diff --git "a/log/log-train-2022-09-17-00-39-59-0" "b/log/log-train-2022-09-17-00-39-59-0"
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+2022-09-17 00:39:59,264 INFO [train.py:949] (0/2) Training started
+2022-09-17 00:40:01,007 INFO [train.py:959] (0/2) Device: cuda:0
+2022-09-17 00:40:01,008 INFO [train.py:973] (0/2) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.19', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '125d34703f898b5ca54f6f4a925f2bc2d7a5ba98', 'k2-git-date': 'Wed Aug 31 04:50:54 2022', 'lhotse-version': '1.6.0', 'torch-version': '1.12.1+cu113', 'torch-cuda-available': True, 'torch-cuda-version': '11.3', 'python-version': '3.8', 'icefall-git-branch': 'uk', 'icefall-git-sha1': '42c4476-dirty', 'icefall-git-date': 'Thu Sep 15 16:29:29 2022', 'icefall-path': '/home/proger/icefall', 'k2-path': '/home/proger/k2/k2/python/k2/__init__.py', 'lhotse-path': '/home/proger/.local/lib/python3.8/site-packages/lhotse/__init__.py', 'hostname': 'rt', 'IP address': '127.0.1.1'}, 'world_size': 2, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp-uk-filtered2'), 'bpe_model': 'uk/data/lang_bpe_250/bpe.model', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': True, 'num_encoder_layers': 18, 'dim_feedforward': 1024, 'nhead': 4, 'encoder_dim': 256, 'decoder_dim': 512, 'joiner_dim': 512, 'dynamic_chunk_training': True, 'causal_convolution': True, 'short_chunk_size': 25, 'num_left_chunks': 4, 'full_libri': True, 'manifest_dir': PosixPath('uk/data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, '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', 'blank_id': 0, 'vocab_size': 250}
+2022-09-17 00:40:01,008 INFO [train.py:975] (0/2) About to create model
+2022-09-17 00:40:01,108 INFO [train.py:979] (0/2) Number of model parameters: 30053246
+2022-09-17 00:40:02,819 INFO [train.py:994] (0/2) Using DDP
+2022-09-17 00:40:02,902 INFO [asr_datamodule_uk.py:422] (0/2) About to get ('train-other-shuffled-filtered2',) cuts
+2022-09-17 00:40:03,441 INFO [asr_datamodule_uk.py:225] (0/2) Enable MUSAN
+2022-09-17 00:40:03,442 INFO [asr_datamodule_uk.py:226] (0/2) About to get Musan cuts
+2022-09-17 00:40:04,920 INFO [asr_datamodule_uk.py:254] (0/2) Enable SpecAugment
+2022-09-17 00:40:04,921 INFO [asr_datamodule_uk.py:255] (0/2) Time warp factor: 80
+2022-09-17 00:40:04,921 INFO [asr_datamodule_uk.py:267] (0/2) Num frame mask: 10
+2022-09-17 00:40:04,921 INFO [asr_datamodule_uk.py:280] (0/2) About to create train dataset
+2022-09-17 00:40:04,921 INFO [asr_datamodule_uk.py:309] (0/2) Using DynamicBucketingSampler.
+2022-09-17 00:40:06,285 INFO [asr_datamodule_uk.py:324] (0/2) About to create train dataloader
+2022-09-17 00:40:06,285 INFO [asr_datamodule_uk.py:434] (0/2) About to get test-other (for dev) cuts
+2022-09-17 00:40:06,286 INFO [asr_datamodule_uk.py:355] (0/2) About to create dev dataset
+2022-09-17 00:40:06,379 INFO [asr_datamodule_uk.py:374] (0/2) About to create dev dataloader
+2022-09-17 00:40:14,939 INFO [train.py:885] (0/2) Epoch 1, batch 0, loss[loss=2.827, simple_loss=5.654, pruned_loss=5.865, over 13542.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.08802, over 42.00 utterances.], tot_loss[loss=2.827, simple_loss=5.654, pruned_loss=5.865, over 13542.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.08802, over 42.00 utterances.], batch size: 42, lr: 3.00e-03
+2022-09-17 00:40:14,998 INFO [distributed.py:995] (0/2) Reducer buckets have been rebuilt in this iteration.
+2022-09-17 00:40:43,410 INFO [train.py:885] (0/2) Epoch 1, batch 50, loss[loss=0.4994, simple_loss=0.9989, pruned_loss=6.582, over 12689.00 frames. utt_duration=2032 frames, utt_pad_proportion=0.1268, over 25.00 utterances.], tot_loss[loss=1.432, simple_loss=2.863, pruned_loss=6.529, over 623699.62 frames. utt_duration=221.1 frames, utt_pad_proportion=0.07838, over 11360.20 utterances.], batch size: 25, lr: 3.00e-03
+2022-09-17 00:41:12,930 INFO [train.py:885] (0/2) Epoch 1, batch 100, loss[loss=0.4571, simple_loss=0.9141, pruned_loss=6.602, over 14131.00 frames. utt_duration=636.7 frames, utt_pad_proportion=0.05114, over 89.00 utterances.], tot_loss[loss=0.9413, simple_loss=1.883, pruned_loss=6.638, over 1101126.10 frames. utt_duration=230.2 frames, utt_pad_proportion=0.0751, over 19256.19 utterances.], batch size: 89, lr: 3.00e-03
+2022-09-17 00:41:42,957 INFO [train.py:885] (0/2) Epoch 1, batch 150, loss[loss=0.5156, simple_loss=1.031, pruned_loss=6.207, over 14364.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03776, over 167.00 utterances.], tot_loss[loss=0.7543, simple_loss=1.509, pruned_loss=6.539, over 1473972.37 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07268, over 24640.01 utterances.], batch size: 167, lr: 3.00e-03
+2022-09-17 00:42:11,720 INFO [train.py:885] (0/2) Epoch 1, batch 200, loss[loss=0.3697, simple_loss=0.7395, pruned_loss=6.024, over 14215.00 frames. utt_duration=640.4 frames, utt_pad_proportion=0.04563, over 89.00 utterances.], tot_loss[loss=0.6546, simple_loss=1.309, pruned_loss=6.434, over 1766662.41 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06958, over 29213.73 utterances.], batch size: 89, lr: 3.00e-03
+2022-09-17 00:42:41,758 INFO [train.py:885] (0/2) Epoch 1, batch 250, loss[loss=0.4472, simple_loss=0.8945, pruned_loss=6.316, over 14260.00 frames. utt_duration=372 frames, utt_pad_proportion=0.03869, over 154.00 utterances.], tot_loss[loss=0.5895, simple_loss=1.179, pruned_loss=6.377, over 1989925.63 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07124, over 32179.23 utterances.], batch size: 154, lr: 3.00e-03
+2022-09-17 00:43:11,091 INFO [train.py:885] (0/2) Epoch 1, batch 300, loss[loss=0.6029, simple_loss=1.206, pruned_loss=6.79, over 13161.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.5501, simple_loss=1.1, pruned_loss=6.359, over 2157051.54 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07453, over 36269.16 utterances.], batch size: 653, lr: 3.00e-03
+2022-09-17 00:43:40,625 INFO [train.py:885] (0/2) Epoch 1, batch 350, loss[loss=0.4676, simple_loss=0.9352, pruned_loss=6.576, over 14373.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03215, over 244.00 utterances.], tot_loss[loss=0.5203, simple_loss=1.041, pruned_loss=6.365, over 2300471.46 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07192, over 38955.00 utterances.], batch size: 244, lr: 3.00e-03
+2022-09-17 00:44:16,416 INFO [train.py:885] (0/2) Epoch 1, batch 400, loss[loss=0.2655, simple_loss=0.531, pruned_loss=5.749, over 13469.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.08724, over 50.00 utterances.], tot_loss[loss=0.4935, simple_loss=0.987, pruned_loss=6.353, over 2407131.50 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07106, over 40863.36 utterances.], batch size: 50, lr: 3.00e-03
+2022-09-17 00:44:47,057 INFO [train.py:885] (0/2) Epoch 1, batch 450, loss[loss=0.4159, simple_loss=0.8319, pruned_loss=6.454, over 14341.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03632, over 195.00 utterances.], tot_loss[loss=0.47, simple_loss=0.9401, pruned_loss=6.347, over 2490867.49 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07035, over 41378.87 utterances.], batch size: 195, lr: 2.99e-03
+2022-09-17 00:45:16,752 INFO [train.py:885] (0/2) Epoch 1, batch 500, loss[loss=0.2869, simple_loss=0.5737, pruned_loss=5.923, over 13894.00 frames. utt_duration=927.7 frames, utt_pad_proportion=0.06765, over 60.00 utterances.], tot_loss[loss=0.4516, simple_loss=0.9032, pruned_loss=6.338, over 2549699.24 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07328, over 42820.40 utterances.], batch size: 60, lr: 2.99e-03
+2022-09-17 00:45:55,384 INFO [train.py:885] (0/2) Epoch 1, batch 550, loss[loss=0.3921, simple_loss=0.7842, pruned_loss=6.403, over 14258.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04474, over 141.00 utterances.], tot_loss[loss=0.4356, simple_loss=0.8712, pruned_loss=6.329, over 2602353.15 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07443, over 44395.70 utterances.], batch size: 141, lr: 2.99e-03
+2022-09-17 00:46:24,822 INFO [train.py:885] (0/2) Epoch 1, batch 600, loss[loss=0.3843, simple_loss=0.7686, pruned_loss=6.442, over 14349.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03589, over 210.00 utterances.], tot_loss[loss=0.4162, simple_loss=0.8323, pruned_loss=6.3, over 2639569.86 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07273, over 43841.66 utterances.], batch size: 210, lr: 2.99e-03
+2022-09-17 00:46:54,629 INFO [train.py:885] (0/2) Epoch 1, batch 650, loss[loss=0.3803, simple_loss=0.7607, pruned_loss=6.268, over 14191.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04475, over 306.00 utterances.], tot_loss[loss=0.4012, simple_loss=0.8024, pruned_loss=6.29, over 2669485.87 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07209, over 44145.81 utterances.], batch size: 306, lr: 2.99e-03
+2022-09-17 00:47:24,357 INFO [train.py:885] (0/2) Epoch 1, batch 700, loss[loss=0.3668, simple_loss=0.7337, pruned_loss=6.323, over 14387.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.03078, over 244.00 utterances.], tot_loss[loss=0.3909, simple_loss=0.7819, pruned_loss=6.293, over 2692403.04 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07268, over 46008.15 utterances.], batch size: 244, lr: 2.99e-03
+2022-09-17 00:47:54,269 INFO [train.py:885] (0/2) Epoch 1, batch 750, loss[loss=0.2603, simple_loss=0.5206, pruned_loss=5.986, over 13978.00 frames. utt_duration=708.9 frames, utt_pad_proportion=0.06225, over 79.00 utterances.], tot_loss[loss=0.3819, simple_loss=0.7637, pruned_loss=6.296, over 2710010.88 frames. utt_duration=229.3 frames, utt_pad_proportion=0.07292, over 47589.89 utterances.], batch size: 79, lr: 2.98e-03
+2022-09-17 00:48:23,340 INFO [train.py:885] (0/2) Epoch 1, batch 800, loss[loss=0.3447, simple_loss=0.6894, pruned_loss=6.356, over 14274.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04026, over 180.00 utterances.], tot_loss[loss=0.3691, simple_loss=0.7381, pruned_loss=6.288, over 2731331.84 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07045, over 46161.92 utterances.], batch size: 180, lr: 2.98e-03
+2022-09-17 00:48:52,589 INFO [train.py:885] (0/2) Epoch 1, batch 850, loss[loss=0.2484, simple_loss=0.4969, pruned_loss=6.109, over 13584.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08568, over 50.00 utterances.], tot_loss[loss=0.3601, simple_loss=0.7203, pruned_loss=6.285, over 2744337.38 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07019, over 46125.22 utterances.], batch size: 50, lr: 2.98e-03
+2022-09-17 00:49:22,337 INFO [train.py:885] (0/2) Epoch 1, batch 900, loss[loss=0.1874, simple_loss=0.3749, pruned_loss=5.854, over 13359.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08829, over 41.00 utterances.], tot_loss[loss=0.3517, simple_loss=0.7034, pruned_loss=6.286, over 2750733.25 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07064, over 45776.39 utterances.], batch size: 41, lr: 2.98e-03
+2022-09-17 00:49:51,826 INFO [train.py:885] (0/2) Epoch 1, batch 950, loss[loss=0.3371, simple_loss=0.6743, pruned_loss=6.432, over 14369.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03453, over 195.00 utterances.], tot_loss[loss=0.3454, simple_loss=0.6908, pruned_loss=6.289, over 2754608.06 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07161, over 45953.40 utterances.], batch size: 195, lr: 2.97e-03
+2022-09-17 00:50:21,889 INFO [train.py:885] (0/2) Epoch 1, batch 1000, loss[loss=0.2247, simple_loss=0.4495, pruned_loss=5.915, over 13409.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08485, over 41.00 utterances.], tot_loss[loss=0.3373, simple_loss=0.6746, pruned_loss=6.296, over 2759643.56 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07183, over 45286.11 utterances.], batch size: 41, lr: 2.97e-03
+2022-09-17 00:50:51,328 INFO [train.py:885] (0/2) Epoch 1, batch 1050, loss[loss=0.3012, simple_loss=0.6023, pruned_loss=6.362, over 14213.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04548, over 141.00 utterances.], tot_loss[loss=0.328, simple_loss=0.6559, pruned_loss=6.289, over 2759825.65 frames. utt_duration=258.7 frames, utt_pad_proportion=0.07154, over 42917.56 utterances.], batch size: 141, lr: 2.97e-03
+2022-09-17 00:51:21,107 INFO [train.py:885] (0/2) Epoch 1, batch 1100, loss[loss=0.3028, simple_loss=0.6056, pruned_loss=6.363, over 14348.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03663, over 195.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.6475, pruned_loss=6.295, over 2763435.47 frames. utt_duration=252.9 frames, utt_pad_proportion=0.0711, over 43961.88 utterances.], batch size: 195, lr: 2.96e-03
+2022-09-17 00:51:55,278 INFO [train.py:885] (0/2) Epoch 1, batch 1150, loss[loss=0.3563, simple_loss=0.7127, pruned_loss=6.492, over 13974.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05795, over 365.00 utterances.], tot_loss[loss=0.3226, simple_loss=0.6452, pruned_loss=6.314, over 2767973.97 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07167, over 45503.15 utterances.], batch size: 365, lr: 2.96e-03
+2022-09-17 00:52:27,500 INFO [train.py:885] (0/2) Epoch 1, batch 1200, loss[loss=0.3559, simple_loss=0.7117, pruned_loss=6.658, over 14059.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05122, over 367.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.6318, pruned_loss=6.317, over 2775645.26 frames. utt_duration=251.8 frames, utt_pad_proportion=0.0686, over 44348.40 utterances.], batch size: 367, lr: 2.96e-03
+2022-09-17 00:52:57,079 INFO [train.py:885] (0/2) Epoch 1, batch 1250, loss[loss=0.3516, simple_loss=0.7033, pruned_loss=6.503, over 13938.00 frames. utt_duration=154.1 frames, utt_pad_proportion=0.06019, over 365.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.6298, pruned_loss=6.339, over 2776294.97 frames. utt_duration=241.4 frames, utt_pad_proportion=0.06973, over 46282.79 utterances.], batch size: 365, lr: 2.95e-03
+2022-09-17 00:53:27,118 INFO [train.py:885] (0/2) Epoch 1, batch 1300, loss[loss=0.2204, simple_loss=0.4408, pruned_loss=6.109, over 14111.00 frames. utt_duration=715.8 frames, utt_pad_proportion=0.05311, over 79.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.6162, pruned_loss=6.33, over 2776549.07 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06855, over 44655.76 utterances.], batch size: 79, lr: 2.95e-03
+2022-09-17 00:53:56,577 INFO [train.py:885] (0/2) Epoch 1, batch 1350, loss[loss=0.3191, simple_loss=0.6382, pruned_loss=6.483, over 14298.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04, over 283.00 utterances.], tot_loss[loss=0.3055, simple_loss=0.611, pruned_loss=6.339, over 2778899.13 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06925, over 44938.09 utterances.], batch size: 283, lr: 2.95e-03
+2022-09-17 00:54:26,250 INFO [train.py:885] (0/2) Epoch 1, batch 1400, loss[loss=0.2304, simple_loss=0.4608, pruned_loss=6.136, over 13927.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.05865, over 69.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.6084, pruned_loss=6.352, over 2782030.83 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06985, over 45922.93 utterances.], batch size: 69, lr: 2.94e-03
+2022-09-17 00:54:55,912 INFO [train.py:885] (0/2) Epoch 1, batch 1450, loss[loss=0.2158, simple_loss=0.4316, pruned_loss=6.092, over 12832.00 frames. utt_duration=2055 frames, utt_pad_proportion=0.1338, over 25.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.6077, pruned_loss=6.361, over 2782483.00 frames. utt_duration=238.5 frames, utt_pad_proportion=0.06975, over 46948.77 utterances.], batch size: 25, lr: 2.94e-03
+2022-09-17 00:55:25,842 INFO [train.py:885] (0/2) Epoch 1, batch 1500, loss[loss=0.3483, simple_loss=0.6966, pruned_loss=6.536, over 13843.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06952, over 412.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.5912, pruned_loss=6.349, over 2786762.11 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06706, over 43576.27 utterances.], batch size: 412, lr: 2.94e-03
+2022-09-17 00:55:55,951 INFO [train.py:885] (0/2) Epoch 1, batch 1550, loss[loss=0.3318, simple_loss=0.6637, pruned_loss=6.479, over 14308.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03935, over 283.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.5884, pruned_loss=6.351, over 2782677.20 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06706, over 44636.06 utterances.], batch size: 283, lr: 2.93e-03
+2022-09-17 00:56:25,190 INFO [train.py:885] (0/2) Epoch 1, batch 1600, loss[loss=0.3579, simple_loss=0.7158, pruned_loss=6.436, over 14021.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05454, over 365.00 utterances.], tot_loss[loss=0.292, simple_loss=0.5839, pruned_loss=6.362, over 2785944.41 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06641, over 43817.32 utterances.], batch size: 365, lr: 2.93e-03
+2022-09-17 00:56:55,175 INFO [train.py:885] (0/2) Epoch 1, batch 1650, loss[loss=0.1594, simple_loss=0.3188, pruned_loss=5.972, over 11978.00 frames. utt_duration=1998 frames, utt_pad_proportion=0.1932, over 24.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.5817, pruned_loss=6.371, over 2784143.34 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06822, over 44869.54 utterances.], batch size: 24, lr: 2.92e-03
+2022-09-17 00:57:24,664 INFO [train.py:885] (0/2) Epoch 1, batch 1700, loss[loss=0.302, simple_loss=0.604, pruned_loss=6.454, over 14310.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03852, over 180.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.5736, pruned_loss=6.372, over 2785022.58 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06757, over 43993.40 utterances.], batch size: 180, lr: 2.92e-03
+2022-09-17 00:57:54,856 INFO [train.py:885] (0/2) Epoch 1, batch 1750, loss[loss=0.335, simple_loss=0.6699, pruned_loss=6.734, over 13620.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.07842, over 560.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.5697, pruned_loss=6.378, over 2786202.15 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06717, over 44277.47 utterances.], batch size: 560, lr: 2.91e-03
+2022-09-17 00:58:24,899 INFO [train.py:885] (0/2) Epoch 1, batch 1800, loss[loss=0.1859, simple_loss=0.3718, pruned_loss=5.999, over 13163.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.1161, over 33.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.5726, pruned_loss=6.391, over 2784772.55 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07053, over 45051.66 utterances.], batch size: 33, lr: 2.91e-03
+2022-09-17 00:58:53,929 INFO [train.py:885] (0/2) Epoch 1, batch 1850, loss[loss=0.1805, simple_loss=0.3609, pruned_loss=6.03, over 13516.00 frames. utt_duration=1320 frames, utt_pad_proportion=0.0776, over 41.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.5622, pruned_loss=6.384, over 2781963.12 frames. utt_duration=256.4 frames, utt_pad_proportion=0.07025, over 43645.20 utterances.], batch size: 41, lr: 2.91e-03
+2022-09-17 00:59:23,327 INFO [train.py:885] (0/2) Epoch 1, batch 1900, loss[loss=0.3017, simple_loss=0.6033, pruned_loss=6.45, over 14396.00 frames. utt_duration=373 frames, utt_pad_proportion=0.03608, over 155.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.5583, pruned_loss=6.389, over 2777733.80 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07214, over 44226.03 utterances.], batch size: 155, lr: 2.90e-03
+2022-09-17 00:59:52,622 INFO [train.py:885] (0/2) Epoch 1, batch 1950, loss[loss=0.2975, simple_loss=0.595, pruned_loss=6.547, over 14321.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03835, over 283.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.5603, pruned_loss=6.395, over 2779303.50 frames. utt_duration=248.9 frames, utt_pad_proportion=0.072, over 44934.41 utterances.], batch size: 283, lr: 2.90e-03
+2022-09-17 01:00:22,747 INFO [train.py:885] (0/2) Epoch 1, batch 2000, loss[loss=0.268, simple_loss=0.536, pruned_loss=6.463, over 14314.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03783, over 180.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.5602, pruned_loss=6.407, over 2773869.19 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07604, over 45614.90 utterances.], batch size: 180, lr: 2.89e-03
+2022-09-17 01:00:52,046 INFO [train.py:885] (0/2) Epoch 1, batch 2050, loss[loss=0.4421, simple_loss=0.8843, pruned_loss=7.023, over 12459.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1471, over 810.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.5608, pruned_loss=6.41, over 2778154.33 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07509, over 45913.13 utterances.], batch size: 810, lr: 2.89e-03
+2022-09-17 01:01:22,024 INFO [train.py:885] (0/2) Epoch 1, batch 2100, loss[loss=0.1736, simple_loss=0.3471, pruned_loss=5.993, over 12540.00 frames. utt_duration=2092 frames, utt_pad_proportion=0.1493, over 24.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.5544, pruned_loss=6.41, over 2776488.18 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07401, over 45271.52 utterances.], batch size: 24, lr: 2.88e-03
+2022-09-17 01:01:52,411 INFO [train.py:885] (0/2) Epoch 1, batch 2150, loss[loss=0.3278, simple_loss=0.6555, pruned_loss=6.676, over 13647.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07966, over 477.00 utterances.], tot_loss[loss=0.277, simple_loss=0.554, pruned_loss=6.413, over 2774823.09 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07356, over 45852.28 utterances.], batch size: 477, lr: 2.88e-03
+2022-09-17 01:02:21,661 INFO [train.py:885] (0/2) Epoch 1, batch 2200, loss[loss=0.2053, simple_loss=0.4105, pruned_loss=6.118, over 12448.00 frames. utt_duration=2076 frames, utt_pad_proportion=0.159, over 24.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.5539, pruned_loss=6.419, over 2779443.27 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07141, over 45369.91 utterances.], batch size: 24, lr: 2.87e-03
+2022-09-17 01:02:50,949 INFO [train.py:885] (0/2) Epoch 1, batch 2250, loss[loss=0.2848, simple_loss=0.5695, pruned_loss=6.455, over 14350.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03592, over 210.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.5507, pruned_loss=6.42, over 2779911.16 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07195, over 45067.58 utterances.], batch size: 210, lr: 2.86e-03
+2022-09-17 01:03:21,352 INFO [train.py:885] (0/2) Epoch 1, batch 2300, loss[loss=0.306, simple_loss=0.6119, pruned_loss=6.52, over 14219.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04388, over 335.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.5549, pruned_loss=6.432, over 2777804.04 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07332, over 47231.58 utterances.], batch size: 335, lr: 2.86e-03
+2022-09-17 01:03:50,744 INFO [train.py:885] (0/2) Epoch 1, batch 2350, loss[loss=0.2516, simple_loss=0.5033, pruned_loss=6.424, over 14359.00 frames. utt_duration=476.1 frames, utt_pad_proportion=0.04007, over 121.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.5525, pruned_loss=6.429, over 2778634.14 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07344, over 46964.04 utterances.], batch size: 121, lr: 2.85e-03
+2022-09-17 01:04:20,736 INFO [train.py:885] (0/2) Epoch 1, batch 2400, loss[loss=0.3104, simple_loss=0.6208, pruned_loss=6.619, over 13711.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07744, over 478.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.5525, pruned_loss=6.443, over 2777487.57 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07405, over 47735.16 utterances.], batch size: 478, lr: 2.85e-03
+2022-09-17 01:04:50,522 INFO [train.py:885] (0/2) Epoch 1, batch 2450, loss[loss=0.2865, simple_loss=0.5729, pruned_loss=6.498, over 14007.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05556, over 365.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.5495, pruned_loss=6.447, over 2781274.60 frames. utt_duration=236.3 frames, utt_pad_proportion=0.0732, over 47372.42 utterances.], batch size: 365, lr: 2.84e-03
+2022-09-17 01:05:19,964 INFO [train.py:885] (0/2) Epoch 1, batch 2500, loss[loss=0.2281, simple_loss=0.4562, pruned_loss=6.357, over 14243.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04414, over 141.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.5353, pruned_loss=6.432, over 2781887.05 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07067, over 43989.95 utterances.], batch size: 141, lr: 2.84e-03
+2022-09-17 01:05:49,995 INFO [train.py:885] (0/2) Epoch 1, batch 2550, loss[loss=0.3168, simple_loss=0.6335, pruned_loss=6.685, over 13791.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07064, over 411.00 utterances.], tot_loss[loss=0.27, simple_loss=0.5401, pruned_loss=6.449, over 2778161.37 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07286, over 45277.97 utterances.], batch size: 411, lr: 2.83e-03
+2022-09-17 01:06:19,764 INFO [train.py:885] (0/2) Epoch 1, batch 2600, loss[loss=0.2016, simple_loss=0.4031, pruned_loss=6.27, over 14153.00 frames. utt_duration=579.2 frames, utt_pad_proportion=0.05055, over 98.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.535, pruned_loss=6.446, over 2778166.26 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07271, over 44387.59 utterances.], batch size: 98, lr: 2.83e-03
+2022-09-17 01:06:49,173 INFO [train.py:885] (0/2) Epoch 1, batch 2650, loss[loss=0.2719, simple_loss=0.5437, pruned_loss=6.575, over 14308.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03802, over 154.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.5366, pruned_loss=6.46, over 2780912.37 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07178, over 45102.11 utterances.], batch size: 154, lr: 2.82e-03
+2022-09-17 01:07:19,438 INFO [train.py:885] (0/2) Epoch 1, batch 2700, loss[loss=0.1881, simple_loss=0.3763, pruned_loss=6.184, over 12767.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.09388, over 25.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.5308, pruned_loss=6.456, over 2776627.24 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07205, over 44475.10 utterances.], batch size: 25, lr: 2.81e-03
+2022-09-17 01:07:48,464 INFO [train.py:885] (0/2) Epoch 1, batch 2750, loss[loss=0.362, simple_loss=0.724, pruned_loss=6.774, over 13192.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1048, over 653.00 utterances.], tot_loss[loss=0.2645, simple_loss=0.529, pruned_loss=6.46, over 2780325.61 frames. utt_duration=252.6 frames, utt_pad_proportion=0.0707, over 44292.39 utterances.], batch size: 653, lr: 2.81e-03
+2022-09-17 01:08:18,634 INFO [train.py:885] (0/2) Epoch 1, batch 2800, loss[loss=0.4546, simple_loss=0.9092, pruned_loss=7.119, over 12490.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.147, over 811.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.5293, pruned_loss=6.465, over 2780631.95 frames. utt_duration=244.2 frames, utt_pad_proportion=0.0716, over 45827.63 utterances.], batch size: 811, lr: 2.80e-03
+2022-09-17 01:08:48,111 INFO [train.py:885] (0/2) Epoch 1, batch 2850, loss[loss=0.305, simple_loss=0.6099, pruned_loss=6.715, over 13724.00 frames. utt_duration=116.5 frames, utt_pad_proportion=0.07549, over 477.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.5326, pruned_loss=6.479, over 2783444.59 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07162, over 46911.72 utterances.], batch size: 477, lr: 2.80e-03
+2022-09-17 01:09:17,774 INFO [train.py:885] (0/2) Epoch 1, batch 2900, loss[loss=0.2661, simple_loss=0.5322, pruned_loss=6.546, over 14328.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03785, over 195.00 utterances.], tot_loss[loss=0.267, simple_loss=0.5339, pruned_loss=6.485, over 2783467.82 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07205, over 47036.02 utterances.], batch size: 195, lr: 2.79e-03
+2022-09-17 01:09:46,971 INFO [train.py:885] (0/2) Epoch 1, batch 2950, loss[loss=0.3367, simple_loss=0.6734, pruned_loss=6.779, over 13627.00 frames. utt_duration=98.71 frames, utt_pad_proportion=0.07749, over 560.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.5304, pruned_loss=6.484, over 2783663.70 frames. utt_duration=242.8 frames, utt_pad_proportion=0.06995, over 46146.77 utterances.], batch size: 560, lr: 2.78e-03
+2022-09-17 01:10:16,717 INFO [train.py:885] (0/2) Epoch 1, batch 3000, loss[loss=0.9467, simple_loss=0.583, pruned_loss=6.552, over 14227.00 frames. utt_duration=254.4 frames, utt_pad_proportion=0.04368, over 225.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.5267, pruned_loss=6.487, over 2786723.58 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06823, over 45385.65 utterances.], batch size: 225, lr: 2.78e-03
+2022-09-17 01:10:16,718 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 01:10:21,630 INFO [train.py:914] (0/2) Epoch 1, validation: loss=2.24, simple_loss=0.4092, pruned_loss=2.035, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 01:10:50,545 INFO [train.py:885] (0/2) Epoch 1, batch 3050, loss[loss=0.2886, simple_loss=0.4439, pruned_loss=0.6659, over 14257.00 frames. utt_duration=642.4 frames, utt_pad_proportion=0.04263, over 89.00 utterances.], tot_loss[loss=0.3185, simple_loss=0.5283, pruned_loss=5.308, over 2785920.85 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06932, over 45711.42 utterances.], batch size: 89, lr: 2.77e-03
+2022-09-17 01:11:20,186 INFO [train.py:885] (0/2) Epoch 1, batch 3100, loss[loss=0.1873, simple_loss=0.3194, pruned_loss=0.2755, over 13226.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.09871, over 33.00 utterances.], tot_loss[loss=0.3195, simple_loss=0.5275, pruned_loss=4.266, over 2785000.32 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06847, over 45660.88 utterances.], batch size: 33, lr: 2.77e-03
+2022-09-17 01:11:49,871 INFO [train.py:885] (0/2) Epoch 1, batch 3150, loss[loss=0.1931, simple_loss=0.335, pruned_loss=0.2555, over 13391.00 frames. utt_duration=1624 frames, utt_pad_proportion=0.09557, over 33.00 utterances.], tot_loss[loss=0.3177, simple_loss=0.5272, pruned_loss=3.433, over 2779336.63 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07259, over 47060.59 utterances.], batch size: 33, lr: 2.76e-03
+2022-09-17 01:12:19,314 INFO [train.py:885] (0/2) Epoch 1, batch 3200, loss[loss=0.1533, simple_loss=0.2697, pruned_loss=0.1843, over 13116.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1071, over 33.00 utterances.], tot_loss[loss=0.3139, simple_loss=0.5248, pruned_loss=2.769, over 2776188.47 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07401, over 46774.74 utterances.], batch size: 33, lr: 2.75e-03
+2022-09-17 01:12:49,291 INFO [train.py:885] (0/2) Epoch 1, batch 3250, loss[loss=0.3249, simple_loss=0.5632, pruned_loss=0.4331, over 14374.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03249, over 244.00 utterances.], tot_loss[loss=0.3133, simple_loss=0.528, pruned_loss=2.245, over 2780774.83 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07323, over 47962.17 utterances.], batch size: 244, lr: 2.75e-03
+2022-09-17 01:13:19,222 INFO [train.py:885] (0/2) Epoch 1, batch 3300, loss[loss=0.2435, simple_loss=0.4254, pruned_loss=0.3075, over 14058.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05699, over 98.00 utterances.], tot_loss[loss=0.309, simple_loss=0.5245, pruned_loss=1.83, over 2782200.65 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07262, over 47329.77 utterances.], batch size: 98, lr: 2.74e-03
+2022-09-17 01:13:47,958 INFO [train.py:885] (0/2) Epoch 1, batch 3350, loss[loss=0.3106, simple_loss=0.5424, pruned_loss=0.3939, over 14379.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03203, over 244.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.5215, pruned_loss=1.505, over 2784829.23 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07132, over 46096.71 utterances.], batch size: 244, lr: 2.73e-03
+2022-09-17 01:14:17,500 INFO [train.py:885] (0/2) Epoch 1, batch 3400, loss[loss=0.2372, simple_loss=0.4192, pruned_loss=0.2767, over 14070.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05471, over 98.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.5166, pruned_loss=1.25, over 2784601.16 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07031, over 44437.96 utterances.], batch size: 98, lr: 2.73e-03
+2022-09-17 01:14:46,971 INFO [train.py:885] (0/2) Epoch 1, batch 3450, loss[loss=0.4042, simple_loss=0.6961, pruned_loss=0.5615, over 14272.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04067, over 335.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.5191, pruned_loss=1.055, over 2785736.14 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07102, over 45370.19 utterances.], batch size: 335, lr: 2.72e-03
+2022-09-17 01:15:16,372 INFO [train.py:885] (0/2) Epoch 1, batch 3500, loss[loss=0.2456, simple_loss=0.4378, pruned_loss=0.2667, over 14092.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05317, over 98.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.5182, pruned_loss=0.8987, over 2788445.05 frames. utt_duration=248 frames, utt_pad_proportion=0.06853, over 45240.48 utterances.], batch size: 98, lr: 2.72e-03
+2022-09-17 01:15:46,039 INFO [train.py:885] (0/2) Epoch 1, batch 3550, loss[loss=0.3235, simple_loss=0.5694, pruned_loss=0.388, over 14363.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03571, over 195.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.5146, pruned_loss=0.7749, over 2785250.06 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06943, over 45021.29 utterances.], batch size: 195, lr: 2.71e-03
+2022-09-17 01:16:15,610 INFO [train.py:885] (0/2) Epoch 1, batch 3600, loss[loss=0.2023, simple_loss=0.3623, pruned_loss=0.2118, over 13522.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.09055, over 50.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.5181, pruned_loss=0.6848, over 2781375.15 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07205, over 46760.83 utterances.], batch size: 50, lr: 2.70e-03
+2022-09-17 01:16:45,030 INFO [train.py:885] (0/2) Epoch 1, batch 3650, loss[loss=0.2836, simple_loss=0.5031, pruned_loss=0.3208, over 14258.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04504, over 141.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.5183, pruned_loss=0.6112, over 2779623.07 frames. utt_duration=242.4 frames, utt_pad_proportion=0.0721, over 46142.32 utterances.], batch size: 141, lr: 2.70e-03
+2022-09-17 01:17:13,501 INFO [train.py:885] (0/2) Epoch 1, batch 3700, loss[loss=0.2179, simple_loss=0.3881, pruned_loss=0.2387, over 14053.00 frames. utt_duration=712.9 frames, utt_pad_proportion=0.05193, over 79.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.5154, pruned_loss=0.5494, over 2781283.63 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07134, over 45637.35 utterances.], batch size: 79, lr: 2.69e-03
+2022-09-17 01:17:43,381 INFO [train.py:885] (0/2) Epoch 1, batch 3750, loss[loss=0.2037, simple_loss=0.3649, pruned_loss=0.2126, over 13976.00 frames. utt_duration=811.7 frames, utt_pad_proportion=0.05505, over 69.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.5179, pruned_loss=0.5055, over 2775406.24 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07509, over 46857.91 utterances.], batch size: 69, lr: 2.68e-03
+2022-09-17 01:18:13,036 INFO [train.py:885] (0/2) Epoch 1, batch 3800, loss[loss=0.3751, simple_loss=0.6623, pruned_loss=0.4395, over 13604.00 frames. utt_duration=98.53 frames, utt_pad_proportion=0.07919, over 560.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.513, pruned_loss=0.4653, over 2773340.73 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07389, over 46158.88 utterances.], batch size: 560, lr: 2.68e-03
+2022-09-17 01:18:43,369 INFO [train.py:885] (0/2) Epoch 1, batch 3850, loss[loss=0.3565, simple_loss=0.6307, pruned_loss=0.4118, over 13637.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08096, over 477.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.5207, pruned_loss=0.4426, over 2774591.53 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07583, over 48654.72 utterances.], batch size: 477, lr: 2.67e-03
+2022-09-17 01:19:12,641 INFO [train.py:885] (0/2) Epoch 1, batch 3900, loss[loss=0.2697, simple_loss=0.4807, pruned_loss=0.2932, over 14311.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.0376, over 180.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.5215, pruned_loss=0.4206, over 2775800.58 frames. utt_duration=226.2 frames, utt_pad_proportion=0.07729, over 49408.62 utterances.], batch size: 180, lr: 2.66e-03
+2022-09-17 01:19:41,955 INFO [train.py:885] (0/2) Epoch 1, batch 3950, loss[loss=0.2586, simple_loss=0.4592, pruned_loss=0.2896, over 14187.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04365, over 109.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.5161, pruned_loss=0.3985, over 2779779.37 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07504, over 47902.64 utterances.], batch size: 109, lr: 2.66e-03
+2022-09-17 01:20:10,674 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-4000.pt
+2022-09-17 01:20:11,713 INFO [train.py:885] (0/2) Epoch 1, batch 4000, loss[loss=0.2974, simple_loss=0.5334, pruned_loss=0.3069, over 13995.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05615, over 365.00 utterances.], tot_loss[loss=0.294, simple_loss=0.519, pruned_loss=0.3861, over 2778431.94 frames. utt_duration=227 frames, utt_pad_proportion=0.07598, over 49281.72 utterances.], batch size: 365, lr: 2.65e-03
+2022-09-17 01:20:40,835 INFO [train.py:885] (0/2) Epoch 1, batch 4050, loss[loss=0.3133, simple_loss=0.5596, pruned_loss=0.3344, over 13747.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07253, over 411.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.5133, pruned_loss=0.3696, over 2781078.48 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07397, over 47627.20 utterances.], batch size: 411, lr: 2.64e-03
+2022-09-17 01:21:10,119 INFO [train.py:885] (0/2) Epoch 1, batch 4100, loss[loss=0.2906, simple_loss=0.5151, pruned_loss=0.3304, over 14355.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03329, over 244.00 utterances.], tot_loss[loss=0.286, simple_loss=0.5061, pruned_loss=0.3545, over 2780696.58 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07183, over 45651.76 utterances.], batch size: 244, lr: 2.64e-03
+2022-09-17 01:21:40,411 INFO [train.py:885] (0/2) Epoch 1, batch 4150, loss[loss=0.1925, simple_loss=0.3483, pruned_loss=0.1837, over 12505.00 frames. utt_duration=2085 frames, utt_pad_proportion=0.1488, over 24.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.5059, pruned_loss=0.3481, over 2779451.96 frames. utt_duration=243 frames, utt_pad_proportion=0.07141, over 46024.50 utterances.], batch size: 24, lr: 2.63e-03
+2022-09-17 01:22:16,292 INFO [train.py:885] (0/2) Epoch 1, batch 4200, loss[loss=0.3202, simple_loss=0.5715, pruned_loss=0.3451, over 13757.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07236, over 411.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.5073, pruned_loss=0.3429, over 2780524.28 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07274, over 46673.50 utterances.], batch size: 411, lr: 2.63e-03
+2022-09-17 01:22:46,042 INFO [train.py:885] (0/2) Epoch 1, batch 4250, loss[loss=0.2854, simple_loss=0.509, pruned_loss=0.3088, over 14339.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03688, over 210.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.507, pruned_loss=0.3377, over 2781196.64 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07225, over 46517.59 utterances.], batch size: 210, lr: 2.62e-03
+2022-09-17 01:23:15,395 INFO [train.py:885] (0/2) Epoch 1, batch 4300, loss[loss=0.3392, simple_loss=0.6041, pruned_loss=0.3716, over 13635.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08144, over 477.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.4994, pruned_loss=0.3275, over 2781306.61 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06991, over 44780.89 utterances.], batch size: 477, lr: 2.61e-03
+2022-09-17 01:23:45,299 INFO [train.py:885] (0/2) Epoch 1, batch 4350, loss[loss=0.2113, simple_loss=0.3818, pruned_loss=0.2043, over 14079.00 frames. utt_duration=714.2 frames, utt_pad_proportion=0.05527, over 79.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.4979, pruned_loss=0.3222, over 2778935.32 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07086, over 45434.21 utterances.], batch size: 79, lr: 2.61e-03
+2022-09-17 01:24:14,134 INFO [train.py:885] (0/2) Epoch 1, batch 4400, loss[loss=0.2334, simple_loss=0.4179, pruned_loss=0.2447, over 14175.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04446, over 109.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.4992, pruned_loss=0.3208, over 2785623.92 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06795, over 45176.79 utterances.], batch size: 109, lr: 2.60e-03
+2022-09-17 01:24:44,374 INFO [train.py:885] (0/2) Epoch 1, batch 4450, loss[loss=0.2285, simple_loss=0.4102, pruned_loss=0.2341, over 14033.00 frames. utt_duration=574.2 frames, utt_pad_proportion=0.0572, over 98.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.5015, pruned_loss=0.3199, over 2782492.95 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07041, over 46594.50 utterances.], batch size: 98, lr: 2.59e-03
+2022-09-17 01:25:15,033 INFO [train.py:885] (0/2) Epoch 1, batch 4500, loss[loss=0.1739, simple_loss=0.3146, pruned_loss=0.1658, over 13607.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.08969, over 42.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.5016, pruned_loss=0.3182, over 2776407.24 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07375, over 47237.08 utterances.], batch size: 42, lr: 2.59e-03
+2022-09-17 01:25:44,742 INFO [train.py:885] (0/2) Epoch 1, batch 4550, loss[loss=0.2035, simple_loss=0.3658, pruned_loss=0.2063, over 13945.00 frames. utt_duration=931 frames, utt_pad_proportion=0.06524, over 60.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.4994, pruned_loss=0.3146, over 2779683.81 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07235, over 46659.64 utterances.], batch size: 60, lr: 2.58e-03
+2022-09-17 01:26:14,578 INFO [train.py:885] (0/2) Epoch 1, batch 4600, loss[loss=0.2603, simple_loss=0.4632, pruned_loss=0.2875, over 14303.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04076, over 154.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.4957, pruned_loss=0.3102, over 2776941.82 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07057, over 45739.37 utterances.], batch size: 154, lr: 2.57e-03
+2022-09-17 01:26:43,778 INFO [train.py:885] (0/2) Epoch 1, batch 4650, loss[loss=0.2863, simple_loss=0.5101, pruned_loss=0.3129, over 14262.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04501, over 141.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.4971, pruned_loss=0.311, over 2776708.63 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07167, over 45845.21 utterances.], batch size: 141, lr: 2.57e-03
+2022-09-17 01:27:13,589 INFO [train.py:885] (0/2) Epoch 1, batch 4700, loss[loss=0.2953, simple_loss=0.5257, pruned_loss=0.3246, over 14294.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03946, over 180.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.4961, pruned_loss=0.3094, over 2773972.98 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07119, over 44868.71 utterances.], batch size: 180, lr: 2.56e-03
+2022-09-17 01:27:42,776 INFO [train.py:885] (0/2) Epoch 1, batch 4750, loss[loss=0.1833, simple_loss=0.332, pruned_loss=0.1729, over 13252.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.0948, over 41.00 utterances.], tot_loss[loss=0.278, simple_loss=0.4948, pruned_loss=0.3068, over 2776005.06 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07115, over 44811.75 utterances.], batch size: 41, lr: 2.55e-03
+2022-09-17 01:28:11,904 INFO [train.py:885] (0/2) Epoch 1, batch 4800, loss[loss=0.1711, simple_loss=0.3107, pruned_loss=0.1571, over 13946.00 frames. utt_duration=931.1 frames, utt_pad_proportion=0.05854, over 60.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.4899, pruned_loss=0.3031, over 2779525.41 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06978, over 43223.72 utterances.], batch size: 60, lr: 2.55e-03
+2022-09-17 01:28:42,059 INFO [train.py:885] (0/2) Epoch 1, batch 4850, loss[loss=0.2746, simple_loss=0.4895, pruned_loss=0.2983, over 14269.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04055, over 180.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.4899, pruned_loss=0.3029, over 2777702.47 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0705, over 43856.68 utterances.], batch size: 180, lr: 2.54e-03
+2022-09-17 01:29:11,277 INFO [train.py:885] (0/2) Epoch 1, batch 4900, loss[loss=0.2236, simple_loss=0.4038, pruned_loss=0.2166, over 13383.00 frames. utt_duration=1072 frames, utt_pad_proportion=0.09839, over 50.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.4887, pruned_loss=0.3002, over 2783524.66 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06841, over 43507.53 utterances.], batch size: 50, lr: 2.54e-03
+2022-09-17 01:29:40,819 INFO [train.py:885] (0/2) Epoch 1, batch 4950, loss[loss=0.2555, simple_loss=0.4528, pruned_loss=0.2912, over 14070.00 frames. utt_duration=713.8 frames, utt_pad_proportion=0.05329, over 79.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.4943, pruned_loss=0.3041, over 2781792.54 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07029, over 45125.90 utterances.], batch size: 79, lr: 2.53e-03
+2022-09-17 01:30:10,407 INFO [train.py:885] (0/2) Epoch 1, batch 5000, loss[loss=0.242, simple_loss=0.4361, pruned_loss=0.2389, over 14216.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04763, over 141.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.4961, pruned_loss=0.3045, over 2780198.13 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07155, over 46339.38 utterances.], batch size: 141, lr: 2.52e-03
+2022-09-17 01:30:40,601 INFO [train.py:885] (0/2) Epoch 1, batch 5050, loss[loss=0.2985, simple_loss=0.5364, pruned_loss=0.303, over 13998.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0561, over 365.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.4971, pruned_loss=0.3035, over 2778228.66 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07251, over 47698.86 utterances.], batch size: 365, lr: 2.52e-03
+2022-09-17 01:31:09,885 INFO [train.py:885] (0/2) Epoch 1, batch 5100, loss[loss=0.309, simple_loss=0.5537, pruned_loss=0.3216, over 13738.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07394, over 411.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.4971, pruned_loss=0.3033, over 2781688.71 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07183, over 47206.02 utterances.], batch size: 411, lr: 2.51e-03
+2022-09-17 01:31:39,478 INFO [train.py:885] (0/2) Epoch 1, batch 5150, loss[loss=0.2656, simple_loss=0.4763, pruned_loss=0.2746, over 14305.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.04175, over 141.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.4962, pruned_loss=0.3018, over 2781624.73 frames. utt_duration=236.1 frames, utt_pad_proportion=0.0707, over 47423.91 utterances.], batch size: 141, lr: 2.50e-03
+2022-09-17 01:32:08,679 INFO [train.py:885] (0/2) Epoch 1, batch 5200, loss[loss=0.2173, simple_loss=0.3951, pruned_loss=0.1973, over 14055.00 frames. utt_duration=804.7 frames, utt_pad_proportion=0.05773, over 70.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.4911, pruned_loss=0.2971, over 2780784.12 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07114, over 46474.76 utterances.], batch size: 70, lr: 2.50e-03
+2022-09-17 01:32:38,615 INFO [train.py:885] (0/2) Epoch 1, batch 5250, loss[loss=0.2595, simple_loss=0.4654, pruned_loss=0.268, over 14306.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.0405, over 154.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.4902, pruned_loss=0.2953, over 2780271.12 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07119, over 46875.86 utterances.], batch size: 154, lr: 2.49e-03
+2022-09-17 01:33:08,014 INFO [train.py:885] (0/2) Epoch 1, batch 5300, loss[loss=0.2635, simple_loss=0.4718, pruned_loss=0.2764, over 14340.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03548, over 130.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.4888, pruned_loss=0.2936, over 2784629.37 frames. utt_duration=241.9 frames, utt_pad_proportion=0.06847, over 46333.66 utterances.], batch size: 130, lr: 2.49e-03
+2022-09-17 01:33:37,471 INFO [train.py:885] (0/2) Epoch 1, batch 5350, loss[loss=0.2923, simple_loss=0.5195, pruned_loss=0.3259, over 14344.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03672, over 283.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.4832, pruned_loss=0.2888, over 2785947.73 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06625, over 45044.26 utterances.], batch size: 283, lr: 2.48e-03
+2022-09-17 01:34:07,206 INFO [train.py:885] (0/2) Epoch 1, batch 5400, loss[loss=0.1667, simple_loss=0.3031, pruned_loss=0.1521, over 12758.00 frames. utt_duration=1548 frames, utt_pad_proportion=0.1378, over 33.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.4813, pruned_loss=0.2866, over 2780176.07 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06936, over 45043.03 utterances.], batch size: 33, lr: 2.47e-03
+2022-09-17 01:34:36,796 INFO [train.py:885] (0/2) Epoch 1, batch 5450, loss[loss=0.3594, simple_loss=0.6422, pruned_loss=0.3834, over 13197.00 frames. utt_duration=82.4 frames, utt_pad_proportion=0.1043, over 653.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.4813, pruned_loss=0.2855, over 2781558.58 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06799, over 44999.27 utterances.], batch size: 653, lr: 2.47e-03
+2022-09-17 01:35:06,772 INFO [train.py:885] (0/2) Epoch 1, batch 5500, loss[loss=0.2852, simple_loss=0.5104, pruned_loss=0.3002, over 14327.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03812, over 262.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.4825, pruned_loss=0.2865, over 2780122.72 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06895, over 44979.11 utterances.], batch size: 262, lr: 2.46e-03
+2022-09-17 01:35:35,847 INFO [train.py:885] (0/2) Epoch 1, batch 5550, loss[loss=0.2857, simple_loss=0.5085, pruned_loss=0.315, over 14306.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03788, over 180.00 utterances.], tot_loss[loss=0.268, simple_loss=0.4794, pruned_loss=0.2834, over 2777006.20 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06901, over 44244.41 utterances.], batch size: 180, lr: 2.45e-03
+2022-09-17 01:36:05,442 INFO [train.py:885] (0/2) Epoch 1, batch 5600, loss[loss=0.3047, simple_loss=0.5394, pruned_loss=0.3504, over 14327.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03878, over 262.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.4802, pruned_loss=0.2842, over 2782055.73 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06706, over 43711.11 utterances.], batch size: 262, lr: 2.45e-03
+2022-09-17 01:36:34,589 INFO [train.py:885] (0/2) Epoch 1, batch 5650, loss[loss=0.2278, simple_loss=0.4072, pruned_loss=0.2421, over 14143.00 frames. utt_duration=578.5 frames, utt_pad_proportion=0.05007, over 98.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.4775, pruned_loss=0.2811, over 2780548.96 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06741, over 43476.46 utterances.], batch size: 98, lr: 2.44e-03
+2022-09-17 01:37:04,361 INFO [train.py:885] (0/2) Epoch 1, batch 5700, loss[loss=0.1944, simple_loss=0.3521, pruned_loss=0.183, over 13605.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.07712, over 50.00 utterances.], tot_loss[loss=0.268, simple_loss=0.4797, pruned_loss=0.2813, over 2776442.16 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07, over 44966.53 utterances.], batch size: 50, lr: 2.44e-03
+2022-09-17 01:37:34,039 INFO [train.py:885] (0/2) Epoch 1, batch 5750, loss[loss=0.2547, simple_loss=0.457, pruned_loss=0.2626, over 14177.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04282, over 109.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.4799, pruned_loss=0.282, over 2780180.16 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06847, over 44336.52 utterances.], batch size: 109, lr: 2.43e-03
+2022-09-17 01:38:03,032 INFO [train.py:885] (0/2) Epoch 1, batch 5800, loss[loss=0.2844, simple_loss=0.508, pruned_loss=0.3038, over 14318.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03937, over 262.00 utterances.], tot_loss[loss=0.2639, simple_loss=0.4728, pruned_loss=0.2757, over 2778982.87 frames. utt_duration=263.8 frames, utt_pad_proportion=0.06746, over 42376.07 utterances.], batch size: 262, lr: 2.42e-03
+2022-09-17 01:38:32,614 INFO [train.py:885] (0/2) Epoch 1, batch 5850, loss[loss=0.2037, simple_loss=0.3671, pruned_loss=0.2017, over 13410.00 frames. utt_duration=1278 frames, utt_pad_proportion=0.09519, over 42.00 utterances.], tot_loss[loss=0.265, simple_loss=0.4746, pruned_loss=0.2773, over 2778846.18 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06684, over 42903.74 utterances.], batch size: 42, lr: 2.42e-03
+2022-09-17 01:39:01,788 INFO [train.py:885] (0/2) Epoch 1, batch 5900, loss[loss=0.2323, simple_loss=0.4172, pruned_loss=0.2368, over 14164.00 frames. utt_duration=638 frames, utt_pad_proportion=0.04913, over 89.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.4759, pruned_loss=0.2787, over 2777597.36 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06868, over 43503.96 utterances.], batch size: 89, lr: 2.41e-03
+2022-09-17 01:39:31,272 INFO [train.py:885] (0/2) Epoch 1, batch 5950, loss[loss=0.3124, simple_loss=0.5549, pruned_loss=0.3496, over 14334.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03858, over 262.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.4795, pruned_loss=0.2802, over 2779546.21 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06974, over 45113.24 utterances.], batch size: 262, lr: 2.41e-03
+2022-09-17 01:40:01,015 INFO [train.py:885] (0/2) Epoch 1, batch 6000, loss[loss=0.2935, simple_loss=0.2801, pruned_loss=0.1535, over 13448.00 frames. utt_duration=1282 frames, utt_pad_proportion=0.09389, over 42.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.4795, pruned_loss=0.28, over 2778326.54 frames. utt_duration=243.9 frames, utt_pad_proportion=0.0715, over 45846.93 utterances.], batch size: 42, lr: 2.40e-03
+2022-09-17 01:40:01,016 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 01:40:05,157 INFO [train.py:914] (0/2) Epoch 1, validation: loss=0.3558, simple_loss=0.3599, pruned_loss=0.1759, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 01:40:35,219 INFO [train.py:885] (0/2) Epoch 1, batch 6050, loss[loss=0.5552, simple_loss=0.5273, pruned_loss=0.2916, over 14007.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05536, over 365.00 utterances.], tot_loss[loss=0.3367, simple_loss=0.4871, pruned_loss=0.2877, over 2780335.55 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07046, over 47312.09 utterances.], batch size: 365, lr: 2.39e-03
+2022-09-17 01:41:05,122 INFO [train.py:885] (0/2) Epoch 1, batch 6100, loss[loss=0.5913, simple_loss=0.5336, pruned_loss=0.3245, over 14291.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03982, over 225.00 utterances.], tot_loss[loss=0.3715, simple_loss=0.4807, pruned_loss=0.2825, over 2782740.27 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06912, over 45020.65 utterances.], batch size: 225, lr: 2.39e-03
+2022-09-17 01:41:33,946 INFO [train.py:885] (0/2) Epoch 1, batch 6150, loss[loss=0.628, simple_loss=0.5701, pruned_loss=0.343, over 13959.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05817, over 365.00 utterances.], tot_loss[loss=0.4034, simple_loss=0.4804, pruned_loss=0.2809, over 2783212.51 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06812, over 44520.22 utterances.], batch size: 365, lr: 2.38e-03
+2022-09-17 01:42:03,866 INFO [train.py:885] (0/2) Epoch 1, batch 6200, loss[loss=1.031, simple_loss=0.8676, pruned_loss=0.5974, over 12508.00 frames. utt_duration=63.37 frames, utt_pad_proportion=0.1436, over 810.00 utterances.], tot_loss[loss=0.4309, simple_loss=0.4826, pruned_loss=0.2814, over 2777787.46 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07133, over 44964.72 utterances.], batch size: 810, lr: 2.38e-03
+2022-09-17 01:42:33,526 INFO [train.py:885] (0/2) Epoch 1, batch 6250, loss[loss=0.3872, simple_loss=0.3832, pruned_loss=0.1956, over 13869.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.06221, over 69.00 utterances.], tot_loss[loss=0.4586, simple_loss=0.4897, pruned_loss=0.2851, over 2782208.99 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07161, over 46701.63 utterances.], batch size: 69, lr: 2.37e-03
+2022-09-17 01:43:03,226 INFO [train.py:885] (0/2) Epoch 1, batch 6300, loss[loss=0.5426, simple_loss=0.5057, pruned_loss=0.2898, over 14310.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03865, over 195.00 utterances.], tot_loss[loss=0.4684, simple_loss=0.4862, pruned_loss=0.2809, over 2779379.17 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07355, over 46011.23 utterances.], batch size: 195, lr: 2.37e-03
+2022-09-17 01:43:32,552 INFO [train.py:885] (0/2) Epoch 1, batch 6350, loss[loss=0.7167, simple_loss=0.6113, pruned_loss=0.4111, over 14197.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04452, over 306.00 utterances.], tot_loss[loss=0.4803, simple_loss=0.4862, pruned_loss=0.2804, over 2782580.44 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07113, over 46025.27 utterances.], batch size: 306, lr: 2.36e-03
+2022-09-17 01:44:02,386 INFO [train.py:885] (0/2) Epoch 1, batch 6400, loss[loss=0.3451, simple_loss=0.355, pruned_loss=0.1676, over 13718.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.084, over 42.00 utterances.], tot_loss[loss=0.4841, simple_loss=0.4829, pruned_loss=0.2763, over 2782684.10 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06993, over 45385.94 utterances.], batch size: 42, lr: 2.35e-03
+2022-09-17 01:44:31,779 INFO [train.py:885] (0/2) Epoch 1, batch 6450, loss[loss=0.5645, simple_loss=0.5125, pruned_loss=0.3082, over 14325.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04008, over 167.00 utterances.], tot_loss[loss=0.4906, simple_loss=0.4825, pruned_loss=0.2756, over 2784205.58 frames. utt_duration=249 frames, utt_pad_proportion=0.06922, over 44987.55 utterances.], batch size: 167, lr: 2.35e-03
+2022-09-17 01:45:01,102 INFO [train.py:885] (0/2) Epoch 1, batch 6500, loss[loss=0.366, simple_loss=0.3676, pruned_loss=0.1822, over 13879.00 frames. utt_duration=806 frames, utt_pad_proportion=0.06059, over 69.00 utterances.], tot_loss[loss=0.4981, simple_loss=0.4848, pruned_loss=0.276, over 2786918.98 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06885, over 45481.79 utterances.], batch size: 69, lr: 2.34e-03
+2022-09-17 01:45:30,415 INFO [train.py:885] (0/2) Epoch 1, batch 6550, loss[loss=0.3488, simple_loss=0.355, pruned_loss=0.1713, over 12632.00 frames. utt_duration=2023 frames, utt_pad_proportion=0.1558, over 25.00 utterances.], tot_loss[loss=0.4964, simple_loss=0.4809, pruned_loss=0.2718, over 2782078.72 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07005, over 44795.75 utterances.], batch size: 25, lr: 2.34e-03
+2022-09-17 01:46:01,383 INFO [train.py:885] (0/2) Epoch 1, batch 6600, loss[loss=0.4346, simple_loss=0.3922, pruned_loss=0.2385, over 14048.00 frames. utt_duration=712.8 frames, utt_pad_proportion=0.05588, over 79.00 utterances.], tot_loss[loss=0.5049, simple_loss=0.4863, pruned_loss=0.2742, over 2780680.35 frames. utt_duration=239 frames, utt_pad_proportion=0.07172, over 46834.84 utterances.], batch size: 79, lr: 2.33e-03
+2022-09-17 01:46:31,038 INFO [train.py:885] (0/2) Epoch 1, batch 6650, loss[loss=0.5007, simple_loss=0.4765, pruned_loss=0.2625, over 14335.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03724, over 210.00 utterances.], tot_loss[loss=0.5018, simple_loss=0.4817, pruned_loss=0.2706, over 2787364.88 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0689, over 45028.99 utterances.], batch size: 210, lr: 2.33e-03
+2022-09-17 01:47:00,610 INFO [train.py:885] (0/2) Epoch 1, batch 6700, loss[loss=0.428, simple_loss=0.4329, pruned_loss=0.2116, over 14277.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04285, over 154.00 utterances.], tot_loss[loss=0.5111, simple_loss=0.4882, pruned_loss=0.2745, over 2786974.63 frames. utt_duration=236 frames, utt_pad_proportion=0.07141, over 47527.00 utterances.], batch size: 154, lr: 2.32e-03
+2022-09-17 01:47:29,825 INFO [train.py:885] (0/2) Epoch 1, batch 6750, loss[loss=0.9002, simple_loss=0.7944, pruned_loss=0.503, over 12437.00 frames. utt_duration=62.93 frames, utt_pad_proportion=0.1496, over 810.00 utterances.], tot_loss[loss=0.5122, simple_loss=0.4887, pruned_loss=0.2736, over 2785311.29 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07285, over 47927.03 utterances.], batch size: 810, lr: 2.31e-03
+2022-09-17 01:47:59,546 INFO [train.py:885] (0/2) Epoch 1, batch 6800, loss[loss=0.5407, simple_loss=0.5114, pruned_loss=0.285, over 14252.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.0419, over 180.00 utterances.], tot_loss[loss=0.5092, simple_loss=0.4859, pruned_loss=0.2708, over 2784596.44 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07238, over 47166.67 utterances.], batch size: 180, lr: 2.31e-03
+2022-09-17 01:48:28,789 INFO [train.py:885] (0/2) Epoch 1, batch 6850, loss[loss=0.3033, simple_loss=0.3164, pruned_loss=0.145, over 12148.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.1618, over 24.00 utterances.], tot_loss[loss=0.5077, simple_loss=0.4836, pruned_loss=0.2694, over 2782292.20 frames. utt_duration=241.9 frames, utt_pad_proportion=0.0718, over 46299.08 utterances.], batch size: 24, lr: 2.30e-03
+2022-09-17 01:48:58,542 INFO [train.py:885] (0/2) Epoch 1, batch 6900, loss[loss=0.4505, simple_loss=0.446, pruned_loss=0.2275, over 14266.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04411, over 141.00 utterances.], tot_loss[loss=0.5098, simple_loss=0.4853, pruned_loss=0.2699, over 2784096.86 frames. utt_duration=240 frames, utt_pad_proportion=0.07204, over 46696.04 utterances.], batch size: 141, lr: 2.30e-03
+2022-09-17 01:49:27,724 INFO [train.py:885] (0/2) Epoch 1, batch 6950, loss[loss=0.6091, simple_loss=0.5433, pruned_loss=0.3374, over 14343.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03916, over 167.00 utterances.], tot_loss[loss=0.5029, simple_loss=0.4802, pruned_loss=0.2649, over 2777983.56 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07193, over 45918.86 utterances.], batch size: 167, lr: 2.29e-03
+2022-09-17 01:49:57,205 INFO [train.py:885] (0/2) Epoch 1, batch 7000, loss[loss=0.6312, simple_loss=0.5706, pruned_loss=0.3459, over 14245.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04208, over 306.00 utterances.], tot_loss[loss=0.5064, simple_loss=0.4826, pruned_loss=0.2667, over 2781638.98 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07083, over 46293.52 utterances.], batch size: 306, lr: 2.29e-03
+2022-09-17 01:50:27,465 INFO [train.py:885] (0/2) Epoch 1, batch 7050, loss[loss=0.5831, simple_loss=0.5365, pruned_loss=0.3148, over 14267.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04144, over 225.00 utterances.], tot_loss[loss=0.512, simple_loss=0.487, pruned_loss=0.2698, over 2781171.72 frames. utt_duration=233.3 frames, utt_pad_proportion=0.0719, over 47993.03 utterances.], batch size: 225, lr: 2.28e-03
+2022-09-17 01:50:57,121 INFO [train.py:885] (0/2) Epoch 1, batch 7100, loss[loss=0.3693, simple_loss=0.3637, pruned_loss=0.1874, over 13852.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.06339, over 69.00 utterances.], tot_loss[loss=0.5074, simple_loss=0.484, pruned_loss=0.2665, over 2780056.34 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07242, over 47606.60 utterances.], batch size: 69, lr: 2.28e-03
+2022-09-17 01:51:26,727 INFO [train.py:885] (0/2) Epoch 1, batch 7150, loss[loss=0.4618, simple_loss=0.459, pruned_loss=0.2323, over 14255.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04519, over 141.00 utterances.], tot_loss[loss=0.5065, simple_loss=0.4839, pruned_loss=0.2653, over 2781095.08 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07265, over 48022.25 utterances.], batch size: 141, lr: 2.27e-03
+2022-09-17 01:51:56,048 INFO [train.py:885] (0/2) Epoch 1, batch 7200, loss[loss=0.4829, simple_loss=0.4766, pruned_loss=0.2446, over 14278.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04032, over 225.00 utterances.], tot_loss[loss=0.5055, simple_loss=0.4828, pruned_loss=0.2647, over 2780716.53 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07104, over 47097.24 utterances.], batch size: 225, lr: 2.27e-03
+2022-09-17 01:52:25,598 INFO [train.py:885] (0/2) Epoch 1, batch 7250, loss[loss=0.9066, simple_loss=0.8102, pruned_loss=0.5015, over 12495.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 810.00 utterances.], tot_loss[loss=0.5083, simple_loss=0.4853, pruned_loss=0.2661, over 2779769.50 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07307, over 47751.53 utterances.], batch size: 810, lr: 2.26e-03
+2022-09-17 01:52:55,211 INFO [train.py:885] (0/2) Epoch 1, batch 7300, loss[loss=0.5871, simple_loss=0.5342, pruned_loss=0.32, over 14194.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.045, over 306.00 utterances.], tot_loss[loss=0.5077, simple_loss=0.4847, pruned_loss=0.2657, over 2781229.94 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07263, over 47578.41 utterances.], batch size: 306, lr: 2.26e-03
+2022-09-17 01:53:24,276 INFO [train.py:885] (0/2) Epoch 1, batch 7350, loss[loss=0.5927, simple_loss=0.5376, pruned_loss=0.3239, over 14238.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.04306, over 225.00 utterances.], tot_loss[loss=0.505, simple_loss=0.4826, pruned_loss=0.264, over 2785119.41 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07007, over 46228.75 utterances.], batch size: 225, lr: 2.25e-03
+2022-09-17 01:53:54,082 INFO [train.py:885] (0/2) Epoch 1, batch 7400, loss[loss=0.5816, simple_loss=0.5345, pruned_loss=0.3144, over 14342.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03749, over 283.00 utterances.], tot_loss[loss=0.5077, simple_loss=0.4852, pruned_loss=0.2653, over 2782978.69 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07078, over 47157.38 utterances.], batch size: 283, lr: 2.24e-03
+2022-09-17 01:54:23,376 INFO [train.py:885] (0/2) Epoch 1, batch 7450, loss[loss=0.54, simple_loss=0.5111, pruned_loss=0.2844, over 14320.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03814, over 226.00 utterances.], tot_loss[loss=0.5111, simple_loss=0.4883, pruned_loss=0.2671, over 2782702.46 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07125, over 48204.27 utterances.], batch size: 226, lr: 2.24e-03
+2022-09-17 01:54:52,627 INFO [train.py:885] (0/2) Epoch 1, batch 7500, loss[loss=0.5003, simple_loss=0.4665, pruned_loss=0.2671, over 14017.00 frames. utt_duration=711 frames, utt_pad_proportion=0.05826, over 79.00 utterances.], tot_loss[loss=0.5083, simple_loss=0.486, pruned_loss=0.2655, over 2785834.53 frames. utt_duration=239 frames, utt_pad_proportion=0.06929, over 46919.13 utterances.], batch size: 79, lr: 2.23e-03
+2022-09-17 01:55:22,173 INFO [train.py:885] (0/2) Epoch 1, batch 7550, loss[loss=0.2895, simple_loss=0.2999, pruned_loss=0.1395, over 13297.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.09305, over 41.00 utterances.], tot_loss[loss=0.5041, simple_loss=0.4831, pruned_loss=0.2627, over 2781552.88 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07233, over 46706.47 utterances.], batch size: 41, lr: 2.23e-03
+2022-09-17 01:55:52,346 INFO [train.py:885] (0/2) Epoch 1, batch 7600, loss[loss=0.656, simple_loss=0.5771, pruned_loss=0.3674, over 14279.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04037, over 335.00 utterances.], tot_loss[loss=0.5009, simple_loss=0.4805, pruned_loss=0.2607, over 2780927.63 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07235, over 45877.55 utterances.], batch size: 335, lr: 2.22e-03
+2022-09-17 01:56:22,061 INFO [train.py:885] (0/2) Epoch 1, batch 7650, loss[loss=0.492, simple_loss=0.4864, pruned_loss=0.2487, over 14251.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.0418, over 180.00 utterances.], tot_loss[loss=0.5009, simple_loss=0.4804, pruned_loss=0.2608, over 2778037.42 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07361, over 45975.91 utterances.], batch size: 180, lr: 2.22e-03
+2022-09-17 01:56:51,164 INFO [train.py:885] (0/2) Epoch 1, batch 7700, loss[loss=0.5245, simple_loss=0.5379, pruned_loss=0.2556, over 13616.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08193, over 477.00 utterances.], tot_loss[loss=0.4977, simple_loss=0.4777, pruned_loss=0.2589, over 2783049.51 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07189, over 44963.11 utterances.], batch size: 477, lr: 2.21e-03
+2022-09-17 01:57:21,009 INFO [train.py:885] (0/2) Epoch 1, batch 7750, loss[loss=0.332, simple_loss=0.3528, pruned_loss=0.1557, over 13851.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06362, over 69.00 utterances.], tot_loss[loss=0.496, simple_loss=0.4769, pruned_loss=0.2576, over 2782604.31 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07114, over 44934.06 utterances.], batch size: 69, lr: 2.21e-03
+2022-09-17 01:57:50,505 INFO [train.py:885] (0/2) Epoch 1, batch 7800, loss[loss=0.6371, simple_loss=0.6184, pruned_loss=0.3279, over 13171.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.4943, simple_loss=0.4757, pruned_loss=0.2564, over 2784526.14 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07013, over 44447.04 utterances.], batch size: 653, lr: 2.20e-03
+2022-09-17 01:58:19,091 INFO [train.py:885] (0/2) Epoch 1, batch 7850, loss[loss=0.3216, simple_loss=0.3407, pruned_loss=0.1512, over 13695.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07409, over 50.00 utterances.], tot_loss[loss=0.4907, simple_loss=0.473, pruned_loss=0.2542, over 2786784.14 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06771, over 43003.05 utterances.], batch size: 50, lr: 2.20e-03
+2022-09-17 01:58:49,051 INFO [train.py:885] (0/2) Epoch 1, batch 7900, loss[loss=0.5077, simple_loss=0.4887, pruned_loss=0.2634, over 14233.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.04324, over 225.00 utterances.], tot_loss[loss=0.4882, simple_loss=0.4708, pruned_loss=0.2528, over 2786877.14 frames. utt_duration=264.2 frames, utt_pad_proportion=0.06742, over 42429.10 utterances.], batch size: 225, lr: 2.19e-03
+2022-09-17 01:59:19,124 INFO [train.py:885] (0/2) Epoch 1, batch 7950, loss[loss=0.3661, simple_loss=0.3784, pruned_loss=0.1769, over 14112.00 frames. utt_duration=715.9 frames, utt_pad_proportion=0.05424, over 79.00 utterances.], tot_loss[loss=0.4975, simple_loss=0.4787, pruned_loss=0.2582, over 2789934.63 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06899, over 44800.33 utterances.], batch size: 79, lr: 2.19e-03
+2022-09-17 01:59:47,547 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-8000.pt
+2022-09-17 01:59:49,035 INFO [train.py:885] (0/2) Epoch 1, batch 8000, loss[loss=0.4718, simple_loss=0.4593, pruned_loss=0.2421, over 14307.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03809, over 180.00 utterances.], tot_loss[loss=0.4944, simple_loss=0.4768, pruned_loss=0.256, over 2791313.15 frames. utt_duration=254.4 frames, utt_pad_proportion=0.0679, over 44140.23 utterances.], batch size: 180, lr: 2.18e-03
+2022-09-17 02:00:18,274 INFO [train.py:885] (0/2) Epoch 1, batch 8050, loss[loss=0.5202, simple_loss=0.489, pruned_loss=0.2757, over 14365.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03801, over 167.00 utterances.], tot_loss[loss=0.4932, simple_loss=0.4764, pruned_loss=0.255, over 2791319.57 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06681, over 44069.01 utterances.], batch size: 167, lr: 2.18e-03
+2022-09-17 02:00:48,304 INFO [train.py:885] (0/2) Epoch 1, batch 8100, loss[loss=0.4888, simple_loss=0.4811, pruned_loss=0.2482, over 14328.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03883, over 262.00 utterances.], tot_loss[loss=0.495, simple_loss=0.4775, pruned_loss=0.2562, over 2791603.64 frames. utt_duration=250 frames, utt_pad_proportion=0.06761, over 44934.37 utterances.], batch size: 262, lr: 2.17e-03
+2022-09-17 02:01:17,461 INFO [train.py:885] (0/2) Epoch 1, batch 8150, loss[loss=0.3344, simple_loss=0.3541, pruned_loss=0.1573, over 14150.00 frames. utt_duration=637.5 frames, utt_pad_proportion=0.04997, over 89.00 utterances.], tot_loss[loss=0.4919, simple_loss=0.4753, pruned_loss=0.2542, over 2789605.47 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06914, over 44692.75 utterances.], batch size: 89, lr: 2.17e-03
+2022-09-17 02:01:47,574 INFO [train.py:885] (0/2) Epoch 1, batch 8200, loss[loss=0.3827, simple_loss=0.3864, pruned_loss=0.1895, over 13957.00 frames. utt_duration=708.1 frames, utt_pad_proportion=0.06336, over 79.00 utterances.], tot_loss[loss=0.4975, simple_loss=0.4806, pruned_loss=0.2573, over 2783940.85 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07212, over 46780.42 utterances.], batch size: 79, lr: 2.16e-03
+2022-09-17 02:02:17,336 INFO [train.py:885] (0/2) Epoch 1, batch 8250, loss[loss=0.5116, simple_loss=0.4814, pruned_loss=0.2709, over 14244.00 frames. utt_duration=519.4 frames, utt_pad_proportion=0.04689, over 110.00 utterances.], tot_loss[loss=0.4984, simple_loss=0.4814, pruned_loss=0.2577, over 2784940.38 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07112, over 46582.55 utterances.], batch size: 110, lr: 2.16e-03
+2022-09-17 02:02:46,168 INFO [train.py:885] (0/2) Epoch 1, batch 8300, loss[loss=0.4067, simple_loss=0.3974, pruned_loss=0.208, over 14198.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.0467, over 89.00 utterances.], tot_loss[loss=0.4916, simple_loss=0.4759, pruned_loss=0.2537, over 2789115.60 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06926, over 44325.24 utterances.], batch size: 89, lr: 2.15e-03
+2022-09-17 02:03:16,219 INFO [train.py:885] (0/2) Epoch 1, batch 8350, loss[loss=0.6355, simple_loss=0.6201, pruned_loss=0.3254, over 13113.00 frames. utt_duration=81.82 frames, utt_pad_proportion=0.1106, over 653.00 utterances.], tot_loss[loss=0.4966, simple_loss=0.4796, pruned_loss=0.2568, over 2785230.94 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07159, over 46159.39 utterances.], batch size: 653, lr: 2.15e-03
+2022-09-17 02:03:45,643 INFO [train.py:885] (0/2) Epoch 1, batch 8400, loss[loss=0.357, simple_loss=0.3468, pruned_loss=0.1836, over 13963.00 frames. utt_duration=810.9 frames, utt_pad_proportion=0.05595, over 69.00 utterances.], tot_loss[loss=0.4956, simple_loss=0.479, pruned_loss=0.2561, over 2788806.78 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06999, over 45882.78 utterances.], batch size: 69, lr: 2.15e-03
+2022-09-17 02:04:15,771 INFO [train.py:885] (0/2) Epoch 1, batch 8450, loss[loss=0.5472, simple_loss=0.5195, pruned_loss=0.2874, over 14325.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03832, over 283.00 utterances.], tot_loss[loss=0.4935, simple_loss=0.4784, pruned_loss=0.2543, over 2783761.97 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07353, over 46985.35 utterances.], batch size: 283, lr: 2.14e-03
+2022-09-17 02:04:45,374 INFO [train.py:885] (0/2) Epoch 1, batch 8500, loss[loss=0.5135, simple_loss=0.4988, pruned_loss=0.264, over 14320.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03774, over 226.00 utterances.], tot_loss[loss=0.4932, simple_loss=0.4786, pruned_loss=0.2539, over 2784113.91 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07302, over 47305.42 utterances.], batch size: 226, lr: 2.14e-03
+2022-09-17 02:05:13,853 INFO [train.py:885] (0/2) Epoch 1, batch 8550, loss[loss=0.539, simple_loss=0.5179, pruned_loss=0.2801, over 14327.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.037, over 180.00 utterances.], tot_loss[loss=0.4843, simple_loss=0.4719, pruned_loss=0.2483, over 2788007.34 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06913, over 44729.79 utterances.], batch size: 180, lr: 2.13e-03
+2022-09-17 02:05:44,500 INFO [train.py:885] (0/2) Epoch 1, batch 8600, loss[loss=0.2402, simple_loss=0.2628, pruned_loss=0.1088, over 12377.00 frames. utt_duration=2064 frames, utt_pad_proportion=0.1477, over 24.00 utterances.], tot_loss[loss=0.4878, simple_loss=0.4748, pruned_loss=0.2504, over 2785550.91 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06917, over 45954.81 utterances.], batch size: 24, lr: 2.13e-03
+2022-09-17 02:06:14,259 INFO [train.py:885] (0/2) Epoch 1, batch 8650, loss[loss=0.3063, simple_loss=0.3076, pruned_loss=0.1525, over 13921.00 frames. utt_duration=929.3 frames, utt_pad_proportion=0.06511, over 60.00 utterances.], tot_loss[loss=0.4864, simple_loss=0.4745, pruned_loss=0.2492, over 2783637.09 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07103, over 46632.36 utterances.], batch size: 60, lr: 2.12e-03
+2022-09-17 02:06:43,452 INFO [train.py:885] (0/2) Epoch 1, batch 8700, loss[loss=0.4353, simple_loss=0.439, pruned_loss=0.2158, over 14314.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03877, over 120.00 utterances.], tot_loss[loss=0.4854, simple_loss=0.4737, pruned_loss=0.2486, over 2784619.29 frames. utt_duration=242 frames, utt_pad_proportion=0.0715, over 46313.77 utterances.], batch size: 120, lr: 2.12e-03
+2022-09-17 02:07:12,936 INFO [train.py:885] (0/2) Epoch 1, batch 8750, loss[loss=0.3379, simple_loss=0.3694, pruned_loss=0.1532, over 13866.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.06159, over 69.00 utterances.], tot_loss[loss=0.4809, simple_loss=0.4701, pruned_loss=0.2458, over 2781947.89 frames. utt_duration=246 frames, utt_pad_proportion=0.07146, over 45512.57 utterances.], batch size: 69, lr: 2.11e-03
+2022-09-17 02:07:42,427 INFO [train.py:885] (0/2) Epoch 1, batch 8800, loss[loss=0.6951, simple_loss=0.6064, pruned_loss=0.3919, over 14250.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04167, over 335.00 utterances.], tot_loss[loss=0.4884, simple_loss=0.4764, pruned_loss=0.2502, over 2776544.26 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07463, over 47995.66 utterances.], batch size: 335, lr: 2.11e-03
+2022-09-17 02:08:11,819 INFO [train.py:885] (0/2) Epoch 1, batch 8850, loss[loss=0.4503, simple_loss=0.457, pruned_loss=0.2219, over 14291.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.0437, over 110.00 utterances.], tot_loss[loss=0.489, simple_loss=0.4771, pruned_loss=0.2505, over 2776950.99 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07432, over 48215.89 utterances.], batch size: 110, lr: 2.10e-03
+2022-09-17 02:08:41,547 INFO [train.py:885] (0/2) Epoch 1, batch 8900, loss[loss=0.4879, simple_loss=0.4761, pruned_loss=0.2498, over 14356.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03831, over 167.00 utterances.], tot_loss[loss=0.4841, simple_loss=0.4731, pruned_loss=0.2475, over 2776730.50 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07416, over 47259.82 utterances.], batch size: 167, lr: 2.10e-03
+2022-09-17 02:09:11,127 INFO [train.py:885] (0/2) Epoch 1, batch 8950, loss[loss=0.3335, simple_loss=0.3551, pruned_loss=0.1559, over 13891.00 frames. utt_duration=927.5 frames, utt_pad_proportion=0.06692, over 60.00 utterances.], tot_loss[loss=0.4792, simple_loss=0.4693, pruned_loss=0.2446, over 2777639.58 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07165, over 45852.25 utterances.], batch size: 60, lr: 2.10e-03
+2022-09-17 02:09:40,635 INFO [train.py:885] (0/2) Epoch 1, batch 9000, loss[loss=0.2829, simple_loss=0.3057, pruned_loss=0.1301, over 13222.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.1117, over 33.00 utterances.], tot_loss[loss=0.4834, simple_loss=0.4731, pruned_loss=0.2468, over 2773699.11 frames. utt_duration=236 frames, utt_pad_proportion=0.07397, over 47317.90 utterances.], batch size: 33, lr: 2.09e-03
+2022-09-17 02:09:40,637 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 02:09:45,338 INFO [train.py:914] (0/2) Epoch 1, validation: loss=0.3176, simple_loss=0.3557, pruned_loss=0.1398, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 02:10:14,818 INFO [train.py:885] (0/2) Epoch 1, batch 9050, loss[loss=0.4359, simple_loss=0.4447, pruned_loss=0.2136, over 14227.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04456, over 141.00 utterances.], tot_loss[loss=0.4799, simple_loss=0.4703, pruned_loss=0.2447, over 2777439.95 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07184, over 46447.33 utterances.], batch size: 141, lr: 2.09e-03
+2022-09-17 02:10:44,278 INFO [train.py:885] (0/2) Epoch 1, batch 9100, loss[loss=0.4629, simple_loss=0.4557, pruned_loss=0.235, over 14292.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.04255, over 141.00 utterances.], tot_loss[loss=0.4799, simple_loss=0.4708, pruned_loss=0.2444, over 2775963.01 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07265, over 47197.84 utterances.], batch size: 141, lr: 2.08e-03
+2022-09-17 02:11:14,130 INFO [train.py:885] (0/2) Epoch 1, batch 9150, loss[loss=0.5968, simple_loss=0.5808, pruned_loss=0.3064, over 13671.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.0778, over 477.00 utterances.], tot_loss[loss=0.483, simple_loss=0.4737, pruned_loss=0.2462, over 2774971.49 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07443, over 47424.92 utterances.], batch size: 477, lr: 2.08e-03
+2022-09-17 02:11:43,034 INFO [train.py:885] (0/2) Epoch 1, batch 9200, loss[loss=0.4098, simple_loss=0.4223, pruned_loss=0.1986, over 14170.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04507, over 109.00 utterances.], tot_loss[loss=0.4795, simple_loss=0.4701, pruned_loss=0.2445, over 2775088.65 frames. utt_duration=243 frames, utt_pad_proportion=0.07396, over 45963.94 utterances.], batch size: 109, lr: 2.07e-03
+2022-09-17 02:12:12,376 INFO [train.py:885] (0/2) Epoch 1, batch 9250, loss[loss=0.6111, simple_loss=0.5873, pruned_loss=0.3175, over 13773.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07143, over 411.00 utterances.], tot_loss[loss=0.4803, simple_loss=0.4711, pruned_loss=0.2447, over 2778637.90 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07432, over 45685.17 utterances.], batch size: 411, lr: 2.07e-03
+2022-09-17 02:12:41,889 INFO [train.py:885] (0/2) Epoch 1, batch 9300, loss[loss=0.2877, simple_loss=0.2963, pruned_loss=0.1396, over 12891.00 frames. utt_duration=2064 frames, utt_pad_proportion=0.125, over 25.00 utterances.], tot_loss[loss=0.4829, simple_loss=0.4733, pruned_loss=0.2463, over 2781746.50 frames. utt_duration=243 frames, utt_pad_proportion=0.07222, over 46074.22 utterances.], batch size: 25, lr: 2.06e-03
+2022-09-17 02:13:11,460 INFO [train.py:885] (0/2) Epoch 1, batch 9350, loss[loss=0.3875, simple_loss=0.4023, pruned_loss=0.1863, over 14179.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04422, over 109.00 utterances.], tot_loss[loss=0.4829, simple_loss=0.4738, pruned_loss=0.246, over 2776955.08 frames. utt_duration=236 frames, utt_pad_proportion=0.07398, over 47364.87 utterances.], batch size: 109, lr: 2.06e-03
+2022-09-17 02:13:41,654 INFO [train.py:885] (0/2) Epoch 1, batch 9400, loss[loss=0.5624, simple_loss=0.5338, pruned_loss=0.2955, over 14245.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04191, over 335.00 utterances.], tot_loss[loss=0.4874, simple_loss=0.478, pruned_loss=0.2484, over 2779856.45 frames. utt_duration=229.5 frames, utt_pad_proportion=0.07505, over 48767.74 utterances.], batch size: 335, lr: 2.06e-03
+2022-09-17 02:14:11,243 INFO [train.py:885] (0/2) Epoch 1, batch 9450, loss[loss=0.5085, simple_loss=0.4878, pruned_loss=0.2646, over 14321.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04085, over 167.00 utterances.], tot_loss[loss=0.4851, simple_loss=0.4764, pruned_loss=0.2469, over 2779676.73 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07414, over 48394.39 utterances.], batch size: 167, lr: 2.05e-03
+2022-09-17 02:14:40,815 INFO [train.py:885] (0/2) Epoch 1, batch 9500, loss[loss=0.4268, simple_loss=0.447, pruned_loss=0.2033, over 14303.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.03848, over 154.00 utterances.], tot_loss[loss=0.4787, simple_loss=0.4715, pruned_loss=0.243, over 2781933.00 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07142, over 46626.49 utterances.], batch size: 154, lr: 2.05e-03
+2022-09-17 02:15:10,299 INFO [train.py:885] (0/2) Epoch 1, batch 9550, loss[loss=0.5267, simple_loss=0.5059, pruned_loss=0.2738, over 14274.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04093, over 226.00 utterances.], tot_loss[loss=0.4822, simple_loss=0.4737, pruned_loss=0.2454, over 2779731.25 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07197, over 46948.79 utterances.], batch size: 226, lr: 2.04e-03
+2022-09-17 02:15:39,798 INFO [train.py:885] (0/2) Epoch 1, batch 9600, loss[loss=0.3268, simple_loss=0.3622, pruned_loss=0.1457, over 13977.00 frames. utt_duration=709 frames, utt_pad_proportion=0.06094, over 79.00 utterances.], tot_loss[loss=0.4804, simple_loss=0.4724, pruned_loss=0.2442, over 2778193.80 frames. utt_duration=236.3 frames, utt_pad_proportion=0.0718, over 47328.23 utterances.], batch size: 79, lr: 2.04e-03
+2022-09-17 02:16:08,869 INFO [train.py:885] (0/2) Epoch 1, batch 9650, loss[loss=0.5045, simple_loss=0.497, pruned_loss=0.256, over 14383.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03187, over 244.00 utterances.], tot_loss[loss=0.4828, simple_loss=0.4746, pruned_loss=0.2455, over 2775587.00 frames. utt_duration=230.1 frames, utt_pad_proportion=0.07367, over 48571.60 utterances.], batch size: 244, lr: 2.03e-03
+2022-09-17 02:16:38,683 INFO [train.py:885] (0/2) Epoch 1, batch 9700, loss[loss=0.4928, simple_loss=0.4894, pruned_loss=0.2481, over 14358.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03699, over 244.00 utterances.], tot_loss[loss=0.4865, simple_loss=0.477, pruned_loss=0.248, over 2776988.30 frames. utt_duration=229.5 frames, utt_pad_proportion=0.07473, over 48717.33 utterances.], batch size: 244, lr: 2.03e-03
+2022-09-17 02:17:07,829 INFO [train.py:885] (0/2) Epoch 1, batch 9750, loss[loss=0.5601, simple_loss=0.523, pruned_loss=0.2986, over 14376.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03454, over 210.00 utterances.], tot_loss[loss=0.478, simple_loss=0.47, pruned_loss=0.243, over 2777061.10 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07266, over 46435.67 utterances.], batch size: 210, lr: 2.03e-03
+2022-09-17 02:17:37,455 INFO [train.py:885] (0/2) Epoch 1, batch 9800, loss[loss=0.3853, simple_loss=0.3947, pruned_loss=0.1879, over 14083.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05529, over 98.00 utterances.], tot_loss[loss=0.4791, simple_loss=0.4716, pruned_loss=0.2433, over 2784222.78 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07148, over 46652.28 utterances.], batch size: 98, lr: 2.02e-03
+2022-09-17 02:18:06,630 INFO [train.py:885] (0/2) Epoch 1, batch 9850, loss[loss=0.3804, simple_loss=0.393, pruned_loss=0.1839, over 14281.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03967, over 130.00 utterances.], tot_loss[loss=0.4753, simple_loss=0.469, pruned_loss=0.2408, over 2784620.82 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07112, over 45427.79 utterances.], batch size: 130, lr: 2.02e-03
+2022-09-17 02:18:36,569 INFO [train.py:885] (0/2) Epoch 1, batch 9900, loss[loss=0.3724, simple_loss=0.3968, pruned_loss=0.174, over 14206.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04263, over 109.00 utterances.], tot_loss[loss=0.4747, simple_loss=0.4686, pruned_loss=0.2404, over 2785031.96 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07104, over 45307.87 utterances.], batch size: 109, lr: 2.01e-03
+2022-09-17 02:19:05,763 INFO [train.py:885] (0/2) Epoch 1, batch 9950, loss[loss=0.5222, simple_loss=0.501, pruned_loss=0.2716, over 14342.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03805, over 244.00 utterances.], tot_loss[loss=0.4801, simple_loss=0.4725, pruned_loss=0.2438, over 2785729.11 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07069, over 46107.95 utterances.], batch size: 244, lr: 2.01e-03
+2022-09-17 02:19:35,589 INFO [train.py:885] (0/2) Epoch 1, batch 10000, loss[loss=0.5401, simple_loss=0.5109, pruned_loss=0.2846, over 14179.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04558, over 306.00 utterances.], tot_loss[loss=0.4813, simple_loss=0.4738, pruned_loss=0.2444, over 2787888.07 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07118, over 46430.17 utterances.], batch size: 306, lr: 2.01e-03
+2022-09-17 02:20:05,243 INFO [train.py:885] (0/2) Epoch 1, batch 10050, loss[loss=0.3761, simple_loss=0.3785, pruned_loss=0.1868, over 13799.00 frames. utt_duration=801.4 frames, utt_pad_proportion=0.06591, over 69.00 utterances.], tot_loss[loss=0.4815, simple_loss=0.4736, pruned_loss=0.2447, over 2789598.42 frames. utt_duration=246 frames, utt_pad_proportion=0.0699, over 45625.29 utterances.], batch size: 69, lr: 2.00e-03
+2022-09-17 02:20:35,247 INFO [train.py:885] (0/2) Epoch 1, batch 10100, loss[loss=0.3271, simple_loss=0.3341, pruned_loss=0.16, over 13424.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.0845, over 41.00 utterances.], tot_loss[loss=0.481, simple_loss=0.4735, pruned_loss=0.2443, over 2789372.25 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07034, over 45703.29 utterances.], batch size: 41, lr: 2.00e-03
+2022-09-17 02:21:04,896 INFO [train.py:885] (0/2) Epoch 1, batch 10150, loss[loss=0.2615, simple_loss=0.2783, pruned_loss=0.1223, over 13340.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.106, over 33.00 utterances.], tot_loss[loss=0.4841, simple_loss=0.4752, pruned_loss=0.2465, over 2786362.49 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07127, over 46038.08 utterances.], batch size: 33, lr: 1.99e-03
+2022-09-17 02:21:34,584 INFO [train.py:885] (0/2) Epoch 1, batch 10200, loss[loss=0.4801, simple_loss=0.4802, pruned_loss=0.24, over 14316.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03928, over 262.00 utterances.], tot_loss[loss=0.4773, simple_loss=0.4698, pruned_loss=0.2424, over 2784662.93 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07036, over 44863.53 utterances.], batch size: 262, lr: 1.99e-03
+2022-09-17 02:22:03,896 INFO [train.py:885] (0/2) Epoch 1, batch 10250, loss[loss=0.4957, simple_loss=0.4723, pruned_loss=0.2595, over 14252.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.04109, over 130.00 utterances.], tot_loss[loss=0.4741, simple_loss=0.4679, pruned_loss=0.2401, over 2788726.32 frames. utt_duration=252.7 frames, utt_pad_proportion=0.0683, over 44392.57 utterances.], batch size: 130, lr: 1.99e-03
+2022-09-17 02:22:32,845 INFO [train.py:885] (0/2) Epoch 1, batch 10300, loss[loss=0.3092, simple_loss=0.3415, pruned_loss=0.1385, over 13964.00 frames. utt_duration=811 frames, utt_pad_proportion=0.05703, over 69.00 utterances.], tot_loss[loss=0.4748, simple_loss=0.4695, pruned_loss=0.2401, over 2788280.48 frames. utt_duration=245.3 frames, utt_pad_proportion=0.0693, over 45736.49 utterances.], batch size: 69, lr: 1.98e-03
+2022-09-17 02:23:03,339 INFO [train.py:885] (0/2) Epoch 1, batch 10350, loss[loss=0.4659, simple_loss=0.4775, pruned_loss=0.2271, over 14366.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03317, over 244.00 utterances.], tot_loss[loss=0.4768, simple_loss=0.4716, pruned_loss=0.241, over 2781781.52 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07271, over 47086.65 utterances.], batch size: 244, lr: 1.98e-03
+2022-09-17 02:23:32,425 INFO [train.py:885] (0/2) Epoch 1, batch 10400, loss[loss=0.4961, simple_loss=0.4825, pruned_loss=0.2548, over 14236.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04215, over 306.00 utterances.], tot_loss[loss=0.4738, simple_loss=0.4692, pruned_loss=0.2392, over 2781373.63 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07305, over 46672.73 utterances.], batch size: 306, lr: 1.97e-03
+2022-09-17 02:24:02,249 INFO [train.py:885] (0/2) Epoch 1, batch 10450, loss[loss=0.49, simple_loss=0.4911, pruned_loss=0.2445, over 14269.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04048, over 180.00 utterances.], tot_loss[loss=0.4674, simple_loss=0.4646, pruned_loss=0.2351, over 2780563.68 frames. utt_duration=244 frames, utt_pad_proportion=0.07205, over 45855.71 utterances.], batch size: 180, lr: 1.97e-03
+2022-09-17 02:24:31,651 INFO [train.py:885] (0/2) Epoch 1, batch 10500, loss[loss=0.4665, simple_loss=0.46, pruned_loss=0.2365, over 14289.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03919, over 180.00 utterances.], tot_loss[loss=0.4628, simple_loss=0.461, pruned_loss=0.2323, over 2783202.48 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07136, over 45043.03 utterances.], batch size: 180, lr: 1.97e-03
+2022-09-17 02:25:01,186 INFO [train.py:885] (0/2) Epoch 1, batch 10550, loss[loss=0.3323, simple_loss=0.3518, pruned_loss=0.1564, over 13994.00 frames. utt_duration=710.1 frames, utt_pad_proportion=0.0595, over 79.00 utterances.], tot_loss[loss=0.4652, simple_loss=0.4624, pruned_loss=0.234, over 2779382.31 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07452, over 45190.08 utterances.], batch size: 79, lr: 1.96e-03
+2022-09-17 02:25:31,232 INFO [train.py:885] (0/2) Epoch 1, batch 10600, loss[loss=0.6058, simple_loss=0.6076, pruned_loss=0.302, over 13164.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.4659, simple_loss=0.4633, pruned_loss=0.2342, over 2781348.70 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07266, over 45597.25 utterances.], batch size: 653, lr: 1.96e-03
+2022-09-17 02:26:00,063 INFO [train.py:885] (0/2) Epoch 1, batch 10650, loss[loss=0.3394, simple_loss=0.3635, pruned_loss=0.1577, over 11959.00 frames. utt_duration=1995 frames, utt_pad_proportion=0.1855, over 24.00 utterances.], tot_loss[loss=0.4585, simple_loss=0.4576, pruned_loss=0.2297, over 2780392.20 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06998, over 43445.99 utterances.], batch size: 24, lr: 1.96e-03
+2022-09-17 02:26:29,729 INFO [train.py:885] (0/2) Epoch 1, batch 10700, loss[loss=0.4994, simple_loss=0.5164, pruned_loss=0.2412, over 13771.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07199, over 411.00 utterances.], tot_loss[loss=0.4602, simple_loss=0.4586, pruned_loss=0.2308, over 2782656.28 frames. utt_duration=259 frames, utt_pad_proportion=0.06899, over 43213.04 utterances.], batch size: 411, lr: 1.95e-03
+2022-09-17 02:26:59,391 INFO [train.py:885] (0/2) Epoch 1, batch 10750, loss[loss=0.4994, simple_loss=0.4758, pruned_loss=0.2614, over 14278.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.04186, over 130.00 utterances.], tot_loss[loss=0.4683, simple_loss=0.4656, pruned_loss=0.2355, over 2783252.34 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07034, over 45570.47 utterances.], batch size: 130, lr: 1.95e-03
+2022-09-17 02:27:29,229 INFO [train.py:885] (0/2) Epoch 1, batch 10800, loss[loss=0.4487, simple_loss=0.4509, pruned_loss=0.2233, over 14253.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04546, over 141.00 utterances.], tot_loss[loss=0.4685, simple_loss=0.4659, pruned_loss=0.2356, over 2784900.95 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07098, over 45435.38 utterances.], batch size: 141, lr: 1.94e-03
+2022-09-17 02:27:58,818 INFO [train.py:885] (0/2) Epoch 1, batch 10850, loss[loss=0.2899, simple_loss=0.31, pruned_loss=0.1349, over 13770.00 frames. utt_duration=919.1 frames, utt_pad_proportion=0.0763, over 60.00 utterances.], tot_loss[loss=0.4647, simple_loss=0.4634, pruned_loss=0.2329, over 2783482.07 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07125, over 45393.02 utterances.], batch size: 60, lr: 1.94e-03
+2022-09-17 02:28:28,626 INFO [train.py:885] (0/2) Epoch 1, batch 10900, loss[loss=0.2847, simple_loss=0.3127, pruned_loss=0.1284, over 13610.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.08479, over 42.00 utterances.], tot_loss[loss=0.4631, simple_loss=0.462, pruned_loss=0.232, over 2780871.15 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07135, over 45222.17 utterances.], batch size: 42, lr: 1.94e-03
+2022-09-17 02:28:58,644 INFO [train.py:885] (0/2) Epoch 1, batch 10950, loss[loss=0.6389, simple_loss=0.6286, pruned_loss=0.3247, over 13605.00 frames. utt_duration=98.55 frames, utt_pad_proportion=0.07897, over 560.00 utterances.], tot_loss[loss=0.4657, simple_loss=0.4647, pruned_loss=0.2334, over 2775576.01 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07471, over 47157.66 utterances.], batch size: 560, lr: 1.93e-03
+2022-09-17 02:29:27,609 INFO [train.py:885] (0/2) Epoch 1, batch 11000, loss[loss=0.2724, simple_loss=0.2945, pruned_loss=0.1252, over 13430.00 frames. utt_duration=1630 frames, utt_pad_proportion=0.09867, over 33.00 utterances.], tot_loss[loss=0.4645, simple_loss=0.4641, pruned_loss=0.2324, over 2777580.44 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07339, over 46666.92 utterances.], batch size: 33, lr: 1.93e-03
+2022-09-17 02:29:56,456 INFO [train.py:885] (0/2) Epoch 1, batch 11050, loss[loss=0.4156, simple_loss=0.4283, pruned_loss=0.2015, over 14259.00 frames. utt_duration=476.7 frames, utt_pad_proportion=0.04285, over 120.00 utterances.], tot_loss[loss=0.4678, simple_loss=0.4667, pruned_loss=0.2344, over 2778121.01 frames. utt_duration=235.7 frames, utt_pad_proportion=0.0736, over 47438.14 utterances.], batch size: 120, lr: 1.93e-03
+2022-09-17 02:30:26,407 INFO [train.py:885] (0/2) Epoch 1, batch 11100, loss[loss=0.2855, simple_loss=0.3215, pruned_loss=0.1247, over 13786.00 frames. utt_duration=800.6 frames, utt_pad_proportion=0.06794, over 69.00 utterances.], tot_loss[loss=0.4682, simple_loss=0.4675, pruned_loss=0.2345, over 2779873.59 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07438, over 47491.16 utterances.], batch size: 69, lr: 1.92e-03
+2022-09-17 02:30:55,779 INFO [train.py:885] (0/2) Epoch 1, batch 11150, loss[loss=0.2156, simple_loss=0.2408, pruned_loss=0.09514, over 13061.00 frames. utt_duration=1585 frames, utt_pad_proportion=0.1246, over 33.00 utterances.], tot_loss[loss=0.4636, simple_loss=0.4639, pruned_loss=0.2316, over 2778874.60 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07351, over 47133.82 utterances.], batch size: 33, lr: 1.92e-03
+2022-09-17 02:31:25,865 INFO [train.py:885] (0/2) Epoch 1, batch 11200, loss[loss=0.3896, simple_loss=0.3963, pruned_loss=0.1915, over 14053.00 frames. utt_duration=575 frames, utt_pad_proportion=0.0558, over 98.00 utterances.], tot_loss[loss=0.4699, simple_loss=0.4693, pruned_loss=0.2352, over 2780014.36 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07365, over 48463.48 utterances.], batch size: 98, lr: 1.92e-03
+2022-09-17 02:31:55,218 INFO [train.py:885] (0/2) Epoch 1, batch 11250, loss[loss=0.2842, simple_loss=0.2952, pruned_loss=0.1366, over 12661.00 frames. utt_duration=2027 frames, utt_pad_proportion=0.1505, over 25.00 utterances.], tot_loss[loss=0.4708, simple_loss=0.4699, pruned_loss=0.2359, over 2779104.95 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07276, over 48610.94 utterances.], batch size: 25, lr: 1.91e-03
+2022-09-17 02:32:25,604 INFO [train.py:885] (0/2) Epoch 1, batch 11300, loss[loss=0.5749, simple_loss=0.5766, pruned_loss=0.2866, over 13675.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08025, over 478.00 utterances.], tot_loss[loss=0.4667, simple_loss=0.4666, pruned_loss=0.2334, over 2777809.38 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07276, over 47930.95 utterances.], batch size: 478, lr: 1.91e-03
+2022-09-17 02:32:53,933 INFO [train.py:885] (0/2) Epoch 1, batch 11350, loss[loss=0.4916, simple_loss=0.4958, pruned_loss=0.2437, over 14360.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03292, over 244.00 utterances.], tot_loss[loss=0.461, simple_loss=0.4623, pruned_loss=0.2298, over 2782110.18 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06993, over 46449.69 utterances.], batch size: 244, lr: 1.90e-03
+2022-09-17 02:33:24,166 INFO [train.py:885] (0/2) Epoch 1, batch 11400, loss[loss=0.4128, simple_loss=0.4327, pruned_loss=0.1964, over 14321.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.0403, over 154.00 utterances.], tot_loss[loss=0.4606, simple_loss=0.4626, pruned_loss=0.2293, over 2780769.40 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07001, over 46875.40 utterances.], batch size: 154, lr: 1.90e-03
+2022-09-17 02:33:53,061 INFO [train.py:885] (0/2) Epoch 1, batch 11450, loss[loss=0.4358, simple_loss=0.4427, pruned_loss=0.2144, over 14321.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03882, over 120.00 utterances.], tot_loss[loss=0.4601, simple_loss=0.4624, pruned_loss=0.2289, over 2776582.17 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07203, over 47487.83 utterances.], batch size: 120, lr: 1.90e-03
+2022-09-17 02:34:22,641 INFO [train.py:885] (0/2) Epoch 1, batch 11500, loss[loss=0.3895, simple_loss=0.415, pruned_loss=0.182, over 14402.00 frames. utt_duration=346.3 frames, utt_pad_proportion=0.03536, over 167.00 utterances.], tot_loss[loss=0.4652, simple_loss=0.4669, pruned_loss=0.2318, over 2775992.74 frames. utt_duration=226.5 frames, utt_pad_proportion=0.07344, over 49338.73 utterances.], batch size: 167, lr: 1.89e-03
+2022-09-17 02:34:52,117 INFO [train.py:885] (0/2) Epoch 1, batch 11550, loss[loss=0.474, simple_loss=0.473, pruned_loss=0.2375, over 14341.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.0393, over 167.00 utterances.], tot_loss[loss=0.4661, simple_loss=0.4681, pruned_loss=0.232, over 2780662.44 frames. utt_duration=224.3 frames, utt_pad_proportion=0.07229, over 49925.74 utterances.], batch size: 167, lr: 1.89e-03
+2022-09-17 02:35:21,423 INFO [train.py:885] (0/2) Epoch 1, batch 11600, loss[loss=0.3719, simple_loss=0.3826, pruned_loss=0.1806, over 14251.00 frames. utt_duration=642 frames, utt_pad_proportion=0.04329, over 89.00 utterances.], tot_loss[loss=0.4656, simple_loss=0.4674, pruned_loss=0.2319, over 2781871.63 frames. utt_duration=227.3 frames, utt_pad_proportion=0.07134, over 49275.10 utterances.], batch size: 89, lr: 1.89e-03
+2022-09-17 02:35:51,571 INFO [train.py:885] (0/2) Epoch 1, batch 11650, loss[loss=0.3333, simple_loss=0.3619, pruned_loss=0.1524, over 14046.00 frames. utt_duration=712.5 frames, utt_pad_proportion=0.05625, over 79.00 utterances.], tot_loss[loss=0.4612, simple_loss=0.4637, pruned_loss=0.2294, over 2780682.78 frames. utt_duration=236.2 frames, utt_pad_proportion=0.06989, over 47393.28 utterances.], batch size: 79, lr: 1.88e-03
+2022-09-17 02:36:21,327 INFO [train.py:885] (0/2) Epoch 1, batch 11700, loss[loss=0.2527, simple_loss=0.2674, pruned_loss=0.119, over 12911.00 frames. utt_duration=1988 frames, utt_pad_proportion=0.1162, over 26.00 utterances.], tot_loss[loss=0.4563, simple_loss=0.4601, pruned_loss=0.2262, over 2779908.44 frames. utt_duration=239.4 frames, utt_pad_proportion=0.06852, over 46726.35 utterances.], batch size: 26, lr: 1.88e-03
+2022-09-17 02:36:51,045 INFO [train.py:885] (0/2) Epoch 1, batch 11750, loss[loss=0.5073, simple_loss=0.5012, pruned_loss=0.2567, over 14281.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.0413, over 262.00 utterances.], tot_loss[loss=0.4588, simple_loss=0.4616, pruned_loss=0.228, over 2777836.14 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07159, over 47095.11 utterances.], batch size: 262, lr: 1.88e-03
+2022-09-17 02:37:20,081 INFO [train.py:885] (0/2) Epoch 1, batch 11800, loss[loss=0.5112, simple_loss=0.5345, pruned_loss=0.244, over 13602.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08274, over 477.00 utterances.], tot_loss[loss=0.4558, simple_loss=0.4595, pruned_loss=0.226, over 2775772.54 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07146, over 46116.21 utterances.], batch size: 477, lr: 1.87e-03
+2022-09-17 02:37:50,559 INFO [train.py:885] (0/2) Epoch 1, batch 11850, loss[loss=0.5854, simple_loss=0.5465, pruned_loss=0.3122, over 14210.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04478, over 335.00 utterances.], tot_loss[loss=0.4556, simple_loss=0.459, pruned_loss=0.2261, over 2781090.65 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06973, over 45732.59 utterances.], batch size: 335, lr: 1.87e-03
+2022-09-17 02:38:19,855 INFO [train.py:885] (0/2) Epoch 1, batch 11900, loss[loss=0.5355, simple_loss=0.5186, pruned_loss=0.2763, over 14315.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03804, over 226.00 utterances.], tot_loss[loss=0.4544, simple_loss=0.4574, pruned_loss=0.2256, over 2782404.87 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07014, over 45115.15 utterances.], batch size: 226, lr: 1.87e-03
+2022-09-17 02:38:49,642 INFO [train.py:885] (0/2) Epoch 1, batch 11950, loss[loss=0.3533, simple_loss=0.3856, pruned_loss=0.1605, over 13785.00 frames. utt_duration=920.4 frames, utt_pad_proportion=0.06465, over 60.00 utterances.], tot_loss[loss=0.4548, simple_loss=0.4569, pruned_loss=0.2264, over 2779817.71 frames. utt_duration=252 frames, utt_pad_proportion=0.07083, over 44389.94 utterances.], batch size: 60, lr: 1.86e-03
+2022-09-17 02:39:18,234 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-12000.pt
+2022-09-17 02:39:19,295 INFO [train.py:885] (0/2) Epoch 1, batch 12000, loss[loss=0.5269, simple_loss=0.5475, pruned_loss=0.2531, over 13593.00 frames. utt_duration=98.48 frames, utt_pad_proportion=0.07966, over 560.00 utterances.], tot_loss[loss=0.4528, simple_loss=0.456, pruned_loss=0.2248, over 2780977.12 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07019, over 44949.99 utterances.], batch size: 560, lr: 1.86e-03
+2022-09-17 02:39:19,296 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 02:39:24,059 INFO [train.py:914] (0/2) Epoch 1, validation: loss=0.3121, simple_loss=0.3546, pruned_loss=0.1348, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 02:39:53,089 INFO [train.py:885] (0/2) Epoch 1, batch 12050, loss[loss=0.3645, simple_loss=0.3835, pruned_loss=0.1728, over 14173.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04451, over 109.00 utterances.], tot_loss[loss=0.4508, simple_loss=0.454, pruned_loss=0.2238, over 2787073.48 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06725, over 43545.73 utterances.], batch size: 109, lr: 1.86e-03
+2022-09-17 02:40:23,142 INFO [train.py:885] (0/2) Epoch 1, batch 12100, loss[loss=0.498, simple_loss=0.48, pruned_loss=0.258, over 14337.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03682, over 154.00 utterances.], tot_loss[loss=0.4571, simple_loss=0.459, pruned_loss=0.2276, over 2785151.55 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07008, over 45275.87 utterances.], batch size: 154, lr: 1.85e-03
+2022-09-17 02:40:52,708 INFO [train.py:885] (0/2) Epoch 1, batch 12150, loss[loss=0.3492, simple_loss=0.3805, pruned_loss=0.159, over 14076.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.0552, over 79.00 utterances.], tot_loss[loss=0.4542, simple_loss=0.4573, pruned_loss=0.2255, over 2784447.05 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07018, over 45195.11 utterances.], batch size: 79, lr: 1.85e-03
+2022-09-17 02:41:22,383 INFO [train.py:885] (0/2) Epoch 1, batch 12200, loss[loss=0.3262, simple_loss=0.3574, pruned_loss=0.1475, over 12550.00 frames. utt_duration=2010 frames, utt_pad_proportion=0.1623, over 25.00 utterances.], tot_loss[loss=0.4538, simple_loss=0.4578, pruned_loss=0.225, over 2781312.65 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07062, over 46007.43 utterances.], batch size: 25, lr: 1.85e-03
+2022-09-17 02:41:51,337 INFO [train.py:885] (0/2) Epoch 1, batch 12250, loss[loss=0.2534, simple_loss=0.279, pruned_loss=0.114, over 13453.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.0994, over 34.00 utterances.], tot_loss[loss=0.4564, simple_loss=0.4594, pruned_loss=0.2266, over 2785813.73 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06939, over 45917.36 utterances.], batch size: 34, lr: 1.84e-03
+2022-09-17 02:42:21,399 INFO [train.py:885] (0/2) Epoch 1, batch 12300, loss[loss=0.5428, simple_loss=0.5219, pruned_loss=0.2818, over 14298.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04003, over 262.00 utterances.], tot_loss[loss=0.4619, simple_loss=0.4638, pruned_loss=0.23, over 2785564.26 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07141, over 47438.82 utterances.], batch size: 262, lr: 1.84e-03
+2022-09-17 02:42:50,336 INFO [train.py:885] (0/2) Epoch 1, batch 12350, loss[loss=0.2792, simple_loss=0.3169, pruned_loss=0.1207, over 13288.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.1072, over 33.00 utterances.], tot_loss[loss=0.454, simple_loss=0.4576, pruned_loss=0.2252, over 2788561.29 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06924, over 45232.39 utterances.], batch size: 33, lr: 1.84e-03
+2022-09-17 02:43:21,199 INFO [train.py:885] (0/2) Epoch 1, batch 12400, loss[loss=0.482, simple_loss=0.5151, pruned_loss=0.2244, over 13733.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07396, over 411.00 utterances.], tot_loss[loss=0.4575, simple_loss=0.461, pruned_loss=0.227, over 2783051.49 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07188, over 47345.15 utterances.], batch size: 411, lr: 1.83e-03
+2022-09-17 02:43:50,713 INFO [train.py:885] (0/2) Epoch 1, batch 12450, loss[loss=0.5706, simple_loss=0.5391, pruned_loss=0.3011, over 14249.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04207, over 335.00 utterances.], tot_loss[loss=0.4573, simple_loss=0.4606, pruned_loss=0.2271, over 2779853.35 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07294, over 47444.25 utterances.], batch size: 335, lr: 1.83e-03
+2022-09-17 02:44:19,435 INFO [train.py:885] (0/2) Epoch 1, batch 12500, loss[loss=0.3268, simple_loss=0.3396, pruned_loss=0.157, over 13526.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08941, over 50.00 utterances.], tot_loss[loss=0.4531, simple_loss=0.4565, pruned_loss=0.2249, over 2780362.38 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07113, over 45775.20 utterances.], batch size: 50, lr: 1.83e-03
+2022-09-17 02:44:49,331 INFO [train.py:885] (0/2) Epoch 1, batch 12550, loss[loss=0.3732, simple_loss=0.3725, pruned_loss=0.1869, over 13730.00 frames. utt_duration=916.9 frames, utt_pad_proportion=0.07013, over 60.00 utterances.], tot_loss[loss=0.4538, simple_loss=0.4577, pruned_loss=0.225, over 2781310.25 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07123, over 45974.43 utterances.], batch size: 60, lr: 1.83e-03
+2022-09-17 02:45:16,145 INFO [train.py:885] (0/2) Epoch 1, batch 12600, loss[loss=0.434, simple_loss=0.4493, pruned_loss=0.2093, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03926, over 180.00 utterances.], tot_loss[loss=0.4517, simple_loss=0.4566, pruned_loss=0.2234, over 2779636.00 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07251, over 46369.23 utterances.], batch size: 180, lr: 1.82e-03
+2022-09-17 02:45:27,230 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-1.pt
+2022-09-17 02:45:34,936 INFO [train.py:885] (0/2) Epoch 2, batch 0, loss[loss=0.4509, simple_loss=0.4897, pruned_loss=0.2061, over 13835.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06951, over 412.00 utterances.], tot_loss[loss=0.4509, simple_loss=0.4897, pruned_loss=0.2061, over 13835.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06951, over 412.00 utterances.], batch size: 412, lr: 1.81e-03
+2022-09-17 02:46:04,105 INFO [train.py:885] (0/2) Epoch 2, batch 50, loss[loss=0.2674, simple_loss=0.2903, pruned_loss=0.1222, over 13631.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.07927, over 50.00 utterances.], tot_loss[loss=0.444, simple_loss=0.4514, pruned_loss=0.2183, over 622827.47 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07423, over 10563.49 utterances.], batch size: 50, lr: 1.81e-03
+2022-09-17 02:46:34,207 INFO [train.py:885] (0/2) Epoch 2, batch 100, loss[loss=0.3369, simple_loss=0.3703, pruned_loss=0.1518, over 14215.00 frames. utt_duration=640.6 frames, utt_pad_proportion=0.04389, over 89.00 utterances.], tot_loss[loss=0.4499, simple_loss=0.4567, pruned_loss=0.2215, over 1105967.93 frames. utt_duration=237.8 frames, utt_pad_proportion=0.06883, over 18721.44 utterances.], batch size: 89, lr: 1.80e-03
+2022-09-17 02:47:03,603 INFO [train.py:885] (0/2) Epoch 2, batch 150, loss[loss=0.2556, simple_loss=0.2884, pruned_loss=0.1114, over 13167.00 frames. utt_duration=1551 frames, utt_pad_proportion=0.1199, over 34.00 utterances.], tot_loss[loss=0.4472, simple_loss=0.4548, pruned_loss=0.2198, over 1474139.52 frames. utt_duration=238 frames, utt_pad_proportion=0.07129, over 24927.18 utterances.], batch size: 34, lr: 1.80e-03
+2022-09-17 02:47:40,835 INFO [train.py:885] (0/2) Epoch 2, batch 200, loss[loss=0.3802, simple_loss=0.401, pruned_loss=0.1797, over 14243.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04594, over 141.00 utterances.], tot_loss[loss=0.4424, simple_loss=0.4492, pruned_loss=0.2178, over 1767853.09 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06773, over 27806.41 utterances.], batch size: 141, lr: 1.80e-03
+2022-09-17 02:48:10,698 INFO [train.py:885] (0/2) Epoch 2, batch 250, loss[loss=0.486, simple_loss=0.4941, pruned_loss=0.239, over 14349.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03665, over 195.00 utterances.], tot_loss[loss=0.439, simple_loss=0.4462, pruned_loss=0.2159, over 1991663.00 frames. utt_duration=263.6 frames, utt_pad_proportion=0.0678, over 30392.94 utterances.], batch size: 195, lr: 1.79e-03
+2022-09-17 02:48:39,765 INFO [train.py:885] (0/2) Epoch 2, batch 300, loss[loss=0.4858, simple_loss=0.4886, pruned_loss=0.2414, over 14313.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0388, over 283.00 utterances.], tot_loss[loss=0.4427, simple_loss=0.4499, pruned_loss=0.2178, over 2172518.67 frames. utt_duration=257.1 frames, utt_pad_proportion=0.0655, over 33989.89 utterances.], batch size: 283, lr: 1.79e-03
+2022-09-17 02:49:09,317 INFO [train.py:885] (0/2) Epoch 2, batch 350, loss[loss=0.4888, simple_loss=0.4998, pruned_loss=0.2389, over 13947.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05934, over 365.00 utterances.], tot_loss[loss=0.4384, simple_loss=0.4464, pruned_loss=0.2152, over 2307961.86 frames. utt_duration=259.9 frames, utt_pad_proportion=0.06583, over 35728.66 utterances.], batch size: 365, lr: 1.79e-03
+2022-09-17 02:49:38,595 INFO [train.py:885] (0/2) Epoch 2, batch 400, loss[loss=0.4728, simple_loss=0.5044, pruned_loss=0.2206, over 13756.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07229, over 411.00 utterances.], tot_loss[loss=0.4507, simple_loss=0.456, pruned_loss=0.2227, over 2411755.81 frames. utt_duration=242.9 frames, utt_pad_proportion=0.06864, over 39950.66 utterances.], batch size: 411, lr: 1.78e-03
+2022-09-17 02:50:08,463 INFO [train.py:885] (0/2) Epoch 2, batch 450, loss[loss=0.4576, simple_loss=0.4673, pruned_loss=0.224, over 14313.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03877, over 195.00 utterances.], tot_loss[loss=0.4489, simple_loss=0.4546, pruned_loss=0.2215, over 2489597.99 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07011, over 41488.72 utterances.], batch size: 195, lr: 1.78e-03
+2022-09-17 02:50:37,819 INFO [train.py:885] (0/2) Epoch 2, batch 500, loss[loss=0.666, simple_loss=0.6528, pruned_loss=0.3396, over 13174.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.4459, simple_loss=0.4521, pruned_loss=0.2199, over 2553232.85 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07028, over 41330.35 utterances.], batch size: 653, lr: 1.78e-03
+2022-09-17 02:51:07,245 INFO [train.py:885] (0/2) Epoch 2, batch 550, loss[loss=0.572, simple_loss=0.5542, pruned_loss=0.2949, over 13967.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.0583, over 365.00 utterances.], tot_loss[loss=0.4435, simple_loss=0.4495, pruned_loss=0.2188, over 2600134.40 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07077, over 41529.32 utterances.], batch size: 365, lr: 1.78e-03
+2022-09-17 02:51:36,613 INFO [train.py:885] (0/2) Epoch 2, batch 600, loss[loss=0.2983, simple_loss=0.3323, pruned_loss=0.1322, over 13727.00 frames. utt_duration=916.6 frames, utt_pad_proportion=0.07412, over 60.00 utterances.], tot_loss[loss=0.4511, simple_loss=0.4565, pruned_loss=0.2228, over 2644356.32 frames. utt_duration=241 frames, utt_pad_proportion=0.06988, over 44160.42 utterances.], batch size: 60, lr: 1.77e-03
+2022-09-17 02:52:05,663 INFO [train.py:885] (0/2) Epoch 2, batch 650, loss[loss=0.8011, simple_loss=0.7618, pruned_loss=0.4202, over 12487.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1458, over 810.00 utterances.], tot_loss[loss=0.4511, simple_loss=0.4568, pruned_loss=0.2227, over 2674768.78 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07053, over 44792.00 utterances.], batch size: 810, lr: 1.77e-03
+2022-09-17 02:52:36,244 INFO [train.py:885] (0/2) Epoch 2, batch 700, loss[loss=0.4499, simple_loss=0.4641, pruned_loss=0.2178, over 14396.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03487, over 244.00 utterances.], tot_loss[loss=0.4564, simple_loss=0.4616, pruned_loss=0.2256, over 2696626.04 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07255, over 46685.17 utterances.], batch size: 244, lr: 1.77e-03
+2022-09-17 02:53:04,848 INFO [train.py:885] (0/2) Epoch 2, batch 750, loss[loss=0.4538, simple_loss=0.4665, pruned_loss=0.2205, over 14387.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.03368, over 210.00 utterances.], tot_loss[loss=0.4523, simple_loss=0.4585, pruned_loss=0.2231, over 2714589.47 frames. utt_duration=238 frames, utt_pad_proportion=0.0717, over 45904.60 utterances.], batch size: 210, lr: 1.76e-03
+2022-09-17 02:53:34,721 INFO [train.py:885] (0/2) Epoch 2, batch 800, loss[loss=0.5639, simple_loss=0.5577, pruned_loss=0.285, over 13756.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07324, over 411.00 utterances.], tot_loss[loss=0.4472, simple_loss=0.4542, pruned_loss=0.2201, over 2728964.37 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07113, over 45241.54 utterances.], batch size: 411, lr: 1.76e-03
+2022-09-17 02:54:03,399 INFO [train.py:885] (0/2) Epoch 2, batch 850, loss[loss=0.6149, simple_loss=0.5697, pruned_loss=0.33, over 14183.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.0452, over 306.00 utterances.], tot_loss[loss=0.4467, simple_loss=0.4532, pruned_loss=0.2201, over 2739409.02 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07028, over 44963.88 utterances.], batch size: 306, lr: 1.76e-03
+2022-09-17 02:54:33,251 INFO [train.py:885] (0/2) Epoch 2, batch 900, loss[loss=0.3539, simple_loss=0.3658, pruned_loss=0.171, over 14086.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.0534, over 98.00 utterances.], tot_loss[loss=0.4462, simple_loss=0.4528, pruned_loss=0.2198, over 2750520.77 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06906, over 44484.83 utterances.], batch size: 98, lr: 1.75e-03
+2022-09-17 02:55:02,268 INFO [train.py:885] (0/2) Epoch 2, batch 950, loss[loss=0.4943, simple_loss=0.522, pruned_loss=0.2333, over 13876.00 frames. utt_duration=136.2 frames, utt_pad_proportion=0.06696, over 412.00 utterances.], tot_loss[loss=0.447, simple_loss=0.4544, pruned_loss=0.2198, over 2757304.15 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06848, over 45223.66 utterances.], batch size: 412, lr: 1.75e-03
+2022-09-17 02:55:31,891 INFO [train.py:885] (0/2) Epoch 2, batch 1000, loss[loss=0.4865, simple_loss=0.4779, pruned_loss=0.2475, over 14343.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03891, over 167.00 utterances.], tot_loss[loss=0.445, simple_loss=0.4524, pruned_loss=0.2188, over 2762589.23 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06945, over 44772.89 utterances.], batch size: 167, lr: 1.75e-03
+2022-09-17 02:56:01,295 INFO [train.py:885] (0/2) Epoch 2, batch 1050, loss[loss=0.4884, simple_loss=0.5158, pruned_loss=0.2305, over 13771.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07153, over 411.00 utterances.], tot_loss[loss=0.4474, simple_loss=0.4555, pruned_loss=0.2196, over 2763304.31 frames. utt_duration=239.4 frames, utt_pad_proportion=0.06888, over 46464.74 utterances.], batch size: 411, lr: 1.75e-03
+2022-09-17 02:56:30,617 INFO [train.py:885] (0/2) Epoch 2, batch 1100, loss[loss=0.4894, simple_loss=0.5032, pruned_loss=0.2378, over 14012.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05523, over 365.00 utterances.], tot_loss[loss=0.4485, simple_loss=0.4561, pruned_loss=0.2204, over 2767104.63 frames. utt_duration=239 frames, utt_pad_proportion=0.06953, over 46592.36 utterances.], batch size: 365, lr: 1.74e-03
+2022-09-17 02:56:59,661 INFO [train.py:885] (0/2) Epoch 2, batch 1150, loss[loss=0.576, simple_loss=0.5891, pruned_loss=0.2814, over 13148.00 frames. utt_duration=82.13 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.4477, simple_loss=0.4561, pruned_loss=0.2196, over 2771198.28 frames. utt_duration=237.8 frames, utt_pad_proportion=0.06978, over 46909.87 utterances.], batch size: 653, lr: 1.74e-03
+2022-09-17 02:57:29,386 INFO [train.py:885] (0/2) Epoch 2, batch 1200, loss[loss=0.3286, simple_loss=0.3403, pruned_loss=0.1585, over 13762.00 frames. utt_duration=1103 frames, utt_pad_proportion=0.07195, over 50.00 utterances.], tot_loss[loss=0.4466, simple_loss=0.4552, pruned_loss=0.219, over 2774144.38 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07144, over 46437.78 utterances.], batch size: 50, lr: 1.74e-03
+2022-09-17 02:57:58,463 INFO [train.py:885] (0/2) Epoch 2, batch 1250, loss[loss=0.383, simple_loss=0.4112, pruned_loss=0.1774, over 14291.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04043, over 120.00 utterances.], tot_loss[loss=0.4453, simple_loss=0.4537, pruned_loss=0.2185, over 2772224.27 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07195, over 46024.93 utterances.], batch size: 120, lr: 1.74e-03
+2022-09-17 02:58:28,293 INFO [train.py:885] (0/2) Epoch 2, batch 1300, loss[loss=0.2803, simple_loss=0.314, pruned_loss=0.1233, over 13796.00 frames. utt_duration=921.3 frames, utt_pad_proportion=0.07127, over 60.00 utterances.], tot_loss[loss=0.4483, simple_loss=0.4561, pruned_loss=0.2202, over 2773921.07 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0737, over 46640.53 utterances.], batch size: 60, lr: 1.73e-03
+2022-09-17 02:58:57,771 INFO [train.py:885] (0/2) Epoch 2, batch 1350, loss[loss=0.4404, simple_loss=0.4519, pruned_loss=0.2144, over 14228.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04686, over 141.00 utterances.], tot_loss[loss=0.4491, simple_loss=0.4568, pruned_loss=0.2207, over 2776371.78 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07286, over 47139.23 utterances.], batch size: 141, lr: 1.73e-03
+2022-09-17 02:59:27,775 INFO [train.py:885] (0/2) Epoch 2, batch 1400, loss[loss=0.2601, simple_loss=0.2929, pruned_loss=0.1137, over 13487.00 frames. utt_duration=1588 frames, utt_pad_proportion=0.09806, over 34.00 utterances.], tot_loss[loss=0.4478, simple_loss=0.4554, pruned_loss=0.2201, over 2772366.56 frames. utt_duration=239 frames, utt_pad_proportion=0.07352, over 46683.69 utterances.], batch size: 34, lr: 1.73e-03
+2022-09-17 02:59:56,981 INFO [train.py:885] (0/2) Epoch 2, batch 1450, loss[loss=0.2889, simple_loss=0.2964, pruned_loss=0.1407, over 13068.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.122, over 33.00 utterances.], tot_loss[loss=0.4452, simple_loss=0.4533, pruned_loss=0.2186, over 2775857.20 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07345, over 46223.02 utterances.], batch size: 33, lr: 1.72e-03
+2022-09-17 03:00:26,630 INFO [train.py:885] (0/2) Epoch 2, batch 1500, loss[loss=0.5617, simple_loss=0.529, pruned_loss=0.2972, over 14190.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04533, over 306.00 utterances.], tot_loss[loss=0.4442, simple_loss=0.452, pruned_loss=0.2183, over 2779348.44 frames. utt_duration=247 frames, utt_pad_proportion=0.07173, over 45287.69 utterances.], batch size: 306, lr: 1.72e-03
+2022-09-17 03:00:55,839 INFO [train.py:885] (0/2) Epoch 2, batch 1550, loss[loss=0.293, simple_loss=0.3201, pruned_loss=0.1329, over 13847.00 frames. utt_duration=804 frames, utt_pad_proportion=0.06404, over 69.00 utterances.], tot_loss[loss=0.4484, simple_loss=0.4567, pruned_loss=0.2201, over 2778586.81 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07284, over 47347.45 utterances.], batch size: 69, lr: 1.72e-03
+2022-09-17 03:01:25,312 INFO [train.py:885] (0/2) Epoch 2, batch 1600, loss[loss=0.9358, simple_loss=0.84, pruned_loss=0.5158, over 12496.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1445, over 810.00 utterances.], tot_loss[loss=0.4437, simple_loss=0.4527, pruned_loss=0.2174, over 2782221.07 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07225, over 45750.93 utterances.], batch size: 810, lr: 1.72e-03
+2022-09-17 03:01:54,875 INFO [train.py:885] (0/2) Epoch 2, batch 1650, loss[loss=0.4306, simple_loss=0.4417, pruned_loss=0.2097, over 14260.00 frames. utt_duration=343 frames, utt_pad_proportion=0.0445, over 167.00 utterances.], tot_loss[loss=0.4438, simple_loss=0.4523, pruned_loss=0.2176, over 2780018.84 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07261, over 45577.34 utterances.], batch size: 167, lr: 1.71e-03
+2022-09-17 03:02:24,311 INFO [train.py:885] (0/2) Epoch 2, batch 1700, loss[loss=0.3014, simple_loss=0.3246, pruned_loss=0.1391, over 13869.00 frames. utt_duration=805.5 frames, utt_pad_proportion=0.06338, over 69.00 utterances.], tot_loss[loss=0.4398, simple_loss=0.4489, pruned_loss=0.2154, over 2781980.02 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07186, over 44306.15 utterances.], batch size: 69, lr: 1.71e-03
+2022-09-17 03:02:53,889 INFO [train.py:885] (0/2) Epoch 2, batch 1750, loss[loss=0.3526, simple_loss=0.3743, pruned_loss=0.1654, over 14095.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05268, over 98.00 utterances.], tot_loss[loss=0.4441, simple_loss=0.4526, pruned_loss=0.2178, over 2786527.85 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06954, over 45416.93 utterances.], batch size: 98, lr: 1.71e-03
+2022-09-17 03:03:23,253 INFO [train.py:885] (0/2) Epoch 2, batch 1800, loss[loss=0.584, simple_loss=0.544, pruned_loss=0.312, over 14246.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04247, over 335.00 utterances.], tot_loss[loss=0.4465, simple_loss=0.4552, pruned_loss=0.2189, over 2786047.17 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07145, over 46636.95 utterances.], batch size: 335, lr: 1.71e-03
+2022-09-17 03:03:52,828 INFO [train.py:885] (0/2) Epoch 2, batch 1850, loss[loss=0.3501, simple_loss=0.3709, pruned_loss=0.1647, over 14193.00 frames. utt_duration=580.6 frames, utt_pad_proportion=0.04821, over 98.00 utterances.], tot_loss[loss=0.4406, simple_loss=0.4496, pruned_loss=0.2158, over 2788763.59 frames. utt_duration=251.9 frames, utt_pad_proportion=0.0676, over 44552.05 utterances.], batch size: 98, lr: 1.70e-03
+2022-09-17 03:04:22,291 INFO [train.py:885] (0/2) Epoch 2, batch 1900, loss[loss=0.4553, simple_loss=0.4852, pruned_loss=0.2127, over 13966.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05855, over 365.00 utterances.], tot_loss[loss=0.4365, simple_loss=0.4459, pruned_loss=0.2136, over 2790159.84 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06606, over 43285.78 utterances.], batch size: 365, lr: 1.70e-03
+2022-09-17 03:04:51,789 INFO [train.py:885] (0/2) Epoch 2, batch 1950, loss[loss=0.3827, simple_loss=0.4174, pruned_loss=0.174, over 14293.00 frames. utt_duration=373 frames, utt_pad_proportion=0.03876, over 154.00 utterances.], tot_loss[loss=0.4422, simple_loss=0.4506, pruned_loss=0.2169, over 2787363.75 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06827, over 44781.78 utterances.], batch size: 154, lr: 1.70e-03
+2022-09-17 03:05:21,314 INFO [train.py:885] (0/2) Epoch 2, batch 2000, loss[loss=0.8174, simple_loss=0.7761, pruned_loss=0.4293, over 12461.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.147, over 810.00 utterances.], tot_loss[loss=0.4454, simple_loss=0.4532, pruned_loss=0.2188, over 2782264.45 frames. utt_duration=245.7 frames, utt_pad_proportion=0.0706, over 45569.46 utterances.], batch size: 810, lr: 1.69e-03
+2022-09-17 03:05:50,740 INFO [train.py:885] (0/2) Epoch 2, batch 2050, loss[loss=0.5618, simple_loss=0.5833, pruned_loss=0.2701, over 13177.00 frames. utt_duration=82.24 frames, utt_pad_proportion=0.1061, over 653.00 utterances.], tot_loss[loss=0.4453, simple_loss=0.4535, pruned_loss=0.2186, over 2785949.14 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07032, over 45781.31 utterances.], batch size: 653, lr: 1.69e-03
+2022-09-17 03:06:20,281 INFO [train.py:885] (0/2) Epoch 2, batch 2100, loss[loss=0.8875, simple_loss=0.805, pruned_loss=0.485, over 12421.00 frames. utt_duration=62.94 frames, utt_pad_proportion=0.1494, over 810.00 utterances.], tot_loss[loss=0.4445, simple_loss=0.4535, pruned_loss=0.2178, over 2785407.23 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07091, over 46196.35 utterances.], batch size: 810, lr: 1.69e-03
+2022-09-17 03:06:50,496 INFO [train.py:885] (0/2) Epoch 2, batch 2150, loss[loss=0.9178, simple_loss=0.8322, pruned_loss=0.5017, over 12495.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 811.00 utterances.], tot_loss[loss=0.4428, simple_loss=0.4526, pruned_loss=0.2165, over 2781254.19 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07231, over 46319.28 utterances.], batch size: 811, lr: 1.69e-03
+2022-09-17 03:07:20,323 INFO [train.py:885] (0/2) Epoch 2, batch 2200, loss[loss=0.2589, simple_loss=0.3011, pruned_loss=0.1083, over 13608.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.07924, over 42.00 utterances.], tot_loss[loss=0.444, simple_loss=0.4537, pruned_loss=0.2171, over 2779222.20 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07452, over 47570.95 utterances.], batch size: 42, lr: 1.68e-03
+2022-09-17 03:07:49,375 INFO [train.py:885] (0/2) Epoch 2, batch 2250, loss[loss=0.579, simple_loss=0.5339, pruned_loss=0.312, over 14288.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04132, over 262.00 utterances.], tot_loss[loss=0.4369, simple_loss=0.4477, pruned_loss=0.2131, over 2777383.11 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07413, over 45758.48 utterances.], batch size: 262, lr: 1.68e-03
+2022-09-17 03:08:18,530 INFO [train.py:885] (0/2) Epoch 2, batch 2300, loss[loss=0.3183, simple_loss=0.3219, pruned_loss=0.1573, over 13840.00 frames. utt_duration=924 frames, utt_pad_proportion=0.07131, over 60.00 utterances.], tot_loss[loss=0.4407, simple_loss=0.4506, pruned_loss=0.2153, over 2773380.62 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07884, over 46889.43 utterances.], batch size: 60, lr: 1.68e-03
+2022-09-17 03:08:48,329 INFO [train.py:885] (0/2) Epoch 2, batch 2350, loss[loss=1.017, simple_loss=0.8963, pruned_loss=0.5684, over 12499.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 811.00 utterances.], tot_loss[loss=0.4505, simple_loss=0.4583, pruned_loss=0.2214, over 2772107.85 frames. utt_duration=227.1 frames, utt_pad_proportion=0.08039, over 49152.22 utterances.], batch size: 811, lr: 1.68e-03
+2022-09-17 03:09:17,360 INFO [train.py:885] (0/2) Epoch 2, batch 2400, loss[loss=0.8198, simple_loss=0.7664, pruned_loss=0.4366, over 12485.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 811.00 utterances.], tot_loss[loss=0.445, simple_loss=0.454, pruned_loss=0.218, over 2773285.33 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07871, over 47477.69 utterances.], batch size: 811, lr: 1.67e-03
+2022-09-17 03:09:47,085 INFO [train.py:885] (0/2) Epoch 2, batch 2450, loss[loss=0.2902, simple_loss=0.3283, pruned_loss=0.126, over 13226.00 frames. utt_duration=2037 frames, utt_pad_proportion=0.1153, over 26.00 utterances.], tot_loss[loss=0.4411, simple_loss=0.4515, pruned_loss=0.2154, over 2776209.51 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07602, over 47101.73 utterances.], batch size: 26, lr: 1.67e-03
+2022-09-17 03:10:16,388 INFO [train.py:885] (0/2) Epoch 2, batch 2500, loss[loss=0.306, simple_loss=0.3573, pruned_loss=0.1273, over 14022.00 frames. utt_duration=711.3 frames, utt_pad_proportion=0.05907, over 79.00 utterances.], tot_loss[loss=0.4395, simple_loss=0.4499, pruned_loss=0.2145, over 2776062.24 frames. utt_duration=240 frames, utt_pad_proportion=0.07637, over 46560.91 utterances.], batch size: 79, lr: 1.67e-03
+2022-09-17 03:10:46,195 INFO [train.py:885] (0/2) Epoch 2, batch 2550, loss[loss=0.6255, simple_loss=0.6222, pruned_loss=0.3144, over 13126.00 frames. utt_duration=81.97 frames, utt_pad_proportion=0.109, over 653.00 utterances.], tot_loss[loss=0.4401, simple_loss=0.4505, pruned_loss=0.2148, over 2779472.35 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0748, over 46330.89 utterances.], batch size: 653, lr: 1.67e-03
+2022-09-17 03:11:15,384 INFO [train.py:885] (0/2) Epoch 2, batch 2600, loss[loss=0.3031, simple_loss=0.3255, pruned_loss=0.1404, over 13862.00 frames. utt_duration=925.5 frames, utt_pad_proportion=0.06987, over 60.00 utterances.], tot_loss[loss=0.4318, simple_loss=0.4432, pruned_loss=0.2101, over 2777702.03 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07318, over 43946.48 utterances.], batch size: 60, lr: 1.66e-03
+2022-09-17 03:11:44,937 INFO [train.py:885] (0/2) Epoch 2, batch 2650, loss[loss=0.8689, simple_loss=0.8009, pruned_loss=0.4684, over 12491.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.4304, simple_loss=0.4425, pruned_loss=0.2092, over 2774206.09 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07501, over 44089.56 utterances.], batch size: 810, lr: 1.66e-03
+2022-09-17 03:12:21,529 INFO [train.py:885] (0/2) Epoch 2, batch 2700, loss[loss=0.5167, simple_loss=0.5123, pruned_loss=0.2605, over 14287.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04105, over 262.00 utterances.], tot_loss[loss=0.4306, simple_loss=0.4429, pruned_loss=0.2092, over 2774551.87 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07266, over 44443.79 utterances.], batch size: 262, lr: 1.66e-03
+2022-09-17 03:12:51,620 INFO [train.py:885] (0/2) Epoch 2, batch 2750, loss[loss=0.5104, simple_loss=0.505, pruned_loss=0.2579, over 14235.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04335, over 306.00 utterances.], tot_loss[loss=0.4396, simple_loss=0.4496, pruned_loss=0.2147, over 2770699.43 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07624, over 46325.77 utterances.], batch size: 306, lr: 1.66e-03
+2022-09-17 03:13:21,325 INFO [train.py:885] (0/2) Epoch 2, batch 2800, loss[loss=0.4286, simple_loss=0.4756, pruned_loss=0.1908, over 13783.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07059, over 411.00 utterances.], tot_loss[loss=0.4387, simple_loss=0.449, pruned_loss=0.2142, over 2773780.67 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07396, over 46606.70 utterances.], batch size: 411, lr: 1.65e-03
+2022-09-17 03:13:50,247 INFO [train.py:885] (0/2) Epoch 2, batch 2850, loss[loss=0.7437, simple_loss=0.6941, pruned_loss=0.3967, over 13179.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.4418, simple_loss=0.4518, pruned_loss=0.2159, over 2777884.62 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07224, over 47057.52 utterances.], batch size: 653, lr: 1.65e-03
+2022-09-17 03:14:19,772 INFO [train.py:885] (0/2) Epoch 2, batch 2900, loss[loss=0.5225, simple_loss=0.529, pruned_loss=0.258, over 13758.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07219, over 411.00 utterances.], tot_loss[loss=0.4394, simple_loss=0.4499, pruned_loss=0.2144, over 2779748.79 frames. utt_duration=243 frames, utt_pad_proportion=0.07111, over 46037.85 utterances.], batch size: 411, lr: 1.65e-03
+2022-09-17 03:14:48,907 INFO [train.py:885] (0/2) Epoch 2, batch 2950, loss[loss=0.3308, simple_loss=0.3861, pruned_loss=0.1377, over 11954.00 frames. utt_duration=1994 frames, utt_pad_proportion=0.1849, over 24.00 utterances.], tot_loss[loss=0.4379, simple_loss=0.4484, pruned_loss=0.2137, over 2776434.69 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07003, over 45385.68 utterances.], batch size: 24, lr: 1.65e-03
+2022-09-17 03:15:18,819 INFO [train.py:885] (0/2) Epoch 2, batch 3000, loss[loss=0.3973, simple_loss=0.4236, pruned_loss=0.1855, over 14364.00 frames. utt_duration=480.4 frames, utt_pad_proportion=0.03531, over 120.00 utterances.], tot_loss[loss=0.4386, simple_loss=0.449, pruned_loss=0.2141, over 2776801.26 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07099, over 45928.36 utterances.], batch size: 120, lr: 1.65e-03
+2022-09-17 03:15:18,821 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 03:15:23,019 INFO [train.py:914] (0/2) Epoch 2, validation: loss=0.2888, simple_loss=0.3402, pruned_loss=0.1187, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 03:15:51,839 INFO [train.py:885] (0/2) Epoch 2, batch 3050, loss[loss=0.2721, simple_loss=0.3153, pruned_loss=0.1145, over 13549.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09177, over 42.00 utterances.], tot_loss[loss=0.436, simple_loss=0.4477, pruned_loss=0.2122, over 2774714.89 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07275, over 46564.80 utterances.], batch size: 42, lr: 1.64e-03
+2022-09-17 03:16:21,619 INFO [train.py:885] (0/2) Epoch 2, batch 3100, loss[loss=0.3943, simple_loss=0.3911, pruned_loss=0.1988, over 14181.00 frames. utt_duration=638.8 frames, utt_pad_proportion=0.04796, over 89.00 utterances.], tot_loss[loss=0.434, simple_loss=0.4461, pruned_loss=0.211, over 2771380.54 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07355, over 46722.26 utterances.], batch size: 89, lr: 1.64e-03
+2022-09-17 03:16:51,165 INFO [train.py:885] (0/2) Epoch 2, batch 3150, loss[loss=0.5529, simple_loss=0.5345, pruned_loss=0.2857, over 14187.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04532, over 306.00 utterances.], tot_loss[loss=0.438, simple_loss=0.4486, pruned_loss=0.2137, over 2776605.73 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07227, over 46870.07 utterances.], batch size: 306, lr: 1.64e-03
+2022-09-17 03:17:20,662 INFO [train.py:885] (0/2) Epoch 2, batch 3200, loss[loss=0.4143, simple_loss=0.4371, pruned_loss=0.1958, over 14317.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03986, over 154.00 utterances.], tot_loss[loss=0.4327, simple_loss=0.4443, pruned_loss=0.2105, over 2778845.20 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07077, over 45467.02 utterances.], batch size: 154, lr: 1.64e-03
+2022-09-17 03:17:50,483 INFO [train.py:885] (0/2) Epoch 2, batch 3250, loss[loss=0.4623, simple_loss=0.4902, pruned_loss=0.2172, over 13984.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05688, over 365.00 utterances.], tot_loss[loss=0.4303, simple_loss=0.4424, pruned_loss=0.2091, over 2781212.55 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07025, over 44812.26 utterances.], batch size: 365, lr: 1.63e-03
+2022-09-17 03:18:20,137 INFO [train.py:885] (0/2) Epoch 2, batch 3300, loss[loss=0.4907, simple_loss=0.5221, pruned_loss=0.2297, over 13646.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08031, over 477.00 utterances.], tot_loss[loss=0.4372, simple_loss=0.4485, pruned_loss=0.2129, over 2776664.56 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07304, over 47184.33 utterances.], batch size: 477, lr: 1.63e-03
+2022-09-17 03:18:49,499 INFO [train.py:885] (0/2) Epoch 2, batch 3350, loss[loss=0.2672, simple_loss=0.3029, pruned_loss=0.1158, over 13443.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.08582, over 50.00 utterances.], tot_loss[loss=0.4363, simple_loss=0.4481, pruned_loss=0.2122, over 2775467.84 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07342, over 47089.51 utterances.], batch size: 50, lr: 1.63e-03
+2022-09-17 03:19:06,320 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-16000.pt
+2022-09-17 03:19:19,192 INFO [train.py:885] (0/2) Epoch 2, batch 3400, loss[loss=0.4181, simple_loss=0.4313, pruned_loss=0.2025, over 14248.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04611, over 141.00 utterances.], tot_loss[loss=0.4325, simple_loss=0.4451, pruned_loss=0.21, over 2779177.90 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07318, over 45705.34 utterances.], batch size: 141, lr: 1.63e-03
+2022-09-17 03:19:48,612 INFO [train.py:885] (0/2) Epoch 2, batch 3450, loss[loss=0.4466, simple_loss=0.467, pruned_loss=0.2132, over 14323.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03842, over 195.00 utterances.], tot_loss[loss=0.4308, simple_loss=0.4438, pruned_loss=0.2089, over 2786243.15 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06941, over 45050.78 utterances.], batch size: 195, lr: 1.62e-03
+2022-09-17 03:20:17,863 INFO [train.py:885] (0/2) Epoch 2, batch 3500, loss[loss=0.4416, simple_loss=0.4775, pruned_loss=0.2029, over 13973.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.0582, over 365.00 utterances.], tot_loss[loss=0.4322, simple_loss=0.4453, pruned_loss=0.2096, over 2785167.86 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06877, over 45322.51 utterances.], batch size: 365, lr: 1.62e-03
+2022-09-17 03:20:47,795 INFO [train.py:885] (0/2) Epoch 2, batch 3550, loss[loss=0.5208, simple_loss=0.5232, pruned_loss=0.2593, over 13947.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05917, over 365.00 utterances.], tot_loss[loss=0.432, simple_loss=0.4451, pruned_loss=0.2095, over 2783853.45 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07013, over 45780.91 utterances.], batch size: 365, lr: 1.62e-03
+2022-09-17 03:21:16,937 INFO [train.py:885] (0/2) Epoch 2, batch 3600, loss[loss=0.4739, simple_loss=0.4802, pruned_loss=0.2339, over 14287.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04057, over 283.00 utterances.], tot_loss[loss=0.4306, simple_loss=0.4438, pruned_loss=0.2087, over 2780481.99 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07138, over 45654.29 utterances.], batch size: 283, lr: 1.62e-03
+2022-09-17 03:21:46,578 INFO [train.py:885] (0/2) Epoch 2, batch 3650, loss[loss=0.4869, simple_loss=0.4807, pruned_loss=0.2465, over 14307.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03827, over 180.00 utterances.], tot_loss[loss=0.4238, simple_loss=0.4385, pruned_loss=0.2046, over 2783000.28 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06914, over 43928.19 utterances.], batch size: 180, lr: 1.61e-03
+2022-09-17 03:22:16,552 INFO [train.py:885] (0/2) Epoch 2, batch 3700, loss[loss=0.8236, simple_loss=0.7829, pruned_loss=0.4321, over 12521.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1445, over 811.00 utterances.], tot_loss[loss=0.4258, simple_loss=0.4407, pruned_loss=0.2054, over 2782203.62 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07098, over 44821.06 utterances.], batch size: 811, lr: 1.61e-03
+2022-09-17 03:22:45,779 INFO [train.py:885] (0/2) Epoch 2, batch 3750, loss[loss=0.3237, simple_loss=0.3558, pruned_loss=0.1458, over 13960.00 frames. utt_duration=810.8 frames, utt_pad_proportion=0.0561, over 69.00 utterances.], tot_loss[loss=0.4233, simple_loss=0.4382, pruned_loss=0.2042, over 2781897.80 frames. utt_duration=257.2 frames, utt_pad_proportion=0.07009, over 43521.78 utterances.], batch size: 69, lr: 1.61e-03
+2022-09-17 03:23:15,798 INFO [train.py:885] (0/2) Epoch 2, batch 3800, loss[loss=0.2357, simple_loss=0.2654, pruned_loss=0.103, over 13209.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1013, over 33.00 utterances.], tot_loss[loss=0.4272, simple_loss=0.442, pruned_loss=0.2062, over 2783010.26 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07074, over 44889.67 utterances.], batch size: 33, lr: 1.61e-03
+2022-09-17 03:23:45,306 INFO [train.py:885] (0/2) Epoch 2, batch 3850, loss[loss=0.3923, simple_loss=0.4171, pruned_loss=0.1838, over 13989.00 frames. utt_duration=572.4 frames, utt_pad_proportion=0.06168, over 98.00 utterances.], tot_loss[loss=0.4239, simple_loss=0.4391, pruned_loss=0.2044, over 2783120.42 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06981, over 43718.96 utterances.], batch size: 98, lr: 1.61e-03
+2022-09-17 03:24:14,867 INFO [train.py:885] (0/2) Epoch 2, batch 3900, loss[loss=0.3912, simple_loss=0.4037, pruned_loss=0.1894, over 13980.00 frames. utt_duration=572.1 frames, utt_pad_proportion=0.05908, over 98.00 utterances.], tot_loss[loss=0.4322, simple_loss=0.4466, pruned_loss=0.2089, over 2776193.25 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07184, over 47242.04 utterances.], batch size: 98, lr: 1.60e-03
+2022-09-17 03:24:44,500 INFO [train.py:885] (0/2) Epoch 2, batch 3950, loss[loss=0.3834, simple_loss=0.4076, pruned_loss=0.1796, over 14326.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03835, over 120.00 utterances.], tot_loss[loss=0.4294, simple_loss=0.444, pruned_loss=0.2074, over 2774375.31 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07345, over 45870.56 utterances.], batch size: 120, lr: 1.60e-03
+2022-09-17 03:25:13,785 INFO [train.py:885] (0/2) Epoch 2, batch 4000, loss[loss=0.5126, simple_loss=0.4975, pruned_loss=0.2639, over 14357.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03624, over 283.00 utterances.], tot_loss[loss=0.4273, simple_loss=0.4419, pruned_loss=0.2064, over 2777299.87 frames. utt_duration=246 frames, utt_pad_proportion=0.07213, over 45427.67 utterances.], batch size: 283, lr: 1.60e-03
+2022-09-17 03:25:44,231 INFO [train.py:885] (0/2) Epoch 2, batch 4050, loss[loss=0.4536, simple_loss=0.4711, pruned_loss=0.218, over 14271.00 frames. utt_duration=219.2 frames, utt_pad_proportion=0.04258, over 262.00 utterances.], tot_loss[loss=0.4282, simple_loss=0.442, pruned_loss=0.2072, over 2772604.00 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07277, over 45529.44 utterances.], batch size: 262, lr: 1.60e-03
+2022-09-17 03:26:12,807 INFO [train.py:885] (0/2) Epoch 2, batch 4100, loss[loss=0.2223, simple_loss=0.2545, pruned_loss=0.09504, over 12589.00 frames. utt_duration=2099 frames, utt_pad_proportion=0.147, over 24.00 utterances.], tot_loss[loss=0.4212, simple_loss=0.437, pruned_loss=0.2027, over 2778699.88 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06969, over 43749.13 utterances.], batch size: 24, lr: 1.59e-03
+2022-09-17 03:26:42,971 INFO [train.py:885] (0/2) Epoch 2, batch 4150, loss[loss=0.465, simple_loss=0.4685, pruned_loss=0.2308, over 14180.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04609, over 306.00 utterances.], tot_loss[loss=0.4257, simple_loss=0.4405, pruned_loss=0.2055, over 2779158.54 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07064, over 44854.55 utterances.], batch size: 306, lr: 1.59e-03
+2022-09-17 03:27:12,334 INFO [train.py:885] (0/2) Epoch 2, batch 4200, loss[loss=0.3949, simple_loss=0.4201, pruned_loss=0.1849, over 14332.00 frames. utt_duration=408 frames, utt_pad_proportion=0.03779, over 141.00 utterances.], tot_loss[loss=0.427, simple_loss=0.442, pruned_loss=0.2059, over 2779500.23 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07228, over 45748.10 utterances.], batch size: 141, lr: 1.59e-03
+2022-09-17 03:27:42,275 INFO [train.py:885] (0/2) Epoch 2, batch 4250, loss[loss=0.4903, simple_loss=0.4935, pruned_loss=0.2435, over 14291.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03911, over 225.00 utterances.], tot_loss[loss=0.4241, simple_loss=0.4395, pruned_loss=0.2043, over 2778644.79 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07196, over 44877.33 utterances.], batch size: 225, lr: 1.59e-03
+2022-09-17 03:28:11,288 INFO [train.py:885] (0/2) Epoch 2, batch 4300, loss[loss=0.4389, simple_loss=0.4546, pruned_loss=0.2116, over 14315.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04095, over 167.00 utterances.], tot_loss[loss=0.4277, simple_loss=0.4423, pruned_loss=0.2065, over 2781846.05 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07107, over 45237.93 utterances.], batch size: 167, lr: 1.59e-03
+2022-09-17 03:28:40,868 INFO [train.py:885] (0/2) Epoch 2, batch 4350, loss[loss=0.3108, simple_loss=0.3446, pruned_loss=0.1385, over 11939.00 frames. utt_duration=1992 frames, utt_pad_proportion=0.1966, over 24.00 utterances.], tot_loss[loss=0.4322, simple_loss=0.446, pruned_loss=0.2092, over 2779133.13 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0728, over 46042.02 utterances.], batch size: 24, lr: 1.58e-03
+2022-09-17 03:29:09,753 INFO [train.py:885] (0/2) Epoch 2, batch 4400, loss[loss=0.492, simple_loss=0.518, pruned_loss=0.233, over 13704.00 frames. utt_duration=134.9 frames, utt_pad_proportion=0.07619, over 411.00 utterances.], tot_loss[loss=0.4287, simple_loss=0.4433, pruned_loss=0.2071, over 2779434.32 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07232, over 45773.69 utterances.], batch size: 411, lr: 1.58e-03
+2022-09-17 03:29:39,311 INFO [train.py:885] (0/2) Epoch 2, batch 4450, loss[loss=0.3465, simple_loss=0.4002, pruned_loss=0.1464, over 12949.00 frames. utt_duration=1994 frames, utt_pad_proportion=0.1186, over 26.00 utterances.], tot_loss[loss=0.4291, simple_loss=0.4432, pruned_loss=0.2075, over 2782395.99 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07143, over 45099.04 utterances.], batch size: 26, lr: 1.58e-03
+2022-09-17 03:30:08,934 INFO [train.py:885] (0/2) Epoch 2, batch 4500, loss[loss=0.4013, simple_loss=0.4223, pruned_loss=0.1902, over 14347.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.03789, over 154.00 utterances.], tot_loss[loss=0.4298, simple_loss=0.4431, pruned_loss=0.2083, over 2783764.35 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07089, over 44603.90 utterances.], batch size: 154, lr: 1.58e-03
+2022-09-17 03:30:37,687 INFO [train.py:885] (0/2) Epoch 2, batch 4550, loss[loss=0.4948, simple_loss=0.4936, pruned_loss=0.2481, over 14318.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03918, over 262.00 utterances.], tot_loss[loss=0.4299, simple_loss=0.4436, pruned_loss=0.2081, over 2789614.20 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06785, over 44779.43 utterances.], batch size: 262, lr: 1.58e-03
+2022-09-17 03:31:07,825 INFO [train.py:885] (0/2) Epoch 2, batch 4600, loss[loss=0.6182, simple_loss=0.5669, pruned_loss=0.3347, over 14251.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04214, over 335.00 utterances.], tot_loss[loss=0.4358, simple_loss=0.4484, pruned_loss=0.2116, over 2788531.69 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0699, over 46198.03 utterances.], batch size: 335, lr: 1.57e-03
+2022-09-17 03:31:36,736 INFO [train.py:885] (0/2) Epoch 2, batch 4650, loss[loss=0.3397, simple_loss=0.3732, pruned_loss=0.1531, over 14204.00 frames. utt_duration=522.6 frames, utt_pad_proportion=0.04295, over 109.00 utterances.], tot_loss[loss=0.4387, simple_loss=0.4513, pruned_loss=0.2131, over 2784166.79 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07262, over 47238.79 utterances.], batch size: 109, lr: 1.57e-03
+2022-09-17 03:32:06,326 INFO [train.py:885] (0/2) Epoch 2, batch 4700, loss[loss=0.5664, simple_loss=0.5314, pruned_loss=0.3007, over 14213.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04362, over 306.00 utterances.], tot_loss[loss=0.4365, simple_loss=0.4499, pruned_loss=0.2116, over 2785300.95 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07086, over 47325.45 utterances.], batch size: 306, lr: 1.57e-03
+2022-09-17 03:32:36,345 INFO [train.py:885] (0/2) Epoch 2, batch 4750, loss[loss=0.4355, simple_loss=0.4748, pruned_loss=0.1981, over 13985.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05703, over 365.00 utterances.], tot_loss[loss=0.4366, simple_loss=0.4497, pruned_loss=0.2117, over 2781490.76 frames. utt_duration=241 frames, utt_pad_proportion=0.07111, over 46455.09 utterances.], batch size: 365, lr: 1.57e-03
+2022-09-17 03:33:06,750 INFO [train.py:885] (0/2) Epoch 2, batch 4800, loss[loss=0.6513, simple_loss=0.6447, pruned_loss=0.329, over 13122.00 frames. utt_duration=81.9 frames, utt_pad_proportion=0.1098, over 653.00 utterances.], tot_loss[loss=0.4387, simple_loss=0.4524, pruned_loss=0.2124, over 2783871.56 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07138, over 47865.85 utterances.], batch size: 653, lr: 1.56e-03
+2022-09-17 03:33:35,167 INFO [train.py:885] (0/2) Epoch 2, batch 4850, loss[loss=0.3675, simple_loss=0.3827, pruned_loss=0.1762, over 12968.00 frames. utt_duration=1997 frames, utt_pad_proportion=0.1162, over 26.00 utterances.], tot_loss[loss=0.4301, simple_loss=0.4447, pruned_loss=0.2078, over 2782331.40 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06934, over 45107.21 utterances.], batch size: 26, lr: 1.56e-03
+2022-09-17 03:34:04,792 INFO [train.py:885] (0/2) Epoch 2, batch 4900, loss[loss=0.4937, simple_loss=0.4938, pruned_loss=0.2468, over 14253.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04189, over 225.00 utterances.], tot_loss[loss=0.4352, simple_loss=0.4491, pruned_loss=0.2107, over 2779543.99 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07279, over 47090.73 utterances.], batch size: 225, lr: 1.56e-03
+2022-09-17 03:34:34,602 INFO [train.py:885] (0/2) Epoch 2, batch 4950, loss[loss=0.5652, simple_loss=0.538, pruned_loss=0.2962, over 14383.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0317, over 244.00 utterances.], tot_loss[loss=0.4364, simple_loss=0.4506, pruned_loss=0.2111, over 2778839.90 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07203, over 47587.46 utterances.], batch size: 244, lr: 1.56e-03
+2022-09-17 03:35:03,699 INFO [train.py:885] (0/2) Epoch 2, batch 5000, loss[loss=0.5071, simple_loss=0.4897, pruned_loss=0.2622, over 14372.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03659, over 244.00 utterances.], tot_loss[loss=0.4373, simple_loss=0.4513, pruned_loss=0.2116, over 2773746.24 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07301, over 48502.28 utterances.], batch size: 244, lr: 1.56e-03
+2022-09-17 03:35:33,364 INFO [train.py:885] (0/2) Epoch 2, batch 5050, loss[loss=0.4166, simple_loss=0.4467, pruned_loss=0.1933, over 14259.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04144, over 225.00 utterances.], tot_loss[loss=0.4343, simple_loss=0.449, pruned_loss=0.2098, over 2776549.11 frames. utt_duration=232 frames, utt_pad_proportion=0.07079, over 48188.05 utterances.], batch size: 225, lr: 1.55e-03
+2022-09-17 03:36:03,277 INFO [train.py:885] (0/2) Epoch 2, batch 5100, loss[loss=0.2941, simple_loss=0.3317, pruned_loss=0.1282, over 14152.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.0515, over 89.00 utterances.], tot_loss[loss=0.4315, simple_loss=0.4462, pruned_loss=0.2084, over 2776554.49 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07121, over 47079.48 utterances.], batch size: 89, lr: 1.55e-03
+2022-09-17 03:36:32,063 INFO [train.py:885] (0/2) Epoch 2, batch 5150, loss[loss=0.4179, simple_loss=0.4267, pruned_loss=0.2045, over 14338.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.03749, over 130.00 utterances.], tot_loss[loss=0.4272, simple_loss=0.4425, pruned_loss=0.206, over 2784398.38 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06849, over 45435.71 utterances.], batch size: 130, lr: 1.55e-03
+2022-09-17 03:37:02,124 INFO [train.py:885] (0/2) Epoch 2, batch 5200, loss[loss=0.3926, simple_loss=0.4272, pruned_loss=0.1789, over 14312.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04098, over 167.00 utterances.], tot_loss[loss=0.4216, simple_loss=0.4378, pruned_loss=0.2027, over 2779578.01 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06917, over 44981.64 utterances.], batch size: 167, lr: 1.55e-03
+2022-09-17 03:37:31,113 INFO [train.py:885] (0/2) Epoch 2, batch 5250, loss[loss=0.487, simple_loss=0.5082, pruned_loss=0.2329, over 13973.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05725, over 365.00 utterances.], tot_loss[loss=0.4218, simple_loss=0.4379, pruned_loss=0.2029, over 2782510.90 frames. utt_duration=249 frames, utt_pad_proportion=0.06871, over 44959.39 utterances.], batch size: 365, lr: 1.55e-03
+2022-09-17 03:38:00,953 INFO [train.py:885] (0/2) Epoch 2, batch 5300, loss[loss=0.42, simple_loss=0.4402, pruned_loss=0.1998, over 14274.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04048, over 180.00 utterances.], tot_loss[loss=0.4184, simple_loss=0.4353, pruned_loss=0.2008, over 2784916.63 frames. utt_duration=255 frames, utt_pad_proportion=0.06768, over 43933.19 utterances.], batch size: 180, lr: 1.54e-03
+2022-09-17 03:38:30,176 INFO [train.py:885] (0/2) Epoch 2, batch 5350, loss[loss=0.4524, simple_loss=0.4672, pruned_loss=0.2189, over 14257.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04122, over 225.00 utterances.], tot_loss[loss=0.4255, simple_loss=0.4412, pruned_loss=0.2049, over 2783580.98 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07179, over 46011.93 utterances.], batch size: 225, lr: 1.54e-03
+2022-09-17 03:38:59,964 INFO [train.py:885] (0/2) Epoch 2, batch 5400, loss[loss=0.4428, simple_loss=0.4578, pruned_loss=0.2139, over 14365.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.03501, over 195.00 utterances.], tot_loss[loss=0.4257, simple_loss=0.4419, pruned_loss=0.2048, over 2786578.52 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07044, over 46043.33 utterances.], batch size: 195, lr: 1.54e-03
+2022-09-17 03:39:28,920 INFO [train.py:885] (0/2) Epoch 2, batch 5450, loss[loss=0.3909, simple_loss=0.427, pruned_loss=0.1774, over 14308.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03805, over 180.00 utterances.], tot_loss[loss=0.4278, simple_loss=0.444, pruned_loss=0.2058, over 2788260.16 frames. utt_duration=239.8 frames, utt_pad_proportion=0.06902, over 46797.67 utterances.], batch size: 180, lr: 1.54e-03
+2022-09-17 03:39:58,465 INFO [train.py:885] (0/2) Epoch 2, batch 5500, loss[loss=0.4762, simple_loss=0.4588, pruned_loss=0.2468, over 14209.00 frames. utt_duration=640.1 frames, utt_pad_proportion=0.04598, over 89.00 utterances.], tot_loss[loss=0.4267, simple_loss=0.4427, pruned_loss=0.2054, over 2785731.02 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06979, over 45910.00 utterances.], batch size: 89, lr: 1.54e-03
+2022-09-17 03:40:27,622 INFO [train.py:885] (0/2) Epoch 2, batch 5550, loss[loss=0.3539, simple_loss=0.3835, pruned_loss=0.1621, over 14297.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03838, over 130.00 utterances.], tot_loss[loss=0.4238, simple_loss=0.4401, pruned_loss=0.2038, over 2783244.77 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07086, over 45188.35 utterances.], batch size: 130, lr: 1.53e-03
+2022-09-17 03:40:57,559 INFO [train.py:885] (0/2) Epoch 2, batch 5600, loss[loss=0.3857, simple_loss=0.4238, pruned_loss=0.1738, over 14356.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03848, over 167.00 utterances.], tot_loss[loss=0.4241, simple_loss=0.4406, pruned_loss=0.2038, over 2786676.59 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06926, over 45133.02 utterances.], batch size: 167, lr: 1.53e-03
+2022-09-17 03:41:27,550 INFO [train.py:885] (0/2) Epoch 2, batch 5650, loss[loss=0.263, simple_loss=0.3075, pruned_loss=0.1093, over 13664.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08716, over 42.00 utterances.], tot_loss[loss=0.428, simple_loss=0.4437, pruned_loss=0.2061, over 2780337.15 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07216, over 46466.32 utterances.], batch size: 42, lr: 1.53e-03
+2022-09-17 03:41:56,916 INFO [train.py:885] (0/2) Epoch 2, batch 5700, loss[loss=0.2765, simple_loss=0.2968, pruned_loss=0.1281, over 12253.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.1499, over 24.00 utterances.], tot_loss[loss=0.4203, simple_loss=0.4374, pruned_loss=0.2016, over 2776840.89 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07341, over 44943.10 utterances.], batch size: 24, lr: 1.53e-03
+2022-09-17 03:42:26,540 INFO [train.py:885] (0/2) Epoch 2, batch 5750, loss[loss=0.4992, simple_loss=0.4974, pruned_loss=0.2505, over 14307.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03983, over 262.00 utterances.], tot_loss[loss=0.4183, simple_loss=0.4363, pruned_loss=0.2002, over 2780369.46 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07054, over 44707.09 utterances.], batch size: 262, lr: 1.53e-03
+2022-09-17 03:42:56,179 INFO [train.py:885] (0/2) Epoch 2, batch 5800, loss[loss=0.4666, simple_loss=0.4739, pruned_loss=0.2296, over 14179.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04594, over 306.00 utterances.], tot_loss[loss=0.4204, simple_loss=0.4385, pruned_loss=0.2012, over 2781429.95 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07154, over 45701.91 utterances.], batch size: 306, lr: 1.52e-03
+2022-09-17 03:43:25,243 INFO [train.py:885] (0/2) Epoch 2, batch 5850, loss[loss=0.2571, simple_loss=0.2739, pruned_loss=0.1201, over 13252.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1032, over 33.00 utterances.], tot_loss[loss=0.4134, simple_loss=0.4326, pruned_loss=0.1971, over 2780410.70 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07086, over 43961.58 utterances.], batch size: 33, lr: 1.52e-03
+2022-09-17 03:43:55,385 INFO [train.py:885] (0/2) Epoch 2, batch 5900, loss[loss=0.4842, simple_loss=0.4967, pruned_loss=0.2359, over 14347.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03623, over 226.00 utterances.], tot_loss[loss=0.4218, simple_loss=0.4398, pruned_loss=0.2019, over 2781538.54 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07217, over 45932.79 utterances.], batch size: 226, lr: 1.52e-03
+2022-09-17 03:44:24,370 INFO [train.py:885] (0/2) Epoch 2, batch 5950, loss[loss=0.3491, simple_loss=0.39, pruned_loss=0.1541, over 14331.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03767, over 120.00 utterances.], tot_loss[loss=0.4225, simple_loss=0.4404, pruned_loss=0.2023, over 2781302.59 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07146, over 46013.92 utterances.], batch size: 120, lr: 1.52e-03
+2022-09-17 03:44:53,840 INFO [train.py:885] (0/2) Epoch 2, batch 6000, loss[loss=0.422, simple_loss=0.446, pruned_loss=0.199, over 14309.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03812, over 180.00 utterances.], tot_loss[loss=0.4243, simple_loss=0.4414, pruned_loss=0.2036, over 2782244.52 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07226, over 45722.05 utterances.], batch size: 180, lr: 1.52e-03
+2022-09-17 03:44:53,842 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 03:44:57,970 INFO [train.py:914] (0/2) Epoch 2, validation: loss=0.2658, simple_loss=0.3242, pruned_loss=0.1037, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 03:45:27,116 INFO [train.py:885] (0/2) Epoch 2, batch 6050, loss[loss=0.3258, simple_loss=0.3683, pruned_loss=0.1417, over 14271.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04504, over 110.00 utterances.], tot_loss[loss=0.4249, simple_loss=0.4418, pruned_loss=0.204, over 2783939.86 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06925, over 45820.02 utterances.], batch size: 110, lr: 1.52e-03
+2022-09-17 03:45:56,960 INFO [train.py:885] (0/2) Epoch 2, batch 6100, loss[loss=0.2487, simple_loss=0.2718, pruned_loss=0.1128, over 13576.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.08725, over 42.00 utterances.], tot_loss[loss=0.4223, simple_loss=0.4398, pruned_loss=0.2024, over 2781938.54 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07092, over 45928.52 utterances.], batch size: 42, lr: 1.51e-03
+2022-09-17 03:46:26,987 INFO [train.py:885] (0/2) Epoch 2, batch 6150, loss[loss=0.2957, simple_loss=0.3044, pruned_loss=0.1434, over 13188.00 frames. utt_duration=1288 frames, utt_pad_proportion=0.09845, over 41.00 utterances.], tot_loss[loss=0.4202, simple_loss=0.4379, pruned_loss=0.2013, over 2780423.45 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06914, over 45201.59 utterances.], batch size: 41, lr: 1.51e-03
+2022-09-17 03:46:56,482 INFO [train.py:885] (0/2) Epoch 2, batch 6200, loss[loss=0.5003, simple_loss=0.4982, pruned_loss=0.2512, over 14310.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03972, over 262.00 utterances.], tot_loss[loss=0.419, simple_loss=0.4374, pruned_loss=0.2003, over 2778494.66 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06979, over 45227.21 utterances.], batch size: 262, lr: 1.51e-03
+2022-09-17 03:47:25,813 INFO [train.py:885] (0/2) Epoch 2, batch 6250, loss[loss=0.6711, simple_loss=0.5975, pruned_loss=0.3724, over 14375.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03193, over 244.00 utterances.], tot_loss[loss=0.4169, simple_loss=0.4351, pruned_loss=0.1994, over 2778968.78 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06991, over 44100.08 utterances.], batch size: 244, lr: 1.51e-03
+2022-09-17 03:47:55,401 INFO [train.py:885] (0/2) Epoch 2, batch 6300, loss[loss=0.488, simple_loss=0.4711, pruned_loss=0.2524, over 14293.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.04217, over 141.00 utterances.], tot_loss[loss=0.4272, simple_loss=0.4443, pruned_loss=0.2051, over 2775886.13 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07311, over 47645.00 utterances.], batch size: 141, lr: 1.51e-03
+2022-09-17 03:48:24,572 INFO [train.py:885] (0/2) Epoch 2, batch 6350, loss[loss=0.4529, simple_loss=0.4886, pruned_loss=0.2086, over 13787.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07004, over 411.00 utterances.], tot_loss[loss=0.4303, simple_loss=0.4461, pruned_loss=0.2073, over 2772360.99 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07432, over 48042.02 utterances.], batch size: 411, lr: 1.50e-03
+2022-09-17 03:48:54,165 INFO [train.py:885] (0/2) Epoch 2, batch 6400, loss[loss=0.5034, simple_loss=0.5059, pruned_loss=0.2505, over 14322.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03912, over 262.00 utterances.], tot_loss[loss=0.4279, simple_loss=0.4438, pruned_loss=0.206, over 2775436.61 frames. utt_duration=240 frames, utt_pad_proportion=0.07233, over 46535.90 utterances.], batch size: 262, lr: 1.50e-03
+2022-09-17 03:49:23,475 INFO [train.py:885] (0/2) Epoch 2, batch 6450, loss[loss=0.2211, simple_loss=0.2601, pruned_loss=0.09105, over 13377.00 frames. utt_duration=1623 frames, utt_pad_proportion=0.1027, over 33.00 utterances.], tot_loss[loss=0.4293, simple_loss=0.4451, pruned_loss=0.2067, over 2776068.38 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07295, over 46897.93 utterances.], batch size: 33, lr: 1.50e-03
+2022-09-17 03:49:53,350 INFO [train.py:885] (0/2) Epoch 2, batch 6500, loss[loss=0.3675, simple_loss=0.3999, pruned_loss=0.1676, over 14246.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04557, over 141.00 utterances.], tot_loss[loss=0.4286, simple_loss=0.446, pruned_loss=0.2056, over 2776332.34 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07456, over 48333.63 utterances.], batch size: 141, lr: 1.50e-03
+2022-09-17 03:50:22,392 INFO [train.py:885] (0/2) Epoch 2, batch 6550, loss[loss=0.281, simple_loss=0.3006, pruned_loss=0.1307, over 12410.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1521, over 24.00 utterances.], tot_loss[loss=0.4231, simple_loss=0.441, pruned_loss=0.2026, over 2775035.60 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07432, over 46619.38 utterances.], batch size: 24, lr: 1.50e-03
+2022-09-17 03:50:52,903 INFO [train.py:885] (0/2) Epoch 2, batch 6600, loss[loss=0.3548, simple_loss=0.3907, pruned_loss=0.1594, over 14248.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04561, over 141.00 utterances.], tot_loss[loss=0.431, simple_loss=0.4477, pruned_loss=0.2072, over 2775110.14 frames. utt_duration=228.9 frames, utt_pad_proportion=0.07557, over 48804.08 utterances.], batch size: 141, lr: 1.49e-03
+2022-09-17 03:51:22,334 INFO [train.py:885] (0/2) Epoch 2, batch 6650, loss[loss=0.4563, simple_loss=0.4642, pruned_loss=0.2242, over 14291.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03922, over 180.00 utterances.], tot_loss[loss=0.4328, simple_loss=0.4503, pruned_loss=0.2076, over 2774607.45 frames. utt_duration=221.9 frames, utt_pad_proportion=0.07598, over 50345.87 utterances.], batch size: 180, lr: 1.49e-03
+2022-09-17 03:51:51,459 INFO [train.py:885] (0/2) Epoch 2, batch 6700, loss[loss=0.4634, simple_loss=0.4593, pruned_loss=0.2337, over 14330.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04, over 167.00 utterances.], tot_loss[loss=0.4297, simple_loss=0.4479, pruned_loss=0.2057, over 2779491.40 frames. utt_duration=227.2 frames, utt_pad_proportion=0.07359, over 49252.02 utterances.], batch size: 167, lr: 1.49e-03
+2022-09-17 03:52:20,543 INFO [train.py:885] (0/2) Epoch 2, batch 6750, loss[loss=0.5847, simple_loss=0.5475, pruned_loss=0.3109, over 14242.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04241, over 335.00 utterances.], tot_loss[loss=0.4272, simple_loss=0.4458, pruned_loss=0.2043, over 2777340.38 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07445, over 48783.68 utterances.], batch size: 335, lr: 1.49e-03
+2022-09-17 03:52:50,408 INFO [train.py:885] (0/2) Epoch 2, batch 6800, loss[loss=0.5369, simple_loss=0.5602, pruned_loss=0.2568, over 13623.00 frames. utt_duration=98.69 frames, utt_pad_proportion=0.07764, over 560.00 utterances.], tot_loss[loss=0.4277, simple_loss=0.4463, pruned_loss=0.2046, over 2779624.19 frames. utt_duration=227.8 frames, utt_pad_proportion=0.07307, over 49135.75 utterances.], batch size: 560, lr: 1.49e-03
+2022-09-17 03:53:20,087 INFO [train.py:885] (0/2) Epoch 2, batch 6850, loss[loss=0.3361, simple_loss=0.354, pruned_loss=0.1591, over 13922.00 frames. utt_duration=808.7 frames, utt_pad_proportion=0.05858, over 69.00 utterances.], tot_loss[loss=0.4208, simple_loss=0.4399, pruned_loss=0.2008, over 2778943.90 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07222, over 46613.35 utterances.], batch size: 69, lr: 1.49e-03
+2022-09-17 03:53:49,190 INFO [train.py:885] (0/2) Epoch 2, batch 6900, loss[loss=0.3313, simple_loss=0.3626, pruned_loss=0.15, over 12778.00 frames. utt_duration=2046 frames, utt_pad_proportion=0.1476, over 25.00 utterances.], tot_loss[loss=0.4177, simple_loss=0.4373, pruned_loss=0.1991, over 2779391.93 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07044, over 45605.56 utterances.], batch size: 25, lr: 1.48e-03
+2022-09-17 03:54:18,708 INFO [train.py:885] (0/2) Epoch 2, batch 6950, loss[loss=0.3285, simple_loss=0.3779, pruned_loss=0.1395, over 14319.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03709, over 130.00 utterances.], tot_loss[loss=0.4194, simple_loss=0.4396, pruned_loss=0.1996, over 2781972.51 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07189, over 47325.44 utterances.], batch size: 130, lr: 1.48e-03
+2022-09-17 03:54:48,156 INFO [train.py:885] (0/2) Epoch 2, batch 7000, loss[loss=0.2954, simple_loss=0.322, pruned_loss=0.1344, over 13135.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.115, over 26.00 utterances.], tot_loss[loss=0.4162, simple_loss=0.436, pruned_loss=0.1982, over 2781973.34 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06966, over 45212.16 utterances.], batch size: 26, lr: 1.48e-03
+2022-09-17 03:55:17,644 INFO [train.py:885] (0/2) Epoch 2, batch 7050, loss[loss=0.3712, simple_loss=0.4066, pruned_loss=0.168, over 14313.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04041, over 154.00 utterances.], tot_loss[loss=0.4236, simple_loss=0.4414, pruned_loss=0.2029, over 2776058.77 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07352, over 46868.10 utterances.], batch size: 154, lr: 1.48e-03
+2022-09-17 03:55:46,845 INFO [train.py:885] (0/2) Epoch 2, batch 7100, loss[loss=0.3428, simple_loss=0.3776, pruned_loss=0.154, over 14255.00 frames. utt_duration=476.6 frames, utt_pad_proportion=0.04302, over 120.00 utterances.], tot_loss[loss=0.4178, simple_loss=0.4363, pruned_loss=0.1996, over 2778896.98 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07164, over 45476.75 utterances.], batch size: 120, lr: 1.48e-03
+2022-09-17 03:56:16,311 INFO [train.py:885] (0/2) Epoch 2, batch 7150, loss[loss=0.3036, simple_loss=0.3268, pruned_loss=0.1402, over 13502.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08657, over 50.00 utterances.], tot_loss[loss=0.4153, simple_loss=0.4345, pruned_loss=0.1981, over 2779923.53 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07022, over 45169.90 utterances.], batch size: 50, lr: 1.48e-03
+2022-09-17 03:56:45,550 INFO [train.py:885] (0/2) Epoch 2, batch 7200, loss[loss=0.3038, simple_loss=0.3248, pruned_loss=0.1414, over 12244.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.1523, over 24.00 utterances.], tot_loss[loss=0.4128, simple_loss=0.432, pruned_loss=0.1968, over 2775092.42 frames. utt_duration=253 frames, utt_pad_proportion=0.06995, over 44134.13 utterances.], batch size: 24, lr: 1.47e-03
+2022-09-17 03:57:15,480 INFO [train.py:885] (0/2) Epoch 2, batch 7250, loss[loss=0.25, simple_loss=0.2877, pruned_loss=0.1061, over 12348.00 frames. utt_duration=2060 frames, utt_pad_proportion=0.1514, over 24.00 utterances.], tot_loss[loss=0.4102, simple_loss=0.4293, pruned_loss=0.1956, over 2772073.86 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07007, over 43528.16 utterances.], batch size: 24, lr: 1.47e-03
+2022-09-17 03:57:45,014 INFO [train.py:885] (0/2) Epoch 2, batch 7300, loss[loss=0.2197, simple_loss=0.2474, pruned_loss=0.09594, over 12651.00 frames. utt_duration=2110 frames, utt_pad_proportion=0.1377, over 24.00 utterances.], tot_loss[loss=0.412, simple_loss=0.4309, pruned_loss=0.1966, over 2775955.88 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07039, over 43512.52 utterances.], batch size: 24, lr: 1.47e-03
+2022-09-17 03:58:14,478 INFO [train.py:885] (0/2) Epoch 2, batch 7350, loss[loss=0.4533, simple_loss=0.4673, pruned_loss=0.2197, over 14207.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04632, over 141.00 utterances.], tot_loss[loss=0.4131, simple_loss=0.4312, pruned_loss=0.1975, over 2768241.70 frames. utt_duration=256 frames, utt_pad_proportion=0.07444, over 43505.74 utterances.], batch size: 141, lr: 1.47e-03
+2022-09-17 03:58:40,337 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-20000.pt
+2022-09-17 03:58:53,006 INFO [train.py:885] (0/2) Epoch 2, batch 7400, loss[loss=0.4713, simple_loss=0.5006, pruned_loss=0.221, over 13744.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07311, over 411.00 utterances.], tot_loss[loss=0.4147, simple_loss=0.4328, pruned_loss=0.1984, over 2772162.49 frames. utt_duration=257.2 frames, utt_pad_proportion=0.07171, over 43366.13 utterances.], batch size: 411, lr: 1.47e-03
+2022-09-17 03:59:22,574 INFO [train.py:885] (0/2) Epoch 2, batch 7450, loss[loss=0.4393, simple_loss=0.4612, pruned_loss=0.2087, over 14306.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04155, over 167.00 utterances.], tot_loss[loss=0.4187, simple_loss=0.4362, pruned_loss=0.2006, over 2772496.50 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07261, over 44594.21 utterances.], batch size: 167, lr: 1.46e-03
+2022-09-17 03:59:52,150 INFO [train.py:885] (0/2) Epoch 2, batch 7500, loss[loss=0.6146, simple_loss=0.616, pruned_loss=0.3066, over 13149.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.4211, simple_loss=0.4389, pruned_loss=0.2017, over 2769385.55 frames. utt_duration=241 frames, utt_pad_proportion=0.07395, over 46240.44 utterances.], batch size: 653, lr: 1.46e-03
+2022-09-17 04:00:21,540 INFO [train.py:885] (0/2) Epoch 2, batch 7550, loss[loss=0.4138, simple_loss=0.4389, pruned_loss=0.1943, over 14355.00 frames. utt_duration=220.6 frames, utt_pad_proportion=0.03675, over 262.00 utterances.], tot_loss[loss=0.4212, simple_loss=0.4398, pruned_loss=0.2013, over 2768730.63 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07494, over 46955.59 utterances.], batch size: 262, lr: 1.46e-03
+2022-09-17 04:00:51,292 INFO [train.py:885] (0/2) Epoch 2, batch 7600, loss[loss=0.6278, simple_loss=0.629, pruned_loss=0.3133, over 13100.00 frames. utt_duration=81.76 frames, utt_pad_proportion=0.1113, over 653.00 utterances.], tot_loss[loss=0.4216, simple_loss=0.4396, pruned_loss=0.2018, over 2770326.92 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07418, over 46234.51 utterances.], batch size: 653, lr: 1.46e-03
+2022-09-17 04:01:20,585 INFO [train.py:885] (0/2) Epoch 2, batch 7650, loss[loss=0.452, simple_loss=0.4613, pruned_loss=0.2214, over 14356.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03332, over 244.00 utterances.], tot_loss[loss=0.4225, simple_loss=0.4398, pruned_loss=0.2026, over 2777217.23 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07142, over 45853.30 utterances.], batch size: 244, lr: 1.46e-03
+2022-09-17 04:01:50,428 INFO [train.py:885] (0/2) Epoch 2, batch 7700, loss[loss=0.3646, simple_loss=0.4064, pruned_loss=0.1614, over 14233.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04684, over 141.00 utterances.], tot_loss[loss=0.4215, simple_loss=0.4395, pruned_loss=0.2018, over 2776718.52 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07355, over 46075.68 utterances.], batch size: 141, lr: 1.46e-03
+2022-09-17 04:02:20,175 INFO [train.py:885] (0/2) Epoch 2, batch 7750, loss[loss=0.2832, simple_loss=0.3127, pruned_loss=0.1268, over 13832.00 frames. utt_duration=803.4 frames, utt_pad_proportion=0.06475, over 69.00 utterances.], tot_loss[loss=0.4173, simple_loss=0.4354, pruned_loss=0.1996, over 2780172.51 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07148, over 44464.37 utterances.], batch size: 69, lr: 1.45e-03
+2022-09-17 04:02:49,415 INFO [train.py:885] (0/2) Epoch 2, batch 7800, loss[loss=0.3139, simple_loss=0.3589, pruned_loss=0.1345, over 13517.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08913, over 50.00 utterances.], tot_loss[loss=0.4139, simple_loss=0.433, pruned_loss=0.1975, over 2782312.94 frames. utt_duration=258 frames, utt_pad_proportion=0.07011, over 43378.07 utterances.], batch size: 50, lr: 1.45e-03
+2022-09-17 04:03:18,395 INFO [train.py:885] (0/2) Epoch 2, batch 7850, loss[loss=0.2708, simple_loss=0.3177, pruned_loss=0.112, over 13918.00 frames. utt_duration=929.4 frames, utt_pad_proportion=0.06685, over 60.00 utterances.], tot_loss[loss=0.4152, simple_loss=0.4349, pruned_loss=0.1978, over 2783510.30 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07076, over 44997.21 utterances.], batch size: 60, lr: 1.45e-03
+2022-09-17 04:03:48,376 INFO [train.py:885] (0/2) Epoch 2, batch 7900, loss[loss=0.7625, simple_loss=0.7364, pruned_loss=0.3942, over 12412.00 frames. utt_duration=62.79 frames, utt_pad_proportion=0.1514, over 811.00 utterances.], tot_loss[loss=0.4187, simple_loss=0.4373, pruned_loss=0.2001, over 2778222.84 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07295, over 45511.78 utterances.], batch size: 811, lr: 1.45e-03
+2022-09-17 04:04:17,565 INFO [train.py:885] (0/2) Epoch 2, batch 7950, loss[loss=0.4717, simple_loss=0.4784, pruned_loss=0.2325, over 14192.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04532, over 306.00 utterances.], tot_loss[loss=0.4222, simple_loss=0.4402, pruned_loss=0.2021, over 2784544.17 frames. utt_duration=243.8 frames, utt_pad_proportion=0.0717, over 45971.34 utterances.], batch size: 306, lr: 1.45e-03
+2022-09-17 04:04:46,679 INFO [train.py:885] (0/2) Epoch 2, batch 8000, loss[loss=0.4811, simple_loss=0.4749, pruned_loss=0.2436, over 14246.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04586, over 141.00 utterances.], tot_loss[loss=0.4156, simple_loss=0.4346, pruned_loss=0.1983, over 2780807.18 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07186, over 44705.70 utterances.], batch size: 141, lr: 1.45e-03
+2022-09-17 04:05:16,262 INFO [train.py:885] (0/2) Epoch 2, batch 8050, loss[loss=0.2899, simple_loss=0.332, pruned_loss=0.1239, over 13975.00 frames. utt_duration=709.1 frames, utt_pad_proportion=0.06204, over 79.00 utterances.], tot_loss[loss=0.4178, simple_loss=0.4365, pruned_loss=0.1996, over 2786423.36 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07076, over 44910.28 utterances.], batch size: 79, lr: 1.44e-03
+2022-09-17 04:05:46,641 INFO [train.py:885] (0/2) Epoch 2, batch 8100, loss[loss=0.2492, simple_loss=0.2935, pruned_loss=0.1024, over 13601.00 frames. utt_duration=1328 frames, utt_pad_proportion=0.07271, over 41.00 utterances.], tot_loss[loss=0.4145, simple_loss=0.4338, pruned_loss=0.1976, over 2782527.38 frames. utt_duration=249.3 frames, utt_pad_proportion=0.0715, over 44909.05 utterances.], batch size: 41, lr: 1.44e-03
+2022-09-17 04:06:15,960 INFO [train.py:885] (0/2) Epoch 2, batch 8150, loss[loss=0.4424, simple_loss=0.4615, pruned_loss=0.2116, over 14334.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03708, over 210.00 utterances.], tot_loss[loss=0.415, simple_loss=0.4347, pruned_loss=0.1976, over 2785078.40 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07015, over 45526.02 utterances.], batch size: 210, lr: 1.44e-03
+2022-09-17 04:06:45,536 INFO [train.py:885] (0/2) Epoch 2, batch 8200, loss[loss=0.4641, simple_loss=0.4769, pruned_loss=0.2257, over 14196.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.0448, over 306.00 utterances.], tot_loss[loss=0.4151, simple_loss=0.4347, pruned_loss=0.1977, over 2788183.56 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06819, over 44919.02 utterances.], batch size: 306, lr: 1.44e-03
+2022-09-17 04:07:14,191 INFO [train.py:885] (0/2) Epoch 2, batch 8250, loss[loss=0.4419, simple_loss=0.4676, pruned_loss=0.2081, over 14300.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04067, over 262.00 utterances.], tot_loss[loss=0.4148, simple_loss=0.4337, pruned_loss=0.1979, over 2791870.89 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06545, over 43810.94 utterances.], batch size: 262, lr: 1.44e-03
+2022-09-17 04:07:51,226 INFO [train.py:885] (0/2) Epoch 2, batch 8300, loss[loss=0.5789, simple_loss=0.5463, pruned_loss=0.3058, over 14231.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04329, over 335.00 utterances.], tot_loss[loss=0.4144, simple_loss=0.4327, pruned_loss=0.198, over 2788802.42 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06397, over 43359.97 utterances.], batch size: 335, lr: 1.44e-03
+2022-09-17 04:08:20,623 INFO [train.py:885] (0/2) Epoch 2, batch 8350, loss[loss=0.3226, simple_loss=0.3582, pruned_loss=0.1435, over 14070.00 frames. utt_duration=713.9 frames, utt_pad_proportion=0.05567, over 79.00 utterances.], tot_loss[loss=0.4112, simple_loss=0.43, pruned_loss=0.1962, over 2787732.15 frames. utt_duration=263.3 frames, utt_pad_proportion=0.06571, over 42590.07 utterances.], batch size: 79, lr: 1.43e-03
+2022-09-17 04:08:50,690 INFO [train.py:885] (0/2) Epoch 2, batch 8400, loss[loss=0.274, simple_loss=0.3001, pruned_loss=0.1239, over 13866.00 frames. utt_duration=925.9 frames, utt_pad_proportion=0.07041, over 60.00 utterances.], tot_loss[loss=0.412, simple_loss=0.431, pruned_loss=0.1965, over 2790681.88 frames. utt_duration=265.1 frames, utt_pad_proportion=0.06475, over 42338.63 utterances.], batch size: 60, lr: 1.43e-03
+2022-09-17 04:09:20,786 INFO [train.py:885] (0/2) Epoch 2, batch 8450, loss[loss=0.5592, simple_loss=0.5371, pruned_loss=0.2907, over 14204.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04388, over 306.00 utterances.], tot_loss[loss=0.4116, simple_loss=0.4316, pruned_loss=0.1958, over 2784201.79 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06674, over 43570.58 utterances.], batch size: 306, lr: 1.43e-03
+2022-09-17 04:09:50,050 INFO [train.py:885] (0/2) Epoch 2, batch 8500, loss[loss=0.3469, simple_loss=0.379, pruned_loss=0.1574, over 14173.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04431, over 109.00 utterances.], tot_loss[loss=0.418, simple_loss=0.437, pruned_loss=0.1995, over 2787316.09 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06718, over 44773.73 utterances.], batch size: 109, lr: 1.43e-03
+2022-09-17 04:10:19,167 INFO [train.py:885] (0/2) Epoch 2, batch 8550, loss[loss=0.5251, simple_loss=0.5314, pruned_loss=0.2594, over 13985.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05733, over 365.00 utterances.], tot_loss[loss=0.4109, simple_loss=0.4314, pruned_loss=0.1952, over 2782443.75 frames. utt_duration=259 frames, utt_pad_proportion=0.06763, over 43212.48 utterances.], batch size: 365, lr: 1.43e-03
+2022-09-17 04:10:48,202 INFO [train.py:885] (0/2) Epoch 2, batch 8600, loss[loss=0.5046, simple_loss=0.5004, pruned_loss=0.2544, over 14352.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03391, over 244.00 utterances.], tot_loss[loss=0.4112, simple_loss=0.4322, pruned_loss=0.195, over 2785696.99 frames. utt_duration=257.9 frames, utt_pad_proportion=0.0666, over 43448.90 utterances.], batch size: 244, lr: 1.43e-03
+2022-09-17 04:11:18,978 INFO [train.py:885] (0/2) Epoch 2, batch 8650, loss[loss=0.4715, simple_loss=0.4997, pruned_loss=0.2217, over 13999.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05585, over 365.00 utterances.], tot_loss[loss=0.4124, simple_loss=0.4338, pruned_loss=0.1955, over 2779332.26 frames. utt_duration=248 frames, utt_pad_proportion=0.07072, over 45091.71 utterances.], batch size: 365, lr: 1.43e-03
+2022-09-17 04:11:48,739 INFO [train.py:885] (0/2) Epoch 2, batch 8700, loss[loss=0.4164, simple_loss=0.4453, pruned_loss=0.1937, over 14360.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03551, over 210.00 utterances.], tot_loss[loss=0.4093, simple_loss=0.431, pruned_loss=0.1938, over 2781202.63 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06941, over 43903.39 utterances.], batch size: 210, lr: 1.42e-03
+2022-09-17 04:12:18,117 INFO [train.py:885] (0/2) Epoch 2, batch 8750, loss[loss=0.3107, simple_loss=0.3357, pruned_loss=0.1429, over 13767.00 frames. utt_duration=919.2 frames, utt_pad_proportion=0.0734, over 60.00 utterances.], tot_loss[loss=0.4132, simple_loss=0.4341, pruned_loss=0.1962, over 2779265.75 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07096, over 45035.66 utterances.], batch size: 60, lr: 1.42e-03
+2022-09-17 04:12:47,789 INFO [train.py:885] (0/2) Epoch 2, batch 8800, loss[loss=0.8925, simple_loss=0.816, pruned_loss=0.4844, over 12481.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.1471, over 811.00 utterances.], tot_loss[loss=0.4149, simple_loss=0.436, pruned_loss=0.1969, over 2782584.72 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07152, over 45926.91 utterances.], batch size: 811, lr: 1.42e-03
+2022-09-17 04:13:17,245 INFO [train.py:885] (0/2) Epoch 2, batch 8850, loss[loss=0.2562, simple_loss=0.2786, pruned_loss=0.1169, over 13706.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.07649, over 42.00 utterances.], tot_loss[loss=0.4094, simple_loss=0.4319, pruned_loss=0.1934, over 2786503.31 frames. utt_duration=250 frames, utt_pad_proportion=0.06963, over 44855.22 utterances.], batch size: 42, lr: 1.42e-03
+2022-09-17 04:13:47,035 INFO [train.py:885] (0/2) Epoch 2, batch 8900, loss[loss=0.838, simple_loss=0.7813, pruned_loss=0.4473, over 12527.00 frames. utt_duration=63.43 frames, utt_pad_proportion=0.1428, over 810.00 utterances.], tot_loss[loss=0.4139, simple_loss=0.4353, pruned_loss=0.1962, over 2783351.31 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07235, over 46021.13 utterances.], batch size: 810, lr: 1.42e-03
+2022-09-17 04:14:16,454 INFO [train.py:885] (0/2) Epoch 2, batch 8950, loss[loss=0.3805, simple_loss=0.42, pruned_loss=0.1705, over 14381.00 frames. utt_duration=296.6 frames, utt_pad_proportion=0.03374, over 195.00 utterances.], tot_loss[loss=0.4124, simple_loss=0.434, pruned_loss=0.1954, over 2786616.12 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07122, over 45165.04 utterances.], batch size: 195, lr: 1.42e-03
+2022-09-17 04:14:46,341 INFO [train.py:885] (0/2) Epoch 2, batch 9000, loss[loss=0.4295, simple_loss=0.453, pruned_loss=0.2031, over 14359.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03556, over 210.00 utterances.], tot_loss[loss=0.4091, simple_loss=0.4308, pruned_loss=0.1937, over 2782716.93 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07327, over 44629.02 utterances.], batch size: 210, lr: 1.41e-03
+2022-09-17 04:14:46,343 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 04:14:50,978 INFO [train.py:914] (0/2) Epoch 2, validation: loss=0.267, simple_loss=0.3254, pruned_loss=0.1043, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 04:15:20,850 INFO [train.py:885] (0/2) Epoch 2, batch 9050, loss[loss=0.2513, simple_loss=0.2913, pruned_loss=0.1057, over 12116.00 frames. utt_duration=2021 frames, utt_pad_proportion=0.163, over 24.00 utterances.], tot_loss[loss=0.4144, simple_loss=0.4355, pruned_loss=0.1967, over 2781970.19 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07179, over 45597.80 utterances.], batch size: 24, lr: 1.41e-03
+2022-09-17 04:15:51,037 INFO [train.py:885] (0/2) Epoch 2, batch 9100, loss[loss=0.4065, simple_loss=0.4393, pruned_loss=0.1869, over 14288.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03944, over 180.00 utterances.], tot_loss[loss=0.412, simple_loss=0.4334, pruned_loss=0.1953, over 2782505.10 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07156, over 45475.28 utterances.], batch size: 180, lr: 1.41e-03
+2022-09-17 04:16:20,578 INFO [train.py:885] (0/2) Epoch 2, batch 9150, loss[loss=0.4497, simple_loss=0.4945, pruned_loss=0.2024, over 13768.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07153, over 411.00 utterances.], tot_loss[loss=0.4131, simple_loss=0.4355, pruned_loss=0.1954, over 2783495.96 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07149, over 46716.85 utterances.], batch size: 411, lr: 1.41e-03
+2022-09-17 04:16:49,538 INFO [train.py:885] (0/2) Epoch 2, batch 9200, loss[loss=0.3418, simple_loss=0.3724, pruned_loss=0.1557, over 14094.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.05295, over 98.00 utterances.], tot_loss[loss=0.4118, simple_loss=0.434, pruned_loss=0.1948, over 2784311.48 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07084, over 45815.22 utterances.], batch size: 98, lr: 1.41e-03
+2022-09-17 04:17:19,237 INFO [train.py:885] (0/2) Epoch 2, batch 9250, loss[loss=0.3426, simple_loss=0.3763, pruned_loss=0.1545, over 14194.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.04369, over 109.00 utterances.], tot_loss[loss=0.4093, simple_loss=0.4323, pruned_loss=0.1931, over 2782999.04 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07082, over 46046.78 utterances.], batch size: 109, lr: 1.41e-03
+2022-09-17 04:17:48,750 INFO [train.py:885] (0/2) Epoch 2, batch 9300, loss[loss=0.2488, simple_loss=0.2679, pruned_loss=0.1148, over 13027.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1248, over 33.00 utterances.], tot_loss[loss=0.4068, simple_loss=0.4291, pruned_loss=0.1923, over 2780515.15 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07061, over 44437.85 utterances.], batch size: 33, lr: 1.41e-03
+2022-09-17 04:18:18,789 INFO [train.py:885] (0/2) Epoch 2, batch 9350, loss[loss=0.2548, simple_loss=0.2937, pruned_loss=0.1079, over 13440.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.09311, over 50.00 utterances.], tot_loss[loss=0.4061, simple_loss=0.4292, pruned_loss=0.1915, over 2778731.93 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07115, over 45054.35 utterances.], batch size: 50, lr: 1.40e-03
+2022-09-17 04:18:48,223 INFO [train.py:885] (0/2) Epoch 2, batch 9400, loss[loss=0.3047, simple_loss=0.3233, pruned_loss=0.1431, over 12282.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1693, over 24.00 utterances.], tot_loss[loss=0.4029, simple_loss=0.4264, pruned_loss=0.1896, over 2774863.06 frames. utt_duration=254 frames, utt_pad_proportion=0.07005, over 43953.77 utterances.], batch size: 24, lr: 1.40e-03
+2022-09-17 04:19:17,419 INFO [train.py:885] (0/2) Epoch 2, batch 9450, loss[loss=0.2628, simple_loss=0.3086, pruned_loss=0.1085, over 13829.00 frames. utt_duration=803.2 frames, utt_pad_proportion=0.06492, over 69.00 utterances.], tot_loss[loss=0.4047, simple_loss=0.4281, pruned_loss=0.1906, over 2779977.48 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07063, over 43815.48 utterances.], batch size: 69, lr: 1.40e-03
+2022-09-17 04:19:46,998 INFO [train.py:885] (0/2) Epoch 2, batch 9500, loss[loss=0.4684, simple_loss=0.4825, pruned_loss=0.2272, over 14343.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03763, over 262.00 utterances.], tot_loss[loss=0.402, simple_loss=0.4265, pruned_loss=0.1887, over 2772913.14 frames. utt_duration=252.7 frames, utt_pad_proportion=0.0713, over 44150.62 utterances.], batch size: 262, lr: 1.40e-03
+2022-09-17 04:20:16,834 INFO [train.py:885] (0/2) Epoch 2, batch 9550, loss[loss=0.9534, simple_loss=0.8733, pruned_loss=0.5167, over 12442.00 frames. utt_duration=63.04 frames, utt_pad_proportion=0.1481, over 810.00 utterances.], tot_loss[loss=0.4006, simple_loss=0.4252, pruned_loss=0.188, over 2769422.99 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07193, over 44329.79 utterances.], batch size: 810, lr: 1.40e-03
+2022-09-17 04:20:45,830 INFO [train.py:885] (0/2) Epoch 2, batch 9600, loss[loss=0.4417, simple_loss=0.4528, pruned_loss=0.2153, over 14289.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04015, over 283.00 utterances.], tot_loss[loss=0.404, simple_loss=0.4278, pruned_loss=0.1901, over 2770813.82 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07256, over 44741.31 utterances.], batch size: 283, lr: 1.40e-03
+2022-09-17 04:21:15,657 INFO [train.py:885] (0/2) Epoch 2, batch 9650, loss[loss=0.7694, simple_loss=0.7461, pruned_loss=0.3964, over 12412.00 frames. utt_duration=62.86 frames, utt_pad_proportion=0.1506, over 810.00 utterances.], tot_loss[loss=0.4086, simple_loss=0.4321, pruned_loss=0.1925, over 2770828.75 frames. utt_duration=241 frames, utt_pad_proportion=0.07519, over 46276.38 utterances.], batch size: 810, lr: 1.39e-03
+2022-09-17 04:21:45,557 INFO [train.py:885] (0/2) Epoch 2, batch 9700, loss[loss=0.4015, simple_loss=0.4315, pruned_loss=0.1857, over 14314.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03767, over 180.00 utterances.], tot_loss[loss=0.4087, simple_loss=0.4322, pruned_loss=0.1926, over 2771281.87 frames. utt_duration=241 frames, utt_pad_proportion=0.07433, over 46276.42 utterances.], batch size: 180, lr: 1.39e-03
+2022-09-17 04:22:14,980 INFO [train.py:885] (0/2) Epoch 2, batch 9750, loss[loss=0.4005, simple_loss=0.4329, pruned_loss=0.1841, over 14359.00 frames. utt_duration=443 frames, utt_pad_proportion=0.03702, over 130.00 utterances.], tot_loss[loss=0.4077, simple_loss=0.4313, pruned_loss=0.192, over 2775604.19 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07342, over 46129.61 utterances.], batch size: 130, lr: 1.39e-03
+2022-09-17 04:22:45,083 INFO [train.py:885] (0/2) Epoch 2, batch 9800, loss[loss=0.2098, simple_loss=0.2363, pruned_loss=0.09162, over 13276.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.1093, over 33.00 utterances.], tot_loss[loss=0.4113, simple_loss=0.4343, pruned_loss=0.1941, over 2773559.18 frames. utt_duration=236 frames, utt_pad_proportion=0.07512, over 47302.40 utterances.], batch size: 33, lr: 1.39e-03
+2022-09-17 04:23:14,234 INFO [train.py:885] (0/2) Epoch 2, batch 9850, loss[loss=0.4183, simple_loss=0.4382, pruned_loss=0.1992, over 14213.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04823, over 141.00 utterances.], tot_loss[loss=0.4118, simple_loss=0.4354, pruned_loss=0.1941, over 2778171.38 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07252, over 47357.55 utterances.], batch size: 141, lr: 1.39e-03
+2022-09-17 04:23:44,252 INFO [train.py:885] (0/2) Epoch 2, batch 9900, loss[loss=0.4093, simple_loss=0.4403, pruned_loss=0.1891, over 14359.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03712, over 244.00 utterances.], tot_loss[loss=0.4079, simple_loss=0.432, pruned_loss=0.1919, over 2778054.04 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07302, over 47089.61 utterances.], batch size: 244, lr: 1.39e-03
+2022-09-17 04:24:13,519 INFO [train.py:885] (0/2) Epoch 2, batch 9950, loss[loss=0.5026, simple_loss=0.5215, pruned_loss=0.2418, over 14036.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05398, over 365.00 utterances.], tot_loss[loss=0.4076, simple_loss=0.4318, pruned_loss=0.1917, over 2784167.87 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06955, over 45975.20 utterances.], batch size: 365, lr: 1.39e-03
+2022-09-17 04:24:49,571 INFO [train.py:885] (0/2) Epoch 2, batch 10000, loss[loss=0.3926, simple_loss=0.41, pruned_loss=0.1876, over 14315.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.0369, over 130.00 utterances.], tot_loss[loss=0.4073, simple_loss=0.4312, pruned_loss=0.1917, over 2780713.80 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07029, over 45498.43 utterances.], batch size: 130, lr: 1.38e-03
+2022-09-17 04:25:19,339 INFO [train.py:885] (0/2) Epoch 2, batch 10050, loss[loss=0.4092, simple_loss=0.4267, pruned_loss=0.1958, over 14345.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.03521, over 130.00 utterances.], tot_loss[loss=0.4068, simple_loss=0.4306, pruned_loss=0.1915, over 2781305.72 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07061, over 44977.06 utterances.], batch size: 130, lr: 1.38e-03
+2022-09-17 04:25:48,885 INFO [train.py:885] (0/2) Epoch 2, batch 10100, loss[loss=0.2816, simple_loss=0.3196, pruned_loss=0.1218, over 12134.00 frames. utt_duration=2023 frames, utt_pad_proportion=0.1666, over 24.00 utterances.], tot_loss[loss=0.4049, simple_loss=0.4288, pruned_loss=0.1905, over 2772895.05 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07238, over 44513.00 utterances.], batch size: 24, lr: 1.38e-03
+2022-09-17 04:26:18,718 INFO [train.py:885] (0/2) Epoch 2, batch 10150, loss[loss=0.3933, simple_loss=0.4306, pruned_loss=0.178, over 14295.00 frames. utt_duration=294.8 frames, utt_pad_proportion=0.03961, over 195.00 utterances.], tot_loss[loss=0.4054, simple_loss=0.429, pruned_loss=0.1909, over 2773115.80 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07226, over 44519.44 utterances.], batch size: 195, lr: 1.38e-03
+2022-09-17 04:26:48,206 INFO [train.py:885] (0/2) Epoch 2, batch 10200, loss[loss=0.3858, simple_loss=0.4165, pruned_loss=0.1775, over 14277.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04347, over 141.00 utterances.], tot_loss[loss=0.4072, simple_loss=0.4315, pruned_loss=0.1915, over 2773826.29 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07392, over 46033.82 utterances.], batch size: 141, lr: 1.38e-03
+2022-09-17 04:27:17,873 INFO [train.py:885] (0/2) Epoch 2, batch 10250, loss[loss=0.3694, simple_loss=0.4093, pruned_loss=0.1647, over 14220.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04788, over 141.00 utterances.], tot_loss[loss=0.4077, simple_loss=0.4315, pruned_loss=0.1919, over 2775196.01 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07272, over 45237.94 utterances.], batch size: 141, lr: 1.38e-03
+2022-09-17 04:27:46,921 INFO [train.py:885] (0/2) Epoch 2, batch 10300, loss[loss=0.5593, simple_loss=0.5343, pruned_loss=0.2922, over 14250.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04201, over 335.00 utterances.], tot_loss[loss=0.4073, simple_loss=0.4314, pruned_loss=0.1916, over 2780273.23 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07127, over 45148.84 utterances.], batch size: 335, lr: 1.38e-03
+2022-09-17 04:28:17,046 INFO [train.py:885] (0/2) Epoch 2, batch 10350, loss[loss=0.4796, simple_loss=0.5049, pruned_loss=0.2271, over 13807.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06901, over 411.00 utterances.], tot_loss[loss=0.4053, simple_loss=0.4297, pruned_loss=0.1905, over 2775679.83 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07114, over 44574.99 utterances.], batch size: 411, lr: 1.37e-03
+2022-09-17 04:28:46,391 INFO [train.py:885] (0/2) Epoch 2, batch 10400, loss[loss=0.4356, simple_loss=0.4549, pruned_loss=0.2082, over 14369.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.0369, over 196.00 utterances.], tot_loss[loss=0.401, simple_loss=0.4253, pruned_loss=0.1884, over 2776882.77 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06976, over 43253.37 utterances.], batch size: 196, lr: 1.37e-03
+2022-09-17 04:29:15,610 INFO [train.py:885] (0/2) Epoch 2, batch 10450, loss[loss=0.2679, simple_loss=0.313, pruned_loss=0.1115, over 14224.00 frames. utt_duration=640.6 frames, utt_pad_proportion=0.04525, over 89.00 utterances.], tot_loss[loss=0.4033, simple_loss=0.4268, pruned_loss=0.1899, over 2776620.77 frames. utt_duration=256.9 frames, utt_pad_proportion=0.0704, over 43490.99 utterances.], batch size: 89, lr: 1.37e-03
+2022-09-17 04:29:44,991 INFO [train.py:885] (0/2) Epoch 2, batch 10500, loss[loss=0.4454, simple_loss=0.4593, pruned_loss=0.2157, over 14336.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03734, over 210.00 utterances.], tot_loss[loss=0.4031, simple_loss=0.4264, pruned_loss=0.1899, over 2781386.91 frames. utt_duration=261.1 frames, utt_pad_proportion=0.06806, over 42852.60 utterances.], batch size: 210, lr: 1.37e-03
+2022-09-17 04:30:14,499 INFO [train.py:885] (0/2) Epoch 2, batch 10550, loss[loss=0.3203, simple_loss=0.3647, pruned_loss=0.138, over 14242.00 frames. utt_duration=476.2 frames, utt_pad_proportion=0.04374, over 120.00 utterances.], tot_loss[loss=0.4051, simple_loss=0.4283, pruned_loss=0.191, over 2780255.88 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07071, over 43813.44 utterances.], batch size: 120, lr: 1.37e-03
+2022-09-17 04:30:44,675 INFO [train.py:885] (0/2) Epoch 2, batch 10600, loss[loss=0.9037, simple_loss=0.8409, pruned_loss=0.4833, over 12349.00 frames. utt_duration=62.61 frames, utt_pad_proportion=0.1539, over 810.00 utterances.], tot_loss[loss=0.407, simple_loss=0.43, pruned_loss=0.192, over 2778711.80 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07146, over 44458.67 utterances.], batch size: 810, lr: 1.37e-03
+2022-09-17 04:31:13,337 INFO [train.py:885] (0/2) Epoch 2, batch 10650, loss[loss=0.2945, simple_loss=0.3292, pruned_loss=0.13, over 13799.00 frames. utt_duration=801.4 frames, utt_pad_proportion=0.06708, over 69.00 utterances.], tot_loss[loss=0.4039, simple_loss=0.4281, pruned_loss=0.1898, over 2779767.82 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06848, over 43622.90 utterances.], batch size: 69, lr: 1.37e-03
+2022-09-17 04:31:42,778 INFO [train.py:885] (0/2) Epoch 2, batch 10700, loss[loss=0.2611, simple_loss=0.3107, pruned_loss=0.1058, over 13785.00 frames. utt_duration=920.3 frames, utt_pad_proportion=0.07511, over 60.00 utterances.], tot_loss[loss=0.4018, simple_loss=0.4264, pruned_loss=0.1886, over 2782924.42 frames. utt_duration=261 frames, utt_pad_proportion=0.06879, over 42891.84 utterances.], batch size: 60, lr: 1.36e-03
+2022-09-17 04:32:12,303 INFO [train.py:885] (0/2) Epoch 2, batch 10750, loss[loss=0.523, simple_loss=0.5135, pruned_loss=0.2662, over 14323.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03782, over 283.00 utterances.], tot_loss[loss=0.399, simple_loss=0.4244, pruned_loss=0.1868, over 2783232.15 frames. utt_duration=262.1 frames, utt_pad_proportion=0.06767, over 42715.68 utterances.], batch size: 283, lr: 1.36e-03
+2022-09-17 04:32:41,824 INFO [train.py:885] (0/2) Epoch 2, batch 10800, loss[loss=0.363, simple_loss=0.4021, pruned_loss=0.162, over 14305.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03799, over 130.00 utterances.], tot_loss[loss=0.3985, simple_loss=0.4241, pruned_loss=0.1864, over 2782101.11 frames. utt_duration=261.3 frames, utt_pad_proportion=0.06982, over 42835.66 utterances.], batch size: 130, lr: 1.36e-03
+2022-09-17 04:33:11,707 INFO [train.py:885] (0/2) Epoch 2, batch 10850, loss[loss=0.4681, simple_loss=0.4803, pruned_loss=0.228, over 14337.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.03692, over 226.00 utterances.], tot_loss[loss=0.3984, simple_loss=0.4245, pruned_loss=0.1861, over 2783401.24 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06903, over 43424.79 utterances.], batch size: 226, lr: 1.36e-03
+2022-09-17 04:33:41,468 INFO [train.py:885] (0/2) Epoch 2, batch 10900, loss[loss=0.2692, simple_loss=0.3087, pruned_loss=0.1149, over 12695.00 frames. utt_duration=1540 frames, utt_pad_proportion=0.1476, over 33.00 utterances.], tot_loss[loss=0.3989, simple_loss=0.4246, pruned_loss=0.1865, over 2783846.60 frames. utt_duration=262.3 frames, utt_pad_proportion=0.06691, over 42698.89 utterances.], batch size: 33, lr: 1.36e-03
+2022-09-17 04:34:10,491 INFO [train.py:885] (0/2) Epoch 2, batch 10950, loss[loss=0.4176, simple_loss=0.4708, pruned_loss=0.1822, over 13765.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07456, over 412.00 utterances.], tot_loss[loss=0.4012, simple_loss=0.4267, pruned_loss=0.1878, over 2783758.89 frames. utt_duration=254 frames, utt_pad_proportion=0.06771, over 44088.41 utterances.], batch size: 412, lr: 1.36e-03
+2022-09-17 04:34:41,060 INFO [train.py:885] (0/2) Epoch 2, batch 11000, loss[loss=0.7675, simple_loss=0.7282, pruned_loss=0.4035, over 12488.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1478, over 811.00 utterances.], tot_loss[loss=0.4058, simple_loss=0.4307, pruned_loss=0.1905, over 2780865.69 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07099, over 46227.66 utterances.], batch size: 811, lr: 1.36e-03
+2022-09-17 04:35:10,098 INFO [train.py:885] (0/2) Epoch 2, batch 11050, loss[loss=0.4794, simple_loss=0.4837, pruned_loss=0.2376, over 14315.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03845, over 195.00 utterances.], tot_loss[loss=0.3982, simple_loss=0.4237, pruned_loss=0.1863, over 2777417.85 frames. utt_duration=254 frames, utt_pad_proportion=0.06954, over 43999.33 utterances.], batch size: 195, lr: 1.35e-03
+2022-09-17 04:35:47,416 INFO [train.py:885] (0/2) Epoch 2, batch 11100, loss[loss=0.3904, simple_loss=0.4163, pruned_loss=0.1822, over 14303.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04113, over 154.00 utterances.], tot_loss[loss=0.4073, simple_loss=0.4315, pruned_loss=0.1916, over 2774141.07 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07341, over 46834.89 utterances.], batch size: 154, lr: 1.35e-03
+2022-09-17 04:36:17,040 INFO [train.py:885] (0/2) Epoch 2, batch 11150, loss[loss=0.4484, simple_loss=0.4697, pruned_loss=0.2136, over 14345.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03646, over 210.00 utterances.], tot_loss[loss=0.4025, simple_loss=0.4277, pruned_loss=0.1886, over 2779230.41 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07188, over 45580.55 utterances.], batch size: 210, lr: 1.35e-03
+2022-09-17 04:36:46,351 INFO [train.py:885] (0/2) Epoch 2, batch 11200, loss[loss=0.2812, simple_loss=0.3128, pruned_loss=0.1249, over 12991.00 frames. utt_duration=1577 frames, utt_pad_proportion=0.128, over 33.00 utterances.], tot_loss[loss=0.3984, simple_loss=0.4248, pruned_loss=0.186, over 2779610.64 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07011, over 44840.16 utterances.], batch size: 33, lr: 1.35e-03
+2022-09-17 04:37:15,756 INFO [train.py:885] (0/2) Epoch 2, batch 11250, loss[loss=0.4619, simple_loss=0.4698, pruned_loss=0.227, over 14407.00 frames. utt_duration=237.6 frames, utt_pad_proportion=0.03034, over 244.00 utterances.], tot_loss[loss=0.3974, simple_loss=0.4236, pruned_loss=0.1856, over 2779198.13 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07055, over 44216.26 utterances.], batch size: 244, lr: 1.35e-03
+2022-09-17 04:37:45,526 INFO [train.py:885] (0/2) Epoch 2, batch 11300, loss[loss=0.4467, simple_loss=0.4686, pruned_loss=0.2124, over 14195.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04533, over 306.00 utterances.], tot_loss[loss=0.4002, simple_loss=0.4253, pruned_loss=0.1875, over 2782000.15 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06968, over 44859.51 utterances.], batch size: 306, lr: 1.35e-03
+2022-09-17 04:38:15,217 INFO [train.py:885] (0/2) Epoch 2, batch 11350, loss[loss=0.4171, simple_loss=0.441, pruned_loss=0.1966, over 14261.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.04142, over 154.00 utterances.], tot_loss[loss=0.4041, simple_loss=0.4285, pruned_loss=0.1898, over 2785315.71 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06887, over 45037.92 utterances.], batch size: 154, lr: 1.35e-03
+2022-09-17 04:38:32,312 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-24000.pt
+2022-09-17 04:38:45,348 INFO [train.py:885] (0/2) Epoch 2, batch 11400, loss[loss=0.4014, simple_loss=0.4363, pruned_loss=0.1832, over 14335.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03698, over 210.00 utterances.], tot_loss[loss=0.4029, simple_loss=0.4286, pruned_loss=0.1886, over 2779270.94 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07313, over 46131.50 utterances.], batch size: 210, lr: 1.35e-03
+2022-09-17 04:39:14,934 INFO [train.py:885] (0/2) Epoch 2, batch 11450, loss[loss=0.4682, simple_loss=0.4989, pruned_loss=0.2188, over 14013.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05521, over 365.00 utterances.], tot_loss[loss=0.4013, simple_loss=0.4273, pruned_loss=0.1876, over 2783838.23 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07109, over 45426.99 utterances.], batch size: 365, lr: 1.34e-03
+2022-09-17 04:39:43,914 INFO [train.py:885] (0/2) Epoch 2, batch 11500, loss[loss=0.4685, simple_loss=0.4769, pruned_loss=0.23, over 14345.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03449, over 244.00 utterances.], tot_loss[loss=0.402, simple_loss=0.4278, pruned_loss=0.1881, over 2783952.77 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07136, over 45876.31 utterances.], batch size: 244, lr: 1.34e-03
+2022-09-17 04:40:13,588 INFO [train.py:885] (0/2) Epoch 2, batch 11550, loss[loss=0.2414, simple_loss=0.2569, pruned_loss=0.113, over 13839.00 frames. utt_duration=924.1 frames, utt_pad_proportion=0.07029, over 60.00 utterances.], tot_loss[loss=0.3975, simple_loss=0.4236, pruned_loss=0.1857, over 2785107.36 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06963, over 44377.75 utterances.], batch size: 60, lr: 1.34e-03
+2022-09-17 04:40:42,972 INFO [train.py:885] (0/2) Epoch 2, batch 11600, loss[loss=0.5464, simple_loss=0.5277, pruned_loss=0.2825, over 14320.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03867, over 283.00 utterances.], tot_loss[loss=0.4014, simple_loss=0.4275, pruned_loss=0.1876, over 2783843.09 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07026, over 45654.94 utterances.], batch size: 283, lr: 1.34e-03
+2022-09-17 04:41:12,555 INFO [train.py:885] (0/2) Epoch 2, batch 11650, loss[loss=0.3989, simple_loss=0.4244, pruned_loss=0.1867, over 14310.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03758, over 180.00 utterances.], tot_loss[loss=0.407, simple_loss=0.4328, pruned_loss=0.1906, over 2784146.32 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07114, over 47426.92 utterances.], batch size: 180, lr: 1.34e-03
+2022-09-17 04:41:42,451 INFO [train.py:885] (0/2) Epoch 2, batch 11700, loss[loss=0.452, simple_loss=0.4752, pruned_loss=0.2144, over 14331.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03774, over 226.00 utterances.], tot_loss[loss=0.4076, simple_loss=0.4327, pruned_loss=0.1913, over 2782055.79 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07185, over 47129.78 utterances.], batch size: 226, lr: 1.34e-03
+2022-09-17 04:42:11,909 INFO [train.py:885] (0/2) Epoch 2, batch 11750, loss[loss=0.2446, simple_loss=0.2962, pruned_loss=0.09655, over 13379.00 frames. utt_duration=1072 frames, utt_pad_proportion=0.09872, over 50.00 utterances.], tot_loss[loss=0.4053, simple_loss=0.4313, pruned_loss=0.1896, over 2782924.97 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07025, over 46425.58 utterances.], batch size: 50, lr: 1.34e-03
+2022-09-17 04:42:49,054 INFO [train.py:885] (0/2) Epoch 2, batch 11800, loss[loss=0.3959, simple_loss=0.4231, pruned_loss=0.1843, over 14323.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03885, over 130.00 utterances.], tot_loss[loss=0.4024, simple_loss=0.4284, pruned_loss=0.1882, over 2785566.54 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06872, over 45256.75 utterances.], batch size: 130, lr: 1.33e-03
+2022-09-17 04:43:19,257 INFO [train.py:885] (0/2) Epoch 2, batch 11850, loss[loss=0.5265, simple_loss=0.5109, pruned_loss=0.271, over 14233.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.0419, over 306.00 utterances.], tot_loss[loss=0.4042, simple_loss=0.4296, pruned_loss=0.1894, over 2784860.59 frames. utt_duration=244 frames, utt_pad_proportion=0.06894, over 45927.71 utterances.], batch size: 306, lr: 1.33e-03
+2022-09-17 04:43:48,819 INFO [train.py:885] (0/2) Epoch 2, batch 11900, loss[loss=0.4076, simple_loss=0.42, pruned_loss=0.1976, over 14335.00 frames. utt_duration=479.5 frames, utt_pad_proportion=0.03717, over 120.00 utterances.], tot_loss[loss=0.4038, simple_loss=0.4295, pruned_loss=0.1891, over 2788480.87 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06833, over 45554.80 utterances.], batch size: 120, lr: 1.33e-03
+2022-09-17 04:44:17,889 INFO [train.py:885] (0/2) Epoch 2, batch 11950, loss[loss=0.4767, simple_loss=0.4917, pruned_loss=0.2309, over 14352.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03579, over 210.00 utterances.], tot_loss[loss=0.401, simple_loss=0.4267, pruned_loss=0.1876, over 2788752.30 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06772, over 44584.72 utterances.], batch size: 210, lr: 1.33e-03
+2022-09-17 04:44:46,814 INFO [train.py:885] (0/2) Epoch 2, batch 12000, loss[loss=0.3459, simple_loss=0.3725, pruned_loss=0.1596, over 14030.00 frames. utt_duration=574 frames, utt_pad_proportion=0.05749, over 98.00 utterances.], tot_loss[loss=0.4001, simple_loss=0.4255, pruned_loss=0.1873, over 2784370.19 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06902, over 43994.80 utterances.], batch size: 98, lr: 1.33e-03
+2022-09-17 04:44:46,816 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 04:44:50,943 INFO [train.py:914] (0/2) Epoch 2, validation: loss=0.25, simple_loss=0.3137, pruned_loss=0.09315, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 04:45:20,525 INFO [train.py:885] (0/2) Epoch 2, batch 12050, loss[loss=0.3327, simple_loss=0.3743, pruned_loss=0.1455, over 14197.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04307, over 109.00 utterances.], tot_loss[loss=0.4033, simple_loss=0.4283, pruned_loss=0.1892, over 2780014.47 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07199, over 45312.08 utterances.], batch size: 109, lr: 1.33e-03
+2022-09-17 04:45:50,452 INFO [train.py:885] (0/2) Epoch 2, batch 12100, loss[loss=0.3872, simple_loss=0.4046, pruned_loss=0.1849, over 14182.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04436, over 109.00 utterances.], tot_loss[loss=0.4016, simple_loss=0.4271, pruned_loss=0.1881, over 2778225.59 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07347, over 45343.37 utterances.], batch size: 109, lr: 1.33e-03
+2022-09-17 04:46:20,171 INFO [train.py:885] (0/2) Epoch 2, batch 12150, loss[loss=0.2722, simple_loss=0.3197, pruned_loss=0.1123, over 14036.00 frames. utt_duration=712.1 frames, utt_pad_proportion=0.05803, over 79.00 utterances.], tot_loss[loss=0.4077, simple_loss=0.4325, pruned_loss=0.1914, over 2779247.08 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07437, over 47216.59 utterances.], batch size: 79, lr: 1.33e-03
+2022-09-17 04:46:49,616 INFO [train.py:885] (0/2) Epoch 2, batch 12200, loss[loss=0.3614, simple_loss=0.4019, pruned_loss=0.1605, over 14234.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04622, over 141.00 utterances.], tot_loss[loss=0.4056, simple_loss=0.4309, pruned_loss=0.1902, over 2780834.06 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07333, over 46260.30 utterances.], batch size: 141, lr: 1.32e-03
+2022-09-17 04:47:19,639 INFO [train.py:885] (0/2) Epoch 2, batch 12250, loss[loss=0.5513, simple_loss=0.5816, pruned_loss=0.2605, over 13122.00 frames. utt_duration=81.91 frames, utt_pad_proportion=0.1097, over 653.00 utterances.], tot_loss[loss=0.414, simple_loss=0.4373, pruned_loss=0.1954, over 2775688.66 frames. utt_duration=229.1 frames, utt_pad_proportion=0.07613, over 48773.51 utterances.], batch size: 653, lr: 1.32e-03
+2022-09-17 04:47:48,903 INFO [train.py:885] (0/2) Epoch 2, batch 12300, loss[loss=0.2885, simple_loss=0.3296, pruned_loss=0.1238, over 13436.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.09251, over 50.00 utterances.], tot_loss[loss=0.4107, simple_loss=0.4345, pruned_loss=0.1935, over 2773969.37 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07665, over 48644.31 utterances.], batch size: 50, lr: 1.32e-03
+2022-09-17 04:48:18,137 INFO [train.py:885] (0/2) Epoch 2, batch 12350, loss[loss=0.3589, simple_loss=0.3997, pruned_loss=0.1591, over 14356.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.03835, over 141.00 utterances.], tot_loss[loss=0.4113, simple_loss=0.4346, pruned_loss=0.1939, over 2773420.70 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07661, over 48024.33 utterances.], batch size: 141, lr: 1.32e-03
+2022-09-17 04:48:47,666 INFO [train.py:885] (0/2) Epoch 2, batch 12400, loss[loss=0.5133, simple_loss=0.5202, pruned_loss=0.2533, over 13977.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.0572, over 365.00 utterances.], tot_loss[loss=0.4046, simple_loss=0.4292, pruned_loss=0.19, over 2778523.57 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07334, over 46227.59 utterances.], batch size: 365, lr: 1.32e-03
+2022-09-17 04:49:17,347 INFO [train.py:885] (0/2) Epoch 2, batch 12450, loss[loss=0.3907, simple_loss=0.4231, pruned_loss=0.1792, over 14247.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.04469, over 154.00 utterances.], tot_loss[loss=0.4054, simple_loss=0.4299, pruned_loss=0.1904, over 2780436.77 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07254, over 46384.53 utterances.], batch size: 154, lr: 1.32e-03
+2022-09-17 04:49:46,660 INFO [train.py:885] (0/2) Epoch 2, batch 12500, loss[loss=0.2674, simple_loss=0.3309, pruned_loss=0.1019, over 13696.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.0798, over 42.00 utterances.], tot_loss[loss=0.4039, simple_loss=0.4296, pruned_loss=0.1891, over 2779611.09 frames. utt_duration=240 frames, utt_pad_proportion=0.07364, over 46615.95 utterances.], batch size: 42, lr: 1.32e-03
+2022-09-17 04:50:15,621 INFO [train.py:885] (0/2) Epoch 2, batch 12550, loss[loss=0.1956, simple_loss=0.2258, pruned_loss=0.08271, over 13185.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1157, over 33.00 utterances.], tot_loss[loss=0.4038, simple_loss=0.4293, pruned_loss=0.1892, over 2779047.11 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07265, over 46339.30 utterances.], batch size: 33, lr: 1.32e-03
+2022-09-17 04:50:43,267 INFO [train.py:885] (0/2) Epoch 2, batch 12600, loss[loss=0.3723, simple_loss=0.4106, pruned_loss=0.167, over 14327.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04015, over 167.00 utterances.], tot_loss[loss=0.4015, simple_loss=0.4278, pruned_loss=0.1876, over 2787278.63 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06961, over 45281.19 utterances.], batch size: 167, lr: 1.31e-03
+2022-09-17 04:50:54,038 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-2.pt
+2022-09-17 04:51:02,186 INFO [train.py:885] (0/2) Epoch 3, batch 0, loss[loss=0.2855, simple_loss=0.3195, pruned_loss=0.1258, over 13406.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08441, over 41.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3195, pruned_loss=0.1258, over 13406.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08441, over 41.00 utterances.], batch size: 41, lr: 1.29e-03
+2022-09-17 04:51:31,246 INFO [train.py:885] (0/2) Epoch 3, batch 50, loss[loss=0.4477, simple_loss=0.4544, pruned_loss=0.2205, over 14294.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03968, over 180.00 utterances.], tot_loss[loss=0.4012, simple_loss=0.4266, pruned_loss=0.1878, over 630199.20 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06039, over 10098.82 utterances.], batch size: 180, lr: 1.29e-03
+2022-09-17 04:52:01,736 INFO [train.py:885] (0/2) Epoch 3, batch 100, loss[loss=0.515, simple_loss=0.5491, pruned_loss=0.2404, over 13639.00 frames. utt_duration=98.8 frames, utt_pad_proportion=0.0766, over 560.00 utterances.], tot_loss[loss=0.4061, simple_loss=0.4311, pruned_loss=0.1906, over 1104764.84 frames. utt_duration=237.2 frames, utt_pad_proportion=0.06992, over 18748.21 utterances.], batch size: 560, lr: 1.29e-03
+2022-09-17 04:52:31,181 INFO [train.py:885] (0/2) Epoch 3, batch 150, loss[loss=0.4055, simple_loss=0.4408, pruned_loss=0.1851, over 14262.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04097, over 225.00 utterances.], tot_loss[loss=0.3995, simple_loss=0.4249, pruned_loss=0.187, over 1478949.28 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06742, over 23876.83 utterances.], batch size: 225, lr: 1.28e-03
+2022-09-17 04:52:59,550 INFO [train.py:885] (0/2) Epoch 3, batch 200, loss[loss=0.2664, simple_loss=0.2977, pruned_loss=0.1175, over 13773.00 frames. utt_duration=919.6 frames, utt_pad_proportion=0.07573, over 60.00 utterances.], tot_loss[loss=0.3908, simple_loss=0.4168, pruned_loss=0.1824, over 1769299.94 frames. utt_duration=266.2 frames, utt_pad_proportion=0.0668, over 26739.27 utterances.], batch size: 60, lr: 1.28e-03
+2022-09-17 04:53:29,924 INFO [train.py:885] (0/2) Epoch 3, batch 250, loss[loss=0.5387, simple_loss=0.5743, pruned_loss=0.2515, over 13133.00 frames. utt_duration=82.01 frames, utt_pad_proportion=0.1086, over 653.00 utterances.], tot_loss[loss=0.3981, simple_loss=0.4231, pruned_loss=0.1865, over 1990565.02 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06849, over 30903.45 utterances.], batch size: 653, lr: 1.28e-03
+2022-09-17 04:53:58,498 INFO [train.py:885] (0/2) Epoch 3, batch 300, loss[loss=0.4445, simple_loss=0.4572, pruned_loss=0.2159, over 14340.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03708, over 195.00 utterances.], tot_loss[loss=0.3954, simple_loss=0.4211, pruned_loss=0.1848, over 2161318.69 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06984, over 33906.80 utterances.], batch size: 195, lr: 1.28e-03
+2022-09-17 04:54:28,726 INFO [train.py:885] (0/2) Epoch 3, batch 350, loss[loss=0.4741, simple_loss=0.4912, pruned_loss=0.2285, over 14228.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04295, over 306.00 utterances.], tot_loss[loss=0.3961, simple_loss=0.4222, pruned_loss=0.185, over 2300225.80 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06866, over 36376.58 utterances.], batch size: 306, lr: 1.28e-03
+2022-09-17 04:54:57,685 INFO [train.py:885] (0/2) Epoch 3, batch 400, loss[loss=0.2715, simple_loss=0.3068, pruned_loss=0.118, over 13633.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08213, over 50.00 utterances.], tot_loss[loss=0.396, simple_loss=0.4217, pruned_loss=0.1851, over 2407598.15 frames. utt_duration=260.6 frames, utt_pad_proportion=0.06637, over 37162.76 utterances.], batch size: 50, lr: 1.28e-03
+2022-09-17 04:55:27,389 INFO [train.py:885] (0/2) Epoch 3, batch 450, loss[loss=0.4672, simple_loss=0.5138, pruned_loss=0.2103, over 13606.00 frames. utt_duration=98.59 frames, utt_pad_proportion=0.0786, over 560.00 utterances.], tot_loss[loss=0.3995, simple_loss=0.4249, pruned_loss=0.187, over 2489016.73 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06772, over 39401.48 utterances.], batch size: 560, lr: 1.28e-03
+2022-09-17 04:55:57,452 INFO [train.py:885] (0/2) Epoch 3, batch 500, loss[loss=0.3985, simple_loss=0.4316, pruned_loss=0.1827, over 14354.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03299, over 244.00 utterances.], tot_loss[loss=0.3981, simple_loss=0.4238, pruned_loss=0.1862, over 2552833.63 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06928, over 40312.23 utterances.], batch size: 244, lr: 1.28e-03
+2022-09-17 04:56:26,120 INFO [train.py:885] (0/2) Epoch 3, batch 550, loss[loss=0.4763, simple_loss=0.4807, pruned_loss=0.2359, over 14305.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.03998, over 262.00 utterances.], tot_loss[loss=0.3968, simple_loss=0.4226, pruned_loss=0.1855, over 2606589.67 frames. utt_duration=259.3 frames, utt_pad_proportion=0.0683, over 40432.58 utterances.], batch size: 262, lr: 1.27e-03
+2022-09-17 04:56:56,004 INFO [train.py:885] (0/2) Epoch 3, batch 600, loss[loss=0.4589, simple_loss=0.4906, pruned_loss=0.2136, over 13985.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05864, over 366.00 utterances.], tot_loss[loss=0.3964, simple_loss=0.4224, pruned_loss=0.1852, over 2639839.74 frames. utt_duration=257.6 frames, utt_pad_proportion=0.0705, over 41222.25 utterances.], batch size: 366, lr: 1.27e-03
+2022-09-17 04:57:25,821 INFO [train.py:885] (0/2) Epoch 3, batch 650, loss[loss=0.3436, simple_loss=0.3731, pruned_loss=0.1571, over 14095.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05276, over 98.00 utterances.], tot_loss[loss=0.4041, simple_loss=0.4297, pruned_loss=0.1893, over 2667410.52 frames. utt_duration=240 frames, utt_pad_proportion=0.07327, over 44740.70 utterances.], batch size: 98, lr: 1.27e-03
+2022-09-17 04:57:55,081 INFO [train.py:885] (0/2) Epoch 3, batch 700, loss[loss=0.388, simple_loss=0.4222, pruned_loss=0.1769, over 14299.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04008, over 120.00 utterances.], tot_loss[loss=0.4079, simple_loss=0.4331, pruned_loss=0.1913, over 2692089.35 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07402, over 46658.04 utterances.], batch size: 120, lr: 1.27e-03
+2022-09-17 04:58:24,367 INFO [train.py:885] (0/2) Epoch 3, batch 750, loss[loss=0.4182, simple_loss=0.4623, pruned_loss=0.1871, over 13747.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07298, over 411.00 utterances.], tot_loss[loss=0.401, simple_loss=0.4272, pruned_loss=0.1874, over 2711387.47 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07239, over 44645.73 utterances.], batch size: 411, lr: 1.27e-03
+2022-09-17 04:58:54,592 INFO [train.py:885] (0/2) Epoch 3, batch 800, loss[loss=0.4184, simple_loss=0.4452, pruned_loss=0.1958, over 14333.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04016, over 167.00 utterances.], tot_loss[loss=0.4096, simple_loss=0.4341, pruned_loss=0.1926, over 2726289.78 frames. utt_duration=234 frames, utt_pad_proportion=0.07472, over 46903.44 utterances.], batch size: 167, lr: 1.27e-03
+2022-09-17 04:59:24,462 INFO [train.py:885] (0/2) Epoch 3, batch 850, loss[loss=0.4094, simple_loss=0.4455, pruned_loss=0.1867, over 14239.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04242, over 225.00 utterances.], tot_loss[loss=0.4133, simple_loss=0.4365, pruned_loss=0.195, over 2741619.89 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07395, over 47120.83 utterances.], batch size: 225, lr: 1.27e-03
+2022-09-17 04:59:53,411 INFO [train.py:885] (0/2) Epoch 3, batch 900, loss[loss=0.2619, simple_loss=0.3152, pruned_loss=0.1043, over 13743.00 frames. utt_duration=917.8 frames, utt_pad_proportion=0.07198, over 60.00 utterances.], tot_loss[loss=0.4077, simple_loss=0.4325, pruned_loss=0.1915, over 2750917.72 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0734, over 46185.74 utterances.], batch size: 60, lr: 1.27e-03
+2022-09-17 05:00:23,301 INFO [train.py:885] (0/2) Epoch 3, batch 950, loss[loss=0.2735, simple_loss=0.3256, pruned_loss=0.1106, over 13167.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1104, over 33.00 utterances.], tot_loss[loss=0.4068, simple_loss=0.4315, pruned_loss=0.1911, over 2757274.86 frames. utt_duration=244 frames, utt_pad_proportion=0.07198, over 45480.07 utterances.], batch size: 33, lr: 1.27e-03
+2022-09-17 05:00:59,510 INFO [train.py:885] (0/2) Epoch 3, batch 1000, loss[loss=0.2507, simple_loss=0.2724, pruned_loss=0.1145, over 13828.00 frames. utt_duration=923.2 frames, utt_pad_proportion=0.07218, over 60.00 utterances.], tot_loss[loss=0.4086, simple_loss=0.433, pruned_loss=0.1921, over 2763026.89 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07153, over 45848.87 utterances.], batch size: 60, lr: 1.26e-03
+2022-09-17 05:01:29,140 INFO [train.py:885] (0/2) Epoch 3, batch 1050, loss[loss=0.3719, simple_loss=0.3988, pruned_loss=0.1725, over 14227.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04699, over 141.00 utterances.], tot_loss[loss=0.4038, simple_loss=0.4282, pruned_loss=0.1897, over 2766536.92 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07081, over 44425.34 utterances.], batch size: 141, lr: 1.26e-03
+2022-09-17 05:01:58,813 INFO [train.py:885] (0/2) Epoch 3, batch 1100, loss[loss=0.3277, simple_loss=0.3616, pruned_loss=0.1469, over 14235.00 frames. utt_duration=523.9 frames, utt_pad_proportion=0.04043, over 109.00 utterances.], tot_loss[loss=0.4014, simple_loss=0.4261, pruned_loss=0.1884, over 2768822.71 frames. utt_duration=253.5 frames, utt_pad_proportion=0.0704, over 43938.46 utterances.], batch size: 109, lr: 1.26e-03
+2022-09-17 05:02:28,335 INFO [train.py:885] (0/2) Epoch 3, batch 1150, loss[loss=0.4428, simple_loss=0.4604, pruned_loss=0.2126, over 14356.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03838, over 167.00 utterances.], tot_loss[loss=0.4036, simple_loss=0.4291, pruned_loss=0.189, over 2771888.03 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07184, over 45693.90 utterances.], batch size: 167, lr: 1.26e-03
+2022-09-17 05:02:58,396 INFO [train.py:885] (0/2) Epoch 3, batch 1200, loss[loss=0.3404, simple_loss=0.3658, pruned_loss=0.1575, over 14029.00 frames. utt_duration=574 frames, utt_pad_proportion=0.05589, over 98.00 utterances.], tot_loss[loss=0.4029, simple_loss=0.4285, pruned_loss=0.1886, over 2771926.72 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07236, over 45961.12 utterances.], batch size: 98, lr: 1.26e-03
+2022-09-17 05:03:27,019 INFO [train.py:885] (0/2) Epoch 3, batch 1250, loss[loss=0.4333, simple_loss=0.4501, pruned_loss=0.2082, over 14279.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04057, over 154.00 utterances.], tot_loss[loss=0.4015, simple_loss=0.4277, pruned_loss=0.1877, over 2775949.73 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07137, over 45757.64 utterances.], batch size: 154, lr: 1.26e-03
+2022-09-17 05:03:56,584 INFO [train.py:885] (0/2) Epoch 3, batch 1300, loss[loss=0.4657, simple_loss=0.4685, pruned_loss=0.2314, over 14403.00 frames. utt_duration=237.6 frames, utt_pad_proportion=0.03432, over 244.00 utterances.], tot_loss[loss=0.4025, simple_loss=0.4286, pruned_loss=0.1883, over 2777607.70 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07275, over 45889.58 utterances.], batch size: 244, lr: 1.26e-03
+2022-09-17 05:04:25,965 INFO [train.py:885] (0/2) Epoch 3, batch 1350, loss[loss=0.4091, simple_loss=0.4422, pruned_loss=0.1881, over 14171.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04595, over 306.00 utterances.], tot_loss[loss=0.4047, simple_loss=0.4309, pruned_loss=0.1892, over 2779393.14 frames. utt_duration=236 frames, utt_pad_proportion=0.07245, over 47400.21 utterances.], batch size: 306, lr: 1.26e-03
+2022-09-17 05:04:55,376 INFO [train.py:885] (0/2) Epoch 3, batch 1400, loss[loss=0.4215, simple_loss=0.4489, pruned_loss=0.197, over 14269.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04032, over 225.00 utterances.], tot_loss[loss=0.4008, simple_loss=0.4277, pruned_loss=0.187, over 2781059.62 frames. utt_duration=244 frames, utt_pad_proportion=0.07174, over 45864.62 utterances.], batch size: 225, lr: 1.25e-03
+2022-09-17 05:05:24,267 INFO [train.py:885] (0/2) Epoch 3, batch 1450, loss[loss=0.4125, simple_loss=0.4456, pruned_loss=0.1896, over 14275.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0405, over 225.00 utterances.], tot_loss[loss=0.3952, simple_loss=0.4229, pruned_loss=0.1838, over 2780183.09 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07134, over 44681.10 utterances.], batch size: 225, lr: 1.25e-03
+2022-09-17 05:05:54,031 INFO [train.py:885] (0/2) Epoch 3, batch 1500, loss[loss=0.332, simple_loss=0.3636, pruned_loss=0.1502, over 14258.00 frames. utt_duration=642.4 frames, utt_pad_proportion=0.04267, over 89.00 utterances.], tot_loss[loss=0.3921, simple_loss=0.4202, pruned_loss=0.1819, over 2779025.56 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07201, over 44135.67 utterances.], batch size: 89, lr: 1.25e-03
+2022-09-17 05:06:23,391 INFO [train.py:885] (0/2) Epoch 3, batch 1550, loss[loss=0.2496, simple_loss=0.292, pruned_loss=0.1036, over 14101.00 frames. utt_duration=715.4 frames, utt_pad_proportion=0.05373, over 79.00 utterances.], tot_loss[loss=0.393, simple_loss=0.4204, pruned_loss=0.1828, over 2774831.98 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07424, over 44577.44 utterances.], batch size: 79, lr: 1.25e-03
+2022-09-17 05:06:53,190 INFO [train.py:885] (0/2) Epoch 3, batch 1600, loss[loss=0.8251, simple_loss=0.7737, pruned_loss=0.4382, over 12594.00 frames. utt_duration=63.74 frames, utt_pad_proportion=0.1387, over 810.00 utterances.], tot_loss[loss=0.3935, simple_loss=0.4212, pruned_loss=0.1829, over 2771358.30 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07512, over 45318.69 utterances.], batch size: 810, lr: 1.25e-03
+2022-09-17 05:07:22,970 INFO [train.py:885] (0/2) Epoch 3, batch 1650, loss[loss=0.2803, simple_loss=0.3295, pruned_loss=0.1155, over 13835.00 frames. utt_duration=803.4 frames, utt_pad_proportion=0.06358, over 69.00 utterances.], tot_loss[loss=0.3967, simple_loss=0.4245, pruned_loss=0.1844, over 2770451.29 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07624, over 46574.28 utterances.], batch size: 69, lr: 1.25e-03
+2022-09-17 05:07:52,562 INFO [train.py:885] (0/2) Epoch 3, batch 1700, loss[loss=0.6783, simple_loss=0.6837, pruned_loss=0.3364, over 12522.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1433, over 810.00 utterances.], tot_loss[loss=0.3945, simple_loss=0.4233, pruned_loss=0.1829, over 2773722.65 frames. utt_duration=241.4 frames, utt_pad_proportion=0.075, over 46242.50 utterances.], batch size: 810, lr: 1.25e-03
+2022-09-17 05:08:22,371 INFO [train.py:885] (0/2) Epoch 3, batch 1750, loss[loss=0.4501, simple_loss=0.4728, pruned_loss=0.2137, over 14309.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03978, over 262.00 utterances.], tot_loss[loss=0.3979, simple_loss=0.4266, pruned_loss=0.1846, over 2777043.01 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07425, over 46909.29 utterances.], batch size: 262, lr: 1.25e-03
+2022-09-17 05:08:58,630 INFO [train.py:885] (0/2) Epoch 3, batch 1800, loss[loss=0.4093, simple_loss=0.4459, pruned_loss=0.1864, over 14372.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03647, over 244.00 utterances.], tot_loss[loss=0.399, simple_loss=0.4275, pruned_loss=0.1852, over 2776454.36 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07468, over 47386.95 utterances.], batch size: 244, lr: 1.25e-03
+2022-09-17 05:09:27,722 INFO [train.py:885] (0/2) Epoch 3, batch 1850, loss[loss=0.461, simple_loss=0.4684, pruned_loss=0.2268, over 14369.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03733, over 167.00 utterances.], tot_loss[loss=0.3933, simple_loss=0.4221, pruned_loss=0.1823, over 2776995.26 frames. utt_duration=250 frames, utt_pad_proportion=0.07315, over 44688.52 utterances.], batch size: 167, lr: 1.24e-03
+2022-09-17 05:09:57,368 INFO [train.py:885] (0/2) Epoch 3, batch 1900, loss[loss=0.4246, simple_loss=0.4562, pruned_loss=0.1965, over 14276.00 frames. utt_duration=219.4 frames, utt_pad_proportion=0.04192, over 262.00 utterances.], tot_loss[loss=0.3947, simple_loss=0.4228, pruned_loss=0.1833, over 2780312.52 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07312, over 44512.89 utterances.], batch size: 262, lr: 1.24e-03
+2022-09-17 05:10:36,411 INFO [train.py:885] (0/2) Epoch 3, batch 1950, loss[loss=0.4895, simple_loss=0.4884, pruned_loss=0.2453, over 14266.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04058, over 225.00 utterances.], tot_loss[loss=0.3983, simple_loss=0.4252, pruned_loss=0.1857, over 2780120.95 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07315, over 44805.41 utterances.], batch size: 225, lr: 1.24e-03
+2022-09-17 05:11:05,282 INFO [train.py:885] (0/2) Epoch 3, batch 2000, loss[loss=0.4646, simple_loss=0.4789, pruned_loss=0.2251, over 14229.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04262, over 306.00 utterances.], tot_loss[loss=0.4035, simple_loss=0.43, pruned_loss=0.1885, over 2776754.47 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07567, over 46880.93 utterances.], batch size: 306, lr: 1.24e-03
+2022-09-17 05:11:35,151 INFO [train.py:885] (0/2) Epoch 3, batch 2050, loss[loss=0.3731, simple_loss=0.3995, pruned_loss=0.1733, over 14071.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05631, over 98.00 utterances.], tot_loss[loss=0.4092, simple_loss=0.4347, pruned_loss=0.1918, over 2776560.18 frames. utt_duration=230.8 frames, utt_pad_proportion=0.07525, over 48428.73 utterances.], batch size: 98, lr: 1.24e-03
+2022-09-17 05:12:04,127 INFO [train.py:885] (0/2) Epoch 3, batch 2100, loss[loss=0.4886, simple_loss=0.4882, pruned_loss=0.2445, over 14234.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04272, over 335.00 utterances.], tot_loss[loss=0.4054, simple_loss=0.4313, pruned_loss=0.1897, over 2778198.19 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07296, over 47470.97 utterances.], batch size: 335, lr: 1.24e-03
+2022-09-17 05:12:33,369 INFO [train.py:885] (0/2) Epoch 3, batch 2150, loss[loss=0.2904, simple_loss=0.3346, pruned_loss=0.1231, over 13894.00 frames. utt_duration=806.8 frames, utt_pad_proportion=0.06077, over 69.00 utterances.], tot_loss[loss=0.3964, simple_loss=0.4244, pruned_loss=0.1842, over 2775585.70 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0725, over 46264.12 utterances.], batch size: 69, lr: 1.24e-03
+2022-09-17 05:13:03,102 INFO [train.py:885] (0/2) Epoch 3, batch 2200, loss[loss=0.2854, simple_loss=0.3416, pruned_loss=0.1146, over 14109.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05318, over 98.00 utterances.], tot_loss[loss=0.3962, simple_loss=0.4242, pruned_loss=0.1841, over 2779131.46 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07133, over 45714.02 utterances.], batch size: 98, lr: 1.24e-03
+2022-09-17 05:13:32,697 INFO [train.py:885] (0/2) Epoch 3, batch 2250, loss[loss=0.2065, simple_loss=0.2318, pruned_loss=0.09062, over 12473.00 frames. utt_duration=2080 frames, utt_pad_proportion=0.1533, over 24.00 utterances.], tot_loss[loss=0.3903, simple_loss=0.4197, pruned_loss=0.1805, over 2778666.87 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07013, over 44807.69 utterances.], batch size: 24, lr: 1.24e-03
+2022-09-17 05:14:02,700 INFO [train.py:885] (0/2) Epoch 3, batch 2300, loss[loss=0.423, simple_loss=0.4232, pruned_loss=0.2114, over 14142.00 frames. utt_duration=578.7 frames, utt_pad_proportion=0.05134, over 98.00 utterances.], tot_loss[loss=0.3941, simple_loss=0.4229, pruned_loss=0.1827, over 2781584.85 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07152, over 45837.13 utterances.], batch size: 98, lr: 1.23e-03
+2022-09-17 05:14:32,394 INFO [train.py:885] (0/2) Epoch 3, batch 2350, loss[loss=0.418, simple_loss=0.4446, pruned_loss=0.1957, over 14345.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03639, over 210.00 utterances.], tot_loss[loss=0.3977, simple_loss=0.4262, pruned_loss=0.1846, over 2776259.37 frames. utt_duration=233 frames, utt_pad_proportion=0.07506, over 47972.75 utterances.], batch size: 210, lr: 1.23e-03
+2022-09-17 05:15:01,655 INFO [train.py:885] (0/2) Epoch 3, batch 2400, loss[loss=0.361, simple_loss=0.3891, pruned_loss=0.1664, over 14416.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03575, over 131.00 utterances.], tot_loss[loss=0.3922, simple_loss=0.4223, pruned_loss=0.1811, over 2779073.44 frames. utt_duration=240.2 frames, utt_pad_proportion=0.073, over 46570.67 utterances.], batch size: 131, lr: 1.23e-03
+2022-09-17 05:15:30,567 INFO [train.py:885] (0/2) Epoch 3, batch 2450, loss[loss=0.3966, simple_loss=0.4331, pruned_loss=0.1801, over 14341.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03935, over 167.00 utterances.], tot_loss[loss=0.3858, simple_loss=0.4169, pruned_loss=0.1773, over 2781038.47 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07019, over 43957.20 utterances.], batch size: 167, lr: 1.23e-03
+2022-09-17 05:16:00,354 INFO [train.py:885] (0/2) Epoch 3, batch 2500, loss[loss=0.2478, simple_loss=0.295, pruned_loss=0.1003, over 13941.00 frames. utt_duration=930.7 frames, utt_pad_proportion=0.06464, over 60.00 utterances.], tot_loss[loss=0.3886, simple_loss=0.4196, pruned_loss=0.1788, over 2782596.36 frames. utt_duration=247.8 frames, utt_pad_proportion=0.0691, over 45178.11 utterances.], batch size: 60, lr: 1.23e-03
+2022-09-17 05:16:29,644 INFO [train.py:885] (0/2) Epoch 3, batch 2550, loss[loss=0.3847, simple_loss=0.4215, pruned_loss=0.174, over 14282.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04004, over 180.00 utterances.], tot_loss[loss=0.3915, simple_loss=0.4219, pruned_loss=0.1805, over 2786138.78 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06808, over 45293.03 utterances.], batch size: 180, lr: 1.23e-03
+2022-09-17 05:16:59,023 INFO [train.py:885] (0/2) Epoch 3, batch 2600, loss[loss=0.4109, simple_loss=0.4612, pruned_loss=0.1803, over 13949.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.0588, over 365.00 utterances.], tot_loss[loss=0.3892, simple_loss=0.4203, pruned_loss=0.179, over 2785261.64 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06843, over 44839.96 utterances.], batch size: 365, lr: 1.23e-03
+2022-09-17 05:17:29,171 INFO [train.py:885] (0/2) Epoch 3, batch 2650, loss[loss=0.4698, simple_loss=0.5004, pruned_loss=0.2196, over 13801.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06984, over 411.00 utterances.], tot_loss[loss=0.3929, simple_loss=0.423, pruned_loss=0.1814, over 2780773.14 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07098, over 45663.21 utterances.], batch size: 411, lr: 1.23e-03
+2022-09-17 05:17:58,307 INFO [train.py:885] (0/2) Epoch 3, batch 2700, loss[loss=0.8048, simple_loss=0.7788, pruned_loss=0.4154, over 12409.00 frames. utt_duration=62.9 frames, utt_pad_proportion=0.1501, over 810.00 utterances.], tot_loss[loss=0.3998, simple_loss=0.4285, pruned_loss=0.1856, over 2781016.76 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07201, over 47327.49 utterances.], batch size: 810, lr: 1.23e-03
+2022-09-17 05:18:28,113 INFO [train.py:885] (0/2) Epoch 3, batch 2750, loss[loss=0.3468, simple_loss=0.3962, pruned_loss=0.1487, over 14201.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.04869, over 141.00 utterances.], tot_loss[loss=0.3969, simple_loss=0.4261, pruned_loss=0.1839, over 2780555.35 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07287, over 47002.07 utterances.], batch size: 141, lr: 1.23e-03
+2022-09-17 05:18:33,993 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-28000.pt
+2022-09-17 05:18:57,817 INFO [train.py:885] (0/2) Epoch 3, batch 2800, loss[loss=0.2248, simple_loss=0.2543, pruned_loss=0.09769, over 12528.00 frames. utt_duration=2090 frames, utt_pad_proportion=0.1333, over 24.00 utterances.], tot_loss[loss=0.394, simple_loss=0.4231, pruned_loss=0.1824, over 2780189.89 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07309, over 46393.39 utterances.], batch size: 24, lr: 1.22e-03
+2022-09-17 05:19:27,187 INFO [train.py:885] (0/2) Epoch 3, batch 2850, loss[loss=0.35, simple_loss=0.3764, pruned_loss=0.1618, over 14000.00 frames. utt_duration=572.9 frames, utt_pad_proportion=0.05925, over 98.00 utterances.], tot_loss[loss=0.3916, simple_loss=0.4215, pruned_loss=0.1809, over 2781148.13 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07279, over 45894.40 utterances.], batch size: 98, lr: 1.22e-03
+2022-09-17 05:19:56,738 INFO [train.py:885] (0/2) Epoch 3, batch 2900, loss[loss=0.4422, simple_loss=0.4831, pruned_loss=0.2007, over 13761.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07224, over 411.00 utterances.], tot_loss[loss=0.3914, simple_loss=0.4213, pruned_loss=0.1807, over 2782011.17 frames. utt_duration=243.6 frames, utt_pad_proportion=0.0736, over 45967.45 utterances.], batch size: 411, lr: 1.22e-03
+2022-09-17 05:20:26,384 INFO [train.py:885] (0/2) Epoch 3, batch 2950, loss[loss=0.5127, simple_loss=0.5432, pruned_loss=0.2411, over 13600.00 frames. utt_duration=98.56 frames, utt_pad_proportion=0.07889, over 560.00 utterances.], tot_loss[loss=0.3918, simple_loss=0.4217, pruned_loss=0.181, over 2780468.64 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07183, over 45793.05 utterances.], batch size: 560, lr: 1.22e-03
+2022-09-17 05:20:56,168 INFO [train.py:885] (0/2) Epoch 3, batch 3000, loss[loss=0.4376, simple_loss=0.4873, pruned_loss=0.1939, over 13653.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07956, over 477.00 utterances.], tot_loss[loss=0.3906, simple_loss=0.4196, pruned_loss=0.1808, over 2777693.45 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07216, over 45135.50 utterances.], batch size: 477, lr: 1.22e-03
+2022-09-17 05:20:56,169 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 05:21:00,307 INFO [train.py:914] (0/2) Epoch 3, validation: loss=0.2615, simple_loss=0.3217, pruned_loss=0.1006, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 05:21:29,832 INFO [train.py:885] (0/2) Epoch 3, batch 3050, loss[loss=0.3788, simple_loss=0.4203, pruned_loss=0.1687, over 14359.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.0355, over 195.00 utterances.], tot_loss[loss=0.3944, simple_loss=0.4234, pruned_loss=0.1827, over 2780036.08 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07248, over 46095.40 utterances.], batch size: 195, lr: 1.22e-03
+2022-09-17 05:21:59,830 INFO [train.py:885] (0/2) Epoch 3, batch 3100, loss[loss=0.3391, simple_loss=0.381, pruned_loss=0.1486, over 14261.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.04081, over 130.00 utterances.], tot_loss[loss=0.397, simple_loss=0.4259, pruned_loss=0.184, over 2778434.68 frames. utt_duration=234.4 frames, utt_pad_proportion=0.0735, over 47708.31 utterances.], batch size: 130, lr: 1.22e-03
+2022-09-17 05:22:28,935 INFO [train.py:885] (0/2) Epoch 3, batch 3150, loss[loss=0.3723, simple_loss=0.4157, pruned_loss=0.1645, over 14385.00 frames. utt_duration=346 frames, utt_pad_proportion=0.03626, over 167.00 utterances.], tot_loss[loss=0.3921, simple_loss=0.422, pruned_loss=0.1811, over 2778943.90 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07232, over 46819.09 utterances.], batch size: 167, lr: 1.22e-03
+2022-09-17 05:22:58,886 INFO [train.py:885] (0/2) Epoch 3, batch 3200, loss[loss=0.4367, simple_loss=0.481, pruned_loss=0.1962, over 13710.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07496, over 411.00 utterances.], tot_loss[loss=0.3889, simple_loss=0.4191, pruned_loss=0.1794, over 2781928.83 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07012, over 45388.77 utterances.], batch size: 411, lr: 1.22e-03
+2022-09-17 05:23:28,009 INFO [train.py:885] (0/2) Epoch 3, batch 3250, loss[loss=0.3172, simple_loss=0.3449, pruned_loss=0.1447, over 14125.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05104, over 98.00 utterances.], tot_loss[loss=0.3889, simple_loss=0.4191, pruned_loss=0.1793, over 2783844.17 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0707, over 45194.44 utterances.], batch size: 98, lr: 1.21e-03
+2022-09-17 05:23:57,537 INFO [train.py:885] (0/2) Epoch 3, batch 3300, loss[loss=0.3629, simple_loss=0.4024, pruned_loss=0.1617, over 14313.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03714, over 130.00 utterances.], tot_loss[loss=0.3833, simple_loss=0.4143, pruned_loss=0.1762, over 2785455.45 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06942, over 43416.76 utterances.], batch size: 130, lr: 1.21e-03
+2022-09-17 05:24:27,429 INFO [train.py:885] (0/2) Epoch 3, batch 3350, loss[loss=0.2725, simple_loss=0.2973, pruned_loss=0.1239, over 13188.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1136, over 33.00 utterances.], tot_loss[loss=0.3835, simple_loss=0.4149, pruned_loss=0.176, over 2785224.59 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06908, over 44076.19 utterances.], batch size: 33, lr: 1.21e-03
+2022-09-17 05:24:56,660 INFO [train.py:885] (0/2) Epoch 3, batch 3400, loss[loss=0.2777, simple_loss=0.3258, pruned_loss=0.1148, over 14179.00 frames. utt_duration=638.8 frames, utt_pad_proportion=0.04939, over 89.00 utterances.], tot_loss[loss=0.3856, simple_loss=0.4174, pruned_loss=0.1769, over 2789180.63 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06847, over 44761.30 utterances.], batch size: 89, lr: 1.21e-03
+2022-09-17 05:25:26,214 INFO [train.py:885] (0/2) Epoch 3, batch 3450, loss[loss=0.4763, simple_loss=0.4821, pruned_loss=0.2353, over 14277.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04069, over 225.00 utterances.], tot_loss[loss=0.3857, simple_loss=0.417, pruned_loss=0.1772, over 2791772.33 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06722, over 43981.58 utterances.], batch size: 225, lr: 1.21e-03
+2022-09-17 05:25:56,194 INFO [train.py:885] (0/2) Epoch 3, batch 3500, loss[loss=0.3663, simple_loss=0.3982, pruned_loss=0.1672, over 14346.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.03514, over 130.00 utterances.], tot_loss[loss=0.389, simple_loss=0.4198, pruned_loss=0.1791, over 2791357.10 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06772, over 44917.42 utterances.], batch size: 130, lr: 1.21e-03
+2022-09-17 05:26:25,615 INFO [train.py:885] (0/2) Epoch 3, batch 3550, loss[loss=0.2102, simple_loss=0.2411, pruned_loss=0.08967, over 13647.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08215, over 50.00 utterances.], tot_loss[loss=0.3863, simple_loss=0.4175, pruned_loss=0.1776, over 2785416.62 frames. utt_duration=251.9 frames, utt_pad_proportion=0.0682, over 44486.72 utterances.], batch size: 50, lr: 1.21e-03
+2022-09-17 05:26:55,137 INFO [train.py:885] (0/2) Epoch 3, batch 3600, loss[loss=0.2778, simple_loss=0.3222, pruned_loss=0.1167, over 14203.00 frames. utt_duration=639.8 frames, utt_pad_proportion=0.04657, over 89.00 utterances.], tot_loss[loss=0.3897, simple_loss=0.4203, pruned_loss=0.1795, over 2782718.36 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06911, over 45584.22 utterances.], batch size: 89, lr: 1.21e-03
+2022-09-17 05:27:24,550 INFO [train.py:885] (0/2) Epoch 3, batch 3650, loss[loss=0.2428, simple_loss=0.302, pruned_loss=0.0918, over 12995.00 frames. utt_duration=1576 frames, utt_pad_proportion=0.1212, over 33.00 utterances.], tot_loss[loss=0.3876, simple_loss=0.4177, pruned_loss=0.1787, over 2783601.16 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06814, over 43783.04 utterances.], batch size: 33, lr: 1.21e-03
+2022-09-17 05:27:53,999 INFO [train.py:885] (0/2) Epoch 3, batch 3700, loss[loss=0.2593, simple_loss=0.3048, pruned_loss=0.1069, over 14048.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05728, over 79.00 utterances.], tot_loss[loss=0.3902, simple_loss=0.4203, pruned_loss=0.1801, over 2784525.03 frames. utt_duration=250.6 frames, utt_pad_proportion=0.0703, over 44703.64 utterances.], batch size: 79, lr: 1.21e-03
+2022-09-17 05:28:24,146 INFO [train.py:885] (0/2) Epoch 3, batch 3750, loss[loss=0.2297, simple_loss=0.2571, pruned_loss=0.1011, over 12577.00 frames. utt_duration=2098 frames, utt_pad_proportion=0.1592, over 24.00 utterances.], tot_loss[loss=0.3929, simple_loss=0.423, pruned_loss=0.1814, over 2777851.50 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07257, over 46331.15 utterances.], batch size: 24, lr: 1.20e-03
+2022-09-17 05:28:53,329 INFO [train.py:885] (0/2) Epoch 3, batch 3800, loss[loss=0.3879, simple_loss=0.4264, pruned_loss=0.1747, over 14333.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0371, over 226.00 utterances.], tot_loss[loss=0.3917, simple_loss=0.4224, pruned_loss=0.1805, over 2778820.45 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07279, over 46350.09 utterances.], batch size: 226, lr: 1.20e-03
+2022-09-17 05:29:22,912 INFO [train.py:885] (0/2) Epoch 3, batch 3850, loss[loss=0.3837, simple_loss=0.4189, pruned_loss=0.1743, over 14378.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03127, over 195.00 utterances.], tot_loss[loss=0.3899, simple_loss=0.4205, pruned_loss=0.1796, over 2781962.47 frames. utt_duration=247 frames, utt_pad_proportion=0.07211, over 45314.90 utterances.], batch size: 195, lr: 1.20e-03
+2022-09-17 05:29:52,670 INFO [train.py:885] (0/2) Epoch 3, batch 3900, loss[loss=0.4808, simple_loss=0.4899, pruned_loss=0.2359, over 14307.00 frames. utt_duration=273.9 frames, utt_pad_proportion=0.03881, over 210.00 utterances.], tot_loss[loss=0.3876, simple_loss=0.4179, pruned_loss=0.1787, over 2783536.38 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06975, over 44160.40 utterances.], batch size: 210, lr: 1.20e-03
+2022-09-17 05:30:21,761 INFO [train.py:885] (0/2) Epoch 3, batch 3950, loss[loss=0.41, simple_loss=0.4252, pruned_loss=0.1974, over 14272.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04048, over 180.00 utterances.], tot_loss[loss=0.3913, simple_loss=0.421, pruned_loss=0.1808, over 2784956.28 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06868, over 44942.29 utterances.], batch size: 180, lr: 1.20e-03
+2022-09-17 05:30:51,079 INFO [train.py:885] (0/2) Epoch 3, batch 4000, loss[loss=0.2595, simple_loss=0.3084, pruned_loss=0.1053, over 13649.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08289, over 42.00 utterances.], tot_loss[loss=0.389, simple_loss=0.4197, pruned_loss=0.1792, over 2782549.01 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07033, over 45363.72 utterances.], batch size: 42, lr: 1.20e-03
+2022-09-17 05:31:20,266 INFO [train.py:885] (0/2) Epoch 3, batch 4050, loss[loss=0.3613, simple_loss=0.4019, pruned_loss=0.1603, over 14346.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.03794, over 154.00 utterances.], tot_loss[loss=0.3863, simple_loss=0.4173, pruned_loss=0.1777, over 2779699.95 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07178, over 45029.09 utterances.], batch size: 154, lr: 1.20e-03
+2022-09-17 05:31:49,968 INFO [train.py:885] (0/2) Epoch 3, batch 4100, loss[loss=0.3235, simple_loss=0.3673, pruned_loss=0.1399, over 14218.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.0454, over 141.00 utterances.], tot_loss[loss=0.3884, simple_loss=0.4195, pruned_loss=0.1787, over 2774589.30 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07401, over 46015.28 utterances.], batch size: 141, lr: 1.20e-03
+2022-09-17 05:32:19,147 INFO [train.py:885] (0/2) Epoch 3, batch 4150, loss[loss=0.3551, simple_loss=0.4034, pruned_loss=0.1534, over 14249.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04561, over 141.00 utterances.], tot_loss[loss=0.3825, simple_loss=0.4147, pruned_loss=0.1752, over 2779257.04 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07067, over 44335.93 utterances.], batch size: 141, lr: 1.20e-03
+2022-09-17 05:32:48,230 INFO [train.py:885] (0/2) Epoch 3, batch 4200, loss[loss=0.3712, simple_loss=0.4066, pruned_loss=0.1679, over 14300.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.04212, over 141.00 utterances.], tot_loss[loss=0.384, simple_loss=0.4158, pruned_loss=0.1761, over 2778600.10 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07137, over 44383.22 utterances.], batch size: 141, lr: 1.20e-03
+2022-09-17 05:33:17,284 INFO [train.py:885] (0/2) Epoch 3, batch 4250, loss[loss=0.3308, simple_loss=0.3813, pruned_loss=0.1402, over 14270.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04195, over 141.00 utterances.], tot_loss[loss=0.3826, simple_loss=0.4138, pruned_loss=0.1757, over 2780482.52 frames. utt_duration=260.4 frames, utt_pad_proportion=0.0694, over 42958.05 utterances.], batch size: 141, lr: 1.19e-03
+2022-09-17 05:33:56,597 INFO [train.py:885] (0/2) Epoch 3, batch 4300, loss[loss=0.2533, simple_loss=0.2933, pruned_loss=0.1066, over 13969.00 frames. utt_duration=799.8 frames, utt_pad_proportion=0.06673, over 70.00 utterances.], tot_loss[loss=0.3899, simple_loss=0.4208, pruned_loss=0.1795, over 2782289.29 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07017, over 45798.05 utterances.], batch size: 70, lr: 1.19e-03
+2022-09-17 05:34:25,933 INFO [train.py:885] (0/2) Epoch 3, batch 4350, loss[loss=0.4698, simple_loss=0.4803, pruned_loss=0.2296, over 14211.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04508, over 335.00 utterances.], tot_loss[loss=0.3902, simple_loss=0.4222, pruned_loss=0.1791, over 2785868.17 frames. utt_duration=239.2 frames, utt_pad_proportion=0.06997, over 46874.14 utterances.], batch size: 335, lr: 1.19e-03
+2022-09-17 05:34:55,370 INFO [train.py:885] (0/2) Epoch 3, batch 4400, loss[loss=0.3171, simple_loss=0.3535, pruned_loss=0.1403, over 14384.00 frames. utt_duration=480.9 frames, utt_pad_proportion=0.03427, over 120.00 utterances.], tot_loss[loss=0.388, simple_loss=0.4201, pruned_loss=0.1779, over 2786560.31 frames. utt_duration=242.9 frames, utt_pad_proportion=0.06997, over 46161.32 utterances.], batch size: 120, lr: 1.19e-03
+2022-09-17 05:35:25,749 INFO [train.py:885] (0/2) Epoch 3, batch 4450, loss[loss=0.3817, simple_loss=0.4096, pruned_loss=0.1769, over 14331.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04006, over 167.00 utterances.], tot_loss[loss=0.3921, simple_loss=0.4234, pruned_loss=0.1804, over 2785664.70 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07058, over 47078.29 utterances.], batch size: 167, lr: 1.19e-03
+2022-09-17 05:35:54,166 INFO [train.py:885] (0/2) Epoch 3, batch 4500, loss[loss=0.4434, simple_loss=0.4812, pruned_loss=0.2028, over 13969.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05824, over 365.00 utterances.], tot_loss[loss=0.3876, simple_loss=0.4192, pruned_loss=0.178, over 2787253.39 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06916, over 45956.23 utterances.], batch size: 365, lr: 1.19e-03
+2022-09-17 05:36:24,618 INFO [train.py:885] (0/2) Epoch 3, batch 4550, loss[loss=0.3912, simple_loss=0.427, pruned_loss=0.1777, over 14292.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04146, over 154.00 utterances.], tot_loss[loss=0.3875, simple_loss=0.4194, pruned_loss=0.1778, over 2779292.30 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07194, over 46326.19 utterances.], batch size: 154, lr: 1.19e-03
+2022-09-17 05:36:54,016 INFO [train.py:885] (0/2) Epoch 3, batch 4600, loss[loss=0.2846, simple_loss=0.3322, pruned_loss=0.1185, over 14044.00 frames. utt_duration=712.3 frames, utt_pad_proportion=0.05787, over 79.00 utterances.], tot_loss[loss=0.3866, simple_loss=0.4187, pruned_loss=0.1773, over 2780226.32 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07154, over 46088.52 utterances.], batch size: 79, lr: 1.19e-03
+2022-09-17 05:37:23,942 INFO [train.py:885] (0/2) Epoch 3, batch 4650, loss[loss=0.4064, simple_loss=0.4704, pruned_loss=0.1712, over 13639.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08075, over 477.00 utterances.], tot_loss[loss=0.3857, simple_loss=0.4182, pruned_loss=0.1766, over 2776350.93 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07271, over 46542.14 utterances.], batch size: 477, lr: 1.19e-03
+2022-09-17 05:37:52,689 INFO [train.py:885] (0/2) Epoch 3, batch 4700, loss[loss=0.3054, simple_loss=0.3407, pruned_loss=0.1351, over 14257.00 frames. utt_duration=635 frames, utt_pad_proportion=0.04655, over 90.00 utterances.], tot_loss[loss=0.3839, simple_loss=0.4166, pruned_loss=0.1757, over 2777556.12 frames. utt_duration=245.8 frames, utt_pad_proportion=0.0728, over 45464.83 utterances.], batch size: 90, lr: 1.19e-03
+2022-09-17 05:38:22,559 INFO [train.py:885] (0/2) Epoch 3, batch 4750, loss[loss=0.6623, simple_loss=0.6838, pruned_loss=0.3204, over 12438.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.3843, simple_loss=0.4164, pruned_loss=0.1761, over 2778321.44 frames. utt_duration=249 frames, utt_pad_proportion=0.07171, over 44896.82 utterances.], batch size: 810, lr: 1.18e-03
+2022-09-17 05:38:52,298 INFO [train.py:885] (0/2) Epoch 3, batch 4800, loss[loss=0.4036, simple_loss=0.4364, pruned_loss=0.1854, over 14296.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03859, over 180.00 utterances.], tot_loss[loss=0.3902, simple_loss=0.4214, pruned_loss=0.1795, over 2779438.60 frames. utt_duration=243.3 frames, utt_pad_proportion=0.072, over 45973.96 utterances.], batch size: 180, lr: 1.18e-03
+2022-09-17 05:39:21,941 INFO [train.py:885] (0/2) Epoch 3, batch 4850, loss[loss=0.4802, simple_loss=0.4984, pruned_loss=0.231, over 14365.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03459, over 210.00 utterances.], tot_loss[loss=0.3911, simple_loss=0.4211, pruned_loss=0.1805, over 2780043.17 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07086, over 45079.01 utterances.], batch size: 210, lr: 1.18e-03
+2022-09-17 05:39:51,678 INFO [train.py:885] (0/2) Epoch 3, batch 4900, loss[loss=0.4091, simple_loss=0.4425, pruned_loss=0.1878, over 14308.00 frames. utt_duration=273.9 frames, utt_pad_proportion=0.03891, over 210.00 utterances.], tot_loss[loss=0.3908, simple_loss=0.4214, pruned_loss=0.1801, over 2782038.08 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07157, over 45436.05 utterances.], batch size: 210, lr: 1.18e-03
+2022-09-17 05:40:21,251 INFO [train.py:885] (0/2) Epoch 3, batch 4950, loss[loss=0.4688, simple_loss=0.5163, pruned_loss=0.2106, over 13640.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08011, over 477.00 utterances.], tot_loss[loss=0.3885, simple_loss=0.4191, pruned_loss=0.1789, over 2784661.58 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06959, over 44678.57 utterances.], batch size: 477, lr: 1.18e-03
+2022-09-17 05:40:50,442 INFO [train.py:885] (0/2) Epoch 3, batch 5000, loss[loss=0.5081, simple_loss=0.5009, pruned_loss=0.2576, over 14247.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04257, over 335.00 utterances.], tot_loss[loss=0.3876, simple_loss=0.4172, pruned_loss=0.179, over 2781249.63 frames. utt_duration=257.5 frames, utt_pad_proportion=0.0695, over 43450.80 utterances.], batch size: 335, lr: 1.18e-03
+2022-09-17 05:41:20,191 INFO [train.py:885] (0/2) Epoch 3, batch 5050, loss[loss=0.3025, simple_loss=0.3491, pruned_loss=0.128, over 14188.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04394, over 109.00 utterances.], tot_loss[loss=0.3859, simple_loss=0.4171, pruned_loss=0.1773, over 2782194.26 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06988, over 43995.78 utterances.], batch size: 109, lr: 1.18e-03
+2022-09-17 05:41:49,493 INFO [train.py:885] (0/2) Epoch 3, batch 5100, loss[loss=0.349, simple_loss=0.386, pruned_loss=0.156, over 14246.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04547, over 141.00 utterances.], tot_loss[loss=0.389, simple_loss=0.4202, pruned_loss=0.1789, over 2784571.48 frames. utt_duration=247.1 frames, utt_pad_proportion=0.0704, over 45350.42 utterances.], batch size: 141, lr: 1.18e-03
+2022-09-17 05:42:18,624 INFO [train.py:885] (0/2) Epoch 3, batch 5150, loss[loss=0.4046, simple_loss=0.4588, pruned_loss=0.1752, over 13779.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07091, over 411.00 utterances.], tot_loss[loss=0.3873, simple_loss=0.4183, pruned_loss=0.1782, over 2781924.31 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07084, over 45074.54 utterances.], batch size: 411, lr: 1.18e-03
+2022-09-17 05:42:48,223 INFO [train.py:885] (0/2) Epoch 3, batch 5200, loss[loss=0.4324, simple_loss=0.4454, pruned_loss=0.2096, over 14259.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04506, over 141.00 utterances.], tot_loss[loss=0.3914, simple_loss=0.4216, pruned_loss=0.1805, over 2780020.61 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07222, over 46507.21 utterances.], batch size: 141, lr: 1.18e-03
+2022-09-17 05:43:18,971 INFO [train.py:885] (0/2) Epoch 3, batch 5250, loss[loss=0.4981, simple_loss=0.5105, pruned_loss=0.2429, over 13982.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.0571, over 365.00 utterances.], tot_loss[loss=0.3925, simple_loss=0.4228, pruned_loss=0.1811, over 2784741.24 frames. utt_duration=239.5 frames, utt_pad_proportion=0.06996, over 46805.56 utterances.], batch size: 365, lr: 1.18e-03
+2022-09-17 05:43:48,097 INFO [train.py:885] (0/2) Epoch 3, batch 5300, loss[loss=0.4188, simple_loss=0.4402, pruned_loss=0.1987, over 14341.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03448, over 244.00 utterances.], tot_loss[loss=0.3881, simple_loss=0.4188, pruned_loss=0.1787, over 2785436.28 frames. utt_duration=245 frames, utt_pad_proportion=0.06981, over 45757.06 utterances.], batch size: 244, lr: 1.17e-03
+2022-09-17 05:44:17,381 INFO [train.py:885] (0/2) Epoch 3, batch 5350, loss[loss=0.4459, simple_loss=0.4997, pruned_loss=0.1961, over 13652.00 frames. utt_duration=98.88 frames, utt_pad_proportion=0.07588, over 560.00 utterances.], tot_loss[loss=0.3897, simple_loss=0.4197, pruned_loss=0.1799, over 2785079.62 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07032, over 45681.67 utterances.], batch size: 560, lr: 1.17e-03
+2022-09-17 05:44:46,867 INFO [train.py:885] (0/2) Epoch 3, batch 5400, loss[loss=0.3111, simple_loss=0.3502, pruned_loss=0.136, over 14160.00 frames. utt_duration=637.9 frames, utt_pad_proportion=0.04935, over 89.00 utterances.], tot_loss[loss=0.3848, simple_loss=0.4158, pruned_loss=0.1768, over 2783144.87 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07165, over 44530.55 utterances.], batch size: 89, lr: 1.17e-03
+2022-09-17 05:45:16,721 INFO [train.py:885] (0/2) Epoch 3, batch 5450, loss[loss=0.3969, simple_loss=0.4208, pruned_loss=0.1864, over 14251.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04549, over 141.00 utterances.], tot_loss[loss=0.3885, simple_loss=0.4197, pruned_loss=0.1786, over 2787769.07 frames. utt_duration=243 frames, utt_pad_proportion=0.06981, over 46166.66 utterances.], batch size: 141, lr: 1.17e-03
+2022-09-17 05:45:46,543 INFO [train.py:885] (0/2) Epoch 3, batch 5500, loss[loss=0.3888, simple_loss=0.4223, pruned_loss=0.1776, over 14336.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03991, over 167.00 utterances.], tot_loss[loss=0.3881, simple_loss=0.4193, pruned_loss=0.1785, over 2782110.57 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07036, over 45934.06 utterances.], batch size: 167, lr: 1.17e-03
+2022-09-17 05:46:15,458 INFO [train.py:885] (0/2) Epoch 3, batch 5550, loss[loss=0.5513, simple_loss=0.5213, pruned_loss=0.2907, over 14220.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04386, over 335.00 utterances.], tot_loss[loss=0.3913, simple_loss=0.4223, pruned_loss=0.1801, over 2784920.90 frames. utt_duration=239.5 frames, utt_pad_proportion=0.06975, over 46794.18 utterances.], batch size: 335, lr: 1.17e-03
+2022-09-17 05:46:44,926 INFO [train.py:885] (0/2) Epoch 3, batch 5600, loss[loss=0.3353, simple_loss=0.387, pruned_loss=0.1418, over 14237.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04656, over 141.00 utterances.], tot_loss[loss=0.3951, simple_loss=0.4263, pruned_loss=0.1819, over 2780376.75 frames. utt_duration=228.9 frames, utt_pad_proportion=0.07287, over 48898.02 utterances.], batch size: 141, lr: 1.17e-03
+2022-09-17 05:47:14,607 INFO [train.py:885] (0/2) Epoch 3, batch 5650, loss[loss=0.3621, simple_loss=0.4054, pruned_loss=0.1594, over 14278.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.0414, over 120.00 utterances.], tot_loss[loss=0.3945, simple_loss=0.426, pruned_loss=0.1815, over 2781975.28 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07125, over 48577.57 utterances.], batch size: 120, lr: 1.17e-03
+2022-09-17 05:47:44,420 INFO [train.py:885] (0/2) Epoch 3, batch 5700, loss[loss=0.7247, simple_loss=0.7212, pruned_loss=0.3641, over 12505.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.145, over 810.00 utterances.], tot_loss[loss=0.3929, simple_loss=0.4247, pruned_loss=0.1805, over 2771835.95 frames. utt_duration=227.1 frames, utt_pad_proportion=0.07544, over 49145.32 utterances.], batch size: 810, lr: 1.17e-03
+2022-09-17 05:48:13,596 INFO [train.py:885] (0/2) Epoch 3, batch 5750, loss[loss=0.2526, simple_loss=0.2949, pruned_loss=0.1051, over 12711.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1279, over 25.00 utterances.], tot_loss[loss=0.3909, simple_loss=0.4232, pruned_loss=0.1793, over 2773845.03 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07346, over 48406.94 utterances.], batch size: 25, lr: 1.17e-03
+2022-09-17 05:48:43,369 INFO [train.py:885] (0/2) Epoch 3, batch 5800, loss[loss=0.3194, simple_loss=0.346, pruned_loss=0.1464, over 13619.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.07943, over 50.00 utterances.], tot_loss[loss=0.3934, simple_loss=0.4246, pruned_loss=0.1811, over 2773076.40 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07514, over 48102.30 utterances.], batch size: 50, lr: 1.17e-03
+2022-09-17 05:49:12,582 INFO [train.py:885] (0/2) Epoch 3, batch 5850, loss[loss=0.4232, simple_loss=0.4485, pruned_loss=0.199, over 14368.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03682, over 244.00 utterances.], tot_loss[loss=0.3959, simple_loss=0.4258, pruned_loss=0.183, over 2778921.15 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07165, over 47420.53 utterances.], batch size: 244, lr: 1.16e-03
+2022-09-17 05:49:42,341 INFO [train.py:885] (0/2) Epoch 3, batch 5900, loss[loss=0.2448, simple_loss=0.276, pruned_loss=0.1069, over 12496.00 frames. utt_duration=2001 frames, utt_pad_proportion=0.1403, over 25.00 utterances.], tot_loss[loss=0.3938, simple_loss=0.4243, pruned_loss=0.1817, over 2780288.52 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07015, over 46962.46 utterances.], batch size: 25, lr: 1.16e-03
+2022-09-17 05:50:11,671 INFO [train.py:885] (0/2) Epoch 3, batch 5950, loss[loss=0.3229, simple_loss=0.3642, pruned_loss=0.1408, over 14066.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05497, over 98.00 utterances.], tot_loss[loss=0.3945, simple_loss=0.4247, pruned_loss=0.1821, over 2781080.02 frames. utt_duration=237.4 frames, utt_pad_proportion=0.0705, over 47151.22 utterances.], batch size: 98, lr: 1.16e-03
+2022-09-17 05:50:41,471 INFO [train.py:885] (0/2) Epoch 3, batch 6000, loss[loss=0.4905, simple_loss=0.5366, pruned_loss=0.2222, over 13668.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08023, over 478.00 utterances.], tot_loss[loss=0.3898, simple_loss=0.4212, pruned_loss=0.1792, over 2781519.05 frames. utt_duration=240.7 frames, utt_pad_proportion=0.06909, over 46499.80 utterances.], batch size: 478, lr: 1.16e-03
+2022-09-17 05:50:41,472 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 05:50:45,662 INFO [train.py:914] (0/2) Epoch 3, validation: loss=0.2567, simple_loss=0.3201, pruned_loss=0.09671, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 05:51:15,753 INFO [train.py:885] (0/2) Epoch 3, batch 6050, loss[loss=0.2815, simple_loss=0.3308, pruned_loss=0.1161, over 14064.00 frames. utt_duration=713.8 frames, utt_pad_proportion=0.05584, over 79.00 utterances.], tot_loss[loss=0.3911, simple_loss=0.4221, pruned_loss=0.18, over 2780439.33 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07226, over 47317.36 utterances.], batch size: 79, lr: 1.16e-03
+2022-09-17 05:51:45,461 INFO [train.py:885] (0/2) Epoch 3, batch 6100, loss[loss=0.467, simple_loss=0.464, pruned_loss=0.235, over 14353.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03626, over 210.00 utterances.], tot_loss[loss=0.3943, simple_loss=0.4252, pruned_loss=0.1817, over 2777621.86 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07426, over 48682.57 utterances.], batch size: 210, lr: 1.16e-03
+2022-09-17 05:52:15,427 INFO [train.py:885] (0/2) Epoch 3, batch 6150, loss[loss=0.3554, simple_loss=0.3938, pruned_loss=0.1585, over 14347.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03913, over 167.00 utterances.], tot_loss[loss=0.3928, simple_loss=0.424, pruned_loss=0.1808, over 2780999.93 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07287, over 48122.90 utterances.], batch size: 167, lr: 1.16e-03
+2022-09-17 05:52:44,988 INFO [train.py:885] (0/2) Epoch 3, batch 6200, loss[loss=0.2995, simple_loss=0.3339, pruned_loss=0.1326, over 13831.00 frames. utt_duration=923.4 frames, utt_pad_proportion=0.06354, over 60.00 utterances.], tot_loss[loss=0.3899, simple_loss=0.4218, pruned_loss=0.1791, over 2779032.37 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07223, over 47071.52 utterances.], batch size: 60, lr: 1.16e-03
+2022-09-17 05:53:14,421 INFO [train.py:885] (0/2) Epoch 3, batch 6250, loss[loss=0.7233, simple_loss=0.7159, pruned_loss=0.3654, over 12509.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 810.00 utterances.], tot_loss[loss=0.3907, simple_loss=0.4223, pruned_loss=0.1796, over 2779653.16 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07158, over 46601.65 utterances.], batch size: 810, lr: 1.16e-03
+2022-09-17 05:53:43,596 INFO [train.py:885] (0/2) Epoch 3, batch 6300, loss[loss=0.259, simple_loss=0.3119, pruned_loss=0.103, over 13477.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09199, over 50.00 utterances.], tot_loss[loss=0.3848, simple_loss=0.4173, pruned_loss=0.1761, over 2775304.37 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07284, over 45634.65 utterances.], batch size: 50, lr: 1.16e-03
+2022-09-17 05:54:13,496 INFO [train.py:885] (0/2) Epoch 3, batch 6350, loss[loss=0.4218, simple_loss=0.4762, pruned_loss=0.1837, over 13828.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06759, over 411.00 utterances.], tot_loss[loss=0.3884, simple_loss=0.4205, pruned_loss=0.1781, over 2774782.41 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07421, over 47101.74 utterances.], batch size: 411, lr: 1.16e-03
+2022-09-17 05:54:43,331 INFO [train.py:885] (0/2) Epoch 3, batch 6400, loss[loss=0.3354, simple_loss=0.3815, pruned_loss=0.1447, over 14297.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03826, over 130.00 utterances.], tot_loss[loss=0.382, simple_loss=0.4149, pruned_loss=0.1746, over 2773615.13 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07225, over 45199.63 utterances.], batch size: 130, lr: 1.15e-03
+2022-09-17 05:55:12,268 INFO [train.py:885] (0/2) Epoch 3, batch 6450, loss[loss=0.2682, simple_loss=0.3026, pruned_loss=0.117, over 11938.00 frames. utt_duration=1991 frames, utt_pad_proportion=0.1854, over 24.00 utterances.], tot_loss[loss=0.3809, simple_loss=0.414, pruned_loss=0.1739, over 2777524.71 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07015, over 44328.11 utterances.], batch size: 24, lr: 1.15e-03
+2022-09-17 05:55:42,381 INFO [train.py:885] (0/2) Epoch 3, batch 6500, loss[loss=0.2854, simple_loss=0.3319, pruned_loss=0.1194, over 14176.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04787, over 89.00 utterances.], tot_loss[loss=0.3828, simple_loss=0.4156, pruned_loss=0.175, over 2775419.82 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07065, over 44909.24 utterances.], batch size: 89, lr: 1.15e-03
+2022-09-17 05:56:11,353 INFO [train.py:885] (0/2) Epoch 3, batch 6550, loss[loss=0.3851, simple_loss=0.4167, pruned_loss=0.1767, over 14313.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04112, over 167.00 utterances.], tot_loss[loss=0.3837, simple_loss=0.4166, pruned_loss=0.1754, over 2777334.52 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07155, over 45653.83 utterances.], batch size: 167, lr: 1.15e-03
+2022-09-17 05:56:40,978 INFO [train.py:885] (0/2) Epoch 3, batch 6600, loss[loss=0.4811, simple_loss=0.4701, pruned_loss=0.246, over 14314.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03894, over 120.00 utterances.], tot_loss[loss=0.3799, simple_loss=0.413, pruned_loss=0.1734, over 2782328.82 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06919, over 44288.92 utterances.], batch size: 120, lr: 1.15e-03
+2022-09-17 05:57:10,429 INFO [train.py:885] (0/2) Epoch 3, batch 6650, loss[loss=0.7078, simple_loss=0.7067, pruned_loss=0.3544, over 12433.00 frames. utt_duration=62.99 frames, utt_pad_proportion=0.1487, over 810.00 utterances.], tot_loss[loss=0.3831, simple_loss=0.4162, pruned_loss=0.175, over 2784319.09 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06953, over 45339.67 utterances.], batch size: 810, lr: 1.15e-03
+2022-09-17 05:57:39,836 INFO [train.py:885] (0/2) Epoch 3, batch 6700, loss[loss=0.2496, simple_loss=0.3029, pruned_loss=0.09818, over 13887.00 frames. utt_duration=806.6 frames, utt_pad_proportion=0.06097, over 69.00 utterances.], tot_loss[loss=0.3821, simple_loss=0.4153, pruned_loss=0.1745, over 2786025.11 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06939, over 44874.50 utterances.], batch size: 69, lr: 1.15e-03
+2022-09-17 05:58:09,238 INFO [train.py:885] (0/2) Epoch 3, batch 6750, loss[loss=0.3426, simple_loss=0.37, pruned_loss=0.1577, over 14183.00 frames. utt_duration=580.3 frames, utt_pad_proportion=0.04712, over 98.00 utterances.], tot_loss[loss=0.3785, simple_loss=0.4117, pruned_loss=0.1727, over 2786255.36 frames. utt_duration=261.2 frames, utt_pad_proportion=0.06781, over 42908.57 utterances.], batch size: 98, lr: 1.15e-03
+2022-09-17 05:58:15,314 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-32000.pt
+2022-09-17 05:58:39,534 INFO [train.py:885] (0/2) Epoch 3, batch 6800, loss[loss=0.2952, simple_loss=0.3501, pruned_loss=0.1202, over 14209.00 frames. utt_duration=640.2 frames, utt_pad_proportion=0.04595, over 89.00 utterances.], tot_loss[loss=0.3836, simple_loss=0.4165, pruned_loss=0.1754, over 2779614.62 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07239, over 45324.00 utterances.], batch size: 89, lr: 1.15e-03
+2022-09-17 05:59:09,134 INFO [train.py:885] (0/2) Epoch 3, batch 6850, loss[loss=0.4893, simple_loss=0.5187, pruned_loss=0.23, over 13609.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08266, over 477.00 utterances.], tot_loss[loss=0.3858, simple_loss=0.418, pruned_loss=0.1768, over 2777411.62 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07278, over 45986.30 utterances.], batch size: 477, lr: 1.15e-03
+2022-09-17 05:59:38,670 INFO [train.py:885] (0/2) Epoch 3, batch 6900, loss[loss=0.3456, simple_loss=0.3822, pruned_loss=0.1545, over 14326.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.03652, over 130.00 utterances.], tot_loss[loss=0.3881, simple_loss=0.4201, pruned_loss=0.1781, over 2779992.87 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07225, over 46772.70 utterances.], batch size: 130, lr: 1.15e-03
+2022-09-17 06:00:08,296 INFO [train.py:885] (0/2) Epoch 3, batch 6950, loss[loss=0.4675, simple_loss=0.4593, pruned_loss=0.2378, over 14292.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03885, over 130.00 utterances.], tot_loss[loss=0.3861, simple_loss=0.4182, pruned_loss=0.177, over 2784475.03 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06966, over 45759.86 utterances.], batch size: 130, lr: 1.14e-03
+2022-09-17 06:00:37,405 INFO [train.py:885] (0/2) Epoch 3, batch 7000, loss[loss=0.3133, simple_loss=0.3398, pruned_loss=0.1434, over 13212.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.0988, over 41.00 utterances.], tot_loss[loss=0.3849, simple_loss=0.4169, pruned_loss=0.1764, over 2783276.43 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07016, over 45186.43 utterances.], batch size: 41, lr: 1.14e-03
+2022-09-17 06:01:06,986 INFO [train.py:885] (0/2) Epoch 3, batch 7050, loss[loss=0.3437, simple_loss=0.3724, pruned_loss=0.1575, over 14350.00 frames. utt_duration=479.7 frames, utt_pad_proportion=0.0367, over 120.00 utterances.], tot_loss[loss=0.3854, simple_loss=0.4174, pruned_loss=0.1766, over 2782306.87 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06884, over 45215.33 utterances.], batch size: 120, lr: 1.14e-03
+2022-09-17 06:01:36,733 INFO [train.py:885] (0/2) Epoch 3, batch 7100, loss[loss=0.4543, simple_loss=0.4648, pruned_loss=0.2219, over 14304.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04012, over 262.00 utterances.], tot_loss[loss=0.384, simple_loss=0.4165, pruned_loss=0.1757, over 2782509.36 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06813, over 44832.63 utterances.], batch size: 262, lr: 1.14e-03
+2022-09-17 06:02:06,235 INFO [train.py:885] (0/2) Epoch 3, batch 7150, loss[loss=0.3191, simple_loss=0.3671, pruned_loss=0.1355, over 14315.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03931, over 130.00 utterances.], tot_loss[loss=0.3829, simple_loss=0.4153, pruned_loss=0.1753, over 2783501.69 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06795, over 44286.51 utterances.], batch size: 130, lr: 1.14e-03
+2022-09-17 06:02:36,044 INFO [train.py:885] (0/2) Epoch 3, batch 7200, loss[loss=0.4385, simple_loss=0.4833, pruned_loss=0.1968, over 14006.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05581, over 365.00 utterances.], tot_loss[loss=0.3889, simple_loss=0.421, pruned_loss=0.1783, over 2785272.38 frames. utt_duration=240.3 frames, utt_pad_proportion=0.06905, over 46651.30 utterances.], batch size: 365, lr: 1.14e-03
+2022-09-17 06:03:05,121 INFO [train.py:885] (0/2) Epoch 3, batch 7250, loss[loss=0.2859, simple_loss=0.3311, pruned_loss=0.1204, over 14234.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.04879, over 99.00 utterances.], tot_loss[loss=0.3833, simple_loss=0.4156, pruned_loss=0.1755, over 2783264.90 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06838, over 44503.60 utterances.], batch size: 99, lr: 1.14e-03
+2022-09-17 06:03:34,823 INFO [train.py:885] (0/2) Epoch 3, batch 7300, loss[loss=0.3789, simple_loss=0.4081, pruned_loss=0.1749, over 14311.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03941, over 120.00 utterances.], tot_loss[loss=0.3812, simple_loss=0.4143, pruned_loss=0.174, over 2784623.50 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06846, over 44693.84 utterances.], batch size: 120, lr: 1.14e-03
+2022-09-17 06:04:04,128 INFO [train.py:885] (0/2) Epoch 3, batch 7350, loss[loss=0.357, simple_loss=0.4064, pruned_loss=0.1538, over 14349.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03866, over 167.00 utterances.], tot_loss[loss=0.3805, simple_loss=0.4141, pruned_loss=0.1735, over 2784893.78 frames. utt_duration=251.4 frames, utt_pad_proportion=0.0702, over 44568.04 utterances.], batch size: 167, lr: 1.14e-03
+2022-09-17 06:04:34,164 INFO [train.py:885] (0/2) Epoch 3, batch 7400, loss[loss=0.8335, simple_loss=0.7922, pruned_loss=0.4374, over 12500.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1451, over 810.00 utterances.], tot_loss[loss=0.3846, simple_loss=0.418, pruned_loss=0.1756, over 2779845.89 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07306, over 46291.39 utterances.], batch size: 810, lr: 1.14e-03
+2022-09-17 06:05:03,384 INFO [train.py:885] (0/2) Epoch 3, batch 7450, loss[loss=0.3849, simple_loss=0.4319, pruned_loss=0.1689, over 14369.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03536, over 210.00 utterances.], tot_loss[loss=0.3824, simple_loss=0.4161, pruned_loss=0.1743, over 2780439.18 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07088, over 45326.79 utterances.], batch size: 210, lr: 1.14e-03
+2022-09-17 06:05:33,144 INFO [train.py:885] (0/2) Epoch 3, batch 7500, loss[loss=0.2884, simple_loss=0.3209, pruned_loss=0.1279, over 13853.00 frames. utt_duration=804.5 frames, utt_pad_proportion=0.06231, over 69.00 utterances.], tot_loss[loss=0.3839, simple_loss=0.4172, pruned_loss=0.1753, over 2776042.47 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07299, over 46567.88 utterances.], batch size: 69, lr: 1.14e-03
+2022-09-17 06:06:02,530 INFO [train.py:885] (0/2) Epoch 3, batch 7550, loss[loss=0.4468, simple_loss=0.501, pruned_loss=0.1963, over 13596.00 frames. utt_duration=98.49 frames, utt_pad_proportion=0.07952, over 560.00 utterances.], tot_loss[loss=0.3834, simple_loss=0.4167, pruned_loss=0.1751, over 2776287.23 frames. utt_duration=241 frames, utt_pad_proportion=0.07213, over 46359.59 utterances.], batch size: 560, lr: 1.13e-03
+2022-09-17 06:06:31,724 INFO [train.py:885] (0/2) Epoch 3, batch 7600, loss[loss=0.489, simple_loss=0.4919, pruned_loss=0.243, over 14361.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03524, over 210.00 utterances.], tot_loss[loss=0.3796, simple_loss=0.4131, pruned_loss=0.173, over 2778255.35 frames. utt_duration=250 frames, utt_pad_proportion=0.07051, over 44715.33 utterances.], batch size: 210, lr: 1.13e-03
+2022-09-17 06:07:01,631 INFO [train.py:885] (0/2) Epoch 3, batch 7650, loss[loss=0.5496, simple_loss=0.5341, pruned_loss=0.2826, over 14251.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04157, over 306.00 utterances.], tot_loss[loss=0.3841, simple_loss=0.4171, pruned_loss=0.1756, over 2780265.47 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07054, over 45460.12 utterances.], batch size: 306, lr: 1.13e-03
+2022-09-17 06:07:31,240 INFO [train.py:885] (0/2) Epoch 3, batch 7700, loss[loss=0.4744, simple_loss=0.5265, pruned_loss=0.2112, over 13625.00 frames. utt_duration=98.74 frames, utt_pad_proportion=0.07724, over 560.00 utterances.], tot_loss[loss=0.3814, simple_loss=0.415, pruned_loss=0.1739, over 2783265.82 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06867, over 45028.85 utterances.], batch size: 560, lr: 1.13e-03
+2022-09-17 06:08:01,467 INFO [train.py:885] (0/2) Epoch 3, batch 7750, loss[loss=0.4041, simple_loss=0.4225, pruned_loss=0.1928, over 14353.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03875, over 167.00 utterances.], tot_loss[loss=0.3821, simple_loss=0.4159, pruned_loss=0.1742, over 2786958.46 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06821, over 45176.38 utterances.], batch size: 167, lr: 1.13e-03
+2022-09-17 06:08:30,412 INFO [train.py:885] (0/2) Epoch 3, batch 7800, loss[loss=0.4792, simple_loss=0.4904, pruned_loss=0.234, over 14327.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03797, over 283.00 utterances.], tot_loss[loss=0.3805, simple_loss=0.4144, pruned_loss=0.1733, over 2790033.10 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06611, over 44425.63 utterances.], batch size: 283, lr: 1.13e-03
+2022-09-17 06:09:00,951 INFO [train.py:885] (0/2) Epoch 3, batch 7850, loss[loss=0.1919, simple_loss=0.2243, pruned_loss=0.07975, over 12545.00 frames. utt_duration=2009 frames, utt_pad_proportion=0.1617, over 25.00 utterances.], tot_loss[loss=0.3788, simple_loss=0.4132, pruned_loss=0.1722, over 2786581.00 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06922, over 44427.93 utterances.], batch size: 25, lr: 1.13e-03
+2022-09-17 06:09:30,091 INFO [train.py:885] (0/2) Epoch 3, batch 7900, loss[loss=0.3961, simple_loss=0.4023, pruned_loss=0.195, over 14178.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04444, over 109.00 utterances.], tot_loss[loss=0.3808, simple_loss=0.4145, pruned_loss=0.1735, over 2786768.75 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06902, over 45268.59 utterances.], batch size: 109, lr: 1.13e-03
+2022-09-17 06:09:59,416 INFO [train.py:885] (0/2) Epoch 3, batch 7950, loss[loss=0.3738, simple_loss=0.3916, pruned_loss=0.178, over 14193.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04313, over 109.00 utterances.], tot_loss[loss=0.379, simple_loss=0.4126, pruned_loss=0.1727, over 2788659.70 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06846, over 44409.64 utterances.], batch size: 109, lr: 1.13e-03
+2022-09-17 06:10:29,367 INFO [train.py:885] (0/2) Epoch 3, batch 8000, loss[loss=0.4031, simple_loss=0.4294, pruned_loss=0.1884, over 14270.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04025, over 225.00 utterances.], tot_loss[loss=0.3774, simple_loss=0.4118, pruned_loss=0.1715, over 2790214.85 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06806, over 44473.56 utterances.], batch size: 225, lr: 1.13e-03
+2022-09-17 06:11:03,072 INFO [train.py:885] (0/2) Epoch 3, batch 8050, loss[loss=0.2592, simple_loss=0.3035, pruned_loss=0.1074, over 13232.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1027, over 33.00 utterances.], tot_loss[loss=0.3725, simple_loss=0.4079, pruned_loss=0.1685, over 2786199.93 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06778, over 43805.32 utterances.], batch size: 33, lr: 1.13e-03
+2022-09-17 06:11:33,424 INFO [train.py:885] (0/2) Epoch 3, batch 8100, loss[loss=0.2422, simple_loss=0.2694, pruned_loss=0.1075, over 13192.00 frames. utt_duration=2031 frames, utt_pad_proportion=0.1181, over 26.00 utterances.], tot_loss[loss=0.3803, simple_loss=0.414, pruned_loss=0.1733, over 2783808.09 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07011, over 45243.25 utterances.], batch size: 26, lr: 1.13e-03
+2022-09-17 06:12:03,348 INFO [train.py:885] (0/2) Epoch 3, batch 8150, loss[loss=0.5302, simple_loss=0.55, pruned_loss=0.2552, over 13693.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07767, over 477.00 utterances.], tot_loss[loss=0.3793, simple_loss=0.4133, pruned_loss=0.1726, over 2785903.92 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06829, over 45041.77 utterances.], batch size: 477, lr: 1.12e-03
+2022-09-17 06:12:33,148 INFO [train.py:885] (0/2) Epoch 3, batch 8200, loss[loss=0.2464, simple_loss=0.2984, pruned_loss=0.09719, over 12791.00 frames. utt_duration=1552 frames, utt_pad_proportion=0.1361, over 33.00 utterances.], tot_loss[loss=0.3775, simple_loss=0.4114, pruned_loss=0.1718, over 2780170.95 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07031, over 44339.29 utterances.], batch size: 33, lr: 1.12e-03
+2022-09-17 06:13:02,890 INFO [train.py:885] (0/2) Epoch 3, batch 8250, loss[loss=0.3357, simple_loss=0.3782, pruned_loss=0.1466, over 14303.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03973, over 120.00 utterances.], tot_loss[loss=0.3807, simple_loss=0.414, pruned_loss=0.1736, over 2778016.45 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07277, over 45574.39 utterances.], batch size: 120, lr: 1.12e-03
+2022-09-17 06:13:32,077 INFO [train.py:885] (0/2) Epoch 3, batch 8300, loss[loss=0.2251, simple_loss=0.2417, pruned_loss=0.1042, over 12674.00 frames. utt_duration=2114 frames, utt_pad_proportion=0.1484, over 24.00 utterances.], tot_loss[loss=0.3804, simple_loss=0.4135, pruned_loss=0.1736, over 2781929.32 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07154, over 44871.90 utterances.], batch size: 24, lr: 1.12e-03
+2022-09-17 06:14:01,605 INFO [train.py:885] (0/2) Epoch 3, batch 8350, loss[loss=0.4332, simple_loss=0.474, pruned_loss=0.1962, over 14005.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05791, over 366.00 utterances.], tot_loss[loss=0.3776, simple_loss=0.4113, pruned_loss=0.1719, over 2781641.16 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07107, over 44378.69 utterances.], batch size: 366, lr: 1.12e-03
+2022-09-17 06:14:31,285 INFO [train.py:885] (0/2) Epoch 3, batch 8400, loss[loss=0.4024, simple_loss=0.4492, pruned_loss=0.1778, over 14020.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05428, over 365.00 utterances.], tot_loss[loss=0.3806, simple_loss=0.4141, pruned_loss=0.1735, over 2779800.35 frames. utt_duration=245 frames, utt_pad_proportion=0.0723, over 45662.73 utterances.], batch size: 365, lr: 1.12e-03
+2022-09-17 06:15:00,939 INFO [train.py:885] (0/2) Epoch 3, batch 8450, loss[loss=0.3899, simple_loss=0.4241, pruned_loss=0.1779, over 14331.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03498, over 244.00 utterances.], tot_loss[loss=0.382, simple_loss=0.4159, pruned_loss=0.1741, over 2781808.81 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07318, over 46466.83 utterances.], batch size: 244, lr: 1.12e-03
+2022-09-17 06:15:30,089 INFO [train.py:885] (0/2) Epoch 3, batch 8500, loss[loss=0.3194, simple_loss=0.3621, pruned_loss=0.1383, over 14095.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05275, over 98.00 utterances.], tot_loss[loss=0.3757, simple_loss=0.4099, pruned_loss=0.1707, over 2778583.36 frames. utt_duration=256.5 frames, utt_pad_proportion=0.07275, over 43588.34 utterances.], batch size: 98, lr: 1.12e-03
+2022-09-17 06:16:00,047 INFO [train.py:885] (0/2) Epoch 3, batch 8550, loss[loss=0.3805, simple_loss=0.4387, pruned_loss=0.1611, over 14010.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05535, over 365.00 utterances.], tot_loss[loss=0.3791, simple_loss=0.4133, pruned_loss=0.1724, over 2781167.10 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07265, over 44904.94 utterances.], batch size: 365, lr: 1.12e-03
+2022-09-17 06:16:29,308 INFO [train.py:885] (0/2) Epoch 3, batch 8600, loss[loss=0.2709, simple_loss=0.3147, pruned_loss=0.1136, over 14030.00 frames. utt_duration=711.9 frames, utt_pad_proportion=0.05827, over 79.00 utterances.], tot_loss[loss=0.3778, simple_loss=0.4125, pruned_loss=0.1715, over 2778327.25 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0736, over 44865.15 utterances.], batch size: 79, lr: 1.12e-03
+2022-09-17 06:16:59,255 INFO [train.py:885] (0/2) Epoch 3, batch 8650, loss[loss=0.7048, simple_loss=0.7023, pruned_loss=0.3537, over 12538.00 frames. utt_duration=63.52 frames, utt_pad_proportion=0.1416, over 810.00 utterances.], tot_loss[loss=0.3804, simple_loss=0.4147, pruned_loss=0.1731, over 2780259.24 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07427, over 45311.79 utterances.], batch size: 810, lr: 1.12e-03
+2022-09-17 06:17:28,500 INFO [train.py:885] (0/2) Epoch 3, batch 8700, loss[loss=0.2117, simple_loss=0.2732, pruned_loss=0.07514, over 13233.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1121, over 33.00 utterances.], tot_loss[loss=0.3804, simple_loss=0.4142, pruned_loss=0.1733, over 2779993.18 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07362, over 44914.29 utterances.], batch size: 33, lr: 1.12e-03
+2022-09-17 06:17:58,474 INFO [train.py:885] (0/2) Epoch 3, batch 8750, loss[loss=0.2656, simple_loss=0.3243, pruned_loss=0.1034, over 13496.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.09251, over 50.00 utterances.], tot_loss[loss=0.3801, simple_loss=0.4147, pruned_loss=0.1727, over 2776084.04 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07599, over 46008.63 utterances.], batch size: 50, lr: 1.11e-03
+2022-09-17 06:18:27,754 INFO [train.py:885] (0/2) Epoch 3, batch 8800, loss[loss=0.4918, simple_loss=0.4957, pruned_loss=0.244, over 14229.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04359, over 335.00 utterances.], tot_loss[loss=0.3799, simple_loss=0.4147, pruned_loss=0.1725, over 2775488.87 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07544, over 46012.04 utterances.], batch size: 335, lr: 1.11e-03
+2022-09-17 06:18:57,327 INFO [train.py:885] (0/2) Epoch 3, batch 8850, loss[loss=0.2359, simple_loss=0.2837, pruned_loss=0.09408, over 13952.00 frames. utt_duration=810.4 frames, utt_pad_proportion=0.05659, over 69.00 utterances.], tot_loss[loss=0.3802, simple_loss=0.4145, pruned_loss=0.173, over 2776395.25 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07584, over 45692.52 utterances.], batch size: 69, lr: 1.11e-03
+2022-09-17 06:19:27,025 INFO [train.py:885] (0/2) Epoch 3, batch 8900, loss[loss=0.4329, simple_loss=0.4929, pruned_loss=0.1864, over 13666.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08084, over 478.00 utterances.], tot_loss[loss=0.3781, simple_loss=0.4137, pruned_loss=0.1713, over 2782926.04 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07322, over 45568.33 utterances.], batch size: 478, lr: 1.11e-03
+2022-09-17 06:19:56,446 INFO [train.py:885] (0/2) Epoch 3, batch 8950, loss[loss=0.3618, simple_loss=0.4017, pruned_loss=0.1609, over 14403.00 frames. utt_duration=346.5 frames, utt_pad_proportion=0.03483, over 167.00 utterances.], tot_loss[loss=0.3771, simple_loss=0.4126, pruned_loss=0.1708, over 2778456.74 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07288, over 45356.93 utterances.], batch size: 167, lr: 1.11e-03
+2022-09-17 06:20:26,323 INFO [train.py:885] (0/2) Epoch 3, batch 9000, loss[loss=0.4126, simple_loss=0.4666, pruned_loss=0.1793, over 13984.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05745, over 365.00 utterances.], tot_loss[loss=0.3704, simple_loss=0.4063, pruned_loss=0.1673, over 2778328.99 frames. utt_duration=256.3 frames, utt_pad_proportion=0.07188, over 43619.18 utterances.], batch size: 365, lr: 1.11e-03
+2022-09-17 06:20:26,325 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 06:20:30,990 INFO [train.py:914] (0/2) Epoch 3, validation: loss=0.2395, simple_loss=0.3069, pruned_loss=0.08608, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 06:21:00,661 INFO [train.py:885] (0/2) Epoch 3, batch 9050, loss[loss=0.3418, simple_loss=0.3965, pruned_loss=0.1435, over 14225.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04703, over 141.00 utterances.], tot_loss[loss=0.3694, simple_loss=0.4056, pruned_loss=0.1666, over 2781905.79 frames. utt_duration=260.3 frames, utt_pad_proportion=0.07012, over 42987.35 utterances.], batch size: 141, lr: 1.11e-03
+2022-09-17 06:21:30,117 INFO [train.py:885] (0/2) Epoch 3, batch 9100, loss[loss=0.4672, simple_loss=0.4762, pruned_loss=0.2291, over 14228.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04309, over 335.00 utterances.], tot_loss[loss=0.372, simple_loss=0.4071, pruned_loss=0.1684, over 2782667.04 frames. utt_duration=263.5 frames, utt_pad_proportion=0.06797, over 42477.38 utterances.], batch size: 335, lr: 1.11e-03
+2022-09-17 06:22:00,128 INFO [train.py:885] (0/2) Epoch 3, batch 9150, loss[loss=0.4476, simple_loss=0.4791, pruned_loss=0.208, over 13982.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05683, over 365.00 utterances.], tot_loss[loss=0.3723, simple_loss=0.408, pruned_loss=0.1683, over 2779296.20 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06871, over 43321.55 utterances.], batch size: 365, lr: 1.11e-03
+2022-09-17 06:22:29,670 INFO [train.py:885] (0/2) Epoch 3, batch 9200, loss[loss=0.3044, simple_loss=0.354, pruned_loss=0.1274, over 13949.00 frames. utt_duration=707.9 frames, utt_pad_proportion=0.06368, over 79.00 utterances.], tot_loss[loss=0.3721, simple_loss=0.4081, pruned_loss=0.168, over 2782907.42 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06692, over 43478.31 utterances.], batch size: 79, lr: 1.11e-03
+2022-09-17 06:22:58,713 INFO [train.py:885] (0/2) Epoch 3, batch 9250, loss[loss=0.3504, simple_loss=0.3603, pruned_loss=0.1702, over 13912.00 frames. utt_duration=705.8 frames, utt_pad_proportion=0.06642, over 79.00 utterances.], tot_loss[loss=0.3737, simple_loss=0.4091, pruned_loss=0.1691, over 2780456.59 frames. utt_duration=257 frames, utt_pad_proportion=0.06885, over 43533.00 utterances.], batch size: 79, lr: 1.11e-03
+2022-09-17 06:23:28,598 INFO [train.py:885] (0/2) Epoch 3, batch 9300, loss[loss=0.2823, simple_loss=0.3334, pruned_loss=0.1156, over 14191.00 frames. utt_duration=639.3 frames, utt_pad_proportion=0.04729, over 89.00 utterances.], tot_loss[loss=0.3715, simple_loss=0.4072, pruned_loss=0.1679, over 2776595.85 frames. utt_duration=259.5 frames, utt_pad_proportion=0.06964, over 43049.43 utterances.], batch size: 89, lr: 1.11e-03
+2022-09-17 06:23:57,862 INFO [train.py:885] (0/2) Epoch 3, batch 9350, loss[loss=0.2702, simple_loss=0.3202, pruned_loss=0.1101, over 14209.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04239, over 109.00 utterances.], tot_loss[loss=0.3732, simple_loss=0.4086, pruned_loss=0.1689, over 2775457.97 frames. utt_duration=256.9 frames, utt_pad_proportion=0.07011, over 43461.52 utterances.], batch size: 109, lr: 1.11e-03
+2022-09-17 06:24:27,527 INFO [train.py:885] (0/2) Epoch 3, batch 9400, loss[loss=0.1953, simple_loss=0.2437, pruned_loss=0.07339, over 13223.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.09274, over 33.00 utterances.], tot_loss[loss=0.3685, simple_loss=0.4051, pruned_loss=0.166, over 2773034.90 frames. utt_duration=258.5 frames, utt_pad_proportion=0.07106, over 43163.72 utterances.], batch size: 33, lr: 1.10e-03
+2022-09-17 06:24:57,063 INFO [train.py:885] (0/2) Epoch 3, batch 9450, loss[loss=0.258, simple_loss=0.3005, pruned_loss=0.1077, over 13190.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1135, over 33.00 utterances.], tot_loss[loss=0.3715, simple_loss=0.4082, pruned_loss=0.1673, over 2768619.33 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07375, over 44904.19 utterances.], batch size: 33, lr: 1.10e-03
+2022-09-17 06:25:26,826 INFO [train.py:885] (0/2) Epoch 3, batch 9500, loss[loss=0.4059, simple_loss=0.4529, pruned_loss=0.1795, over 14003.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05586, over 365.00 utterances.], tot_loss[loss=0.3698, simple_loss=0.407, pruned_loss=0.1663, over 2770838.86 frames. utt_duration=249.5 frames, utt_pad_proportion=0.0727, over 44679.54 utterances.], batch size: 365, lr: 1.10e-03
+2022-09-17 06:25:56,584 INFO [train.py:885] (0/2) Epoch 3, batch 9550, loss[loss=0.455, simple_loss=0.4664, pruned_loss=0.2218, over 14327.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0378, over 283.00 utterances.], tot_loss[loss=0.3725, simple_loss=0.4089, pruned_loss=0.1681, over 2770422.03 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07362, over 44897.06 utterances.], batch size: 283, lr: 1.10e-03
+2022-09-17 06:26:25,920 INFO [train.py:885] (0/2) Epoch 3, batch 9600, loss[loss=0.3038, simple_loss=0.3346, pruned_loss=0.1365, over 13775.00 frames. utt_duration=920 frames, utt_pad_proportion=0.07261, over 60.00 utterances.], tot_loss[loss=0.374, simple_loss=0.4102, pruned_loss=0.1689, over 2772139.20 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07435, over 45475.32 utterances.], batch size: 60, lr: 1.10e-03
+2022-09-17 06:26:56,059 INFO [train.py:885] (0/2) Epoch 3, batch 9650, loss[loss=0.2947, simple_loss=0.3383, pruned_loss=0.1256, over 14356.00 frames. utt_duration=480 frames, utt_pad_proportion=0.03608, over 120.00 utterances.], tot_loss[loss=0.3787, simple_loss=0.4138, pruned_loss=0.1717, over 2766376.29 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07699, over 46961.25 utterances.], batch size: 120, lr: 1.10e-03
+2022-09-17 06:27:25,368 INFO [train.py:885] (0/2) Epoch 3, batch 9700, loss[loss=0.3943, simple_loss=0.4156, pruned_loss=0.1866, over 14307.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03756, over 130.00 utterances.], tot_loss[loss=0.3781, simple_loss=0.4128, pruned_loss=0.1717, over 2769551.72 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07591, over 46270.95 utterances.], batch size: 130, lr: 1.10e-03
+2022-09-17 06:27:53,967 INFO [train.py:885] (0/2) Epoch 3, batch 9750, loss[loss=0.5659, simple_loss=0.5403, pruned_loss=0.2958, over 14315.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03935, over 283.00 utterances.], tot_loss[loss=0.3765, simple_loss=0.4111, pruned_loss=0.171, over 2775089.56 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07231, over 44856.98 utterances.], batch size: 283, lr: 1.10e-03
+2022-09-17 06:28:23,224 INFO [train.py:885] (0/2) Epoch 3, batch 9800, loss[loss=0.4425, simple_loss=0.4676, pruned_loss=0.2087, over 14312.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03868, over 210.00 utterances.], tot_loss[loss=0.3738, simple_loss=0.4092, pruned_loss=0.1692, over 2780020.68 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06952, over 44009.66 utterances.], batch size: 210, lr: 1.10e-03
+2022-09-17 06:28:52,715 INFO [train.py:885] (0/2) Epoch 3, batch 9850, loss[loss=0.5754, simple_loss=0.5846, pruned_loss=0.283, over 13624.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07707, over 560.00 utterances.], tot_loss[loss=0.3737, simple_loss=0.4102, pruned_loss=0.1686, over 2784180.16 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06728, over 44672.04 utterances.], batch size: 560, lr: 1.10e-03
+2022-09-17 06:29:30,921 INFO [train.py:885] (0/2) Epoch 3, batch 9900, loss[loss=0.6595, simple_loss=0.65, pruned_loss=0.3345, over 13199.00 frames. utt_duration=82.38 frames, utt_pad_proportion=0.1046, over 653.00 utterances.], tot_loss[loss=0.3738, simple_loss=0.4107, pruned_loss=0.1685, over 2781561.54 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06919, over 45035.99 utterances.], batch size: 653, lr: 1.10e-03
+2022-09-17 06:30:00,631 INFO [train.py:885] (0/2) Epoch 3, batch 9950, loss[loss=0.4023, simple_loss=0.4694, pruned_loss=0.1676, over 13635.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.0773, over 560.00 utterances.], tot_loss[loss=0.3686, simple_loss=0.4059, pruned_loss=0.1656, over 2784168.35 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06712, over 43286.73 utterances.], batch size: 560, lr: 1.10e-03
+2022-09-17 06:30:29,932 INFO [train.py:885] (0/2) Epoch 3, batch 10000, loss[loss=0.4338, simple_loss=0.4653, pruned_loss=0.2011, over 14248.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04189, over 225.00 utterances.], tot_loss[loss=0.3691, simple_loss=0.4058, pruned_loss=0.1662, over 2779464.41 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06984, over 42711.76 utterances.], batch size: 225, lr: 1.10e-03
+2022-09-17 06:30:59,234 INFO [train.py:885] (0/2) Epoch 3, batch 10050, loss[loss=0.4368, simple_loss=0.4535, pruned_loss=0.2101, over 14197.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04478, over 306.00 utterances.], tot_loss[loss=0.3741, simple_loss=0.4104, pruned_loss=0.1689, over 2780478.77 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06914, over 44296.56 utterances.], batch size: 306, lr: 1.09e-03
+2022-09-17 06:31:28,455 INFO [train.py:885] (0/2) Epoch 3, batch 10100, loss[loss=0.3978, simple_loss=0.4575, pruned_loss=0.169, over 13752.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07268, over 411.00 utterances.], tot_loss[loss=0.3682, simple_loss=0.405, pruned_loss=0.1657, over 2780793.10 frames. utt_duration=265.2 frames, utt_pad_proportion=0.06668, over 42170.80 utterances.], batch size: 411, lr: 1.09e-03
+2022-09-17 06:31:58,193 INFO [train.py:885] (0/2) Epoch 3, batch 10150, loss[loss=0.3275, simple_loss=0.3738, pruned_loss=0.1406, over 14310.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03921, over 120.00 utterances.], tot_loss[loss=0.3732, simple_loss=0.4095, pruned_loss=0.1685, over 2776818.13 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07113, over 44051.00 utterances.], batch size: 120, lr: 1.09e-03
+2022-09-17 06:32:27,408 INFO [train.py:885] (0/2) Epoch 3, batch 10200, loss[loss=0.346, simple_loss=0.3835, pruned_loss=0.1543, over 14214.00 frames. utt_duration=522.8 frames, utt_pad_proportion=0.04241, over 109.00 utterances.], tot_loss[loss=0.3745, simple_loss=0.4092, pruned_loss=0.1699, over 2776389.40 frames. utt_duration=260.2 frames, utt_pad_proportion=0.07033, over 42917.65 utterances.], batch size: 109, lr: 1.09e-03
+2022-09-17 06:32:56,988 INFO [train.py:885] (0/2) Epoch 3, batch 10250, loss[loss=0.5267, simple_loss=0.5708, pruned_loss=0.2413, over 13178.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.3743, simple_loss=0.4097, pruned_loss=0.1694, over 2771819.17 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07284, over 43921.17 utterances.], batch size: 653, lr: 1.09e-03
+2022-09-17 06:33:26,143 INFO [train.py:885] (0/2) Epoch 3, batch 10300, loss[loss=0.4099, simple_loss=0.4496, pruned_loss=0.1851, over 14318.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03799, over 210.00 utterances.], tot_loss[loss=0.3781, simple_loss=0.4124, pruned_loss=0.1719, over 2774850.67 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07291, over 44527.44 utterances.], batch size: 210, lr: 1.09e-03
+2022-09-17 06:33:55,816 INFO [train.py:885] (0/2) Epoch 3, batch 10350, loss[loss=0.3942, simple_loss=0.4225, pruned_loss=0.183, over 14305.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04043, over 154.00 utterances.], tot_loss[loss=0.3759, simple_loss=0.4111, pruned_loss=0.1704, over 2775031.08 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07208, over 44890.22 utterances.], batch size: 154, lr: 1.09e-03
+2022-09-17 06:34:25,759 INFO [train.py:885] (0/2) Epoch 3, batch 10400, loss[loss=0.3804, simple_loss=0.422, pruned_loss=0.1694, over 14315.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04038, over 154.00 utterances.], tot_loss[loss=0.374, simple_loss=0.4092, pruned_loss=0.1694, over 2776931.33 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07251, over 44261.01 utterances.], batch size: 154, lr: 1.09e-03
+2022-09-17 06:34:54,717 INFO [train.py:885] (0/2) Epoch 3, batch 10450, loss[loss=0.3624, simple_loss=0.413, pruned_loss=0.1559, over 14319.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03825, over 210.00 utterances.], tot_loss[loss=0.3753, simple_loss=0.41, pruned_loss=0.1703, over 2782692.94 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06942, over 44203.21 utterances.], batch size: 210, lr: 1.09e-03
+2022-09-17 06:35:23,829 INFO [train.py:885] (0/2) Epoch 3, batch 10500, loss[loss=0.7021, simple_loss=0.6783, pruned_loss=0.363, over 13159.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.3738, simple_loss=0.4087, pruned_loss=0.1695, over 2777782.98 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07227, over 44461.41 utterances.], batch size: 653, lr: 1.09e-03
+2022-09-17 06:35:53,794 INFO [train.py:885] (0/2) Epoch 3, batch 10550, loss[loss=0.3879, simple_loss=0.4407, pruned_loss=0.1676, over 13990.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05874, over 366.00 utterances.], tot_loss[loss=0.3808, simple_loss=0.415, pruned_loss=0.1733, over 2777959.59 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07363, over 46186.41 utterances.], batch size: 366, lr: 1.09e-03
+2022-09-17 06:36:22,873 INFO [train.py:885] (0/2) Epoch 3, batch 10600, loss[loss=0.3096, simple_loss=0.3453, pruned_loss=0.1369, over 14155.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04574, over 109.00 utterances.], tot_loss[loss=0.3822, simple_loss=0.4164, pruned_loss=0.174, over 2779219.56 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07239, over 46307.97 utterances.], batch size: 109, lr: 1.09e-03
+2022-09-17 06:36:52,632 INFO [train.py:885] (0/2) Epoch 3, batch 10650, loss[loss=0.2976, simple_loss=0.3267, pruned_loss=0.1342, over 13022.00 frames. utt_duration=1580 frames, utt_pad_proportion=0.1232, over 33.00 utterances.], tot_loss[loss=0.3834, simple_loss=0.4167, pruned_loss=0.1751, over 2780320.67 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07212, over 45966.60 utterances.], batch size: 33, lr: 1.09e-03
+2022-09-17 06:37:22,550 INFO [train.py:885] (0/2) Epoch 3, batch 10700, loss[loss=0.305, simple_loss=0.3574, pruned_loss=0.1262, over 14086.00 frames. utt_duration=714.7 frames, utt_pad_proportion=0.05468, over 79.00 utterances.], tot_loss[loss=0.3796, simple_loss=0.4141, pruned_loss=0.1726, over 2777699.92 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07351, over 45651.75 utterances.], batch size: 79, lr: 1.08e-03
+2022-09-17 06:37:52,171 INFO [train.py:885] (0/2) Epoch 3, batch 10750, loss[loss=0.4109, simple_loss=0.4869, pruned_loss=0.1675, over 13582.00 frames. utt_duration=98.39 frames, utt_pad_proportion=0.08047, over 560.00 utterances.], tot_loss[loss=0.3844, simple_loss=0.4187, pruned_loss=0.1751, over 2781354.35 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07362, over 47367.54 utterances.], batch size: 560, lr: 1.08e-03
+2022-09-17 06:37:58,395 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-36000.pt
+2022-09-17 06:38:22,148 INFO [train.py:885] (0/2) Epoch 3, batch 10800, loss[loss=0.3635, simple_loss=0.3989, pruned_loss=0.164, over 14337.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03544, over 130.00 utterances.], tot_loss[loss=0.3789, simple_loss=0.4142, pruned_loss=0.1718, over 2777760.29 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07258, over 46023.12 utterances.], batch size: 130, lr: 1.08e-03
+2022-09-17 06:38:51,975 INFO [train.py:885] (0/2) Epoch 3, batch 10850, loss[loss=0.512, simple_loss=0.5494, pruned_loss=0.2373, over 13627.00 frames. utt_duration=98.7 frames, utt_pad_proportion=0.07757, over 560.00 utterances.], tot_loss[loss=0.3739, simple_loss=0.41, pruned_loss=0.1689, over 2774944.80 frames. utt_duration=249.9 frames, utt_pad_proportion=0.0709, over 44674.36 utterances.], batch size: 560, lr: 1.08e-03
+2022-09-17 06:39:21,197 INFO [train.py:885] (0/2) Epoch 3, batch 10900, loss[loss=0.4414, simple_loss=0.4442, pruned_loss=0.2193, over 14295.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03906, over 154.00 utterances.], tot_loss[loss=0.3785, simple_loss=0.4133, pruned_loss=0.1718, over 2776591.98 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07118, over 44899.47 utterances.], batch size: 154, lr: 1.08e-03
+2022-09-17 06:39:50,219 INFO [train.py:885] (0/2) Epoch 3, batch 10950, loss[loss=0.466, simple_loss=0.4765, pruned_loss=0.2278, over 14238.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04282, over 335.00 utterances.], tot_loss[loss=0.375, simple_loss=0.4099, pruned_loss=0.17, over 2775368.75 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06992, over 43852.83 utterances.], batch size: 335, lr: 1.08e-03
+2022-09-17 06:40:19,454 INFO [train.py:885] (0/2) Epoch 3, batch 11000, loss[loss=0.3576, simple_loss=0.3755, pruned_loss=0.1699, over 13909.00 frames. utt_duration=705.8 frames, utt_pad_proportion=0.06522, over 79.00 utterances.], tot_loss[loss=0.3725, simple_loss=0.4077, pruned_loss=0.1686, over 2777863.10 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06984, over 42903.97 utterances.], batch size: 79, lr: 1.08e-03
+2022-09-17 06:40:49,287 INFO [train.py:885] (0/2) Epoch 3, batch 11050, loss[loss=0.585, simple_loss=0.6018, pruned_loss=0.2841, over 13166.00 frames. utt_duration=82.24 frames, utt_pad_proportion=0.1061, over 653.00 utterances.], tot_loss[loss=0.3768, simple_loss=0.4116, pruned_loss=0.1711, over 2780123.58 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06892, over 44337.68 utterances.], batch size: 653, lr: 1.08e-03
+2022-09-17 06:41:18,985 INFO [train.py:885] (0/2) Epoch 3, batch 11100, loss[loss=0.474, simple_loss=0.4816, pruned_loss=0.2332, over 14328.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03767, over 283.00 utterances.], tot_loss[loss=0.3791, simple_loss=0.4139, pruned_loss=0.1722, over 2780838.42 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06857, over 45288.61 utterances.], batch size: 283, lr: 1.08e-03
+2022-09-17 06:41:48,198 INFO [train.py:885] (0/2) Epoch 3, batch 11150, loss[loss=0.4997, simple_loss=0.4971, pruned_loss=0.2512, over 14238.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04197, over 306.00 utterances.], tot_loss[loss=0.3822, simple_loss=0.4166, pruned_loss=0.1738, over 2782654.04 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07012, over 46367.21 utterances.], batch size: 306, lr: 1.08e-03
+2022-09-17 06:42:17,510 INFO [train.py:885] (0/2) Epoch 3, batch 11200, loss[loss=0.3494, simple_loss=0.3996, pruned_loss=0.1496, over 14330.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03683, over 180.00 utterances.], tot_loss[loss=0.3782, simple_loss=0.414, pruned_loss=0.1711, over 2785031.59 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06827, over 45586.68 utterances.], batch size: 180, lr: 1.08e-03
+2022-09-17 06:42:47,174 INFO [train.py:885] (0/2) Epoch 3, batch 11250, loss[loss=0.4351, simple_loss=0.4533, pruned_loss=0.2084, over 14369.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03229, over 244.00 utterances.], tot_loss[loss=0.3809, simple_loss=0.416, pruned_loss=0.1729, over 2781131.78 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0708, over 46222.58 utterances.], batch size: 244, lr: 1.08e-03
+2022-09-17 06:43:17,087 INFO [train.py:885] (0/2) Epoch 3, batch 11300, loss[loss=0.3896, simple_loss=0.4278, pruned_loss=0.1757, over 14345.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.0363, over 195.00 utterances.], tot_loss[loss=0.3733, simple_loss=0.409, pruned_loss=0.1688, over 2779723.28 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07012, over 44472.34 utterances.], batch size: 195, lr: 1.08e-03
+2022-09-17 06:43:46,883 INFO [train.py:885] (0/2) Epoch 3, batch 11350, loss[loss=0.8603, simple_loss=0.7963, pruned_loss=0.4622, over 12514.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1445, over 810.00 utterances.], tot_loss[loss=0.3718, simple_loss=0.4075, pruned_loss=0.1681, over 2776789.14 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07081, over 44400.37 utterances.], batch size: 810, lr: 1.08e-03
+2022-09-17 06:44:16,419 INFO [train.py:885] (0/2) Epoch 3, batch 11400, loss[loss=0.2646, simple_loss=0.3171, pruned_loss=0.1061, over 14114.00 frames. utt_duration=519.5 frames, utt_pad_proportion=0.04858, over 109.00 utterances.], tot_loss[loss=0.37, simple_loss=0.4058, pruned_loss=0.167, over 2778804.05 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06929, over 43512.10 utterances.], batch size: 109, lr: 1.07e-03
+2022-09-17 06:44:46,120 INFO [train.py:885] (0/2) Epoch 3, batch 11450, loss[loss=0.3355, simple_loss=0.375, pruned_loss=0.148, over 14283.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.04116, over 120.00 utterances.], tot_loss[loss=0.3751, simple_loss=0.4108, pruned_loss=0.1698, over 2774300.66 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07297, over 45587.87 utterances.], batch size: 120, lr: 1.07e-03
+2022-09-17 06:45:15,210 INFO [train.py:885] (0/2) Epoch 3, batch 11500, loss[loss=0.264, simple_loss=0.3077, pruned_loss=0.1101, over 13863.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.06264, over 69.00 utterances.], tot_loss[loss=0.3714, simple_loss=0.4081, pruned_loss=0.1673, over 2775517.37 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07251, over 45249.95 utterances.], batch size: 69, lr: 1.07e-03
+2022-09-17 06:45:44,722 INFO [train.py:885] (0/2) Epoch 3, batch 11550, loss[loss=0.3935, simple_loss=0.4574, pruned_loss=0.1648, over 13819.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06929, over 411.00 utterances.], tot_loss[loss=0.3675, simple_loss=0.4056, pruned_loss=0.1647, over 2777975.29 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07135, over 44775.60 utterances.], batch size: 411, lr: 1.07e-03
+2022-09-17 06:46:14,666 INFO [train.py:885] (0/2) Epoch 3, batch 11600, loss[loss=0.4479, simple_loss=0.4901, pruned_loss=0.2029, over 13783.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07034, over 411.00 utterances.], tot_loss[loss=0.3724, simple_loss=0.4099, pruned_loss=0.1674, over 2773037.22 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07628, over 46587.81 utterances.], batch size: 411, lr: 1.07e-03
+2022-09-17 06:46:44,071 INFO [train.py:885] (0/2) Epoch 3, batch 11650, loss[loss=0.4099, simple_loss=0.421, pruned_loss=0.1994, over 14184.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.04781, over 141.00 utterances.], tot_loss[loss=0.3809, simple_loss=0.4178, pruned_loss=0.172, over 2775268.36 frames. utt_duration=226.7 frames, utt_pad_proportion=0.07716, over 49282.47 utterances.], batch size: 141, lr: 1.07e-03
+2022-09-17 06:47:13,868 INFO [train.py:885] (0/2) Epoch 3, batch 11700, loss[loss=0.3237, simple_loss=0.3805, pruned_loss=0.1335, over 14252.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04579, over 141.00 utterances.], tot_loss[loss=0.3795, simple_loss=0.417, pruned_loss=0.171, over 2774296.67 frames. utt_duration=226.8 frames, utt_pad_proportion=0.07691, over 49260.21 utterances.], batch size: 141, lr: 1.07e-03
+2022-09-17 06:47:43,240 INFO [train.py:885] (0/2) Epoch 3, batch 11750, loss[loss=0.4083, simple_loss=0.459, pruned_loss=0.1788, over 14003.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05553, over 365.00 utterances.], tot_loss[loss=0.3761, simple_loss=0.4138, pruned_loss=0.1691, over 2774765.20 frames. utt_duration=230.1 frames, utt_pad_proportion=0.07596, over 48540.29 utterances.], batch size: 365, lr: 1.07e-03
+2022-09-17 06:48:12,935 INFO [train.py:885] (0/2) Epoch 3, batch 11800, loss[loss=0.3725, simple_loss=0.4066, pruned_loss=0.1692, over 14286.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03963, over 180.00 utterances.], tot_loss[loss=0.3739, simple_loss=0.4109, pruned_loss=0.1684, over 2776551.95 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07333, over 46833.33 utterances.], batch size: 180, lr: 1.07e-03
+2022-09-17 06:48:41,682 INFO [train.py:885] (0/2) Epoch 3, batch 11850, loss[loss=0.5083, simple_loss=0.5304, pruned_loss=0.2431, over 13679.00 frames. utt_duration=134.7 frames, utt_pad_proportion=0.07736, over 411.00 utterances.], tot_loss[loss=0.375, simple_loss=0.4121, pruned_loss=0.1689, over 2778491.69 frames. utt_duration=237 frames, utt_pad_proportion=0.0733, over 47184.11 utterances.], batch size: 411, lr: 1.07e-03
+2022-09-17 06:49:11,277 INFO [train.py:885] (0/2) Epoch 3, batch 11900, loss[loss=0.3773, simple_loss=0.4253, pruned_loss=0.1646, over 14351.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03597, over 210.00 utterances.], tot_loss[loss=0.3726, simple_loss=0.4097, pruned_loss=0.1678, over 2777286.44 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07397, over 46562.05 utterances.], batch size: 210, lr: 1.07e-03
+2022-09-17 06:49:40,843 INFO [train.py:885] (0/2) Epoch 3, batch 11950, loss[loss=0.27, simple_loss=0.3147, pruned_loss=0.1127, over 13390.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08675, over 41.00 utterances.], tot_loss[loss=0.3769, simple_loss=0.4133, pruned_loss=0.1703, over 2778601.07 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07274, over 47084.38 utterances.], batch size: 41, lr: 1.07e-03
+2022-09-17 06:50:10,423 INFO [train.py:885] (0/2) Epoch 3, batch 12000, loss[loss=0.3792, simple_loss=0.4455, pruned_loss=0.1565, over 13729.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07424, over 411.00 utterances.], tot_loss[loss=0.377, simple_loss=0.414, pruned_loss=0.17, over 2780901.66 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07114, over 47163.73 utterances.], batch size: 411, lr: 1.07e-03
+2022-09-17 06:50:10,425 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 06:50:14,567 INFO [train.py:914] (0/2) Epoch 3, validation: loss=0.2491, simple_loss=0.3145, pruned_loss=0.0919, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 06:50:44,704 INFO [train.py:885] (0/2) Epoch 3, batch 12050, loss[loss=0.422, simple_loss=0.4429, pruned_loss=0.2005, over 14282.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04112, over 262.00 utterances.], tot_loss[loss=0.3765, simple_loss=0.413, pruned_loss=0.17, over 2779846.42 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07263, over 46881.85 utterances.], batch size: 262, lr: 1.07e-03
+2022-09-17 06:51:13,736 INFO [train.py:885] (0/2) Epoch 3, batch 12100, loss[loss=0.4664, simple_loss=0.4678, pruned_loss=0.2325, over 14368.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03524, over 210.00 utterances.], tot_loss[loss=0.3727, simple_loss=0.4085, pruned_loss=0.1685, over 2784383.74 frames. utt_duration=252.7 frames, utt_pad_proportion=0.0691, over 44331.67 utterances.], batch size: 210, lr: 1.06e-03
+2022-09-17 06:51:43,501 INFO [train.py:885] (0/2) Epoch 3, batch 12150, loss[loss=0.5037, simple_loss=0.5231, pruned_loss=0.2422, over 13976.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05954, over 366.00 utterances.], tot_loss[loss=0.374, simple_loss=0.4098, pruned_loss=0.1691, over 2784182.30 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06742, over 44176.93 utterances.], batch size: 366, lr: 1.06e-03
+2022-09-17 06:52:13,637 INFO [train.py:885] (0/2) Epoch 3, batch 12200, loss[loss=0.4252, simple_loss=0.4529, pruned_loss=0.1988, over 14287.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.0405, over 283.00 utterances.], tot_loss[loss=0.3802, simple_loss=0.415, pruned_loss=0.1728, over 2779573.43 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07055, over 46129.69 utterances.], batch size: 283, lr: 1.06e-03
+2022-09-17 06:52:49,126 INFO [train.py:885] (0/2) Epoch 3, batch 12250, loss[loss=0.2371, simple_loss=0.2951, pruned_loss=0.08957, over 13638.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07933, over 50.00 utterances.], tot_loss[loss=0.3797, simple_loss=0.4143, pruned_loss=0.1726, over 2778781.36 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07136, over 45910.05 utterances.], batch size: 50, lr: 1.06e-03
+2022-09-17 06:53:18,844 INFO [train.py:885] (0/2) Epoch 3, batch 12300, loss[loss=0.5277, simple_loss=0.5166, pruned_loss=0.2694, over 14317.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03852, over 283.00 utterances.], tot_loss[loss=0.3809, simple_loss=0.4156, pruned_loss=0.1731, over 2778469.21 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07246, over 46495.08 utterances.], batch size: 283, lr: 1.06e-03
+2022-09-17 06:53:47,672 INFO [train.py:885] (0/2) Epoch 3, batch 12350, loss[loss=0.3869, simple_loss=0.4265, pruned_loss=0.1737, over 14350.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03616, over 195.00 utterances.], tot_loss[loss=0.3762, simple_loss=0.4117, pruned_loss=0.1704, over 2780308.94 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07149, over 45152.23 utterances.], batch size: 195, lr: 1.06e-03
+2022-09-17 06:54:17,435 INFO [train.py:885] (0/2) Epoch 3, batch 12400, loss[loss=0.3015, simple_loss=0.3136, pruned_loss=0.1447, over 13514.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08246, over 50.00 utterances.], tot_loss[loss=0.3782, simple_loss=0.4133, pruned_loss=0.1715, over 2782061.58 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07091, over 46009.26 utterances.], batch size: 50, lr: 1.06e-03
+2022-09-17 06:54:46,913 INFO [train.py:885] (0/2) Epoch 3, batch 12450, loss[loss=0.3832, simple_loss=0.4515, pruned_loss=0.1574, over 13776.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07118, over 411.00 utterances.], tot_loss[loss=0.3797, simple_loss=0.4144, pruned_loss=0.1725, over 2780488.97 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07265, over 46348.93 utterances.], batch size: 411, lr: 1.06e-03
+2022-09-17 06:55:16,619 INFO [train.py:885] (0/2) Epoch 3, batch 12500, loss[loss=0.2567, simple_loss=0.3167, pruned_loss=0.0983, over 13660.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.07616, over 42.00 utterances.], tot_loss[loss=0.3796, simple_loss=0.4144, pruned_loss=0.1724, over 2783593.50 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07117, over 45961.34 utterances.], batch size: 42, lr: 1.06e-03
+2022-09-17 06:55:46,290 INFO [train.py:885] (0/2) Epoch 3, batch 12550, loss[loss=0.2698, simple_loss=0.3107, pruned_loss=0.1144, over 13811.00 frames. utt_duration=802.1 frames, utt_pad_proportion=0.06622, over 69.00 utterances.], tot_loss[loss=0.377, simple_loss=0.4122, pruned_loss=0.171, over 2782916.22 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07249, over 45199.32 utterances.], batch size: 69, lr: 1.06e-03
+2022-09-17 06:56:14,654 INFO [train.py:885] (0/2) Epoch 3, batch 12600, loss[loss=0.3468, simple_loss=0.3659, pruned_loss=0.1638, over 13786.00 frames. utt_duration=800.7 frames, utt_pad_proportion=0.06793, over 69.00 utterances.], tot_loss[loss=0.38, simple_loss=0.414, pruned_loss=0.173, over 2782761.10 frames. utt_duration=248.4 frames, utt_pad_proportion=0.0721, over 45077.71 utterances.], batch size: 69, lr: 1.06e-03
+2022-09-17 06:56:25,520 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-3.pt
+2022-09-17 06:56:33,099 INFO [train.py:885] (0/2) Epoch 4, batch 0, loss[loss=0.4016, simple_loss=0.4361, pruned_loss=0.1836, over 14186.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04547, over 306.00 utterances.], tot_loss[loss=0.4016, simple_loss=0.4361, pruned_loss=0.1836, over 14186.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04547, over 306.00 utterances.], batch size: 306, lr: 1.03e-03
+2022-09-17 06:57:02,344 INFO [train.py:885] (0/2) Epoch 4, batch 50, loss[loss=0.6981, simple_loss=0.7054, pruned_loss=0.3455, over 12431.00 frames. utt_duration=62.94 frames, utt_pad_proportion=0.1495, over 810.00 utterances.], tot_loss[loss=0.3711, simple_loss=0.409, pruned_loss=0.1665, over 619764.42 frames. utt_duration=236.1 frames, utt_pad_proportion=0.0851, over 10568.25 utterances.], batch size: 810, lr: 1.03e-03
+2022-09-17 06:57:31,494 INFO [train.py:885] (0/2) Epoch 4, batch 100, loss[loss=0.3724, simple_loss=0.3875, pruned_loss=0.1786, over 14061.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05514, over 98.00 utterances.], tot_loss[loss=0.3754, simple_loss=0.4114, pruned_loss=0.1697, over 1104767.03 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07329, over 17743.81 utterances.], batch size: 98, lr: 1.03e-03
+2022-09-17 06:58:01,687 INFO [train.py:885] (0/2) Epoch 4, batch 150, loss[loss=0.3214, simple_loss=0.3597, pruned_loss=0.1415, over 14118.00 frames. utt_duration=577.8 frames, utt_pad_proportion=0.05125, over 98.00 utterances.], tot_loss[loss=0.3759, simple_loss=0.4117, pruned_loss=0.17, over 1475192.66 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07514, over 24479.60 utterances.], batch size: 98, lr: 1.02e-03
+2022-09-17 06:58:31,229 INFO [train.py:885] (0/2) Epoch 4, batch 200, loss[loss=0.3973, simple_loss=0.4282, pruned_loss=0.1832, over 14384.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03167, over 244.00 utterances.], tot_loss[loss=0.3774, simple_loss=0.4126, pruned_loss=0.1711, over 1764505.69 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07086, over 29208.29 utterances.], batch size: 244, lr: 1.02e-03
+2022-09-17 06:59:01,066 INFO [train.py:885] (0/2) Epoch 4, batch 250, loss[loss=0.4076, simple_loss=0.4292, pruned_loss=0.193, over 14357.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03544, over 210.00 utterances.], tot_loss[loss=0.3716, simple_loss=0.4085, pruned_loss=0.1674, over 1996612.88 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06847, over 31954.89 utterances.], batch size: 210, lr: 1.02e-03
+2022-09-17 06:59:29,618 INFO [train.py:885] (0/2) Epoch 4, batch 300, loss[loss=0.2927, simple_loss=0.3295, pruned_loss=0.1279, over 14273.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04505, over 110.00 utterances.], tot_loss[loss=0.3716, simple_loss=0.4078, pruned_loss=0.1677, over 2171964.79 frames. utt_duration=258 frames, utt_pad_proportion=0.06652, over 33861.46 utterances.], batch size: 110, lr: 1.02e-03
+2022-09-17 06:59:59,695 INFO [train.py:885] (0/2) Epoch 4, batch 350, loss[loss=0.3456, simple_loss=0.3841, pruned_loss=0.1536, over 14156.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04587, over 109.00 utterances.], tot_loss[loss=0.3723, simple_loss=0.4088, pruned_loss=0.1679, over 2310536.72 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06672, over 36264.74 utterances.], batch size: 109, lr: 1.02e-03
+2022-09-17 07:00:29,402 INFO [train.py:885] (0/2) Epoch 4, batch 400, loss[loss=0.1928, simple_loss=0.2467, pruned_loss=0.06948, over 13753.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.07793, over 42.00 utterances.], tot_loss[loss=0.368, simple_loss=0.4048, pruned_loss=0.1656, over 2410964.44 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06817, over 37358.76 utterances.], batch size: 42, lr: 1.02e-03
+2022-09-17 07:00:59,118 INFO [train.py:885] (0/2) Epoch 4, batch 450, loss[loss=0.2006, simple_loss=0.2429, pruned_loss=0.07913, over 13569.00 frames. utt_duration=1646 frames, utt_pad_proportion=0.08488, over 33.00 utterances.], tot_loss[loss=0.3714, simple_loss=0.4079, pruned_loss=0.1675, over 2491451.06 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07048, over 39672.86 utterances.], batch size: 33, lr: 1.02e-03
+2022-09-17 07:01:28,544 INFO [train.py:885] (0/2) Epoch 4, batch 500, loss[loss=0.2348, simple_loss=0.2788, pruned_loss=0.09542, over 13055.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1061, over 33.00 utterances.], tot_loss[loss=0.3653, simple_loss=0.4022, pruned_loss=0.1642, over 2558408.42 frames. utt_duration=269.4 frames, utt_pad_proportion=0.06763, over 38198.81 utterances.], batch size: 33, lr: 1.02e-03
+2022-09-17 07:01:58,294 INFO [train.py:885] (0/2) Epoch 4, batch 550, loss[loss=0.5043, simple_loss=0.5529, pruned_loss=0.2279, over 13160.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1071, over 653.00 utterances.], tot_loss[loss=0.3697, simple_loss=0.406, pruned_loss=0.1667, over 2607359.95 frames. utt_duration=262.4 frames, utt_pad_proportion=0.06833, over 39969.99 utterances.], batch size: 653, lr: 1.02e-03
+2022-09-17 07:02:28,035 INFO [train.py:885] (0/2) Epoch 4, batch 600, loss[loss=0.3539, simple_loss=0.4012, pruned_loss=0.1532, over 14249.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04209, over 225.00 utterances.], tot_loss[loss=0.3682, simple_loss=0.4052, pruned_loss=0.1656, over 2645318.23 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06936, over 41261.64 utterances.], batch size: 225, lr: 1.02e-03
+2022-09-17 07:02:57,101 INFO [train.py:885] (0/2) Epoch 4, batch 650, loss[loss=0.2553, simple_loss=0.3172, pruned_loss=0.09667, over 13837.00 frames. utt_duration=803.6 frames, utt_pad_proportion=0.0645, over 69.00 utterances.], tot_loss[loss=0.3662, simple_loss=0.4035, pruned_loss=0.1645, over 2678399.28 frames. utt_duration=262.2 frames, utt_pad_proportion=0.06772, over 41085.19 utterances.], batch size: 69, lr: 1.02e-03
+2022-09-17 07:03:26,194 INFO [train.py:885] (0/2) Epoch 4, batch 700, loss[loss=0.2738, simple_loss=0.3165, pruned_loss=0.1156, over 14106.00 frames. utt_duration=577.1 frames, utt_pad_proportion=0.05243, over 98.00 utterances.], tot_loss[loss=0.3726, simple_loss=0.4094, pruned_loss=0.1679, over 2699446.19 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07055, over 43811.62 utterances.], batch size: 98, lr: 1.02e-03
+2022-09-17 07:03:55,932 INFO [train.py:885] (0/2) Epoch 4, batch 750, loss[loss=0.4636, simple_loss=0.4727, pruned_loss=0.2272, over 14304.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03984, over 283.00 utterances.], tot_loss[loss=0.3739, simple_loss=0.4109, pruned_loss=0.1685, over 2719431.63 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06944, over 44741.25 utterances.], batch size: 283, lr: 1.02e-03
+2022-09-17 07:04:25,373 INFO [train.py:885] (0/2) Epoch 4, batch 800, loss[loss=0.2155, simple_loss=0.2614, pruned_loss=0.08479, over 13813.00 frames. utt_duration=922.2 frames, utt_pad_proportion=0.06756, over 60.00 utterances.], tot_loss[loss=0.3699, simple_loss=0.4074, pruned_loss=0.1662, over 2722463.42 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07131, over 44160.37 utterances.], batch size: 60, lr: 1.02e-03
+2022-09-17 07:04:54,472 INFO [train.py:885] (0/2) Epoch 4, batch 850, loss[loss=0.3205, simple_loss=0.3628, pruned_loss=0.1392, over 14320.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.03849, over 120.00 utterances.], tot_loss[loss=0.3729, simple_loss=0.4105, pruned_loss=0.1676, over 2735694.55 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07162, over 45475.79 utterances.], batch size: 120, lr: 1.02e-03
+2022-09-17 07:05:24,057 INFO [train.py:885] (0/2) Epoch 4, batch 900, loss[loss=0.3483, simple_loss=0.4007, pruned_loss=0.1479, over 14361.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03791, over 167.00 utterances.], tot_loss[loss=0.3724, simple_loss=0.4098, pruned_loss=0.1675, over 2741099.92 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07184, over 44815.95 utterances.], batch size: 167, lr: 1.01e-03
+2022-09-17 07:05:53,879 INFO [train.py:885] (0/2) Epoch 4, batch 950, loss[loss=0.329, simple_loss=0.391, pruned_loss=0.1335, over 14374.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.0349, over 210.00 utterances.], tot_loss[loss=0.3718, simple_loss=0.4099, pruned_loss=0.1669, over 2751783.77 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07101, over 44776.44 utterances.], batch size: 210, lr: 1.01e-03
+2022-09-17 07:06:23,567 INFO [train.py:885] (0/2) Epoch 4, batch 1000, loss[loss=0.3769, simple_loss=0.4189, pruned_loss=0.1675, over 14283.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03906, over 180.00 utterances.], tot_loss[loss=0.3687, simple_loss=0.4074, pruned_loss=0.165, over 2758174.35 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07072, over 43792.16 utterances.], batch size: 180, lr: 1.01e-03
+2022-09-17 07:06:52,934 INFO [train.py:885] (0/2) Epoch 4, batch 1050, loss[loss=0.3666, simple_loss=0.4077, pruned_loss=0.1627, over 14356.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03629, over 210.00 utterances.], tot_loss[loss=0.364, simple_loss=0.403, pruned_loss=0.1625, over 2764182.83 frames. utt_duration=265.8 frames, utt_pad_proportion=0.06806, over 41835.31 utterances.], batch size: 210, lr: 1.01e-03
+2022-09-17 07:07:22,704 INFO [train.py:885] (0/2) Epoch 4, batch 1100, loss[loss=0.8607, simple_loss=0.7992, pruned_loss=0.4611, over 12533.00 frames. utt_duration=63.43 frames, utt_pad_proportion=0.1429, over 810.00 utterances.], tot_loss[loss=0.3713, simple_loss=0.4097, pruned_loss=0.1665, over 2767883.89 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06892, over 44502.12 utterances.], batch size: 810, lr: 1.01e-03
+2022-09-17 07:07:52,741 INFO [train.py:885] (0/2) Epoch 4, batch 1150, loss[loss=0.3649, simple_loss=0.4256, pruned_loss=0.1521, over 13999.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05595, over 365.00 utterances.], tot_loss[loss=0.3715, simple_loss=0.4097, pruned_loss=0.1666, over 2769276.60 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07044, over 45389.17 utterances.], batch size: 365, lr: 1.01e-03
+2022-09-17 07:08:22,150 INFO [train.py:885] (0/2) Epoch 4, batch 1200, loss[loss=0.4674, simple_loss=0.4957, pruned_loss=0.2195, over 13965.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05837, over 365.00 utterances.], tot_loss[loss=0.3716, simple_loss=0.4099, pruned_loss=0.1666, over 2772316.09 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07064, over 45407.45 utterances.], batch size: 365, lr: 1.01e-03
+2022-09-17 07:08:51,572 INFO [train.py:885] (0/2) Epoch 4, batch 1250, loss[loss=0.3697, simple_loss=0.4203, pruned_loss=0.1595, over 14313.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03963, over 262.00 utterances.], tot_loss[loss=0.3767, simple_loss=0.4142, pruned_loss=0.1696, over 2775613.86 frames. utt_duration=237.1 frames, utt_pad_proportion=0.06987, over 47118.63 utterances.], batch size: 262, lr: 1.01e-03
+2022-09-17 07:09:21,397 INFO [train.py:885] (0/2) Epoch 4, batch 1300, loss[loss=0.1999, simple_loss=0.2532, pruned_loss=0.07326, over 13485.00 frames. utt_duration=1588 frames, utt_pad_proportion=0.09935, over 34.00 utterances.], tot_loss[loss=0.3749, simple_loss=0.4131, pruned_loss=0.1684, over 2775070.15 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07061, over 47070.63 utterances.], batch size: 34, lr: 1.01e-03
+2022-09-17 07:09:50,928 INFO [train.py:885] (0/2) Epoch 4, batch 1350, loss[loss=0.4157, simple_loss=0.4462, pruned_loss=0.1926, over 14350.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03616, over 210.00 utterances.], tot_loss[loss=0.3772, simple_loss=0.4148, pruned_loss=0.1698, over 2773054.83 frames. utt_duration=234 frames, utt_pad_proportion=0.07403, over 47707.13 utterances.], batch size: 210, lr: 1.01e-03
+2022-09-17 07:10:19,997 INFO [train.py:885] (0/2) Epoch 4, batch 1400, loss[loss=0.5056, simple_loss=0.5001, pruned_loss=0.2555, over 14355.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03359, over 244.00 utterances.], tot_loss[loss=0.375, simple_loss=0.4122, pruned_loss=0.1689, over 2774129.33 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07318, over 46624.49 utterances.], batch size: 244, lr: 1.01e-03
+2022-09-17 07:10:49,628 INFO [train.py:885] (0/2) Epoch 4, batch 1450, loss[loss=0.4252, simple_loss=0.4478, pruned_loss=0.2013, over 14321.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03888, over 262.00 utterances.], tot_loss[loss=0.3732, simple_loss=0.4114, pruned_loss=0.1675, over 2773992.26 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07532, over 46839.62 utterances.], batch size: 262, lr: 1.01e-03
+2022-09-17 07:11:19,261 INFO [train.py:885] (0/2) Epoch 4, batch 1500, loss[loss=0.4171, simple_loss=0.4441, pruned_loss=0.195, over 14297.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04015, over 283.00 utterances.], tot_loss[loss=0.3652, simple_loss=0.4037, pruned_loss=0.1633, over 2774849.81 frames. utt_duration=256.3 frames, utt_pad_proportion=0.07278, over 43562.17 utterances.], batch size: 283, lr: 1.01e-03
+2022-09-17 07:11:47,979 INFO [train.py:885] (0/2) Epoch 4, batch 1550, loss[loss=0.1642, simple_loss=0.2013, pruned_loss=0.06354, over 13291.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.09769, over 33.00 utterances.], tot_loss[loss=0.3668, simple_loss=0.405, pruned_loss=0.1643, over 2775439.52 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07429, over 43898.49 utterances.], batch size: 33, lr: 1.01e-03
+2022-09-17 07:12:17,706 INFO [train.py:885] (0/2) Epoch 4, batch 1600, loss[loss=0.4941, simple_loss=0.4935, pruned_loss=0.2474, over 14246.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04204, over 335.00 utterances.], tot_loss[loss=0.3718, simple_loss=0.4085, pruned_loss=0.1676, over 2777118.05 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07361, over 44670.42 utterances.], batch size: 335, lr: 1.01e-03
+2022-09-17 07:12:46,910 INFO [train.py:885] (0/2) Epoch 4, batch 1650, loss[loss=0.3938, simple_loss=0.4218, pruned_loss=0.1828, over 14307.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03869, over 195.00 utterances.], tot_loss[loss=0.3716, simple_loss=0.4081, pruned_loss=0.1675, over 2778513.29 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07295, over 44591.81 utterances.], batch size: 195, lr: 1.01e-03
+2022-09-17 07:13:16,371 INFO [train.py:885] (0/2) Epoch 4, batch 1700, loss[loss=0.3821, simple_loss=0.4494, pruned_loss=0.1574, over 13766.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07231, over 411.00 utterances.], tot_loss[loss=0.3718, simple_loss=0.4079, pruned_loss=0.1679, over 2781063.52 frames. utt_duration=256.5 frames, utt_pad_proportion=0.07027, over 43617.71 utterances.], batch size: 411, lr: 1.00e-03
+2022-09-17 07:13:45,951 INFO [train.py:885] (0/2) Epoch 4, batch 1750, loss[loss=0.3103, simple_loss=0.3647, pruned_loss=0.1279, over 14298.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03787, over 130.00 utterances.], tot_loss[loss=0.3703, simple_loss=0.4068, pruned_loss=0.1669, over 2783721.98 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06833, over 43827.08 utterances.], batch size: 130, lr: 1.00e-03
+2022-09-17 07:14:24,095 INFO [train.py:885] (0/2) Epoch 4, batch 1800, loss[loss=0.2477, simple_loss=0.2839, pruned_loss=0.1058, over 13316.00 frames. utt_duration=1067 frames, utt_pad_proportion=0.1044, over 50.00 utterances.], tot_loss[loss=0.3633, simple_loss=0.4004, pruned_loss=0.1631, over 2784826.07 frames. utt_duration=269.4 frames, utt_pad_proportion=0.06665, over 41569.99 utterances.], batch size: 50, lr: 1.00e-03
+2022-09-17 07:14:53,654 INFO [train.py:885] (0/2) Epoch 4, batch 1850, loss[loss=0.259, simple_loss=0.2758, pruned_loss=0.1211, over 13057.00 frames. utt_duration=2090 frames, utt_pad_proportion=0.1206, over 25.00 utterances.], tot_loss[loss=0.369, simple_loss=0.4057, pruned_loss=0.1662, over 2781224.25 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06993, over 43809.95 utterances.], batch size: 25, lr: 1.00e-03
+2022-09-17 07:15:23,481 INFO [train.py:885] (0/2) Epoch 4, batch 1900, loss[loss=0.3835, simple_loss=0.4216, pruned_loss=0.1727, over 14276.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04014, over 180.00 utterances.], tot_loss[loss=0.3681, simple_loss=0.4052, pruned_loss=0.1655, over 2779692.03 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06993, over 43537.50 utterances.], batch size: 180, lr: 1.00e-03
+2022-09-17 07:15:53,204 INFO [train.py:885] (0/2) Epoch 4, batch 1950, loss[loss=0.3812, simple_loss=0.418, pruned_loss=0.1722, over 14370.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0324, over 244.00 utterances.], tot_loss[loss=0.3728, simple_loss=0.4098, pruned_loss=0.1679, over 2777861.47 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07341, over 45490.32 utterances.], batch size: 244, lr: 1.00e-03
+2022-09-17 07:16:23,002 INFO [train.py:885] (0/2) Epoch 4, batch 2000, loss[loss=0.4013, simple_loss=0.4694, pruned_loss=0.1666, over 13642.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08275, over 478.00 utterances.], tot_loss[loss=0.3726, simple_loss=0.4099, pruned_loss=0.1676, over 2775390.61 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07337, over 46232.43 utterances.], batch size: 478, lr: 1.00e-03
+2022-09-17 07:16:52,364 INFO [train.py:885] (0/2) Epoch 4, batch 2050, loss[loss=0.2614, simple_loss=0.3075, pruned_loss=0.1076, over 14145.00 frames. utt_duration=809.7 frames, utt_pad_proportion=0.05297, over 70.00 utterances.], tot_loss[loss=0.3751, simple_loss=0.4122, pruned_loss=0.169, over 2780057.40 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07136, over 46497.27 utterances.], batch size: 70, lr: 1.00e-03
+2022-09-17 07:17:22,202 INFO [train.py:885] (0/2) Epoch 4, batch 2100, loss[loss=0.3651, simple_loss=0.4147, pruned_loss=0.1578, over 14376.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03681, over 167.00 utterances.], tot_loss[loss=0.3752, simple_loss=0.4122, pruned_loss=0.1691, over 2778985.86 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07197, over 46525.42 utterances.], batch size: 167, lr: 1.00e-03
+2022-09-17 07:17:46,110 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-40000.pt
+2022-09-17 07:17:52,018 INFO [train.py:885] (0/2) Epoch 4, batch 2150, loss[loss=0.2567, simple_loss=0.3061, pruned_loss=0.1037, over 13510.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08981, over 50.00 utterances.], tot_loss[loss=0.3748, simple_loss=0.4111, pruned_loss=0.1693, over 2784157.37 frames. utt_duration=246 frames, utt_pad_proportion=0.06894, over 45539.61 utterances.], batch size: 50, lr: 9.99e-04
+2022-09-17 07:18:21,480 INFO [train.py:885] (0/2) Epoch 4, batch 2200, loss[loss=0.4037, simple_loss=0.436, pruned_loss=0.1857, over 14317.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03895, over 262.00 utterances.], tot_loss[loss=0.3745, simple_loss=0.4113, pruned_loss=0.1688, over 2785862.69 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06698, over 45299.60 utterances.], batch size: 262, lr: 9.98e-04
+2022-09-17 07:18:51,001 INFO [train.py:885] (0/2) Epoch 4, batch 2250, loss[loss=0.3555, simple_loss=0.4053, pruned_loss=0.1529, over 14229.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.03978, over 225.00 utterances.], tot_loss[loss=0.3712, simple_loss=0.4091, pruned_loss=0.1667, over 2784422.61 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06825, over 45225.72 utterances.], batch size: 225, lr: 9.98e-04
+2022-09-17 07:19:20,590 INFO [train.py:885] (0/2) Epoch 4, batch 2300, loss[loss=0.4552, simple_loss=0.4671, pruned_loss=0.2216, over 14342.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.0373, over 283.00 utterances.], tot_loss[loss=0.3754, simple_loss=0.4122, pruned_loss=0.1694, over 2785524.62 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07001, over 45909.78 utterances.], batch size: 283, lr: 9.97e-04
+2022-09-17 07:19:50,615 INFO [train.py:885] (0/2) Epoch 4, batch 2350, loss[loss=0.5426, simple_loss=0.5706, pruned_loss=0.2573, over 13172.00 frames. utt_duration=82.26 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.3765, simple_loss=0.4133, pruned_loss=0.1698, over 2781720.24 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07096, over 45994.58 utterances.], batch size: 653, lr: 9.97e-04
+2022-09-17 07:20:19,738 INFO [train.py:885] (0/2) Epoch 4, batch 2400, loss[loss=0.361, simple_loss=0.4183, pruned_loss=0.1519, over 14339.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03722, over 195.00 utterances.], tot_loss[loss=0.3772, simple_loss=0.4137, pruned_loss=0.1704, over 2779215.78 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07112, over 46485.71 utterances.], batch size: 195, lr: 9.96e-04
+2022-09-17 07:20:49,551 INFO [train.py:885] (0/2) Epoch 4, batch 2450, loss[loss=0.3047, simple_loss=0.3422, pruned_loss=0.1336, over 14161.00 frames. utt_duration=579.5 frames, utt_pad_proportion=0.04846, over 98.00 utterances.], tot_loss[loss=0.3762, simple_loss=0.413, pruned_loss=0.1697, over 2778861.32 frames. utt_duration=241.8 frames, utt_pad_proportion=0.0715, over 46252.25 utterances.], batch size: 98, lr: 9.95e-04
+2022-09-17 07:21:19,289 INFO [train.py:885] (0/2) Epoch 4, batch 2500, loss[loss=0.2628, simple_loss=0.3096, pruned_loss=0.1079, over 13815.00 frames. utt_duration=802.4 frames, utt_pad_proportion=0.06585, over 69.00 utterances.], tot_loss[loss=0.3798, simple_loss=0.4161, pruned_loss=0.1717, over 2778118.61 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07188, over 47771.46 utterances.], batch size: 69, lr: 9.95e-04
+2022-09-17 07:21:48,978 INFO [train.py:885] (0/2) Epoch 4, batch 2550, loss[loss=0.4325, simple_loss=0.4931, pruned_loss=0.186, over 13595.00 frames. utt_duration=98.51 frames, utt_pad_proportion=0.07937, over 560.00 utterances.], tot_loss[loss=0.3758, simple_loss=0.4128, pruned_loss=0.1694, over 2784154.55 frames. utt_duration=242.8 frames, utt_pad_proportion=0.06987, over 46139.72 utterances.], batch size: 560, lr: 9.94e-04
+2022-09-17 07:22:18,259 INFO [train.py:885] (0/2) Epoch 4, batch 2600, loss[loss=0.2208, simple_loss=0.2739, pruned_loss=0.08387, over 12903.00 frames. utt_duration=2066 frames, utt_pad_proportion=0.1271, over 25.00 utterances.], tot_loss[loss=0.3748, simple_loss=0.4112, pruned_loss=0.1692, over 2783686.87 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06913, over 45018.77 utterances.], batch size: 25, lr: 9.94e-04
+2022-09-17 07:22:48,157 INFO [train.py:885] (0/2) Epoch 4, batch 2650, loss[loss=0.4125, simple_loss=0.4725, pruned_loss=0.1763, over 13666.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07858, over 477.00 utterances.], tot_loss[loss=0.3787, simple_loss=0.4149, pruned_loss=0.1712, over 2781524.79 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07106, over 46884.51 utterances.], batch size: 477, lr: 9.93e-04
+2022-09-17 07:23:17,216 INFO [train.py:885] (0/2) Epoch 4, batch 2700, loss[loss=0.3564, simple_loss=0.3907, pruned_loss=0.1611, over 14244.00 frames. utt_duration=524 frames, utt_pad_proportion=0.04026, over 109.00 utterances.], tot_loss[loss=0.374, simple_loss=0.4115, pruned_loss=0.1683, over 2781270.65 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07088, over 46006.83 utterances.], batch size: 109, lr: 9.92e-04
+2022-09-17 07:23:45,724 INFO [train.py:885] (0/2) Epoch 4, batch 2750, loss[loss=0.374, simple_loss=0.3833, pruned_loss=0.1823, over 14041.00 frames. utt_duration=574.7 frames, utt_pad_proportion=0.05783, over 98.00 utterances.], tot_loss[loss=0.3721, simple_loss=0.4095, pruned_loss=0.1673, over 2783962.33 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06869, over 45195.31 utterances.], batch size: 98, lr: 9.92e-04
+2022-09-17 07:24:15,828 INFO [train.py:885] (0/2) Epoch 4, batch 2800, loss[loss=0.2676, simple_loss=0.3215, pruned_loss=0.1068, over 14230.00 frames. utt_duration=641.1 frames, utt_pad_proportion=0.04463, over 89.00 utterances.], tot_loss[loss=0.3745, simple_loss=0.412, pruned_loss=0.1685, over 2780581.81 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07027, over 46420.15 utterances.], batch size: 89, lr: 9.91e-04
+2022-09-17 07:24:45,218 INFO [train.py:885] (0/2) Epoch 4, batch 2850, loss[loss=0.4834, simple_loss=0.5002, pruned_loss=0.2333, over 14333.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03705, over 195.00 utterances.], tot_loss[loss=0.3713, simple_loss=0.4093, pruned_loss=0.1666, over 2780027.38 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07033, over 45624.17 utterances.], batch size: 195, lr: 9.91e-04
+2022-09-17 07:25:14,997 INFO [train.py:885] (0/2) Epoch 4, batch 2900, loss[loss=0.3679, simple_loss=0.4112, pruned_loss=0.1623, over 14302.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03991, over 120.00 utterances.], tot_loss[loss=0.3718, simple_loss=0.4095, pruned_loss=0.167, over 2779173.56 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07195, over 45960.38 utterances.], batch size: 120, lr: 9.90e-04
+2022-09-17 07:25:44,573 INFO [train.py:885] (0/2) Epoch 4, batch 2950, loss[loss=0.462, simple_loss=0.5068, pruned_loss=0.2087, over 13616.00 frames. utt_duration=98.69 frames, utt_pad_proportion=0.07767, over 560.00 utterances.], tot_loss[loss=0.3686, simple_loss=0.4069, pruned_loss=0.1651, over 2784312.52 frames. utt_duration=247 frames, utt_pad_proportion=0.0693, over 45367.40 utterances.], batch size: 560, lr: 9.89e-04
+2022-09-17 07:26:14,298 INFO [train.py:885] (0/2) Epoch 4, batch 3000, loss[loss=0.445, simple_loss=0.5093, pruned_loss=0.1903, over 13187.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.3664, simple_loss=0.4054, pruned_loss=0.1637, over 2783542.91 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06942, over 45542.12 utterances.], batch size: 653, lr: 9.89e-04
+2022-09-17 07:26:14,300 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 07:26:18,435 INFO [train.py:914] (0/2) Epoch 4, validation: loss=0.2377, simple_loss=0.3059, pruned_loss=0.08477, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 07:26:47,620 INFO [train.py:885] (0/2) Epoch 4, batch 3050, loss[loss=0.3488, simple_loss=0.3879, pruned_loss=0.1549, over 14367.00 frames. utt_duration=480.2 frames, utt_pad_proportion=0.03569, over 120.00 utterances.], tot_loss[loss=0.365, simple_loss=0.4038, pruned_loss=0.1631, over 2785076.77 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06939, over 44508.26 utterances.], batch size: 120, lr: 9.88e-04
+2022-09-17 07:27:17,295 INFO [train.py:885] (0/2) Epoch 4, batch 3100, loss[loss=0.4534, simple_loss=0.4842, pruned_loss=0.2113, over 14039.00 frames. utt_duration=155.3 frames, utt_pad_proportion=0.05334, over 365.00 utterances.], tot_loss[loss=0.3692, simple_loss=0.4077, pruned_loss=0.1653, over 2781070.33 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07123, over 45741.35 utterances.], batch size: 365, lr: 9.88e-04
+2022-09-17 07:27:47,450 INFO [train.py:885] (0/2) Epoch 4, batch 3150, loss[loss=0.1802, simple_loss=0.2159, pruned_loss=0.0723, over 12213.00 frames. utt_duration=2037 frames, utt_pad_proportion=0.1635, over 24.00 utterances.], tot_loss[loss=0.3667, simple_loss=0.4057, pruned_loss=0.1638, over 2778878.28 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07054, over 46171.79 utterances.], batch size: 24, lr: 9.87e-04
+2022-09-17 07:28:17,237 INFO [train.py:885] (0/2) Epoch 4, batch 3200, loss[loss=0.3895, simple_loss=0.411, pruned_loss=0.184, over 14418.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03429, over 155.00 utterances.], tot_loss[loss=0.3662, simple_loss=0.405, pruned_loss=0.1637, over 2782901.16 frames. utt_duration=245 frames, utt_pad_proportion=0.06877, over 45707.64 utterances.], batch size: 155, lr: 9.86e-04
+2022-09-17 07:28:46,502 INFO [train.py:885] (0/2) Epoch 4, batch 3250, loss[loss=0.2997, simple_loss=0.3456, pruned_loss=0.1269, over 14146.00 frames. utt_duration=637 frames, utt_pad_proportion=0.0492, over 89.00 utterances.], tot_loss[loss=0.369, simple_loss=0.4073, pruned_loss=0.1654, over 2778109.03 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07115, over 46165.94 utterances.], batch size: 89, lr: 9.86e-04
+2022-09-17 07:29:16,513 INFO [train.py:885] (0/2) Epoch 4, batch 3300, loss[loss=0.296, simple_loss=0.3289, pruned_loss=0.1316, over 13610.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08251, over 50.00 utterances.], tot_loss[loss=0.3707, simple_loss=0.4089, pruned_loss=0.1662, over 2776907.89 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07186, over 46707.15 utterances.], batch size: 50, lr: 9.85e-04
+2022-09-17 07:29:45,721 INFO [train.py:885] (0/2) Epoch 4, batch 3350, loss[loss=0.5901, simple_loss=0.5485, pruned_loss=0.3159, over 14216.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04376, over 335.00 utterances.], tot_loss[loss=0.3707, simple_loss=0.4087, pruned_loss=0.1664, over 2777067.03 frames. utt_duration=237 frames, utt_pad_proportion=0.07292, over 47157.93 utterances.], batch size: 335, lr: 9.85e-04
+2022-09-17 07:30:15,141 INFO [train.py:885] (0/2) Epoch 4, batch 3400, loss[loss=0.4182, simple_loss=0.4485, pruned_loss=0.194, over 14312.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03965, over 262.00 utterances.], tot_loss[loss=0.3659, simple_loss=0.404, pruned_loss=0.1639, over 2780219.28 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07048, over 44849.77 utterances.], batch size: 262, lr: 9.84e-04
+2022-09-17 07:30:44,442 INFO [train.py:885] (0/2) Epoch 4, batch 3450, loss[loss=0.2579, simple_loss=0.3083, pruned_loss=0.1038, over 13856.00 frames. utt_duration=925.3 frames, utt_pad_proportion=0.06727, over 60.00 utterances.], tot_loss[loss=0.3654, simple_loss=0.404, pruned_loss=0.1634, over 2780280.60 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07162, over 45261.73 utterances.], batch size: 60, lr: 9.83e-04
+2022-09-17 07:31:14,479 INFO [train.py:885] (0/2) Epoch 4, batch 3500, loss[loss=0.2656, simple_loss=0.3164, pruned_loss=0.1074, over 14106.00 frames. utt_duration=807.3 frames, utt_pad_proportion=0.05684, over 70.00 utterances.], tot_loss[loss=0.3693, simple_loss=0.4072, pruned_loss=0.1657, over 2778837.43 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07366, over 45779.77 utterances.], batch size: 70, lr: 9.83e-04
+2022-09-17 07:31:43,856 INFO [train.py:885] (0/2) Epoch 4, batch 3550, loss[loss=0.4256, simple_loss=0.4663, pruned_loss=0.1925, over 13972.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05768, over 365.00 utterances.], tot_loss[loss=0.3716, simple_loss=0.4084, pruned_loss=0.1674, over 2776778.72 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07395, over 45693.65 utterances.], batch size: 365, lr: 9.82e-04
+2022-09-17 07:32:13,753 INFO [train.py:885] (0/2) Epoch 4, batch 3600, loss[loss=0.3985, simple_loss=0.4364, pruned_loss=0.1803, over 14230.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04312, over 306.00 utterances.], tot_loss[loss=0.3697, simple_loss=0.408, pruned_loss=0.1657, over 2777012.59 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07464, over 46658.99 utterances.], batch size: 306, lr: 9.82e-04
+2022-09-17 07:32:43,174 INFO [train.py:885] (0/2) Epoch 4, batch 3650, loss[loss=0.4392, simple_loss=0.4611, pruned_loss=0.2087, over 14196.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04493, over 306.00 utterances.], tot_loss[loss=0.3673, simple_loss=0.4056, pruned_loss=0.1645, over 2777316.02 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07291, over 45766.84 utterances.], batch size: 306, lr: 9.81e-04
+2022-09-17 07:33:12,807 INFO [train.py:885] (0/2) Epoch 4, batch 3700, loss[loss=0.2109, simple_loss=0.2664, pruned_loss=0.07766, over 13302.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.09092, over 41.00 utterances.], tot_loss[loss=0.3664, simple_loss=0.4049, pruned_loss=0.164, over 2777905.85 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07324, over 45381.47 utterances.], batch size: 41, lr: 9.81e-04
+2022-09-17 07:33:42,351 INFO [train.py:885] (0/2) Epoch 4, batch 3750, loss[loss=0.2863, simple_loss=0.3144, pruned_loss=0.1291, over 14091.00 frames. utt_duration=714.9 frames, utt_pad_proportion=0.05437, over 79.00 utterances.], tot_loss[loss=0.368, simple_loss=0.4065, pruned_loss=0.1647, over 2780247.85 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0742, over 45693.60 utterances.], batch size: 79, lr: 9.80e-04
+2022-09-17 07:34:12,110 INFO [train.py:885] (0/2) Epoch 4, batch 3800, loss[loss=0.3036, simple_loss=0.3456, pruned_loss=0.1308, over 14122.00 frames. utt_duration=519.7 frames, utt_pad_proportion=0.04826, over 109.00 utterances.], tot_loss[loss=0.3674, simple_loss=0.4061, pruned_loss=0.1644, over 2787001.01 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07091, over 44829.62 utterances.], batch size: 109, lr: 9.79e-04
+2022-09-17 07:34:41,521 INFO [train.py:885] (0/2) Epoch 4, batch 3850, loss[loss=0.4679, simple_loss=0.4744, pruned_loss=0.2307, over 14351.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03705, over 262.00 utterances.], tot_loss[loss=0.3727, simple_loss=0.4111, pruned_loss=0.1672, over 2790237.26 frames. utt_duration=240.3 frames, utt_pad_proportion=0.06956, over 46734.24 utterances.], batch size: 262, lr: 9.79e-04
+2022-09-17 07:35:10,867 INFO [train.py:885] (0/2) Epoch 4, batch 3900, loss[loss=0.3898, simple_loss=0.4329, pruned_loss=0.1733, over 14276.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04042, over 225.00 utterances.], tot_loss[loss=0.3697, simple_loss=0.4086, pruned_loss=0.1654, over 2787521.18 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06995, over 46400.76 utterances.], batch size: 225, lr: 9.78e-04
+2022-09-17 07:35:41,657 INFO [train.py:885] (0/2) Epoch 4, batch 3950, loss[loss=0.3729, simple_loss=0.412, pruned_loss=0.1668, over 14217.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.04793, over 141.00 utterances.], tot_loss[loss=0.3732, simple_loss=0.4111, pruned_loss=0.1676, over 2781336.37 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07225, over 46875.19 utterances.], batch size: 141, lr: 9.78e-04
+2022-09-17 07:36:10,514 INFO [train.py:885] (0/2) Epoch 4, batch 4000, loss[loss=0.4239, simple_loss=0.4824, pruned_loss=0.1827, over 13622.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08153, over 477.00 utterances.], tot_loss[loss=0.3726, simple_loss=0.4108, pruned_loss=0.1672, over 2778001.64 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07465, over 46901.31 utterances.], batch size: 477, lr: 9.77e-04
+2022-09-17 07:36:40,539 INFO [train.py:885] (0/2) Epoch 4, batch 4050, loss[loss=0.41, simple_loss=0.444, pruned_loss=0.188, over 14365.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03199, over 210.00 utterances.], tot_loss[loss=0.3706, simple_loss=0.4091, pruned_loss=0.166, over 2777403.11 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07496, over 46884.53 utterances.], batch size: 210, lr: 9.77e-04
+2022-09-17 07:37:09,921 INFO [train.py:885] (0/2) Epoch 4, batch 4100, loss[loss=0.323, simple_loss=0.3772, pruned_loss=0.1343, over 14331.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03956, over 167.00 utterances.], tot_loss[loss=0.3697, simple_loss=0.4077, pruned_loss=0.1658, over 2775165.64 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07419, over 46442.50 utterances.], batch size: 167, lr: 9.76e-04
+2022-09-17 07:37:39,813 INFO [train.py:885] (0/2) Epoch 4, batch 4150, loss[loss=0.4184, simple_loss=0.4417, pruned_loss=0.1976, over 14316.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03922, over 262.00 utterances.], tot_loss[loss=0.375, simple_loss=0.4123, pruned_loss=0.1689, over 2774092.51 frames. utt_duration=234.9 frames, utt_pad_proportion=0.0748, over 47544.82 utterances.], batch size: 262, lr: 9.75e-04
+2022-09-17 07:38:09,154 INFO [train.py:885] (0/2) Epoch 4, batch 4200, loss[loss=0.3806, simple_loss=0.426, pruned_loss=0.1676, over 14335.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03753, over 195.00 utterances.], tot_loss[loss=0.3707, simple_loss=0.4084, pruned_loss=0.1665, over 2772421.12 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07498, over 46810.75 utterances.], batch size: 195, lr: 9.75e-04
+2022-09-17 07:38:39,077 INFO [train.py:885] (0/2) Epoch 4, batch 4250, loss[loss=0.452, simple_loss=0.4676, pruned_loss=0.2183, over 14317.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03882, over 283.00 utterances.], tot_loss[loss=0.3679, simple_loss=0.4064, pruned_loss=0.1647, over 2772336.50 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07469, over 46620.37 utterances.], batch size: 283, lr: 9.74e-04
+2022-09-17 07:39:08,279 INFO [train.py:885] (0/2) Epoch 4, batch 4300, loss[loss=0.4065, simple_loss=0.4672, pruned_loss=0.1729, over 13636.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08115, over 477.00 utterances.], tot_loss[loss=0.365, simple_loss=0.4035, pruned_loss=0.1632, over 2776294.59 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07338, over 45107.26 utterances.], batch size: 477, lr: 9.74e-04
+2022-09-17 07:39:37,667 INFO [train.py:885] (0/2) Epoch 4, batch 4350, loss[loss=0.3138, simple_loss=0.36, pruned_loss=0.1338, over 14331.00 frames. utt_duration=479 frames, utt_pad_proportion=0.0381, over 120.00 utterances.], tot_loss[loss=0.3687, simple_loss=0.4076, pruned_loss=0.1649, over 2773794.69 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07652, over 46698.98 utterances.], batch size: 120, lr: 9.73e-04
+2022-09-17 07:40:07,591 INFO [train.py:885] (0/2) Epoch 4, batch 4400, loss[loss=0.4079, simple_loss=0.4386, pruned_loss=0.1886, over 14377.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03417, over 210.00 utterances.], tot_loss[loss=0.3706, simple_loss=0.4093, pruned_loss=0.1659, over 2772997.97 frames. utt_duration=232.4 frames, utt_pad_proportion=0.077, over 48026.43 utterances.], batch size: 210, lr: 9.73e-04
+2022-09-17 07:40:37,004 INFO [train.py:885] (0/2) Epoch 4, batch 4450, loss[loss=0.3994, simple_loss=0.4587, pruned_loss=0.1701, over 13768.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07224, over 411.00 utterances.], tot_loss[loss=0.3752, simple_loss=0.4136, pruned_loss=0.1684, over 2774683.28 frames. utt_duration=227.9 frames, utt_pad_proportion=0.0755, over 49025.08 utterances.], batch size: 411, lr: 9.72e-04
+2022-09-17 07:41:06,676 INFO [train.py:885] (0/2) Epoch 4, batch 4500, loss[loss=0.2678, simple_loss=0.326, pruned_loss=0.1048, over 14003.00 frames. utt_duration=710.3 frames, utt_pad_proportion=0.05546, over 79.00 utterances.], tot_loss[loss=0.3756, simple_loss=0.4144, pruned_loss=0.1684, over 2778943.02 frames. utt_duration=226.7 frames, utt_pad_proportion=0.07407, over 49349.02 utterances.], batch size: 79, lr: 9.71e-04
+2022-09-17 07:41:36,240 INFO [train.py:885] (0/2) Epoch 4, batch 4550, loss[loss=0.4373, simple_loss=0.4691, pruned_loss=0.2027, over 14233.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04213, over 306.00 utterances.], tot_loss[loss=0.3716, simple_loss=0.4115, pruned_loss=0.1659, over 2775065.31 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07458, over 48524.99 utterances.], batch size: 306, lr: 9.71e-04
+2022-09-17 07:42:05,956 INFO [train.py:885] (0/2) Epoch 4, batch 4600, loss[loss=0.4787, simple_loss=0.5181, pruned_loss=0.2196, over 13607.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08251, over 477.00 utterances.], tot_loss[loss=0.3703, simple_loss=0.4096, pruned_loss=0.1655, over 2774076.47 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07405, over 47228.50 utterances.], batch size: 477, lr: 9.70e-04
+2022-09-17 07:42:34,897 INFO [train.py:885] (0/2) Epoch 4, batch 4650, loss[loss=0.6487, simple_loss=0.6707, pruned_loss=0.3133, over 12446.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.372, simple_loss=0.4102, pruned_loss=0.1669, over 2776317.23 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07447, over 47095.71 utterances.], batch size: 810, lr: 9.70e-04
+2022-09-17 07:43:04,661 INFO [train.py:885] (0/2) Epoch 4, batch 4700, loss[loss=0.277, simple_loss=0.3209, pruned_loss=0.1166, over 14056.00 frames. utt_duration=713 frames, utt_pad_proportion=0.05691, over 79.00 utterances.], tot_loss[loss=0.3708, simple_loss=0.4093, pruned_loss=0.1661, over 2781435.76 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07297, over 46270.42 utterances.], batch size: 79, lr: 9.69e-04
+2022-09-17 07:43:34,683 INFO [train.py:885] (0/2) Epoch 4, batch 4750, loss[loss=0.2939, simple_loss=0.3436, pruned_loss=0.1221, over 14274.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.03979, over 130.00 utterances.], tot_loss[loss=0.3707, simple_loss=0.4092, pruned_loss=0.1661, over 2781648.56 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07178, over 45905.23 utterances.], batch size: 130, lr: 9.69e-04
+2022-09-17 07:44:03,593 INFO [train.py:885] (0/2) Epoch 4, batch 4800, loss[loss=0.3228, simple_loss=0.3703, pruned_loss=0.1377, over 14285.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.04144, over 130.00 utterances.], tot_loss[loss=0.3735, simple_loss=0.4116, pruned_loss=0.1677, over 2783021.96 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07108, over 46137.17 utterances.], batch size: 130, lr: 9.68e-04
+2022-09-17 07:44:32,877 INFO [train.py:885] (0/2) Epoch 4, batch 4850, loss[loss=0.3717, simple_loss=0.4075, pruned_loss=0.1679, over 14281.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04349, over 141.00 utterances.], tot_loss[loss=0.3683, simple_loss=0.4069, pruned_loss=0.1649, over 2779837.94 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07041, over 44888.73 utterances.], batch size: 141, lr: 9.67e-04
+2022-09-17 07:45:02,889 INFO [train.py:885] (0/2) Epoch 4, batch 4900, loss[loss=0.477, simple_loss=0.4841, pruned_loss=0.2349, over 14360.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03326, over 244.00 utterances.], tot_loss[loss=0.3675, simple_loss=0.4065, pruned_loss=0.1643, over 2784832.24 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06734, over 44800.87 utterances.], batch size: 244, lr: 9.67e-04
+2022-09-17 07:45:32,061 INFO [train.py:885] (0/2) Epoch 4, batch 4950, loss[loss=0.4218, simple_loss=0.4516, pruned_loss=0.196, over 14355.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03581, over 210.00 utterances.], tot_loss[loss=0.3682, simple_loss=0.4066, pruned_loss=0.1649, over 2785557.73 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06765, over 44257.67 utterances.], batch size: 210, lr: 9.66e-04
+2022-09-17 07:46:02,348 INFO [train.py:885] (0/2) Epoch 4, batch 5000, loss[loss=0.3215, simple_loss=0.3496, pruned_loss=0.1467, over 13992.00 frames. utt_duration=572.7 frames, utt_pad_proportion=0.05958, over 98.00 utterances.], tot_loss[loss=0.372, simple_loss=0.4106, pruned_loss=0.1667, over 2782516.74 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07017, over 46311.72 utterances.], batch size: 98, lr: 9.66e-04
+2022-09-17 07:46:31,516 INFO [train.py:885] (0/2) Epoch 4, batch 5050, loss[loss=0.7791, simple_loss=0.7564, pruned_loss=0.4009, over 12497.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1448, over 810.00 utterances.], tot_loss[loss=0.3763, simple_loss=0.4146, pruned_loss=0.169, over 2781558.46 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07151, over 47974.52 utterances.], batch size: 810, lr: 9.65e-04
+2022-09-17 07:47:00,494 INFO [train.py:885] (0/2) Epoch 4, batch 5100, loss[loss=0.3803, simple_loss=0.4368, pruned_loss=0.1619, over 13995.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05645, over 365.00 utterances.], tot_loss[loss=0.3724, simple_loss=0.4111, pruned_loss=0.1668, over 2782597.74 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07071, over 46525.27 utterances.], batch size: 365, lr: 9.65e-04
+2022-09-17 07:47:30,053 INFO [train.py:885] (0/2) Epoch 4, batch 5150, loss[loss=0.2273, simple_loss=0.2866, pruned_loss=0.08403, over 13779.00 frames. utt_duration=919.8 frames, utt_pad_proportion=0.07278, over 60.00 utterances.], tot_loss[loss=0.3667, simple_loss=0.4059, pruned_loss=0.1637, over 2785069.66 frames. utt_duration=251 frames, utt_pad_proportion=0.06974, over 44649.17 utterances.], batch size: 60, lr: 9.64e-04
+2022-09-17 07:47:59,613 INFO [train.py:885] (0/2) Epoch 4, batch 5200, loss[loss=0.5229, simple_loss=0.5546, pruned_loss=0.2456, over 13600.00 frames. utt_duration=98.53 frames, utt_pad_proportion=0.07917, over 560.00 utterances.], tot_loss[loss=0.3665, simple_loss=0.4065, pruned_loss=0.1633, over 2779575.61 frames. utt_duration=243 frames, utt_pad_proportion=0.07076, over 46027.48 utterances.], batch size: 560, lr: 9.64e-04
+2022-09-17 07:48:29,257 INFO [train.py:885] (0/2) Epoch 4, batch 5250, loss[loss=0.2451, simple_loss=0.2967, pruned_loss=0.09676, over 13921.00 frames. utt_duration=929.5 frames, utt_pad_proportion=0.06673, over 60.00 utterances.], tot_loss[loss=0.3587, simple_loss=0.3993, pruned_loss=0.159, over 2782104.20 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06789, over 43765.41 utterances.], batch size: 60, lr: 9.63e-04
+2022-09-17 07:48:59,172 INFO [train.py:885] (0/2) Epoch 4, batch 5300, loss[loss=0.2075, simple_loss=0.2487, pruned_loss=0.08316, over 13534.00 frames. utt_duration=1290 frames, utt_pad_proportion=0.08804, over 42.00 utterances.], tot_loss[loss=0.3611, simple_loss=0.4015, pruned_loss=0.1603, over 2780118.66 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06999, over 44337.35 utterances.], batch size: 42, lr: 9.62e-04
+2022-09-17 07:49:28,700 INFO [train.py:885] (0/2) Epoch 4, batch 5350, loss[loss=0.4332, simple_loss=0.4811, pruned_loss=0.1926, over 13774.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07126, over 411.00 utterances.], tot_loss[loss=0.3608, simple_loss=0.4015, pruned_loss=0.16, over 2779314.27 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07207, over 44930.14 utterances.], batch size: 411, lr: 9.62e-04
+2022-09-17 07:49:58,324 INFO [train.py:885] (0/2) Epoch 4, batch 5400, loss[loss=0.3771, simple_loss=0.4372, pruned_loss=0.1584, over 13988.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05638, over 365.00 utterances.], tot_loss[loss=0.362, simple_loss=0.4023, pruned_loss=0.1608, over 2780549.35 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06939, over 44560.61 utterances.], batch size: 365, lr: 9.61e-04
+2022-09-17 07:50:28,055 INFO [train.py:885] (0/2) Epoch 4, batch 5450, loss[loss=0.3725, simple_loss=0.4193, pruned_loss=0.1629, over 14317.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03767, over 180.00 utterances.], tot_loss[loss=0.3608, simple_loss=0.4013, pruned_loss=0.1602, over 2778526.00 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07068, over 44468.34 utterances.], batch size: 180, lr: 9.61e-04
+2022-09-17 07:50:57,189 INFO [train.py:885] (0/2) Epoch 4, batch 5500, loss[loss=0.3768, simple_loss=0.4194, pruned_loss=0.1671, over 14341.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03787, over 244.00 utterances.], tot_loss[loss=0.3598, simple_loss=0.4003, pruned_loss=0.1597, over 2776095.53 frames. utt_duration=253.5 frames, utt_pad_proportion=0.0695, over 44055.62 utterances.], batch size: 244, lr: 9.60e-04
+2022-09-17 07:51:26,560 INFO [train.py:885] (0/2) Epoch 4, batch 5550, loss[loss=0.2442, simple_loss=0.3019, pruned_loss=0.09322, over 13904.00 frames. utt_duration=928.4 frames, utt_pad_proportion=0.06784, over 60.00 utterances.], tot_loss[loss=0.363, simple_loss=0.4024, pruned_loss=0.1618, over 2782346.73 frames. utt_duration=256.4 frames, utt_pad_proportion=0.0672, over 43664.01 utterances.], batch size: 60, lr: 9.60e-04
+2022-09-17 07:51:56,279 INFO [train.py:885] (0/2) Epoch 4, batch 5600, loss[loss=0.6788, simple_loss=0.6922, pruned_loss=0.3327, over 12554.00 frames. utt_duration=63.52 frames, utt_pad_proportion=0.1416, over 811.00 utterances.], tot_loss[loss=0.3635, simple_loss=0.403, pruned_loss=0.162, over 2777528.77 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07117, over 44436.07 utterances.], batch size: 811, lr: 9.59e-04
+2022-09-17 07:52:25,912 INFO [train.py:885] (0/2) Epoch 4, batch 5650, loss[loss=0.3971, simple_loss=0.4358, pruned_loss=0.1792, over 14320.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0386, over 283.00 utterances.], tot_loss[loss=0.3659, simple_loss=0.4052, pruned_loss=0.1633, over 2776018.44 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07229, over 45510.68 utterances.], batch size: 283, lr: 9.59e-04
+2022-09-17 07:52:54,568 INFO [train.py:885] (0/2) Epoch 4, batch 5700, loss[loss=0.4374, simple_loss=0.4778, pruned_loss=0.1985, over 14001.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05535, over 365.00 utterances.], tot_loss[loss=0.3667, simple_loss=0.406, pruned_loss=0.1637, over 2778650.56 frames. utt_duration=247 frames, utt_pad_proportion=0.07341, over 45264.85 utterances.], batch size: 365, lr: 9.58e-04
+2022-09-17 07:53:24,128 INFO [train.py:885] (0/2) Epoch 4, batch 5750, loss[loss=0.4387, simple_loss=0.4563, pruned_loss=0.2106, over 14196.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04493, over 306.00 utterances.], tot_loss[loss=0.3661, simple_loss=0.405, pruned_loss=0.1636, over 2784143.73 frames. utt_duration=252 frames, utt_pad_proportion=0.07069, over 44451.04 utterances.], batch size: 306, lr: 9.58e-04
+2022-09-17 07:53:53,925 INFO [train.py:885] (0/2) Epoch 4, batch 5800, loss[loss=0.3642, simple_loss=0.4164, pruned_loss=0.156, over 14386.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03542, over 244.00 utterances.], tot_loss[loss=0.3686, simple_loss=0.4067, pruned_loss=0.1653, over 2786422.64 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07027, over 44540.74 utterances.], batch size: 244, lr: 9.57e-04
+2022-09-17 07:54:23,422 INFO [train.py:885] (0/2) Epoch 4, batch 5850, loss[loss=0.1853, simple_loss=0.2409, pruned_loss=0.06488, over 13478.00 frames. utt_duration=1316 frames, utt_pad_proportion=0.07882, over 41.00 utterances.], tot_loss[loss=0.3699, simple_loss=0.408, pruned_loss=0.1659, over 2787696.59 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06975, over 44979.50 utterances.], batch size: 41, lr: 9.56e-04
+2022-09-17 07:54:53,310 INFO [train.py:885] (0/2) Epoch 4, batch 5900, loss[loss=0.3653, simple_loss=0.3942, pruned_loss=0.1682, over 14316.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03899, over 120.00 utterances.], tot_loss[loss=0.3734, simple_loss=0.4116, pruned_loss=0.1676, over 2784730.97 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07099, over 46727.63 utterances.], batch size: 120, lr: 9.56e-04
+2022-09-17 07:55:22,703 INFO [train.py:885] (0/2) Epoch 4, batch 5950, loss[loss=0.3837, simple_loss=0.4418, pruned_loss=0.1628, over 14034.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05411, over 365.00 utterances.], tot_loss[loss=0.3665, simple_loss=0.406, pruned_loss=0.1635, over 2782089.21 frames. utt_duration=248 frames, utt_pad_proportion=0.07071, over 45140.66 utterances.], batch size: 365, lr: 9.55e-04
+2022-09-17 07:55:52,284 INFO [train.py:885] (0/2) Epoch 4, batch 6000, loss[loss=0.4741, simple_loss=0.4919, pruned_loss=0.2282, over 14336.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03468, over 244.00 utterances.], tot_loss[loss=0.3715, simple_loss=0.4104, pruned_loss=0.1663, over 2780478.36 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07293, over 46278.28 utterances.], batch size: 244, lr: 9.55e-04
+2022-09-17 07:55:52,286 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 07:55:56,492 INFO [train.py:914] (0/2) Epoch 4, validation: loss=0.2393, simple_loss=0.3087, pruned_loss=0.08494, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 07:56:25,893 INFO [train.py:885] (0/2) Epoch 4, batch 6050, loss[loss=0.5262, simple_loss=0.5658, pruned_loss=0.2433, over 13188.00 frames. utt_duration=82.3 frames, utt_pad_proportion=0.1054, over 653.00 utterances.], tot_loss[loss=0.3728, simple_loss=0.4117, pruned_loss=0.167, over 2775097.74 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07588, over 47514.43 utterances.], batch size: 653, lr: 9.54e-04
+2022-09-17 07:56:55,691 INFO [train.py:885] (0/2) Epoch 4, batch 6100, loss[loss=0.4466, simple_loss=0.4983, pruned_loss=0.1975, over 13639.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.07654, over 560.00 utterances.], tot_loss[loss=0.3698, simple_loss=0.4089, pruned_loss=0.1653, over 2776332.97 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07367, over 46381.42 utterances.], batch size: 560, lr: 9.54e-04
+2022-09-17 07:57:19,289 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-44000.pt
+2022-09-17 07:57:25,277 INFO [train.py:885] (0/2) Epoch 4, batch 6150, loss[loss=0.2217, simple_loss=0.2665, pruned_loss=0.08848, over 13131.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1175, over 33.00 utterances.], tot_loss[loss=0.3672, simple_loss=0.4065, pruned_loss=0.164, over 2775723.27 frames. utt_duration=244 frames, utt_pad_proportion=0.07372, over 45776.66 utterances.], batch size: 33, lr: 9.53e-04
+2022-09-17 07:57:54,770 INFO [train.py:885] (0/2) Epoch 4, batch 6200, loss[loss=0.3301, simple_loss=0.3884, pruned_loss=0.1359, over 14344.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.0393, over 167.00 utterances.], tot_loss[loss=0.375, simple_loss=0.4138, pruned_loss=0.168, over 2782956.24 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07241, over 47576.93 utterances.], batch size: 167, lr: 9.53e-04
+2022-09-17 07:58:25,055 INFO [train.py:885] (0/2) Epoch 4, batch 6250, loss[loss=0.3863, simple_loss=0.4212, pruned_loss=0.1757, over 14285.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04117, over 262.00 utterances.], tot_loss[loss=0.3701, simple_loss=0.4098, pruned_loss=0.1652, over 2785055.26 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07042, over 46451.16 utterances.], batch size: 262, lr: 9.52e-04
+2022-09-17 07:58:53,642 INFO [train.py:885] (0/2) Epoch 4, batch 6300, loss[loss=0.4442, simple_loss=0.4527, pruned_loss=0.2179, over 14294.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.041, over 262.00 utterances.], tot_loss[loss=0.3705, simple_loss=0.4092, pruned_loss=0.1659, over 2788744.40 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06865, over 45527.98 utterances.], batch size: 262, lr: 9.52e-04
+2022-09-17 07:59:23,406 INFO [train.py:885] (0/2) Epoch 4, batch 6350, loss[loss=0.3818, simple_loss=0.428, pruned_loss=0.1678, over 14291.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03855, over 180.00 utterances.], tot_loss[loss=0.3662, simple_loss=0.4048, pruned_loss=0.1638, over 2785481.60 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06884, over 44169.94 utterances.], batch size: 180, lr: 9.51e-04
+2022-09-17 07:59:52,549 INFO [train.py:885] (0/2) Epoch 4, batch 6400, loss[loss=0.3864, simple_loss=0.4295, pruned_loss=0.1716, over 14355.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03317, over 244.00 utterances.], tot_loss[loss=0.3658, simple_loss=0.4047, pruned_loss=0.1635, over 2785594.23 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06963, over 44236.36 utterances.], batch size: 244, lr: 9.51e-04
+2022-09-17 08:00:22,856 INFO [train.py:885] (0/2) Epoch 4, batch 6450, loss[loss=0.3311, simple_loss=0.3539, pruned_loss=0.1541, over 13942.00 frames. utt_duration=809.6 frames, utt_pad_proportion=0.05752, over 69.00 utterances.], tot_loss[loss=0.3682, simple_loss=0.407, pruned_loss=0.1647, over 2782665.93 frames. utt_duration=248 frames, utt_pad_proportion=0.07052, over 45144.36 utterances.], batch size: 69, lr: 9.50e-04
+2022-09-17 08:00:52,070 INFO [train.py:885] (0/2) Epoch 4, batch 6500, loss[loss=0.3941, simple_loss=0.4093, pruned_loss=0.1895, over 14149.00 frames. utt_duration=579.1 frames, utt_pad_proportion=0.05074, over 98.00 utterances.], tot_loss[loss=0.3648, simple_loss=0.4042, pruned_loss=0.1627, over 2783649.54 frames. utt_duration=251.5 frames, utt_pad_proportion=0.0713, over 44527.29 utterances.], batch size: 98, lr: 9.50e-04
+2022-09-17 08:01:21,710 INFO [train.py:885] (0/2) Epoch 4, batch 6550, loss[loss=0.4262, simple_loss=0.4525, pruned_loss=0.1999, over 14291.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04138, over 262.00 utterances.], tot_loss[loss=0.3661, simple_loss=0.4059, pruned_loss=0.1631, over 2785731.68 frames. utt_duration=248.1 frames, utt_pad_proportion=0.0703, over 45184.98 utterances.], batch size: 262, lr: 9.49e-04
+2022-09-17 08:01:50,668 INFO [train.py:885] (0/2) Epoch 4, batch 6600, loss[loss=0.2927, simple_loss=0.3414, pruned_loss=0.122, over 14111.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05184, over 98.00 utterances.], tot_loss[loss=0.3642, simple_loss=0.4043, pruned_loss=0.162, over 2785399.95 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07104, over 44839.29 utterances.], batch size: 98, lr: 9.48e-04
+2022-09-17 08:02:20,346 INFO [train.py:885] (0/2) Epoch 4, batch 6650, loss[loss=0.4332, simple_loss=0.4576, pruned_loss=0.2044, over 14313.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03864, over 283.00 utterances.], tot_loss[loss=0.3658, simple_loss=0.4056, pruned_loss=0.163, over 2784815.04 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07009, over 44529.55 utterances.], batch size: 283, lr: 9.48e-04
+2022-09-17 08:02:50,073 INFO [train.py:885] (0/2) Epoch 4, batch 6700, loss[loss=0.2128, simple_loss=0.2509, pruned_loss=0.08732, over 13348.00 frames. utt_duration=1619 frames, utt_pad_proportion=0.09327, over 33.00 utterances.], tot_loss[loss=0.3681, simple_loss=0.4082, pruned_loss=0.1639, over 2781047.96 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07318, over 46178.46 utterances.], batch size: 33, lr: 9.47e-04
+2022-09-17 08:03:20,108 INFO [train.py:885] (0/2) Epoch 4, batch 6750, loss[loss=0.8193, simple_loss=0.7815, pruned_loss=0.4286, over 12476.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1467, over 810.00 utterances.], tot_loss[loss=0.3678, simple_loss=0.4077, pruned_loss=0.164, over 2781596.39 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07397, over 46533.78 utterances.], batch size: 810, lr: 9.47e-04
+2022-09-17 08:03:50,012 INFO [train.py:885] (0/2) Epoch 4, batch 6800, loss[loss=0.3625, simple_loss=0.3946, pruned_loss=0.1652, over 14278.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.04177, over 130.00 utterances.], tot_loss[loss=0.3649, simple_loss=0.4051, pruned_loss=0.1623, over 2778304.71 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07213, over 44766.18 utterances.], batch size: 130, lr: 9.46e-04
+2022-09-17 08:04:19,798 INFO [train.py:885] (0/2) Epoch 4, batch 6850, loss[loss=0.2964, simple_loss=0.3485, pruned_loss=0.1221, over 14190.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04342, over 109.00 utterances.], tot_loss[loss=0.3651, simple_loss=0.4048, pruned_loss=0.1627, over 2779394.99 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07123, over 44452.16 utterances.], batch size: 109, lr: 9.46e-04
+2022-09-17 08:04:48,748 INFO [train.py:885] (0/2) Epoch 4, batch 6900, loss[loss=0.3955, simple_loss=0.4229, pruned_loss=0.184, over 14360.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03535, over 195.00 utterances.], tot_loss[loss=0.3651, simple_loss=0.4047, pruned_loss=0.1627, over 2782716.40 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07092, over 44651.78 utterances.], batch size: 195, lr: 9.45e-04
+2022-09-17 08:05:18,582 INFO [train.py:885] (0/2) Epoch 4, batch 6950, loss[loss=0.3445, simple_loss=0.3523, pruned_loss=0.1683, over 12330.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.1727, over 24.00 utterances.], tot_loss[loss=0.3649, simple_loss=0.4043, pruned_loss=0.1628, over 2783820.74 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06792, over 43852.78 utterances.], batch size: 24, lr: 9.45e-04
+2022-09-17 08:05:47,989 INFO [train.py:885] (0/2) Epoch 4, batch 7000, loss[loss=0.2702, simple_loss=0.3113, pruned_loss=0.1145, over 13861.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.06264, over 69.00 utterances.], tot_loss[loss=0.37, simple_loss=0.4088, pruned_loss=0.1656, over 2781726.67 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07087, over 45640.07 utterances.], batch size: 69, lr: 9.44e-04
+2022-09-17 08:06:17,438 INFO [train.py:885] (0/2) Epoch 4, batch 7050, loss[loss=0.6043, simple_loss=0.6197, pruned_loss=0.2945, over 13125.00 frames. utt_duration=81.97 frames, utt_pad_proportion=0.109, over 653.00 utterances.], tot_loss[loss=0.3672, simple_loss=0.4069, pruned_loss=0.1638, over 2779602.40 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07166, over 45812.86 utterances.], batch size: 653, lr: 9.44e-04
+2022-09-17 08:06:46,480 INFO [train.py:885] (0/2) Epoch 4, batch 7100, loss[loss=0.393, simple_loss=0.4216, pruned_loss=0.1822, over 14313.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04015, over 154.00 utterances.], tot_loss[loss=0.3683, simple_loss=0.4069, pruned_loss=0.1648, over 2779259.38 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07103, over 45405.92 utterances.], batch size: 154, lr: 9.43e-04
+2022-09-17 08:07:15,811 INFO [train.py:885] (0/2) Epoch 4, batch 7150, loss[loss=0.4304, simple_loss=0.4553, pruned_loss=0.2028, over 14343.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03707, over 283.00 utterances.], tot_loss[loss=0.367, simple_loss=0.406, pruned_loss=0.164, over 2777514.08 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07189, over 45530.63 utterances.], batch size: 283, lr: 9.43e-04
+2022-09-17 08:07:46,235 INFO [train.py:885] (0/2) Epoch 4, batch 7200, loss[loss=0.3759, simple_loss=0.4164, pruned_loss=0.1677, over 14359.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03321, over 244.00 utterances.], tot_loss[loss=0.3747, simple_loss=0.4132, pruned_loss=0.1681, over 2776767.02 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07462, over 48483.40 utterances.], batch size: 244, lr: 9.42e-04
+2022-09-17 08:08:15,902 INFO [train.py:885] (0/2) Epoch 4, batch 7250, loss[loss=0.3972, simple_loss=0.423, pruned_loss=0.1857, over 14269.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04056, over 180.00 utterances.], tot_loss[loss=0.3653, simple_loss=0.4056, pruned_loss=0.1625, over 2781008.68 frames. utt_duration=243 frames, utt_pad_proportion=0.07196, over 46059.57 utterances.], batch size: 180, lr: 9.42e-04
+2022-09-17 08:08:45,032 INFO [train.py:885] (0/2) Epoch 4, batch 7300, loss[loss=0.2257, simple_loss=0.2779, pruned_loss=0.08671, over 13596.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08482, over 50.00 utterances.], tot_loss[loss=0.3653, simple_loss=0.4054, pruned_loss=0.1626, over 2779381.49 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07173, over 45309.34 utterances.], batch size: 50, lr: 9.41e-04
+2022-09-17 08:09:14,723 INFO [train.py:885] (0/2) Epoch 4, batch 7350, loss[loss=0.645, simple_loss=0.6709, pruned_loss=0.3096, over 12486.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 811.00 utterances.], tot_loss[loss=0.3736, simple_loss=0.4119, pruned_loss=0.1676, over 2778471.73 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07512, over 47569.33 utterances.], batch size: 811, lr: 9.41e-04
+2022-09-17 08:09:43,591 INFO [train.py:885] (0/2) Epoch 4, batch 7400, loss[loss=0.2799, simple_loss=0.3227, pruned_loss=0.1186, over 13905.00 frames. utt_duration=928.4 frames, utt_pad_proportion=0.06032, over 60.00 utterances.], tot_loss[loss=0.3696, simple_loss=0.4082, pruned_loss=0.1655, over 2780362.90 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07346, over 46222.05 utterances.], batch size: 60, lr: 9.40e-04
+2022-09-17 08:10:13,096 INFO [train.py:885] (0/2) Epoch 4, batch 7450, loss[loss=0.4633, simple_loss=0.4676, pruned_loss=0.2295, over 14192.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04518, over 306.00 utterances.], tot_loss[loss=0.3676, simple_loss=0.4071, pruned_loss=0.1641, over 2782397.67 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07114, over 45945.30 utterances.], batch size: 306, lr: 9.40e-04
+2022-09-17 08:10:42,850 INFO [train.py:885] (0/2) Epoch 4, batch 7500, loss[loss=0.4038, simple_loss=0.4376, pruned_loss=0.185, over 14200.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04507, over 306.00 utterances.], tot_loss[loss=0.362, simple_loss=0.4024, pruned_loss=0.1608, over 2784555.52 frames. utt_duration=252 frames, utt_pad_proportion=0.06932, over 44463.62 utterances.], batch size: 306, lr: 9.39e-04
+2022-09-17 08:11:12,778 INFO [train.py:885] (0/2) Epoch 4, batch 7550, loss[loss=0.3643, simple_loss=0.417, pruned_loss=0.1558, over 14299.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03906, over 225.00 utterances.], tot_loss[loss=0.3629, simple_loss=0.4034, pruned_loss=0.1613, over 2784921.58 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07059, over 44443.94 utterances.], batch size: 225, lr: 9.39e-04
+2022-09-17 08:11:41,849 INFO [train.py:885] (0/2) Epoch 4, batch 7600, loss[loss=0.4027, simple_loss=0.4423, pruned_loss=0.1815, over 14279.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04057, over 283.00 utterances.], tot_loss[loss=0.3637, simple_loss=0.4035, pruned_loss=0.1619, over 2785034.34 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07059, over 44001.01 utterances.], batch size: 283, lr: 9.38e-04
+2022-09-17 08:12:11,173 INFO [train.py:885] (0/2) Epoch 4, batch 7650, loss[loss=0.3642, simple_loss=0.4152, pruned_loss=0.1566, over 14247.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04256, over 225.00 utterances.], tot_loss[loss=0.3621, simple_loss=0.4018, pruned_loss=0.1612, over 2782057.65 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07028, over 44283.04 utterances.], batch size: 225, lr: 9.38e-04
+2022-09-17 08:12:40,041 INFO [train.py:885] (0/2) Epoch 4, batch 7700, loss[loss=0.4548, simple_loss=0.4604, pruned_loss=0.2246, over 14350.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03633, over 195.00 utterances.], tot_loss[loss=0.3657, simple_loss=0.4048, pruned_loss=0.1633, over 2783024.77 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07012, over 44930.60 utterances.], batch size: 195, lr: 9.37e-04
+2022-09-17 08:13:09,729 INFO [train.py:885] (0/2) Epoch 4, batch 7750, loss[loss=0.4636, simple_loss=0.4765, pruned_loss=0.2254, over 14356.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03629, over 283.00 utterances.], tot_loss[loss=0.3655, simple_loss=0.4051, pruned_loss=0.163, over 2784228.65 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07005, over 45602.92 utterances.], batch size: 283, lr: 9.37e-04
+2022-09-17 08:13:39,449 INFO [train.py:885] (0/2) Epoch 4, batch 7800, loss[loss=0.1992, simple_loss=0.2597, pruned_loss=0.06937, over 13416.00 frames. utt_duration=1580 frames, utt_pad_proportion=0.09992, over 34.00 utterances.], tot_loss[loss=0.3642, simple_loss=0.4044, pruned_loss=0.162, over 2778275.92 frames. utt_duration=243.8 frames, utt_pad_proportion=0.073, over 45855.30 utterances.], batch size: 34, lr: 9.36e-04
+2022-09-17 08:14:08,791 INFO [train.py:885] (0/2) Epoch 4, batch 7850, loss[loss=0.5031, simple_loss=0.498, pruned_loss=0.2541, over 14238.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04271, over 335.00 utterances.], tot_loss[loss=0.3658, simple_loss=0.4063, pruned_loss=0.1627, over 2780745.29 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07305, over 46548.38 utterances.], batch size: 335, lr: 9.36e-04
+2022-09-17 08:14:38,692 INFO [train.py:885] (0/2) Epoch 4, batch 7900, loss[loss=0.2609, simple_loss=0.2985, pruned_loss=0.1116, over 13943.00 frames. utt_duration=809.9 frames, utt_pad_proportion=0.05721, over 69.00 utterances.], tot_loss[loss=0.3669, simple_loss=0.4073, pruned_loss=0.1632, over 2780430.83 frames. utt_duration=239 frames, utt_pad_proportion=0.07308, over 46824.76 utterances.], batch size: 69, lr: 9.35e-04
+2022-09-17 08:15:08,436 INFO [train.py:885] (0/2) Epoch 4, batch 7950, loss[loss=0.4041, simple_loss=0.4382, pruned_loss=0.185, over 14304.00 frames. utt_duration=273.9 frames, utt_pad_proportion=0.03878, over 210.00 utterances.], tot_loss[loss=0.369, simple_loss=0.4091, pruned_loss=0.1645, over 2780290.65 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07384, over 47667.83 utterances.], batch size: 210, lr: 9.35e-04
+2022-09-17 08:15:37,653 INFO [train.py:885] (0/2) Epoch 4, batch 8000, loss[loss=0.2692, simple_loss=0.3201, pruned_loss=0.1091, over 14175.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04824, over 89.00 utterances.], tot_loss[loss=0.3674, simple_loss=0.408, pruned_loss=0.1634, over 2784497.94 frames. utt_duration=237.9 frames, utt_pad_proportion=0.0722, over 47116.19 utterances.], batch size: 89, lr: 9.34e-04
+2022-09-17 08:16:07,868 INFO [train.py:885] (0/2) Epoch 4, batch 8050, loss[loss=0.3691, simple_loss=0.4252, pruned_loss=0.1565, over 14288.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04017, over 283.00 utterances.], tot_loss[loss=0.367, simple_loss=0.4073, pruned_loss=0.1633, over 2779632.54 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07417, over 47461.77 utterances.], batch size: 283, lr: 9.34e-04
+2022-09-17 08:16:37,185 INFO [train.py:885] (0/2) Epoch 4, batch 8100, loss[loss=0.3805, simple_loss=0.4167, pruned_loss=0.1721, over 14239.00 frames. utt_duration=317.7 frames, utt_pad_proportion=0.04311, over 180.00 utterances.], tot_loss[loss=0.3639, simple_loss=0.4051, pruned_loss=0.1614, over 2778935.51 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07408, over 46554.94 utterances.], batch size: 180, lr: 9.33e-04
+2022-09-17 08:17:07,118 INFO [train.py:885] (0/2) Epoch 4, batch 8150, loss[loss=0.2385, simple_loss=0.3006, pruned_loss=0.08821, over 13188.00 frames. utt_duration=1288 frames, utt_pad_proportion=0.09848, over 41.00 utterances.], tot_loss[loss=0.3663, simple_loss=0.4073, pruned_loss=0.1626, over 2775683.08 frames. utt_duration=235.6 frames, utt_pad_proportion=0.0747, over 47419.83 utterances.], batch size: 41, lr: 9.33e-04
+2022-09-17 08:17:36,719 INFO [train.py:885] (0/2) Epoch 4, batch 8200, loss[loss=0.4233, simple_loss=0.494, pruned_loss=0.1763, over 13614.00 frames. utt_duration=98.6 frames, utt_pad_proportion=0.07847, over 560.00 utterances.], tot_loss[loss=0.3679, simple_loss=0.4085, pruned_loss=0.1637, over 2774713.47 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07564, over 47459.12 utterances.], batch size: 560, lr: 9.32e-04
+2022-09-17 08:18:06,093 INFO [train.py:885] (0/2) Epoch 4, batch 8250, loss[loss=0.3677, simple_loss=0.4111, pruned_loss=0.1621, over 14307.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03944, over 283.00 utterances.], tot_loss[loss=0.3666, simple_loss=0.4057, pruned_loss=0.1638, over 2776017.57 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07476, over 46031.95 utterances.], batch size: 283, lr: 9.32e-04
+2022-09-17 08:18:35,696 INFO [train.py:885] (0/2) Epoch 4, batch 8300, loss[loss=0.3019, simple_loss=0.3608, pruned_loss=0.1214, over 14319.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03993, over 154.00 utterances.], tot_loss[loss=0.3701, simple_loss=0.4081, pruned_loss=0.166, over 2780068.58 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07385, over 45629.32 utterances.], batch size: 154, lr: 9.31e-04
+2022-09-17 08:19:05,060 INFO [train.py:885] (0/2) Epoch 4, batch 8350, loss[loss=0.2901, simple_loss=0.3314, pruned_loss=0.1244, over 14027.00 frames. utt_duration=574.1 frames, utt_pad_proportion=0.05579, over 98.00 utterances.], tot_loss[loss=0.3665, simple_loss=0.4054, pruned_loss=0.1638, over 2781079.51 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07215, over 45079.47 utterances.], batch size: 98, lr: 9.31e-04
+2022-09-17 08:19:35,052 INFO [train.py:885] (0/2) Epoch 4, batch 8400, loss[loss=0.4265, simple_loss=0.4887, pruned_loss=0.1821, over 13628.00 frames. utt_duration=98.74 frames, utt_pad_proportion=0.07715, over 560.00 utterances.], tot_loss[loss=0.3633, simple_loss=0.4034, pruned_loss=0.1616, over 2782381.76 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07268, over 45011.04 utterances.], batch size: 560, lr: 9.30e-04
+2022-09-17 08:20:04,714 INFO [train.py:885] (0/2) Epoch 4, batch 8450, loss[loss=0.3741, simple_loss=0.4138, pruned_loss=0.1672, over 14294.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03916, over 180.00 utterances.], tot_loss[loss=0.3605, simple_loss=0.4012, pruned_loss=0.1599, over 2782652.18 frames. utt_duration=252 frames, utt_pad_proportion=0.0719, over 44432.02 utterances.], batch size: 180, lr: 9.30e-04
+2022-09-17 08:20:34,818 INFO [train.py:885] (0/2) Epoch 4, batch 8500, loss[loss=0.1955, simple_loss=0.252, pruned_loss=0.06955, over 13160.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.11, over 33.00 utterances.], tot_loss[loss=0.3636, simple_loss=0.4039, pruned_loss=0.1616, over 2779475.56 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07298, over 44967.11 utterances.], batch size: 33, lr: 9.29e-04
+2022-09-17 08:21:04,546 INFO [train.py:885] (0/2) Epoch 4, batch 8550, loss[loss=0.6722, simple_loss=0.6822, pruned_loss=0.3311, over 12476.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1468, over 810.00 utterances.], tot_loss[loss=0.3645, simple_loss=0.4042, pruned_loss=0.1624, over 2781760.26 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07265, over 44633.86 utterances.], batch size: 810, lr: 9.29e-04
+2022-09-17 08:21:33,620 INFO [train.py:885] (0/2) Epoch 4, batch 8600, loss[loss=0.2533, simple_loss=0.3154, pruned_loss=0.09554, over 14206.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04236, over 109.00 utterances.], tot_loss[loss=0.3684, simple_loss=0.4082, pruned_loss=0.1643, over 2780997.98 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07364, over 46106.22 utterances.], batch size: 109, lr: 9.28e-04
+2022-09-17 08:22:03,264 INFO [train.py:885] (0/2) Epoch 4, batch 8650, loss[loss=0.3697, simple_loss=0.4209, pruned_loss=0.1592, over 14347.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.0371, over 262.00 utterances.], tot_loss[loss=0.364, simple_loss=0.4045, pruned_loss=0.1618, over 2776236.98 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07422, over 45492.35 utterances.], batch size: 262, lr: 9.28e-04
+2022-09-17 08:22:32,679 INFO [train.py:885] (0/2) Epoch 4, batch 8700, loss[loss=0.4048, simple_loss=0.4355, pruned_loss=0.1871, over 14353.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03611, over 210.00 utterances.], tot_loss[loss=0.3621, simple_loss=0.4034, pruned_loss=0.1604, over 2780246.74 frames. utt_duration=246 frames, utt_pad_proportion=0.072, over 45489.54 utterances.], batch size: 210, lr: 9.27e-04
+2022-09-17 08:23:02,603 INFO [train.py:885] (0/2) Epoch 4, batch 8750, loss[loss=0.34, simple_loss=0.3823, pruned_loss=0.1488, over 14338.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04085, over 110.00 utterances.], tot_loss[loss=0.3638, simple_loss=0.4045, pruned_loss=0.1615, over 2777290.71 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07372, over 46050.16 utterances.], batch size: 110, lr: 9.27e-04
+2022-09-17 08:23:32,043 INFO [train.py:885] (0/2) Epoch 4, batch 8800, loss[loss=0.2208, simple_loss=0.2716, pruned_loss=0.08497, over 13797.00 frames. utt_duration=921.3 frames, utt_pad_proportion=0.07129, over 60.00 utterances.], tot_loss[loss=0.3615, simple_loss=0.4035, pruned_loss=0.1598, over 2775860.62 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07447, over 46408.72 utterances.], batch size: 60, lr: 9.26e-04
+2022-09-17 08:24:01,930 INFO [train.py:885] (0/2) Epoch 4, batch 8850, loss[loss=0.4533, simple_loss=0.4961, pruned_loss=0.2053, over 13752.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07316, over 411.00 utterances.], tot_loss[loss=0.3603, simple_loss=0.4038, pruned_loss=0.1584, over 2777664.29 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07414, over 46918.96 utterances.], batch size: 411, lr: 9.26e-04
+2022-09-17 08:24:30,762 INFO [train.py:885] (0/2) Epoch 4, batch 8900, loss[loss=0.3562, simple_loss=0.4061, pruned_loss=0.1531, over 14273.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.0367, over 225.00 utterances.], tot_loss[loss=0.3622, simple_loss=0.4047, pruned_loss=0.1598, over 2780679.87 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07297, over 46401.49 utterances.], batch size: 225, lr: 9.25e-04
+2022-09-17 08:25:00,435 INFO [train.py:885] (0/2) Epoch 4, batch 8950, loss[loss=0.3062, simple_loss=0.3271, pruned_loss=0.1427, over 13956.00 frames. utt_duration=810.4 frames, utt_pad_proportion=0.0566, over 69.00 utterances.], tot_loss[loss=0.3594, simple_loss=0.4019, pruned_loss=0.1584, over 2777388.37 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07432, over 45641.32 utterances.], batch size: 69, lr: 9.25e-04
+2022-09-17 08:25:29,654 INFO [train.py:885] (0/2) Epoch 4, batch 9000, loss[loss=0.1795, simple_loss=0.224, pruned_loss=0.06756, over 12368.00 frames. utt_duration=2062 frames, utt_pad_proportion=0.1654, over 24.00 utterances.], tot_loss[loss=0.365, simple_loss=0.407, pruned_loss=0.1615, over 2775435.73 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07498, over 47417.36 utterances.], batch size: 24, lr: 9.24e-04
+2022-09-17 08:25:29,656 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 08:25:34,295 INFO [train.py:914] (0/2) Epoch 4, validation: loss=0.2375, simple_loss=0.306, pruned_loss=0.08451, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 08:26:03,952 INFO [train.py:885] (0/2) Epoch 4, batch 9050, loss[loss=0.2398, simple_loss=0.2753, pruned_loss=0.1022, over 13472.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09384, over 50.00 utterances.], tot_loss[loss=0.3626, simple_loss=0.4042, pruned_loss=0.1605, over 2773357.90 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07453, over 46558.36 utterances.], batch size: 50, lr: 9.24e-04
+2022-09-17 08:26:33,975 INFO [train.py:885] (0/2) Epoch 4, batch 9100, loss[loss=0.8076, simple_loss=0.775, pruned_loss=0.4202, over 12459.00 frames. utt_duration=63.14 frames, utt_pad_proportion=0.1468, over 810.00 utterances.], tot_loss[loss=0.3661, simple_loss=0.4078, pruned_loss=0.1622, over 2775685.99 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07277, over 47638.55 utterances.], batch size: 810, lr: 9.23e-04
+2022-09-17 08:27:03,556 INFO [train.py:885] (0/2) Epoch 4, batch 9150, loss[loss=0.367, simple_loss=0.407, pruned_loss=0.1635, over 14263.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.04385, over 154.00 utterances.], tot_loss[loss=0.3611, simple_loss=0.4034, pruned_loss=0.1594, over 2775314.93 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07256, over 46105.09 utterances.], batch size: 154, lr: 9.23e-04
+2022-09-17 08:27:32,909 INFO [train.py:885] (0/2) Epoch 4, batch 9200, loss[loss=0.4042, simple_loss=0.4525, pruned_loss=0.178, over 13983.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05672, over 365.00 utterances.], tot_loss[loss=0.361, simple_loss=0.4032, pruned_loss=0.1594, over 2774530.58 frames. utt_duration=244.5 frames, utt_pad_proportion=0.0732, over 45661.19 utterances.], batch size: 365, lr: 9.22e-04
+2022-09-17 08:28:02,759 INFO [train.py:885] (0/2) Epoch 4, batch 9250, loss[loss=0.4972, simple_loss=0.4932, pruned_loss=0.2506, over 14251.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04184, over 335.00 utterances.], tot_loss[loss=0.3615, simple_loss=0.404, pruned_loss=0.1595, over 2775885.35 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07211, over 46423.14 utterances.], batch size: 335, lr: 9.22e-04
+2022-09-17 08:28:32,119 INFO [train.py:885] (0/2) Epoch 4, batch 9300, loss[loss=0.2529, simple_loss=0.2996, pruned_loss=0.1031, over 13728.00 frames. utt_duration=1100 frames, utt_pad_proportion=0.07517, over 50.00 utterances.], tot_loss[loss=0.3601, simple_loss=0.4028, pruned_loss=0.1587, over 2778055.71 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07315, over 46368.50 utterances.], batch size: 50, lr: 9.21e-04
+2022-09-17 08:29:01,663 INFO [train.py:885] (0/2) Epoch 4, batch 9350, loss[loss=0.26, simple_loss=0.3134, pruned_loss=0.1033, over 14062.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05619, over 79.00 utterances.], tot_loss[loss=0.3638, simple_loss=0.4055, pruned_loss=0.161, over 2786576.44 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07035, over 45897.11 utterances.], batch size: 79, lr: 9.21e-04
+2022-09-17 08:29:31,843 INFO [train.py:885] (0/2) Epoch 4, batch 9400, loss[loss=0.4182, simple_loss=0.4478, pruned_loss=0.1943, over 14321.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03867, over 283.00 utterances.], tot_loss[loss=0.3618, simple_loss=0.4039, pruned_loss=0.1599, over 2788193.60 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06845, over 45378.08 utterances.], batch size: 283, lr: 9.20e-04
+2022-09-17 08:30:01,291 INFO [train.py:885] (0/2) Epoch 4, batch 9450, loss[loss=0.3258, simple_loss=0.3736, pruned_loss=0.139, over 14129.00 frames. utt_duration=578.1 frames, utt_pad_proportion=0.05231, over 98.00 utterances.], tot_loss[loss=0.3596, simple_loss=0.4014, pruned_loss=0.1588, over 2791146.84 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06607, over 44004.97 utterances.], batch size: 98, lr: 9.20e-04
+2022-09-17 08:30:31,283 INFO [train.py:885] (0/2) Epoch 4, batch 9500, loss[loss=0.4839, simple_loss=0.5277, pruned_loss=0.22, over 13622.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07815, over 560.00 utterances.], tot_loss[loss=0.3608, simple_loss=0.4026, pruned_loss=0.1595, over 2789690.78 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06571, over 44475.61 utterances.], batch size: 560, lr: 9.19e-04
+2022-09-17 08:31:00,838 INFO [train.py:885] (0/2) Epoch 4, batch 9550, loss[loss=0.5346, simple_loss=0.5281, pruned_loss=0.2706, over 14192.00 frames. utt_duration=170.8 frames, utt_pad_proportion=0.04601, over 335.00 utterances.], tot_loss[loss=0.3598, simple_loss=0.4013, pruned_loss=0.1592, over 2790960.33 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06531, over 43835.70 utterances.], batch size: 335, lr: 9.19e-04
+2022-09-17 08:31:29,806 INFO [train.py:885] (0/2) Epoch 4, batch 9600, loss[loss=0.2914, simple_loss=0.3508, pruned_loss=0.116, over 14315.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03907, over 120.00 utterances.], tot_loss[loss=0.3614, simple_loss=0.4028, pruned_loss=0.16, over 2784628.08 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06803, over 45136.82 utterances.], batch size: 120, lr: 9.18e-04
+2022-09-17 08:31:59,435 INFO [train.py:885] (0/2) Epoch 4, batch 9650, loss[loss=0.2649, simple_loss=0.3218, pruned_loss=0.1039, over 14173.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04508, over 109.00 utterances.], tot_loss[loss=0.3643, simple_loss=0.4056, pruned_loss=0.1615, over 2778799.16 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0718, over 46661.36 utterances.], batch size: 109, lr: 9.18e-04
+2022-09-17 08:32:28,933 INFO [train.py:885] (0/2) Epoch 4, batch 9700, loss[loss=0.1716, simple_loss=0.2089, pruned_loss=0.06718, over 13102.00 frames. utt_duration=1590 frames, utt_pad_proportion=0.1103, over 33.00 utterances.], tot_loss[loss=0.3578, simple_loss=0.3999, pruned_loss=0.1578, over 2777180.92 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07152, over 44928.26 utterances.], batch size: 33, lr: 9.17e-04
+2022-09-17 08:32:58,838 INFO [train.py:885] (0/2) Epoch 4, batch 9750, loss[loss=0.2697, simple_loss=0.3274, pruned_loss=0.106, over 14113.00 frames. utt_duration=577.5 frames, utt_pad_proportion=0.05335, over 98.00 utterances.], tot_loss[loss=0.3615, simple_loss=0.404, pruned_loss=0.1595, over 2779378.53 frames. utt_duration=239 frames, utt_pad_proportion=0.07212, over 46809.19 utterances.], batch size: 98, lr: 9.17e-04
+2022-09-17 08:33:28,817 INFO [train.py:885] (0/2) Epoch 4, batch 9800, loss[loss=0.3972, simple_loss=0.4383, pruned_loss=0.178, over 14334.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03469, over 244.00 utterances.], tot_loss[loss=0.3628, simple_loss=0.4054, pruned_loss=0.1601, over 2770933.44 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07486, over 47900.80 utterances.], batch size: 244, lr: 9.16e-04
+2022-09-17 08:33:57,342 INFO [train.py:885] (0/2) Epoch 4, batch 9850, loss[loss=0.232, simple_loss=0.2779, pruned_loss=0.0931, over 13913.00 frames. utt_duration=929 frames, utt_pad_proportion=0.06063, over 60.00 utterances.], tot_loss[loss=0.3563, simple_loss=0.3993, pruned_loss=0.1567, over 2772756.91 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07352, over 45386.74 utterances.], batch size: 60, lr: 9.16e-04
+2022-09-17 08:34:27,202 INFO [train.py:885] (0/2) Epoch 4, batch 9900, loss[loss=0.386, simple_loss=0.4275, pruned_loss=0.1723, over 14293.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04037, over 262.00 utterances.], tot_loss[loss=0.3543, simple_loss=0.3973, pruned_loss=0.1557, over 2776050.49 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07147, over 44793.23 utterances.], batch size: 262, lr: 9.16e-04
+2022-09-17 08:34:57,326 INFO [train.py:885] (0/2) Epoch 4, batch 9950, loss[loss=0.4103, simple_loss=0.4331, pruned_loss=0.1937, over 14324.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03797, over 226.00 utterances.], tot_loss[loss=0.3585, simple_loss=0.4011, pruned_loss=0.158, over 2770400.10 frames. utt_duration=238 frames, utt_pad_proportion=0.07409, over 46844.11 utterances.], batch size: 226, lr: 9.15e-04
+2022-09-17 08:35:26,506 INFO [train.py:885] (0/2) Epoch 4, batch 10000, loss[loss=0.3014, simple_loss=0.3479, pruned_loss=0.1274, over 14184.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04786, over 89.00 utterances.], tot_loss[loss=0.3622, simple_loss=0.4044, pruned_loss=0.16, over 2773082.27 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07373, over 46979.72 utterances.], batch size: 89, lr: 9.15e-04
+2022-09-17 08:35:56,022 INFO [train.py:885] (0/2) Epoch 4, batch 10050, loss[loss=0.3403, simple_loss=0.38, pruned_loss=0.1503, over 14356.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.0385, over 167.00 utterances.], tot_loss[loss=0.3626, simple_loss=0.4045, pruned_loss=0.1603, over 2776569.87 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07243, over 46032.65 utterances.], batch size: 167, lr: 9.14e-04
+2022-09-17 08:36:25,863 INFO [train.py:885] (0/2) Epoch 4, batch 10100, loss[loss=0.3266, simple_loss=0.3804, pruned_loss=0.1364, over 14033.00 frames. utt_duration=574.2 frames, utt_pad_proportion=0.05552, over 98.00 utterances.], tot_loss[loss=0.3598, simple_loss=0.4027, pruned_loss=0.1584, over 2777996.37 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07223, over 45535.40 utterances.], batch size: 98, lr: 9.14e-04
+2022-09-17 08:36:49,963 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-48000.pt
+2022-09-17 08:36:55,837 INFO [train.py:885] (0/2) Epoch 4, batch 10150, loss[loss=0.3622, simple_loss=0.3878, pruned_loss=0.1683, over 14189.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04349, over 109.00 utterances.], tot_loss[loss=0.3651, simple_loss=0.4078, pruned_loss=0.1612, over 2778166.32 frames. utt_duration=237 frames, utt_pad_proportion=0.07335, over 47179.51 utterances.], batch size: 109, lr: 9.13e-04
+2022-09-17 08:37:24,827 INFO [train.py:885] (0/2) Epoch 4, batch 10200, loss[loss=0.3618, simple_loss=0.4235, pruned_loss=0.15, over 13957.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.0592, over 365.00 utterances.], tot_loss[loss=0.3638, simple_loss=0.4075, pruned_loss=0.1601, over 2783428.82 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07134, over 47004.23 utterances.], batch size: 365, lr: 9.13e-04
+2022-09-17 08:37:54,423 INFO [train.py:885] (0/2) Epoch 4, batch 10250, loss[loss=0.3595, simple_loss=0.4044, pruned_loss=0.1573, over 14370.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03215, over 244.00 utterances.], tot_loss[loss=0.3628, simple_loss=0.4056, pruned_loss=0.16, over 2786420.70 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07017, over 45684.91 utterances.], batch size: 244, lr: 9.12e-04
+2022-09-17 08:38:24,311 INFO [train.py:885] (0/2) Epoch 4, batch 10300, loss[loss=0.7745, simple_loss=0.7539, pruned_loss=0.3975, over 12579.00 frames. utt_duration=63.55 frames, utt_pad_proportion=0.1412, over 811.00 utterances.], tot_loss[loss=0.365, simple_loss=0.4071, pruned_loss=0.1614, over 2786176.51 frames. utt_duration=245 frames, utt_pad_proportion=0.06985, over 45760.03 utterances.], batch size: 811, lr: 9.12e-04
+2022-09-17 08:38:54,025 INFO [train.py:885] (0/2) Epoch 4, batch 10350, loss[loss=0.2591, simple_loss=0.3026, pruned_loss=0.1078, over 13555.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08208, over 50.00 utterances.], tot_loss[loss=0.366, simple_loss=0.4073, pruned_loss=0.1623, over 2782457.61 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07047, over 46124.47 utterances.], batch size: 50, lr: 9.11e-04
+2022-09-17 08:39:24,431 INFO [train.py:885] (0/2) Epoch 4, batch 10400, loss[loss=0.2875, simple_loss=0.3351, pruned_loss=0.12, over 14147.00 frames. utt_duration=578.9 frames, utt_pad_proportion=0.04945, over 98.00 utterances.], tot_loss[loss=0.3653, simple_loss=0.407, pruned_loss=0.1618, over 2782626.38 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07047, over 46633.92 utterances.], batch size: 98, lr: 9.11e-04
+2022-09-17 08:39:53,255 INFO [train.py:885] (0/2) Epoch 4, batch 10450, loss[loss=0.2616, simple_loss=0.3176, pruned_loss=0.1028, over 14066.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.0594, over 70.00 utterances.], tot_loss[loss=0.3654, simple_loss=0.4076, pruned_loss=0.1616, over 2779992.79 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07131, over 47527.13 utterances.], batch size: 70, lr: 9.10e-04
+2022-09-17 08:40:22,889 INFO [train.py:885] (0/2) Epoch 4, batch 10500, loss[loss=0.4607, simple_loss=0.5157, pruned_loss=0.2028, over 13628.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.07729, over 560.00 utterances.], tot_loss[loss=0.3631, simple_loss=0.4054, pruned_loss=0.1604, over 2781348.31 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07172, over 46597.02 utterances.], batch size: 560, lr: 9.10e-04
+2022-09-17 08:40:52,414 INFO [train.py:885] (0/2) Epoch 4, batch 10550, loss[loss=0.5715, simple_loss=0.5465, pruned_loss=0.2983, over 14292.00 frames. utt_duration=172 frames, utt_pad_proportion=0.03931, over 335.00 utterances.], tot_loss[loss=0.3624, simple_loss=0.405, pruned_loss=0.1599, over 2784692.50 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07, over 46376.75 utterances.], batch size: 335, lr: 9.09e-04
+2022-09-17 08:41:21,941 INFO [train.py:885] (0/2) Epoch 4, batch 10600, loss[loss=0.3881, simple_loss=0.4575, pruned_loss=0.1593, over 13616.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08236, over 477.00 utterances.], tot_loss[loss=0.3573, simple_loss=0.4002, pruned_loss=0.1572, over 2785025.61 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06941, over 44600.71 utterances.], batch size: 477, lr: 9.09e-04
+2022-09-17 08:41:52,081 INFO [train.py:885] (0/2) Epoch 4, batch 10650, loss[loss=0.4021, simple_loss=0.4114, pruned_loss=0.1964, over 14185.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04345, over 109.00 utterances.], tot_loss[loss=0.3634, simple_loss=0.4058, pruned_loss=0.1605, over 2784463.26 frames. utt_duration=240.8 frames, utt_pad_proportion=0.06983, over 46530.42 utterances.], batch size: 109, lr: 9.08e-04
+2022-09-17 08:42:21,152 INFO [train.py:885] (0/2) Epoch 4, batch 10700, loss[loss=0.3193, simple_loss=0.3735, pruned_loss=0.1326, over 14280.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03948, over 130.00 utterances.], tot_loss[loss=0.3604, simple_loss=0.4024, pruned_loss=0.1592, over 2786887.32 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06722, over 44641.62 utterances.], batch size: 130, lr: 9.08e-04
+2022-09-17 08:42:50,543 INFO [train.py:885] (0/2) Epoch 4, batch 10750, loss[loss=0.3526, simple_loss=0.4002, pruned_loss=0.1524, over 14332.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04001, over 167.00 utterances.], tot_loss[loss=0.3601, simple_loss=0.4022, pruned_loss=0.159, over 2790843.41 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06651, over 44609.01 utterances.], batch size: 167, lr: 9.08e-04
+2022-09-17 08:43:19,980 INFO [train.py:885] (0/2) Epoch 4, batch 10800, loss[loss=0.644, simple_loss=0.6733, pruned_loss=0.3074, over 12492.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1451, over 810.00 utterances.], tot_loss[loss=0.3589, simple_loss=0.402, pruned_loss=0.1579, over 2780967.44 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07072, over 45607.38 utterances.], batch size: 810, lr: 9.07e-04
+2022-09-17 08:43:49,153 INFO [train.py:885] (0/2) Epoch 4, batch 10850, loss[loss=0.4061, simple_loss=0.4452, pruned_loss=0.1835, over 14343.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03702, over 283.00 utterances.], tot_loss[loss=0.3582, simple_loss=0.4007, pruned_loss=0.1578, over 2783510.14 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06794, over 44656.00 utterances.], batch size: 283, lr: 9.07e-04
+2022-09-17 08:44:18,535 INFO [train.py:885] (0/2) Epoch 4, batch 10900, loss[loss=0.3182, simple_loss=0.3683, pruned_loss=0.134, over 14300.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03966, over 120.00 utterances.], tot_loss[loss=0.3561, simple_loss=0.3989, pruned_loss=0.1566, over 2778902.78 frames. utt_duration=247.2 frames, utt_pad_proportion=0.0714, over 45227.41 utterances.], batch size: 120, lr: 9.06e-04
+2022-09-17 08:44:48,069 INFO [train.py:885] (0/2) Epoch 4, batch 10950, loss[loss=0.4078, simple_loss=0.4432, pruned_loss=0.1861, over 14294.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04122, over 262.00 utterances.], tot_loss[loss=0.3527, simple_loss=0.3958, pruned_loss=0.1548, over 2781073.68 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06853, over 43824.08 utterances.], batch size: 262, lr: 9.06e-04
+2022-09-17 08:45:17,251 INFO [train.py:885] (0/2) Epoch 4, batch 11000, loss[loss=0.4121, simple_loss=0.4635, pruned_loss=0.1804, over 13838.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06911, over 412.00 utterances.], tot_loss[loss=0.354, simple_loss=0.3972, pruned_loss=0.1554, over 2777125.79 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07124, over 44558.82 utterances.], batch size: 412, lr: 9.05e-04
+2022-09-17 08:45:46,947 INFO [train.py:885] (0/2) Epoch 4, batch 11050, loss[loss=0.2204, simple_loss=0.2762, pruned_loss=0.08227, over 12251.00 frames. utt_duration=2043 frames, utt_pad_proportion=0.1631, over 24.00 utterances.], tot_loss[loss=0.3552, simple_loss=0.3992, pruned_loss=0.1556, over 2775067.73 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07198, over 45535.40 utterances.], batch size: 24, lr: 9.05e-04
+2022-09-17 08:46:16,405 INFO [train.py:885] (0/2) Epoch 4, batch 11100, loss[loss=0.3059, simple_loss=0.3388, pruned_loss=0.1365, over 12185.00 frames. utt_duration=2032 frames, utt_pad_proportion=0.1775, over 24.00 utterances.], tot_loss[loss=0.3506, simple_loss=0.3949, pruned_loss=0.1532, over 2775746.03 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06992, over 43474.52 utterances.], batch size: 24, lr: 9.04e-04
+2022-09-17 08:46:45,924 INFO [train.py:885] (0/2) Epoch 4, batch 11150, loss[loss=0.2552, simple_loss=0.3118, pruned_loss=0.09933, over 12885.00 frames. utt_duration=1984 frames, utt_pad_proportion=0.1254, over 26.00 utterances.], tot_loss[loss=0.3521, simple_loss=0.3957, pruned_loss=0.1542, over 2774839.56 frames. utt_duration=256.4 frames, utt_pad_proportion=0.07182, over 43534.66 utterances.], batch size: 26, lr: 9.04e-04
+2022-09-17 08:47:15,533 INFO [train.py:885] (0/2) Epoch 4, batch 11200, loss[loss=0.3591, simple_loss=0.4107, pruned_loss=0.1537, over 14337.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03698, over 210.00 utterances.], tot_loss[loss=0.3498, simple_loss=0.3935, pruned_loss=0.153, over 2782050.65 frames. utt_duration=264.4 frames, utt_pad_proportion=0.06788, over 42328.92 utterances.], batch size: 210, lr: 9.03e-04
+2022-09-17 08:47:45,529 INFO [train.py:885] (0/2) Epoch 4, batch 11250, loss[loss=0.3985, simple_loss=0.4455, pruned_loss=0.1758, over 13979.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.0572, over 365.00 utterances.], tot_loss[loss=0.3562, simple_loss=0.3989, pruned_loss=0.1567, over 2780611.72 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07012, over 44163.57 utterances.], batch size: 365, lr: 9.03e-04
+2022-09-17 08:48:15,024 INFO [train.py:885] (0/2) Epoch 4, batch 11300, loss[loss=0.2315, simple_loss=0.2906, pruned_loss=0.08618, over 13334.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08924, over 41.00 utterances.], tot_loss[loss=0.3555, simple_loss=0.3979, pruned_loss=0.1566, over 2783102.54 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06895, over 43529.52 utterances.], batch size: 41, lr: 9.03e-04
+2022-09-17 08:48:44,219 INFO [train.py:885] (0/2) Epoch 4, batch 11350, loss[loss=0.4248, simple_loss=0.4785, pruned_loss=0.1855, over 13666.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07847, over 477.00 utterances.], tot_loss[loss=0.3546, simple_loss=0.3965, pruned_loss=0.1563, over 2785630.80 frames. utt_duration=265.9 frames, utt_pad_proportion=0.06727, over 42136.67 utterances.], batch size: 477, lr: 9.02e-04
+2022-09-17 08:49:13,557 INFO [train.py:885] (0/2) Epoch 4, batch 11400, loss[loss=0.512, simple_loss=0.5368, pruned_loss=0.2436, over 13761.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07191, over 411.00 utterances.], tot_loss[loss=0.3572, simple_loss=0.3993, pruned_loss=0.1575, over 2783838.17 frames. utt_duration=260.8 frames, utt_pad_proportion=0.06815, over 42935.11 utterances.], batch size: 411, lr: 9.02e-04
+2022-09-17 08:49:42,996 INFO [train.py:885] (0/2) Epoch 4, batch 11450, loss[loss=0.4825, simple_loss=0.4929, pruned_loss=0.2361, over 14207.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04491, over 335.00 utterances.], tot_loss[loss=0.3566, simple_loss=0.3986, pruned_loss=0.1573, over 2778631.21 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06953, over 43520.50 utterances.], batch size: 335, lr: 9.01e-04
+2022-09-17 08:50:12,610 INFO [train.py:885] (0/2) Epoch 4, batch 11500, loss[loss=0.3941, simple_loss=0.4303, pruned_loss=0.179, over 14256.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04124, over 225.00 utterances.], tot_loss[loss=0.3557, simple_loss=0.3979, pruned_loss=0.1567, over 2781072.24 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06917, over 43320.99 utterances.], batch size: 225, lr: 9.01e-04
+2022-09-17 08:50:42,085 INFO [train.py:885] (0/2) Epoch 4, batch 11550, loss[loss=0.2478, simple_loss=0.2996, pruned_loss=0.09799, over 12407.00 frames. utt_duration=1987 frames, utt_pad_proportion=0.1549, over 25.00 utterances.], tot_loss[loss=0.355, simple_loss=0.3982, pruned_loss=0.1559, over 2778019.49 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06938, over 44376.33 utterances.], batch size: 25, lr: 9.00e-04
+2022-09-17 08:51:11,882 INFO [train.py:885] (0/2) Epoch 4, batch 11600, loss[loss=0.6021, simple_loss=0.6149, pruned_loss=0.2946, over 13177.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1066, over 653.00 utterances.], tot_loss[loss=0.3539, simple_loss=0.3972, pruned_loss=0.1553, over 2779286.82 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06874, over 44529.48 utterances.], batch size: 653, lr: 9.00e-04
+2022-09-17 08:51:41,126 INFO [train.py:885] (0/2) Epoch 4, batch 11650, loss[loss=0.4909, simple_loss=0.4962, pruned_loss=0.2428, over 14205.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04425, over 306.00 utterances.], tot_loss[loss=0.3575, simple_loss=0.4002, pruned_loss=0.1574, over 2780801.52 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0679, over 45146.23 utterances.], batch size: 306, lr: 8.99e-04
+2022-09-17 08:52:10,675 INFO [train.py:885] (0/2) Epoch 4, batch 11700, loss[loss=0.4791, simple_loss=0.5125, pruned_loss=0.2228, over 13766.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07156, over 411.00 utterances.], tot_loss[loss=0.3558, simple_loss=0.3992, pruned_loss=0.1562, over 2781027.72 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06852, over 44965.98 utterances.], batch size: 411, lr: 8.99e-04
+2022-09-17 08:52:40,515 INFO [train.py:885] (0/2) Epoch 4, batch 11750, loss[loss=0.391, simple_loss=0.4451, pruned_loss=0.1685, over 13958.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05844, over 365.00 utterances.], tot_loss[loss=0.3583, simple_loss=0.4016, pruned_loss=0.1575, over 2777673.20 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07165, over 46255.38 utterances.], batch size: 365, lr: 8.98e-04
+2022-09-17 08:53:10,443 INFO [train.py:885] (0/2) Epoch 4, batch 11800, loss[loss=0.2765, simple_loss=0.3378, pruned_loss=0.1076, over 14162.00 frames. utt_duration=638.1 frames, utt_pad_proportion=0.05049, over 89.00 utterances.], tot_loss[loss=0.3606, simple_loss=0.4042, pruned_loss=0.1585, over 2777893.23 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07328, over 47286.80 utterances.], batch size: 89, lr: 8.98e-04
+2022-09-17 08:53:39,779 INFO [train.py:885] (0/2) Epoch 4, batch 11850, loss[loss=0.2201, simple_loss=0.2711, pruned_loss=0.08461, over 13885.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.0696, over 51.00 utterances.], tot_loss[loss=0.3575, simple_loss=0.4015, pruned_loss=0.1567, over 2776854.79 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07432, over 47038.00 utterances.], batch size: 51, lr: 8.98e-04
+2022-09-17 08:54:08,879 INFO [train.py:885] (0/2) Epoch 4, batch 11900, loss[loss=0.2949, simple_loss=0.334, pruned_loss=0.1279, over 13982.00 frames. utt_duration=709.2 frames, utt_pad_proportion=0.06068, over 79.00 utterances.], tot_loss[loss=0.3644, simple_loss=0.407, pruned_loss=0.1608, over 2778144.46 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07409, over 48229.82 utterances.], batch size: 79, lr: 8.97e-04
+2022-09-17 08:54:38,351 INFO [train.py:885] (0/2) Epoch 4, batch 11950, loss[loss=0.2773, simple_loss=0.3282, pruned_loss=0.1132, over 14021.00 frames. utt_duration=711.3 frames, utt_pad_proportion=0.05412, over 79.00 utterances.], tot_loss[loss=0.3587, simple_loss=0.4016, pruned_loss=0.1579, over 2784026.26 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07132, over 45391.07 utterances.], batch size: 79, lr: 8.97e-04
+2022-09-17 08:55:08,173 INFO [train.py:885] (0/2) Epoch 4, batch 12000, loss[loss=0.2705, simple_loss=0.3099, pruned_loss=0.1156, over 13879.00 frames. utt_duration=926.8 frames, utt_pad_proportion=0.06571, over 60.00 utterances.], tot_loss[loss=0.3595, simple_loss=0.4023, pruned_loss=0.1583, over 2786022.12 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07075, over 45929.78 utterances.], batch size: 60, lr: 8.96e-04
+2022-09-17 08:55:08,174 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 08:55:12,844 INFO [train.py:914] (0/2) Epoch 4, validation: loss=0.2384, simple_loss=0.3097, pruned_loss=0.08354, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 08:55:41,940 INFO [train.py:885] (0/2) Epoch 4, batch 12050, loss[loss=0.3416, simple_loss=0.3898, pruned_loss=0.1467, over 14345.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03943, over 167.00 utterances.], tot_loss[loss=0.358, simple_loss=0.4015, pruned_loss=0.1573, over 2782315.71 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07214, over 46129.50 utterances.], batch size: 167, lr: 8.96e-04
+2022-09-17 08:56:12,330 INFO [train.py:885] (0/2) Epoch 4, batch 12100, loss[loss=0.3078, simple_loss=0.3549, pruned_loss=0.1304, over 14148.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04649, over 109.00 utterances.], tot_loss[loss=0.3643, simple_loss=0.4066, pruned_loss=0.161, over 2782685.00 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07387, over 47472.06 utterances.], batch size: 109, lr: 8.95e-04
+2022-09-17 08:56:41,984 INFO [train.py:885] (0/2) Epoch 4, batch 12150, loss[loss=0.3822, simple_loss=0.4295, pruned_loss=0.1674, over 14372.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03187, over 244.00 utterances.], tot_loss[loss=0.3668, simple_loss=0.4084, pruned_loss=0.1626, over 2785818.46 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07303, over 47097.24 utterances.], batch size: 244, lr: 8.95e-04
+2022-09-17 08:57:11,174 INFO [train.py:885] (0/2) Epoch 4, batch 12200, loss[loss=0.2626, simple_loss=0.3142, pruned_loss=0.1055, over 14184.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04781, over 89.00 utterances.], tot_loss[loss=0.3701, simple_loss=0.411, pruned_loss=0.1646, over 2783571.41 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07484, over 47978.01 utterances.], batch size: 89, lr: 8.94e-04
+2022-09-17 08:57:40,997 INFO [train.py:885] (0/2) Epoch 4, batch 12250, loss[loss=0.4346, simple_loss=0.4597, pruned_loss=0.2048, over 14321.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03855, over 283.00 utterances.], tot_loss[loss=0.3671, simple_loss=0.4083, pruned_loss=0.163, over 2784276.24 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07392, over 47703.97 utterances.], batch size: 283, lr: 8.94e-04
+2022-09-17 08:58:09,947 INFO [train.py:885] (0/2) Epoch 4, batch 12300, loss[loss=0.2926, simple_loss=0.3394, pruned_loss=0.1229, over 14089.00 frames. utt_duration=714.8 frames, utt_pad_proportion=0.05447, over 79.00 utterances.], tot_loss[loss=0.3666, simple_loss=0.4078, pruned_loss=0.1627, over 2786237.76 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07386, over 47064.24 utterances.], batch size: 79, lr: 8.94e-04
+2022-09-17 08:58:40,270 INFO [train.py:885] (0/2) Epoch 4, batch 12350, loss[loss=0.447, simple_loss=0.4616, pruned_loss=0.2162, over 14319.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03511, over 210.00 utterances.], tot_loss[loss=0.3647, simple_loss=0.4067, pruned_loss=0.1613, over 2778427.27 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07578, over 47661.11 utterances.], batch size: 210, lr: 8.93e-04
+2022-09-17 08:59:09,547 INFO [train.py:885] (0/2) Epoch 4, batch 12400, loss[loss=0.4336, simple_loss=0.4537, pruned_loss=0.2068, over 14252.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04224, over 335.00 utterances.], tot_loss[loss=0.3645, simple_loss=0.4062, pruned_loss=0.1614, over 2776189.68 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07498, over 46725.75 utterances.], batch size: 335, lr: 8.93e-04
+2022-09-17 08:59:39,535 INFO [train.py:885] (0/2) Epoch 4, batch 12450, loss[loss=0.4011, simple_loss=0.4554, pruned_loss=0.1734, over 13976.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05682, over 365.00 utterances.], tot_loss[loss=0.3626, simple_loss=0.4051, pruned_loss=0.1601, over 2777128.77 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07362, over 46657.05 utterances.], batch size: 365, lr: 8.92e-04
+2022-09-17 09:00:08,979 INFO [train.py:885] (0/2) Epoch 4, batch 12500, loss[loss=0.3854, simple_loss=0.4345, pruned_loss=0.1682, over 14320.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03858, over 262.00 utterances.], tot_loss[loss=0.3685, simple_loss=0.4107, pruned_loss=0.1632, over 2783204.46 frames. utt_duration=229.3 frames, utt_pad_proportion=0.07243, over 48861.08 utterances.], batch size: 262, lr: 8.92e-04
+2022-09-17 09:00:39,084 INFO [train.py:885] (0/2) Epoch 4, batch 12550, loss[loss=0.4112, simple_loss=0.4472, pruned_loss=0.1876, over 14158.00 frames. utt_duration=186.8 frames, utt_pad_proportion=0.047, over 306.00 utterances.], tot_loss[loss=0.37, simple_loss=0.4125, pruned_loss=0.1638, over 2783522.05 frames. utt_duration=226.7 frames, utt_pad_proportion=0.07181, over 49445.00 utterances.], batch size: 306, lr: 8.91e-04
+2022-09-17 09:01:06,218 INFO [train.py:885] (0/2) Epoch 4, batch 12600, loss[loss=0.2594, simple_loss=0.3138, pruned_loss=0.1025, over 14205.00 frames. utt_duration=639.9 frames, utt_pad_proportion=0.04493, over 89.00 utterances.], tot_loss[loss=0.369, simple_loss=0.4116, pruned_loss=0.1633, over 2783729.24 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07169, over 49225.14 utterances.], batch size: 89, lr: 8.91e-04
+2022-09-17 09:01:17,052 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-4.pt
+2022-09-17 09:01:24,766 INFO [train.py:885] (0/2) Epoch 5, batch 0, loss[loss=0.4884, simple_loss=0.4996, pruned_loss=0.2386, over 14208.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.044, over 306.00 utterances.], tot_loss[loss=0.4884, simple_loss=0.4996, pruned_loss=0.2386, over 14208.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.044, over 306.00 utterances.], batch size: 306, lr: 8.59e-04
+2022-09-17 09:01:53,944 INFO [train.py:885] (0/2) Epoch 5, batch 50, loss[loss=0.4103, simple_loss=0.4424, pruned_loss=0.1891, over 14346.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03657, over 195.00 utterances.], tot_loss[loss=0.371, simple_loss=0.4103, pruned_loss=0.1659, over 631773.32 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06777, over 10205.99 utterances.], batch size: 195, lr: 8.59e-04
+2022-09-17 09:02:23,478 INFO [train.py:885] (0/2) Epoch 5, batch 100, loss[loss=0.2253, simple_loss=0.2775, pruned_loss=0.08655, over 13764.00 frames. utt_duration=918.9 frames, utt_pad_proportion=0.07371, over 60.00 utterances.], tot_loss[loss=0.3716, simple_loss=0.4106, pruned_loss=0.1663, over 1107654.19 frames. utt_duration=243 frames, utt_pad_proportion=0.06767, over 18343.23 utterances.], batch size: 60, lr: 8.58e-04
+2022-09-17 09:02:52,916 INFO [train.py:885] (0/2) Epoch 5, batch 150, loss[loss=0.3841, simple_loss=0.4241, pruned_loss=0.1721, over 14388.00 frames. utt_duration=346 frames, utt_pad_proportion=0.03621, over 167.00 utterances.], tot_loss[loss=0.3653, simple_loss=0.4055, pruned_loss=0.1625, over 1479914.81 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06881, over 23800.91 utterances.], batch size: 167, lr: 8.58e-04
+2022-09-17 09:03:22,682 INFO [train.py:885] (0/2) Epoch 5, batch 200, loss[loss=0.3073, simple_loss=0.3644, pruned_loss=0.1251, over 14204.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04838, over 141.00 utterances.], tot_loss[loss=0.361, simple_loss=0.4026, pruned_loss=0.1597, over 1771903.04 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06951, over 27984.32 utterances.], batch size: 141, lr: 8.57e-04
+2022-09-17 09:03:52,736 INFO [train.py:885] (0/2) Epoch 5, batch 250, loss[loss=0.2825, simple_loss=0.3278, pruned_loss=0.1185, over 13786.00 frames. utt_duration=800.7 frames, utt_pad_proportion=0.06565, over 69.00 utterances.], tot_loss[loss=0.365, simple_loss=0.4066, pruned_loss=0.1617, over 1994254.90 frames. utt_duration=239 frames, utt_pad_proportion=0.07253, over 33586.27 utterances.], batch size: 69, lr: 8.57e-04
+2022-09-17 09:04:22,167 INFO [train.py:885] (0/2) Epoch 5, batch 300, loss[loss=0.368, simple_loss=0.4497, pruned_loss=0.1431, over 13661.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07902, over 477.00 utterances.], tot_loss[loss=0.3634, simple_loss=0.4059, pruned_loss=0.1604, over 2169769.89 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06995, over 36031.57 utterances.], batch size: 477, lr: 8.57e-04
+2022-09-17 09:04:52,099 INFO [train.py:885] (0/2) Epoch 5, batch 350, loss[loss=0.3286, simple_loss=0.3769, pruned_loss=0.1401, over 14303.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.04005, over 130.00 utterances.], tot_loss[loss=0.3613, simple_loss=0.4041, pruned_loss=0.1593, over 2312886.94 frames. utt_duration=249 frames, utt_pad_proportion=0.06776, over 37373.14 utterances.], batch size: 130, lr: 8.56e-04
+2022-09-17 09:05:21,540 INFO [train.py:885] (0/2) Epoch 5, batch 400, loss[loss=0.4734, simple_loss=0.4743, pruned_loss=0.2362, over 14207.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.044, over 306.00 utterances.], tot_loss[loss=0.3656, simple_loss=0.4083, pruned_loss=0.1614, over 2417455.61 frames. utt_duration=237 frames, utt_pad_proportion=0.06924, over 41053.26 utterances.], batch size: 306, lr: 8.56e-04
+2022-09-17 09:05:50,984 INFO [train.py:885] (0/2) Epoch 5, batch 450, loss[loss=0.3976, simple_loss=0.4228, pruned_loss=0.1862, over 14290.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04178, over 154.00 utterances.], tot_loss[loss=0.3676, simple_loss=0.4101, pruned_loss=0.1626, over 2502237.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07017, over 42476.93 utterances.], batch size: 154, lr: 8.55e-04
+2022-09-17 09:06:20,234 INFO [train.py:885] (0/2) Epoch 5, batch 500, loss[loss=0.6813, simple_loss=0.6999, pruned_loss=0.3313, over 12405.00 frames. utt_duration=62.8 frames, utt_pad_proportion=0.1513, over 810.00 utterances.], tot_loss[loss=0.3605, simple_loss=0.4035, pruned_loss=0.1588, over 2558505.33 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07118, over 41831.20 utterances.], batch size: 810, lr: 8.55e-04
+2022-09-17 09:06:50,099 INFO [train.py:885] (0/2) Epoch 5, batch 550, loss[loss=0.1912, simple_loss=0.2445, pruned_loss=0.06891, over 13110.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1004, over 33.00 utterances.], tot_loss[loss=0.3596, simple_loss=0.403, pruned_loss=0.1581, over 2604348.24 frames. utt_duration=243.2 frames, utt_pad_proportion=0.0715, over 43100.51 utterances.], batch size: 33, lr: 8.55e-04
+2022-09-17 09:07:19,245 INFO [train.py:885] (0/2) Epoch 5, batch 600, loss[loss=0.5459, simple_loss=0.5221, pruned_loss=0.2849, over 14244.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04239, over 335.00 utterances.], tot_loss[loss=0.3596, simple_loss=0.402, pruned_loss=0.1586, over 2645091.69 frames. utt_duration=251 frames, utt_pad_proportion=0.06861, over 42405.50 utterances.], batch size: 335, lr: 8.54e-04
+2022-09-17 09:07:48,691 INFO [train.py:885] (0/2) Epoch 5, batch 650, loss[loss=0.4196, simple_loss=0.4641, pruned_loss=0.1875, over 13983.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05643, over 365.00 utterances.], tot_loss[loss=0.359, simple_loss=0.4012, pruned_loss=0.1584, over 2677166.43 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06822, over 42679.90 utterances.], batch size: 365, lr: 8.54e-04
+2022-09-17 09:08:17,991 INFO [train.py:885] (0/2) Epoch 5, batch 700, loss[loss=0.3165, simple_loss=0.3692, pruned_loss=0.1319, over 14262.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.04079, over 130.00 utterances.], tot_loss[loss=0.3638, simple_loss=0.4055, pruned_loss=0.1611, over 2699537.98 frames. utt_duration=243 frames, utt_pad_proportion=0.06884, over 44715.86 utterances.], batch size: 130, lr: 8.53e-04
+2022-09-17 09:08:47,910 INFO [train.py:885] (0/2) Epoch 5, batch 750, loss[loss=0.2288, simple_loss=0.2723, pruned_loss=0.09263, over 14080.00 frames. utt_duration=714.2 frames, utt_pad_proportion=0.0553, over 79.00 utterances.], tot_loss[loss=0.3609, simple_loss=0.4029, pruned_loss=0.1594, over 2718628.15 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06776, over 44239.29 utterances.], batch size: 79, lr: 8.53e-04
+2022-09-17 09:09:17,152 INFO [train.py:885] (0/2) Epoch 5, batch 800, loss[loss=0.3868, simple_loss=0.4319, pruned_loss=0.1708, over 14311.00 frames. utt_duration=236.1 frames, utt_pad_proportion=0.03635, over 244.00 utterances.], tot_loss[loss=0.3639, simple_loss=0.4051, pruned_loss=0.1614, over 2732176.93 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06839, over 44823.70 utterances.], batch size: 244, lr: 8.52e-04
+2022-09-17 09:09:47,139 INFO [train.py:885] (0/2) Epoch 5, batch 850, loss[loss=0.2915, simple_loss=0.3304, pruned_loss=0.1263, over 14139.00 frames. utt_duration=636.9 frames, utt_pad_proportion=0.04945, over 89.00 utterances.], tot_loss[loss=0.3638, simple_loss=0.4045, pruned_loss=0.1616, over 2742369.41 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06943, over 44224.61 utterances.], batch size: 89, lr: 8.52e-04
+2022-09-17 09:10:16,985 INFO [train.py:885] (0/2) Epoch 5, batch 900, loss[loss=0.3974, simple_loss=0.4378, pruned_loss=0.1785, over 14267.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04084, over 225.00 utterances.], tot_loss[loss=0.3636, simple_loss=0.4048, pruned_loss=0.1612, over 2751950.40 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06969, over 45343.24 utterances.], batch size: 225, lr: 8.52e-04
+2022-09-17 09:10:46,340 INFO [train.py:885] (0/2) Epoch 5, batch 950, loss[loss=0.2366, simple_loss=0.2982, pruned_loss=0.0875, over 14072.00 frames. utt_duration=805.5 frames, utt_pad_proportion=0.06006, over 70.00 utterances.], tot_loss[loss=0.359, simple_loss=0.4011, pruned_loss=0.1585, over 2761122.12 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06888, over 43877.11 utterances.], batch size: 70, lr: 8.51e-04
+2022-09-17 09:11:16,097 INFO [train.py:885] (0/2) Epoch 5, batch 1000, loss[loss=0.4364, simple_loss=0.4581, pruned_loss=0.2074, over 14322.00 frames. utt_duration=236.3 frames, utt_pad_proportion=0.03561, over 244.00 utterances.], tot_loss[loss=0.3593, simple_loss=0.4023, pruned_loss=0.1581, over 2763720.18 frames. utt_duration=247 frames, utt_pad_proportion=0.0687, over 45030.67 utterances.], batch size: 244, lr: 8.51e-04
+2022-09-17 09:11:46,758 INFO [train.py:885] (0/2) Epoch 5, batch 1050, loss[loss=0.2671, simple_loss=0.3318, pruned_loss=0.1013, over 14074.00 frames. utt_duration=576 frames, utt_pad_proportion=0.05422, over 98.00 utterances.], tot_loss[loss=0.3592, simple_loss=0.402, pruned_loss=0.1582, over 2765611.70 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06965, over 45070.30 utterances.], batch size: 98, lr: 8.50e-04
+2022-09-17 09:12:15,339 INFO [train.py:885] (0/2) Epoch 5, batch 1100, loss[loss=0.2302, simple_loss=0.2845, pruned_loss=0.08795, over 13973.00 frames. utt_duration=799.9 frames, utt_pad_proportion=0.06557, over 70.00 utterances.], tot_loss[loss=0.3569, simple_loss=0.3995, pruned_loss=0.1572, over 2768988.42 frames. utt_duration=254 frames, utt_pad_proportion=0.0686, over 43865.74 utterances.], batch size: 70, lr: 8.50e-04
+2022-09-17 09:12:45,926 INFO [train.py:885] (0/2) Epoch 5, batch 1150, loss[loss=0.38, simple_loss=0.4137, pruned_loss=0.1732, over 14309.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03879, over 283.00 utterances.], tot_loss[loss=0.3582, simple_loss=0.4015, pruned_loss=0.1574, over 2768461.48 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07184, over 45376.67 utterances.], batch size: 283, lr: 8.50e-04
+2022-09-17 09:13:15,120 INFO [train.py:885] (0/2) Epoch 5, batch 1200, loss[loss=0.4135, simple_loss=0.4753, pruned_loss=0.1759, over 13659.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07928, over 477.00 utterances.], tot_loss[loss=0.3525, simple_loss=0.3971, pruned_loss=0.1539, over 2770456.06 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07088, over 44340.25 utterances.], batch size: 477, lr: 8.49e-04
+2022-09-17 09:13:44,516 INFO [train.py:885] (0/2) Epoch 5, batch 1250, loss[loss=0.3896, simple_loss=0.4776, pruned_loss=0.1508, over 13618.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07777, over 560.00 utterances.], tot_loss[loss=0.3559, simple_loss=0.4006, pruned_loss=0.1557, over 2773031.71 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07099, over 45252.77 utterances.], batch size: 560, lr: 8.49e-04
+2022-09-17 09:14:13,569 INFO [train.py:885] (0/2) Epoch 5, batch 1300, loss[loss=0.4007, simple_loss=0.4353, pruned_loss=0.1831, over 14341.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03688, over 195.00 utterances.], tot_loss[loss=0.3528, simple_loss=0.3976, pruned_loss=0.154, over 2779104.99 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06859, over 43832.44 utterances.], batch size: 195, lr: 8.48e-04
+2022-09-17 09:14:43,177 INFO [train.py:885] (0/2) Epoch 5, batch 1350, loss[loss=0.4356, simple_loss=0.4681, pruned_loss=0.2015, over 14287.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03898, over 225.00 utterances.], tot_loss[loss=0.3517, simple_loss=0.397, pruned_loss=0.1532, over 2782022.60 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06904, over 43857.64 utterances.], batch size: 225, lr: 8.48e-04
+2022-09-17 09:15:12,599 INFO [train.py:885] (0/2) Epoch 5, batch 1400, loss[loss=0.368, simple_loss=0.4177, pruned_loss=0.1591, over 14332.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03903, over 262.00 utterances.], tot_loss[loss=0.3481, simple_loss=0.3934, pruned_loss=0.1514, over 2784543.73 frames. utt_duration=262.3 frames, utt_pad_proportion=0.06747, over 42695.72 utterances.], batch size: 262, lr: 8.48e-04
+2022-09-17 09:15:42,154 INFO [train.py:885] (0/2) Epoch 5, batch 1450, loss[loss=0.1601, simple_loss=0.2096, pruned_loss=0.05527, over 13067.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1127, over 33.00 utterances.], tot_loss[loss=0.3472, simple_loss=0.3925, pruned_loss=0.151, over 2777469.84 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06915, over 43389.89 utterances.], batch size: 33, lr: 8.47e-04
+2022-09-17 09:16:11,748 INFO [train.py:885] (0/2) Epoch 5, batch 1500, loss[loss=0.4388, simple_loss=0.4633, pruned_loss=0.2072, over 14374.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03482, over 210.00 utterances.], tot_loss[loss=0.35, simple_loss=0.3949, pruned_loss=0.1525, over 2778692.51 frames. utt_duration=254 frames, utt_pad_proportion=0.06883, over 44008.87 utterances.], batch size: 210, lr: 8.47e-04
+2022-09-17 09:16:23,670 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-52000.pt
+2022-09-17 09:16:41,468 INFO [train.py:885] (0/2) Epoch 5, batch 1550, loss[loss=0.3244, simple_loss=0.3841, pruned_loss=0.1323, over 14333.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04008, over 167.00 utterances.], tot_loss[loss=0.3502, simple_loss=0.3956, pruned_loss=0.1525, over 2776525.67 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07067, over 45430.70 utterances.], batch size: 167, lr: 8.46e-04
+2022-09-17 09:17:11,261 INFO [train.py:885] (0/2) Epoch 5, batch 1600, loss[loss=0.3752, simple_loss=0.4077, pruned_loss=0.1714, over 14299.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03844, over 180.00 utterances.], tot_loss[loss=0.3522, simple_loss=0.3972, pruned_loss=0.1537, over 2778781.06 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06995, over 45381.10 utterances.], batch size: 180, lr: 8.46e-04
+2022-09-17 09:17:40,667 INFO [train.py:885] (0/2) Epoch 5, batch 1650, loss[loss=0.3789, simple_loss=0.4504, pruned_loss=0.1537, over 13680.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07848, over 477.00 utterances.], tot_loss[loss=0.3536, simple_loss=0.398, pruned_loss=0.1546, over 2777690.63 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07076, over 46045.07 utterances.], batch size: 477, lr: 8.46e-04
+2022-09-17 09:18:09,954 INFO [train.py:885] (0/2) Epoch 5, batch 1700, loss[loss=0.2613, simple_loss=0.3067, pruned_loss=0.108, over 14209.00 frames. utt_duration=640.1 frames, utt_pad_proportion=0.04608, over 89.00 utterances.], tot_loss[loss=0.3519, simple_loss=0.3964, pruned_loss=0.1538, over 2778706.17 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07059, over 45245.66 utterances.], batch size: 89, lr: 8.45e-04
+2022-09-17 09:18:39,174 INFO [train.py:885] (0/2) Epoch 5, batch 1750, loss[loss=0.2421, simple_loss=0.2933, pruned_loss=0.09543, over 13848.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06476, over 69.00 utterances.], tot_loss[loss=0.3558, simple_loss=0.3992, pruned_loss=0.1562, over 2779168.42 frames. utt_duration=243.4 frames, utt_pad_proportion=0.0709, over 45946.86 utterances.], batch size: 69, lr: 8.45e-04
+2022-09-17 09:19:08,560 INFO [train.py:885] (0/2) Epoch 5, batch 1800, loss[loss=0.3287, simple_loss=0.3723, pruned_loss=0.1426, over 14144.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04686, over 109.00 utterances.], tot_loss[loss=0.3585, simple_loss=0.4014, pruned_loss=0.1578, over 2781423.48 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07233, over 46090.72 utterances.], batch size: 109, lr: 8.44e-04
+2022-09-17 09:19:37,457 INFO [train.py:885] (0/2) Epoch 5, batch 1850, loss[loss=0.2149, simple_loss=0.255, pruned_loss=0.08743, over 13566.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08519, over 50.00 utterances.], tot_loss[loss=0.3528, simple_loss=0.3963, pruned_loss=0.1547, over 2780926.62 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07053, over 44204.04 utterances.], batch size: 50, lr: 8.44e-04
+2022-09-17 09:20:07,159 INFO [train.py:885] (0/2) Epoch 5, batch 1900, loss[loss=0.3755, simple_loss=0.4363, pruned_loss=0.1573, over 13749.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07288, over 411.00 utterances.], tot_loss[loss=0.3536, simple_loss=0.397, pruned_loss=0.1551, over 2783174.82 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06988, over 44579.17 utterances.], batch size: 411, lr: 8.44e-04
+2022-09-17 09:20:37,339 INFO [train.py:885] (0/2) Epoch 5, batch 1950, loss[loss=0.2788, simple_loss=0.331, pruned_loss=0.1133, over 14103.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05255, over 98.00 utterances.], tot_loss[loss=0.3588, simple_loss=0.402, pruned_loss=0.1578, over 2784425.88 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07104, over 46014.61 utterances.], batch size: 98, lr: 8.43e-04
+2022-09-17 09:21:06,190 INFO [train.py:885] (0/2) Epoch 5, batch 2000, loss[loss=0.3056, simple_loss=0.3602, pruned_loss=0.1255, over 14070.00 frames. utt_duration=713.8 frames, utt_pad_proportion=0.05582, over 79.00 utterances.], tot_loss[loss=0.364, simple_loss=0.4068, pruned_loss=0.1606, over 2783064.27 frames. utt_duration=235 frames, utt_pad_proportion=0.07117, over 47670.94 utterances.], batch size: 79, lr: 8.43e-04
+2022-09-17 09:21:35,718 INFO [train.py:885] (0/2) Epoch 5, batch 2050, loss[loss=0.2899, simple_loss=0.3581, pruned_loss=0.1108, over 14262.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04454, over 141.00 utterances.], tot_loss[loss=0.3638, simple_loss=0.4071, pruned_loss=0.1603, over 2781014.11 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07223, over 48091.90 utterances.], batch size: 141, lr: 8.42e-04
+2022-09-17 09:22:05,687 INFO [train.py:885] (0/2) Epoch 5, batch 2100, loss[loss=0.1915, simple_loss=0.2343, pruned_loss=0.07432, over 13677.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08557, over 42.00 utterances.], tot_loss[loss=0.3607, simple_loss=0.4046, pruned_loss=0.1585, over 2781899.88 frames. utt_duration=235 frames, utt_pad_proportion=0.07312, over 47647.69 utterances.], batch size: 42, lr: 8.42e-04
+2022-09-17 09:22:43,169 INFO [train.py:885] (0/2) Epoch 5, batch 2150, loss[loss=0.2964, simple_loss=0.3339, pruned_loss=0.1295, over 13998.00 frames. utt_duration=710 frames, utt_pad_proportion=0.05587, over 79.00 utterances.], tot_loss[loss=0.3574, simple_loss=0.4019, pruned_loss=0.1565, over 2780309.76 frames. utt_duration=238 frames, utt_pad_proportion=0.07315, over 47024.10 utterances.], batch size: 79, lr: 8.42e-04
+2022-09-17 09:23:12,759 INFO [train.py:885] (0/2) Epoch 5, batch 2200, loss[loss=0.4096, simple_loss=0.4773, pruned_loss=0.171, over 13655.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07943, over 477.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.398, pruned_loss=0.1545, over 2781055.03 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07177, over 45275.65 utterances.], batch size: 477, lr: 8.41e-04
+2022-09-17 09:23:41,660 INFO [train.py:885] (0/2) Epoch 5, batch 2250, loss[loss=0.4137, simple_loss=0.4615, pruned_loss=0.183, over 14029.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05666, over 366.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.3978, pruned_loss=0.1545, over 2781959.91 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07024, over 45244.64 utterances.], batch size: 366, lr: 8.41e-04
+2022-09-17 09:24:11,506 INFO [train.py:885] (0/2) Epoch 5, batch 2300, loss[loss=0.3231, simple_loss=0.3814, pruned_loss=0.1324, over 14317.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03839, over 195.00 utterances.], tot_loss[loss=0.3598, simple_loss=0.4034, pruned_loss=0.1581, over 2782224.54 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07267, over 46940.33 utterances.], batch size: 195, lr: 8.40e-04
+2022-09-17 09:24:40,695 INFO [train.py:885] (0/2) Epoch 5, batch 2350, loss[loss=0.4276, simple_loss=0.4874, pruned_loss=0.1839, over 13593.00 frames. utt_duration=98.44 frames, utt_pad_proportion=0.07996, over 560.00 utterances.], tot_loss[loss=0.36, simple_loss=0.4045, pruned_loss=0.1577, over 2777941.27 frames. utt_duration=230.4 frames, utt_pad_proportion=0.07626, over 48531.92 utterances.], batch size: 560, lr: 8.40e-04
+2022-09-17 09:25:11,032 INFO [train.py:885] (0/2) Epoch 5, batch 2400, loss[loss=0.2408, simple_loss=0.2926, pruned_loss=0.0945, over 13303.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.09266, over 41.00 utterances.], tot_loss[loss=0.3594, simple_loss=0.4047, pruned_loss=0.1571, over 2776561.58 frames. utt_duration=228.8 frames, utt_pad_proportion=0.07527, over 48850.72 utterances.], batch size: 41, lr: 8.40e-04
+2022-09-17 09:25:40,939 INFO [train.py:885] (0/2) Epoch 5, batch 2450, loss[loss=0.2407, simple_loss=0.3116, pruned_loss=0.08489, over 14241.00 frames. utt_duration=641.6 frames, utt_pad_proportion=0.04382, over 89.00 utterances.], tot_loss[loss=0.3583, simple_loss=0.4031, pruned_loss=0.1568, over 2778943.55 frames. utt_duration=236 frames, utt_pad_proportion=0.07374, over 47393.73 utterances.], batch size: 89, lr: 8.39e-04
+2022-09-17 09:26:10,217 INFO [train.py:885] (0/2) Epoch 5, batch 2500, loss[loss=0.2161, simple_loss=0.2745, pruned_loss=0.07884, over 13310.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.09032, over 41.00 utterances.], tot_loss[loss=0.3582, simple_loss=0.403, pruned_loss=0.1567, over 2779225.67 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07353, over 47090.97 utterances.], batch size: 41, lr: 8.39e-04
+2022-09-17 09:26:39,804 INFO [train.py:885] (0/2) Epoch 5, batch 2550, loss[loss=0.4542, simple_loss=0.5079, pruned_loss=0.2003, over 13640.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.07654, over 560.00 utterances.], tot_loss[loss=0.3546, simple_loss=0.3992, pruned_loss=0.1549, over 2770253.99 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07364, over 46425.31 utterances.], batch size: 560, lr: 8.38e-04
+2022-09-17 09:27:09,417 INFO [train.py:885] (0/2) Epoch 5, batch 2600, loss[loss=0.2945, simple_loss=0.3446, pruned_loss=0.1222, over 14105.00 frames. utt_duration=519 frames, utt_pad_proportion=0.04943, over 109.00 utterances.], tot_loss[loss=0.3517, simple_loss=0.3966, pruned_loss=0.1534, over 2773595.11 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07188, over 45166.05 utterances.], batch size: 109, lr: 8.38e-04
+2022-09-17 09:27:39,505 INFO [train.py:885] (0/2) Epoch 5, batch 2650, loss[loss=0.3047, simple_loss=0.3486, pruned_loss=0.1305, over 14191.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04347, over 109.00 utterances.], tot_loss[loss=0.356, simple_loss=0.4008, pruned_loss=0.1556, over 2776357.53 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07339, over 47327.23 utterances.], batch size: 109, lr: 8.38e-04
+2022-09-17 09:28:08,789 INFO [train.py:885] (0/2) Epoch 5, batch 2700, loss[loss=0.3464, simple_loss=0.379, pruned_loss=0.1569, over 14218.00 frames. utt_duration=581.5 frames, utt_pad_proportion=0.04514, over 98.00 utterances.], tot_loss[loss=0.352, simple_loss=0.3967, pruned_loss=0.1537, over 2778709.52 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0716, over 45562.06 utterances.], batch size: 98, lr: 8.37e-04
+2022-09-17 09:28:37,925 INFO [train.py:885] (0/2) Epoch 5, batch 2750, loss[loss=0.3691, simple_loss=0.4109, pruned_loss=0.1637, over 14281.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03963, over 180.00 utterances.], tot_loss[loss=0.3525, simple_loss=0.3972, pruned_loss=0.1539, over 2778887.61 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07209, over 45527.38 utterances.], batch size: 180, lr: 8.37e-04
+2022-09-17 09:29:07,315 INFO [train.py:885] (0/2) Epoch 5, batch 2800, loss[loss=0.3741, simple_loss=0.413, pruned_loss=0.1676, over 14258.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04148, over 180.00 utterances.], tot_loss[loss=0.3551, simple_loss=0.3998, pruned_loss=0.1552, over 2783900.85 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06982, over 45523.89 utterances.], batch size: 180, lr: 8.36e-04
+2022-09-17 09:29:37,283 INFO [train.py:885] (0/2) Epoch 5, batch 2850, loss[loss=0.3657, simple_loss=0.432, pruned_loss=0.1497, over 13949.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05882, over 365.00 utterances.], tot_loss[loss=0.3549, simple_loss=0.4001, pruned_loss=0.1548, over 2781589.82 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07236, over 46360.66 utterances.], batch size: 365, lr: 8.36e-04
+2022-09-17 09:30:06,851 INFO [train.py:885] (0/2) Epoch 5, batch 2900, loss[loss=0.3122, simple_loss=0.3696, pruned_loss=0.1274, over 14334.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03772, over 120.00 utterances.], tot_loss[loss=0.3559, simple_loss=0.4007, pruned_loss=0.1556, over 2781946.49 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07288, over 46400.87 utterances.], batch size: 120, lr: 8.36e-04
+2022-09-17 09:30:36,083 INFO [train.py:885] (0/2) Epoch 5, batch 2950, loss[loss=0.2323, simple_loss=0.297, pruned_loss=0.08381, over 13950.00 frames. utt_duration=810.2 frames, utt_pad_proportion=0.05795, over 69.00 utterances.], tot_loss[loss=0.3574, simple_loss=0.4017, pruned_loss=0.1566, over 2779046.62 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07417, over 46688.64 utterances.], batch size: 69, lr: 8.35e-04
+2022-09-17 09:31:05,724 INFO [train.py:885] (0/2) Epoch 5, batch 3000, loss[loss=0.4605, simple_loss=0.4823, pruned_loss=0.2194, over 14213.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04373, over 306.00 utterances.], tot_loss[loss=0.3586, simple_loss=0.4027, pruned_loss=0.1573, over 2781850.63 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07201, over 46548.86 utterances.], batch size: 306, lr: 8.35e-04
+2022-09-17 09:31:05,725 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 09:31:10,373 INFO [train.py:914] (0/2) Epoch 5, validation: loss=0.2301, simple_loss=0.3025, pruned_loss=0.0789, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 09:31:40,279 INFO [train.py:885] (0/2) Epoch 5, batch 3050, loss[loss=0.3311, simple_loss=0.3692, pruned_loss=0.1465, over 14187.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04391, over 109.00 utterances.], tot_loss[loss=0.3633, simple_loss=0.4064, pruned_loss=0.16, over 2781418.21 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07233, over 47820.08 utterances.], batch size: 109, lr: 8.35e-04
+2022-09-17 09:32:09,319 INFO [train.py:885] (0/2) Epoch 5, batch 3100, loss[loss=0.4158, simple_loss=0.4671, pruned_loss=0.1822, over 13995.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05625, over 365.00 utterances.], tot_loss[loss=0.362, simple_loss=0.4055, pruned_loss=0.1593, over 2780778.46 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07268, over 47752.37 utterances.], batch size: 365, lr: 8.34e-04
+2022-09-17 09:32:38,804 INFO [train.py:885] (0/2) Epoch 5, batch 3150, loss[loss=0.515, simple_loss=0.5638, pruned_loss=0.2331, over 13185.00 frames. utt_duration=82.31 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.3575, simple_loss=0.4012, pruned_loss=0.1569, over 2780362.32 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07218, over 46661.94 utterances.], batch size: 653, lr: 8.34e-04
+2022-09-17 09:33:08,045 INFO [train.py:885] (0/2) Epoch 5, batch 3200, loss[loss=0.2352, simple_loss=0.2968, pruned_loss=0.08677, over 14174.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04971, over 89.00 utterances.], tot_loss[loss=0.3558, simple_loss=0.3996, pruned_loss=0.156, over 2783695.48 frames. utt_duration=242 frames, utt_pad_proportion=0.07052, over 46295.35 utterances.], batch size: 89, lr: 8.33e-04
+2022-09-17 09:33:38,010 INFO [train.py:885] (0/2) Epoch 5, batch 3250, loss[loss=0.3249, simple_loss=0.3604, pruned_loss=0.1447, over 14271.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.0454, over 110.00 utterances.], tot_loss[loss=0.3574, simple_loss=0.4014, pruned_loss=0.1567, over 2785029.83 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07043, over 47284.43 utterances.], batch size: 110, lr: 8.33e-04
+2022-09-17 09:34:07,267 INFO [train.py:885] (0/2) Epoch 5, batch 3300, loss[loss=0.2945, simple_loss=0.3652, pruned_loss=0.1119, over 14271.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04058, over 180.00 utterances.], tot_loss[loss=0.3582, simple_loss=0.4023, pruned_loss=0.1571, over 2787447.10 frames. utt_duration=238.9 frames, utt_pad_proportion=0.06956, over 46969.05 utterances.], batch size: 180, lr: 8.33e-04
+2022-09-17 09:34:37,345 INFO [train.py:885] (0/2) Epoch 5, batch 3350, loss[loss=0.3928, simple_loss=0.4268, pruned_loss=0.1794, over 14291.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04068, over 262.00 utterances.], tot_loss[loss=0.3557, simple_loss=0.4, pruned_loss=0.1557, over 2784634.26 frames. utt_duration=239.2 frames, utt_pad_proportion=0.06985, over 46846.87 utterances.], batch size: 262, lr: 8.32e-04
+2022-09-17 09:35:06,416 INFO [train.py:885] (0/2) Epoch 5, batch 3400, loss[loss=0.2059, simple_loss=0.2386, pruned_loss=0.08661, over 12102.00 frames. utt_duration=2018 frames, utt_pad_proportion=0.1772, over 24.00 utterances.], tot_loss[loss=0.3559, simple_loss=0.3999, pruned_loss=0.156, over 2784439.29 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06919, over 46050.65 utterances.], batch size: 24, lr: 8.32e-04
+2022-09-17 09:35:36,107 INFO [train.py:885] (0/2) Epoch 5, batch 3450, loss[loss=0.3129, simple_loss=0.3707, pruned_loss=0.1275, over 14340.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03695, over 120.00 utterances.], tot_loss[loss=0.3568, simple_loss=0.4003, pruned_loss=0.1567, over 2787813.49 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06837, over 45160.97 utterances.], batch size: 120, lr: 8.31e-04
+2022-09-17 09:36:06,120 INFO [train.py:885] (0/2) Epoch 5, batch 3500, loss[loss=0.361, simple_loss=0.4102, pruned_loss=0.1559, over 14287.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04197, over 154.00 utterances.], tot_loss[loss=0.3595, simple_loss=0.4034, pruned_loss=0.1578, over 2781874.93 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07203, over 47378.17 utterances.], batch size: 154, lr: 8.31e-04
+2022-09-17 09:36:34,515 INFO [train.py:885] (0/2) Epoch 5, batch 3550, loss[loss=0.2555, simple_loss=0.305, pruned_loss=0.103, over 13840.00 frames. utt_duration=924.1 frames, utt_pad_proportion=0.07216, over 60.00 utterances.], tot_loss[loss=0.3581, simple_loss=0.4015, pruned_loss=0.1574, over 2783555.22 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07146, over 46188.34 utterances.], batch size: 60, lr: 8.31e-04
+2022-09-17 09:37:04,422 INFO [train.py:885] (0/2) Epoch 5, batch 3600, loss[loss=0.3356, simple_loss=0.3787, pruned_loss=0.1462, over 14276.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04367, over 141.00 utterances.], tot_loss[loss=0.3636, simple_loss=0.4077, pruned_loss=0.1598, over 2781361.05 frames. utt_duration=227.5 frames, utt_pad_proportion=0.07486, over 49217.97 utterances.], batch size: 141, lr: 8.30e-04
+2022-09-17 09:37:34,057 INFO [train.py:885] (0/2) Epoch 5, batch 3650, loss[loss=0.2555, simple_loss=0.2955, pruned_loss=0.1077, over 13970.00 frames. utt_duration=811.3 frames, utt_pad_proportion=0.05441, over 69.00 utterances.], tot_loss[loss=0.3561, simple_loss=0.4004, pruned_loss=0.1559, over 2782015.68 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07276, over 46001.64 utterances.], batch size: 69, lr: 8.30e-04
+2022-09-17 09:38:03,453 INFO [train.py:885] (0/2) Epoch 5, batch 3700, loss[loss=0.3237, simple_loss=0.3724, pruned_loss=0.1375, over 14253.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04519, over 141.00 utterances.], tot_loss[loss=0.3523, simple_loss=0.3973, pruned_loss=0.1537, over 2782848.18 frames. utt_duration=248 frames, utt_pad_proportion=0.06989, over 45144.75 utterances.], batch size: 141, lr: 8.30e-04
+2022-09-17 09:38:33,405 INFO [train.py:885] (0/2) Epoch 5, batch 3750, loss[loss=0.4513, simple_loss=0.4735, pruned_loss=0.2145, over 14236.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04193, over 306.00 utterances.], tot_loss[loss=0.3508, simple_loss=0.396, pruned_loss=0.1528, over 2784268.08 frames. utt_duration=250.2 frames, utt_pad_proportion=0.0686, over 44770.98 utterances.], batch size: 306, lr: 8.29e-04
+2022-09-17 09:39:02,894 INFO [train.py:885] (0/2) Epoch 5, batch 3800, loss[loss=0.3645, simple_loss=0.4126, pruned_loss=0.1582, over 14351.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0374, over 244.00 utterances.], tot_loss[loss=0.3502, simple_loss=0.3951, pruned_loss=0.1526, over 2786682.53 frames. utt_duration=256.4 frames, utt_pad_proportion=0.0672, over 43718.66 utterances.], batch size: 244, lr: 8.29e-04
+2022-09-17 09:39:32,814 INFO [train.py:885] (0/2) Epoch 5, batch 3850, loss[loss=0.2799, simple_loss=0.3305, pruned_loss=0.1147, over 14029.00 frames. utt_duration=574.1 frames, utt_pad_proportion=0.0558, over 98.00 utterances.], tot_loss[loss=0.3533, simple_loss=0.3983, pruned_loss=0.1541, over 2785074.24 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06965, over 45719.87 utterances.], batch size: 98, lr: 8.28e-04
+2022-09-17 09:40:01,894 INFO [train.py:885] (0/2) Epoch 5, batch 3900, loss[loss=0.3625, simple_loss=0.4134, pruned_loss=0.1558, over 14357.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03575, over 195.00 utterances.], tot_loss[loss=0.354, simple_loss=0.3983, pruned_loss=0.1549, over 2782635.52 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07133, over 45108.36 utterances.], batch size: 195, lr: 8.28e-04
+2022-09-17 09:40:31,954 INFO [train.py:885] (0/2) Epoch 5, batch 3950, loss[loss=0.4276, simple_loss=0.4521, pruned_loss=0.2015, over 14284.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04052, over 283.00 utterances.], tot_loss[loss=0.3536, simple_loss=0.3976, pruned_loss=0.1548, over 2778878.71 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07165, over 44683.93 utterances.], batch size: 283, lr: 8.28e-04
+2022-09-17 09:41:01,033 INFO [train.py:885] (0/2) Epoch 5, batch 4000, loss[loss=0.2232, simple_loss=0.2704, pruned_loss=0.08798, over 13887.00 frames. utt_duration=927.2 frames, utt_pad_proportion=0.06811, over 60.00 utterances.], tot_loss[loss=0.3567, simple_loss=0.4004, pruned_loss=0.1565, over 2779830.72 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07322, over 45718.42 utterances.], batch size: 60, lr: 8.27e-04
+2022-09-17 09:41:30,503 INFO [train.py:885] (0/2) Epoch 5, batch 4050, loss[loss=0.4278, simple_loss=0.4717, pruned_loss=0.1919, over 14005.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05493, over 365.00 utterances.], tot_loss[loss=0.3532, simple_loss=0.3974, pruned_loss=0.1544, over 2781347.34 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07064, over 44833.02 utterances.], batch size: 365, lr: 8.27e-04
+2022-09-17 09:41:59,381 INFO [train.py:885] (0/2) Epoch 5, batch 4100, loss[loss=0.4495, simple_loss=0.5017, pruned_loss=0.1987, over 13620.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08188, over 477.00 utterances.], tot_loss[loss=0.3533, simple_loss=0.3979, pruned_loss=0.1543, over 2779484.07 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0706, over 45544.58 utterances.], batch size: 477, lr: 8.27e-04
+2022-09-17 09:42:28,616 INFO [train.py:885] (0/2) Epoch 5, batch 4150, loss[loss=0.2171, simple_loss=0.286, pruned_loss=0.07408, over 13640.00 frames. utt_duration=910.9 frames, utt_pad_proportion=0.08449, over 60.00 utterances.], tot_loss[loss=0.3515, simple_loss=0.3962, pruned_loss=0.1534, over 2782054.35 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07022, over 45200.48 utterances.], batch size: 60, lr: 8.26e-04
+2022-09-17 09:42:58,662 INFO [train.py:885] (0/2) Epoch 5, batch 4200, loss[loss=0.3961, simple_loss=0.4596, pruned_loss=0.1663, over 13791.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07063, over 411.00 utterances.], tot_loss[loss=0.3537, simple_loss=0.3984, pruned_loss=0.1545, over 2776532.83 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07359, over 45905.77 utterances.], batch size: 411, lr: 8.26e-04
+2022-09-17 09:43:28,591 INFO [train.py:885] (0/2) Epoch 5, batch 4250, loss[loss=0.1994, simple_loss=0.2444, pruned_loss=0.07724, over 13145.00 frames. utt_duration=1595 frames, utt_pad_proportion=0.118, over 33.00 utterances.], tot_loss[loss=0.355, simple_loss=0.4, pruned_loss=0.1549, over 2773579.19 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07521, over 46895.06 utterances.], batch size: 33, lr: 8.25e-04
+2022-09-17 09:43:58,060 INFO [train.py:885] (0/2) Epoch 5, batch 4300, loss[loss=0.3453, simple_loss=0.4021, pruned_loss=0.1443, over 14344.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03672, over 195.00 utterances.], tot_loss[loss=0.3512, simple_loss=0.3962, pruned_loss=0.1531, over 2772462.12 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07456, over 45380.36 utterances.], batch size: 195, lr: 8.25e-04
+2022-09-17 09:44:27,637 INFO [train.py:885] (0/2) Epoch 5, batch 4350, loss[loss=0.2705, simple_loss=0.3244, pruned_loss=0.1083, over 14040.00 frames. utt_duration=712.3 frames, utt_pad_proportion=0.0578, over 79.00 utterances.], tot_loss[loss=0.348, simple_loss=0.3931, pruned_loss=0.1514, over 2774012.57 frames. utt_duration=252 frames, utt_pad_proportion=0.07369, over 44291.48 utterances.], batch size: 79, lr: 8.25e-04
+2022-09-17 09:44:57,339 INFO [train.py:885] (0/2) Epoch 5, batch 4400, loss[loss=0.5361, simple_loss=0.5784, pruned_loss=0.2469, over 13121.00 frames. utt_duration=81.89 frames, utt_pad_proportion=0.1099, over 653.00 utterances.], tot_loss[loss=0.347, simple_loss=0.3925, pruned_loss=0.1507, over 2776995.78 frames. utt_duration=254.8 frames, utt_pad_proportion=0.07174, over 43845.97 utterances.], batch size: 653, lr: 8.24e-04
+2022-09-17 09:45:26,355 INFO [train.py:885] (0/2) Epoch 5, batch 4450, loss[loss=0.2045, simple_loss=0.2681, pruned_loss=0.07046, over 12394.00 frames. utt_duration=1985 frames, utt_pad_proportion=0.1551, over 25.00 utterances.], tot_loss[loss=0.3447, simple_loss=0.391, pruned_loss=0.1492, over 2778344.03 frames. utt_duration=256 frames, utt_pad_proportion=0.07079, over 43661.88 utterances.], batch size: 25, lr: 8.24e-04
+2022-09-17 09:45:55,555 INFO [train.py:885] (0/2) Epoch 5, batch 4500, loss[loss=0.294, simple_loss=0.3442, pruned_loss=0.122, over 14195.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04322, over 109.00 utterances.], tot_loss[loss=0.3445, simple_loss=0.3907, pruned_loss=0.1491, over 2777344.86 frames. utt_duration=257.6 frames, utt_pad_proportion=0.0696, over 43380.66 utterances.], batch size: 109, lr: 8.24e-04
+2022-09-17 09:46:25,532 INFO [train.py:885] (0/2) Epoch 5, batch 4550, loss[loss=0.4186, simple_loss=0.4396, pruned_loss=0.1988, over 14324.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04083, over 167.00 utterances.], tot_loss[loss=0.3432, simple_loss=0.3896, pruned_loss=0.1484, over 2778590.30 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06872, over 42961.12 utterances.], batch size: 167, lr: 8.23e-04
+2022-09-17 09:46:55,813 INFO [train.py:885] (0/2) Epoch 5, batch 4600, loss[loss=0.3713, simple_loss=0.41, pruned_loss=0.1663, over 14316.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03722, over 154.00 utterances.], tot_loss[loss=0.3488, simple_loss=0.3941, pruned_loss=0.1518, over 2775899.33 frames. utt_duration=248 frames, utt_pad_proportion=0.07277, over 45035.60 utterances.], batch size: 154, lr: 8.23e-04
+2022-09-17 09:47:25,351 INFO [train.py:885] (0/2) Epoch 5, batch 4650, loss[loss=0.3875, simple_loss=0.4447, pruned_loss=0.1652, over 14049.00 frames. utt_duration=155.5 frames, utt_pad_proportion=0.05207, over 365.00 utterances.], tot_loss[loss=0.3496, simple_loss=0.3953, pruned_loss=0.1519, over 2778961.24 frames. utt_duration=247.7 frames, utt_pad_proportion=0.0712, over 45151.27 utterances.], batch size: 365, lr: 8.22e-04
+2022-09-17 09:47:54,820 INFO [train.py:885] (0/2) Epoch 5, batch 4700, loss[loss=0.3155, simple_loss=0.3636, pruned_loss=0.1336, over 14295.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03821, over 130.00 utterances.], tot_loss[loss=0.3507, simple_loss=0.3958, pruned_loss=0.1527, over 2778494.20 frames. utt_duration=246.3 frames, utt_pad_proportion=0.071, over 45396.51 utterances.], batch size: 130, lr: 8.22e-04
+2022-09-17 09:48:24,061 INFO [train.py:885] (0/2) Epoch 5, batch 4750, loss[loss=0.7419, simple_loss=0.7229, pruned_loss=0.3804, over 12432.00 frames. utt_duration=62.94 frames, utt_pad_proportion=0.1495, over 810.00 utterances.], tot_loss[loss=0.3511, simple_loss=0.3966, pruned_loss=0.1528, over 2781118.66 frames. utt_duration=245.3 frames, utt_pad_proportion=0.0721, over 45633.65 utterances.], batch size: 810, lr: 8.22e-04
+2022-09-17 09:48:53,982 INFO [train.py:885] (0/2) Epoch 5, batch 4800, loss[loss=0.3902, simple_loss=0.4343, pruned_loss=0.173, over 14390.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03401, over 227.00 utterances.], tot_loss[loss=0.3615, simple_loss=0.4055, pruned_loss=0.1588, over 2782612.12 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07118, over 47910.73 utterances.], batch size: 227, lr: 8.21e-04
+2022-09-17 09:49:22,947 INFO [train.py:885] (0/2) Epoch 5, batch 4850, loss[loss=0.3797, simple_loss=0.407, pruned_loss=0.1762, over 14233.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04659, over 141.00 utterances.], tot_loss[loss=0.3634, simple_loss=0.407, pruned_loss=0.1599, over 2782453.89 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07144, over 47501.17 utterances.], batch size: 141, lr: 8.21e-04
+2022-09-17 09:49:52,549 INFO [train.py:885] (0/2) Epoch 5, batch 4900, loss[loss=0.2472, simple_loss=0.3074, pruned_loss=0.09349, over 13666.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.08008, over 50.00 utterances.], tot_loss[loss=0.3584, simple_loss=0.4033, pruned_loss=0.1567, over 2785457.12 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06867, over 46305.84 utterances.], batch size: 50, lr: 8.21e-04
+2022-09-17 09:50:21,965 INFO [train.py:885] (0/2) Epoch 5, batch 4950, loss[loss=0.649, simple_loss=0.6782, pruned_loss=0.3099, over 12536.00 frames. utt_duration=63.5 frames, utt_pad_proportion=0.1419, over 810.00 utterances.], tot_loss[loss=0.3554, simple_loss=0.4007, pruned_loss=0.1551, over 2779397.98 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07006, over 46102.12 utterances.], batch size: 810, lr: 8.20e-04
+2022-09-17 09:50:51,464 INFO [train.py:885] (0/2) Epoch 5, batch 5000, loss[loss=0.3157, simple_loss=0.3494, pruned_loss=0.141, over 14241.00 frames. utt_duration=641.5 frames, utt_pad_proportion=0.04392, over 89.00 utterances.], tot_loss[loss=0.3533, simple_loss=0.398, pruned_loss=0.1543, over 2780819.83 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06913, over 44597.78 utterances.], batch size: 89, lr: 8.20e-04
+2022-09-17 09:51:21,515 INFO [train.py:885] (0/2) Epoch 5, batch 5050, loss[loss=0.247, simple_loss=0.3067, pruned_loss=0.09366, over 13595.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.08836, over 42.00 utterances.], tot_loss[loss=0.3537, simple_loss=0.3988, pruned_loss=0.1543, over 2779822.34 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07032, over 45367.94 utterances.], batch size: 42, lr: 8.19e-04
+2022-09-17 09:51:50,679 INFO [train.py:885] (0/2) Epoch 5, batch 5100, loss[loss=0.223, simple_loss=0.259, pruned_loss=0.09349, over 13404.00 frames. utt_duration=1626 frames, utt_pad_proportion=0.09907, over 33.00 utterances.], tot_loss[loss=0.3579, simple_loss=0.4021, pruned_loss=0.1568, over 2777218.32 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07226, over 46714.73 utterances.], batch size: 33, lr: 8.19e-04
+2022-09-17 09:52:21,231 INFO [train.py:885] (0/2) Epoch 5, batch 5150, loss[loss=0.1802, simple_loss=0.2262, pruned_loss=0.06707, over 13793.00 frames. utt_duration=921.2 frames, utt_pad_proportion=0.07419, over 60.00 utterances.], tot_loss[loss=0.3598, simple_loss=0.4037, pruned_loss=0.158, over 2778436.04 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07267, over 47531.79 utterances.], batch size: 60, lr: 8.19e-04
+2022-09-17 09:52:49,907 INFO [train.py:885] (0/2) Epoch 5, batch 5200, loss[loss=0.1962, simple_loss=0.2596, pruned_loss=0.0664, over 13929.00 frames. utt_duration=930 frames, utt_pad_proportion=0.06531, over 60.00 utterances.], tot_loss[loss=0.355, simple_loss=0.3995, pruned_loss=0.1553, over 2781410.15 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07221, over 45991.48 utterances.], batch size: 60, lr: 8.18e-04
+2022-09-17 09:53:19,594 INFO [train.py:885] (0/2) Epoch 5, batch 5250, loss[loss=0.2542, simple_loss=0.3, pruned_loss=0.1042, over 13808.00 frames. utt_duration=922 frames, utt_pad_proportion=0.07248, over 60.00 utterances.], tot_loss[loss=0.3569, simple_loss=0.4004, pruned_loss=0.1567, over 2782089.68 frames. utt_duration=243.8 frames, utt_pad_proportion=0.0718, over 45920.14 utterances.], batch size: 60, lr: 8.18e-04
+2022-09-17 09:53:48,337 INFO [train.py:885] (0/2) Epoch 5, batch 5300, loss[loss=0.2564, simple_loss=0.3159, pruned_loss=0.09848, over 14154.00 frames. utt_duration=579.1 frames, utt_pad_proportion=0.05062, over 98.00 utterances.], tot_loss[loss=0.3595, simple_loss=0.4027, pruned_loss=0.1581, over 2785464.73 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07102, over 46755.35 utterances.], batch size: 98, lr: 8.18e-04
+2022-09-17 09:54:18,152 INFO [train.py:885] (0/2) Epoch 5, batch 5350, loss[loss=0.3976, simple_loss=0.4335, pruned_loss=0.1809, over 14328.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03812, over 283.00 utterances.], tot_loss[loss=0.359, simple_loss=0.4026, pruned_loss=0.1577, over 2783989.32 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07117, over 47366.46 utterances.], batch size: 283, lr: 8.17e-04
+2022-09-17 09:54:47,570 INFO [train.py:885] (0/2) Epoch 5, batch 5400, loss[loss=0.405, simple_loss=0.435, pruned_loss=0.1875, over 14308.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04017, over 262.00 utterances.], tot_loss[loss=0.3582, simple_loss=0.4018, pruned_loss=0.1573, over 2785689.52 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07036, over 46780.96 utterances.], batch size: 262, lr: 8.17e-04
+2022-09-17 09:55:16,854 INFO [train.py:885] (0/2) Epoch 5, batch 5450, loss[loss=0.3482, simple_loss=0.3915, pruned_loss=0.1524, over 14301.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04232, over 141.00 utterances.], tot_loss[loss=0.3511, simple_loss=0.3953, pruned_loss=0.1534, over 2788690.94 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06816, over 44186.47 utterances.], batch size: 141, lr: 8.17e-04
+2022-09-17 09:55:46,567 INFO [train.py:885] (0/2) Epoch 5, batch 5500, loss[loss=0.3272, simple_loss=0.3844, pruned_loss=0.135, over 14313.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03755, over 180.00 utterances.], tot_loss[loss=0.3529, simple_loss=0.397, pruned_loss=0.1544, over 2787729.24 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06892, over 44606.91 utterances.], batch size: 180, lr: 8.16e-04
+2022-09-17 09:55:58,452 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-56000.pt
+2022-09-17 09:56:16,509 INFO [train.py:885] (0/2) Epoch 5, batch 5550, loss[loss=0.2529, simple_loss=0.3175, pruned_loss=0.09417, over 13814.00 frames. utt_duration=802.6 frames, utt_pad_proportion=0.06563, over 69.00 utterances.], tot_loss[loss=0.3489, simple_loss=0.3934, pruned_loss=0.1522, over 2783684.69 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06872, over 43517.83 utterances.], batch size: 69, lr: 8.16e-04
+2022-09-17 09:56:45,991 INFO [train.py:885] (0/2) Epoch 5, batch 5600, loss[loss=0.3999, simple_loss=0.4634, pruned_loss=0.1682, over 13659.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07905, over 477.00 utterances.], tot_loss[loss=0.3477, simple_loss=0.3933, pruned_loss=0.151, over 2783498.82 frames. utt_duration=256 frames, utt_pad_proportion=0.06949, over 43737.30 utterances.], batch size: 477, lr: 8.15e-04
+2022-09-17 09:57:15,465 INFO [train.py:885] (0/2) Epoch 5, batch 5650, loss[loss=0.2953, simple_loss=0.3582, pruned_loss=0.1162, over 14350.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.03731, over 154.00 utterances.], tot_loss[loss=0.3526, simple_loss=0.3974, pruned_loss=0.1539, over 2782728.01 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06999, over 44630.70 utterances.], batch size: 154, lr: 8.15e-04
+2022-09-17 09:57:46,113 INFO [train.py:885] (0/2) Epoch 5, batch 5700, loss[loss=0.349, simple_loss=0.398, pruned_loss=0.1499, over 14255.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04239, over 225.00 utterances.], tot_loss[loss=0.3563, simple_loss=0.4017, pruned_loss=0.1554, over 2778525.30 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07306, over 47231.02 utterances.], batch size: 225, lr: 8.15e-04
+2022-09-17 09:58:15,131 INFO [train.py:885] (0/2) Epoch 5, batch 5750, loss[loss=0.3894, simple_loss=0.4314, pruned_loss=0.1737, over 14273.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.0417, over 262.00 utterances.], tot_loss[loss=0.3536, simple_loss=0.3986, pruned_loss=0.1543, over 2777932.97 frames. utt_duration=246 frames, utt_pad_proportion=0.07139, over 45444.52 utterances.], batch size: 262, lr: 8.14e-04
+2022-09-17 09:58:44,448 INFO [train.py:885] (0/2) Epoch 5, batch 5800, loss[loss=0.2967, simple_loss=0.3322, pruned_loss=0.1306, over 14319.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.042, over 110.00 utterances.], tot_loss[loss=0.3539, simple_loss=0.3984, pruned_loss=0.1547, over 2780656.02 frames. utt_duration=248 frames, utt_pad_proportion=0.06874, over 45109.77 utterances.], batch size: 110, lr: 8.14e-04
+2022-09-17 09:59:13,728 INFO [train.py:885] (0/2) Epoch 5, batch 5850, loss[loss=0.3221, simple_loss=0.3702, pruned_loss=0.137, over 14274.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04412, over 141.00 utterances.], tot_loss[loss=0.3508, simple_loss=0.3957, pruned_loss=0.153, over 2776579.30 frames. utt_duration=253.3 frames, utt_pad_proportion=0.0698, over 44104.63 utterances.], batch size: 141, lr: 8.14e-04
+2022-09-17 09:59:43,020 INFO [train.py:885] (0/2) Epoch 5, batch 5900, loss[loss=0.4775, simple_loss=0.4877, pruned_loss=0.2336, over 14233.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04309, over 335.00 utterances.], tot_loss[loss=0.352, simple_loss=0.3972, pruned_loss=0.1534, over 2773995.15 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07171, over 45360.41 utterances.], batch size: 335, lr: 8.13e-04
+2022-09-17 10:00:12,706 INFO [train.py:885] (0/2) Epoch 5, batch 5950, loss[loss=0.6324, simple_loss=0.6695, pruned_loss=0.2977, over 12430.00 frames. utt_duration=62.95 frames, utt_pad_proportion=0.1493, over 810.00 utterances.], tot_loss[loss=0.3526, simple_loss=0.3979, pruned_loss=0.1536, over 2774353.93 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07243, over 45881.32 utterances.], batch size: 810, lr: 8.13e-04
+2022-09-17 10:00:42,386 INFO [train.py:885] (0/2) Epoch 5, batch 6000, loss[loss=0.3007, simple_loss=0.3517, pruned_loss=0.1249, over 14204.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04275, over 109.00 utterances.], tot_loss[loss=0.3534, simple_loss=0.3981, pruned_loss=0.1544, over 2778213.92 frames. utt_duration=247 frames, utt_pad_proportion=0.07179, over 45259.34 utterances.], batch size: 109, lr: 8.13e-04
+2022-09-17 10:00:42,387 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 10:00:46,531 INFO [train.py:914] (0/2) Epoch 5, validation: loss=0.234, simple_loss=0.3041, pruned_loss=0.08194, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 10:01:15,764 INFO [train.py:885] (0/2) Epoch 5, batch 6050, loss[loss=0.2743, simple_loss=0.3253, pruned_loss=0.1116, over 14122.00 frames. utt_duration=636 frames, utt_pad_proportion=0.05218, over 89.00 utterances.], tot_loss[loss=0.3544, simple_loss=0.3985, pruned_loss=0.1551, over 2778495.78 frames. utt_duration=247 frames, utt_pad_proportion=0.072, over 45270.43 utterances.], batch size: 89, lr: 8.12e-04
+2022-09-17 10:01:45,309 INFO [train.py:885] (0/2) Epoch 5, batch 6100, loss[loss=0.3998, simple_loss=0.4304, pruned_loss=0.1846, over 14327.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03935, over 262.00 utterances.], tot_loss[loss=0.3554, simple_loss=0.3996, pruned_loss=0.1556, over 2777646.53 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07098, over 46396.93 utterances.], batch size: 262, lr: 8.12e-04
+2022-09-17 10:02:15,302 INFO [train.py:885] (0/2) Epoch 5, batch 6150, loss[loss=0.302, simple_loss=0.365, pruned_loss=0.1195, over 14262.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.04347, over 154.00 utterances.], tot_loss[loss=0.3586, simple_loss=0.403, pruned_loss=0.1571, over 2776782.53 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07319, over 47476.65 utterances.], batch size: 154, lr: 8.12e-04
+2022-09-17 10:02:44,982 INFO [train.py:885] (0/2) Epoch 5, batch 6200, loss[loss=0.3473, simple_loss=0.4059, pruned_loss=0.1443, over 14348.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03637, over 210.00 utterances.], tot_loss[loss=0.3592, simple_loss=0.4041, pruned_loss=0.1571, over 2778033.87 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07323, over 47864.60 utterances.], batch size: 210, lr: 8.11e-04
+2022-09-17 10:03:15,117 INFO [train.py:885] (0/2) Epoch 5, batch 6250, loss[loss=0.3939, simple_loss=0.4216, pruned_loss=0.1831, over 14245.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04627, over 141.00 utterances.], tot_loss[loss=0.3626, simple_loss=0.4069, pruned_loss=0.1592, over 2778741.11 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07283, over 48454.57 utterances.], batch size: 141, lr: 8.11e-04
+2022-09-17 10:03:44,871 INFO [train.py:885] (0/2) Epoch 5, batch 6300, loss[loss=0.4507, simple_loss=0.4767, pruned_loss=0.2124, over 14232.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04316, over 335.00 utterances.], tot_loss[loss=0.3597, simple_loss=0.4042, pruned_loss=0.1576, over 2777890.56 frames. utt_duration=234.2 frames, utt_pad_proportion=0.0718, over 47750.39 utterances.], batch size: 335, lr: 8.10e-04
+2022-09-17 10:04:14,416 INFO [train.py:885] (0/2) Epoch 5, batch 6350, loss[loss=0.2149, simple_loss=0.2649, pruned_loss=0.08242, over 13307.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.09175, over 41.00 utterances.], tot_loss[loss=0.3554, simple_loss=0.3995, pruned_loss=0.1556, over 2776339.38 frames. utt_duration=243 frames, utt_pad_proportion=0.07022, over 45977.11 utterances.], batch size: 41, lr: 8.10e-04
+2022-09-17 10:04:43,896 INFO [train.py:885] (0/2) Epoch 5, batch 6400, loss[loss=0.3358, simple_loss=0.3932, pruned_loss=0.1392, over 14319.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03815, over 195.00 utterances.], tot_loss[loss=0.3494, simple_loss=0.3945, pruned_loss=0.1522, over 2777514.79 frames. utt_duration=251.9 frames, utt_pad_proportion=0.0695, over 44372.82 utterances.], batch size: 195, lr: 8.10e-04
+2022-09-17 10:05:13,323 INFO [train.py:885] (0/2) Epoch 5, batch 6450, loss[loss=0.3436, simple_loss=0.4153, pruned_loss=0.1359, over 13978.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05743, over 365.00 utterances.], tot_loss[loss=0.3485, simple_loss=0.3938, pruned_loss=0.1516, over 2775186.03 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07073, over 44684.71 utterances.], batch size: 365, lr: 8.09e-04
+2022-09-17 10:05:42,526 INFO [train.py:885] (0/2) Epoch 5, batch 6500, loss[loss=0.3793, simple_loss=0.4193, pruned_loss=0.1697, over 14297.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04022, over 262.00 utterances.], tot_loss[loss=0.3531, simple_loss=0.3979, pruned_loss=0.1541, over 2777070.91 frames. utt_duration=240.4 frames, utt_pad_proportion=0.0719, over 46500.33 utterances.], batch size: 262, lr: 8.09e-04
+2022-09-17 10:06:12,329 INFO [train.py:885] (0/2) Epoch 5, batch 6550, loss[loss=0.3355, simple_loss=0.3827, pruned_loss=0.1441, over 14308.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04083, over 154.00 utterances.], tot_loss[loss=0.3573, simple_loss=0.4015, pruned_loss=0.1565, over 2774452.10 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07432, over 47643.66 utterances.], batch size: 154, lr: 8.09e-04
+2022-09-17 10:06:42,309 INFO [train.py:885] (0/2) Epoch 5, batch 6600, loss[loss=0.3684, simple_loss=0.4097, pruned_loss=0.1636, over 14297.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04082, over 262.00 utterances.], tot_loss[loss=0.3565, simple_loss=0.402, pruned_loss=0.1555, over 2775696.86 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07362, over 48237.10 utterances.], batch size: 262, lr: 8.08e-04
+2022-09-17 10:07:11,079 INFO [train.py:885] (0/2) Epoch 5, batch 6650, loss[loss=0.4144, simple_loss=0.449, pruned_loss=0.1899, over 14295.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.0408, over 262.00 utterances.], tot_loss[loss=0.3544, simple_loss=0.4001, pruned_loss=0.1544, over 2780005.40 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07173, over 47099.10 utterances.], batch size: 262, lr: 8.08e-04
+2022-09-17 10:07:40,596 INFO [train.py:885] (0/2) Epoch 5, batch 6700, loss[loss=0.2611, simple_loss=0.3142, pruned_loss=0.104, over 13876.00 frames. utt_duration=805.9 frames, utt_pad_proportion=0.06076, over 69.00 utterances.], tot_loss[loss=0.3577, simple_loss=0.4027, pruned_loss=0.1563, over 2782590.47 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07269, over 47535.55 utterances.], batch size: 69, lr: 8.08e-04
+2022-09-17 10:08:10,535 INFO [train.py:885] (0/2) Epoch 5, batch 6750, loss[loss=0.175, simple_loss=0.2288, pruned_loss=0.06059, over 13034.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1085, over 33.00 utterances.], tot_loss[loss=0.3516, simple_loss=0.3979, pruned_loss=0.1526, over 2778513.87 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07327, over 46692.15 utterances.], batch size: 33, lr: 8.07e-04
+2022-09-17 10:08:40,388 INFO [train.py:885] (0/2) Epoch 5, batch 6800, loss[loss=0.2513, simple_loss=0.2958, pruned_loss=0.1034, over 13798.00 frames. utt_duration=1106 frames, utt_pad_proportion=0.06866, over 50.00 utterances.], tot_loss[loss=0.3515, simple_loss=0.3973, pruned_loss=0.1529, over 2775666.71 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07455, over 45805.43 utterances.], batch size: 50, lr: 8.07e-04
+2022-09-17 10:09:09,291 INFO [train.py:885] (0/2) Epoch 5, batch 6850, loss[loss=0.1974, simple_loss=0.2565, pruned_loss=0.06914, over 13250.00 frames. utt_duration=1607 frames, utt_pad_proportion=0.09437, over 33.00 utterances.], tot_loss[loss=0.347, simple_loss=0.3933, pruned_loss=0.1503, over 2780403.18 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07241, over 44143.34 utterances.], batch size: 33, lr: 8.07e-04
+2022-09-17 10:09:39,392 INFO [train.py:885] (0/2) Epoch 5, batch 6900, loss[loss=0.4268, simple_loss=0.4427, pruned_loss=0.2055, over 14339.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03695, over 195.00 utterances.], tot_loss[loss=0.3461, simple_loss=0.3926, pruned_loss=0.1497, over 2781628.33 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07075, over 44087.79 utterances.], batch size: 195, lr: 8.06e-04
+2022-09-17 10:10:09,028 INFO [train.py:885] (0/2) Epoch 5, batch 6950, loss[loss=0.2056, simple_loss=0.2742, pruned_loss=0.06849, over 13687.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08492, over 42.00 utterances.], tot_loss[loss=0.3483, simple_loss=0.3946, pruned_loss=0.151, over 2784474.59 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06982, over 44395.26 utterances.], batch size: 42, lr: 8.06e-04
+2022-09-17 10:10:38,035 INFO [train.py:885] (0/2) Epoch 5, batch 7000, loss[loss=0.4783, simple_loss=0.5406, pruned_loss=0.208, over 13128.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.3488, simple_loss=0.3945, pruned_loss=0.1515, over 2777917.59 frames. utt_duration=254 frames, utt_pad_proportion=0.07121, over 43998.74 utterances.], batch size: 653, lr: 8.06e-04
+2022-09-17 10:11:07,723 INFO [train.py:885] (0/2) Epoch 5, batch 7050, loss[loss=0.3505, simple_loss=0.4038, pruned_loss=0.1487, over 14330.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03484, over 244.00 utterances.], tot_loss[loss=0.3489, simple_loss=0.3939, pruned_loss=0.152, over 2774200.55 frames. utt_duration=253.6 frames, utt_pad_proportion=0.0728, over 44010.04 utterances.], batch size: 244, lr: 8.05e-04
+2022-09-17 10:11:36,703 INFO [train.py:885] (0/2) Epoch 5, batch 7100, loss[loss=0.3571, simple_loss=0.4182, pruned_loss=0.148, over 14365.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.033, over 244.00 utterances.], tot_loss[loss=0.3476, simple_loss=0.3933, pruned_loss=0.1509, over 2782163.24 frames. utt_duration=256.1 frames, utt_pad_proportion=0.0698, over 43712.38 utterances.], batch size: 244, lr: 8.05e-04
+2022-09-17 10:12:07,312 INFO [train.py:885] (0/2) Epoch 5, batch 7150, loss[loss=0.3481, simple_loss=0.3981, pruned_loss=0.1491, over 14330.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03853, over 262.00 utterances.], tot_loss[loss=0.3468, simple_loss=0.3923, pruned_loss=0.1506, over 2776816.52 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06938, over 44020.63 utterances.], batch size: 262, lr: 8.05e-04
+2022-09-17 10:12:35,899 INFO [train.py:885] (0/2) Epoch 5, batch 7200, loss[loss=0.3254, simple_loss=0.3804, pruned_loss=0.1352, over 14244.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.04229, over 154.00 utterances.], tot_loss[loss=0.3412, simple_loss=0.3865, pruned_loss=0.1479, over 2774695.66 frames. utt_duration=265.3 frames, utt_pad_proportion=0.06853, over 42065.67 utterances.], batch size: 154, lr: 8.04e-04
+2022-09-17 10:13:05,602 INFO [train.py:885] (0/2) Epoch 5, batch 7250, loss[loss=0.3177, simple_loss=0.3639, pruned_loss=0.1358, over 14324.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.04058, over 141.00 utterances.], tot_loss[loss=0.3404, simple_loss=0.3865, pruned_loss=0.1471, over 2768555.80 frames. utt_duration=257.7 frames, utt_pad_proportion=0.07141, over 43224.62 utterances.], batch size: 141, lr: 8.04e-04
+2022-09-17 10:13:35,719 INFO [train.py:885] (0/2) Epoch 5, batch 7300, loss[loss=0.4318, simple_loss=0.457, pruned_loss=0.2033, over 14249.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04247, over 335.00 utterances.], tot_loss[loss=0.3379, simple_loss=0.3845, pruned_loss=0.1456, over 2773625.56 frames. utt_duration=262.1 frames, utt_pad_proportion=0.07031, over 42563.33 utterances.], batch size: 335, lr: 8.03e-04
+2022-09-17 10:14:04,653 INFO [train.py:885] (0/2) Epoch 5, batch 7350, loss[loss=0.3377, simple_loss=0.4061, pruned_loss=0.1347, over 14009.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05573, over 365.00 utterances.], tot_loss[loss=0.3403, simple_loss=0.3867, pruned_loss=0.1469, over 2777443.87 frames. utt_duration=259.2 frames, utt_pad_proportion=0.06873, over 43101.32 utterances.], batch size: 365, lr: 8.03e-04
+2022-09-17 10:14:34,752 INFO [train.py:885] (0/2) Epoch 5, batch 7400, loss[loss=0.4087, simple_loss=0.4765, pruned_loss=0.1704, over 13646.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07991, over 477.00 utterances.], tot_loss[loss=0.345, simple_loss=0.3915, pruned_loss=0.1492, over 2775170.13 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07004, over 44593.27 utterances.], batch size: 477, lr: 8.03e-04
+2022-09-17 10:15:04,631 INFO [train.py:885] (0/2) Epoch 5, batch 7450, loss[loss=0.2232, simple_loss=0.27, pruned_loss=0.08813, over 13202.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1081, over 33.00 utterances.], tot_loss[loss=0.3461, simple_loss=0.3932, pruned_loss=0.1495, over 2775693.52 frames. utt_duration=244 frames, utt_pad_proportion=0.07153, over 45773.02 utterances.], batch size: 33, lr: 8.02e-04
+2022-09-17 10:15:34,218 INFO [train.py:885] (0/2) Epoch 5, batch 7500, loss[loss=0.2502, simple_loss=0.3021, pruned_loss=0.09918, over 13422.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08273, over 41.00 utterances.], tot_loss[loss=0.3455, simple_loss=0.3926, pruned_loss=0.1492, over 2779095.93 frames. utt_duration=247 frames, utt_pad_proportion=0.07118, over 45284.96 utterances.], batch size: 41, lr: 8.02e-04
+2022-09-17 10:16:04,303 INFO [train.py:885] (0/2) Epoch 5, batch 7550, loss[loss=0.3455, simple_loss=0.3939, pruned_loss=0.1486, over 14321.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03983, over 154.00 utterances.], tot_loss[loss=0.3443, simple_loss=0.3918, pruned_loss=0.1484, over 2778143.13 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07129, over 44703.49 utterances.], batch size: 154, lr: 8.02e-04
+2022-09-17 10:16:41,590 INFO [train.py:885] (0/2) Epoch 5, batch 7600, loss[loss=0.2466, simple_loss=0.2748, pruned_loss=0.1092, over 13095.00 frames. utt_duration=2016 frames, utt_pad_proportion=0.1166, over 26.00 utterances.], tot_loss[loss=0.344, simple_loss=0.3912, pruned_loss=0.1484, over 2776022.58 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07132, over 44241.57 utterances.], batch size: 26, lr: 8.01e-04
+2022-09-17 10:17:11,571 INFO [train.py:885] (0/2) Epoch 5, batch 7650, loss[loss=0.482, simple_loss=0.5412, pruned_loss=0.2114, over 13138.00 frames. utt_duration=82.06 frames, utt_pad_proportion=0.1081, over 653.00 utterances.], tot_loss[loss=0.344, simple_loss=0.3905, pruned_loss=0.1487, over 2778174.92 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07032, over 43943.25 utterances.], batch size: 653, lr: 8.01e-04
+2022-09-17 10:17:40,900 INFO [train.py:885] (0/2) Epoch 5, batch 7700, loss[loss=0.3949, simple_loss=0.4278, pruned_loss=0.181, over 14316.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03937, over 262.00 utterances.], tot_loss[loss=0.3463, simple_loss=0.3923, pruned_loss=0.1501, over 2775262.00 frames. utt_duration=250 frames, utt_pad_proportion=0.07194, over 44666.34 utterances.], batch size: 262, lr: 8.01e-04
+2022-09-17 10:18:10,665 INFO [train.py:885] (0/2) Epoch 5, batch 7750, loss[loss=0.4106, simple_loss=0.4404, pruned_loss=0.1904, over 14313.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04027, over 262.00 utterances.], tot_loss[loss=0.3518, simple_loss=0.397, pruned_loss=0.1533, over 2776959.94 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07319, over 46059.89 utterances.], batch size: 262, lr: 8.00e-04
+2022-09-17 10:18:39,954 INFO [train.py:885] (0/2) Epoch 5, batch 7800, loss[loss=0.2339, simple_loss=0.2704, pruned_loss=0.09872, over 13496.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.0915, over 50.00 utterances.], tot_loss[loss=0.3561, simple_loss=0.4011, pruned_loss=0.1556, over 2780516.51 frames. utt_duration=236 frames, utt_pad_proportion=0.0725, over 47416.49 utterances.], batch size: 50, lr: 8.00e-04
+2022-09-17 10:19:09,576 INFO [train.py:885] (0/2) Epoch 5, batch 7850, loss[loss=0.3842, simple_loss=0.4221, pruned_loss=0.1732, over 14418.00 frames. utt_duration=275.9 frames, utt_pad_proportion=0.032, over 210.00 utterances.], tot_loss[loss=0.351, simple_loss=0.3966, pruned_loss=0.1527, over 2781961.05 frames. utt_duration=243.4 frames, utt_pad_proportion=0.0719, over 45996.35 utterances.], batch size: 210, lr: 8.00e-04
+2022-09-17 10:19:38,833 INFO [train.py:885] (0/2) Epoch 5, batch 7900, loss[loss=0.4834, simple_loss=0.5441, pruned_loss=0.2114, over 13239.00 frames. utt_duration=82.62 frames, utt_pad_proportion=0.102, over 653.00 utterances.], tot_loss[loss=0.3507, simple_loss=0.3968, pruned_loss=0.1523, over 2782793.95 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07121, over 46056.28 utterances.], batch size: 653, lr: 7.99e-04
+2022-09-17 10:20:08,657 INFO [train.py:885] (0/2) Epoch 5, batch 7950, loss[loss=0.5135, simple_loss=0.5575, pruned_loss=0.2348, over 13222.00 frames. utt_duration=82.47 frames, utt_pad_proportion=0.1036, over 653.00 utterances.], tot_loss[loss=0.3568, simple_loss=0.4024, pruned_loss=0.1556, over 2779230.30 frames. utt_duration=228 frames, utt_pad_proportion=0.0737, over 49069.75 utterances.], batch size: 653, lr: 7.99e-04
+2022-09-17 10:20:37,570 INFO [train.py:885] (0/2) Epoch 5, batch 8000, loss[loss=0.3583, simple_loss=0.4043, pruned_loss=0.1562, over 14316.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03834, over 195.00 utterances.], tot_loss[loss=0.354, simple_loss=0.4001, pruned_loss=0.1539, over 2779363.92 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07316, over 48360.34 utterances.], batch size: 195, lr: 7.99e-04
+2022-09-17 10:21:07,158 INFO [train.py:885] (0/2) Epoch 5, batch 8050, loss[loss=0.3169, simple_loss=0.378, pruned_loss=0.1279, over 14308.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04026, over 154.00 utterances.], tot_loss[loss=0.3531, simple_loss=0.3991, pruned_loss=0.1536, over 2780520.34 frames. utt_duration=236.4 frames, utt_pad_proportion=0.0724, over 47336.65 utterances.], batch size: 154, lr: 7.98e-04
+2022-09-17 10:21:36,913 INFO [train.py:885] (0/2) Epoch 5, batch 8100, loss[loss=0.2792, simple_loss=0.3187, pruned_loss=0.1198, over 13993.00 frames. utt_duration=710 frames, utt_pad_proportion=0.06083, over 79.00 utterances.], tot_loss[loss=0.3497, simple_loss=0.3964, pruned_loss=0.1515, over 2776182.68 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07478, over 47413.96 utterances.], batch size: 79, lr: 7.98e-04
+2022-09-17 10:22:06,046 INFO [train.py:885] (0/2) Epoch 5, batch 8150, loss[loss=0.3333, simple_loss=0.395, pruned_loss=0.1358, over 14291.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03914, over 180.00 utterances.], tot_loss[loss=0.3502, simple_loss=0.3972, pruned_loss=0.1516, over 2772523.09 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07636, over 47970.56 utterances.], batch size: 180, lr: 7.98e-04
+2022-09-17 10:22:35,786 INFO [train.py:885] (0/2) Epoch 5, batch 8200, loss[loss=0.3983, simple_loss=0.4595, pruned_loss=0.1686, over 13726.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07458, over 411.00 utterances.], tot_loss[loss=0.35, simple_loss=0.3969, pruned_loss=0.1516, over 2774073.16 frames. utt_duration=234.1 frames, utt_pad_proportion=0.0743, over 47693.14 utterances.], batch size: 411, lr: 7.97e-04
+2022-09-17 10:23:05,470 INFO [train.py:885] (0/2) Epoch 5, batch 8250, loss[loss=0.4699, simple_loss=0.5145, pruned_loss=0.2126, over 13616.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08154, over 477.00 utterances.], tot_loss[loss=0.3522, simple_loss=0.3985, pruned_loss=0.153, over 2773144.59 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07487, over 47771.08 utterances.], batch size: 477, lr: 7.97e-04
+2022-09-17 10:23:34,641 INFO [train.py:885] (0/2) Epoch 5, batch 8300, loss[loss=0.3823, simple_loss=0.4255, pruned_loss=0.1696, over 14301.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03967, over 283.00 utterances.], tot_loss[loss=0.3537, simple_loss=0.3987, pruned_loss=0.1543, over 2776120.58 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07368, over 46626.68 utterances.], batch size: 283, lr: 7.97e-04
+2022-09-17 10:24:04,672 INFO [train.py:885] (0/2) Epoch 5, batch 8350, loss[loss=0.2937, simple_loss=0.3151, pruned_loss=0.1362, over 13825.00 frames. utt_duration=923.2 frames, utt_pad_proportion=0.06653, over 60.00 utterances.], tot_loss[loss=0.3533, simple_loss=0.3987, pruned_loss=0.154, over 2778048.59 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07186, over 46503.93 utterances.], batch size: 60, lr: 7.96e-04
+2022-09-17 10:24:33,582 INFO [train.py:885] (0/2) Epoch 5, batch 8400, loss[loss=0.3094, simple_loss=0.3498, pruned_loss=0.1346, over 14210.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04224, over 109.00 utterances.], tot_loss[loss=0.3552, simple_loss=0.4, pruned_loss=0.1552, over 2780954.02 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07197, over 46541.06 utterances.], batch size: 109, lr: 7.96e-04
+2022-09-17 10:25:03,795 INFO [train.py:885] (0/2) Epoch 5, batch 8450, loss[loss=0.4068, simple_loss=0.4743, pruned_loss=0.1696, over 13598.00 frames. utt_duration=98.54 frames, utt_pad_proportion=0.07907, over 560.00 utterances.], tot_loss[loss=0.3549, simple_loss=0.4, pruned_loss=0.155, over 2778084.16 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07315, over 46906.12 utterances.], batch size: 560, lr: 7.96e-04
+2022-09-17 10:25:33,025 INFO [train.py:885] (0/2) Epoch 5, batch 8500, loss[loss=0.3629, simple_loss=0.4129, pruned_loss=0.1564, over 14309.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03967, over 262.00 utterances.], tot_loss[loss=0.3508, simple_loss=0.3966, pruned_loss=0.1525, over 2778646.21 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07221, over 45783.52 utterances.], batch size: 262, lr: 7.95e-04
+2022-09-17 10:26:03,440 INFO [train.py:885] (0/2) Epoch 5, batch 8550, loss[loss=0.3918, simple_loss=0.4474, pruned_loss=0.1681, over 13772.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07139, over 411.00 utterances.], tot_loss[loss=0.3496, simple_loss=0.3969, pruned_loss=0.1511, over 2778265.61 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07201, over 46917.52 utterances.], batch size: 411, lr: 7.95e-04
+2022-09-17 10:26:32,526 INFO [train.py:885] (0/2) Epoch 5, batch 8600, loss[loss=0.259, simple_loss=0.3108, pruned_loss=0.1036, over 13758.00 frames. utt_duration=918.7 frames, utt_pad_proportion=0.07577, over 60.00 utterances.], tot_loss[loss=0.349, simple_loss=0.3968, pruned_loss=0.1506, over 2780091.49 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07056, over 47157.99 utterances.], batch size: 60, lr: 7.95e-04
+2022-09-17 10:27:02,293 INFO [train.py:885] (0/2) Epoch 5, batch 8650, loss[loss=0.147, simple_loss=0.205, pruned_loss=0.04452, over 12425.00 frames. utt_duration=1989 frames, utt_pad_proportion=0.1614, over 25.00 utterances.], tot_loss[loss=0.3438, simple_loss=0.3919, pruned_loss=0.1479, over 2779764.71 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07097, over 45621.76 utterances.], batch size: 25, lr: 7.94e-04
+2022-09-17 10:27:31,198 INFO [train.py:885] (0/2) Epoch 5, batch 8700, loss[loss=0.3635, simple_loss=0.4137, pruned_loss=0.1567, over 14353.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03401, over 244.00 utterances.], tot_loss[loss=0.3476, simple_loss=0.3947, pruned_loss=0.1502, over 2783271.19 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07114, over 45603.85 utterances.], batch size: 244, lr: 7.94e-04
+2022-09-17 10:27:59,898 INFO [train.py:885] (0/2) Epoch 5, batch 8750, loss[loss=0.5305, simple_loss=0.508, pruned_loss=0.2764, over 14236.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04281, over 225.00 utterances.], tot_loss[loss=0.348, simple_loss=0.3945, pruned_loss=0.1508, over 2782959.15 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07023, over 44588.92 utterances.], batch size: 225, lr: 7.94e-04
+2022-09-17 10:28:29,482 INFO [train.py:885] (0/2) Epoch 5, batch 8800, loss[loss=0.4134, simple_loss=0.4465, pruned_loss=0.1902, over 14350.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03361, over 244.00 utterances.], tot_loss[loss=0.3458, simple_loss=0.393, pruned_loss=0.1493, over 2784874.24 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07001, over 44134.68 utterances.], batch size: 244, lr: 7.93e-04
+2022-09-17 10:28:58,934 INFO [train.py:885] (0/2) Epoch 5, batch 8850, loss[loss=0.4385, simple_loss=0.4676, pruned_loss=0.2047, over 14251.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04203, over 306.00 utterances.], tot_loss[loss=0.3441, simple_loss=0.3915, pruned_loss=0.1484, over 2782954.82 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06975, over 44280.92 utterances.], batch size: 306, lr: 7.93e-04
+2022-09-17 10:29:28,857 INFO [train.py:885] (0/2) Epoch 5, batch 8900, loss[loss=0.5487, simple_loss=0.5272, pruned_loss=0.2851, over 14226.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04416, over 335.00 utterances.], tot_loss[loss=0.3441, simple_loss=0.3905, pruned_loss=0.1488, over 2782654.76 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06816, over 43428.83 utterances.], batch size: 335, lr: 7.93e-04
+2022-09-17 10:29:58,655 INFO [train.py:885] (0/2) Epoch 5, batch 8950, loss[loss=0.36, simple_loss=0.4117, pruned_loss=0.1542, over 14317.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03805, over 226.00 utterances.], tot_loss[loss=0.3459, simple_loss=0.3923, pruned_loss=0.1498, over 2780576.04 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07106, over 44878.85 utterances.], batch size: 226, lr: 7.92e-04
+2022-09-17 10:30:28,610 INFO [train.py:885] (0/2) Epoch 5, batch 9000, loss[loss=0.3017, simple_loss=0.3522, pruned_loss=0.1255, over 12404.00 frames. utt_duration=1986 frames, utt_pad_proportion=0.1618, over 25.00 utterances.], tot_loss[loss=0.3478, simple_loss=0.3946, pruned_loss=0.1505, over 2777860.86 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07241, over 45560.29 utterances.], batch size: 25, lr: 7.92e-04
+2022-09-17 10:30:28,612 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 10:30:32,884 INFO [train.py:914] (0/2) Epoch 5, validation: loss=0.2282, simple_loss=0.2991, pruned_loss=0.0787, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 10:31:03,116 INFO [train.py:885] (0/2) Epoch 5, batch 9050, loss[loss=0.293, simple_loss=0.3551, pruned_loss=0.1155, over 14355.00 frames. utt_duration=479.7 frames, utt_pad_proportion=0.03666, over 120.00 utterances.], tot_loss[loss=0.3483, simple_loss=0.3955, pruned_loss=0.1506, over 2775430.95 frames. utt_duration=242 frames, utt_pad_proportion=0.0745, over 46166.75 utterances.], batch size: 120, lr: 7.92e-04
+2022-09-17 10:31:32,176 INFO [train.py:885] (0/2) Epoch 5, batch 9100, loss[loss=0.3834, simple_loss=0.4614, pruned_loss=0.1527, over 13618.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07779, over 560.00 utterances.], tot_loss[loss=0.3456, simple_loss=0.3924, pruned_loss=0.1494, over 2779290.51 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07254, over 44522.09 utterances.], batch size: 560, lr: 7.91e-04
+2022-09-17 10:32:01,996 INFO [train.py:885] (0/2) Epoch 5, batch 9150, loss[loss=0.3957, simple_loss=0.432, pruned_loss=0.1797, over 14298.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04058, over 262.00 utterances.], tot_loss[loss=0.3487, simple_loss=0.3959, pruned_loss=0.1508, over 2780802.38 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07341, over 46003.64 utterances.], batch size: 262, lr: 7.91e-04
+2022-09-17 10:32:31,064 INFO [train.py:885] (0/2) Epoch 5, batch 9200, loss[loss=0.3731, simple_loss=0.4357, pruned_loss=0.1553, over 13972.00 frames. utt_duration=154.1 frames, utt_pad_proportion=0.06036, over 366.00 utterances.], tot_loss[loss=0.3502, simple_loss=0.3967, pruned_loss=0.1518, over 2781571.75 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07265, over 46036.44 utterances.], batch size: 366, lr: 7.91e-04
+2022-09-17 10:33:00,882 INFO [train.py:885] (0/2) Epoch 5, batch 9250, loss[loss=0.386, simple_loss=0.4267, pruned_loss=0.1726, over 14295.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03892, over 180.00 utterances.], tot_loss[loss=0.3519, simple_loss=0.3977, pruned_loss=0.1531, over 2782854.43 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07238, over 46021.96 utterances.], batch size: 180, lr: 7.90e-04
+2022-09-17 10:33:30,138 INFO [train.py:885] (0/2) Epoch 5, batch 9300, loss[loss=0.4144, simple_loss=0.4391, pruned_loss=0.1949, over 14361.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03727, over 244.00 utterances.], tot_loss[loss=0.353, simple_loss=0.399, pruned_loss=0.1535, over 2779623.33 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07322, over 47019.31 utterances.], batch size: 244, lr: 7.90e-04
+2022-09-17 10:34:00,234 INFO [train.py:885] (0/2) Epoch 5, batch 9350, loss[loss=0.3724, simple_loss=0.3865, pruned_loss=0.1792, over 14183.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04389, over 109.00 utterances.], tot_loss[loss=0.3531, simple_loss=0.3987, pruned_loss=0.1538, over 2782167.98 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07348, over 46561.52 utterances.], batch size: 109, lr: 7.90e-04
+2022-09-17 10:34:29,394 INFO [train.py:885] (0/2) Epoch 5, batch 9400, loss[loss=0.3363, simple_loss=0.3838, pruned_loss=0.1444, over 14330.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.0373, over 195.00 utterances.], tot_loss[loss=0.3506, simple_loss=0.3962, pruned_loss=0.1525, over 2783425.46 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07218, over 45821.24 utterances.], batch size: 195, lr: 7.89e-04
+2022-09-17 10:34:59,323 INFO [train.py:885] (0/2) Epoch 5, batch 9450, loss[loss=0.3698, simple_loss=0.4319, pruned_loss=0.1538, over 13998.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05581, over 365.00 utterances.], tot_loss[loss=0.35, simple_loss=0.3965, pruned_loss=0.1518, over 2782950.38 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07137, over 46364.74 utterances.], batch size: 365, lr: 7.89e-04
+2022-09-17 10:35:28,667 INFO [train.py:885] (0/2) Epoch 5, batch 9500, loss[loss=0.4817, simple_loss=0.5458, pruned_loss=0.2088, over 13210.00 frames. utt_duration=82.42 frames, utt_pad_proportion=0.1041, over 653.00 utterances.], tot_loss[loss=0.3525, simple_loss=0.3989, pruned_loss=0.1531, over 2780231.67 frames. utt_duration=235.4 frames, utt_pad_proportion=0.0729, over 47536.66 utterances.], batch size: 653, lr: 7.89e-04
+2022-09-17 10:35:40,405 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-60000.pt
+2022-09-17 10:35:58,885 INFO [train.py:885] (0/2) Epoch 5, batch 9550, loss[loss=0.2249, simple_loss=0.2845, pruned_loss=0.08269, over 13401.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08409, over 41.00 utterances.], tot_loss[loss=0.3509, simple_loss=0.3971, pruned_loss=0.1524, over 2783047.35 frames. utt_duration=243 frames, utt_pad_proportion=0.06998, over 46086.65 utterances.], batch size: 41, lr: 7.88e-04
+2022-09-17 10:36:28,125 INFO [train.py:885] (0/2) Epoch 5, batch 9600, loss[loss=0.3188, simple_loss=0.3664, pruned_loss=0.1355, over 14158.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04562, over 109.00 utterances.], tot_loss[loss=0.3497, simple_loss=0.3954, pruned_loss=0.1521, over 2780864.31 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07023, over 45374.33 utterances.], batch size: 109, lr: 7.88e-04
+2022-09-17 10:36:58,064 INFO [train.py:885] (0/2) Epoch 5, batch 9650, loss[loss=0.2795, simple_loss=0.3262, pruned_loss=0.1164, over 14185.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04754, over 89.00 utterances.], tot_loss[loss=0.3523, simple_loss=0.3976, pruned_loss=0.1535, over 2780317.08 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07138, over 46491.49 utterances.], batch size: 89, lr: 7.88e-04
+2022-09-17 10:37:27,262 INFO [train.py:885] (0/2) Epoch 5, batch 9700, loss[loss=0.4084, simple_loss=0.4642, pruned_loss=0.1763, over 13777.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07168, over 411.00 utterances.], tot_loss[loss=0.3476, simple_loss=0.3942, pruned_loss=0.1506, over 2779887.44 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07093, over 45649.15 utterances.], batch size: 411, lr: 7.87e-04
+2022-09-17 10:37:57,247 INFO [train.py:885] (0/2) Epoch 5, batch 9750, loss[loss=0.2521, simple_loss=0.3138, pruned_loss=0.09516, over 13524.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08252, over 50.00 utterances.], tot_loss[loss=0.3484, simple_loss=0.3947, pruned_loss=0.151, over 2779515.89 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07144, over 46043.49 utterances.], batch size: 50, lr: 7.87e-04
+2022-09-17 10:38:26,696 INFO [train.py:885] (0/2) Epoch 5, batch 9800, loss[loss=0.266, simple_loss=0.3257, pruned_loss=0.1031, over 14154.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04592, over 109.00 utterances.], tot_loss[loss=0.3481, simple_loss=0.3942, pruned_loss=0.151, over 2785204.14 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06958, over 44732.66 utterances.], batch size: 109, lr: 7.87e-04
+2022-09-17 10:38:55,908 INFO [train.py:885] (0/2) Epoch 5, batch 9850, loss[loss=0.3249, simple_loss=0.3704, pruned_loss=0.1397, over 14289.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.03872, over 120.00 utterances.], tot_loss[loss=0.3462, simple_loss=0.3928, pruned_loss=0.1498, over 2779872.24 frames. utt_duration=250 frames, utt_pad_proportion=0.07187, over 44743.09 utterances.], batch size: 120, lr: 7.86e-04
+2022-09-17 10:39:25,888 INFO [train.py:885] (0/2) Epoch 5, batch 9900, loss[loss=0.2976, simple_loss=0.3476, pruned_loss=0.1238, over 14288.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03908, over 130.00 utterances.], tot_loss[loss=0.3474, simple_loss=0.3938, pruned_loss=0.1505, over 2783388.90 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07073, over 44753.01 utterances.], batch size: 130, lr: 7.86e-04
+2022-09-17 10:39:55,766 INFO [train.py:885] (0/2) Epoch 5, batch 9950, loss[loss=0.3514, simple_loss=0.4052, pruned_loss=0.1488, over 14299.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03852, over 180.00 utterances.], tot_loss[loss=0.3517, simple_loss=0.3981, pruned_loss=0.1527, over 2783421.71 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07054, over 46755.75 utterances.], batch size: 180, lr: 7.86e-04
+2022-09-17 10:40:25,398 INFO [train.py:885] (0/2) Epoch 5, batch 10000, loss[loss=0.2996, simple_loss=0.3504, pruned_loss=0.1244, over 14294.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03906, over 130.00 utterances.], tot_loss[loss=0.3484, simple_loss=0.3956, pruned_loss=0.1506, over 2787769.57 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06846, over 45429.40 utterances.], batch size: 130, lr: 7.85e-04
+2022-09-17 10:40:54,546 INFO [train.py:885] (0/2) Epoch 5, batch 10050, loss[loss=0.5578, simple_loss=0.5975, pruned_loss=0.2591, over 13156.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.1071, over 653.00 utterances.], tot_loss[loss=0.3461, simple_loss=0.3941, pruned_loss=0.1491, over 2787448.32 frames. utt_duration=247.1 frames, utt_pad_proportion=0.0689, over 45401.45 utterances.], batch size: 653, lr: 7.85e-04
+2022-09-17 10:41:24,615 INFO [train.py:885] (0/2) Epoch 5, batch 10100, loss[loss=0.1862, simple_loss=0.2453, pruned_loss=0.06351, over 13518.00 frames. utt_duration=1289 frames, utt_pad_proportion=0.09734, over 42.00 utterances.], tot_loss[loss=0.343, simple_loss=0.3916, pruned_loss=0.1472, over 2781661.03 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07012, over 45362.92 utterances.], batch size: 42, lr: 7.85e-04
+2022-09-17 10:41:53,542 INFO [train.py:885] (0/2) Epoch 5, batch 10150, loss[loss=0.6811, simple_loss=0.6964, pruned_loss=0.3329, over 12492.00 frames. utt_duration=63.28 frames, utt_pad_proportion=0.1449, over 810.00 utterances.], tot_loss[loss=0.3406, simple_loss=0.389, pruned_loss=0.1462, over 2778192.38 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06997, over 44087.45 utterances.], batch size: 810, lr: 7.85e-04
+2022-09-17 10:42:23,465 INFO [train.py:885] (0/2) Epoch 5, batch 10200, loss[loss=0.5087, simple_loss=0.5555, pruned_loss=0.2309, over 13205.00 frames. utt_duration=82.41 frames, utt_pad_proportion=0.1042, over 653.00 utterances.], tot_loss[loss=0.3441, simple_loss=0.3921, pruned_loss=0.1481, over 2772232.23 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07478, over 45764.93 utterances.], batch size: 653, lr: 7.84e-04
+2022-09-17 10:42:52,732 INFO [train.py:885] (0/2) Epoch 5, batch 10250, loss[loss=0.3332, simple_loss=0.394, pruned_loss=0.1362, over 14353.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03595, over 195.00 utterances.], tot_loss[loss=0.3439, simple_loss=0.3911, pruned_loss=0.1484, over 2776191.81 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07273, over 44078.82 utterances.], batch size: 195, lr: 7.84e-04
+2022-09-17 10:43:22,029 INFO [train.py:885] (0/2) Epoch 5, batch 10300, loss[loss=0.366, simple_loss=0.4025, pruned_loss=0.1647, over 14318.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.03762, over 154.00 utterances.], tot_loss[loss=0.346, simple_loss=0.3933, pruned_loss=0.1494, over 2779922.60 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07125, over 44848.86 utterances.], batch size: 154, lr: 7.84e-04
+2022-09-17 10:43:52,242 INFO [train.py:885] (0/2) Epoch 5, batch 10350, loss[loss=0.4173, simple_loss=0.4635, pruned_loss=0.1855, over 14049.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05559, over 366.00 utterances.], tot_loss[loss=0.3475, simple_loss=0.3947, pruned_loss=0.1501, over 2781690.75 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07146, over 45112.60 utterances.], batch size: 366, lr: 7.83e-04
+2022-09-17 10:44:21,963 INFO [train.py:885] (0/2) Epoch 5, batch 10400, loss[loss=0.4967, simple_loss=0.4996, pruned_loss=0.247, over 14241.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04284, over 335.00 utterances.], tot_loss[loss=0.3478, simple_loss=0.395, pruned_loss=0.1503, over 2786528.65 frames. utt_duration=248.7 frames, utt_pad_proportion=0.0691, over 45091.57 utterances.], batch size: 335, lr: 7.83e-04
+2022-09-17 10:44:51,109 INFO [train.py:885] (0/2) Epoch 5, batch 10450, loss[loss=0.3831, simple_loss=0.4283, pruned_loss=0.1689, over 14302.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03924, over 195.00 utterances.], tot_loss[loss=0.3442, simple_loss=0.3915, pruned_loss=0.1484, over 2786070.64 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06679, over 44102.64 utterances.], batch size: 195, lr: 7.83e-04
+2022-09-17 10:45:20,360 INFO [train.py:885] (0/2) Epoch 5, batch 10500, loss[loss=0.2893, simple_loss=0.3251, pruned_loss=0.1267, over 13844.00 frames. utt_duration=804.1 frames, utt_pad_proportion=0.06396, over 69.00 utterances.], tot_loss[loss=0.3429, simple_loss=0.3911, pruned_loss=0.1474, over 2779572.76 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07046, over 45338.73 utterances.], batch size: 69, lr: 7.82e-04
+2022-09-17 10:45:50,264 INFO [train.py:885] (0/2) Epoch 5, batch 10550, loss[loss=0.2969, simple_loss=0.342, pruned_loss=0.1259, over 14132.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05055, over 98.00 utterances.], tot_loss[loss=0.3404, simple_loss=0.3884, pruned_loss=0.1462, over 2780206.52 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06835, over 44479.38 utterances.], batch size: 98, lr: 7.82e-04
+2022-09-17 10:46:19,995 INFO [train.py:885] (0/2) Epoch 5, batch 10600, loss[loss=0.3688, simple_loss=0.405, pruned_loss=0.1663, over 14295.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03886, over 180.00 utterances.], tot_loss[loss=0.3455, simple_loss=0.3933, pruned_loss=0.1489, over 2778013.13 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07127, over 46040.28 utterances.], batch size: 180, lr: 7.82e-04
+2022-09-17 10:46:49,473 INFO [train.py:885] (0/2) Epoch 5, batch 10650, loss[loss=0.3103, simple_loss=0.3715, pruned_loss=0.1246, over 14403.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03501, over 196.00 utterances.], tot_loss[loss=0.3449, simple_loss=0.3927, pruned_loss=0.1486, over 2780774.49 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06983, over 45505.02 utterances.], batch size: 196, lr: 7.81e-04
+2022-09-17 10:47:18,863 INFO [train.py:885] (0/2) Epoch 5, batch 10700, loss[loss=0.4241, simple_loss=0.4541, pruned_loss=0.197, over 14190.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04488, over 306.00 utterances.], tot_loss[loss=0.3441, simple_loss=0.3915, pruned_loss=0.1483, over 2778544.07 frames. utt_duration=250 frames, utt_pad_proportion=0.07138, over 44726.13 utterances.], batch size: 306, lr: 7.81e-04
+2022-09-17 10:47:48,070 INFO [train.py:885] (0/2) Epoch 5, batch 10750, loss[loss=0.3974, simple_loss=0.4429, pruned_loss=0.176, over 14354.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03582, over 210.00 utterances.], tot_loss[loss=0.3475, simple_loss=0.3944, pruned_loss=0.1503, over 2778914.59 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07054, over 45573.63 utterances.], batch size: 210, lr: 7.81e-04
+2022-09-17 10:48:17,896 INFO [train.py:885] (0/2) Epoch 5, batch 10800, loss[loss=0.2536, simple_loss=0.3193, pruned_loss=0.094, over 14303.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03996, over 120.00 utterances.], tot_loss[loss=0.3454, simple_loss=0.3935, pruned_loss=0.1486, over 2777554.15 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0709, over 45646.51 utterances.], batch size: 120, lr: 7.80e-04
+2022-09-17 10:48:47,166 INFO [train.py:885] (0/2) Epoch 5, batch 10850, loss[loss=0.3656, simple_loss=0.3877, pruned_loss=0.1718, over 14078.00 frames. utt_duration=576.1 frames, utt_pad_proportion=0.05397, over 98.00 utterances.], tot_loss[loss=0.3476, simple_loss=0.3946, pruned_loss=0.1503, over 2782099.51 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06859, over 45529.34 utterances.], batch size: 98, lr: 7.80e-04
+2022-09-17 10:49:17,156 INFO [train.py:885] (0/2) Epoch 5, batch 10900, loss[loss=0.2232, simple_loss=0.2786, pruned_loss=0.0839, over 12892.00 frames. utt_duration=2065 frames, utt_pad_proportion=0.1259, over 25.00 utterances.], tot_loss[loss=0.3467, simple_loss=0.3937, pruned_loss=0.1499, over 2779790.92 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0682, over 45300.26 utterances.], batch size: 25, lr: 7.80e-04
+2022-09-17 10:49:46,796 INFO [train.py:885] (0/2) Epoch 5, batch 10950, loss[loss=0.3354, simple_loss=0.3954, pruned_loss=0.1377, over 14355.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03601, over 210.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3904, pruned_loss=0.1473, over 2780520.70 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06803, over 44763.96 utterances.], batch size: 210, lr: 7.79e-04
+2022-09-17 10:50:15,686 INFO [train.py:885] (0/2) Epoch 5, batch 11000, loss[loss=0.4551, simple_loss=0.5244, pruned_loss=0.1929, over 13199.00 frames. utt_duration=82.4 frames, utt_pad_proportion=0.1043, over 653.00 utterances.], tot_loss[loss=0.3433, simple_loss=0.3901, pruned_loss=0.1482, over 2778884.93 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06887, over 44180.55 utterances.], batch size: 653, lr: 7.79e-04
+2022-09-17 10:50:45,578 INFO [train.py:885] (0/2) Epoch 5, batch 11050, loss[loss=0.1731, simple_loss=0.2244, pruned_loss=0.06094, over 13288.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.1084, over 33.00 utterances.], tot_loss[loss=0.3438, simple_loss=0.39, pruned_loss=0.1488, over 2780181.05 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06722, over 43321.36 utterances.], batch size: 33, lr: 7.79e-04
+2022-09-17 10:51:15,774 INFO [train.py:885] (0/2) Epoch 5, batch 11100, loss[loss=0.4026, simple_loss=0.4415, pruned_loss=0.1819, over 14268.00 frames. utt_duration=188.1 frames, utt_pad_proportion=0.04035, over 306.00 utterances.], tot_loss[loss=0.3468, simple_loss=0.3938, pruned_loss=0.1499, over 2781518.95 frames. utt_duration=248 frames, utt_pad_proportion=0.06767, over 45131.19 utterances.], batch size: 306, lr: 7.78e-04
+2022-09-17 10:51:45,372 INFO [train.py:885] (0/2) Epoch 5, batch 11150, loss[loss=0.2129, simple_loss=0.2773, pruned_loss=0.07426, over 13395.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.09817, over 50.00 utterances.], tot_loss[loss=0.3477, simple_loss=0.3949, pruned_loss=0.1502, over 2783247.48 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06812, over 45465.40 utterances.], batch size: 50, lr: 7.78e-04
+2022-09-17 10:52:14,489 INFO [train.py:885] (0/2) Epoch 5, batch 11200, loss[loss=0.8396, simple_loss=0.801, pruned_loss=0.4391, over 12446.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1486, over 810.00 utterances.], tot_loss[loss=0.3473, simple_loss=0.3946, pruned_loss=0.15, over 2783743.44 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06883, over 44966.44 utterances.], batch size: 810, lr: 7.78e-04
+2022-09-17 10:52:44,506 INFO [train.py:885] (0/2) Epoch 5, batch 11250, loss[loss=0.3612, simple_loss=0.404, pruned_loss=0.1592, over 14314.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03767, over 180.00 utterances.], tot_loss[loss=0.3471, simple_loss=0.3944, pruned_loss=0.1499, over 2784750.30 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06833, over 44797.99 utterances.], batch size: 180, lr: 7.78e-04
+2022-09-17 10:53:13,734 INFO [train.py:885] (0/2) Epoch 5, batch 11300, loss[loss=0.3729, simple_loss=0.4208, pruned_loss=0.1625, over 14298.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04117, over 262.00 utterances.], tot_loss[loss=0.3441, simple_loss=0.3913, pruned_loss=0.1484, over 2786051.01 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06744, over 43850.32 utterances.], batch size: 262, lr: 7.77e-04
+2022-09-17 10:53:43,485 INFO [train.py:885] (0/2) Epoch 5, batch 11350, loss[loss=0.4076, simple_loss=0.456, pruned_loss=0.1796, over 13968.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05753, over 365.00 utterances.], tot_loss[loss=0.3444, simple_loss=0.3913, pruned_loss=0.1487, over 2784639.55 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06816, over 44156.22 utterances.], batch size: 365, lr: 7.77e-04
+2022-09-17 10:54:13,426 INFO [train.py:885] (0/2) Epoch 5, batch 11400, loss[loss=0.4434, simple_loss=0.4635, pruned_loss=0.2117, over 14234.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04329, over 335.00 utterances.], tot_loss[loss=0.3472, simple_loss=0.3946, pruned_loss=0.1499, over 2786394.41 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06776, over 45164.43 utterances.], batch size: 335, lr: 7.77e-04
+2022-09-17 10:54:42,950 INFO [train.py:885] (0/2) Epoch 5, batch 11450, loss[loss=0.4489, simple_loss=0.4683, pruned_loss=0.2148, over 14220.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04364, over 335.00 utterances.], tot_loss[loss=0.3488, simple_loss=0.3964, pruned_loss=0.1506, over 2781377.78 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07093, over 46426.99 utterances.], batch size: 335, lr: 7.76e-04
+2022-09-17 10:55:12,483 INFO [train.py:885] (0/2) Epoch 5, batch 11500, loss[loss=0.3815, simple_loss=0.4246, pruned_loss=0.1692, over 14395.00 frames. utt_duration=275.5 frames, utt_pad_proportion=0.03325, over 210.00 utterances.], tot_loss[loss=0.3487, simple_loss=0.3953, pruned_loss=0.151, over 2782055.87 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07017, over 45047.07 utterances.], batch size: 210, lr: 7.76e-04
+2022-09-17 10:55:41,817 INFO [train.py:885] (0/2) Epoch 5, batch 11550, loss[loss=0.5433, simple_loss=0.5299, pruned_loss=0.2783, over 14238.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04308, over 335.00 utterances.], tot_loss[loss=0.349, simple_loss=0.3952, pruned_loss=0.1514, over 2785433.14 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06907, over 44722.99 utterances.], batch size: 335, lr: 7.76e-04
+2022-09-17 10:56:11,259 INFO [train.py:885] (0/2) Epoch 5, batch 11600, loss[loss=0.6371, simple_loss=0.6719, pruned_loss=0.3011, over 12493.00 frames. utt_duration=63.22 frames, utt_pad_proportion=0.1457, over 811.00 utterances.], tot_loss[loss=0.3496, simple_loss=0.395, pruned_loss=0.1521, over 2782962.76 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06995, over 44143.82 utterances.], batch size: 811, lr: 7.75e-04
+2022-09-17 10:56:40,457 INFO [train.py:885] (0/2) Epoch 5, batch 11650, loss[loss=0.4398, simple_loss=0.4647, pruned_loss=0.2074, over 14233.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04271, over 335.00 utterances.], tot_loss[loss=0.348, simple_loss=0.3933, pruned_loss=0.1513, over 2788080.91 frames. utt_duration=258 frames, utt_pad_proportion=0.06883, over 43467.81 utterances.], batch size: 335, lr: 7.75e-04
+2022-09-17 10:57:09,891 INFO [train.py:885] (0/2) Epoch 5, batch 11700, loss[loss=0.2221, simple_loss=0.2805, pruned_loss=0.08189, over 14054.00 frames. utt_duration=712.9 frames, utt_pad_proportion=0.0557, over 79.00 utterances.], tot_loss[loss=0.3479, simple_loss=0.3935, pruned_loss=0.1511, over 2785130.17 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06917, over 44152.64 utterances.], batch size: 79, lr: 7.75e-04
+2022-09-17 10:57:39,698 INFO [train.py:885] (0/2) Epoch 5, batch 11750, loss[loss=0.415, simple_loss=0.4771, pruned_loss=0.1764, over 13645.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0805, over 477.00 utterances.], tot_loss[loss=0.3468, simple_loss=0.3932, pruned_loss=0.1502, over 2783616.84 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06925, over 44887.69 utterances.], batch size: 477, lr: 7.74e-04
+2022-09-17 10:58:08,289 INFO [train.py:885] (0/2) Epoch 5, batch 11800, loss[loss=0.3198, simple_loss=0.3676, pruned_loss=0.136, over 14220.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04761, over 141.00 utterances.], tot_loss[loss=0.3495, simple_loss=0.3959, pruned_loss=0.1515, over 2783378.90 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07098, over 45382.42 utterances.], batch size: 141, lr: 7.74e-04
+2022-09-17 10:58:38,493 INFO [train.py:885] (0/2) Epoch 5, batch 11850, loss[loss=0.3895, simple_loss=0.4286, pruned_loss=0.1752, over 14213.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04365, over 306.00 utterances.], tot_loss[loss=0.3504, simple_loss=0.3964, pruned_loss=0.1522, over 2783185.28 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07148, over 45429.60 utterances.], batch size: 306, lr: 7.74e-04
+2022-09-17 10:59:15,608 INFO [train.py:885] (0/2) Epoch 5, batch 11900, loss[loss=0.57, simple_loss=0.592, pruned_loss=0.274, over 13192.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1047, over 653.00 utterances.], tot_loss[loss=0.3478, simple_loss=0.3941, pruned_loss=0.1507, over 2786225.40 frames. utt_duration=249.3 frames, utt_pad_proportion=0.0701, over 44971.77 utterances.], batch size: 653, lr: 7.74e-04
+2022-09-17 10:59:46,298 INFO [train.py:885] (0/2) Epoch 5, batch 11950, loss[loss=0.4415, simple_loss=0.4684, pruned_loss=0.2074, over 14272.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04027, over 335.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.3997, pruned_loss=0.1536, over 2784489.63 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07203, over 47067.46 utterances.], batch size: 335, lr: 7.73e-04
+2022-09-17 11:00:14,688 INFO [train.py:885] (0/2) Epoch 5, batch 12000, loss[loss=0.1771, simple_loss=0.2124, pruned_loss=0.07085, over 13065.00 frames. utt_duration=1585 frames, utt_pad_proportion=0.122, over 33.00 utterances.], tot_loss[loss=0.3483, simple_loss=0.3952, pruned_loss=0.1507, over 2784277.65 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07063, over 45401.63 utterances.], batch size: 33, lr: 7.73e-04
+2022-09-17 11:00:14,689 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 11:00:18,858 INFO [train.py:914] (0/2) Epoch 5, validation: loss=0.2292, simple_loss=0.2982, pruned_loss=0.08013, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 11:00:48,283 INFO [train.py:885] (0/2) Epoch 5, batch 12050, loss[loss=0.6455, simple_loss=0.6721, pruned_loss=0.3095, over 12447.00 frames. utt_duration=63.08 frames, utt_pad_proportion=0.1476, over 810.00 utterances.], tot_loss[loss=0.3506, simple_loss=0.3964, pruned_loss=0.1524, over 2787686.69 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07032, over 45019.69 utterances.], batch size: 810, lr: 7.73e-04
+2022-09-17 11:01:17,718 INFO [train.py:885] (0/2) Epoch 5, batch 12100, loss[loss=0.4211, simple_loss=0.4448, pruned_loss=0.1987, over 14322.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03815, over 210.00 utterances.], tot_loss[loss=0.3497, simple_loss=0.396, pruned_loss=0.1517, over 2781381.85 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07232, over 45764.54 utterances.], batch size: 210, lr: 7.72e-04
+2022-09-17 11:01:47,084 INFO [train.py:885] (0/2) Epoch 5, batch 12150, loss[loss=0.2615, simple_loss=0.3259, pruned_loss=0.09857, over 14019.00 frames. utt_duration=573.6 frames, utt_pad_proportion=0.05812, over 98.00 utterances.], tot_loss[loss=0.3524, simple_loss=0.3994, pruned_loss=0.1527, over 2787836.00 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07004, over 46725.11 utterances.], batch size: 98, lr: 7.72e-04
+2022-09-17 11:02:17,106 INFO [train.py:885] (0/2) Epoch 5, batch 12200, loss[loss=0.3073, simple_loss=0.3459, pruned_loss=0.1343, over 14088.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.0548, over 98.00 utterances.], tot_loss[loss=0.3471, simple_loss=0.3949, pruned_loss=0.1496, over 2788186.05 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06811, over 45758.02 utterances.], batch size: 98, lr: 7.72e-04
+2022-09-17 11:02:47,126 INFO [train.py:885] (0/2) Epoch 5, batch 12250, loss[loss=0.2271, simple_loss=0.2803, pruned_loss=0.08695, over 13696.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.07963, over 42.00 utterances.], tot_loss[loss=0.3475, simple_loss=0.3952, pruned_loss=0.1499, over 2784145.94 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07123, over 46319.11 utterances.], batch size: 42, lr: 7.71e-04
+2022-09-17 11:03:16,424 INFO [train.py:885] (0/2) Epoch 5, batch 12300, loss[loss=0.3644, simple_loss=0.4507, pruned_loss=0.139, over 13647.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.07655, over 560.00 utterances.], tot_loss[loss=0.3462, simple_loss=0.3931, pruned_loss=0.1496, over 2783872.57 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07117, over 45618.21 utterances.], batch size: 560, lr: 7.71e-04
+2022-09-17 11:03:46,421 INFO [train.py:885] (0/2) Epoch 5, batch 12350, loss[loss=0.3841, simple_loss=0.421, pruned_loss=0.1735, over 14297.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03886, over 180.00 utterances.], tot_loss[loss=0.3474, simple_loss=0.3939, pruned_loss=0.1504, over 2780036.41 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07202, over 46103.23 utterances.], batch size: 180, lr: 7.71e-04
+2022-09-17 11:04:15,332 INFO [train.py:885] (0/2) Epoch 5, batch 12400, loss[loss=0.4197, simple_loss=0.445, pruned_loss=0.1972, over 14325.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0383, over 283.00 utterances.], tot_loss[loss=0.345, simple_loss=0.3922, pruned_loss=0.1489, over 2782219.30 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06917, over 45280.13 utterances.], batch size: 283, lr: 7.70e-04
+2022-09-17 11:04:45,283 INFO [train.py:885] (0/2) Epoch 5, batch 12450, loss[loss=0.2847, simple_loss=0.347, pruned_loss=0.1113, over 14298.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.04232, over 167.00 utterances.], tot_loss[loss=0.3451, simple_loss=0.3917, pruned_loss=0.1493, over 2784774.30 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06831, over 44516.70 utterances.], batch size: 167, lr: 7.70e-04
+2022-09-17 11:05:23,035 INFO [train.py:885] (0/2) Epoch 5, batch 12500, loss[loss=0.2496, simple_loss=0.3104, pruned_loss=0.09442, over 14050.00 frames. utt_duration=712.8 frames, utt_pad_proportion=0.05711, over 79.00 utterances.], tot_loss[loss=0.3428, simple_loss=0.3892, pruned_loss=0.1482, over 2785335.63 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06684, over 43395.15 utterances.], batch size: 79, lr: 7.70e-04
+2022-09-17 11:05:52,872 INFO [train.py:885] (0/2) Epoch 5, batch 12550, loss[loss=0.5464, simple_loss=0.5277, pruned_loss=0.2825, over 14240.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04286, over 335.00 utterances.], tot_loss[loss=0.3469, simple_loss=0.3928, pruned_loss=0.1505, over 2783653.43 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06845, over 44351.72 utterances.], batch size: 335, lr: 7.70e-04
+2022-09-17 11:06:20,327 INFO [train.py:885] (0/2) Epoch 5, batch 12600, loss[loss=0.2895, simple_loss=0.341, pruned_loss=0.119, over 14299.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03998, over 130.00 utterances.], tot_loss[loss=0.3488, simple_loss=0.3945, pruned_loss=0.1516, over 2785029.41 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06896, over 44885.96 utterances.], batch size: 130, lr: 7.69e-04
+2022-09-17 11:06:31,605 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-5.pt
+2022-09-17 11:06:39,244 INFO [train.py:885] (0/2) Epoch 6, batch 0, loss[loss=0.305, simple_loss=0.3548, pruned_loss=0.1276, over 14286.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.041, over 120.00 utterances.], tot_loss[loss=0.305, simple_loss=0.3548, pruned_loss=0.1276, over 14286.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.041, over 120.00 utterances.], batch size: 120, lr: 7.39e-04
+2022-09-17 11:07:08,631 INFO [train.py:885] (0/2) Epoch 6, batch 50, loss[loss=0.3681, simple_loss=0.4024, pruned_loss=0.1669, over 14277.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04263, over 154.00 utterances.], tot_loss[loss=0.3478, simple_loss=0.3978, pruned_loss=0.1489, over 623741.31 frames. utt_duration=212.3 frames, utt_pad_proportion=0.07913, over 11832.21 utterances.], batch size: 154, lr: 7.39e-04
+2022-09-17 11:07:37,841 INFO [train.py:885] (0/2) Epoch 6, batch 100, loss[loss=0.3979, simple_loss=0.4416, pruned_loss=0.1771, over 14359.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03544, over 210.00 utterances.], tot_loss[loss=0.3419, simple_loss=0.392, pruned_loss=0.1459, over 1108208.61 frames. utt_duration=240.9 frames, utt_pad_proportion=0.06775, over 18514.08 utterances.], batch size: 210, lr: 7.38e-04
+2022-09-17 11:08:07,169 INFO [train.py:885] (0/2) Epoch 6, batch 150, loss[loss=0.4258, simple_loss=0.4535, pruned_loss=0.1991, over 14204.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04448, over 335.00 utterances.], tot_loss[loss=0.3471, simple_loss=0.3956, pruned_loss=0.1493, over 1472623.24 frames. utt_duration=234.9 frames, utt_pad_proportion=0.074, over 25241.17 utterances.], batch size: 335, lr: 7.38e-04
+2022-09-17 11:08:37,308 INFO [train.py:885] (0/2) Epoch 6, batch 200, loss[loss=0.5041, simple_loss=0.5538, pruned_loss=0.2272, over 13139.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1083, over 653.00 utterances.], tot_loss[loss=0.3501, simple_loss=0.3982, pruned_loss=0.1511, over 1757611.28 frames. utt_duration=227 frames, utt_pad_proportion=0.07705, over 31176.05 utterances.], batch size: 653, lr: 7.38e-04
+2022-09-17 11:09:06,800 INFO [train.py:885] (0/2) Epoch 6, batch 250, loss[loss=0.2091, simple_loss=0.258, pruned_loss=0.08009, over 13454.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.0824, over 41.00 utterances.], tot_loss[loss=0.3464, simple_loss=0.3949, pruned_loss=0.1489, over 1984464.60 frames. utt_duration=234 frames, utt_pad_proportion=0.07485, over 34138.27 utterances.], batch size: 41, lr: 7.38e-04
+2022-09-17 11:09:35,991 INFO [train.py:885] (0/2) Epoch 6, batch 300, loss[loss=0.5241, simple_loss=0.507, pruned_loss=0.2706, over 14221.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04418, over 335.00 utterances.], tot_loss[loss=0.3438, simple_loss=0.3923, pruned_loss=0.1476, over 2164343.67 frames. utt_duration=241 frames, utt_pad_proportion=0.07174, over 36142.68 utterances.], batch size: 335, lr: 7.37e-04
+2022-09-17 11:10:05,703 INFO [train.py:885] (0/2) Epoch 6, batch 350, loss[loss=0.4548, simple_loss=0.4727, pruned_loss=0.2184, over 14308.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03904, over 283.00 utterances.], tot_loss[loss=0.3396, simple_loss=0.3887, pruned_loss=0.1452, over 2303278.31 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06984, over 37451.66 utterances.], batch size: 283, lr: 7.37e-04
+2022-09-17 11:10:35,602 INFO [train.py:885] (0/2) Epoch 6, batch 400, loss[loss=0.2493, simple_loss=0.2914, pruned_loss=0.1036, over 13178.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.09917, over 41.00 utterances.], tot_loss[loss=0.345, simple_loss=0.3939, pruned_loss=0.1481, over 2407049.48 frames. utt_duration=235 frames, utt_pad_proportion=0.0742, over 41227.25 utterances.], batch size: 41, lr: 7.37e-04
+2022-09-17 11:11:04,881 INFO [train.py:885] (0/2) Epoch 6, batch 450, loss[loss=0.3838, simple_loss=0.4246, pruned_loss=0.1715, over 14365.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03264, over 244.00 utterances.], tot_loss[loss=0.3496, simple_loss=0.3978, pruned_loss=0.1507, over 2487594.95 frames. utt_duration=229 frames, utt_pad_proportion=0.0766, over 43736.52 utterances.], batch size: 244, lr: 7.36e-04
+2022-09-17 11:11:34,036 INFO [train.py:885] (0/2) Epoch 6, batch 500, loss[loss=0.3374, simple_loss=0.3788, pruned_loss=0.148, over 14170.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.04486, over 109.00 utterances.], tot_loss[loss=0.3504, simple_loss=0.3981, pruned_loss=0.1514, over 2550261.53 frames. utt_duration=229 frames, utt_pad_proportion=0.07651, over 44835.40 utterances.], batch size: 109, lr: 7.36e-04
+2022-09-17 11:12:04,211 INFO [train.py:885] (0/2) Epoch 6, batch 550, loss[loss=0.6194, simple_loss=0.6543, pruned_loss=0.2923, over 12556.00 frames. utt_duration=63.52 frames, utt_pad_proportion=0.1416, over 810.00 utterances.], tot_loss[loss=0.3476, simple_loss=0.3962, pruned_loss=0.1495, over 2599162.68 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07621, over 45556.60 utterances.], batch size: 810, lr: 7.36e-04
+2022-09-17 11:12:33,329 INFO [train.py:885] (0/2) Epoch 6, batch 600, loss[loss=0.2362, simple_loss=0.2767, pruned_loss=0.09791, over 13613.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08345, over 50.00 utterances.], tot_loss[loss=0.3446, simple_loss=0.3936, pruned_loss=0.1478, over 2640448.33 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07469, over 45045.88 utterances.], batch size: 50, lr: 7.36e-04
+2022-09-17 11:13:02,619 INFO [train.py:885] (0/2) Epoch 6, batch 650, loss[loss=0.475, simple_loss=0.4782, pruned_loss=0.2359, over 14335.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03737, over 195.00 utterances.], tot_loss[loss=0.3372, simple_loss=0.3861, pruned_loss=0.1441, over 2670510.84 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07155, over 43015.80 utterances.], batch size: 195, lr: 7.35e-04
+2022-09-17 11:13:32,077 INFO [train.py:885] (0/2) Epoch 6, batch 700, loss[loss=0.2844, simple_loss=0.3359, pruned_loss=0.1165, over 14035.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05675, over 98.00 utterances.], tot_loss[loss=0.3417, simple_loss=0.3907, pruned_loss=0.1463, over 2697717.30 frames. utt_duration=244 frames, utt_pad_proportion=0.07088, over 44488.97 utterances.], batch size: 98, lr: 7.35e-04
+2022-09-17 11:14:01,160 INFO [train.py:885] (0/2) Epoch 6, batch 750, loss[loss=0.2882, simple_loss=0.3354, pruned_loss=0.1204, over 14275.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.0451, over 110.00 utterances.], tot_loss[loss=0.3442, simple_loss=0.3933, pruned_loss=0.1476, over 2713840.88 frames. utt_duration=238 frames, utt_pad_proportion=0.07201, over 45889.80 utterances.], batch size: 110, lr: 7.35e-04
+2022-09-17 11:14:31,393 INFO [train.py:885] (0/2) Epoch 6, batch 800, loss[loss=0.2639, simple_loss=0.304, pruned_loss=0.1119, over 14070.00 frames. utt_duration=713.9 frames, utt_pad_proportion=0.05574, over 79.00 utterances.], tot_loss[loss=0.3485, simple_loss=0.3968, pruned_loss=0.1501, over 2731615.30 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07218, over 46602.03 utterances.], batch size: 79, lr: 7.34e-04
+2022-09-17 11:15:00,878 INFO [train.py:885] (0/2) Epoch 6, batch 850, loss[loss=0.384, simple_loss=0.4409, pruned_loss=0.1636, over 13990.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05715, over 365.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3946, pruned_loss=0.1492, over 2743524.77 frames. utt_duration=240.4 frames, utt_pad_proportion=0.0714, over 45937.15 utterances.], batch size: 365, lr: 7.34e-04
+2022-09-17 11:15:30,509 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-64000.pt
+2022-09-17 11:15:31,000 INFO [train.py:885] (0/2) Epoch 6, batch 900, loss[loss=0.2685, simple_loss=0.3139, pruned_loss=0.1115, over 13994.00 frames. utt_duration=709.8 frames, utt_pad_proportion=0.06111, over 79.00 utterances.], tot_loss[loss=0.3419, simple_loss=0.3902, pruned_loss=0.1468, over 2750817.25 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06904, over 43639.23 utterances.], batch size: 79, lr: 7.34e-04
+2022-09-17 11:16:00,707 INFO [train.py:885] (0/2) Epoch 6, batch 950, loss[loss=0.3692, simple_loss=0.4367, pruned_loss=0.1509, over 13802.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06993, over 411.00 utterances.], tot_loss[loss=0.3457, simple_loss=0.3937, pruned_loss=0.1488, over 2756386.66 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07193, over 45449.95 utterances.], batch size: 411, lr: 7.34e-04
+2022-09-17 11:16:30,251 INFO [train.py:885] (0/2) Epoch 6, batch 1000, loss[loss=0.2805, simple_loss=0.3446, pruned_loss=0.1082, over 14345.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.03524, over 130.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3942, pruned_loss=0.1494, over 2761133.53 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07172, over 45313.97 utterances.], batch size: 130, lr: 7.33e-04
+2022-09-17 11:16:59,685 INFO [train.py:885] (0/2) Epoch 6, batch 1050, loss[loss=0.193, simple_loss=0.2393, pruned_loss=0.07341, over 12517.00 frames. utt_duration=2004 frames, utt_pad_proportion=0.1392, over 25.00 utterances.], tot_loss[loss=0.3477, simple_loss=0.395, pruned_loss=0.1503, over 2762568.06 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07288, over 46171.07 utterances.], batch size: 25, lr: 7.33e-04
+2022-09-17 11:17:29,246 INFO [train.py:885] (0/2) Epoch 6, batch 1100, loss[loss=0.287, simple_loss=0.3306, pruned_loss=0.1217, over 14157.00 frames. utt_duration=579.2 frames, utt_pad_proportion=0.04886, over 98.00 utterances.], tot_loss[loss=0.3435, simple_loss=0.3922, pruned_loss=0.1474, over 2768132.07 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07132, over 45621.21 utterances.], batch size: 98, lr: 7.33e-04
+2022-09-17 11:17:58,258 INFO [train.py:885] (0/2) Epoch 6, batch 1150, loss[loss=0.2034, simple_loss=0.2595, pruned_loss=0.07361, over 13461.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.08251, over 41.00 utterances.], tot_loss[loss=0.3388, simple_loss=0.3879, pruned_loss=0.1449, over 2767725.16 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07124, over 44124.67 utterances.], batch size: 41, lr: 7.32e-04
+2022-09-17 11:18:28,090 INFO [train.py:885] (0/2) Epoch 6, batch 1200, loss[loss=0.2994, simple_loss=0.3493, pruned_loss=0.1248, over 13488.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.08837, over 50.00 utterances.], tot_loss[loss=0.3394, simple_loss=0.3882, pruned_loss=0.1453, over 2768048.82 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07175, over 44402.76 utterances.], batch size: 50, lr: 7.32e-04
+2022-09-17 11:18:57,661 INFO [train.py:885] (0/2) Epoch 6, batch 1250, loss[loss=0.4901, simple_loss=0.4942, pruned_loss=0.243, over 14259.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04167, over 335.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3911, pruned_loss=0.147, over 2771289.06 frames. utt_duration=246 frames, utt_pad_proportion=0.071, over 45327.95 utterances.], batch size: 335, lr: 7.32e-04
+2022-09-17 11:19:27,362 INFO [train.py:885] (0/2) Epoch 6, batch 1300, loss[loss=0.3775, simple_loss=0.4302, pruned_loss=0.1625, over 14274.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04018, over 180.00 utterances.], tot_loss[loss=0.3411, simple_loss=0.3893, pruned_loss=0.1464, over 2774480.62 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06848, over 44109.09 utterances.], batch size: 180, lr: 7.32e-04
+2022-09-17 11:19:56,872 INFO [train.py:885] (0/2) Epoch 6, batch 1350, loss[loss=0.4145, simple_loss=0.4477, pruned_loss=0.1907, over 14242.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04155, over 306.00 utterances.], tot_loss[loss=0.3428, simple_loss=0.39, pruned_loss=0.1478, over 2773577.32 frames. utt_duration=252.4 frames, utt_pad_proportion=0.0706, over 44206.29 utterances.], batch size: 306, lr: 7.31e-04
+2022-09-17 11:20:26,046 INFO [train.py:885] (0/2) Epoch 6, batch 1400, loss[loss=0.1975, simple_loss=0.2576, pruned_loss=0.06873, over 13388.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08549, over 41.00 utterances.], tot_loss[loss=0.34, simple_loss=0.3874, pruned_loss=0.1463, over 2776082.47 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06887, over 43097.09 utterances.], batch size: 41, lr: 7.31e-04
+2022-09-17 11:20:55,518 INFO [train.py:885] (0/2) Epoch 6, batch 1450, loss[loss=0.2408, simple_loss=0.2906, pruned_loss=0.09552, over 14002.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.06028, over 79.00 utterances.], tot_loss[loss=0.3393, simple_loss=0.3872, pruned_loss=0.1456, over 2781344.91 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06801, over 42885.81 utterances.], batch size: 79, lr: 7.31e-04
+2022-09-17 11:21:25,539 INFO [train.py:885] (0/2) Epoch 6, batch 1500, loss[loss=0.3463, simple_loss=0.3941, pruned_loss=0.1492, over 14340.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.0369, over 195.00 utterances.], tot_loss[loss=0.3388, simple_loss=0.3871, pruned_loss=0.1452, over 2787497.70 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06691, over 42843.23 utterances.], batch size: 195, lr: 7.30e-04
+2022-09-17 11:21:54,495 INFO [train.py:885] (0/2) Epoch 6, batch 1550, loss[loss=0.2389, simple_loss=0.2889, pruned_loss=0.09445, over 13906.00 frames. utt_duration=928.6 frames, utt_pad_proportion=0.06293, over 60.00 utterances.], tot_loss[loss=0.3409, simple_loss=0.3891, pruned_loss=0.1464, over 2782949.84 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06909, over 43540.17 utterances.], batch size: 60, lr: 7.30e-04
+2022-09-17 11:22:23,745 INFO [train.py:885] (0/2) Epoch 6, batch 1600, loss[loss=0.357, simple_loss=0.4343, pruned_loss=0.1399, over 13749.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07361, over 411.00 utterances.], tot_loss[loss=0.3422, simple_loss=0.3907, pruned_loss=0.1468, over 2784395.74 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06952, over 45033.06 utterances.], batch size: 411, lr: 7.30e-04
+2022-09-17 11:22:53,267 INFO [train.py:885] (0/2) Epoch 6, batch 1650, loss[loss=0.363, simple_loss=0.4116, pruned_loss=0.1572, over 14302.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.0395, over 283.00 utterances.], tot_loss[loss=0.3411, simple_loss=0.3897, pruned_loss=0.1463, over 2781283.33 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06942, over 44809.15 utterances.], batch size: 283, lr: 7.30e-04
+2022-09-17 11:23:23,084 INFO [train.py:885] (0/2) Epoch 6, batch 1700, loss[loss=0.3999, simple_loss=0.4767, pruned_loss=0.1615, over 13685.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.0782, over 477.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3911, pruned_loss=0.1469, over 2783587.66 frames. utt_duration=248 frames, utt_pad_proportion=0.06865, over 45161.33 utterances.], batch size: 477, lr: 7.29e-04
+2022-09-17 11:23:52,133 INFO [train.py:885] (0/2) Epoch 6, batch 1750, loss[loss=0.3345, simple_loss=0.3911, pruned_loss=0.1389, over 14311.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03858, over 210.00 utterances.], tot_loss[loss=0.3395, simple_loss=0.3882, pruned_loss=0.1454, over 2786686.69 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06653, over 43941.43 utterances.], batch size: 210, lr: 7.29e-04
+2022-09-17 11:24:22,169 INFO [train.py:885] (0/2) Epoch 6, batch 1800, loss[loss=0.2156, simple_loss=0.2482, pruned_loss=0.09145, over 13099.00 frames. utt_duration=1589 frames, utt_pad_proportion=0.1205, over 33.00 utterances.], tot_loss[loss=0.3464, simple_loss=0.3941, pruned_loss=0.1494, over 2787615.58 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06811, over 45312.81 utterances.], batch size: 33, lr: 7.29e-04
+2022-09-17 11:24:51,857 INFO [train.py:885] (0/2) Epoch 6, batch 1850, loss[loss=0.4131, simple_loss=0.4404, pruned_loss=0.1929, over 14319.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03948, over 262.00 utterances.], tot_loss[loss=0.3409, simple_loss=0.3889, pruned_loss=0.1465, over 2784983.76 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06977, over 43899.39 utterances.], batch size: 262, lr: 7.28e-04
+2022-09-17 11:25:21,072 INFO [train.py:885] (0/2) Epoch 6, batch 1900, loss[loss=0.3007, simple_loss=0.3576, pruned_loss=0.1219, over 14270.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04401, over 141.00 utterances.], tot_loss[loss=0.3387, simple_loss=0.3872, pruned_loss=0.145, over 2787020.70 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06973, over 43512.69 utterances.], batch size: 141, lr: 7.28e-04
+2022-09-17 11:25:50,681 INFO [train.py:885] (0/2) Epoch 6, batch 1950, loss[loss=0.2886, simple_loss=0.3211, pruned_loss=0.1281, over 13397.00 frames. utt_duration=2062 frames, utt_pad_proportion=0.1045, over 26.00 utterances.], tot_loss[loss=0.3389, simple_loss=0.3871, pruned_loss=0.1454, over 2788409.93 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06732, over 43109.33 utterances.], batch size: 26, lr: 7.28e-04
+2022-09-17 11:26:19,702 INFO [train.py:885] (0/2) Epoch 6, batch 2000, loss[loss=0.2235, simple_loss=0.285, pruned_loss=0.08104, over 14007.00 frames. utt_duration=710.8 frames, utt_pad_proportion=0.05856, over 79.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.391, pruned_loss=0.147, over 2789899.79 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06954, over 44774.91 utterances.], batch size: 79, lr: 7.28e-04
+2022-09-17 11:26:49,168 INFO [train.py:885] (0/2) Epoch 6, batch 2050, loss[loss=0.4801, simple_loss=0.5435, pruned_loss=0.2083, over 13166.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1061, over 653.00 utterances.], tot_loss[loss=0.3428, simple_loss=0.3916, pruned_loss=0.147, over 2787610.10 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07048, over 44477.02 utterances.], batch size: 653, lr: 7.27e-04
+2022-09-17 11:27:18,347 INFO [train.py:885] (0/2) Epoch 6, batch 2100, loss[loss=0.4114, simple_loss=0.4394, pruned_loss=0.1917, over 14286.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03947, over 225.00 utterances.], tot_loss[loss=0.3433, simple_loss=0.3925, pruned_loss=0.147, over 2786150.96 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07167, over 45476.86 utterances.], batch size: 225, lr: 7.27e-04
+2022-09-17 11:27:47,971 INFO [train.py:885] (0/2) Epoch 6, batch 2150, loss[loss=0.3042, simple_loss=0.3545, pruned_loss=0.127, over 14327.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.0385, over 120.00 utterances.], tot_loss[loss=0.3415, simple_loss=0.3906, pruned_loss=0.1462, over 2782403.55 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07187, over 44864.94 utterances.], batch size: 120, lr: 7.27e-04
+2022-09-17 11:28:23,929 INFO [train.py:885] (0/2) Epoch 6, batch 2200, loss[loss=0.2981, simple_loss=0.3485, pruned_loss=0.1239, over 14143.00 frames. utt_duration=578.7 frames, utt_pad_proportion=0.05134, over 98.00 utterances.], tot_loss[loss=0.3419, simple_loss=0.3912, pruned_loss=0.1463, over 2784894.37 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07126, over 44994.44 utterances.], batch size: 98, lr: 7.27e-04
+2022-09-17 11:28:53,909 INFO [train.py:885] (0/2) Epoch 6, batch 2250, loss[loss=0.3541, simple_loss=0.4104, pruned_loss=0.1489, over 14360.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0371, over 244.00 utterances.], tot_loss[loss=0.3402, simple_loss=0.3898, pruned_loss=0.1453, over 2788254.69 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06876, over 44859.86 utterances.], batch size: 244, lr: 7.26e-04
+2022-09-17 11:29:23,410 INFO [train.py:885] (0/2) Epoch 6, batch 2300, loss[loss=0.3545, simple_loss=0.3988, pruned_loss=0.1551, over 14301.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03896, over 225.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3918, pruned_loss=0.1466, over 2786847.69 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06969, over 45300.41 utterances.], batch size: 225, lr: 7.26e-04
+2022-09-17 11:29:53,181 INFO [train.py:885] (0/2) Epoch 6, batch 2350, loss[loss=0.2302, simple_loss=0.2864, pruned_loss=0.08703, over 13678.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.0784, over 50.00 utterances.], tot_loss[loss=0.3478, simple_loss=0.3959, pruned_loss=0.1499, over 2784751.50 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07124, over 46279.77 utterances.], batch size: 50, lr: 7.26e-04
+2022-09-17 11:30:22,422 INFO [train.py:885] (0/2) Epoch 6, batch 2400, loss[loss=0.2996, simple_loss=0.3642, pruned_loss=0.1175, over 14296.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04141, over 154.00 utterances.], tot_loss[loss=0.3472, simple_loss=0.3955, pruned_loss=0.1495, over 2781410.92 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07231, over 46033.47 utterances.], batch size: 154, lr: 7.25e-04
+2022-09-17 11:30:51,636 INFO [train.py:885] (0/2) Epoch 6, batch 2450, loss[loss=0.2521, simple_loss=0.3222, pruned_loss=0.09103, over 14237.00 frames. utt_duration=641.3 frames, utt_pad_proportion=0.04426, over 89.00 utterances.], tot_loss[loss=0.3428, simple_loss=0.3918, pruned_loss=0.1469, over 2777423.95 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07325, over 45403.52 utterances.], batch size: 89, lr: 7.25e-04
+2022-09-17 11:31:21,686 INFO [train.py:885] (0/2) Epoch 6, batch 2500, loss[loss=0.197, simple_loss=0.2605, pruned_loss=0.06679, over 13568.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.08908, over 42.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3913, pruned_loss=0.1468, over 2775989.11 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07331, over 45277.06 utterances.], batch size: 42, lr: 7.25e-04
+2022-09-17 11:31:51,474 INFO [train.py:885] (0/2) Epoch 6, batch 2550, loss[loss=0.6036, simple_loss=0.6484, pruned_loss=0.2795, over 12412.00 frames. utt_duration=62.88 frames, utt_pad_proportion=0.1503, over 810.00 utterances.], tot_loss[loss=0.3444, simple_loss=0.3927, pruned_loss=0.148, over 2780177.00 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07226, over 45192.34 utterances.], batch size: 810, lr: 7.25e-04
+2022-09-17 11:32:20,820 INFO [train.py:885] (0/2) Epoch 6, batch 2600, loss[loss=0.2655, simple_loss=0.3136, pruned_loss=0.1087, over 14102.00 frames. utt_duration=519 frames, utt_pad_proportion=0.04952, over 109.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3907, pruned_loss=0.1471, over 2781724.41 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07073, over 44646.90 utterances.], batch size: 109, lr: 7.24e-04
+2022-09-17 11:32:49,579 INFO [train.py:885] (0/2) Epoch 6, batch 2650, loss[loss=0.2681, simple_loss=0.3284, pruned_loss=0.1039, over 13735.00 frames. utt_duration=1101 frames, utt_pad_proportion=0.07513, over 50.00 utterances.], tot_loss[loss=0.3378, simple_loss=0.3868, pruned_loss=0.1444, over 2781209.37 frames. utt_duration=259.9 frames, utt_pad_proportion=0.07078, over 43050.22 utterances.], batch size: 50, lr: 7.24e-04
+2022-09-17 11:33:19,543 INFO [train.py:885] (0/2) Epoch 6, batch 2700, loss[loss=0.2513, simple_loss=0.303, pruned_loss=0.09979, over 13912.00 frames. utt_duration=808 frames, utt_pad_proportion=0.05822, over 69.00 utterances.], tot_loss[loss=0.3396, simple_loss=0.3888, pruned_loss=0.1451, over 2780907.65 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07174, over 44116.46 utterances.], batch size: 69, lr: 7.24e-04
+2022-09-17 11:33:48,894 INFO [train.py:885] (0/2) Epoch 6, batch 2750, loss[loss=0.3573, simple_loss=0.4081, pruned_loss=0.1532, over 14369.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03525, over 210.00 utterances.], tot_loss[loss=0.3364, simple_loss=0.3852, pruned_loss=0.1438, over 2780690.91 frames. utt_duration=263.7 frames, utt_pad_proportion=0.06936, over 42409.05 utterances.], batch size: 210, lr: 7.24e-04
+2022-09-17 11:34:18,550 INFO [train.py:885] (0/2) Epoch 6, batch 2800, loss[loss=0.4041, simple_loss=0.4269, pruned_loss=0.1906, over 14348.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03688, over 120.00 utterances.], tot_loss[loss=0.3438, simple_loss=0.3918, pruned_loss=0.1479, over 2782083.69 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07023, over 45006.39 utterances.], batch size: 120, lr: 7.23e-04
+2022-09-17 11:34:48,355 INFO [train.py:885] (0/2) Epoch 6, batch 2850, loss[loss=0.3458, simple_loss=0.4242, pruned_loss=0.1337, over 13771.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07139, over 411.00 utterances.], tot_loss[loss=0.3406, simple_loss=0.3897, pruned_loss=0.1458, over 2789065.76 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06725, over 44217.24 utterances.], batch size: 411, lr: 7.23e-04
+2022-09-17 11:35:17,727 INFO [train.py:885] (0/2) Epoch 6, batch 2900, loss[loss=0.3489, simple_loss=0.3988, pruned_loss=0.1495, over 14320.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03715, over 180.00 utterances.], tot_loss[loss=0.3413, simple_loss=0.3902, pruned_loss=0.1462, over 2788662.72 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06903, over 44828.21 utterances.], batch size: 180, lr: 7.23e-04
+2022-09-17 11:35:47,001 INFO [train.py:885] (0/2) Epoch 6, batch 2950, loss[loss=0.433, simple_loss=0.5131, pruned_loss=0.1764, over 13167.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.3372, simple_loss=0.3869, pruned_loss=0.1438, over 2787921.71 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06903, over 44389.86 utterances.], batch size: 653, lr: 7.22e-04
+2022-09-17 11:36:16,895 INFO [train.py:885] (0/2) Epoch 6, batch 3000, loss[loss=0.4063, simple_loss=0.4548, pruned_loss=0.1789, over 13971.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05778, over 365.00 utterances.], tot_loss[loss=0.3377, simple_loss=0.3875, pruned_loss=0.144, over 2780995.66 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07142, over 45191.25 utterances.], batch size: 365, lr: 7.22e-04
+2022-09-17 11:36:16,896 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 11:36:20,996 INFO [train.py:914] (0/2) Epoch 6, validation: loss=0.2209, simple_loss=0.2949, pruned_loss=0.07349, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 11:36:51,380 INFO [train.py:885] (0/2) Epoch 6, batch 3050, loss[loss=0.1767, simple_loss=0.2306, pruned_loss=0.06136, over 13340.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.1019, over 33.00 utterances.], tot_loss[loss=0.3395, simple_loss=0.3892, pruned_loss=0.1449, over 2782701.53 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06994, over 45758.41 utterances.], batch size: 33, lr: 7.22e-04
+2022-09-17 11:37:21,082 INFO [train.py:885] (0/2) Epoch 6, batch 3100, loss[loss=0.3602, simple_loss=0.4328, pruned_loss=0.1438, over 14044.00 frames. utt_duration=155.3 frames, utt_pad_proportion=0.05292, over 365.00 utterances.], tot_loss[loss=0.3417, simple_loss=0.3905, pruned_loss=0.1465, over 2782513.79 frames. utt_duration=243 frames, utt_pad_proportion=0.06991, over 46080.99 utterances.], batch size: 365, lr: 7.22e-04
+2022-09-17 11:37:50,256 INFO [train.py:885] (0/2) Epoch 6, batch 3150, loss[loss=0.314, simple_loss=0.3739, pruned_loss=0.127, over 14270.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04106, over 180.00 utterances.], tot_loss[loss=0.3399, simple_loss=0.3882, pruned_loss=0.1458, over 2780786.02 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07074, over 45179.27 utterances.], batch size: 180, lr: 7.21e-04
+2022-09-17 11:38:19,862 INFO [train.py:885] (0/2) Epoch 6, batch 3200, loss[loss=0.2353, simple_loss=0.2912, pruned_loss=0.0897, over 13898.00 frames. utt_duration=928.1 frames, utt_pad_proportion=0.0644, over 60.00 utterances.], tot_loss[loss=0.3365, simple_loss=0.3852, pruned_loss=0.1439, over 2780046.61 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07095, over 44991.82 utterances.], batch size: 60, lr: 7.21e-04
+2022-09-17 11:38:48,905 INFO [train.py:885] (0/2) Epoch 6, batch 3250, loss[loss=0.316, simple_loss=0.3762, pruned_loss=0.1279, over 14290.00 frames. utt_duration=294.8 frames, utt_pad_proportion=0.03986, over 195.00 utterances.], tot_loss[loss=0.3411, simple_loss=0.3887, pruned_loss=0.1467, over 2781319.58 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07102, over 44966.75 utterances.], batch size: 195, lr: 7.21e-04
+2022-09-17 11:39:18,538 INFO [train.py:885] (0/2) Epoch 6, batch 3300, loss[loss=0.4869, simple_loss=0.5357, pruned_loss=0.219, over 13167.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.3417, simple_loss=0.3896, pruned_loss=0.1469, over 2779604.29 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07288, over 45163.60 utterances.], batch size: 653, lr: 7.21e-04
+2022-09-17 11:39:47,813 INFO [train.py:885] (0/2) Epoch 6, batch 3350, loss[loss=0.336, simple_loss=0.3833, pruned_loss=0.1444, over 14318.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03859, over 195.00 utterances.], tot_loss[loss=0.3435, simple_loss=0.3907, pruned_loss=0.1481, over 2784536.69 frames. utt_duration=250.6 frames, utt_pad_proportion=0.0714, over 44710.53 utterances.], batch size: 195, lr: 7.20e-04
+2022-09-17 11:40:26,795 INFO [train.py:885] (0/2) Epoch 6, batch 3400, loss[loss=0.3235, simple_loss=0.3764, pruned_loss=0.1353, over 14284.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04088, over 120.00 utterances.], tot_loss[loss=0.3426, simple_loss=0.39, pruned_loss=0.1476, over 2782262.00 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07208, over 44817.29 utterances.], batch size: 120, lr: 7.20e-04
+2022-09-17 11:40:55,942 INFO [train.py:885] (0/2) Epoch 6, batch 3450, loss[loss=0.402, simple_loss=0.4597, pruned_loss=0.1722, over 13804.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06933, over 411.00 utterances.], tot_loss[loss=0.3428, simple_loss=0.3907, pruned_loss=0.1474, over 2782422.73 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07123, over 45191.65 utterances.], batch size: 411, lr: 7.20e-04
+2022-09-17 11:41:25,704 INFO [train.py:885] (0/2) Epoch 6, batch 3500, loss[loss=0.5883, simple_loss=0.6473, pruned_loss=0.2647, over 12455.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1472, over 810.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3908, pruned_loss=0.1471, over 2779008.67 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07406, over 45199.93 utterances.], batch size: 810, lr: 7.19e-04
+2022-09-17 11:41:55,110 INFO [train.py:885] (0/2) Epoch 6, batch 3550, loss[loss=0.4707, simple_loss=0.5356, pruned_loss=0.2029, over 13127.00 frames. utt_duration=81.98 frames, utt_pad_proportion=0.1089, over 653.00 utterances.], tot_loss[loss=0.3433, simple_loss=0.3924, pruned_loss=0.1471, over 2780759.44 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07265, over 46564.60 utterances.], batch size: 653, lr: 7.19e-04
+2022-09-17 11:42:24,768 INFO [train.py:885] (0/2) Epoch 6, batch 3600, loss[loss=0.3328, simple_loss=0.3964, pruned_loss=0.1346, over 14366.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.0373, over 167.00 utterances.], tot_loss[loss=0.3454, simple_loss=0.394, pruned_loss=0.1484, over 2782625.47 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07353, over 47196.11 utterances.], batch size: 167, lr: 7.19e-04
+2022-09-17 11:42:53,873 INFO [train.py:885] (0/2) Epoch 6, batch 3650, loss[loss=0.2752, simple_loss=0.3185, pruned_loss=0.1159, over 11940.00 frames. utt_duration=1991 frames, utt_pad_proportion=0.1801, over 24.00 utterances.], tot_loss[loss=0.3461, simple_loss=0.3953, pruned_loss=0.1485, over 2779114.08 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07469, over 48054.62 utterances.], batch size: 24, lr: 7.19e-04
+2022-09-17 11:43:24,412 INFO [train.py:885] (0/2) Epoch 6, batch 3700, loss[loss=0.2237, simple_loss=0.2903, pruned_loss=0.07852, over 13959.00 frames. utt_duration=708.3 frames, utt_pad_proportion=0.05809, over 79.00 utterances.], tot_loss[loss=0.3496, simple_loss=0.3983, pruned_loss=0.1504, over 2778103.66 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07438, over 48690.92 utterances.], batch size: 79, lr: 7.18e-04
+2022-09-17 11:43:53,551 INFO [train.py:885] (0/2) Epoch 6, batch 3750, loss[loss=0.3694, simple_loss=0.4238, pruned_loss=0.1575, over 14360.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03714, over 244.00 utterances.], tot_loss[loss=0.352, simple_loss=0.4003, pruned_loss=0.1519, over 2779943.68 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07365, over 48719.29 utterances.], batch size: 244, lr: 7.18e-04
+2022-09-17 11:44:23,463 INFO [train.py:885] (0/2) Epoch 6, batch 3800, loss[loss=0.3751, simple_loss=0.4266, pruned_loss=0.1618, over 14373.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03637, over 244.00 utterances.], tot_loss[loss=0.3496, simple_loss=0.3981, pruned_loss=0.1506, over 2776944.81 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07398, over 47860.10 utterances.], batch size: 244, lr: 7.18e-04
+2022-09-17 11:44:52,760 INFO [train.py:885] (0/2) Epoch 6, batch 3850, loss[loss=0.2844, simple_loss=0.348, pruned_loss=0.1104, over 14284.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04342, over 141.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3959, pruned_loss=0.1486, over 2775579.79 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07407, over 47681.99 utterances.], batch size: 141, lr: 7.18e-04
+2022-09-17 11:45:22,508 INFO [train.py:885] (0/2) Epoch 6, batch 3900, loss[loss=0.26, simple_loss=0.3019, pruned_loss=0.109, over 13491.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.09215, over 42.00 utterances.], tot_loss[loss=0.3484, simple_loss=0.397, pruned_loss=0.1499, over 2779998.57 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07333, over 47973.68 utterances.], batch size: 42, lr: 7.17e-04
+2022-09-17 11:45:51,758 INFO [train.py:885] (0/2) Epoch 6, batch 3950, loss[loss=0.3369, simple_loss=0.3914, pruned_loss=0.1412, over 14340.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03682, over 195.00 utterances.], tot_loss[loss=0.3493, simple_loss=0.3978, pruned_loss=0.1504, over 2777480.95 frames. utt_duration=230 frames, utt_pad_proportion=0.07496, over 48620.88 utterances.], batch size: 195, lr: 7.17e-04
+2022-09-17 11:46:21,728 INFO [train.py:885] (0/2) Epoch 6, batch 4000, loss[loss=0.2932, simple_loss=0.3441, pruned_loss=0.1212, over 14043.00 frames. utt_duration=574.7 frames, utt_pad_proportion=0.0563, over 98.00 utterances.], tot_loss[loss=0.3448, simple_loss=0.3938, pruned_loss=0.148, over 2778100.04 frames. utt_duration=236.6 frames, utt_pad_proportion=0.0743, over 47260.28 utterances.], batch size: 98, lr: 7.17e-04
+2022-09-17 11:46:51,001 INFO [train.py:885] (0/2) Epoch 6, batch 4050, loss[loss=0.5962, simple_loss=0.6398, pruned_loss=0.2763, over 12540.00 frames. utt_duration=63.44 frames, utt_pad_proportion=0.1427, over 810.00 utterances.], tot_loss[loss=0.3492, simple_loss=0.3978, pruned_loss=0.1503, over 2775968.49 frames. utt_duration=230.9 frames, utt_pad_proportion=0.0753, over 48390.77 utterances.], batch size: 810, lr: 7.17e-04
+2022-09-17 11:47:20,391 INFO [train.py:885] (0/2) Epoch 6, batch 4100, loss[loss=0.2183, simple_loss=0.2696, pruned_loss=0.0835, over 13915.00 frames. utt_duration=929.2 frames, utt_pad_proportion=0.06613, over 60.00 utterances.], tot_loss[loss=0.3417, simple_loss=0.3902, pruned_loss=0.1466, over 2780572.73 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07277, over 45206.72 utterances.], batch size: 60, lr: 7.16e-04
+2022-09-17 11:47:49,827 INFO [train.py:885] (0/2) Epoch 6, batch 4150, loss[loss=0.3994, simple_loss=0.4526, pruned_loss=0.1731, over 14002.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05808, over 366.00 utterances.], tot_loss[loss=0.3406, simple_loss=0.3902, pruned_loss=0.1455, over 2777931.62 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07364, over 46028.45 utterances.], batch size: 366, lr: 7.16e-04
+2022-09-17 11:48:19,626 INFO [train.py:885] (0/2) Epoch 6, batch 4200, loss[loss=0.2403, simple_loss=0.3042, pruned_loss=0.08819, over 13486.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.0883, over 50.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3865, pruned_loss=0.1438, over 2778234.25 frames. utt_duration=249.3 frames, utt_pad_proportion=0.0712, over 44842.21 utterances.], batch size: 50, lr: 7.16e-04
+2022-09-17 11:48:49,270 INFO [train.py:885] (0/2) Epoch 6, batch 4250, loss[loss=0.272, simple_loss=0.3454, pruned_loss=0.09923, over 14197.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04344, over 109.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.3867, pruned_loss=0.1437, over 2780055.34 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07116, over 44829.54 utterances.], batch size: 109, lr: 7.15e-04
+2022-09-17 11:49:25,264 INFO [train.py:885] (0/2) Epoch 6, batch 4300, loss[loss=0.3117, simple_loss=0.3791, pruned_loss=0.1222, over 14309.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03829, over 180.00 utterances.], tot_loss[loss=0.3383, simple_loss=0.3877, pruned_loss=0.1445, over 2783595.44 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06924, over 45024.07 utterances.], batch size: 180, lr: 7.15e-04
+2022-09-17 11:49:55,129 INFO [train.py:885] (0/2) Epoch 6, batch 4350, loss[loss=0.24, simple_loss=0.2881, pruned_loss=0.09593, over 13383.00 frames. utt_duration=1624 frames, utt_pad_proportion=0.08926, over 33.00 utterances.], tot_loss[loss=0.3352, simple_loss=0.3858, pruned_loss=0.1424, over 2776851.77 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07126, over 45323.85 utterances.], batch size: 33, lr: 7.15e-04
+2022-09-17 11:50:24,430 INFO [train.py:885] (0/2) Epoch 6, batch 4400, loss[loss=0.3872, simple_loss=0.4302, pruned_loss=0.1721, over 14358.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03312, over 244.00 utterances.], tot_loss[loss=0.3355, simple_loss=0.3855, pruned_loss=0.1427, over 2778834.78 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07127, over 44472.55 utterances.], batch size: 244, lr: 7.15e-04
+2022-09-17 11:50:54,875 INFO [train.py:885] (0/2) Epoch 6, batch 4450, loss[loss=0.3622, simple_loss=0.4137, pruned_loss=0.1553, over 14376.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03419, over 210.00 utterances.], tot_loss[loss=0.3384, simple_loss=0.3876, pruned_loss=0.1446, over 2775881.79 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0732, over 45357.85 utterances.], batch size: 210, lr: 7.14e-04
+2022-09-17 11:51:23,845 INFO [train.py:885] (0/2) Epoch 6, batch 4500, loss[loss=0.2316, simple_loss=0.2955, pruned_loss=0.08386, over 14088.00 frames. utt_duration=806.7 frames, utt_pad_proportion=0.05866, over 70.00 utterances.], tot_loss[loss=0.3412, simple_loss=0.3904, pruned_loss=0.146, over 2783405.81 frames. utt_duration=247 frames, utt_pad_proportion=0.07063, over 45351.34 utterances.], batch size: 70, lr: 7.14e-04
+2022-09-17 11:51:53,912 INFO [train.py:885] (0/2) Epoch 6, batch 4550, loss[loss=0.3159, simple_loss=0.3778, pruned_loss=0.127, over 14323.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03679, over 130.00 utterances.], tot_loss[loss=0.3405, simple_loss=0.3893, pruned_loss=0.1458, over 2783701.69 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06934, over 44932.40 utterances.], batch size: 130, lr: 7.14e-04
+2022-09-17 11:52:23,639 INFO [train.py:885] (0/2) Epoch 6, batch 4600, loss[loss=0.3613, simple_loss=0.4376, pruned_loss=0.1425, over 14024.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05304, over 367.00 utterances.], tot_loss[loss=0.3393, simple_loss=0.3886, pruned_loss=0.145, over 2786962.47 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06884, over 44561.29 utterances.], batch size: 367, lr: 7.14e-04
+2022-09-17 11:52:52,888 INFO [train.py:885] (0/2) Epoch 6, batch 4650, loss[loss=0.3375, simple_loss=0.3831, pruned_loss=0.1459, over 14293.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04272, over 141.00 utterances.], tot_loss[loss=0.3397, simple_loss=0.389, pruned_loss=0.1452, over 2783857.76 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06993, over 45033.47 utterances.], batch size: 141, lr: 7.13e-04
+2022-09-17 11:53:22,586 INFO [train.py:885] (0/2) Epoch 6, batch 4700, loss[loss=0.2756, simple_loss=0.3198, pruned_loss=0.1156, over 13552.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08462, over 50.00 utterances.], tot_loss[loss=0.3367, simple_loss=0.3864, pruned_loss=0.1435, over 2780416.93 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07071, over 44552.79 utterances.], batch size: 50, lr: 7.13e-04
+2022-09-17 11:53:51,770 INFO [train.py:885] (0/2) Epoch 6, batch 4750, loss[loss=0.4353, simple_loss=0.4948, pruned_loss=0.1879, over 13708.00 frames. utt_duration=116.4 frames, utt_pad_proportion=0.07602, over 477.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.3848, pruned_loss=0.1424, over 2782684.29 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06978, over 43612.73 utterances.], batch size: 477, lr: 7.13e-04
+2022-09-17 11:54:21,396 INFO [train.py:885] (0/2) Epoch 6, batch 4800, loss[loss=0.4255, simple_loss=0.4348, pruned_loss=0.2081, over 14240.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04631, over 141.00 utterances.], tot_loss[loss=0.335, simple_loss=0.3847, pruned_loss=0.1427, over 2784241.09 frames. utt_duration=260.6 frames, utt_pad_proportion=0.06822, over 42985.28 utterances.], batch size: 141, lr: 7.13e-04
+2022-09-17 11:54:51,165 INFO [train.py:885] (0/2) Epoch 6, batch 4850, loss[loss=0.4043, simple_loss=0.4344, pruned_loss=0.1871, over 14318.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03818, over 210.00 utterances.], tot_loss[loss=0.341, simple_loss=0.3896, pruned_loss=0.1462, over 2782271.38 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06866, over 44485.70 utterances.], batch size: 210, lr: 7.12e-04
+2022-09-17 11:55:20,128 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-68000.pt
+2022-09-17 11:55:20,641 INFO [train.py:885] (0/2) Epoch 6, batch 4900, loss[loss=0.278, simple_loss=0.3378, pruned_loss=0.1091, over 14287.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04096, over 120.00 utterances.], tot_loss[loss=0.3408, simple_loss=0.3895, pruned_loss=0.1461, over 2778957.04 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06904, over 44717.33 utterances.], batch size: 120, lr: 7.12e-04
+2022-09-17 11:55:50,778 INFO [train.py:885] (0/2) Epoch 6, batch 4950, loss[loss=0.2136, simple_loss=0.2775, pruned_loss=0.07484, over 12274.00 frames. utt_duration=2047 frames, utt_pad_proportion=0.1675, over 24.00 utterances.], tot_loss[loss=0.3455, simple_loss=0.3945, pruned_loss=0.1483, over 2774953.45 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07179, over 47344.38 utterances.], batch size: 24, lr: 7.12e-04
+2022-09-17 11:56:20,177 INFO [train.py:885] (0/2) Epoch 6, batch 5000, loss[loss=0.2195, simple_loss=0.2905, pruned_loss=0.0743, over 13899.00 frames. utt_duration=807.2 frames, utt_pad_proportion=0.05925, over 69.00 utterances.], tot_loss[loss=0.3436, simple_loss=0.3921, pruned_loss=0.1475, over 2778801.47 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06945, over 45740.73 utterances.], batch size: 69, lr: 7.12e-04
+2022-09-17 11:56:49,879 INFO [train.py:885] (0/2) Epoch 6, batch 5050, loss[loss=0.1912, simple_loss=0.2507, pruned_loss=0.06579, over 13569.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.08822, over 42.00 utterances.], tot_loss[loss=0.3423, simple_loss=0.3909, pruned_loss=0.1469, over 2778779.76 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07016, over 45334.46 utterances.], batch size: 42, lr: 7.11e-04
+2022-09-17 11:57:19,138 INFO [train.py:885] (0/2) Epoch 6, batch 5100, loss[loss=0.448, simple_loss=0.4709, pruned_loss=0.2125, over 14235.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04251, over 335.00 utterances.], tot_loss[loss=0.3407, simple_loss=0.3896, pruned_loss=0.146, over 2778252.87 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07056, over 45225.03 utterances.], batch size: 335, lr: 7.11e-04
+2022-09-17 11:57:48,740 INFO [train.py:885] (0/2) Epoch 6, batch 5150, loss[loss=0.5064, simple_loss=0.5058, pruned_loss=0.2535, over 14316.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03849, over 283.00 utterances.], tot_loss[loss=0.3405, simple_loss=0.3896, pruned_loss=0.1457, over 2782149.35 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06919, over 45248.82 utterances.], batch size: 283, lr: 7.11e-04
+2022-09-17 11:58:18,519 INFO [train.py:885] (0/2) Epoch 6, batch 5200, loss[loss=0.2281, simple_loss=0.2862, pruned_loss=0.08501, over 14100.00 frames. utt_duration=807.1 frames, utt_pad_proportion=0.05384, over 70.00 utterances.], tot_loss[loss=0.3377, simple_loss=0.3868, pruned_loss=0.1443, over 2780540.36 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07084, over 44548.85 utterances.], batch size: 70, lr: 7.10e-04
+2022-09-17 11:58:47,611 INFO [train.py:885] (0/2) Epoch 6, batch 5250, loss[loss=0.2982, simple_loss=0.3478, pruned_loss=0.1243, over 14148.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04585, over 109.00 utterances.], tot_loss[loss=0.3332, simple_loss=0.3828, pruned_loss=0.1418, over 2782286.36 frames. utt_duration=258.8 frames, utt_pad_proportion=0.0698, over 43257.10 utterances.], batch size: 109, lr: 7.10e-04
+2022-09-17 11:59:17,869 INFO [train.py:885] (0/2) Epoch 6, batch 5300, loss[loss=0.4499, simple_loss=0.4648, pruned_loss=0.2175, over 14232.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04374, over 335.00 utterances.], tot_loss[loss=0.3395, simple_loss=0.3888, pruned_loss=0.1451, over 2781080.61 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07112, over 45992.97 utterances.], batch size: 335, lr: 7.10e-04
+2022-09-17 11:59:46,232 INFO [train.py:885] (0/2) Epoch 6, batch 5350, loss[loss=0.4317, simple_loss=0.4564, pruned_loss=0.2035, over 14238.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04293, over 335.00 utterances.], tot_loss[loss=0.3364, simple_loss=0.3859, pruned_loss=0.1435, over 2783853.14 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06948, over 44850.14 utterances.], batch size: 335, lr: 7.10e-04
+2022-09-17 12:00:16,085 INFO [train.py:885] (0/2) Epoch 6, batch 5400, loss[loss=0.3068, simple_loss=0.3658, pruned_loss=0.1239, over 14286.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03953, over 154.00 utterances.], tot_loss[loss=0.3348, simple_loss=0.3846, pruned_loss=0.1425, over 2780142.20 frames. utt_duration=252 frames, utt_pad_proportion=0.07211, over 44393.27 utterances.], batch size: 154, lr: 7.09e-04
+2022-09-17 12:00:45,521 INFO [train.py:885] (0/2) Epoch 6, batch 5450, loss[loss=0.3427, simple_loss=0.3934, pruned_loss=0.146, over 14341.00 frames. utt_duration=320.1 frames, utt_pad_proportion=0.03599, over 180.00 utterances.], tot_loss[loss=0.3323, simple_loss=0.382, pruned_loss=0.1413, over 2780132.41 frames. utt_duration=257.9 frames, utt_pad_proportion=0.0715, over 43361.86 utterances.], batch size: 180, lr: 7.09e-04
+2022-09-17 12:01:16,003 INFO [train.py:885] (0/2) Epoch 6, batch 5500, loss[loss=0.3621, simple_loss=0.4128, pruned_loss=0.1557, over 14344.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.0371, over 283.00 utterances.], tot_loss[loss=0.3407, simple_loss=0.3891, pruned_loss=0.1462, over 2783538.52 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07129, over 44864.64 utterances.], batch size: 283, lr: 7.09e-04
+2022-09-17 12:01:45,182 INFO [train.py:885] (0/2) Epoch 6, batch 5550, loss[loss=0.334, simple_loss=0.391, pruned_loss=0.1385, over 14253.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04206, over 225.00 utterances.], tot_loss[loss=0.3401, simple_loss=0.389, pruned_loss=0.1456, over 2784323.92 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07034, over 44799.48 utterances.], batch size: 225, lr: 7.09e-04
+2022-09-17 12:02:14,587 INFO [train.py:885] (0/2) Epoch 6, batch 5600, loss[loss=0.3315, simple_loss=0.3989, pruned_loss=0.132, over 14304.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.03877, over 226.00 utterances.], tot_loss[loss=0.3418, simple_loss=0.3914, pruned_loss=0.1461, over 2782300.06 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07113, over 45863.29 utterances.], batch size: 226, lr: 7.08e-04
+2022-09-17 12:02:44,250 INFO [train.py:885] (0/2) Epoch 6, batch 5650, loss[loss=0.2977, simple_loss=0.3593, pruned_loss=0.1181, over 14305.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03811, over 130.00 utterances.], tot_loss[loss=0.3424, simple_loss=0.3913, pruned_loss=0.1468, over 2781454.66 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07125, over 45146.14 utterances.], batch size: 130, lr: 7.08e-04
+2022-09-17 12:03:13,323 INFO [train.py:885] (0/2) Epoch 6, batch 5700, loss[loss=0.2139, simple_loss=0.2705, pruned_loss=0.07867, over 13931.00 frames. utt_duration=930.1 frames, utt_pad_proportion=0.06615, over 60.00 utterances.], tot_loss[loss=0.3382, simple_loss=0.3874, pruned_loss=0.1446, over 2783515.18 frames. utt_duration=256.7 frames, utt_pad_proportion=0.0695, over 43627.27 utterances.], batch size: 60, lr: 7.08e-04
+2022-09-17 12:03:43,332 INFO [train.py:885] (0/2) Epoch 6, batch 5750, loss[loss=0.3411, simple_loss=0.4365, pruned_loss=0.1228, over 13633.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08146, over 477.00 utterances.], tot_loss[loss=0.3402, simple_loss=0.3893, pruned_loss=0.1455, over 2778095.06 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07191, over 44398.46 utterances.], batch size: 477, lr: 7.08e-04
+2022-09-17 12:04:12,828 INFO [train.py:885] (0/2) Epoch 6, batch 5800, loss[loss=0.2892, simple_loss=0.3351, pruned_loss=0.1216, over 13948.00 frames. utt_duration=707.6 frames, utt_pad_proportion=0.06151, over 79.00 utterances.], tot_loss[loss=0.3438, simple_loss=0.3932, pruned_loss=0.1472, over 2777804.80 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07412, over 46801.27 utterances.], batch size: 79, lr: 7.07e-04
+2022-09-17 12:04:42,449 INFO [train.py:885] (0/2) Epoch 6, batch 5850, loss[loss=0.3803, simple_loss=0.427, pruned_loss=0.1668, over 14277.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04119, over 283.00 utterances.], tot_loss[loss=0.3476, simple_loss=0.3972, pruned_loss=0.149, over 2785038.89 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07123, over 48042.33 utterances.], batch size: 283, lr: 7.07e-04
+2022-09-17 12:05:11,710 INFO [train.py:885] (0/2) Epoch 6, batch 5900, loss[loss=0.4062, simple_loss=0.4304, pruned_loss=0.191, over 14407.00 frames. utt_duration=346.5 frames, utt_pad_proportion=0.03491, over 167.00 utterances.], tot_loss[loss=0.3484, simple_loss=0.3975, pruned_loss=0.1497, over 2785442.34 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07229, over 47992.51 utterances.], batch size: 167, lr: 7.07e-04
+2022-09-17 12:05:41,100 INFO [train.py:885] (0/2) Epoch 6, batch 5950, loss[loss=0.3395, simple_loss=0.3945, pruned_loss=0.1422, over 14221.00 frames. utt_duration=254.4 frames, utt_pad_proportion=0.04371, over 225.00 utterances.], tot_loss[loss=0.3422, simple_loss=0.3921, pruned_loss=0.1462, over 2787742.27 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06942, over 45531.62 utterances.], batch size: 225, lr: 7.07e-04
+2022-09-17 12:06:10,249 INFO [train.py:885] (0/2) Epoch 6, batch 6000, loss[loss=0.3024, simple_loss=0.3576, pruned_loss=0.1236, over 14192.00 frames. utt_duration=404 frames, utt_pad_proportion=0.04945, over 141.00 utterances.], tot_loss[loss=0.3408, simple_loss=0.3904, pruned_loss=0.1456, over 2789455.62 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06847, over 45051.19 utterances.], batch size: 141, lr: 7.06e-04
+2022-09-17 12:06:10,250 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 12:06:15,113 INFO [train.py:914] (0/2) Epoch 6, validation: loss=0.236, simple_loss=0.3, pruned_loss=0.08599, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 12:06:44,724 INFO [train.py:885] (0/2) Epoch 6, batch 6050, loss[loss=0.4427, simple_loss=0.4995, pruned_loss=0.193, over 13695.00 frames. utt_duration=99.19 frames, utt_pad_proportion=0.07296, over 560.00 utterances.], tot_loss[loss=0.3452, simple_loss=0.3944, pruned_loss=0.1479, over 2789096.65 frames. utt_duration=239.7 frames, utt_pad_proportion=0.06958, over 46828.12 utterances.], batch size: 560, lr: 7.06e-04
+2022-09-17 12:07:14,455 INFO [train.py:885] (0/2) Epoch 6, batch 6100, loss[loss=0.3321, simple_loss=0.3869, pruned_loss=0.1386, over 14365.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.0381, over 167.00 utterances.], tot_loss[loss=0.3442, simple_loss=0.393, pruned_loss=0.1477, over 2788963.02 frames. utt_duration=242.5 frames, utt_pad_proportion=0.06928, over 46283.26 utterances.], batch size: 167, lr: 7.06e-04
+2022-09-17 12:07:42,886 INFO [train.py:885] (0/2) Epoch 6, batch 6150, loss[loss=0.2693, simple_loss=0.3385, pruned_loss=0.1, over 14332.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03618, over 130.00 utterances.], tot_loss[loss=0.34, simple_loss=0.3895, pruned_loss=0.1453, over 2789107.80 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06719, over 44807.85 utterances.], batch size: 130, lr: 7.06e-04
+2022-09-17 12:08:13,083 INFO [train.py:885] (0/2) Epoch 6, batch 6200, loss[loss=0.4473, simple_loss=0.4758, pruned_loss=0.2094, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04052, over 225.00 utterances.], tot_loss[loss=0.3462, simple_loss=0.3957, pruned_loss=0.1484, over 2780767.81 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07085, over 47984.82 utterances.], batch size: 225, lr: 7.05e-04
+2022-09-17 12:08:42,960 INFO [train.py:885] (0/2) Epoch 6, batch 6250, loss[loss=0.2251, simple_loss=0.2803, pruned_loss=0.08488, over 13752.00 frames. utt_duration=918.2 frames, utt_pad_proportion=0.07528, over 60.00 utterances.], tot_loss[loss=0.3447, simple_loss=0.394, pruned_loss=0.1477, over 2774942.49 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07162, over 47474.81 utterances.], batch size: 60, lr: 7.05e-04
+2022-09-17 12:09:12,448 INFO [train.py:885] (0/2) Epoch 6, batch 6300, loss[loss=0.2823, simple_loss=0.327, pruned_loss=0.1188, over 14107.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05201, over 98.00 utterances.], tot_loss[loss=0.3455, simple_loss=0.3945, pruned_loss=0.1482, over 2779450.15 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07146, over 47491.44 utterances.], batch size: 98, lr: 7.05e-04
+2022-09-17 12:09:41,610 INFO [train.py:885] (0/2) Epoch 6, batch 6350, loss[loss=0.2395, simple_loss=0.2989, pruned_loss=0.09004, over 13159.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1157, over 33.00 utterances.], tot_loss[loss=0.3421, simple_loss=0.3912, pruned_loss=0.1465, over 2778152.26 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07022, over 46283.49 utterances.], batch size: 33, lr: 7.05e-04
+2022-09-17 12:10:11,188 INFO [train.py:885] (0/2) Epoch 6, batch 6400, loss[loss=0.5146, simple_loss=0.5052, pruned_loss=0.262, over 14234.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04319, over 335.00 utterances.], tot_loss[loss=0.341, simple_loss=0.3899, pruned_loss=0.1461, over 2778652.15 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06992, over 45170.02 utterances.], batch size: 335, lr: 7.04e-04
+2022-09-17 12:10:40,825 INFO [train.py:885] (0/2) Epoch 6, batch 6450, loss[loss=0.3486, simple_loss=0.3982, pruned_loss=0.1495, over 14363.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03526, over 195.00 utterances.], tot_loss[loss=0.3479, simple_loss=0.3958, pruned_loss=0.1501, over 2776884.62 frames. utt_duration=239.6 frames, utt_pad_proportion=0.0737, over 46653.91 utterances.], batch size: 195, lr: 7.04e-04
+2022-09-17 12:11:11,165 INFO [train.py:885] (0/2) Epoch 6, batch 6500, loss[loss=0.2247, simple_loss=0.2792, pruned_loss=0.08514, over 13434.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.09031, over 50.00 utterances.], tot_loss[loss=0.3454, simple_loss=0.3947, pruned_loss=0.1481, over 2775667.78 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07339, over 47570.30 utterances.], batch size: 50, lr: 7.04e-04
+2022-09-17 12:11:40,435 INFO [train.py:885] (0/2) Epoch 6, batch 6550, loss[loss=0.4089, simple_loss=0.4824, pruned_loss=0.1677, over 13613.00 frames. utt_duration=98.57 frames, utt_pad_proportion=0.07881, over 560.00 utterances.], tot_loss[loss=0.347, simple_loss=0.3955, pruned_loss=0.1492, over 2775540.65 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07255, over 47024.72 utterances.], batch size: 560, lr: 7.04e-04
+2022-09-17 12:12:09,955 INFO [train.py:885] (0/2) Epoch 6, batch 6600, loss[loss=0.1839, simple_loss=0.2331, pruned_loss=0.06732, over 12484.00 frames. utt_duration=2082 frames, utt_pad_proportion=0.161, over 24.00 utterances.], tot_loss[loss=0.3462, simple_loss=0.3932, pruned_loss=0.1496, over 2776776.73 frames. utt_duration=242.2 frames, utt_pad_proportion=0.0712, over 46147.80 utterances.], batch size: 24, lr: 7.03e-04
+2022-09-17 12:12:39,696 INFO [train.py:885] (0/2) Epoch 6, batch 6650, loss[loss=0.4299, simple_loss=0.4581, pruned_loss=0.2009, over 14211.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04388, over 306.00 utterances.], tot_loss[loss=0.3494, simple_loss=0.3967, pruned_loss=0.151, over 2778542.79 frames. utt_duration=234.7 frames, utt_pad_proportion=0.0726, over 47651.07 utterances.], batch size: 306, lr: 7.03e-04
+2022-09-17 12:13:08,367 INFO [train.py:885] (0/2) Epoch 6, batch 6700, loss[loss=0.3311, simple_loss=0.4083, pruned_loss=0.127, over 13977.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.0571, over 365.00 utterances.], tot_loss[loss=0.3464, simple_loss=0.394, pruned_loss=0.1494, over 2781185.69 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0711, over 46601.10 utterances.], batch size: 365, lr: 7.03e-04
+2022-09-17 12:13:37,510 INFO [train.py:885] (0/2) Epoch 6, batch 6750, loss[loss=0.2847, simple_loss=0.3395, pruned_loss=0.115, over 14280.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03953, over 130.00 utterances.], tot_loss[loss=0.35, simple_loss=0.3978, pruned_loss=0.1511, over 2780010.46 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07398, over 47797.46 utterances.], batch size: 130, lr: 7.03e-04
+2022-09-17 12:14:06,955 INFO [train.py:885] (0/2) Epoch 6, batch 6800, loss[loss=0.3113, simple_loss=0.3472, pruned_loss=0.1377, over 14217.00 frames. utt_duration=640.5 frames, utt_pad_proportion=0.04545, over 89.00 utterances.], tot_loss[loss=0.3511, simple_loss=0.3987, pruned_loss=0.1518, over 2781443.68 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07179, over 48007.53 utterances.], batch size: 89, lr: 7.02e-04
+2022-09-17 12:14:36,711 INFO [train.py:885] (0/2) Epoch 6, batch 6850, loss[loss=0.659, simple_loss=0.6885, pruned_loss=0.3147, over 12451.00 frames. utt_duration=63.04 frames, utt_pad_proportion=0.1482, over 810.00 utterances.], tot_loss[loss=0.3476, simple_loss=0.3958, pruned_loss=0.1497, over 2778403.46 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07271, over 46770.78 utterances.], batch size: 810, lr: 7.02e-04
+2022-09-17 12:15:05,705 INFO [train.py:885] (0/2) Epoch 6, batch 6900, loss[loss=0.3189, simple_loss=0.3738, pruned_loss=0.132, over 14327.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.0371, over 154.00 utterances.], tot_loss[loss=0.3498, simple_loss=0.3971, pruned_loss=0.1513, over 2781418.78 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07296, over 46725.05 utterances.], batch size: 154, lr: 7.02e-04
+2022-09-17 12:15:35,194 INFO [train.py:885] (0/2) Epoch 6, batch 6950, loss[loss=0.2514, simple_loss=0.3171, pruned_loss=0.09284, over 14209.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04764, over 89.00 utterances.], tot_loss[loss=0.3495, simple_loss=0.3972, pruned_loss=0.1509, over 2782578.13 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07288, over 47481.84 utterances.], batch size: 89, lr: 7.02e-04
+2022-09-17 12:16:05,007 INFO [train.py:885] (0/2) Epoch 6, batch 7000, loss[loss=0.4189, simple_loss=0.4486, pruned_loss=0.1946, over 14226.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.043, over 306.00 utterances.], tot_loss[loss=0.3438, simple_loss=0.3918, pruned_loss=0.1479, over 2779828.57 frames. utt_duration=246 frames, utt_pad_proportion=0.07114, over 45472.31 utterances.], batch size: 306, lr: 7.01e-04
+2022-09-17 12:16:34,162 INFO [train.py:885] (0/2) Epoch 6, batch 7050, loss[loss=0.3547, simple_loss=0.4054, pruned_loss=0.152, over 14341.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03386, over 244.00 utterances.], tot_loss[loss=0.346, simple_loss=0.3944, pruned_loss=0.1488, over 2779713.71 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07335, over 46982.66 utterances.], batch size: 244, lr: 7.01e-04
+2022-09-17 12:17:03,815 INFO [train.py:885] (0/2) Epoch 6, batch 7100, loss[loss=0.4678, simple_loss=0.5266, pruned_loss=0.2045, over 13239.00 frames. utt_duration=82.54 frames, utt_pad_proportion=0.1028, over 653.00 utterances.], tot_loss[loss=0.3422, simple_loss=0.3904, pruned_loss=0.147, over 2780007.93 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07301, over 45911.82 utterances.], batch size: 653, lr: 7.01e-04
+2022-09-17 12:17:32,964 INFO [train.py:885] (0/2) Epoch 6, batch 7150, loss[loss=0.2661, simple_loss=0.3246, pruned_loss=0.1038, over 14218.00 frames. utt_duration=581.6 frames, utt_pad_proportion=0.04492, over 98.00 utterances.], tot_loss[loss=0.3364, simple_loss=0.3856, pruned_loss=0.1436, over 2781662.47 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07132, over 44493.69 utterances.], batch size: 98, lr: 7.01e-04
+2022-09-17 12:18:02,758 INFO [train.py:885] (0/2) Epoch 6, batch 7200, loss[loss=0.2088, simple_loss=0.2371, pruned_loss=0.09021, over 12712.00 frames. utt_duration=2120 frames, utt_pad_proportion=0.1227, over 24.00 utterances.], tot_loss[loss=0.3339, simple_loss=0.3842, pruned_loss=0.1418, over 2784070.78 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07077, over 44939.61 utterances.], batch size: 24, lr: 7.00e-04
+2022-09-17 12:18:32,616 INFO [train.py:885] (0/2) Epoch 6, batch 7250, loss[loss=0.2498, simple_loss=0.2988, pruned_loss=0.1004, over 14104.00 frames. utt_duration=715.4 frames, utt_pad_proportion=0.04989, over 79.00 utterances.], tot_loss[loss=0.3392, simple_loss=0.389, pruned_loss=0.1446, over 2785493.93 frames. utt_duration=243.1 frames, utt_pad_proportion=0.06961, over 46119.36 utterances.], batch size: 79, lr: 7.00e-04
+2022-09-17 12:19:01,744 INFO [train.py:885] (0/2) Epoch 6, batch 7300, loss[loss=0.4379, simple_loss=0.4584, pruned_loss=0.2087, over 14232.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.0426, over 306.00 utterances.], tot_loss[loss=0.3409, simple_loss=0.3909, pruned_loss=0.1454, over 2784276.34 frames. utt_duration=240 frames, utt_pad_proportion=0.07152, over 46687.26 utterances.], batch size: 306, lr: 7.00e-04
+2022-09-17 12:19:31,490 INFO [train.py:885] (0/2) Epoch 6, batch 7350, loss[loss=0.3952, simple_loss=0.4691, pruned_loss=0.1606, over 13668.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07948, over 477.00 utterances.], tot_loss[loss=0.3413, simple_loss=0.3911, pruned_loss=0.1458, over 2781987.29 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07185, over 46665.58 utterances.], batch size: 477, lr: 7.00e-04
+2022-09-17 12:20:00,522 INFO [train.py:885] (0/2) Epoch 6, batch 7400, loss[loss=0.3243, simple_loss=0.3666, pruned_loss=0.141, over 14305.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.04128, over 120.00 utterances.], tot_loss[loss=0.3391, simple_loss=0.3893, pruned_loss=0.1444, over 2780781.82 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07255, over 45618.53 utterances.], batch size: 120, lr: 6.99e-04
+2022-09-17 12:20:30,180 INFO [train.py:885] (0/2) Epoch 6, batch 7450, loss[loss=0.211, simple_loss=0.2693, pruned_loss=0.07633, over 13275.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09458, over 41.00 utterances.], tot_loss[loss=0.3381, simple_loss=0.3887, pruned_loss=0.1438, over 2777187.60 frames. utt_duration=242.2 frames, utt_pad_proportion=0.0735, over 46143.10 utterances.], batch size: 41, lr: 6.99e-04
+2022-09-17 12:20:59,859 INFO [train.py:885] (0/2) Epoch 6, batch 7500, loss[loss=0.5399, simple_loss=0.5769, pruned_loss=0.2514, over 13643.00 frames. utt_duration=98.85 frames, utt_pad_proportion=0.07613, over 560.00 utterances.], tot_loss[loss=0.3397, simple_loss=0.3903, pruned_loss=0.1445, over 2775627.39 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07447, over 46482.46 utterances.], batch size: 560, lr: 6.99e-04
+2022-09-17 12:21:29,157 INFO [train.py:885] (0/2) Epoch 6, batch 7550, loss[loss=0.3523, simple_loss=0.4073, pruned_loss=0.1486, over 14392.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03093, over 244.00 utterances.], tot_loss[loss=0.3439, simple_loss=0.3943, pruned_loss=0.1467, over 2774752.52 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07505, over 47990.22 utterances.], batch size: 244, lr: 6.99e-04
+2022-09-17 12:22:07,435 INFO [train.py:885] (0/2) Epoch 6, batch 7600, loss[loss=0.299, simple_loss=0.3597, pruned_loss=0.1192, over 14210.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04854, over 141.00 utterances.], tot_loss[loss=0.3421, simple_loss=0.3926, pruned_loss=0.1458, over 2777132.78 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07221, over 46754.71 utterances.], batch size: 141, lr: 6.98e-04
+2022-09-17 12:22:36,339 INFO [train.py:885] (0/2) Epoch 6, batch 7650, loss[loss=0.3728, simple_loss=0.4097, pruned_loss=0.168, over 14304.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03937, over 283.00 utterances.], tot_loss[loss=0.3403, simple_loss=0.3913, pruned_loss=0.1446, over 2781910.71 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0714, over 46767.81 utterances.], batch size: 283, lr: 6.98e-04
+2022-09-17 12:23:06,001 INFO [train.py:885] (0/2) Epoch 6, batch 7700, loss[loss=0.3617, simple_loss=0.4311, pruned_loss=0.1461, over 13983.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05643, over 365.00 utterances.], tot_loss[loss=0.3401, simple_loss=0.3904, pruned_loss=0.1449, over 2781375.91 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07007, over 46289.51 utterances.], batch size: 365, lr: 6.98e-04
+2022-09-17 12:23:35,245 INFO [train.py:885] (0/2) Epoch 6, batch 7750, loss[loss=0.4499, simple_loss=0.468, pruned_loss=0.2159, over 14207.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04421, over 335.00 utterances.], tot_loss[loss=0.3407, simple_loss=0.3912, pruned_loss=0.1451, over 2784645.35 frames. utt_duration=240.4 frames, utt_pad_proportion=0.06914, over 46625.13 utterances.], batch size: 335, lr: 6.98e-04
+2022-09-17 12:24:05,281 INFO [train.py:885] (0/2) Epoch 6, batch 7800, loss[loss=0.3651, simple_loss=0.4348, pruned_loss=0.1477, over 13787.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07046, over 411.00 utterances.], tot_loss[loss=0.3411, simple_loss=0.391, pruned_loss=0.1455, over 2784180.35 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06893, over 46070.34 utterances.], batch size: 411, lr: 6.97e-04
+2022-09-17 12:24:35,336 INFO [train.py:885] (0/2) Epoch 6, batch 7850, loss[loss=0.3084, simple_loss=0.3667, pruned_loss=0.125, over 14221.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04756, over 141.00 utterances.], tot_loss[loss=0.3411, simple_loss=0.3916, pruned_loss=0.1453, over 2786152.23 frames. utt_duration=238.3 frames, utt_pad_proportion=0.06844, over 47068.65 utterances.], batch size: 141, lr: 6.97e-04
+2022-09-17 12:25:04,103 INFO [train.py:885] (0/2) Epoch 6, batch 7900, loss[loss=0.3581, simple_loss=0.4347, pruned_loss=0.1407, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07106, over 411.00 utterances.], tot_loss[loss=0.3368, simple_loss=0.3874, pruned_loss=0.143, over 2789197.86 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06702, over 45487.18 utterances.], batch size: 411, lr: 6.97e-04
+2022-09-17 12:25:33,635 INFO [train.py:885] (0/2) Epoch 6, batch 7950, loss[loss=0.3344, simple_loss=0.3842, pruned_loss=0.1423, over 14239.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04683, over 141.00 utterances.], tot_loss[loss=0.3331, simple_loss=0.3838, pruned_loss=0.1412, over 2784461.09 frames. utt_duration=251.1 frames, utt_pad_proportion=0.0677, over 44610.35 utterances.], batch size: 141, lr: 6.97e-04
+2022-09-17 12:26:02,785 INFO [train.py:885] (0/2) Epoch 6, batch 8000, loss[loss=0.3141, simple_loss=0.3808, pruned_loss=0.1237, over 14331.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03745, over 195.00 utterances.], tot_loss[loss=0.3292, simple_loss=0.3801, pruned_loss=0.1392, over 2785866.67 frames. utt_duration=259.5 frames, utt_pad_proportion=0.06625, over 43179.70 utterances.], batch size: 195, lr: 6.96e-04
+2022-09-17 12:26:32,248 INFO [train.py:885] (0/2) Epoch 6, batch 8050, loss[loss=0.3754, simple_loss=0.4557, pruned_loss=0.1475, over 13576.00 frames. utt_duration=98.39 frames, utt_pad_proportion=0.08046, over 560.00 utterances.], tot_loss[loss=0.3273, simple_loss=0.3792, pruned_loss=0.1377, over 2787846.00 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06625, over 42899.73 utterances.], batch size: 560, lr: 6.96e-04
+2022-09-17 12:27:01,787 INFO [train.py:885] (0/2) Epoch 6, batch 8100, loss[loss=0.2651, simple_loss=0.3241, pruned_loss=0.103, over 13751.00 frames. utt_duration=798.7 frames, utt_pad_proportion=0.0702, over 69.00 utterances.], tot_loss[loss=0.3225, simple_loss=0.3752, pruned_loss=0.1349, over 2784617.63 frames. utt_duration=267.1 frames, utt_pad_proportion=0.06644, over 41930.66 utterances.], batch size: 69, lr: 6.96e-04
+2022-09-17 12:27:30,782 INFO [train.py:885] (0/2) Epoch 6, batch 8150, loss[loss=0.2134, simple_loss=0.2789, pruned_loss=0.07394, over 13814.00 frames. utt_duration=802.3 frames, utt_pad_proportion=0.0671, over 69.00 utterances.], tot_loss[loss=0.3242, simple_loss=0.3758, pruned_loss=0.1363, over 2784548.00 frames. utt_duration=271.1 frames, utt_pad_proportion=0.0659, over 41305.67 utterances.], batch size: 69, lr: 6.96e-04
+2022-09-17 12:28:00,254 INFO [train.py:885] (0/2) Epoch 6, batch 8200, loss[loss=0.3604, simple_loss=0.4165, pruned_loss=0.1521, over 14306.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.03591, over 262.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3769, pruned_loss=0.1373, over 2782894.83 frames. utt_duration=266.9 frames, utt_pad_proportion=0.06696, over 41937.01 utterances.], batch size: 262, lr: 6.95e-04
+2022-09-17 12:28:29,357 INFO [train.py:885] (0/2) Epoch 6, batch 8250, loss[loss=0.3635, simple_loss=0.4138, pruned_loss=0.1566, over 14321.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03852, over 283.00 utterances.], tot_loss[loss=0.3297, simple_loss=0.3805, pruned_loss=0.1394, over 2784177.62 frames. utt_duration=258.6 frames, utt_pad_proportion=0.0691, over 43305.72 utterances.], batch size: 283, lr: 6.95e-04
+2022-09-17 12:28:59,021 INFO [train.py:885] (0/2) Epoch 6, batch 8300, loss[loss=0.4715, simple_loss=0.483, pruned_loss=0.23, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04334, over 335.00 utterances.], tot_loss[loss=0.3327, simple_loss=0.3823, pruned_loss=0.1416, over 2783506.63 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06861, over 43171.33 utterances.], batch size: 335, lr: 6.95e-04
+2022-09-17 12:29:28,888 INFO [train.py:885] (0/2) Epoch 6, batch 8350, loss[loss=0.3486, simple_loss=0.3988, pruned_loss=0.1492, over 14352.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03607, over 210.00 utterances.], tot_loss[loss=0.3363, simple_loss=0.3853, pruned_loss=0.1437, over 2782319.97 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06865, over 43940.81 utterances.], batch size: 210, lr: 6.95e-04
+2022-09-17 12:29:59,097 INFO [train.py:885] (0/2) Epoch 6, batch 8400, loss[loss=0.2602, simple_loss=0.3073, pruned_loss=0.1066, over 13774.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.07881, over 42.00 utterances.], tot_loss[loss=0.34, simple_loss=0.3889, pruned_loss=0.1456, over 2777608.67 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07104, over 45608.92 utterances.], batch size: 42, lr: 6.94e-04
+2022-09-17 12:30:27,709 INFO [train.py:885] (0/2) Epoch 6, batch 8450, loss[loss=0.2142, simple_loss=0.2721, pruned_loss=0.07814, over 12126.00 frames. utt_duration=2023 frames, utt_pad_proportion=0.1754, over 24.00 utterances.], tot_loss[loss=0.3349, simple_loss=0.3836, pruned_loss=0.1431, over 2777313.12 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06984, over 43560.48 utterances.], batch size: 24, lr: 6.94e-04
+2022-09-17 12:30:57,699 INFO [train.py:885] (0/2) Epoch 6, batch 8500, loss[loss=0.479, simple_loss=0.4917, pruned_loss=0.2332, over 14253.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04204, over 335.00 utterances.], tot_loss[loss=0.3367, simple_loss=0.3859, pruned_loss=0.1438, over 2776898.83 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07059, over 44576.33 utterances.], batch size: 335, lr: 6.94e-04
+2022-09-17 12:31:27,420 INFO [train.py:885] (0/2) Epoch 6, batch 8550, loss[loss=0.3896, simple_loss=0.4313, pruned_loss=0.174, over 14198.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04467, over 306.00 utterances.], tot_loss[loss=0.3364, simple_loss=0.3862, pruned_loss=0.1433, over 2776025.91 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07126, over 45314.17 utterances.], batch size: 306, lr: 6.94e-04
+2022-09-17 12:31:56,699 INFO [train.py:885] (0/2) Epoch 6, batch 8600, loss[loss=0.2389, simple_loss=0.2989, pruned_loss=0.08947, over 14054.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05556, over 98.00 utterances.], tot_loss[loss=0.3375, simple_loss=0.3861, pruned_loss=0.1444, over 2779439.47 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06948, over 44413.24 utterances.], batch size: 98, lr: 6.94e-04
+2022-09-17 12:32:26,117 INFO [train.py:885] (0/2) Epoch 6, batch 8650, loss[loss=0.3874, simple_loss=0.4262, pruned_loss=0.1743, over 14242.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04272, over 335.00 utterances.], tot_loss[loss=0.3361, simple_loss=0.3859, pruned_loss=0.1431, over 2784803.62 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06851, over 44652.44 utterances.], batch size: 335, lr: 6.93e-04
+2022-09-17 12:32:55,128 INFO [train.py:885] (0/2) Epoch 6, batch 8700, loss[loss=0.3615, simple_loss=0.407, pruned_loss=0.158, over 14361.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03745, over 244.00 utterances.], tot_loss[loss=0.3411, simple_loss=0.3896, pruned_loss=0.1463, over 2788249.90 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06637, over 44858.75 utterances.], batch size: 244, lr: 6.93e-04
+2022-09-17 12:33:25,298 INFO [train.py:885] (0/2) Epoch 6, batch 8750, loss[loss=0.2558, simple_loss=0.3196, pruned_loss=0.09595, over 14171.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04515, over 109.00 utterances.], tot_loss[loss=0.3423, simple_loss=0.3917, pruned_loss=0.1464, over 2784116.40 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07112, over 46797.35 utterances.], batch size: 109, lr: 6.93e-04
+2022-09-17 12:33:54,566 INFO [train.py:885] (0/2) Epoch 6, batch 8800, loss[loss=0.4401, simple_loss=0.4703, pruned_loss=0.2049, over 14243.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04251, over 225.00 utterances.], tot_loss[loss=0.3423, simple_loss=0.3918, pruned_loss=0.1464, over 2788164.68 frames. utt_duration=241.4 frames, utt_pad_proportion=0.06976, over 46488.27 utterances.], batch size: 225, lr: 6.93e-04
+2022-09-17 12:34:23,735 INFO [train.py:885] (0/2) Epoch 6, batch 8850, loss[loss=0.545, simple_loss=0.6099, pruned_loss=0.24, over 12562.00 frames. utt_duration=63.59 frames, utt_pad_proportion=0.1406, over 810.00 utterances.], tot_loss[loss=0.3434, simple_loss=0.3932, pruned_loss=0.1468, over 2784885.23 frames. utt_duration=237 frames, utt_pad_proportion=0.07193, over 47305.34 utterances.], batch size: 810, lr: 6.92e-04
+2022-09-17 12:34:52,390 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-72000.pt
+2022-09-17 12:34:52,871 INFO [train.py:885] (0/2) Epoch 6, batch 8900, loss[loss=0.4442, simple_loss=0.4844, pruned_loss=0.2019, over 13966.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05819, over 365.00 utterances.], tot_loss[loss=0.34, simple_loss=0.3899, pruned_loss=0.1451, over 2786178.78 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06941, over 45246.98 utterances.], batch size: 365, lr: 6.92e-04
+2022-09-17 12:35:22,652 INFO [train.py:885] (0/2) Epoch 6, batch 8950, loss[loss=0.3824, simple_loss=0.4232, pruned_loss=0.1708, over 14348.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03885, over 167.00 utterances.], tot_loss[loss=0.3395, simple_loss=0.3895, pruned_loss=0.1448, over 2784034.39 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06953, over 44902.51 utterances.], batch size: 167, lr: 6.92e-04
+2022-09-17 12:35:51,963 INFO [train.py:885] (0/2) Epoch 6, batch 9000, loss[loss=0.346, simple_loss=0.3965, pruned_loss=0.1478, over 14288.00 frames. utt_duration=254.4 frames, utt_pad_proportion=0.03996, over 226.00 utterances.], tot_loss[loss=0.3374, simple_loss=0.3874, pruned_loss=0.1436, over 2785597.07 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07044, over 44778.74 utterances.], batch size: 226, lr: 6.92e-04
+2022-09-17 12:35:51,964 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 12:35:56,502 INFO [train.py:914] (0/2) Epoch 6, validation: loss=0.2205, simple_loss=0.2927, pruned_loss=0.07412, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 12:36:25,809 INFO [train.py:885] (0/2) Epoch 6, batch 9050, loss[loss=0.2348, simple_loss=0.2678, pruned_loss=0.1009, over 12776.00 frames. utt_duration=2046 frames, utt_pad_proportion=0.1204, over 25.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.383, pruned_loss=0.141, over 2782390.70 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06802, over 43294.35 utterances.], batch size: 25, lr: 6.91e-04
+2022-09-17 12:36:55,748 INFO [train.py:885] (0/2) Epoch 6, batch 9100, loss[loss=0.2402, simple_loss=0.3073, pruned_loss=0.0866, over 13789.00 frames. utt_duration=801 frames, utt_pad_proportion=0.0675, over 69.00 utterances.], tot_loss[loss=0.3357, simple_loss=0.3859, pruned_loss=0.1428, over 2781431.11 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06881, over 44657.33 utterances.], batch size: 69, lr: 6.91e-04
+2022-09-17 12:37:25,304 INFO [train.py:885] (0/2) Epoch 6, batch 9150, loss[loss=0.334, simple_loss=0.3917, pruned_loss=0.1381, over 14331.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03717, over 195.00 utterances.], tot_loss[loss=0.3332, simple_loss=0.384, pruned_loss=0.1412, over 2781158.01 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06907, over 44365.09 utterances.], batch size: 195, lr: 6.91e-04
+2022-09-17 12:37:54,862 INFO [train.py:885] (0/2) Epoch 6, batch 9200, loss[loss=0.3118, simple_loss=0.362, pruned_loss=0.1308, over 14344.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03918, over 167.00 utterances.], tot_loss[loss=0.3326, simple_loss=0.3844, pruned_loss=0.1404, over 2780039.87 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06929, over 44545.91 utterances.], batch size: 167, lr: 6.91e-04
+2022-09-17 12:38:24,750 INFO [train.py:885] (0/2) Epoch 6, batch 9250, loss[loss=0.3019, simple_loss=0.3566, pruned_loss=0.1236, over 14332.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03642, over 130.00 utterances.], tot_loss[loss=0.3342, simple_loss=0.3856, pruned_loss=0.1414, over 2782100.37 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06845, over 44981.75 utterances.], batch size: 130, lr: 6.90e-04
+2022-09-17 12:38:53,881 INFO [train.py:885] (0/2) Epoch 6, batch 9300, loss[loss=0.1866, simple_loss=0.2362, pruned_loss=0.06849, over 13411.00 frames. utt_duration=1627 frames, utt_pad_proportion=0.09953, over 33.00 utterances.], tot_loss[loss=0.3343, simple_loss=0.3852, pruned_loss=0.1417, over 2783905.26 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06861, over 44585.33 utterances.], batch size: 33, lr: 6.90e-04
+2022-09-17 12:39:23,571 INFO [train.py:885] (0/2) Epoch 6, batch 9350, loss[loss=0.1952, simple_loss=0.2337, pruned_loss=0.07836, over 13508.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.09157, over 50.00 utterances.], tot_loss[loss=0.3318, simple_loss=0.3827, pruned_loss=0.1405, over 2784158.11 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06721, over 43133.22 utterances.], batch size: 50, lr: 6.90e-04
+2022-09-17 12:39:53,253 INFO [train.py:885] (0/2) Epoch 6, batch 9400, loss[loss=0.3791, simple_loss=0.4382, pruned_loss=0.16, over 14013.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05438, over 365.00 utterances.], tot_loss[loss=0.3295, simple_loss=0.3803, pruned_loss=0.1394, over 2784412.09 frames. utt_duration=267.7 frames, utt_pad_proportion=0.06692, over 41832.26 utterances.], batch size: 365, lr: 6.90e-04
+2022-09-17 12:40:22,274 INFO [train.py:885] (0/2) Epoch 6, batch 9450, loss[loss=0.1845, simple_loss=0.2238, pruned_loss=0.07258, over 13610.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.08745, over 42.00 utterances.], tot_loss[loss=0.3242, simple_loss=0.3753, pruned_loss=0.1366, over 2781125.85 frames. utt_duration=276.2 frames, utt_pad_proportion=0.06677, over 40499.43 utterances.], batch size: 42, lr: 6.89e-04
+2022-09-17 12:40:52,257 INFO [train.py:885] (0/2) Epoch 6, batch 9500, loss[loss=0.3875, simple_loss=0.4563, pruned_loss=0.1593, over 13755.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07199, over 411.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3799, pruned_loss=0.1386, over 2780219.61 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06861, over 42787.78 utterances.], batch size: 411, lr: 6.89e-04
+2022-09-17 12:41:21,836 INFO [train.py:885] (0/2) Epoch 6, batch 9550, loss[loss=0.2878, simple_loss=0.3334, pruned_loss=0.1211, over 13997.00 frames. utt_duration=572.7 frames, utt_pad_proportion=0.05953, over 98.00 utterances.], tot_loss[loss=0.3344, simple_loss=0.3854, pruned_loss=0.1417, over 2778566.06 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07068, over 45046.48 utterances.], batch size: 98, lr: 6.89e-04
+2022-09-17 12:41:51,376 INFO [train.py:885] (0/2) Epoch 6, batch 9600, loss[loss=0.2538, simple_loss=0.3152, pruned_loss=0.09623, over 14103.00 frames. utt_duration=519.2 frames, utt_pad_proportion=0.04915, over 109.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.387, pruned_loss=0.1436, over 2781915.86 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06993, over 44991.84 utterances.], batch size: 109, lr: 6.89e-04
+2022-09-17 12:42:20,904 INFO [train.py:885] (0/2) Epoch 6, batch 9650, loss[loss=0.2477, simple_loss=0.3118, pruned_loss=0.09178, over 13971.00 frames. utt_duration=709 frames, utt_pad_proportion=0.06091, over 79.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.385, pruned_loss=0.1422, over 2781881.90 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07044, over 44812.95 utterances.], batch size: 79, lr: 6.89e-04
+2022-09-17 12:42:50,267 INFO [train.py:885] (0/2) Epoch 6, batch 9700, loss[loss=0.2138, simple_loss=0.2651, pruned_loss=0.08125, over 13418.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08275, over 41.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3822, pruned_loss=0.1402, over 2778704.86 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07144, over 43743.40 utterances.], batch size: 41, lr: 6.88e-04
+2022-09-17 12:43:19,888 INFO [train.py:885] (0/2) Epoch 6, batch 9750, loss[loss=0.4655, simple_loss=0.4748, pruned_loss=0.2281, over 14199.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0444, over 306.00 utterances.], tot_loss[loss=0.3345, simple_loss=0.385, pruned_loss=0.142, over 2782224.35 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07044, over 44373.02 utterances.], batch size: 306, lr: 6.88e-04
+2022-09-17 12:43:48,953 INFO [train.py:885] (0/2) Epoch 6, batch 9800, loss[loss=0.3642, simple_loss=0.4321, pruned_loss=0.1482, over 14031.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05361, over 365.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.3852, pruned_loss=0.1421, over 2785041.27 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06875, over 44398.25 utterances.], batch size: 365, lr: 6.88e-04
+2022-09-17 12:44:18,726 INFO [train.py:885] (0/2) Epoch 6, batch 9850, loss[loss=0.5525, simple_loss=0.5947, pruned_loss=0.2552, over 13123.00 frames. utt_duration=81.92 frames, utt_pad_proportion=0.1095, over 653.00 utterances.], tot_loss[loss=0.335, simple_loss=0.3863, pruned_loss=0.1419, over 2786312.67 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06885, over 45037.82 utterances.], batch size: 653, lr: 6.88e-04
+2022-09-17 12:44:48,352 INFO [train.py:885] (0/2) Epoch 6, batch 9900, loss[loss=0.2541, simple_loss=0.3031, pruned_loss=0.1025, over 13126.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.104, over 33.00 utterances.], tot_loss[loss=0.3329, simple_loss=0.3834, pruned_loss=0.1412, over 2785150.06 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06902, over 43437.62 utterances.], batch size: 33, lr: 6.87e-04
+2022-09-17 12:45:17,495 INFO [train.py:885] (0/2) Epoch 6, batch 9950, loss[loss=0.4788, simple_loss=0.4829, pruned_loss=0.2373, over 14219.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04451, over 335.00 utterances.], tot_loss[loss=0.3306, simple_loss=0.3811, pruned_loss=0.14, over 2785943.71 frames. utt_duration=266.4 frames, utt_pad_proportion=0.06634, over 42070.86 utterances.], batch size: 335, lr: 6.87e-04
+2022-09-17 12:45:47,566 INFO [train.py:885] (0/2) Epoch 6, batch 10000, loss[loss=0.2643, simple_loss=0.3136, pruned_loss=0.1075, over 14081.00 frames. utt_duration=714.5 frames, utt_pad_proportion=0.0549, over 79.00 utterances.], tot_loss[loss=0.3361, simple_loss=0.3864, pruned_loss=0.1428, over 2782502.29 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06903, over 44981.66 utterances.], batch size: 79, lr: 6.87e-04
+2022-09-17 12:46:17,050 INFO [train.py:885] (0/2) Epoch 6, batch 10050, loss[loss=0.3165, simple_loss=0.3802, pruned_loss=0.1264, over 14383.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.03478, over 155.00 utterances.], tot_loss[loss=0.3353, simple_loss=0.3855, pruned_loss=0.1425, over 2784773.92 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06869, over 43353.58 utterances.], batch size: 155, lr: 6.87e-04
+2022-09-17 12:46:46,355 INFO [train.py:885] (0/2) Epoch 6, batch 10100, loss[loss=0.2574, simple_loss=0.3183, pruned_loss=0.09827, over 14239.00 frames. utt_duration=641.5 frames, utt_pad_proportion=0.04401, over 89.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.3835, pruned_loss=0.1408, over 2777663.92 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07167, over 43429.09 utterances.], batch size: 89, lr: 6.86e-04
+2022-09-17 12:47:16,083 INFO [train.py:885] (0/2) Epoch 6, batch 10150, loss[loss=0.3728, simple_loss=0.4225, pruned_loss=0.1615, over 14302.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03982, over 283.00 utterances.], tot_loss[loss=0.3326, simple_loss=0.3838, pruned_loss=0.1407, over 2775837.34 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07191, over 43878.60 utterances.], batch size: 283, lr: 6.86e-04
+2022-09-17 12:47:45,597 INFO [train.py:885] (0/2) Epoch 6, batch 10200, loss[loss=0.3923, simple_loss=0.436, pruned_loss=0.1743, over 14203.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04526, over 335.00 utterances.], tot_loss[loss=0.3388, simple_loss=0.3897, pruned_loss=0.144, over 2775866.46 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07458, over 46137.60 utterances.], batch size: 335, lr: 6.86e-04
+2022-09-17 12:48:14,477 INFO [train.py:885] (0/2) Epoch 6, batch 10250, loss[loss=0.3837, simple_loss=0.4245, pruned_loss=0.1715, over 14268.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04132, over 225.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.3883, pruned_loss=0.143, over 2776951.33 frames. utt_duration=244 frames, utt_pad_proportion=0.07452, over 45800.34 utterances.], batch size: 225, lr: 6.86e-04
+2022-09-17 12:48:43,929 INFO [train.py:885] (0/2) Epoch 6, batch 10300, loss[loss=0.3919, simple_loss=0.4654, pruned_loss=0.1592, over 13627.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.07784, over 560.00 utterances.], tot_loss[loss=0.3389, simple_loss=0.3898, pruned_loss=0.144, over 2784038.74 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07189, over 45705.83 utterances.], batch size: 560, lr: 6.85e-04
+2022-09-17 12:49:13,998 INFO [train.py:885] (0/2) Epoch 6, batch 10350, loss[loss=0.2761, simple_loss=0.3226, pruned_loss=0.1148, over 14040.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.05773, over 79.00 utterances.], tot_loss[loss=0.3435, simple_loss=0.3938, pruned_loss=0.1466, over 2784479.03 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07404, over 47547.47 utterances.], batch size: 79, lr: 6.85e-04
+2022-09-17 12:49:43,419 INFO [train.py:885] (0/2) Epoch 6, batch 10400, loss[loss=0.4063, simple_loss=0.4415, pruned_loss=0.1855, over 14183.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04567, over 306.00 utterances.], tot_loss[loss=0.3397, simple_loss=0.3899, pruned_loss=0.1447, over 2782256.93 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07099, over 45990.85 utterances.], batch size: 306, lr: 6.85e-04
+2022-09-17 12:50:13,232 INFO [train.py:885] (0/2) Epoch 6, batch 10450, loss[loss=0.3245, simple_loss=0.383, pruned_loss=0.133, over 14300.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.0422, over 167.00 utterances.], tot_loss[loss=0.3387, simple_loss=0.3888, pruned_loss=0.1443, over 2783083.45 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07065, over 45869.16 utterances.], batch size: 167, lr: 6.85e-04
+2022-09-17 12:50:42,008 INFO [train.py:885] (0/2) Epoch 6, batch 10500, loss[loss=0.3666, simple_loss=0.4121, pruned_loss=0.1605, over 14244.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04226, over 225.00 utterances.], tot_loss[loss=0.3344, simple_loss=0.3849, pruned_loss=0.142, over 2782822.04 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06948, over 43814.98 utterances.], batch size: 225, lr: 6.85e-04
+2022-09-17 12:51:12,462 INFO [train.py:885] (0/2) Epoch 6, batch 10550, loss[loss=0.2317, simple_loss=0.3034, pruned_loss=0.08003, over 14022.00 frames. utt_duration=711.3 frames, utt_pad_proportion=0.05794, over 79.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.3816, pruned_loss=0.1408, over 2785640.05 frames. utt_duration=264.5 frames, utt_pad_proportion=0.06766, over 42362.97 utterances.], batch size: 79, lr: 6.84e-04
+2022-09-17 12:51:41,679 INFO [train.py:885] (0/2) Epoch 6, batch 10600, loss[loss=0.5273, simple_loss=0.5494, pruned_loss=0.2526, over 13747.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07318, over 411.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.382, pruned_loss=0.1406, over 2784296.04 frames. utt_duration=261.1 frames, utt_pad_proportion=0.06863, over 42901.99 utterances.], batch size: 411, lr: 6.84e-04
+2022-09-17 12:52:11,527 INFO [train.py:885] (0/2) Epoch 6, batch 10650, loss[loss=0.4707, simple_loss=0.5382, pruned_loss=0.2016, over 13138.00 frames. utt_duration=82.03 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.3329, simple_loss=0.3836, pruned_loss=0.1411, over 2777774.99 frames. utt_duration=258.3 frames, utt_pad_proportion=0.07224, over 43256.32 utterances.], batch size: 653, lr: 6.84e-04
+2022-09-17 12:52:40,630 INFO [train.py:885] (0/2) Epoch 6, batch 10700, loss[loss=0.3613, simple_loss=0.4041, pruned_loss=0.1592, over 14321.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04102, over 167.00 utterances.], tot_loss[loss=0.3303, simple_loss=0.381, pruned_loss=0.1398, over 2778720.58 frames. utt_duration=264.3 frames, utt_pad_proportion=0.06982, over 42282.03 utterances.], batch size: 167, lr: 6.84e-04
+2022-09-17 12:53:10,054 INFO [train.py:885] (0/2) Epoch 6, batch 10750, loss[loss=0.3682, simple_loss=0.4247, pruned_loss=0.1559, over 13995.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05648, over 365.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.3833, pruned_loss=0.1408, over 2778503.93 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07017, over 43547.02 utterances.], batch size: 365, lr: 6.83e-04
+2022-09-17 12:53:39,123 INFO [train.py:885] (0/2) Epoch 6, batch 10800, loss[loss=0.3355, simple_loss=0.3945, pruned_loss=0.1382, over 14279.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.03993, over 180.00 utterances.], tot_loss[loss=0.3304, simple_loss=0.3817, pruned_loss=0.1395, over 2779952.16 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06951, over 43248.22 utterances.], batch size: 180, lr: 6.83e-04
+2022-09-17 12:54:09,346 INFO [train.py:885] (0/2) Epoch 6, batch 10850, loss[loss=0.1541, simple_loss=0.2046, pruned_loss=0.05182, over 13283.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.1083, over 33.00 utterances.], tot_loss[loss=0.3336, simple_loss=0.3846, pruned_loss=0.1413, over 2782476.88 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06897, over 44089.61 utterances.], batch size: 33, lr: 6.83e-04
+2022-09-17 12:54:38,439 INFO [train.py:885] (0/2) Epoch 6, batch 10900, loss[loss=0.2275, simple_loss=0.2821, pruned_loss=0.08648, over 13540.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.0891, over 50.00 utterances.], tot_loss[loss=0.3335, simple_loss=0.3851, pruned_loss=0.141, over 2781208.00 frames. utt_duration=251.5 frames, utt_pad_proportion=0.0698, over 44486.17 utterances.], batch size: 50, lr: 6.83e-04
+2022-09-17 12:55:07,978 INFO [train.py:885] (0/2) Epoch 6, batch 10950, loss[loss=0.2291, simple_loss=0.2971, pruned_loss=0.08054, over 14094.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05322, over 98.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.386, pruned_loss=0.1417, over 2780198.43 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07048, over 45048.05 utterances.], batch size: 98, lr: 6.82e-04
+2022-09-17 12:55:37,227 INFO [train.py:885] (0/2) Epoch 6, batch 11000, loss[loss=0.3285, simple_loss=0.3959, pruned_loss=0.1306, over 14259.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04093, over 180.00 utterances.], tot_loss[loss=0.3387, simple_loss=0.3901, pruned_loss=0.1436, over 2777305.15 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07217, over 47104.35 utterances.], batch size: 180, lr: 6.82e-04
+2022-09-17 12:56:07,070 INFO [train.py:885] (0/2) Epoch 6, batch 11050, loss[loss=0.4327, simple_loss=0.4572, pruned_loss=0.2041, over 14240.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04257, over 225.00 utterances.], tot_loss[loss=0.3381, simple_loss=0.3896, pruned_loss=0.1433, over 2777951.19 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07259, over 46226.68 utterances.], batch size: 225, lr: 6.82e-04
+2022-09-17 12:56:36,139 INFO [train.py:885] (0/2) Epoch 6, batch 11100, loss[loss=0.3214, simple_loss=0.3811, pruned_loss=0.1309, over 14325.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03783, over 210.00 utterances.], tot_loss[loss=0.335, simple_loss=0.3868, pruned_loss=0.1416, over 2779196.91 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07161, over 45334.61 utterances.], batch size: 210, lr: 6.82e-04
+2022-09-17 12:57:05,809 INFO [train.py:885] (0/2) Epoch 6, batch 11150, loss[loss=0.2809, simple_loss=0.3352, pruned_loss=0.1133, over 14168.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.0451, over 109.00 utterances.], tot_loss[loss=0.3353, simple_loss=0.3874, pruned_loss=0.1416, over 2778961.17 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07302, over 46201.01 utterances.], batch size: 109, lr: 6.82e-04
+2022-09-17 12:57:34,909 INFO [train.py:885] (0/2) Epoch 6, batch 11200, loss[loss=0.2362, simple_loss=0.29, pruned_loss=0.09118, over 13542.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.07898, over 50.00 utterances.], tot_loss[loss=0.3366, simple_loss=0.3886, pruned_loss=0.1423, over 2775782.55 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07449, over 46477.74 utterances.], batch size: 50, lr: 6.81e-04
+2022-09-17 12:58:04,637 INFO [train.py:885] (0/2) Epoch 6, batch 11250, loss[loss=0.3248, simple_loss=0.367, pruned_loss=0.1413, over 14283.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04083, over 120.00 utterances.], tot_loss[loss=0.3387, simple_loss=0.3903, pruned_loss=0.1435, over 2775614.37 frames. utt_duration=238 frames, utt_pad_proportion=0.0755, over 46951.17 utterances.], batch size: 120, lr: 6.81e-04
+2022-09-17 12:58:34,825 INFO [train.py:885] (0/2) Epoch 6, batch 11300, loss[loss=0.2575, simple_loss=0.2976, pruned_loss=0.1086, over 13287.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.107, over 33.00 utterances.], tot_loss[loss=0.3423, simple_loss=0.3935, pruned_loss=0.1455, over 2774084.44 frames. utt_duration=230.3 frames, utt_pad_proportion=0.07695, over 48493.48 utterances.], batch size: 33, lr: 6.81e-04
+2022-09-17 12:59:04,294 INFO [train.py:885] (0/2) Epoch 6, batch 11350, loss[loss=0.2913, simple_loss=0.3566, pruned_loss=0.113, over 14290.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.0433, over 141.00 utterances.], tot_loss[loss=0.3415, simple_loss=0.3927, pruned_loss=0.1451, over 2775829.83 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07495, over 47686.58 utterances.], batch size: 141, lr: 6.81e-04
+2022-09-17 12:59:33,675 INFO [train.py:885] (0/2) Epoch 6, batch 11400, loss[loss=0.3296, simple_loss=0.3765, pruned_loss=0.1413, over 14367.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03516, over 195.00 utterances.], tot_loss[loss=0.3388, simple_loss=0.3905, pruned_loss=0.1436, over 2772975.07 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07629, over 47403.35 utterances.], batch size: 195, lr: 6.80e-04
+2022-09-17 13:00:03,111 INFO [train.py:885] (0/2) Epoch 6, batch 11450, loss[loss=0.4305, simple_loss=0.4463, pruned_loss=0.2073, over 14252.00 frames. utt_duration=440 frames, utt_pad_proportion=0.0393, over 130.00 utterances.], tot_loss[loss=0.3372, simple_loss=0.3882, pruned_loss=0.1431, over 2778779.30 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07296, over 45962.86 utterances.], batch size: 130, lr: 6.80e-04
+2022-09-17 13:00:32,830 INFO [train.py:885] (0/2) Epoch 6, batch 11500, loss[loss=0.2361, simple_loss=0.2972, pruned_loss=0.0875, over 13847.00 frames. utt_duration=924.4 frames, utt_pad_proportion=0.07185, over 60.00 utterances.], tot_loss[loss=0.3383, simple_loss=0.3893, pruned_loss=0.1437, over 2780360.13 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07352, over 46108.94 utterances.], batch size: 60, lr: 6.80e-04
+2022-09-17 13:01:01,702 INFO [train.py:885] (0/2) Epoch 6, batch 11550, loss[loss=0.3794, simple_loss=0.4612, pruned_loss=0.1489, over 13619.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08116, over 477.00 utterances.], tot_loss[loss=0.3341, simple_loss=0.3856, pruned_loss=0.1413, over 2775738.52 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07369, over 45637.58 utterances.], batch size: 477, lr: 6.80e-04
+2022-09-17 13:01:31,056 INFO [train.py:885] (0/2) Epoch 6, batch 11600, loss[loss=0.4449, simple_loss=0.4649, pruned_loss=0.2124, over 14312.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03962, over 262.00 utterances.], tot_loss[loss=0.3335, simple_loss=0.3849, pruned_loss=0.141, over 2778677.85 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07121, over 44963.29 utterances.], batch size: 262, lr: 6.80e-04
+2022-09-17 13:02:00,356 INFO [train.py:885] (0/2) Epoch 6, batch 11650, loss[loss=0.3405, simple_loss=0.3922, pruned_loss=0.1444, over 14347.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03885, over 167.00 utterances.], tot_loss[loss=0.3362, simple_loss=0.3867, pruned_loss=0.1428, over 2778160.03 frames. utt_duration=250 frames, utt_pad_proportion=0.07029, over 44719.54 utterances.], batch size: 167, lr: 6.79e-04
+2022-09-17 13:02:30,160 INFO [train.py:885] (0/2) Epoch 6, batch 11700, loss[loss=0.2639, simple_loss=0.3318, pruned_loss=0.09795, over 14277.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.0396, over 130.00 utterances.], tot_loss[loss=0.3346, simple_loss=0.3856, pruned_loss=0.1418, over 2780694.96 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06773, over 43968.92 utterances.], batch size: 130, lr: 6.79e-04
+2022-09-17 13:02:59,508 INFO [train.py:885] (0/2) Epoch 6, batch 11750, loss[loss=0.29, simple_loss=0.3526, pruned_loss=0.1137, over 14297.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.04155, over 154.00 utterances.], tot_loss[loss=0.3353, simple_loss=0.386, pruned_loss=0.1423, over 2781228.88 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06693, over 44070.66 utterances.], batch size: 154, lr: 6.79e-04
+2022-09-17 13:03:29,212 INFO [train.py:885] (0/2) Epoch 6, batch 11800, loss[loss=0.3422, simple_loss=0.3929, pruned_loss=0.1458, over 14320.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.03655, over 130.00 utterances.], tot_loss[loss=0.3326, simple_loss=0.3839, pruned_loss=0.1406, over 2783229.73 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06692, over 43810.21 utterances.], batch size: 130, lr: 6.79e-04
+2022-09-17 13:03:57,923 INFO [train.py:885] (0/2) Epoch 6, batch 11850, loss[loss=0.201, simple_loss=0.2674, pruned_loss=0.06724, over 14046.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.056, over 79.00 utterances.], tot_loss[loss=0.3324, simple_loss=0.3837, pruned_loss=0.1405, over 2781485.36 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06924, over 44501.36 utterances.], batch size: 79, lr: 6.78e-04
+2022-09-17 13:04:28,093 INFO [train.py:885] (0/2) Epoch 6, batch 11900, loss[loss=0.7054, simple_loss=0.7094, pruned_loss=0.3507, over 12487.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1452, over 810.00 utterances.], tot_loss[loss=0.3383, simple_loss=0.3888, pruned_loss=0.1439, over 2777197.90 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07364, over 46206.35 utterances.], batch size: 810, lr: 6.78e-04
+2022-09-17 13:04:56,795 INFO [train.py:885] (0/2) Epoch 6, batch 11950, loss[loss=0.3431, simple_loss=0.3922, pruned_loss=0.147, over 14315.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03747, over 180.00 utterances.], tot_loss[loss=0.3376, simple_loss=0.3881, pruned_loss=0.1436, over 2780096.07 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07303, over 46104.62 utterances.], batch size: 180, lr: 6.78e-04
+2022-09-17 13:05:26,354 INFO [train.py:885] (0/2) Epoch 6, batch 12000, loss[loss=0.4786, simple_loss=0.4896, pruned_loss=0.2338, over 14281.00 frames. utt_duration=219.4 frames, utt_pad_proportion=0.04182, over 262.00 utterances.], tot_loss[loss=0.3385, simple_loss=0.388, pruned_loss=0.1445, over 2783987.13 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07124, over 45162.00 utterances.], batch size: 262, lr: 6.78e-04
+2022-09-17 13:05:26,355 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 13:05:30,451 INFO [train.py:914] (0/2) Epoch 6, validation: loss=0.2296, simple_loss=0.3022, pruned_loss=0.07851, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 13:06:01,224 INFO [train.py:885] (0/2) Epoch 6, batch 12050, loss[loss=0.2789, simple_loss=0.322, pruned_loss=0.1179, over 13926.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.05762, over 69.00 utterances.], tot_loss[loss=0.3387, simple_loss=0.3888, pruned_loss=0.1443, over 2781439.56 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07353, over 46196.78 utterances.], batch size: 69, lr: 6.77e-04
+2022-09-17 13:06:30,817 INFO [train.py:885] (0/2) Epoch 6, batch 12100, loss[loss=0.344, simple_loss=0.394, pruned_loss=0.147, over 14339.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03903, over 167.00 utterances.], tot_loss[loss=0.3404, simple_loss=0.3904, pruned_loss=0.1452, over 2781548.03 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07322, over 46974.60 utterances.], batch size: 167, lr: 6.77e-04
+2022-09-17 13:07:00,608 INFO [train.py:885] (0/2) Epoch 6, batch 12150, loss[loss=0.3621, simple_loss=0.4118, pruned_loss=0.1562, over 14309.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03954, over 283.00 utterances.], tot_loss[loss=0.3397, simple_loss=0.3898, pruned_loss=0.1448, over 2785284.40 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07108, over 46077.05 utterances.], batch size: 283, lr: 6.77e-04
+2022-09-17 13:07:29,905 INFO [train.py:885] (0/2) Epoch 6, batch 12200, loss[loss=0.2211, simple_loss=0.2782, pruned_loss=0.082, over 13125.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1184, over 33.00 utterances.], tot_loss[loss=0.3409, simple_loss=0.391, pruned_loss=0.1454, over 2781412.80 frames. utt_duration=240 frames, utt_pad_proportion=0.07142, over 46648.20 utterances.], batch size: 33, lr: 6.77e-04
+2022-09-17 13:07:59,679 INFO [train.py:885] (0/2) Epoch 6, batch 12250, loss[loss=0.2675, simple_loss=0.3321, pruned_loss=0.1014, over 14181.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04412, over 109.00 utterances.], tot_loss[loss=0.3406, simple_loss=0.3907, pruned_loss=0.1452, over 2781130.07 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0715, over 46505.21 utterances.], batch size: 109, lr: 6.77e-04
+2022-09-17 13:08:29,650 INFO [train.py:885] (0/2) Epoch 6, batch 12300, loss[loss=0.2847, simple_loss=0.3483, pruned_loss=0.1105, over 14183.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04416, over 109.00 utterances.], tot_loss[loss=0.3377, simple_loss=0.3883, pruned_loss=0.1436, over 2777528.95 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07057, over 45485.44 utterances.], batch size: 109, lr: 6.76e-04
+2022-09-17 13:08:59,154 INFO [train.py:885] (0/2) Epoch 6, batch 12350, loss[loss=0.1749, simple_loss=0.2211, pruned_loss=0.0643, over 12464.00 frames. utt_duration=1996 frames, utt_pad_proportion=0.1587, over 25.00 utterances.], tot_loss[loss=0.3323, simple_loss=0.3828, pruned_loss=0.1409, over 2781800.54 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06878, over 43265.45 utterances.], batch size: 25, lr: 6.76e-04
+2022-09-17 13:09:29,009 INFO [train.py:885] (0/2) Epoch 6, batch 12400, loss[loss=0.4104, simple_loss=0.4785, pruned_loss=0.1712, over 13586.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07929, over 560.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.3824, pruned_loss=0.1404, over 2785159.23 frames. utt_duration=260.8 frames, utt_pad_proportion=0.06704, over 42955.97 utterances.], batch size: 560, lr: 6.76e-04
+2022-09-17 13:09:58,107 INFO [train.py:885] (0/2) Epoch 6, batch 12450, loss[loss=0.4374, simple_loss=0.456, pruned_loss=0.2094, over 14245.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04202, over 335.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.3786, pruned_loss=0.1388, over 2785990.21 frames. utt_duration=272 frames, utt_pad_proportion=0.06613, over 41200.46 utterances.], batch size: 335, lr: 6.76e-04
+2022-09-17 13:10:34,809 INFO [train.py:885] (0/2) Epoch 6, batch 12500, loss[loss=0.1464, simple_loss=0.206, pruned_loss=0.04344, over 13334.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.1058, over 33.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.378, pruned_loss=0.1382, over 2784064.05 frames. utt_duration=271.7 frames, utt_pad_proportion=0.06738, over 41209.13 utterances.], batch size: 33, lr: 6.75e-04
+2022-09-17 13:11:04,013 INFO [train.py:885] (0/2) Epoch 6, batch 12550, loss[loss=0.3052, simple_loss=0.3598, pruned_loss=0.1253, over 14322.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03848, over 130.00 utterances.], tot_loss[loss=0.333, simple_loss=0.3834, pruned_loss=0.1413, over 2786071.28 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06789, over 42997.84 utterances.], batch size: 130, lr: 6.75e-04
+2022-09-17 13:11:32,089 INFO [train.py:885] (0/2) Epoch 6, batch 12600, loss[loss=0.3837, simple_loss=0.4656, pruned_loss=0.1509, over 13648.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.07659, over 560.00 utterances.], tot_loss[loss=0.3364, simple_loss=0.3865, pruned_loss=0.1431, over 2785963.58 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06813, over 44555.28 utterances.], batch size: 560, lr: 6.75e-04
+2022-09-17 13:11:43,108 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-6.pt
+2022-09-17 13:11:50,384 INFO [train.py:885] (0/2) Epoch 7, batch 0, loss[loss=0.2012, simple_loss=0.2578, pruned_loss=0.07232, over 13925.00 frames. utt_duration=929.5 frames, utt_pad_proportion=0.06673, over 60.00 utterances.], tot_loss[loss=0.2012, simple_loss=0.2578, pruned_loss=0.07232, over 13925.00 frames. utt_duration=929.5 frames, utt_pad_proportion=0.06673, over 60.00 utterances.], batch size: 60, lr: 6.48e-04
+2022-09-17 13:12:20,069 INFO [train.py:885] (0/2) Epoch 7, batch 50, loss[loss=0.2657, simple_loss=0.3223, pruned_loss=0.1046, over 14011.00 frames. utt_duration=710.9 frames, utt_pad_proportion=0.05962, over 79.00 utterances.], tot_loss[loss=0.3301, simple_loss=0.3808, pruned_loss=0.1397, over 625574.02 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06971, over 9964.35 utterances.], batch size: 79, lr: 6.47e-04
+2022-09-17 13:12:49,907 INFO [train.py:885] (0/2) Epoch 7, batch 100, loss[loss=0.2025, simple_loss=0.2543, pruned_loss=0.07531, over 13693.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07983, over 50.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3828, pruned_loss=0.1373, over 1105014.36 frames. utt_duration=242.5 frames, utt_pad_proportion=0.06814, over 18337.11 utterances.], batch size: 50, lr: 6.47e-04
+2022-09-17 13:13:18,888 INFO [train.py:885] (0/2) Epoch 7, batch 150, loss[loss=0.1918, simple_loss=0.2386, pruned_loss=0.07251, over 13405.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1042, over 34.00 utterances.], tot_loss[loss=0.3307, simple_loss=0.3836, pruned_loss=0.1389, over 1475201.34 frames. utt_duration=243.8 frames, utt_pad_proportion=0.0707, over 24351.06 utterances.], batch size: 34, lr: 6.47e-04
+2022-09-17 13:13:48,777 INFO [train.py:885] (0/2) Epoch 7, batch 200, loss[loss=0.2378, simple_loss=0.2763, pruned_loss=0.0996, over 13372.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08795, over 41.00 utterances.], tot_loss[loss=0.3324, simple_loss=0.3848, pruned_loss=0.14, over 1759579.83 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07323, over 29539.99 utterances.], batch size: 41, lr: 6.47e-04
+2022-09-17 13:14:17,852 INFO [train.py:885] (0/2) Epoch 7, batch 250, loss[loss=0.238, simple_loss=0.2987, pruned_loss=0.08865, over 14212.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04571, over 89.00 utterances.], tot_loss[loss=0.3329, simple_loss=0.3847, pruned_loss=0.1406, over 1985569.37 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07238, over 33089.25 utterances.], batch size: 89, lr: 6.46e-04
+2022-09-17 13:14:35,551 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-76000.pt
+2022-09-17 13:14:47,749 INFO [train.py:885] (0/2) Epoch 7, batch 300, loss[loss=0.2572, simple_loss=0.2987, pruned_loss=0.1078, over 13931.00 frames. utt_duration=809.2 frames, utt_pad_proportion=0.05792, over 69.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3811, pruned_loss=0.1383, over 2160787.17 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07134, over 34927.61 utterances.], batch size: 69, lr: 6.46e-04
+2022-09-17 13:15:16,992 INFO [train.py:885] (0/2) Epoch 7, batch 350, loss[loss=0.3198, simple_loss=0.3603, pruned_loss=0.1397, over 14004.00 frames. utt_duration=710.5 frames, utt_pad_proportion=0.06024, over 79.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.3845, pruned_loss=0.1402, over 2300301.96 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07144, over 37687.46 utterances.], batch size: 79, lr: 6.46e-04
+2022-09-17 13:15:46,499 INFO [train.py:885] (0/2) Epoch 7, batch 400, loss[loss=0.2734, simple_loss=0.3332, pruned_loss=0.1068, over 14258.00 frames. utt_duration=524.6 frames, utt_pad_proportion=0.0374, over 109.00 utterances.], tot_loss[loss=0.3306, simple_loss=0.3831, pruned_loss=0.139, over 2407039.36 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07043, over 38652.71 utterances.], batch size: 109, lr: 6.46e-04
+2022-09-17 13:16:16,270 INFO [train.py:885] (0/2) Epoch 7, batch 450, loss[loss=0.6029, simple_loss=0.6498, pruned_loss=0.278, over 12483.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1466, over 811.00 utterances.], tot_loss[loss=0.3306, simple_loss=0.3832, pruned_loss=0.139, over 2489449.18 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07208, over 40046.72 utterances.], batch size: 811, lr: 6.46e-04
+2022-09-17 13:16:45,438 INFO [train.py:885] (0/2) Epoch 7, batch 500, loss[loss=0.3928, simple_loss=0.4596, pruned_loss=0.163, over 13627.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08136, over 477.00 utterances.], tot_loss[loss=0.3315, simple_loss=0.3841, pruned_loss=0.1394, over 2554637.16 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07017, over 41059.19 utterances.], batch size: 477, lr: 6.45e-04
+2022-09-17 13:17:16,185 INFO [train.py:885] (0/2) Epoch 7, batch 550, loss[loss=0.587, simple_loss=0.6361, pruned_loss=0.269, over 12529.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.1441, over 810.00 utterances.], tot_loss[loss=0.3365, simple_loss=0.389, pruned_loss=0.1421, over 2605924.80 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07144, over 43976.98 utterances.], batch size: 810, lr: 6.45e-04
+2022-09-17 13:17:45,427 INFO [train.py:885] (0/2) Epoch 7, batch 600, loss[loss=0.3207, simple_loss=0.3803, pruned_loss=0.1305, over 14379.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.0342, over 210.00 utterances.], tot_loss[loss=0.3368, simple_loss=0.389, pruned_loss=0.1423, over 2645754.54 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07032, over 44470.53 utterances.], batch size: 210, lr: 6.45e-04
+2022-09-17 13:18:14,906 INFO [train.py:885] (0/2) Epoch 7, batch 650, loss[loss=0.3917, simple_loss=0.4314, pruned_loss=0.1759, over 14358.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03546, over 210.00 utterances.], tot_loss[loss=0.3373, simple_loss=0.3888, pruned_loss=0.1429, over 2675697.40 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07045, over 44955.55 utterances.], batch size: 210, lr: 6.45e-04
+2022-09-17 13:18:43,793 INFO [train.py:885] (0/2) Epoch 7, batch 700, loss[loss=0.3263, simple_loss=0.3768, pruned_loss=0.1379, over 14341.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.03581, over 154.00 utterances.], tot_loss[loss=0.3388, simple_loss=0.39, pruned_loss=0.1438, over 2705808.25 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06929, over 44656.78 utterances.], batch size: 154, lr: 6.45e-04
+2022-09-17 13:19:13,943 INFO [train.py:885] (0/2) Epoch 7, batch 750, loss[loss=0.5316, simple_loss=0.5698, pruned_loss=0.2466, over 13655.00 frames. utt_duration=98.83 frames, utt_pad_proportion=0.0764, over 560.00 utterances.], tot_loss[loss=0.3331, simple_loss=0.3853, pruned_loss=0.1404, over 2720811.39 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06936, over 43843.39 utterances.], batch size: 560, lr: 6.44e-04
+2022-09-17 13:19:43,569 INFO [train.py:885] (0/2) Epoch 7, batch 800, loss[loss=0.3641, simple_loss=0.435, pruned_loss=0.1466, over 13762.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07188, over 411.00 utterances.], tot_loss[loss=0.3318, simple_loss=0.3843, pruned_loss=0.1396, over 2735340.00 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06877, over 43925.21 utterances.], batch size: 411, lr: 6.44e-04
+2022-09-17 13:20:12,682 INFO [train.py:885] (0/2) Epoch 7, batch 850, loss[loss=0.4017, simple_loss=0.446, pruned_loss=0.1787, over 14201.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04462, over 306.00 utterances.], tot_loss[loss=0.3336, simple_loss=0.3858, pruned_loss=0.1407, over 2747011.90 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06939, over 45015.53 utterances.], batch size: 306, lr: 6.44e-04
+2022-09-17 13:20:42,463 INFO [train.py:885] (0/2) Epoch 7, batch 900, loss[loss=0.4786, simple_loss=0.4867, pruned_loss=0.2353, over 14259.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04151, over 335.00 utterances.], tot_loss[loss=0.3311, simple_loss=0.3833, pruned_loss=0.1394, over 2753074.99 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06899, over 44064.85 utterances.], batch size: 335, lr: 6.44e-04
+2022-09-17 13:21:11,891 INFO [train.py:885] (0/2) Epoch 7, batch 950, loss[loss=0.2402, simple_loss=0.3175, pruned_loss=0.08141, over 14342.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.0355, over 130.00 utterances.], tot_loss[loss=0.3337, simple_loss=0.3861, pruned_loss=0.1407, over 2762681.66 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06855, over 44903.71 utterances.], batch size: 130, lr: 6.44e-04
+2022-09-17 13:21:41,995 INFO [train.py:885] (0/2) Epoch 7, batch 1000, loss[loss=0.3566, simple_loss=0.3931, pruned_loss=0.1601, over 14362.00 frames. utt_duration=480.1 frames, utt_pad_proportion=0.03588, over 120.00 utterances.], tot_loss[loss=0.3406, simple_loss=0.3917, pruned_loss=0.1447, over 2766617.80 frames. utt_duration=239.2 frames, utt_pad_proportion=0.06962, over 46559.03 utterances.], batch size: 120, lr: 6.43e-04
+2022-09-17 13:22:11,486 INFO [train.py:885] (0/2) Epoch 7, batch 1050, loss[loss=0.2584, simple_loss=0.3054, pruned_loss=0.1057, over 14083.00 frames. utt_duration=634.3 frames, utt_pad_proportion=0.05466, over 89.00 utterances.], tot_loss[loss=0.335, simple_loss=0.387, pruned_loss=0.1416, over 2773077.99 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06725, over 45535.81 utterances.], batch size: 89, lr: 6.43e-04
+2022-09-17 13:22:41,084 INFO [train.py:885] (0/2) Epoch 7, batch 1100, loss[loss=0.1878, simple_loss=0.2379, pruned_loss=0.0688, over 12623.00 frames. utt_duration=2021 frames, utt_pad_proportion=0.1407, over 25.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.3864, pruned_loss=0.1415, over 2772813.36 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06948, over 45750.23 utterances.], batch size: 25, lr: 6.43e-04
+2022-09-17 13:23:10,365 INFO [train.py:885] (0/2) Epoch 7, batch 1150, loss[loss=0.3946, simple_loss=0.4278, pruned_loss=0.1807, over 14340.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.03702, over 226.00 utterances.], tot_loss[loss=0.3349, simple_loss=0.3868, pruned_loss=0.1415, over 2775236.40 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07021, over 45726.25 utterances.], batch size: 226, lr: 6.43e-04
+2022-09-17 13:23:40,113 INFO [train.py:885] (0/2) Epoch 7, batch 1200, loss[loss=0.3249, simple_loss=0.3863, pruned_loss=0.1318, over 14369.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0366, over 244.00 utterances.], tot_loss[loss=0.3289, simple_loss=0.3813, pruned_loss=0.1383, over 2776633.12 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06891, over 43820.70 utterances.], batch size: 244, lr: 6.42e-04
+2022-09-17 13:24:09,258 INFO [train.py:885] (0/2) Epoch 7, batch 1250, loss[loss=0.2753, simple_loss=0.3457, pruned_loss=0.1025, over 14368.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.03385, over 130.00 utterances.], tot_loss[loss=0.3392, simple_loss=0.3899, pruned_loss=0.1442, over 2778023.93 frames. utt_duration=242.7 frames, utt_pad_proportion=0.071, over 46062.32 utterances.], batch size: 130, lr: 6.42e-04
+2022-09-17 13:24:39,203 INFO [train.py:885] (0/2) Epoch 7, batch 1300, loss[loss=0.6162, simple_loss=0.6624, pruned_loss=0.285, over 12483.00 frames. utt_duration=63.22 frames, utt_pad_proportion=0.1456, over 810.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3879, pruned_loss=0.1431, over 2777801.40 frames. utt_duration=244 frames, utt_pad_proportion=0.07153, over 45815.81 utterances.], batch size: 810, lr: 6.42e-04
+2022-09-17 13:25:08,293 INFO [train.py:885] (0/2) Epoch 7, batch 1350, loss[loss=0.5867, simple_loss=0.6071, pruned_loss=0.2832, over 13144.00 frames. utt_duration=82.07 frames, utt_pad_proportion=0.1079, over 653.00 utterances.], tot_loss[loss=0.3378, simple_loss=0.3888, pruned_loss=0.1434, over 2781361.12 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07071, over 46304.54 utterances.], batch size: 653, lr: 6.42e-04
+2022-09-17 13:25:37,532 INFO [train.py:885] (0/2) Epoch 7, batch 1400, loss[loss=0.5943, simple_loss=0.6428, pruned_loss=0.2729, over 12502.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1442, over 810.00 utterances.], tot_loss[loss=0.3393, simple_loss=0.3903, pruned_loss=0.1441, over 2782689.04 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07057, over 46998.93 utterances.], batch size: 810, lr: 6.42e-04
+2022-09-17 13:26:07,671 INFO [train.py:885] (0/2) Epoch 7, batch 1450, loss[loss=0.2061, simple_loss=0.27, pruned_loss=0.07106, over 13479.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09167, over 50.00 utterances.], tot_loss[loss=0.3387, simple_loss=0.3895, pruned_loss=0.1439, over 2783676.86 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07046, over 46257.86 utterances.], batch size: 50, lr: 6.41e-04
+2022-09-17 13:26:36,916 INFO [train.py:885] (0/2) Epoch 7, batch 1500, loss[loss=0.374, simple_loss=0.4496, pruned_loss=0.1492, over 13648.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.0808, over 477.00 utterances.], tot_loss[loss=0.3376, simple_loss=0.3879, pruned_loss=0.1436, over 2781498.52 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07038, over 45148.05 utterances.], batch size: 477, lr: 6.41e-04
+2022-09-17 13:27:06,743 INFO [train.py:885] (0/2) Epoch 7, batch 1550, loss[loss=0.2024, simple_loss=0.2734, pruned_loss=0.06566, over 14039.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.05638, over 79.00 utterances.], tot_loss[loss=0.333, simple_loss=0.3842, pruned_loss=0.1408, over 2783780.53 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06891, over 44051.70 utterances.], batch size: 79, lr: 6.41e-04
+2022-09-17 13:27:35,975 INFO [train.py:885] (0/2) Epoch 7, batch 1600, loss[loss=0.2259, simple_loss=0.2796, pruned_loss=0.08614, over 13475.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09364, over 50.00 utterances.], tot_loss[loss=0.3354, simple_loss=0.3863, pruned_loss=0.1422, over 2786200.21 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06893, over 44408.55 utterances.], batch size: 50, lr: 6.41e-04
+2022-09-17 13:28:05,638 INFO [train.py:885] (0/2) Epoch 7, batch 1650, loss[loss=0.3257, simple_loss=0.3806, pruned_loss=0.1354, over 14282.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.0426, over 154.00 utterances.], tot_loss[loss=0.3341, simple_loss=0.385, pruned_loss=0.1416, over 2785171.85 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06971, over 44243.06 utterances.], batch size: 154, lr: 6.41e-04
+2022-09-17 13:28:34,850 INFO [train.py:885] (0/2) Epoch 7, batch 1700, loss[loss=0.1919, simple_loss=0.262, pruned_loss=0.06095, over 13880.00 frames. utt_duration=806.2 frames, utt_pad_proportion=0.06037, over 69.00 utterances.], tot_loss[loss=0.3305, simple_loss=0.3818, pruned_loss=0.1396, over 2784876.65 frames. utt_duration=259.9 frames, utt_pad_proportion=0.06771, over 43101.07 utterances.], batch size: 69, lr: 6.40e-04
+2022-09-17 13:29:04,726 INFO [train.py:885] (0/2) Epoch 7, batch 1750, loss[loss=0.1886, simple_loss=0.2449, pruned_loss=0.0662, over 13152.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1167, over 33.00 utterances.], tot_loss[loss=0.3326, simple_loss=0.3832, pruned_loss=0.141, over 2784132.79 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06734, over 43264.74 utterances.], batch size: 33, lr: 6.40e-04
+2022-09-17 13:29:34,497 INFO [train.py:885] (0/2) Epoch 7, batch 1800, loss[loss=0.3603, simple_loss=0.4143, pruned_loss=0.1531, over 14214.00 frames. utt_duration=254.3 frames, utt_pad_proportion=0.04406, over 225.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.3801, pruned_loss=0.1381, over 2783476.40 frames. utt_duration=257.7 frames, utt_pad_proportion=0.067, over 43446.44 utterances.], batch size: 225, lr: 6.40e-04
+2022-09-17 13:30:03,945 INFO [train.py:885] (0/2) Epoch 7, batch 1850, loss[loss=0.27, simple_loss=0.3319, pruned_loss=0.1041, over 14235.00 frames. utt_duration=523.8 frames, utt_pad_proportion=0.04065, over 109.00 utterances.], tot_loss[loss=0.3291, simple_loss=0.3809, pruned_loss=0.1386, over 2782751.14 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06637, over 43323.37 utterances.], batch size: 109, lr: 6.40e-04
+2022-09-17 13:30:33,711 INFO [train.py:885] (0/2) Epoch 7, batch 1900, loss[loss=0.4211, simple_loss=0.4995, pruned_loss=0.1714, over 13192.00 frames. utt_duration=82.32 frames, utt_pad_proportion=0.1052, over 653.00 utterances.], tot_loss[loss=0.3307, simple_loss=0.3827, pruned_loss=0.1393, over 2784117.79 frames. utt_duration=252 frames, utt_pad_proportion=0.06737, over 44459.19 utterances.], batch size: 653, lr: 6.40e-04
+2022-09-17 13:31:02,996 INFO [train.py:885] (0/2) Epoch 7, batch 1950, loss[loss=0.3699, simple_loss=0.4151, pruned_loss=0.1624, over 14357.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03586, over 195.00 utterances.], tot_loss[loss=0.3337, simple_loss=0.386, pruned_loss=0.1407, over 2778180.64 frames. utt_duration=242.6 frames, utt_pad_proportion=0.06951, over 46092.89 utterances.], batch size: 195, lr: 6.39e-04
+2022-09-17 13:31:32,142 INFO [train.py:885] (0/2) Epoch 7, batch 2000, loss[loss=0.2874, simple_loss=0.3474, pruned_loss=0.1137, over 14245.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.042, over 130.00 utterances.], tot_loss[loss=0.3324, simple_loss=0.3844, pruned_loss=0.1402, over 2781095.03 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0694, over 45019.86 utterances.], batch size: 130, lr: 6.39e-04
+2022-09-17 13:32:01,387 INFO [train.py:885] (0/2) Epoch 7, batch 2050, loss[loss=0.3326, simple_loss=0.3934, pruned_loss=0.1359, over 14321.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03818, over 210.00 utterances.], tot_loss[loss=0.3337, simple_loss=0.3864, pruned_loss=0.1405, over 2774368.10 frames. utt_duration=240 frames, utt_pad_proportion=0.07391, over 46520.63 utterances.], batch size: 210, lr: 6.39e-04
+2022-09-17 13:32:31,094 INFO [train.py:885] (0/2) Epoch 7, batch 2100, loss[loss=0.3769, simple_loss=0.454, pruned_loss=0.1498, over 13648.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0804, over 477.00 utterances.], tot_loss[loss=0.3259, simple_loss=0.3795, pruned_loss=0.1361, over 2773276.42 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07186, over 44685.60 utterances.], batch size: 477, lr: 6.39e-04
+2022-09-17 13:33:00,750 INFO [train.py:885] (0/2) Epoch 7, batch 2150, loss[loss=0.3314, simple_loss=0.3944, pruned_loss=0.1342, over 14323.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.0369, over 180.00 utterances.], tot_loss[loss=0.3255, simple_loss=0.3792, pruned_loss=0.1359, over 2780105.86 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0708, over 43766.54 utterances.], batch size: 180, lr: 6.39e-04
+2022-09-17 13:33:30,221 INFO [train.py:885] (0/2) Epoch 7, batch 2200, loss[loss=0.2475, simple_loss=0.3144, pruned_loss=0.09029, over 13987.00 frames. utt_duration=709.8 frames, utt_pad_proportion=0.05989, over 79.00 utterances.], tot_loss[loss=0.3269, simple_loss=0.3806, pruned_loss=0.1366, over 2778921.13 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07072, over 44237.24 utterances.], batch size: 79, lr: 6.38e-04
+2022-09-17 13:33:59,844 INFO [train.py:885] (0/2) Epoch 7, batch 2250, loss[loss=0.3369, simple_loss=0.3695, pruned_loss=0.1522, over 14223.00 frames. utt_duration=640.9 frames, utt_pad_proportion=0.04493, over 89.00 utterances.], tot_loss[loss=0.329, simple_loss=0.3826, pruned_loss=0.1377, over 2780173.30 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07004, over 45391.18 utterances.], batch size: 89, lr: 6.38e-04
+2022-09-17 13:34:28,904 INFO [train.py:885] (0/2) Epoch 7, batch 2300, loss[loss=0.4226, simple_loss=0.4806, pruned_loss=0.1823, over 13722.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07509, over 411.00 utterances.], tot_loss[loss=0.326, simple_loss=0.379, pruned_loss=0.1365, over 2780499.25 frames. utt_duration=254.2 frames, utt_pad_proportion=0.0689, over 44007.09 utterances.], batch size: 411, lr: 6.38e-04
+2022-09-17 13:34:58,829 INFO [train.py:885] (0/2) Epoch 7, batch 2350, loss[loss=0.2251, simple_loss=0.2853, pruned_loss=0.08244, over 14047.00 frames. utt_duration=804.2 frames, utt_pad_proportion=0.06051, over 70.00 utterances.], tot_loss[loss=0.3337, simple_loss=0.3866, pruned_loss=0.1404, over 2776106.81 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07274, over 46710.51 utterances.], batch size: 70, lr: 6.38e-04
+2022-09-17 13:35:28,028 INFO [train.py:885] (0/2) Epoch 7, batch 2400, loss[loss=0.3883, simple_loss=0.4581, pruned_loss=0.1592, over 13663.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07907, over 477.00 utterances.], tot_loss[loss=0.333, simple_loss=0.3852, pruned_loss=0.1404, over 2774672.20 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07428, over 46270.65 utterances.], batch size: 477, lr: 6.38e-04
+2022-09-17 13:35:57,956 INFO [train.py:885] (0/2) Epoch 7, batch 2450, loss[loss=0.2994, simple_loss=0.3647, pruned_loss=0.117, over 14202.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.04883, over 141.00 utterances.], tot_loss[loss=0.3331, simple_loss=0.3851, pruned_loss=0.1406, over 2773375.16 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07471, over 45857.96 utterances.], batch size: 141, lr: 6.37e-04
+2022-09-17 13:36:27,276 INFO [train.py:885] (0/2) Epoch 7, batch 2500, loss[loss=0.4464, simple_loss=0.5182, pruned_loss=0.1873, over 13138.00 frames. utt_duration=81.96 frames, utt_pad_proportion=0.1091, over 653.00 utterances.], tot_loss[loss=0.3326, simple_loss=0.385, pruned_loss=0.1401, over 2773310.96 frames. utt_duration=242 frames, utt_pad_proportion=0.07328, over 46125.77 utterances.], batch size: 653, lr: 6.37e-04
+2022-09-17 13:36:56,986 INFO [train.py:885] (0/2) Epoch 7, batch 2550, loss[loss=0.3193, simple_loss=0.3893, pruned_loss=0.1247, over 14284.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03988, over 225.00 utterances.], tot_loss[loss=0.3337, simple_loss=0.3864, pruned_loss=0.1405, over 2775581.76 frames. utt_duration=240 frames, utt_pad_proportion=0.0736, over 46551.40 utterances.], batch size: 225, lr: 6.37e-04
+2022-09-17 13:37:26,107 INFO [train.py:885] (0/2) Epoch 7, batch 2600, loss[loss=0.3372, simple_loss=0.3927, pruned_loss=0.1408, over 14261.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04111, over 180.00 utterances.], tot_loss[loss=0.3374, simple_loss=0.3906, pruned_loss=0.1421, over 2776601.52 frames. utt_duration=231.7 frames, utt_pad_proportion=0.0745, over 48249.84 utterances.], batch size: 180, lr: 6.37e-04
+2022-09-17 13:37:55,248 INFO [train.py:885] (0/2) Epoch 7, batch 2650, loss[loss=0.2664, simple_loss=0.3048, pruned_loss=0.114, over 13840.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06316, over 69.00 utterances.], tot_loss[loss=0.3365, simple_loss=0.3896, pruned_loss=0.1417, over 2777254.53 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07351, over 48049.59 utterances.], batch size: 69, lr: 6.37e-04
+2022-09-17 13:38:25,011 INFO [train.py:885] (0/2) Epoch 7, batch 2700, loss[loss=0.3256, simple_loss=0.3797, pruned_loss=0.1357, over 14340.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03365, over 210.00 utterances.], tot_loss[loss=0.3355, simple_loss=0.3885, pruned_loss=0.1412, over 2780322.38 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07178, over 47137.48 utterances.], batch size: 210, lr: 6.36e-04
+2022-09-17 13:38:54,095 INFO [train.py:885] (0/2) Epoch 7, batch 2750, loss[loss=0.201, simple_loss=0.2442, pruned_loss=0.07895, over 13415.00 frames. utt_duration=1628 frames, utt_pad_proportion=0.09933, over 33.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.3853, pruned_loss=0.1398, over 2779267.60 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07103, over 46137.32 utterances.], batch size: 33, lr: 6.36e-04
+2022-09-17 13:39:24,088 INFO [train.py:885] (0/2) Epoch 7, batch 2800, loss[loss=0.4086, simple_loss=0.4241, pruned_loss=0.1966, over 14261.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04506, over 141.00 utterances.], tot_loss[loss=0.3356, simple_loss=0.3875, pruned_loss=0.1418, over 2782658.65 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06938, over 46219.14 utterances.], batch size: 141, lr: 6.36e-04
+2022-09-17 13:39:53,526 INFO [train.py:885] (0/2) Epoch 7, batch 2850, loss[loss=0.3613, simple_loss=0.4434, pruned_loss=0.1396, over 13685.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07775, over 477.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3886, pruned_loss=0.1427, over 2785241.28 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06883, over 46236.03 utterances.], batch size: 477, lr: 6.36e-04
+2022-09-17 13:40:22,882 INFO [train.py:885] (0/2) Epoch 7, batch 2900, loss[loss=0.3432, simple_loss=0.4165, pruned_loss=0.1349, over 13969.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05819, over 365.00 utterances.], tot_loss[loss=0.3401, simple_loss=0.3919, pruned_loss=0.1441, over 2781527.62 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07197, over 48427.62 utterances.], batch size: 365, lr: 6.36e-04
+2022-09-17 13:40:52,290 INFO [train.py:885] (0/2) Epoch 7, batch 2950, loss[loss=0.2742, simple_loss=0.3384, pruned_loss=0.105, over 14113.00 frames. utt_duration=519.4 frames, utt_pad_proportion=0.04866, over 109.00 utterances.], tot_loss[loss=0.3367, simple_loss=0.3889, pruned_loss=0.1423, over 2777537.54 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07313, over 47933.70 utterances.], batch size: 109, lr: 6.35e-04
+2022-09-17 13:41:22,498 INFO [train.py:885] (0/2) Epoch 7, batch 3000, loss[loss=0.244, simple_loss=0.2969, pruned_loss=0.09558, over 13973.00 frames. utt_duration=800.1 frames, utt_pad_proportion=0.06534, over 70.00 utterances.], tot_loss[loss=0.3392, simple_loss=0.3911, pruned_loss=0.1436, over 2780369.73 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07283, over 48335.21 utterances.], batch size: 70, lr: 6.35e-04
+2022-09-17 13:41:22,499 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 13:41:26,805 INFO [train.py:914] (0/2) Epoch 7, validation: loss=0.2154, simple_loss=0.2906, pruned_loss=0.07012, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 13:41:56,491 INFO [train.py:885] (0/2) Epoch 7, batch 3050, loss[loss=0.3983, simple_loss=0.4672, pruned_loss=0.1647, over 13598.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08319, over 477.00 utterances.], tot_loss[loss=0.3352, simple_loss=0.3875, pruned_loss=0.1414, over 2778234.32 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07296, over 47708.90 utterances.], batch size: 477, lr: 6.35e-04
+2022-09-17 13:42:25,766 INFO [train.py:885] (0/2) Epoch 7, batch 3100, loss[loss=0.2691, simple_loss=0.3324, pruned_loss=0.1029, over 14065.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05491, over 98.00 utterances.], tot_loss[loss=0.3334, simple_loss=0.3856, pruned_loss=0.1406, over 2775354.27 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07412, over 46919.76 utterances.], batch size: 98, lr: 6.35e-04
+2022-09-17 13:42:55,469 INFO [train.py:885] (0/2) Epoch 7, batch 3150, loss[loss=0.2258, simple_loss=0.2887, pruned_loss=0.0814, over 13968.00 frames. utt_duration=708.5 frames, utt_pad_proportion=0.06282, over 79.00 utterances.], tot_loss[loss=0.3331, simple_loss=0.3852, pruned_loss=0.1405, over 2776865.26 frames. utt_duration=239 frames, utt_pad_proportion=0.07294, over 46759.73 utterances.], batch size: 79, lr: 6.35e-04
+2022-09-17 13:43:24,846 INFO [train.py:885] (0/2) Epoch 7, batch 3200, loss[loss=0.3639, simple_loss=0.4505, pruned_loss=0.1387, over 13650.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08006, over 477.00 utterances.], tot_loss[loss=0.3328, simple_loss=0.3853, pruned_loss=0.1402, over 2775803.12 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07416, over 47156.71 utterances.], batch size: 477, lr: 6.34e-04
+2022-09-17 13:43:54,294 INFO [train.py:885] (0/2) Epoch 7, batch 3250, loss[loss=0.4338, simple_loss=0.4593, pruned_loss=0.2042, over 14269.00 frames. utt_duration=188.1 frames, utt_pad_proportion=0.04012, over 306.00 utterances.], tot_loss[loss=0.3377, simple_loss=0.3894, pruned_loss=0.143, over 2782732.66 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07174, over 47941.28 utterances.], batch size: 306, lr: 6.34e-04
+2022-09-17 13:44:24,377 INFO [train.py:885] (0/2) Epoch 7, batch 3300, loss[loss=0.2589, simple_loss=0.3259, pruned_loss=0.0959, over 14039.00 frames. utt_duration=574.3 frames, utt_pad_proportion=0.05848, over 98.00 utterances.], tot_loss[loss=0.3389, simple_loss=0.3903, pruned_loss=0.1437, over 2774359.04 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07617, over 48740.63 utterances.], batch size: 98, lr: 6.34e-04
+2022-09-17 13:44:53,735 INFO [train.py:885] (0/2) Epoch 7, batch 3350, loss[loss=0.2033, simple_loss=0.2652, pruned_loss=0.07072, over 13225.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.098, over 41.00 utterances.], tot_loss[loss=0.3376, simple_loss=0.3901, pruned_loss=0.1426, over 2773589.98 frames. utt_duration=227.8 frames, utt_pad_proportion=0.07608, over 49023.80 utterances.], batch size: 41, lr: 6.34e-04
+2022-09-17 13:45:23,529 INFO [train.py:885] (0/2) Epoch 7, batch 3400, loss[loss=0.7866, simple_loss=0.773, pruned_loss=0.4, over 12525.00 frames. utt_duration=63.43 frames, utt_pad_proportion=0.1428, over 810.00 utterances.], tot_loss[loss=0.3394, simple_loss=0.3916, pruned_loss=0.1436, over 2775795.10 frames. utt_duration=226.9 frames, utt_pad_proportion=0.07584, over 49257.57 utterances.], batch size: 810, lr: 6.34e-04
+2022-09-17 13:45:52,999 INFO [train.py:885] (0/2) Epoch 7, batch 3450, loss[loss=0.2589, simple_loss=0.3174, pruned_loss=0.1002, over 13996.00 frames. utt_duration=710.1 frames, utt_pad_proportion=0.05441, over 79.00 utterances.], tot_loss[loss=0.3389, simple_loss=0.3908, pruned_loss=0.1435, over 2778938.52 frames. utt_duration=231 frames, utt_pad_proportion=0.07533, over 48433.99 utterances.], batch size: 79, lr: 6.33e-04
+2022-09-17 13:46:22,891 INFO [train.py:885] (0/2) Epoch 7, batch 3500, loss[loss=0.3419, simple_loss=0.3987, pruned_loss=0.1426, over 14326.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03777, over 195.00 utterances.], tot_loss[loss=0.3399, simple_loss=0.392, pruned_loss=0.1439, over 2780075.84 frames. utt_duration=230 frames, utt_pad_proportion=0.07553, over 48667.86 utterances.], batch size: 195, lr: 6.33e-04
+2022-09-17 13:46:52,330 INFO [train.py:885] (0/2) Epoch 7, batch 3550, loss[loss=0.2359, simple_loss=0.2961, pruned_loss=0.08781, over 14008.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05994, over 79.00 utterances.], tot_loss[loss=0.3373, simple_loss=0.3896, pruned_loss=0.1425, over 2779570.82 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07443, over 47923.67 utterances.], batch size: 79, lr: 6.33e-04
+2022-09-17 13:47:22,048 INFO [train.py:885] (0/2) Epoch 7, batch 3600, loss[loss=0.3069, simple_loss=0.3539, pruned_loss=0.13, over 14296.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03868, over 130.00 utterances.], tot_loss[loss=0.3369, simple_loss=0.3891, pruned_loss=0.1424, over 2779340.55 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07425, over 47734.93 utterances.], batch size: 130, lr: 6.33e-04
+2022-09-17 13:47:51,448 INFO [train.py:885] (0/2) Epoch 7, batch 3650, loss[loss=0.3715, simple_loss=0.4246, pruned_loss=0.1591, over 14298.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04055, over 262.00 utterances.], tot_loss[loss=0.3357, simple_loss=0.3876, pruned_loss=0.1419, over 2782634.69 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07233, over 46772.18 utterances.], batch size: 262, lr: 6.33e-04
+2022-09-17 13:48:21,091 INFO [train.py:885] (0/2) Epoch 7, batch 3700, loss[loss=0.4992, simple_loss=0.4994, pruned_loss=0.2495, over 14240.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04225, over 306.00 utterances.], tot_loss[loss=0.3339, simple_loss=0.3859, pruned_loss=0.141, over 2783446.86 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07173, over 45556.30 utterances.], batch size: 306, lr: 6.32e-04
+2022-09-17 13:48:51,178 INFO [train.py:885] (0/2) Epoch 7, batch 3750, loss[loss=0.3458, simple_loss=0.3898, pruned_loss=0.1509, over 14320.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03717, over 130.00 utterances.], tot_loss[loss=0.3349, simple_loss=0.3872, pruned_loss=0.1412, over 2784381.75 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07005, over 45868.82 utterances.], batch size: 130, lr: 6.32e-04
+2022-09-17 13:49:20,384 INFO [train.py:885] (0/2) Epoch 7, batch 3800, loss[loss=0.3571, simple_loss=0.4047, pruned_loss=0.1548, over 14302.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03827, over 180.00 utterances.], tot_loss[loss=0.3329, simple_loss=0.3848, pruned_loss=0.1405, over 2781710.76 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07016, over 44120.75 utterances.], batch size: 180, lr: 6.32e-04
+2022-09-17 13:49:50,380 INFO [train.py:885] (0/2) Epoch 7, batch 3850, loss[loss=0.4117, simple_loss=0.4519, pruned_loss=0.1857, over 14184.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04568, over 306.00 utterances.], tot_loss[loss=0.3317, simple_loss=0.3842, pruned_loss=0.1396, over 2783654.41 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06828, over 44234.99 utterances.], batch size: 306, lr: 6.32e-04
+2022-09-17 13:50:20,152 INFO [train.py:885] (0/2) Epoch 7, batch 3900, loss[loss=0.176, simple_loss=0.2215, pruned_loss=0.06525, over 12340.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1708, over 24.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3831, pruned_loss=0.1394, over 2781766.45 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06887, over 44101.66 utterances.], batch size: 24, lr: 6.32e-04
+2022-09-17 13:50:49,199 INFO [train.py:885] (0/2) Epoch 7, batch 3950, loss[loss=0.722, simple_loss=0.7226, pruned_loss=0.3607, over 12483.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1455, over 810.00 utterances.], tot_loss[loss=0.3311, simple_loss=0.3831, pruned_loss=0.1396, over 2784903.15 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06879, over 43787.99 utterances.], batch size: 810, lr: 6.31e-04
+2022-09-17 13:51:18,505 INFO [train.py:885] (0/2) Epoch 7, batch 4000, loss[loss=0.3537, simple_loss=0.4306, pruned_loss=0.1384, over 13758.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07464, over 412.00 utterances.], tot_loss[loss=0.3323, simple_loss=0.3851, pruned_loss=0.1397, over 2783954.57 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06916, over 45255.47 utterances.], batch size: 412, lr: 6.31e-04
+2022-09-17 13:51:48,676 INFO [train.py:885] (0/2) Epoch 7, batch 4050, loss[loss=0.4029, simple_loss=0.4373, pruned_loss=0.1842, over 14374.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03232, over 244.00 utterances.], tot_loss[loss=0.3378, simple_loss=0.3901, pruned_loss=0.1428, over 2783737.71 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07127, over 47543.31 utterances.], batch size: 244, lr: 6.31e-04
+2022-09-17 13:52:18,358 INFO [train.py:885] (0/2) Epoch 7, batch 4100, loss[loss=0.2994, simple_loss=0.3694, pruned_loss=0.1147, over 14236.00 frames. utt_duration=317.7 frames, utt_pad_proportion=0.04316, over 180.00 utterances.], tot_loss[loss=0.336, simple_loss=0.3882, pruned_loss=0.1419, over 2780448.88 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07228, over 46876.96 utterances.], batch size: 180, lr: 6.31e-04
+2022-09-17 13:52:47,339 INFO [train.py:885] (0/2) Epoch 7, batch 4150, loss[loss=0.1639, simple_loss=0.2206, pruned_loss=0.05359, over 12287.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1675, over 24.00 utterances.], tot_loss[loss=0.3339, simple_loss=0.3863, pruned_loss=0.1407, over 2781270.08 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07055, over 45914.37 utterances.], batch size: 24, lr: 6.31e-04
+2022-09-17 13:53:17,219 INFO [train.py:885] (0/2) Epoch 7, batch 4200, loss[loss=0.2247, simple_loss=0.2891, pruned_loss=0.08017, over 13944.00 frames. utt_duration=707.5 frames, utt_pad_proportion=0.06173, over 79.00 utterances.], tot_loss[loss=0.3374, simple_loss=0.3892, pruned_loss=0.1428, over 2779422.19 frames. utt_duration=236.2 frames, utt_pad_proportion=0.0732, over 47356.58 utterances.], batch size: 79, lr: 6.30e-04
+2022-09-17 13:53:46,191 INFO [train.py:885] (0/2) Epoch 7, batch 4250, loss[loss=0.3463, simple_loss=0.3785, pruned_loss=0.157, over 14308.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03786, over 130.00 utterances.], tot_loss[loss=0.3355, simple_loss=0.3875, pruned_loss=0.1418, over 2780519.50 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07307, over 46291.24 utterances.], batch size: 130, lr: 6.30e-04
+2022-09-17 13:54:03,922 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-80000.pt
+2022-09-17 13:54:16,418 INFO [train.py:885] (0/2) Epoch 7, batch 4300, loss[loss=0.3687, simple_loss=0.3891, pruned_loss=0.1741, over 14085.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05338, over 98.00 utterances.], tot_loss[loss=0.3327, simple_loss=0.3842, pruned_loss=0.1405, over 2776791.07 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0721, over 44954.08 utterances.], batch size: 98, lr: 6.30e-04
+2022-09-17 13:54:45,807 INFO [train.py:885] (0/2) Epoch 7, batch 4350, loss[loss=0.1881, simple_loss=0.2412, pruned_loss=0.0675, over 13369.00 frames. utt_duration=1071 frames, utt_pad_proportion=0.1, over 50.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3809, pruned_loss=0.1381, over 2780282.08 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06994, over 44028.90 utterances.], batch size: 50, lr: 6.30e-04
+2022-09-17 13:55:15,492 INFO [train.py:885] (0/2) Epoch 7, batch 4400, loss[loss=0.3904, simple_loss=0.4565, pruned_loss=0.1622, over 13746.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07308, over 411.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3834, pruned_loss=0.1392, over 2778429.49 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07143, over 44860.35 utterances.], batch size: 411, lr: 6.30e-04
+2022-09-17 13:55:45,008 INFO [train.py:885] (0/2) Epoch 7, batch 4450, loss[loss=0.228, simple_loss=0.2854, pruned_loss=0.08524, over 14082.00 frames. utt_duration=806 frames, utt_pad_proportion=0.05949, over 70.00 utterances.], tot_loss[loss=0.3279, simple_loss=0.3808, pruned_loss=0.1375, over 2770637.86 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07317, over 44698.30 utterances.], batch size: 70, lr: 6.29e-04
+2022-09-17 13:56:14,348 INFO [train.py:885] (0/2) Epoch 7, batch 4500, loss[loss=0.3813, simple_loss=0.4624, pruned_loss=0.1501, over 13621.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07865, over 560.00 utterances.], tot_loss[loss=0.3294, simple_loss=0.3827, pruned_loss=0.1381, over 2775251.63 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07235, over 45609.94 utterances.], batch size: 560, lr: 6.29e-04
+2022-09-17 13:56:44,769 INFO [train.py:885] (0/2) Epoch 7, batch 4550, loss[loss=0.3489, simple_loss=0.4278, pruned_loss=0.135, over 13768.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07228, over 411.00 utterances.], tot_loss[loss=0.333, simple_loss=0.3865, pruned_loss=0.1398, over 2777602.51 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07289, over 47429.14 utterances.], batch size: 411, lr: 6.29e-04
+2022-09-17 13:57:13,511 INFO [train.py:885] (0/2) Epoch 7, batch 4600, loss[loss=0.2954, simple_loss=0.359, pruned_loss=0.1159, over 14350.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.03823, over 154.00 utterances.], tot_loss[loss=0.3304, simple_loss=0.3839, pruned_loss=0.1385, over 2781018.38 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07187, over 46010.83 utterances.], batch size: 154, lr: 6.29e-04
+2022-09-17 13:57:42,703 INFO [train.py:885] (0/2) Epoch 7, batch 4650, loss[loss=0.4453, simple_loss=0.4551, pruned_loss=0.2178, over 14312.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04157, over 167.00 utterances.], tot_loss[loss=0.3301, simple_loss=0.383, pruned_loss=0.1385, over 2780489.86 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07196, over 45495.49 utterances.], batch size: 167, lr: 6.29e-04
+2022-09-17 13:58:12,277 INFO [train.py:885] (0/2) Epoch 7, batch 4700, loss[loss=0.3013, simple_loss=0.3482, pruned_loss=0.1272, over 14125.00 frames. utt_duration=636.4 frames, utt_pad_proportion=0.04871, over 89.00 utterances.], tot_loss[loss=0.3255, simple_loss=0.3791, pruned_loss=0.1359, over 2779675.11 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07145, over 44515.12 utterances.], batch size: 89, lr: 6.28e-04
+2022-09-17 13:58:41,672 INFO [train.py:885] (0/2) Epoch 7, batch 4750, loss[loss=0.3462, simple_loss=0.3983, pruned_loss=0.147, over 14316.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03546, over 262.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.3803, pruned_loss=0.137, over 2783326.20 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06925, over 43973.32 utterances.], batch size: 262, lr: 6.28e-04
+2022-09-17 13:59:11,802 INFO [train.py:885] (0/2) Epoch 7, batch 4800, loss[loss=0.1797, simple_loss=0.2393, pruned_loss=0.06002, over 13520.00 frames. utt_duration=1289 frames, utt_pad_proportion=0.08947, over 42.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.3869, pruned_loss=0.1412, over 2781766.17 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07154, over 45988.63 utterances.], batch size: 42, lr: 6.28e-04
+2022-09-17 13:59:41,385 INFO [train.py:885] (0/2) Epoch 7, batch 4850, loss[loss=0.3887, simple_loss=0.438, pruned_loss=0.1697, over 14238.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04246, over 335.00 utterances.], tot_loss[loss=0.339, simple_loss=0.3903, pruned_loss=0.1438, over 2778214.46 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07224, over 47134.17 utterances.], batch size: 335, lr: 6.28e-04
+2022-09-17 14:00:10,268 INFO [train.py:885] (0/2) Epoch 7, batch 4900, loss[loss=0.2537, simple_loss=0.3097, pruned_loss=0.09883, over 14204.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04617, over 89.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3887, pruned_loss=0.1426, over 2776358.71 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07184, over 46392.58 utterances.], batch size: 89, lr: 6.28e-04
+2022-09-17 14:00:40,530 INFO [train.py:885] (0/2) Epoch 7, batch 4950, loss[loss=0.3812, simple_loss=0.4271, pruned_loss=0.1676, over 14246.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04196, over 335.00 utterances.], tot_loss[loss=0.3358, simple_loss=0.3874, pruned_loss=0.1421, over 2773707.68 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07146, over 46400.37 utterances.], batch size: 335, lr: 6.27e-04
+2022-09-17 14:01:09,635 INFO [train.py:885] (0/2) Epoch 7, batch 5000, loss[loss=0.315, simple_loss=0.4057, pruned_loss=0.1122, over 13769.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07138, over 411.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.3867, pruned_loss=0.1413, over 2776040.24 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07153, over 46430.29 utterances.], batch size: 411, lr: 6.27e-04
+2022-09-17 14:01:39,466 INFO [train.py:885] (0/2) Epoch 7, batch 5050, loss[loss=0.3847, simple_loss=0.4288, pruned_loss=0.1703, over 14372.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03447, over 210.00 utterances.], tot_loss[loss=0.3331, simple_loss=0.3864, pruned_loss=0.1399, over 2776819.33 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07174, over 47304.61 utterances.], batch size: 210, lr: 6.27e-04
+2022-09-17 14:02:08,495 INFO [train.py:885] (0/2) Epoch 7, batch 5100, loss[loss=0.2298, simple_loss=0.2815, pruned_loss=0.0891, over 13557.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08358, over 50.00 utterances.], tot_loss[loss=0.3366, simple_loss=0.389, pruned_loss=0.142, over 2774306.62 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07448, over 47401.39 utterances.], batch size: 50, lr: 6.27e-04
+2022-09-17 14:02:38,730 INFO [train.py:885] (0/2) Epoch 7, batch 5150, loss[loss=0.2518, simple_loss=0.3138, pruned_loss=0.09492, over 13973.00 frames. utt_duration=708.6 frames, utt_pad_proportion=0.0614, over 79.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.3872, pruned_loss=0.1411, over 2772964.44 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07418, over 46991.65 utterances.], batch size: 79, lr: 6.27e-04
+2022-09-17 14:03:08,256 INFO [train.py:885] (0/2) Epoch 7, batch 5200, loss[loss=0.2918, simple_loss=0.3511, pruned_loss=0.1163, over 14279.00 frames. utt_duration=477.3 frames, utt_pad_proportion=0.04344, over 120.00 utterances.], tot_loss[loss=0.3335, simple_loss=0.3863, pruned_loss=0.1403, over 2768375.60 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07626, over 47461.99 utterances.], batch size: 120, lr: 6.26e-04
+2022-09-17 14:03:37,850 INFO [train.py:885] (0/2) Epoch 7, batch 5250, loss[loss=0.4019, simple_loss=0.4411, pruned_loss=0.1814, over 14327.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0384, over 283.00 utterances.], tot_loss[loss=0.3345, simple_loss=0.387, pruned_loss=0.141, over 2775136.56 frames. utt_duration=236 frames, utt_pad_proportion=0.07443, over 47324.32 utterances.], batch size: 283, lr: 6.26e-04
+2022-09-17 14:04:06,797 INFO [train.py:885] (0/2) Epoch 7, batch 5300, loss[loss=0.3486, simple_loss=0.4079, pruned_loss=0.1446, over 14310.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03824, over 180.00 utterances.], tot_loss[loss=0.3341, simple_loss=0.3863, pruned_loss=0.1409, over 2775728.55 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07395, over 46904.63 utterances.], batch size: 180, lr: 6.26e-04
+2022-09-17 14:04:36,579 INFO [train.py:885] (0/2) Epoch 7, batch 5350, loss[loss=0.2286, simple_loss=0.2855, pruned_loss=0.08592, over 13571.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.08811, over 42.00 utterances.], tot_loss[loss=0.3329, simple_loss=0.3847, pruned_loss=0.1405, over 2778690.48 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07155, over 46062.18 utterances.], batch size: 42, lr: 6.26e-04
+2022-09-17 14:05:05,911 INFO [train.py:885] (0/2) Epoch 7, batch 5400, loss[loss=0.3586, simple_loss=0.4013, pruned_loss=0.1579, over 14366.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.0356, over 195.00 utterances.], tot_loss[loss=0.3321, simple_loss=0.3838, pruned_loss=0.1402, over 2780763.99 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07075, over 45722.83 utterances.], batch size: 195, lr: 6.26e-04
+2022-09-17 14:05:35,946 INFO [train.py:885] (0/2) Epoch 7, batch 5450, loss[loss=0.2362, simple_loss=0.2904, pruned_loss=0.09104, over 14008.00 frames. utt_duration=710.6 frames, utt_pad_proportion=0.06004, over 79.00 utterances.], tot_loss[loss=0.3321, simple_loss=0.3842, pruned_loss=0.14, over 2777273.36 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07298, over 46116.29 utterances.], batch size: 79, lr: 6.26e-04
+2022-09-17 14:06:05,745 INFO [train.py:885] (0/2) Epoch 7, batch 5500, loss[loss=0.5931, simple_loss=0.6421, pruned_loss=0.2721, over 12483.00 frames. utt_duration=63.22 frames, utt_pad_proportion=0.1457, over 810.00 utterances.], tot_loss[loss=0.3345, simple_loss=0.3869, pruned_loss=0.1411, over 2780034.30 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07328, over 46890.23 utterances.], batch size: 810, lr: 6.25e-04
+2022-09-17 14:06:34,669 INFO [train.py:885] (0/2) Epoch 7, batch 5550, loss[loss=0.3421, simple_loss=0.3651, pruned_loss=0.1595, over 14211.00 frames. utt_duration=640.2 frames, utt_pad_proportion=0.04454, over 89.00 utterances.], tot_loss[loss=0.3377, simple_loss=0.3901, pruned_loss=0.1427, over 2779065.15 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07448, over 48200.53 utterances.], batch size: 89, lr: 6.25e-04
+2022-09-17 14:07:04,174 INFO [train.py:885] (0/2) Epoch 7, batch 5600, loss[loss=0.2191, simple_loss=0.2713, pruned_loss=0.08345, over 13886.00 frames. utt_duration=927.1 frames, utt_pad_proportion=0.06918, over 60.00 utterances.], tot_loss[loss=0.3345, simple_loss=0.3876, pruned_loss=0.1407, over 2779583.81 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07388, over 47075.84 utterances.], batch size: 60, lr: 6.25e-04
+2022-09-17 14:07:33,800 INFO [train.py:885] (0/2) Epoch 7, batch 5650, loss[loss=0.3611, simple_loss=0.4319, pruned_loss=0.1452, over 14006.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05781, over 366.00 utterances.], tot_loss[loss=0.331, simple_loss=0.3839, pruned_loss=0.139, over 2782809.79 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07056, over 44776.63 utterances.], batch size: 366, lr: 6.25e-04
+2022-09-17 14:08:04,499 INFO [train.py:885] (0/2) Epoch 7, batch 5700, loss[loss=0.2418, simple_loss=0.2891, pruned_loss=0.09724, over 13420.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.0841, over 41.00 utterances.], tot_loss[loss=0.3348, simple_loss=0.3874, pruned_loss=0.1411, over 2780298.81 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07179, over 46276.66 utterances.], batch size: 41, lr: 6.25e-04
+2022-09-17 14:08:32,859 INFO [train.py:885] (0/2) Epoch 7, batch 5750, loss[loss=0.2033, simple_loss=0.2495, pruned_loss=0.07859, over 13318.00 frames. utt_duration=1568 frames, utt_pad_proportion=0.1076, over 34.00 utterances.], tot_loss[loss=0.329, simple_loss=0.3824, pruned_loss=0.1378, over 2780756.78 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07069, over 44912.02 utterances.], batch size: 34, lr: 6.24e-04
+2022-09-17 14:09:02,287 INFO [train.py:885] (0/2) Epoch 7, batch 5800, loss[loss=0.3246, simple_loss=0.3763, pruned_loss=0.1365, over 14382.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03693, over 155.00 utterances.], tot_loss[loss=0.3285, simple_loss=0.3809, pruned_loss=0.138, over 2782817.37 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06786, over 43402.58 utterances.], batch size: 155, lr: 6.24e-04
+2022-09-17 14:09:32,420 INFO [train.py:885] (0/2) Epoch 7, batch 5850, loss[loss=0.5802, simple_loss=0.636, pruned_loss=0.2622, over 12512.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 811.00 utterances.], tot_loss[loss=0.3341, simple_loss=0.3868, pruned_loss=0.1407, over 2777436.99 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07133, over 46248.82 utterances.], batch size: 811, lr: 6.24e-04
+2022-09-17 14:10:02,197 INFO [train.py:885] (0/2) Epoch 7, batch 5900, loss[loss=0.3419, simple_loss=0.3935, pruned_loss=0.1452, over 14337.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03698, over 195.00 utterances.], tot_loss[loss=0.3348, simple_loss=0.3873, pruned_loss=0.1412, over 2777600.59 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07269, over 46722.54 utterances.], batch size: 195, lr: 6.24e-04
+2022-09-17 14:10:31,372 INFO [train.py:885] (0/2) Epoch 7, batch 5950, loss[loss=0.3246, simple_loss=0.3776, pruned_loss=0.1358, over 14291.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03954, over 180.00 utterances.], tot_loss[loss=0.3355, simple_loss=0.388, pruned_loss=0.1416, over 2779065.58 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07199, over 46850.40 utterances.], batch size: 180, lr: 6.24e-04
+2022-09-17 14:11:01,143 INFO [train.py:885] (0/2) Epoch 7, batch 6000, loss[loss=0.3589, simple_loss=0.4104, pruned_loss=0.1537, over 14360.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03619, over 283.00 utterances.], tot_loss[loss=0.3373, simple_loss=0.3892, pruned_loss=0.1427, over 2781194.60 frames. utt_duration=237 frames, utt_pad_proportion=0.07152, over 47232.43 utterances.], batch size: 283, lr: 6.23e-04
+2022-09-17 14:11:01,145 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 14:11:05,881 INFO [train.py:914] (0/2) Epoch 7, validation: loss=0.217, simple_loss=0.2925, pruned_loss=0.07079, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 14:11:35,655 INFO [train.py:885] (0/2) Epoch 7, batch 6050, loss[loss=0.5839, simple_loss=0.6357, pruned_loss=0.266, over 12546.00 frames. utt_duration=63.5 frames, utt_pad_proportion=0.1419, over 810.00 utterances.], tot_loss[loss=0.3376, simple_loss=0.3899, pruned_loss=0.1426, over 2785530.06 frames. utt_duration=238.1 frames, utt_pad_proportion=0.0718, over 47087.14 utterances.], batch size: 810, lr: 6.23e-04
+2022-09-17 14:12:04,719 INFO [train.py:885] (0/2) Epoch 7, batch 6100, loss[loss=0.3655, simple_loss=0.4447, pruned_loss=0.1432, over 13607.00 frames. utt_duration=98.51 frames, utt_pad_proportion=0.07937, over 560.00 utterances.], tot_loss[loss=0.3303, simple_loss=0.3835, pruned_loss=0.1386, over 2780079.29 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07146, over 45434.81 utterances.], batch size: 560, lr: 6.23e-04
+2022-09-17 14:12:34,591 INFO [train.py:885] (0/2) Epoch 7, batch 6150, loss[loss=0.2033, simple_loss=0.2581, pruned_loss=0.07424, over 13344.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08971, over 41.00 utterances.], tot_loss[loss=0.331, simple_loss=0.3844, pruned_loss=0.1388, over 2780059.78 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07238, over 45829.16 utterances.], batch size: 41, lr: 6.23e-04
+2022-09-17 14:13:03,889 INFO [train.py:885] (0/2) Epoch 7, batch 6200, loss[loss=0.3928, simple_loss=0.4346, pruned_loss=0.1755, over 14167.00 frames. utt_duration=186.8 frames, utt_pad_proportion=0.04694, over 306.00 utterances.], tot_loss[loss=0.3294, simple_loss=0.3829, pruned_loss=0.1379, over 2779723.73 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07106, over 45610.67 utterances.], batch size: 306, lr: 6.23e-04
+2022-09-17 14:13:33,779 INFO [train.py:885] (0/2) Epoch 7, batch 6250, loss[loss=0.3509, simple_loss=0.3994, pruned_loss=0.1512, over 14354.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03585, over 195.00 utterances.], tot_loss[loss=0.328, simple_loss=0.382, pruned_loss=0.137, over 2778611.66 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07117, over 45619.43 utterances.], batch size: 195, lr: 6.22e-04
+2022-09-17 14:14:03,288 INFO [train.py:885] (0/2) Epoch 7, batch 6300, loss[loss=0.3918, simple_loss=0.4305, pruned_loss=0.1765, over 14309.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.0391, over 283.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3827, pruned_loss=0.1389, over 2773770.85 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07301, over 45459.32 utterances.], batch size: 283, lr: 6.22e-04
+2022-09-17 14:14:32,942 INFO [train.py:885] (0/2) Epoch 7, batch 6350, loss[loss=0.1922, simple_loss=0.2574, pruned_loss=0.06355, over 13873.00 frames. utt_duration=926.5 frames, utt_pad_proportion=0.06981, over 60.00 utterances.], tot_loss[loss=0.332, simple_loss=0.3842, pruned_loss=0.1399, over 2781836.11 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07072, over 45280.77 utterances.], batch size: 60, lr: 6.22e-04
+2022-09-17 14:15:02,928 INFO [train.py:885] (0/2) Epoch 7, batch 6400, loss[loss=0.2271, simple_loss=0.2858, pruned_loss=0.08424, over 13544.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.0883, over 50.00 utterances.], tot_loss[loss=0.3335, simple_loss=0.3854, pruned_loss=0.1408, over 2781463.01 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07155, over 45848.67 utterances.], batch size: 50, lr: 6.22e-04
+2022-09-17 14:15:32,623 INFO [train.py:885] (0/2) Epoch 7, batch 6450, loss[loss=0.2254, simple_loss=0.2842, pruned_loss=0.08335, over 13806.00 frames. utt_duration=801.8 frames, utt_pad_proportion=0.06656, over 69.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3841, pruned_loss=0.1393, over 2784621.34 frames. utt_duration=246.6 frames, utt_pad_proportion=0.0704, over 45447.16 utterances.], batch size: 69, lr: 6.22e-04
+2022-09-17 14:16:02,307 INFO [train.py:885] (0/2) Epoch 7, batch 6500, loss[loss=0.5663, simple_loss=0.6146, pruned_loss=0.259, over 12594.00 frames. utt_duration=63.61 frames, utt_pad_proportion=0.1405, over 811.00 utterances.], tot_loss[loss=0.334, simple_loss=0.3866, pruned_loss=0.1408, over 2781868.91 frames. utt_duration=239 frames, utt_pad_proportion=0.07359, over 46849.51 utterances.], batch size: 811, lr: 6.22e-04
+2022-09-17 14:16:31,776 INFO [train.py:885] (0/2) Epoch 7, batch 6550, loss[loss=0.3308, simple_loss=0.3822, pruned_loss=0.1397, over 14289.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03938, over 154.00 utterances.], tot_loss[loss=0.3271, simple_loss=0.3812, pruned_loss=0.1365, over 2780014.29 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07234, over 45836.46 utterances.], batch size: 154, lr: 6.21e-04
+2022-09-17 14:17:01,793 INFO [train.py:885] (0/2) Epoch 7, batch 6600, loss[loss=0.3646, simple_loss=0.4102, pruned_loss=0.1594, over 14291.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04108, over 262.00 utterances.], tot_loss[loss=0.3276, simple_loss=0.3809, pruned_loss=0.1371, over 2778577.68 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07076, over 45414.09 utterances.], batch size: 262, lr: 6.21e-04
+2022-09-17 14:17:31,179 INFO [train.py:885] (0/2) Epoch 7, batch 6650, loss[loss=0.2809, simple_loss=0.3574, pruned_loss=0.1022, over 14300.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04098, over 154.00 utterances.], tot_loss[loss=0.3271, simple_loss=0.3806, pruned_loss=0.1368, over 2778393.79 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07124, over 45662.45 utterances.], batch size: 154, lr: 6.21e-04
+2022-09-17 14:18:01,164 INFO [train.py:885] (0/2) Epoch 7, batch 6700, loss[loss=0.3385, simple_loss=0.4193, pruned_loss=0.1288, over 13777.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07119, over 411.00 utterances.], tot_loss[loss=0.3276, simple_loss=0.3812, pruned_loss=0.137, over 2777980.32 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07201, over 45326.09 utterances.], batch size: 411, lr: 6.21e-04
+2022-09-17 14:18:30,595 INFO [train.py:885] (0/2) Epoch 7, batch 6750, loss[loss=0.2847, simple_loss=0.3276, pruned_loss=0.1209, over 14216.00 frames. utt_duration=523.2 frames, utt_pad_proportion=0.04179, over 109.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3822, pruned_loss=0.1377, over 2776455.48 frames. utt_duration=242 frames, utt_pad_proportion=0.073, over 46170.06 utterances.], batch size: 109, lr: 6.21e-04
+2022-09-17 14:19:00,720 INFO [train.py:885] (0/2) Epoch 7, batch 6800, loss[loss=0.3754, simple_loss=0.4237, pruned_loss=0.1635, over 14310.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03922, over 262.00 utterances.], tot_loss[loss=0.3304, simple_loss=0.384, pruned_loss=0.1384, over 2773019.99 frames. utt_duration=236.1 frames, utt_pad_proportion=0.0737, over 47270.37 utterances.], batch size: 262, lr: 6.20e-04
+2022-09-17 14:19:29,675 INFO [train.py:885] (0/2) Epoch 7, batch 6850, loss[loss=0.2813, simple_loss=0.3318, pruned_loss=0.1154, over 14269.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.04188, over 120.00 utterances.], tot_loss[loss=0.3322, simple_loss=0.3846, pruned_loss=0.1399, over 2772624.10 frames. utt_duration=239 frames, utt_pad_proportion=0.07446, over 46699.25 utterances.], batch size: 120, lr: 6.20e-04
+2022-09-17 14:19:59,530 INFO [train.py:885] (0/2) Epoch 7, batch 6900, loss[loss=0.4217, simple_loss=0.4499, pruned_loss=0.1967, over 14372.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03454, over 195.00 utterances.], tot_loss[loss=0.3329, simple_loss=0.3846, pruned_loss=0.1406, over 2773021.74 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07394, over 46048.27 utterances.], batch size: 195, lr: 6.20e-04
+2022-09-17 14:20:28,604 INFO [train.py:885] (0/2) Epoch 7, batch 6950, loss[loss=0.3244, simple_loss=0.3827, pruned_loss=0.133, over 14370.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.03495, over 195.00 utterances.], tot_loss[loss=0.329, simple_loss=0.3813, pruned_loss=0.1384, over 2772624.69 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07367, over 45124.79 utterances.], batch size: 195, lr: 6.20e-04
+2022-09-17 14:20:58,477 INFO [train.py:885] (0/2) Epoch 7, batch 7000, loss[loss=0.2313, simple_loss=0.2761, pruned_loss=0.09322, over 13449.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09521, over 50.00 utterances.], tot_loss[loss=0.3283, simple_loss=0.3807, pruned_loss=0.1379, over 2773311.89 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07358, over 45315.18 utterances.], batch size: 50, lr: 6.20e-04
+2022-09-17 14:21:27,679 INFO [train.py:885] (0/2) Epoch 7, batch 7050, loss[loss=0.216, simple_loss=0.2557, pruned_loss=0.08812, over 13309.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1034, over 26.00 utterances.], tot_loss[loss=0.3258, simple_loss=0.379, pruned_loss=0.1362, over 2772267.37 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07406, over 44829.73 utterances.], batch size: 26, lr: 6.19e-04
+2022-09-17 14:21:57,744 INFO [train.py:885] (0/2) Epoch 7, batch 7100, loss[loss=0.2014, simple_loss=0.2627, pruned_loss=0.07006, over 13524.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.09038, over 50.00 utterances.], tot_loss[loss=0.3278, simple_loss=0.3816, pruned_loss=0.137, over 2771012.36 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07602, over 46537.41 utterances.], batch size: 50, lr: 6.19e-04
+2022-09-17 14:22:27,289 INFO [train.py:885] (0/2) Epoch 7, batch 7150, loss[loss=0.353, simple_loss=0.4073, pruned_loss=0.1494, over 14293.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04077, over 262.00 utterances.], tot_loss[loss=0.3293, simple_loss=0.383, pruned_loss=0.1378, over 2773393.07 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07466, over 46838.17 utterances.], batch size: 262, lr: 6.19e-04
+2022-09-17 14:22:56,568 INFO [train.py:885] (0/2) Epoch 7, batch 7200, loss[loss=0.3654, simple_loss=0.4487, pruned_loss=0.141, over 13663.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.0785, over 477.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3826, pruned_loss=0.1375, over 2773218.45 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07454, over 46578.40 utterances.], batch size: 477, lr: 6.19e-04
+2022-09-17 14:23:25,815 INFO [train.py:885] (0/2) Epoch 7, batch 7250, loss[loss=0.3528, simple_loss=0.4064, pruned_loss=0.1496, over 14317.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03877, over 283.00 utterances.], tot_loss[loss=0.3258, simple_loss=0.38, pruned_loss=0.1358, over 2772029.50 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07395, over 45520.85 utterances.], batch size: 283, lr: 6.19e-04
+2022-09-17 14:23:55,392 INFO [train.py:885] (0/2) Epoch 7, batch 7300, loss[loss=0.696, simple_loss=0.708, pruned_loss=0.3419, over 12459.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1469, over 810.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3823, pruned_loss=0.1376, over 2771777.47 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07488, over 46164.88 utterances.], batch size: 810, lr: 6.19e-04
+2022-09-17 14:24:24,602 INFO [train.py:885] (0/2) Epoch 7, batch 7350, loss[loss=0.2732, simple_loss=0.3496, pruned_loss=0.09841, over 14188.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.04971, over 141.00 utterances.], tot_loss[loss=0.3279, simple_loss=0.3812, pruned_loss=0.1373, over 2772529.73 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07433, over 45617.95 utterances.], batch size: 141, lr: 6.18e-04
+2022-09-17 14:24:54,931 INFO [train.py:885] (0/2) Epoch 7, batch 7400, loss[loss=0.2318, simple_loss=0.2919, pruned_loss=0.08582, over 13787.00 frames. utt_duration=920.6 frames, utt_pad_proportion=0.0757, over 60.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.3825, pruned_loss=0.1369, over 2771894.94 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07514, over 46569.77 utterances.], batch size: 60, lr: 6.18e-04
+2022-09-17 14:25:24,202 INFO [train.py:885] (0/2) Epoch 7, batch 7450, loss[loss=0.2587, simple_loss=0.3183, pruned_loss=0.09957, over 13624.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.09027, over 42.00 utterances.], tot_loss[loss=0.3301, simple_loss=0.3836, pruned_loss=0.1382, over 2773190.43 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07529, over 46957.66 utterances.], batch size: 42, lr: 6.18e-04
+2022-09-17 14:25:54,362 INFO [train.py:885] (0/2) Epoch 7, batch 7500, loss[loss=0.3223, simple_loss=0.3778, pruned_loss=0.1335, over 14348.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03586, over 195.00 utterances.], tot_loss[loss=0.3306, simple_loss=0.3839, pruned_loss=0.1386, over 2774337.68 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07459, over 47009.16 utterances.], batch size: 195, lr: 6.18e-04
+2022-09-17 14:26:23,017 INFO [train.py:885] (0/2) Epoch 7, batch 7550, loss[loss=0.3412, simple_loss=0.3997, pruned_loss=0.1414, over 14268.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04075, over 225.00 utterances.], tot_loss[loss=0.3279, simple_loss=0.3817, pruned_loss=0.137, over 2776147.17 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07301, over 46081.41 utterances.], batch size: 225, lr: 6.18e-04
+2022-09-17 14:26:53,659 INFO [train.py:885] (0/2) Epoch 7, batch 7600, loss[loss=0.4971, simple_loss=0.5025, pruned_loss=0.2458, over 14221.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04273, over 306.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.386, pruned_loss=0.1395, over 2777983.55 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07302, over 46903.82 utterances.], batch size: 306, lr: 6.17e-04
+2022-09-17 14:27:23,355 INFO [train.py:885] (0/2) Epoch 7, batch 7650, loss[loss=0.3434, simple_loss=0.3955, pruned_loss=0.1456, over 14328.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03409, over 226.00 utterances.], tot_loss[loss=0.3326, simple_loss=0.386, pruned_loss=0.1396, over 2781830.22 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07119, over 46494.15 utterances.], batch size: 226, lr: 6.17e-04
+2022-09-17 14:27:52,730 INFO [train.py:885] (0/2) Epoch 7, batch 7700, loss[loss=0.4238, simple_loss=0.4612, pruned_loss=0.1932, over 14235.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04263, over 306.00 utterances.], tot_loss[loss=0.3339, simple_loss=0.3857, pruned_loss=0.1411, over 2779118.34 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07157, over 45601.99 utterances.], batch size: 306, lr: 6.17e-04
+2022-09-17 14:28:22,363 INFO [train.py:885] (0/2) Epoch 7, batch 7750, loss[loss=0.1694, simple_loss=0.2205, pruned_loss=0.05917, over 13380.00 frames. utt_duration=1623 frames, utt_pad_proportion=0.09606, over 33.00 utterances.], tot_loss[loss=0.3283, simple_loss=0.3804, pruned_loss=0.1381, over 2775807.00 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07176, over 44264.32 utterances.], batch size: 33, lr: 6.17e-04
+2022-09-17 14:28:51,953 INFO [train.py:885] (0/2) Epoch 7, batch 7800, loss[loss=0.4192, simple_loss=0.4948, pruned_loss=0.1718, over 13167.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.3283, simple_loss=0.3805, pruned_loss=0.1381, over 2776992.77 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07307, over 44578.47 utterances.], batch size: 653, lr: 6.17e-04
+2022-09-17 14:29:21,314 INFO [train.py:885] (0/2) Epoch 7, batch 7850, loss[loss=0.3584, simple_loss=0.4326, pruned_loss=0.1421, over 13743.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07378, over 411.00 utterances.], tot_loss[loss=0.3305, simple_loss=0.3826, pruned_loss=0.1392, over 2777209.79 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07361, over 45391.05 utterances.], batch size: 411, lr: 6.17e-04
+2022-09-17 14:29:50,271 INFO [train.py:885] (0/2) Epoch 7, batch 7900, loss[loss=0.3273, simple_loss=0.4141, pruned_loss=0.1202, over 13788.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07031, over 411.00 utterances.], tot_loss[loss=0.3307, simple_loss=0.383, pruned_loss=0.1392, over 2781667.80 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07158, over 45460.03 utterances.], batch size: 411, lr: 6.16e-04
+2022-09-17 14:30:20,220 INFO [train.py:885] (0/2) Epoch 7, batch 7950, loss[loss=0.2742, simple_loss=0.3233, pruned_loss=0.1125, over 13982.00 frames. utt_duration=572 frames, utt_pad_proportion=0.06235, over 98.00 utterances.], tot_loss[loss=0.3295, simple_loss=0.3819, pruned_loss=0.1385, over 2778722.19 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07226, over 45286.44 utterances.], batch size: 98, lr: 6.16e-04
+2022-09-17 14:30:49,838 INFO [train.py:885] (0/2) Epoch 7, batch 8000, loss[loss=0.3262, simple_loss=0.3842, pruned_loss=0.1341, over 14322.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.0371, over 154.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3807, pruned_loss=0.1382, over 2783936.24 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06943, over 44324.85 utterances.], batch size: 154, lr: 6.16e-04
+2022-09-17 14:31:25,886 INFO [train.py:885] (0/2) Epoch 7, batch 8050, loss[loss=0.4163, simple_loss=0.4542, pruned_loss=0.1892, over 14339.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03828, over 244.00 utterances.], tot_loss[loss=0.3305, simple_loss=0.3828, pruned_loss=0.1391, over 2787586.47 frames. utt_duration=248 frames, utt_pad_proportion=0.06739, over 45238.84 utterances.], batch size: 244, lr: 6.16e-04
+2022-09-17 14:31:55,782 INFO [train.py:885] (0/2) Epoch 7, batch 8100, loss[loss=0.2257, simple_loss=0.2899, pruned_loss=0.08076, over 13769.00 frames. utt_duration=799.6 frames, utt_pad_proportion=0.06374, over 69.00 utterances.], tot_loss[loss=0.332, simple_loss=0.3842, pruned_loss=0.1399, over 2786438.10 frames. utt_duration=241.2 frames, utt_pad_proportion=0.06757, over 46494.53 utterances.], batch size: 69, lr: 6.16e-04
+2022-09-17 14:32:24,972 INFO [train.py:885] (0/2) Epoch 7, batch 8150, loss[loss=0.3611, simple_loss=0.4167, pruned_loss=0.1527, over 14305.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03845, over 180.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3812, pruned_loss=0.1378, over 2790495.87 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06498, over 44746.46 utterances.], batch size: 180, lr: 6.15e-04
+2022-09-17 14:32:54,873 INFO [train.py:885] (0/2) Epoch 7, batch 8200, loss[loss=0.235, simple_loss=0.2892, pruned_loss=0.09034, over 14162.00 frames. utt_duration=638 frames, utt_pad_proportion=0.04915, over 89.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3802, pruned_loss=0.1364, over 2785552.76 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06745, over 45145.48 utterances.], batch size: 89, lr: 6.15e-04
+2022-09-17 14:33:23,916 INFO [train.py:885] (0/2) Epoch 7, batch 8250, loss[loss=0.4292, simple_loss=0.4738, pruned_loss=0.1923, over 13986.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05707, over 365.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3777, pruned_loss=0.1358, over 2786099.31 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06543, over 43490.77 utterances.], batch size: 365, lr: 6.15e-04
+2022-09-17 14:33:41,711 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-84000.pt
+2022-09-17 14:33:54,263 INFO [train.py:885] (0/2) Epoch 7, batch 8300, loss[loss=0.2386, simple_loss=0.2931, pruned_loss=0.0921, over 13762.00 frames. utt_duration=918.9 frames, utt_pad_proportion=0.06809, over 60.00 utterances.], tot_loss[loss=0.3267, simple_loss=0.3796, pruned_loss=0.1369, over 2784628.04 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06845, over 44124.76 utterances.], batch size: 60, lr: 6.15e-04
+2022-09-17 14:34:23,872 INFO [train.py:885] (0/2) Epoch 7, batch 8350, loss[loss=0.2243, simple_loss=0.2774, pruned_loss=0.08563, over 13880.00 frames. utt_duration=1323 frames, utt_pad_proportion=0.0721, over 42.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.378, pruned_loss=0.1363, over 2782617.67 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06974, over 43685.99 utterances.], batch size: 42, lr: 6.15e-04
+2022-09-17 14:34:53,269 INFO [train.py:885] (0/2) Epoch 7, batch 8400, loss[loss=0.2927, simple_loss=0.3398, pruned_loss=0.1228, over 14093.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.0547, over 98.00 utterances.], tot_loss[loss=0.3274, simple_loss=0.3813, pruned_loss=0.1368, over 2779493.56 frames. utt_duration=245 frames, utt_pad_proportion=0.07046, over 45646.79 utterances.], batch size: 98, lr: 6.14e-04
+2022-09-17 14:35:22,828 INFO [train.py:885] (0/2) Epoch 7, batch 8450, loss[loss=0.3737, simple_loss=0.4152, pruned_loss=0.1661, over 14249.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04547, over 141.00 utterances.], tot_loss[loss=0.3279, simple_loss=0.3815, pruned_loss=0.1371, over 2779975.61 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07122, over 45336.91 utterances.], batch size: 141, lr: 6.14e-04
+2022-09-17 14:35:52,870 INFO [train.py:885] (0/2) Epoch 7, batch 8500, loss[loss=0.1623, simple_loss=0.2222, pruned_loss=0.05117, over 13148.00 frames. utt_duration=1595 frames, utt_pad_proportion=0.1038, over 33.00 utterances.], tot_loss[loss=0.3297, simple_loss=0.3835, pruned_loss=0.1379, over 2781457.42 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07006, over 46115.16 utterances.], batch size: 33, lr: 6.14e-04
+2022-09-17 14:36:22,451 INFO [train.py:885] (0/2) Epoch 7, batch 8550, loss[loss=0.2675, simple_loss=0.3376, pruned_loss=0.0987, over 14197.00 frames. utt_duration=639.6 frames, utt_pad_proportion=0.04545, over 89.00 utterances.], tot_loss[loss=0.3256, simple_loss=0.38, pruned_loss=0.1356, over 2785891.66 frames. utt_duration=252 frames, utt_pad_proportion=0.06737, over 44483.56 utterances.], batch size: 89, lr: 6.14e-04
+2022-09-17 14:36:51,743 INFO [train.py:885] (0/2) Epoch 7, batch 8600, loss[loss=0.2319, simple_loss=0.2934, pruned_loss=0.08522, over 13874.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.05987, over 69.00 utterances.], tot_loss[loss=0.3273, simple_loss=0.3815, pruned_loss=0.1365, over 2782977.63 frames. utt_duration=246.4 frames, utt_pad_proportion=0.0702, over 45453.24 utterances.], batch size: 69, lr: 6.14e-04
+2022-09-17 14:37:21,055 INFO [train.py:885] (0/2) Epoch 7, batch 8650, loss[loss=0.2228, simple_loss=0.2747, pruned_loss=0.0855, over 13663.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.07811, over 50.00 utterances.], tot_loss[loss=0.3273, simple_loss=0.3805, pruned_loss=0.137, over 2784369.10 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06807, over 44223.26 utterances.], batch size: 50, lr: 6.14e-04
+2022-09-17 14:37:50,440 INFO [train.py:885] (0/2) Epoch 7, batch 8700, loss[loss=0.3661, simple_loss=0.4497, pruned_loss=0.1412, over 13573.00 frames. utt_duration=98.37 frames, utt_pad_proportion=0.08064, over 560.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3839, pruned_loss=0.1383, over 2779759.54 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07229, over 46240.56 utterances.], batch size: 560, lr: 6.13e-04
+2022-09-17 14:38:20,131 INFO [train.py:885] (0/2) Epoch 7, batch 8750, loss[loss=0.2029, simple_loss=0.27, pruned_loss=0.06794, over 13785.00 frames. utt_duration=800.6 frames, utt_pad_proportion=0.06803, over 69.00 utterances.], tot_loss[loss=0.3312, simple_loss=0.3847, pruned_loss=0.1388, over 2779886.50 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07251, over 46671.68 utterances.], batch size: 69, lr: 6.13e-04
+2022-09-17 14:38:49,532 INFO [train.py:885] (0/2) Epoch 7, batch 8800, loss[loss=0.2184, simple_loss=0.2768, pruned_loss=0.07998, over 13862.00 frames. utt_duration=925.8 frames, utt_pad_proportion=0.0667, over 60.00 utterances.], tot_loss[loss=0.3319, simple_loss=0.3852, pruned_loss=0.1393, over 2781491.81 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07157, over 46581.90 utterances.], batch size: 60, lr: 6.13e-04
+2022-09-17 14:39:19,350 INFO [train.py:885] (0/2) Epoch 7, batch 8850, loss[loss=0.2934, simple_loss=0.3574, pruned_loss=0.1147, over 14330.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04028, over 167.00 utterances.], tot_loss[loss=0.3294, simple_loss=0.3836, pruned_loss=0.1376, over 2781653.26 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07249, over 46690.17 utterances.], batch size: 167, lr: 6.13e-04
+2022-09-17 14:39:48,488 INFO [train.py:885] (0/2) Epoch 7, batch 8900, loss[loss=0.2998, simple_loss=0.3494, pruned_loss=0.1251, over 14310.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03949, over 120.00 utterances.], tot_loss[loss=0.3289, simple_loss=0.3826, pruned_loss=0.1376, over 2783594.40 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07127, over 45622.18 utterances.], batch size: 120, lr: 6.13e-04
+2022-09-17 14:40:18,580 INFO [train.py:885] (0/2) Epoch 7, batch 8950, loss[loss=0.3522, simple_loss=0.4333, pruned_loss=0.1356, over 13576.00 frames. utt_duration=115.3 frames, utt_pad_proportion=0.08467, over 477.00 utterances.], tot_loss[loss=0.3327, simple_loss=0.3863, pruned_loss=0.1396, over 2779145.24 frames. utt_duration=233 frames, utt_pad_proportion=0.07386, over 48015.18 utterances.], batch size: 477, lr: 6.12e-04
+2022-09-17 14:40:47,791 INFO [train.py:885] (0/2) Epoch 7, batch 9000, loss[loss=0.254, simple_loss=0.3177, pruned_loss=0.09519, over 14112.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05189, over 98.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3831, pruned_loss=0.1372, over 2778675.32 frames. utt_duration=237.6 frames, utt_pad_proportion=0.0732, over 47080.62 utterances.], batch size: 98, lr: 6.12e-04
+2022-09-17 14:40:47,792 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 14:40:52,492 INFO [train.py:914] (0/2) Epoch 7, validation: loss=0.2185, simple_loss=0.2938, pruned_loss=0.07161, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 14:41:22,400 INFO [train.py:885] (0/2) Epoch 7, batch 9050, loss[loss=0.3346, simple_loss=0.3855, pruned_loss=0.1418, over 14347.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03885, over 167.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3857, pruned_loss=0.138, over 2769397.17 frames. utt_duration=229.3 frames, utt_pad_proportion=0.07597, over 48622.02 utterances.], batch size: 167, lr: 6.12e-04
+2022-09-17 14:41:52,113 INFO [train.py:885] (0/2) Epoch 7, batch 9100, loss[loss=0.3222, simple_loss=0.3854, pruned_loss=0.1295, over 14277.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04033, over 225.00 utterances.], tot_loss[loss=0.3336, simple_loss=0.3886, pruned_loss=0.1393, over 2769216.41 frames. utt_duration=223.6 frames, utt_pad_proportion=0.07651, over 49858.90 utterances.], batch size: 225, lr: 6.12e-04
+2022-09-17 14:42:21,777 INFO [train.py:885] (0/2) Epoch 7, batch 9150, loss[loss=0.3291, simple_loss=0.3734, pruned_loss=0.1424, over 14317.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03996, over 154.00 utterances.], tot_loss[loss=0.333, simple_loss=0.3873, pruned_loss=0.1394, over 2773229.73 frames. utt_duration=230 frames, utt_pad_proportion=0.07599, over 48551.56 utterances.], batch size: 154, lr: 6.12e-04
+2022-09-17 14:42:50,685 INFO [train.py:885] (0/2) Epoch 7, batch 9200, loss[loss=0.3046, simple_loss=0.3434, pruned_loss=0.1329, over 14115.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05164, over 98.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3853, pruned_loss=0.1388, over 2776460.38 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07449, over 47660.34 utterances.], batch size: 98, lr: 6.12e-04
+2022-09-17 14:43:27,960 INFO [train.py:885] (0/2) Epoch 7, batch 9250, loss[loss=0.2352, simple_loss=0.3042, pruned_loss=0.0831, over 14092.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05327, over 98.00 utterances.], tot_loss[loss=0.3331, simple_loss=0.3872, pruned_loss=0.1395, over 2779437.41 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07454, over 47681.36 utterances.], batch size: 98, lr: 6.11e-04
+2022-09-17 14:43:57,730 INFO [train.py:885] (0/2) Epoch 7, batch 9300, loss[loss=0.2822, simple_loss=0.3461, pruned_loss=0.1092, over 14162.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.04542, over 109.00 utterances.], tot_loss[loss=0.3328, simple_loss=0.3873, pruned_loss=0.1392, over 2782845.83 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07175, over 48043.02 utterances.], batch size: 109, lr: 6.11e-04
+2022-09-17 14:44:27,544 INFO [train.py:885] (0/2) Epoch 7, batch 9350, loss[loss=0.5269, simple_loss=0.5648, pruned_loss=0.2445, over 13141.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.329, simple_loss=0.384, pruned_loss=0.1371, over 2783240.05 frames. utt_duration=237.3 frames, utt_pad_proportion=0.0702, over 47213.00 utterances.], batch size: 653, lr: 6.11e-04
+2022-09-17 14:44:56,968 INFO [train.py:885] (0/2) Epoch 7, batch 9400, loss[loss=0.2495, simple_loss=0.3071, pruned_loss=0.096, over 14252.00 frames. utt_duration=642.1 frames, utt_pad_proportion=0.04444, over 89.00 utterances.], tot_loss[loss=0.3237, simple_loss=0.3787, pruned_loss=0.1344, over 2782829.34 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07003, over 45422.87 utterances.], batch size: 89, lr: 6.11e-04
+2022-09-17 14:45:26,474 INFO [train.py:885] (0/2) Epoch 7, batch 9450, loss[loss=0.2539, simple_loss=0.3098, pruned_loss=0.09905, over 14025.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.05877, over 79.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.3798, pruned_loss=0.1348, over 2783869.59 frames. utt_duration=246 frames, utt_pad_proportion=0.0697, over 45535.39 utterances.], batch size: 79, lr: 6.11e-04
+2022-09-17 14:45:55,851 INFO [train.py:885] (0/2) Epoch 7, batch 9500, loss[loss=0.2637, simple_loss=0.3337, pruned_loss=0.09684, over 14292.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03896, over 130.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.3801, pruned_loss=0.1352, over 2781783.32 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07017, over 45245.37 utterances.], batch size: 130, lr: 6.11e-04
+2022-09-17 14:46:26,309 INFO [train.py:885] (0/2) Epoch 7, batch 9550, loss[loss=0.3743, simple_loss=0.4378, pruned_loss=0.1554, over 14001.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05558, over 365.00 utterances.], tot_loss[loss=0.3297, simple_loss=0.3838, pruned_loss=0.1378, over 2779825.45 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07248, over 46630.96 utterances.], batch size: 365, lr: 6.10e-04
+2022-09-17 14:46:55,951 INFO [train.py:885] (0/2) Epoch 7, batch 9600, loss[loss=0.4411, simple_loss=0.4789, pruned_loss=0.2017, over 14029.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05638, over 366.00 utterances.], tot_loss[loss=0.331, simple_loss=0.3847, pruned_loss=0.1387, over 2784259.52 frames. utt_duration=244 frames, utt_pad_proportion=0.07056, over 45925.28 utterances.], batch size: 366, lr: 6.10e-04
+2022-09-17 14:47:25,248 INFO [train.py:885] (0/2) Epoch 7, batch 9650, loss[loss=0.3777, simple_loss=0.4376, pruned_loss=0.1589, over 14023.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05749, over 366.00 utterances.], tot_loss[loss=0.332, simple_loss=0.3858, pruned_loss=0.1391, over 2785222.22 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07066, over 46793.96 utterances.], batch size: 366, lr: 6.10e-04
+2022-09-17 14:47:54,641 INFO [train.py:885] (0/2) Epoch 7, batch 9700, loss[loss=0.589, simple_loss=0.6444, pruned_loss=0.2668, over 12529.00 frames. utt_duration=63.44 frames, utt_pad_proportion=0.1427, over 810.00 utterances.], tot_loss[loss=0.3297, simple_loss=0.3829, pruned_loss=0.1383, over 2785691.85 frames. utt_duration=247 frames, utt_pad_proportion=0.0708, over 45381.62 utterances.], batch size: 810, lr: 6.10e-04
+2022-09-17 14:48:24,024 INFO [train.py:885] (0/2) Epoch 7, batch 9750, loss[loss=0.6442, simple_loss=0.6735, pruned_loss=0.3075, over 12575.00 frames. utt_duration=63.41 frames, utt_pad_proportion=0.1431, over 813.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3837, pruned_loss=0.1383, over 2785097.40 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07147, over 45547.89 utterances.], batch size: 813, lr: 6.10e-04
+2022-09-17 14:48:53,578 INFO [train.py:885] (0/2) Epoch 7, batch 9800, loss[loss=0.3557, simple_loss=0.3946, pruned_loss=0.1584, over 14312.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.04118, over 141.00 utterances.], tot_loss[loss=0.3294, simple_loss=0.3827, pruned_loss=0.1381, over 2788999.84 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06882, over 44477.86 utterances.], batch size: 141, lr: 6.09e-04
+2022-09-17 14:49:22,951 INFO [train.py:885] (0/2) Epoch 7, batch 9850, loss[loss=0.3352, simple_loss=0.3965, pruned_loss=0.137, over 14341.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03656, over 210.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3843, pruned_loss=0.1392, over 2791288.28 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06869, over 44958.69 utterances.], batch size: 210, lr: 6.09e-04
+2022-09-17 14:49:52,778 INFO [train.py:885] (0/2) Epoch 7, batch 9900, loss[loss=0.3457, simple_loss=0.4003, pruned_loss=0.1455, over 14406.00 frames. utt_duration=237.6 frames, utt_pad_proportion=0.03028, over 244.00 utterances.], tot_loss[loss=0.3333, simple_loss=0.3866, pruned_loss=0.14, over 2789536.30 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07082, over 46690.81 utterances.], batch size: 244, lr: 6.09e-04
+2022-09-17 14:50:22,232 INFO [train.py:885] (0/2) Epoch 7, batch 9950, loss[loss=0.263, simple_loss=0.3137, pruned_loss=0.1061, over 14120.00 frames. utt_duration=577.8 frames, utt_pad_proportion=0.05125, over 98.00 utterances.], tot_loss[loss=0.3296, simple_loss=0.3833, pruned_loss=0.1379, over 2786937.52 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06856, over 45815.60 utterances.], batch size: 98, lr: 6.09e-04
+2022-09-17 14:50:52,313 INFO [train.py:885] (0/2) Epoch 7, batch 10000, loss[loss=0.3311, simple_loss=0.3739, pruned_loss=0.1442, over 14317.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03877, over 120.00 utterances.], tot_loss[loss=0.3307, simple_loss=0.3845, pruned_loss=0.1385, over 2783543.56 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07124, over 46417.62 utterances.], batch size: 120, lr: 6.09e-04
+2022-09-17 14:51:28,693 INFO [train.py:885] (0/2) Epoch 7, batch 10050, loss[loss=0.4029, simple_loss=0.4745, pruned_loss=0.1657, over 13665.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07862, over 477.00 utterances.], tot_loss[loss=0.3274, simple_loss=0.3823, pruned_loss=0.1362, over 2780802.91 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07197, over 46656.92 utterances.], batch size: 477, lr: 6.09e-04
+2022-09-17 14:51:58,228 INFO [train.py:885] (0/2) Epoch 7, batch 10100, loss[loss=0.2627, simple_loss=0.3262, pruned_loss=0.09962, over 13887.00 frames. utt_duration=806.5 frames, utt_pad_proportion=0.06007, over 69.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.3857, pruned_loss=0.1387, over 2787530.36 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06915, over 46315.46 utterances.], batch size: 69, lr: 6.08e-04
+2022-09-17 14:52:28,145 INFO [train.py:885] (0/2) Epoch 7, batch 10150, loss[loss=0.3647, simple_loss=0.4458, pruned_loss=0.1418, over 13669.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07315, over 478.00 utterances.], tot_loss[loss=0.3373, simple_loss=0.3903, pruned_loss=0.1422, over 2785589.08 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07099, over 48049.94 utterances.], batch size: 478, lr: 6.08e-04
+2022-09-17 14:53:05,759 INFO [train.py:885] (0/2) Epoch 7, batch 10200, loss[loss=0.3426, simple_loss=0.3947, pruned_loss=0.1452, over 14319.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03902, over 262.00 utterances.], tot_loss[loss=0.3337, simple_loss=0.3863, pruned_loss=0.1406, over 2786876.22 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07018, over 45521.33 utterances.], batch size: 262, lr: 6.08e-04
+2022-09-17 14:53:35,505 INFO [train.py:885] (0/2) Epoch 7, batch 10250, loss[loss=0.409, simple_loss=0.4475, pruned_loss=0.1853, over 14219.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04317, over 306.00 utterances.], tot_loss[loss=0.3315, simple_loss=0.3843, pruned_loss=0.1394, over 2787561.49 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06801, over 44605.18 utterances.], batch size: 306, lr: 6.08e-04
+2022-09-17 14:54:04,745 INFO [train.py:885] (0/2) Epoch 7, batch 10300, loss[loss=0.3069, simple_loss=0.3673, pruned_loss=0.1232, over 14344.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03657, over 210.00 utterances.], tot_loss[loss=0.3271, simple_loss=0.3806, pruned_loss=0.1368, over 2788513.17 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06591, over 43265.16 utterances.], batch size: 210, lr: 6.08e-04
+2022-09-17 14:54:34,804 INFO [train.py:885] (0/2) Epoch 7, batch 10350, loss[loss=0.2086, simple_loss=0.2649, pruned_loss=0.07616, over 13316.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.0918, over 41.00 utterances.], tot_loss[loss=0.3303, simple_loss=0.383, pruned_loss=0.1389, over 2791507.82 frames. utt_duration=259 frames, utt_pad_proportion=0.06608, over 43354.32 utterances.], batch size: 41, lr: 6.08e-04
+2022-09-17 14:55:04,520 INFO [train.py:885] (0/2) Epoch 7, batch 10400, loss[loss=0.2923, simple_loss=0.3419, pruned_loss=0.1213, over 14192.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04367, over 109.00 utterances.], tot_loss[loss=0.3315, simple_loss=0.3838, pruned_loss=0.1396, over 2783013.04 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07129, over 44910.01 utterances.], batch size: 109, lr: 6.07e-04
+2022-09-17 14:55:33,907 INFO [train.py:885] (0/2) Epoch 7, batch 10450, loss[loss=0.3904, simple_loss=0.4619, pruned_loss=0.1595, over 13828.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06781, over 411.00 utterances.], tot_loss[loss=0.3291, simple_loss=0.3826, pruned_loss=0.1378, over 2781670.39 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07036, over 44921.52 utterances.], batch size: 411, lr: 6.07e-04
+2022-09-17 14:56:04,160 INFO [train.py:885] (0/2) Epoch 7, batch 10500, loss[loss=0.2974, simple_loss=0.3442, pruned_loss=0.1253, over 13886.00 frames. utt_duration=806.5 frames, utt_pad_proportion=0.06108, over 69.00 utterances.], tot_loss[loss=0.3258, simple_loss=0.38, pruned_loss=0.1358, over 2779762.98 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07005, over 44634.58 utterances.], batch size: 69, lr: 6.07e-04
+2022-09-17 14:56:34,305 INFO [train.py:885] (0/2) Epoch 7, batch 10550, loss[loss=0.2379, simple_loss=0.3005, pruned_loss=0.08764, over 13964.00 frames. utt_duration=811 frames, utt_pad_proportion=0.05585, over 69.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3803, pruned_loss=0.1364, over 2782007.15 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06958, over 44101.55 utterances.], batch size: 69, lr: 6.07e-04
+2022-09-17 14:57:02,865 INFO [train.py:885] (0/2) Epoch 7, batch 10600, loss[loss=0.3587, simple_loss=0.4015, pruned_loss=0.1579, over 14352.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.0383, over 167.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3828, pruned_loss=0.1388, over 2786317.58 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06756, over 43694.25 utterances.], batch size: 167, lr: 6.07e-04
+2022-09-17 14:57:32,605 INFO [train.py:885] (0/2) Epoch 7, batch 10650, loss[loss=0.2266, simple_loss=0.2942, pruned_loss=0.07948, over 14052.00 frames. utt_duration=575 frames, utt_pad_proportion=0.0559, over 98.00 utterances.], tot_loss[loss=0.3245, simple_loss=0.3782, pruned_loss=0.1354, over 2780699.26 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06798, over 43175.28 utterances.], batch size: 98, lr: 6.06e-04
+2022-09-17 14:58:02,331 INFO [train.py:885] (0/2) Epoch 7, batch 10700, loss[loss=0.4536, simple_loss=0.4744, pruned_loss=0.2164, over 14223.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04429, over 335.00 utterances.], tot_loss[loss=0.3331, simple_loss=0.3855, pruned_loss=0.1403, over 2780146.87 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07207, over 45702.25 utterances.], batch size: 335, lr: 6.06e-04
+2022-09-17 14:58:32,074 INFO [train.py:885] (0/2) Epoch 7, batch 10750, loss[loss=0.3447, simple_loss=0.4037, pruned_loss=0.1428, over 14308.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03904, over 283.00 utterances.], tot_loss[loss=0.3338, simple_loss=0.3866, pruned_loss=0.1405, over 2782437.96 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06996, over 45747.88 utterances.], batch size: 283, lr: 6.06e-04
+2022-09-17 14:59:01,399 INFO [train.py:885] (0/2) Epoch 7, batch 10800, loss[loss=0.3773, simple_loss=0.4323, pruned_loss=0.1612, over 14259.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04144, over 225.00 utterances.], tot_loss[loss=0.3373, simple_loss=0.3899, pruned_loss=0.1423, over 2783461.58 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07146, over 46940.52 utterances.], batch size: 225, lr: 6.06e-04
+2022-09-17 14:59:31,292 INFO [train.py:885] (0/2) Epoch 7, batch 10850, loss[loss=0.2037, simple_loss=0.26, pruned_loss=0.0737, over 13651.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.08109, over 50.00 utterances.], tot_loss[loss=0.3373, simple_loss=0.39, pruned_loss=0.1423, over 2783562.81 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07254, over 47001.19 utterances.], batch size: 50, lr: 6.06e-04
+2022-09-17 15:00:00,401 INFO [train.py:885] (0/2) Epoch 7, batch 10900, loss[loss=0.5992, simple_loss=0.6532, pruned_loss=0.2726, over 12490.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.3331, simple_loss=0.3861, pruned_loss=0.1401, over 2782057.44 frames. utt_duration=244 frames, utt_pad_proportion=0.07078, over 45887.52 utterances.], batch size: 810, lr: 6.06e-04
+2022-09-17 15:00:30,278 INFO [train.py:885] (0/2) Epoch 7, batch 10950, loss[loss=0.1812, simple_loss=0.2323, pruned_loss=0.06507, over 13073.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1071, over 33.00 utterances.], tot_loss[loss=0.3333, simple_loss=0.3866, pruned_loss=0.14, over 2778408.26 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07283, over 46867.20 utterances.], batch size: 33, lr: 6.05e-04
+2022-09-17 15:00:59,734 INFO [train.py:885] (0/2) Epoch 7, batch 11000, loss[loss=0.3381, simple_loss=0.3961, pruned_loss=0.1401, over 14362.00 frames. utt_duration=320.4 frames, utt_pad_proportion=0.03487, over 180.00 utterances.], tot_loss[loss=0.3315, simple_loss=0.385, pruned_loss=0.139, over 2780147.63 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07142, over 46064.06 utterances.], batch size: 180, lr: 6.05e-04
+2022-09-17 15:01:29,409 INFO [train.py:885] (0/2) Epoch 7, batch 11050, loss[loss=0.3287, simple_loss=0.3791, pruned_loss=0.1392, over 14154.00 frames. utt_duration=520.8 frames, utt_pad_proportion=0.04617, over 109.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3832, pruned_loss=0.1386, over 2777673.95 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07135, over 45482.38 utterances.], batch size: 109, lr: 6.05e-04
+2022-09-17 15:01:58,896 INFO [train.py:885] (0/2) Epoch 7, batch 11100, loss[loss=0.2934, simple_loss=0.3582, pruned_loss=0.1143, over 14393.00 frames. utt_duration=346.1 frames, utt_pad_proportion=0.03596, over 167.00 utterances.], tot_loss[loss=0.3293, simple_loss=0.3828, pruned_loss=0.1379, over 2780721.39 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07092, over 45273.07 utterances.], batch size: 167, lr: 6.05e-04
+2022-09-17 15:02:28,653 INFO [train.py:885] (0/2) Epoch 7, batch 11150, loss[loss=0.1802, simple_loss=0.2359, pruned_loss=0.06221, over 13683.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08314, over 42.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3823, pruned_loss=0.1374, over 2777547.82 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07295, over 45016.51 utterances.], batch size: 42, lr: 6.05e-04
+2022-09-17 15:02:58,932 INFO [train.py:885] (0/2) Epoch 7, batch 11200, loss[loss=0.2678, simple_loss=0.3448, pruned_loss=0.09538, over 14304.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04116, over 154.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.3871, pruned_loss=0.139, over 2780258.05 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07343, over 47144.68 utterances.], batch size: 154, lr: 6.05e-04
+2022-09-17 15:03:28,007 INFO [train.py:885] (0/2) Epoch 7, batch 11250, loss[loss=0.2734, simple_loss=0.3255, pruned_loss=0.1107, over 13953.00 frames. utt_duration=707.9 frames, utt_pad_proportion=0.06363, over 79.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3858, pruned_loss=0.138, over 2779231.25 frames. utt_duration=238 frames, utt_pad_proportion=0.07295, over 46991.81 utterances.], batch size: 79, lr: 6.04e-04
+2022-09-17 15:03:57,497 INFO [train.py:885] (0/2) Epoch 7, batch 11300, loss[loss=0.2989, simple_loss=0.3675, pruned_loss=0.1152, over 14327.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03683, over 180.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3822, pruned_loss=0.1354, over 2781901.44 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07159, over 46164.04 utterances.], batch size: 180, lr: 6.04e-04
+2022-09-17 15:04:26,114 INFO [train.py:885] (0/2) Epoch 7, batch 11350, loss[loss=0.2439, simple_loss=0.3, pruned_loss=0.0939, over 13957.00 frames. utt_duration=931.9 frames, utt_pad_proportion=0.05772, over 60.00 utterances.], tot_loss[loss=0.3244, simple_loss=0.3801, pruned_loss=0.1344, over 2781768.77 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07202, over 45748.46 utterances.], batch size: 60, lr: 6.04e-04
+2022-09-17 15:04:56,185 INFO [train.py:885] (0/2) Epoch 7, batch 11400, loss[loss=0.4086, simple_loss=0.4691, pruned_loss=0.174, over 13644.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07811, over 561.00 utterances.], tot_loss[loss=0.3251, simple_loss=0.3809, pruned_loss=0.1347, over 2781457.23 frames. utt_duration=240 frames, utt_pad_proportion=0.07096, over 46638.91 utterances.], batch size: 561, lr: 6.04e-04
+2022-09-17 15:05:25,170 INFO [train.py:885] (0/2) Epoch 7, batch 11450, loss[loss=0.2033, simple_loss=0.2662, pruned_loss=0.0702, over 13903.00 frames. utt_duration=807.5 frames, utt_pad_proportion=0.06, over 69.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3765, pruned_loss=0.1326, over 2788193.43 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0685, over 43887.13 utterances.], batch size: 69, lr: 6.04e-04
+2022-09-17 15:05:55,591 INFO [train.py:885] (0/2) Epoch 7, batch 11500, loss[loss=0.3294, simple_loss=0.4173, pruned_loss=0.1208, over 13729.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07331, over 411.00 utterances.], tot_loss[loss=0.3274, simple_loss=0.3825, pruned_loss=0.1361, over 2784610.67 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07022, over 46023.32 utterances.], batch size: 411, lr: 6.04e-04
+2022-09-17 15:06:24,789 INFO [train.py:885] (0/2) Epoch 7, batch 11550, loss[loss=0.3476, simple_loss=0.407, pruned_loss=0.1441, over 14259.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.0411, over 225.00 utterances.], tot_loss[loss=0.3279, simple_loss=0.3832, pruned_loss=0.1363, over 2785403.27 frames. utt_duration=238.1 frames, utt_pad_proportion=0.06996, over 47089.05 utterances.], batch size: 225, lr: 6.03e-04
+2022-09-17 15:06:54,390 INFO [train.py:885] (0/2) Epoch 7, batch 11600, loss[loss=0.3421, simple_loss=0.4108, pruned_loss=0.1367, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.039, over 283.00 utterances.], tot_loss[loss=0.327, simple_loss=0.3818, pruned_loss=0.1361, over 2785856.08 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06907, over 46101.07 utterances.], batch size: 283, lr: 6.03e-04
+2022-09-17 15:07:23,615 INFO [train.py:885] (0/2) Epoch 7, batch 11650, loss[loss=0.4159, simple_loss=0.4684, pruned_loss=0.1817, over 13771.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07121, over 411.00 utterances.], tot_loss[loss=0.3301, simple_loss=0.3849, pruned_loss=0.1377, over 2784919.92 frames. utt_duration=235.3 frames, utt_pad_proportion=0.0714, over 47643.84 utterances.], batch size: 411, lr: 6.03e-04
+2022-09-17 15:07:53,114 INFO [train.py:885] (0/2) Epoch 7, batch 11700, loss[loss=0.1957, simple_loss=0.2461, pruned_loss=0.07258, over 13424.00 frames. utt_duration=1535 frames, utt_pad_proportion=0.08225, over 35.00 utterances.], tot_loss[loss=0.3256, simple_loss=0.38, pruned_loss=0.1355, over 2781532.74 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06989, over 45339.60 utterances.], batch size: 35, lr: 6.03e-04
+2022-09-17 15:08:22,636 INFO [train.py:885] (0/2) Epoch 7, batch 11750, loss[loss=0.193, simple_loss=0.2435, pruned_loss=0.07124, over 13474.00 frames. utt_duration=1285 frames, utt_pad_proportion=0.09708, over 42.00 utterances.], tot_loss[loss=0.324, simple_loss=0.3787, pruned_loss=0.1346, over 2778771.89 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06978, over 45339.70 utterances.], batch size: 42, lr: 6.03e-04
+2022-09-17 15:08:53,150 INFO [train.py:885] (0/2) Epoch 7, batch 11800, loss[loss=0.4045, simple_loss=0.4429, pruned_loss=0.183, over 14234.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04295, over 306.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3834, pruned_loss=0.1369, over 2779481.64 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07089, over 46659.15 utterances.], batch size: 306, lr: 6.02e-04
+2022-09-17 15:09:22,934 INFO [train.py:885] (0/2) Epoch 7, batch 11850, loss[loss=0.4024, simple_loss=0.4376, pruned_loss=0.1836, over 14241.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04198, over 306.00 utterances.], tot_loss[loss=0.33, simple_loss=0.3846, pruned_loss=0.1376, over 2783407.13 frames. utt_duration=238.1 frames, utt_pad_proportion=0.06929, over 47045.77 utterances.], batch size: 306, lr: 6.02e-04
+2022-09-17 15:09:52,394 INFO [train.py:885] (0/2) Epoch 7, batch 11900, loss[loss=0.2335, simple_loss=0.2995, pruned_loss=0.08373, over 13967.00 frames. utt_duration=811.2 frames, utt_pad_proportion=0.05459, over 69.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.3867, pruned_loss=0.1392, over 2784261.64 frames. utt_duration=236 frames, utt_pad_proportion=0.07009, over 47476.64 utterances.], batch size: 69, lr: 6.02e-04
+2022-09-17 15:10:21,965 INFO [train.py:885] (0/2) Epoch 7, batch 11950, loss[loss=0.3571, simple_loss=0.4262, pruned_loss=0.1439, over 13789.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07058, over 411.00 utterances.], tot_loss[loss=0.3312, simple_loss=0.3848, pruned_loss=0.1388, over 2778959.04 frames. utt_duration=239 frames, utt_pad_proportion=0.07113, over 46804.71 utterances.], batch size: 411, lr: 6.02e-04
+2022-09-17 15:10:51,480 INFO [train.py:885] (0/2) Epoch 7, batch 12000, loss[loss=0.3226, simple_loss=0.3686, pruned_loss=0.1383, over 14148.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04648, over 109.00 utterances.], tot_loss[loss=0.3361, simple_loss=0.3893, pruned_loss=0.1415, over 2780020.51 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07276, over 48259.24 utterances.], batch size: 109, lr: 6.02e-04
+2022-09-17 15:10:51,482 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 15:10:55,646 INFO [train.py:914] (0/2) Epoch 7, validation: loss=0.2161, simple_loss=0.2901, pruned_loss=0.07106, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 15:11:25,754 INFO [train.py:885] (0/2) Epoch 7, batch 12050, loss[loss=0.328, simple_loss=0.3854, pruned_loss=0.1353, over 14314.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03755, over 180.00 utterances.], tot_loss[loss=0.3364, simple_loss=0.3896, pruned_loss=0.1416, over 2780741.34 frames. utt_duration=228.9 frames, utt_pad_proportion=0.07352, over 48919.36 utterances.], batch size: 180, lr: 6.02e-04
+2022-09-17 15:11:55,115 INFO [train.py:885] (0/2) Epoch 7, batch 12100, loss[loss=0.6112, simple_loss=0.6571, pruned_loss=0.2827, over 12518.00 frames. utt_duration=63.41 frames, utt_pad_proportion=0.1431, over 810.00 utterances.], tot_loss[loss=0.3321, simple_loss=0.3855, pruned_loss=0.1394, over 2779179.08 frames. utt_duration=233 frames, utt_pad_proportion=0.0726, over 48021.97 utterances.], batch size: 810, lr: 6.01e-04
+2022-09-17 15:12:24,809 INFO [train.py:885] (0/2) Epoch 7, batch 12150, loss[loss=0.4246, simple_loss=0.4479, pruned_loss=0.2007, over 14186.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04547, over 306.00 utterances.], tot_loss[loss=0.3271, simple_loss=0.3811, pruned_loss=0.1366, over 2774937.30 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07273, over 46288.97 utterances.], batch size: 306, lr: 6.01e-04
+2022-09-17 15:12:53,839 INFO [train.py:885] (0/2) Epoch 7, batch 12200, loss[loss=0.3998, simple_loss=0.4389, pruned_loss=0.1803, over 14290.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.0405, over 283.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3773, pruned_loss=0.1342, over 2773186.11 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07344, over 45260.25 utterances.], batch size: 283, lr: 6.01e-04
+2022-09-17 15:13:24,015 INFO [train.py:885] (0/2) Epoch 7, batch 12250, loss[loss=0.4001, simple_loss=0.465, pruned_loss=0.1676, over 13788.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06981, over 411.00 utterances.], tot_loss[loss=0.3227, simple_loss=0.3775, pruned_loss=0.134, over 2771086.71 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07429, over 45643.58 utterances.], batch size: 411, lr: 6.01e-04
+2022-09-17 15:13:41,590 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-88000.pt
+2022-09-17 15:13:53,528 INFO [train.py:885] (0/2) Epoch 7, batch 12300, loss[loss=0.2351, simple_loss=0.3066, pruned_loss=0.08186, over 13937.00 frames. utt_duration=707 frames, utt_pad_proportion=0.0648, over 79.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3782, pruned_loss=0.135, over 2772526.32 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07249, over 45508.60 utterances.], batch size: 79, lr: 6.01e-04
+2022-09-17 15:14:23,112 INFO [train.py:885] (0/2) Epoch 7, batch 12350, loss[loss=0.2857, simple_loss=0.3408, pruned_loss=0.1153, over 14114.00 frames. utt_duration=716 frames, utt_pad_proportion=0.05286, over 79.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3753, pruned_loss=0.1333, over 2776679.90 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07093, over 44284.69 utterances.], batch size: 79, lr: 6.01e-04
+2022-09-17 15:14:52,662 INFO [train.py:885] (0/2) Epoch 7, batch 12400, loss[loss=0.341, simple_loss=0.3866, pruned_loss=0.1477, over 14282.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.04, over 225.00 utterances.], tot_loss[loss=0.3255, simple_loss=0.3788, pruned_loss=0.1361, over 2780621.30 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06989, over 44372.01 utterances.], batch size: 225, lr: 6.00e-04
+2022-09-17 15:15:22,113 INFO [train.py:885] (0/2) Epoch 7, batch 12450, loss[loss=0.2188, simple_loss=0.2868, pruned_loss=0.07537, over 13995.00 frames. utt_duration=710.2 frames, utt_pad_proportion=0.05932, over 79.00 utterances.], tot_loss[loss=0.3239, simple_loss=0.3776, pruned_loss=0.1351, over 2779215.34 frames. utt_duration=252.4 frames, utt_pad_proportion=0.0706, over 44301.80 utterances.], batch size: 79, lr: 6.00e-04
+2022-09-17 15:15:51,899 INFO [train.py:885] (0/2) Epoch 7, batch 12500, loss[loss=0.5092, simple_loss=0.5488, pruned_loss=0.2348, over 13167.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.327, simple_loss=0.381, pruned_loss=0.1366, over 2779976.48 frames. utt_duration=244.1 frames, utt_pad_proportion=0.0711, over 45838.28 utterances.], batch size: 653, lr: 6.00e-04
+2022-09-17 15:16:21,006 INFO [train.py:885] (0/2) Epoch 7, batch 12550, loss[loss=0.2238, simple_loss=0.2816, pruned_loss=0.08303, over 13745.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.07898, over 51.00 utterances.], tot_loss[loss=0.3296, simple_loss=0.3837, pruned_loss=0.1377, over 2779657.96 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07167, over 46474.48 utterances.], batch size: 51, lr: 6.00e-04
+2022-09-17 15:16:48,732 INFO [train.py:885] (0/2) Epoch 7, batch 12600, loss[loss=0.435, simple_loss=0.4779, pruned_loss=0.1961, over 13979.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05718, over 365.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.3825, pruned_loss=0.1369, over 2781850.15 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07115, over 45965.50 utterances.], batch size: 365, lr: 6.00e-04
+2022-09-17 15:17:00,145 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-7.pt
+2022-09-17 15:17:07,396 INFO [train.py:885] (0/2) Epoch 8, batch 0, loss[loss=0.3212, simple_loss=0.3873, pruned_loss=0.1276, over 14387.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03545, over 244.00 utterances.], tot_loss[loss=0.3212, simple_loss=0.3873, pruned_loss=0.1276, over 14387.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03545, over 244.00 utterances.], batch size: 244, lr: 5.75e-04
+2022-09-17 15:17:36,433 INFO [train.py:885] (0/2) Epoch 8, batch 50, loss[loss=0.3764, simple_loss=0.4574, pruned_loss=0.1478, over 13638.00 frames. utt_duration=98.86 frames, utt_pad_proportion=0.0761, over 560.00 utterances.], tot_loss[loss=0.3264, simple_loss=0.3822, pruned_loss=0.1353, over 627701.71 frames. utt_duration=242.5 frames, utt_pad_proportion=0.06885, over 10415.82 utterances.], batch size: 560, lr: 5.75e-04
+2022-09-17 15:18:06,509 INFO [train.py:885] (0/2) Epoch 8, batch 100, loss[loss=0.2424, simple_loss=0.3089, pruned_loss=0.08798, over 13275.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09379, over 41.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.3729, pruned_loss=0.1311, over 1104104.59 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06971, over 17739.32 utterances.], batch size: 41, lr: 5.75e-04
+2022-09-17 15:18:44,762 INFO [train.py:885] (0/2) Epoch 8, batch 150, loss[loss=0.349, simple_loss=0.4144, pruned_loss=0.1419, over 14244.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04267, over 225.00 utterances.], tot_loss[loss=0.3204, simple_loss=0.3756, pruned_loss=0.1326, over 1475839.70 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07092, over 24284.52 utterances.], batch size: 225, lr: 5.75e-04
+2022-09-17 15:19:14,083 INFO [train.py:885] (0/2) Epoch 8, batch 200, loss[loss=0.2671, simple_loss=0.3266, pruned_loss=0.1039, over 14099.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05276, over 98.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3762, pruned_loss=0.1328, over 1767624.43 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06833, over 28753.96 utterances.], batch size: 98, lr: 5.75e-04
+2022-09-17 15:19:43,883 INFO [train.py:885] (0/2) Epoch 8, batch 250, loss[loss=0.3646, simple_loss=0.4077, pruned_loss=0.1608, over 14318.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03892, over 262.00 utterances.], tot_loss[loss=0.3292, simple_loss=0.3842, pruned_loss=0.1371, over 1990749.39 frames. utt_duration=229.8 frames, utt_pad_proportion=0.07208, over 34876.52 utterances.], batch size: 262, lr: 5.74e-04
+2022-09-17 15:20:13,300 INFO [train.py:885] (0/2) Epoch 8, batch 300, loss[loss=0.2836, simple_loss=0.3361, pruned_loss=0.1155, over 14224.00 frames. utt_duration=523.5 frames, utt_pad_proportion=0.04117, over 109.00 utterances.], tot_loss[loss=0.3295, simple_loss=0.3842, pruned_loss=0.1374, over 2166344.74 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07201, over 37647.70 utterances.], batch size: 109, lr: 5.74e-04
+2022-09-17 15:20:43,053 INFO [train.py:885] (0/2) Epoch 8, batch 350, loss[loss=0.2638, simple_loss=0.3165, pruned_loss=0.1055, over 14322.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.0385, over 120.00 utterances.], tot_loss[loss=0.3327, simple_loss=0.3871, pruned_loss=0.1391, over 2299305.68 frames. utt_duration=229 frames, utt_pad_proportion=0.0736, over 40429.09 utterances.], batch size: 120, lr: 5.74e-04
+2022-09-17 15:21:12,052 INFO [train.py:885] (0/2) Epoch 8, batch 400, loss[loss=0.4543, simple_loss=0.5198, pruned_loss=0.1944, over 13120.00 frames. utt_duration=81.93 frames, utt_pad_proportion=0.1095, over 653.00 utterances.], tot_loss[loss=0.3294, simple_loss=0.3841, pruned_loss=0.1373, over 2405572.01 frames. utt_duration=235 frames, utt_pad_proportion=0.07233, over 41205.53 utterances.], batch size: 653, lr: 5.74e-04
+2022-09-17 15:21:41,866 INFO [train.py:885] (0/2) Epoch 8, batch 450, loss[loss=0.3112, simple_loss=0.375, pruned_loss=0.1237, over 14268.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04108, over 180.00 utterances.], tot_loss[loss=0.3339, simple_loss=0.3879, pruned_loss=0.14, over 2487242.14 frames. utt_duration=233.5 frames, utt_pad_proportion=0.0736, over 42883.83 utterances.], batch size: 180, lr: 5.74e-04
+2022-09-17 15:22:11,705 INFO [train.py:885] (0/2) Epoch 8, batch 500, loss[loss=0.2151, simple_loss=0.2782, pruned_loss=0.07601, over 13843.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06321, over 69.00 utterances.], tot_loss[loss=0.3305, simple_loss=0.3863, pruned_loss=0.1374, over 2553641.21 frames. utt_duration=230 frames, utt_pad_proportion=0.07355, over 44696.39 utterances.], batch size: 69, lr: 5.74e-04
+2022-09-17 15:22:41,257 INFO [train.py:885] (0/2) Epoch 8, batch 550, loss[loss=0.3647, simple_loss=0.4162, pruned_loss=0.1566, over 14306.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03844, over 180.00 utterances.], tot_loss[loss=0.331, simple_loss=0.3861, pruned_loss=0.138, over 2607155.36 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07074, over 45121.50 utterances.], batch size: 180, lr: 5.74e-04
+2022-09-17 15:23:10,532 INFO [train.py:885] (0/2) Epoch 8, batch 600, loss[loss=0.4179, simple_loss=0.4418, pruned_loss=0.1971, over 14362.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03543, over 195.00 utterances.], tot_loss[loss=0.3292, simple_loss=0.384, pruned_loss=0.1372, over 2644991.91 frames. utt_duration=238.1 frames, utt_pad_proportion=0.0708, over 44714.85 utterances.], batch size: 195, lr: 5.73e-04
+2022-09-17 15:23:39,845 INFO [train.py:885] (0/2) Epoch 8, batch 650, loss[loss=0.2019, simple_loss=0.256, pruned_loss=0.07388, over 13856.00 frames. utt_duration=925.4 frames, utt_pad_proportion=0.069, over 60.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3775, pruned_loss=0.1337, over 2672514.57 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07142, over 43374.53 utterances.], batch size: 60, lr: 5.73e-04
+2022-09-17 15:24:10,248 INFO [train.py:885] (0/2) Epoch 8, batch 700, loss[loss=0.139, simple_loss=0.186, pruned_loss=0.04603, over 13127.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1202, over 33.00 utterances.], tot_loss[loss=0.3225, simple_loss=0.3776, pruned_loss=0.1337, over 2686142.18 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07501, over 44274.03 utterances.], batch size: 33, lr: 5.73e-04
+2022-09-17 15:24:39,683 INFO [train.py:885] (0/2) Epoch 8, batch 750, loss[loss=0.4029, simple_loss=0.4464, pruned_loss=0.1797, over 14220.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04368, over 306.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3792, pruned_loss=0.1354, over 2706962.76 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07271, over 43885.16 utterances.], batch size: 306, lr: 5.73e-04
+2022-09-17 15:25:09,334 INFO [train.py:885] (0/2) Epoch 8, batch 800, loss[loss=0.3581, simple_loss=0.41, pruned_loss=0.1532, over 14269.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.03804, over 154.00 utterances.], tot_loss[loss=0.3239, simple_loss=0.3784, pruned_loss=0.1347, over 2724440.09 frames. utt_duration=250 frames, utt_pad_proportion=0.07213, over 43847.71 utterances.], batch size: 154, lr: 5.73e-04
+2022-09-17 15:25:38,569 INFO [train.py:885] (0/2) Epoch 8, batch 850, loss[loss=0.4128, simple_loss=0.4491, pruned_loss=0.1882, over 14250.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04207, over 335.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3758, pruned_loss=0.1329, over 2734931.28 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07138, over 43235.18 utterances.], batch size: 335, lr: 5.73e-04
+2022-09-17 15:26:08,437 INFO [train.py:885] (0/2) Epoch 8, batch 900, loss[loss=0.3175, simple_loss=0.3797, pruned_loss=0.1276, over 14268.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04459, over 141.00 utterances.], tot_loss[loss=0.3197, simple_loss=0.375, pruned_loss=0.1322, over 2743916.15 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07074, over 43380.03 utterances.], batch size: 141, lr: 5.72e-04
+2022-09-17 15:26:38,026 INFO [train.py:885] (0/2) Epoch 8, batch 950, loss[loss=0.4408, simple_loss=0.4632, pruned_loss=0.2092, over 14283.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03983, over 180.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3776, pruned_loss=0.1335, over 2751995.71 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06958, over 44665.52 utterances.], batch size: 180, lr: 5.72e-04
+2022-09-17 15:27:08,127 INFO [train.py:885] (0/2) Epoch 8, batch 1000, loss[loss=0.4773, simple_loss=0.5436, pruned_loss=0.2054, over 13126.00 frames. utt_duration=81.9 frames, utt_pad_proportion=0.1098, over 653.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3811, pruned_loss=0.1351, over 2759026.16 frames. utt_duration=241 frames, utt_pad_proportion=0.07146, over 46079.41 utterances.], batch size: 653, lr: 5.72e-04
+2022-09-17 15:27:36,938 INFO [train.py:885] (0/2) Epoch 8, batch 1050, loss[loss=0.3554, simple_loss=0.4378, pruned_loss=0.1365, over 13649.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07943, over 477.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.3791, pruned_loss=0.1342, over 2760441.76 frames. utt_duration=244 frames, utt_pad_proportion=0.07198, over 45526.82 utterances.], batch size: 477, lr: 5.72e-04
+2022-09-17 15:28:06,646 INFO [train.py:885] (0/2) Epoch 8, batch 1100, loss[loss=0.2944, simple_loss=0.3535, pruned_loss=0.1177, over 14384.00 frames. utt_duration=480.8 frames, utt_pad_proportion=0.03455, over 120.00 utterances.], tot_loss[loss=0.3274, simple_loss=0.3828, pruned_loss=0.136, over 2767264.94 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07206, over 47015.96 utterances.], batch size: 120, lr: 5.72e-04
+2022-09-17 15:28:36,174 INFO [train.py:885] (0/2) Epoch 8, batch 1150, loss[loss=0.3257, simple_loss=0.3814, pruned_loss=0.135, over 14313.00 frames. utt_duration=255.8 frames, utt_pad_proportion=0.0384, over 225.00 utterances.], tot_loss[loss=0.3283, simple_loss=0.3828, pruned_loss=0.1369, over 2775769.00 frames. utt_duration=242.8 frames, utt_pad_proportion=0.0702, over 46008.49 utterances.], batch size: 225, lr: 5.72e-04
+2022-09-17 15:29:06,521 INFO [train.py:885] (0/2) Epoch 8, batch 1200, loss[loss=0.4148, simple_loss=0.4492, pruned_loss=0.1902, over 14250.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04257, over 335.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3831, pruned_loss=0.1372, over 2780612.21 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06958, over 45275.76 utterances.], batch size: 335, lr: 5.71e-04
+2022-09-17 15:29:35,931 INFO [train.py:885] (0/2) Epoch 8, batch 1250, loss[loss=0.2945, simple_loss=0.3439, pruned_loss=0.1226, over 14344.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03751, over 130.00 utterances.], tot_loss[loss=0.3276, simple_loss=0.3818, pruned_loss=0.1367, over 2778480.66 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06977, over 44755.38 utterances.], batch size: 130, lr: 5.71e-04
+2022-09-17 15:30:04,890 INFO [train.py:885] (0/2) Epoch 8, batch 1300, loss[loss=0.241, simple_loss=0.2971, pruned_loss=0.09247, over 14065.00 frames. utt_duration=713.4 frames, utt_pad_proportion=0.05634, over 79.00 utterances.], tot_loss[loss=0.3317, simple_loss=0.385, pruned_loss=0.1392, over 2782143.14 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06968, over 45614.55 utterances.], batch size: 79, lr: 5.71e-04
+2022-09-17 15:30:34,450 INFO [train.py:885] (0/2) Epoch 8, batch 1350, loss[loss=0.3508, simple_loss=0.4351, pruned_loss=0.1333, over 13645.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07932, over 477.00 utterances.], tot_loss[loss=0.3321, simple_loss=0.3854, pruned_loss=0.1394, over 2782242.39 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06942, over 45966.39 utterances.], batch size: 477, lr: 5.71e-04
+2022-09-17 15:31:04,288 INFO [train.py:885] (0/2) Epoch 8, batch 1400, loss[loss=0.4871, simple_loss=0.5437, pruned_loss=0.2153, over 13560.00 frames. utt_duration=98.24 frames, utt_pad_proportion=0.08189, over 560.00 utterances.], tot_loss[loss=0.3342, simple_loss=0.3879, pruned_loss=0.1403, over 2780518.46 frames. utt_duration=234.2 frames, utt_pad_proportion=0.0714, over 47786.03 utterances.], batch size: 560, lr: 5.71e-04
+2022-09-17 15:31:39,328 INFO [train.py:885] (0/2) Epoch 8, batch 1450, loss[loss=0.3022, simple_loss=0.351, pruned_loss=0.1267, over 14280.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04132, over 120.00 utterances.], tot_loss[loss=0.3391, simple_loss=0.3928, pruned_loss=0.1427, over 2781600.66 frames. utt_duration=225.6 frames, utt_pad_proportion=0.07243, over 49653.06 utterances.], batch size: 120, lr: 5.71e-04
+2022-09-17 15:32:09,339 INFO [train.py:885] (0/2) Epoch 8, batch 1500, loss[loss=0.1563, simple_loss=0.2041, pruned_loss=0.0542, over 12564.00 frames. utt_duration=2095 frames, utt_pad_proportion=0.1605, over 24.00 utterances.], tot_loss[loss=0.3326, simple_loss=0.3871, pruned_loss=0.1391, over 2774646.56 frames. utt_duration=229.8 frames, utt_pad_proportion=0.0731, over 48614.84 utterances.], batch size: 24, lr: 5.71e-04
+2022-09-17 15:32:38,266 INFO [train.py:885] (0/2) Epoch 8, batch 1550, loss[loss=0.237, simple_loss=0.3072, pruned_loss=0.08343, over 14213.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04234, over 109.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3868, pruned_loss=0.138, over 2775366.61 frames. utt_duration=229.5 frames, utt_pad_proportion=0.07367, over 48689.89 utterances.], batch size: 109, lr: 5.70e-04
+2022-09-17 15:33:08,359 INFO [train.py:885] (0/2) Epoch 8, batch 1600, loss[loss=0.326, simple_loss=0.4168, pruned_loss=0.1176, over 13598.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08298, over 477.00 utterances.], tot_loss[loss=0.3357, simple_loss=0.3901, pruned_loss=0.1407, over 2777850.04 frames. utt_duration=228.2 frames, utt_pad_proportion=0.07459, over 49017.06 utterances.], batch size: 477, lr: 5.70e-04
+2022-09-17 15:33:38,237 INFO [train.py:885] (0/2) Epoch 8, batch 1650, loss[loss=0.1893, simple_loss=0.248, pruned_loss=0.0653, over 13367.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08776, over 41.00 utterances.], tot_loss[loss=0.3317, simple_loss=0.3854, pruned_loss=0.139, over 2778828.22 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07277, over 46873.58 utterances.], batch size: 41, lr: 5.70e-04
+2022-09-17 15:34:07,454 INFO [train.py:885] (0/2) Epoch 8, batch 1700, loss[loss=0.6043, simple_loss=0.6508, pruned_loss=0.2789, over 12569.00 frames. utt_duration=63.62 frames, utt_pad_proportion=0.1402, over 810.00 utterances.], tot_loss[loss=0.3307, simple_loss=0.3846, pruned_loss=0.1384, over 2778959.56 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07189, over 46122.70 utterances.], batch size: 810, lr: 5.70e-04
+2022-09-17 15:34:37,315 INFO [train.py:885] (0/2) Epoch 8, batch 1750, loss[loss=0.3094, simple_loss=0.3707, pruned_loss=0.124, over 14261.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.0435, over 154.00 utterances.], tot_loss[loss=0.3328, simple_loss=0.3871, pruned_loss=0.1393, over 2777370.70 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07398, over 47715.37 utterances.], batch size: 154, lr: 5.70e-04
+2022-09-17 15:35:06,701 INFO [train.py:885] (0/2) Epoch 8, batch 1800, loss[loss=0.2676, simple_loss=0.3375, pruned_loss=0.09884, over 14357.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03653, over 120.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.3857, pruned_loss=0.1387, over 2774568.49 frames. utt_duration=234.3 frames, utt_pad_proportion=0.0743, over 47671.09 utterances.], batch size: 120, lr: 5.70e-04
+2022-09-17 15:35:36,431 INFO [train.py:885] (0/2) Epoch 8, batch 1850, loss[loss=0.3286, simple_loss=0.3876, pruned_loss=0.1348, over 14343.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03652, over 210.00 utterances.], tot_loss[loss=0.3298, simple_loss=0.3844, pruned_loss=0.1376, over 2773775.76 frames. utt_duration=234 frames, utt_pad_proportion=0.07679, over 47718.94 utterances.], batch size: 210, lr: 5.69e-04
+2022-09-17 15:36:05,835 INFO [train.py:885] (0/2) Epoch 8, batch 1900, loss[loss=0.2123, simple_loss=0.2795, pruned_loss=0.07255, over 13989.00 frames. utt_duration=934 frames, utt_pad_proportion=0.06136, over 60.00 utterances.], tot_loss[loss=0.3269, simple_loss=0.3818, pruned_loss=0.136, over 2770041.72 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07642, over 46708.27 utterances.], batch size: 60, lr: 5.69e-04
+2022-09-17 15:36:35,675 INFO [train.py:885] (0/2) Epoch 8, batch 1950, loss[loss=0.3853, simple_loss=0.4137, pruned_loss=0.1784, over 14332.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03675, over 154.00 utterances.], tot_loss[loss=0.3239, simple_loss=0.379, pruned_loss=0.1344, over 2772809.09 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07397, over 45450.56 utterances.], batch size: 154, lr: 5.69e-04
+2022-09-17 15:37:05,183 INFO [train.py:885] (0/2) Epoch 8, batch 2000, loss[loss=0.3995, simple_loss=0.4458, pruned_loss=0.1766, over 14362.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03275, over 244.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3827, pruned_loss=0.1374, over 2778330.56 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07247, over 45724.79 utterances.], batch size: 244, lr: 5.69e-04
+2022-09-17 15:37:34,936 INFO [train.py:885] (0/2) Epoch 8, batch 2050, loss[loss=0.6014, simple_loss=0.6499, pruned_loss=0.2764, over 12385.00 frames. utt_duration=62.72 frames, utt_pad_proportion=0.1524, over 810.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3842, pruned_loss=0.1381, over 2779918.58 frames. utt_duration=240.1 frames, utt_pad_proportion=0.0732, over 46598.60 utterances.], batch size: 810, lr: 5.69e-04
+2022-09-17 15:38:04,558 INFO [train.py:885] (0/2) Epoch 8, batch 2100, loss[loss=0.3422, simple_loss=0.3982, pruned_loss=0.1431, over 14334.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03773, over 195.00 utterances.], tot_loss[loss=0.326, simple_loss=0.3817, pruned_loss=0.1352, over 2777745.10 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07335, over 46726.44 utterances.], batch size: 195, lr: 5.69e-04
+2022-09-17 15:38:34,388 INFO [train.py:885] (0/2) Epoch 8, batch 2150, loss[loss=0.3132, simple_loss=0.3646, pruned_loss=0.1309, over 14264.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04457, over 141.00 utterances.], tot_loss[loss=0.3234, simple_loss=0.3791, pruned_loss=0.1339, over 2774045.74 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07411, over 46162.98 utterances.], batch size: 141, lr: 5.68e-04
+2022-09-17 15:39:03,723 INFO [train.py:885] (0/2) Epoch 8, batch 2200, loss[loss=0.4184, simple_loss=0.4431, pruned_loss=0.1969, over 14319.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03963, over 262.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3773, pruned_loss=0.1342, over 2775230.53 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07212, over 44780.77 utterances.], batch size: 262, lr: 5.68e-04
+2022-09-17 15:39:33,352 INFO [train.py:885] (0/2) Epoch 8, batch 2250, loss[loss=0.3297, simple_loss=0.3909, pruned_loss=0.1343, over 14334.00 frames. utt_duration=254.1 frames, utt_pad_proportion=0.03748, over 227.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3755, pruned_loss=0.1331, over 2775607.62 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07282, over 44359.07 utterances.], batch size: 227, lr: 5.68e-04
+2022-09-17 15:40:02,654 INFO [train.py:885] (0/2) Epoch 8, batch 2300, loss[loss=0.2677, simple_loss=0.3128, pruned_loss=0.1113, over 13856.00 frames. utt_duration=925.1 frames, utt_pad_proportion=0.06459, over 60.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.379, pruned_loss=0.1357, over 2776411.52 frames. utt_duration=250 frames, utt_pad_proportion=0.07007, over 44689.82 utterances.], batch size: 60, lr: 5.68e-04
+2022-09-17 15:40:32,293 INFO [train.py:885] (0/2) Epoch 8, batch 2350, loss[loss=0.2939, simple_loss=0.3651, pruned_loss=0.1113, over 14314.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03738, over 180.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3787, pruned_loss=0.1353, over 2779804.11 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06955, over 44267.89 utterances.], batch size: 180, lr: 5.68e-04
+2022-09-17 15:41:02,584 INFO [train.py:885] (0/2) Epoch 8, batch 2400, loss[loss=0.3156, simple_loss=0.4115, pruned_loss=0.1099, over 13809.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06943, over 411.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3804, pruned_loss=0.1355, over 2777193.91 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07086, over 45945.90 utterances.], batch size: 411, lr: 5.68e-04
+2022-09-17 15:41:32,345 INFO [train.py:885] (0/2) Epoch 8, batch 2450, loss[loss=0.1702, simple_loss=0.2392, pruned_loss=0.05065, over 12319.00 frames. utt_duration=2055 frames, utt_pad_proportion=0.1517, over 24.00 utterances.], tot_loss[loss=0.3262, simple_loss=0.3807, pruned_loss=0.1359, over 2777301.67 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07198, over 45818.68 utterances.], batch size: 24, lr: 5.68e-04
+2022-09-17 15:42:02,097 INFO [train.py:885] (0/2) Epoch 8, batch 2500, loss[loss=0.4002, simple_loss=0.4728, pruned_loss=0.1638, over 13659.00 frames. utt_duration=98.9 frames, utt_pad_proportion=0.07572, over 560.00 utterances.], tot_loss[loss=0.3261, simple_loss=0.3812, pruned_loss=0.1355, over 2778929.56 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07296, over 46244.21 utterances.], batch size: 560, lr: 5.67e-04
+2022-09-17 15:42:31,286 INFO [train.py:885] (0/2) Epoch 8, batch 2550, loss[loss=0.4247, simple_loss=0.4485, pruned_loss=0.2004, over 14237.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04316, over 335.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3806, pruned_loss=0.1361, over 2778551.31 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07176, over 45840.53 utterances.], batch size: 335, lr: 5.67e-04
+2022-09-17 15:43:01,491 INFO [train.py:885] (0/2) Epoch 8, batch 2600, loss[loss=0.3534, simple_loss=0.4097, pruned_loss=0.1485, over 14217.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04448, over 306.00 utterances.], tot_loss[loss=0.328, simple_loss=0.382, pruned_loss=0.137, over 2778450.71 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07247, over 45711.09 utterances.], batch size: 306, lr: 5.67e-04
+2022-09-17 15:43:30,511 INFO [train.py:885] (0/2) Epoch 8, batch 2650, loss[loss=0.4579, simple_loss=0.4725, pruned_loss=0.2217, over 14201.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04506, over 335.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3825, pruned_loss=0.1375, over 2775887.09 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07313, over 45991.71 utterances.], batch size: 335, lr: 5.67e-04
+2022-09-17 15:44:00,532 INFO [train.py:885] (0/2) Epoch 8, batch 2700, loss[loss=0.6627, simple_loss=0.6755, pruned_loss=0.3249, over 12508.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1448, over 810.00 utterances.], tot_loss[loss=0.3345, simple_loss=0.3882, pruned_loss=0.1404, over 2775864.38 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07539, over 48750.45 utterances.], batch size: 810, lr: 5.67e-04
+2022-09-17 15:44:29,589 INFO [train.py:885] (0/2) Epoch 8, batch 2750, loss[loss=0.1685, simple_loss=0.2288, pruned_loss=0.05411, over 13655.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08647, over 42.00 utterances.], tot_loss[loss=0.3307, simple_loss=0.3849, pruned_loss=0.1382, over 2781143.58 frames. utt_duration=236 frames, utt_pad_proportion=0.07302, over 47434.64 utterances.], batch size: 42, lr: 5.67e-04
+2022-09-17 15:44:59,537 INFO [train.py:885] (0/2) Epoch 8, batch 2800, loss[loss=0.275, simple_loss=0.3274, pruned_loss=0.1113, over 13329.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08879, over 41.00 utterances.], tot_loss[loss=0.3269, simple_loss=0.3815, pruned_loss=0.1362, over 2781331.93 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07103, over 45622.60 utterances.], batch size: 41, lr: 5.66e-04
+2022-09-17 15:45:28,929 INFO [train.py:885] (0/2) Epoch 8, batch 2850, loss[loss=0.246, simple_loss=0.3048, pruned_loss=0.09361, over 14094.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.0531, over 98.00 utterances.], tot_loss[loss=0.3254, simple_loss=0.3805, pruned_loss=0.1351, over 2782936.01 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07057, over 45194.33 utterances.], batch size: 98, lr: 5.66e-04
+2022-09-17 15:45:58,838 INFO [train.py:885] (0/2) Epoch 8, batch 2900, loss[loss=0.4314, simple_loss=0.4608, pruned_loss=0.201, over 14171.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.0465, over 306.00 utterances.], tot_loss[loss=0.3245, simple_loss=0.3795, pruned_loss=0.1348, over 2782037.98 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07178, over 45541.60 utterances.], batch size: 306, lr: 5.66e-04
+2022-09-17 15:46:28,186 INFO [train.py:885] (0/2) Epoch 8, batch 2950, loss[loss=0.184, simple_loss=0.2462, pruned_loss=0.06094, over 13558.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08646, over 50.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.3802, pruned_loss=0.1351, over 2780575.88 frames. utt_duration=245 frames, utt_pad_proportion=0.0711, over 45674.99 utterances.], batch size: 50, lr: 5.66e-04
+2022-09-17 15:46:57,841 INFO [train.py:885] (0/2) Epoch 8, batch 3000, loss[loss=0.6264, simple_loss=0.6645, pruned_loss=0.2942, over 12539.00 frames. utt_duration=63.38 frames, utt_pad_proportion=0.1435, over 811.00 utterances.], tot_loss[loss=0.326, simple_loss=0.3806, pruned_loss=0.1358, over 2778881.35 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07123, over 45248.67 utterances.], batch size: 811, lr: 5.66e-04
+2022-09-17 15:46:57,842 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 15:47:02,531 INFO [train.py:914] (0/2) Epoch 8, validation: loss=0.216, simple_loss=0.2905, pruned_loss=0.07074, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 15:47:32,013 INFO [train.py:885] (0/2) Epoch 8, batch 3050, loss[loss=0.3636, simple_loss=0.4471, pruned_loss=0.14, over 13654.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0798, over 477.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3791, pruned_loss=0.1346, over 2779241.80 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07038, over 44593.54 utterances.], batch size: 477, lr: 5.66e-04
+2022-09-17 15:48:00,821 INFO [train.py:885] (0/2) Epoch 8, batch 3100, loss[loss=0.2438, simple_loss=0.3086, pruned_loss=0.08951, over 14197.00 frames. utt_duration=639.5 frames, utt_pad_proportion=0.04694, over 89.00 utterances.], tot_loss[loss=0.3217, simple_loss=0.3763, pruned_loss=0.1335, over 2786898.50 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06724, over 43104.62 utterances.], batch size: 89, lr: 5.66e-04
+2022-09-17 15:48:30,925 INFO [train.py:885] (0/2) Epoch 8, batch 3150, loss[loss=0.2841, simple_loss=0.3365, pruned_loss=0.1159, over 14310.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03931, over 120.00 utterances.], tot_loss[loss=0.3216, simple_loss=0.376, pruned_loss=0.1336, over 2787336.37 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06703, over 43189.93 utterances.], batch size: 120, lr: 5.65e-04
+2022-09-17 15:49:00,422 INFO [train.py:885] (0/2) Epoch 8, batch 3200, loss[loss=0.2006, simple_loss=0.2495, pruned_loss=0.07589, over 13603.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09165, over 42.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3753, pruned_loss=0.1324, over 2788021.83 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06599, over 43776.02 utterances.], batch size: 42, lr: 5.65e-04
+2022-09-17 15:49:29,619 INFO [train.py:885] (0/2) Epoch 8, batch 3250, loss[loss=0.2133, simple_loss=0.2862, pruned_loss=0.07014, over 13919.00 frames. utt_duration=929.4 frames, utt_pad_proportion=0.06593, over 60.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3743, pruned_loss=0.1326, over 2787132.93 frames. utt_duration=260.6 frames, utt_pad_proportion=0.06717, over 43024.77 utterances.], batch size: 60, lr: 5.65e-04
+2022-09-17 15:49:59,713 INFO [train.py:885] (0/2) Epoch 8, batch 3300, loss[loss=0.2976, simple_loss=0.3547, pruned_loss=0.1202, over 14330.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03955, over 154.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3782, pruned_loss=0.135, over 2782217.86 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07171, over 44797.93 utterances.], batch size: 154, lr: 5.65e-04
+2022-09-17 15:50:28,994 INFO [train.py:885] (0/2) Epoch 8, batch 3350, loss[loss=0.3211, simple_loss=0.4153, pruned_loss=0.1134, over 13667.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07932, over 477.00 utterances.], tot_loss[loss=0.3217, simple_loss=0.3766, pruned_loss=0.1335, over 2782316.32 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07203, over 44622.48 utterances.], batch size: 477, lr: 5.65e-04
+2022-09-17 15:50:59,585 INFO [train.py:885] (0/2) Epoch 8, batch 3400, loss[loss=0.5433, simple_loss=0.6082, pruned_loss=0.2392, over 12535.00 frames. utt_duration=63.46 frames, utt_pad_proportion=0.1424, over 810.00 utterances.], tot_loss[loss=0.3251, simple_loss=0.3804, pruned_loss=0.135, over 2779169.64 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07457, over 46455.04 utterances.], batch size: 810, lr: 5.65e-04
+2022-09-17 15:51:28,412 INFO [train.py:885] (0/2) Epoch 8, batch 3450, loss[loss=0.4779, simple_loss=0.5136, pruned_loss=0.221, over 13947.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05909, over 365.00 utterances.], tot_loss[loss=0.3285, simple_loss=0.3825, pruned_loss=0.1372, over 2777068.43 frames. utt_duration=239 frames, utt_pad_proportion=0.07483, over 46763.01 utterances.], batch size: 365, lr: 5.64e-04
+2022-09-17 15:51:58,402 INFO [train.py:885] (0/2) Epoch 8, batch 3500, loss[loss=0.2087, simple_loss=0.2738, pruned_loss=0.07177, over 13493.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.09155, over 50.00 utterances.], tot_loss[loss=0.3273, simple_loss=0.3827, pruned_loss=0.1359, over 2781532.37 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07413, over 47594.54 utterances.], batch size: 50, lr: 5.64e-04
+2022-09-17 15:52:27,540 INFO [train.py:885] (0/2) Epoch 8, batch 3550, loss[loss=0.2383, simple_loss=0.3172, pruned_loss=0.07975, over 14292.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03896, over 130.00 utterances.], tot_loss[loss=0.3227, simple_loss=0.3781, pruned_loss=0.1337, over 2777774.22 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07326, over 45995.86 utterances.], batch size: 130, lr: 5.64e-04
+2022-09-17 15:52:57,207 INFO [train.py:885] (0/2) Epoch 8, batch 3600, loss[loss=0.2136, simple_loss=0.2596, pruned_loss=0.08381, over 13430.00 frames. utt_duration=1281 frames, utt_pad_proportion=0.09483, over 42.00 utterances.], tot_loss[loss=0.3222, simple_loss=0.3768, pruned_loss=0.1338, over 2775158.53 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07339, over 45365.46 utterances.], batch size: 42, lr: 5.64e-04
+2022-09-17 15:53:27,071 INFO [train.py:885] (0/2) Epoch 8, batch 3650, loss[loss=0.2192, simple_loss=0.2754, pruned_loss=0.08154, over 13872.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.06212, over 69.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3771, pruned_loss=0.1338, over 2778068.14 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07215, over 44976.67 utterances.], batch size: 69, lr: 5.64e-04
+2022-09-17 15:53:33,277 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-92000.pt
+2022-09-17 15:53:57,201 INFO [train.py:885] (0/2) Epoch 8, batch 3700, loss[loss=0.2631, simple_loss=0.3206, pruned_loss=0.1028, over 14125.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.04949, over 98.00 utterances.], tot_loss[loss=0.3259, simple_loss=0.3805, pruned_loss=0.1357, over 2771981.93 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07666, over 46752.20 utterances.], batch size: 98, lr: 5.64e-04
+2022-09-17 15:54:26,731 INFO [train.py:885] (0/2) Epoch 8, batch 3750, loss[loss=0.4042, simple_loss=0.4738, pruned_loss=0.1673, over 13673.00 frames. utt_duration=99.13 frames, utt_pad_proportion=0.07355, over 560.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.378, pruned_loss=0.1341, over 2773616.63 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07552, over 45887.37 utterances.], batch size: 560, lr: 5.64e-04
+2022-09-17 15:54:55,909 INFO [train.py:885] (0/2) Epoch 8, batch 3800, loss[loss=0.2427, simple_loss=0.3099, pruned_loss=0.08779, over 14188.00 frames. utt_duration=639.3 frames, utt_pad_proportion=0.04725, over 89.00 utterances.], tot_loss[loss=0.3245, simple_loss=0.3796, pruned_loss=0.1347, over 2775594.97 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07601, over 46093.18 utterances.], batch size: 89, lr: 5.63e-04
+2022-09-17 15:55:24,913 INFO [train.py:885] (0/2) Epoch 8, batch 3850, loss[loss=0.4802, simple_loss=0.543, pruned_loss=0.2087, over 13103.00 frames. utt_duration=81.86 frames, utt_pad_proportion=0.1102, over 653.00 utterances.], tot_loss[loss=0.3236, simple_loss=0.3788, pruned_loss=0.1342, over 2776696.52 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07509, over 45187.87 utterances.], batch size: 653, lr: 5.63e-04
+2022-09-17 15:55:54,608 INFO [train.py:885] (0/2) Epoch 8, batch 3900, loss[loss=0.3532, simple_loss=0.4345, pruned_loss=0.1359, over 13787.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07253, over 412.00 utterances.], tot_loss[loss=0.3211, simple_loss=0.3765, pruned_loss=0.1329, over 2780316.99 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07183, over 44269.13 utterances.], batch size: 412, lr: 5.63e-04
+2022-09-17 15:56:24,217 INFO [train.py:885] (0/2) Epoch 8, batch 3950, loss[loss=0.2691, simple_loss=0.3428, pruned_loss=0.09768, over 14375.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.0373, over 167.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3758, pruned_loss=0.1319, over 2779575.14 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07199, over 44077.17 utterances.], batch size: 167, lr: 5.63e-04
+2022-09-17 15:56:53,554 INFO [train.py:885] (0/2) Epoch 8, batch 4000, loss[loss=0.2504, simple_loss=0.3146, pruned_loss=0.09314, over 14219.00 frames. utt_duration=640.7 frames, utt_pad_proportion=0.04518, over 89.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3742, pruned_loss=0.1312, over 2778107.92 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07203, over 44059.26 utterances.], batch size: 89, lr: 5.63e-04
+2022-09-17 15:57:23,583 INFO [train.py:885] (0/2) Epoch 8, batch 4050, loss[loss=0.3443, simple_loss=0.4291, pruned_loss=0.1297, over 13752.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07539, over 412.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3784, pruned_loss=0.1332, over 2778180.92 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07296, over 46608.03 utterances.], batch size: 412, lr: 5.63e-04
+2022-09-17 15:57:53,314 INFO [train.py:885] (0/2) Epoch 8, batch 4100, loss[loss=0.27, simple_loss=0.3287, pruned_loss=0.1056, over 14187.00 frames. utt_duration=639 frames, utt_pad_proportion=0.04484, over 89.00 utterances.], tot_loss[loss=0.3233, simple_loss=0.3795, pruned_loss=0.1336, over 2780627.12 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0717, over 46598.85 utterances.], batch size: 89, lr: 5.62e-04
+2022-09-17 15:58:22,744 INFO [train.py:885] (0/2) Epoch 8, batch 4150, loss[loss=0.385, simple_loss=0.4392, pruned_loss=0.1654, over 13936.00 frames. utt_duration=154 frames, utt_pad_proportion=0.06073, over 365.00 utterances.], tot_loss[loss=0.3231, simple_loss=0.3791, pruned_loss=0.1335, over 2782873.39 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07037, over 46350.12 utterances.], batch size: 365, lr: 5.62e-04
+2022-09-17 15:58:52,063 INFO [train.py:885] (0/2) Epoch 8, batch 4200, loss[loss=0.3853, simple_loss=0.427, pruned_loss=0.1718, over 14317.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03935, over 283.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3823, pruned_loss=0.1346, over 2782563.39 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07143, over 47990.98 utterances.], batch size: 283, lr: 5.62e-04
+2022-09-17 15:59:21,501 INFO [train.py:885] (0/2) Epoch 8, batch 4250, loss[loss=0.1987, simple_loss=0.2444, pruned_loss=0.07649, over 13497.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.08923, over 50.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3815, pruned_loss=0.1349, over 2780758.97 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07015, over 47353.95 utterances.], batch size: 50, lr: 5.62e-04
+2022-09-17 15:59:50,744 INFO [train.py:885] (0/2) Epoch 8, batch 4300, loss[loss=0.2375, simple_loss=0.3045, pruned_loss=0.08527, over 13764.00 frames. utt_duration=919 frames, utt_pad_proportion=0.07635, over 60.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3771, pruned_loss=0.132, over 2775388.25 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07264, over 46478.52 utterances.], batch size: 60, lr: 5.62e-04
+2022-09-17 16:00:21,259 INFO [train.py:885] (0/2) Epoch 8, batch 4350, loss[loss=0.67, simple_loss=0.7018, pruned_loss=0.3191, over 12442.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1487, over 810.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.3833, pruned_loss=0.1355, over 2773365.64 frames. utt_duration=228.5 frames, utt_pad_proportion=0.07492, over 48865.62 utterances.], batch size: 810, lr: 5.62e-04
+2022-09-17 16:00:49,643 INFO [train.py:885] (0/2) Epoch 8, batch 4400, loss[loss=0.2691, simple_loss=0.3233, pruned_loss=0.1074, over 14256.00 frames. utt_duration=642.3 frames, utt_pad_proportion=0.04272, over 89.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.3812, pruned_loss=0.1347, over 2779103.71 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07208, over 47082.34 utterances.], batch size: 89, lr: 5.62e-04
+2022-09-17 16:01:20,300 INFO [train.py:885] (0/2) Epoch 8, batch 4450, loss[loss=0.2962, simple_loss=0.3556, pruned_loss=0.1183, over 14352.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.03469, over 130.00 utterances.], tot_loss[loss=0.3245, simple_loss=0.3807, pruned_loss=0.1341, over 2774553.06 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07352, over 47304.92 utterances.], batch size: 130, lr: 5.61e-04
+2022-09-17 16:01:49,687 INFO [train.py:885] (0/2) Epoch 8, batch 4500, loss[loss=0.4626, simple_loss=0.4761, pruned_loss=0.2245, over 14200.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04458, over 306.00 utterances.], tot_loss[loss=0.3297, simple_loss=0.3851, pruned_loss=0.1372, over 2774937.31 frames. utt_duration=228.5 frames, utt_pad_proportion=0.07391, over 48882.18 utterances.], batch size: 306, lr: 5.61e-04
+2022-09-17 16:02:19,244 INFO [train.py:885] (0/2) Epoch 8, batch 4550, loss[loss=0.3133, simple_loss=0.3804, pruned_loss=0.1231, over 14253.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.0409, over 180.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3802, pruned_loss=0.1345, over 2778747.47 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07178, over 46381.62 utterances.], batch size: 180, lr: 5.61e-04
+2022-09-17 16:02:48,498 INFO [train.py:885] (0/2) Epoch 8, batch 4600, loss[loss=0.2309, simple_loss=0.2722, pruned_loss=0.09479, over 12959.00 frames. utt_duration=1572 frames, utt_pad_proportion=0.1308, over 33.00 utterances.], tot_loss[loss=0.3261, simple_loss=0.3811, pruned_loss=0.1355, over 2778779.56 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07141, over 46772.12 utterances.], batch size: 33, lr: 5.61e-04
+2022-09-17 16:03:18,516 INFO [train.py:885] (0/2) Epoch 8, batch 4650, loss[loss=0.3619, simple_loss=0.4118, pruned_loss=0.156, over 14369.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0363, over 244.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3816, pruned_loss=0.1348, over 2782839.62 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07066, over 47595.02 utterances.], batch size: 244, lr: 5.61e-04
+2022-09-17 16:03:48,362 INFO [train.py:885] (0/2) Epoch 8, batch 4700, loss[loss=0.3715, simple_loss=0.4372, pruned_loss=0.1529, over 13814.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06868, over 411.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.3826, pruned_loss=0.1359, over 2780623.26 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07101, over 47234.61 utterances.], batch size: 411, lr: 5.61e-04
+2022-09-17 16:04:17,662 INFO [train.py:885] (0/2) Epoch 8, batch 4750, loss[loss=0.3878, simple_loss=0.465, pruned_loss=0.1553, over 13644.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08075, over 477.00 utterances.], tot_loss[loss=0.3295, simple_loss=0.3855, pruned_loss=0.1367, over 2777730.06 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07202, over 48279.67 utterances.], batch size: 477, lr: 5.60e-04
+2022-09-17 16:04:46,811 INFO [train.py:885] (0/2) Epoch 8, batch 4800, loss[loss=0.3254, simple_loss=0.3845, pruned_loss=0.1331, over 14274.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.0426, over 154.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.3816, pruned_loss=0.1344, over 2776748.19 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07196, over 47185.17 utterances.], batch size: 154, lr: 5.60e-04
+2022-09-17 16:05:16,385 INFO [train.py:885] (0/2) Epoch 8, batch 4850, loss[loss=0.4101, simple_loss=0.4424, pruned_loss=0.1889, over 14324.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03791, over 210.00 utterances.], tot_loss[loss=0.321, simple_loss=0.3775, pruned_loss=0.1323, over 2780218.56 frames. utt_duration=246 frames, utt_pad_proportion=0.07032, over 45485.05 utterances.], batch size: 210, lr: 5.60e-04
+2022-09-17 16:05:45,702 INFO [train.py:885] (0/2) Epoch 8, batch 4900, loss[loss=0.3448, simple_loss=0.4016, pruned_loss=0.144, over 14312.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03907, over 283.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3763, pruned_loss=0.1317, over 2783762.14 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06839, over 44396.29 utterances.], batch size: 283, lr: 5.60e-04
+2022-09-17 16:06:15,747 INFO [train.py:885] (0/2) Epoch 8, batch 4950, loss[loss=0.3545, simple_loss=0.4201, pruned_loss=0.1445, over 13985.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05747, over 365.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.38, pruned_loss=0.1341, over 2779826.77 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07091, over 46366.38 utterances.], batch size: 365, lr: 5.60e-04
+2022-09-17 16:06:46,436 INFO [train.py:885] (0/2) Epoch 8, batch 5000, loss[loss=0.2642, simple_loss=0.3334, pruned_loss=0.09755, over 14020.00 frames. utt_duration=711.2 frames, utt_pad_proportion=0.05803, over 79.00 utterances.], tot_loss[loss=0.3233, simple_loss=0.3787, pruned_loss=0.134, over 2778778.72 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07052, over 45560.67 utterances.], batch size: 79, lr: 5.60e-04
+2022-09-17 16:07:15,614 INFO [train.py:885] (0/2) Epoch 8, batch 5050, loss[loss=0.3134, simple_loss=0.3765, pruned_loss=0.1252, over 14343.00 frames. utt_duration=320.2 frames, utt_pad_proportion=0.03543, over 180.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3764, pruned_loss=0.1318, over 2780279.98 frames. utt_duration=247 frames, utt_pad_proportion=0.0704, over 45300.95 utterances.], batch size: 180, lr: 5.60e-04
+2022-09-17 16:07:44,708 INFO [train.py:885] (0/2) Epoch 8, batch 5100, loss[loss=0.1495, simple_loss=0.2091, pruned_loss=0.04492, over 13254.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1061, over 33.00 utterances.], tot_loss[loss=0.3146, simple_loss=0.3711, pruned_loss=0.1291, over 2785555.50 frames. utt_duration=262.4 frames, utt_pad_proportion=0.06683, over 42694.80 utterances.], batch size: 33, lr: 5.59e-04
+2022-09-17 16:08:15,105 INFO [train.py:885] (0/2) Epoch 8, batch 5150, loss[loss=0.3638, simple_loss=0.4174, pruned_loss=0.1551, over 14353.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03649, over 283.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3761, pruned_loss=0.1318, over 2780228.60 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06995, over 44764.69 utterances.], batch size: 283, lr: 5.59e-04
+2022-09-17 16:08:43,936 INFO [train.py:885] (0/2) Epoch 8, batch 5200, loss[loss=0.4016, simple_loss=0.4398, pruned_loss=0.1817, over 14209.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04412, over 306.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3721, pruned_loss=0.1305, over 2779088.31 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06801, over 43050.21 utterances.], batch size: 306, lr: 5.59e-04
+2022-09-17 16:09:13,600 INFO [train.py:885] (0/2) Epoch 8, batch 5250, loss[loss=0.5581, simple_loss=0.6257, pruned_loss=0.2452, over 12441.00 frames. utt_duration=63.04 frames, utt_pad_proportion=0.1481, over 810.00 utterances.], tot_loss[loss=0.3226, simple_loss=0.3776, pruned_loss=0.1338, over 2779349.49 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07056, over 45029.11 utterances.], batch size: 810, lr: 5.59e-04
+2022-09-17 16:09:43,838 INFO [train.py:885] (0/2) Epoch 8, batch 5300, loss[loss=0.3234, simple_loss=0.3975, pruned_loss=0.1247, over 14333.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03743, over 210.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.378, pruned_loss=0.1338, over 2782057.48 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06942, over 45240.73 utterances.], batch size: 210, lr: 5.59e-04
+2022-09-17 16:10:13,424 INFO [train.py:885] (0/2) Epoch 8, batch 5350, loss[loss=0.3624, simple_loss=0.3917, pruned_loss=0.1665, over 14321.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.04036, over 120.00 utterances.], tot_loss[loss=0.3251, simple_loss=0.3797, pruned_loss=0.1352, over 2782768.17 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06964, over 45669.15 utterances.], batch size: 120, lr: 5.59e-04
+2022-09-17 16:10:43,076 INFO [train.py:885] (0/2) Epoch 8, batch 5400, loss[loss=0.3846, simple_loss=0.4674, pruned_loss=0.1509, over 13595.00 frames. utt_duration=98.5 frames, utt_pad_proportion=0.07946, over 560.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.3793, pruned_loss=0.1339, over 2787224.97 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06837, over 45656.09 utterances.], batch size: 560, lr: 5.59e-04
+2022-09-17 16:11:11,958 INFO [train.py:885] (0/2) Epoch 8, batch 5450, loss[loss=0.3765, simple_loss=0.4279, pruned_loss=0.1625, over 14203.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04462, over 306.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3778, pruned_loss=0.1334, over 2789297.95 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06621, over 44951.51 utterances.], batch size: 306, lr: 5.58e-04
+2022-09-17 16:11:41,134 INFO [train.py:885] (0/2) Epoch 8, batch 5500, loss[loss=0.3155, simple_loss=0.3766, pruned_loss=0.1272, over 14355.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.0386, over 167.00 utterances.], tot_loss[loss=0.3242, simple_loss=0.3787, pruned_loss=0.1348, over 2788909.66 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06821, over 44940.45 utterances.], batch size: 167, lr: 5.58e-04
+2022-09-17 16:12:10,528 INFO [train.py:885] (0/2) Epoch 8, batch 5550, loss[loss=0.3194, simple_loss=0.4091, pruned_loss=0.1149, over 13782.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07093, over 411.00 utterances.], tot_loss[loss=0.3203, simple_loss=0.3753, pruned_loss=0.1326, over 2788298.38 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06728, over 43764.62 utterances.], batch size: 411, lr: 5.58e-04
+2022-09-17 16:12:40,198 INFO [train.py:885] (0/2) Epoch 8, batch 5600, loss[loss=0.2076, simple_loss=0.2669, pruned_loss=0.07409, over 13428.00 frames. utt_duration=1280 frames, utt_pad_proportion=0.08834, over 42.00 utterances.], tot_loss[loss=0.3194, simple_loss=0.3756, pruned_loss=0.1316, over 2792277.64 frames. utt_duration=255.3 frames, utt_pad_proportion=0.0668, over 43995.16 utterances.], batch size: 42, lr: 5.58e-04
+2022-09-17 16:13:09,516 INFO [train.py:885] (0/2) Epoch 8, batch 5650, loss[loss=0.2324, simple_loss=0.2871, pruned_loss=0.08889, over 14050.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05222, over 79.00 utterances.], tot_loss[loss=0.3203, simple_loss=0.3766, pruned_loss=0.132, over 2788067.04 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06831, over 44625.16 utterances.], batch size: 79, lr: 5.58e-04
+2022-09-17 16:13:39,319 INFO [train.py:885] (0/2) Epoch 8, batch 5700, loss[loss=0.5125, simple_loss=0.5652, pruned_loss=0.23, over 13127.00 frames. utt_duration=81.98 frames, utt_pad_proportion=0.1089, over 653.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3794, pruned_loss=0.1344, over 2786389.24 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07022, over 45448.13 utterances.], batch size: 653, lr: 5.58e-04
+2022-09-17 16:14:16,478 INFO [train.py:885] (0/2) Epoch 8, batch 5750, loss[loss=0.2839, simple_loss=0.3446, pruned_loss=0.1115, over 14110.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05047, over 98.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3776, pruned_loss=0.1344, over 2783322.59 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07058, over 44753.88 utterances.], batch size: 98, lr: 5.58e-04
+2022-09-17 16:14:46,317 INFO [train.py:885] (0/2) Epoch 8, batch 5800, loss[loss=0.3445, simple_loss=0.3859, pruned_loss=0.1515, over 14329.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04067, over 167.00 utterances.], tot_loss[loss=0.3237, simple_loss=0.3795, pruned_loss=0.1339, over 2781963.12 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07349, over 46219.88 utterances.], batch size: 167, lr: 5.57e-04
+2022-09-17 16:15:15,898 INFO [train.py:885] (0/2) Epoch 8, batch 5850, loss[loss=0.1938, simple_loss=0.2352, pruned_loss=0.07621, over 13301.00 frames. utt_duration=1066 frames, utt_pad_proportion=0.1044, over 50.00 utterances.], tot_loss[loss=0.3231, simple_loss=0.3786, pruned_loss=0.1338, over 2779968.16 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07289, over 45780.58 utterances.], batch size: 50, lr: 5.57e-04
+2022-09-17 16:15:45,222 INFO [train.py:885] (0/2) Epoch 8, batch 5900, loss[loss=0.3883, simple_loss=0.4338, pruned_loss=0.1714, over 14285.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03998, over 225.00 utterances.], tot_loss[loss=0.3218, simple_loss=0.3767, pruned_loss=0.1334, over 2776712.48 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07325, over 44537.84 utterances.], batch size: 225, lr: 5.57e-04
+2022-09-17 16:16:15,083 INFO [train.py:885] (0/2) Epoch 8, batch 5950, loss[loss=0.2582, simple_loss=0.3087, pruned_loss=0.1039, over 14009.00 frames. utt_duration=710.8 frames, utt_pad_proportion=0.05981, over 79.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3784, pruned_loss=0.134, over 2779275.78 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07293, over 44794.96 utterances.], batch size: 79, lr: 5.57e-04
+2022-09-17 16:16:44,931 INFO [train.py:885] (0/2) Epoch 8, batch 6000, loss[loss=0.3438, simple_loss=0.3994, pruned_loss=0.1441, over 14249.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04239, over 225.00 utterances.], tot_loss[loss=0.3239, simple_loss=0.3791, pruned_loss=0.1344, over 2781220.91 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07154, over 45073.72 utterances.], batch size: 225, lr: 5.57e-04
+2022-09-17 16:16:44,933 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 16:16:49,102 INFO [train.py:914] (0/2) Epoch 8, validation: loss=0.2186, simple_loss=0.2935, pruned_loss=0.07178, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 16:17:17,646 INFO [train.py:885] (0/2) Epoch 8, batch 6050, loss[loss=0.3515, simple_loss=0.4377, pruned_loss=0.1327, over 13656.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07961, over 477.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.3762, pruned_loss=0.1327, over 2781528.97 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07014, over 44152.17 utterances.], batch size: 477, lr: 5.57e-04
+2022-09-17 16:17:47,969 INFO [train.py:885] (0/2) Epoch 8, batch 6100, loss[loss=0.178, simple_loss=0.2298, pruned_loss=0.06309, over 12243.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.1756, over 24.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.3809, pruned_loss=0.1349, over 2779476.53 frames. utt_duration=241.8 frames, utt_pad_proportion=0.0727, over 46256.93 utterances.], batch size: 24, lr: 5.56e-04
+2022-09-17 16:18:16,761 INFO [train.py:885] (0/2) Epoch 8, batch 6150, loss[loss=0.4647, simple_loss=0.514, pruned_loss=0.2077, over 13662.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07905, over 477.00 utterances.], tot_loss[loss=0.3227, simple_loss=0.3785, pruned_loss=0.1334, over 2778954.95 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07149, over 45476.09 utterances.], batch size: 477, lr: 5.56e-04
+2022-09-17 16:18:46,505 INFO [train.py:885] (0/2) Epoch 8, batch 6200, loss[loss=0.225, simple_loss=0.2815, pruned_loss=0.08428, over 13520.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08498, over 50.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.3808, pruned_loss=0.1349, over 2774248.91 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0733, over 46643.45 utterances.], batch size: 50, lr: 5.56e-04
+2022-09-17 16:19:16,325 INFO [train.py:885] (0/2) Epoch 8, batch 6250, loss[loss=0.3193, simple_loss=0.3853, pruned_loss=0.1267, over 14236.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04287, over 225.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3807, pruned_loss=0.1346, over 2781356.40 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07164, over 46115.82 utterances.], batch size: 225, lr: 5.56e-04
+2022-09-17 16:19:52,453 INFO [train.py:885] (0/2) Epoch 8, batch 6300, loss[loss=0.2957, simple_loss=0.3472, pruned_loss=0.1221, over 14352.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.03466, over 130.00 utterances.], tot_loss[loss=0.3226, simple_loss=0.379, pruned_loss=0.1331, over 2779111.61 frames. utt_duration=243.3 frames, utt_pad_proportion=0.0727, over 45971.41 utterances.], batch size: 130, lr: 5.56e-04
+2022-09-17 16:20:22,054 INFO [train.py:885] (0/2) Epoch 8, batch 6350, loss[loss=0.2781, simple_loss=0.3349, pruned_loss=0.1107, over 14021.00 frames. utt_duration=573.6 frames, utt_pad_proportion=0.05653, over 98.00 utterances.], tot_loss[loss=0.3221, simple_loss=0.3786, pruned_loss=0.1328, over 2777304.39 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07239, over 46417.29 utterances.], batch size: 98, lr: 5.56e-04
+2022-09-17 16:20:51,464 INFO [train.py:885] (0/2) Epoch 8, batch 6400, loss[loss=0.3891, simple_loss=0.4465, pruned_loss=0.1659, over 13976.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05717, over 365.00 utterances.], tot_loss[loss=0.3254, simple_loss=0.3818, pruned_loss=0.1346, over 2783019.71 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07106, over 47116.72 utterances.], batch size: 365, lr: 5.56e-04
+2022-09-17 16:21:21,054 INFO [train.py:885] (0/2) Epoch 8, batch 6450, loss[loss=0.3396, simple_loss=0.3808, pruned_loss=0.1493, over 14372.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03715, over 167.00 utterances.], tot_loss[loss=0.324, simple_loss=0.3809, pruned_loss=0.1335, over 2780585.44 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07185, over 47493.38 utterances.], batch size: 167, lr: 5.55e-04
+2022-09-17 16:21:50,877 INFO [train.py:885] (0/2) Epoch 8, batch 6500, loss[loss=0.3375, simple_loss=0.3979, pruned_loss=0.1386, over 14280.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03995, over 225.00 utterances.], tot_loss[loss=0.3212, simple_loss=0.378, pruned_loss=0.1322, over 2782857.56 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07, over 46123.69 utterances.], batch size: 225, lr: 5.55e-04
+2022-09-17 16:22:19,817 INFO [train.py:885] (0/2) Epoch 8, batch 6550, loss[loss=0.2845, simple_loss=0.3345, pruned_loss=0.1173, over 14130.00 frames. utt_duration=636.5 frames, utt_pad_proportion=0.05137, over 89.00 utterances.], tot_loss[loss=0.323, simple_loss=0.3788, pruned_loss=0.1336, over 2784761.07 frames. utt_duration=244.3 frames, utt_pad_proportion=0.0685, over 45875.58 utterances.], batch size: 89, lr: 5.55e-04
+2022-09-17 16:22:49,600 INFO [train.py:885] (0/2) Epoch 8, batch 6600, loss[loss=0.3161, simple_loss=0.3691, pruned_loss=0.1315, over 14303.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.04192, over 141.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3757, pruned_loss=0.1322, over 2780573.57 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06985, over 44629.42 utterances.], batch size: 141, lr: 5.55e-04
+2022-09-17 16:23:19,663 INFO [train.py:885] (0/2) Epoch 8, batch 6650, loss[loss=0.3735, simple_loss=0.4224, pruned_loss=0.1623, over 14307.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03895, over 195.00 utterances.], tot_loss[loss=0.323, simple_loss=0.379, pruned_loss=0.1335, over 2779904.61 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07145, over 46328.32 utterances.], batch size: 195, lr: 5.55e-04
+2022-09-17 16:23:49,543 INFO [train.py:885] (0/2) Epoch 8, batch 6700, loss[loss=0.2249, simple_loss=0.2844, pruned_loss=0.08272, over 14255.00 frames. utt_duration=642.1 frames, utt_pad_proportion=0.04303, over 89.00 utterances.], tot_loss[loss=0.323, simple_loss=0.379, pruned_loss=0.1335, over 2778912.83 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07341, over 46153.16 utterances.], batch size: 89, lr: 5.55e-04
+2022-09-17 16:24:19,071 INFO [train.py:885] (0/2) Epoch 8, batch 6750, loss[loss=0.3189, simple_loss=0.3768, pruned_loss=0.1305, over 14275.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04375, over 141.00 utterances.], tot_loss[loss=0.3195, simple_loss=0.3764, pruned_loss=0.1314, over 2781187.20 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07165, over 44827.22 utterances.], batch size: 141, lr: 5.55e-04
+2022-09-17 16:24:48,099 INFO [train.py:885] (0/2) Epoch 8, batch 6800, loss[loss=0.3117, simple_loss=0.3729, pruned_loss=0.1252, over 14276.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03989, over 180.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3747, pruned_loss=0.1309, over 2782797.10 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06971, over 44045.53 utterances.], batch size: 180, lr: 5.54e-04
+2022-09-17 16:25:18,526 INFO [train.py:885] (0/2) Epoch 8, batch 6850, loss[loss=0.3552, simple_loss=0.4111, pruned_loss=0.1497, over 14285.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.0398, over 225.00 utterances.], tot_loss[loss=0.321, simple_loss=0.3774, pruned_loss=0.1323, over 2783957.26 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07056, over 45613.10 utterances.], batch size: 225, lr: 5.54e-04
+2022-09-17 16:25:47,968 INFO [train.py:885] (0/2) Epoch 8, batch 6900, loss[loss=0.4859, simple_loss=0.5016, pruned_loss=0.2351, over 14212.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04418, over 306.00 utterances.], tot_loss[loss=0.3195, simple_loss=0.3762, pruned_loss=0.1314, over 2786842.39 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06943, over 45342.66 utterances.], batch size: 306, lr: 5.54e-04
+2022-09-17 16:26:17,522 INFO [train.py:885] (0/2) Epoch 8, batch 6950, loss[loss=0.1532, simple_loss=0.2065, pruned_loss=0.04997, over 13136.00 frames. utt_duration=1594 frames, utt_pad_proportion=0.1181, over 33.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3743, pruned_loss=0.13, over 2783043.46 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06984, over 45574.65 utterances.], batch size: 33, lr: 5.54e-04
+2022-09-17 16:26:54,182 INFO [train.py:885] (0/2) Epoch 8, batch 7000, loss[loss=0.2233, simple_loss=0.2931, pruned_loss=0.07673, over 14226.00 frames. utt_duration=640.8 frames, utt_pad_proportion=0.04499, over 89.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3743, pruned_loss=0.1296, over 2777246.22 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07144, over 46047.26 utterances.], batch size: 89, lr: 5.54e-04
+2022-09-17 16:27:23,470 INFO [train.py:885] (0/2) Epoch 8, batch 7050, loss[loss=0.2007, simple_loss=0.2522, pruned_loss=0.07456, over 13679.00 frames. utt_duration=913.4 frames, utt_pad_proportion=0.07363, over 60.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3772, pruned_loss=0.1323, over 2779300.06 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07001, over 45671.98 utterances.], batch size: 60, lr: 5.54e-04
+2022-09-17 16:27:53,141 INFO [train.py:885] (0/2) Epoch 8, batch 7100, loss[loss=0.4112, simple_loss=0.4422, pruned_loss=0.1901, over 14189.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04568, over 306.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3734, pruned_loss=0.1307, over 2776453.63 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07124, over 44567.55 utterances.], batch size: 306, lr: 5.54e-04
+2022-09-17 16:28:22,462 INFO [train.py:885] (0/2) Epoch 8, batch 7150, loss[loss=0.2987, simple_loss=0.3768, pruned_loss=0.1103, over 14331.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03733, over 195.00 utterances.], tot_loss[loss=0.3258, simple_loss=0.3808, pruned_loss=0.1354, over 2780899.00 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07208, over 46134.53 utterances.], batch size: 195, lr: 5.53e-04
+2022-09-17 16:28:51,174 INFO [train.py:885] (0/2) Epoch 8, batch 7200, loss[loss=0.3213, simple_loss=0.3831, pruned_loss=0.1297, over 14343.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03721, over 210.00 utterances.], tot_loss[loss=0.3196, simple_loss=0.3748, pruned_loss=0.1321, over 2780460.39 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07152, over 44159.14 utterances.], batch size: 210, lr: 5.53e-04
+2022-09-17 16:29:21,527 INFO [train.py:885] (0/2) Epoch 8, batch 7250, loss[loss=0.3724, simple_loss=0.4359, pruned_loss=0.1545, over 13972.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05772, over 365.00 utterances.], tot_loss[loss=0.3236, simple_loss=0.3787, pruned_loss=0.1342, over 2777422.65 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07155, over 45989.66 utterances.], batch size: 365, lr: 5.53e-04
+2022-09-17 16:29:51,619 INFO [train.py:885] (0/2) Epoch 8, batch 7300, loss[loss=0.1981, simple_loss=0.2508, pruned_loss=0.07275, over 13835.00 frames. utt_duration=803.4 frames, utt_pad_proportion=0.06467, over 69.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.3821, pruned_loss=0.1361, over 2775002.49 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07412, over 47429.65 utterances.], batch size: 69, lr: 5.53e-04
+2022-09-17 16:30:20,585 INFO [train.py:885] (0/2) Epoch 8, batch 7350, loss[loss=0.3681, simple_loss=0.4173, pruned_loss=0.1595, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03907, over 283.00 utterances.], tot_loss[loss=0.3234, simple_loss=0.3786, pruned_loss=0.1341, over 2779577.72 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07188, over 45642.13 utterances.], batch size: 283, lr: 5.53e-04
+2022-09-17 16:30:49,756 INFO [train.py:885] (0/2) Epoch 8, batch 7400, loss[loss=0.2202, simple_loss=0.2706, pruned_loss=0.08493, over 13644.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07841, over 50.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3801, pruned_loss=0.1349, over 2782853.51 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07095, over 45977.80 utterances.], batch size: 50, lr: 5.53e-04
+2022-09-17 16:31:19,521 INFO [train.py:885] (0/2) Epoch 8, batch 7450, loss[loss=0.312, simple_loss=0.3741, pruned_loss=0.125, over 14318.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.0411, over 167.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3785, pruned_loss=0.1339, over 2780850.08 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07131, over 45524.56 utterances.], batch size: 167, lr: 5.53e-04
+2022-09-17 16:31:49,932 INFO [train.py:885] (0/2) Epoch 8, batch 7500, loss[loss=0.2095, simple_loss=0.2798, pruned_loss=0.06961, over 13793.00 frames. utt_duration=920.8 frames, utt_pad_proportion=0.06894, over 60.00 utterances.], tot_loss[loss=0.3275, simple_loss=0.3825, pruned_loss=0.1362, over 2776787.88 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07439, over 46993.45 utterances.], batch size: 60, lr: 5.52e-04
+2022-09-17 16:32:19,385 INFO [train.py:885] (0/2) Epoch 8, batch 7550, loss[loss=0.3187, simple_loss=0.3731, pruned_loss=0.1322, over 14346.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.03824, over 154.00 utterances.], tot_loss[loss=0.3258, simple_loss=0.381, pruned_loss=0.1353, over 2779240.46 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07386, over 46587.11 utterances.], batch size: 154, lr: 5.52e-04
+2022-09-17 16:32:48,731 INFO [train.py:885] (0/2) Epoch 8, batch 7600, loss[loss=0.4797, simple_loss=0.4838, pruned_loss=0.2377, over 14217.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04327, over 306.00 utterances.], tot_loss[loss=0.3278, simple_loss=0.3832, pruned_loss=0.1362, over 2779396.70 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07388, over 47939.77 utterances.], batch size: 306, lr: 5.52e-04
+2022-09-17 16:33:18,499 INFO [train.py:885] (0/2) Epoch 8, batch 7650, loss[loss=0.3187, simple_loss=0.3688, pruned_loss=0.1343, over 14283.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.0398, over 130.00 utterances.], tot_loss[loss=0.3308, simple_loss=0.3859, pruned_loss=0.1379, over 2784367.86 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07276, over 48912.45 utterances.], batch size: 130, lr: 5.52e-04
+2022-09-17 16:33:24,474 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-96000.pt
+2022-09-17 16:33:48,689 INFO [train.py:885] (0/2) Epoch 8, batch 7700, loss[loss=0.2354, simple_loss=0.3092, pruned_loss=0.08079, over 14043.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.05637, over 79.00 utterances.], tot_loss[loss=0.3251, simple_loss=0.381, pruned_loss=0.1347, over 2784105.18 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07078, over 47431.51 utterances.], batch size: 79, lr: 5.52e-04
+2022-09-17 16:34:17,866 INFO [train.py:885] (0/2) Epoch 8, batch 7750, loss[loss=0.3515, simple_loss=0.4039, pruned_loss=0.1495, over 14325.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03817, over 195.00 utterances.], tot_loss[loss=0.3274, simple_loss=0.3819, pruned_loss=0.1364, over 2784574.33 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07178, over 46922.80 utterances.], batch size: 195, lr: 5.52e-04
+2022-09-17 16:34:47,333 INFO [train.py:885] (0/2) Epoch 8, batch 7800, loss[loss=0.3474, simple_loss=0.437, pruned_loss=0.1289, over 13689.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07685, over 477.00 utterances.], tot_loss[loss=0.3227, simple_loss=0.3782, pruned_loss=0.1336, over 2779873.38 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07088, over 45894.29 utterances.], batch size: 477, lr: 5.52e-04
+2022-09-17 16:35:17,562 INFO [train.py:885] (0/2) Epoch 8, batch 7850, loss[loss=0.2453, simple_loss=0.3081, pruned_loss=0.09123, over 14058.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.06113, over 70.00 utterances.], tot_loss[loss=0.3237, simple_loss=0.3798, pruned_loss=0.1338, over 2777504.52 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07294, over 47236.19 utterances.], batch size: 70, lr: 5.51e-04
+2022-09-17 16:35:46,722 INFO [train.py:885] (0/2) Epoch 8, batch 7900, loss[loss=0.445, simple_loss=0.4683, pruned_loss=0.2109, over 14198.00 frames. utt_duration=170.8 frames, utt_pad_proportion=0.04594, over 335.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3767, pruned_loss=0.1316, over 2777856.68 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07268, over 46253.39 utterances.], batch size: 335, lr: 5.51e-04
+2022-09-17 16:36:15,345 INFO [train.py:885] (0/2) Epoch 8, batch 7950, loss[loss=0.1511, simple_loss=0.2062, pruned_loss=0.04795, over 13372.00 frames. utt_duration=1623 frames, utt_pad_proportion=0.09957, over 33.00 utterances.], tot_loss[loss=0.3144, simple_loss=0.3712, pruned_loss=0.1288, over 2780015.54 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07082, over 43957.89 utterances.], batch size: 33, lr: 5.51e-04
+2022-09-17 16:36:46,000 INFO [train.py:885] (0/2) Epoch 8, batch 8000, loss[loss=0.2843, simple_loss=0.3385, pruned_loss=0.115, over 14145.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04649, over 109.00 utterances.], tot_loss[loss=0.3182, simple_loss=0.3745, pruned_loss=0.1309, over 2777803.61 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07198, over 45390.83 utterances.], batch size: 109, lr: 5.51e-04
+2022-09-17 16:37:15,716 INFO [train.py:885] (0/2) Epoch 8, batch 8050, loss[loss=0.1905, simple_loss=0.2318, pruned_loss=0.07463, over 13620.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08271, over 50.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.373, pruned_loss=0.1306, over 2781237.90 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07202, over 44183.25 utterances.], batch size: 50, lr: 5.51e-04
+2022-09-17 16:37:44,792 INFO [train.py:885] (0/2) Epoch 8, batch 8100, loss[loss=0.3326, simple_loss=0.3948, pruned_loss=0.1352, over 14256.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04167, over 225.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3709, pruned_loss=0.129, over 2783062.22 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06994, over 43491.29 utterances.], batch size: 225, lr: 5.51e-04
+2022-09-17 16:38:14,787 INFO [train.py:885] (0/2) Epoch 8, batch 8150, loss[loss=0.3913, simple_loss=0.4301, pruned_loss=0.1763, over 14255.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04192, over 335.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3734, pruned_loss=0.1299, over 2786443.00 frames. utt_duration=253.9 frames, utt_pad_proportion=0.0686, over 44162.65 utterances.], batch size: 335, lr: 5.51e-04
+2022-09-17 16:38:43,485 INFO [train.py:885] (0/2) Epoch 8, batch 8200, loss[loss=0.2452, simple_loss=0.3001, pruned_loss=0.09512, over 13941.00 frames. utt_duration=809.8 frames, utt_pad_proportion=0.05723, over 69.00 utterances.], tot_loss[loss=0.3177, simple_loss=0.3736, pruned_loss=0.1309, over 2783399.30 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07061, over 43526.62 utterances.], batch size: 69, lr: 5.50e-04
+2022-09-17 16:39:13,475 INFO [train.py:885] (0/2) Epoch 8, batch 8250, loss[loss=0.3286, simple_loss=0.3714, pruned_loss=0.1429, over 14111.00 frames. utt_duration=635.8 frames, utt_pad_proportion=0.04958, over 89.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.3714, pruned_loss=0.1302, over 2781940.69 frames. utt_duration=263.3 frames, utt_pad_proportion=0.06924, over 42504.16 utterances.], batch size: 89, lr: 5.50e-04
+2022-09-17 16:39:43,549 INFO [train.py:885] (0/2) Epoch 8, batch 8300, loss[loss=0.3387, simple_loss=0.4168, pruned_loss=0.1302, over 13780.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07328, over 412.00 utterances.], tot_loss[loss=0.3195, simple_loss=0.375, pruned_loss=0.1321, over 2782237.43 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06924, over 43872.98 utterances.], batch size: 412, lr: 5.50e-04
+2022-09-17 16:40:12,555 INFO [train.py:885] (0/2) Epoch 8, batch 8350, loss[loss=0.334, simple_loss=0.3852, pruned_loss=0.1414, over 14360.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03551, over 195.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3748, pruned_loss=0.1333, over 2784602.06 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06691, over 43197.75 utterances.], batch size: 195, lr: 5.50e-04
+2022-09-17 16:40:42,740 INFO [train.py:885] (0/2) Epoch 8, batch 8400, loss[loss=0.3516, simple_loss=0.4312, pruned_loss=0.1361, over 13797.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07029, over 411.00 utterances.], tot_loss[loss=0.3258, simple_loss=0.3798, pruned_loss=0.1359, over 2781228.77 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07042, over 45555.51 utterances.], batch size: 411, lr: 5.50e-04
+2022-09-17 16:41:18,202 INFO [train.py:885] (0/2) Epoch 8, batch 8450, loss[loss=0.3931, simple_loss=0.4736, pruned_loss=0.1562, over 13626.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07709, over 560.00 utterances.], tot_loss[loss=0.3267, simple_loss=0.3821, pruned_loss=0.1357, over 2780900.16 frames. utt_duration=234.7 frames, utt_pad_proportion=0.0711, over 47697.36 utterances.], batch size: 560, lr: 5.50e-04
+2022-09-17 16:41:47,752 INFO [train.py:885] (0/2) Epoch 8, batch 8500, loss[loss=0.2492, simple_loss=0.3149, pruned_loss=0.09175, over 14067.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05599, over 79.00 utterances.], tot_loss[loss=0.3236, simple_loss=0.3796, pruned_loss=0.1338, over 2783468.82 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07031, over 46148.57 utterances.], batch size: 79, lr: 5.50e-04
+2022-09-17 16:42:16,437 INFO [train.py:885] (0/2) Epoch 8, batch 8550, loss[loss=0.2342, simple_loss=0.2986, pruned_loss=0.08491, over 14139.00 frames. utt_duration=636.7 frames, utt_pad_proportion=0.05106, over 89.00 utterances.], tot_loss[loss=0.3226, simple_loss=0.379, pruned_loss=0.1331, over 2783849.44 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06946, over 46248.10 utterances.], batch size: 89, lr: 5.49e-04
+2022-09-17 16:42:46,293 INFO [train.py:885] (0/2) Epoch 8, batch 8600, loss[loss=0.2935, simple_loss=0.356, pruned_loss=0.1155, over 14288.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04101, over 120.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.376, pruned_loss=0.1318, over 2786193.45 frames. utt_duration=253 frames, utt_pad_proportion=0.06782, over 44309.82 utterances.], batch size: 120, lr: 5.49e-04
+2022-09-17 16:43:16,155 INFO [train.py:885] (0/2) Epoch 8, batch 8650, loss[loss=0.3084, simple_loss=0.3574, pruned_loss=0.1297, over 14380.00 frames. utt_duration=480.8 frames, utt_pad_proportion=0.03457, over 120.00 utterances.], tot_loss[loss=0.3181, simple_loss=0.3742, pruned_loss=0.131, over 2784474.80 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06832, over 43830.97 utterances.], batch size: 120, lr: 5.49e-04
+2022-09-17 16:43:45,587 INFO [train.py:885] (0/2) Epoch 8, batch 8700, loss[loss=0.2969, simple_loss=0.3907, pruned_loss=0.1016, over 13763.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07171, over 411.00 utterances.], tot_loss[loss=0.3182, simple_loss=0.3741, pruned_loss=0.1311, over 2781787.06 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06807, over 43633.21 utterances.], batch size: 411, lr: 5.49e-04
+2022-09-17 16:44:15,249 INFO [train.py:885] (0/2) Epoch 8, batch 8750, loss[loss=0.3477, simple_loss=0.4098, pruned_loss=0.1428, over 14302.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04003, over 262.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.376, pruned_loss=0.1327, over 2784055.84 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06825, over 44038.55 utterances.], batch size: 262, lr: 5.49e-04
+2022-09-17 16:44:44,731 INFO [train.py:885] (0/2) Epoch 8, batch 8800, loss[loss=0.2467, simple_loss=0.3073, pruned_loss=0.09308, over 14230.00 frames. utt_duration=523.8 frames, utt_pad_proportion=0.04073, over 109.00 utterances.], tot_loss[loss=0.3214, simple_loss=0.3766, pruned_loss=0.1331, over 2786406.43 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06796, over 44064.86 utterances.], batch size: 109, lr: 5.49e-04
+2022-09-17 16:45:14,699 INFO [train.py:885] (0/2) Epoch 8, batch 8850, loss[loss=0.4531, simple_loss=0.506, pruned_loss=0.2001, over 13644.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08129, over 478.00 utterances.], tot_loss[loss=0.3231, simple_loss=0.3786, pruned_loss=0.1338, over 2785991.44 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06978, over 44683.05 utterances.], batch size: 478, lr: 5.49e-04
+2022-09-17 16:45:43,955 INFO [train.py:885] (0/2) Epoch 8, batch 8900, loss[loss=0.3222, simple_loss=0.3756, pruned_loss=0.1344, over 14293.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04075, over 262.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.3799, pruned_loss=0.1338, over 2787687.83 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07087, over 45803.40 utterances.], batch size: 262, lr: 5.48e-04
+2022-09-17 16:46:13,599 INFO [train.py:885] (0/2) Epoch 8, batch 8950, loss[loss=0.364, simple_loss=0.4092, pruned_loss=0.1594, over 14322.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03725, over 180.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3804, pruned_loss=0.1344, over 2787633.76 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07145, over 46042.04 utterances.], batch size: 180, lr: 5.48e-04
+2022-09-17 16:46:43,599 INFO [train.py:885] (0/2) Epoch 8, batch 9000, loss[loss=0.2315, simple_loss=0.28, pruned_loss=0.09153, over 13813.00 frames. utt_duration=922.1 frames, utt_pad_proportion=0.0742, over 60.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3784, pruned_loss=0.1331, over 2786575.05 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06972, over 45527.84 utterances.], batch size: 60, lr: 5.48e-04
+2022-09-17 16:46:43,601 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 16:46:47,783 INFO [train.py:914] (0/2) Epoch 8, validation: loss=0.2105, simple_loss=0.2854, pruned_loss=0.06781, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 16:47:17,041 INFO [train.py:885] (0/2) Epoch 8, batch 9050, loss[loss=0.2708, simple_loss=0.3339, pruned_loss=0.1039, over 14328.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.036, over 130.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3769, pruned_loss=0.1321, over 2788148.29 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06737, over 45293.80 utterances.], batch size: 130, lr: 5.48e-04
+2022-09-17 16:47:46,885 INFO [train.py:885] (0/2) Epoch 8, batch 9100, loss[loss=0.5552, simple_loss=0.5365, pruned_loss=0.287, over 14191.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04548, over 306.00 utterances.], tot_loss[loss=0.3181, simple_loss=0.3738, pruned_loss=0.1312, over 2778530.27 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07087, over 43979.78 utterances.], batch size: 306, lr: 5.48e-04
+2022-09-17 16:48:16,158 INFO [train.py:885] (0/2) Epoch 8, batch 9150, loss[loss=0.5788, simple_loss=0.6353, pruned_loss=0.2612, over 12451.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1479, over 810.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3739, pruned_loss=0.1314, over 2774300.38 frames. utt_duration=254.6 frames, utt_pad_proportion=0.07241, over 43845.77 utterances.], batch size: 810, lr: 5.48e-04
+2022-09-17 16:48:45,981 INFO [train.py:885] (0/2) Epoch 8, batch 9200, loss[loss=0.1509, simple_loss=0.2062, pruned_loss=0.04778, over 13156.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1044, over 33.00 utterances.], tot_loss[loss=0.3211, simple_loss=0.377, pruned_loss=0.1326, over 2776184.82 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07141, over 45189.31 utterances.], batch size: 33, lr: 5.48e-04
+2022-09-17 16:49:15,304 INFO [train.py:885] (0/2) Epoch 8, batch 9250, loss[loss=0.3258, simple_loss=0.3865, pruned_loss=0.1325, over 14360.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03315, over 244.00 utterances.], tot_loss[loss=0.3191, simple_loss=0.3756, pruned_loss=0.1313, over 2775918.64 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07322, over 44942.16 utterances.], batch size: 244, lr: 5.47e-04
+2022-09-17 16:49:45,551 INFO [train.py:885] (0/2) Epoch 8, batch 9300, loss[loss=0.4155, simple_loss=0.4497, pruned_loss=0.1907, over 14236.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04281, over 335.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3769, pruned_loss=0.132, over 2770933.24 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07615, over 46201.65 utterances.], batch size: 335, lr: 5.47e-04
+2022-09-17 16:50:14,589 INFO [train.py:885] (0/2) Epoch 8, batch 9350, loss[loss=0.2243, simple_loss=0.2814, pruned_loss=0.08361, over 12678.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1231, over 25.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3769, pruned_loss=0.1316, over 2773444.78 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07451, over 45666.27 utterances.], batch size: 25, lr: 5.47e-04
+2022-09-17 16:50:43,598 INFO [train.py:885] (0/2) Epoch 8, batch 9400, loss[loss=0.3304, simple_loss=0.3924, pruned_loss=0.1342, over 14313.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03843, over 210.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.3797, pruned_loss=0.1337, over 2777029.37 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07362, over 46232.93 utterances.], batch size: 210, lr: 5.47e-04
+2022-09-17 16:51:12,641 INFO [train.py:885] (0/2) Epoch 8, batch 9450, loss[loss=0.2265, simple_loss=0.2916, pruned_loss=0.08072, over 13501.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.09026, over 50.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.3799, pruned_loss=0.1336, over 2782057.69 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07163, over 46748.18 utterances.], batch size: 50, lr: 5.47e-04
+2022-09-17 16:51:42,531 INFO [train.py:885] (0/2) Epoch 8, batch 9500, loss[loss=0.3171, simple_loss=0.3584, pruned_loss=0.1379, over 14283.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03928, over 130.00 utterances.], tot_loss[loss=0.3311, simple_loss=0.3873, pruned_loss=0.1374, over 2777877.15 frames. utt_duration=223.8 frames, utt_pad_proportion=0.07592, over 49987.12 utterances.], batch size: 130, lr: 5.47e-04
+2022-09-17 16:52:12,274 INFO [train.py:885] (0/2) Epoch 8, batch 9550, loss[loss=0.3502, simple_loss=0.4306, pruned_loss=0.1349, over 13754.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07214, over 411.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3848, pruned_loss=0.1364, over 2780685.17 frames. utt_duration=228.4 frames, utt_pad_proportion=0.07422, over 49024.30 utterances.], batch size: 411, lr: 5.47e-04
+2022-09-17 16:52:42,114 INFO [train.py:885] (0/2) Epoch 8, batch 9600, loss[loss=0.2563, simple_loss=0.3147, pruned_loss=0.09892, over 13990.00 frames. utt_duration=934.1 frames, utt_pad_proportion=0.06116, over 60.00 utterances.], tot_loss[loss=0.3256, simple_loss=0.3818, pruned_loss=0.1347, over 2773920.81 frames. utt_duration=231.7 frames, utt_pad_proportion=0.0746, over 48200.69 utterances.], batch size: 60, lr: 5.46e-04
+2022-09-17 16:53:11,906 INFO [train.py:885] (0/2) Epoch 8, batch 9650, loss[loss=0.2697, simple_loss=0.3307, pruned_loss=0.1044, over 14194.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04352, over 109.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3769, pruned_loss=0.1324, over 2779928.27 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07084, over 45260.01 utterances.], batch size: 109, lr: 5.46e-04
+2022-09-17 16:53:41,243 INFO [train.py:885] (0/2) Epoch 8, batch 9700, loss[loss=0.2208, simple_loss=0.265, pruned_loss=0.08832, over 12678.00 frames. utt_duration=1952 frames, utt_pad_proportion=0.1359, over 26.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3826, pruned_loss=0.1352, over 2777532.36 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07354, over 48172.75 utterances.], batch size: 26, lr: 5.46e-04
+2022-09-17 16:54:09,480 INFO [train.py:885] (0/2) Epoch 8, batch 9750, loss[loss=0.3538, simple_loss=0.4028, pruned_loss=0.1523, over 14325.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03913, over 262.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3845, pruned_loss=0.1366, over 2778326.26 frames. utt_duration=230.8 frames, utt_pad_proportion=0.07429, over 48467.74 utterances.], batch size: 262, lr: 5.46e-04
+2022-09-17 16:54:39,285 INFO [train.py:885] (0/2) Epoch 8, batch 9800, loss[loss=0.3353, simple_loss=0.4006, pruned_loss=0.1349, over 14380.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03437, over 210.00 utterances.], tot_loss[loss=0.3311, simple_loss=0.3868, pruned_loss=0.1377, over 2781946.10 frames. utt_duration=229 frames, utt_pad_proportion=0.0716, over 48911.50 utterances.], batch size: 210, lr: 5.46e-04
+2022-09-17 16:55:08,550 INFO [train.py:885] (0/2) Epoch 8, batch 9850, loss[loss=0.4245, simple_loss=0.5005, pruned_loss=0.1742, over 13101.00 frames. utt_duration=81.74 frames, utt_pad_proportion=0.1115, over 653.00 utterances.], tot_loss[loss=0.326, simple_loss=0.3823, pruned_loss=0.1348, over 2783870.84 frames. utt_duration=235.8 frames, utt_pad_proportion=0.06972, over 47512.36 utterances.], batch size: 653, lr: 5.46e-04
+2022-09-17 16:55:38,424 INFO [train.py:885] (0/2) Epoch 8, batch 9900, loss[loss=0.2923, simple_loss=0.3454, pruned_loss=0.1196, over 14283.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04369, over 141.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.381, pruned_loss=0.1336, over 2780916.39 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07033, over 47567.25 utterances.], batch size: 141, lr: 5.46e-04
+2022-09-17 16:56:08,132 INFO [train.py:885] (0/2) Epoch 8, batch 9950, loss[loss=0.5359, simple_loss=0.6091, pruned_loss=0.2313, over 12448.00 frames. utt_duration=63.04 frames, utt_pad_proportion=0.148, over 810.00 utterances.], tot_loss[loss=0.3249, simple_loss=0.3818, pruned_loss=0.134, over 2778908.39 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07108, over 48307.95 utterances.], batch size: 810, lr: 5.45e-04
+2022-09-17 16:56:37,556 INFO [train.py:885] (0/2) Epoch 8, batch 10000, loss[loss=0.3366, simple_loss=0.3747, pruned_loss=0.1493, over 14303.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03966, over 120.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3816, pruned_loss=0.1342, over 2779932.02 frames. utt_duration=236.1 frames, utt_pad_proportion=0.06997, over 47383.13 utterances.], batch size: 120, lr: 5.45e-04
+2022-09-17 16:57:06,750 INFO [train.py:885] (0/2) Epoch 8, batch 10050, loss[loss=0.3434, simple_loss=0.4046, pruned_loss=0.1411, over 14346.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03637, over 210.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.3802, pruned_loss=0.1334, over 2780556.26 frames. utt_duration=240.2 frames, utt_pad_proportion=0.06949, over 46587.55 utterances.], batch size: 210, lr: 5.45e-04
+2022-09-17 16:57:36,772 INFO [train.py:885] (0/2) Epoch 8, batch 10100, loss[loss=0.3494, simple_loss=0.4122, pruned_loss=0.1433, over 14344.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03627, over 210.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.378, pruned_loss=0.1323, over 2778574.07 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07091, over 45795.97 utterances.], batch size: 210, lr: 5.45e-04
+2022-09-17 16:58:06,694 INFO [train.py:885] (0/2) Epoch 8, batch 10150, loss[loss=0.3774, simple_loss=0.4524, pruned_loss=0.1513, over 13630.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08246, over 477.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3807, pruned_loss=0.1337, over 2776833.57 frames. utt_duration=240 frames, utt_pad_proportion=0.07228, over 46568.55 utterances.], batch size: 477, lr: 5.45e-04
+2022-09-17 16:58:36,301 INFO [train.py:885] (0/2) Epoch 8, batch 10200, loss[loss=0.2354, simple_loss=0.2914, pruned_loss=0.08973, over 13667.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.08003, over 50.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.379, pruned_loss=0.1324, over 2779152.55 frames. utt_duration=243.2 frames, utt_pad_proportion=0.0714, over 45989.91 utterances.], batch size: 50, lr: 5.45e-04
+2022-09-17 16:59:05,302 INFO [train.py:885] (0/2) Epoch 8, batch 10250, loss[loss=0.3783, simple_loss=0.4022, pruned_loss=0.1772, over 14336.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03879, over 154.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.3773, pruned_loss=0.1326, over 2785102.57 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06725, over 44374.63 utterances.], batch size: 154, lr: 5.45e-04
+2022-09-17 16:59:34,998 INFO [train.py:885] (0/2) Epoch 8, batch 10300, loss[loss=0.2367, simple_loss=0.3077, pruned_loss=0.08287, over 14050.00 frames. utt_duration=574.9 frames, utt_pad_proportion=0.056, over 98.00 utterances.], tot_loss[loss=0.3218, simple_loss=0.3777, pruned_loss=0.133, over 2783358.38 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06735, over 45093.78 utterances.], batch size: 98, lr: 5.45e-04
+2022-09-17 17:00:04,473 INFO [train.py:885] (0/2) Epoch 8, batch 10350, loss[loss=0.1904, simple_loss=0.2345, pruned_loss=0.07319, over 13218.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.09645, over 41.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3783, pruned_loss=0.1331, over 2784837.32 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06922, over 45334.20 utterances.], batch size: 41, lr: 5.44e-04
+2022-09-17 17:00:33,709 INFO [train.py:885] (0/2) Epoch 8, batch 10400, loss[loss=0.2432, simple_loss=0.3165, pruned_loss=0.08493, over 14199.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04296, over 109.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.3795, pruned_loss=0.1337, over 2787134.09 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06747, over 45121.03 utterances.], batch size: 109, lr: 5.44e-04
+2022-09-17 17:01:03,334 INFO [train.py:885] (0/2) Epoch 8, batch 10450, loss[loss=0.2187, simple_loss=0.2891, pruned_loss=0.07408, over 14166.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.04888, over 89.00 utterances.], tot_loss[loss=0.3259, simple_loss=0.3815, pruned_loss=0.1352, over 2790627.73 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06597, over 45608.69 utterances.], batch size: 89, lr: 5.44e-04
+2022-09-17 17:01:33,669 INFO [train.py:885] (0/2) Epoch 8, batch 10500, loss[loss=0.3829, simple_loss=0.4595, pruned_loss=0.1531, over 13613.00 frames. utt_duration=98.56 frames, utt_pad_proportion=0.07884, over 560.00 utterances.], tot_loss[loss=0.3204, simple_loss=0.376, pruned_loss=0.1324, over 2783982.60 frames. utt_duration=252.8 frames, utt_pad_proportion=0.0679, over 44299.54 utterances.], batch size: 560, lr: 5.44e-04
+2022-09-17 17:02:03,081 INFO [train.py:885] (0/2) Epoch 8, batch 10550, loss[loss=0.2408, simple_loss=0.2998, pruned_loss=0.09088, over 14142.00 frames. utt_duration=578.6 frames, utt_pad_proportion=0.05142, over 98.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3753, pruned_loss=0.1321, over 2782025.13 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06763, over 44008.44 utterances.], batch size: 98, lr: 5.44e-04
+2022-09-17 17:02:33,022 INFO [train.py:885] (0/2) Epoch 8, batch 10600, loss[loss=0.4088, simple_loss=0.4446, pruned_loss=0.1865, over 14340.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03867, over 244.00 utterances.], tot_loss[loss=0.3231, simple_loss=0.3783, pruned_loss=0.1339, over 2783767.94 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06919, over 44936.61 utterances.], batch size: 244, lr: 5.44e-04
+2022-09-17 17:03:02,647 INFO [train.py:885] (0/2) Epoch 8, batch 10650, loss[loss=0.5935, simple_loss=0.6462, pruned_loss=0.2704, over 12503.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1445, over 811.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3782, pruned_loss=0.1341, over 2781796.70 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07051, over 44483.15 utterances.], batch size: 811, lr: 5.44e-04
+2022-09-17 17:03:34,413 INFO [train.py:885] (0/2) Epoch 8, batch 10700, loss[loss=0.3706, simple_loss=0.4163, pruned_loss=0.1625, over 14333.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03845, over 262.00 utterances.], tot_loss[loss=0.3211, simple_loss=0.3762, pruned_loss=0.133, over 2778778.88 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07025, over 44267.79 utterances.], batch size: 262, lr: 5.43e-04
+2022-09-17 17:04:09,975 INFO [train.py:885] (0/2) Epoch 8, batch 10750, loss[loss=0.2954, simple_loss=0.3602, pruned_loss=0.1153, over 14358.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03557, over 210.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3786, pruned_loss=0.1339, over 2778301.81 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07197, over 45738.58 utterances.], batch size: 210, lr: 5.43e-04
+2022-09-17 17:04:40,051 INFO [train.py:885] (0/2) Epoch 8, batch 10800, loss[loss=0.2982, simple_loss=0.3505, pruned_loss=0.1229, over 14267.00 frames. utt_duration=476.8 frames, utt_pad_proportion=0.04259, over 120.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3783, pruned_loss=0.1333, over 2781370.96 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07033, over 46090.14 utterances.], batch size: 120, lr: 5.43e-04
+2022-09-17 17:05:09,921 INFO [train.py:885] (0/2) Epoch 8, batch 10850, loss[loss=0.3064, simple_loss=0.3421, pruned_loss=0.1353, over 14248.00 frames. utt_duration=476.2 frames, utt_pad_proportion=0.04367, over 120.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3768, pruned_loss=0.1315, over 2782754.63 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06996, over 45564.02 utterances.], batch size: 120, lr: 5.43e-04
+2022-09-17 17:05:39,658 INFO [train.py:885] (0/2) Epoch 8, batch 10900, loss[loss=0.179, simple_loss=0.221, pruned_loss=0.06853, over 12468.00 frames. utt_duration=2080 frames, utt_pad_proportion=0.1481, over 24.00 utterances.], tot_loss[loss=0.3211, simple_loss=0.3779, pruned_loss=0.1321, over 2780792.13 frames. utt_duration=244 frames, utt_pad_proportion=0.07109, over 45861.49 utterances.], batch size: 24, lr: 5.43e-04
+2022-09-17 17:06:08,991 INFO [train.py:885] (0/2) Epoch 8, batch 10950, loss[loss=0.3563, simple_loss=0.4019, pruned_loss=0.1554, over 14307.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03839, over 226.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3775, pruned_loss=0.132, over 2784500.81 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06846, over 45933.41 utterances.], batch size: 226, lr: 5.43e-04
+2022-09-17 17:06:38,660 INFO [train.py:885] (0/2) Epoch 8, batch 11000, loss[loss=0.3505, simple_loss=0.4029, pruned_loss=0.1491, over 14303.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04038, over 262.00 utterances.], tot_loss[loss=0.3251, simple_loss=0.3818, pruned_loss=0.1342, over 2782757.64 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07199, over 47296.29 utterances.], batch size: 262, lr: 5.43e-04
+2022-09-17 17:07:07,758 INFO [train.py:885] (0/2) Epoch 8, batch 11050, loss[loss=0.2923, simple_loss=0.3697, pruned_loss=0.1074, over 14304.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.04218, over 167.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3865, pruned_loss=0.137, over 2784490.55 frames. utt_duration=229.9 frames, utt_pad_proportion=0.07203, over 48759.00 utterances.], batch size: 167, lr: 5.42e-04
+2022-09-17 17:07:38,470 INFO [train.py:885] (0/2) Epoch 8, batch 11100, loss[loss=0.3429, simple_loss=0.4312, pruned_loss=0.1274, over 13661.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07955, over 477.00 utterances.], tot_loss[loss=0.33, simple_loss=0.3869, pruned_loss=0.1366, over 2785414.77 frames. utt_duration=225.7 frames, utt_pad_proportion=0.07229, over 49680.22 utterances.], batch size: 477, lr: 5.42e-04
+2022-09-17 17:08:07,131 INFO [train.py:885] (0/2) Epoch 8, batch 11150, loss[loss=0.2037, simple_loss=0.267, pruned_loss=0.07023, over 13452.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.08181, over 41.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3817, pruned_loss=0.1341, over 2784099.71 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07098, over 47408.42 utterances.], batch size: 41, lr: 5.42e-04
+2022-09-17 17:08:37,860 INFO [train.py:885] (0/2) Epoch 8, batch 11200, loss[loss=0.2833, simple_loss=0.3553, pruned_loss=0.1056, over 14296.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04123, over 154.00 utterances.], tot_loss[loss=0.321, simple_loss=0.3781, pruned_loss=0.132, over 2777103.31 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07346, over 47635.23 utterances.], batch size: 154, lr: 5.42e-04
+2022-09-17 17:09:07,169 INFO [train.py:885] (0/2) Epoch 8, batch 11250, loss[loss=0.316, simple_loss=0.3759, pruned_loss=0.128, over 14273.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.038, over 154.00 utterances.], tot_loss[loss=0.3239, simple_loss=0.3815, pruned_loss=0.1332, over 2779366.49 frames. utt_duration=228.3 frames, utt_pad_proportion=0.07415, over 49004.29 utterances.], batch size: 154, lr: 5.42e-04
+2022-09-17 17:09:36,729 INFO [train.py:885] (0/2) Epoch 8, batch 11300, loss[loss=0.4038, simple_loss=0.4395, pruned_loss=0.184, over 14323.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.0388, over 262.00 utterances.], tot_loss[loss=0.3234, simple_loss=0.3811, pruned_loss=0.1329, over 2782599.35 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07288, over 48478.54 utterances.], batch size: 262, lr: 5.42e-04
+2022-09-17 17:10:05,888 INFO [train.py:885] (0/2) Epoch 8, batch 11350, loss[loss=0.3238, simple_loss=0.3815, pruned_loss=0.133, over 14338.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03928, over 167.00 utterances.], tot_loss[loss=0.3194, simple_loss=0.3781, pruned_loss=0.1303, over 2780538.00 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07452, over 47665.97 utterances.], batch size: 167, lr: 5.42e-04
+2022-09-17 17:10:35,669 INFO [train.py:885] (0/2) Epoch 8, batch 11400, loss[loss=0.243, simple_loss=0.2981, pruned_loss=0.09395, over 14230.00 frames. utt_duration=641.2 frames, utt_pad_proportion=0.04583, over 89.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.379, pruned_loss=0.1312, over 2779401.46 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07566, over 47176.53 utterances.], batch size: 89, lr: 5.42e-04
+2022-09-17 17:11:05,527 INFO [train.py:885] (0/2) Epoch 8, batch 11450, loss[loss=0.3919, simple_loss=0.4695, pruned_loss=0.1571, over 13664.00 frames. utt_duration=99.01 frames, utt_pad_proportion=0.0747, over 560.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3766, pruned_loss=0.1306, over 2776962.23 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07518, over 46202.79 utterances.], batch size: 560, lr: 5.41e-04
+2022-09-17 17:11:34,794 INFO [train.py:885] (0/2) Epoch 8, batch 11500, loss[loss=0.1925, simple_loss=0.2262, pruned_loss=0.0794, over 13420.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08492, over 41.00 utterances.], tot_loss[loss=0.3196, simple_loss=0.3769, pruned_loss=0.1311, over 2779264.59 frames. utt_duration=241.7 frames, utt_pad_proportion=0.0738, over 46282.12 utterances.], batch size: 41, lr: 5.41e-04
+2022-09-17 17:12:03,688 INFO [train.py:885] (0/2) Epoch 8, batch 11550, loss[loss=0.229, simple_loss=0.2804, pruned_loss=0.08879, over 12300.00 frames. utt_duration=2052 frames, utt_pad_proportion=0.167, over 24.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3771, pruned_loss=0.1312, over 2779238.88 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07334, over 46287.75 utterances.], batch size: 24, lr: 5.41e-04
+2022-09-17 17:12:33,505 INFO [train.py:885] (0/2) Epoch 8, batch 11600, loss[loss=0.2804, simple_loss=0.3528, pruned_loss=0.1039, over 14275.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04283, over 154.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.374, pruned_loss=0.1289, over 2775004.69 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07307, over 45595.01 utterances.], batch size: 154, lr: 5.41e-04
+2022-09-17 17:13:03,749 INFO [train.py:885] (0/2) Epoch 8, batch 11650, loss[loss=0.2772, simple_loss=0.3352, pruned_loss=0.1097, over 14281.00 frames. utt_duration=441 frames, utt_pad_proportion=0.0393, over 130.00 utterances.], tot_loss[loss=0.3188, simple_loss=0.3771, pruned_loss=0.1302, over 2776035.67 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07314, over 47195.94 utterances.], batch size: 130, lr: 5.41e-04
+2022-09-17 17:13:09,496 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-100000.pt
+2022-09-17 17:13:33,165 INFO [train.py:885] (0/2) Epoch 8, batch 11700, loss[loss=0.279, simple_loss=0.3432, pruned_loss=0.1073, over 14283.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.0438, over 141.00 utterances.], tot_loss[loss=0.3188, simple_loss=0.3767, pruned_loss=0.1305, over 2780995.32 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07051, over 45723.30 utterances.], batch size: 141, lr: 5.41e-04
+2022-09-17 17:14:03,192 INFO [train.py:885] (0/2) Epoch 8, batch 11750, loss[loss=0.3136, simple_loss=0.3686, pruned_loss=0.1294, over 14263.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04472, over 141.00 utterances.], tot_loss[loss=0.3192, simple_loss=0.3769, pruned_loss=0.1308, over 2778856.01 frames. utt_duration=241.1 frames, utt_pad_proportion=0.0714, over 46382.13 utterances.], batch size: 141, lr: 5.41e-04
+2022-09-17 17:14:32,508 INFO [train.py:885] (0/2) Epoch 8, batch 11800, loss[loss=0.3268, simple_loss=0.3903, pruned_loss=0.1317, over 14324.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.038, over 283.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3791, pruned_loss=0.1328, over 2776924.28 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07181, over 46832.97 utterances.], batch size: 283, lr: 5.40e-04
+2022-09-17 17:15:01,991 INFO [train.py:885] (0/2) Epoch 8, batch 11850, loss[loss=0.3748, simple_loss=0.4261, pruned_loss=0.1617, over 14318.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03767, over 180.00 utterances.], tot_loss[loss=0.3212, simple_loss=0.3776, pruned_loss=0.1324, over 2782445.45 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06966, over 45633.34 utterances.], batch size: 180, lr: 5.40e-04
+2022-09-17 17:15:31,730 INFO [train.py:885] (0/2) Epoch 8, batch 11900, loss[loss=0.4324, simple_loss=0.4706, pruned_loss=0.1972, over 14214.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04403, over 306.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.377, pruned_loss=0.1324, over 2782463.34 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06997, over 45373.25 utterances.], batch size: 306, lr: 5.40e-04
+2022-09-17 17:16:00,974 INFO [train.py:885] (0/2) Epoch 8, batch 11950, loss[loss=0.5073, simple_loss=0.5587, pruned_loss=0.2279, over 13182.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.3188, simple_loss=0.3747, pruned_loss=0.1314, over 2783082.61 frames. utt_duration=251 frames, utt_pad_proportion=0.06854, over 44605.32 utterances.], batch size: 653, lr: 5.40e-04
+2022-09-17 17:16:30,921 INFO [train.py:885] (0/2) Epoch 8, batch 12000, loss[loss=0.2311, simple_loss=0.2767, pruned_loss=0.09281, over 12691.00 frames. utt_duration=2033 frames, utt_pad_proportion=0.1235, over 25.00 utterances.], tot_loss[loss=0.3215, simple_loss=0.3771, pruned_loss=0.1329, over 2777353.27 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07061, over 45982.14 utterances.], batch size: 25, lr: 5.40e-04
+2022-09-17 17:16:30,922 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 17:16:35,103 INFO [train.py:914] (0/2) Epoch 8, validation: loss=0.2079, simple_loss=0.284, pruned_loss=0.06587, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 17:17:04,296 INFO [train.py:885] (0/2) Epoch 8, batch 12050, loss[loss=0.195, simple_loss=0.261, pruned_loss=0.06445, over 13633.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.08512, over 42.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3728, pruned_loss=0.1304, over 2781238.69 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06906, over 44116.18 utterances.], batch size: 42, lr: 5.40e-04
+2022-09-17 17:17:34,220 INFO [train.py:885] (0/2) Epoch 8, batch 12100, loss[loss=0.3732, simple_loss=0.3943, pruned_loss=0.176, over 14111.00 frames. utt_duration=519.3 frames, utt_pad_proportion=0.04881, over 109.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3782, pruned_loss=0.1337, over 2778408.32 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07102, over 46419.55 utterances.], batch size: 109, lr: 5.40e-04
+2022-09-17 17:18:03,008 INFO [train.py:885] (0/2) Epoch 8, batch 12150, loss[loss=0.4853, simple_loss=0.4903, pruned_loss=0.2401, over 14216.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04413, over 335.00 utterances.], tot_loss[loss=0.3229, simple_loss=0.3786, pruned_loss=0.1336, over 2778920.21 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07119, over 46546.68 utterances.], batch size: 335, lr: 5.40e-04
+2022-09-17 17:18:33,586 INFO [train.py:885] (0/2) Epoch 8, batch 12200, loss[loss=0.5361, simple_loss=0.575, pruned_loss=0.2485, over 13227.00 frames. utt_duration=82.53 frames, utt_pad_proportion=0.1029, over 653.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3827, pruned_loss=0.1352, over 2776330.20 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07306, over 48018.50 utterances.], batch size: 653, lr: 5.39e-04
+2022-09-17 17:19:02,937 INFO [train.py:885] (0/2) Epoch 8, batch 12250, loss[loss=0.3245, simple_loss=0.387, pruned_loss=0.131, over 14347.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03656, over 210.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3802, pruned_loss=0.134, over 2775244.01 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07412, over 47476.79 utterances.], batch size: 210, lr: 5.39e-04
+2022-09-17 17:19:32,809 INFO [train.py:885] (0/2) Epoch 8, batch 12300, loss[loss=0.341, simple_loss=0.3876, pruned_loss=0.1472, over 14317.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03822, over 195.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3814, pruned_loss=0.135, over 2774848.39 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07543, over 47691.71 utterances.], batch size: 195, lr: 5.39e-04
+2022-09-17 17:20:02,320 INFO [train.py:885] (0/2) Epoch 8, batch 12350, loss[loss=0.2352, simple_loss=0.2917, pruned_loss=0.08936, over 13681.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.07894, over 50.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.3796, pruned_loss=0.134, over 2778461.55 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07348, over 46854.49 utterances.], batch size: 50, lr: 5.39e-04
+2022-09-17 17:20:31,928 INFO [train.py:885] (0/2) Epoch 8, batch 12400, loss[loss=0.2, simple_loss=0.2553, pruned_loss=0.07231, over 13457.00 frames. utt_duration=1283 frames, utt_pad_proportion=0.09633, over 42.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.3767, pruned_loss=0.1324, over 2782384.72 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07164, over 45418.97 utterances.], batch size: 42, lr: 5.39e-04
+2022-09-17 17:21:01,779 INFO [train.py:885] (0/2) Epoch 8, batch 12450, loss[loss=0.4211, simple_loss=0.4534, pruned_loss=0.1944, over 14244.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04227, over 335.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.379, pruned_loss=0.1339, over 2779239.31 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07117, over 45980.91 utterances.], batch size: 335, lr: 5.39e-04
+2022-09-17 17:21:37,678 INFO [train.py:885] (0/2) Epoch 8, batch 12500, loss[loss=0.5615, simple_loss=0.6226, pruned_loss=0.2502, over 12524.00 frames. utt_duration=63.43 frames, utt_pad_proportion=0.1429, over 810.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.3815, pruned_loss=0.1345, over 2784370.92 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07067, over 46434.92 utterances.], batch size: 810, lr: 5.39e-04
+2022-09-17 17:22:07,399 INFO [train.py:885] (0/2) Epoch 8, batch 12550, loss[loss=0.1701, simple_loss=0.2191, pruned_loss=0.0606, over 13166.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.117, over 33.00 utterances.], tot_loss[loss=0.3254, simple_loss=0.3814, pruned_loss=0.1348, over 2781592.43 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07254, over 47058.16 utterances.], batch size: 33, lr: 5.38e-04
+2022-09-17 17:22:34,666 INFO [train.py:885] (0/2) Epoch 8, batch 12600, loss[loss=0.3217, simple_loss=0.409, pruned_loss=0.1172, over 13765.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07211, over 411.00 utterances.], tot_loss[loss=0.3227, simple_loss=0.3779, pruned_loss=0.1337, over 2787437.02 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06896, over 44976.01 utterances.], batch size: 411, lr: 5.38e-04
+2022-09-17 17:22:45,679 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-8.pt
+2022-09-17 17:22:53,306 INFO [train.py:885] (0/2) Epoch 9, batch 0, loss[loss=0.3694, simple_loss=0.4166, pruned_loss=0.1611, over 14182.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04612, over 306.00 utterances.], tot_loss[loss=0.3694, simple_loss=0.4166, pruned_loss=0.1611, over 14182.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04612, over 306.00 utterances.], batch size: 306, lr: 5.17e-04
+2022-09-17 17:23:23,423 INFO [train.py:885] (0/2) Epoch 9, batch 50, loss[loss=0.2157, simple_loss=0.291, pruned_loss=0.07027, over 14168.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.04886, over 89.00 utterances.], tot_loss[loss=0.3304, simple_loss=0.3872, pruned_loss=0.1368, over 631377.23 frames. utt_duration=226.6 frames, utt_pad_proportion=0.0699, over 11218.97 utterances.], batch size: 89, lr: 5.17e-04
+2022-09-17 17:23:52,889 INFO [train.py:885] (0/2) Epoch 9, batch 100, loss[loss=0.249, simple_loss=0.3036, pruned_loss=0.09722, over 14235.00 frames. utt_duration=641.4 frames, utt_pad_proportion=0.04123, over 89.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3771, pruned_loss=0.1302, over 1106527.45 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07254, over 19320.70 utterances.], batch size: 89, lr: 5.17e-04
+2022-09-17 17:24:22,331 INFO [train.py:885] (0/2) Epoch 9, batch 150, loss[loss=0.3674, simple_loss=0.4502, pruned_loss=0.1423, over 13638.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08061, over 477.00 utterances.], tot_loss[loss=0.323, simple_loss=0.3808, pruned_loss=0.1326, over 1481176.80 frames. utt_duration=227.2 frames, utt_pad_proportion=0.07023, over 26250.80 utterances.], batch size: 477, lr: 5.16e-04
+2022-09-17 17:24:50,823 INFO [train.py:885] (0/2) Epoch 9, batch 200, loss[loss=0.3532, simple_loss=0.3857, pruned_loss=0.1604, over 14287.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03958, over 130.00 utterances.], tot_loss[loss=0.317, simple_loss=0.374, pruned_loss=0.13, over 1771112.13 frames. utt_duration=249 frames, utt_pad_proportion=0.06616, over 28622.79 utterances.], batch size: 130, lr: 5.16e-04
+2022-09-17 17:25:21,027 INFO [train.py:885] (0/2) Epoch 9, batch 250, loss[loss=0.2628, simple_loss=0.333, pruned_loss=0.0963, over 14105.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05268, over 98.00 utterances.], tot_loss[loss=0.3203, simple_loss=0.3776, pruned_loss=0.1315, over 1988856.49 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07234, over 32981.84 utterances.], batch size: 98, lr: 5.16e-04
+2022-09-17 17:25:50,136 INFO [train.py:885] (0/2) Epoch 9, batch 300, loss[loss=0.4307, simple_loss=0.4738, pruned_loss=0.1939, over 14012.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05505, over 365.00 utterances.], tot_loss[loss=0.3254, simple_loss=0.3823, pruned_loss=0.1342, over 2161514.61 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07517, over 37013.22 utterances.], batch size: 365, lr: 5.16e-04
+2022-09-17 17:26:20,093 INFO [train.py:885] (0/2) Epoch 9, batch 350, loss[loss=0.3036, simple_loss=0.3786, pruned_loss=0.1144, over 14317.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03764, over 210.00 utterances.], tot_loss[loss=0.3242, simple_loss=0.3812, pruned_loss=0.1336, over 2298307.22 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07565, over 39302.34 utterances.], batch size: 210, lr: 5.16e-04
+2022-09-17 17:26:49,314 INFO [train.py:885] (0/2) Epoch 9, batch 400, loss[loss=0.2849, simple_loss=0.3621, pruned_loss=0.1038, over 14285.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03984, over 180.00 utterances.], tot_loss[loss=0.3261, simple_loss=0.3828, pruned_loss=0.1347, over 2405274.50 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07513, over 41466.35 utterances.], batch size: 180, lr: 5.16e-04
+2022-09-17 17:27:19,740 INFO [train.py:885] (0/2) Epoch 9, batch 450, loss[loss=0.4222, simple_loss=0.4563, pruned_loss=0.194, over 14406.00 frames. utt_duration=275.9 frames, utt_pad_proportion=0.0319, over 210.00 utterances.], tot_loss[loss=0.3266, simple_loss=0.3834, pruned_loss=0.1349, over 2482622.88 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07827, over 43534.89 utterances.], batch size: 210, lr: 5.16e-04
+2022-09-17 17:27:48,619 INFO [train.py:885] (0/2) Epoch 9, batch 500, loss[loss=0.3203, simple_loss=0.4006, pruned_loss=0.12, over 13976.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05767, over 365.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3741, pruned_loss=0.1298, over 2543162.56 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07516, over 41755.17 utterances.], batch size: 365, lr: 5.16e-04
+2022-09-17 17:28:18,493 INFO [train.py:885] (0/2) Epoch 9, batch 550, loss[loss=0.3488, simple_loss=0.3933, pruned_loss=0.1522, over 14342.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03913, over 167.00 utterances.], tot_loss[loss=0.318, simple_loss=0.3755, pruned_loss=0.1302, over 2599107.86 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07405, over 42725.21 utterances.], batch size: 167, lr: 5.15e-04
+2022-09-17 17:28:48,315 INFO [train.py:885] (0/2) Epoch 9, batch 600, loss[loss=0.2849, simple_loss=0.343, pruned_loss=0.1134, over 14298.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04135, over 154.00 utterances.], tot_loss[loss=0.322, simple_loss=0.3796, pruned_loss=0.1322, over 2638537.15 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07572, over 44916.78 utterances.], batch size: 154, lr: 5.15e-04
+2022-09-17 17:29:17,865 INFO [train.py:885] (0/2) Epoch 9, batch 650, loss[loss=0.2266, simple_loss=0.2854, pruned_loss=0.08389, over 13979.00 frames. utt_duration=709.4 frames, utt_pad_proportion=0.06168, over 79.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3773, pruned_loss=0.1303, over 2665421.71 frames. utt_duration=235.3 frames, utt_pad_proportion=0.0768, over 45601.47 utterances.], batch size: 79, lr: 5.15e-04
+2022-09-17 17:29:47,532 INFO [train.py:885] (0/2) Epoch 9, batch 700, loss[loss=0.2907, simple_loss=0.3625, pruned_loss=0.1094, over 14374.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03185, over 244.00 utterances.], tot_loss[loss=0.3163, simple_loss=0.3748, pruned_loss=0.1289, over 2687650.55 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07595, over 44958.56 utterances.], batch size: 244, lr: 5.15e-04
+2022-09-17 17:30:16,846 INFO [train.py:885] (0/2) Epoch 9, batch 750, loss[loss=0.2817, simple_loss=0.3378, pruned_loss=0.1128, over 14298.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.03848, over 130.00 utterances.], tot_loss[loss=0.3136, simple_loss=0.3724, pruned_loss=0.1274, over 2705397.48 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07531, over 44356.27 utterances.], batch size: 130, lr: 5.15e-04
+2022-09-17 17:30:46,673 INFO [train.py:885] (0/2) Epoch 9, batch 800, loss[loss=0.3194, simple_loss=0.3877, pruned_loss=0.1256, over 14315.00 frames. utt_duration=236.2 frames, utt_pad_proportion=0.0359, over 244.00 utterances.], tot_loss[loss=0.3146, simple_loss=0.3732, pruned_loss=0.128, over 2717543.18 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07492, over 44722.48 utterances.], batch size: 244, lr: 5.15e-04
+2022-09-17 17:31:16,267 INFO [train.py:885] (0/2) Epoch 9, batch 850, loss[loss=0.1769, simple_loss=0.2406, pruned_loss=0.05663, over 13781.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.06761, over 42.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3733, pruned_loss=0.1287, over 2732643.34 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07302, over 44682.34 utterances.], batch size: 42, lr: 5.15e-04
+2022-09-17 17:31:45,663 INFO [train.py:885] (0/2) Epoch 9, batch 900, loss[loss=0.3061, simple_loss=0.3696, pruned_loss=0.1213, over 14308.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03857, over 226.00 utterances.], tot_loss[loss=0.3192, simple_loss=0.3764, pruned_loss=0.131, over 2747773.18 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07212, over 45224.56 utterances.], batch size: 226, lr: 5.15e-04
+2022-09-17 17:32:15,036 INFO [train.py:885] (0/2) Epoch 9, batch 950, loss[loss=0.2621, simple_loss=0.3312, pruned_loss=0.09655, over 14327.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03841, over 130.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3703, pruned_loss=0.1276, over 2753699.33 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06974, over 42584.18 utterances.], batch size: 130, lr: 5.14e-04
+2022-09-17 17:32:45,056 INFO [train.py:885] (0/2) Epoch 9, batch 1000, loss[loss=0.4311, simple_loss=0.4498, pruned_loss=0.2062, over 14342.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03951, over 167.00 utterances.], tot_loss[loss=0.3185, simple_loss=0.3744, pruned_loss=0.1313, over 2764927.20 frames. utt_duration=259 frames, utt_pad_proportion=0.06842, over 42951.33 utterances.], batch size: 167, lr: 5.14e-04
+2022-09-17 17:33:14,483 INFO [train.py:885] (0/2) Epoch 9, batch 1050, loss[loss=0.3577, simple_loss=0.4113, pruned_loss=0.1521, over 14343.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03745, over 283.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3729, pruned_loss=0.1306, over 2766049.01 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06886, over 42504.56 utterances.], batch size: 283, lr: 5.14e-04
+2022-09-17 17:33:43,992 INFO [train.py:885] (0/2) Epoch 9, batch 1100, loss[loss=0.2718, simple_loss=0.3394, pruned_loss=0.1021, over 14301.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.0417, over 120.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3712, pruned_loss=0.1293, over 2771844.77 frames. utt_duration=265.6 frames, utt_pad_proportion=0.06749, over 41973.30 utterances.], batch size: 120, lr: 5.14e-04
+2022-09-17 17:34:13,064 INFO [train.py:885] (0/2) Epoch 9, batch 1150, loss[loss=0.356, simple_loss=0.387, pruned_loss=0.1625, over 14212.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04337, over 141.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3725, pruned_loss=0.1293, over 2775648.14 frames. utt_duration=261.3 frames, utt_pad_proportion=0.06719, over 42727.97 utterances.], batch size: 141, lr: 5.14e-04
+2022-09-17 17:34:42,822 INFO [train.py:885] (0/2) Epoch 9, batch 1200, loss[loss=0.3072, simple_loss=0.3704, pruned_loss=0.122, over 14396.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03463, over 211.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3741, pruned_loss=0.1303, over 2779647.15 frames. utt_duration=259.2 frames, utt_pad_proportion=0.06506, over 43143.60 utterances.], batch size: 211, lr: 5.14e-04
+2022-09-17 17:35:12,259 INFO [train.py:885] (0/2) Epoch 9, batch 1250, loss[loss=0.2824, simple_loss=0.3321, pruned_loss=0.1163, over 14140.00 frames. utt_duration=637.2 frames, utt_pad_proportion=0.0504, over 89.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3733, pruned_loss=0.13, over 2781730.63 frames. utt_duration=262.9 frames, utt_pad_proportion=0.06492, over 42553.82 utterances.], batch size: 89, lr: 5.14e-04
+2022-09-17 17:35:42,170 INFO [train.py:885] (0/2) Epoch 9, batch 1300, loss[loss=0.6245, simple_loss=0.661, pruned_loss=0.294, over 12533.00 frames. utt_duration=63.45 frames, utt_pad_proportion=0.1426, over 810.00 utterances.], tot_loss[loss=0.3157, simple_loss=0.3731, pruned_loss=0.1292, over 2783330.60 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06667, over 43241.49 utterances.], batch size: 810, lr: 5.14e-04
+2022-09-17 17:36:12,025 INFO [train.py:885] (0/2) Epoch 9, batch 1350, loss[loss=0.2873, simple_loss=0.3456, pruned_loss=0.1145, over 14158.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04569, over 109.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3743, pruned_loss=0.13, over 2780689.32 frames. utt_duration=255.8 frames, utt_pad_proportion=0.0689, over 43732.10 utterances.], batch size: 109, lr: 5.13e-04
+2022-09-17 17:36:40,962 INFO [train.py:885] (0/2) Epoch 9, batch 1400, loss[loss=0.1889, simple_loss=0.2474, pruned_loss=0.06518, over 13611.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08076, over 50.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3721, pruned_loss=0.1288, over 2779563.88 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06941, over 43444.71 utterances.], batch size: 50, lr: 5.13e-04
+2022-09-17 17:37:10,815 INFO [train.py:885] (0/2) Epoch 9, batch 1450, loss[loss=0.4702, simple_loss=0.485, pruned_loss=0.2277, over 14320.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03875, over 283.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3716, pruned_loss=0.1287, over 2781444.98 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06962, over 43087.65 utterances.], batch size: 283, lr: 5.13e-04
+2022-09-17 17:37:39,618 INFO [train.py:885] (0/2) Epoch 9, batch 1500, loss[loss=0.2664, simple_loss=0.3415, pruned_loss=0.09563, over 14135.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.04742, over 109.00 utterances.], tot_loss[loss=0.3146, simple_loss=0.3721, pruned_loss=0.1286, over 2780839.15 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06955, over 43602.26 utterances.], batch size: 109, lr: 5.13e-04
+2022-09-17 17:38:09,689 INFO [train.py:885] (0/2) Epoch 9, batch 1550, loss[loss=0.3559, simple_loss=0.406, pruned_loss=0.1529, over 14320.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03988, over 262.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3725, pruned_loss=0.1289, over 2780926.34 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07075, over 43998.25 utterances.], batch size: 262, lr: 5.13e-04
+2022-09-17 17:38:38,704 INFO [train.py:885] (0/2) Epoch 9, batch 1600, loss[loss=0.2828, simple_loss=0.3485, pruned_loss=0.1086, over 14347.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.03533, over 130.00 utterances.], tot_loss[loss=0.3139, simple_loss=0.3712, pruned_loss=0.1282, over 2781854.05 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07068, over 43796.36 utterances.], batch size: 130, lr: 5.13e-04
+2022-09-17 17:39:08,633 INFO [train.py:885] (0/2) Epoch 9, batch 1650, loss[loss=0.321, simple_loss=0.3826, pruned_loss=0.1297, over 14400.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.0309, over 244.00 utterances.], tot_loss[loss=0.3177, simple_loss=0.3754, pruned_loss=0.13, over 2781290.35 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07169, over 46034.76 utterances.], batch size: 244, lr: 5.13e-04
+2022-09-17 17:39:37,838 INFO [train.py:885] (0/2) Epoch 9, batch 1700, loss[loss=0.2113, simple_loss=0.2768, pruned_loss=0.07293, over 13996.00 frames. utt_duration=801.3 frames, utt_pad_proportion=0.06501, over 70.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3741, pruned_loss=0.1298, over 2785408.14 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06876, over 44911.19 utterances.], batch size: 70, lr: 5.13e-04
+2022-09-17 17:40:07,654 INFO [train.py:885] (0/2) Epoch 9, batch 1750, loss[loss=0.2667, simple_loss=0.329, pruned_loss=0.1022, over 14310.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03934, over 120.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3753, pruned_loss=0.1306, over 2783402.66 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07099, over 45770.84 utterances.], batch size: 120, lr: 5.12e-04
+2022-09-17 17:40:37,376 INFO [train.py:885] (0/2) Epoch 9, batch 1800, loss[loss=0.3216, simple_loss=0.3914, pruned_loss=0.1259, over 14347.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03584, over 210.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3723, pruned_loss=0.1293, over 2786668.28 frames. utt_duration=256 frames, utt_pad_proportion=0.06733, over 43796.42 utterances.], batch size: 210, lr: 5.12e-04
+2022-09-17 17:41:06,821 INFO [train.py:885] (0/2) Epoch 9, batch 1850, loss[loss=0.3569, simple_loss=0.4432, pruned_loss=0.1353, over 13663.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07925, over 477.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3714, pruned_loss=0.1274, over 2788819.07 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06688, over 44130.63 utterances.], batch size: 477, lr: 5.12e-04
+2022-09-17 17:41:36,471 INFO [train.py:885] (0/2) Epoch 9, batch 1900, loss[loss=0.23, simple_loss=0.2932, pruned_loss=0.0834, over 13825.00 frames. utt_duration=923 frames, utt_pad_proportion=0.07145, over 60.00 utterances.], tot_loss[loss=0.3116, simple_loss=0.3695, pruned_loss=0.1268, over 2789143.78 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06718, over 43789.92 utterances.], batch size: 60, lr: 5.12e-04
+2022-09-17 17:42:05,724 INFO [train.py:885] (0/2) Epoch 9, batch 1950, loss[loss=0.2039, simple_loss=0.2616, pruned_loss=0.0731, over 13452.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09491, over 50.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3687, pruned_loss=0.1266, over 2786459.57 frames. utt_duration=258.5 frames, utt_pad_proportion=0.0676, over 43368.10 utterances.], batch size: 50, lr: 5.12e-04
+2022-09-17 17:42:35,269 INFO [train.py:885] (0/2) Epoch 9, batch 2000, loss[loss=0.3067, simple_loss=0.3725, pruned_loss=0.1205, over 14324.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03456, over 154.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3725, pruned_loss=0.1288, over 2782216.83 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07124, over 44922.01 utterances.], batch size: 154, lr: 5.12e-04
+2022-09-17 17:43:04,384 INFO [train.py:885] (0/2) Epoch 9, batch 2050, loss[loss=0.2553, simple_loss=0.3283, pruned_loss=0.0911, over 14151.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04633, over 109.00 utterances.], tot_loss[loss=0.3142, simple_loss=0.372, pruned_loss=0.1282, over 2786207.73 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06955, over 44559.76 utterances.], batch size: 109, lr: 5.12e-04
+2022-09-17 17:43:34,280 INFO [train.py:885] (0/2) Epoch 9, batch 2100, loss[loss=0.3421, simple_loss=0.4142, pruned_loss=0.135, over 13973.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05773, over 365.00 utterances.], tot_loss[loss=0.3107, simple_loss=0.3683, pruned_loss=0.1265, over 2790887.15 frames. utt_duration=263.8 frames, utt_pad_proportion=0.06572, over 42557.63 utterances.], batch size: 365, lr: 5.12e-04
+2022-09-17 17:44:04,014 INFO [train.py:885] (0/2) Epoch 9, batch 2150, loss[loss=0.184, simple_loss=0.2385, pruned_loss=0.06477, over 13024.00 frames. utt_duration=1580 frames, utt_pad_proportion=0.1052, over 33.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.37, pruned_loss=0.127, over 2786993.23 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06818, over 43272.06 utterances.], batch size: 33, lr: 5.11e-04
+2022-09-17 17:44:33,896 INFO [train.py:885] (0/2) Epoch 9, batch 2200, loss[loss=0.2103, simple_loss=0.2623, pruned_loss=0.07917, over 13482.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.08994, over 50.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3728, pruned_loss=0.1285, over 2785146.22 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06947, over 44739.99 utterances.], batch size: 50, lr: 5.11e-04
+2022-09-17 17:45:03,582 INFO [train.py:885] (0/2) Epoch 9, batch 2250, loss[loss=0.3113, simple_loss=0.376, pruned_loss=0.1233, over 14322.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.0407, over 167.00 utterances.], tot_loss[loss=0.3202, simple_loss=0.3779, pruned_loss=0.1313, over 2784259.95 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07258, over 46754.23 utterances.], batch size: 167, lr: 5.11e-04
+2022-09-17 17:45:32,517 INFO [train.py:885] (0/2) Epoch 9, batch 2300, loss[loss=0.2288, simple_loss=0.2706, pruned_loss=0.09346, over 13854.00 frames. utt_duration=804.8 frames, utt_pad_proportion=0.06204, over 69.00 utterances.], tot_loss[loss=0.3182, simple_loss=0.3758, pruned_loss=0.1303, over 2784520.84 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07146, over 46050.62 utterances.], batch size: 69, lr: 5.11e-04
+2022-09-17 17:46:02,321 INFO [train.py:885] (0/2) Epoch 9, batch 2350, loss[loss=0.3485, simple_loss=0.4003, pruned_loss=0.1484, over 14371.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.03491, over 195.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3739, pruned_loss=0.1296, over 2787533.03 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06926, over 44253.56 utterances.], batch size: 195, lr: 5.11e-04
+2022-09-17 17:46:31,687 INFO [train.py:885] (0/2) Epoch 9, batch 2400, loss[loss=0.3105, simple_loss=0.3661, pruned_loss=0.1275, over 14311.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03761, over 130.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.3736, pruned_loss=0.1291, over 2788251.32 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06782, over 44103.91 utterances.], batch size: 130, lr: 5.11e-04
+2022-09-17 17:47:01,713 INFO [train.py:885] (0/2) Epoch 9, batch 2450, loss[loss=0.3872, simple_loss=0.4628, pruned_loss=0.1558, over 13611.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08246, over 477.00 utterances.], tot_loss[loss=0.3179, simple_loss=0.3764, pruned_loss=0.1298, over 2787118.34 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06893, over 46092.54 utterances.], batch size: 477, lr: 5.11e-04
+2022-09-17 17:47:31,687 INFO [train.py:885] (0/2) Epoch 9, batch 2500, loss[loss=0.2311, simple_loss=0.2702, pruned_loss=0.09602, over 13300.00 frames. utt_duration=1614 frames, utt_pad_proportion=0.108, over 33.00 utterances.], tot_loss[loss=0.3162, simple_loss=0.3752, pruned_loss=0.1287, over 2782324.38 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07081, over 46494.24 utterances.], batch size: 33, lr: 5.11e-04
+2022-09-17 17:48:00,994 INFO [train.py:885] (0/2) Epoch 9, batch 2550, loss[loss=0.2821, simple_loss=0.3197, pruned_loss=0.1222, over 14037.00 frames. utt_duration=712.5 frames, utt_pad_proportion=0.05632, over 79.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3755, pruned_loss=0.1288, over 2781669.39 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0716, over 46242.90 utterances.], batch size: 79, lr: 5.10e-04
+2022-09-17 17:48:29,400 INFO [train.py:885] (0/2) Epoch 9, batch 2600, loss[loss=0.1574, simple_loss=0.2044, pruned_loss=0.05515, over 13051.00 frames. utt_duration=1583 frames, utt_pad_proportion=0.1189, over 33.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.374, pruned_loss=0.1285, over 2783285.78 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06904, over 45358.59 utterances.], batch size: 33, lr: 5.10e-04
+2022-09-17 17:49:07,117 INFO [train.py:885] (0/2) Epoch 9, batch 2650, loss[loss=0.3812, simple_loss=0.4326, pruned_loss=0.1649, over 13973.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05743, over 365.00 utterances.], tot_loss[loss=0.3185, simple_loss=0.3768, pruned_loss=0.1301, over 2777336.70 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07261, over 46994.84 utterances.], batch size: 365, lr: 5.10e-04
+2022-09-17 17:49:35,967 INFO [train.py:885] (0/2) Epoch 9, batch 2700, loss[loss=0.2081, simple_loss=0.2693, pruned_loss=0.07341, over 13351.00 frames. utt_duration=2055 frames, utt_pad_proportion=0.08896, over 26.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.3761, pruned_loss=0.1295, over 2773529.51 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07277, over 46647.67 utterances.], batch size: 26, lr: 5.10e-04
+2022-09-17 17:50:06,348 INFO [train.py:885] (0/2) Epoch 9, batch 2750, loss[loss=0.361, simple_loss=0.4123, pruned_loss=0.1548, over 14340.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03686, over 210.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3755, pruned_loss=0.1295, over 2775997.99 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07315, over 46665.27 utterances.], batch size: 210, lr: 5.10e-04
+2022-09-17 17:50:34,855 INFO [train.py:885] (0/2) Epoch 9, batch 2800, loss[loss=0.3624, simple_loss=0.4128, pruned_loss=0.156, over 14224.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04318, over 306.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3739, pruned_loss=0.1294, over 2776431.97 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07266, over 45769.90 utterances.], batch size: 306, lr: 5.10e-04
+2022-09-17 17:51:05,656 INFO [train.py:885] (0/2) Epoch 9, batch 2850, loss[loss=0.1901, simple_loss=0.2589, pruned_loss=0.06065, over 13655.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.0816, over 50.00 utterances.], tot_loss[loss=0.3175, simple_loss=0.3755, pruned_loss=0.1298, over 2770233.74 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07426, over 47303.09 utterances.], batch size: 50, lr: 5.10e-04
+2022-09-17 17:51:34,623 INFO [train.py:885] (0/2) Epoch 9, batch 2900, loss[loss=0.2577, simple_loss=0.3298, pruned_loss=0.09281, over 14321.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04077, over 167.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3751, pruned_loss=0.1298, over 2772617.97 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07342, over 46179.34 utterances.], batch size: 167, lr: 5.10e-04
+2022-09-17 17:52:04,395 INFO [train.py:885] (0/2) Epoch 9, batch 2950, loss[loss=0.245, simple_loss=0.2971, pruned_loss=0.09643, over 14134.00 frames. utt_duration=717.1 frames, utt_pad_proportion=0.05149, over 79.00 utterances.], tot_loss[loss=0.317, simple_loss=0.3749, pruned_loss=0.1296, over 2774732.29 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07134, over 45837.33 utterances.], batch size: 79, lr: 5.09e-04
+2022-09-17 17:52:34,255 INFO [train.py:885] (0/2) Epoch 9, batch 3000, loss[loss=0.3142, simple_loss=0.3758, pruned_loss=0.1263, over 14344.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03606, over 195.00 utterances.], tot_loss[loss=0.3138, simple_loss=0.3715, pruned_loss=0.128, over 2775889.20 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07017, over 44564.20 utterances.], batch size: 195, lr: 5.09e-04
+2022-09-17 17:52:34,257 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 17:52:38,440 INFO [train.py:914] (0/2) Epoch 9, validation: loss=0.2097, simple_loss=0.2858, pruned_loss=0.06676, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 17:53:01,761 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-104000.pt
+2022-09-17 17:53:08,706 INFO [train.py:885] (0/2) Epoch 9, batch 3050, loss[loss=0.2703, simple_loss=0.3493, pruned_loss=0.09569, over 14317.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04112, over 167.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3701, pruned_loss=0.1277, over 2775793.51 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07039, over 44110.38 utterances.], batch size: 167, lr: 5.09e-04
+2022-09-17 17:53:37,854 INFO [train.py:885] (0/2) Epoch 9, batch 3100, loss[loss=0.3425, simple_loss=0.4009, pruned_loss=0.142, over 14318.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03781, over 210.00 utterances.], tot_loss[loss=0.3144, simple_loss=0.3721, pruned_loss=0.1283, over 2775808.87 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0709, over 44835.88 utterances.], batch size: 210, lr: 5.09e-04
+2022-09-17 17:54:07,747 INFO [train.py:885] (0/2) Epoch 9, batch 3150, loss[loss=0.295, simple_loss=0.3542, pruned_loss=0.1179, over 14390.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.03792, over 131.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3734, pruned_loss=0.129, over 2777340.55 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07134, over 45018.20 utterances.], batch size: 131, lr: 5.09e-04
+2022-09-17 17:54:37,019 INFO [train.py:885] (0/2) Epoch 9, batch 3200, loss[loss=0.3934, simple_loss=0.4702, pruned_loss=0.1583, over 13636.00 frames. utt_duration=98.83 frames, utt_pad_proportion=0.07637, over 560.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3762, pruned_loss=0.1306, over 2778741.53 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07175, over 46151.69 utterances.], batch size: 560, lr: 5.09e-04
+2022-09-17 17:55:06,268 INFO [train.py:885] (0/2) Epoch 9, batch 3250, loss[loss=0.3303, simple_loss=0.384, pruned_loss=0.1383, over 14339.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03958, over 167.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3751, pruned_loss=0.1297, over 2783582.66 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07039, over 45553.75 utterances.], batch size: 167, lr: 5.09e-04
+2022-09-17 17:55:35,118 INFO [train.py:885] (0/2) Epoch 9, batch 3300, loss[loss=0.2657, simple_loss=0.322, pruned_loss=0.1047, over 14183.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04747, over 89.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3735, pruned_loss=0.1289, over 2781960.64 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07199, over 45530.11 utterances.], batch size: 89, lr: 5.09e-04
+2022-09-17 17:56:04,850 INFO [train.py:885] (0/2) Epoch 9, batch 3350, loss[loss=0.4137, simple_loss=0.4497, pruned_loss=0.1888, over 14276.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04017, over 225.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3722, pruned_loss=0.1283, over 2781703.00 frames. utt_duration=249 frames, utt_pad_proportion=0.07119, over 44946.75 utterances.], batch size: 225, lr: 5.08e-04
+2022-09-17 17:56:33,802 INFO [train.py:885] (0/2) Epoch 9, batch 3400, loss[loss=0.3579, simple_loss=0.4414, pruned_loss=0.1372, over 13623.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.0774, over 560.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3734, pruned_loss=0.1288, over 2785729.40 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07006, over 44777.81 utterances.], batch size: 560, lr: 5.08e-04
+2022-09-17 17:57:03,822 INFO [train.py:885] (0/2) Epoch 9, batch 3450, loss[loss=0.3431, simple_loss=0.4249, pruned_loss=0.1307, over 13772.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07154, over 411.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3722, pruned_loss=0.1282, over 2787796.60 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06837, over 44179.20 utterances.], batch size: 411, lr: 5.08e-04
+2022-09-17 17:57:33,583 INFO [train.py:885] (0/2) Epoch 9, batch 3500, loss[loss=0.2595, simple_loss=0.3175, pruned_loss=0.1007, over 14387.00 frames. utt_duration=481.1 frames, utt_pad_proportion=0.03399, over 120.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3711, pruned_loss=0.128, over 2785273.86 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06931, over 43718.85 utterances.], batch size: 120, lr: 5.08e-04
+2022-09-17 17:58:02,872 INFO [train.py:885] (0/2) Epoch 9, batch 3550, loss[loss=0.3922, simple_loss=0.4795, pruned_loss=0.1524, over 13115.00 frames. utt_duration=81.85 frames, utt_pad_proportion=0.1103, over 653.00 utterances.], tot_loss[loss=0.3121, simple_loss=0.3703, pruned_loss=0.1269, over 2785967.58 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06882, over 43409.18 utterances.], batch size: 653, lr: 5.08e-04
+2022-09-17 17:58:32,624 INFO [train.py:885] (0/2) Epoch 9, batch 3600, loss[loss=0.3926, simple_loss=0.4385, pruned_loss=0.1733, over 14175.00 frames. utt_duration=170.5 frames, utt_pad_proportion=0.04723, over 335.00 utterances.], tot_loss[loss=0.3157, simple_loss=0.3734, pruned_loss=0.1291, over 2787254.92 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06835, over 44596.07 utterances.], batch size: 335, lr: 5.08e-04
+2022-09-17 17:59:02,087 INFO [train.py:885] (0/2) Epoch 9, batch 3650, loss[loss=0.3354, simple_loss=0.3813, pruned_loss=0.1447, over 14286.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03934, over 180.00 utterances.], tot_loss[loss=0.3195, simple_loss=0.3767, pruned_loss=0.1312, over 2785287.45 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07101, over 45824.33 utterances.], batch size: 180, lr: 5.08e-04
+2022-09-17 17:59:31,786 INFO [train.py:885] (0/2) Epoch 9, batch 3700, loss[loss=0.353, simple_loss=0.4347, pruned_loss=0.1357, over 13641.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.07464, over 478.00 utterances.], tot_loss[loss=0.3233, simple_loss=0.3801, pruned_loss=0.1332, over 2781117.70 frames. utt_duration=237 frames, utt_pad_proportion=0.07326, over 47234.34 utterances.], batch size: 478, lr: 5.08e-04
+2022-09-17 18:00:01,335 INFO [train.py:885] (0/2) Epoch 9, batch 3750, loss[loss=0.4558, simple_loss=0.4668, pruned_loss=0.2224, over 14350.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03599, over 210.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3764, pruned_loss=0.1318, over 2784220.45 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06989, over 45154.48 utterances.], batch size: 210, lr: 5.08e-04
+2022-09-17 18:00:31,101 INFO [train.py:885] (0/2) Epoch 9, batch 3800, loss[loss=0.3391, simple_loss=0.3966, pruned_loss=0.1408, over 14315.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03935, over 262.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3773, pruned_loss=0.1318, over 2783406.92 frames. utt_duration=246 frames, utt_pad_proportion=0.07063, over 45537.54 utterances.], batch size: 262, lr: 5.07e-04
+2022-09-17 18:01:00,372 INFO [train.py:885] (0/2) Epoch 9, batch 3850, loss[loss=0.3444, simple_loss=0.3893, pruned_loss=0.1497, over 14276.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.04002, over 130.00 utterances.], tot_loss[loss=0.3236, simple_loss=0.3795, pruned_loss=0.1339, over 2779154.96 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07162, over 45882.37 utterances.], batch size: 130, lr: 5.07e-04
+2022-09-17 18:01:29,745 INFO [train.py:885] (0/2) Epoch 9, batch 3900, loss[loss=0.3773, simple_loss=0.4241, pruned_loss=0.1652, over 14291.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04014, over 283.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3749, pruned_loss=0.1313, over 2779943.91 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06928, over 44315.30 utterances.], batch size: 283, lr: 5.07e-04
+2022-09-17 18:01:59,500 INFO [train.py:885] (0/2) Epoch 9, batch 3950, loss[loss=0.579, simple_loss=0.6372, pruned_loss=0.2604, over 12439.00 frames. utt_duration=63.03 frames, utt_pad_proportion=0.1482, over 810.00 utterances.], tot_loss[loss=0.3132, simple_loss=0.3705, pruned_loss=0.1279, over 2780351.41 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06836, over 43515.16 utterances.], batch size: 810, lr: 5.07e-04
+2022-09-17 18:02:28,220 INFO [train.py:885] (0/2) Epoch 9, batch 4000, loss[loss=0.7071, simple_loss=0.7295, pruned_loss=0.3424, over 12494.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1452, over 810.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3724, pruned_loss=0.1294, over 2780119.33 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07083, over 44257.71 utterances.], batch size: 810, lr: 5.07e-04
+2022-09-17 18:02:57,845 INFO [train.py:885] (0/2) Epoch 9, batch 4050, loss[loss=0.1791, simple_loss=0.2387, pruned_loss=0.05976, over 13675.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.0868, over 42.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3702, pruned_loss=0.1277, over 2778969.84 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07167, over 43983.15 utterances.], batch size: 42, lr: 5.07e-04
+2022-09-17 18:03:27,230 INFO [train.py:885] (0/2) Epoch 9, batch 4100, loss[loss=0.4627, simple_loss=0.4773, pruned_loss=0.224, over 14201.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04438, over 306.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3741, pruned_loss=0.1298, over 2778903.51 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07223, over 44928.78 utterances.], batch size: 306, lr: 5.07e-04
+2022-09-17 18:04:04,316 INFO [train.py:885] (0/2) Epoch 9, batch 4150, loss[loss=0.1959, simple_loss=0.2624, pruned_loss=0.06467, over 13260.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1072, over 33.00 utterances.], tot_loss[loss=0.3139, simple_loss=0.3712, pruned_loss=0.1283, over 2776837.27 frames. utt_duration=254.6 frames, utt_pad_proportion=0.07196, over 43883.41 utterances.], batch size: 33, lr: 5.07e-04
+2022-09-17 18:04:32,876 INFO [train.py:885] (0/2) Epoch 9, batch 4200, loss[loss=0.2809, simple_loss=0.3357, pruned_loss=0.113, over 14332.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03976, over 120.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3743, pruned_loss=0.1293, over 2780491.46 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07228, over 45809.71 utterances.], batch size: 120, lr: 5.06e-04
+2022-09-17 18:05:01,975 INFO [train.py:885] (0/2) Epoch 9, batch 4250, loss[loss=0.3012, simple_loss=0.3545, pruned_loss=0.124, over 14147.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04651, over 109.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3731, pruned_loss=0.129, over 2781416.39 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07243, over 44980.59 utterances.], batch size: 109, lr: 5.06e-04
+2022-09-17 18:05:31,477 INFO [train.py:885] (0/2) Epoch 9, batch 4300, loss[loss=0.3616, simple_loss=0.4083, pruned_loss=0.1574, over 14351.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.0364, over 195.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3745, pruned_loss=0.1295, over 2783531.18 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07159, over 45504.50 utterances.], batch size: 195, lr: 5.06e-04
+2022-09-17 18:06:00,421 INFO [train.py:885] (0/2) Epoch 9, batch 4350, loss[loss=0.2093, simple_loss=0.2716, pruned_loss=0.07354, over 13998.00 frames. utt_duration=813.1 frames, utt_pad_proportion=0.05348, over 69.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.3748, pruned_loss=0.1297, over 2782386.09 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07232, over 45635.89 utterances.], batch size: 69, lr: 5.06e-04
+2022-09-17 18:06:29,943 INFO [train.py:885] (0/2) Epoch 9, batch 4400, loss[loss=0.4069, simple_loss=0.4478, pruned_loss=0.1829, over 14312.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03885, over 283.00 utterances.], tot_loss[loss=0.3196, simple_loss=0.3769, pruned_loss=0.1312, over 2783757.00 frames. utt_duration=246 frames, utt_pad_proportion=0.07105, over 45534.26 utterances.], batch size: 283, lr: 5.06e-04
+2022-09-17 18:06:59,148 INFO [train.py:885] (0/2) Epoch 9, batch 4450, loss[loss=0.2054, simple_loss=0.2646, pruned_loss=0.0731, over 13372.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08594, over 41.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3748, pruned_loss=0.1295, over 2784520.85 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07065, over 44759.35 utterances.], batch size: 41, lr: 5.06e-04
+2022-09-17 18:07:28,196 INFO [train.py:885] (0/2) Epoch 9, batch 4500, loss[loss=0.1936, simple_loss=0.2581, pruned_loss=0.06456, over 13937.00 frames. utt_duration=930.6 frames, utt_pad_proportion=0.06476, over 60.00 utterances.], tot_loss[loss=0.3132, simple_loss=0.3716, pruned_loss=0.1274, over 2788630.07 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06739, over 43862.19 utterances.], batch size: 60, lr: 5.06e-04
+2022-09-17 18:07:57,300 INFO [train.py:885] (0/2) Epoch 9, batch 4550, loss[loss=0.2221, simple_loss=0.2833, pruned_loss=0.08041, over 13974.00 frames. utt_duration=709 frames, utt_pad_proportion=0.06098, over 79.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3705, pruned_loss=0.1276, over 2791701.12 frames. utt_duration=264 frames, utt_pad_proportion=0.06617, over 42536.54 utterances.], batch size: 79, lr: 5.06e-04
+2022-09-17 18:08:26,782 INFO [train.py:885] (0/2) Epoch 9, batch 4600, loss[loss=0.3243, simple_loss=0.3792, pruned_loss=0.1347, over 14267.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04083, over 180.00 utterances.], tot_loss[loss=0.3124, simple_loss=0.3698, pruned_loss=0.1275, over 2785257.06 frames. utt_duration=263.2 frames, utt_pad_proportion=0.06947, over 42570.70 utterances.], batch size: 180, lr: 5.05e-04
+2022-09-17 18:08:56,705 INFO [train.py:885] (0/2) Epoch 9, batch 4650, loss[loss=0.3199, simple_loss=0.3819, pruned_loss=0.1289, over 14365.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03515, over 210.00 utterances.], tot_loss[loss=0.3122, simple_loss=0.3695, pruned_loss=0.1275, over 2783553.07 frames. utt_duration=265.2 frames, utt_pad_proportion=0.06941, over 42226.87 utterances.], batch size: 210, lr: 5.05e-04
+2022-09-17 18:09:25,603 INFO [train.py:885] (0/2) Epoch 9, batch 4700, loss[loss=0.215, simple_loss=0.2823, pruned_loss=0.07389, over 14109.00 frames. utt_duration=807.7 frames, utt_pad_proportion=0.05639, over 70.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3742, pruned_loss=0.13, over 2786247.55 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06883, over 43550.37 utterances.], batch size: 70, lr: 5.05e-04
+2022-09-17 18:09:55,505 INFO [train.py:885] (0/2) Epoch 9, batch 4750, loss[loss=0.2067, simple_loss=0.2681, pruned_loss=0.07265, over 14157.00 frames. utt_duration=810.4 frames, utt_pad_proportion=0.05211, over 70.00 utterances.], tot_loss[loss=0.3194, simple_loss=0.376, pruned_loss=0.1314, over 2786540.84 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06819, over 43817.59 utterances.], batch size: 70, lr: 5.05e-04
+2022-09-17 18:10:24,750 INFO [train.py:885] (0/2) Epoch 9, batch 4800, loss[loss=0.2703, simple_loss=0.3361, pruned_loss=0.1022, over 14284.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.0431, over 141.00 utterances.], tot_loss[loss=0.3206, simple_loss=0.3778, pruned_loss=0.1316, over 2789158.48 frames. utt_duration=251 frames, utt_pad_proportion=0.06798, over 44715.21 utterances.], batch size: 141, lr: 5.05e-04
+2022-09-17 18:10:54,439 INFO [train.py:885] (0/2) Epoch 9, batch 4850, loss[loss=0.2637, simple_loss=0.3206, pruned_loss=0.1034, over 14209.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04234, over 109.00 utterances.], tot_loss[loss=0.3181, simple_loss=0.3757, pruned_loss=0.1302, over 2789716.22 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06578, over 44454.08 utterances.], batch size: 109, lr: 5.05e-04
+2022-09-17 18:11:24,280 INFO [train.py:885] (0/2) Epoch 9, batch 4900, loss[loss=0.276, simple_loss=0.3402, pruned_loss=0.1059, over 14250.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04522, over 141.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3777, pruned_loss=0.1311, over 2787270.14 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06728, over 45697.77 utterances.], batch size: 141, lr: 5.05e-04
+2022-09-17 18:11:54,083 INFO [train.py:885] (0/2) Epoch 9, batch 4950, loss[loss=0.2863, simple_loss=0.3526, pruned_loss=0.11, over 14337.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03752, over 120.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3754, pruned_loss=0.1294, over 2787698.24 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06688, over 44643.70 utterances.], batch size: 120, lr: 5.05e-04
+2022-09-17 18:12:23,905 INFO [train.py:885] (0/2) Epoch 9, batch 5000, loss[loss=0.2268, simple_loss=0.2852, pruned_loss=0.08414, over 14269.00 frames. utt_duration=642.9 frames, utt_pad_proportion=0.04183, over 89.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3828, pruned_loss=0.1332, over 2786087.52 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07018, over 48045.52 utterances.], batch size: 89, lr: 5.05e-04
+2022-09-17 18:12:53,016 INFO [train.py:885] (0/2) Epoch 9, batch 5050, loss[loss=0.3515, simple_loss=0.4044, pruned_loss=0.1493, over 14328.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03759, over 210.00 utterances.], tot_loss[loss=0.3215, simple_loss=0.3796, pruned_loss=0.1317, over 2784836.49 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07158, over 46763.22 utterances.], batch size: 210, lr: 5.04e-04
+2022-09-17 18:13:22,368 INFO [train.py:885] (0/2) Epoch 9, batch 5100, loss[loss=0.2669, simple_loss=0.3372, pruned_loss=0.09835, over 14320.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03732, over 154.00 utterances.], tot_loss[loss=0.3181, simple_loss=0.3758, pruned_loss=0.1302, over 2779741.11 frames. utt_duration=244 frames, utt_pad_proportion=0.072, over 45841.21 utterances.], batch size: 154, lr: 5.04e-04
+2022-09-17 18:13:51,705 INFO [train.py:885] (0/2) Epoch 9, batch 5150, loss[loss=0.2541, simple_loss=0.3212, pruned_loss=0.09344, over 14212.00 frames. utt_duration=523 frames, utt_pad_proportion=0.04214, over 109.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3776, pruned_loss=0.131, over 2779249.23 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07241, over 46946.92 utterances.], batch size: 109, lr: 5.04e-04
+2022-09-17 18:14:21,067 INFO [train.py:885] (0/2) Epoch 9, batch 5200, loss[loss=0.3049, simple_loss=0.3664, pruned_loss=0.1217, over 14277.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03932, over 180.00 utterances.], tot_loss[loss=0.3215, simple_loss=0.3789, pruned_loss=0.132, over 2780799.61 frames. utt_duration=237 frames, utt_pad_proportion=0.07377, over 47235.02 utterances.], batch size: 180, lr: 5.04e-04
+2022-09-17 18:14:50,931 INFO [train.py:885] (0/2) Epoch 9, batch 5250, loss[loss=0.2497, simple_loss=0.3148, pruned_loss=0.09231, over 14047.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05776, over 98.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3765, pruned_loss=0.1306, over 2782185.75 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07206, over 46586.25 utterances.], batch size: 98, lr: 5.04e-04
+2022-09-17 18:15:20,272 INFO [train.py:885] (0/2) Epoch 9, batch 5300, loss[loss=0.3012, simple_loss=0.3694, pruned_loss=0.1165, over 14325.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03752, over 195.00 utterances.], tot_loss[loss=0.3206, simple_loss=0.3785, pruned_loss=0.1313, over 2775911.54 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07479, over 48109.74 utterances.], batch size: 195, lr: 5.04e-04
+2022-09-17 18:15:49,990 INFO [train.py:885] (0/2) Epoch 9, batch 5350, loss[loss=0.3202, simple_loss=0.3868, pruned_loss=0.1268, over 14311.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.03879, over 226.00 utterances.], tot_loss[loss=0.3216, simple_loss=0.3797, pruned_loss=0.1318, over 2782554.22 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07315, over 48441.27 utterances.], batch size: 226, lr: 5.04e-04
+2022-09-17 18:16:19,577 INFO [train.py:885] (0/2) Epoch 9, batch 5400, loss[loss=0.6162, simple_loss=0.6571, pruned_loss=0.2877, over 12528.00 frames. utt_duration=63.44 frames, utt_pad_proportion=0.1426, over 810.00 utterances.], tot_loss[loss=0.3206, simple_loss=0.3788, pruned_loss=0.1312, over 2784413.69 frames. utt_duration=233 frames, utt_pad_proportion=0.07173, over 48109.98 utterances.], batch size: 810, lr: 5.04e-04
+2022-09-17 18:16:48,913 INFO [train.py:885] (0/2) Epoch 9, batch 5450, loss[loss=0.4215, simple_loss=0.4811, pruned_loss=0.1809, over 13728.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07448, over 411.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3805, pruned_loss=0.1325, over 2781490.65 frames. utt_duration=230.3 frames, utt_pad_proportion=0.07422, over 48628.91 utterances.], batch size: 411, lr: 5.03e-04
+2022-09-17 18:17:18,155 INFO [train.py:885] (0/2) Epoch 9, batch 5500, loss[loss=0.3495, simple_loss=0.4365, pruned_loss=0.1313, over 13669.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07872, over 477.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3797, pruned_loss=0.1326, over 2782987.25 frames. utt_duration=235 frames, utt_pad_proportion=0.07154, over 47660.24 utterances.], batch size: 477, lr: 5.03e-04
+2022-09-17 18:17:47,323 INFO [train.py:885] (0/2) Epoch 9, batch 5550, loss[loss=0.2451, simple_loss=0.2962, pruned_loss=0.09696, over 12626.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.152, over 25.00 utterances.], tot_loss[loss=0.3218, simple_loss=0.379, pruned_loss=0.1323, over 2781865.99 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07279, over 47373.58 utterances.], batch size: 25, lr: 5.03e-04
+2022-09-17 18:18:17,177 INFO [train.py:885] (0/2) Epoch 9, batch 5600, loss[loss=0.4846, simple_loss=0.5417, pruned_loss=0.2137, over 13146.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.323, simple_loss=0.3806, pruned_loss=0.1327, over 2778718.68 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07401, over 48169.71 utterances.], batch size: 653, lr: 5.03e-04
+2022-09-17 18:18:47,054 INFO [train.py:885] (0/2) Epoch 9, batch 5650, loss[loss=0.3044, simple_loss=0.3616, pruned_loss=0.1236, over 14314.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03709, over 130.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3771, pruned_loss=0.1312, over 2779311.55 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07237, over 46749.95 utterances.], batch size: 130, lr: 5.03e-04
+2022-09-17 18:19:16,856 INFO [train.py:885] (0/2) Epoch 9, batch 5700, loss[loss=0.492, simple_loss=0.5422, pruned_loss=0.2209, over 13155.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3751, pruned_loss=0.1298, over 2783398.24 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07044, over 46137.15 utterances.], batch size: 653, lr: 5.03e-04
+2022-09-17 18:19:46,134 INFO [train.py:885] (0/2) Epoch 9, batch 5750, loss[loss=0.3729, simple_loss=0.4247, pruned_loss=0.1605, over 14230.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.043, over 306.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3733, pruned_loss=0.1284, over 2781478.64 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07251, over 45993.31 utterances.], batch size: 306, lr: 5.03e-04
+2022-09-17 18:20:15,504 INFO [train.py:885] (0/2) Epoch 9, batch 5800, loss[loss=0.5151, simple_loss=0.5467, pruned_loss=0.2418, over 13765.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07183, over 411.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3738, pruned_loss=0.1285, over 2781856.73 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07284, over 46215.00 utterances.], batch size: 411, lr: 5.03e-04
+2022-09-17 18:20:44,634 INFO [train.py:885] (0/2) Epoch 9, batch 5850, loss[loss=0.3224, simple_loss=0.4104, pruned_loss=0.1172, over 13771.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07158, over 411.00 utterances.], tot_loss[loss=0.3114, simple_loss=0.3704, pruned_loss=0.1262, over 2783367.30 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07033, over 44488.41 utterances.], batch size: 411, lr: 5.03e-04
+2022-09-17 18:21:14,147 INFO [train.py:885] (0/2) Epoch 9, batch 5900, loss[loss=0.1951, simple_loss=0.2515, pruned_loss=0.0693, over 13693.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07894, over 50.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3707, pruned_loss=0.1274, over 2785994.29 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06796, over 43967.75 utterances.], batch size: 50, lr: 5.02e-04
+2022-09-17 18:21:43,558 INFO [train.py:885] (0/2) Epoch 9, batch 5950, loss[loss=0.5238, simple_loss=0.515, pruned_loss=0.2663, over 14311.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03907, over 283.00 utterances.], tot_loss[loss=0.3134, simple_loss=0.3713, pruned_loss=0.1277, over 2785924.86 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06799, over 43772.45 utterances.], batch size: 283, lr: 5.02e-04
+2022-09-17 18:22:13,080 INFO [train.py:885] (0/2) Epoch 9, batch 6000, loss[loss=0.2319, simple_loss=0.2988, pruned_loss=0.08251, over 12209.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1597, over 24.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3718, pruned_loss=0.1276, over 2781631.51 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07108, over 44042.35 utterances.], batch size: 24, lr: 5.02e-04
+2022-09-17 18:22:13,081 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 18:22:17,564 INFO [train.py:914] (0/2) Epoch 9, validation: loss=0.2051, simple_loss=0.2806, pruned_loss=0.06473, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 18:22:47,188 INFO [train.py:885] (0/2) Epoch 9, batch 6050, loss[loss=0.3347, simple_loss=0.3891, pruned_loss=0.1401, over 14329.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03946, over 154.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3715, pruned_loss=0.1271, over 2783783.16 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07141, over 44279.69 utterances.], batch size: 154, lr: 5.02e-04
+2022-09-17 18:23:16,928 INFO [train.py:885] (0/2) Epoch 9, batch 6100, loss[loss=0.2716, simple_loss=0.3307, pruned_loss=0.1063, over 14189.00 frames. utt_duration=580.7 frames, utt_pad_proportion=0.04494, over 98.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3744, pruned_loss=0.1291, over 2784984.59 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07065, over 44715.72 utterances.], batch size: 98, lr: 5.02e-04
+2022-09-17 18:23:47,026 INFO [train.py:885] (0/2) Epoch 9, batch 6150, loss[loss=0.5222, simple_loss=0.5726, pruned_loss=0.2359, over 13146.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.3231, simple_loss=0.3811, pruned_loss=0.1325, over 2778644.75 frames. utt_duration=234 frames, utt_pad_proportion=0.0744, over 47795.93 utterances.], batch size: 653, lr: 5.02e-04
+2022-09-17 18:24:16,359 INFO [train.py:885] (0/2) Epoch 9, batch 6200, loss[loss=0.3384, simple_loss=0.4068, pruned_loss=0.135, over 14025.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05451, over 365.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3759, pruned_loss=0.1289, over 2777075.21 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07379, over 46629.33 utterances.], batch size: 365, lr: 5.02e-04
+2022-09-17 18:24:46,106 INFO [train.py:885] (0/2) Epoch 9, batch 6250, loss[loss=0.3474, simple_loss=0.4058, pruned_loss=0.1445, over 14302.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.0397, over 283.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3772, pruned_loss=0.1301, over 2775214.66 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07459, over 46907.46 utterances.], batch size: 283, lr: 5.02e-04
+2022-09-17 18:25:15,379 INFO [train.py:885] (0/2) Epoch 9, batch 6300, loss[loss=0.3545, simple_loss=0.3938, pruned_loss=0.1576, over 14288.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03891, over 130.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3765, pruned_loss=0.1291, over 2776958.28 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07399, over 46822.33 utterances.], batch size: 130, lr: 5.01e-04
+2022-09-17 18:25:45,312 INFO [train.py:885] (0/2) Epoch 9, batch 6350, loss[loss=0.2787, simple_loss=0.3306, pruned_loss=0.1134, over 14330.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03767, over 120.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.3783, pruned_loss=0.1316, over 2775114.56 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07483, over 46655.24 utterances.], batch size: 120, lr: 5.01e-04
+2022-09-17 18:26:14,382 INFO [train.py:885] (0/2) Epoch 9, batch 6400, loss[loss=0.6606, simple_loss=0.6866, pruned_loss=0.3173, over 12457.00 frames. utt_duration=63.1 frames, utt_pad_proportion=0.1473, over 810.00 utterances.], tot_loss[loss=0.3217, simple_loss=0.379, pruned_loss=0.1322, over 2777963.54 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07484, over 46913.94 utterances.], batch size: 810, lr: 5.01e-04
+2022-09-17 18:26:44,050 INFO [train.py:885] (0/2) Epoch 9, batch 6450, loss[loss=0.5074, simple_loss=0.5021, pruned_loss=0.2563, over 14240.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04298, over 335.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3771, pruned_loss=0.1313, over 2779038.53 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07281, over 46085.06 utterances.], batch size: 335, lr: 5.01e-04
+2022-09-17 18:27:13,938 INFO [train.py:885] (0/2) Epoch 9, batch 6500, loss[loss=0.3405, simple_loss=0.4119, pruned_loss=0.1346, over 14013.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05484, over 365.00 utterances.], tot_loss[loss=0.3215, simple_loss=0.3792, pruned_loss=0.1319, over 2775322.39 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07368, over 47576.23 utterances.], batch size: 365, lr: 5.01e-04
+2022-09-17 18:27:42,895 INFO [train.py:885] (0/2) Epoch 9, batch 6550, loss[loss=0.2302, simple_loss=0.2699, pruned_loss=0.09528, over 12571.00 frames. utt_duration=2097 frames, utt_pad_proportion=0.1576, over 24.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3709, pruned_loss=0.128, over 2773886.70 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07208, over 44262.55 utterances.], batch size: 24, lr: 5.01e-04
+2022-09-17 18:28:12,745 INFO [train.py:885] (0/2) Epoch 9, batch 6600, loss[loss=0.2142, simple_loss=0.2916, pruned_loss=0.06838, over 14022.00 frames. utt_duration=711.3 frames, utt_pad_proportion=0.05911, over 79.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3705, pruned_loss=0.1273, over 2775328.95 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07212, over 44285.77 utterances.], batch size: 79, lr: 5.01e-04
+2022-09-17 18:28:42,927 INFO [train.py:885] (0/2) Epoch 9, batch 6650, loss[loss=0.3661, simple_loss=0.4527, pruned_loss=0.1397, over 13638.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07707, over 560.00 utterances.], tot_loss[loss=0.317, simple_loss=0.3754, pruned_loss=0.1292, over 2777616.88 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07293, over 46790.70 utterances.], batch size: 560, lr: 5.01e-04
+2022-09-17 18:29:12,140 INFO [train.py:885] (0/2) Epoch 9, batch 6700, loss[loss=0.3032, simple_loss=0.3655, pruned_loss=0.1205, over 14302.00 frames. utt_duration=373 frames, utt_pad_proportion=0.03869, over 154.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3709, pruned_loss=0.1264, over 2780256.74 frames. utt_duration=252 frames, utt_pad_proportion=0.07059, over 44398.68 utterances.], batch size: 154, lr: 5.01e-04
+2022-09-17 18:29:41,657 INFO [train.py:885] (0/2) Epoch 9, batch 6750, loss[loss=0.3099, simple_loss=0.397, pruned_loss=0.1114, over 13849.00 frames. utt_duration=136.3 frames, utt_pad_proportion=0.06616, over 411.00 utterances.], tot_loss[loss=0.3107, simple_loss=0.3698, pruned_loss=0.1258, over 2780718.44 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06962, over 43929.22 utterances.], batch size: 411, lr: 5.00e-04
+2022-09-17 18:30:11,217 INFO [train.py:885] (0/2) Epoch 9, batch 6800, loss[loss=0.1856, simple_loss=0.2425, pruned_loss=0.06433, over 13402.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08453, over 41.00 utterances.], tot_loss[loss=0.3137, simple_loss=0.3722, pruned_loss=0.1276, over 2780869.07 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07095, over 44302.82 utterances.], batch size: 41, lr: 5.00e-04
+2022-09-17 18:30:40,713 INFO [train.py:885] (0/2) Epoch 9, batch 6850, loss[loss=0.2422, simple_loss=0.3112, pruned_loss=0.08656, over 14205.00 frames. utt_duration=640.1 frames, utt_pad_proportion=0.04607, over 89.00 utterances.], tot_loss[loss=0.31, simple_loss=0.3692, pruned_loss=0.1254, over 2779161.38 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07161, over 43935.71 utterances.], batch size: 89, lr: 5.00e-04
+2022-09-17 18:31:10,521 INFO [train.py:885] (0/2) Epoch 9, batch 6900, loss[loss=0.4391, simple_loss=0.46, pruned_loss=0.2091, over 14274.00 frames. utt_duration=188.1 frames, utt_pad_proportion=0.0401, over 306.00 utterances.], tot_loss[loss=0.3114, simple_loss=0.3703, pruned_loss=0.1262, over 2784368.90 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06914, over 44027.64 utterances.], batch size: 306, lr: 5.00e-04
+2022-09-17 18:31:39,802 INFO [train.py:885] (0/2) Epoch 9, batch 6950, loss[loss=0.2332, simple_loss=0.2898, pruned_loss=0.08829, over 12869.00 frames. utt_duration=2060 frames, utt_pad_proportion=0.1325, over 25.00 utterances.], tot_loss[loss=0.31, simple_loss=0.3692, pruned_loss=0.1254, over 2783926.12 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06952, over 43946.92 utterances.], batch size: 25, lr: 5.00e-04
+2022-09-17 18:32:09,073 INFO [train.py:885] (0/2) Epoch 9, batch 7000, loss[loss=0.2566, simple_loss=0.3214, pruned_loss=0.09596, over 14108.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05363, over 98.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3713, pruned_loss=0.127, over 2782951.39 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07, over 44630.18 utterances.], batch size: 98, lr: 5.00e-04
+2022-09-17 18:32:32,201 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-108000.pt
+2022-09-17 18:32:39,252 INFO [train.py:885] (0/2) Epoch 9, batch 7050, loss[loss=0.3499, simple_loss=0.4387, pruned_loss=0.1305, over 13645.00 frames. utt_duration=98.86 frames, utt_pad_proportion=0.07605, over 560.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3687, pruned_loss=0.1258, over 2784860.70 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06686, over 43353.37 utterances.], batch size: 560, lr: 5.00e-04
+2022-09-17 18:33:08,374 INFO [train.py:885] (0/2) Epoch 9, batch 7100, loss[loss=0.5751, simple_loss=0.6252, pruned_loss=0.2625, over 12514.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1442, over 810.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3693, pruned_loss=0.1266, over 2783086.95 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06826, over 43439.46 utterances.], batch size: 810, lr: 5.00e-04
+2022-09-17 18:33:37,591 INFO [train.py:885] (0/2) Epoch 9, batch 7150, loss[loss=0.148, simple_loss=0.1987, pruned_loss=0.04872, over 12855.00 frames. utt_duration=1560 frames, utt_pad_proportion=0.1317, over 33.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3702, pruned_loss=0.1274, over 2782281.90 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06868, over 43927.51 utterances.], batch size: 33, lr: 4.99e-04
+2022-09-17 18:34:07,656 INFO [train.py:885] (0/2) Epoch 9, batch 7200, loss[loss=0.2494, simple_loss=0.3011, pruned_loss=0.09889, over 14049.00 frames. utt_duration=575 frames, utt_pad_proportion=0.05588, over 98.00 utterances.], tot_loss[loss=0.3107, simple_loss=0.3683, pruned_loss=0.1266, over 2781681.51 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06868, over 43084.01 utterances.], batch size: 98, lr: 4.99e-04
+2022-09-17 18:34:37,156 INFO [train.py:885] (0/2) Epoch 9, batch 7250, loss[loss=0.3669, simple_loss=0.4184, pruned_loss=0.1577, over 14180.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04585, over 306.00 utterances.], tot_loss[loss=0.3103, simple_loss=0.368, pruned_loss=0.1263, over 2780176.81 frames. utt_duration=259.2 frames, utt_pad_proportion=0.06903, over 43150.21 utterances.], batch size: 306, lr: 4.99e-04
+2022-09-17 18:35:07,070 INFO [train.py:885] (0/2) Epoch 9, batch 7300, loss[loss=0.6132, simple_loss=0.6666, pruned_loss=0.2799, over 12421.00 frames. utt_duration=62.88 frames, utt_pad_proportion=0.1503, over 810.00 utterances.], tot_loss[loss=0.312, simple_loss=0.3704, pruned_loss=0.1267, over 2777169.04 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07194, over 44711.52 utterances.], batch size: 810, lr: 4.99e-04
+2022-09-17 18:35:36,244 INFO [train.py:885] (0/2) Epoch 9, batch 7350, loss[loss=0.3671, simple_loss=0.4237, pruned_loss=0.1553, over 14318.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03753, over 180.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.374, pruned_loss=0.1294, over 2780475.40 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07225, over 45712.85 utterances.], batch size: 180, lr: 4.99e-04
+2022-09-17 18:36:05,625 INFO [train.py:885] (0/2) Epoch 9, batch 7400, loss[loss=0.1829, simple_loss=0.242, pruned_loss=0.06191, over 13700.00 frames. utt_duration=914.9 frames, utt_pad_proportion=0.07213, over 60.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.37, pruned_loss=0.1269, over 2780448.05 frames. utt_duration=254 frames, utt_pad_proportion=0.0717, over 44037.02 utterances.], batch size: 60, lr: 4.99e-04
+2022-09-17 18:36:35,627 INFO [train.py:885] (0/2) Epoch 9, batch 7450, loss[loss=0.3631, simple_loss=0.4093, pruned_loss=0.1585, over 14245.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.0421, over 306.00 utterances.], tot_loss[loss=0.316, simple_loss=0.3736, pruned_loss=0.1292, over 2779195.15 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07131, over 45217.67 utterances.], batch size: 306, lr: 4.99e-04
+2022-09-17 18:37:05,163 INFO [train.py:885] (0/2) Epoch 9, batch 7500, loss[loss=0.4573, simple_loss=0.5276, pruned_loss=0.1935, over 13147.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1081, over 653.00 utterances.], tot_loss[loss=0.3192, simple_loss=0.3758, pruned_loss=0.1313, over 2778231.64 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07224, over 45557.96 utterances.], batch size: 653, lr: 4.99e-04
+2022-09-17 18:37:34,338 INFO [train.py:885] (0/2) Epoch 9, batch 7550, loss[loss=0.3548, simple_loss=0.4085, pruned_loss=0.1505, over 14359.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03642, over 283.00 utterances.], tot_loss[loss=0.3185, simple_loss=0.3761, pruned_loss=0.1305, over 2778730.97 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07097, over 46219.61 utterances.], batch size: 283, lr: 4.99e-04
+2022-09-17 18:38:03,750 INFO [train.py:885] (0/2) Epoch 9, batch 7600, loss[loss=0.2917, simple_loss=0.3572, pruned_loss=0.1131, over 14329.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03663, over 180.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3761, pruned_loss=0.1302, over 2777566.13 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07125, over 46140.45 utterances.], batch size: 180, lr: 4.98e-04
+2022-09-17 18:38:32,883 INFO [train.py:885] (0/2) Epoch 9, batch 7650, loss[loss=0.2496, simple_loss=0.3231, pruned_loss=0.08802, over 14220.00 frames. utt_duration=523.4 frames, utt_pad_proportion=0.04144, over 109.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.3751, pruned_loss=0.13, over 2779449.51 frames. utt_duration=246.2 frames, utt_pad_proportion=0.0701, over 45425.48 utterances.], batch size: 109, lr: 4.98e-04
+2022-09-17 18:39:03,047 INFO [train.py:885] (0/2) Epoch 9, batch 7700, loss[loss=0.2089, simple_loss=0.2604, pruned_loss=0.0787, over 13924.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.05863, over 69.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3718, pruned_loss=0.1286, over 2774446.37 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07013, over 44437.30 utterances.], batch size: 69, lr: 4.98e-04
+2022-09-17 18:39:33,007 INFO [train.py:885] (0/2) Epoch 9, batch 7750, loss[loss=0.223, simple_loss=0.2805, pruned_loss=0.0827, over 13916.00 frames. utt_duration=929.4 frames, utt_pad_proportion=0.06598, over 60.00 utterances.], tot_loss[loss=0.318, simple_loss=0.3757, pruned_loss=0.1302, over 2778957.25 frames. utt_duration=241 frames, utt_pad_proportion=0.07028, over 46398.09 utterances.], batch size: 60, lr: 4.98e-04
+2022-09-17 18:40:02,463 INFO [train.py:885] (0/2) Epoch 9, batch 7800, loss[loss=0.2729, simple_loss=0.3239, pruned_loss=0.111, over 14117.00 frames. utt_duration=519.8 frames, utt_pad_proportion=0.04797, over 109.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3742, pruned_loss=0.1293, over 2782253.14 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07093, over 45689.56 utterances.], batch size: 109, lr: 4.98e-04
+2022-09-17 18:40:32,065 INFO [train.py:885] (0/2) Epoch 9, batch 7850, loss[loss=0.2587, simple_loss=0.3116, pruned_loss=0.1029, over 14074.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05444, over 98.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3742, pruned_loss=0.1302, over 2788966.13 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06873, over 44435.83 utterances.], batch size: 98, lr: 4.98e-04
+2022-09-17 18:41:01,558 INFO [train.py:885] (0/2) Epoch 9, batch 7900, loss[loss=0.3196, simple_loss=0.3602, pruned_loss=0.1395, over 14316.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03761, over 130.00 utterances.], tot_loss[loss=0.3179, simple_loss=0.375, pruned_loss=0.1304, over 2786010.98 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07022, over 45515.41 utterances.], batch size: 130, lr: 4.98e-04
+2022-09-17 18:41:30,535 INFO [train.py:885] (0/2) Epoch 9, batch 7950, loss[loss=0.3567, simple_loss=0.4102, pruned_loss=0.1516, over 14376.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.0345, over 210.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3731, pruned_loss=0.1293, over 2789497.32 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06872, over 44789.87 utterances.], batch size: 210, lr: 4.98e-04
+2022-09-17 18:41:59,620 INFO [train.py:885] (0/2) Epoch 9, batch 8000, loss[loss=0.4457, simple_loss=0.51, pruned_loss=0.1907, over 13602.00 frames. utt_duration=98.55 frames, utt_pad_proportion=0.07901, over 560.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3737, pruned_loss=0.1286, over 2789611.20 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06917, over 45518.89 utterances.], batch size: 560, lr: 4.98e-04
+2022-09-17 18:42:29,564 INFO [train.py:885] (0/2) Epoch 9, batch 8050, loss[loss=0.3393, simple_loss=0.4155, pruned_loss=0.1316, over 13746.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07338, over 411.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3765, pruned_loss=0.13, over 2784830.98 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07157, over 46473.85 utterances.], batch size: 411, lr: 4.97e-04
+2022-09-17 18:42:58,741 INFO [train.py:885] (0/2) Epoch 9, batch 8100, loss[loss=0.1733, simple_loss=0.2247, pruned_loss=0.06095, over 13589.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08199, over 50.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3748, pruned_loss=0.1294, over 2777733.66 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07477, over 46372.86 utterances.], batch size: 50, lr: 4.97e-04
+2022-09-17 18:43:28,072 INFO [train.py:885] (0/2) Epoch 9, batch 8150, loss[loss=0.3078, simple_loss=0.3512, pruned_loss=0.1322, over 14333.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03612, over 130.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3742, pruned_loss=0.1295, over 2773114.46 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07505, over 46540.73 utterances.], batch size: 130, lr: 4.97e-04
+2022-09-17 18:43:57,593 INFO [train.py:885] (0/2) Epoch 9, batch 8200, loss[loss=0.2964, simple_loss=0.3617, pruned_loss=0.1155, over 14280.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03976, over 180.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3739, pruned_loss=0.1287, over 2777802.28 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0736, over 46641.46 utterances.], batch size: 180, lr: 4.97e-04
+2022-09-17 18:44:27,605 INFO [train.py:885] (0/2) Epoch 9, batch 8250, loss[loss=0.2232, simple_loss=0.2917, pruned_loss=0.07739, over 13871.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.062, over 69.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.3737, pruned_loss=0.129, over 2781991.23 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07072, over 45984.93 utterances.], batch size: 69, lr: 4.97e-04
+2022-09-17 18:44:56,791 INFO [train.py:885] (0/2) Epoch 9, batch 8300, loss[loss=0.3337, simple_loss=0.3747, pruned_loss=0.1463, over 14246.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04599, over 141.00 utterances.], tot_loss[loss=0.3137, simple_loss=0.3715, pruned_loss=0.128, over 2781849.14 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06997, over 44809.63 utterances.], batch size: 141, lr: 4.97e-04
+2022-09-17 18:45:26,484 INFO [train.py:885] (0/2) Epoch 9, batch 8350, loss[loss=0.5674, simple_loss=0.6345, pruned_loss=0.2502, over 12500.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1451, over 810.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3734, pruned_loss=0.1291, over 2781640.37 frames. utt_duration=246.8 frames, utt_pad_proportion=0.0708, over 45352.98 utterances.], batch size: 810, lr: 4.97e-04
+2022-09-17 18:45:55,663 INFO [train.py:885] (0/2) Epoch 9, batch 8400, loss[loss=0.2311, simple_loss=0.3035, pruned_loss=0.07932, over 14122.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.051, over 98.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3705, pruned_loss=0.1276, over 2783322.26 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06935, over 44099.66 utterances.], batch size: 98, lr: 4.97e-04
+2022-09-17 18:46:25,586 INFO [train.py:885] (0/2) Epoch 9, batch 8450, loss[loss=0.2782, simple_loss=0.3507, pruned_loss=0.1029, over 14224.00 frames. utt_duration=371.2 frames, utt_pad_proportion=0.04581, over 154.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3739, pruned_loss=0.1286, over 2781204.52 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07105, over 46169.21 utterances.], batch size: 154, lr: 4.97e-04
+2022-09-17 18:46:54,735 INFO [train.py:885] (0/2) Epoch 9, batch 8500, loss[loss=0.4713, simple_loss=0.5178, pruned_loss=0.2124, over 13618.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08209, over 477.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3734, pruned_loss=0.1284, over 2785806.01 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06896, over 45702.98 utterances.], batch size: 477, lr: 4.96e-04
+2022-09-17 18:47:23,754 INFO [train.py:885] (0/2) Epoch 9, batch 8550, loss[loss=0.3777, simple_loss=0.4544, pruned_loss=0.1505, over 13604.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07835, over 560.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3718, pruned_loss=0.1266, over 2783187.25 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06946, over 46056.59 utterances.], batch size: 560, lr: 4.96e-04
+2022-09-17 18:47:53,652 INFO [train.py:885] (0/2) Epoch 9, batch 8600, loss[loss=0.2268, simple_loss=0.2817, pruned_loss=0.08598, over 12186.00 frames. utt_duration=2033 frames, utt_pad_proportion=0.1608, over 24.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3705, pruned_loss=0.1254, over 2779539.89 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07037, over 45538.71 utterances.], batch size: 24, lr: 4.96e-04
+2022-09-17 18:48:23,375 INFO [train.py:885] (0/2) Epoch 9, batch 8650, loss[loss=0.3265, simple_loss=0.4073, pruned_loss=0.1229, over 14017.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05484, over 365.00 utterances.], tot_loss[loss=0.3121, simple_loss=0.3712, pruned_loss=0.1265, over 2780095.77 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07108, over 45546.18 utterances.], batch size: 365, lr: 4.96e-04
+2022-09-17 18:48:52,610 INFO [train.py:885] (0/2) Epoch 9, batch 8700, loss[loss=0.3382, simple_loss=0.4271, pruned_loss=0.1247, over 13698.00 frames. utt_duration=116.4 frames, utt_pad_proportion=0.07634, over 477.00 utterances.], tot_loss[loss=0.3118, simple_loss=0.3703, pruned_loss=0.1266, over 2778134.94 frames. utt_duration=249 frames, utt_pad_proportion=0.07068, over 44888.56 utterances.], batch size: 477, lr: 4.96e-04
+2022-09-17 18:49:21,963 INFO [train.py:885] (0/2) Epoch 9, batch 8750, loss[loss=0.2417, simple_loss=0.3106, pruned_loss=0.08635, over 14128.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.04944, over 98.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3717, pruned_loss=0.1266, over 2779198.26 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07102, over 45485.04 utterances.], batch size: 98, lr: 4.96e-04
+2022-09-17 18:49:51,327 INFO [train.py:885] (0/2) Epoch 9, batch 8800, loss[loss=0.2139, simple_loss=0.2813, pruned_loss=0.07326, over 13976.00 frames. utt_duration=709 frames, utt_pad_proportion=0.05845, over 79.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3725, pruned_loss=0.1266, over 2784511.84 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06905, over 45687.16 utterances.], batch size: 79, lr: 4.96e-04
+2022-09-17 18:50:20,900 INFO [train.py:885] (0/2) Epoch 9, batch 8850, loss[loss=0.2532, simple_loss=0.3037, pruned_loss=0.1013, over 14002.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.06028, over 79.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3754, pruned_loss=0.1288, over 2782440.78 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07107, over 46099.98 utterances.], batch size: 79, lr: 4.96e-04
+2022-09-17 18:50:50,557 INFO [train.py:885] (0/2) Epoch 9, batch 8900, loss[loss=0.3459, simple_loss=0.3946, pruned_loss=0.1486, over 14301.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.0409, over 154.00 utterances.], tot_loss[loss=0.3214, simple_loss=0.3801, pruned_loss=0.1313, over 2779618.13 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07299, over 47857.55 utterances.], batch size: 154, lr: 4.95e-04
+2022-09-17 18:51:19,960 INFO [train.py:885] (0/2) Epoch 9, batch 8950, loss[loss=0.3444, simple_loss=0.4023, pruned_loss=0.1433, over 14363.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03289, over 244.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3795, pruned_loss=0.1311, over 2775441.76 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07475, over 47990.03 utterances.], batch size: 244, lr: 4.95e-04
+2022-09-17 18:51:49,556 INFO [train.py:885] (0/2) Epoch 9, batch 9000, loss[loss=0.2506, simple_loss=0.3173, pruned_loss=0.09194, over 14188.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04737, over 89.00 utterances.], tot_loss[loss=0.317, simple_loss=0.376, pruned_loss=0.129, over 2778504.62 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07433, over 46304.94 utterances.], batch size: 89, lr: 4.95e-04
+2022-09-17 18:51:49,558 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 18:51:53,675 INFO [train.py:914] (0/2) Epoch 9, validation: loss=0.212, simple_loss=0.289, pruned_loss=0.06748, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 18:52:23,273 INFO [train.py:885] (0/2) Epoch 9, batch 9050, loss[loss=0.1804, simple_loss=0.2223, pruned_loss=0.06922, over 13012.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1113, over 33.00 utterances.], tot_loss[loss=0.3188, simple_loss=0.3774, pruned_loss=0.1302, over 2779895.16 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07245, over 47105.95 utterances.], batch size: 33, lr: 4.95e-04
+2022-09-17 18:52:52,653 INFO [train.py:885] (0/2) Epoch 9, batch 9100, loss[loss=0.2705, simple_loss=0.3242, pruned_loss=0.1084, over 14355.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.03631, over 120.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.3811, pruned_loss=0.1329, over 2777142.01 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07446, over 48373.63 utterances.], batch size: 120, lr: 4.95e-04
+2022-09-17 18:53:22,575 INFO [train.py:885] (0/2) Epoch 9, batch 9150, loss[loss=0.3747, simple_loss=0.4324, pruned_loss=0.1585, over 13991.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.0572, over 365.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3801, pruned_loss=0.1327, over 2777587.45 frames. utt_duration=233 frames, utt_pad_proportion=0.07383, over 47998.21 utterances.], batch size: 365, lr: 4.95e-04
+2022-09-17 18:53:51,551 INFO [train.py:885] (0/2) Epoch 9, batch 9200, loss[loss=0.6804, simple_loss=0.6862, pruned_loss=0.3373, over 12486.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1466, over 811.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.3841, pruned_loss=0.1351, over 2778715.09 frames. utt_duration=227.3 frames, utt_pad_proportion=0.07442, over 49227.28 utterances.], batch size: 811, lr: 4.95e-04
+2022-09-17 18:54:21,578 INFO [train.py:885] (0/2) Epoch 9, batch 9250, loss[loss=0.3324, simple_loss=0.3901, pruned_loss=0.1373, over 14315.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03814, over 195.00 utterances.], tot_loss[loss=0.3293, simple_loss=0.3859, pruned_loss=0.1364, over 2773310.30 frames. utt_duration=224.2 frames, utt_pad_proportion=0.077, over 49801.39 utterances.], batch size: 195, lr: 4.95e-04
+2022-09-17 18:54:51,566 INFO [train.py:885] (0/2) Epoch 9, batch 9300, loss[loss=0.1876, simple_loss=0.2513, pruned_loss=0.062, over 13106.00 frames. utt_duration=1590 frames, utt_pad_proportion=0.1126, over 33.00 utterances.], tot_loss[loss=0.3259, simple_loss=0.3836, pruned_loss=0.1341, over 2777213.81 frames. utt_duration=227.8 frames, utt_pad_proportion=0.07584, over 49080.03 utterances.], batch size: 33, lr: 4.95e-04
+2022-09-17 18:55:21,466 INFO [train.py:885] (0/2) Epoch 9, batch 9350, loss[loss=0.2338, simple_loss=0.2947, pruned_loss=0.08643, over 14013.00 frames. utt_duration=802.3 frames, utt_pad_proportion=0.0594, over 70.00 utterances.], tot_loss[loss=0.3216, simple_loss=0.3795, pruned_loss=0.1318, over 2781608.67 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07335, over 47269.08 utterances.], batch size: 70, lr: 4.94e-04
+2022-09-17 18:55:50,578 INFO [train.py:885] (0/2) Epoch 9, batch 9400, loss[loss=0.3703, simple_loss=0.4134, pruned_loss=0.1636, over 14338.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03488, over 244.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3758, pruned_loss=0.1294, over 2785437.13 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07168, over 46431.07 utterances.], batch size: 244, lr: 4.94e-04
+2022-09-17 18:56:20,329 INFO [train.py:885] (0/2) Epoch 9, batch 9450, loss[loss=0.2848, simple_loss=0.3694, pruned_loss=0.1001, over 14283.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04021, over 180.00 utterances.], tot_loss[loss=0.318, simple_loss=0.3767, pruned_loss=0.1296, over 2784971.19 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07086, over 46632.93 utterances.], batch size: 180, lr: 4.94e-04
+2022-09-17 18:56:49,754 INFO [train.py:885] (0/2) Epoch 9, batch 9500, loss[loss=0.3434, simple_loss=0.3981, pruned_loss=0.1443, over 14384.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.03378, over 210.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3749, pruned_loss=0.1282, over 2786083.35 frames. utt_duration=241 frames, utt_pad_proportion=0.07086, over 46527.01 utterances.], batch size: 210, lr: 4.94e-04
+2022-09-17 18:57:19,738 INFO [train.py:885] (0/2) Epoch 9, batch 9550, loss[loss=0.287, simple_loss=0.3519, pruned_loss=0.111, over 14299.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04133, over 154.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3759, pruned_loss=0.1291, over 2781291.04 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07273, over 46997.68 utterances.], batch size: 154, lr: 4.94e-04
+2022-09-17 18:57:49,040 INFO [train.py:885] (0/2) Epoch 9, batch 9600, loss[loss=0.2544, simple_loss=0.3084, pruned_loss=0.1002, over 14055.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05553, over 98.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3746, pruned_loss=0.1291, over 2781998.93 frames. utt_duration=244 frames, utt_pad_proportion=0.07132, over 45883.95 utterances.], batch size: 98, lr: 4.94e-04
+2022-09-17 18:58:18,795 INFO [train.py:885] (0/2) Epoch 9, batch 9650, loss[loss=0.3871, simple_loss=0.4629, pruned_loss=0.1557, over 13678.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08025, over 478.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3739, pruned_loss=0.1284, over 2781161.79 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07135, over 45590.70 utterances.], batch size: 478, lr: 4.94e-04
+2022-09-17 18:58:48,976 INFO [train.py:885] (0/2) Epoch 9, batch 9700, loss[loss=0.342, simple_loss=0.4041, pruned_loss=0.1399, over 14321.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03807, over 226.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.3756, pruned_loss=0.1298, over 2781284.37 frames. utt_duration=241.2 frames, utt_pad_proportion=0.0735, over 46414.96 utterances.], batch size: 226, lr: 4.94e-04
+2022-09-17 18:59:17,535 INFO [train.py:885] (0/2) Epoch 9, batch 9750, loss[loss=0.4172, simple_loss=0.4459, pruned_loss=0.1943, over 14373.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.0347, over 210.00 utterances.], tot_loss[loss=0.3153, simple_loss=0.3729, pruned_loss=0.1289, over 2788778.69 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07012, over 44113.13 utterances.], batch size: 210, lr: 4.94e-04
+2022-09-17 18:59:47,756 INFO [train.py:885] (0/2) Epoch 9, batch 9800, loss[loss=0.353, simple_loss=0.4318, pruned_loss=0.1371, over 13808.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07132, over 412.00 utterances.], tot_loss[loss=0.3162, simple_loss=0.3738, pruned_loss=0.1293, over 2788410.07 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06956, over 44094.94 utterances.], batch size: 412, lr: 4.93e-04
+2022-09-17 19:00:17,303 INFO [train.py:885] (0/2) Epoch 9, batch 9850, loss[loss=0.3452, simple_loss=0.3983, pruned_loss=0.1461, over 14364.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.0351, over 195.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3713, pruned_loss=0.1278, over 2788547.79 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06857, over 43268.73 utterances.], batch size: 195, lr: 4.93e-04
+2022-09-17 19:00:47,124 INFO [train.py:885] (0/2) Epoch 9, batch 9900, loss[loss=0.2955, simple_loss=0.342, pruned_loss=0.1245, over 14193.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04391, over 109.00 utterances.], tot_loss[loss=0.3192, simple_loss=0.3768, pruned_loss=0.1308, over 2787505.24 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07087, over 45879.02 utterances.], batch size: 109, lr: 4.93e-04
+2022-09-17 19:01:16,946 INFO [train.py:885] (0/2) Epoch 9, batch 9950, loss[loss=0.2146, simple_loss=0.2806, pruned_loss=0.07432, over 14168.00 frames. utt_duration=638.1 frames, utt_pad_proportion=0.04901, over 89.00 utterances.], tot_loss[loss=0.3188, simple_loss=0.3766, pruned_loss=0.1305, over 2789074.05 frames. utt_duration=246.7 frames, utt_pad_proportion=0.0684, over 45498.46 utterances.], batch size: 89, lr: 4.93e-04
+2022-09-17 19:01:45,845 INFO [train.py:885] (0/2) Epoch 9, batch 10000, loss[loss=0.331, simple_loss=0.3876, pruned_loss=0.1372, over 14313.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.0376, over 180.00 utterances.], tot_loss[loss=0.3152, simple_loss=0.3732, pruned_loss=0.1286, over 2790206.95 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06671, over 43821.61 utterances.], batch size: 180, lr: 4.93e-04
+2022-09-17 19:02:15,851 INFO [train.py:885] (0/2) Epoch 9, batch 10050, loss[loss=0.3595, simple_loss=0.4158, pruned_loss=0.1516, over 14328.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03912, over 262.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3755, pruned_loss=0.1297, over 2787700.16 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06819, over 44883.51 utterances.], batch size: 262, lr: 4.93e-04
+2022-09-17 19:02:44,915 INFO [train.py:885] (0/2) Epoch 9, batch 10100, loss[loss=0.1972, simple_loss=0.236, pruned_loss=0.07922, over 13075.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1227, over 33.00 utterances.], tot_loss[loss=0.3126, simple_loss=0.3709, pruned_loss=0.1272, over 2780515.81 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07049, over 43806.07 utterances.], batch size: 33, lr: 4.93e-04
+2022-09-17 19:03:14,920 INFO [train.py:885] (0/2) Epoch 9, batch 10150, loss[loss=0.2674, simple_loss=0.3377, pruned_loss=0.09861, over 14177.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04439, over 109.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.3744, pruned_loss=0.1287, over 2781520.83 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06989, over 44792.02 utterances.], batch size: 109, lr: 4.93e-04
+2022-09-17 19:03:44,265 INFO [train.py:885] (0/2) Epoch 9, batch 10200, loss[loss=0.1819, simple_loss=0.239, pruned_loss=0.06237, over 13220.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.1099, over 33.00 utterances.], tot_loss[loss=0.3157, simple_loss=0.3736, pruned_loss=0.1289, over 2779223.25 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07219, over 44644.10 utterances.], batch size: 33, lr: 4.93e-04
+2022-09-17 19:04:13,840 INFO [train.py:885] (0/2) Epoch 9, batch 10250, loss[loss=0.3537, simple_loss=0.4362, pruned_loss=0.1356, over 13619.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08141, over 477.00 utterances.], tot_loss[loss=0.313, simple_loss=0.371, pruned_loss=0.1275, over 2780766.28 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07041, over 44177.39 utterances.], batch size: 477, lr: 4.92e-04
+2022-09-17 19:04:43,025 INFO [train.py:885] (0/2) Epoch 9, batch 10300, loss[loss=0.2331, simple_loss=0.2987, pruned_loss=0.08376, over 14080.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.05522, over 79.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3735, pruned_loss=0.1291, over 2783895.29 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06956, over 44748.42 utterances.], batch size: 79, lr: 4.92e-04
+2022-09-17 19:05:13,068 INFO [train.py:885] (0/2) Epoch 9, batch 10350, loss[loss=0.19, simple_loss=0.2662, pruned_loss=0.05686, over 12242.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.1765, over 24.00 utterances.], tot_loss[loss=0.3175, simple_loss=0.3756, pruned_loss=0.1297, over 2780970.82 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06969, over 45514.22 utterances.], batch size: 24, lr: 4.92e-04
+2022-09-17 19:05:42,525 INFO [train.py:885] (0/2) Epoch 9, batch 10400, loss[loss=0.3646, simple_loss=0.4419, pruned_loss=0.1437, over 13631.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08131, over 477.00 utterances.], tot_loss[loss=0.3136, simple_loss=0.372, pruned_loss=0.1276, over 2782997.23 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06854, over 44106.48 utterances.], batch size: 477, lr: 4.92e-04
+2022-09-17 19:06:12,239 INFO [train.py:885] (0/2) Epoch 9, batch 10450, loss[loss=0.3417, simple_loss=0.3917, pruned_loss=0.1458, over 14291.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03919, over 180.00 utterances.], tot_loss[loss=0.3161, simple_loss=0.3745, pruned_loss=0.1288, over 2776212.71 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07171, over 46314.45 utterances.], batch size: 180, lr: 4.92e-04
+2022-09-17 19:06:41,312 INFO [train.py:885] (0/2) Epoch 9, batch 10500, loss[loss=0.4184, simple_loss=0.4881, pruned_loss=0.1744, over 13646.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08048, over 477.00 utterances.], tot_loss[loss=0.3179, simple_loss=0.3756, pruned_loss=0.1301, over 2776942.29 frames. utt_duration=243 frames, utt_pad_proportion=0.07232, over 45997.43 utterances.], batch size: 477, lr: 4.92e-04
+2022-09-17 19:07:10,738 INFO [train.py:885] (0/2) Epoch 9, batch 10550, loss[loss=0.3917, simple_loss=0.4347, pruned_loss=0.1744, over 14387.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03113, over 244.00 utterances.], tot_loss[loss=0.322, simple_loss=0.3788, pruned_loss=0.1326, over 2777877.00 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07368, over 46489.63 utterances.], batch size: 244, lr: 4.92e-04
+2022-09-17 19:07:40,330 INFO [train.py:885] (0/2) Epoch 9, batch 10600, loss[loss=0.2114, simple_loss=0.2746, pruned_loss=0.07412, over 13892.00 frames. utt_duration=806.9 frames, utt_pad_proportion=0.06064, over 69.00 utterances.], tot_loss[loss=0.3216, simple_loss=0.3791, pruned_loss=0.132, over 2784264.42 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07062, over 46543.31 utterances.], batch size: 69, lr: 4.92e-04
+2022-09-17 19:08:09,635 INFO [train.py:885] (0/2) Epoch 9, batch 10650, loss[loss=0.3634, simple_loss=0.4527, pruned_loss=0.137, over 13585.00 frames. utt_duration=98.44 frames, utt_pad_proportion=0.07997, over 560.00 utterances.], tot_loss[loss=0.3258, simple_loss=0.3823, pruned_loss=0.1347, over 2779891.57 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07366, over 47648.01 utterances.], batch size: 560, lr: 4.92e-04
+2022-09-17 19:08:39,314 INFO [train.py:885] (0/2) Epoch 9, batch 10700, loss[loss=0.231, simple_loss=0.2933, pruned_loss=0.08441, over 13938.00 frames. utt_duration=809.7 frames, utt_pad_proportion=0.05741, over 69.00 utterances.], tot_loss[loss=0.3221, simple_loss=0.3794, pruned_loss=0.1324, over 2782035.17 frames. utt_duration=241 frames, utt_pad_proportion=0.07239, over 46464.27 utterances.], batch size: 69, lr: 4.91e-04
+2022-09-17 19:09:08,733 INFO [train.py:885] (0/2) Epoch 9, batch 10750, loss[loss=0.2824, simple_loss=0.3507, pruned_loss=0.1071, over 14342.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03958, over 167.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3771, pruned_loss=0.1301, over 2782508.08 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07156, over 45917.18 utterances.], batch size: 167, lr: 4.91e-04
+2022-09-17 19:09:38,259 INFO [train.py:885] (0/2) Epoch 9, batch 10800, loss[loss=0.2661, simple_loss=0.3183, pruned_loss=0.107, over 14095.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05273, over 98.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3807, pruned_loss=0.1328, over 2779839.87 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07235, over 46840.84 utterances.], batch size: 98, lr: 4.91e-04
+2022-09-17 19:10:07,673 INFO [train.py:885] (0/2) Epoch 9, batch 10850, loss[loss=0.2225, simple_loss=0.2892, pruned_loss=0.07793, over 13799.00 frames. utt_duration=801.5 frames, utt_pad_proportion=0.06691, over 69.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.3781, pruned_loss=0.1316, over 2784645.75 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07029, over 45444.06 utterances.], batch size: 69, lr: 4.91e-04
+2022-09-17 19:10:37,401 INFO [train.py:885] (0/2) Epoch 9, batch 10900, loss[loss=0.4284, simple_loss=0.5075, pruned_loss=0.1747, over 13166.00 frames. utt_duration=82.12 frames, utt_pad_proportion=0.1074, over 653.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3728, pruned_loss=0.129, over 2782366.56 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06917, over 43253.64 utterances.], batch size: 653, lr: 4.91e-04
+2022-09-17 19:11:07,054 INFO [train.py:885] (0/2) Epoch 9, batch 10950, loss[loss=0.404, simple_loss=0.445, pruned_loss=0.1815, over 14329.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03824, over 283.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3714, pruned_loss=0.127, over 2787008.94 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06705, over 43642.09 utterances.], batch size: 283, lr: 4.91e-04
+2022-09-17 19:11:36,327 INFO [train.py:885] (0/2) Epoch 9, batch 11000, loss[loss=0.3787, simple_loss=0.4556, pruned_loss=0.1509, over 13602.00 frames. utt_duration=98.45 frames, utt_pad_proportion=0.07992, over 560.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3731, pruned_loss=0.1277, over 2789324.31 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06773, over 44440.26 utterances.], batch size: 560, lr: 4.91e-04
+2022-09-17 19:12:00,438 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-112000.pt
+2022-09-17 19:12:06,412 INFO [train.py:885] (0/2) Epoch 9, batch 11050, loss[loss=0.212, simple_loss=0.2716, pruned_loss=0.07619, over 12960.00 frames. utt_duration=1572 frames, utt_pad_proportion=0.1275, over 33.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3732, pruned_loss=0.1281, over 2786351.55 frames. utt_duration=252 frames, utt_pad_proportion=0.06735, over 44490.39 utterances.], batch size: 33, lr: 4.91e-04
+2022-09-17 19:12:35,548 INFO [train.py:885] (0/2) Epoch 9, batch 11100, loss[loss=0.3531, simple_loss=0.4023, pruned_loss=0.1519, over 14299.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03843, over 130.00 utterances.], tot_loss[loss=0.3136, simple_loss=0.3722, pruned_loss=0.1275, over 2788786.04 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06597, over 43687.68 utterances.], batch size: 130, lr: 4.91e-04
+2022-09-17 19:13:05,666 INFO [train.py:885] (0/2) Epoch 9, batch 11150, loss[loss=0.3942, simple_loss=0.4498, pruned_loss=0.1692, over 13965.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05834, over 365.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3728, pruned_loss=0.1279, over 2790807.53 frames. utt_duration=255 frames, utt_pad_proportion=0.06555, over 44024.62 utterances.], batch size: 365, lr: 4.91e-04
+2022-09-17 19:13:35,465 INFO [train.py:885] (0/2) Epoch 9, batch 11200, loss[loss=0.2598, simple_loss=0.3161, pruned_loss=0.1017, over 14304.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03979, over 120.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.3762, pruned_loss=0.1295, over 2787950.42 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06826, over 45773.91 utterances.], batch size: 120, lr: 4.90e-04
+2022-09-17 19:14:05,343 INFO [train.py:885] (0/2) Epoch 9, batch 11250, loss[loss=0.4788, simple_loss=0.4829, pruned_loss=0.2374, over 14233.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04251, over 335.00 utterances.], tot_loss[loss=0.3161, simple_loss=0.3746, pruned_loss=0.1288, over 2784436.90 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06937, over 45569.19 utterances.], batch size: 335, lr: 4.90e-04
+2022-09-17 19:14:34,974 INFO [train.py:885] (0/2) Epoch 9, batch 11300, loss[loss=0.2178, simple_loss=0.2707, pruned_loss=0.0824, over 13919.00 frames. utt_duration=1327 frames, utt_pad_proportion=0.06807, over 42.00 utterances.], tot_loss[loss=0.3175, simple_loss=0.3759, pruned_loss=0.1295, over 2784482.23 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06957, over 46234.35 utterances.], batch size: 42, lr: 4.90e-04
+2022-09-17 19:15:04,855 INFO [train.py:885] (0/2) Epoch 9, batch 11350, loss[loss=0.1862, simple_loss=0.2252, pruned_loss=0.07365, over 12973.00 frames. utt_duration=1574 frames, utt_pad_proportion=0.127, over 33.00 utterances.], tot_loss[loss=0.3157, simple_loss=0.3745, pruned_loss=0.1284, over 2779617.93 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07096, over 46312.37 utterances.], batch size: 33, lr: 4.90e-04
+2022-09-17 19:15:33,841 INFO [train.py:885] (0/2) Epoch 9, batch 11400, loss[loss=0.3029, simple_loss=0.3709, pruned_loss=0.1174, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04042, over 225.00 utterances.], tot_loss[loss=0.3181, simple_loss=0.3767, pruned_loss=0.1298, over 2782925.83 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07175, over 46375.31 utterances.], batch size: 225, lr: 4.90e-04
+2022-09-17 19:16:03,433 INFO [train.py:885] (0/2) Epoch 9, batch 11450, loss[loss=0.3013, simple_loss=0.3638, pruned_loss=0.1194, over 14303.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04083, over 154.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3761, pruned_loss=0.1291, over 2788472.66 frames. utt_duration=245 frames, utt_pad_proportion=0.07083, over 45797.97 utterances.], batch size: 154, lr: 4.90e-04
+2022-09-17 19:16:32,452 INFO [train.py:885] (0/2) Epoch 9, batch 11500, loss[loss=0.2971, simple_loss=0.3512, pruned_loss=0.1215, over 14307.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03791, over 130.00 utterances.], tot_loss[loss=0.3163, simple_loss=0.3746, pruned_loss=0.129, over 2785803.50 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07172, over 45584.32 utterances.], batch size: 130, lr: 4.90e-04
+2022-09-17 19:17:02,317 INFO [train.py:885] (0/2) Epoch 9, batch 11550, loss[loss=0.3904, simple_loss=0.4461, pruned_loss=0.1674, over 13980.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05733, over 365.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3715, pruned_loss=0.1288, over 2783301.92 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07078, over 43852.45 utterances.], batch size: 365, lr: 4.90e-04
+2022-09-17 19:17:31,491 INFO [train.py:885] (0/2) Epoch 9, batch 11600, loss[loss=0.4222, simple_loss=0.5, pruned_loss=0.1722, over 13120.00 frames. utt_duration=81.87 frames, utt_pad_proportion=0.1101, over 653.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3733, pruned_loss=0.1291, over 2787766.09 frames. utt_duration=252 frames, utt_pad_proportion=0.06807, over 44504.86 utterances.], batch size: 653, lr: 4.90e-04
+2022-09-17 19:18:01,458 INFO [train.py:885] (0/2) Epoch 9, batch 11650, loss[loss=0.3901, simple_loss=0.4789, pruned_loss=0.1507, over 13135.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1081, over 653.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3751, pruned_loss=0.1295, over 2784541.03 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06969, over 45495.74 utterances.], batch size: 653, lr: 4.89e-04
+2022-09-17 19:18:30,405 INFO [train.py:885] (0/2) Epoch 9, batch 11700, loss[loss=0.2925, simple_loss=0.3342, pruned_loss=0.1254, over 13336.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.1052, over 33.00 utterances.], tot_loss[loss=0.3126, simple_loss=0.3706, pruned_loss=0.1273, over 2782296.44 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06912, over 43772.35 utterances.], batch size: 33, lr: 4.89e-04
+2022-09-17 19:18:59,997 INFO [train.py:885] (0/2) Epoch 9, batch 11750, loss[loss=0.2282, simple_loss=0.2903, pruned_loss=0.08305, over 14209.00 frames. utt_duration=640.1 frames, utt_pad_proportion=0.04612, over 89.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3672, pruned_loss=0.1248, over 2780212.87 frames. utt_duration=260.8 frames, utt_pad_proportion=0.0696, over 42876.16 utterances.], batch size: 89, lr: 4.89e-04
+2022-09-17 19:19:29,126 INFO [train.py:885] (0/2) Epoch 9, batch 11800, loss[loss=0.3472, simple_loss=0.4252, pruned_loss=0.1345, over 13787.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07046, over 411.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3667, pruned_loss=0.124, over 2775767.38 frames. utt_duration=258.1 frames, utt_pad_proportion=0.07081, over 43273.82 utterances.], batch size: 411, lr: 4.89e-04
+2022-09-17 19:19:58,885 INFO [train.py:885] (0/2) Epoch 9, batch 11850, loss[loss=0.2956, simple_loss=0.3435, pruned_loss=0.1238, over 14010.00 frames. utt_duration=573.3 frames, utt_pad_proportion=0.06017, over 98.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3672, pruned_loss=0.1241, over 2776524.61 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07228, over 44120.18 utterances.], batch size: 98, lr: 4.89e-04
+2022-09-17 19:20:28,756 INFO [train.py:885] (0/2) Epoch 9, batch 11900, loss[loss=0.3556, simple_loss=0.4029, pruned_loss=0.1541, over 14328.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0379, over 283.00 utterances.], tot_loss[loss=0.3121, simple_loss=0.3715, pruned_loss=0.1264, over 2780136.64 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07318, over 45203.94 utterances.], batch size: 283, lr: 4.89e-04
+2022-09-17 19:20:58,001 INFO [train.py:885] (0/2) Epoch 9, batch 11950, loss[loss=0.3395, simple_loss=0.3999, pruned_loss=0.1396, over 14358.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03614, over 283.00 utterances.], tot_loss[loss=0.31, simple_loss=0.3692, pruned_loss=0.1254, over 2780620.91 frames. utt_duration=251 frames, utt_pad_proportion=0.0721, over 44578.98 utterances.], batch size: 283, lr: 4.89e-04
+2022-09-17 19:21:27,308 INFO [train.py:885] (0/2) Epoch 9, batch 12000, loss[loss=0.3521, simple_loss=0.4315, pruned_loss=0.1363, over 13662.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07823, over 477.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3681, pruned_loss=0.1254, over 2779989.05 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07049, over 44024.25 utterances.], batch size: 477, lr: 4.89e-04
+2022-09-17 19:21:27,310 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 19:21:31,990 INFO [train.py:914] (0/2) Epoch 9, validation: loss=0.2093, simple_loss=0.2851, pruned_loss=0.06677, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 19:22:00,827 INFO [train.py:885] (0/2) Epoch 9, batch 12050, loss[loss=0.3102, simple_loss=0.4033, pruned_loss=0.1085, over 13713.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07493, over 411.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3688, pruned_loss=0.1258, over 2780766.95 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06998, over 43918.26 utterances.], batch size: 411, lr: 4.89e-04
+2022-09-17 19:22:30,889 INFO [train.py:885] (0/2) Epoch 9, batch 12100, loss[loss=0.4224, simple_loss=0.4986, pruned_loss=0.1731, over 13122.00 frames. utt_duration=81.93 frames, utt_pad_proportion=0.1094, over 653.00 utterances.], tot_loss[loss=0.3144, simple_loss=0.3732, pruned_loss=0.1278, over 2783642.73 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07075, over 46583.48 utterances.], batch size: 653, lr: 4.88e-04
+2022-09-17 19:23:00,956 INFO [train.py:885] (0/2) Epoch 9, batch 12150, loss[loss=0.3948, simple_loss=0.4127, pruned_loss=0.1885, over 14234.00 frames. utt_duration=439.3 frames, utt_pad_proportion=0.04507, over 130.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3787, pruned_loss=0.1314, over 2778732.36 frames. utt_duration=229.9 frames, utt_pad_proportion=0.07271, over 48663.13 utterances.], batch size: 130, lr: 4.88e-04
+2022-09-17 19:23:29,876 INFO [train.py:885] (0/2) Epoch 9, batch 12200, loss[loss=0.4093, simple_loss=0.4373, pruned_loss=0.1906, over 14206.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04457, over 306.00 utterances.], tot_loss[loss=0.3161, simple_loss=0.3745, pruned_loss=0.1288, over 2778207.03 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07323, over 47153.60 utterances.], batch size: 306, lr: 4.88e-04
+2022-09-17 19:23:59,158 INFO [train.py:885] (0/2) Epoch 9, batch 12250, loss[loss=0.4096, simple_loss=0.4673, pruned_loss=0.176, over 13828.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06828, over 411.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3742, pruned_loss=0.1285, over 2776049.28 frames. utt_duration=239.2 frames, utt_pad_proportion=0.0736, over 46703.07 utterances.], batch size: 411, lr: 4.88e-04
+2022-09-17 19:24:29,066 INFO [train.py:885] (0/2) Epoch 9, batch 12300, loss[loss=0.4788, simple_loss=0.5227, pruned_loss=0.2175, over 13625.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.0755, over 478.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3755, pruned_loss=0.1291, over 2773826.90 frames. utt_duration=234 frames, utt_pad_proportion=0.07465, over 47713.13 utterances.], batch size: 478, lr: 4.88e-04
+2022-09-17 19:24:58,478 INFO [train.py:885] (0/2) Epoch 9, batch 12350, loss[loss=0.2954, simple_loss=0.3901, pruned_loss=0.1003, over 13791.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07018, over 411.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3753, pruned_loss=0.1289, over 2780374.01 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07275, over 47152.16 utterances.], batch size: 411, lr: 4.88e-04
+2022-09-17 19:25:27,568 INFO [train.py:885] (0/2) Epoch 9, batch 12400, loss[loss=0.2668, simple_loss=0.3252, pruned_loss=0.1042, over 14277.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03972, over 130.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3733, pruned_loss=0.1283, over 2784105.58 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07103, over 45602.95 utterances.], batch size: 130, lr: 4.88e-04
+2022-09-17 19:25:58,078 INFO [train.py:885] (0/2) Epoch 9, batch 12450, loss[loss=0.3717, simple_loss=0.4234, pruned_loss=0.1601, over 14182.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04563, over 306.00 utterances.], tot_loss[loss=0.3204, simple_loss=0.3785, pruned_loss=0.1312, over 2779102.14 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07438, over 47659.31 utterances.], batch size: 306, lr: 4.88e-04
+2022-09-17 19:26:27,259 INFO [train.py:885] (0/2) Epoch 9, batch 12500, loss[loss=0.3363, simple_loss=0.4122, pruned_loss=0.1303, over 13740.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07384, over 411.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.379, pruned_loss=0.131, over 2780625.89 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07386, over 47736.47 utterances.], batch size: 411, lr: 4.88e-04
+2022-09-17 19:26:56,608 INFO [train.py:885] (0/2) Epoch 9, batch 12550, loss[loss=0.2823, simple_loss=0.3559, pruned_loss=0.1043, over 14332.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03668, over 180.00 utterances.], tot_loss[loss=0.3217, simple_loss=0.3796, pruned_loss=0.1319, over 2780222.42 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07182, over 47256.91 utterances.], batch size: 180, lr: 4.87e-04
+2022-09-17 19:27:24,731 INFO [train.py:885] (0/2) Epoch 9, batch 12600, loss[loss=0.4397, simple_loss=0.4744, pruned_loss=0.2025, over 14236.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04348, over 335.00 utterances.], tot_loss[loss=0.324, simple_loss=0.3817, pruned_loss=0.1332, over 2783157.36 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07105, over 47915.80 utterances.], batch size: 335, lr: 4.87e-04
+2022-09-17 19:27:34,991 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-9.pt
+2022-09-17 19:27:43,430 INFO [train.py:885] (0/2) Epoch 10, batch 0, loss[loss=0.3073, simple_loss=0.37, pruned_loss=0.1223, over 14303.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03894, over 180.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.37, pruned_loss=0.1223, over 14303.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03894, over 180.00 utterances.], batch size: 180, lr: 4.69e-04
+2022-09-17 19:28:14,134 INFO [train.py:885] (0/2) Epoch 10, batch 50, loss[loss=0.3512, simple_loss=0.4387, pruned_loss=0.1318, over 13681.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07808, over 477.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3568, pruned_loss=0.1179, over 628951.61 frames. utt_duration=272.1 frames, utt_pad_proportion=0.05738, over 9293.42 utterances.], batch size: 477, lr: 4.68e-04
+2022-09-17 19:28:43,643 INFO [train.py:885] (0/2) Epoch 10, batch 100, loss[loss=0.3147, simple_loss=0.379, pruned_loss=0.1252, over 14355.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03569, over 210.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.3678, pruned_loss=0.1255, over 1110539.88 frames. utt_duration=265.8 frames, utt_pad_proportion=0.06231, over 16805.15 utterances.], batch size: 210, lr: 4.68e-04
+2022-09-17 19:29:13,443 INFO [train.py:885] (0/2) Epoch 10, batch 150, loss[loss=0.3437, simple_loss=0.4026, pruned_loss=0.1424, over 14331.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03828, over 262.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3708, pruned_loss=0.1263, over 1480293.83 frames. utt_duration=255 frames, utt_pad_proportion=0.06628, over 23355.80 utterances.], batch size: 262, lr: 4.68e-04
+2022-09-17 19:29:42,419 INFO [train.py:885] (0/2) Epoch 10, batch 200, loss[loss=0.1963, simple_loss=0.2482, pruned_loss=0.07216, over 13691.00 frames. utt_duration=914.2 frames, utt_pad_proportion=0.0766, over 60.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3706, pruned_loss=0.1264, over 1768832.81 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06897, over 28595.30 utterances.], batch size: 60, lr: 4.68e-04
+2022-09-17 19:30:12,172 INFO [train.py:885] (0/2) Epoch 10, batch 250, loss[loss=0.3592, simple_loss=0.404, pruned_loss=0.1572, over 14261.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03816, over 225.00 utterances.], tot_loss[loss=0.314, simple_loss=0.3732, pruned_loss=0.1275, over 1994683.85 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06967, over 33163.84 utterances.], batch size: 225, lr: 4.68e-04
+2022-09-17 19:30:41,529 INFO [train.py:885] (0/2) Epoch 10, batch 300, loss[loss=0.4311, simple_loss=0.4877, pruned_loss=0.1872, over 13775.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07099, over 411.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3734, pruned_loss=0.1276, over 2168077.86 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0702, over 35623.49 utterances.], batch size: 411, lr: 4.68e-04
+2022-09-17 19:31:11,252 INFO [train.py:885] (0/2) Epoch 10, batch 350, loss[loss=0.281, simple_loss=0.3506, pruned_loss=0.1057, over 14222.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04759, over 141.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3738, pruned_loss=0.1279, over 2303526.82 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07131, over 38159.05 utterances.], batch size: 141, lr: 4.68e-04
+2022-09-17 19:31:40,462 INFO [train.py:885] (0/2) Epoch 10, batch 400, loss[loss=0.2848, simple_loss=0.3538, pruned_loss=0.1079, over 14299.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03891, over 180.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.3762, pruned_loss=0.1295, over 2411234.78 frames. utt_duration=239.2 frames, utt_pad_proportion=0.0707, over 40567.18 utterances.], batch size: 180, lr: 4.68e-04
+2022-09-17 19:32:10,434 INFO [train.py:885] (0/2) Epoch 10, batch 450, loss[loss=0.2564, simple_loss=0.3248, pruned_loss=0.09403, over 14104.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05256, over 98.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3808, pruned_loss=0.132, over 2489195.15 frames. utt_duration=229.9 frames, utt_pad_proportion=0.07372, over 43590.06 utterances.], batch size: 98, lr: 4.68e-04
+2022-09-17 19:32:39,355 INFO [train.py:885] (0/2) Epoch 10, batch 500, loss[loss=0.1956, simple_loss=0.2432, pruned_loss=0.07399, over 13159.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1113, over 33.00 utterances.], tot_loss[loss=0.3227, simple_loss=0.3811, pruned_loss=0.1321, over 2556511.13 frames. utt_duration=230 frames, utt_pad_proportion=0.0743, over 44747.76 utterances.], batch size: 33, lr: 4.68e-04
+2022-09-17 19:33:09,454 INFO [train.py:885] (0/2) Epoch 10, batch 550, loss[loss=0.2641, simple_loss=0.3357, pruned_loss=0.09625, over 14271.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04022, over 130.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.3799, pruned_loss=0.1314, over 2606756.92 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07305, over 44978.46 utterances.], batch size: 130, lr: 4.67e-04
+2022-09-17 19:33:38,715 INFO [train.py:885] (0/2) Epoch 10, batch 600, loss[loss=0.3691, simple_loss=0.4126, pruned_loss=0.1628, over 14315.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04118, over 167.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.3806, pruned_loss=0.1316, over 2642746.89 frames. utt_duration=230 frames, utt_pad_proportion=0.07229, over 46266.82 utterances.], batch size: 167, lr: 4.67e-04
+2022-09-17 19:34:08,299 INFO [train.py:885] (0/2) Epoch 10, batch 650, loss[loss=0.3197, simple_loss=0.3996, pruned_loss=0.1199, over 14335.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03996, over 167.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.38, pruned_loss=0.1307, over 2677914.84 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07155, over 46476.38 utterances.], batch size: 167, lr: 4.67e-04
+2022-09-17 19:34:36,683 INFO [train.py:885] (0/2) Epoch 10, batch 700, loss[loss=0.231, simple_loss=0.3109, pruned_loss=0.07557, over 14065.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05618, over 79.00 utterances.], tot_loss[loss=0.3181, simple_loss=0.3771, pruned_loss=0.1295, over 2699549.99 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07216, over 46223.03 utterances.], batch size: 79, lr: 4.67e-04
+2022-09-17 19:35:06,387 INFO [train.py:885] (0/2) Epoch 10, batch 750, loss[loss=0.2192, simple_loss=0.277, pruned_loss=0.08071, over 13862.00 frames. utt_duration=925.4 frames, utt_pad_proportion=0.07092, over 60.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3734, pruned_loss=0.1276, over 2720133.35 frames. utt_duration=242 frames, utt_pad_proportion=0.07128, over 45229.22 utterances.], batch size: 60, lr: 4.67e-04
+2022-09-17 19:35:35,648 INFO [train.py:885] (0/2) Epoch 10, batch 800, loss[loss=0.2313, simple_loss=0.2781, pruned_loss=0.09229, over 14030.00 frames. utt_duration=711.7 frames, utt_pad_proportion=0.05736, over 79.00 utterances.], tot_loss[loss=0.3103, simple_loss=0.3696, pruned_loss=0.1255, over 2734706.57 frames. utt_duration=249 frames, utt_pad_proportion=0.06873, over 44196.96 utterances.], batch size: 79, lr: 4.67e-04
+2022-09-17 19:36:05,081 INFO [train.py:885] (0/2) Epoch 10, batch 850, loss[loss=0.3994, simple_loss=0.4852, pruned_loss=0.1568, over 13217.00 frames. utt_duration=82.49 frames, utt_pad_proportion=0.1033, over 653.00 utterances.], tot_loss[loss=0.3091, simple_loss=0.3687, pruned_loss=0.1247, over 2749166.37 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06848, over 43733.31 utterances.], batch size: 653, lr: 4.67e-04
+2022-09-17 19:36:35,210 INFO [train.py:885] (0/2) Epoch 10, batch 900, loss[loss=0.328, simple_loss=0.4269, pruned_loss=0.1145, over 13619.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08181, over 477.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3683, pruned_loss=0.1255, over 2750047.97 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06962, over 43402.92 utterances.], batch size: 477, lr: 4.67e-04
+2022-09-17 19:37:03,666 INFO [train.py:885] (0/2) Epoch 10, batch 950, loss[loss=0.2476, simple_loss=0.2925, pruned_loss=0.1014, over 13994.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.06093, over 79.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.366, pruned_loss=0.1238, over 2760425.30 frames. utt_duration=262.4 frames, utt_pad_proportion=0.06854, over 42318.34 utterances.], batch size: 79, lr: 4.67e-04
+2022-09-17 19:37:33,998 INFO [train.py:885] (0/2) Epoch 10, batch 1000, loss[loss=0.2373, simple_loss=0.3033, pruned_loss=0.08565, over 14130.00 frames. utt_duration=636.4 frames, utt_pad_proportion=0.05009, over 89.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.3679, pruned_loss=0.1244, over 2764675.22 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06728, over 43230.24 utterances.], batch size: 89, lr: 4.67e-04
+2022-09-17 19:38:03,266 INFO [train.py:885] (0/2) Epoch 10, batch 1050, loss[loss=0.285, simple_loss=0.3554, pruned_loss=0.1074, over 14248.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04577, over 141.00 utterances.], tot_loss[loss=0.3089, simple_loss=0.3685, pruned_loss=0.1246, over 2769126.48 frames. utt_duration=254.5 frames, utt_pad_proportion=0.0675, over 43778.96 utterances.], batch size: 141, lr: 4.66e-04
+2022-09-17 19:38:32,715 INFO [train.py:885] (0/2) Epoch 10, batch 1100, loss[loss=0.4251, simple_loss=0.503, pruned_loss=0.1736, over 13164.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.315, simple_loss=0.374, pruned_loss=0.128, over 2775615.92 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06827, over 45444.39 utterances.], batch size: 653, lr: 4.66e-04
+2022-09-17 19:39:02,527 INFO [train.py:885] (0/2) Epoch 10, batch 1150, loss[loss=0.4342, simple_loss=0.4563, pruned_loss=0.206, over 14245.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04236, over 335.00 utterances.], tot_loss[loss=0.3233, simple_loss=0.3817, pruned_loss=0.1325, over 2776756.37 frames. utt_duration=231.6 frames, utt_pad_proportion=0.0715, over 48273.09 utterances.], batch size: 335, lr: 4.66e-04
+2022-09-17 19:39:32,197 INFO [train.py:885] (0/2) Epoch 10, batch 1200, loss[loss=0.2034, simple_loss=0.2753, pruned_loss=0.06571, over 13847.00 frames. utt_duration=804.2 frames, utt_pad_proportion=0.06377, over 69.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3752, pruned_loss=0.1292, over 2774385.77 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07175, over 45796.69 utterances.], batch size: 69, lr: 4.66e-04
+2022-09-17 19:40:01,639 INFO [train.py:885] (0/2) Epoch 10, batch 1250, loss[loss=0.2469, simple_loss=0.3032, pruned_loss=0.0953, over 14098.00 frames. utt_duration=518.8 frames, utt_pad_proportion=0.0498, over 109.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.376, pruned_loss=0.1285, over 2782260.43 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06919, over 46208.83 utterances.], batch size: 109, lr: 4.66e-04
+2022-09-17 19:40:31,214 INFO [train.py:885] (0/2) Epoch 10, batch 1300, loss[loss=0.2717, simple_loss=0.3369, pruned_loss=0.1032, over 14154.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04591, over 109.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3757, pruned_loss=0.1287, over 2782078.56 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06847, over 46033.16 utterances.], batch size: 109, lr: 4.66e-04
+2022-09-17 19:41:00,621 INFO [train.py:885] (0/2) Epoch 10, batch 1350, loss[loss=0.3737, simple_loss=0.4564, pruned_loss=0.1455, over 13674.00 frames. utt_duration=99.01 frames, utt_pad_proportion=0.07472, over 560.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3748, pruned_loss=0.1281, over 2781415.61 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06905, over 45606.36 utterances.], batch size: 560, lr: 4.66e-04
+2022-09-17 19:41:30,562 INFO [train.py:885] (0/2) Epoch 10, batch 1400, loss[loss=0.266, simple_loss=0.3372, pruned_loss=0.09737, over 14281.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04101, over 120.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3718, pruned_loss=0.1268, over 2787547.71 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06545, over 43524.81 utterances.], batch size: 120, lr: 4.66e-04
+2022-09-17 19:41:59,988 INFO [train.py:885] (0/2) Epoch 10, batch 1450, loss[loss=0.3254, simple_loss=0.3767, pruned_loss=0.137, over 14258.00 frames. utt_duration=372 frames, utt_pad_proportion=0.04372, over 154.00 utterances.], tot_loss[loss=0.3107, simple_loss=0.3701, pruned_loss=0.1256, over 2785144.02 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06845, over 43726.68 utterances.], batch size: 154, lr: 4.66e-04
+2022-09-17 19:42:29,489 INFO [train.py:885] (0/2) Epoch 10, batch 1500, loss[loss=0.2588, simple_loss=0.3163, pruned_loss=0.1007, over 14031.00 frames. utt_duration=574.1 frames, utt_pad_proportion=0.05574, over 98.00 utterances.], tot_loss[loss=0.3114, simple_loss=0.37, pruned_loss=0.1263, over 2787860.50 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06637, over 43744.73 utterances.], batch size: 98, lr: 4.66e-04
+2022-09-17 19:43:06,610 INFO [train.py:885] (0/2) Epoch 10, batch 1550, loss[loss=0.3613, simple_loss=0.445, pruned_loss=0.1389, over 13648.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08222, over 478.00 utterances.], tot_loss[loss=0.3129, simple_loss=0.372, pruned_loss=0.1269, over 2785746.60 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06808, over 45004.03 utterances.], batch size: 478, lr: 4.65e-04
+2022-09-17 19:43:35,826 INFO [train.py:885] (0/2) Epoch 10, batch 1600, loss[loss=0.2483, simple_loss=0.3151, pruned_loss=0.09079, over 14180.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04429, over 109.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3735, pruned_loss=0.1279, over 2787194.31 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06798, over 45385.99 utterances.], batch size: 109, lr: 4.65e-04
+2022-09-17 19:44:05,178 INFO [train.py:885] (0/2) Epoch 10, batch 1650, loss[loss=0.3021, simple_loss=0.3669, pruned_loss=0.1186, over 14311.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03948, over 262.00 utterances.], tot_loss[loss=0.3157, simple_loss=0.3735, pruned_loss=0.1289, over 2783520.06 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06806, over 45276.57 utterances.], batch size: 262, lr: 4.65e-04
+2022-09-17 19:44:35,317 INFO [train.py:885] (0/2) Epoch 10, batch 1700, loss[loss=0.3339, simple_loss=0.4168, pruned_loss=0.1255, over 13735.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07396, over 411.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.3753, pruned_loss=0.1296, over 2781698.47 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0689, over 46231.07 utterances.], batch size: 411, lr: 4.65e-04
+2022-09-17 19:45:04,203 INFO [train.py:885] (0/2) Epoch 10, batch 1750, loss[loss=0.4119, simple_loss=0.4967, pruned_loss=0.1636, over 13206.00 frames. utt_duration=82.43 frames, utt_pad_proportion=0.1041, over 653.00 utterances.], tot_loss[loss=0.315, simple_loss=0.3729, pruned_loss=0.1286, over 2785049.70 frames. utt_duration=247 frames, utt_pad_proportion=0.06801, over 45376.12 utterances.], batch size: 653, lr: 4.65e-04
+2022-09-17 19:45:33,339 INFO [train.py:885] (0/2) Epoch 10, batch 1800, loss[loss=0.4869, simple_loss=0.5207, pruned_loss=0.2266, over 13699.00 frames. utt_duration=134.8 frames, utt_pad_proportion=0.07646, over 411.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3736, pruned_loss=0.1283, over 2779715.22 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07009, over 46170.41 utterances.], batch size: 411, lr: 4.65e-04
+2022-09-17 19:46:02,904 INFO [train.py:885] (0/2) Epoch 10, batch 1850, loss[loss=0.2172, simple_loss=0.2764, pruned_loss=0.07903, over 12207.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1642, over 24.00 utterances.], tot_loss[loss=0.3201, simple_loss=0.3785, pruned_loss=0.1308, over 2777585.12 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07321, over 47733.03 utterances.], batch size: 24, lr: 4.65e-04
+2022-09-17 19:46:32,444 INFO [train.py:885] (0/2) Epoch 10, batch 1900, loss[loss=0.2009, simple_loss=0.2799, pruned_loss=0.06093, over 14066.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05619, over 79.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3776, pruned_loss=0.1301, over 2782846.96 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07121, over 47171.94 utterances.], batch size: 79, lr: 4.65e-04
+2022-09-17 19:47:01,878 INFO [train.py:885] (0/2) Epoch 10, batch 1950, loss[loss=0.3487, simple_loss=0.4015, pruned_loss=0.1479, over 14331.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03727, over 195.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3786, pruned_loss=0.1307, over 2781979.80 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07139, over 46934.42 utterances.], batch size: 195, lr: 4.65e-04
+2022-09-17 19:47:31,580 INFO [train.py:885] (0/2) Epoch 10, batch 2000, loss[loss=0.409, simple_loss=0.4709, pruned_loss=0.1735, over 13736.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07388, over 411.00 utterances.], tot_loss[loss=0.3242, simple_loss=0.3828, pruned_loss=0.1328, over 2780360.27 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07342, over 48843.38 utterances.], batch size: 411, lr: 4.65e-04
+2022-09-17 19:48:09,222 INFO [train.py:885] (0/2) Epoch 10, batch 2050, loss[loss=0.2397, simple_loss=0.3105, pruned_loss=0.08441, over 13302.00 frames. utt_duration=2048 frames, utt_pad_proportion=0.09464, over 26.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.3789, pruned_loss=0.1313, over 2781382.35 frames. utt_duration=239 frames, utt_pad_proportion=0.07263, over 46842.31 utterances.], batch size: 26, lr: 4.64e-04
+2022-09-17 19:48:38,401 INFO [train.py:885] (0/2) Epoch 10, batch 2100, loss[loss=0.1805, simple_loss=0.2385, pruned_loss=0.06121, over 13230.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1024, over 33.00 utterances.], tot_loss[loss=0.3193, simple_loss=0.3782, pruned_loss=0.1303, over 2784243.72 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07248, over 46833.67 utterances.], batch size: 33, lr: 4.64e-04
+2022-09-17 19:49:08,008 INFO [train.py:885] (0/2) Epoch 10, batch 2150, loss[loss=0.328, simple_loss=0.3926, pruned_loss=0.1317, over 14284.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04057, over 283.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.376, pruned_loss=0.1288, over 2779899.04 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07162, over 46395.90 utterances.], batch size: 283, lr: 4.64e-04
+2022-09-17 19:49:37,790 INFO [train.py:885] (0/2) Epoch 10, batch 2200, loss[loss=0.2964, simple_loss=0.3476, pruned_loss=0.1226, over 14306.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03769, over 120.00 utterances.], tot_loss[loss=0.3113, simple_loss=0.3712, pruned_loss=0.1256, over 2780696.73 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06938, over 44630.25 utterances.], batch size: 120, lr: 4.64e-04
+2022-09-17 19:50:07,428 INFO [train.py:885] (0/2) Epoch 10, batch 2250, loss[loss=0.4431, simple_loss=0.4964, pruned_loss=0.1949, over 13796.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07026, over 411.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3753, pruned_loss=0.1282, over 2781227.77 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07068, over 46216.73 utterances.], batch size: 411, lr: 4.64e-04
+2022-09-17 19:50:37,208 INFO [train.py:885] (0/2) Epoch 10, batch 2300, loss[loss=0.3715, simple_loss=0.4157, pruned_loss=0.1637, over 14360.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03351, over 244.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3751, pruned_loss=0.128, over 2780520.26 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07187, over 47051.46 utterances.], batch size: 244, lr: 4.64e-04
+2022-09-17 19:51:06,259 INFO [train.py:885] (0/2) Epoch 10, batch 2350, loss[loss=0.1525, simple_loss=0.2101, pruned_loss=0.04745, over 13177.00 frames. utt_duration=1599 frames, utt_pad_proportion=0.09632, over 33.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3763, pruned_loss=0.1292, over 2786192.24 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07125, over 46312.94 utterances.], batch size: 33, lr: 4.64e-04
+2022-09-17 19:51:35,843 INFO [train.py:885] (0/2) Epoch 10, batch 2400, loss[loss=0.216, simple_loss=0.2518, pruned_loss=0.09014, over 13867.00 frames. utt_duration=925.9 frames, utt_pad_proportion=0.07043, over 60.00 utterances.], tot_loss[loss=0.3152, simple_loss=0.3747, pruned_loss=0.1279, over 2782133.71 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07135, over 46140.44 utterances.], batch size: 60, lr: 4.64e-04
+2022-09-17 19:51:48,407 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-116000.pt
+2022-09-17 19:52:05,956 INFO [train.py:885] (0/2) Epoch 10, batch 2450, loss[loss=0.1972, simple_loss=0.2591, pruned_loss=0.06762, over 14068.00 frames. utt_duration=805.1 frames, utt_pad_proportion=0.06051, over 70.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3772, pruned_loss=0.1292, over 2775534.40 frames. utt_duration=235 frames, utt_pad_proportion=0.07419, over 47531.94 utterances.], batch size: 70, lr: 4.64e-04
+2022-09-17 19:52:35,118 INFO [train.py:885] (0/2) Epoch 10, batch 2500, loss[loss=0.2629, simple_loss=0.3321, pruned_loss=0.09687, over 14301.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.04015, over 130.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3739, pruned_loss=0.1279, over 2776742.91 frames. utt_duration=244 frames, utt_pad_proportion=0.07366, over 45806.28 utterances.], batch size: 130, lr: 4.64e-04
+2022-09-17 19:53:04,962 INFO [train.py:885] (0/2) Epoch 10, batch 2550, loss[loss=0.371, simple_loss=0.4175, pruned_loss=0.1622, over 14309.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03917, over 195.00 utterances.], tot_loss[loss=0.3126, simple_loss=0.3719, pruned_loss=0.1267, over 2781462.94 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07054, over 44601.37 utterances.], batch size: 195, lr: 4.63e-04
+2022-09-17 19:53:33,828 INFO [train.py:885] (0/2) Epoch 10, batch 2600, loss[loss=0.3702, simple_loss=0.4192, pruned_loss=0.1605, over 14192.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04528, over 306.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3705, pruned_loss=0.1259, over 2779784.15 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07071, over 44642.90 utterances.], batch size: 306, lr: 4.63e-04
+2022-09-17 19:54:03,775 INFO [train.py:885] (0/2) Epoch 10, batch 2650, loss[loss=0.298, simple_loss=0.3639, pruned_loss=0.116, over 14355.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03876, over 167.00 utterances.], tot_loss[loss=0.3142, simple_loss=0.3729, pruned_loss=0.1277, over 2785031.33 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06862, over 44747.06 utterances.], batch size: 167, lr: 4.63e-04
+2022-09-17 19:54:33,705 INFO [train.py:885] (0/2) Epoch 10, batch 2700, loss[loss=0.4315, simple_loss=0.4867, pruned_loss=0.1881, over 13662.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08122, over 478.00 utterances.], tot_loss[loss=0.3177, simple_loss=0.3766, pruned_loss=0.1294, over 2787335.71 frames. utt_duration=241.9 frames, utt_pad_proportion=0.06887, over 46365.26 utterances.], batch size: 478, lr: 4.63e-04
+2022-09-17 19:55:02,819 INFO [train.py:885] (0/2) Epoch 10, batch 2750, loss[loss=0.4448, simple_loss=0.4795, pruned_loss=0.2051, over 13964.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05824, over 365.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.3789, pruned_loss=0.1318, over 2792284.35 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06685, over 45719.04 utterances.], batch size: 365, lr: 4.63e-04
+2022-09-17 19:55:32,724 INFO [train.py:885] (0/2) Epoch 10, batch 2800, loss[loss=0.203, simple_loss=0.2756, pruned_loss=0.06516, over 13425.00 frames. utt_duration=1629 frames, utt_pad_proportion=0.09609, over 33.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.378, pruned_loss=0.1309, over 2783728.24 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07113, over 46424.30 utterances.], batch size: 33, lr: 4.63e-04
+2022-09-17 19:56:01,594 INFO [train.py:885] (0/2) Epoch 10, batch 2850, loss[loss=0.1934, simple_loss=0.2623, pruned_loss=0.06227, over 13930.00 frames. utt_duration=930.3 frames, utt_pad_proportion=0.06405, over 60.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3733, pruned_loss=0.1284, over 2785687.05 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06954, over 44717.02 utterances.], batch size: 60, lr: 4.63e-04
+2022-09-17 19:56:31,455 INFO [train.py:885] (0/2) Epoch 10, batch 2900, loss[loss=0.2129, simple_loss=0.2607, pruned_loss=0.08256, over 13133.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1079, over 33.00 utterances.], tot_loss[loss=0.3184, simple_loss=0.3772, pruned_loss=0.1298, over 2790928.80 frames. utt_duration=241.6 frames, utt_pad_proportion=0.06727, over 46500.53 utterances.], batch size: 33, lr: 4.63e-04
+2022-09-17 19:57:00,273 INFO [train.py:885] (0/2) Epoch 10, batch 2950, loss[loss=0.2141, simple_loss=0.2387, pruned_loss=0.09469, over 13233.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1116, over 33.00 utterances.], tot_loss[loss=0.3129, simple_loss=0.3718, pruned_loss=0.127, over 2784239.63 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06889, over 45029.66 utterances.], batch size: 33, lr: 4.63e-04
+2022-09-17 19:57:29,649 INFO [train.py:885] (0/2) Epoch 10, batch 3000, loss[loss=0.2311, simple_loss=0.2973, pruned_loss=0.0824, over 13819.00 frames. utt_duration=922.8 frames, utt_pad_proportion=0.06979, over 60.00 utterances.], tot_loss[loss=0.3137, simple_loss=0.3717, pruned_loss=0.1278, over 2784633.16 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06809, over 44416.92 utterances.], batch size: 60, lr: 4.63e-04
+2022-09-17 19:57:29,651 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 19:57:34,743 INFO [train.py:914] (0/2) Epoch 10, validation: loss=0.2049, simple_loss=0.2828, pruned_loss=0.06348, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 19:58:04,709 INFO [train.py:885] (0/2) Epoch 10, batch 3050, loss[loss=0.3555, simple_loss=0.3999, pruned_loss=0.1555, over 14335.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03996, over 167.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3723, pruned_loss=0.1282, over 2789731.12 frames. utt_duration=254 frames, utt_pad_proportion=0.06636, over 44192.45 utterances.], batch size: 167, lr: 4.62e-04
+2022-09-17 19:58:34,731 INFO [train.py:885] (0/2) Epoch 10, batch 3100, loss[loss=0.6677, simple_loss=0.6997, pruned_loss=0.3179, over 12564.00 frames. utt_duration=63.6 frames, utt_pad_proportion=0.1405, over 810.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.377, pruned_loss=0.1303, over 2785512.24 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07016, over 46882.26 utterances.], batch size: 810, lr: 4.62e-04
+2022-09-17 19:59:03,654 INFO [train.py:885] (0/2) Epoch 10, batch 3150, loss[loss=0.2741, simple_loss=0.3521, pruned_loss=0.09808, over 14342.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.0371, over 195.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3755, pruned_loss=0.1296, over 2787472.30 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06998, over 46122.32 utterances.], batch size: 195, lr: 4.62e-04
+2022-09-17 19:59:32,822 INFO [train.py:885] (0/2) Epoch 10, batch 3200, loss[loss=0.4163, simple_loss=0.4945, pruned_loss=0.169, over 13158.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.3761, pruned_loss=0.1291, over 2784127.33 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07242, over 47496.11 utterances.], batch size: 653, lr: 4.62e-04
+2022-09-17 20:00:02,718 INFO [train.py:885] (0/2) Epoch 10, batch 3250, loss[loss=0.6036, simple_loss=0.6512, pruned_loss=0.278, over 12528.00 frames. utt_duration=63.45 frames, utt_pad_proportion=0.1425, over 810.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3767, pruned_loss=0.1287, over 2782336.30 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07229, over 47950.76 utterances.], batch size: 810, lr: 4.62e-04
+2022-09-17 20:00:33,397 INFO [train.py:885] (0/2) Epoch 10, batch 3300, loss[loss=0.3204, simple_loss=0.3824, pruned_loss=0.1292, over 14357.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03332, over 244.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.378, pruned_loss=0.1294, over 2776164.58 frames. utt_duration=229.5 frames, utt_pad_proportion=0.075, over 48705.78 utterances.], batch size: 244, lr: 4.62e-04
+2022-09-17 20:01:02,978 INFO [train.py:885] (0/2) Epoch 10, batch 3350, loss[loss=0.1608, simple_loss=0.2078, pruned_loss=0.05688, over 12801.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.1322, over 25.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3797, pruned_loss=0.1301, over 2780763.23 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07426, over 49170.52 utterances.], batch size: 25, lr: 4.62e-04
+2022-09-17 20:01:32,674 INFO [train.py:885] (0/2) Epoch 10, batch 3400, loss[loss=0.271, simple_loss=0.3226, pruned_loss=0.1096, over 14160.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04564, over 109.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3774, pruned_loss=0.1285, over 2777364.02 frames. utt_duration=228 frames, utt_pad_proportion=0.07501, over 49036.88 utterances.], batch size: 109, lr: 4.62e-04
+2022-09-17 20:02:02,051 INFO [train.py:885] (0/2) Epoch 10, batch 3450, loss[loss=0.557, simple_loss=0.6227, pruned_loss=0.2457, over 12465.00 frames. utt_duration=63.14 frames, utt_pad_proportion=0.1468, over 810.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.3753, pruned_loss=0.1282, over 2773618.65 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07541, over 47949.54 utterances.], batch size: 810, lr: 4.62e-04
+2022-09-17 20:02:31,714 INFO [train.py:885] (0/2) Epoch 10, batch 3500, loss[loss=0.3071, simple_loss=0.3567, pruned_loss=0.1288, over 14235.00 frames. utt_duration=523.7 frames, utt_pad_proportion=0.0408, over 109.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.3767, pruned_loss=0.1289, over 2776369.59 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07512, over 48214.85 utterances.], batch size: 109, lr: 4.62e-04
+2022-09-17 20:03:00,793 INFO [train.py:885] (0/2) Epoch 10, batch 3550, loss[loss=0.297, simple_loss=0.3602, pruned_loss=0.1169, over 14292.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03876, over 180.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3753, pruned_loss=0.1288, over 2779330.27 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07331, over 46893.47 utterances.], batch size: 180, lr: 4.61e-04
+2022-09-17 20:03:30,494 INFO [train.py:885] (0/2) Epoch 10, batch 3600, loss[loss=0.2802, simple_loss=0.3418, pruned_loss=0.1093, over 14304.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03781, over 130.00 utterances.], tot_loss[loss=0.3141, simple_loss=0.3732, pruned_loss=0.1275, over 2779996.97 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07273, over 46217.39 utterances.], batch size: 130, lr: 4.61e-04
+2022-09-17 20:03:59,822 INFO [train.py:885] (0/2) Epoch 10, batch 3650, loss[loss=0.1979, simple_loss=0.263, pruned_loss=0.06634, over 13827.00 frames. utt_duration=802.9 frames, utt_pad_proportion=0.06531, over 69.00 utterances.], tot_loss[loss=0.3161, simple_loss=0.3748, pruned_loss=0.1287, over 2778563.44 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07271, over 46879.15 utterances.], batch size: 69, lr: 4.61e-04
+2022-09-17 20:04:29,687 INFO [train.py:885] (0/2) Epoch 10, batch 3700, loss[loss=0.4036, simple_loss=0.4749, pruned_loss=0.1662, over 13613.00 frames. utt_duration=98.69 frames, utt_pad_proportion=0.0777, over 560.00 utterances.], tot_loss[loss=0.3162, simple_loss=0.3746, pruned_loss=0.1289, over 2777902.15 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07286, over 46632.49 utterances.], batch size: 560, lr: 4.61e-04
+2022-09-17 20:04:59,043 INFO [train.py:885] (0/2) Epoch 10, batch 3750, loss[loss=0.1781, simple_loss=0.2314, pruned_loss=0.06235, over 13402.00 frames. utt_duration=1626 frames, utt_pad_proportion=0.08751, over 33.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.375, pruned_loss=0.1283, over 2781106.29 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07107, over 46885.10 utterances.], batch size: 33, lr: 4.61e-04
+2022-09-17 20:05:28,821 INFO [train.py:885] (0/2) Epoch 10, batch 3800, loss[loss=0.3023, simple_loss=0.349, pruned_loss=0.1278, over 14173.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04501, over 109.00 utterances.], tot_loss[loss=0.3162, simple_loss=0.3752, pruned_loss=0.1286, over 2779938.10 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0722, over 46575.87 utterances.], batch size: 109, lr: 4.61e-04
+2022-09-17 20:05:58,201 INFO [train.py:885] (0/2) Epoch 10, batch 3850, loss[loss=0.3389, simple_loss=0.4013, pruned_loss=0.1382, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0406, over 225.00 utterances.], tot_loss[loss=0.3118, simple_loss=0.371, pruned_loss=0.1263, over 2776951.53 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07252, over 45375.44 utterances.], batch size: 225, lr: 4.61e-04
+2022-09-17 20:06:27,973 INFO [train.py:885] (0/2) Epoch 10, batch 3900, loss[loss=0.3944, simple_loss=0.4395, pruned_loss=0.1746, over 14263.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04136, over 335.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3715, pruned_loss=0.127, over 2778974.91 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07233, over 45527.26 utterances.], batch size: 335, lr: 4.61e-04
+2022-09-17 20:06:57,493 INFO [train.py:885] (0/2) Epoch 10, batch 3950, loss[loss=0.3385, simple_loss=0.3995, pruned_loss=0.1387, over 14368.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03513, over 195.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3706, pruned_loss=0.1266, over 2782357.21 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07147, over 44923.04 utterances.], batch size: 195, lr: 4.61e-04
+2022-09-17 20:07:27,603 INFO [train.py:885] (0/2) Epoch 10, batch 4000, loss[loss=0.3926, simple_loss=0.4328, pruned_loss=0.1763, over 14348.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03606, over 195.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3737, pruned_loss=0.1282, over 2778730.54 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07275, over 46143.68 utterances.], batch size: 195, lr: 4.61e-04
+2022-09-17 20:07:57,291 INFO [train.py:885] (0/2) Epoch 10, batch 4050, loss[loss=0.2596, simple_loss=0.3412, pruned_loss=0.08902, over 14254.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.04394, over 154.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3735, pruned_loss=0.1279, over 2777803.87 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07355, over 46235.87 utterances.], batch size: 154, lr: 4.60e-04
+2022-09-17 20:08:26,494 INFO [train.py:885] (0/2) Epoch 10, batch 4100, loss[loss=0.2858, simple_loss=0.3528, pruned_loss=0.1094, over 14321.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03971, over 154.00 utterances.], tot_loss[loss=0.3142, simple_loss=0.3728, pruned_loss=0.1278, over 2779257.32 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07236, over 45755.80 utterances.], batch size: 154, lr: 4.60e-04
+2022-09-17 20:08:55,902 INFO [train.py:885] (0/2) Epoch 10, batch 4150, loss[loss=0.3687, simple_loss=0.4443, pruned_loss=0.1465, over 13584.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08421, over 477.00 utterances.], tot_loss[loss=0.3161, simple_loss=0.3754, pruned_loss=0.1284, over 2780934.83 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07327, over 47175.95 utterances.], batch size: 477, lr: 4.60e-04
+2022-09-17 20:09:25,614 INFO [train.py:885] (0/2) Epoch 10, batch 4200, loss[loss=0.4442, simple_loss=0.4728, pruned_loss=0.2078, over 14215.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04375, over 306.00 utterances.], tot_loss[loss=0.3179, simple_loss=0.3774, pruned_loss=0.1292, over 2776450.45 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07528, over 48371.90 utterances.], batch size: 306, lr: 4.60e-04
+2022-09-17 20:09:54,727 INFO [train.py:885] (0/2) Epoch 10, batch 4250, loss[loss=0.352, simple_loss=0.4016, pruned_loss=0.1512, over 14324.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03516, over 244.00 utterances.], tot_loss[loss=0.3185, simple_loss=0.3776, pruned_loss=0.1297, over 2779643.66 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07359, over 47488.31 utterances.], batch size: 244, lr: 4.60e-04
+2022-09-17 20:10:24,560 INFO [train.py:885] (0/2) Epoch 10, batch 4300, loss[loss=0.3416, simple_loss=0.3822, pruned_loss=0.1505, over 14288.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03951, over 180.00 utterances.], tot_loss[loss=0.3163, simple_loss=0.3753, pruned_loss=0.1286, over 2777082.89 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07543, over 46835.74 utterances.], batch size: 180, lr: 4.60e-04
+2022-09-17 20:10:53,757 INFO [train.py:885] (0/2) Epoch 10, batch 4350, loss[loss=0.284, simple_loss=0.3404, pruned_loss=0.1138, over 14169.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.04483, over 109.00 utterances.], tot_loss[loss=0.314, simple_loss=0.3729, pruned_loss=0.1276, over 2782215.14 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07176, over 45868.75 utterances.], batch size: 109, lr: 4.60e-04
+2022-09-17 20:11:23,377 INFO [train.py:885] (0/2) Epoch 10, batch 4400, loss[loss=0.4564, simple_loss=0.5249, pruned_loss=0.1939, over 13156.00 frames. utt_duration=82.08 frames, utt_pad_proportion=0.1078, over 653.00 utterances.], tot_loss[loss=0.3103, simple_loss=0.3697, pruned_loss=0.1255, over 2783196.42 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07059, over 44494.43 utterances.], batch size: 653, lr: 4.60e-04
+2022-09-17 20:11:53,152 INFO [train.py:885] (0/2) Epoch 10, batch 4450, loss[loss=0.5362, simple_loss=0.6126, pruned_loss=0.2299, over 12497.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.146, over 811.00 utterances.], tot_loss[loss=0.3086, simple_loss=0.3685, pruned_loss=0.1244, over 2780714.80 frames. utt_duration=249 frames, utt_pad_proportion=0.07188, over 44943.58 utterances.], batch size: 811, lr: 4.60e-04
+2022-09-17 20:12:23,117 INFO [train.py:885] (0/2) Epoch 10, batch 4500, loss[loss=0.2958, simple_loss=0.3647, pruned_loss=0.1134, over 14329.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03421, over 154.00 utterances.], tot_loss[loss=0.309, simple_loss=0.369, pruned_loss=0.1246, over 2779455.67 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07292, over 45080.41 utterances.], batch size: 154, lr: 4.60e-04
+2022-09-17 20:12:52,299 INFO [train.py:885] (0/2) Epoch 10, batch 4550, loss[loss=0.3489, simple_loss=0.435, pruned_loss=0.1315, over 13629.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08154, over 477.00 utterances.], tot_loss[loss=0.3099, simple_loss=0.3696, pruned_loss=0.1251, over 2778061.82 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07341, over 45200.63 utterances.], batch size: 477, lr: 4.59e-04
+2022-09-17 20:13:21,798 INFO [train.py:885] (0/2) Epoch 10, batch 4600, loss[loss=0.3566, simple_loss=0.4358, pruned_loss=0.1387, over 13772.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07183, over 411.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3715, pruned_loss=0.1261, over 2776999.91 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07403, over 45771.60 utterances.], batch size: 411, lr: 4.59e-04
+2022-09-17 20:13:51,848 INFO [train.py:885] (0/2) Epoch 10, batch 4650, loss[loss=0.5993, simple_loss=0.6462, pruned_loss=0.2762, over 12477.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1469, over 810.00 utterances.], tot_loss[loss=0.3109, simple_loss=0.3707, pruned_loss=0.1256, over 2775211.68 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07446, over 45318.67 utterances.], batch size: 810, lr: 4.59e-04
+2022-09-17 20:14:21,491 INFO [train.py:885] (0/2) Epoch 10, batch 4700, loss[loss=0.2597, simple_loss=0.3194, pruned_loss=0.1, over 14155.00 frames. utt_duration=579.2 frames, utt_pad_proportion=0.05057, over 98.00 utterances.], tot_loss[loss=0.3133, simple_loss=0.3723, pruned_loss=0.1271, over 2773825.18 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07596, over 45812.56 utterances.], batch size: 98, lr: 4.59e-04
+2022-09-17 20:14:50,210 INFO [train.py:885] (0/2) Epoch 10, batch 4750, loss[loss=0.1896, simple_loss=0.2417, pruned_loss=0.06875, over 13379.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.08729, over 41.00 utterances.], tot_loss[loss=0.308, simple_loss=0.3673, pruned_loss=0.1244, over 2774442.47 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07273, over 43962.81 utterances.], batch size: 41, lr: 4.59e-04
+2022-09-17 20:15:19,592 INFO [train.py:885] (0/2) Epoch 10, batch 4800, loss[loss=0.3474, simple_loss=0.3983, pruned_loss=0.1482, over 14316.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03789, over 195.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3666, pruned_loss=0.1237, over 2775640.61 frames. utt_duration=257.1 frames, utt_pad_proportion=0.07317, over 43428.02 utterances.], batch size: 195, lr: 4.59e-04
+2022-09-17 20:15:50,001 INFO [train.py:885] (0/2) Epoch 10, batch 4850, loss[loss=0.3466, simple_loss=0.4015, pruned_loss=0.1459, over 14296.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03962, over 283.00 utterances.], tot_loss[loss=0.3099, simple_loss=0.3691, pruned_loss=0.1253, over 2778131.68 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07231, over 44777.58 utterances.], batch size: 283, lr: 4.59e-04
+2022-09-17 20:16:19,330 INFO [train.py:885] (0/2) Epoch 10, batch 4900, loss[loss=0.2216, simple_loss=0.2815, pruned_loss=0.08086, over 13670.00 frames. utt_duration=912.7 frames, utt_pad_proportion=0.08179, over 60.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3735, pruned_loss=0.1275, over 2783182.22 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07052, over 46128.28 utterances.], batch size: 60, lr: 4.59e-04
+2022-09-17 20:16:48,153 INFO [train.py:885] (0/2) Epoch 10, batch 4950, loss[loss=0.3168, simple_loss=0.393, pruned_loss=0.1203, over 13965.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05827, over 365.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3717, pruned_loss=0.1273, over 2783782.89 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07096, over 44850.71 utterances.], batch size: 365, lr: 4.59e-04
+2022-09-17 20:17:17,840 INFO [train.py:885] (0/2) Epoch 10, batch 5000, loss[loss=0.3899, simple_loss=0.4819, pruned_loss=0.1489, over 13185.00 frames. utt_duration=82.33 frames, utt_pad_proportion=0.1051, over 653.00 utterances.], tot_loss[loss=0.3157, simple_loss=0.3748, pruned_loss=0.1283, over 2778603.37 frames. utt_duration=240 frames, utt_pad_proportion=0.0741, over 46596.92 utterances.], batch size: 653, lr: 4.59e-04
+2022-09-17 20:17:47,066 INFO [train.py:885] (0/2) Epoch 10, batch 5050, loss[loss=0.3316, simple_loss=0.3916, pruned_loss=0.1358, over 14307.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03982, over 262.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.3687, pruned_loss=0.125, over 2780679.37 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07124, over 44057.50 utterances.], batch size: 262, lr: 4.59e-04
+2022-09-17 20:18:16,756 INFO [train.py:885] (0/2) Epoch 10, batch 5100, loss[loss=0.4175, simple_loss=0.4999, pruned_loss=0.1675, over 13126.00 frames. utt_duration=81.95 frames, utt_pad_proportion=0.1093, over 653.00 utterances.], tot_loss[loss=0.3099, simple_loss=0.3692, pruned_loss=0.1253, over 2777604.14 frames. utt_duration=251.2 frames, utt_pad_proportion=0.0725, over 44483.64 utterances.], batch size: 653, lr: 4.58e-04
+2022-09-17 20:18:45,976 INFO [train.py:885] (0/2) Epoch 10, batch 5150, loss[loss=0.2404, simple_loss=0.2947, pruned_loss=0.09309, over 14211.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04578, over 89.00 utterances.], tot_loss[loss=0.3114, simple_loss=0.37, pruned_loss=0.1264, over 2777516.14 frames. utt_duration=252.8 frames, utt_pad_proportion=0.0733, over 44213.06 utterances.], batch size: 89, lr: 4.58e-04
+2022-09-17 20:19:15,731 INFO [train.py:885] (0/2) Epoch 10, batch 5200, loss[loss=0.2872, simple_loss=0.3539, pruned_loss=0.1103, over 14144.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04648, over 109.00 utterances.], tot_loss[loss=0.3137, simple_loss=0.3718, pruned_loss=0.1278, over 2779142.84 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07272, over 45054.94 utterances.], batch size: 109, lr: 4.58e-04
+2022-09-17 20:19:45,374 INFO [train.py:885] (0/2) Epoch 10, batch 5250, loss[loss=0.2003, simple_loss=0.246, pruned_loss=0.07725, over 12807.00 frames. utt_duration=2136 frames, utt_pad_proportion=0.1262, over 24.00 utterances.], tot_loss[loss=0.317, simple_loss=0.3753, pruned_loss=0.1293, over 2780209.69 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07271, over 46755.55 utterances.], batch size: 24, lr: 4.58e-04
+2022-09-17 20:20:14,581 INFO [train.py:885] (0/2) Epoch 10, batch 5300, loss[loss=0.1844, simple_loss=0.2488, pruned_loss=0.05998, over 12397.00 frames. utt_duration=2067 frames, utt_pad_proportion=0.1427, over 24.00 utterances.], tot_loss[loss=0.3182, simple_loss=0.3768, pruned_loss=0.1298, over 2780028.36 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07283, over 47554.74 utterances.], batch size: 24, lr: 4.58e-04
+2022-09-17 20:20:43,869 INFO [train.py:885] (0/2) Epoch 10, batch 5350, loss[loss=0.3402, simple_loss=0.39, pruned_loss=0.1452, over 14353.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.036, over 195.00 utterances.], tot_loss[loss=0.3144, simple_loss=0.3728, pruned_loss=0.128, over 2779948.79 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07183, over 46188.21 utterances.], batch size: 195, lr: 4.58e-04
+2022-09-17 20:21:13,062 INFO [train.py:885] (0/2) Epoch 10, batch 5400, loss[loss=0.3186, simple_loss=0.3751, pruned_loss=0.1311, over 14314.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03557, over 262.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3757, pruned_loss=0.1292, over 2780852.24 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07161, over 47140.60 utterances.], batch size: 262, lr: 4.58e-04
+2022-09-17 20:21:44,021 INFO [train.py:885] (0/2) Epoch 10, batch 5450, loss[loss=0.434, simple_loss=0.5097, pruned_loss=0.1791, over 13162.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.3226, simple_loss=0.3822, pruned_loss=0.1315, over 2773729.94 frames. utt_duration=218.5 frames, utt_pad_proportion=0.07572, over 51130.01 utterances.], batch size: 653, lr: 4.58e-04
+2022-09-17 20:22:13,320 INFO [train.py:885] (0/2) Epoch 10, batch 5500, loss[loss=0.204, simple_loss=0.2643, pruned_loss=0.07186, over 14091.00 frames. utt_duration=806.6 frames, utt_pad_proportion=0.05876, over 70.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3806, pruned_loss=0.1307, over 2773470.15 frames. utt_duration=220.9 frames, utt_pad_proportion=0.07539, over 50551.49 utterances.], batch size: 70, lr: 4.58e-04
+2022-09-17 20:22:42,406 INFO [train.py:885] (0/2) Epoch 10, batch 5550, loss[loss=0.3078, simple_loss=0.3806, pruned_loss=0.1175, over 14281.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03966, over 180.00 utterances.], tot_loss[loss=0.3204, simple_loss=0.3796, pruned_loss=0.1306, over 2769902.89 frames. utt_duration=222.6 frames, utt_pad_proportion=0.07718, over 50103.35 utterances.], batch size: 180, lr: 4.58e-04
+2022-09-17 20:23:11,641 INFO [train.py:885] (0/2) Epoch 10, batch 5600, loss[loss=0.308, simple_loss=0.3789, pruned_loss=0.1185, over 14311.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03826, over 210.00 utterances.], tot_loss[loss=0.317, simple_loss=0.3765, pruned_loss=0.1287, over 2774689.98 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07496, over 48412.10 utterances.], batch size: 210, lr: 4.57e-04
+2022-09-17 20:23:40,296 INFO [train.py:885] (0/2) Epoch 10, batch 5650, loss[loss=0.273, simple_loss=0.3424, pruned_loss=0.1018, over 14366.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.03394, over 130.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.3754, pruned_loss=0.1282, over 2777261.32 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07276, over 47298.26 utterances.], batch size: 130, lr: 4.57e-04
+2022-09-17 20:24:09,983 INFO [train.py:885] (0/2) Epoch 10, batch 5700, loss[loss=0.1866, simple_loss=0.2414, pruned_loss=0.06584, over 12982.00 frames. utt_duration=1575 frames, utt_pad_proportion=0.1126, over 33.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.375, pruned_loss=0.1281, over 2774428.26 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07359, over 47358.42 utterances.], batch size: 33, lr: 4.57e-04
+2022-09-17 20:24:40,140 INFO [train.py:885] (0/2) Epoch 10, batch 5750, loss[loss=0.3054, simple_loss=0.3766, pruned_loss=0.1171, over 14341.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.0385, over 244.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3746, pruned_loss=0.1276, over 2772874.58 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07541, over 47620.61 utterances.], batch size: 244, lr: 4.57e-04
+2022-09-17 20:25:09,671 INFO [train.py:885] (0/2) Epoch 10, batch 5800, loss[loss=0.4958, simple_loss=0.5544, pruned_loss=0.2186, over 13145.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.3181, simple_loss=0.3784, pruned_loss=0.129, over 2774947.35 frames. utt_duration=226.8 frames, utt_pad_proportion=0.07584, over 49267.21 utterances.], batch size: 653, lr: 4.57e-04
+2022-09-17 20:25:39,262 INFO [train.py:885] (0/2) Epoch 10, batch 5850, loss[loss=0.2553, simple_loss=0.3222, pruned_loss=0.09424, over 14209.00 frames. utt_duration=640.2 frames, utt_pad_proportion=0.04583, over 89.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3747, pruned_loss=0.1275, over 2776263.23 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07289, over 47481.00 utterances.], batch size: 89, lr: 4.57e-04
+2022-09-17 20:26:08,848 INFO [train.py:885] (0/2) Epoch 10, batch 5900, loss[loss=0.192, simple_loss=0.2489, pruned_loss=0.06755, over 13852.00 frames. utt_duration=924.8 frames, utt_pad_proportion=0.06773, over 60.00 utterances.], tot_loss[loss=0.3142, simple_loss=0.3743, pruned_loss=0.127, over 2779576.71 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07166, over 47510.42 utterances.], batch size: 60, lr: 4.57e-04
+2022-09-17 20:26:38,159 INFO [train.py:885] (0/2) Epoch 10, batch 5950, loss[loss=0.3867, simple_loss=0.4264, pruned_loss=0.1736, over 14309.00 frames. utt_duration=294.9 frames, utt_pad_proportion=0.03925, over 195.00 utterances.], tot_loss[loss=0.3137, simple_loss=0.3731, pruned_loss=0.1271, over 2780047.46 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07232, over 46312.61 utterances.], batch size: 195, lr: 4.57e-04
+2022-09-17 20:27:08,026 INFO [train.py:885] (0/2) Epoch 10, batch 6000, loss[loss=0.2001, simple_loss=0.2548, pruned_loss=0.07273, over 13799.00 frames. utt_duration=921.4 frames, utt_pad_proportion=0.06552, over 60.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3703, pruned_loss=0.1256, over 2782691.31 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07192, over 45245.13 utterances.], batch size: 60, lr: 4.57e-04
+2022-09-17 20:27:08,027 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 20:27:12,702 INFO [train.py:914] (0/2) Epoch 10, validation: loss=0.2045, simple_loss=0.2829, pruned_loss=0.0631, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 20:27:42,401 INFO [train.py:885] (0/2) Epoch 10, batch 6050, loss[loss=0.3296, simple_loss=0.4182, pruned_loss=0.1205, over 13720.00 frames. utt_duration=116.6 frames, utt_pad_proportion=0.07464, over 477.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3708, pruned_loss=0.1257, over 2782474.18 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07074, over 45467.89 utterances.], batch size: 477, lr: 4.57e-04
+2022-09-17 20:28:11,716 INFO [train.py:885] (0/2) Epoch 10, batch 6100, loss[loss=0.3725, simple_loss=0.4273, pruned_loss=0.1588, over 14324.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03795, over 195.00 utterances.], tot_loss[loss=0.309, simple_loss=0.3689, pruned_loss=0.1245, over 2784147.84 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06921, over 44510.31 utterances.], batch size: 195, lr: 4.56e-04
+2022-09-17 20:28:41,263 INFO [train.py:885] (0/2) Epoch 10, batch 6150, loss[loss=0.3337, simple_loss=0.4109, pruned_loss=0.1283, over 14005.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05756, over 366.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3701, pruned_loss=0.126, over 2788324.03 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06807, over 44224.01 utterances.], batch size: 366, lr: 4.56e-04
+2022-09-17 20:29:10,532 INFO [train.py:885] (0/2) Epoch 10, batch 6200, loss[loss=0.358, simple_loss=0.4007, pruned_loss=0.1576, over 14240.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04627, over 141.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3673, pruned_loss=0.1247, over 2784744.28 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06868, over 43203.61 utterances.], batch size: 141, lr: 4.56e-04
+2022-09-17 20:29:40,311 INFO [train.py:885] (0/2) Epoch 10, batch 6250, loss[loss=0.2585, simple_loss=0.328, pruned_loss=0.09454, over 14087.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05333, over 98.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3669, pruned_loss=0.1236, over 2784749.62 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06884, over 43799.27 utterances.], batch size: 98, lr: 4.56e-04
+2022-09-17 20:30:09,535 INFO [train.py:885] (0/2) Epoch 10, batch 6300, loss[loss=0.194, simple_loss=0.2537, pruned_loss=0.06714, over 13219.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.09089, over 26.00 utterances.], tot_loss[loss=0.3066, simple_loss=0.367, pruned_loss=0.1231, over 2786319.86 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06803, over 44231.91 utterances.], batch size: 26, lr: 4.56e-04
+2022-09-17 20:30:39,410 INFO [train.py:885] (0/2) Epoch 10, batch 6350, loss[loss=0.3381, simple_loss=0.4102, pruned_loss=0.133, over 14004.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05516, over 365.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3678, pruned_loss=0.1241, over 2786409.44 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06693, over 44101.87 utterances.], batch size: 365, lr: 4.56e-04
+2022-09-17 20:31:08,490 INFO [train.py:885] (0/2) Epoch 10, batch 6400, loss[loss=0.2094, simple_loss=0.2773, pruned_loss=0.07078, over 14118.00 frames. utt_duration=636 frames, utt_pad_proportion=0.05362, over 89.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3697, pruned_loss=0.1248, over 2781701.59 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07064, over 45071.09 utterances.], batch size: 89, lr: 4.56e-04
+2022-09-17 20:31:20,869 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-120000.pt
+2022-09-17 20:31:38,542 INFO [train.py:885] (0/2) Epoch 10, batch 6450, loss[loss=0.3073, simple_loss=0.3949, pruned_loss=0.1098, over 13744.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07398, over 411.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3654, pruned_loss=0.1224, over 2787079.35 frames. utt_duration=260.4 frames, utt_pad_proportion=0.06875, over 43053.63 utterances.], batch size: 411, lr: 4.56e-04
+2022-09-17 20:32:08,228 INFO [train.py:885] (0/2) Epoch 10, batch 6500, loss[loss=0.3691, simple_loss=0.4468, pruned_loss=0.1456, over 13587.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08407, over 477.00 utterances.], tot_loss[loss=0.3039, simple_loss=0.3643, pruned_loss=0.1218, over 2785440.48 frames. utt_duration=260 frames, utt_pad_proportion=0.0684, over 43100.55 utterances.], batch size: 477, lr: 4.56e-04
+2022-09-17 20:32:37,663 INFO [train.py:885] (0/2) Epoch 10, batch 6550, loss[loss=0.2972, simple_loss=0.3571, pruned_loss=0.1186, over 14194.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.04916, over 141.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3604, pruned_loss=0.1199, over 2784858.04 frames. utt_duration=268.5 frames, utt_pad_proportion=0.06893, over 41712.79 utterances.], batch size: 141, lr: 4.56e-04
+2022-09-17 20:33:07,237 INFO [train.py:885] (0/2) Epoch 10, batch 6600, loss[loss=0.3093, simple_loss=0.3772, pruned_loss=0.1207, over 14329.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0386, over 262.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3645, pruned_loss=0.1224, over 2789509.46 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06605, over 42934.36 utterances.], batch size: 262, lr: 4.56e-04
+2022-09-17 20:33:36,801 INFO [train.py:885] (0/2) Epoch 10, batch 6650, loss[loss=0.4481, simple_loss=0.467, pruned_loss=0.2146, over 14214.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04459, over 335.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.367, pruned_loss=0.1249, over 2780024.10 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06902, over 43639.33 utterances.], batch size: 335, lr: 4.55e-04
+2022-09-17 20:34:05,942 INFO [train.py:885] (0/2) Epoch 10, batch 6700, loss[loss=0.316, simple_loss=0.3613, pruned_loss=0.1353, over 14289.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04073, over 120.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3663, pruned_loss=0.1242, over 2781749.31 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06996, over 43632.58 utterances.], batch size: 120, lr: 4.55e-04
+2022-09-17 20:34:35,244 INFO [train.py:885] (0/2) Epoch 10, batch 6750, loss[loss=0.3746, simple_loss=0.4337, pruned_loss=0.1578, over 13960.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05957, over 365.00 utterances.], tot_loss[loss=0.3062, simple_loss=0.3652, pruned_loss=0.1236, over 2783539.18 frames. utt_duration=261.3 frames, utt_pad_proportion=0.06834, over 42858.89 utterances.], batch size: 365, lr: 4.55e-04
+2022-09-17 20:35:05,462 INFO [train.py:885] (0/2) Epoch 10, batch 6800, loss[loss=0.5354, simple_loss=0.6087, pruned_loss=0.2311, over 12438.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1478, over 810.00 utterances.], tot_loss[loss=0.3091, simple_loss=0.3693, pruned_loss=0.1244, over 2782463.69 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07188, over 45264.23 utterances.], batch size: 810, lr: 4.55e-04
+2022-09-17 20:35:34,439 INFO [train.py:885] (0/2) Epoch 10, batch 6850, loss[loss=0.6855, simple_loss=0.711, pruned_loss=0.3301, over 12461.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1472, over 810.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3698, pruned_loss=0.1253, over 2778833.17 frames. utt_duration=249 frames, utt_pad_proportion=0.07301, over 44910.24 utterances.], batch size: 810, lr: 4.55e-04
+2022-09-17 20:36:03,841 INFO [train.py:885] (0/2) Epoch 10, batch 6900, loss[loss=0.3352, simple_loss=0.3919, pruned_loss=0.1393, over 14330.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0384, over 283.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3685, pruned_loss=0.1254, over 2775259.46 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07267, over 44122.72 utterances.], batch size: 283, lr: 4.55e-04
+2022-09-17 20:36:32,660 INFO [train.py:885] (0/2) Epoch 10, batch 6950, loss[loss=0.2803, simple_loss=0.3325, pruned_loss=0.114, over 14145.00 frames. utt_duration=578.7 frames, utt_pad_proportion=0.04983, over 98.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3702, pruned_loss=0.1261, over 2781193.13 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07023, over 44125.13 utterances.], batch size: 98, lr: 4.55e-04
+2022-09-17 20:37:01,880 INFO [train.py:885] (0/2) Epoch 10, batch 7000, loss[loss=0.3594, simple_loss=0.4108, pruned_loss=0.154, over 14206.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04463, over 306.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3697, pruned_loss=0.1257, over 2774674.20 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07123, over 44218.13 utterances.], batch size: 306, lr: 4.55e-04
+2022-09-17 20:37:31,878 INFO [train.py:885] (0/2) Epoch 10, batch 7050, loss[loss=0.3322, simple_loss=0.3943, pruned_loss=0.1351, over 14290.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.0403, over 283.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3676, pruned_loss=0.1238, over 2773832.02 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07065, over 44403.98 utterances.], batch size: 283, lr: 4.55e-04
+2022-09-17 20:38:01,666 INFO [train.py:885] (0/2) Epoch 10, batch 7100, loss[loss=0.4272, simple_loss=0.453, pruned_loss=0.2007, over 14369.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.035, over 195.00 utterances.], tot_loss[loss=0.31, simple_loss=0.3697, pruned_loss=0.1252, over 2775601.11 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07115, over 45201.87 utterances.], batch size: 195, lr: 4.55e-04
+2022-09-17 20:38:30,748 INFO [train.py:885] (0/2) Epoch 10, batch 7150, loss[loss=0.3553, simple_loss=0.4303, pruned_loss=0.1402, over 13773.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07154, over 411.00 utterances.], tot_loss[loss=0.3085, simple_loss=0.3686, pruned_loss=0.1242, over 2778501.01 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06956, over 44915.23 utterances.], batch size: 411, lr: 4.55e-04
+2022-09-17 20:39:00,246 INFO [train.py:885] (0/2) Epoch 10, batch 7200, loss[loss=0.3627, simple_loss=0.4069, pruned_loss=0.1593, over 14338.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03667, over 195.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3672, pruned_loss=0.1234, over 2779350.18 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06824, over 44447.39 utterances.], batch size: 195, lr: 4.54e-04
+2022-09-17 20:39:29,632 INFO [train.py:885] (0/2) Epoch 10, batch 7250, loss[loss=0.3526, simple_loss=0.4352, pruned_loss=0.135, over 13669.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07843, over 477.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3702, pruned_loss=0.1251, over 2781366.65 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06923, over 45657.99 utterances.], batch size: 477, lr: 4.54e-04
+2022-09-17 20:39:59,433 INFO [train.py:885] (0/2) Epoch 10, batch 7300, loss[loss=0.3641, simple_loss=0.4159, pruned_loss=0.1561, over 14305.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03942, over 283.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3701, pruned_loss=0.1256, over 2782477.06 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06838, over 45049.27 utterances.], batch size: 283, lr: 4.54e-04
+2022-09-17 20:40:28,404 INFO [train.py:885] (0/2) Epoch 10, batch 7350, loss[loss=0.2079, simple_loss=0.27, pruned_loss=0.07295, over 13644.00 frames. utt_duration=911 frames, utt_pad_proportion=0.07508, over 60.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3701, pruned_loss=0.1258, over 2781030.67 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06964, over 45402.53 utterances.], batch size: 60, lr: 4.54e-04
+2022-09-17 20:40:57,663 INFO [train.py:885] (0/2) Epoch 10, batch 7400, loss[loss=0.2718, simple_loss=0.3341, pruned_loss=0.1048, over 14192.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04342, over 109.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.369, pruned_loss=0.1248, over 2784811.84 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06732, over 44164.93 utterances.], batch size: 109, lr: 4.54e-04
+2022-09-17 20:41:26,836 INFO [train.py:885] (0/2) Epoch 10, batch 7450, loss[loss=0.3165, simple_loss=0.3882, pruned_loss=0.1224, over 14353.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03567, over 210.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3679, pruned_loss=0.1242, over 2787981.94 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06529, over 42983.71 utterances.], batch size: 210, lr: 4.54e-04
+2022-09-17 20:41:56,543 INFO [train.py:885] (0/2) Epoch 10, batch 7500, loss[loss=0.4882, simple_loss=0.5276, pruned_loss=0.2243, over 13801.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06963, over 411.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3758, pruned_loss=0.1294, over 2787967.28 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06756, over 45271.73 utterances.], batch size: 411, lr: 4.54e-04
+2022-09-17 20:42:26,256 INFO [train.py:885] (0/2) Epoch 10, batch 7550, loss[loss=0.3292, simple_loss=0.3945, pruned_loss=0.1319, over 14336.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03848, over 262.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3748, pruned_loss=0.1282, over 2788766.15 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07003, over 45510.33 utterances.], batch size: 262, lr: 4.54e-04
+2022-09-17 20:42:55,855 INFO [train.py:885] (0/2) Epoch 10, batch 7600, loss[loss=0.2033, simple_loss=0.2755, pruned_loss=0.06562, over 14022.00 frames. utt_duration=802.6 frames, utt_pad_proportion=0.05682, over 70.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3712, pruned_loss=0.1255, over 2786428.92 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06871, over 45086.00 utterances.], batch size: 70, lr: 4.54e-04
+2022-09-17 20:43:25,181 INFO [train.py:885] (0/2) Epoch 10, batch 7650, loss[loss=0.3171, simple_loss=0.3758, pruned_loss=0.1293, over 14335.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03968, over 167.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3717, pruned_loss=0.126, over 2788982.39 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06873, over 45537.97 utterances.], batch size: 167, lr: 4.54e-04
+2022-09-17 20:43:54,517 INFO [train.py:885] (0/2) Epoch 10, batch 7700, loss[loss=0.328, simple_loss=0.3753, pruned_loss=0.1404, over 14246.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04602, over 141.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3675, pruned_loss=0.124, over 2788105.86 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06814, over 44005.28 utterances.], batch size: 141, lr: 4.53e-04
+2022-09-17 20:44:24,149 INFO [train.py:885] (0/2) Epoch 10, batch 7750, loss[loss=0.2924, simple_loss=0.3285, pruned_loss=0.1282, over 14149.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04606, over 109.00 utterances.], tot_loss[loss=0.3085, simple_loss=0.3681, pruned_loss=0.1245, over 2787545.54 frames. utt_duration=254 frames, utt_pad_proportion=0.06945, over 44153.91 utterances.], batch size: 109, lr: 4.53e-04
+2022-09-17 20:44:52,867 INFO [train.py:885] (0/2) Epoch 10, batch 7800, loss[loss=0.2861, simple_loss=0.3702, pruned_loss=0.101, over 13977.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05687, over 365.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3651, pruned_loss=0.1232, over 2786041.45 frames. utt_duration=261.2 frames, utt_pad_proportion=0.06885, over 42913.63 utterances.], batch size: 365, lr: 4.53e-04
+2022-09-17 20:45:22,594 INFO [train.py:885] (0/2) Epoch 10, batch 7850, loss[loss=0.3578, simple_loss=0.4361, pruned_loss=0.1397, over 13605.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.07839, over 560.00 utterances.], tot_loss[loss=0.304, simple_loss=0.3646, pruned_loss=0.1217, over 2785209.23 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06897, over 44039.89 utterances.], batch size: 560, lr: 4.53e-04
+2022-09-17 20:45:52,214 INFO [train.py:885] (0/2) Epoch 10, batch 7900, loss[loss=0.2022, simple_loss=0.259, pruned_loss=0.07268, over 13769.00 frames. utt_duration=919.6 frames, utt_pad_proportion=0.07298, over 60.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3627, pruned_loss=0.1213, over 2785711.42 frames. utt_duration=259 frames, utt_pad_proportion=0.06807, over 43265.11 utterances.], batch size: 60, lr: 4.53e-04
+2022-09-17 20:46:21,108 INFO [train.py:885] (0/2) Epoch 10, batch 7950, loss[loss=0.3014, simple_loss=0.3499, pruned_loss=0.1264, over 14296.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.0435, over 110.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3627, pruned_loss=0.1217, over 2784954.60 frames. utt_duration=262.9 frames, utt_pad_proportion=0.06994, over 42605.10 utterances.], batch size: 110, lr: 4.53e-04
+2022-09-17 20:46:51,298 INFO [train.py:885] (0/2) Epoch 10, batch 8000, loss[loss=0.3957, simple_loss=0.4357, pruned_loss=0.1778, over 14188.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04538, over 306.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3653, pruned_loss=0.1232, over 2779456.75 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07264, over 43912.65 utterances.], batch size: 306, lr: 4.53e-04
+2022-09-17 20:47:20,767 INFO [train.py:885] (0/2) Epoch 10, batch 8050, loss[loss=0.3372, simple_loss=0.4273, pruned_loss=0.1236, over 13621.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08083, over 477.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3666, pruned_loss=0.1231, over 2777654.91 frames. utt_duration=252 frames, utt_pad_proportion=0.07296, over 44355.02 utterances.], batch size: 477, lr: 4.53e-04
+2022-09-17 20:47:49,847 INFO [train.py:885] (0/2) Epoch 10, batch 8100, loss[loss=0.3033, simple_loss=0.3724, pruned_loss=0.1171, over 14311.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03757, over 180.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3702, pruned_loss=0.1257, over 2776879.96 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07415, over 45690.43 utterances.], batch size: 180, lr: 4.53e-04
+2022-09-17 20:48:19,396 INFO [train.py:885] (0/2) Epoch 10, batch 8150, loss[loss=0.3684, simple_loss=0.4304, pruned_loss=0.1531, over 14026.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05453, over 365.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3675, pruned_loss=0.1242, over 2785337.47 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06931, over 43933.98 utterances.], batch size: 365, lr: 4.53e-04
+2022-09-17 20:48:48,921 INFO [train.py:885] (0/2) Epoch 10, batch 8200, loss[loss=0.3303, simple_loss=0.3923, pruned_loss=0.1341, over 14325.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03784, over 195.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3704, pruned_loss=0.125, over 2782866.13 frames. utt_duration=247 frames, utt_pad_proportion=0.06943, over 45344.87 utterances.], batch size: 195, lr: 4.53e-04
+2022-09-17 20:49:18,712 INFO [train.py:885] (0/2) Epoch 10, batch 8250, loss[loss=0.2006, simple_loss=0.249, pruned_loss=0.07609, over 12220.00 frames. utt_duration=2038 frames, utt_pad_proportion=0.162, over 24.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3729, pruned_loss=0.1262, over 2783461.23 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06987, over 46016.75 utterances.], batch size: 24, lr: 4.52e-04
+2022-09-17 20:49:47,687 INFO [train.py:885] (0/2) Epoch 10, batch 8300, loss[loss=0.2407, simple_loss=0.3059, pruned_loss=0.08782, over 14042.00 frames. utt_duration=712.2 frames, utt_pad_proportion=0.0567, over 79.00 utterances.], tot_loss[loss=0.3116, simple_loss=0.3722, pruned_loss=0.1255, over 2785758.18 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07021, over 46351.24 utterances.], batch size: 79, lr: 4.52e-04
+2022-09-17 20:50:16,672 INFO [train.py:885] (0/2) Epoch 10, batch 8350, loss[loss=0.1649, simple_loss=0.217, pruned_loss=0.0564, over 13125.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1133, over 33.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3728, pruned_loss=0.1261, over 2781243.27 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07105, over 46370.75 utterances.], batch size: 33, lr: 4.52e-04
+2022-09-17 20:50:46,409 INFO [train.py:885] (0/2) Epoch 10, batch 8400, loss[loss=0.1696, simple_loss=0.2184, pruned_loss=0.06038, over 13081.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1191, over 33.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.377, pruned_loss=0.1284, over 2782148.63 frames. utt_duration=235 frames, utt_pad_proportion=0.0727, over 47663.01 utterances.], batch size: 33, lr: 4.52e-04
+2022-09-17 20:51:16,015 INFO [train.py:885] (0/2) Epoch 10, batch 8450, loss[loss=0.2233, simple_loss=0.2913, pruned_loss=0.07763, over 14147.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.04863, over 89.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3731, pruned_loss=0.1266, over 2780623.45 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07247, over 46967.02 utterances.], batch size: 89, lr: 4.52e-04
+2022-09-17 20:51:45,957 INFO [train.py:885] (0/2) Epoch 10, batch 8500, loss[loss=0.4292, simple_loss=0.4903, pruned_loss=0.184, over 13662.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08101, over 478.00 utterances.], tot_loss[loss=0.3191, simple_loss=0.3779, pruned_loss=0.1301, over 2780234.39 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07219, over 48119.84 utterances.], batch size: 478, lr: 4.52e-04
+2022-09-17 20:52:14,977 INFO [train.py:885] (0/2) Epoch 10, batch 8550, loss[loss=0.3059, simple_loss=0.3757, pruned_loss=0.118, over 14372.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03482, over 210.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3754, pruned_loss=0.1277, over 2783799.44 frames. utt_duration=235.7 frames, utt_pad_proportion=0.06991, over 47538.66 utterances.], batch size: 210, lr: 4.52e-04
+2022-09-17 20:52:44,370 INFO [train.py:885] (0/2) Epoch 10, batch 8600, loss[loss=0.3341, simple_loss=0.3941, pruned_loss=0.1371, over 14310.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03825, over 210.00 utterances.], tot_loss[loss=0.3163, simple_loss=0.3754, pruned_loss=0.1286, over 2784875.32 frames. utt_duration=240.4 frames, utt_pad_proportion=0.06968, over 46631.67 utterances.], batch size: 210, lr: 4.52e-04
+2022-09-17 20:53:13,934 INFO [train.py:885] (0/2) Epoch 10, batch 8650, loss[loss=0.3395, simple_loss=0.4205, pruned_loss=0.1293, over 13800.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06976, over 411.00 utterances.], tot_loss[loss=0.317, simple_loss=0.377, pruned_loss=0.1284, over 2781394.19 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07299, over 48440.24 utterances.], batch size: 411, lr: 4.52e-04
+2022-09-17 20:53:43,445 INFO [train.py:885] (0/2) Epoch 10, batch 8700, loss[loss=0.353, simple_loss=0.4114, pruned_loss=0.1473, over 14323.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03809, over 283.00 utterances.], tot_loss[loss=0.3132, simple_loss=0.3731, pruned_loss=0.1266, over 2778654.93 frames. utt_duration=239.2 frames, utt_pad_proportion=0.0733, over 46763.34 utterances.], batch size: 283, lr: 4.52e-04
+2022-09-17 20:54:13,170 INFO [train.py:885] (0/2) Epoch 10, batch 8750, loss[loss=0.2842, simple_loss=0.3364, pruned_loss=0.116, over 14272.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.04017, over 130.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.3693, pruned_loss=0.1241, over 2777173.27 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07302, over 45197.57 utterances.], batch size: 130, lr: 4.52e-04
+2022-09-17 20:54:42,505 INFO [train.py:885] (0/2) Epoch 10, batch 8800, loss[loss=0.3371, simple_loss=0.3934, pruned_loss=0.1404, over 14315.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03898, over 262.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3653, pruned_loss=0.1231, over 2776881.72 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07377, over 43607.89 utterances.], batch size: 262, lr: 4.51e-04
+2022-09-17 20:55:12,109 INFO [train.py:885] (0/2) Epoch 10, batch 8850, loss[loss=0.4084, simple_loss=0.4372, pruned_loss=0.1898, over 14315.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03884, over 283.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3663, pruned_loss=0.1226, over 2776346.00 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07305, over 44379.24 utterances.], batch size: 283, lr: 4.51e-04
+2022-09-17 20:55:41,244 INFO [train.py:885] (0/2) Epoch 10, batch 8900, loss[loss=0.5779, simple_loss=0.6311, pruned_loss=0.2623, over 12476.00 frames. utt_duration=63.19 frames, utt_pad_proportion=0.1461, over 810.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3703, pruned_loss=0.1254, over 2777156.33 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07428, over 46215.80 utterances.], batch size: 810, lr: 4.51e-04
+2022-09-17 20:56:10,978 INFO [train.py:885] (0/2) Epoch 10, batch 8950, loss[loss=0.2746, simple_loss=0.3315, pruned_loss=0.1089, over 14104.00 frames. utt_duration=577.2 frames, utt_pad_proportion=0.05375, over 98.00 utterances.], tot_loss[loss=0.3116, simple_loss=0.3713, pruned_loss=0.1259, over 2780025.78 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07252, over 45704.32 utterances.], batch size: 98, lr: 4.51e-04
+2022-09-17 20:56:40,622 INFO [train.py:885] (0/2) Epoch 10, batch 9000, loss[loss=0.1763, simple_loss=0.2286, pruned_loss=0.06205, over 12225.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.176, over 24.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3706, pruned_loss=0.1248, over 2780179.36 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07202, over 45688.79 utterances.], batch size: 24, lr: 4.51e-04
+2022-09-17 20:56:40,623 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 20:56:44,765 INFO [train.py:914] (0/2) Epoch 10, validation: loss=0.2048, simple_loss=0.2816, pruned_loss=0.06403, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 20:57:14,371 INFO [train.py:885] (0/2) Epoch 10, batch 9050, loss[loss=0.3036, simple_loss=0.374, pruned_loss=0.1166, over 14353.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03305, over 244.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.37, pruned_loss=0.1247, over 2774662.97 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07398, over 46073.40 utterances.], batch size: 244, lr: 4.51e-04
+2022-09-17 20:57:43,583 INFO [train.py:885] (0/2) Epoch 10, batch 9100, loss[loss=0.214, simple_loss=0.2731, pruned_loss=0.07742, over 13808.00 frames. utt_duration=922 frames, utt_pad_proportion=0.07435, over 60.00 utterances.], tot_loss[loss=0.313, simple_loss=0.3726, pruned_loss=0.1267, over 2777443.41 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07336, over 46270.65 utterances.], batch size: 60, lr: 4.51e-04
+2022-09-17 20:58:13,351 INFO [train.py:885] (0/2) Epoch 10, batch 9150, loss[loss=0.2472, simple_loss=0.3245, pruned_loss=0.0849, over 14208.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.0426, over 109.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3723, pruned_loss=0.1262, over 2776053.94 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07455, over 46201.80 utterances.], batch size: 109, lr: 4.51e-04
+2022-09-17 20:58:42,304 INFO [train.py:885] (0/2) Epoch 10, batch 9200, loss[loss=0.1765, simple_loss=0.2382, pruned_loss=0.05739, over 13474.00 frames. utt_duration=1316 frames, utt_pad_proportion=0.08111, over 41.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.369, pruned_loss=0.1248, over 2773477.50 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07488, over 44481.78 utterances.], batch size: 41, lr: 4.51e-04
+2022-09-17 20:59:11,888 INFO [train.py:885] (0/2) Epoch 10, batch 9250, loss[loss=0.3307, simple_loss=0.3887, pruned_loss=0.1363, over 14282.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03957, over 225.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.3686, pruned_loss=0.1244, over 2777762.09 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07315, over 44149.35 utterances.], batch size: 225, lr: 4.51e-04
+2022-09-17 20:59:41,927 INFO [train.py:885] (0/2) Epoch 10, batch 9300, loss[loss=0.1968, simple_loss=0.2633, pruned_loss=0.06513, over 13557.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08669, over 50.00 utterances.], tot_loss[loss=0.3075, simple_loss=0.367, pruned_loss=0.124, over 2781915.64 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07015, over 43498.99 utterances.], batch size: 50, lr: 4.51e-04
+2022-09-17 21:00:11,803 INFO [train.py:885] (0/2) Epoch 10, batch 9350, loss[loss=0.3779, simple_loss=0.4182, pruned_loss=0.1688, over 14289.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.0409, over 283.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3678, pruned_loss=0.124, over 2782089.93 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06905, over 44078.79 utterances.], batch size: 283, lr: 4.50e-04
+2022-09-17 21:00:41,419 INFO [train.py:885] (0/2) Epoch 10, batch 9400, loss[loss=0.3438, simple_loss=0.4388, pruned_loss=0.1244, over 13646.00 frames. utt_duration=98.83 frames, utt_pad_proportion=0.07632, over 560.00 utterances.], tot_loss[loss=0.3104, simple_loss=0.3703, pruned_loss=0.1253, over 2779745.30 frames. utt_duration=247.8 frames, utt_pad_proportion=0.071, over 45142.40 utterances.], batch size: 560, lr: 4.50e-04
+2022-09-17 21:01:10,875 INFO [train.py:885] (0/2) Epoch 10, batch 9450, loss[loss=0.2582, simple_loss=0.3433, pruned_loss=0.08656, over 14325.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03768, over 210.00 utterances.], tot_loss[loss=0.312, simple_loss=0.3727, pruned_loss=0.1257, over 2775577.89 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07444, over 47169.08 utterances.], batch size: 210, lr: 4.50e-04
+2022-09-17 21:01:40,282 INFO [train.py:885] (0/2) Epoch 10, batch 9500, loss[loss=0.6743, simple_loss=0.6985, pruned_loss=0.325, over 12367.00 frames. utt_duration=62.62 frames, utt_pad_proportion=0.1538, over 810.00 utterances.], tot_loss[loss=0.3122, simple_loss=0.373, pruned_loss=0.1257, over 2776396.73 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07439, over 47398.41 utterances.], batch size: 810, lr: 4.50e-04
+2022-09-17 21:02:09,806 INFO [train.py:885] (0/2) Epoch 10, batch 9550, loss[loss=0.3522, simple_loss=0.4388, pruned_loss=0.1328, over 13676.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07803, over 477.00 utterances.], tot_loss[loss=0.3113, simple_loss=0.3723, pruned_loss=0.1251, over 2776633.67 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07421, over 47174.00 utterances.], batch size: 477, lr: 4.50e-04
+2022-09-17 21:02:39,721 INFO [train.py:885] (0/2) Epoch 10, batch 9600, loss[loss=0.2802, simple_loss=0.3328, pruned_loss=0.1138, over 14293.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.0426, over 120.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3746, pruned_loss=0.1262, over 2776707.79 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07488, over 48376.54 utterances.], batch size: 120, lr: 4.50e-04
+2022-09-17 21:03:08,924 INFO [train.py:885] (0/2) Epoch 10, batch 9650, loss[loss=0.3041, simple_loss=0.3589, pruned_loss=0.1246, over 14287.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.0421, over 154.00 utterances.], tot_loss[loss=0.3133, simple_loss=0.374, pruned_loss=0.1263, over 2781030.97 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07394, over 47943.53 utterances.], batch size: 154, lr: 4.50e-04
+2022-09-17 21:03:39,294 INFO [train.py:885] (0/2) Epoch 10, batch 9700, loss[loss=0.2857, simple_loss=0.3624, pruned_loss=0.1046, over 14253.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04201, over 225.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3727, pruned_loss=0.1255, over 2780047.69 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07167, over 47442.80 utterances.], batch size: 225, lr: 4.50e-04
+2022-09-17 21:04:09,185 INFO [train.py:885] (0/2) Epoch 10, batch 9750, loss[loss=0.3027, simple_loss=0.3602, pruned_loss=0.1226, over 14067.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05477, over 98.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3727, pruned_loss=0.1256, over 2784190.42 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07041, over 47400.27 utterances.], batch size: 98, lr: 4.50e-04
+2022-09-17 21:04:38,517 INFO [train.py:885] (0/2) Epoch 10, batch 9800, loss[loss=0.5596, simple_loss=0.6226, pruned_loss=0.2483, over 12501.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.145, over 810.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3759, pruned_loss=0.1269, over 2783228.91 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07108, over 48448.40 utterances.], batch size: 810, lr: 4.50e-04
+2022-09-17 21:05:07,326 INFO [train.py:885] (0/2) Epoch 10, batch 9850, loss[loss=0.3225, simple_loss=0.3825, pruned_loss=0.1313, over 14335.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0383, over 262.00 utterances.], tot_loss[loss=0.3089, simple_loss=0.3697, pruned_loss=0.124, over 2784104.22 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06905, over 45595.37 utterances.], batch size: 262, lr: 4.50e-04
+2022-09-17 21:05:37,561 INFO [train.py:885] (0/2) Epoch 10, batch 9900, loss[loss=0.3243, simple_loss=0.3778, pruned_loss=0.1354, over 14308.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03792, over 154.00 utterances.], tot_loss[loss=0.3107, simple_loss=0.3714, pruned_loss=0.1249, over 2776575.39 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07264, over 46641.27 utterances.], batch size: 154, lr: 4.49e-04
+2022-09-17 21:06:07,299 INFO [train.py:885] (0/2) Epoch 10, batch 9950, loss[loss=0.1762, simple_loss=0.2403, pruned_loss=0.05606, over 13607.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08084, over 50.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3754, pruned_loss=0.1271, over 2781356.62 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07186, over 47526.69 utterances.], batch size: 50, lr: 4.49e-04
+2022-09-17 21:06:36,379 INFO [train.py:885] (0/2) Epoch 10, batch 10000, loss[loss=0.2927, simple_loss=0.3676, pruned_loss=0.1089, over 14289.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03909, over 180.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3746, pruned_loss=0.1272, over 2787637.65 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07022, over 46410.29 utterances.], batch size: 180, lr: 4.49e-04
+2022-09-17 21:07:06,278 INFO [train.py:885] (0/2) Epoch 10, batch 10050, loss[loss=0.4048, simple_loss=0.477, pruned_loss=0.1663, over 13652.00 frames. utt_duration=98.94 frames, utt_pad_proportion=0.07532, over 560.00 utterances.], tot_loss[loss=0.3124, simple_loss=0.3721, pruned_loss=0.1264, over 2781871.67 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07108, over 45202.92 utterances.], batch size: 560, lr: 4.49e-04
+2022-09-17 21:07:35,836 INFO [train.py:885] (0/2) Epoch 10, batch 10100, loss[loss=0.3143, simple_loss=0.3921, pruned_loss=0.1182, over 13983.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05685, over 365.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3755, pruned_loss=0.1281, over 2782101.07 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07144, over 46525.51 utterances.], batch size: 365, lr: 4.49e-04
+2022-09-17 21:08:05,649 INFO [train.py:885] (0/2) Epoch 10, batch 10150, loss[loss=0.4254, simple_loss=0.4703, pruned_loss=0.1903, over 14005.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05541, over 365.00 utterances.], tot_loss[loss=0.3138, simple_loss=0.3731, pruned_loss=0.1273, over 2776470.29 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07112, over 45390.57 utterances.], batch size: 365, lr: 4.49e-04
+2022-09-17 21:08:34,698 INFO [train.py:885] (0/2) Epoch 10, batch 10200, loss[loss=0.3779, simple_loss=0.4504, pruned_loss=0.1527, over 13780.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07103, over 411.00 utterances.], tot_loss[loss=0.3146, simple_loss=0.3742, pruned_loss=0.1275, over 2777077.05 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0723, over 46009.13 utterances.], batch size: 411, lr: 4.49e-04
+2022-09-17 21:09:05,001 INFO [train.py:885] (0/2) Epoch 10, batch 10250, loss[loss=0.4323, simple_loss=0.5141, pruned_loss=0.1753, over 13203.00 frames. utt_duration=82.32 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3743, pruned_loss=0.1276, over 2778761.66 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07055, over 46249.91 utterances.], batch size: 653, lr: 4.49e-04
+2022-09-17 21:09:33,748 INFO [train.py:885] (0/2) Epoch 10, batch 10300, loss[loss=0.3466, simple_loss=0.3957, pruned_loss=0.1488, over 14370.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03649, over 244.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.373, pruned_loss=0.127, over 2778291.78 frames. utt_duration=243.6 frames, utt_pad_proportion=0.0707, over 45900.27 utterances.], batch size: 244, lr: 4.49e-04
+2022-09-17 21:10:03,335 INFO [train.py:885] (0/2) Epoch 10, batch 10350, loss[loss=0.2287, simple_loss=0.2938, pruned_loss=0.08182, over 13769.00 frames. utt_duration=919.4 frames, utt_pad_proportion=0.07319, over 60.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3703, pruned_loss=0.1256, over 2775860.42 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07223, over 44660.15 utterances.], batch size: 60, lr: 4.49e-04
+2022-09-17 21:10:33,143 INFO [train.py:885] (0/2) Epoch 10, batch 10400, loss[loss=0.333, simple_loss=0.3891, pruned_loss=0.1384, over 14282.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03987, over 225.00 utterances.], tot_loss[loss=0.3104, simple_loss=0.3698, pruned_loss=0.1255, over 2776628.10 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07101, over 44521.68 utterances.], batch size: 225, lr: 4.49e-04
+2022-09-17 21:10:44,803 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-124000.pt
+2022-09-17 21:11:02,737 INFO [train.py:885] (0/2) Epoch 10, batch 10450, loss[loss=0.1952, simple_loss=0.2684, pruned_loss=0.06106, over 13744.00 frames. utt_duration=917.8 frames, utt_pad_proportion=0.07478, over 60.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3704, pruned_loss=0.1254, over 2774718.44 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07308, over 45330.93 utterances.], batch size: 60, lr: 4.48e-04
+2022-09-17 21:11:32,536 INFO [train.py:885] (0/2) Epoch 10, batch 10500, loss[loss=0.1835, simple_loss=0.2483, pruned_loss=0.05938, over 13615.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08345, over 50.00 utterances.], tot_loss[loss=0.3133, simple_loss=0.3726, pruned_loss=0.127, over 2779677.99 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07192, over 45755.48 utterances.], batch size: 50, lr: 4.48e-04
+2022-09-17 21:12:01,931 INFO [train.py:885] (0/2) Epoch 10, batch 10550, loss[loss=0.2055, simple_loss=0.27, pruned_loss=0.07052, over 13661.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.08102, over 50.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3718, pruned_loss=0.1269, over 2777777.39 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07238, over 45742.67 utterances.], batch size: 50, lr: 4.48e-04
+2022-09-17 21:12:31,481 INFO [train.py:885] (0/2) Epoch 10, batch 10600, loss[loss=0.3591, simple_loss=0.4212, pruned_loss=0.1485, over 13984.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05718, over 365.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3743, pruned_loss=0.1286, over 2783090.00 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07149, over 45548.54 utterances.], batch size: 365, lr: 4.48e-04
+2022-09-17 21:13:00,535 INFO [train.py:885] (0/2) Epoch 10, batch 10650, loss[loss=0.3695, simple_loss=0.4133, pruned_loss=0.1628, over 14326.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03945, over 154.00 utterances.], tot_loss[loss=0.3124, simple_loss=0.3717, pruned_loss=0.1265, over 2784082.75 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07015, over 44878.23 utterances.], batch size: 154, lr: 4.48e-04
+2022-09-17 21:13:30,542 INFO [train.py:885] (0/2) Epoch 10, batch 10700, loss[loss=0.416, simple_loss=0.4752, pruned_loss=0.1784, over 13614.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08266, over 477.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3743, pruned_loss=0.1278, over 2782809.99 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07145, over 46205.98 utterances.], batch size: 477, lr: 4.48e-04
+2022-09-17 21:14:00,131 INFO [train.py:885] (0/2) Epoch 10, batch 10750, loss[loss=0.6796, simple_loss=0.7028, pruned_loss=0.3282, over 12442.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.3186, simple_loss=0.3785, pruned_loss=0.1293, over 2784620.69 frames. utt_duration=232 frames, utt_pad_proportion=0.07162, over 48312.18 utterances.], batch size: 810, lr: 4.48e-04
+2022-09-17 21:14:29,517 INFO [train.py:885] (0/2) Epoch 10, batch 10800, loss[loss=0.355, simple_loss=0.4159, pruned_loss=0.1471, over 14217.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04335, over 306.00 utterances.], tot_loss[loss=0.3134, simple_loss=0.3733, pruned_loss=0.1267, over 2784459.69 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07035, over 45848.12 utterances.], batch size: 306, lr: 4.48e-04
+2022-09-17 21:14:58,808 INFO [train.py:885] (0/2) Epoch 10, batch 10850, loss[loss=0.207, simple_loss=0.2688, pruned_loss=0.07263, over 13784.00 frames. utt_duration=920.1 frames, utt_pad_proportion=0.07251, over 60.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3713, pruned_loss=0.1253, over 2782779.50 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07102, over 45424.12 utterances.], batch size: 60, lr: 4.48e-04
+2022-09-17 21:15:29,444 INFO [train.py:885] (0/2) Epoch 10, batch 10900, loss[loss=0.1982, simple_loss=0.2619, pruned_loss=0.06726, over 13863.00 frames. utt_duration=925.8 frames, utt_pad_proportion=0.07052, over 60.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3721, pruned_loss=0.1249, over 2781778.88 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07233, over 46496.06 utterances.], batch size: 60, lr: 4.48e-04
+2022-09-17 21:15:58,289 INFO [train.py:885] (0/2) Epoch 10, batch 10950, loss[loss=0.2206, simple_loss=0.2869, pruned_loss=0.07715, over 13861.00 frames. utt_duration=703.4 frames, utt_pad_proportion=0.06588, over 79.00 utterances.], tot_loss[loss=0.3114, simple_loss=0.3729, pruned_loss=0.1249, over 2783184.87 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07229, over 47353.95 utterances.], batch size: 79, lr: 4.48e-04
+2022-09-17 21:16:28,094 INFO [train.py:885] (0/2) Epoch 10, batch 11000, loss[loss=0.3162, simple_loss=0.392, pruned_loss=0.1202, over 14016.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05488, over 365.00 utterances.], tot_loss[loss=0.3144, simple_loss=0.3755, pruned_loss=0.1267, over 2781203.41 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07179, over 48381.28 utterances.], batch size: 365, lr: 4.47e-04
+2022-09-17 21:16:57,426 INFO [train.py:885] (0/2) Epoch 10, batch 11050, loss[loss=0.1786, simple_loss=0.2458, pruned_loss=0.05566, over 12105.00 frames. utt_duration=2019 frames, utt_pad_proportion=0.1732, over 24.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3726, pruned_loss=0.1247, over 2779945.68 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07115, over 46992.59 utterances.], batch size: 24, lr: 4.47e-04
+2022-09-17 21:17:26,618 INFO [train.py:885] (0/2) Epoch 10, batch 11100, loss[loss=0.2485, simple_loss=0.3197, pruned_loss=0.08867, over 14154.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04602, over 109.00 utterances.], tot_loss[loss=0.3062, simple_loss=0.3675, pruned_loss=0.1225, over 2777151.20 frames. utt_duration=247 frames, utt_pad_proportion=0.07081, over 45243.98 utterances.], batch size: 109, lr: 4.47e-04
+2022-09-17 21:17:55,570 INFO [train.py:885] (0/2) Epoch 10, batch 11150, loss[loss=0.2138, simple_loss=0.2797, pruned_loss=0.07392, over 14063.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05521, over 98.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3647, pruned_loss=0.1207, over 2779470.55 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06938, over 44171.86 utterances.], batch size: 98, lr: 4.47e-04
+2022-09-17 21:18:25,509 INFO [train.py:885] (0/2) Epoch 10, batch 11200, loss[loss=0.2544, simple_loss=0.3157, pruned_loss=0.09658, over 13840.00 frames. utt_duration=803.7 frames, utt_pad_proportion=0.06329, over 69.00 utterances.], tot_loss[loss=0.3069, simple_loss=0.3679, pruned_loss=0.123, over 2779587.90 frames. utt_duration=246 frames, utt_pad_proportion=0.07061, over 45476.53 utterances.], batch size: 69, lr: 4.47e-04
+2022-09-17 21:18:55,202 INFO [train.py:885] (0/2) Epoch 10, batch 11250, loss[loss=0.2407, simple_loss=0.3041, pruned_loss=0.08871, over 14068.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05474, over 98.00 utterances.], tot_loss[loss=0.3085, simple_loss=0.369, pruned_loss=0.124, over 2777230.51 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07285, over 45722.07 utterances.], batch size: 98, lr: 4.47e-04
+2022-09-17 21:19:25,021 INFO [train.py:885] (0/2) Epoch 10, batch 11300, loss[loss=0.3931, simple_loss=0.4339, pruned_loss=0.1762, over 14280.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.03997, over 335.00 utterances.], tot_loss[loss=0.3124, simple_loss=0.3728, pruned_loss=0.126, over 2781995.00 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07265, over 46902.82 utterances.], batch size: 335, lr: 4.47e-04
+2022-09-17 21:19:54,168 INFO [train.py:885] (0/2) Epoch 10, batch 11350, loss[loss=0.2154, simple_loss=0.277, pruned_loss=0.07692, over 14022.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.0537, over 79.00 utterances.], tot_loss[loss=0.3107, simple_loss=0.3708, pruned_loss=0.1253, over 2782325.36 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07165, over 45662.83 utterances.], batch size: 79, lr: 4.47e-04
+2022-09-17 21:20:22,968 INFO [train.py:885] (0/2) Epoch 10, batch 11400, loss[loss=0.1525, simple_loss=0.2117, pruned_loss=0.04664, over 12286.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1794, over 24.00 utterances.], tot_loss[loss=0.309, simple_loss=0.3692, pruned_loss=0.1244, over 2782739.37 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06954, over 44487.73 utterances.], batch size: 24, lr: 4.47e-04
+2022-09-17 21:20:53,013 INFO [train.py:885] (0/2) Epoch 10, batch 11450, loss[loss=0.318, simple_loss=0.4041, pruned_loss=0.1159, over 14023.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05463, over 365.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3721, pruned_loss=0.125, over 2779909.43 frames. utt_duration=239.1 frames, utt_pad_proportion=0.0711, over 46787.43 utterances.], batch size: 365, lr: 4.47e-04
+2022-09-17 21:21:22,371 INFO [train.py:885] (0/2) Epoch 10, batch 11500, loss[loss=0.2085, simple_loss=0.2799, pruned_loss=0.06854, over 13801.00 frames. utt_duration=921.6 frames, utt_pad_proportion=0.07472, over 60.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3735, pruned_loss=0.1259, over 2778872.85 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07106, over 47126.77 utterances.], batch size: 60, lr: 4.47e-04
+2022-09-17 21:21:52,662 INFO [train.py:885] (0/2) Epoch 10, batch 11550, loss[loss=0.3471, simple_loss=0.4379, pruned_loss=0.1282, over 13636.00 frames. utt_duration=98.83 frames, utt_pad_proportion=0.07635, over 560.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3708, pruned_loss=0.1243, over 2777130.59 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07199, over 47003.62 utterances.], batch size: 560, lr: 4.46e-04
+2022-09-17 21:22:20,906 INFO [train.py:885] (0/2) Epoch 10, batch 11600, loss[loss=0.2896, simple_loss=0.3519, pruned_loss=0.1137, over 14196.00 frames. utt_duration=404 frames, utt_pad_proportion=0.04946, over 141.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3661, pruned_loss=0.1217, over 2779325.33 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07004, over 44034.95 utterances.], batch size: 141, lr: 4.46e-04
+2022-09-17 21:23:05,904 INFO [train.py:885] (0/2) Epoch 10, batch 11650, loss[loss=0.4796, simple_loss=0.5438, pruned_loss=0.2077, over 13143.00 frames. utt_duration=82.08 frames, utt_pad_proportion=0.1078, over 653.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3666, pruned_loss=0.1221, over 2778083.37 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07025, over 44491.81 utterances.], batch size: 653, lr: 4.46e-04
+2022-09-17 21:23:35,507 INFO [train.py:885] (0/2) Epoch 10, batch 11700, loss[loss=0.3291, simple_loss=0.3927, pruned_loss=0.1327, over 14259.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04165, over 225.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3666, pruned_loss=0.122, over 2775741.34 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07368, over 44971.32 utterances.], batch size: 225, lr: 4.46e-04
+2022-09-17 21:24:05,513 INFO [train.py:885] (0/2) Epoch 10, batch 11750, loss[loss=0.2771, simple_loss=0.3478, pruned_loss=0.1032, over 14366.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03451, over 195.00 utterances.], tot_loss[loss=0.3075, simple_loss=0.3689, pruned_loss=0.1231, over 2772423.43 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07479, over 46442.63 utterances.], batch size: 195, lr: 4.46e-04
+2022-09-17 21:24:34,550 INFO [train.py:885] (0/2) Epoch 10, batch 11800, loss[loss=0.2351, simple_loss=0.3009, pruned_loss=0.08468, over 13996.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.06093, over 79.00 utterances.], tot_loss[loss=0.3109, simple_loss=0.3714, pruned_loss=0.1252, over 2777208.39 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07355, over 46485.68 utterances.], batch size: 79, lr: 4.46e-04
+2022-09-17 21:25:04,425 INFO [train.py:885] (0/2) Epoch 10, batch 11850, loss[loss=0.3469, simple_loss=0.4132, pruned_loss=0.1403, over 14183.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04585, over 306.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3724, pruned_loss=0.1255, over 2777246.16 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07265, over 47053.95 utterances.], batch size: 306, lr: 4.46e-04
+2022-09-17 21:25:33,756 INFO [train.py:885] (0/2) Epoch 10, batch 11900, loss[loss=0.4637, simple_loss=0.4797, pruned_loss=0.2238, over 14242.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04247, over 335.00 utterances.], tot_loss[loss=0.315, simple_loss=0.3755, pruned_loss=0.1273, over 2775609.24 frames. utt_duration=228.1 frames, utt_pad_proportion=0.07514, over 49000.64 utterances.], batch size: 335, lr: 4.46e-04
+2022-09-17 21:26:03,647 INFO [train.py:885] (0/2) Epoch 10, batch 11950, loss[loss=0.2289, simple_loss=0.3061, pruned_loss=0.07586, over 14158.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04565, over 109.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3724, pruned_loss=0.125, over 2778812.25 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07352, over 47526.62 utterances.], batch size: 109, lr: 4.46e-04
+2022-09-17 21:26:33,126 INFO [train.py:885] (0/2) Epoch 10, batch 12000, loss[loss=0.5754, simple_loss=0.6406, pruned_loss=0.2551, over 12410.00 frames. utt_duration=62.88 frames, utt_pad_proportion=0.1503, over 810.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3721, pruned_loss=0.1251, over 2780120.62 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07284, over 47319.59 utterances.], batch size: 810, lr: 4.46e-04
+2022-09-17 21:26:33,127 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 21:26:37,743 INFO [train.py:914] (0/2) Epoch 10, validation: loss=0.2085, simple_loss=0.2859, pruned_loss=0.06557, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 21:27:06,707 INFO [train.py:885] (0/2) Epoch 10, batch 12050, loss[loss=0.3715, simple_loss=0.412, pruned_loss=0.1655, over 14277.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04062, over 225.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3704, pruned_loss=0.1236, over 2782720.54 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07266, over 46649.93 utterances.], batch size: 225, lr: 4.46e-04
+2022-09-17 21:27:35,201 INFO [train.py:885] (0/2) Epoch 10, batch 12100, loss[loss=0.245, simple_loss=0.2997, pruned_loss=0.09513, over 14191.00 frames. utt_duration=580.8 frames, utt_pad_proportion=0.04636, over 98.00 utterances.], tot_loss[loss=0.3063, simple_loss=0.3677, pruned_loss=0.1225, over 2783135.67 frames. utt_duration=247.7 frames, utt_pad_proportion=0.071, over 45214.19 utterances.], batch size: 98, lr: 4.45e-04
+2022-09-17 21:28:05,998 INFO [train.py:885] (0/2) Epoch 10, batch 12150, loss[loss=0.3107, simple_loss=0.3747, pruned_loss=0.1233, over 14289.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03934, over 180.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3724, pruned_loss=0.125, over 2782321.87 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07299, over 47370.64 utterances.], batch size: 180, lr: 4.45e-04
+2022-09-17 21:28:35,749 INFO [train.py:885] (0/2) Epoch 10, batch 12200, loss[loss=0.4211, simple_loss=0.4888, pruned_loss=0.1768, over 13605.00 frames. utt_duration=98.59 frames, utt_pad_proportion=0.07859, over 560.00 utterances.], tot_loss[loss=0.3137, simple_loss=0.374, pruned_loss=0.1267, over 2777391.89 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07455, over 48290.39 utterances.], batch size: 560, lr: 4.45e-04
+2022-09-17 21:29:05,183 INFO [train.py:885] (0/2) Epoch 10, batch 12250, loss[loss=0.4435, simple_loss=0.471, pruned_loss=0.208, over 14247.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04244, over 335.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3706, pruned_loss=0.1249, over 2773791.36 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07484, over 47264.67 utterances.], batch size: 335, lr: 4.45e-04
+2022-09-17 21:29:34,692 INFO [train.py:885] (0/2) Epoch 10, batch 12300, loss[loss=0.169, simple_loss=0.236, pruned_loss=0.05103, over 13074.00 frames. utt_duration=2013 frames, utt_pad_proportion=0.1101, over 26.00 utterances.], tot_loss[loss=0.308, simple_loss=0.3682, pruned_loss=0.1239, over 2777235.50 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07283, over 45627.51 utterances.], batch size: 26, lr: 4.45e-04
+2022-09-17 21:30:03,742 INFO [train.py:885] (0/2) Epoch 10, batch 12350, loss[loss=0.3175, simple_loss=0.3827, pruned_loss=0.1262, over 14365.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03282, over 244.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.3688, pruned_loss=0.1243, over 2781943.40 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07204, over 45154.54 utterances.], batch size: 244, lr: 4.45e-04
+2022-09-17 21:30:40,356 INFO [train.py:885] (0/2) Epoch 10, batch 12400, loss[loss=0.2692, simple_loss=0.3352, pruned_loss=0.1015, over 14332.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03953, over 167.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3695, pruned_loss=0.1249, over 2780808.14 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07286, over 45247.01 utterances.], batch size: 167, lr: 4.45e-04
+2022-09-17 21:31:10,668 INFO [train.py:885] (0/2) Epoch 10, batch 12450, loss[loss=0.415, simple_loss=0.4907, pruned_loss=0.1697, over 13187.00 frames. utt_duration=82.35 frames, utt_pad_proportion=0.1049, over 653.00 utterances.], tot_loss[loss=0.317, simple_loss=0.377, pruned_loss=0.1285, over 2782038.79 frames. utt_duration=231.4 frames, utt_pad_proportion=0.0722, over 48399.25 utterances.], batch size: 653, lr: 4.45e-04
+2022-09-17 21:31:39,842 INFO [train.py:885] (0/2) Epoch 10, batch 12500, loss[loss=0.3681, simple_loss=0.4126, pruned_loss=0.1618, over 14379.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03195, over 244.00 utterances.], tot_loss[loss=0.3142, simple_loss=0.3745, pruned_loss=0.1269, over 2779996.53 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07205, over 47711.23 utterances.], batch size: 244, lr: 4.45e-04
+2022-09-17 21:32:09,090 INFO [train.py:885] (0/2) Epoch 10, batch 12550, loss[loss=0.3273, simple_loss=0.4144, pruned_loss=0.1201, over 13815.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06918, over 411.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3771, pruned_loss=0.1287, over 2779679.73 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07338, over 47744.43 utterances.], batch size: 411, lr: 4.45e-04
+2022-09-17 21:32:37,416 INFO [train.py:885] (0/2) Epoch 10, batch 12600, loss[loss=0.3048, simple_loss=0.3722, pruned_loss=0.1187, over 14303.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03827, over 180.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3763, pruned_loss=0.1283, over 2782861.93 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07177, over 47376.14 utterances.], batch size: 180, lr: 4.45e-04
+2022-09-17 21:32:48,113 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-10.pt
+2022-09-17 21:32:56,465 INFO [train.py:885] (0/2) Epoch 11, batch 0, loss[loss=0.2598, simple_loss=0.3344, pruned_loss=0.09261, over 14260.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04096, over 130.00 utterances.], tot_loss[loss=0.2598, simple_loss=0.3344, pruned_loss=0.09261, over 14260.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04096, over 130.00 utterances.], batch size: 130, lr: 4.28e-04
+2022-09-17 21:33:27,098 INFO [train.py:885] (0/2) Epoch 11, batch 50, loss[loss=0.3679, simple_loss=0.4099, pruned_loss=0.1629, over 14312.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03832, over 180.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3487, pruned_loss=0.1136, over 629446.45 frames. utt_duration=292.5 frames, utt_pad_proportion=0.05669, over 8650.02 utterances.], batch size: 180, lr: 4.28e-04
+2022-09-17 21:33:56,776 INFO [train.py:885] (0/2) Epoch 11, batch 100, loss[loss=0.3012, simple_loss=0.3933, pruned_loss=0.1045, over 13747.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07314, over 411.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3483, pruned_loss=0.1126, over 1103251.54 frames. utt_duration=289.7 frames, utt_pad_proportion=0.06473, over 15308.36 utterances.], batch size: 411, lr: 4.28e-04
+2022-09-17 21:34:26,091 INFO [train.py:885] (0/2) Epoch 11, batch 150, loss[loss=0.2222, simple_loss=0.3012, pruned_loss=0.07161, over 14043.00 frames. utt_duration=712.5 frames, utt_pad_proportion=0.0563, over 79.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3644, pruned_loss=0.1196, over 1474599.39 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07208, over 23900.29 utterances.], batch size: 79, lr: 4.28e-04
+2022-09-17 21:34:55,918 INFO [train.py:885] (0/2) Epoch 11, batch 200, loss[loss=0.3096, simple_loss=0.3665, pruned_loss=0.1264, over 14349.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03876, over 167.00 utterances.], tot_loss[loss=0.304, simple_loss=0.3663, pruned_loss=0.1209, over 1763128.22 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07137, over 28658.38 utterances.], batch size: 167, lr: 4.28e-04
+2022-09-17 21:35:25,933 INFO [train.py:885] (0/2) Epoch 11, batch 250, loss[loss=0.246, simple_loss=0.3113, pruned_loss=0.09036, over 14082.00 frames. utt_duration=576.2 frames, utt_pad_proportion=0.05385, over 98.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.3718, pruned_loss=0.1235, over 1982313.16 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07526, over 33789.07 utterances.], batch size: 98, lr: 4.28e-04
+2022-09-17 21:35:54,910 INFO [train.py:885] (0/2) Epoch 11, batch 300, loss[loss=0.2419, simple_loss=0.3065, pruned_loss=0.08869, over 14133.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.04737, over 109.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3706, pruned_loss=0.1223, over 2156977.55 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07636, over 36921.18 utterances.], batch size: 109, lr: 4.28e-04
+2022-09-17 21:36:24,887 INFO [train.py:885] (0/2) Epoch 11, batch 350, loss[loss=0.2063, simple_loss=0.2819, pruned_loss=0.06538, over 12448.00 frames. utt_duration=2076 frames, utt_pad_proportion=0.1567, over 24.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3693, pruned_loss=0.1229, over 2291204.64 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07543, over 38359.50 utterances.], batch size: 24, lr: 4.28e-04
+2022-09-17 21:36:54,082 INFO [train.py:885] (0/2) Epoch 11, batch 400, loss[loss=0.3211, simple_loss=0.3826, pruned_loss=0.1299, over 14262.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04125, over 180.00 utterances.], tot_loss[loss=0.3072, simple_loss=0.3696, pruned_loss=0.1224, over 2404081.84 frames. utt_duration=240 frames, utt_pad_proportion=0.07393, over 40319.90 utterances.], batch size: 180, lr: 4.27e-04
+2022-09-17 21:37:23,801 INFO [train.py:885] (0/2) Epoch 11, batch 450, loss[loss=0.197, simple_loss=0.2456, pruned_loss=0.07418, over 12502.00 frames. utt_duration=2085 frames, utt_pad_proportion=0.1575, over 24.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3687, pruned_loss=0.1229, over 2489003.34 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07087, over 40612.68 utterances.], batch size: 24, lr: 4.27e-04
+2022-09-17 21:37:53,857 INFO [train.py:885] (0/2) Epoch 11, batch 500, loss[loss=0.4126, simple_loss=0.4912, pruned_loss=0.167, over 13141.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3727, pruned_loss=0.1256, over 2548452.02 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07476, over 43665.07 utterances.], batch size: 653, lr: 4.27e-04
+2022-09-17 21:38:23,685 INFO [train.py:885] (0/2) Epoch 11, batch 550, loss[loss=0.2783, simple_loss=0.3318, pruned_loss=0.1124, over 14212.00 frames. utt_duration=523.1 frames, utt_pad_proportion=0.04202, over 109.00 utterances.], tot_loss[loss=0.3126, simple_loss=0.3734, pruned_loss=0.1259, over 2601035.46 frames. utt_duration=238 frames, utt_pad_proportion=0.07447, over 43996.13 utterances.], batch size: 109, lr: 4.27e-04
+2022-09-17 21:38:53,061 INFO [train.py:885] (0/2) Epoch 11, batch 600, loss[loss=0.3494, simple_loss=0.4032, pruned_loss=0.1478, over 14202.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04405, over 306.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3699, pruned_loss=0.1246, over 2637121.08 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07414, over 43004.34 utterances.], batch size: 306, lr: 4.27e-04
+2022-09-17 21:39:22,769 INFO [train.py:885] (0/2) Epoch 11, batch 650, loss[loss=0.2462, simple_loss=0.3049, pruned_loss=0.09378, over 14197.00 frames. utt_duration=639.6 frames, utt_pad_proportion=0.04541, over 89.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3667, pruned_loss=0.1235, over 2670409.73 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07113, over 42059.52 utterances.], batch size: 89, lr: 4.27e-04
+2022-09-17 21:39:52,282 INFO [train.py:885] (0/2) Epoch 11, batch 700, loss[loss=0.3666, simple_loss=0.4327, pruned_loss=0.1502, over 13995.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.0568, over 365.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3695, pruned_loss=0.1248, over 2700388.04 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07028, over 43048.47 utterances.], batch size: 365, lr: 4.27e-04
+2022-09-17 21:40:21,826 INFO [train.py:885] (0/2) Epoch 11, batch 750, loss[loss=0.2492, simple_loss=0.3273, pruned_loss=0.08549, over 14304.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03951, over 120.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3669, pruned_loss=0.1224, over 2719236.72 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06938, over 43541.55 utterances.], batch size: 120, lr: 4.27e-04
+2022-09-17 21:40:51,868 INFO [train.py:885] (0/2) Epoch 11, batch 800, loss[loss=0.2487, simple_loss=0.3121, pruned_loss=0.09263, over 14059.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05698, over 98.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3653, pruned_loss=0.1211, over 2727798.10 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07107, over 44043.82 utterances.], batch size: 98, lr: 4.27e-04
+2022-09-17 21:41:21,066 INFO [train.py:885] (0/2) Epoch 11, batch 850, loss[loss=0.1761, simple_loss=0.2397, pruned_loss=0.05623, over 13340.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08828, over 41.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3648, pruned_loss=0.1212, over 2736185.62 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07114, over 44150.23 utterances.], batch size: 41, lr: 4.27e-04
+2022-09-17 21:41:50,555 INFO [train.py:885] (0/2) Epoch 11, batch 900, loss[loss=0.3773, simple_loss=0.4178, pruned_loss=0.1684, over 14329.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03785, over 283.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3675, pruned_loss=0.123, over 2749986.38 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06907, over 44307.65 utterances.], batch size: 283, lr: 4.27e-04
+2022-09-17 21:42:19,850 INFO [train.py:885] (0/2) Epoch 11, batch 950, loss[loss=0.4089, simple_loss=0.4403, pruned_loss=0.1888, over 14296.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03859, over 180.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.367, pruned_loss=0.1232, over 2762961.36 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06735, over 43388.32 utterances.], batch size: 180, lr: 4.27e-04
+2022-09-17 21:42:49,212 INFO [train.py:885] (0/2) Epoch 11, batch 1000, loss[loss=0.2355, simple_loss=0.3023, pruned_loss=0.08435, over 13080.00 frames. utt_duration=2014 frames, utt_pad_proportion=0.1246, over 26.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3679, pruned_loss=0.1237, over 2764289.90 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06908, over 44007.40 utterances.], batch size: 26, lr: 4.26e-04
+2022-09-17 21:43:18,501 INFO [train.py:885] (0/2) Epoch 11, batch 1050, loss[loss=0.2483, simple_loss=0.3231, pruned_loss=0.08671, over 14075.00 frames. utt_duration=576.1 frames, utt_pad_proportion=0.05397, over 98.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3652, pruned_loss=0.1219, over 2769402.06 frames. utt_duration=259 frames, utt_pad_proportion=0.06646, over 43013.45 utterances.], batch size: 98, lr: 4.26e-04
+2022-09-17 21:43:48,167 INFO [train.py:885] (0/2) Epoch 11, batch 1100, loss[loss=0.4712, simple_loss=0.4821, pruned_loss=0.2302, over 14257.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04261, over 335.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3711, pruned_loss=0.1256, over 2770142.57 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06869, over 45236.06 utterances.], batch size: 335, lr: 4.26e-04
+2022-09-17 21:44:17,484 INFO [train.py:885] (0/2) Epoch 11, batch 1150, loss[loss=0.3475, simple_loss=0.4067, pruned_loss=0.1441, over 14360.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03549, over 210.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.3681, pruned_loss=0.1247, over 2777013.07 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06794, over 43388.26 utterances.], batch size: 210, lr: 4.26e-04
+2022-09-17 21:44:47,406 INFO [train.py:885] (0/2) Epoch 11, batch 1200, loss[loss=0.1842, simple_loss=0.2444, pruned_loss=0.06196, over 13344.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08979, over 41.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3665, pruned_loss=0.1234, over 2777749.43 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06771, over 43451.94 utterances.], batch size: 41, lr: 4.26e-04
+2022-09-17 21:45:16,374 INFO [train.py:885] (0/2) Epoch 11, batch 1250, loss[loss=0.4036, simple_loss=0.4386, pruned_loss=0.1843, over 14270.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04064, over 335.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3696, pruned_loss=0.1254, over 2780862.36 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06645, over 44179.00 utterances.], batch size: 335, lr: 4.26e-04
+2022-09-17 21:45:46,356 INFO [train.py:885] (0/2) Epoch 11, batch 1300, loss[loss=0.3796, simple_loss=0.4628, pruned_loss=0.1482, over 13663.00 frames. utt_duration=99.01 frames, utt_pad_proportion=0.07463, over 560.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3714, pruned_loss=0.1254, over 2783171.34 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06689, over 45030.84 utterances.], batch size: 560, lr: 4.26e-04
+2022-09-17 21:46:15,401 INFO [train.py:885] (0/2) Epoch 11, batch 1350, loss[loss=0.3848, simple_loss=0.4271, pruned_loss=0.1713, over 14319.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03863, over 262.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3701, pruned_loss=0.1251, over 2785469.36 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06549, over 44490.29 utterances.], batch size: 262, lr: 4.26e-04
+2022-09-17 21:46:44,946 INFO [train.py:885] (0/2) Epoch 11, batch 1400, loss[loss=0.2135, simple_loss=0.2799, pruned_loss=0.07358, over 13989.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.05977, over 79.00 utterances.], tot_loss[loss=0.3129, simple_loss=0.3731, pruned_loss=0.1263, over 2786876.08 frames. utt_duration=244.7 frames, utt_pad_proportion=0.0672, over 45828.05 utterances.], batch size: 79, lr: 4.26e-04
+2022-09-17 21:47:14,807 INFO [train.py:885] (0/2) Epoch 11, batch 1450, loss[loss=0.3709, simple_loss=0.4552, pruned_loss=0.1433, over 13611.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07867, over 560.00 utterances.], tot_loss[loss=0.3099, simple_loss=0.3709, pruned_loss=0.1244, over 2780726.14 frames. utt_duration=240 frames, utt_pad_proportion=0.07025, over 46636.43 utterances.], batch size: 560, lr: 4.26e-04
+2022-09-17 21:47:44,107 INFO [train.py:885] (0/2) Epoch 11, batch 1500, loss[loss=0.1768, simple_loss=0.2394, pruned_loss=0.05708, over 13357.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08686, over 41.00 utterances.], tot_loss[loss=0.3061, simple_loss=0.367, pruned_loss=0.1227, over 2780515.36 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06887, over 44989.34 utterances.], batch size: 41, lr: 4.26e-04
+2022-09-17 21:48:13,412 INFO [train.py:885] (0/2) Epoch 11, batch 1550, loss[loss=0.2156, simple_loss=0.2915, pruned_loss=0.06992, over 13463.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09343, over 50.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3652, pruned_loss=0.1217, over 2779393.54 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06882, over 44272.50 utterances.], batch size: 50, lr: 4.26e-04
+2022-09-17 21:48:43,138 INFO [train.py:885] (0/2) Epoch 11, batch 1600, loss[loss=0.3713, simple_loss=0.4407, pruned_loss=0.151, over 14009.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05491, over 365.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3664, pruned_loss=0.1225, over 2779852.22 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07061, over 44253.70 utterances.], batch size: 365, lr: 4.25e-04
+2022-09-17 21:49:13,002 INFO [train.py:885] (0/2) Epoch 11, batch 1650, loss[loss=0.1832, simple_loss=0.2545, pruned_loss=0.05595, over 13119.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1083, over 33.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3721, pruned_loss=0.1258, over 2777563.84 frames. utt_duration=239 frames, utt_pad_proportion=0.07345, over 46765.87 utterances.], batch size: 33, lr: 4.25e-04
+2022-09-17 21:49:42,705 INFO [train.py:885] (0/2) Epoch 11, batch 1700, loss[loss=0.1974, simple_loss=0.2733, pruned_loss=0.06076, over 13455.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.08745, over 50.00 utterances.], tot_loss[loss=0.3139, simple_loss=0.3744, pruned_loss=0.1267, over 2777961.17 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07534, over 47422.77 utterances.], batch size: 50, lr: 4.25e-04
+2022-09-17 21:50:11,773 INFO [train.py:885] (0/2) Epoch 11, batch 1750, loss[loss=0.3883, simple_loss=0.4592, pruned_loss=0.1587, over 13716.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07511, over 411.00 utterances.], tot_loss[loss=0.3099, simple_loss=0.3704, pruned_loss=0.1247, over 2776619.94 frames. utt_duration=243.5 frames, utt_pad_proportion=0.0753, over 45893.70 utterances.], batch size: 411, lr: 4.25e-04
+2022-09-17 21:50:41,832 INFO [train.py:885] (0/2) Epoch 11, batch 1800, loss[loss=0.1854, simple_loss=0.2467, pruned_loss=0.06203, over 13864.00 frames. utt_duration=925.7 frames, utt_pad_proportion=0.07057, over 60.00 utterances.], tot_loss[loss=0.3104, simple_loss=0.3704, pruned_loss=0.1252, over 2773139.09 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07537, over 45760.02 utterances.], batch size: 60, lr: 4.25e-04
+2022-09-17 21:50:42,478 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-128000.pt
+2022-09-17 21:51:12,071 INFO [train.py:885] (0/2) Epoch 11, batch 1850, loss[loss=0.1581, simple_loss=0.2225, pruned_loss=0.04682, over 13284.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.1055, over 33.00 utterances.], tot_loss[loss=0.3092, simple_loss=0.3693, pruned_loss=0.1245, over 2775045.42 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07384, over 45740.36 utterances.], batch size: 33, lr: 4.25e-04
+2022-09-17 21:51:41,053 INFO [train.py:885] (0/2) Epoch 11, batch 1900, loss[loss=0.2351, simple_loss=0.2982, pruned_loss=0.08602, over 14136.00 frames. utt_duration=578.4 frames, utt_pad_proportion=0.05032, over 98.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3663, pruned_loss=0.1228, over 2778591.01 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07266, over 44201.15 utterances.], batch size: 98, lr: 4.25e-04
+2022-09-17 21:52:10,587 INFO [train.py:885] (0/2) Epoch 11, batch 1950, loss[loss=0.2629, simple_loss=0.3261, pruned_loss=0.09982, over 14205.00 frames. utt_duration=522.6 frames, utt_pad_proportion=0.04281, over 109.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.3699, pruned_loss=0.1244, over 2783477.75 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06993, over 45654.37 utterances.], batch size: 109, lr: 4.25e-04
+2022-09-17 21:52:39,813 INFO [train.py:885] (0/2) Epoch 11, batch 2000, loss[loss=0.1957, simple_loss=0.2604, pruned_loss=0.06552, over 13554.00 frames. utt_duration=1324 frames, utt_pad_proportion=0.07482, over 41.00 utterances.], tot_loss[loss=0.3113, simple_loss=0.3714, pruned_loss=0.1256, over 2785281.79 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07021, over 46165.14 utterances.], batch size: 41, lr: 4.25e-04
+2022-09-17 21:53:09,761 INFO [train.py:885] (0/2) Epoch 11, batch 2050, loss[loss=0.2606, simple_loss=0.3336, pruned_loss=0.09374, over 14295.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04118, over 154.00 utterances.], tot_loss[loss=0.3136, simple_loss=0.3736, pruned_loss=0.1268, over 2783061.90 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07248, over 46771.33 utterances.], batch size: 154, lr: 4.25e-04
+2022-09-17 21:53:39,686 INFO [train.py:885] (0/2) Epoch 11, batch 2100, loss[loss=0.4297, simple_loss=0.504, pruned_loss=0.1777, over 13144.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1085, over 653.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3749, pruned_loss=0.1274, over 2781848.41 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07239, over 47929.04 utterances.], batch size: 653, lr: 4.25e-04
+2022-09-17 21:54:10,030 INFO [train.py:885] (0/2) Epoch 11, batch 2150, loss[loss=0.3961, simple_loss=0.4393, pruned_loss=0.1764, over 14332.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.03638, over 180.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3769, pruned_loss=0.1281, over 2783176.52 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07159, over 48063.52 utterances.], batch size: 180, lr: 4.25e-04
+2022-09-17 21:54:38,649 INFO [train.py:885] (0/2) Epoch 11, batch 2200, loss[loss=0.3866, simple_loss=0.4535, pruned_loss=0.1599, over 13819.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07021, over 412.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3733, pruned_loss=0.1262, over 2781404.56 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07178, over 47091.71 utterances.], batch size: 412, lr: 4.24e-04
+2022-09-17 21:55:07,744 INFO [train.py:885] (0/2) Epoch 11, batch 2250, loss[loss=0.4099, simple_loss=0.4447, pruned_loss=0.1875, over 14224.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04372, over 306.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.3709, pruned_loss=0.1243, over 2782098.66 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07042, over 46717.30 utterances.], batch size: 306, lr: 4.24e-04
+2022-09-17 21:55:38,020 INFO [train.py:885] (0/2) Epoch 11, batch 2300, loss[loss=0.3839, simple_loss=0.4215, pruned_loss=0.1731, over 14301.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04003, over 262.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3745, pruned_loss=0.1263, over 2779423.35 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07179, over 47999.50 utterances.], batch size: 262, lr: 4.24e-04
+2022-09-17 21:56:07,219 INFO [train.py:885] (0/2) Epoch 11, batch 2350, loss[loss=0.3199, simple_loss=0.3899, pruned_loss=0.1249, over 14348.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03382, over 244.00 utterances.], tot_loss[loss=0.3118, simple_loss=0.3729, pruned_loss=0.1253, over 2777551.27 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07265, over 47452.72 utterances.], batch size: 244, lr: 4.24e-04
+2022-09-17 21:56:37,155 INFO [train.py:885] (0/2) Epoch 11, batch 2400, loss[loss=0.2938, simple_loss=0.3639, pruned_loss=0.1118, over 14220.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04788, over 141.00 utterances.], tot_loss[loss=0.3133, simple_loss=0.3744, pruned_loss=0.1261, over 2780051.86 frames. utt_duration=234 frames, utt_pad_proportion=0.07357, over 47824.45 utterances.], batch size: 141, lr: 4.24e-04
+2022-09-17 21:57:06,580 INFO [train.py:885] (0/2) Epoch 11, batch 2450, loss[loss=0.1817, simple_loss=0.242, pruned_loss=0.06068, over 13084.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1192, over 33.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3742, pruned_loss=0.1257, over 2780014.38 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07413, over 47563.66 utterances.], batch size: 33, lr: 4.24e-04
+2022-09-17 21:57:35,926 INFO [train.py:885] (0/2) Epoch 11, batch 2500, loss[loss=0.3456, simple_loss=0.4005, pruned_loss=0.1453, over 14283.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04153, over 262.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3736, pruned_loss=0.1255, over 2781465.03 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07205, over 47394.12 utterances.], batch size: 262, lr: 4.24e-04
+2022-09-17 21:58:11,956 INFO [train.py:885] (0/2) Epoch 11, batch 2550, loss[loss=0.2115, simple_loss=0.2635, pruned_loss=0.07974, over 13161.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.1056, over 33.00 utterances.], tot_loss[loss=0.3124, simple_loss=0.3734, pruned_loss=0.1257, over 2782545.11 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07315, over 47105.84 utterances.], batch size: 33, lr: 4.24e-04
+2022-09-17 21:58:41,614 INFO [train.py:885] (0/2) Epoch 11, batch 2600, loss[loss=0.2613, simple_loss=0.3286, pruned_loss=0.09703, over 14292.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.0419, over 154.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3739, pruned_loss=0.1262, over 2781799.82 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07385, over 46982.74 utterances.], batch size: 154, lr: 4.24e-04
+2022-09-17 21:59:10,778 INFO [train.py:885] (0/2) Epoch 11, batch 2650, loss[loss=0.2817, simple_loss=0.3597, pruned_loss=0.1019, over 14359.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03833, over 167.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.375, pruned_loss=0.1268, over 2780115.52 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07345, over 47397.40 utterances.], batch size: 167, lr: 4.24e-04
+2022-09-17 21:59:40,922 INFO [train.py:885] (0/2) Epoch 11, batch 2700, loss[loss=0.2777, simple_loss=0.3455, pruned_loss=0.105, over 14230.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04656, over 141.00 utterances.], tot_loss[loss=0.3137, simple_loss=0.3741, pruned_loss=0.1266, over 2783128.84 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07204, over 46633.38 utterances.], batch size: 141, lr: 4.24e-04
+2022-09-17 22:00:10,898 INFO [train.py:885] (0/2) Epoch 11, batch 2750, loss[loss=0.2575, simple_loss=0.3154, pruned_loss=0.0998, over 14167.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04478, over 109.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3694, pruned_loss=0.1246, over 2775861.39 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07206, over 44603.50 utterances.], batch size: 109, lr: 4.24e-04
+2022-09-17 22:00:40,061 INFO [train.py:885] (0/2) Epoch 11, batch 2800, loss[loss=0.2261, simple_loss=0.2969, pruned_loss=0.07763, over 14043.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.0568, over 98.00 utterances.], tot_loss[loss=0.3086, simple_loss=0.3695, pruned_loss=0.1238, over 2775922.38 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07189, over 45362.52 utterances.], batch size: 98, lr: 4.23e-04
+2022-09-17 22:01:09,219 INFO [train.py:885] (0/2) Epoch 11, batch 2850, loss[loss=0.3416, simple_loss=0.3764, pruned_loss=0.1534, over 14344.00 frames. utt_duration=479.5 frames, utt_pad_proportion=0.0371, over 120.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.3705, pruned_loss=0.1245, over 2778745.15 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07116, over 45911.31 utterances.], batch size: 120, lr: 4.23e-04
+2022-09-17 22:01:39,173 INFO [train.py:885] (0/2) Epoch 11, batch 2900, loss[loss=0.3038, simple_loss=0.3605, pruned_loss=0.1236, over 14324.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03835, over 120.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3725, pruned_loss=0.1243, over 2777624.69 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07284, over 47828.02 utterances.], batch size: 120, lr: 4.23e-04
+2022-09-17 22:02:08,971 INFO [train.py:885] (0/2) Epoch 11, batch 2950, loss[loss=0.2436, simple_loss=0.2868, pruned_loss=0.1002, over 13838.00 frames. utt_duration=924.1 frames, utt_pad_proportion=0.07221, over 60.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3682, pruned_loss=0.1229, over 2780327.36 frames. utt_duration=245 frames, utt_pad_proportion=0.07258, over 45675.56 utterances.], batch size: 60, lr: 4.23e-04
+2022-09-17 22:02:38,245 INFO [train.py:885] (0/2) Epoch 11, batch 3000, loss[loss=0.4636, simple_loss=0.4775, pruned_loss=0.2248, over 14376.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03453, over 195.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3699, pruned_loss=0.1238, over 2776890.80 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07313, over 46859.94 utterances.], batch size: 195, lr: 4.23e-04
+2022-09-17 22:02:38,246 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 22:02:42,980 INFO [train.py:914] (0/2) Epoch 11, validation: loss=0.1964, simple_loss=0.2746, pruned_loss=0.05905, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 22:03:12,755 INFO [train.py:885] (0/2) Epoch 11, batch 3050, loss[loss=0.2433, simple_loss=0.3135, pruned_loss=0.08654, over 14236.00 frames. utt_duration=641.2 frames, utt_pad_proportion=0.04446, over 89.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3709, pruned_loss=0.1257, over 2777575.35 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07374, over 46315.48 utterances.], batch size: 89, lr: 4.23e-04
+2022-09-17 22:03:42,832 INFO [train.py:885] (0/2) Epoch 11, batch 3100, loss[loss=0.196, simple_loss=0.2537, pruned_loss=0.06919, over 13481.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09239, over 50.00 utterances.], tot_loss[loss=0.3115, simple_loss=0.3714, pruned_loss=0.1258, over 2770928.11 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07634, over 47228.75 utterances.], batch size: 50, lr: 4.23e-04
+2022-09-17 22:04:12,041 INFO [train.py:885] (0/2) Epoch 11, batch 3150, loss[loss=0.2149, simple_loss=0.2606, pruned_loss=0.08453, over 12254.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.18, over 24.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3663, pruned_loss=0.1229, over 2771811.29 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07436, over 45179.34 utterances.], batch size: 24, lr: 4.23e-04
+2022-09-17 22:04:41,946 INFO [train.py:885] (0/2) Epoch 11, batch 3200, loss[loss=0.2708, simple_loss=0.3536, pruned_loss=0.09396, over 14297.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04245, over 141.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3655, pruned_loss=0.1224, over 2774608.85 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07169, over 44784.80 utterances.], batch size: 141, lr: 4.23e-04
+2022-09-17 22:05:11,240 INFO [train.py:885] (0/2) Epoch 11, batch 3250, loss[loss=0.4006, simple_loss=0.4882, pruned_loss=0.1565, over 13170.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3706, pruned_loss=0.1249, over 2774473.12 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07356, over 46750.82 utterances.], batch size: 653, lr: 4.23e-04
+2022-09-17 22:05:40,385 INFO [train.py:885] (0/2) Epoch 11, batch 3300, loss[loss=0.3013, simple_loss=0.3669, pruned_loss=0.1178, over 14370.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03252, over 244.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3715, pruned_loss=0.1248, over 2783258.76 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07072, over 46327.49 utterances.], batch size: 244, lr: 4.23e-04
+2022-09-17 22:06:09,522 INFO [train.py:885] (0/2) Epoch 11, batch 3350, loss[loss=0.2588, simple_loss=0.2916, pruned_loss=0.113, over 14292.00 frames. utt_duration=643.8 frames, utt_pad_proportion=0.04192, over 89.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.3691, pruned_loss=0.1242, over 2786160.64 frames. utt_duration=249 frames, utt_pad_proportion=0.06947, over 45017.14 utterances.], batch size: 89, lr: 4.23e-04
+2022-09-17 22:06:39,565 INFO [train.py:885] (0/2) Epoch 11, batch 3400, loss[loss=0.2593, simple_loss=0.3228, pruned_loss=0.09788, over 14188.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.0436, over 109.00 utterances.], tot_loss[loss=0.3144, simple_loss=0.3746, pruned_loss=0.1271, over 2789076.12 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07141, over 46705.48 utterances.], batch size: 109, lr: 4.23e-04
+2022-09-17 22:07:09,308 INFO [train.py:885] (0/2) Epoch 11, batch 3450, loss[loss=0.3256, simple_loss=0.3789, pruned_loss=0.1362, over 14288.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.04314, over 141.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3734, pruned_loss=0.126, over 2787794.73 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07276, over 46672.45 utterances.], batch size: 141, lr: 4.22e-04
+2022-09-17 22:07:39,042 INFO [train.py:885] (0/2) Epoch 11, batch 3500, loss[loss=0.2174, simple_loss=0.2749, pruned_loss=0.07992, over 13589.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.09098, over 42.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3717, pruned_loss=0.1247, over 2783512.45 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07477, over 46813.46 utterances.], batch size: 42, lr: 4.22e-04
+2022-09-17 22:08:08,199 INFO [train.py:885] (0/2) Epoch 11, batch 3550, loss[loss=0.3255, simple_loss=0.3862, pruned_loss=0.1324, over 14306.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03935, over 283.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3714, pruned_loss=0.1253, over 2783844.97 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07336, over 46643.16 utterances.], batch size: 283, lr: 4.22e-04
+2022-09-17 22:08:37,851 INFO [train.py:885] (0/2) Epoch 11, batch 3600, loss[loss=0.3733, simple_loss=0.426, pruned_loss=0.1603, over 14247.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04264, over 335.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3695, pruned_loss=0.124, over 2781659.03 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07195, over 46182.65 utterances.], batch size: 335, lr: 4.22e-04
+2022-09-17 22:09:06,801 INFO [train.py:885] (0/2) Epoch 11, batch 3650, loss[loss=0.5361, simple_loss=0.6103, pruned_loss=0.2309, over 12561.00 frames. utt_duration=63.5 frames, utt_pad_proportion=0.1419, over 811.00 utterances.], tot_loss[loss=0.309, simple_loss=0.3695, pruned_loss=0.1243, over 2784232.90 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07158, over 45711.71 utterances.], batch size: 811, lr: 4.22e-04
+2022-09-17 22:09:36,807 INFO [train.py:885] (0/2) Epoch 11, batch 3700, loss[loss=0.5901, simple_loss=0.6432, pruned_loss=0.2685, over 12531.00 frames. utt_duration=63.44 frames, utt_pad_proportion=0.1427, over 810.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3717, pruned_loss=0.1252, over 2786153.98 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07082, over 46440.04 utterances.], batch size: 810, lr: 4.22e-04
+2022-09-17 22:10:07,090 INFO [train.py:885] (0/2) Epoch 11, batch 3750, loss[loss=0.2203, simple_loss=0.2803, pruned_loss=0.08014, over 14047.00 frames. utt_duration=712.6 frames, utt_pad_proportion=0.05617, over 79.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3691, pruned_loss=0.1229, over 2786109.25 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06983, over 45535.55 utterances.], batch size: 79, lr: 4.22e-04
+2022-09-17 22:10:35,918 INFO [train.py:885] (0/2) Epoch 11, batch 3800, loss[loss=0.2673, simple_loss=0.3378, pruned_loss=0.09842, over 14327.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03996, over 167.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3675, pruned_loss=0.1222, over 2783255.83 frames. utt_duration=247 frames, utt_pad_proportion=0.07108, over 45343.58 utterances.], batch size: 167, lr: 4.22e-04
+2022-09-17 22:11:05,831 INFO [train.py:885] (0/2) Epoch 11, batch 3850, loss[loss=0.3043, simple_loss=0.382, pruned_loss=0.1133, over 14284.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.041, over 283.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.365, pruned_loss=0.1207, over 2780453.08 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07067, over 44428.43 utterances.], batch size: 283, lr: 4.22e-04
+2022-09-17 22:11:35,337 INFO [train.py:885] (0/2) Epoch 11, batch 3900, loss[loss=0.2987, simple_loss=0.3691, pruned_loss=0.1142, over 14338.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03384, over 195.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3688, pruned_loss=0.122, over 2780594.46 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07131, over 46334.16 utterances.], batch size: 195, lr: 4.22e-04
+2022-09-17 22:12:04,979 INFO [train.py:885] (0/2) Epoch 11, batch 3950, loss[loss=0.4258, simple_loss=0.463, pruned_loss=0.1943, over 14225.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04394, over 335.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3681, pruned_loss=0.1219, over 2783111.96 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06928, over 46026.85 utterances.], batch size: 335, lr: 4.22e-04
+2022-09-17 22:12:34,776 INFO [train.py:885] (0/2) Epoch 11, batch 4000, loss[loss=0.2914, simple_loss=0.3539, pruned_loss=0.1145, over 14347.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03908, over 167.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3694, pruned_loss=0.1223, over 2780057.34 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07149, over 47181.49 utterances.], batch size: 167, lr: 4.22e-04
+2022-09-17 22:13:04,053 INFO [train.py:885] (0/2) Epoch 11, batch 4050, loss[loss=0.2042, simple_loss=0.2715, pruned_loss=0.06843, over 13675.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.08012, over 50.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3685, pruned_loss=0.1217, over 2778765.37 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07357, over 46564.34 utterances.], batch size: 50, lr: 4.21e-04
+2022-09-17 22:13:33,455 INFO [train.py:885] (0/2) Epoch 11, batch 4100, loss[loss=0.3992, simple_loss=0.4367, pruned_loss=0.1808, over 14378.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03589, over 244.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3675, pruned_loss=0.1215, over 2776979.75 frames. utt_duration=244 frames, utt_pad_proportion=0.07195, over 45797.80 utterances.], batch size: 244, lr: 4.21e-04
+2022-09-17 22:14:03,839 INFO [train.py:885] (0/2) Epoch 11, batch 4150, loss[loss=0.3479, simple_loss=0.4043, pruned_loss=0.1457, over 14238.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.0424, over 306.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3644, pruned_loss=0.119, over 2779655.28 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07102, over 44894.63 utterances.], batch size: 306, lr: 4.21e-04
+2022-09-17 22:14:32,524 INFO [train.py:885] (0/2) Epoch 11, batch 4200, loss[loss=0.4207, simple_loss=0.4862, pruned_loss=0.1776, over 13791.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06998, over 411.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.3631, pruned_loss=0.119, over 2782292.58 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06966, over 44132.84 utterances.], batch size: 411, lr: 4.21e-04
+2022-09-17 22:15:03,410 INFO [train.py:885] (0/2) Epoch 11, batch 4250, loss[loss=0.2174, simple_loss=0.2734, pruned_loss=0.08064, over 13503.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.09087, over 50.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.365, pruned_loss=0.1191, over 2784693.28 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06921, over 45131.50 utterances.], batch size: 50, lr: 4.21e-04
+2022-09-17 22:15:32,861 INFO [train.py:885] (0/2) Epoch 11, batch 4300, loss[loss=0.5379, simple_loss=0.5737, pruned_loss=0.2511, over 13180.00 frames. utt_duration=82.32 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3694, pruned_loss=0.1217, over 2784951.90 frames. utt_duration=241.4 frames, utt_pad_proportion=0.0712, over 46433.46 utterances.], batch size: 653, lr: 4.21e-04
+2022-09-17 22:16:02,408 INFO [train.py:885] (0/2) Epoch 11, batch 4350, loss[loss=0.303, simple_loss=0.3683, pruned_loss=0.1188, over 14348.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03745, over 262.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3682, pruned_loss=0.1207, over 2786985.58 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07086, over 46441.35 utterances.], batch size: 262, lr: 4.21e-04
+2022-09-17 22:16:31,684 INFO [train.py:885] (0/2) Epoch 11, batch 4400, loss[loss=0.1934, simple_loss=0.2606, pruned_loss=0.06308, over 13380.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.08724, over 41.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3675, pruned_loss=0.1211, over 2785003.39 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07158, over 45603.05 utterances.], batch size: 41, lr: 4.21e-04
+2022-09-17 22:17:00,957 INFO [train.py:885] (0/2) Epoch 11, batch 4450, loss[loss=0.3735, simple_loss=0.4583, pruned_loss=0.1443, over 13539.00 frames. utt_duration=98.13 frames, utt_pad_proportion=0.08291, over 560.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3644, pruned_loss=0.1199, over 2784995.52 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06984, over 44092.17 utterances.], batch size: 560, lr: 4.21e-04
+2022-09-17 22:17:30,044 INFO [train.py:885] (0/2) Epoch 11, batch 4500, loss[loss=0.271, simple_loss=0.3403, pruned_loss=0.1009, over 14005.00 frames. utt_duration=573.1 frames, utt_pad_proportion=0.05891, over 98.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3674, pruned_loss=0.1222, over 2786818.90 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0692, over 45115.26 utterances.], batch size: 98, lr: 4.21e-04
+2022-09-17 22:17:59,522 INFO [train.py:885] (0/2) Epoch 11, batch 4550, loss[loss=0.4651, simple_loss=0.5328, pruned_loss=0.1987, over 13203.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1048, over 653.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3636, pruned_loss=0.12, over 2789221.80 frames. utt_duration=258 frames, utt_pad_proportion=0.06731, over 43498.09 utterances.], batch size: 653, lr: 4.21e-04
+2022-09-17 22:18:28,787 INFO [train.py:885] (0/2) Epoch 11, batch 4600, loss[loss=0.255, simple_loss=0.3341, pruned_loss=0.08797, over 14339.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03608, over 154.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3645, pruned_loss=0.1204, over 2785674.25 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06852, over 43862.87 utterances.], batch size: 154, lr: 4.21e-04
+2022-09-17 22:18:58,667 INFO [train.py:885] (0/2) Epoch 11, batch 4650, loss[loss=0.3138, simple_loss=0.3822, pruned_loss=0.1227, over 14384.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03402, over 210.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3661, pruned_loss=0.1223, over 2788007.07 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06679, over 43731.63 utterances.], batch size: 210, lr: 4.20e-04
+2022-09-17 22:19:27,605 INFO [train.py:885] (0/2) Epoch 11, batch 4700, loss[loss=0.3552, simple_loss=0.4008, pruned_loss=0.1548, over 14355.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03621, over 210.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3683, pruned_loss=0.1228, over 2788243.06 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06833, over 45732.86 utterances.], batch size: 210, lr: 4.20e-04
+2022-09-17 22:19:57,269 INFO [train.py:885] (0/2) Epoch 11, batch 4750, loss[loss=0.2168, simple_loss=0.2856, pruned_loss=0.07406, over 14006.00 frames. utt_duration=710.5 frames, utt_pad_proportion=0.059, over 79.00 utterances.], tot_loss[loss=0.3082, simple_loss=0.3695, pruned_loss=0.1235, over 2790577.56 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06861, over 45905.55 utterances.], batch size: 79, lr: 4.20e-04
+2022-09-17 22:20:26,630 INFO [train.py:885] (0/2) Epoch 11, batch 4800, loss[loss=0.2679, simple_loss=0.3229, pruned_loss=0.1065, over 13607.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.07914, over 50.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3656, pruned_loss=0.121, over 2785643.85 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07028, over 44531.16 utterances.], batch size: 50, lr: 4.20e-04
+2022-09-17 22:20:56,653 INFO [train.py:885] (0/2) Epoch 11, batch 4850, loss[loss=0.5667, simple_loss=0.6342, pruned_loss=0.2496, over 12447.00 frames. utt_duration=63.05 frames, utt_pad_proportion=0.1479, over 810.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.369, pruned_loss=0.1232, over 2781124.71 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07339, over 45602.72 utterances.], batch size: 810, lr: 4.20e-04
+2022-09-17 22:21:25,784 INFO [train.py:885] (0/2) Epoch 11, batch 4900, loss[loss=0.2397, simple_loss=0.2959, pruned_loss=0.09175, over 13621.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08308, over 50.00 utterances.], tot_loss[loss=0.3115, simple_loss=0.3724, pruned_loss=0.1253, over 2783168.05 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07231, over 46371.35 utterances.], batch size: 50, lr: 4.20e-04
+2022-09-17 22:21:55,700 INFO [train.py:885] (0/2) Epoch 11, batch 4950, loss[loss=0.3215, simple_loss=0.4184, pruned_loss=0.1123, over 13609.00 frames. utt_duration=98.56 frames, utt_pad_proportion=0.07886, over 560.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3707, pruned_loss=0.1241, over 2783780.22 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07083, over 45974.30 utterances.], batch size: 560, lr: 4.20e-04
+2022-09-17 22:22:25,128 INFO [train.py:885] (0/2) Epoch 11, batch 5000, loss[loss=0.3723, simple_loss=0.4224, pruned_loss=0.1611, over 14223.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04419, over 335.00 utterances.], tot_loss[loss=0.3065, simple_loss=0.368, pruned_loss=0.1225, over 2788138.46 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06858, over 45259.86 utterances.], batch size: 335, lr: 4.20e-04
+2022-09-17 22:22:57,179 INFO [train.py:885] (0/2) Epoch 11, batch 5050, loss[loss=0.4056, simple_loss=0.4751, pruned_loss=0.1681, over 13652.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07965, over 477.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.372, pruned_loss=0.1252, over 2787070.21 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07001, over 46804.68 utterances.], batch size: 477, lr: 4.20e-04
+2022-09-17 22:23:27,062 INFO [train.py:885] (0/2) Epoch 11, batch 5100, loss[loss=0.3167, simple_loss=0.3784, pruned_loss=0.1275, over 14257.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04501, over 141.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3736, pruned_loss=0.126, over 2785514.86 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07233, over 47203.66 utterances.], batch size: 141, lr: 4.20e-04
+2022-09-17 22:23:56,445 INFO [train.py:885] (0/2) Epoch 11, batch 5150, loss[loss=0.2304, simple_loss=0.2679, pruned_loss=0.09639, over 13189.00 frames. utt_duration=1553 frames, utt_pad_proportion=0.1159, over 34.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3691, pruned_loss=0.1239, over 2783651.05 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07187, over 45598.51 utterances.], batch size: 34, lr: 4.20e-04
+2022-09-17 22:24:26,112 INFO [train.py:885] (0/2) Epoch 11, batch 5200, loss[loss=0.3123, simple_loss=0.3654, pruned_loss=0.1296, over 14348.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.03551, over 154.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3677, pruned_loss=0.123, over 2782304.58 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07195, over 45906.78 utterances.], batch size: 154, lr: 4.20e-04
+2022-09-17 22:24:55,785 INFO [train.py:885] (0/2) Epoch 11, batch 5250, loss[loss=0.2072, simple_loss=0.2816, pruned_loss=0.06641, over 14150.00 frames. utt_duration=637.3 frames, utt_pad_proportion=0.04875, over 89.00 utterances.], tot_loss[loss=0.3071, simple_loss=0.3683, pruned_loss=0.123, over 2781445.36 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07186, over 46421.32 utterances.], batch size: 89, lr: 4.20e-04
+2022-09-17 22:25:25,598 INFO [train.py:885] (0/2) Epoch 11, batch 5300, loss[loss=0.3168, simple_loss=0.4204, pruned_loss=0.1066, over 13625.00 frames. utt_duration=98.69 frames, utt_pad_proportion=0.07765, over 560.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3719, pruned_loss=0.1246, over 2777476.61 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07285, over 48176.39 utterances.], batch size: 560, lr: 4.19e-04
+2022-09-17 22:25:54,926 INFO [train.py:885] (0/2) Epoch 11, batch 5350, loss[loss=0.3695, simple_loss=0.4165, pruned_loss=0.1612, over 14216.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04417, over 306.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3691, pruned_loss=0.1224, over 2779398.61 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07138, over 47753.88 utterances.], batch size: 306, lr: 4.19e-04
+2022-09-17 22:26:24,958 INFO [train.py:885] (0/2) Epoch 11, batch 5400, loss[loss=0.1837, simple_loss=0.2552, pruned_loss=0.05607, over 13843.00 frames. utt_duration=924.3 frames, utt_pad_proportion=0.06545, over 60.00 utterances.], tot_loss[loss=0.3062, simple_loss=0.3683, pruned_loss=0.1221, over 2780509.64 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07151, over 46844.26 utterances.], batch size: 60, lr: 4.19e-04
+2022-09-17 22:26:54,023 INFO [train.py:885] (0/2) Epoch 11, batch 5450, loss[loss=0.2386, simple_loss=0.3018, pruned_loss=0.08768, over 14129.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.04745, over 109.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3688, pruned_loss=0.1223, over 2781137.45 frames. utt_duration=239 frames, utt_pad_proportion=0.07062, over 46831.29 utterances.], batch size: 109, lr: 4.19e-04
+2022-09-17 22:27:23,654 INFO [train.py:885] (0/2) Epoch 11, batch 5500, loss[loss=0.2889, simple_loss=0.3583, pruned_loss=0.1097, over 14359.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03576, over 210.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3677, pruned_loss=0.1221, over 2782503.24 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07114, over 45666.85 utterances.], batch size: 210, lr: 4.19e-04
+2022-09-17 22:27:53,799 INFO [train.py:885] (0/2) Epoch 11, batch 5550, loss[loss=0.3885, simple_loss=0.4613, pruned_loss=0.1579, over 13634.00 frames. utt_duration=98.71 frames, utt_pad_proportion=0.07744, over 560.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3701, pruned_loss=0.1238, over 2787736.36 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06748, over 46134.12 utterances.], batch size: 560, lr: 4.19e-04
+2022-09-17 22:28:22,058 INFO [train.py:885] (0/2) Epoch 11, batch 5600, loss[loss=0.4168, simple_loss=0.5048, pruned_loss=0.1643, over 13110.00 frames. utt_duration=81.91 frames, utt_pad_proportion=0.1097, over 653.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.367, pruned_loss=0.1221, over 2780694.98 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07011, over 44925.73 utterances.], batch size: 653, lr: 4.19e-04
+2022-09-17 22:28:52,299 INFO [train.py:885] (0/2) Epoch 11, batch 5650, loss[loss=0.1619, simple_loss=0.2066, pruned_loss=0.05857, over 13234.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1124, over 33.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3689, pruned_loss=0.1229, over 2782466.82 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07105, over 46159.25 utterances.], batch size: 33, lr: 4.19e-04
+2022-09-17 22:29:22,102 INFO [train.py:885] (0/2) Epoch 11, batch 5700, loss[loss=0.1717, simple_loss=0.2326, pruned_loss=0.0554, over 13425.00 frames. utt_duration=2067 frames, utt_pad_proportion=0.08627, over 26.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3674, pruned_loss=0.1222, over 2781607.46 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07187, over 45540.42 utterances.], batch size: 26, lr: 4.19e-04
+2022-09-17 22:29:51,658 INFO [train.py:885] (0/2) Epoch 11, batch 5750, loss[loss=0.2888, simple_loss=0.3636, pruned_loss=0.107, over 14283.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03978, over 180.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3698, pruned_loss=0.1235, over 2781487.34 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07261, over 46574.95 utterances.], batch size: 180, lr: 4.19e-04
+2022-09-17 22:30:20,867 INFO [train.py:885] (0/2) Epoch 11, batch 5800, loss[loss=0.3142, simple_loss=0.3783, pruned_loss=0.1251, over 14328.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.0379, over 195.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3677, pruned_loss=0.122, over 2779739.42 frames. utt_duration=241.1 frames, utt_pad_proportion=0.0723, over 46400.99 utterances.], batch size: 195, lr: 4.19e-04
+2022-09-17 22:30:21,582 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-132000.pt
+2022-09-17 22:30:50,611 INFO [train.py:885] (0/2) Epoch 11, batch 5850, loss[loss=0.1958, simple_loss=0.2588, pruned_loss=0.06642, over 12330.00 frames. utt_duration=2056 frames, utt_pad_proportion=0.1702, over 24.00 utterances.], tot_loss[loss=0.31, simple_loss=0.371, pruned_loss=0.1245, over 2775926.64 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07312, over 46638.39 utterances.], batch size: 24, lr: 4.19e-04
+2022-09-17 22:31:20,020 INFO [train.py:885] (0/2) Epoch 11, batch 5900, loss[loss=0.2327, simple_loss=0.2899, pruned_loss=0.08776, over 14180.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04446, over 109.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3667, pruned_loss=0.1224, over 2778429.72 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07076, over 44583.65 utterances.], batch size: 109, lr: 4.18e-04
+2022-09-17 22:31:49,796 INFO [train.py:885] (0/2) Epoch 11, batch 5950, loss[loss=0.399, simple_loss=0.468, pruned_loss=0.165, over 13764.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07198, over 411.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3724, pruned_loss=0.1248, over 2775334.51 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07406, over 47851.39 utterances.], batch size: 411, lr: 4.18e-04
+2022-09-17 22:32:19,702 INFO [train.py:885] (0/2) Epoch 11, batch 6000, loss[loss=0.3265, simple_loss=0.3964, pruned_loss=0.1283, over 14340.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03835, over 262.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3675, pruned_loss=0.1222, over 2778052.40 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07105, over 45955.15 utterances.], batch size: 262, lr: 4.18e-04
+2022-09-17 22:32:19,704 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 22:32:24,489 INFO [train.py:914] (0/2) Epoch 11, validation: loss=0.2073, simple_loss=0.2838, pruned_loss=0.06541, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 22:32:54,101 INFO [train.py:885] (0/2) Epoch 11, batch 6050, loss[loss=0.3413, simple_loss=0.4152, pruned_loss=0.1337, over 13818.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07057, over 412.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3663, pruned_loss=0.1214, over 2778957.47 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07073, over 45318.82 utterances.], batch size: 412, lr: 4.18e-04
+2022-09-17 22:33:24,194 INFO [train.py:885] (0/2) Epoch 11, batch 6100, loss[loss=0.2392, simple_loss=0.2899, pruned_loss=0.09419, over 12169.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1878, over 24.00 utterances.], tot_loss[loss=0.305, simple_loss=0.3669, pruned_loss=0.1215, over 2777338.29 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07189, over 45715.99 utterances.], batch size: 24, lr: 4.18e-04
+2022-09-17 22:33:53,758 INFO [train.py:885] (0/2) Epoch 11, batch 6150, loss[loss=0.4379, simple_loss=0.5149, pruned_loss=0.1804, over 13159.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1071, over 653.00 utterances.], tot_loss[loss=0.3066, simple_loss=0.3689, pruned_loss=0.1221, over 2777059.56 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07179, over 46589.77 utterances.], batch size: 653, lr: 4.18e-04
+2022-09-17 22:34:22,945 INFO [train.py:885] (0/2) Epoch 11, batch 6200, loss[loss=0.2724, simple_loss=0.3445, pruned_loss=0.1001, over 14312.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.04165, over 141.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3699, pruned_loss=0.1231, over 2778851.24 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07001, over 46382.28 utterances.], batch size: 141, lr: 4.18e-04
+2022-09-17 22:34:52,836 INFO [train.py:885] (0/2) Epoch 11, batch 6250, loss[loss=0.3056, simple_loss=0.3929, pruned_loss=0.1092, over 13795.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06988, over 411.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3693, pruned_loss=0.1228, over 2779050.51 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07016, over 46337.49 utterances.], batch size: 411, lr: 4.18e-04
+2022-09-17 22:35:22,671 INFO [train.py:885] (0/2) Epoch 11, batch 6300, loss[loss=0.2216, simple_loss=0.3, pruned_loss=0.07155, over 14150.00 frames. utt_duration=578.9 frames, utt_pad_proportion=0.04946, over 98.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3703, pruned_loss=0.123, over 2777908.99 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07008, over 46627.78 utterances.], batch size: 98, lr: 4.18e-04
+2022-09-17 22:35:52,245 INFO [train.py:885] (0/2) Epoch 11, batch 6350, loss[loss=0.2743, simple_loss=0.3512, pruned_loss=0.09872, over 14283.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04339, over 141.00 utterances.], tot_loss[loss=0.3086, simple_loss=0.37, pruned_loss=0.1236, over 2776403.70 frames. utt_duration=241.6 frames, utt_pad_proportion=0.0721, over 46257.46 utterances.], batch size: 141, lr: 4.18e-04
+2022-09-17 22:36:20,651 INFO [train.py:885] (0/2) Epoch 11, batch 6400, loss[loss=0.2786, simple_loss=0.3498, pruned_loss=0.1037, over 14290.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.039, over 130.00 utterances.], tot_loss[loss=0.3086, simple_loss=0.3699, pruned_loss=0.1237, over 2775147.83 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07346, over 46644.61 utterances.], batch size: 130, lr: 4.18e-04
+2022-09-17 22:36:50,644 INFO [train.py:885] (0/2) Epoch 11, batch 6450, loss[loss=0.3792, simple_loss=0.4616, pruned_loss=0.1484, over 13606.00 frames. utt_duration=98.5 frames, utt_pad_proportion=0.07944, over 560.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.371, pruned_loss=0.124, over 2776686.52 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07353, over 47083.54 utterances.], batch size: 560, lr: 4.18e-04
+2022-09-17 22:37:19,602 INFO [train.py:885] (0/2) Epoch 11, batch 6500, loss[loss=0.2408, simple_loss=0.3067, pruned_loss=0.08751, over 12208.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1628, over 24.00 utterances.], tot_loss[loss=0.3082, simple_loss=0.3696, pruned_loss=0.1234, over 2783619.48 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07057, over 46132.55 utterances.], batch size: 24, lr: 4.18e-04
+2022-09-17 22:37:49,427 INFO [train.py:885] (0/2) Epoch 11, batch 6550, loss[loss=0.2548, simple_loss=0.3258, pruned_loss=0.09191, over 14311.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03902, over 120.00 utterances.], tot_loss[loss=0.305, simple_loss=0.3665, pruned_loss=0.1218, over 2778642.97 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07055, over 44820.56 utterances.], batch size: 120, lr: 4.17e-04
+2022-09-17 22:38:19,616 INFO [train.py:885] (0/2) Epoch 11, batch 6600, loss[loss=0.2788, simple_loss=0.3508, pruned_loss=0.1034, over 14362.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.03639, over 130.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.3697, pruned_loss=0.1235, over 2779882.64 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07124, over 46076.09 utterances.], batch size: 130, lr: 4.17e-04
+2022-09-17 22:38:49,007 INFO [train.py:885] (0/2) Epoch 11, batch 6650, loss[loss=0.2909, simple_loss=0.3665, pruned_loss=0.1076, over 14342.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03646, over 210.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3687, pruned_loss=0.1231, over 2782699.68 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07036, over 45530.50 utterances.], batch size: 210, lr: 4.17e-04
+2022-09-17 22:39:18,768 INFO [train.py:885] (0/2) Epoch 11, batch 6700, loss[loss=0.3047, simple_loss=0.375, pruned_loss=0.1171, over 14283.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03992, over 225.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3658, pruned_loss=0.1216, over 2786260.91 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06796, over 44466.47 utterances.], batch size: 225, lr: 4.17e-04
+2022-09-17 22:39:48,507 INFO [train.py:885] (0/2) Epoch 11, batch 6750, loss[loss=0.2715, simple_loss=0.3393, pruned_loss=0.1018, over 14340.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03961, over 167.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3643, pruned_loss=0.1208, over 2782573.79 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06832, over 44179.19 utterances.], batch size: 167, lr: 4.17e-04
+2022-09-17 22:40:18,370 INFO [train.py:885] (0/2) Epoch 11, batch 6800, loss[loss=0.2998, simple_loss=0.3741, pruned_loss=0.1128, over 14342.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03397, over 244.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3669, pruned_loss=0.1225, over 2780201.86 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06993, over 44737.02 utterances.], batch size: 244, lr: 4.17e-04
+2022-09-17 22:40:47,963 INFO [train.py:885] (0/2) Epoch 11, batch 6850, loss[loss=0.3018, simple_loss=0.3655, pruned_loss=0.119, over 14305.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.04164, over 141.00 utterances.], tot_loss[loss=0.309, simple_loss=0.3696, pruned_loss=0.1241, over 2780834.56 frames. utt_duration=245.7 frames, utt_pad_proportion=0.0713, over 45553.28 utterances.], batch size: 141, lr: 4.17e-04
+2022-09-17 22:41:17,237 INFO [train.py:885] (0/2) Epoch 11, batch 6900, loss[loss=0.3136, simple_loss=0.369, pruned_loss=0.1291, over 14313.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04036, over 154.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3681, pruned_loss=0.1234, over 2785472.83 frames. utt_duration=251 frames, utt_pad_proportion=0.06886, over 44655.64 utterances.], batch size: 154, lr: 4.17e-04
+2022-09-17 22:41:46,931 INFO [train.py:885] (0/2) Epoch 11, batch 6950, loss[loss=0.364, simple_loss=0.4124, pruned_loss=0.1578, over 14312.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04117, over 167.00 utterances.], tot_loss[loss=0.315, simple_loss=0.3748, pruned_loss=0.1276, over 2785193.13 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07132, over 46622.93 utterances.], batch size: 167, lr: 4.17e-04
+2022-09-17 22:42:16,099 INFO [train.py:885] (0/2) Epoch 11, batch 7000, loss[loss=0.1682, simple_loss=0.2316, pruned_loss=0.05236, over 12682.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1429, over 25.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3758, pruned_loss=0.1269, over 2784276.02 frames. utt_duration=233.1 frames, utt_pad_proportion=0.0724, over 48090.84 utterances.], batch size: 25, lr: 4.17e-04
+2022-09-17 22:42:45,959 INFO [train.py:885] (0/2) Epoch 11, batch 7050, loss[loss=0.388, simple_loss=0.4281, pruned_loss=0.1739, over 14229.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04354, over 335.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3737, pruned_loss=0.126, over 2780057.93 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07446, over 47311.59 utterances.], batch size: 335, lr: 4.17e-04
+2022-09-17 22:43:15,024 INFO [train.py:885] (0/2) Epoch 11, batch 7100, loss[loss=0.3194, simple_loss=0.3857, pruned_loss=0.1266, over 14263.00 frames. utt_duration=219.2 frames, utt_pad_proportion=0.0427, over 262.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3705, pruned_loss=0.124, over 2780883.79 frames. utt_duration=243 frames, utt_pad_proportion=0.07306, over 46059.11 utterances.], batch size: 262, lr: 4.17e-04
+2022-09-17 22:43:44,772 INFO [train.py:885] (0/2) Epoch 11, batch 7150, loss[loss=0.2584, simple_loss=0.3254, pruned_loss=0.09575, over 14342.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03693, over 120.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3671, pruned_loss=0.1218, over 2782184.71 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07195, over 44653.80 utterances.], batch size: 120, lr: 4.17e-04
+2022-09-17 22:44:14,322 INFO [train.py:885] (0/2) Epoch 11, batch 7200, loss[loss=0.2121, simple_loss=0.2738, pruned_loss=0.0752, over 13919.00 frames. utt_duration=929.4 frames, utt_pad_proportion=0.06593, over 60.00 utterances.], tot_loss[loss=0.304, simple_loss=0.3662, pruned_loss=0.1209, over 2777898.11 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0738, over 45386.66 utterances.], batch size: 60, lr: 4.16e-04
+2022-09-17 22:44:44,118 INFO [train.py:885] (0/2) Epoch 11, batch 7250, loss[loss=0.5191, simple_loss=0.6018, pruned_loss=0.2182, over 12443.00 frames. utt_duration=62.97 frames, utt_pad_proportion=0.149, over 810.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3653, pruned_loss=0.1201, over 2770587.17 frames. utt_duration=243 frames, utt_pad_proportion=0.07637, over 45883.10 utterances.], batch size: 810, lr: 4.16e-04
+2022-09-17 22:45:13,502 INFO [train.py:885] (0/2) Epoch 11, batch 7300, loss[loss=0.221, simple_loss=0.2964, pruned_loss=0.07285, over 14125.00 frames. utt_duration=808.3 frames, utt_pad_proportion=0.05346, over 70.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3621, pruned_loss=0.1181, over 2774750.58 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07325, over 44322.47 utterances.], batch size: 70, lr: 4.16e-04
+2022-09-17 22:45:43,211 INFO [train.py:885] (0/2) Epoch 11, batch 7350, loss[loss=0.2871, simple_loss=0.3577, pruned_loss=0.1083, over 14244.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04211, over 225.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3634, pruned_loss=0.1194, over 2778920.13 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07057, over 44348.85 utterances.], batch size: 225, lr: 4.16e-04
+2022-09-17 22:46:12,937 INFO [train.py:885] (0/2) Epoch 11, batch 7400, loss[loss=0.3446, simple_loss=0.4007, pruned_loss=0.1442, over 14279.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04158, over 262.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3608, pruned_loss=0.1181, over 2779467.24 frames. utt_duration=264.5 frames, utt_pad_proportion=0.06791, over 42267.35 utterances.], batch size: 262, lr: 4.16e-04
+2022-09-17 22:46:42,284 INFO [train.py:885] (0/2) Epoch 11, batch 7450, loss[loss=0.2745, simple_loss=0.3451, pruned_loss=0.1019, over 14225.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04714, over 141.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.365, pruned_loss=0.1199, over 2781023.56 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06981, over 44451.99 utterances.], batch size: 141, lr: 4.16e-04
+2022-09-17 22:47:12,270 INFO [train.py:885] (0/2) Epoch 11, batch 7500, loss[loss=0.3657, simple_loss=0.4174, pruned_loss=0.157, over 14313.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03923, over 262.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3647, pruned_loss=0.1193, over 2776017.96 frames. utt_duration=249.8 frames, utt_pad_proportion=0.0708, over 44709.48 utterances.], batch size: 262, lr: 4.16e-04
+2022-09-17 22:47:41,616 INFO [train.py:885] (0/2) Epoch 11, batch 7550, loss[loss=0.1735, simple_loss=0.2326, pruned_loss=0.05724, over 13674.00 frames. utt_duration=1659 frames, utt_pad_proportion=0.07799, over 33.00 utterances.], tot_loss[loss=0.308, simple_loss=0.3695, pruned_loss=0.1233, over 2781069.97 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07079, over 45563.35 utterances.], batch size: 33, lr: 4.16e-04
+2022-09-17 22:48:11,670 INFO [train.py:885] (0/2) Epoch 11, batch 7600, loss[loss=0.1699, simple_loss=0.2308, pruned_loss=0.05447, over 12317.00 frames. utt_duration=1972 frames, utt_pad_proportion=0.1563, over 25.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3692, pruned_loss=0.1227, over 2778401.42 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0721, over 46704.33 utterances.], batch size: 25, lr: 4.16e-04
+2022-09-17 22:48:41,495 INFO [train.py:885] (0/2) Epoch 11, batch 7650, loss[loss=0.414, simple_loss=0.4795, pruned_loss=0.1743, over 13682.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07172, over 478.00 utterances.], tot_loss[loss=0.307, simple_loss=0.369, pruned_loss=0.1225, over 2779825.51 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07115, over 46879.10 utterances.], batch size: 478, lr: 4.16e-04
+2022-09-17 22:49:10,968 INFO [train.py:885] (0/2) Epoch 11, batch 7700, loss[loss=0.2167, simple_loss=0.2488, pruned_loss=0.09227, over 13544.00 frames. utt_duration=1643 frames, utt_pad_proportion=0.08656, over 33.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3695, pruned_loss=0.123, over 2780281.90 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07248, over 47186.75 utterances.], batch size: 33, lr: 4.16e-04
+2022-09-17 22:49:40,154 INFO [train.py:885] (0/2) Epoch 11, batch 7750, loss[loss=0.2092, simple_loss=0.2822, pruned_loss=0.06805, over 14123.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05085, over 98.00 utterances.], tot_loss[loss=0.31, simple_loss=0.3706, pruned_loss=0.1247, over 2784865.47 frames. utt_duration=240.3 frames, utt_pad_proportion=0.06988, over 46647.33 utterances.], batch size: 98, lr: 4.16e-04
+2022-09-17 22:50:09,991 INFO [train.py:885] (0/2) Epoch 11, batch 7800, loss[loss=0.3378, simple_loss=0.3994, pruned_loss=0.1381, over 14218.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04387, over 306.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.369, pruned_loss=0.1233, over 2784161.45 frames. utt_duration=237.5 frames, utt_pad_proportion=0.06931, over 47178.33 utterances.], batch size: 306, lr: 4.16e-04
+2022-09-17 22:50:39,195 INFO [train.py:885] (0/2) Epoch 11, batch 7850, loss[loss=0.3192, simple_loss=0.3913, pruned_loss=0.1236, over 14337.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03732, over 283.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3692, pruned_loss=0.1231, over 2783092.02 frames. utt_duration=238.6 frames, utt_pad_proportion=0.06962, over 46954.68 utterances.], batch size: 283, lr: 4.15e-04
+2022-09-17 22:51:08,803 INFO [train.py:885] (0/2) Epoch 11, batch 7900, loss[loss=0.2312, simple_loss=0.29, pruned_loss=0.08621, over 13701.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08124, over 42.00 utterances.], tot_loss[loss=0.3049, simple_loss=0.3662, pruned_loss=0.1218, over 2787134.04 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06725, over 45192.55 utterances.], batch size: 42, lr: 4.15e-04
+2022-09-17 22:51:38,011 INFO [train.py:885] (0/2) Epoch 11, batch 7950, loss[loss=0.1936, simple_loss=0.2598, pruned_loss=0.06374, over 13751.00 frames. utt_duration=798.9 frames, utt_pad_proportion=0.07002, over 69.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3637, pruned_loss=0.1205, over 2784510.03 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06793, over 44834.62 utterances.], batch size: 69, lr: 4.15e-04
+2022-09-17 22:52:08,146 INFO [train.py:885] (0/2) Epoch 11, batch 8000, loss[loss=0.2525, simple_loss=0.3101, pruned_loss=0.09747, over 14077.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.05515, over 79.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.365, pruned_loss=0.1207, over 2787656.72 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06756, over 45394.78 utterances.], batch size: 79, lr: 4.15e-04
+2022-09-17 22:52:38,167 INFO [train.py:885] (0/2) Epoch 11, batch 8050, loss[loss=0.2903, simple_loss=0.3636, pruned_loss=0.1085, over 14278.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04028, over 180.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3638, pruned_loss=0.1192, over 2788822.38 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06798, over 44928.03 utterances.], batch size: 180, lr: 4.15e-04
+2022-09-17 22:53:07,873 INFO [train.py:885] (0/2) Epoch 11, batch 8100, loss[loss=0.2158, simple_loss=0.2701, pruned_loss=0.08073, over 14089.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05345, over 98.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3646, pruned_loss=0.1195, over 2783572.99 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07068, over 45805.15 utterances.], batch size: 98, lr: 4.15e-04
+2022-09-17 22:53:38,010 INFO [train.py:885] (0/2) Epoch 11, batch 8150, loss[loss=0.2712, simple_loss=0.3299, pruned_loss=0.1063, over 14062.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05357, over 98.00 utterances.], tot_loss[loss=0.3061, simple_loss=0.3689, pruned_loss=0.1217, over 2786610.73 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07072, over 47422.29 utterances.], batch size: 98, lr: 4.15e-04
+2022-09-17 22:54:08,012 INFO [train.py:885] (0/2) Epoch 11, batch 8200, loss[loss=0.1714, simple_loss=0.2385, pruned_loss=0.05216, over 13599.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08143, over 50.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3698, pruned_loss=0.1218, over 2785540.62 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07042, over 47658.02 utterances.], batch size: 50, lr: 4.15e-04
+2022-09-17 22:54:36,943 INFO [train.py:885] (0/2) Epoch 11, batch 8250, loss[loss=0.2977, simple_loss=0.3638, pruned_loss=0.1158, over 14340.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03474, over 244.00 utterances.], tot_loss[loss=0.3085, simple_loss=0.3713, pruned_loss=0.1228, over 2788536.93 frames. utt_duration=234.7 frames, utt_pad_proportion=0.06933, over 47818.57 utterances.], batch size: 244, lr: 4.15e-04
+2022-09-17 22:55:06,843 INFO [train.py:885] (0/2) Epoch 11, batch 8300, loss[loss=0.2757, simple_loss=0.3407, pruned_loss=0.1053, over 14274.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.04219, over 130.00 utterances.], tot_loss[loss=0.3061, simple_loss=0.3677, pruned_loss=0.1222, over 2784082.75 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06867, over 45639.43 utterances.], batch size: 130, lr: 4.15e-04
+2022-09-17 22:55:37,431 INFO [train.py:885] (0/2) Epoch 11, batch 8350, loss[loss=0.2143, simple_loss=0.2908, pruned_loss=0.0689, over 13627.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08338, over 50.00 utterances.], tot_loss[loss=0.3078, simple_loss=0.3696, pruned_loss=0.123, over 2779191.97 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07211, over 46894.13 utterances.], batch size: 50, lr: 4.15e-04
+2022-09-17 22:56:06,741 INFO [train.py:885] (0/2) Epoch 11, batch 8400, loss[loss=0.2629, simple_loss=0.3285, pruned_loss=0.09861, over 14163.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04554, over 109.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3645, pruned_loss=0.1208, over 2781819.60 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07026, over 44462.14 utterances.], batch size: 109, lr: 4.15e-04
+2022-09-17 22:56:37,009 INFO [train.py:885] (0/2) Epoch 11, batch 8450, loss[loss=0.2451, simple_loss=0.3008, pruned_loss=0.09475, over 14055.00 frames. utt_duration=575 frames, utt_pad_proportion=0.05738, over 98.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3652, pruned_loss=0.1209, over 2778965.40 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07193, over 45027.71 utterances.], batch size: 98, lr: 4.15e-04
+2022-09-17 22:57:06,616 INFO [train.py:885] (0/2) Epoch 11, batch 8500, loss[loss=0.1949, simple_loss=0.2688, pruned_loss=0.06045, over 12276.00 frames. utt_duration=2047 frames, utt_pad_proportion=0.1571, over 24.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3663, pruned_loss=0.121, over 2780025.33 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07304, over 45611.31 utterances.], batch size: 24, lr: 4.14e-04
+2022-09-17 22:57:36,315 INFO [train.py:885] (0/2) Epoch 11, batch 8550, loss[loss=0.1964, simple_loss=0.2539, pruned_loss=0.06945, over 14028.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.05742, over 79.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3697, pruned_loss=0.1229, over 2780054.28 frames. utt_duration=240 frames, utt_pad_proportion=0.07279, over 46613.32 utterances.], batch size: 79, lr: 4.14e-04
+2022-09-17 22:58:06,593 INFO [train.py:885] (0/2) Epoch 11, batch 8600, loss[loss=0.2379, simple_loss=0.2991, pruned_loss=0.0883, over 13000.00 frames. utt_duration=2001 frames, utt_pad_proportion=0.1136, over 26.00 utterances.], tot_loss[loss=0.31, simple_loss=0.3717, pruned_loss=0.1241, over 2780348.86 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07373, over 47145.83 utterances.], batch size: 26, lr: 4.14e-04
+2022-09-17 22:58:35,821 INFO [train.py:885] (0/2) Epoch 11, batch 8650, loss[loss=0.3169, simple_loss=0.3821, pruned_loss=0.1259, over 14339.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03662, over 210.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3686, pruned_loss=0.1224, over 2779581.96 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07292, over 46509.16 utterances.], batch size: 210, lr: 4.14e-04
+2022-09-17 22:59:05,096 INFO [train.py:885] (0/2) Epoch 11, batch 8700, loss[loss=0.4552, simple_loss=0.4769, pruned_loss=0.2167, over 14321.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03875, over 262.00 utterances.], tot_loss[loss=0.307, simple_loss=0.368, pruned_loss=0.123, over 2781790.05 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07075, over 45054.79 utterances.], batch size: 262, lr: 4.14e-04
+2022-09-17 22:59:35,384 INFO [train.py:885] (0/2) Epoch 11, batch 8750, loss[loss=0.6086, simple_loss=0.6511, pruned_loss=0.283, over 12504.00 frames. utt_duration=63.24 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.3109, simple_loss=0.372, pruned_loss=0.1249, over 2779269.15 frames. utt_duration=238 frames, utt_pad_proportion=0.07419, over 47005.06 utterances.], batch size: 810, lr: 4.14e-04
+2022-09-17 23:00:05,936 INFO [train.py:885] (0/2) Epoch 11, batch 8800, loss[loss=0.2833, simple_loss=0.3386, pruned_loss=0.1141, over 14322.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03893, over 130.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3711, pruned_loss=0.1241, over 2778951.37 frames. utt_duration=242 frames, utt_pad_proportion=0.07429, over 46217.53 utterances.], batch size: 130, lr: 4.14e-04
+2022-09-17 23:00:35,077 INFO [train.py:885] (0/2) Epoch 11, batch 8850, loss[loss=0.3423, simple_loss=0.3948, pruned_loss=0.1449, over 14358.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03554, over 210.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.366, pruned_loss=0.1208, over 2780445.39 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07232, over 44538.26 utterances.], batch size: 210, lr: 4.14e-04
+2022-09-17 23:01:05,759 INFO [train.py:885] (0/2) Epoch 11, batch 8900, loss[loss=0.2514, simple_loss=0.3184, pruned_loss=0.09222, over 14300.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03973, over 120.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3672, pruned_loss=0.1216, over 2779765.86 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07261, over 45366.88 utterances.], batch size: 120, lr: 4.14e-04
+2022-09-17 23:01:34,803 INFO [train.py:885] (0/2) Epoch 11, batch 8950, loss[loss=0.3119, simple_loss=0.3815, pruned_loss=0.1211, over 14358.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03342, over 244.00 utterances.], tot_loss[loss=0.3022, simple_loss=0.3644, pruned_loss=0.12, over 2778808.43 frames. utt_duration=251.7 frames, utt_pad_proportion=0.0732, over 44424.66 utterances.], batch size: 244, lr: 4.14e-04
+2022-09-17 23:02:05,396 INFO [train.py:885] (0/2) Epoch 11, batch 9000, loss[loss=0.2997, simple_loss=0.3737, pruned_loss=0.1128, over 14348.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03409, over 244.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3696, pruned_loss=0.1229, over 2780435.08 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07361, over 46680.19 utterances.], batch size: 244, lr: 4.14e-04
+2022-09-17 23:02:05,398 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 23:02:10,410 INFO [train.py:914] (0/2) Epoch 11, validation: loss=0.2081, simple_loss=0.2842, pruned_loss=0.06595, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 23:02:39,977 INFO [train.py:885] (0/2) Epoch 11, batch 9050, loss[loss=0.2087, simple_loss=0.248, pruned_loss=0.0847, over 13481.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09191, over 50.00 utterances.], tot_loss[loss=0.3071, simple_loss=0.3692, pruned_loss=0.1226, over 2781151.00 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07336, over 46665.10 utterances.], batch size: 50, lr: 4.14e-04
+2022-09-17 23:03:10,000 INFO [train.py:885] (0/2) Epoch 11, batch 9100, loss[loss=0.3498, simple_loss=0.4095, pruned_loss=0.1451, over 14242.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04217, over 306.00 utterances.], tot_loss[loss=0.3104, simple_loss=0.3724, pruned_loss=0.1241, over 2784021.13 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07118, over 47620.11 utterances.], batch size: 306, lr: 4.14e-04
+2022-09-17 23:03:39,579 INFO [train.py:885] (0/2) Epoch 11, batch 9150, loss[loss=0.3573, simple_loss=0.4085, pruned_loss=0.1531, over 14253.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04214, over 335.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.3709, pruned_loss=0.1229, over 2781907.26 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07283, over 47174.92 utterances.], batch size: 335, lr: 4.13e-04
+2022-09-17 23:04:09,330 INFO [train.py:885] (0/2) Epoch 11, batch 9200, loss[loss=0.1968, simple_loss=0.2337, pruned_loss=0.07995, over 13399.00 frames. utt_duration=1278 frames, utt_pad_proportion=0.08933, over 42.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.3711, pruned_loss=0.1232, over 2786323.06 frames. utt_duration=236.9 frames, utt_pad_proportion=0.06936, over 47340.22 utterances.], batch size: 42, lr: 4.13e-04
+2022-09-17 23:04:39,395 INFO [train.py:885] (0/2) Epoch 11, batch 9250, loss[loss=0.3905, simple_loss=0.4483, pruned_loss=0.1664, over 13976.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05755, over 365.00 utterances.], tot_loss[loss=0.3115, simple_loss=0.3743, pruned_loss=0.1244, over 2786995.57 frames. utt_duration=229.9 frames, utt_pad_proportion=0.0704, over 48810.22 utterances.], batch size: 365, lr: 4.13e-04
+2022-09-17 23:05:09,442 INFO [train.py:885] (0/2) Epoch 11, batch 9300, loss[loss=0.2012, simple_loss=0.2636, pruned_loss=0.06942, over 13797.00 frames. utt_duration=1105 frames, utt_pad_proportion=0.06971, over 50.00 utterances.], tot_loss[loss=0.3118, simple_loss=0.3732, pruned_loss=0.1252, over 2789479.35 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07014, over 47325.76 utterances.], batch size: 50, lr: 4.13e-04
+2022-09-17 23:05:39,440 INFO [train.py:885] (0/2) Epoch 11, batch 9350, loss[loss=0.3319, simple_loss=0.3996, pruned_loss=0.1321, over 14271.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04017, over 225.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3741, pruned_loss=0.1257, over 2782660.84 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07204, over 48164.66 utterances.], batch size: 225, lr: 4.13e-04
+2022-09-17 23:06:09,328 INFO [train.py:885] (0/2) Epoch 11, batch 9400, loss[loss=0.2217, simple_loss=0.2817, pruned_loss=0.08088, over 13578.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.0853, over 50.00 utterances.], tot_loss[loss=0.31, simple_loss=0.3711, pruned_loss=0.1244, over 2782371.93 frames. utt_duration=240.8 frames, utt_pad_proportion=0.06954, over 46512.13 utterances.], batch size: 50, lr: 4.13e-04
+2022-09-17 23:06:39,456 INFO [train.py:885] (0/2) Epoch 11, batch 9450, loss[loss=0.3361, simple_loss=0.413, pruned_loss=0.1297, over 14011.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05503, over 365.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3734, pruned_loss=0.125, over 2778858.22 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07248, over 48030.51 utterances.], batch size: 365, lr: 4.13e-04
+2022-09-17 23:07:09,363 INFO [train.py:885] (0/2) Epoch 11, batch 9500, loss[loss=0.3772, simple_loss=0.4455, pruned_loss=0.1544, over 13713.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07529, over 411.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3711, pruned_loss=0.1237, over 2785777.31 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07024, over 47070.14 utterances.], batch size: 411, lr: 4.13e-04
+2022-09-17 23:07:39,042 INFO [train.py:885] (0/2) Epoch 11, batch 9550, loss[loss=0.3216, simple_loss=0.4135, pruned_loss=0.1149, over 13762.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07219, over 411.00 utterances.], tot_loss[loss=0.311, simple_loss=0.373, pruned_loss=0.1245, over 2784881.29 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07246, over 48082.45 utterances.], batch size: 411, lr: 4.13e-04
+2022-09-17 23:08:09,062 INFO [train.py:885] (0/2) Epoch 11, batch 9600, loss[loss=0.2542, simple_loss=0.3111, pruned_loss=0.09864, over 14190.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04355, over 109.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3688, pruned_loss=0.1223, over 2776969.70 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07335, over 46609.82 utterances.], batch size: 109, lr: 4.13e-04
+2022-09-17 23:08:38,689 INFO [train.py:885] (0/2) Epoch 11, batch 9650, loss[loss=0.1899, simple_loss=0.2527, pruned_loss=0.06355, over 13606.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.08762, over 42.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3691, pruned_loss=0.1231, over 2771022.66 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07559, over 46252.27 utterances.], batch size: 42, lr: 4.13e-04
+2022-09-17 23:09:08,175 INFO [train.py:885] (0/2) Epoch 11, batch 9700, loss[loss=0.2512, simple_loss=0.3248, pruned_loss=0.08876, over 14143.00 frames. utt_duration=578.7 frames, utt_pad_proportion=0.04981, over 98.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.3705, pruned_loss=0.1235, over 2772889.42 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07331, over 46731.62 utterances.], batch size: 98, lr: 4.13e-04
+2022-09-17 23:09:38,147 INFO [train.py:885] (0/2) Epoch 11, batch 9750, loss[loss=0.3384, simple_loss=0.3925, pruned_loss=0.1421, over 14363.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03758, over 167.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3728, pruned_loss=0.1244, over 2776273.67 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07504, over 47949.39 utterances.], batch size: 167, lr: 4.13e-04
+2022-09-17 23:10:07,645 INFO [train.py:885] (0/2) Epoch 11, batch 9800, loss[loss=0.1876, simple_loss=0.254, pruned_loss=0.06064, over 13589.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.09014, over 42.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.366, pruned_loss=0.1215, over 2776718.18 frames. utt_duration=249.4 frames, utt_pad_proportion=0.0721, over 44800.10 utterances.], batch size: 42, lr: 4.12e-04
+2022-09-17 23:10:08,249 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-136000.pt
+2022-09-17 23:10:37,712 INFO [train.py:885] (0/2) Epoch 11, batch 9850, loss[loss=0.2524, simple_loss=0.3232, pruned_loss=0.09086, over 14204.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04303, over 109.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3664, pruned_loss=0.1222, over 2778520.37 frames. utt_duration=250.8 frames, utt_pad_proportion=0.0722, over 44570.66 utterances.], batch size: 109, lr: 4.12e-04
+2022-09-17 23:11:07,711 INFO [train.py:885] (0/2) Epoch 11, batch 9900, loss[loss=0.3786, simple_loss=0.4578, pruned_loss=0.1497, over 13650.00 frames. utt_duration=98.93 frames, utt_pad_proportion=0.07542, over 560.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3658, pruned_loss=0.1223, over 2781292.97 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07074, over 44119.99 utterances.], batch size: 560, lr: 4.12e-04
+2022-09-17 23:11:37,000 INFO [train.py:885] (0/2) Epoch 11, batch 9950, loss[loss=0.212, simple_loss=0.2867, pruned_loss=0.0687, over 12946.00 frames. utt_duration=1993 frames, utt_pad_proportion=0.119, over 26.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3654, pruned_loss=0.1215, over 2779972.79 frames. utt_duration=253 frames, utt_pad_proportion=0.07118, over 44213.92 utterances.], batch size: 26, lr: 4.12e-04
+2022-09-17 23:12:07,059 INFO [train.py:885] (0/2) Epoch 11, batch 10000, loss[loss=0.3388, simple_loss=0.4096, pruned_loss=0.134, over 14012.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05471, over 365.00 utterances.], tot_loss[loss=0.3089, simple_loss=0.3705, pruned_loss=0.1236, over 2780395.81 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07341, over 46484.81 utterances.], batch size: 365, lr: 4.12e-04
+2022-09-17 23:12:36,119 INFO [train.py:885] (0/2) Epoch 11, batch 10050, loss[loss=0.4247, simple_loss=0.4751, pruned_loss=0.1871, over 14034.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05621, over 366.00 utterances.], tot_loss[loss=0.3078, simple_loss=0.3691, pruned_loss=0.1233, over 2783286.32 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07049, over 45331.58 utterances.], batch size: 366, lr: 4.12e-04
+2022-09-17 23:13:05,566 INFO [train.py:885] (0/2) Epoch 11, batch 10100, loss[loss=0.3359, simple_loss=0.3916, pruned_loss=0.1402, over 14303.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04008, over 262.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3661, pruned_loss=0.1215, over 2777286.15 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07099, over 44217.21 utterances.], batch size: 262, lr: 4.12e-04
+2022-09-17 23:13:35,983 INFO [train.py:885] (0/2) Epoch 11, batch 10150, loss[loss=0.3202, simple_loss=0.4098, pruned_loss=0.1153, over 13666.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07872, over 477.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3709, pruned_loss=0.1239, over 2774416.07 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07309, over 46206.63 utterances.], batch size: 477, lr: 4.12e-04
+2022-09-17 23:14:05,475 INFO [train.py:885] (0/2) Epoch 11, batch 10200, loss[loss=0.2672, simple_loss=0.3462, pruned_loss=0.09407, over 14298.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03886, over 180.00 utterances.], tot_loss[loss=0.3104, simple_loss=0.3728, pruned_loss=0.124, over 2778358.25 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07274, over 47301.42 utterances.], batch size: 180, lr: 4.12e-04
+2022-09-17 23:14:34,980 INFO [train.py:885] (0/2) Epoch 11, batch 10250, loss[loss=0.1716, simple_loss=0.2371, pruned_loss=0.05308, over 13613.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08445, over 50.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3694, pruned_loss=0.1234, over 2777403.92 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07227, over 45689.91 utterances.], batch size: 50, lr: 4.12e-04
+2022-09-17 23:15:05,555 INFO [train.py:885] (0/2) Epoch 11, batch 10300, loss[loss=0.176, simple_loss=0.2406, pruned_loss=0.05569, over 13443.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09057, over 50.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3735, pruned_loss=0.1257, over 2776545.85 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07454, over 47267.73 utterances.], batch size: 50, lr: 4.12e-04
+2022-09-17 23:15:34,773 INFO [train.py:885] (0/2) Epoch 11, batch 10350, loss[loss=0.3464, simple_loss=0.4395, pruned_loss=0.1267, over 13632.00 frames. utt_duration=98.78 frames, utt_pad_proportion=0.07682, over 560.00 utterances.], tot_loss[loss=0.3109, simple_loss=0.3725, pruned_loss=0.1247, over 2779165.58 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07432, over 46813.08 utterances.], batch size: 560, lr: 4.12e-04
+2022-09-17 23:16:04,877 INFO [train.py:885] (0/2) Epoch 11, batch 10400, loss[loss=0.323, simple_loss=0.3867, pruned_loss=0.1296, over 14348.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03648, over 195.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3723, pruned_loss=0.1247, over 2776415.68 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07402, over 47115.76 utterances.], batch size: 195, lr: 4.12e-04
+2022-09-17 23:16:34,799 INFO [train.py:885] (0/2) Epoch 11, batch 10450, loss[loss=0.258, simple_loss=0.3233, pruned_loss=0.09637, over 14352.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03858, over 120.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3737, pruned_loss=0.1254, over 2773181.25 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07506, over 47993.97 utterances.], batch size: 120, lr: 4.11e-04
+2022-09-17 23:17:04,154 INFO [train.py:885] (0/2) Epoch 11, batch 10500, loss[loss=0.4258, simple_loss=0.4666, pruned_loss=0.1925, over 13969.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05783, over 365.00 utterances.], tot_loss[loss=0.3118, simple_loss=0.3739, pruned_loss=0.1249, over 2777787.76 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07324, over 48002.58 utterances.], batch size: 365, lr: 4.11e-04
+2022-09-17 23:17:34,029 INFO [train.py:885] (0/2) Epoch 11, batch 10550, loss[loss=0.1895, simple_loss=0.2514, pruned_loss=0.06379, over 13229.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09645, over 41.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.37, pruned_loss=0.1231, over 2777258.37 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07173, over 46626.74 utterances.], batch size: 41, lr: 4.11e-04
+2022-09-17 23:18:03,643 INFO [train.py:885] (0/2) Epoch 11, batch 10600, loss[loss=0.316, simple_loss=0.3993, pruned_loss=0.1164, over 13929.00 frames. utt_duration=154.1 frames, utt_pad_proportion=0.06041, over 365.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.3699, pruned_loss=0.1233, over 2774923.46 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07361, over 46756.06 utterances.], batch size: 365, lr: 4.11e-04
+2022-09-17 23:18:32,422 INFO [train.py:885] (0/2) Epoch 11, batch 10650, loss[loss=0.358, simple_loss=0.4424, pruned_loss=0.1368, over 13624.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.0781, over 560.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.371, pruned_loss=0.1238, over 2776461.32 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07299, over 47062.59 utterances.], batch size: 560, lr: 4.11e-04
+2022-09-17 23:19:02,386 INFO [train.py:885] (0/2) Epoch 11, batch 10700, loss[loss=0.2246, simple_loss=0.2887, pruned_loss=0.08022, over 13961.00 frames. utt_duration=810.9 frames, utt_pad_proportion=0.05601, over 69.00 utterances.], tot_loss[loss=0.306, simple_loss=0.368, pruned_loss=0.122, over 2776463.30 frames. utt_duration=245.9 frames, utt_pad_proportion=0.0724, over 45438.11 utterances.], batch size: 69, lr: 4.11e-04
+2022-09-17 23:19:32,363 INFO [train.py:885] (0/2) Epoch 11, batch 10750, loss[loss=0.1831, simple_loss=0.2535, pruned_loss=0.05638, over 13919.00 frames. utt_duration=929.2 frames, utt_pad_proportion=0.06608, over 60.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.364, pruned_loss=0.1204, over 2778869.97 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06961, over 43471.57 utterances.], batch size: 60, lr: 4.11e-04
+2022-09-17 23:20:01,575 INFO [train.py:885] (0/2) Epoch 11, batch 10800, loss[loss=0.3051, simple_loss=0.3679, pruned_loss=0.1211, over 14303.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03855, over 195.00 utterances.], tot_loss[loss=0.3055, simple_loss=0.3673, pruned_loss=0.1218, over 2782822.28 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06924, over 44634.98 utterances.], batch size: 195, lr: 4.11e-04
+2022-09-17 23:20:31,507 INFO [train.py:885] (0/2) Epoch 11, batch 10850, loss[loss=0.1945, simple_loss=0.241, pruned_loss=0.07401, over 13838.00 frames. utt_duration=803.7 frames, utt_pad_proportion=0.06433, over 69.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3628, pruned_loss=0.1194, over 2778628.71 frames. utt_duration=258.7 frames, utt_pad_proportion=0.07062, over 43213.44 utterances.], batch size: 69, lr: 4.11e-04
+2022-09-17 23:21:00,458 INFO [train.py:885] (0/2) Epoch 11, batch 10900, loss[loss=0.6864, simple_loss=0.7121, pruned_loss=0.3303, over 12549.00 frames. utt_duration=63.49 frames, utt_pad_proportion=0.142, over 810.00 utterances.], tot_loss[loss=0.3062, simple_loss=0.367, pruned_loss=0.1227, over 2780878.22 frames. utt_duration=252.5 frames, utt_pad_proportion=0.0716, over 44303.05 utterances.], batch size: 810, lr: 4.11e-04
+2022-09-17 23:21:30,322 INFO [train.py:885] (0/2) Epoch 11, batch 10950, loss[loss=0.4518, simple_loss=0.5014, pruned_loss=0.2011, over 13802.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06929, over 411.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.37, pruned_loss=0.1245, over 2780629.27 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07267, over 45276.83 utterances.], batch size: 411, lr: 4.11e-04
+2022-09-17 23:22:00,227 INFO [train.py:885] (0/2) Epoch 11, batch 11000, loss[loss=0.3551, simple_loss=0.4407, pruned_loss=0.1348, over 13609.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08298, over 477.00 utterances.], tot_loss[loss=0.3121, simple_loss=0.3731, pruned_loss=0.1255, over 2777421.08 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07501, over 47456.29 utterances.], batch size: 477, lr: 4.11e-04
+2022-09-17 23:22:29,731 INFO [train.py:885] (0/2) Epoch 11, batch 11050, loss[loss=0.3941, simple_loss=0.4741, pruned_loss=0.157, over 13655.00 frames. utt_duration=98.96 frames, utt_pad_proportion=0.07512, over 560.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3682, pruned_loss=0.1229, over 2774560.53 frames. utt_duration=245.2 frames, utt_pad_proportion=0.0749, over 45530.70 utterances.], batch size: 560, lr: 4.11e-04
+2022-09-17 23:22:59,566 INFO [train.py:885] (0/2) Epoch 11, batch 11100, loss[loss=0.322, simple_loss=0.3873, pruned_loss=0.1284, over 14318.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03887, over 283.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3677, pruned_loss=0.122, over 2777492.73 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07382, over 45585.14 utterances.], batch size: 283, lr: 4.11e-04
+2022-09-17 23:23:29,004 INFO [train.py:885] (0/2) Epoch 11, batch 11150, loss[loss=0.2913, simple_loss=0.3636, pruned_loss=0.1095, over 14327.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03763, over 210.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.367, pruned_loss=0.121, over 2782349.21 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07179, over 45095.95 utterances.], batch size: 210, lr: 4.10e-04
+2022-09-17 23:23:59,025 INFO [train.py:885] (0/2) Epoch 11, batch 11200, loss[loss=0.1746, simple_loss=0.2137, pruned_loss=0.06778, over 12737.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.1195, over 25.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3661, pruned_loss=0.1208, over 2783116.44 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06973, over 44588.12 utterances.], batch size: 25, lr: 4.10e-04
+2022-09-17 23:24:36,559 INFO [train.py:885] (0/2) Epoch 11, batch 11250, loss[loss=0.2559, simple_loss=0.3187, pruned_loss=0.09658, over 14111.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05193, over 98.00 utterances.], tot_loss[loss=0.3056, simple_loss=0.3679, pruned_loss=0.1216, over 2783708.98 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06896, over 45361.88 utterances.], batch size: 98, lr: 4.10e-04
+2022-09-17 23:25:06,448 INFO [train.py:885] (0/2) Epoch 11, batch 11300, loss[loss=0.3999, simple_loss=0.4334, pruned_loss=0.1832, over 14316.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03958, over 262.00 utterances.], tot_loss[loss=0.304, simple_loss=0.366, pruned_loss=0.121, over 2782030.01 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06906, over 45052.17 utterances.], batch size: 262, lr: 4.10e-04
+2022-09-17 23:25:35,959 INFO [train.py:885] (0/2) Epoch 11, batch 11350, loss[loss=0.1781, simple_loss=0.2446, pruned_loss=0.05576, over 12622.00 frames. utt_duration=2021 frames, utt_pad_proportion=0.1334, over 25.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3695, pruned_loss=0.123, over 2784361.71 frames. utt_duration=244 frames, utt_pad_proportion=0.06964, over 45926.31 utterances.], batch size: 25, lr: 4.10e-04
+2022-09-17 23:26:05,880 INFO [train.py:885] (0/2) Epoch 11, batch 11400, loss[loss=0.2578, simple_loss=0.3358, pruned_loss=0.08985, over 14313.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04153, over 167.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3703, pruned_loss=0.1226, over 2781289.13 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07126, over 46884.07 utterances.], batch size: 167, lr: 4.10e-04
+2022-09-17 23:26:35,259 INFO [train.py:885] (0/2) Epoch 11, batch 11450, loss[loss=0.1825, simple_loss=0.2416, pruned_loss=0.06171, over 13489.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.09264, over 50.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3656, pruned_loss=0.1202, over 2772774.18 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07313, over 45757.91 utterances.], batch size: 50, lr: 4.10e-04
+2022-09-17 23:27:05,609 INFO [train.py:885] (0/2) Epoch 11, batch 11500, loss[loss=0.1799, simple_loss=0.2418, pruned_loss=0.05904, over 13433.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.09343, over 50.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3626, pruned_loss=0.1185, over 2773544.53 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07083, over 45215.72 utterances.], batch size: 50, lr: 4.10e-04
+2022-09-17 23:27:35,373 INFO [train.py:885] (0/2) Epoch 11, batch 11550, loss[loss=0.2862, simple_loss=0.3577, pruned_loss=0.1073, over 14291.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03911, over 180.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3625, pruned_loss=0.1189, over 2776844.23 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06985, over 44117.28 utterances.], batch size: 180, lr: 4.10e-04
+2022-09-17 23:28:05,405 INFO [train.py:885] (0/2) Epoch 11, batch 11600, loss[loss=0.3362, simple_loss=0.393, pruned_loss=0.1397, over 14319.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03892, over 283.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3649, pruned_loss=0.12, over 2779771.68 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06862, over 45047.78 utterances.], batch size: 283, lr: 4.10e-04
+2022-09-17 23:28:34,943 INFO [train.py:885] (0/2) Epoch 11, batch 11650, loss[loss=0.3225, simple_loss=0.3855, pruned_loss=0.1298, over 14364.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03299, over 244.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3629, pruned_loss=0.1193, over 2782952.31 frames. utt_duration=257 frames, utt_pad_proportion=0.06747, over 43568.15 utterances.], batch size: 244, lr: 4.10e-04
+2022-09-17 23:29:04,364 INFO [train.py:885] (0/2) Epoch 11, batch 11700, loss[loss=0.3318, simple_loss=0.3902, pruned_loss=0.1367, over 14297.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03845, over 180.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.3632, pruned_loss=0.1192, over 2781336.44 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06887, over 44015.96 utterances.], batch size: 180, lr: 4.10e-04
+2022-09-17 23:29:34,244 INFO [train.py:885] (0/2) Epoch 11, batch 11750, loss[loss=0.272, simple_loss=0.3327, pruned_loss=0.1056, over 14151.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04666, over 109.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3622, pruned_loss=0.1181, over 2778276.09 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07135, over 44470.46 utterances.], batch size: 109, lr: 4.10e-04
+2022-09-17 23:30:03,167 INFO [train.py:885] (0/2) Epoch 11, batch 11800, loss[loss=0.3715, simple_loss=0.4486, pruned_loss=0.1471, over 13604.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.07682, over 478.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.3649, pruned_loss=0.12, over 2779685.62 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07079, over 45004.06 utterances.], batch size: 478, lr: 4.09e-04
+2022-09-17 23:30:33,319 INFO [train.py:885] (0/2) Epoch 11, batch 11850, loss[loss=0.329, simple_loss=0.3843, pruned_loss=0.1369, over 12946.00 frames. utt_duration=1993 frames, utt_pad_proportion=0.1127, over 26.00 utterances.], tot_loss[loss=0.3039, simple_loss=0.3656, pruned_loss=0.121, over 2781544.57 frames. utt_duration=252 frames, utt_pad_proportion=0.06955, over 44414.14 utterances.], batch size: 26, lr: 4.09e-04
+2022-09-17 23:31:03,069 INFO [train.py:885] (0/2) Epoch 11, batch 11900, loss[loss=0.3029, simple_loss=0.3954, pruned_loss=0.1052, over 13780.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07069, over 411.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3673, pruned_loss=0.1217, over 2776603.54 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07131, over 45663.92 utterances.], batch size: 411, lr: 4.09e-04
+2022-09-17 23:31:33,088 INFO [train.py:885] (0/2) Epoch 11, batch 11950, loss[loss=0.3264, simple_loss=0.3918, pruned_loss=0.1305, over 14366.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03469, over 210.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3692, pruned_loss=0.1228, over 2779217.83 frames. utt_duration=243 frames, utt_pad_proportion=0.07185, over 46028.48 utterances.], batch size: 210, lr: 4.09e-04
+2022-09-17 23:32:02,971 INFO [train.py:885] (0/2) Epoch 11, batch 12000, loss[loss=0.1658, simple_loss=0.2237, pruned_loss=0.05394, over 13750.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08049, over 42.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3644, pruned_loss=0.1195, over 2779127.04 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07082, over 44755.75 utterances.], batch size: 42, lr: 4.09e-04
+2022-09-17 23:32:02,973 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-17 23:32:07,742 INFO [train.py:914] (0/2) Epoch 11, validation: loss=0.2051, simple_loss=0.2808, pruned_loss=0.06466, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 23:32:37,088 INFO [train.py:885] (0/2) Epoch 11, batch 12050, loss[loss=0.3934, simple_loss=0.4819, pruned_loss=0.1524, over 13116.00 frames. utt_duration=81.84 frames, utt_pad_proportion=0.1105, over 653.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3635, pruned_loss=0.1182, over 2784694.08 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06898, over 45024.18 utterances.], batch size: 653, lr: 4.09e-04
+2022-09-17 23:33:06,875 INFO [train.py:885] (0/2) Epoch 11, batch 12100, loss[loss=0.206, simple_loss=0.278, pruned_loss=0.06704, over 13179.00 frames. utt_duration=1599 frames, utt_pad_proportion=0.1051, over 33.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3643, pruned_loss=0.118, over 2787689.57 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06726, over 45337.06 utterances.], batch size: 33, lr: 4.09e-04
+2022-09-17 23:33:36,164 INFO [train.py:885] (0/2) Epoch 11, batch 12150, loss[loss=0.2004, simple_loss=0.2513, pruned_loss=0.0747, over 13943.00 frames. utt_duration=809.7 frames, utt_pad_proportion=0.05736, over 69.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3652, pruned_loss=0.1193, over 2786622.74 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06824, over 45102.55 utterances.], batch size: 69, lr: 4.09e-04
+2022-09-17 23:34:06,257 INFO [train.py:885] (0/2) Epoch 11, batch 12200, loss[loss=0.1693, simple_loss=0.2328, pruned_loss=0.05286, over 13013.00 frames. utt_duration=1579 frames, utt_pad_proportion=0.1209, over 33.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3675, pruned_loss=0.1197, over 2782677.24 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07183, over 46950.36 utterances.], batch size: 33, lr: 4.09e-04
+2022-09-17 23:34:35,676 INFO [train.py:885] (0/2) Epoch 11, batch 12250, loss[loss=0.3966, simple_loss=0.4413, pruned_loss=0.176, over 14234.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04246, over 335.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3639, pruned_loss=0.1183, over 2782152.20 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06921, over 45251.81 utterances.], batch size: 335, lr: 4.09e-04
+2022-09-17 23:35:05,396 INFO [train.py:885] (0/2) Epoch 11, batch 12300, loss[loss=0.2788, simple_loss=0.3566, pruned_loss=0.1005, over 14341.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03815, over 244.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3672, pruned_loss=0.1206, over 2787689.92 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06839, over 45843.15 utterances.], batch size: 244, lr: 4.09e-04
+2022-09-17 23:35:35,606 INFO [train.py:885] (0/2) Epoch 11, batch 12350, loss[loss=0.345, simple_loss=0.4236, pruned_loss=0.1332, over 13782.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07099, over 411.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3688, pruned_loss=0.1219, over 2785393.31 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0695, over 46761.96 utterances.], batch size: 411, lr: 4.09e-04
+2022-09-17 23:36:05,191 INFO [train.py:885] (0/2) Epoch 11, batch 12400, loss[loss=0.3702, simple_loss=0.432, pruned_loss=0.1542, over 13970.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05785, over 365.00 utterances.], tot_loss[loss=0.3066, simple_loss=0.369, pruned_loss=0.1222, over 2781890.23 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07218, over 46972.33 utterances.], batch size: 365, lr: 4.09e-04
+2022-09-17 23:36:34,846 INFO [train.py:885] (0/2) Epoch 11, batch 12450, loss[loss=0.2501, simple_loss=0.3051, pruned_loss=0.0976, over 14262.00 frames. utt_duration=642.3 frames, utt_pad_proportion=0.04277, over 89.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3695, pruned_loss=0.122, over 2783754.78 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07196, over 47106.71 utterances.], batch size: 89, lr: 4.09e-04
+2022-09-17 23:37:04,351 INFO [train.py:885] (0/2) Epoch 11, batch 12500, loss[loss=0.2398, simple_loss=0.2999, pruned_loss=0.08981, over 13788.00 frames. utt_duration=800.9 frames, utt_pad_proportion=0.06766, over 69.00 utterances.], tot_loss[loss=0.3055, simple_loss=0.3676, pruned_loss=0.1217, over 2782075.94 frames. utt_duration=245.6 frames, utt_pad_proportion=0.071, over 45594.66 utterances.], batch size: 69, lr: 4.08e-04
+2022-09-17 23:37:33,755 INFO [train.py:885] (0/2) Epoch 11, batch 12550, loss[loss=0.2215, simple_loss=0.2919, pruned_loss=0.07557, over 13504.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.09087, over 50.00 utterances.], tot_loss[loss=0.3072, simple_loss=0.3687, pruned_loss=0.1228, over 2783836.99 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07023, over 45378.68 utterances.], batch size: 50, lr: 4.08e-04
+2022-09-17 23:38:01,663 INFO [train.py:885] (0/2) Epoch 11, batch 12600, loss[loss=0.3402, simple_loss=0.4, pruned_loss=0.1402, over 14270.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.0411, over 225.00 utterances.], tot_loss[loss=0.3089, simple_loss=0.3706, pruned_loss=0.1236, over 2778724.06 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07301, over 46384.39 utterances.], batch size: 225, lr: 4.08e-04
+2022-09-17 23:38:12,809 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-11.pt
+2022-09-17 23:38:20,538 INFO [train.py:885] (0/2) Epoch 12, batch 0, loss[loss=0.273, simple_loss=0.3569, pruned_loss=0.09451, over 14289.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03921, over 180.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3569, pruned_loss=0.09451, over 14289.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03921, over 180.00 utterances.], batch size: 180, lr: 3.94e-04
+2022-09-17 23:38:49,931 INFO [train.py:885] (0/2) Epoch 12, batch 50, loss[loss=0.225, simple_loss=0.2917, pruned_loss=0.07914, over 13980.00 frames. utt_duration=709.2 frames, utt_pad_proportion=0.06192, over 79.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.3837, pruned_loss=0.13, over 625962.79 frames. utt_duration=210.8 frames, utt_pad_proportion=0.08001, over 11961.05 utterances.], batch size: 79, lr: 3.94e-04
+2022-09-17 23:39:19,614 INFO [train.py:885] (0/2) Epoch 12, batch 100, loss[loss=0.2174, simple_loss=0.2984, pruned_loss=0.06818, over 14091.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05317, over 98.00 utterances.], tot_loss[loss=0.3192, simple_loss=0.3804, pruned_loss=0.129, over 1104536.48 frames. utt_duration=223.1 frames, utt_pad_proportion=0.07417, over 19935.66 utterances.], batch size: 98, lr: 3.94e-04
+2022-09-17 23:39:49,558 INFO [train.py:885] (0/2) Epoch 12, batch 150, loss[loss=0.3831, simple_loss=0.4225, pruned_loss=0.1718, over 14330.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03752, over 283.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3769, pruned_loss=0.1281, over 1474441.40 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07495, over 25596.52 utterances.], batch size: 283, lr: 3.94e-04
+2022-09-17 23:40:19,098 INFO [train.py:885] (0/2) Epoch 12, batch 200, loss[loss=0.2419, simple_loss=0.3016, pruned_loss=0.09114, over 14150.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04458, over 109.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3749, pruned_loss=0.126, over 1759630.50 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07623, over 30167.58 utterances.], batch size: 109, lr: 3.94e-04
+2022-09-17 23:40:48,350 INFO [train.py:885] (0/2) Epoch 12, batch 250, loss[loss=0.2033, simple_loss=0.2752, pruned_loss=0.06566, over 13394.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08652, over 41.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3737, pruned_loss=0.1251, over 1983933.04 frames. utt_duration=236 frames, utt_pad_proportion=0.0763, over 33842.16 utterances.], batch size: 41, lr: 3.94e-04
+2022-09-17 23:41:17,984 INFO [train.py:885] (0/2) Epoch 12, batch 300, loss[loss=0.2456, simple_loss=0.3051, pruned_loss=0.09301, over 14100.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05412, over 98.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3719, pruned_loss=0.1236, over 2162046.03 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07315, over 36601.83 utterances.], batch size: 98, lr: 3.93e-04
+2022-09-17 23:41:47,527 INFO [train.py:885] (0/2) Epoch 12, batch 350, loss[loss=0.1747, simple_loss=0.2168, pruned_loss=0.06635, over 13416.00 frames. utt_duration=2066 frames, utt_pad_proportion=0.09403, over 26.00 utterances.], tot_loss[loss=0.309, simple_loss=0.3719, pruned_loss=0.123, over 2299870.85 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07393, over 39614.60 utterances.], batch size: 26, lr: 3.93e-04
+2022-09-17 23:42:17,332 INFO [train.py:885] (0/2) Epoch 12, batch 400, loss[loss=0.2452, simple_loss=0.3184, pruned_loss=0.08601, over 14082.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.0537, over 98.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3734, pruned_loss=0.1239, over 2409536.13 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07208, over 41617.37 utterances.], batch size: 98, lr: 3.93e-04
+2022-09-17 23:42:46,643 INFO [train.py:885] (0/2) Epoch 12, batch 450, loss[loss=0.2758, simple_loss=0.3475, pruned_loss=0.102, over 14293.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.04165, over 154.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3728, pruned_loss=0.1238, over 2488766.09 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07254, over 42922.64 utterances.], batch size: 154, lr: 3.93e-04
+2022-09-17 23:43:16,370 INFO [train.py:885] (0/2) Epoch 12, batch 500, loss[loss=0.3468, simple_loss=0.405, pruned_loss=0.1443, over 14308.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03982, over 262.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3694, pruned_loss=0.1217, over 2549252.22 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07384, over 43237.13 utterances.], batch size: 262, lr: 3.93e-04
+2022-09-17 23:43:45,654 INFO [train.py:885] (0/2) Epoch 12, batch 550, loss[loss=0.3137, simple_loss=0.3772, pruned_loss=0.125, over 14255.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04143, over 180.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3719, pruned_loss=0.1236, over 2597043.37 frames. utt_duration=237.5 frames, utt_pad_proportion=0.074, over 44004.07 utterances.], batch size: 180, lr: 3.93e-04
+2022-09-17 23:44:16,042 INFO [train.py:885] (0/2) Epoch 12, batch 600, loss[loss=0.2935, simple_loss=0.3704, pruned_loss=0.1083, over 14343.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03694, over 210.00 utterances.], tot_loss[loss=0.313, simple_loss=0.3752, pruned_loss=0.1254, over 2638846.24 frames. utt_duration=228.1 frames, utt_pad_proportion=0.0743, over 46576.06 utterances.], batch size: 210, lr: 3.93e-04
+2022-09-17 23:44:45,407 INFO [train.py:885] (0/2) Epoch 12, batch 650, loss[loss=0.3073, simple_loss=0.3792, pruned_loss=0.1177, over 14346.00 frames. utt_duration=345 frames, utt_pad_proportion=0.0391, over 167.00 utterances.], tot_loss[loss=0.313, simple_loss=0.3752, pruned_loss=0.1254, over 2673885.13 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07243, over 46701.26 utterances.], batch size: 167, lr: 3.93e-04
+2022-09-17 23:45:15,167 INFO [train.py:885] (0/2) Epoch 12, batch 700, loss[loss=0.2511, simple_loss=0.3, pruned_loss=0.1011, over 14071.00 frames. utt_duration=805.4 frames, utt_pad_proportion=0.05911, over 70.00 utterances.], tot_loss[loss=0.3129, simple_loss=0.3755, pruned_loss=0.1251, over 2699190.74 frames. utt_duration=227.9 frames, utt_pad_proportion=0.0721, over 47688.07 utterances.], batch size: 70, lr: 3.93e-04
+2022-09-17 23:45:44,202 INFO [train.py:885] (0/2) Epoch 12, batch 750, loss[loss=0.3228, simple_loss=0.3864, pruned_loss=0.1296, over 14354.00 frames. utt_duration=296 frames, utt_pad_proportion=0.0357, over 195.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3739, pruned_loss=0.1254, over 2719148.05 frames. utt_duration=233 frames, utt_pad_proportion=0.07044, over 46986.31 utterances.], batch size: 195, lr: 3.93e-04
+2022-09-17 23:46:13,905 INFO [train.py:885] (0/2) Epoch 12, batch 800, loss[loss=0.2436, simple_loss=0.2867, pruned_loss=0.1002, over 13765.00 frames. utt_duration=1103 frames, utt_pad_proportion=0.06402, over 50.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.37, pruned_loss=0.1231, over 2729121.02 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07205, over 46204.67 utterances.], batch size: 50, lr: 3.93e-04
+2022-09-17 23:46:43,710 INFO [train.py:885] (0/2) Epoch 12, batch 850, loss[loss=0.3051, simple_loss=0.4008, pruned_loss=0.1047, over 13754.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07261, over 411.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3728, pruned_loss=0.1241, over 2743737.12 frames. utt_duration=233 frames, utt_pad_proportion=0.07218, over 47396.87 utterances.], batch size: 411, lr: 3.93e-04
+2022-09-17 23:47:13,179 INFO [train.py:885] (0/2) Epoch 12, batch 900, loss[loss=0.3845, simple_loss=0.454, pruned_loss=0.1575, over 13765.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07166, over 411.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3731, pruned_loss=0.124, over 2755256.77 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07093, over 47113.11 utterances.], batch size: 411, lr: 3.93e-04
+2022-09-17 23:47:43,105 INFO [train.py:885] (0/2) Epoch 12, batch 950, loss[loss=0.3711, simple_loss=0.4204, pruned_loss=0.1609, over 14359.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0329, over 244.00 utterances.], tot_loss[loss=0.308, simple_loss=0.3699, pruned_loss=0.123, over 2759506.48 frames. utt_duration=241.5 frames, utt_pad_proportion=0.071, over 45995.51 utterances.], batch size: 244, lr: 3.93e-04
+2022-09-17 23:48:19,400 INFO [train.py:885] (0/2) Epoch 12, batch 1000, loss[loss=0.2596, simple_loss=0.3215, pruned_loss=0.09889, over 14096.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.05137, over 98.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.3702, pruned_loss=0.1232, over 2766958.46 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07033, over 45744.47 utterances.], batch size: 98, lr: 3.92e-04
+2022-09-17 23:48:49,155 INFO [train.py:885] (0/2) Epoch 12, batch 1050, loss[loss=0.3282, simple_loss=0.3869, pruned_loss=0.1348, over 14340.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03945, over 167.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3623, pruned_loss=0.1189, over 2769954.87 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06757, over 42565.40 utterances.], batch size: 167, lr: 3.92e-04
+2022-09-17 23:49:18,519 INFO [train.py:885] (0/2) Epoch 12, batch 1100, loss[loss=0.3355, simple_loss=0.3919, pruned_loss=0.1395, over 14251.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04157, over 180.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3656, pruned_loss=0.1206, over 2770592.22 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07061, over 44311.93 utterances.], batch size: 180, lr: 3.92e-04
+2022-09-17 23:49:48,454 INFO [train.py:885] (0/2) Epoch 12, batch 1150, loss[loss=0.2188, simple_loss=0.2821, pruned_loss=0.0778, over 13549.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08715, over 50.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3636, pruned_loss=0.1194, over 2769792.68 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07133, over 44301.46 utterances.], batch size: 50, lr: 3.92e-04
+2022-09-17 23:50:06,389 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-140000.pt
+2022-09-17 23:50:18,746 INFO [train.py:885] (0/2) Epoch 12, batch 1200, loss[loss=0.1732, simple_loss=0.2565, pruned_loss=0.04495, over 12555.00 frames. utt_duration=2010 frames, utt_pad_proportion=0.142, over 25.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3619, pruned_loss=0.1182, over 2774662.85 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06964, over 43112.59 utterances.], batch size: 25, lr: 3.92e-04
+2022-09-17 23:50:48,333 INFO [train.py:885] (0/2) Epoch 12, batch 1250, loss[loss=0.6955, simple_loss=0.714, pruned_loss=0.3385, over 12541.00 frames. utt_duration=63.51 frames, utt_pad_proportion=0.1418, over 810.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3624, pruned_loss=0.1186, over 2776644.15 frames. utt_duration=257 frames, utt_pad_proportion=0.07056, over 43465.87 utterances.], batch size: 810, lr: 3.92e-04
+2022-09-17 23:51:18,140 INFO [train.py:885] (0/2) Epoch 12, batch 1300, loss[loss=0.314, simple_loss=0.3805, pruned_loss=0.1237, over 14315.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03955, over 262.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.3644, pruned_loss=0.1193, over 2782429.18 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06952, over 44189.58 utterances.], batch size: 262, lr: 3.92e-04
+2022-09-17 23:51:48,441 INFO [train.py:885] (0/2) Epoch 12, batch 1350, loss[loss=0.239, simple_loss=0.2971, pruned_loss=0.09048, over 14115.00 frames. utt_duration=716.1 frames, utt_pad_proportion=0.05281, over 79.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3681, pruned_loss=0.1211, over 2782872.64 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07013, over 45661.87 utterances.], batch size: 79, lr: 3.92e-04
+2022-09-17 23:52:18,117 INFO [train.py:885] (0/2) Epoch 12, batch 1400, loss[loss=0.2237, simple_loss=0.2943, pruned_loss=0.07652, over 14108.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05351, over 98.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3663, pruned_loss=0.1206, over 2786060.99 frames. utt_duration=248.9 frames, utt_pad_proportion=0.0678, over 45038.59 utterances.], batch size: 98, lr: 3.92e-04
+2022-09-17 23:52:46,939 INFO [train.py:885] (0/2) Epoch 12, batch 1450, loss[loss=0.3159, simple_loss=0.3779, pruned_loss=0.1269, over 14381.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03437, over 210.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3647, pruned_loss=0.1195, over 2786462.44 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06757, over 44802.74 utterances.], batch size: 210, lr: 3.92e-04
+2022-09-17 23:53:17,301 INFO [train.py:885] (0/2) Epoch 12, batch 1500, loss[loss=0.423, simple_loss=0.4505, pruned_loss=0.1977, over 14192.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04488, over 306.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3661, pruned_loss=0.1206, over 2789423.07 frames. utt_duration=252.3 frames, utt_pad_proportion=0.0663, over 44479.75 utterances.], batch size: 306, lr: 3.92e-04
+2022-09-17 23:53:46,862 INFO [train.py:885] (0/2) Epoch 12, batch 1550, loss[loss=0.1937, simple_loss=0.2548, pruned_loss=0.0663, over 13816.00 frames. utt_duration=1317 frames, utt_pad_proportion=0.0762, over 42.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3659, pruned_loss=0.1205, over 2788402.58 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06798, over 44422.96 utterances.], batch size: 42, lr: 3.92e-04
+2022-09-17 23:54:15,972 INFO [train.py:885] (0/2) Epoch 12, batch 1600, loss[loss=0.2617, simple_loss=0.3362, pruned_loss=0.09356, over 14284.00 frames. utt_duration=441 frames, utt_pad_proportion=0.04139, over 130.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3695, pruned_loss=0.1222, over 2783378.59 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07178, over 46547.37 utterances.], batch size: 130, lr: 3.92e-04
+2022-09-17 23:54:45,190 INFO [train.py:885] (0/2) Epoch 12, batch 1650, loss[loss=0.2181, simple_loss=0.3017, pruned_loss=0.06727, over 13641.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.0827, over 42.00 utterances.], tot_loss[loss=0.3063, simple_loss=0.3689, pruned_loss=0.1218, over 2781897.98 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07134, over 46355.11 utterances.], batch size: 42, lr: 3.92e-04
+2022-09-17 23:55:14,882 INFO [train.py:885] (0/2) Epoch 12, batch 1700, loss[loss=0.2685, simple_loss=0.3361, pruned_loss=0.1004, over 14208.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.04418, over 130.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.3662, pruned_loss=0.1213, over 2778265.83 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07131, over 44845.66 utterances.], batch size: 130, lr: 3.91e-04
+2022-09-17 23:55:44,380 INFO [train.py:885] (0/2) Epoch 12, batch 1750, loss[loss=0.3211, simple_loss=0.4072, pruned_loss=0.1175, over 13737.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07399, over 411.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3653, pruned_loss=0.1205, over 2781247.15 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06984, over 45221.36 utterances.], batch size: 411, lr: 3.91e-04
+2022-09-17 23:56:14,138 INFO [train.py:885] (0/2) Epoch 12, batch 1800, loss[loss=0.3686, simple_loss=0.4563, pruned_loss=0.1405, over 13660.00 frames. utt_duration=98.97 frames, utt_pad_proportion=0.07507, over 560.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3667, pruned_loss=0.1213, over 2780502.13 frames. utt_duration=246 frames, utt_pad_proportion=0.06943, over 45485.78 utterances.], batch size: 560, lr: 3.91e-04
+2022-09-17 23:56:43,623 INFO [train.py:885] (0/2) Epoch 12, batch 1850, loss[loss=0.2036, simple_loss=0.2607, pruned_loss=0.07328, over 12651.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.13, over 25.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3669, pruned_loss=0.1217, over 2779780.20 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07069, over 45011.99 utterances.], batch size: 25, lr: 3.91e-04
+2022-09-17 23:57:12,806 INFO [train.py:885] (0/2) Epoch 12, batch 1900, loss[loss=0.3591, simple_loss=0.4105, pruned_loss=0.1538, over 14399.00 frames. utt_duration=275.6 frames, utt_pad_proportion=0.033, over 210.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3673, pruned_loss=0.1221, over 2780626.11 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06987, over 45094.88 utterances.], batch size: 210, lr: 3.91e-04
+2022-09-17 23:57:42,223 INFO [train.py:885] (0/2) Epoch 12, batch 1950, loss[loss=0.3473, simple_loss=0.4098, pruned_loss=0.1424, over 14278.00 frames. utt_duration=254.3 frames, utt_pad_proportion=0.04052, over 226.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.366, pruned_loss=0.1212, over 2784910.40 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06726, over 44431.15 utterances.], batch size: 226, lr: 3.91e-04
+2022-09-17 23:58:11,006 INFO [train.py:885] (0/2) Epoch 12, batch 2000, loss[loss=0.4146, simple_loss=0.4448, pruned_loss=0.1922, over 14206.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04473, over 335.00 utterances.], tot_loss[loss=0.3056, simple_loss=0.3675, pruned_loss=0.1218, over 2785818.31 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06838, over 45871.13 utterances.], batch size: 335, lr: 3.91e-04
+2022-09-17 23:58:41,409 INFO [train.py:885] (0/2) Epoch 12, batch 2050, loss[loss=0.5085, simple_loss=0.5608, pruned_loss=0.2281, over 13128.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.3141, simple_loss=0.3751, pruned_loss=0.1266, over 2779424.50 frames. utt_duration=228.1 frames, utt_pad_proportion=0.07327, over 49048.44 utterances.], batch size: 653, lr: 3.91e-04
+2022-09-17 23:59:11,220 INFO [train.py:885] (0/2) Epoch 12, batch 2100, loss[loss=0.143, simple_loss=0.1902, pruned_loss=0.04789, over 13369.00 frames. utt_duration=1622 frames, utt_pad_proportion=0.103, over 33.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3776, pruned_loss=0.1266, over 2776494.87 frames. utt_duration=219.3 frames, utt_pad_proportion=0.07524, over 50994.85 utterances.], batch size: 33, lr: 3.91e-04
+2022-09-17 23:59:40,942 INFO [train.py:885] (0/2) Epoch 12, batch 2150, loss[loss=0.2366, simple_loss=0.295, pruned_loss=0.08913, over 13882.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06831, over 60.00 utterances.], tot_loss[loss=0.3062, simple_loss=0.368, pruned_loss=0.1221, over 2775907.01 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07221, over 46906.33 utterances.], batch size: 60, lr: 3.91e-04
+2022-09-18 00:00:11,164 INFO [train.py:885] (0/2) Epoch 12, batch 2200, loss[loss=0.2785, simple_loss=0.3518, pruned_loss=0.1026, over 14356.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03858, over 167.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3674, pruned_loss=0.1222, over 2778570.95 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07188, over 46111.47 utterances.], batch size: 167, lr: 3.91e-04
+2022-09-18 00:00:40,601 INFO [train.py:885] (0/2) Epoch 12, batch 2250, loss[loss=0.3525, simple_loss=0.414, pruned_loss=0.1455, over 13967.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05814, over 365.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.3649, pruned_loss=0.12, over 2784332.17 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06912, over 44826.71 utterances.], batch size: 365, lr: 3.91e-04
+2022-09-18 00:01:10,724 INFO [train.py:885] (0/2) Epoch 12, batch 2300, loss[loss=0.3472, simple_loss=0.4239, pruned_loss=0.1352, over 13986.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05713, over 365.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3669, pruned_loss=0.1208, over 2784653.94 frames. utt_duration=244.3 frames, utt_pad_proportion=0.06885, over 45861.83 utterances.], batch size: 365, lr: 3.91e-04
+2022-09-18 00:01:40,244 INFO [train.py:885] (0/2) Epoch 12, batch 2350, loss[loss=0.2818, simple_loss=0.3473, pruned_loss=0.1081, over 14308.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.04061, over 154.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.365, pruned_loss=0.1198, over 2787045.47 frames. utt_duration=247 frames, utt_pad_proportion=0.06782, over 45408.85 utterances.], batch size: 154, lr: 3.91e-04
+2022-09-18 00:02:10,169 INFO [train.py:885] (0/2) Epoch 12, batch 2400, loss[loss=0.3595, simple_loss=0.4097, pruned_loss=0.1547, over 14293.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03916, over 180.00 utterances.], tot_loss[loss=0.304, simple_loss=0.3659, pruned_loss=0.121, over 2784180.86 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06733, over 45500.32 utterances.], batch size: 180, lr: 3.91e-04
+2022-09-18 00:02:39,689 INFO [train.py:885] (0/2) Epoch 12, batch 2450, loss[loss=0.4517, simple_loss=0.5156, pruned_loss=0.1939, over 13610.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07869, over 560.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3617, pruned_loss=0.1187, over 2778585.37 frames. utt_duration=253.5 frames, utt_pad_proportion=0.0684, over 44100.01 utterances.], batch size: 560, lr: 3.90e-04
+2022-09-18 00:03:09,009 INFO [train.py:885] (0/2) Epoch 12, batch 2500, loss[loss=0.1998, simple_loss=0.2685, pruned_loss=0.0656, over 13790.00 frames. utt_duration=920.9 frames, utt_pad_proportion=0.07449, over 60.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3597, pruned_loss=0.1179, over 2779694.99 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06912, over 43299.18 utterances.], batch size: 60, lr: 3.90e-04
+2022-09-18 00:03:39,086 INFO [train.py:885] (0/2) Epoch 12, batch 2550, loss[loss=0.5201, simple_loss=0.6018, pruned_loss=0.2191, over 12457.00 frames. utt_duration=63.19 frames, utt_pad_proportion=0.146, over 810.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3635, pruned_loss=0.1197, over 2776919.00 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07227, over 44983.48 utterances.], batch size: 810, lr: 3.90e-04
+2022-09-18 00:04:08,634 INFO [train.py:885] (0/2) Epoch 12, batch 2600, loss[loss=0.337, simple_loss=0.3946, pruned_loss=0.1397, over 14279.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.0396, over 225.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.362, pruned_loss=0.1184, over 2777999.43 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07204, over 44476.60 utterances.], batch size: 225, lr: 3.90e-04
+2022-09-18 00:04:38,218 INFO [train.py:885] (0/2) Epoch 12, batch 2650, loss[loss=0.3087, simple_loss=0.3898, pruned_loss=0.1138, over 13941.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05992, over 365.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3652, pruned_loss=0.1205, over 2780870.14 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07148, over 45526.79 utterances.], batch size: 365, lr: 3.90e-04
+2022-09-18 00:05:07,197 INFO [train.py:885] (0/2) Epoch 12, batch 2700, loss[loss=0.3097, simple_loss=0.3798, pruned_loss=0.1198, over 14349.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03579, over 210.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3694, pruned_loss=0.1226, over 2780411.10 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07334, over 47269.77 utterances.], batch size: 210, lr: 3.90e-04
+2022-09-18 00:05:36,723 INFO [train.py:885] (0/2) Epoch 12, batch 2750, loss[loss=0.2721, simple_loss=0.3323, pruned_loss=0.1059, over 14305.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03801, over 130.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3661, pruned_loss=0.1208, over 2778182.39 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07396, over 46066.74 utterances.], batch size: 130, lr: 3.90e-04
+2022-09-18 00:06:06,781 INFO [train.py:885] (0/2) Epoch 12, batch 2800, loss[loss=0.2483, simple_loss=0.3114, pruned_loss=0.09264, over 14194.00 frames. utt_duration=639.5 frames, utt_pad_proportion=0.04839, over 89.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3694, pruned_loss=0.122, over 2779619.99 frames. utt_duration=235 frames, utt_pad_proportion=0.07479, over 47605.43 utterances.], batch size: 89, lr: 3.90e-04
+2022-09-18 00:06:36,185 INFO [train.py:885] (0/2) Epoch 12, batch 2850, loss[loss=0.2725, simple_loss=0.3387, pruned_loss=0.1031, over 14290.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03899, over 154.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3675, pruned_loss=0.1215, over 2785537.66 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07135, over 45683.49 utterances.], batch size: 154, lr: 3.90e-04
+2022-09-18 00:07:06,135 INFO [train.py:885] (0/2) Epoch 12, batch 2900, loss[loss=0.3352, simple_loss=0.3932, pruned_loss=0.1386, over 14365.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03262, over 244.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3636, pruned_loss=0.1196, over 2783287.29 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07197, over 44676.66 utterances.], batch size: 244, lr: 3.90e-04
+2022-09-18 00:07:35,871 INFO [train.py:885] (0/2) Epoch 12, batch 2950, loss[loss=0.299, simple_loss=0.3628, pruned_loss=0.1176, over 14241.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04607, over 141.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3644, pruned_loss=0.119, over 2780924.81 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07342, over 45521.98 utterances.], batch size: 141, lr: 3.90e-04
+2022-09-18 00:08:05,600 INFO [train.py:885] (0/2) Epoch 12, batch 3000, loss[loss=0.452, simple_loss=0.497, pruned_loss=0.2035, over 14030.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05576, over 366.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3647, pruned_loss=0.1197, over 2782695.35 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07111, over 44598.79 utterances.], batch size: 366, lr: 3.90e-04
+2022-09-18 00:08:05,601 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 00:08:10,307 INFO [train.py:914] (0/2) Epoch 12, validation: loss=0.204, simple_loss=0.2849, pruned_loss=0.06157, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 00:08:40,530 INFO [train.py:885] (0/2) Epoch 12, batch 3050, loss[loss=0.2729, simple_loss=0.3462, pruned_loss=0.09983, over 14327.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.0365, over 180.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3665, pruned_loss=0.1205, over 2781327.80 frames. utt_duration=247.7 frames, utt_pad_proportion=0.0729, over 45182.14 utterances.], batch size: 180, lr: 3.90e-04
+2022-09-18 00:09:08,995 INFO [train.py:885] (0/2) Epoch 12, batch 3100, loss[loss=0.229, simple_loss=0.3018, pruned_loss=0.07812, over 14271.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.0419, over 120.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3679, pruned_loss=0.1218, over 2783055.63 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07296, over 45270.31 utterances.], batch size: 120, lr: 3.90e-04
+2022-09-18 00:09:38,047 INFO [train.py:885] (0/2) Epoch 12, batch 3150, loss[loss=0.2088, simple_loss=0.2768, pruned_loss=0.07042, over 14118.00 frames. utt_duration=577.8 frames, utt_pad_proportion=0.05279, over 98.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3641, pruned_loss=0.1206, over 2786538.99 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07047, over 43762.15 utterances.], batch size: 98, lr: 3.89e-04
+2022-09-18 00:10:08,055 INFO [train.py:885] (0/2) Epoch 12, batch 3200, loss[loss=0.4742, simple_loss=0.5632, pruned_loss=0.1926, over 12480.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1455, over 810.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3621, pruned_loss=0.1195, over 2782401.38 frames. utt_duration=257.8 frames, utt_pad_proportion=0.07151, over 43410.79 utterances.], batch size: 810, lr: 3.89e-04
+2022-09-18 00:10:38,235 INFO [train.py:885] (0/2) Epoch 12, batch 3250, loss[loss=0.2751, simple_loss=0.3487, pruned_loss=0.1007, over 14288.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03883, over 130.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3647, pruned_loss=0.1212, over 2783184.35 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07173, over 44404.52 utterances.], batch size: 130, lr: 3.89e-04
+2022-09-18 00:11:08,031 INFO [train.py:885] (0/2) Epoch 12, batch 3300, loss[loss=0.2196, simple_loss=0.2804, pruned_loss=0.07942, over 14007.00 frames. utt_duration=710.9 frames, utt_pad_proportion=0.05969, over 79.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.3625, pruned_loss=0.1202, over 2785385.51 frames. utt_duration=257.6 frames, utt_pad_proportion=0.07024, over 43503.52 utterances.], batch size: 79, lr: 3.89e-04
+2022-09-18 00:11:37,281 INFO [train.py:885] (0/2) Epoch 12, batch 3350, loss[loss=0.3765, simple_loss=0.4455, pruned_loss=0.1538, over 13806.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06984, over 411.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3612, pruned_loss=0.1185, over 2786969.88 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06846, over 43495.15 utterances.], batch size: 411, lr: 3.89e-04
+2022-09-18 00:12:07,194 INFO [train.py:885] (0/2) Epoch 12, batch 3400, loss[loss=0.1759, simple_loss=0.2303, pruned_loss=0.06074, over 13153.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.09946, over 33.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3605, pruned_loss=0.1186, over 2788943.49 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06704, over 43108.71 utterances.], batch size: 33, lr: 3.89e-04
+2022-09-18 00:12:36,513 INFO [train.py:885] (0/2) Epoch 12, batch 3450, loss[loss=0.2825, simple_loss=0.3643, pruned_loss=0.1003, over 14310.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03889, over 195.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3596, pruned_loss=0.1178, over 2784760.45 frames. utt_duration=259.7 frames, utt_pad_proportion=0.07006, over 43146.06 utterances.], batch size: 195, lr: 3.89e-04
+2022-09-18 00:13:06,675 INFO [train.py:885] (0/2) Epoch 12, batch 3500, loss[loss=0.1446, simple_loss=0.1891, pruned_loss=0.05004, over 12712.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1371, over 25.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3587, pruned_loss=0.1175, over 2785661.17 frames. utt_duration=264 frames, utt_pad_proportion=0.06905, over 42444.66 utterances.], batch size: 25, lr: 3.89e-04
+2022-09-18 00:13:35,915 INFO [train.py:885] (0/2) Epoch 12, batch 3550, loss[loss=0.3027, simple_loss=0.3702, pruned_loss=0.1176, over 14267.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04447, over 141.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3614, pruned_loss=0.1186, over 2782955.87 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06979, over 44244.13 utterances.], batch size: 141, lr: 3.89e-04
+2022-09-18 00:14:06,030 INFO [train.py:885] (0/2) Epoch 12, batch 3600, loss[loss=0.2884, simple_loss=0.3828, pruned_loss=0.09705, over 13736.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07381, over 411.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3659, pruned_loss=0.1207, over 2783673.44 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07076, over 46190.24 utterances.], batch size: 411, lr: 3.89e-04
+2022-09-18 00:14:35,303 INFO [train.py:885] (0/2) Epoch 12, batch 3650, loss[loss=0.29, simple_loss=0.3696, pruned_loss=0.1052, over 14259.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04169, over 225.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3668, pruned_loss=0.1211, over 2782560.57 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07047, over 45784.13 utterances.], batch size: 225, lr: 3.89e-04
+2022-09-18 00:15:05,281 INFO [train.py:885] (0/2) Epoch 12, batch 3700, loss[loss=0.3523, simple_loss=0.4071, pruned_loss=0.1487, over 14218.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04313, over 306.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.365, pruned_loss=0.1191, over 2780800.25 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06948, over 45709.74 utterances.], batch size: 306, lr: 3.89e-04
+2022-09-18 00:15:35,155 INFO [train.py:885] (0/2) Epoch 12, batch 3750, loss[loss=0.2439, simple_loss=0.3073, pruned_loss=0.09031, over 14233.00 frames. utt_duration=641.1 frames, utt_pad_proportion=0.04318, over 89.00 utterances.], tot_loss[loss=0.3004, simple_loss=0.3647, pruned_loss=0.1181, over 2783896.20 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06911, over 46342.17 utterances.], batch size: 89, lr: 3.89e-04
+2022-09-18 00:16:13,699 INFO [train.py:885] (0/2) Epoch 12, batch 3800, loss[loss=0.6649, simple_loss=0.6911, pruned_loss=0.3194, over 12487.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1458, over 810.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3679, pruned_loss=0.1202, over 2786628.70 frames. utt_duration=240 frames, utt_pad_proportion=0.06891, over 46729.58 utterances.], batch size: 810, lr: 3.89e-04
+2022-09-18 00:16:43,869 INFO [train.py:885] (0/2) Epoch 12, batch 3850, loss[loss=0.3629, simple_loss=0.4175, pruned_loss=0.1542, over 14233.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04303, over 335.00 utterances.], tot_loss[loss=0.3082, simple_loss=0.3716, pruned_loss=0.1224, over 2789153.45 frames. utt_duration=234.7 frames, utt_pad_proportion=0.06932, over 47838.33 utterances.], batch size: 335, lr: 3.89e-04
+2022-09-18 00:17:12,902 INFO [train.py:885] (0/2) Epoch 12, batch 3900, loss[loss=0.2347, simple_loss=0.2986, pruned_loss=0.08542, over 14110.00 frames. utt_duration=635.6 frames, utt_pad_proportion=0.05417, over 89.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3677, pruned_loss=0.1209, over 2786463.54 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06974, over 46013.66 utterances.], batch size: 89, lr: 3.88e-04
+2022-09-18 00:17:42,709 INFO [train.py:885] (0/2) Epoch 12, batch 3950, loss[loss=0.3081, simple_loss=0.4055, pruned_loss=0.1053, over 13783.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07328, over 412.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3667, pruned_loss=0.1204, over 2783757.52 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07004, over 45792.47 utterances.], batch size: 412, lr: 3.88e-04
+2022-09-18 00:18:12,364 INFO [train.py:885] (0/2) Epoch 12, batch 4000, loss[loss=0.2136, simple_loss=0.2757, pruned_loss=0.07572, over 14079.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.0551, over 79.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3628, pruned_loss=0.1182, over 2774999.33 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07265, over 44936.40 utterances.], batch size: 79, lr: 3.88e-04
+2022-09-18 00:18:42,277 INFO [train.py:885] (0/2) Epoch 12, batch 4050, loss[loss=0.2292, simple_loss=0.2763, pruned_loss=0.09103, over 13830.00 frames. utt_duration=923.5 frames, utt_pad_proportion=0.06714, over 60.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3604, pruned_loss=0.1171, over 2774636.90 frames. utt_duration=252.6 frames, utt_pad_proportion=0.0718, over 44191.60 utterances.], batch size: 60, lr: 3.88e-04
+2022-09-18 00:19:11,890 INFO [train.py:885] (0/2) Epoch 12, batch 4100, loss[loss=0.3158, simple_loss=0.3825, pruned_loss=0.1245, over 14348.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03733, over 262.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.3644, pruned_loss=0.1191, over 2779547.81 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07093, over 45700.31 utterances.], batch size: 262, lr: 3.88e-04
+2022-09-18 00:19:41,810 INFO [train.py:885] (0/2) Epoch 12, batch 4150, loss[loss=0.2562, simple_loss=0.3173, pruned_loss=0.09757, over 14052.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05566, over 98.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3661, pruned_loss=0.1199, over 2778678.20 frames. utt_duration=239 frames, utt_pad_proportion=0.07226, over 46798.36 utterances.], batch size: 98, lr: 3.88e-04
+2022-09-18 00:20:11,383 INFO [train.py:885] (0/2) Epoch 12, batch 4200, loss[loss=0.3037, simple_loss=0.3693, pruned_loss=0.1191, over 14329.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04018, over 167.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3641, pruned_loss=0.1186, over 2778346.13 frames. utt_duration=244 frames, utt_pad_proportion=0.07216, over 45832.73 utterances.], batch size: 167, lr: 3.88e-04
+2022-09-18 00:20:41,082 INFO [train.py:885] (0/2) Epoch 12, batch 4250, loss[loss=0.2304, simple_loss=0.2946, pruned_loss=0.08317, over 14187.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04431, over 109.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3667, pruned_loss=0.1203, over 2781246.68 frames. utt_duration=240 frames, utt_pad_proportion=0.07185, over 46645.71 utterances.], batch size: 109, lr: 3.88e-04
+2022-09-18 00:21:10,505 INFO [train.py:885] (0/2) Epoch 12, batch 4300, loss[loss=0.2426, simple_loss=0.3055, pruned_loss=0.08983, over 14091.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05325, over 98.00 utterances.], tot_loss[loss=0.3066, simple_loss=0.37, pruned_loss=0.1216, over 2782563.89 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07231, over 47845.73 utterances.], batch size: 98, lr: 3.88e-04
+2022-09-18 00:21:40,384 INFO [train.py:885] (0/2) Epoch 12, batch 4350, loss[loss=0.1961, simple_loss=0.2623, pruned_loss=0.06498, over 14035.00 frames. utt_duration=712 frames, utt_pad_proportion=0.05818, over 79.00 utterances.], tot_loss[loss=0.3065, simple_loss=0.3702, pruned_loss=0.1214, over 2775400.93 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07583, over 48530.62 utterances.], batch size: 79, lr: 3.88e-04
+2022-09-18 00:22:10,017 INFO [train.py:885] (0/2) Epoch 12, batch 4400, loss[loss=0.3046, simple_loss=0.3668, pruned_loss=0.1212, over 14271.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04275, over 154.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3684, pruned_loss=0.121, over 2780278.66 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07344, over 47001.57 utterances.], batch size: 154, lr: 3.88e-04
+2022-09-18 00:22:39,767 INFO [train.py:885] (0/2) Epoch 12, batch 4450, loss[loss=0.3438, simple_loss=0.4138, pruned_loss=0.1369, over 14029.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05391, over 365.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3686, pruned_loss=0.1211, over 2784276.17 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07295, over 46724.45 utterances.], batch size: 365, lr: 3.88e-04
+2022-09-18 00:23:09,658 INFO [train.py:885] (0/2) Epoch 12, batch 4500, loss[loss=0.3577, simple_loss=0.4138, pruned_loss=0.1508, over 14226.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04348, over 306.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3699, pruned_loss=0.1225, over 2781436.35 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07278, over 47255.17 utterances.], batch size: 306, lr: 3.88e-04
+2022-09-18 00:23:38,723 INFO [train.py:885] (0/2) Epoch 12, batch 4550, loss[loss=0.4166, simple_loss=0.4931, pruned_loss=0.1701, over 13172.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.3085, simple_loss=0.3711, pruned_loss=0.123, over 2783302.02 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07168, over 47394.16 utterances.], batch size: 653, lr: 3.88e-04
+2022-09-18 00:24:08,171 INFO [train.py:885] (0/2) Epoch 12, batch 4600, loss[loss=0.309, simple_loss=0.3887, pruned_loss=0.1147, over 13990.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0564, over 365.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3719, pruned_loss=0.1233, over 2777499.68 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07401, over 48064.47 utterances.], batch size: 365, lr: 3.88e-04
+2022-09-18 00:24:37,761 INFO [train.py:885] (0/2) Epoch 12, batch 4650, loss[loss=0.1851, simple_loss=0.2512, pruned_loss=0.05943, over 13765.00 frames. utt_duration=919.2 frames, utt_pad_proportion=0.07711, over 60.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.373, pruned_loss=0.1236, over 2779970.64 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07269, over 48335.10 utterances.], batch size: 60, lr: 3.87e-04
+2022-09-18 00:25:07,963 INFO [train.py:885] (0/2) Epoch 12, batch 4700, loss[loss=0.2757, simple_loss=0.349, pruned_loss=0.1012, over 14251.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04544, over 141.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3704, pruned_loss=0.1221, over 2779501.61 frames. utt_duration=238 frames, utt_pad_proportion=0.07292, over 47001.84 utterances.], batch size: 141, lr: 3.87e-04
+2022-09-18 00:25:37,225 INFO [train.py:885] (0/2) Epoch 12, batch 4750, loss[loss=0.3243, simple_loss=0.3905, pruned_loss=0.129, over 14363.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03279, over 244.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3719, pruned_loss=0.1228, over 2780662.06 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07311, over 47548.83 utterances.], batch size: 244, lr: 3.87e-04
+2022-09-18 00:26:06,628 INFO [train.py:885] (0/2) Epoch 12, batch 4800, loss[loss=0.4251, simple_loss=0.5048, pruned_loss=0.1727, over 13204.00 frames. utt_duration=82.4 frames, utt_pad_proportion=0.1044, over 653.00 utterances.], tot_loss[loss=0.308, simple_loss=0.371, pruned_loss=0.1225, over 2778151.35 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07315, over 47260.27 utterances.], batch size: 653, lr: 3.87e-04
+2022-09-18 00:26:35,970 INFO [train.py:885] (0/2) Epoch 12, batch 4850, loss[loss=0.1976, simple_loss=0.2554, pruned_loss=0.0699, over 13819.00 frames. utt_duration=802.5 frames, utt_pad_proportion=0.06468, over 69.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3667, pruned_loss=0.1208, over 2780971.24 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07208, over 45253.35 utterances.], batch size: 69, lr: 3.87e-04
+2022-09-18 00:27:05,522 INFO [train.py:885] (0/2) Epoch 12, batch 4900, loss[loss=0.1801, simple_loss=0.257, pruned_loss=0.05156, over 13976.00 frames. utt_duration=709.2 frames, utt_pad_proportion=0.06066, over 79.00 utterances.], tot_loss[loss=0.3028, simple_loss=0.3658, pruned_loss=0.1199, over 2782157.98 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07141, over 45302.61 utterances.], batch size: 79, lr: 3.87e-04
+2022-09-18 00:27:35,044 INFO [train.py:885] (0/2) Epoch 12, batch 4950, loss[loss=0.1959, simple_loss=0.2574, pruned_loss=0.0672, over 13290.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09159, over 41.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3655, pruned_loss=0.1203, over 2782515.05 frames. utt_duration=247.1 frames, utt_pad_proportion=0.071, over 45314.84 utterances.], batch size: 41, lr: 3.87e-04
+2022-09-18 00:28:04,058 INFO [train.py:885] (0/2) Epoch 12, batch 5000, loss[loss=0.3973, simple_loss=0.434, pruned_loss=0.1803, over 14204.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04403, over 306.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3653, pruned_loss=0.121, over 2782030.06 frames. utt_duration=248.1 frames, utt_pad_proportion=0.0705, over 45116.40 utterances.], batch size: 306, lr: 3.87e-04
+2022-09-18 00:28:34,594 INFO [train.py:885] (0/2) Epoch 12, batch 5050, loss[loss=0.355, simple_loss=0.4143, pruned_loss=0.1479, over 14243.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04204, over 335.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.371, pruned_loss=0.1233, over 2778533.73 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07371, over 47859.21 utterances.], batch size: 335, lr: 3.87e-04
+2022-09-18 00:29:04,064 INFO [train.py:885] (0/2) Epoch 12, batch 5100, loss[loss=0.3091, simple_loss=0.4076, pruned_loss=0.1053, over 13595.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08283, over 477.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3669, pruned_loss=0.1213, over 2775358.42 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07407, over 46700.84 utterances.], batch size: 477, lr: 3.87e-04
+2022-09-18 00:29:33,938 INFO [train.py:885] (0/2) Epoch 12, batch 5150, loss[loss=0.1871, simple_loss=0.2435, pruned_loss=0.06532, over 12696.00 frames. utt_duration=2032 frames, utt_pad_proportion=0.1285, over 25.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3688, pruned_loss=0.123, over 2776454.30 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07465, over 47485.38 utterances.], batch size: 25, lr: 3.87e-04
+2022-09-18 00:29:52,268 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-144000.pt
+2022-09-18 00:30:03,694 INFO [train.py:885] (0/2) Epoch 12, batch 5200, loss[loss=0.3976, simple_loss=0.4853, pruned_loss=0.155, over 13149.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1085, over 653.00 utterances.], tot_loss[loss=0.3078, simple_loss=0.3693, pruned_loss=0.1232, over 2775250.08 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07632, over 47649.80 utterances.], batch size: 653, lr: 3.87e-04
+2022-09-18 00:30:33,363 INFO [train.py:885] (0/2) Epoch 12, batch 5250, loss[loss=0.4124, simple_loss=0.4449, pruned_loss=0.19, over 14223.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04378, over 335.00 utterances.], tot_loss[loss=0.3049, simple_loss=0.3658, pruned_loss=0.122, over 2777714.32 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07412, over 46102.06 utterances.], batch size: 335, lr: 3.87e-04
+2022-09-18 00:31:03,259 INFO [train.py:885] (0/2) Epoch 12, batch 5300, loss[loss=0.3304, simple_loss=0.394, pruned_loss=0.1334, over 14198.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04475, over 306.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.367, pruned_loss=0.1229, over 2779595.06 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07353, over 45937.89 utterances.], batch size: 306, lr: 3.87e-04
+2022-09-18 00:31:32,460 INFO [train.py:885] (0/2) Epoch 12, batch 5350, loss[loss=0.4993, simple_loss=0.5076, pruned_loss=0.2455, over 14210.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04447, over 306.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3687, pruned_loss=0.1233, over 2779460.62 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07364, over 46496.76 utterances.], batch size: 306, lr: 3.86e-04
+2022-09-18 00:32:01,860 INFO [train.py:885] (0/2) Epoch 12, batch 5400, loss[loss=0.267, simple_loss=0.3481, pruned_loss=0.09291, over 14332.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03743, over 195.00 utterances.], tot_loss[loss=0.3069, simple_loss=0.3692, pruned_loss=0.1223, over 2778163.97 frames. utt_duration=233 frames, utt_pad_proportion=0.07384, over 47998.34 utterances.], batch size: 195, lr: 3.86e-04
+2022-09-18 00:32:32,207 INFO [train.py:885] (0/2) Epoch 12, batch 5450, loss[loss=0.5804, simple_loss=0.6369, pruned_loss=0.262, over 12514.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1442, over 810.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3712, pruned_loss=0.1237, over 2780933.60 frames. utt_duration=230.3 frames, utt_pad_proportion=0.07454, over 48613.63 utterances.], batch size: 810, lr: 3.86e-04
+2022-09-18 00:33:01,864 INFO [train.py:885] (0/2) Epoch 12, batch 5500, loss[loss=0.3471, simple_loss=0.3996, pruned_loss=0.1473, over 14349.00 frames. utt_duration=345 frames, utt_pad_proportion=0.0389, over 167.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3677, pruned_loss=0.1215, over 2782757.50 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07319, over 46525.27 utterances.], batch size: 167, lr: 3.86e-04
+2022-09-18 00:33:30,507 INFO [train.py:885] (0/2) Epoch 12, batch 5550, loss[loss=0.3044, simple_loss=0.3751, pruned_loss=0.1169, over 14368.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03516, over 195.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3644, pruned_loss=0.1192, over 2778329.61 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07339, over 45534.55 utterances.], batch size: 195, lr: 3.86e-04
+2022-09-18 00:34:01,275 INFO [train.py:885] (0/2) Epoch 12, batch 5600, loss[loss=0.1903, simple_loss=0.2443, pruned_loss=0.06817, over 13833.00 frames. utt_duration=803.4 frames, utt_pad_proportion=0.0647, over 69.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3676, pruned_loss=0.1206, over 2779237.55 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07387, over 47417.91 utterances.], batch size: 69, lr: 3.86e-04
+2022-09-18 00:34:30,284 INFO [train.py:885] (0/2) Epoch 12, batch 5650, loss[loss=0.1851, simple_loss=0.2662, pruned_loss=0.05196, over 13738.00 frames. utt_duration=1101 frames, utt_pad_proportion=0.07597, over 50.00 utterances.], tot_loss[loss=0.3019, simple_loss=0.3649, pruned_loss=0.1194, over 2777529.81 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07282, over 46634.09 utterances.], batch size: 50, lr: 3.86e-04
+2022-09-18 00:35:00,085 INFO [train.py:885] (0/2) Epoch 12, batch 5700, loss[loss=0.2484, simple_loss=0.3048, pruned_loss=0.09603, over 14071.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05487, over 98.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.3667, pruned_loss=0.1211, over 2781646.92 frames. utt_duration=238.9 frames, utt_pad_proportion=0.0705, over 46858.34 utterances.], batch size: 98, lr: 3.86e-04
+2022-09-18 00:35:29,598 INFO [train.py:885] (0/2) Epoch 12, batch 5750, loss[loss=0.1565, simple_loss=0.2148, pruned_loss=0.04907, over 13464.00 frames. utt_duration=1633 frames, utt_pad_proportion=0.09454, over 33.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3636, pruned_loss=0.1192, over 2778328.48 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06998, over 45420.64 utterances.], batch size: 33, lr: 3.86e-04
+2022-09-18 00:35:59,523 INFO [train.py:885] (0/2) Epoch 12, batch 5800, loss[loss=0.1978, simple_loss=0.2591, pruned_loss=0.06826, over 13836.00 frames. utt_duration=803.6 frames, utt_pad_proportion=0.06228, over 69.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3683, pruned_loss=0.1212, over 2777956.98 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07264, over 47870.44 utterances.], batch size: 69, lr: 3.86e-04
+2022-09-18 00:36:28,677 INFO [train.py:885] (0/2) Epoch 12, batch 5850, loss[loss=0.5046, simple_loss=0.5014, pruned_loss=0.2539, over 14313.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03943, over 262.00 utterances.], tot_loss[loss=0.3107, simple_loss=0.3735, pruned_loss=0.124, over 2779429.25 frames. utt_duration=225 frames, utt_pad_proportion=0.07376, over 49739.80 utterances.], batch size: 262, lr: 3.86e-04
+2022-09-18 00:36:58,328 INFO [train.py:885] (0/2) Epoch 12, batch 5900, loss[loss=0.1719, simple_loss=0.2341, pruned_loss=0.05482, over 13270.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.0936, over 41.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3707, pruned_loss=0.1226, over 2780744.45 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07371, over 48490.36 utterances.], batch size: 41, lr: 3.86e-04
+2022-09-18 00:37:28,519 INFO [train.py:885] (0/2) Epoch 12, batch 5950, loss[loss=0.5183, simple_loss=0.5125, pruned_loss=0.262, over 14209.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04409, over 335.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3699, pruned_loss=0.1231, over 2784930.92 frames. utt_duration=236.4 frames, utt_pad_proportion=0.0718, over 47426.44 utterances.], batch size: 335, lr: 3.86e-04
+2022-09-18 00:37:58,583 INFO [train.py:885] (0/2) Epoch 12, batch 6000, loss[loss=0.3957, simple_loss=0.4372, pruned_loss=0.1771, over 14230.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04311, over 335.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.3722, pruned_loss=0.1236, over 2788430.39 frames. utt_duration=230.7 frames, utt_pad_proportion=0.06986, over 48665.48 utterances.], batch size: 335, lr: 3.86e-04
+2022-09-18 00:37:58,584 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 00:38:03,329 INFO [train.py:914] (0/2) Epoch 12, validation: loss=0.2036, simple_loss=0.281, pruned_loss=0.06309, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 00:38:33,064 INFO [train.py:885] (0/2) Epoch 12, batch 6050, loss[loss=0.2403, simple_loss=0.3129, pruned_loss=0.08389, over 14213.00 frames. utt_duration=523.1 frames, utt_pad_proportion=0.04194, over 109.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3701, pruned_loss=0.1219, over 2789847.46 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07003, over 47280.69 utterances.], batch size: 109, lr: 3.86e-04
+2022-09-18 00:39:01,820 INFO [train.py:885] (0/2) Epoch 12, batch 6100, loss[loss=0.3632, simple_loss=0.4094, pruned_loss=0.1584, over 14347.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03651, over 210.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3666, pruned_loss=0.1201, over 2789140.95 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06723, over 45701.23 utterances.], batch size: 210, lr: 3.85e-04
+2022-09-18 00:39:31,845 INFO [train.py:885] (0/2) Epoch 12, batch 6150, loss[loss=0.4117, simple_loss=0.4417, pruned_loss=0.1908, over 14329.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03817, over 283.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3691, pruned_loss=0.1209, over 2785064.56 frames. utt_duration=237.7 frames, utt_pad_proportion=0.06904, over 47151.76 utterances.], batch size: 283, lr: 3.85e-04
+2022-09-18 00:40:01,188 INFO [train.py:885] (0/2) Epoch 12, batch 6200, loss[loss=0.7579, simple_loss=0.7617, pruned_loss=0.377, over 12531.00 frames. utt_duration=63.48 frames, utt_pad_proportion=0.1422, over 810.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3664, pruned_loss=0.1202, over 2784392.16 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06919, over 45502.40 utterances.], batch size: 810, lr: 3.85e-04
+2022-09-18 00:40:30,116 INFO [train.py:885] (0/2) Epoch 12, batch 6250, loss[loss=0.303, simple_loss=0.3729, pruned_loss=0.1166, over 14363.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03527, over 210.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3647, pruned_loss=0.1198, over 2783186.25 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06912, over 45051.62 utterances.], batch size: 210, lr: 3.85e-04
+2022-09-18 00:40:59,768 INFO [train.py:885] (0/2) Epoch 12, batch 6300, loss[loss=0.318, simple_loss=0.3762, pruned_loss=0.1299, over 14325.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.0404, over 167.00 utterances.], tot_loss[loss=0.3019, simple_loss=0.3647, pruned_loss=0.1196, over 2786668.25 frames. utt_duration=251 frames, utt_pad_proportion=0.06712, over 44666.61 utterances.], batch size: 167, lr: 3.85e-04
+2022-09-18 00:41:29,048 INFO [train.py:885] (0/2) Epoch 12, batch 6350, loss[loss=0.1989, simple_loss=0.2706, pruned_loss=0.06359, over 14041.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.05768, over 79.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.3597, pruned_loss=0.1172, over 2784310.45 frames. utt_duration=262.6 frames, utt_pad_proportion=0.06692, over 42647.09 utterances.], batch size: 79, lr: 3.85e-04
+2022-09-18 00:41:58,805 INFO [train.py:885] (0/2) Epoch 12, batch 6400, loss[loss=0.6342, simple_loss=0.679, pruned_loss=0.2947, over 12439.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1486, over 810.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3627, pruned_loss=0.1186, over 2777581.89 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07195, over 44387.58 utterances.], batch size: 810, lr: 3.85e-04
+2022-09-18 00:42:27,989 INFO [train.py:885] (0/2) Epoch 12, batch 6450, loss[loss=0.2147, simple_loss=0.2816, pruned_loss=0.07388, over 14197.00 frames. utt_duration=639.5 frames, utt_pad_proportion=0.04832, over 89.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3638, pruned_loss=0.1191, over 2781623.97 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06924, over 44884.43 utterances.], batch size: 89, lr: 3.85e-04
+2022-09-18 00:42:57,465 INFO [train.py:885] (0/2) Epoch 12, batch 6500, loss[loss=0.2906, simple_loss=0.3596, pruned_loss=0.1108, over 14305.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03824, over 154.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3618, pruned_loss=0.1185, over 2780115.58 frames. utt_duration=255.7 frames, utt_pad_proportion=0.0686, over 43735.42 utterances.], batch size: 154, lr: 3.85e-04
+2022-09-18 00:43:27,124 INFO [train.py:885] (0/2) Epoch 12, batch 6550, loss[loss=0.3615, simple_loss=0.4095, pruned_loss=0.1568, over 14223.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04345, over 306.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3607, pruned_loss=0.1184, over 2776398.63 frames. utt_duration=258.9 frames, utt_pad_proportion=0.0692, over 43137.75 utterances.], batch size: 306, lr: 3.85e-04
+2022-09-18 00:43:57,095 INFO [train.py:885] (0/2) Epoch 12, batch 6600, loss[loss=0.3127, simple_loss=0.363, pruned_loss=0.1312, over 14309.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.04058, over 154.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3573, pruned_loss=0.1162, over 2773798.25 frames. utt_duration=263 frames, utt_pad_proportion=0.06946, over 42420.67 utterances.], batch size: 154, lr: 3.85e-04
+2022-09-18 00:44:26,436 INFO [train.py:885] (0/2) Epoch 12, batch 6650, loss[loss=0.329, simple_loss=0.3916, pruned_loss=0.1332, over 14303.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04018, over 262.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3571, pruned_loss=0.1157, over 2779472.24 frames. utt_duration=264.1 frames, utt_pad_proportion=0.0669, over 42333.41 utterances.], batch size: 262, lr: 3.85e-04
+2022-09-18 00:44:56,061 INFO [train.py:885] (0/2) Epoch 12, batch 6700, loss[loss=0.2827, simple_loss=0.3565, pruned_loss=0.1045, over 14305.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.042, over 167.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.359, pruned_loss=0.1161, over 2777749.30 frames. utt_duration=257.9 frames, utt_pad_proportion=0.0692, over 43331.58 utterances.], batch size: 167, lr: 3.85e-04
+2022-09-18 00:45:25,560 INFO [train.py:885] (0/2) Epoch 12, batch 6750, loss[loss=0.3547, simple_loss=0.407, pruned_loss=0.1512, over 14353.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03735, over 262.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3598, pruned_loss=0.1169, over 2779101.34 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06859, over 43325.04 utterances.], batch size: 262, lr: 3.85e-04
+2022-09-18 00:45:54,829 INFO [train.py:885] (0/2) Epoch 12, batch 6800, loss[loss=0.2851, simple_loss=0.356, pruned_loss=0.1071, over 14314.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03755, over 180.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.364, pruned_loss=0.1186, over 2781112.40 frames. utt_duration=248 frames, utt_pad_proportion=0.07009, over 45117.76 utterances.], batch size: 180, lr: 3.85e-04
+2022-09-18 00:46:24,420 INFO [train.py:885] (0/2) Epoch 12, batch 6850, loss[loss=0.1959, simple_loss=0.2645, pruned_loss=0.06367, over 13850.00 frames. utt_duration=804.2 frames, utt_pad_proportion=0.06377, over 69.00 utterances.], tot_loss[loss=0.296, simple_loss=0.3593, pruned_loss=0.1164, over 2778774.13 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06937, over 43367.87 utterances.], batch size: 69, lr: 3.84e-04
+2022-09-18 00:46:53,541 INFO [train.py:885] (0/2) Epoch 12, batch 6900, loss[loss=0.2524, simple_loss=0.3272, pruned_loss=0.08884, over 14269.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04421, over 141.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3595, pruned_loss=0.1158, over 2783278.01 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06929, over 43608.63 utterances.], batch size: 141, lr: 3.84e-04
+2022-09-18 00:47:23,395 INFO [train.py:885] (0/2) Epoch 12, batch 6950, loss[loss=0.2111, simple_loss=0.2712, pruned_loss=0.07547, over 12999.00 frames. utt_duration=2081 frames, utt_pad_proportion=0.1214, over 25.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3634, pruned_loss=0.1177, over 2775844.98 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07289, over 45188.69 utterances.], batch size: 25, lr: 3.84e-04
+2022-09-18 00:47:52,658 INFO [train.py:885] (0/2) Epoch 12, batch 7000, loss[loss=0.2858, simple_loss=0.3565, pruned_loss=0.1075, over 14270.00 frames. utt_duration=477 frames, utt_pad_proportion=0.04215, over 120.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3623, pruned_loss=0.1171, over 2780198.95 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06957, over 44259.12 utterances.], batch size: 120, lr: 3.84e-04
+2022-09-18 00:48:23,024 INFO [train.py:885] (0/2) Epoch 12, batch 7050, loss[loss=0.3327, simple_loss=0.3961, pruned_loss=0.1346, over 14333.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.03633, over 180.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3665, pruned_loss=0.12, over 2782284.20 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06961, over 45258.61 utterances.], batch size: 180, lr: 3.84e-04
+2022-09-18 00:48:52,456 INFO [train.py:885] (0/2) Epoch 12, batch 7100, loss[loss=0.3617, simple_loss=0.407, pruned_loss=0.1582, over 14282.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04, over 154.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3685, pruned_loss=0.121, over 2778445.06 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07267, over 46867.14 utterances.], batch size: 154, lr: 3.84e-04
+2022-09-18 00:49:21,920 INFO [train.py:885] (0/2) Epoch 12, batch 7150, loss[loss=0.5805, simple_loss=0.6367, pruned_loss=0.2621, over 12418.00 frames. utt_duration=62.86 frames, utt_pad_proportion=0.1505, over 810.00 utterances.], tot_loss[loss=0.3056, simple_loss=0.3693, pruned_loss=0.121, over 2775891.17 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07416, over 47420.81 utterances.], batch size: 810, lr: 3.84e-04
+2022-09-18 00:49:51,940 INFO [train.py:885] (0/2) Epoch 12, batch 7200, loss[loss=0.2458, simple_loss=0.31, pruned_loss=0.0908, over 14274.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04472, over 110.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3686, pruned_loss=0.1208, over 2778382.49 frames. utt_duration=236 frames, utt_pad_proportion=0.07274, over 47393.66 utterances.], batch size: 110, lr: 3.84e-04
+2022-09-18 00:50:20,934 INFO [train.py:885] (0/2) Epoch 12, batch 7250, loss[loss=0.2495, simple_loss=0.3238, pruned_loss=0.08764, over 14358.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.03661, over 130.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3656, pruned_loss=0.1192, over 2781681.06 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07138, over 46378.01 utterances.], batch size: 130, lr: 3.84e-04
+2022-09-18 00:50:50,922 INFO [train.py:885] (0/2) Epoch 12, batch 7300, loss[loss=0.4335, simple_loss=0.4588, pruned_loss=0.2041, over 14210.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04409, over 335.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.364, pruned_loss=0.1181, over 2777406.39 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07268, over 46499.74 utterances.], batch size: 335, lr: 3.84e-04
+2022-09-18 00:51:20,197 INFO [train.py:885] (0/2) Epoch 12, batch 7350, loss[loss=0.2066, simple_loss=0.2779, pruned_loss=0.06766, over 13411.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.09733, over 50.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.362, pruned_loss=0.1178, over 2779811.10 frames. utt_duration=251 frames, utt_pad_proportion=0.07011, over 44562.81 utterances.], batch size: 50, lr: 3.84e-04
+2022-09-18 00:51:49,713 INFO [train.py:885] (0/2) Epoch 12, batch 7400, loss[loss=0.2729, simple_loss=0.3435, pruned_loss=0.1011, over 14330.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03728, over 195.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3649, pruned_loss=0.1192, over 2779828.42 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07084, over 45810.38 utterances.], batch size: 195, lr: 3.84e-04
+2022-09-18 00:52:19,241 INFO [train.py:885] (0/2) Epoch 12, batch 7450, loss[loss=0.1858, simple_loss=0.2465, pruned_loss=0.06256, over 13640.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.0818, over 50.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3663, pruned_loss=0.1198, over 2778588.56 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07194, over 46705.64 utterances.], batch size: 50, lr: 3.84e-04
+2022-09-18 00:52:49,132 INFO [train.py:885] (0/2) Epoch 12, batch 7500, loss[loss=0.4266, simple_loss=0.5095, pruned_loss=0.1718, over 13111.00 frames. utt_duration=81.87 frames, utt_pad_proportion=0.1101, over 653.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3672, pruned_loss=0.1201, over 2776507.36 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07152, over 46695.51 utterances.], batch size: 653, lr: 3.84e-04
+2022-09-18 00:53:18,270 INFO [train.py:885] (0/2) Epoch 12, batch 7550, loss[loss=0.214, simple_loss=0.2764, pruned_loss=0.07581, over 14111.00 frames. utt_duration=807.9 frames, utt_pad_proportion=0.05729, over 70.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3661, pruned_loss=0.1196, over 2776885.54 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07243, over 46807.78 utterances.], batch size: 70, lr: 3.84e-04
+2022-09-18 00:53:47,808 INFO [train.py:885] (0/2) Epoch 12, batch 7600, loss[loss=0.4131, simple_loss=0.4411, pruned_loss=0.1926, over 14363.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03284, over 244.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3634, pruned_loss=0.1182, over 2777021.03 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07045, over 46064.67 utterances.], batch size: 244, lr: 3.84e-04
+2022-09-18 00:54:17,819 INFO [train.py:885] (0/2) Epoch 12, batch 7650, loss[loss=0.3538, simple_loss=0.4087, pruned_loss=0.1494, over 14220.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04431, over 335.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3644, pruned_loss=0.119, over 2777280.30 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07083, over 46694.97 utterances.], batch size: 335, lr: 3.83e-04
+2022-09-18 00:54:47,991 INFO [train.py:885] (0/2) Epoch 12, batch 7700, loss[loss=0.2126, simple_loss=0.2806, pruned_loss=0.07229, over 13996.00 frames. utt_duration=710.2 frames, utt_pad_proportion=0.0606, over 79.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3657, pruned_loss=0.1193, over 2773565.48 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07273, over 47038.80 utterances.], batch size: 79, lr: 3.83e-04
+2022-09-18 00:55:16,934 INFO [train.py:885] (0/2) Epoch 12, batch 7750, loss[loss=0.3721, simple_loss=0.4358, pruned_loss=0.1542, over 13780.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07101, over 411.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3664, pruned_loss=0.1203, over 2775158.09 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07259, over 46893.33 utterances.], batch size: 411, lr: 3.83e-04
+2022-09-18 00:55:46,486 INFO [train.py:885] (0/2) Epoch 12, batch 7800, loss[loss=0.2435, simple_loss=0.3095, pruned_loss=0.0887, over 14247.00 frames. utt_duration=524.3 frames, utt_pad_proportion=0.03976, over 109.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3673, pruned_loss=0.1207, over 2775263.40 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07406, over 47315.21 utterances.], batch size: 109, lr: 3.83e-04
+2022-09-18 00:56:15,715 INFO [train.py:885] (0/2) Epoch 12, batch 7850, loss[loss=0.1496, simple_loss=0.2031, pruned_loss=0.0481, over 12624.00 frames. utt_duration=2106 frames, utt_pad_proportion=0.1395, over 24.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3645, pruned_loss=0.1189, over 2776186.08 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07376, over 46788.79 utterances.], batch size: 24, lr: 3.83e-04
+2022-09-18 00:56:45,173 INFO [train.py:885] (0/2) Epoch 12, batch 7900, loss[loss=0.3276, simple_loss=0.397, pruned_loss=0.1291, over 14323.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03874, over 283.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3656, pruned_loss=0.1192, over 2779284.94 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07218, over 46892.44 utterances.], batch size: 283, lr: 3.83e-04
+2022-09-18 00:57:14,824 INFO [train.py:885] (0/2) Epoch 12, batch 7950, loss[loss=0.3597, simple_loss=0.4199, pruned_loss=0.1498, over 14266.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04116, over 335.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3672, pruned_loss=0.12, over 2782781.86 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07021, over 47241.43 utterances.], batch size: 335, lr: 3.83e-04
+2022-09-18 00:57:45,060 INFO [train.py:885] (0/2) Epoch 12, batch 8000, loss[loss=0.316, simple_loss=0.3764, pruned_loss=0.1278, over 14305.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.04198, over 167.00 utterances.], tot_loss[loss=0.307, simple_loss=0.37, pruned_loss=0.122, over 2782090.77 frames. utt_duration=235 frames, utt_pad_proportion=0.07071, over 47652.52 utterances.], batch size: 167, lr: 3.83e-04
+2022-09-18 00:58:14,553 INFO [train.py:885] (0/2) Epoch 12, batch 8050, loss[loss=0.3268, simple_loss=0.3871, pruned_loss=0.1333, over 14334.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03745, over 195.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3701, pruned_loss=0.1226, over 2779712.31 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07065, over 47276.36 utterances.], batch size: 195, lr: 3.83e-04
+2022-09-18 00:58:44,356 INFO [train.py:885] (0/2) Epoch 12, batch 8100, loss[loss=0.2955, simple_loss=0.346, pruned_loss=0.1225, over 14261.00 frames. utt_duration=476.6 frames, utt_pad_proportion=0.04301, over 120.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3701, pruned_loss=0.1229, over 2778973.72 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07312, over 47226.05 utterances.], batch size: 120, lr: 3.83e-04
+2022-09-18 00:59:14,091 INFO [train.py:885] (0/2) Epoch 12, batch 8150, loss[loss=0.1617, simple_loss=0.2055, pruned_loss=0.05902, over 12244.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.1637, over 24.00 utterances.], tot_loss[loss=0.3039, simple_loss=0.3655, pruned_loss=0.1211, over 2778332.08 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07154, over 45044.87 utterances.], batch size: 24, lr: 3.83e-04
+2022-09-18 00:59:43,346 INFO [train.py:885] (0/2) Epoch 12, batch 8200, loss[loss=0.3541, simple_loss=0.4219, pruned_loss=0.1431, over 13972.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05835, over 365.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3643, pruned_loss=0.1199, over 2783040.66 frames. utt_duration=250 frames, utt_pad_proportion=0.06971, over 44792.25 utterances.], batch size: 365, lr: 3.83e-04
+2022-09-18 01:00:12,808 INFO [train.py:885] (0/2) Epoch 12, batch 8250, loss[loss=0.3434, simple_loss=0.412, pruned_loss=0.1375, over 13963.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05799, over 365.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3625, pruned_loss=0.1187, over 2779940.13 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07109, over 44548.53 utterances.], batch size: 365, lr: 3.83e-04
+2022-09-18 01:00:42,109 INFO [train.py:885] (0/2) Epoch 12, batch 8300, loss[loss=0.2692, simple_loss=0.3419, pruned_loss=0.09829, over 14297.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03906, over 180.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3619, pruned_loss=0.1184, over 2778063.45 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07107, over 44218.82 utterances.], batch size: 180, lr: 3.83e-04
+2022-09-18 01:01:11,443 INFO [train.py:885] (0/2) Epoch 12, batch 8350, loss[loss=0.2916, simple_loss=0.3585, pruned_loss=0.1123, over 14349.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.0388, over 167.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3578, pruned_loss=0.1161, over 2776202.32 frames. utt_duration=261 frames, utt_pad_proportion=0.07058, over 42785.31 utterances.], batch size: 167, lr: 3.83e-04
+2022-09-18 01:01:40,637 INFO [train.py:885] (0/2) Epoch 12, batch 8400, loss[loss=0.5712, simple_loss=0.6346, pruned_loss=0.2539, over 12496.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1451, over 810.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3604, pruned_loss=0.118, over 2776206.02 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07292, over 44049.14 utterances.], batch size: 810, lr: 3.82e-04
+2022-09-18 01:02:10,320 INFO [train.py:885] (0/2) Epoch 12, batch 8450, loss[loss=0.3454, simple_loss=0.4388, pruned_loss=0.126, over 13666.00 frames. utt_duration=98.99 frames, utt_pad_proportion=0.07487, over 560.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3621, pruned_loss=0.1183, over 2775721.42 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07446, over 45018.68 utterances.], batch size: 560, lr: 3.82e-04
+2022-09-18 01:02:39,500 INFO [train.py:885] (0/2) Epoch 12, batch 8500, loss[loss=0.3468, simple_loss=0.3882, pruned_loss=0.1527, over 14289.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03936, over 180.00 utterances.], tot_loss[loss=0.305, simple_loss=0.367, pruned_loss=0.1215, over 2775561.40 frames. utt_duration=239.8 frames, utt_pad_proportion=0.0737, over 46579.95 utterances.], batch size: 180, lr: 3.82e-04
+2022-09-18 01:03:09,373 INFO [train.py:885] (0/2) Epoch 12, batch 8550, loss[loss=0.3292, simple_loss=0.3716, pruned_loss=0.1434, over 14324.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.04026, over 120.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3665, pruned_loss=0.1214, over 2771756.05 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07549, over 46142.07 utterances.], batch size: 120, lr: 3.82e-04
+2022-09-18 01:03:39,080 INFO [train.py:885] (0/2) Epoch 12, batch 8600, loss[loss=0.2501, simple_loss=0.3225, pruned_loss=0.08881, over 14229.00 frames. utt_duration=523.7 frames, utt_pad_proportion=0.04083, over 109.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3677, pruned_loss=0.1215, over 2769935.20 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07514, over 46715.45 utterances.], batch size: 109, lr: 3.82e-04
+2022-09-18 01:04:08,457 INFO [train.py:885] (0/2) Epoch 12, batch 8650, loss[loss=0.1762, simple_loss=0.2606, pruned_loss=0.04591, over 13766.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.07888, over 42.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3671, pruned_loss=0.1212, over 2775833.51 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07288, over 45957.38 utterances.], batch size: 42, lr: 3.82e-04
+2022-09-18 01:04:38,009 INFO [train.py:885] (0/2) Epoch 12, batch 8700, loss[loss=0.2659, simple_loss=0.3395, pruned_loss=0.09614, over 14252.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04326, over 141.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3661, pruned_loss=0.1199, over 2775760.70 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07253, over 46137.71 utterances.], batch size: 141, lr: 3.82e-04
+2022-09-18 01:05:07,768 INFO [train.py:885] (0/2) Epoch 12, batch 8750, loss[loss=0.2898, simple_loss=0.3673, pruned_loss=0.1061, over 14330.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04052, over 167.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3647, pruned_loss=0.1193, over 2773921.94 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07418, over 45546.76 utterances.], batch size: 167, lr: 3.82e-04
+2022-09-18 01:05:36,950 INFO [train.py:885] (0/2) Epoch 12, batch 8800, loss[loss=0.1982, simple_loss=0.2571, pruned_loss=0.06967, over 13441.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.0962, over 50.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3636, pruned_loss=0.118, over 2771394.83 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07431, over 45771.45 utterances.], batch size: 50, lr: 3.82e-04
+2022-09-18 01:06:06,245 INFO [train.py:885] (0/2) Epoch 12, batch 8850, loss[loss=0.1972, simple_loss=0.2445, pruned_loss=0.07495, over 12345.00 frames. utt_duration=2059 frames, utt_pad_proportion=0.1738, over 24.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.3631, pruned_loss=0.1181, over 2779802.99 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07155, over 44614.67 utterances.], batch size: 24, lr: 3.82e-04
+2022-09-18 01:06:35,916 INFO [train.py:885] (0/2) Epoch 12, batch 8900, loss[loss=0.3435, simple_loss=0.4344, pruned_loss=0.1263, over 13609.00 frames. utt_duration=98.57 frames, utt_pad_proportion=0.07877, over 560.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3635, pruned_loss=0.1176, over 2775251.16 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07516, over 45697.20 utterances.], batch size: 560, lr: 3.82e-04
+2022-09-18 01:07:05,885 INFO [train.py:885] (0/2) Epoch 12, batch 8950, loss[loss=0.2099, simple_loss=0.2696, pruned_loss=0.07513, over 13047.00 frames. utt_duration=1583 frames, utt_pad_proportion=0.1182, over 33.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.3628, pruned_loss=0.1183, over 2773654.08 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07526, over 45242.53 utterances.], batch size: 33, lr: 3.82e-04
+2022-09-18 01:07:35,947 INFO [train.py:885] (0/2) Epoch 12, batch 9000, loss[loss=0.3487, simple_loss=0.398, pruned_loss=0.1497, over 14344.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03901, over 167.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3639, pruned_loss=0.118, over 2770821.58 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07724, over 46420.38 utterances.], batch size: 167, lr: 3.82e-04
+2022-09-18 01:07:35,949 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 01:07:40,626 INFO [train.py:914] (0/2) Epoch 12, validation: loss=0.207, simple_loss=0.2853, pruned_loss=0.0644, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 01:08:09,834 INFO [train.py:885] (0/2) Epoch 12, batch 9050, loss[loss=0.2389, simple_loss=0.3118, pruned_loss=0.08306, over 14060.00 frames. utt_duration=575.3 frames, utt_pad_proportion=0.05691, over 98.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3653, pruned_loss=0.1185, over 2773947.92 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07677, over 46823.87 utterances.], batch size: 98, lr: 3.82e-04
+2022-09-18 01:08:40,061 INFO [train.py:885] (0/2) Epoch 12, batch 9100, loss[loss=0.5197, simple_loss=0.5169, pruned_loss=0.2613, over 14350.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03675, over 283.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3711, pruned_loss=0.1222, over 2776487.61 frames. utt_duration=232 frames, utt_pad_proportion=0.07765, over 48171.07 utterances.], batch size: 283, lr: 3.82e-04
+2022-09-18 01:09:09,231 INFO [train.py:885] (0/2) Epoch 12, batch 9150, loss[loss=0.4414, simple_loss=0.5271, pruned_loss=0.1779, over 13151.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.3678, pruned_loss=0.1205, over 2779764.37 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07419, over 46838.40 utterances.], batch size: 653, lr: 3.82e-04
+2022-09-18 01:09:28,223 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-148000.pt
+2022-09-18 01:09:39,552 INFO [train.py:885] (0/2) Epoch 12, batch 9200, loss[loss=0.1783, simple_loss=0.2369, pruned_loss=0.05981, over 12394.00 frames. utt_duration=1985 frames, utt_pad_proportion=0.1424, over 25.00 utterances.], tot_loss[loss=0.3022, simple_loss=0.3652, pruned_loss=0.1196, over 2782494.79 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07243, over 45564.07 utterances.], batch size: 25, lr: 3.81e-04
+2022-09-18 01:10:09,426 INFO [train.py:885] (0/2) Epoch 12, batch 9250, loss[loss=0.4461, simple_loss=0.5037, pruned_loss=0.1943, over 13702.00 frames. utt_duration=134.8 frames, utt_pad_proportion=0.07661, over 411.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3621, pruned_loss=0.118, over 2780254.29 frames. utt_duration=251 frames, utt_pad_proportion=0.07171, over 44565.98 utterances.], batch size: 411, lr: 3.81e-04
+2022-09-18 01:10:39,073 INFO [train.py:885] (0/2) Epoch 12, batch 9300, loss[loss=0.1878, simple_loss=0.2627, pruned_loss=0.0565, over 13882.00 frames. utt_duration=806.2 frames, utt_pad_proportion=0.06141, over 69.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.366, pruned_loss=0.12, over 2777691.56 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07352, over 46653.42 utterances.], batch size: 69, lr: 3.81e-04
+2022-09-18 01:11:07,906 INFO [train.py:885] (0/2) Epoch 12, batch 9350, loss[loss=0.2058, simple_loss=0.2708, pruned_loss=0.07043, over 13653.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08141, over 42.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3655, pruned_loss=0.1199, over 2785109.29 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07038, over 45829.57 utterances.], batch size: 42, lr: 3.81e-04
+2022-09-18 01:11:38,205 INFO [train.py:885] (0/2) Epoch 12, batch 9400, loss[loss=0.2543, simple_loss=0.3302, pruned_loss=0.08918, over 14299.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03839, over 130.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3685, pruned_loss=0.1209, over 2780826.76 frames. utt_duration=236.7 frames, utt_pad_proportion=0.0727, over 47287.51 utterances.], batch size: 130, lr: 3.81e-04
+2022-09-18 01:12:07,921 INFO [train.py:885] (0/2) Epoch 12, batch 9450, loss[loss=0.2637, simple_loss=0.3156, pruned_loss=0.1059, over 14090.00 frames. utt_duration=715.2 frames, utt_pad_proportion=0.05396, over 79.00 utterances.], tot_loss[loss=0.3085, simple_loss=0.3713, pruned_loss=0.1229, over 2775869.08 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07522, over 48284.95 utterances.], batch size: 79, lr: 3.81e-04
+2022-09-18 01:12:37,328 INFO [train.py:885] (0/2) Epoch 12, batch 9500, loss[loss=0.4566, simple_loss=0.4819, pruned_loss=0.2156, over 14220.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04431, over 335.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3668, pruned_loss=0.1209, over 2775175.39 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07325, over 46037.06 utterances.], batch size: 335, lr: 3.81e-04
+2022-09-18 01:13:06,875 INFO [train.py:885] (0/2) Epoch 12, batch 9550, loss[loss=0.2828, simple_loss=0.3333, pruned_loss=0.1161, over 14156.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04629, over 109.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3658, pruned_loss=0.1197, over 2778047.50 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07192, over 45936.04 utterances.], batch size: 109, lr: 3.81e-04
+2022-09-18 01:13:36,600 INFO [train.py:885] (0/2) Epoch 12, batch 9600, loss[loss=0.2373, simple_loss=0.3021, pruned_loss=0.08623, over 14293.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.04055, over 120.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.365, pruned_loss=0.1184, over 2783346.64 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07069, over 46155.29 utterances.], batch size: 120, lr: 3.81e-04
+2022-09-18 01:14:14,423 INFO [train.py:885] (0/2) Epoch 12, batch 9650, loss[loss=0.3466, simple_loss=0.433, pruned_loss=0.1301, over 13611.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08213, over 477.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3639, pruned_loss=0.1179, over 2782052.84 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07083, over 45686.93 utterances.], batch size: 477, lr: 3.81e-04
+2022-09-18 01:14:44,324 INFO [train.py:885] (0/2) Epoch 12, batch 9700, loss[loss=0.3027, simple_loss=0.3585, pruned_loss=0.1235, over 14292.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.0405, over 120.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.365, pruned_loss=0.1188, over 2788093.02 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06937, over 45561.59 utterances.], batch size: 120, lr: 3.81e-04
+2022-09-18 01:15:13,485 INFO [train.py:885] (0/2) Epoch 12, batch 9750, loss[loss=0.2159, simple_loss=0.2922, pruned_loss=0.06984, over 14156.00 frames. utt_duration=579.3 frames, utt_pad_proportion=0.04881, over 98.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3622, pruned_loss=0.1178, over 2785767.98 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06874, over 44694.92 utterances.], batch size: 98, lr: 3.81e-04
+2022-09-18 01:15:42,779 INFO [train.py:885] (0/2) Epoch 12, batch 9800, loss[loss=0.1751, simple_loss=0.2326, pruned_loss=0.05886, over 13058.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.124, over 33.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3619, pruned_loss=0.1181, over 2782058.73 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07117, over 44082.69 utterances.], batch size: 33, lr: 3.81e-04
+2022-09-18 01:16:11,802 INFO [train.py:885] (0/2) Epoch 12, batch 9850, loss[loss=0.2839, simple_loss=0.329, pruned_loss=0.1193, over 14166.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.04888, over 89.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3617, pruned_loss=0.119, over 2779511.00 frames. utt_duration=257.9 frames, utt_pad_proportion=0.07041, over 43353.97 utterances.], batch size: 89, lr: 3.81e-04
+2022-09-18 01:16:41,126 INFO [train.py:885] (0/2) Epoch 12, batch 9900, loss[loss=0.3063, simple_loss=0.3976, pruned_loss=0.1075, over 13732.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07453, over 411.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3616, pruned_loss=0.1182, over 2786044.12 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06631, over 43424.35 utterances.], batch size: 411, lr: 3.81e-04
+2022-09-18 01:17:10,902 INFO [train.py:885] (0/2) Epoch 12, batch 9950, loss[loss=0.3719, simple_loss=0.4346, pruned_loss=0.1546, over 14051.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05491, over 366.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3664, pruned_loss=0.121, over 2783902.08 frames. utt_duration=246 frames, utt_pad_proportion=0.07115, over 45543.00 utterances.], batch size: 366, lr: 3.80e-04
+2022-09-18 01:17:40,866 INFO [train.py:885] (0/2) Epoch 12, batch 10000, loss[loss=0.2088, simple_loss=0.2584, pruned_loss=0.07954, over 13360.00 frames. utt_duration=1621 frames, utt_pad_proportion=0.09751, over 33.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3671, pruned_loss=0.1211, over 2780448.84 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07442, over 46002.18 utterances.], batch size: 33, lr: 3.80e-04
+2022-09-18 01:18:09,719 INFO [train.py:885] (0/2) Epoch 12, batch 10050, loss[loss=0.3732, simple_loss=0.4233, pruned_loss=0.1615, over 14206.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04428, over 306.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3646, pruned_loss=0.1195, over 2784516.82 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07099, over 44120.51 utterances.], batch size: 306, lr: 3.80e-04
+2022-09-18 01:18:39,822 INFO [train.py:885] (0/2) Epoch 12, batch 10100, loss[loss=0.2075, simple_loss=0.2465, pruned_loss=0.08424, over 13296.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09267, over 41.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.367, pruned_loss=0.1208, over 2777865.25 frames. utt_duration=247.1 frames, utt_pad_proportion=0.0736, over 45241.51 utterances.], batch size: 41, lr: 3.80e-04
+2022-09-18 01:19:09,539 INFO [train.py:885] (0/2) Epoch 12, batch 10150, loss[loss=0.3272, simple_loss=0.3976, pruned_loss=0.1284, over 14344.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03656, over 210.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3639, pruned_loss=0.1187, over 2779899.75 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07251, over 44151.97 utterances.], batch size: 210, lr: 3.80e-04
+2022-09-18 01:19:39,824 INFO [train.py:885] (0/2) Epoch 12, batch 10200, loss[loss=0.1765, simple_loss=0.2391, pruned_loss=0.05696, over 13281.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.09966, over 33.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.365, pruned_loss=0.1189, over 2775131.05 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07411, over 45376.59 utterances.], batch size: 33, lr: 3.80e-04
+2022-09-18 01:20:08,839 INFO [train.py:885] (0/2) Epoch 12, batch 10250, loss[loss=0.5468, simple_loss=0.6178, pruned_loss=0.2379, over 12439.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3645, pruned_loss=0.1191, over 2780267.47 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07126, over 44614.62 utterances.], batch size: 810, lr: 3.80e-04
+2022-09-18 01:20:38,280 INFO [train.py:885] (0/2) Epoch 12, batch 10300, loss[loss=0.2786, simple_loss=0.3337, pruned_loss=0.1118, over 14281.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03922, over 130.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3663, pruned_loss=0.1203, over 2779294.29 frames. utt_duration=246.8 frames, utt_pad_proportion=0.0721, over 45315.35 utterances.], batch size: 130, lr: 3.80e-04
+2022-09-18 01:21:08,525 INFO [train.py:885] (0/2) Epoch 12, batch 10350, loss[loss=0.3973, simple_loss=0.4332, pruned_loss=0.1807, over 14319.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03884, over 283.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3667, pruned_loss=0.1203, over 2782705.84 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07006, over 45547.42 utterances.], batch size: 283, lr: 3.80e-04
+2022-09-18 01:21:37,230 INFO [train.py:885] (0/2) Epoch 12, batch 10400, loss[loss=0.3005, simple_loss=0.3723, pruned_loss=0.1144, over 14320.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03778, over 210.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3662, pruned_loss=0.1203, over 2783392.49 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06974, over 44926.89 utterances.], batch size: 210, lr: 3.80e-04
+2022-09-18 01:22:07,580 INFO [train.py:885] (0/2) Epoch 12, batch 10450, loss[loss=0.1488, simple_loss=0.1927, pruned_loss=0.05244, over 12372.00 frames. utt_duration=2064 frames, utt_pad_proportion=0.1709, over 24.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3672, pruned_loss=0.1209, over 2780824.88 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07034, over 45695.11 utterances.], batch size: 24, lr: 3.80e-04
+2022-09-18 01:22:38,873 INFO [train.py:885] (0/2) Epoch 12, batch 10500, loss[loss=0.2291, simple_loss=0.2833, pruned_loss=0.08748, over 13289.00 frames. utt_duration=2046 frames, utt_pad_proportion=0.09068, over 26.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3666, pruned_loss=0.1204, over 2780475.82 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06993, over 45469.91 utterances.], batch size: 26, lr: 3.80e-04
+2022-09-18 01:23:08,758 INFO [train.py:885] (0/2) Epoch 12, batch 10550, loss[loss=0.2799, simple_loss=0.3553, pruned_loss=0.1022, over 14275.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04399, over 141.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.367, pruned_loss=0.1207, over 2779894.78 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07151, over 45602.18 utterances.], batch size: 141, lr: 3.80e-04
+2022-09-18 01:23:38,446 INFO [train.py:885] (0/2) Epoch 12, batch 10600, loss[loss=0.1768, simple_loss=0.2234, pruned_loss=0.06509, over 13059.00 frames. utt_duration=1585 frames, utt_pad_proportion=0.1231, over 33.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3659, pruned_loss=0.1194, over 2777897.88 frames. utt_duration=243 frames, utt_pad_proportion=0.07242, over 46014.43 utterances.], batch size: 33, lr: 3.80e-04
+2022-09-18 01:24:08,013 INFO [train.py:885] (0/2) Epoch 12, batch 10650, loss[loss=0.2444, simple_loss=0.2984, pruned_loss=0.09522, over 14037.00 frames. utt_duration=712.2 frames, utt_pad_proportion=0.05667, over 79.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.3645, pruned_loss=0.1191, over 2778667.54 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07167, over 44655.07 utterances.], batch size: 79, lr: 3.80e-04
+2022-09-18 01:24:37,443 INFO [train.py:885] (0/2) Epoch 12, batch 10700, loss[loss=0.3899, simple_loss=0.4309, pruned_loss=0.1744, over 14273.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.0402, over 225.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3649, pruned_loss=0.119, over 2781217.97 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07198, over 45156.00 utterances.], batch size: 225, lr: 3.80e-04
+2022-09-18 01:25:16,270 INFO [train.py:885] (0/2) Epoch 12, batch 10750, loss[loss=0.2488, simple_loss=0.2789, pruned_loss=0.1094, over 12796.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1404, over 25.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3704, pruned_loss=0.1226, over 2779904.97 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07302, over 46675.00 utterances.], batch size: 25, lr: 3.79e-04
+2022-09-18 01:25:46,594 INFO [train.py:885] (0/2) Epoch 12, batch 10800, loss[loss=0.2466, simple_loss=0.3019, pruned_loss=0.09563, over 13344.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.09043, over 41.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3754, pruned_loss=0.1254, over 2781377.28 frames. utt_duration=230.8 frames, utt_pad_proportion=0.07336, over 48520.17 utterances.], batch size: 41, lr: 3.79e-04
+2022-09-18 01:26:15,584 INFO [train.py:885] (0/2) Epoch 12, batch 10850, loss[loss=0.3331, simple_loss=0.4202, pruned_loss=0.123, over 13625.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08086, over 477.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3761, pruned_loss=0.1254, over 2780540.51 frames. utt_duration=226.8 frames, utt_pad_proportion=0.07362, over 49359.58 utterances.], batch size: 477, lr: 3.79e-04
+2022-09-18 01:26:44,227 INFO [train.py:885] (0/2) Epoch 12, batch 10900, loss[loss=0.1848, simple_loss=0.2579, pruned_loss=0.05586, over 14015.00 frames. utt_duration=711.1 frames, utt_pad_proportion=0.05941, over 79.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3683, pruned_loss=0.1216, over 2783278.43 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07085, over 46032.78 utterances.], batch size: 79, lr: 3.79e-04
+2022-09-18 01:27:14,984 INFO [train.py:885] (0/2) Epoch 12, batch 10950, loss[loss=0.3129, simple_loss=0.3718, pruned_loss=0.127, over 14350.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03624, over 210.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3684, pruned_loss=0.1209, over 2782187.88 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07141, over 47094.15 utterances.], batch size: 210, lr: 3.79e-04
+2022-09-18 01:27:44,946 INFO [train.py:885] (0/2) Epoch 12, batch 11000, loss[loss=0.2875, simple_loss=0.3534, pruned_loss=0.1108, over 14263.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04462, over 141.00 utterances.], tot_loss[loss=0.305, simple_loss=0.3689, pruned_loss=0.1205, over 2782533.20 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07127, over 47583.66 utterances.], batch size: 141, lr: 3.79e-04
+2022-09-18 01:28:13,938 INFO [train.py:885] (0/2) Epoch 12, batch 11050, loss[loss=0.3355, simple_loss=0.397, pruned_loss=0.137, over 14271.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.041, over 225.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3686, pruned_loss=0.1205, over 2781955.13 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07088, over 47698.85 utterances.], batch size: 225, lr: 3.79e-04
+2022-09-18 01:28:43,577 INFO [train.py:885] (0/2) Epoch 12, batch 11100, loss[loss=0.2501, simple_loss=0.3141, pruned_loss=0.09307, over 14170.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.04495, over 109.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3679, pruned_loss=0.1194, over 2783335.01 frames. utt_duration=234.2 frames, utt_pad_proportion=0.0715, over 47845.45 utterances.], batch size: 109, lr: 3.79e-04
+2022-09-18 01:29:13,052 INFO [train.py:885] (0/2) Epoch 12, batch 11150, loss[loss=0.4483, simple_loss=0.5099, pruned_loss=0.1934, over 13717.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07506, over 411.00 utterances.], tot_loss[loss=0.303, simple_loss=0.367, pruned_loss=0.1195, over 2785014.82 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07053, over 47011.92 utterances.], batch size: 411, lr: 3.79e-04
+2022-09-18 01:29:43,141 INFO [train.py:885] (0/2) Epoch 12, batch 11200, loss[loss=0.538, simple_loss=0.6034, pruned_loss=0.2363, over 12514.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1442, over 810.00 utterances.], tot_loss[loss=0.3039, simple_loss=0.368, pruned_loss=0.1199, over 2780120.04 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07256, over 48084.79 utterances.], batch size: 810, lr: 3.79e-04
+2022-09-18 01:30:11,912 INFO [train.py:885] (0/2) Epoch 12, batch 11250, loss[loss=0.3255, simple_loss=0.386, pruned_loss=0.1325, over 14351.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03599, over 210.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3638, pruned_loss=0.118, over 2785845.40 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0694, over 45217.14 utterances.], batch size: 210, lr: 3.79e-04
+2022-09-18 01:30:41,939 INFO [train.py:885] (0/2) Epoch 12, batch 11300, loss[loss=0.2806, simple_loss=0.3582, pruned_loss=0.1015, over 14344.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03668, over 210.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.36, pruned_loss=0.1161, over 2783656.60 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06885, over 44168.06 utterances.], batch size: 210, lr: 3.79e-04
+2022-09-18 01:31:11,317 INFO [train.py:885] (0/2) Epoch 12, batch 11350, loss[loss=0.199, simple_loss=0.2567, pruned_loss=0.07066, over 13565.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.07732, over 50.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3615, pruned_loss=0.1167, over 2780699.79 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07098, over 45213.66 utterances.], batch size: 50, lr: 3.79e-04
+2022-09-18 01:31:41,048 INFO [train.py:885] (0/2) Epoch 12, batch 11400, loss[loss=0.1886, simple_loss=0.2515, pruned_loss=0.06285, over 13229.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1098, over 33.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3614, pruned_loss=0.1177, over 2783020.07 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06905, over 44404.58 utterances.], batch size: 33, lr: 3.79e-04
+2022-09-18 01:32:10,297 INFO [train.py:885] (0/2) Epoch 12, batch 11450, loss[loss=0.3362, simple_loss=0.4149, pruned_loss=0.1288, over 13791.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06994, over 411.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3625, pruned_loss=0.1186, over 2783214.68 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06765, over 44458.64 utterances.], batch size: 411, lr: 3.79e-04
+2022-09-18 01:32:40,742 INFO [train.py:885] (0/2) Epoch 12, batch 11500, loss[loss=0.3924, simple_loss=0.436, pruned_loss=0.1744, over 14221.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04408, over 335.00 utterances.], tot_loss[loss=0.305, simple_loss=0.3671, pruned_loss=0.1214, over 2780954.60 frames. utt_duration=243 frames, utt_pad_proportion=0.07126, over 46047.76 utterances.], batch size: 335, lr: 3.79e-04
+2022-09-18 01:33:10,110 INFO [train.py:885] (0/2) Epoch 12, batch 11550, loss[loss=0.2296, simple_loss=0.2984, pruned_loss=0.08038, over 14271.00 frames. utt_duration=477.2 frames, utt_pad_proportion=0.04185, over 120.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3697, pruned_loss=0.1225, over 2776945.79 frames. utt_duration=235.7 frames, utt_pad_proportion=0.074, over 47422.63 utterances.], batch size: 120, lr: 3.78e-04
+2022-09-18 01:33:39,751 INFO [train.py:885] (0/2) Epoch 12, batch 11600, loss[loss=0.3053, simple_loss=0.3734, pruned_loss=0.1186, over 14306.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03982, over 262.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.369, pruned_loss=0.1222, over 2779304.42 frames. utt_duration=239 frames, utt_pad_proportion=0.07255, over 46801.95 utterances.], batch size: 262, lr: 3.78e-04
+2022-09-18 01:34:08,975 INFO [train.py:885] (0/2) Epoch 12, batch 11650, loss[loss=0.3153, simple_loss=0.3607, pruned_loss=0.1349, over 14092.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.05146, over 98.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3681, pruned_loss=0.1227, over 2780449.37 frames. utt_duration=242 frames, utt_pad_proportion=0.0717, over 46246.29 utterances.], batch size: 98, lr: 3.78e-04
+2022-09-18 01:34:38,037 INFO [train.py:885] (0/2) Epoch 12, batch 11700, loss[loss=0.4325, simple_loss=0.5032, pruned_loss=0.1809, over 13163.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3691, pruned_loss=0.1228, over 2784436.79 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07207, over 46214.60 utterances.], batch size: 653, lr: 3.78e-04
+2022-09-18 01:35:07,763 INFO [train.py:885] (0/2) Epoch 12, batch 11750, loss[loss=0.656, simple_loss=0.6945, pruned_loss=0.3087, over 12460.00 frames. utt_duration=63.03 frames, utt_pad_proportion=0.1482, over 811.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3683, pruned_loss=0.1219, over 2781257.70 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07166, over 46430.09 utterances.], batch size: 811, lr: 3.78e-04
+2022-09-18 01:35:37,564 INFO [train.py:885] (0/2) Epoch 12, batch 11800, loss[loss=0.2032, simple_loss=0.2695, pruned_loss=0.06844, over 13700.00 frames. utt_duration=795.7 frames, utt_pad_proportion=0.07265, over 69.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3668, pruned_loss=0.1211, over 2780831.82 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07253, over 46079.23 utterances.], batch size: 69, lr: 3.78e-04
+2022-09-18 01:36:06,448 INFO [train.py:885] (0/2) Epoch 12, batch 11850, loss[loss=0.3493, simple_loss=0.4398, pruned_loss=0.1294, over 13616.00 frames. utt_duration=98.44 frames, utt_pad_proportion=0.08001, over 561.00 utterances.], tot_loss[loss=0.3089, simple_loss=0.3711, pruned_loss=0.1233, over 2784621.32 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07333, over 47429.87 utterances.], batch size: 561, lr: 3.78e-04
+2022-09-18 01:36:35,835 INFO [train.py:885] (0/2) Epoch 12, batch 11900, loss[loss=0.205, simple_loss=0.2703, pruned_loss=0.06983, over 13975.00 frames. utt_duration=933 frames, utt_pad_proportion=0.06324, over 60.00 utterances.], tot_loss[loss=0.3078, simple_loss=0.3702, pruned_loss=0.1227, over 2786766.90 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07253, over 47037.40 utterances.], batch size: 60, lr: 3.78e-04
+2022-09-18 01:37:05,516 INFO [train.py:885] (0/2) Epoch 12, batch 11950, loss[loss=0.3799, simple_loss=0.4422, pruned_loss=0.1589, over 14020.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05481, over 365.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3726, pruned_loss=0.1245, over 2786581.25 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07206, over 47765.15 utterances.], batch size: 365, lr: 3.78e-04
+2022-09-18 01:37:35,388 INFO [train.py:885] (0/2) Epoch 12, batch 12000, loss[loss=0.3576, simple_loss=0.404, pruned_loss=0.1556, over 14325.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03885, over 283.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3708, pruned_loss=0.1234, over 2786332.31 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07212, over 46833.77 utterances.], batch size: 283, lr: 3.78e-04
+2022-09-18 01:37:35,389 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 01:37:40,063 INFO [train.py:914] (0/2) Epoch 12, validation: loss=0.2007, simple_loss=0.2785, pruned_loss=0.06142, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 01:38:09,121 INFO [train.py:885] (0/2) Epoch 12, batch 12050, loss[loss=0.2246, simple_loss=0.3023, pruned_loss=0.07349, over 14172.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04968, over 89.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3705, pruned_loss=0.1226, over 2785719.17 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07243, over 47430.28 utterances.], batch size: 89, lr: 3.78e-04
+2022-09-18 01:38:39,093 INFO [train.py:885] (0/2) Epoch 12, batch 12100, loss[loss=0.4387, simple_loss=0.5187, pruned_loss=0.1794, over 13137.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3728, pruned_loss=0.1231, over 2783786.27 frames. utt_duration=229.9 frames, utt_pad_proportion=0.07241, over 48749.00 utterances.], batch size: 653, lr: 3.78e-04
+2022-09-18 01:39:09,167 INFO [train.py:885] (0/2) Epoch 12, batch 12150, loss[loss=0.3441, simple_loss=0.4042, pruned_loss=0.142, over 14329.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.03745, over 226.00 utterances.], tot_loss[loss=0.3075, simple_loss=0.3717, pruned_loss=0.1216, over 2778809.23 frames. utt_duration=226.1 frames, utt_pad_proportion=0.07364, over 49481.83 utterances.], batch size: 226, lr: 3.78e-04
+2022-09-18 01:39:39,088 INFO [train.py:885] (0/2) Epoch 12, batch 12200, loss[loss=0.3335, simple_loss=0.3918, pruned_loss=0.1376, over 14302.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03963, over 262.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3691, pruned_loss=0.1209, over 2779898.18 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07172, over 48548.61 utterances.], batch size: 262, lr: 3.78e-04
+2022-09-18 01:40:08,293 INFO [train.py:885] (0/2) Epoch 12, batch 12250, loss[loss=0.3112, simple_loss=0.3781, pruned_loss=0.1221, over 14327.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03829, over 283.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3663, pruned_loss=0.1195, over 2777155.44 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07211, over 47833.44 utterances.], batch size: 283, lr: 3.78e-04
+2022-09-18 01:40:38,764 INFO [train.py:885] (0/2) Epoch 12, batch 12300, loss[loss=0.2029, simple_loss=0.2677, pruned_loss=0.06903, over 13027.00 frames. utt_duration=2006 frames, utt_pad_proportion=0.1238, over 26.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3646, pruned_loss=0.1187, over 2777455.14 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07248, over 47296.70 utterances.], batch size: 26, lr: 3.78e-04
+2022-09-18 01:41:08,393 INFO [train.py:885] (0/2) Epoch 12, batch 12350, loss[loss=0.2503, simple_loss=0.2772, pruned_loss=0.1117, over 12937.00 frames. utt_duration=1992 frames, utt_pad_proportion=0.1341, over 26.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3665, pruned_loss=0.1199, over 2777020.00 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07256, over 47504.65 utterances.], batch size: 26, lr: 3.77e-04
+2022-09-18 01:41:37,562 INFO [train.py:885] (0/2) Epoch 12, batch 12400, loss[loss=0.2968, simple_loss=0.3595, pruned_loss=0.1171, over 14260.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04129, over 225.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.3658, pruned_loss=0.1186, over 2777525.00 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07285, over 47700.21 utterances.], batch size: 225, lr: 3.77e-04
+2022-09-18 01:42:07,109 INFO [train.py:885] (0/2) Epoch 12, batch 12450, loss[loss=0.3096, simple_loss=0.3768, pruned_loss=0.1213, over 14316.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04112, over 167.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3655, pruned_loss=0.1193, over 2772194.02 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07466, over 47271.28 utterances.], batch size: 167, lr: 3.77e-04
+2022-09-18 01:42:37,052 INFO [train.py:885] (0/2) Epoch 12, batch 12500, loss[loss=0.3004, simple_loss=0.3483, pruned_loss=0.1262, over 14034.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05836, over 98.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.366, pruned_loss=0.1195, over 2774762.08 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07469, over 47290.52 utterances.], batch size: 98, lr: 3.77e-04
+2022-09-18 01:43:06,851 INFO [train.py:885] (0/2) Epoch 12, batch 12550, loss[loss=0.5771, simple_loss=0.6273, pruned_loss=0.2634, over 12503.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1442, over 810.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3681, pruned_loss=0.121, over 2774629.35 frames. utt_duration=235 frames, utt_pad_proportion=0.07416, over 47518.41 utterances.], batch size: 810, lr: 3.77e-04
+2022-09-18 01:43:34,468 INFO [train.py:885] (0/2) Epoch 12, batch 12600, loss[loss=0.3143, simple_loss=0.3849, pruned_loss=0.1219, over 14354.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03522, over 210.00 utterances.], tot_loss[loss=0.3028, simple_loss=0.366, pruned_loss=0.1197, over 2777378.50 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07294, over 46457.08 utterances.], batch size: 210, lr: 3.77e-04
+2022-09-18 01:43:45,634 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-12.pt
+2022-09-18 01:43:53,088 INFO [train.py:885] (0/2) Epoch 13, batch 0, loss[loss=0.2922, simple_loss=0.3594, pruned_loss=0.1125, over 14321.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04033, over 167.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3594, pruned_loss=0.1125, over 14321.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04033, over 167.00 utterances.], batch size: 167, lr: 3.64e-04
+2022-09-18 01:44:22,833 INFO [train.py:885] (0/2) Epoch 13, batch 50, loss[loss=0.2443, simple_loss=0.3127, pruned_loss=0.08795, over 14100.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05263, over 98.00 utterances.], tot_loss[loss=0.3028, simple_loss=0.3655, pruned_loss=0.1201, over 627737.91 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07128, over 10033.24 utterances.], batch size: 98, lr: 3.64e-04
+2022-09-18 01:44:52,190 INFO [train.py:885] (0/2) Epoch 13, batch 100, loss[loss=0.337, simple_loss=0.3863, pruned_loss=0.1439, over 14281.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04267, over 154.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3699, pruned_loss=0.1224, over 1102893.73 frames. utt_duration=236 frames, utt_pad_proportion=0.07506, over 18813.90 utterances.], batch size: 154, lr: 3.64e-04
+2022-09-18 01:45:21,637 INFO [train.py:885] (0/2) Epoch 13, batch 150, loss[loss=0.2418, simple_loss=0.3106, pruned_loss=0.08647, over 14076.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.05392, over 79.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3625, pruned_loss=0.1182, over 1475637.17 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07308, over 23638.19 utterances.], batch size: 79, lr: 3.64e-04
+2022-09-18 01:45:51,523 INFO [train.py:885] (0/2) Epoch 13, batch 200, loss[loss=0.2317, simple_loss=0.2967, pruned_loss=0.08335, over 14204.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04664, over 89.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3687, pruned_loss=0.1198, over 1763315.78 frames. utt_duration=228.4 frames, utt_pad_proportion=0.07403, over 31084.09 utterances.], batch size: 89, lr: 3.64e-04
+2022-09-18 01:46:20,840 INFO [train.py:885] (0/2) Epoch 13, batch 250, loss[loss=0.3019, simple_loss=0.3687, pruned_loss=0.1176, over 14343.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03627, over 210.00 utterances.], tot_loss[loss=0.3022, simple_loss=0.3659, pruned_loss=0.1193, over 1994327.83 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07001, over 33606.15 utterances.], batch size: 210, lr: 3.64e-04
+2022-09-18 01:46:50,808 INFO [train.py:885] (0/2) Epoch 13, batch 300, loss[loss=0.2654, simple_loss=0.3244, pruned_loss=0.1032, over 14174.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04473, over 109.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3602, pruned_loss=0.116, over 2167912.69 frames. utt_duration=248 frames, utt_pad_proportion=0.06881, over 35183.67 utterances.], batch size: 109, lr: 3.64e-04
+2022-09-18 01:47:20,177 INFO [train.py:885] (0/2) Epoch 13, batch 350, loss[loss=0.2912, simple_loss=0.3524, pruned_loss=0.115, over 14393.00 frames. utt_duration=346.1 frames, utt_pad_proportion=0.03601, over 167.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3631, pruned_loss=0.1175, over 2303989.68 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07071, over 38451.38 utterances.], batch size: 167, lr: 3.64e-04
+2022-09-18 01:47:49,912 INFO [train.py:885] (0/2) Epoch 13, batch 400, loss[loss=0.3083, simple_loss=0.3702, pruned_loss=0.1232, over 14328.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04011, over 167.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3668, pruned_loss=0.1197, over 2404869.22 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07346, over 41656.10 utterances.], batch size: 167, lr: 3.64e-04
+2022-09-18 01:48:19,774 INFO [train.py:885] (0/2) Epoch 13, batch 450, loss[loss=0.3356, simple_loss=0.4284, pruned_loss=0.1214, over 13578.00 frames. utt_duration=98.3 frames, utt_pad_proportion=0.08129, over 560.00 utterances.], tot_loss[loss=0.3039, simple_loss=0.3687, pruned_loss=0.1196, over 2492938.80 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07158, over 43393.95 utterances.], batch size: 560, lr: 3.64e-04
+2022-09-18 01:48:49,294 INFO [train.py:885] (0/2) Epoch 13, batch 500, loss[loss=0.1972, simple_loss=0.2707, pruned_loss=0.06192, over 13942.00 frames. utt_duration=707.4 frames, utt_pad_proportion=0.06306, over 79.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3684, pruned_loss=0.1201, over 2556672.82 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07294, over 44025.35 utterances.], batch size: 79, lr: 3.64e-04
+2022-09-18 01:49:18,747 INFO [train.py:885] (0/2) Epoch 13, batch 550, loss[loss=0.2803, simple_loss=0.3506, pruned_loss=0.105, over 14346.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03667, over 195.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3633, pruned_loss=0.1173, over 2608134.69 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0701, over 42767.04 utterances.], batch size: 195, lr: 3.64e-04
+2022-09-18 01:49:25,668 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-152000.pt
+2022-09-18 01:49:48,793 INFO [train.py:885] (0/2) Epoch 13, batch 600, loss[loss=0.2524, simple_loss=0.3142, pruned_loss=0.09526, over 14334.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.0379, over 120.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3615, pruned_loss=0.116, over 2647214.82 frames. utt_duration=248.4 frames, utt_pad_proportion=0.0693, over 42883.79 utterances.], batch size: 120, lr: 3.64e-04
+2022-09-18 01:50:18,796 INFO [train.py:885] (0/2) Epoch 13, batch 650, loss[loss=0.3511, simple_loss=0.3858, pruned_loss=0.1582, over 14238.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04611, over 141.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3608, pruned_loss=0.1159, over 2673696.49 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07075, over 43308.44 utterances.], batch size: 141, lr: 3.64e-04
+2022-09-18 01:50:48,914 INFO [train.py:885] (0/2) Epoch 13, batch 700, loss[loss=0.3171, simple_loss=0.4012, pruned_loss=0.1165, over 13998.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05641, over 365.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3641, pruned_loss=0.1171, over 2697331.86 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07171, over 44950.60 utterances.], batch size: 365, lr: 3.64e-04
+2022-09-18 01:51:18,269 INFO [train.py:885] (0/2) Epoch 13, batch 750, loss[loss=0.2843, simple_loss=0.3493, pruned_loss=0.1096, over 14330.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04001, over 167.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3675, pruned_loss=0.1186, over 2718012.97 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07268, over 46460.62 utterances.], batch size: 167, lr: 3.64e-04
+2022-09-18 01:51:47,749 INFO [train.py:885] (0/2) Epoch 13, batch 800, loss[loss=0.3639, simple_loss=0.4093, pruned_loss=0.1593, over 14348.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03633, over 195.00 utterances.], tot_loss[loss=0.3019, simple_loss=0.3664, pruned_loss=0.1187, over 2731811.52 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07125, over 45956.19 utterances.], batch size: 195, lr: 3.63e-04
+2022-09-18 01:52:17,174 INFO [train.py:885] (0/2) Epoch 13, batch 850, loss[loss=0.3142, simple_loss=0.3809, pruned_loss=0.1237, over 14286.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.0396, over 154.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3672, pruned_loss=0.12, over 2744767.75 frames. utt_duration=241 frames, utt_pad_proportion=0.07101, over 45833.61 utterances.], batch size: 154, lr: 3.63e-04
+2022-09-18 01:52:47,299 INFO [train.py:885] (0/2) Epoch 13, batch 900, loss[loss=0.5906, simple_loss=0.6474, pruned_loss=0.2669, over 12505.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 810.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3672, pruned_loss=0.1193, over 2747888.04 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07411, over 47116.35 utterances.], batch size: 810, lr: 3.63e-04
+2022-09-18 01:53:16,513 INFO [train.py:885] (0/2) Epoch 13, batch 950, loss[loss=0.2954, simple_loss=0.3701, pruned_loss=0.1103, over 14335.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03715, over 195.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3669, pruned_loss=0.1198, over 2761372.66 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07164, over 46025.75 utterances.], batch size: 195, lr: 3.63e-04
+2022-09-18 01:53:46,320 INFO [train.py:885] (0/2) Epoch 13, batch 1000, loss[loss=0.2734, simple_loss=0.3427, pruned_loss=0.1021, over 14316.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03892, over 120.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3655, pruned_loss=0.1189, over 2761047.30 frames. utt_duration=243.7 frames, utt_pad_proportion=0.0708, over 45602.35 utterances.], batch size: 120, lr: 3.63e-04
+2022-09-18 01:54:15,860 INFO [train.py:885] (0/2) Epoch 13, batch 1050, loss[loss=0.2126, simple_loss=0.2605, pruned_loss=0.08234, over 13111.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1187, over 33.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3634, pruned_loss=0.1183, over 2764585.99 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06993, over 44515.29 utterances.], batch size: 33, lr: 3.63e-04
+2022-09-18 01:54:45,392 INFO [train.py:885] (0/2) Epoch 13, batch 1100, loss[loss=0.1751, simple_loss=0.2409, pruned_loss=0.0546, over 13027.00 frames. utt_duration=1273 frames, utt_pad_proportion=0.1107, over 41.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3625, pruned_loss=0.118, over 2767939.39 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06942, over 43485.47 utterances.], batch size: 41, lr: 3.63e-04
+2022-09-18 01:55:15,649 INFO [train.py:885] (0/2) Epoch 13, batch 1150, loss[loss=0.1717, simple_loss=0.2231, pruned_loss=0.06014, over 13649.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08119, over 50.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.37, pruned_loss=0.1224, over 2769461.48 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07163, over 46722.91 utterances.], batch size: 50, lr: 3.63e-04
+2022-09-18 01:55:43,942 INFO [train.py:885] (0/2) Epoch 13, batch 1200, loss[loss=0.3514, simple_loss=0.4456, pruned_loss=0.1286, over 13637.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.0771, over 560.00 utterances.], tot_loss[loss=0.3019, simple_loss=0.3651, pruned_loss=0.1193, over 2771798.92 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07152, over 45015.67 utterances.], batch size: 560, lr: 3.63e-04
+2022-09-18 01:56:14,228 INFO [train.py:885] (0/2) Epoch 13, batch 1250, loss[loss=0.3718, simple_loss=0.4174, pruned_loss=0.1631, over 14344.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03421, over 244.00 utterances.], tot_loss[loss=0.3028, simple_loss=0.3661, pruned_loss=0.1198, over 2769585.42 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07243, over 45774.26 utterances.], batch size: 244, lr: 3.63e-04
+2022-09-18 01:56:43,737 INFO [train.py:885] (0/2) Epoch 13, batch 1300, loss[loss=0.2907, simple_loss=0.3534, pruned_loss=0.114, over 14255.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04054, over 141.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3714, pruned_loss=0.1231, over 2770802.39 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07349, over 47409.80 utterances.], batch size: 141, lr: 3.63e-04
+2022-09-18 01:57:13,172 INFO [train.py:885] (0/2) Epoch 13, batch 1350, loss[loss=0.2724, simple_loss=0.3296, pruned_loss=0.1077, over 14068.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05472, over 79.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3683, pruned_loss=0.1218, over 2774045.85 frames. utt_duration=240.9 frames, utt_pad_proportion=0.0721, over 46354.28 utterances.], batch size: 79, lr: 3.63e-04
+2022-09-18 01:57:42,682 INFO [train.py:885] (0/2) Epoch 13, batch 1400, loss[loss=0.2541, simple_loss=0.3241, pruned_loss=0.09205, over 14315.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03759, over 130.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3691, pruned_loss=0.1213, over 2772056.21 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07392, over 47408.80 utterances.], batch size: 130, lr: 3.63e-04
+2022-09-18 01:58:12,621 INFO [train.py:885] (0/2) Epoch 13, batch 1450, loss[loss=0.3352, simple_loss=0.3981, pruned_loss=0.1362, over 14240.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04218, over 306.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3707, pruned_loss=0.1224, over 2777524.21 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07291, over 47967.67 utterances.], batch size: 306, lr: 3.63e-04
+2022-09-18 01:58:42,026 INFO [train.py:885] (0/2) Epoch 13, batch 1500, loss[loss=0.3521, simple_loss=0.4028, pruned_loss=0.1507, over 14310.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03915, over 283.00 utterances.], tot_loss[loss=0.3061, simple_loss=0.3694, pruned_loss=0.1214, over 2779065.70 frames. utt_duration=234.3 frames, utt_pad_proportion=0.0725, over 47753.14 utterances.], batch size: 283, lr: 3.63e-04
+2022-09-18 01:59:11,962 INFO [train.py:885] (0/2) Epoch 13, batch 1550, loss[loss=0.3071, simple_loss=0.37, pruned_loss=0.1221, over 14261.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04119, over 225.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3661, pruned_loss=0.1194, over 2780529.10 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07075, over 46274.00 utterances.], batch size: 225, lr: 3.63e-04
+2022-09-18 01:59:41,601 INFO [train.py:885] (0/2) Epoch 13, batch 1600, loss[loss=0.1587, simple_loss=0.2257, pruned_loss=0.04581, over 13075.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1221, over 33.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3679, pruned_loss=0.1197, over 2774878.25 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07359, over 47610.34 utterances.], batch size: 33, lr: 3.63e-04
+2022-09-18 02:00:10,882 INFO [train.py:885] (0/2) Epoch 13, batch 1650, loss[loss=0.2439, simple_loss=0.3053, pruned_loss=0.09128, over 13419.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.08713, over 50.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3663, pruned_loss=0.1197, over 2782985.91 frames. utt_duration=244 frames, utt_pad_proportion=0.07089, over 45897.53 utterances.], batch size: 50, lr: 3.62e-04
+2022-09-18 02:00:39,924 INFO [train.py:885] (0/2) Epoch 13, batch 1700, loss[loss=0.276, simple_loss=0.3455, pruned_loss=0.1033, over 14273.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04406, over 141.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3645, pruned_loss=0.1195, over 2782880.98 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06993, over 44952.36 utterances.], batch size: 141, lr: 3.62e-04
+2022-09-18 02:01:09,374 INFO [train.py:885] (0/2) Epoch 13, batch 1750, loss[loss=0.3638, simple_loss=0.4142, pruned_loss=0.1567, over 14303.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04015, over 262.00 utterances.], tot_loss[loss=0.3022, simple_loss=0.3643, pruned_loss=0.12, over 2786779.12 frames. utt_duration=255 frames, utt_pad_proportion=0.06732, over 43972.77 utterances.], batch size: 262, lr: 3.62e-04
+2022-09-18 02:01:39,487 INFO [train.py:885] (0/2) Epoch 13, batch 1800, loss[loss=0.1728, simple_loss=0.2252, pruned_loss=0.06024, over 13422.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08322, over 41.00 utterances.], tot_loss[loss=0.3061, simple_loss=0.3682, pruned_loss=0.122, over 2782070.04 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07154, over 46187.58 utterances.], batch size: 41, lr: 3.62e-04
+2022-09-18 02:02:09,148 INFO [train.py:885] (0/2) Epoch 13, batch 1850, loss[loss=0.3276, simple_loss=0.4142, pruned_loss=0.1205, over 13732.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07396, over 411.00 utterances.], tot_loss[loss=0.3066, simple_loss=0.3696, pruned_loss=0.1219, over 2775154.25 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07578, over 47919.96 utterances.], batch size: 411, lr: 3.62e-04
+2022-09-18 02:02:38,764 INFO [train.py:885] (0/2) Epoch 13, batch 1900, loss[loss=0.1417, simple_loss=0.2038, pruned_loss=0.03982, over 12281.00 frames. utt_duration=2048 frames, utt_pad_proportion=0.1619, over 24.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3672, pruned_loss=0.1205, over 2778183.16 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07411, over 47031.48 utterances.], batch size: 24, lr: 3.62e-04
+2022-09-18 02:03:08,112 INFO [train.py:885] (0/2) Epoch 13, batch 1950, loss[loss=0.2599, simple_loss=0.3255, pruned_loss=0.09712, over 14307.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03921, over 120.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3687, pruned_loss=0.1213, over 2781298.03 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07518, over 46892.69 utterances.], batch size: 120, lr: 3.62e-04
+2022-09-18 02:03:38,069 INFO [train.py:885] (0/2) Epoch 13, batch 2000, loss[loss=0.2799, simple_loss=0.3391, pruned_loss=0.1103, over 14345.00 frames. utt_duration=479.5 frames, utt_pad_proportion=0.03514, over 120.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3685, pruned_loss=0.1211, over 2779278.62 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07503, over 46942.60 utterances.], batch size: 120, lr: 3.62e-04
+2022-09-18 02:04:07,298 INFO [train.py:885] (0/2) Epoch 13, batch 2050, loss[loss=0.2647, simple_loss=0.3358, pruned_loss=0.09674, over 14218.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.04517, over 130.00 utterances.], tot_loss[loss=0.3004, simple_loss=0.3636, pruned_loss=0.1185, over 2778616.46 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07389, over 45572.32 utterances.], batch size: 130, lr: 3.62e-04
+2022-09-18 02:04:37,392 INFO [train.py:885] (0/2) Epoch 13, batch 2100, loss[loss=0.3831, simple_loss=0.4246, pruned_loss=0.1707, over 14224.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04363, over 306.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3649, pruned_loss=0.119, over 2781666.31 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07196, over 46058.14 utterances.], batch size: 306, lr: 3.62e-04
+2022-09-18 02:05:06,654 INFO [train.py:885] (0/2) Epoch 13, batch 2150, loss[loss=0.297, simple_loss=0.368, pruned_loss=0.1131, over 14302.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04145, over 154.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3654, pruned_loss=0.1187, over 2778416.50 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07369, over 46274.25 utterances.], batch size: 154, lr: 3.62e-04
+2022-09-18 02:05:36,148 INFO [train.py:885] (0/2) Epoch 13, batch 2200, loss[loss=0.4352, simple_loss=0.4616, pruned_loss=0.2044, over 14237.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04259, over 335.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3655, pruned_loss=0.1184, over 2780548.11 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07267, over 46613.03 utterances.], batch size: 335, lr: 3.62e-04
+2022-09-18 02:06:06,235 INFO [train.py:885] (0/2) Epoch 13, batch 2250, loss[loss=0.2442, simple_loss=0.294, pruned_loss=0.09717, over 13653.00 frames. utt_duration=911.7 frames, utt_pad_proportion=0.08375, over 60.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3657, pruned_loss=0.1191, over 2774899.08 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07272, over 46707.97 utterances.], batch size: 60, lr: 3.62e-04
+2022-09-18 02:06:35,659 INFO [train.py:885] (0/2) Epoch 13, batch 2300, loss[loss=0.1963, simple_loss=0.2597, pruned_loss=0.06647, over 13698.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.07888, over 42.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.3654, pruned_loss=0.1188, over 2775979.73 frames. utt_duration=241 frames, utt_pad_proportion=0.07424, over 46364.39 utterances.], batch size: 42, lr: 3.62e-04
+2022-09-18 02:07:05,313 INFO [train.py:885] (0/2) Epoch 13, batch 2350, loss[loss=0.3638, simple_loss=0.4169, pruned_loss=0.1554, over 14217.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04293, over 306.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3636, pruned_loss=0.119, over 2774505.88 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07392, over 45114.00 utterances.], batch size: 306, lr: 3.62e-04
+2022-09-18 02:07:35,126 INFO [train.py:885] (0/2) Epoch 13, batch 2400, loss[loss=0.2716, simple_loss=0.3419, pruned_loss=0.1006, over 14306.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03806, over 130.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3629, pruned_loss=0.1183, over 2778229.51 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07204, over 44444.59 utterances.], batch size: 130, lr: 3.62e-04
+2022-09-18 02:08:04,916 INFO [train.py:885] (0/2) Epoch 13, batch 2450, loss[loss=0.2153, simple_loss=0.2841, pruned_loss=0.07327, over 13864.00 frames. utt_duration=925.9 frames, utt_pad_proportion=0.07043, over 60.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3612, pruned_loss=0.1178, over 2783391.52 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06893, over 43130.72 utterances.], batch size: 60, lr: 3.62e-04
+2022-09-18 02:08:35,113 INFO [train.py:885] (0/2) Epoch 13, batch 2500, loss[loss=0.167, simple_loss=0.2186, pruned_loss=0.05769, over 13184.00 frames. utt_duration=1288 frames, utt_pad_proportion=0.1015, over 41.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.363, pruned_loss=0.118, over 2782346.77 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07041, over 44742.04 utterances.], batch size: 41, lr: 3.61e-04
+2022-09-18 02:09:04,008 INFO [train.py:885] (0/2) Epoch 13, batch 2550, loss[loss=0.3755, simple_loss=0.4214, pruned_loss=0.1648, over 14243.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04207, over 335.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.358, pruned_loss=0.1156, over 2780586.87 frames. utt_duration=262 frames, utt_pad_proportion=0.06705, over 42689.96 utterances.], batch size: 335, lr: 3.61e-04
+2022-09-18 02:09:33,703 INFO [train.py:885] (0/2) Epoch 13, batch 2600, loss[loss=0.3146, simple_loss=0.3886, pruned_loss=0.1203, over 14339.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03683, over 195.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3613, pruned_loss=0.1172, over 2778900.61 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06795, over 44475.93 utterances.], batch size: 195, lr: 3.61e-04
+2022-09-18 02:10:03,038 INFO [train.py:885] (0/2) Epoch 13, batch 2650, loss[loss=0.3756, simple_loss=0.4105, pruned_loss=0.1703, over 14287.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03939, over 180.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3628, pruned_loss=0.1181, over 2782244.06 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06806, over 44640.42 utterances.], batch size: 180, lr: 3.61e-04
+2022-09-18 02:10:31,577 INFO [train.py:885] (0/2) Epoch 13, batch 2700, loss[loss=0.3606, simple_loss=0.4234, pruned_loss=0.1489, over 14016.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05484, over 365.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3583, pruned_loss=0.1164, over 2781699.15 frames. utt_duration=262 frames, utt_pad_proportion=0.06643, over 42703.35 utterances.], batch size: 365, lr: 3.61e-04
+2022-09-18 02:11:01,367 INFO [train.py:885] (0/2) Epoch 13, batch 2750, loss[loss=0.3005, simple_loss=0.37, pruned_loss=0.1156, over 14354.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03635, over 195.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3621, pruned_loss=0.1189, over 2779092.15 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06875, over 43959.51 utterances.], batch size: 195, lr: 3.61e-04
+2022-09-18 02:11:31,374 INFO [train.py:885] (0/2) Epoch 13, batch 2800, loss[loss=0.2712, simple_loss=0.3475, pruned_loss=0.09743, over 14260.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04098, over 180.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3619, pruned_loss=0.1187, over 2776167.16 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07046, over 44259.36 utterances.], batch size: 180, lr: 3.61e-04
+2022-09-18 02:12:01,171 INFO [train.py:885] (0/2) Epoch 13, batch 2850, loss[loss=0.3018, simple_loss=0.3653, pruned_loss=0.1192, over 14171.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.05085, over 141.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3602, pruned_loss=0.1176, over 2776491.85 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07034, over 43998.23 utterances.], batch size: 141, lr: 3.61e-04
+2022-09-18 02:12:30,325 INFO [train.py:885] (0/2) Epoch 13, batch 2900, loss[loss=0.1911, simple_loss=0.2616, pruned_loss=0.06032, over 13840.00 frames. utt_duration=924.1 frames, utt_pad_proportion=0.07214, over 60.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3563, pruned_loss=0.1156, over 2776287.76 frames. utt_duration=263.8 frames, utt_pad_proportion=0.06872, over 42339.29 utterances.], batch size: 60, lr: 3.61e-04
+2022-09-18 02:12:59,894 INFO [train.py:885] (0/2) Epoch 13, batch 2950, loss[loss=0.1777, simple_loss=0.2527, pruned_loss=0.05135, over 14045.00 frames. utt_duration=712.6 frames, utt_pad_proportion=0.05736, over 79.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3568, pruned_loss=0.1155, over 2779190.56 frames. utt_duration=263.3 frames, utt_pad_proportion=0.06821, over 42463.78 utterances.], batch size: 79, lr: 3.61e-04
+2022-09-18 02:13:29,666 INFO [train.py:885] (0/2) Epoch 13, batch 3000, loss[loss=0.2247, simple_loss=0.2881, pruned_loss=0.08064, over 14269.00 frames. utt_duration=642.8 frames, utt_pad_proportion=0.0421, over 89.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3569, pruned_loss=0.115, over 2775522.00 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06945, over 43119.45 utterances.], batch size: 89, lr: 3.61e-04
+2022-09-18 02:13:29,668 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 02:13:34,384 INFO [train.py:914] (0/2) Epoch 13, validation: loss=0.2063, simple_loss=0.283, pruned_loss=0.06475, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 02:14:04,248 INFO [train.py:885] (0/2) Epoch 13, batch 3050, loss[loss=0.2779, simple_loss=0.358, pruned_loss=0.09894, over 14276.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04016, over 180.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3591, pruned_loss=0.1158, over 2773820.50 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07121, over 44437.25 utterances.], batch size: 180, lr: 3.61e-04
+2022-09-18 02:14:33,434 INFO [train.py:885] (0/2) Epoch 13, batch 3100, loss[loss=0.3303, simple_loss=0.3952, pruned_loss=0.1327, over 14221.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0433, over 306.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3606, pruned_loss=0.1158, over 2773944.46 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07133, over 46077.11 utterances.], batch size: 306, lr: 3.61e-04
+2022-09-18 02:15:03,170 INFO [train.py:885] (0/2) Epoch 13, batch 3150, loss[loss=0.3702, simple_loss=0.4244, pruned_loss=0.158, over 14267.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04035, over 225.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3581, pruned_loss=0.1156, over 2778046.21 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06954, over 44107.67 utterances.], batch size: 225, lr: 3.61e-04
+2022-09-18 02:15:32,256 INFO [train.py:885] (0/2) Epoch 13, batch 3200, loss[loss=0.31, simple_loss=0.4018, pruned_loss=0.1091, over 13845.00 frames. utt_duration=136.3 frames, utt_pad_proportion=0.06648, over 411.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3582, pruned_loss=0.1148, over 2778301.89 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07141, over 44874.17 utterances.], batch size: 411, lr: 3.61e-04
+2022-09-18 02:16:02,119 INFO [train.py:885] (0/2) Epoch 13, batch 3250, loss[loss=0.1586, simple_loss=0.215, pruned_loss=0.0511, over 13126.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1093, over 33.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3582, pruned_loss=0.1146, over 2778602.64 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07017, over 44944.45 utterances.], batch size: 33, lr: 3.61e-04
+2022-09-18 02:16:31,609 INFO [train.py:885] (0/2) Epoch 13, batch 3300, loss[loss=0.1582, simple_loss=0.226, pruned_loss=0.04516, over 14068.00 frames. utt_duration=939.2 frames, utt_pad_proportion=0.05326, over 60.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3589, pruned_loss=0.1152, over 2777897.85 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07249, over 44931.38 utterances.], batch size: 60, lr: 3.61e-04
+2022-09-18 02:17:00,761 INFO [train.py:885] (0/2) Epoch 13, batch 3350, loss[loss=0.2528, simple_loss=0.3315, pruned_loss=0.08701, over 14245.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04574, over 141.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3594, pruned_loss=0.1146, over 2781286.25 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07148, over 44970.76 utterances.], batch size: 141, lr: 3.60e-04
+2022-09-18 02:17:30,312 INFO [train.py:885] (0/2) Epoch 13, batch 3400, loss[loss=0.3864, simple_loss=0.481, pruned_loss=0.1459, over 13167.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1066, over 653.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3583, pruned_loss=0.1152, over 2778680.84 frames. utt_duration=254.8 frames, utt_pad_proportion=0.07157, over 43868.30 utterances.], batch size: 653, lr: 3.60e-04
+2022-09-18 02:18:00,214 INFO [train.py:885] (0/2) Epoch 13, batch 3450, loss[loss=0.404, simple_loss=0.4384, pruned_loss=0.1848, over 14230.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04255, over 306.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3595, pruned_loss=0.1151, over 2782315.87 frames. utt_duration=251.2 frames, utt_pad_proportion=0.0721, over 44560.93 utterances.], batch size: 306, lr: 3.60e-04
+2022-09-18 02:18:30,291 INFO [train.py:885] (0/2) Epoch 13, batch 3500, loss[loss=0.2295, simple_loss=0.2945, pruned_loss=0.08222, over 13814.00 frames. utt_duration=802 frames, utt_pad_proportion=0.06522, over 69.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3611, pruned_loss=0.1164, over 2774683.24 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07348, over 45036.69 utterances.], batch size: 69, lr: 3.60e-04
+2022-09-18 02:18:59,579 INFO [train.py:885] (0/2) Epoch 13, batch 3550, loss[loss=0.2894, simple_loss=0.3584, pruned_loss=0.1102, over 14313.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04113, over 167.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.3633, pruned_loss=0.118, over 2775781.29 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07475, over 45471.08 utterances.], batch size: 167, lr: 3.60e-04
+2022-09-18 02:19:28,835 INFO [train.py:885] (0/2) Epoch 13, batch 3600, loss[loss=0.2567, simple_loss=0.3284, pruned_loss=0.09256, over 14300.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03823, over 130.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3639, pruned_loss=0.1179, over 2780870.65 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07261, over 45545.09 utterances.], batch size: 130, lr: 3.60e-04
+2022-09-18 02:19:58,690 INFO [train.py:885] (0/2) Epoch 13, batch 3650, loss[loss=0.2078, simple_loss=0.2746, pruned_loss=0.07048, over 13764.00 frames. utt_duration=799.3 frames, utt_pad_proportion=0.06841, over 69.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3663, pruned_loss=0.1199, over 2776886.88 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07517, over 46512.24 utterances.], batch size: 69, lr: 3.60e-04
+2022-09-18 02:20:28,408 INFO [train.py:885] (0/2) Epoch 13, batch 3700, loss[loss=0.3321, simple_loss=0.3893, pruned_loss=0.1375, over 14369.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.032, over 244.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3634, pruned_loss=0.1181, over 2780417.34 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07215, over 45541.89 utterances.], batch size: 244, lr: 3.60e-04
+2022-09-18 02:20:57,210 INFO [train.py:885] (0/2) Epoch 13, batch 3750, loss[loss=0.3419, simple_loss=0.4168, pruned_loss=0.1335, over 13959.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05844, over 365.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3655, pruned_loss=0.1184, over 2780384.23 frames. utt_duration=238.4 frames, utt_pad_proportion=0.0732, over 46940.38 utterances.], batch size: 365, lr: 3.60e-04
+2022-09-18 02:21:26,812 INFO [train.py:885] (0/2) Epoch 13, batch 3800, loss[loss=0.2229, simple_loss=0.2889, pruned_loss=0.07843, over 13977.00 frames. utt_duration=811.7 frames, utt_pad_proportion=0.05505, over 69.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3643, pruned_loss=0.118, over 2779816.79 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07219, over 46114.09 utterances.], batch size: 69, lr: 3.60e-04
+2022-09-18 02:21:55,668 INFO [train.py:885] (0/2) Epoch 13, batch 3850, loss[loss=0.3529, simple_loss=0.4025, pruned_loss=0.1517, over 14370.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0367, over 244.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3632, pruned_loss=0.1178, over 2778165.33 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07285, over 45777.98 utterances.], batch size: 244, lr: 3.60e-04
+2022-09-18 02:22:25,387 INFO [train.py:885] (0/2) Epoch 13, batch 3900, loss[loss=0.5344, simple_loss=0.6068, pruned_loss=0.231, over 12497.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 810.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3613, pruned_loss=0.1169, over 2777913.65 frames. utt_duration=248 frames, utt_pad_proportion=0.07342, over 45074.68 utterances.], batch size: 810, lr: 3.60e-04
+2022-09-18 02:22:55,063 INFO [train.py:885] (0/2) Epoch 13, batch 3950, loss[loss=0.3459, simple_loss=0.3964, pruned_loss=0.1477, over 14336.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03714, over 210.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3632, pruned_loss=0.1175, over 2776844.41 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07405, over 45968.69 utterances.], batch size: 210, lr: 3.60e-04
+2022-09-18 02:23:24,659 INFO [train.py:885] (0/2) Epoch 13, batch 4000, loss[loss=0.196, simple_loss=0.2714, pruned_loss=0.06034, over 13706.00 frames. utt_duration=915 frames, utt_pad_proportion=0.08134, over 60.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3614, pruned_loss=0.1162, over 2779548.73 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07249, over 45812.18 utterances.], batch size: 60, lr: 3.60e-04
+2022-09-18 02:23:54,213 INFO [train.py:885] (0/2) Epoch 13, batch 4050, loss[loss=0.1881, simple_loss=0.2602, pruned_loss=0.05799, over 13676.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.0803, over 50.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3631, pruned_loss=0.1171, over 2775639.99 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07464, over 47218.18 utterances.], batch size: 50, lr: 3.60e-04
+2022-09-18 02:24:24,506 INFO [train.py:885] (0/2) Epoch 13, batch 4100, loss[loss=0.2526, simple_loss=0.3048, pruned_loss=0.1002, over 14244.00 frames. utt_duration=524.1 frames, utt_pad_proportion=0.04013, over 109.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3659, pruned_loss=0.1186, over 2776571.78 frames. utt_duration=233.1 frames, utt_pad_proportion=0.0761, over 47958.72 utterances.], batch size: 109, lr: 3.60e-04
+2022-09-18 02:24:53,841 INFO [train.py:885] (0/2) Epoch 13, batch 4150, loss[loss=0.3438, simple_loss=0.3974, pruned_loss=0.1451, over 14408.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03338, over 211.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3654, pruned_loss=0.1176, over 2777400.58 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07461, over 47735.64 utterances.], batch size: 211, lr: 3.60e-04
+2022-09-18 02:25:23,522 INFO [train.py:885] (0/2) Epoch 13, batch 4200, loss[loss=0.2873, simple_loss=0.3394, pruned_loss=0.1176, over 14065.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05491, over 98.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3646, pruned_loss=0.1176, over 2773541.51 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07575, over 47518.99 utterances.], batch size: 98, lr: 3.59e-04
+2022-09-18 02:25:53,157 INFO [train.py:885] (0/2) Epoch 13, batch 4250, loss[loss=0.3814, simple_loss=0.4495, pruned_loss=0.1566, over 14026.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05473, over 365.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3643, pruned_loss=0.1179, over 2774613.70 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07373, over 46628.70 utterances.], batch size: 365, lr: 3.59e-04
+2022-09-18 02:26:22,774 INFO [train.py:885] (0/2) Epoch 13, batch 4300, loss[loss=0.3724, simple_loss=0.4626, pruned_loss=0.1411, over 13598.00 frames. utt_duration=98.49 frames, utt_pad_proportion=0.07949, over 560.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3601, pruned_loss=0.1157, over 2778525.62 frames. utt_duration=247.6 frames, utt_pad_proportion=0.0713, over 45151.39 utterances.], batch size: 560, lr: 3.59e-04
+2022-09-18 02:26:52,182 INFO [train.py:885] (0/2) Epoch 13, batch 4350, loss[loss=0.3932, simple_loss=0.4734, pruned_loss=0.1566, over 13605.00 frames. utt_duration=98.54 frames, utt_pad_proportion=0.07911, over 560.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3608, pruned_loss=0.1161, over 2776972.13 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07331, over 45865.19 utterances.], batch size: 560, lr: 3.59e-04
+2022-09-18 02:27:22,183 INFO [train.py:885] (0/2) Epoch 13, batch 4400, loss[loss=0.297, simple_loss=0.3683, pruned_loss=0.1129, over 14268.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04034, over 180.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3639, pruned_loss=0.1169, over 2780694.10 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07126, over 46711.38 utterances.], batch size: 180, lr: 3.59e-04
+2022-09-18 02:27:51,635 INFO [train.py:885] (0/2) Epoch 13, batch 4450, loss[loss=0.2712, simple_loss=0.3719, pruned_loss=0.08526, over 13739.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07459, over 411.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3668, pruned_loss=0.1186, over 2778907.02 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07393, over 47740.21 utterances.], batch size: 411, lr: 3.59e-04
+2022-09-18 02:28:21,561 INFO [train.py:885] (0/2) Epoch 13, batch 4500, loss[loss=0.1953, simple_loss=0.2636, pruned_loss=0.0635, over 14067.00 frames. utt_duration=805.3 frames, utt_pad_proportion=0.06034, over 70.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3605, pruned_loss=0.1151, over 2779530.10 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07284, over 45734.80 utterances.], batch size: 70, lr: 3.59e-04
+2022-09-18 02:28:51,469 INFO [train.py:885] (0/2) Epoch 13, batch 4550, loss[loss=0.246, simple_loss=0.3055, pruned_loss=0.09325, over 14034.00 frames. utt_duration=574.1 frames, utt_pad_proportion=0.0557, over 98.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3618, pruned_loss=0.1158, over 2781758.84 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07169, over 45645.23 utterances.], batch size: 98, lr: 3.59e-04
+2022-09-18 02:28:58,093 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-156000.pt
+2022-09-18 02:29:21,017 INFO [train.py:885] (0/2) Epoch 13, batch 4600, loss[loss=0.2768, simple_loss=0.341, pruned_loss=0.1063, over 14140.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04676, over 109.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3566, pruned_loss=0.1129, over 2785578.83 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06841, over 43533.91 utterances.], batch size: 109, lr: 3.59e-04
+2022-09-18 02:29:51,330 INFO [train.py:885] (0/2) Epoch 13, batch 4650, loss[loss=0.2609, simple_loss=0.3443, pruned_loss=0.08876, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03927, over 180.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.361, pruned_loss=0.1153, over 2784897.61 frames. utt_duration=248 frames, utt_pad_proportion=0.07018, over 45188.57 utterances.], batch size: 180, lr: 3.59e-04
+2022-09-18 02:30:20,189 INFO [train.py:885] (0/2) Epoch 13, batch 4700, loss[loss=0.1889, simple_loss=0.2412, pruned_loss=0.06827, over 13203.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1096, over 33.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3632, pruned_loss=0.1177, over 2788509.77 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06868, over 44949.73 utterances.], batch size: 33, lr: 3.59e-04
+2022-09-18 02:30:49,870 INFO [train.py:885] (0/2) Epoch 13, batch 4750, loss[loss=0.3546, simple_loss=0.4005, pruned_loss=0.1544, over 14291.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.04307, over 141.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.362, pruned_loss=0.1164, over 2791116.85 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06732, over 44093.35 utterances.], batch size: 141, lr: 3.59e-04
+2022-09-18 02:31:19,701 INFO [train.py:885] (0/2) Epoch 13, batch 4800, loss[loss=0.2153, simple_loss=0.2802, pruned_loss=0.07525, over 14075.00 frames. utt_duration=713.9 frames, utt_pad_proportion=0.05571, over 79.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3618, pruned_loss=0.1171, over 2790590.86 frames. utt_duration=260.1 frames, utt_pad_proportion=0.0665, over 43155.93 utterances.], batch size: 79, lr: 3.59e-04
+2022-09-18 02:31:48,558 INFO [train.py:885] (0/2) Epoch 13, batch 4850, loss[loss=0.2307, simple_loss=0.2796, pruned_loss=0.09096, over 14018.00 frames. utt_duration=711.1 frames, utt_pad_proportion=0.05942, over 79.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3623, pruned_loss=0.1172, over 2785397.29 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06948, over 43892.92 utterances.], batch size: 79, lr: 3.59e-04
+2022-09-18 02:32:18,198 INFO [train.py:885] (0/2) Epoch 13, batch 4900, loss[loss=0.1919, simple_loss=0.2724, pruned_loss=0.05568, over 13956.00 frames. utt_duration=708.3 frames, utt_pad_proportion=0.0619, over 79.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3608, pruned_loss=0.1162, over 2785317.86 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07073, over 43545.76 utterances.], batch size: 79, lr: 3.59e-04
+2022-09-18 02:32:48,159 INFO [train.py:885] (0/2) Epoch 13, batch 4950, loss[loss=0.2751, simple_loss=0.3419, pruned_loss=0.1042, over 14308.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.04115, over 141.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.3653, pruned_loss=0.1186, over 2784516.52 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07175, over 45483.35 utterances.], batch size: 141, lr: 3.59e-04
+2022-09-18 02:33:17,157 INFO [train.py:885] (0/2) Epoch 13, batch 5000, loss[loss=0.1989, simple_loss=0.2729, pruned_loss=0.06239, over 14259.00 frames. utt_duration=642.3 frames, utt_pad_proportion=0.04275, over 89.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3637, pruned_loss=0.118, over 2787737.17 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07002, over 44389.73 utterances.], batch size: 89, lr: 3.59e-04
+2022-09-18 02:33:46,666 INFO [train.py:885] (0/2) Epoch 13, batch 5050, loss[loss=0.291, simple_loss=0.3433, pruned_loss=0.1193, over 14151.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04629, over 109.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3648, pruned_loss=0.1193, over 2783586.96 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06955, over 44588.67 utterances.], batch size: 109, lr: 3.59e-04
+2022-09-18 02:34:17,053 INFO [train.py:885] (0/2) Epoch 13, batch 5100, loss[loss=0.3171, simple_loss=0.37, pruned_loss=0.1321, over 14341.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03768, over 130.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3641, pruned_loss=0.1182, over 2778463.65 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07111, over 45126.90 utterances.], batch size: 130, lr: 3.58e-04
+2022-09-18 02:34:46,636 INFO [train.py:885] (0/2) Epoch 13, batch 5150, loss[loss=0.275, simple_loss=0.336, pruned_loss=0.107, over 14299.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.041, over 154.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.3654, pruned_loss=0.1186, over 2775938.40 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07308, over 46050.50 utterances.], batch size: 154, lr: 3.58e-04
+2022-09-18 02:35:15,558 INFO [train.py:885] (0/2) Epoch 13, batch 5200, loss[loss=0.3382, simple_loss=0.4197, pruned_loss=0.1283, over 13747.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07341, over 411.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.361, pruned_loss=0.1164, over 2780524.89 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07023, over 43962.68 utterances.], batch size: 411, lr: 3.58e-04
+2022-09-18 02:35:44,446 INFO [train.py:885] (0/2) Epoch 13, batch 5250, loss[loss=0.54, simple_loss=0.6088, pruned_loss=0.2356, over 12479.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1465, over 811.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3564, pruned_loss=0.1144, over 2781868.17 frames. utt_duration=265.3 frames, utt_pad_proportion=0.06893, over 42178.45 utterances.], batch size: 811, lr: 3.58e-04
+2022-09-18 02:36:14,099 INFO [train.py:885] (0/2) Epoch 13, batch 5300, loss[loss=0.1579, simple_loss=0.21, pruned_loss=0.05293, over 13048.00 frames. utt_duration=1583 frames, utt_pad_proportion=0.1235, over 33.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3534, pruned_loss=0.1135, over 2783104.09 frames. utt_duration=272.4 frames, utt_pad_proportion=0.06882, over 41086.45 utterances.], batch size: 33, lr: 3.58e-04
+2022-09-18 02:36:50,863 INFO [train.py:885] (0/2) Epoch 13, batch 5350, loss[loss=0.2239, simple_loss=0.287, pruned_loss=0.08037, over 13820.00 frames. utt_duration=923 frames, utt_pad_proportion=0.06961, over 60.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3545, pruned_loss=0.1131, over 2782612.54 frames. utt_duration=265.4 frames, utt_pad_proportion=0.06889, over 42170.08 utterances.], batch size: 60, lr: 3.58e-04
+2022-09-18 02:37:20,938 INFO [train.py:885] (0/2) Epoch 13, batch 5400, loss[loss=0.23, simple_loss=0.2933, pruned_loss=0.08331, over 14123.00 frames. utt_duration=636.3 frames, utt_pad_proportion=0.05169, over 89.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3543, pruned_loss=0.112, over 2780140.82 frames. utt_duration=261.2 frames, utt_pad_proportion=0.07161, over 42825.05 utterances.], batch size: 89, lr: 3.58e-04
+2022-09-18 02:37:50,821 INFO [train.py:885] (0/2) Epoch 13, batch 5450, loss[loss=0.3837, simple_loss=0.4286, pruned_loss=0.1694, over 14233.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04313, over 335.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3573, pruned_loss=0.1144, over 2781094.76 frames. utt_duration=257.7 frames, utt_pad_proportion=0.07093, over 43415.69 utterances.], batch size: 335, lr: 3.58e-04
+2022-09-18 02:38:19,950 INFO [train.py:885] (0/2) Epoch 13, batch 5500, loss[loss=0.169, simple_loss=0.2392, pruned_loss=0.04943, over 13809.00 frames. utt_duration=801.9 frames, utt_pad_proportion=0.06537, over 69.00 utterances.], tot_loss[loss=0.296, simple_loss=0.3599, pruned_loss=0.116, over 2780891.21 frames. utt_duration=251 frames, utt_pad_proportion=0.07167, over 44576.26 utterances.], batch size: 69, lr: 3.58e-04
+2022-09-18 02:38:49,458 INFO [train.py:885] (0/2) Epoch 13, batch 5550, loss[loss=0.3532, simple_loss=0.4421, pruned_loss=0.1321, over 13638.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08048, over 477.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3669, pruned_loss=0.1195, over 2769455.96 frames. utt_duration=231 frames, utt_pad_proportion=0.07765, over 48274.42 utterances.], batch size: 477, lr: 3.58e-04
+2022-09-18 02:39:18,679 INFO [train.py:885] (0/2) Epoch 13, batch 5600, loss[loss=0.4609, simple_loss=0.5212, pruned_loss=0.2002, over 13835.00 frames. utt_duration=136.2 frames, utt_pad_proportion=0.06699, over 411.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.367, pruned_loss=0.12, over 2773627.09 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07613, over 47444.33 utterances.], batch size: 411, lr: 3.58e-04
+2022-09-18 02:39:48,217 INFO [train.py:885] (0/2) Epoch 13, batch 5650, loss[loss=0.1925, simple_loss=0.2702, pruned_loss=0.05738, over 13902.00 frames. utt_duration=928.1 frames, utt_pad_proportion=0.06817, over 60.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3655, pruned_loss=0.119, over 2771120.50 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07621, over 46618.17 utterances.], batch size: 60, lr: 3.58e-04
+2022-09-18 02:40:17,783 INFO [train.py:885] (0/2) Epoch 13, batch 5700, loss[loss=0.2068, simple_loss=0.2936, pruned_loss=0.06002, over 14192.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04566, over 89.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3618, pruned_loss=0.1174, over 2773547.38 frames. utt_duration=249.4 frames, utt_pad_proportion=0.0764, over 44759.61 utterances.], batch size: 89, lr: 3.58e-04
+2022-09-18 02:40:47,457 INFO [train.py:885] (0/2) Epoch 13, batch 5750, loss[loss=0.2621, simple_loss=0.3068, pruned_loss=0.1087, over 13812.00 frames. utt_duration=922.7 frames, utt_pad_proportion=0.06988, over 60.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3643, pruned_loss=0.118, over 2768993.02 frames. utt_duration=238 frames, utt_pad_proportion=0.07861, over 46828.66 utterances.], batch size: 60, lr: 3.58e-04
+2022-09-18 02:41:17,706 INFO [train.py:885] (0/2) Epoch 13, batch 5800, loss[loss=0.1404, simple_loss=0.1929, pruned_loss=0.04389, over 13126.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1187, over 33.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3635, pruned_loss=0.1174, over 2767878.44 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07922, over 46543.20 utterances.], batch size: 33, lr: 3.58e-04
+2022-09-18 02:41:47,091 INFO [train.py:885] (0/2) Epoch 13, batch 5850, loss[loss=0.3544, simple_loss=0.4133, pruned_loss=0.1477, over 14337.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03692, over 195.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3645, pruned_loss=0.1181, over 2767500.19 frames. utt_duration=238.9 frames, utt_pad_proportion=0.08004, over 46621.64 utterances.], batch size: 195, lr: 3.58e-04
+2022-09-18 02:42:16,830 INFO [train.py:885] (0/2) Epoch 13, batch 5900, loss[loss=0.2212, simple_loss=0.2902, pruned_loss=0.07608, over 13790.00 frames. utt_duration=921 frames, utt_pad_proportion=0.07159, over 60.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3632, pruned_loss=0.1175, over 2774356.82 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07686, over 45911.83 utterances.], batch size: 60, lr: 3.58e-04
+2022-09-18 02:42:45,950 INFO [train.py:885] (0/2) Epoch 13, batch 5950, loss[loss=0.2093, simple_loss=0.2611, pruned_loss=0.07873, over 13510.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08354, over 50.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3642, pruned_loss=0.1174, over 2779625.53 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07387, over 46356.07 utterances.], batch size: 50, lr: 3.57e-04
+2022-09-18 02:43:15,998 INFO [train.py:885] (0/2) Epoch 13, batch 6000, loss[loss=0.5236, simple_loss=0.6034, pruned_loss=0.2219, over 12503.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1442, over 810.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3639, pruned_loss=0.118, over 2778369.09 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07505, over 45983.59 utterances.], batch size: 810, lr: 3.57e-04
+2022-09-18 02:43:15,999 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 02:43:20,663 INFO [train.py:914] (0/2) Epoch 13, validation: loss=0.2024, simple_loss=0.2828, pruned_loss=0.06096, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 02:43:50,142 INFO [train.py:885] (0/2) Epoch 13, batch 6050, loss[loss=0.3565, simple_loss=0.4451, pruned_loss=0.134, over 13636.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07704, over 560.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.3645, pruned_loss=0.1192, over 2782087.09 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07224, over 45370.92 utterances.], batch size: 560, lr: 3.57e-04
+2022-09-18 02:44:19,917 INFO [train.py:885] (0/2) Epoch 13, batch 6100, loss[loss=0.3177, simple_loss=0.4077, pruned_loss=0.1139, over 13761.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07213, over 411.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3604, pruned_loss=0.1168, over 2785770.42 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06947, over 43808.97 utterances.], batch size: 411, lr: 3.57e-04
+2022-09-18 02:44:49,167 INFO [train.py:885] (0/2) Epoch 13, batch 6150, loss[loss=0.3289, simple_loss=0.3932, pruned_loss=0.1323, over 14293.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04042, over 283.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3636, pruned_loss=0.1186, over 2780688.02 frames. utt_duration=246 frames, utt_pad_proportion=0.07221, over 45479.09 utterances.], batch size: 283, lr: 3.57e-04
+2022-09-18 02:45:18,740 INFO [train.py:885] (0/2) Epoch 13, batch 6200, loss[loss=0.3434, simple_loss=0.4156, pruned_loss=0.1355, over 13989.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05645, over 365.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3622, pruned_loss=0.1189, over 2779166.22 frames. utt_duration=250.5 frames, utt_pad_proportion=0.0719, over 44643.08 utterances.], batch size: 365, lr: 3.57e-04
+2022-09-18 02:45:47,842 INFO [train.py:885] (0/2) Epoch 13, batch 6250, loss[loss=0.2035, simple_loss=0.2526, pruned_loss=0.07718, over 13238.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1103, over 33.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3595, pruned_loss=0.1168, over 2781097.00 frames. utt_duration=257.8 frames, utt_pad_proportion=0.0701, over 43395.15 utterances.], batch size: 33, lr: 3.57e-04
+2022-09-18 02:46:16,810 INFO [train.py:885] (0/2) Epoch 13, batch 6300, loss[loss=0.4884, simple_loss=0.5093, pruned_loss=0.2338, over 14004.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05586, over 365.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3608, pruned_loss=0.1169, over 2786290.43 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06847, over 44122.67 utterances.], batch size: 365, lr: 3.57e-04
+2022-09-18 02:46:46,693 INFO [train.py:885] (0/2) Epoch 13, batch 6350, loss[loss=0.3484, simple_loss=0.4127, pruned_loss=0.142, over 14303.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.03994, over 283.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.3631, pruned_loss=0.1182, over 2780954.51 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0726, over 45325.15 utterances.], batch size: 283, lr: 3.57e-04
+2022-09-18 02:47:16,398 INFO [train.py:885] (0/2) Epoch 13, batch 6400, loss[loss=0.3056, simple_loss=0.3691, pruned_loss=0.121, over 14349.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03649, over 210.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3615, pruned_loss=0.1173, over 2780100.73 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07238, over 44600.08 utterances.], batch size: 210, lr: 3.57e-04
+2022-09-18 02:47:45,799 INFO [train.py:885] (0/2) Epoch 13, batch 6450, loss[loss=0.2807, simple_loss=0.3432, pruned_loss=0.1091, over 14257.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04314, over 130.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3647, pruned_loss=0.1188, over 2777997.88 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07454, over 45871.89 utterances.], batch size: 130, lr: 3.57e-04
+2022-09-18 02:48:15,616 INFO [train.py:885] (0/2) Epoch 13, batch 6500, loss[loss=0.3078, simple_loss=0.4027, pruned_loss=0.1065, over 13822.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06838, over 411.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3649, pruned_loss=0.1185, over 2777702.62 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07446, over 46473.64 utterances.], batch size: 411, lr: 3.57e-04
+2022-09-18 02:48:45,242 INFO [train.py:885] (0/2) Epoch 13, batch 6550, loss[loss=0.3632, simple_loss=0.4571, pruned_loss=0.1346, over 13153.00 frames. utt_duration=82.13 frames, utt_pad_proportion=0.1073, over 653.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3633, pruned_loss=0.1172, over 2776785.84 frames. utt_duration=240 frames, utt_pad_proportion=0.07496, over 46572.84 utterances.], batch size: 653, lr: 3.57e-04
+2022-09-18 02:49:15,203 INFO [train.py:885] (0/2) Epoch 13, batch 6600, loss[loss=0.2693, simple_loss=0.3373, pruned_loss=0.1006, over 14320.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.04048, over 120.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3659, pruned_loss=0.1187, over 2771682.03 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07688, over 47486.52 utterances.], batch size: 120, lr: 3.57e-04
+2022-09-18 02:49:44,752 INFO [train.py:885] (0/2) Epoch 13, batch 6650, loss[loss=0.3222, simple_loss=0.3966, pruned_loss=0.124, over 13976.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05822, over 365.00 utterances.], tot_loss[loss=0.3055, simple_loss=0.3696, pruned_loss=0.1206, over 2774904.54 frames. utt_duration=228.6 frames, utt_pad_proportion=0.07595, over 48865.38 utterances.], batch size: 365, lr: 3.57e-04
+2022-09-18 02:50:14,034 INFO [train.py:885] (0/2) Epoch 13, batch 6700, loss[loss=0.3032, simple_loss=0.3669, pruned_loss=0.1197, over 14357.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03791, over 167.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3702, pruned_loss=0.1203, over 2774821.81 frames. utt_duration=226 frames, utt_pad_proportion=0.07757, over 49444.06 utterances.], batch size: 167, lr: 3.57e-04
+2022-09-18 02:50:43,393 INFO [train.py:885] (0/2) Epoch 13, batch 6750, loss[loss=0.2225, simple_loss=0.3033, pruned_loss=0.07084, over 14313.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.0372, over 130.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3685, pruned_loss=0.1195, over 2771812.94 frames. utt_duration=227.9 frames, utt_pad_proportion=0.07722, over 48972.55 utterances.], batch size: 130, lr: 3.57e-04
+2022-09-18 02:51:13,953 INFO [train.py:885] (0/2) Epoch 13, batch 6800, loss[loss=0.2443, simple_loss=0.3168, pruned_loss=0.08591, over 14314.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03938, over 130.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3681, pruned_loss=0.1188, over 2774456.04 frames. utt_duration=227.6 frames, utt_pad_proportion=0.07601, over 49081.03 utterances.], batch size: 130, lr: 3.57e-04
+2022-09-18 02:51:43,299 INFO [train.py:885] (0/2) Epoch 13, batch 6850, loss[loss=0.2832, simple_loss=0.3846, pruned_loss=0.09088, over 13824.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06828, over 411.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3656, pruned_loss=0.1174, over 2777023.94 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07416, over 48217.09 utterances.], batch size: 411, lr: 3.56e-04
+2022-09-18 02:52:12,830 INFO [train.py:885] (0/2) Epoch 13, batch 6900, loss[loss=0.2361, simple_loss=0.2954, pruned_loss=0.08842, over 14122.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05102, over 98.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.3626, pruned_loss=0.1158, over 2775814.32 frames. utt_duration=234 frames, utt_pad_proportion=0.07362, over 47756.99 utterances.], batch size: 98, lr: 3.56e-04
+2022-09-18 02:52:41,827 INFO [train.py:885] (0/2) Epoch 13, batch 6950, loss[loss=0.1755, simple_loss=0.2431, pruned_loss=0.0539, over 12865.00 frames. utt_duration=1561 frames, utt_pad_proportion=0.1337, over 33.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3604, pruned_loss=0.1147, over 2777567.10 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07211, over 46111.69 utterances.], batch size: 33, lr: 3.56e-04
+2022-09-18 02:53:11,536 INFO [train.py:885] (0/2) Epoch 13, batch 7000, loss[loss=0.3097, simple_loss=0.3661, pruned_loss=0.1267, over 14325.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.0394, over 154.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3626, pruned_loss=0.1168, over 2777823.31 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07291, over 46457.28 utterances.], batch size: 154, lr: 3.56e-04
+2022-09-18 02:53:40,710 INFO [train.py:885] (0/2) Epoch 13, batch 7050, loss[loss=0.2727, simple_loss=0.3249, pruned_loss=0.1102, over 14287.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.03917, over 120.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3616, pruned_loss=0.1169, over 2784057.60 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06964, over 45114.53 utterances.], batch size: 120, lr: 3.56e-04
+2022-09-18 02:54:09,994 INFO [train.py:885] (0/2) Epoch 13, batch 7100, loss[loss=0.2848, simple_loss=0.3405, pruned_loss=0.1146, over 14345.00 frames. utt_duration=443 frames, utt_pad_proportion=0.03496, over 130.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3611, pruned_loss=0.1168, over 2785702.03 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06929, over 45151.56 utterances.], batch size: 130, lr: 3.56e-04
+2022-09-18 02:54:39,683 INFO [train.py:885] (0/2) Epoch 13, batch 7150, loss[loss=0.2253, simple_loss=0.2786, pruned_loss=0.08603, over 13645.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08826, over 42.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3607, pruned_loss=0.1169, over 2788597.94 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06768, over 44963.51 utterances.], batch size: 42, lr: 3.56e-04
+2022-09-18 02:55:16,018 INFO [train.py:885] (0/2) Epoch 13, batch 7200, loss[loss=0.3468, simple_loss=0.3902, pruned_loss=0.1516, over 14273.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04028, over 154.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3584, pruned_loss=0.1156, over 2780682.79 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07097, over 44419.94 utterances.], batch size: 154, lr: 3.56e-04
+2022-09-18 02:55:45,596 INFO [train.py:885] (0/2) Epoch 13, batch 7250, loss[loss=0.2959, simple_loss=0.3598, pruned_loss=0.116, over 14327.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.0369, over 154.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3572, pruned_loss=0.1139, over 2781662.31 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07187, over 44684.76 utterances.], batch size: 154, lr: 3.56e-04
+2022-09-18 02:56:14,921 INFO [train.py:885] (0/2) Epoch 13, batch 7300, loss[loss=0.2667, simple_loss=0.3573, pruned_loss=0.08803, over 14332.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03692, over 195.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3577, pruned_loss=0.1149, over 2783236.11 frames. utt_duration=253.6 frames, utt_pad_proportion=0.0694, over 44159.65 utterances.], batch size: 195, lr: 3.56e-04
+2022-09-18 02:56:43,757 INFO [train.py:885] (0/2) Epoch 13, batch 7350, loss[loss=0.3018, simple_loss=0.3734, pruned_loss=0.1152, over 14354.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03586, over 210.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3556, pruned_loss=0.1136, over 2778985.88 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06899, over 43724.31 utterances.], batch size: 210, lr: 3.56e-04
+2022-09-18 02:57:13,614 INFO [train.py:885] (0/2) Epoch 13, batch 7400, loss[loss=0.1902, simple_loss=0.2544, pruned_loss=0.06297, over 13914.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.06997, over 51.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3608, pruned_loss=0.1162, over 2777940.63 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07055, over 45385.37 utterances.], batch size: 51, lr: 3.56e-04
+2022-09-18 02:57:43,535 INFO [train.py:885] (0/2) Epoch 13, batch 7450, loss[loss=0.5074, simple_loss=0.5107, pruned_loss=0.2521, over 14224.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0433, over 306.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3615, pruned_loss=0.1166, over 2774991.67 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07251, over 45866.23 utterances.], batch size: 306, lr: 3.56e-04
+2022-09-18 02:58:12,808 INFO [train.py:885] (0/2) Epoch 13, batch 7500, loss[loss=0.2872, simple_loss=0.3639, pruned_loss=0.1053, over 14316.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03763, over 180.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3612, pruned_loss=0.116, over 2778983.11 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07116, over 45922.79 utterances.], batch size: 180, lr: 3.56e-04
+2022-09-18 02:58:42,528 INFO [train.py:885] (0/2) Epoch 13, batch 7550, loss[loss=0.2811, simple_loss=0.3399, pruned_loss=0.1112, over 14134.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.05033, over 98.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3633, pruned_loss=0.1168, over 2782500.36 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07014, over 46167.02 utterances.], batch size: 98, lr: 3.56e-04
+2022-09-18 02:59:11,671 INFO [train.py:885] (0/2) Epoch 13, batch 7600, loss[loss=0.3063, simple_loss=0.3807, pruned_loss=0.1159, over 14302.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.03868, over 225.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3619, pruned_loss=0.1163, over 2780428.18 frames. utt_duration=243.3 frames, utt_pad_proportion=0.0702, over 45991.09 utterances.], batch size: 225, lr: 3.56e-04
+2022-09-18 02:59:41,382 INFO [train.py:885] (0/2) Epoch 13, batch 7650, loss[loss=0.2679, simple_loss=0.3317, pruned_loss=0.1021, over 14223.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04716, over 141.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3634, pruned_loss=0.1174, over 2780541.91 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06989, over 45827.84 utterances.], batch size: 141, lr: 3.56e-04
+2022-09-18 03:00:10,846 INFO [train.py:885] (0/2) Epoch 13, batch 7700, loss[loss=0.4282, simple_loss=0.5037, pruned_loss=0.1764, over 13178.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.1059, over 653.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3646, pruned_loss=0.1178, over 2782066.17 frames. utt_duration=240.8 frames, utt_pad_proportion=0.06909, over 46506.28 utterances.], batch size: 653, lr: 3.56e-04
+2022-09-18 03:00:40,520 INFO [train.py:885] (0/2) Epoch 13, batch 7750, loss[loss=0.2534, simple_loss=0.3149, pruned_loss=0.09599, over 14156.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04594, over 109.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3648, pruned_loss=0.1179, over 2781472.65 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07158, over 46675.02 utterances.], batch size: 109, lr: 3.55e-04
+2022-09-18 03:01:09,952 INFO [train.py:885] (0/2) Epoch 13, batch 7800, loss[loss=0.3189, simple_loss=0.3871, pruned_loss=0.1253, over 14312.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03968, over 262.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3617, pruned_loss=0.1161, over 2779490.77 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07148, over 45621.54 utterances.], batch size: 262, lr: 3.55e-04
+2022-09-18 03:01:40,236 INFO [train.py:885] (0/2) Epoch 13, batch 7850, loss[loss=0.2945, simple_loss=0.3639, pruned_loss=0.1125, over 14341.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03903, over 167.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.3649, pruned_loss=0.1184, over 2782353.35 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07096, over 46713.94 utterances.], batch size: 167, lr: 3.55e-04
+2022-09-18 03:02:09,178 INFO [train.py:885] (0/2) Epoch 13, batch 7900, loss[loss=0.1745, simple_loss=0.2193, pruned_loss=0.06482, over 12960.00 frames. utt_duration=1572 frames, utt_pad_proportion=0.1288, over 33.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3634, pruned_loss=0.1184, over 2784255.48 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06939, over 45474.50 utterances.], batch size: 33, lr: 3.55e-04
+2022-09-18 03:02:38,962 INFO [train.py:885] (0/2) Epoch 13, batch 7950, loss[loss=0.1348, simple_loss=0.1757, pruned_loss=0.04699, over 13032.00 frames. utt_duration=2087 frames, utt_pad_proportion=0.1281, over 25.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3604, pruned_loss=0.1159, over 2782330.79 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07006, over 45570.10 utterances.], batch size: 25, lr: 3.55e-04
+2022-09-18 03:03:08,640 INFO [train.py:885] (0/2) Epoch 13, batch 8000, loss[loss=0.2653, simple_loss=0.3483, pruned_loss=0.09116, over 14337.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03713, over 195.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3589, pruned_loss=0.1149, over 2784105.76 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07043, over 44949.83 utterances.], batch size: 195, lr: 3.55e-04
+2022-09-18 03:03:37,813 INFO [train.py:885] (0/2) Epoch 13, batch 8050, loss[loss=0.2568, simple_loss=0.3311, pruned_loss=0.09123, over 14315.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04063, over 167.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3569, pruned_loss=0.1139, over 2787647.14 frames. utt_duration=254 frames, utt_pad_proportion=0.06777, over 44156.01 utterances.], batch size: 167, lr: 3.55e-04
+2022-09-18 03:04:07,238 INFO [train.py:885] (0/2) Epoch 13, batch 8100, loss[loss=0.3388, simple_loss=0.4024, pruned_loss=0.1376, over 14254.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04179, over 225.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3574, pruned_loss=0.1146, over 2785137.95 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06917, over 43699.26 utterances.], batch size: 225, lr: 3.55e-04
+2022-09-18 03:04:37,135 INFO [train.py:885] (0/2) Epoch 13, batch 8150, loss[loss=0.3193, simple_loss=0.4098, pruned_loss=0.1144, over 13779.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07164, over 411.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3602, pruned_loss=0.116, over 2785304.78 frames. utt_duration=252.1 frames, utt_pad_proportion=0.0694, over 44458.78 utterances.], batch size: 411, lr: 3.55e-04
+2022-09-18 03:05:06,542 INFO [train.py:885] (0/2) Epoch 13, batch 8200, loss[loss=0.1637, simple_loss=0.2204, pruned_loss=0.05345, over 13744.00 frames. utt_duration=1101 frames, utt_pad_proportion=0.07391, over 50.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3614, pruned_loss=0.1166, over 2784277.16 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07065, over 45428.96 utterances.], batch size: 50, lr: 3.55e-04
+2022-09-18 03:05:36,047 INFO [train.py:885] (0/2) Epoch 13, batch 8250, loss[loss=0.286, simple_loss=0.3569, pruned_loss=0.1075, over 14299.00 frames. utt_duration=373 frames, utt_pad_proportion=0.03624, over 154.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3612, pruned_loss=0.117, over 2783257.35 frames. utt_duration=251 frames, utt_pad_proportion=0.07006, over 44616.00 utterances.], batch size: 154, lr: 3.55e-04
+2022-09-18 03:06:11,935 INFO [train.py:885] (0/2) Epoch 13, batch 8300, loss[loss=0.4275, simple_loss=0.5047, pruned_loss=0.1752, over 13133.00 frames. utt_duration=81.98 frames, utt_pad_proportion=0.1089, over 653.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3624, pruned_loss=0.1169, over 2786706.50 frames. utt_duration=248 frames, utt_pad_proportion=0.06907, over 45212.43 utterances.], batch size: 653, lr: 3.55e-04
+2022-09-18 03:06:41,512 INFO [train.py:885] (0/2) Epoch 13, batch 8350, loss[loss=0.2986, simple_loss=0.3691, pruned_loss=0.1141, over 14341.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03731, over 210.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3634, pruned_loss=0.1172, over 2785337.87 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07015, over 46156.78 utterances.], batch size: 210, lr: 3.55e-04
+2022-09-18 03:07:10,905 INFO [train.py:885] (0/2) Epoch 13, batch 8400, loss[loss=0.3781, simple_loss=0.4606, pruned_loss=0.1478, over 13685.00 frames. utt_duration=99.14 frames, utt_pad_proportion=0.07345, over 560.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3604, pruned_loss=0.1163, over 2783850.87 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06996, over 45046.45 utterances.], batch size: 560, lr: 3.55e-04
+2022-09-18 03:07:40,426 INFO [train.py:885] (0/2) Epoch 13, batch 8450, loss[loss=0.3656, simple_loss=0.4546, pruned_loss=0.1383, over 13598.00 frames. utt_duration=98.54 frames, utt_pad_proportion=0.07911, over 560.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3587, pruned_loss=0.1168, over 2784221.33 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06963, over 43640.56 utterances.], batch size: 560, lr: 3.55e-04
+2022-09-18 03:08:09,547 INFO [train.py:885] (0/2) Epoch 13, batch 8500, loss[loss=0.292, simple_loss=0.3857, pruned_loss=0.09917, over 13808.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06899, over 411.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3586, pruned_loss=0.1157, over 2782330.63 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07058, over 43837.00 utterances.], batch size: 411, lr: 3.55e-04
+2022-09-18 03:08:39,496 INFO [train.py:885] (0/2) Epoch 13, batch 8550, loss[loss=0.3185, simple_loss=0.3849, pruned_loss=0.126, over 14268.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04134, over 225.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3616, pruned_loss=0.1172, over 2783491.79 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07067, over 45124.02 utterances.], batch size: 225, lr: 3.55e-04
+2022-09-18 03:08:46,487 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-160000.pt
+2022-09-18 03:09:09,399 INFO [train.py:885] (0/2) Epoch 13, batch 8600, loss[loss=0.3464, simple_loss=0.4101, pruned_loss=0.1413, over 14356.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03572, over 210.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3592, pruned_loss=0.1156, over 2789757.36 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06721, over 43623.76 utterances.], batch size: 210, lr: 3.55e-04
+2022-09-18 03:09:38,690 INFO [train.py:885] (0/2) Epoch 13, batch 8650, loss[loss=0.3631, simple_loss=0.4137, pruned_loss=0.1562, over 14197.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04487, over 306.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3581, pruned_loss=0.1147, over 2785476.07 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06718, over 43975.42 utterances.], batch size: 306, lr: 3.54e-04
+2022-09-18 03:10:09,043 INFO [train.py:885] (0/2) Epoch 13, batch 8700, loss[loss=0.2064, simple_loss=0.2773, pruned_loss=0.06775, over 13892.00 frames. utt_duration=806.9 frames, utt_pad_proportion=0.06062, over 69.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3625, pruned_loss=0.117, over 2781273.46 frames. utt_duration=243.4 frames, utt_pad_proportion=0.072, over 45980.82 utterances.], batch size: 69, lr: 3.54e-04
+2022-09-18 03:10:38,326 INFO [train.py:885] (0/2) Epoch 13, batch 8750, loss[loss=0.2163, simple_loss=0.2827, pruned_loss=0.07495, over 14005.00 frames. utt_duration=710.6 frames, utt_pad_proportion=0.05637, over 79.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3618, pruned_loss=0.1165, over 2780240.02 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06951, over 44967.54 utterances.], batch size: 79, lr: 3.54e-04
+2022-09-18 03:11:08,397 INFO [train.py:885] (0/2) Epoch 13, batch 8800, loss[loss=0.2094, simple_loss=0.282, pruned_loss=0.06845, over 14212.00 frames. utt_duration=640.2 frames, utt_pad_proportion=0.04585, over 89.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3627, pruned_loss=0.1162, over 2777048.39 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07409, over 46275.87 utterances.], batch size: 89, lr: 3.54e-04
+2022-09-18 03:11:36,754 INFO [train.py:885] (0/2) Epoch 13, batch 8850, loss[loss=0.1968, simple_loss=0.2687, pruned_loss=0.06246, over 13881.00 frames. utt_duration=806.1 frames, utt_pad_proportion=0.06155, over 69.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3624, pruned_loss=0.1166, over 2778886.20 frames. utt_duration=247 frames, utt_pad_proportion=0.07281, over 45283.08 utterances.], batch size: 69, lr: 3.54e-04
+2022-09-18 03:12:07,418 INFO [train.py:885] (0/2) Epoch 13, batch 8900, loss[loss=0.3617, simple_loss=0.4152, pruned_loss=0.154, over 14211.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04451, over 335.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3625, pruned_loss=0.1172, over 2774474.91 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07437, over 45169.04 utterances.], batch size: 335, lr: 3.54e-04
+2022-09-18 03:12:36,499 INFO [train.py:885] (0/2) Epoch 13, batch 8950, loss[loss=0.2709, simple_loss=0.3385, pruned_loss=0.1017, over 14279.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03963, over 130.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3638, pruned_loss=0.1174, over 2781812.62 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07165, over 45268.77 utterances.], batch size: 130, lr: 3.54e-04
+2022-09-18 03:13:06,277 INFO [train.py:885] (0/2) Epoch 13, batch 9000, loss[loss=0.4274, simple_loss=0.5063, pruned_loss=0.1743, over 13189.00 frames. utt_duration=82.27 frames, utt_pad_proportion=0.1057, over 653.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3645, pruned_loss=0.118, over 2780251.90 frames. utt_duration=245.7 frames, utt_pad_proportion=0.0729, over 45528.42 utterances.], batch size: 653, lr: 3.54e-04
+2022-09-18 03:13:06,279 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 03:13:10,457 INFO [train.py:914] (0/2) Epoch 13, validation: loss=0.1998, simple_loss=0.2787, pruned_loss=0.06045, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 03:13:40,193 INFO [train.py:885] (0/2) Epoch 13, batch 9050, loss[loss=0.1989, simple_loss=0.2646, pruned_loss=0.06657, over 13904.00 frames. utt_duration=807.5 frames, utt_pad_proportion=0.06, over 69.00 utterances.], tot_loss[loss=0.304, simple_loss=0.3678, pruned_loss=0.1201, over 2784114.23 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07327, over 46580.34 utterances.], batch size: 69, lr: 3.54e-04
+2022-09-18 03:14:09,788 INFO [train.py:885] (0/2) Epoch 13, batch 9100, loss[loss=0.3751, simple_loss=0.4438, pruned_loss=0.1532, over 13622.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08211, over 477.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3663, pruned_loss=0.1195, over 2777545.66 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07378, over 45907.34 utterances.], batch size: 477, lr: 3.54e-04
+2022-09-18 03:14:39,586 INFO [train.py:885] (0/2) Epoch 13, batch 9150, loss[loss=0.1784, simple_loss=0.2467, pruned_loss=0.05508, over 13924.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.05653, over 69.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3653, pruned_loss=0.1185, over 2775998.07 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07496, over 46307.58 utterances.], batch size: 69, lr: 3.54e-04
+2022-09-18 03:15:09,019 INFO [train.py:885] (0/2) Epoch 13, batch 9200, loss[loss=0.2628, simple_loss=0.3238, pruned_loss=0.1009, over 13880.00 frames. utt_duration=806.1 frames, utt_pad_proportion=0.06153, over 69.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.3659, pruned_loss=0.1185, over 2778073.50 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0741, over 47225.29 utterances.], batch size: 69, lr: 3.54e-04
+2022-09-18 03:15:39,178 INFO [train.py:885] (0/2) Epoch 13, batch 9250, loss[loss=0.2593, simple_loss=0.309, pruned_loss=0.1048, over 13643.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08096, over 50.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3642, pruned_loss=0.118, over 2778750.73 frames. utt_duration=242 frames, utt_pad_proportion=0.07218, over 46218.78 utterances.], batch size: 50, lr: 3.54e-04
+2022-09-18 03:16:07,911 INFO [train.py:885] (0/2) Epoch 13, batch 9300, loss[loss=0.2072, simple_loss=0.2812, pruned_loss=0.06662, over 14056.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05551, over 79.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3615, pruned_loss=0.1168, over 2781691.40 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06999, over 44743.78 utterances.], batch size: 79, lr: 3.54e-04
+2022-09-18 03:16:38,006 INFO [train.py:885] (0/2) Epoch 13, batch 9350, loss[loss=0.1923, simple_loss=0.2366, pruned_loss=0.07397, over 13027.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1184, over 33.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3655, pruned_loss=0.1176, over 2781916.33 frames. utt_duration=239.3 frames, utt_pad_proportion=0.0713, over 46796.01 utterances.], batch size: 33, lr: 3.54e-04
+2022-09-18 03:17:07,980 INFO [train.py:885] (0/2) Epoch 13, batch 9400, loss[loss=0.2573, simple_loss=0.3175, pruned_loss=0.09859, over 14272.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.04192, over 120.00 utterances.], tot_loss[loss=0.3004, simple_loss=0.3654, pruned_loss=0.1177, over 2784588.96 frames. utt_duration=240.1 frames, utt_pad_proportion=0.06924, over 46678.58 utterances.], batch size: 120, lr: 3.54e-04
+2022-09-18 03:17:36,853 INFO [train.py:885] (0/2) Epoch 13, batch 9450, loss[loss=0.3713, simple_loss=0.4396, pruned_loss=0.1515, over 13758.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07238, over 411.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3601, pruned_loss=0.1153, over 2782118.68 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06671, over 43882.61 utterances.], batch size: 411, lr: 3.54e-04
+2022-09-18 03:18:06,866 INFO [train.py:885] (0/2) Epoch 13, batch 9500, loss[loss=0.38, simple_loss=0.4266, pruned_loss=0.1667, over 14211.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04473, over 335.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3589, pruned_loss=0.1152, over 2782340.77 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06457, over 43462.79 utterances.], batch size: 335, lr: 3.54e-04
+2022-09-18 03:18:36,183 INFO [train.py:885] (0/2) Epoch 13, batch 9550, loss[loss=0.3173, simple_loss=0.3889, pruned_loss=0.1228, over 14214.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04382, over 306.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3584, pruned_loss=0.1149, over 2783016.21 frames. utt_duration=259 frames, utt_pad_proportion=0.06448, over 43230.93 utterances.], batch size: 306, lr: 3.53e-04
+2022-09-18 03:19:06,096 INFO [train.py:885] (0/2) Epoch 13, batch 9600, loss[loss=0.2438, simple_loss=0.3003, pruned_loss=0.09363, over 14090.00 frames. utt_duration=518.5 frames, utt_pad_proportion=0.05044, over 109.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3631, pruned_loss=0.1176, over 2783391.32 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06632, over 44938.21 utterances.], batch size: 109, lr: 3.53e-04
+2022-09-18 03:19:35,930 INFO [train.py:885] (0/2) Epoch 13, batch 9650, loss[loss=0.133, simple_loss=0.1791, pruned_loss=0.04347, over 13231.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1027, over 33.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3565, pruned_loss=0.1141, over 2780514.68 frames. utt_duration=262.7 frames, utt_pad_proportion=0.06701, over 42573.62 utterances.], batch size: 33, lr: 3.53e-04
+2022-09-18 03:20:06,427 INFO [train.py:885] (0/2) Epoch 13, batch 9700, loss[loss=0.237, simple_loss=0.3086, pruned_loss=0.08267, over 14173.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04478, over 109.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3611, pruned_loss=0.1159, over 2779736.67 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07041, over 44960.37 utterances.], batch size: 109, lr: 3.53e-04
+2022-09-18 03:20:43,424 INFO [train.py:885] (0/2) Epoch 13, batch 9750, loss[loss=0.2156, simple_loss=0.2775, pruned_loss=0.07688, over 14063.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05491, over 79.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3639, pruned_loss=0.1171, over 2781922.14 frames. utt_duration=244.3 frames, utt_pad_proportion=0.06946, over 45824.17 utterances.], batch size: 79, lr: 3.53e-04
+2022-09-18 03:21:12,928 INFO [train.py:885] (0/2) Epoch 13, batch 9800, loss[loss=0.164, simple_loss=0.2356, pruned_loss=0.04617, over 13675.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08577, over 42.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3646, pruned_loss=0.117, over 2786461.40 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06953, over 46302.77 utterances.], batch size: 42, lr: 3.53e-04
+2022-09-18 03:21:42,799 INFO [train.py:885] (0/2) Epoch 13, batch 9850, loss[loss=0.1791, simple_loss=0.234, pruned_loss=0.06209, over 14053.00 frames. utt_duration=713.2 frames, utt_pad_proportion=0.05663, over 79.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3581, pruned_loss=0.1141, over 2779693.60 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06968, over 44436.39 utterances.], batch size: 79, lr: 3.53e-04
+2022-09-18 03:22:12,182 INFO [train.py:885] (0/2) Epoch 13, batch 9900, loss[loss=0.2445, simple_loss=0.306, pruned_loss=0.0915, over 14112.00 frames. utt_duration=577.5 frames, utt_pad_proportion=0.05176, over 98.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3583, pruned_loss=0.1149, over 2782134.60 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06856, over 43434.18 utterances.], batch size: 98, lr: 3.53e-04
+2022-09-18 03:22:41,650 INFO [train.py:885] (0/2) Epoch 13, batch 9950, loss[loss=0.3065, simple_loss=0.3781, pruned_loss=0.1174, over 14367.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03507, over 210.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3575, pruned_loss=0.1145, over 2779549.20 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06848, over 43248.74 utterances.], batch size: 210, lr: 3.53e-04
+2022-09-18 03:23:11,679 INFO [train.py:885] (0/2) Epoch 13, batch 10000, loss[loss=0.3039, simple_loss=0.409, pruned_loss=0.09933, over 13714.00 frames. utt_duration=116.4 frames, utt_pad_proportion=0.07615, over 477.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3615, pruned_loss=0.1161, over 2779175.04 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07095, over 45108.27 utterances.], batch size: 477, lr: 3.53e-04
+2022-09-18 03:23:41,579 INFO [train.py:885] (0/2) Epoch 13, batch 10050, loss[loss=0.3176, simple_loss=0.386, pruned_loss=0.1246, over 14309.00 frames. utt_duration=220 frames, utt_pad_proportion=0.0392, over 262.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3582, pruned_loss=0.1148, over 2775878.91 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06867, over 43362.97 utterances.], batch size: 262, lr: 3.53e-04
+2022-09-18 03:24:10,398 INFO [train.py:885] (0/2) Epoch 13, batch 10100, loss[loss=0.2843, simple_loss=0.3606, pruned_loss=0.104, over 14257.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04139, over 225.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3588, pruned_loss=0.1148, over 2779429.11 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06827, over 43277.08 utterances.], batch size: 225, lr: 3.53e-04
+2022-09-18 03:24:40,485 INFO [train.py:885] (0/2) Epoch 13, batch 10150, loss[loss=0.7765, simple_loss=0.772, pruned_loss=0.3905, over 12466.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 810.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3605, pruned_loss=0.1154, over 2777596.31 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07115, over 44329.66 utterances.], batch size: 810, lr: 3.53e-04
+2022-09-18 03:25:10,056 INFO [train.py:885] (0/2) Epoch 13, batch 10200, loss[loss=0.4244, simple_loss=0.5081, pruned_loss=0.1704, over 13160.00 frames. utt_duration=82.13 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3623, pruned_loss=0.1162, over 2774756.82 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07426, over 45273.64 utterances.], batch size: 653, lr: 3.53e-04
+2022-09-18 03:25:39,773 INFO [train.py:885] (0/2) Epoch 13, batch 10250, loss[loss=0.363, simple_loss=0.415, pruned_loss=0.1555, over 14217.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04394, over 335.00 utterances.], tot_loss[loss=0.2986, simple_loss=0.3631, pruned_loss=0.117, over 2778669.14 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0728, over 45287.89 utterances.], batch size: 335, lr: 3.53e-04
+2022-09-18 03:26:08,764 INFO [train.py:885] (0/2) Epoch 13, batch 10300, loss[loss=0.3314, simple_loss=0.3942, pruned_loss=0.1343, over 14284.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.0414, over 262.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.358, pruned_loss=0.1146, over 2781929.01 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06947, over 43096.77 utterances.], batch size: 262, lr: 3.53e-04
+2022-09-18 03:26:38,571 INFO [train.py:885] (0/2) Epoch 13, batch 10350, loss[loss=0.2084, simple_loss=0.2757, pruned_loss=0.07056, over 13966.00 frames. utt_duration=932.5 frames, utt_pad_proportion=0.06286, over 60.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3606, pruned_loss=0.1155, over 2780834.53 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07241, over 44786.09 utterances.], batch size: 60, lr: 3.53e-04
+2022-09-18 03:27:08,177 INFO [train.py:885] (0/2) Epoch 13, batch 10400, loss[loss=0.2063, simple_loss=0.2612, pruned_loss=0.07576, over 13963.00 frames. utt_duration=932.3 frames, utt_pad_proportion=0.06015, over 60.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3618, pruned_loss=0.1154, over 2783521.02 frames. utt_duration=246 frames, utt_pad_proportion=0.07279, over 45523.85 utterances.], batch size: 60, lr: 3.53e-04
+2022-09-18 03:27:38,197 INFO [train.py:885] (0/2) Epoch 13, batch 10450, loss[loss=0.287, simple_loss=0.3564, pruned_loss=0.1088, over 14349.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03581, over 210.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3659, pruned_loss=0.1177, over 2784278.14 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07374, over 46681.38 utterances.], batch size: 210, lr: 3.52e-04
+2022-09-18 03:28:07,648 INFO [train.py:885] (0/2) Epoch 13, batch 10500, loss[loss=0.1906, simple_loss=0.2604, pruned_loss=0.06038, over 13994.00 frames. utt_duration=710 frames, utt_pad_proportion=0.05962, over 79.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3631, pruned_loss=0.1165, over 2785934.29 frames. utt_duration=247 frames, utt_pad_proportion=0.07269, over 45382.88 utterances.], batch size: 79, lr: 3.52e-04
+2022-09-18 03:28:37,261 INFO [train.py:885] (0/2) Epoch 13, batch 10550, loss[loss=0.3072, simple_loss=0.4106, pruned_loss=0.1019, over 13641.00 frames. utt_duration=98.84 frames, utt_pad_proportion=0.07625, over 560.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3643, pruned_loss=0.1165, over 2785309.54 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07317, over 46019.37 utterances.], batch size: 560, lr: 3.52e-04
+2022-09-18 03:29:06,564 INFO [train.py:885] (0/2) Epoch 13, batch 10600, loss[loss=0.1671, simple_loss=0.2236, pruned_loss=0.05529, over 13651.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08603, over 42.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3617, pruned_loss=0.1155, over 2785999.99 frames. utt_duration=250 frames, utt_pad_proportion=0.07264, over 44838.94 utterances.], batch size: 42, lr: 3.52e-04
+2022-09-18 03:29:36,650 INFO [train.py:885] (0/2) Epoch 13, batch 10650, loss[loss=0.409, simple_loss=0.4938, pruned_loss=0.1621, over 13110.00 frames. utt_duration=81.87 frames, utt_pad_proportion=0.1101, over 653.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3623, pruned_loss=0.116, over 2779610.49 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07337, over 45455.95 utterances.], batch size: 653, lr: 3.52e-04
+2022-09-18 03:30:14,422 INFO [train.py:885] (0/2) Epoch 13, batch 10700, loss[loss=0.1395, simple_loss=0.1833, pruned_loss=0.04786, over 12304.00 frames. utt_duration=2052 frames, utt_pad_proportion=0.1575, over 24.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3641, pruned_loss=0.1172, over 2776554.38 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07274, over 45809.00 utterances.], batch size: 24, lr: 3.52e-04
+2022-09-18 03:30:43,760 INFO [train.py:885] (0/2) Epoch 13, batch 10750, loss[loss=0.3149, simple_loss=0.3859, pruned_loss=0.122, over 14361.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03292, over 244.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3655, pruned_loss=0.1178, over 2778710.94 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07229, over 45961.36 utterances.], batch size: 244, lr: 3.52e-04
+2022-09-18 03:31:13,698 INFO [train.py:885] (0/2) Epoch 13, batch 10800, loss[loss=0.3, simple_loss=0.3716, pruned_loss=0.1142, over 14339.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.0364, over 180.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3627, pruned_loss=0.116, over 2779435.99 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07122, over 45162.78 utterances.], batch size: 180, lr: 3.52e-04
+2022-09-18 03:31:43,631 INFO [train.py:885] (0/2) Epoch 13, batch 10850, loss[loss=0.3972, simple_loss=0.4359, pruned_loss=0.1792, over 14246.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04221, over 335.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3669, pruned_loss=0.1185, over 2778604.66 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07156, over 47332.89 utterances.], batch size: 335, lr: 3.52e-04
+2022-09-18 03:32:13,461 INFO [train.py:885] (0/2) Epoch 13, batch 10900, loss[loss=0.2803, simple_loss=0.3528, pruned_loss=0.1039, over 14326.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04047, over 167.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3652, pruned_loss=0.1174, over 2777361.26 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07113, over 46650.35 utterances.], batch size: 167, lr: 3.52e-04
+2022-09-18 03:32:42,460 INFO [train.py:885] (0/2) Epoch 13, batch 10950, loss[loss=0.3261, simple_loss=0.4294, pruned_loss=0.1114, over 13547.00 frames. utt_duration=98.13 frames, utt_pad_proportion=0.08289, over 560.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3644, pruned_loss=0.1173, over 2774949.00 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07255, over 46431.26 utterances.], batch size: 560, lr: 3.52e-04
+2022-09-18 03:33:12,564 INFO [train.py:885] (0/2) Epoch 13, batch 11000, loss[loss=0.2095, simple_loss=0.28, pruned_loss=0.06947, over 13904.00 frames. utt_duration=807.8 frames, utt_pad_proportion=0.05961, over 69.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3645, pruned_loss=0.1166, over 2777584.77 frames. utt_duration=238 frames, utt_pad_proportion=0.07235, over 46964.66 utterances.], batch size: 69, lr: 3.52e-04
+2022-09-18 03:33:41,970 INFO [train.py:885] (0/2) Epoch 13, batch 11050, loss[loss=0.3378, simple_loss=0.422, pruned_loss=0.1268, over 13982.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05641, over 365.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3658, pruned_loss=0.1164, over 2774081.59 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07546, over 48040.71 utterances.], batch size: 365, lr: 3.52e-04
+2022-09-18 03:34:11,937 INFO [train.py:885] (0/2) Epoch 13, batch 11100, loss[loss=0.3531, simple_loss=0.4087, pruned_loss=0.1488, over 14280.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.0399, over 225.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3625, pruned_loss=0.1156, over 2774709.68 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07428, over 46565.94 utterances.], batch size: 225, lr: 3.52e-04
+2022-09-18 03:34:41,916 INFO [train.py:885] (0/2) Epoch 13, batch 11150, loss[loss=0.1813, simple_loss=0.2552, pruned_loss=0.05374, over 14077.00 frames. utt_duration=805.9 frames, utt_pad_proportion=0.05851, over 70.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3645, pruned_loss=0.1165, over 2775959.93 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07479, over 47488.17 utterances.], batch size: 70, lr: 3.52e-04
+2022-09-18 03:35:11,662 INFO [train.py:885] (0/2) Epoch 13, batch 11200, loss[loss=0.3273, simple_loss=0.399, pruned_loss=0.1278, over 14260.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04142, over 225.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3671, pruned_loss=0.1186, over 2773080.49 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07624, over 47873.56 utterances.], batch size: 225, lr: 3.52e-04
+2022-09-18 03:35:41,128 INFO [train.py:885] (0/2) Epoch 13, batch 11250, loss[loss=0.4044, simple_loss=0.4938, pruned_loss=0.1574, over 13217.00 frames. utt_duration=82.43 frames, utt_pad_proportion=0.104, over 653.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3685, pruned_loss=0.12, over 2775634.49 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07519, over 47884.55 utterances.], batch size: 653, lr: 3.52e-04
+2022-09-18 03:36:10,912 INFO [train.py:885] (0/2) Epoch 13, batch 11300, loss[loss=0.189, simple_loss=0.2366, pruned_loss=0.07067, over 12741.00 frames. utt_duration=2125 frames, utt_pad_proportion=0.1284, over 24.00 utterances.], tot_loss[loss=0.302, simple_loss=0.366, pruned_loss=0.119, over 2774011.30 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07469, over 47376.52 utterances.], batch size: 24, lr: 3.52e-04
+2022-09-18 03:36:40,281 INFO [train.py:885] (0/2) Epoch 13, batch 11350, loss[loss=0.2094, simple_loss=0.2807, pruned_loss=0.06905, over 13907.00 frames. utt_duration=796.2 frames, utt_pad_proportion=0.07093, over 70.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3682, pruned_loss=0.1207, over 2775252.47 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07457, over 47552.63 utterances.], batch size: 70, lr: 3.52e-04
+2022-09-18 03:37:10,067 INFO [train.py:885] (0/2) Epoch 13, batch 11400, loss[loss=0.3545, simple_loss=0.412, pruned_loss=0.1485, over 14235.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04242, over 306.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.363, pruned_loss=0.1173, over 2773609.90 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07307, over 45770.72 utterances.], batch size: 306, lr: 3.51e-04
+2022-09-18 03:37:39,297 INFO [train.py:885] (0/2) Epoch 13, batch 11450, loss[loss=0.3487, simple_loss=0.4403, pruned_loss=0.1286, over 13663.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07787, over 477.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3641, pruned_loss=0.1177, over 2774917.80 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07295, over 46674.23 utterances.], batch size: 477, lr: 3.51e-04
+2022-09-18 03:38:09,295 INFO [train.py:885] (0/2) Epoch 13, batch 11500, loss[loss=0.1502, simple_loss=0.2072, pruned_loss=0.04658, over 13609.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09067, over 42.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3637, pruned_loss=0.1177, over 2779763.31 frames. utt_duration=241.6 frames, utt_pad_proportion=0.06979, over 46302.03 utterances.], batch size: 42, lr: 3.51e-04
+2022-09-18 03:38:38,842 INFO [train.py:885] (0/2) Epoch 13, batch 11550, loss[loss=0.3285, simple_loss=0.3907, pruned_loss=0.1331, over 14380.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03432, over 210.00 utterances.], tot_loss[loss=0.305, simple_loss=0.3684, pruned_loss=0.1208, over 2778609.19 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07224, over 47696.58 utterances.], batch size: 210, lr: 3.51e-04
+2022-09-18 03:39:09,250 INFO [train.py:885] (0/2) Epoch 13, batch 11600, loss[loss=0.3272, simple_loss=0.3927, pruned_loss=0.1309, over 14316.00 frames. utt_duration=188.7 frames, utt_pad_proportion=0.03746, over 306.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3682, pruned_loss=0.1201, over 2774509.43 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07434, over 48105.33 utterances.], batch size: 306, lr: 3.51e-04
+2022-09-18 03:39:38,513 INFO [train.py:885] (0/2) Epoch 13, batch 11650, loss[loss=0.2557, simple_loss=0.3259, pruned_loss=0.09275, over 14198.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04308, over 109.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3689, pruned_loss=0.1198, over 2778533.53 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07333, over 48495.19 utterances.], batch size: 109, lr: 3.51e-04
+2022-09-18 03:40:08,687 INFO [train.py:885] (0/2) Epoch 13, batch 11700, loss[loss=0.2106, simple_loss=0.2624, pruned_loss=0.07941, over 12907.00 frames. utt_duration=1987 frames, utt_pad_proportion=0.1216, over 26.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.365, pruned_loss=0.1177, over 2780409.70 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07156, over 46650.47 utterances.], batch size: 26, lr: 3.51e-04
+2022-09-18 03:40:37,853 INFO [train.py:885] (0/2) Epoch 13, batch 11750, loss[loss=0.3352, simple_loss=0.3899, pruned_loss=0.1403, over 14291.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04105, over 262.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.367, pruned_loss=0.1189, over 2780638.43 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07246, over 47008.58 utterances.], batch size: 262, lr: 3.51e-04
+2022-09-18 03:41:16,114 INFO [train.py:885] (0/2) Epoch 13, batch 11800, loss[loss=0.2965, simple_loss=0.3622, pruned_loss=0.1154, over 14388.00 frames. utt_duration=346.1 frames, utt_pad_proportion=0.03586, over 167.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3651, pruned_loss=0.1173, over 2779234.32 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07268, over 46487.40 utterances.], batch size: 167, lr: 3.51e-04
+2022-09-18 03:41:52,649 INFO [train.py:885] (0/2) Epoch 13, batch 11850, loss[loss=0.3595, simple_loss=0.4168, pruned_loss=0.1511, over 14288.00 frames. utt_duration=254.3 frames, utt_pad_proportion=0.04044, over 226.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3626, pruned_loss=0.1151, over 2787053.67 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06917, over 46038.92 utterances.], batch size: 226, lr: 3.51e-04
+2022-09-18 03:42:22,558 INFO [train.py:885] (0/2) Epoch 13, batch 11900, loss[loss=0.4773, simple_loss=0.5423, pruned_loss=0.2062, over 13183.00 frames. utt_duration=82.26 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.361, pruned_loss=0.1146, over 2781372.50 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07053, over 45774.03 utterances.], batch size: 653, lr: 3.51e-04
+2022-09-18 03:42:51,914 INFO [train.py:885] (0/2) Epoch 13, batch 11950, loss[loss=0.3142, simple_loss=0.3677, pruned_loss=0.1304, over 14345.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.0395, over 167.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3649, pruned_loss=0.1178, over 2784128.29 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07075, over 46263.64 utterances.], batch size: 167, lr: 3.51e-04
+2022-09-18 03:43:21,294 INFO [train.py:885] (0/2) Epoch 13, batch 12000, loss[loss=0.2051, simple_loss=0.2613, pruned_loss=0.07441, over 13682.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.07916, over 50.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3623, pruned_loss=0.1166, over 2782578.50 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07187, over 45504.51 utterances.], batch size: 50, lr: 3.51e-04
+2022-09-18 03:43:21,296 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 03:43:26,001 INFO [train.py:914] (0/2) Epoch 13, validation: loss=0.196, simple_loss=0.2771, pruned_loss=0.05742, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 03:43:55,386 INFO [train.py:885] (0/2) Epoch 13, batch 12050, loss[loss=0.2496, simple_loss=0.3214, pruned_loss=0.08893, over 14324.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04001, over 154.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3619, pruned_loss=0.1167, over 2786425.54 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06995, over 44935.16 utterances.], batch size: 154, lr: 3.51e-04
+2022-09-18 03:44:25,485 INFO [train.py:885] (0/2) Epoch 13, batch 12100, loss[loss=0.4979, simple_loss=0.5678, pruned_loss=0.214, over 13198.00 frames. utt_duration=82.38 frames, utt_pad_proportion=0.1046, over 653.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3634, pruned_loss=0.117, over 2787331.42 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06802, over 45609.22 utterances.], batch size: 653, lr: 3.51e-04
+2022-09-18 03:45:01,694 INFO [train.py:885] (0/2) Epoch 13, batch 12150, loss[loss=0.2258, simple_loss=0.296, pruned_loss=0.07778, over 13723.00 frames. utt_duration=916.4 frames, utt_pad_proportion=0.07901, over 60.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3621, pruned_loss=0.1164, over 2787894.86 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06691, over 44629.33 utterances.], batch size: 60, lr: 3.51e-04
+2022-09-18 03:45:31,366 INFO [train.py:885] (0/2) Epoch 13, batch 12200, loss[loss=0.1705, simple_loss=0.2302, pruned_loss=0.05545, over 13822.00 frames. utt_duration=922.7 frames, utt_pad_proportion=0.06989, over 60.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3599, pruned_loss=0.1151, over 2781296.92 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06976, over 44644.50 utterances.], batch size: 60, lr: 3.51e-04
+2022-09-18 03:46:00,569 INFO [train.py:885] (0/2) Epoch 13, batch 12250, loss[loss=0.3212, simple_loss=0.3853, pruned_loss=0.1285, over 14266.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04147, over 225.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3599, pruned_loss=0.1151, over 2782115.95 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06882, over 44615.73 utterances.], batch size: 225, lr: 3.51e-04
+2022-09-18 03:46:30,516 INFO [train.py:885] (0/2) Epoch 13, batch 12300, loss[loss=0.1446, simple_loss=0.189, pruned_loss=0.0501, over 13255.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1096, over 33.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3606, pruned_loss=0.116, over 2785973.09 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06863, over 44549.40 utterances.], batch size: 33, lr: 3.50e-04
+2022-09-18 03:47:00,275 INFO [train.py:885] (0/2) Epoch 13, batch 12350, loss[loss=0.3525, simple_loss=0.3984, pruned_loss=0.1534, over 14357.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.0383, over 167.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.3658, pruned_loss=0.1186, over 2783673.09 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07171, over 46521.16 utterances.], batch size: 167, lr: 3.50e-04
+2022-09-18 03:47:29,657 INFO [train.py:885] (0/2) Epoch 13, batch 12400, loss[loss=0.2862, simple_loss=0.3688, pruned_loss=0.1018, over 14341.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03458, over 244.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3659, pruned_loss=0.1196, over 2784914.88 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07198, over 45956.77 utterances.], batch size: 244, lr: 3.50e-04
+2022-09-18 03:47:59,170 INFO [train.py:885] (0/2) Epoch 13, batch 12450, loss[loss=0.1788, simple_loss=0.2398, pruned_loss=0.05886, over 13043.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.119, over 33.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3674, pruned_loss=0.1201, over 2783001.73 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07206, over 46984.44 utterances.], batch size: 33, lr: 3.50e-04
+2022-09-18 03:48:35,869 INFO [train.py:885] (0/2) Epoch 13, batch 12500, loss[loss=0.379, simple_loss=0.4274, pruned_loss=0.1653, over 14208.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04413, over 335.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3682, pruned_loss=0.1211, over 2779893.11 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07242, over 46944.93 utterances.], batch size: 335, lr: 3.50e-04
+2022-09-18 03:49:05,860 INFO [train.py:885] (0/2) Epoch 13, batch 12550, loss[loss=0.2216, simple_loss=0.2832, pruned_loss=0.08003, over 13717.00 frames. utt_duration=915.9 frames, utt_pad_proportion=0.07673, over 60.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3685, pruned_loss=0.1204, over 2776475.04 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07408, over 48252.27 utterances.], batch size: 60, lr: 3.50e-04
+2022-09-18 03:49:12,393 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-164000.pt
+2022-09-18 03:49:34,348 INFO [train.py:885] (0/2) Epoch 13, batch 12600, loss[loss=0.2858, simple_loss=0.353, pruned_loss=0.1093, over 14315.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.03776, over 154.00 utterances.], tot_loss[loss=0.3062, simple_loss=0.3697, pruned_loss=0.1214, over 2779651.94 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07361, over 48004.55 utterances.], batch size: 154, lr: 3.50e-04
+2022-09-18 03:49:45,128 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-13.pt
+2022-09-18 03:49:52,540 INFO [train.py:885] (0/2) Epoch 14, batch 0, loss[loss=0.3535, simple_loss=0.4026, pruned_loss=0.1522, over 14320.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03827, over 283.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.4026, pruned_loss=0.1522, over 14320.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03827, over 283.00 utterances.], batch size: 283, lr: 3.39e-04
+2022-09-18 03:50:24,683 INFO [train.py:885] (0/2) Epoch 14, batch 50, loss[loss=0.185, simple_loss=0.2223, pruned_loss=0.07384, over 13319.00 frames. utt_duration=1568 frames, utt_pad_proportion=0.09283, over 34.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3639, pruned_loss=0.117, over 622526.28 frames. utt_duration=226.1 frames, utt_pad_proportion=0.07885, over 11084.80 utterances.], batch size: 34, lr: 3.39e-04
+2022-09-18 03:50:54,268 INFO [train.py:885] (0/2) Epoch 14, batch 100, loss[loss=0.174, simple_loss=0.2242, pruned_loss=0.06194, over 13129.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.116, over 33.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3623, pruned_loss=0.1155, over 1102494.18 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07125, over 18327.68 utterances.], batch size: 33, lr: 3.39e-04
+2022-09-18 03:51:24,436 INFO [train.py:885] (0/2) Epoch 14, batch 150, loss[loss=0.2074, simple_loss=0.287, pruned_loss=0.06389, over 14173.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04833, over 89.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3611, pruned_loss=0.1142, over 1477688.42 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06646, over 24362.69 utterances.], batch size: 89, lr: 3.39e-04
+2022-09-18 03:51:54,034 INFO [train.py:885] (0/2) Epoch 14, batch 200, loss[loss=0.3461, simple_loss=0.4305, pruned_loss=0.1309, over 13634.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08061, over 477.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3546, pruned_loss=0.111, over 1763401.52 frames. utt_duration=259.8 frames, utt_pad_proportion=0.06919, over 27310.22 utterances.], batch size: 477, lr: 3.39e-04
+2022-09-18 03:52:23,682 INFO [train.py:885] (0/2) Epoch 14, batch 250, loss[loss=0.479, simple_loss=0.5393, pruned_loss=0.2094, over 13178.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1057, over 653.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3579, pruned_loss=0.1125, over 1989626.58 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0684, over 32426.83 utterances.], batch size: 653, lr: 3.39e-04
+2022-09-18 03:52:53,333 INFO [train.py:885] (0/2) Epoch 14, batch 300, loss[loss=0.2032, simple_loss=0.2745, pruned_loss=0.06594, over 13784.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.0797, over 42.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3572, pruned_loss=0.1121, over 2166849.94 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06833, over 35130.82 utterances.], batch size: 42, lr: 3.39e-04
+2022-09-18 03:53:23,028 INFO [train.py:885] (0/2) Epoch 14, batch 350, loss[loss=0.3436, simple_loss=0.432, pruned_loss=0.1277, over 13583.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07971, over 560.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3574, pruned_loss=0.1123, over 2300189.01 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06941, over 37277.40 utterances.], batch size: 560, lr: 3.39e-04
+2022-09-18 03:53:52,810 INFO [train.py:885] (0/2) Epoch 14, batch 400, loss[loss=0.2993, simple_loss=0.3684, pruned_loss=0.1152, over 14406.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03324, over 211.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3628, pruned_loss=0.1164, over 2411207.84 frames. utt_duration=242 frames, utt_pad_proportion=0.06936, over 40105.05 utterances.], batch size: 211, lr: 3.39e-04
+2022-09-18 03:54:22,102 INFO [train.py:885] (0/2) Epoch 14, batch 450, loss[loss=0.4656, simple_loss=0.5365, pruned_loss=0.1973, over 13155.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3608, pruned_loss=0.1152, over 2494095.83 frames. utt_duration=246.7 frames, utt_pad_proportion=0.0679, over 40681.50 utterances.], batch size: 653, lr: 3.38e-04
+2022-09-18 03:54:51,210 INFO [train.py:885] (0/2) Epoch 14, batch 500, loss[loss=0.2711, simple_loss=0.3394, pruned_loss=0.1014, over 14163.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.04535, over 109.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3629, pruned_loss=0.1159, over 2555721.05 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07039, over 42870.22 utterances.], batch size: 109, lr: 3.38e-04
+2022-09-18 03:55:21,835 INFO [train.py:885] (0/2) Epoch 14, batch 550, loss[loss=0.5712, simple_loss=0.6385, pruned_loss=0.252, over 12509.00 frames. utt_duration=63.35 frames, utt_pad_proportion=0.1439, over 810.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3665, pruned_loss=0.1178, over 2605606.56 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07099, over 44805.05 utterances.], batch size: 810, lr: 3.38e-04
+2022-09-18 03:55:50,852 INFO [train.py:885] (0/2) Epoch 14, batch 600, loss[loss=0.6231, simple_loss=0.6591, pruned_loss=0.2936, over 12538.00 frames. utt_duration=63.5 frames, utt_pad_proportion=0.1418, over 810.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3695, pruned_loss=0.1196, over 2645606.62 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07306, over 46058.10 utterances.], batch size: 810, lr: 3.38e-04
+2022-09-18 03:56:20,833 INFO [train.py:885] (0/2) Epoch 14, batch 650, loss[loss=0.3261, simple_loss=0.3783, pruned_loss=0.137, over 14378.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03718, over 167.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3659, pruned_loss=0.1181, over 2675572.18 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07179, over 45136.64 utterances.], batch size: 167, lr: 3.38e-04
+2022-09-18 03:56:49,957 INFO [train.py:885] (0/2) Epoch 14, batch 700, loss[loss=0.2185, simple_loss=0.2762, pruned_loss=0.08046, over 14076.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.05311, over 70.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3674, pruned_loss=0.1193, over 2699509.65 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07257, over 45946.89 utterances.], batch size: 70, lr: 3.38e-04
+2022-09-18 03:57:19,750 INFO [train.py:885] (0/2) Epoch 14, batch 750, loss[loss=0.3953, simple_loss=0.4863, pruned_loss=0.1522, over 13101.00 frames. utt_duration=81.83 frames, utt_pad_proportion=0.1106, over 653.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3639, pruned_loss=0.1181, over 2719387.79 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07145, over 44724.92 utterances.], batch size: 653, lr: 3.38e-04
+2022-09-18 03:57:49,398 INFO [train.py:885] (0/2) Epoch 14, batch 800, loss[loss=0.3672, simple_loss=0.4294, pruned_loss=0.1525, over 13995.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05628, over 365.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3647, pruned_loss=0.1193, over 2732398.01 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07266, over 45329.32 utterances.], batch size: 365, lr: 3.38e-04
+2022-09-18 03:58:18,671 INFO [train.py:885] (0/2) Epoch 14, batch 850, loss[loss=0.4722, simple_loss=0.5411, pruned_loss=0.2017, over 13175.00 frames. utt_duration=82.24 frames, utt_pad_proportion=0.1061, over 653.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.366, pruned_loss=0.1202, over 2743667.30 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07219, over 45556.10 utterances.], batch size: 653, lr: 3.38e-04
+2022-09-18 03:58:48,135 INFO [train.py:885] (0/2) Epoch 14, batch 900, loss[loss=0.3249, simple_loss=0.3825, pruned_loss=0.1337, over 14359.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03846, over 167.00 utterances.], tot_loss[loss=0.3022, simple_loss=0.3656, pruned_loss=0.1194, over 2755535.93 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07086, over 45356.28 utterances.], batch size: 167, lr: 3.38e-04
+2022-09-18 03:59:17,422 INFO [train.py:885] (0/2) Epoch 14, batch 950, loss[loss=0.2541, simple_loss=0.3198, pruned_loss=0.09424, over 14275.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04485, over 110.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3646, pruned_loss=0.1188, over 2760132.96 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07285, over 44890.61 utterances.], batch size: 110, lr: 3.38e-04
+2022-09-18 03:59:46,920 INFO [train.py:885] (0/2) Epoch 14, batch 1000, loss[loss=0.3361, simple_loss=0.3847, pruned_loss=0.1437, over 14359.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03816, over 167.00 utterances.], tot_loss[loss=0.301, simple_loss=0.365, pruned_loss=0.1185, over 2765828.97 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07264, over 45324.58 utterances.], batch size: 167, lr: 3.38e-04
+2022-09-18 04:00:16,076 INFO [train.py:885] (0/2) Epoch 14, batch 1050, loss[loss=0.2436, simple_loss=0.2989, pruned_loss=0.09411, over 14130.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.05043, over 98.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.3639, pruned_loss=0.1177, over 2768099.13 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07243, over 45691.77 utterances.], batch size: 98, lr: 3.38e-04
+2022-09-18 04:00:46,680 INFO [train.py:885] (0/2) Epoch 14, batch 1100, loss[loss=0.2921, simple_loss=0.384, pruned_loss=0.1001, over 13943.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05912, over 365.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3698, pruned_loss=0.1215, over 2771779.54 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07363, over 47527.82 utterances.], batch size: 365, lr: 3.38e-04
+2022-09-18 04:01:16,040 INFO [train.py:885] (0/2) Epoch 14, batch 1150, loss[loss=0.2873, simple_loss=0.3597, pruned_loss=0.1075, over 14200.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.04891, over 141.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3682, pruned_loss=0.1196, over 2773375.01 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07373, over 47803.16 utterances.], batch size: 141, lr: 3.38e-04
+2022-09-18 04:01:45,699 INFO [train.py:885] (0/2) Epoch 14, batch 1200, loss[loss=0.3655, simple_loss=0.4148, pruned_loss=0.1581, over 14370.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03443, over 195.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3695, pruned_loss=0.1205, over 2773141.05 frames. utt_duration=234 frames, utt_pad_proportion=0.07442, over 47715.36 utterances.], batch size: 195, lr: 3.38e-04
+2022-09-18 04:02:15,216 INFO [train.py:885] (0/2) Epoch 14, batch 1250, loss[loss=0.3597, simple_loss=0.4103, pruned_loss=0.1546, over 14212.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04382, over 306.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3723, pruned_loss=0.1218, over 2778138.79 frames. utt_duration=226.8 frames, utt_pad_proportion=0.07424, over 49325.07 utterances.], batch size: 306, lr: 3.38e-04
+2022-09-18 04:02:44,768 INFO [train.py:885] (0/2) Epoch 14, batch 1300, loss[loss=0.2335, simple_loss=0.2992, pruned_loss=0.08388, over 13955.00 frames. utt_duration=932.1 frames, utt_pad_proportion=0.06323, over 60.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.367, pruned_loss=0.1199, over 2782337.48 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07096, over 46558.28 utterances.], batch size: 60, lr: 3.38e-04
+2022-09-18 04:03:13,829 INFO [train.py:885] (0/2) Epoch 14, batch 1350, loss[loss=0.3297, simple_loss=0.3914, pruned_loss=0.134, over 14373.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03244, over 244.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.3649, pruned_loss=0.1185, over 2779392.96 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07277, over 46189.41 utterances.], batch size: 244, lr: 3.38e-04
+2022-09-18 04:03:43,575 INFO [train.py:885] (0/2) Epoch 14, batch 1400, loss[loss=0.3161, simple_loss=0.3803, pruned_loss=0.126, over 14369.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03479, over 210.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3656, pruned_loss=0.1184, over 2774060.15 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07473, over 47398.33 utterances.], batch size: 210, lr: 3.38e-04
+2022-09-18 04:04:12,749 INFO [train.py:885] (0/2) Epoch 14, batch 1450, loss[loss=0.2267, simple_loss=0.3027, pruned_loss=0.07531, over 13676.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.0785, over 50.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3635, pruned_loss=0.1165, over 2774874.72 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07417, over 46944.16 utterances.], batch size: 50, lr: 3.37e-04
+2022-09-18 04:04:42,866 INFO [train.py:885] (0/2) Epoch 14, batch 1500, loss[loss=0.5377, simple_loss=0.5879, pruned_loss=0.2437, over 13140.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3635, pruned_loss=0.1172, over 2772500.09 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07528, over 46285.94 utterances.], batch size: 653, lr: 3.37e-04
+2022-09-18 04:05:12,780 INFO [train.py:885] (0/2) Epoch 14, batch 1550, loss[loss=0.4183, simple_loss=0.4537, pruned_loss=0.1915, over 14206.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04453, over 335.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3641, pruned_loss=0.118, over 2778904.64 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0741, over 45111.33 utterances.], batch size: 335, lr: 3.37e-04
+2022-09-18 04:05:41,811 INFO [train.py:885] (0/2) Epoch 14, batch 1600, loss[loss=0.2379, simple_loss=0.3073, pruned_loss=0.0843, over 13998.00 frames. utt_duration=710.3 frames, utt_pad_proportion=0.06044, over 79.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3626, pruned_loss=0.1169, over 2782913.04 frames. utt_duration=250 frames, utt_pad_proportion=0.07055, over 44783.14 utterances.], batch size: 79, lr: 3.37e-04
+2022-09-18 04:06:11,692 INFO [train.py:885] (0/2) Epoch 14, batch 1650, loss[loss=0.3351, simple_loss=0.4175, pruned_loss=0.1263, over 13766.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07274, over 411.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3642, pruned_loss=0.1173, over 2778692.55 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07263, over 45889.41 utterances.], batch size: 411, lr: 3.37e-04
+2022-09-18 04:06:41,724 INFO [train.py:885] (0/2) Epoch 14, batch 1700, loss[loss=0.3256, simple_loss=0.4201, pruned_loss=0.1156, over 13665.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.0783, over 477.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3667, pruned_loss=0.1184, over 2778535.74 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07404, over 47365.37 utterances.], batch size: 477, lr: 3.37e-04
+2022-09-18 04:07:11,437 INFO [train.py:885] (0/2) Epoch 14, batch 1750, loss[loss=0.3969, simple_loss=0.4371, pruned_loss=0.1783, over 14195.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04487, over 306.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3639, pruned_loss=0.1171, over 2784623.85 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07099, over 45334.94 utterances.], batch size: 306, lr: 3.37e-04
+2022-09-18 04:07:40,763 INFO [train.py:885] (0/2) Epoch 14, batch 1800, loss[loss=0.3072, simple_loss=0.3689, pruned_loss=0.1227, over 14337.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03894, over 154.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3632, pruned_loss=0.1168, over 2783579.55 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06994, over 45212.09 utterances.], batch size: 154, lr: 3.37e-04
+2022-09-18 04:08:10,525 INFO [train.py:885] (0/2) Epoch 14, batch 1850, loss[loss=0.1979, simple_loss=0.2569, pruned_loss=0.06946, over 12303.00 frames. utt_duration=2052 frames, utt_pad_proportion=0.1488, over 24.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.3652, pruned_loss=0.1183, over 2783457.40 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07213, over 45878.31 utterances.], batch size: 24, lr: 3.37e-04
+2022-09-18 04:08:39,439 INFO [train.py:885] (0/2) Epoch 14, batch 1900, loss[loss=0.3287, simple_loss=0.4218, pruned_loss=0.1178, over 13694.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.077, over 477.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.3671, pruned_loss=0.1197, over 2781264.23 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07357, over 46747.10 utterances.], batch size: 477, lr: 3.37e-04
+2022-09-18 04:09:09,507 INFO [train.py:885] (0/2) Epoch 14, batch 1950, loss[loss=0.2257, simple_loss=0.2985, pruned_loss=0.07644, over 13423.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08244, over 41.00 utterances.], tot_loss[loss=0.3004, simple_loss=0.3644, pruned_loss=0.1182, over 2771991.23 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07528, over 46498.24 utterances.], batch size: 41, lr: 3.37e-04
+2022-09-18 04:09:38,748 INFO [train.py:885] (0/2) Epoch 14, batch 2000, loss[loss=0.1574, simple_loss=0.2007, pruned_loss=0.0571, over 13362.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.09058, over 26.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3624, pruned_loss=0.1175, over 2774875.91 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07396, over 45191.30 utterances.], batch size: 26, lr: 3.37e-04
+2022-09-18 04:10:08,400 INFO [train.py:885] (0/2) Epoch 14, batch 2050, loss[loss=0.2825, simple_loss=0.3581, pruned_loss=0.1034, over 14264.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04323, over 154.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3635, pruned_loss=0.1176, over 2779988.01 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07081, over 45615.07 utterances.], batch size: 154, lr: 3.37e-04
+2022-09-18 04:10:38,257 INFO [train.py:885] (0/2) Epoch 14, batch 2100, loss[loss=0.1731, simple_loss=0.2188, pruned_loss=0.06368, over 12202.00 frames. utt_duration=2035 frames, utt_pad_proportion=0.1826, over 24.00 utterances.], tot_loss[loss=0.296, simple_loss=0.3603, pruned_loss=0.1158, over 2781966.16 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07103, over 43988.84 utterances.], batch size: 24, lr: 3.37e-04
+2022-09-18 04:11:07,456 INFO [train.py:885] (0/2) Epoch 14, batch 2150, loss[loss=0.2259, simple_loss=0.3028, pruned_loss=0.07451, over 14016.00 frames. utt_duration=711.1 frames, utt_pad_proportion=0.05939, over 79.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.359, pruned_loss=0.1159, over 2785531.40 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06914, over 43057.49 utterances.], batch size: 79, lr: 3.37e-04
+2022-09-18 04:11:37,639 INFO [train.py:885] (0/2) Epoch 14, batch 2200, loss[loss=0.393, simple_loss=0.4708, pruned_loss=0.1576, over 13630.00 frames. utt_duration=98.82 frames, utt_pad_proportion=0.07647, over 560.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3599, pruned_loss=0.1158, over 2783263.88 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07042, over 43884.98 utterances.], batch size: 560, lr: 3.37e-04
+2022-09-18 04:12:13,353 INFO [train.py:885] (0/2) Epoch 14, batch 2250, loss[loss=0.1868, simple_loss=0.2552, pruned_loss=0.0592, over 13528.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08024, over 50.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3574, pruned_loss=0.1142, over 2783086.96 frames. utt_duration=260.7 frames, utt_pad_proportion=0.07048, over 42948.46 utterances.], batch size: 50, lr: 3.37e-04
+2022-09-18 04:12:42,902 INFO [train.py:885] (0/2) Epoch 14, batch 2300, loss[loss=0.1915, simple_loss=0.2646, pruned_loss=0.05919, over 12414.00 frames. utt_duration=2071 frames, utt_pad_proportion=0.1368, over 24.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3598, pruned_loss=0.115, over 2783157.48 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06931, over 44250.08 utterances.], batch size: 24, lr: 3.37e-04
+2022-09-18 04:13:12,901 INFO [train.py:885] (0/2) Epoch 14, batch 2350, loss[loss=0.4193, simple_loss=0.4491, pruned_loss=0.1947, over 14265.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04073, over 180.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3594, pruned_loss=0.1147, over 2784010.47 frames. utt_duration=256.3 frames, utt_pad_proportion=0.0681, over 43699.15 utterances.], batch size: 180, lr: 3.37e-04
+2022-09-18 04:13:42,117 INFO [train.py:885] (0/2) Epoch 14, batch 2400, loss[loss=0.1813, simple_loss=0.2464, pruned_loss=0.05814, over 13438.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09453, over 50.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3562, pruned_loss=0.1133, over 2786080.64 frames. utt_duration=265.4 frames, utt_pad_proportion=0.06719, over 42221.91 utterances.], batch size: 50, lr: 3.37e-04
+2022-09-18 04:14:11,726 INFO [train.py:885] (0/2) Epoch 14, batch 2450, loss[loss=0.1987, simple_loss=0.2564, pruned_loss=0.07044, over 13923.00 frames. utt_duration=929.5 frames, utt_pad_proportion=0.06018, over 60.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3564, pruned_loss=0.1131, over 2789349.87 frames. utt_duration=265.4 frames, utt_pad_proportion=0.06626, over 42267.31 utterances.], batch size: 60, lr: 3.36e-04
+2022-09-18 04:14:41,454 INFO [train.py:885] (0/2) Epoch 14, batch 2500, loss[loss=0.2376, simple_loss=0.3082, pruned_loss=0.08355, over 14225.00 frames. utt_duration=640.7 frames, utt_pad_proportion=0.0437, over 89.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3601, pruned_loss=0.1156, over 2789594.27 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06638, over 42853.70 utterances.], batch size: 89, lr: 3.36e-04
+2022-09-18 04:15:11,379 INFO [train.py:885] (0/2) Epoch 14, batch 2550, loss[loss=0.3394, simple_loss=0.3902, pruned_loss=0.1443, over 14303.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03832, over 180.00 utterances.], tot_loss[loss=0.295, simple_loss=0.359, pruned_loss=0.1155, over 2792477.80 frames. utt_duration=267.4 frames, utt_pad_proportion=0.06424, over 42002.46 utterances.], batch size: 180, lr: 3.36e-04
+2022-09-18 04:15:41,381 INFO [train.py:885] (0/2) Epoch 14, batch 2600, loss[loss=0.2783, simple_loss=0.3576, pruned_loss=0.09946, over 14317.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04, over 154.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.359, pruned_loss=0.1152, over 2793252.40 frames. utt_duration=264.1 frames, utt_pad_proportion=0.06395, over 42548.33 utterances.], batch size: 154, lr: 3.36e-04
+2022-09-18 04:16:11,456 INFO [train.py:885] (0/2) Epoch 14, batch 2650, loss[loss=0.2235, simple_loss=0.2739, pruned_loss=0.08653, over 13004.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.119, over 33.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3619, pruned_loss=0.1167, over 2788032.87 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06628, over 44449.72 utterances.], batch size: 33, lr: 3.36e-04
+2022-09-18 04:16:40,631 INFO [train.py:885] (0/2) Epoch 14, batch 2700, loss[loss=0.408, simple_loss=0.4373, pruned_loss=0.1894, over 14331.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03742, over 195.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3589, pruned_loss=0.1154, over 2788650.78 frames. utt_duration=258.5 frames, utt_pad_proportion=0.0661, over 43401.27 utterances.], batch size: 195, lr: 3.36e-04
+2022-09-18 04:17:10,216 INFO [train.py:885] (0/2) Epoch 14, batch 2750, loss[loss=0.1932, simple_loss=0.2596, pruned_loss=0.06339, over 14071.00 frames. utt_duration=714 frames, utt_pad_proportion=0.05557, over 79.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3592, pruned_loss=0.1152, over 2787980.65 frames. utt_duration=254 frames, utt_pad_proportion=0.06783, over 44165.52 utterances.], batch size: 79, lr: 3.36e-04
+2022-09-18 04:17:39,535 INFO [train.py:885] (0/2) Epoch 14, batch 2800, loss[loss=0.5922, simple_loss=0.6485, pruned_loss=0.2679, over 12502.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.145, over 810.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3616, pruned_loss=0.1167, over 2782092.20 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07152, over 45013.29 utterances.], batch size: 810, lr: 3.36e-04
+2022-09-18 04:18:15,860 INFO [train.py:885] (0/2) Epoch 14, batch 2850, loss[loss=0.3116, simple_loss=0.3717, pruned_loss=0.1257, over 14358.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03853, over 167.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.3666, pruned_loss=0.1192, over 2780327.43 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07341, over 47330.95 utterances.], batch size: 167, lr: 3.36e-04
+2022-09-18 04:18:45,233 INFO [train.py:885] (0/2) Epoch 14, batch 2900, loss[loss=0.1965, simple_loss=0.2672, pruned_loss=0.06292, over 14083.00 frames. utt_duration=806.4 frames, utt_pad_proportion=0.05906, over 70.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3654, pruned_loss=0.1189, over 2777066.60 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07431, over 47091.17 utterances.], batch size: 70, lr: 3.36e-04
+2022-09-18 04:19:15,077 INFO [train.py:885] (0/2) Epoch 14, batch 2950, loss[loss=0.4172, simple_loss=0.4781, pruned_loss=0.1782, over 13749.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07326, over 411.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3633, pruned_loss=0.1176, over 2782431.83 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07052, over 45296.77 utterances.], batch size: 411, lr: 3.36e-04
+2022-09-18 04:19:44,557 INFO [train.py:885] (0/2) Epoch 14, batch 3000, loss[loss=0.5107, simple_loss=0.5978, pruned_loss=0.2118, over 12463.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1469, over 810.00 utterances.], tot_loss[loss=0.301, simple_loss=0.365, pruned_loss=0.1186, over 2783256.82 frames. utt_duration=243 frames, utt_pad_proportion=0.07248, over 46103.14 utterances.], batch size: 810, lr: 3.36e-04
+2022-09-18 04:19:44,558 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 04:19:49,227 INFO [train.py:914] (0/2) Epoch 14, validation: loss=0.2017, simple_loss=0.2828, pruned_loss=0.06032, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 04:20:18,178 INFO [train.py:885] (0/2) Epoch 14, batch 3050, loss[loss=0.4098, simple_loss=0.4882, pruned_loss=0.1657, over 13169.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3644, pruned_loss=0.1178, over 2782340.48 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07094, over 46497.57 utterances.], batch size: 653, lr: 3.36e-04
+2022-09-18 04:20:47,306 INFO [train.py:885] (0/2) Epoch 14, batch 3100, loss[loss=0.2184, simple_loss=0.2694, pruned_loss=0.08372, over 13860.00 frames. utt_duration=925.1 frames, utt_pad_proportion=0.07117, over 60.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3628, pruned_loss=0.1172, over 2778738.14 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07219, over 46466.74 utterances.], batch size: 60, lr: 3.36e-04
+2022-09-18 04:21:17,283 INFO [train.py:885] (0/2) Epoch 14, batch 3150, loss[loss=0.2572, simple_loss=0.3427, pruned_loss=0.08584, over 14347.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.03796, over 154.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3613, pruned_loss=0.1168, over 2775951.63 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07289, over 46023.68 utterances.], batch size: 154, lr: 3.36e-04
+2022-09-18 04:21:45,893 INFO [train.py:885] (0/2) Epoch 14, batch 3200, loss[loss=0.3329, simple_loss=0.3924, pruned_loss=0.1368, over 14340.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03673, over 195.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3585, pruned_loss=0.1151, over 2778066.79 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07135, over 45130.92 utterances.], batch size: 195, lr: 3.36e-04
+2022-09-18 04:22:15,680 INFO [train.py:885] (0/2) Epoch 14, batch 3250, loss[loss=0.1721, simple_loss=0.242, pruned_loss=0.05107, over 13674.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07877, over 50.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3601, pruned_loss=0.1148, over 2778340.69 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07184, over 46454.85 utterances.], batch size: 50, lr: 3.36e-04
+2022-09-18 04:22:45,196 INFO [train.py:885] (0/2) Epoch 14, batch 3300, loss[loss=0.5718, simple_loss=0.6351, pruned_loss=0.2542, over 12541.00 frames. utt_duration=63.52 frames, utt_pad_proportion=0.1416, over 810.00 utterances.], tot_loss[loss=0.296, simple_loss=0.3612, pruned_loss=0.1155, over 2774539.92 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07392, over 46972.76 utterances.], batch size: 810, lr: 3.36e-04
+2022-09-18 04:23:14,940 INFO [train.py:885] (0/2) Epoch 14, batch 3350, loss[loss=0.3525, simple_loss=0.4369, pruned_loss=0.1341, over 13664.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08106, over 478.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3614, pruned_loss=0.1148, over 2779913.48 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07198, over 47187.54 utterances.], batch size: 478, lr: 3.36e-04
+2022-09-18 04:23:44,694 INFO [train.py:885] (0/2) Epoch 14, batch 3400, loss[loss=0.2709, simple_loss=0.3477, pruned_loss=0.09702, over 14334.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03933, over 167.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3598, pruned_loss=0.1132, over 2781272.71 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07164, over 46273.28 utterances.], batch size: 167, lr: 3.35e-04
+2022-09-18 04:24:13,786 INFO [train.py:885] (0/2) Epoch 14, batch 3450, loss[loss=0.3125, simple_loss=0.3985, pruned_loss=0.1133, over 13935.00 frames. utt_duration=154.1 frames, utt_pad_proportion=0.06017, over 365.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3602, pruned_loss=0.1137, over 2783894.98 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07102, over 46348.28 utterances.], batch size: 365, lr: 3.35e-04
+2022-09-18 04:24:43,698 INFO [train.py:885] (0/2) Epoch 14, batch 3500, loss[loss=0.337, simple_loss=0.3906, pruned_loss=0.1417, over 14323.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03794, over 283.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3639, pruned_loss=0.1165, over 2786962.34 frames. utt_duration=239.4 frames, utt_pad_proportion=0.06985, over 46848.23 utterances.], batch size: 283, lr: 3.35e-04
+2022-09-18 04:25:13,329 INFO [train.py:885] (0/2) Epoch 14, batch 3550, loss[loss=0.2518, simple_loss=0.3316, pruned_loss=0.08603, over 14301.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.04249, over 141.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3674, pruned_loss=0.1189, over 2789596.06 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07074, over 47555.47 utterances.], batch size: 141, lr: 3.35e-04
+2022-09-18 04:25:42,815 INFO [train.py:885] (0/2) Epoch 14, batch 3600, loss[loss=0.3134, simple_loss=0.3776, pruned_loss=0.1246, over 14396.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.03066, over 244.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3681, pruned_loss=0.119, over 2784822.08 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07311, over 48356.55 utterances.], batch size: 244, lr: 3.35e-04
+2022-09-18 04:26:12,601 INFO [train.py:885] (0/2) Epoch 14, batch 3650, loss[loss=0.4184, simple_loss=0.5011, pruned_loss=0.1679, over 13157.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3685, pruned_loss=0.1188, over 2781097.25 frames. utt_duration=228.9 frames, utt_pad_proportion=0.0746, over 48906.90 utterances.], batch size: 653, lr: 3.35e-04
+2022-09-18 04:26:41,617 INFO [train.py:885] (0/2) Epoch 14, batch 3700, loss[loss=0.3476, simple_loss=0.4376, pruned_loss=0.1288, over 13590.00 frames. utt_duration=98.22 frames, utt_pad_proportion=0.08203, over 561.00 utterances.], tot_loss[loss=0.3004, simple_loss=0.3656, pruned_loss=0.1176, over 2784850.17 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07233, over 47629.97 utterances.], batch size: 561, lr: 3.35e-04
+2022-09-18 04:27:11,344 INFO [train.py:885] (0/2) Epoch 14, batch 3750, loss[loss=0.2429, simple_loss=0.3012, pruned_loss=0.09229, over 13828.00 frames. utt_duration=923.5 frames, utt_pad_proportion=0.07189, over 60.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.361, pruned_loss=0.1159, over 2783812.75 frames. utt_duration=249 frames, utt_pad_proportion=0.07027, over 44988.05 utterances.], batch size: 60, lr: 3.35e-04
+2022-09-18 04:27:41,236 INFO [train.py:885] (0/2) Epoch 14, batch 3800, loss[loss=0.3352, simple_loss=0.4161, pruned_loss=0.1272, over 13780.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07086, over 411.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3623, pruned_loss=0.1174, over 2783729.74 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07027, over 44959.46 utterances.], batch size: 411, lr: 3.35e-04
+2022-09-18 04:28:10,830 INFO [train.py:885] (0/2) Epoch 14, batch 3850, loss[loss=0.1859, simple_loss=0.2587, pruned_loss=0.05654, over 12652.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.1412, over 25.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3669, pruned_loss=0.1198, over 2783557.85 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0698, over 46395.16 utterances.], batch size: 25, lr: 3.35e-04
+2022-09-18 04:28:40,203 INFO [train.py:885] (0/2) Epoch 14, batch 3900, loss[loss=0.1994, simple_loss=0.2712, pruned_loss=0.06376, over 13759.00 frames. utt_duration=1102 frames, utt_pad_proportion=0.07373, over 50.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.365, pruned_loss=0.1183, over 2780692.94 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07172, over 46576.66 utterances.], batch size: 50, lr: 3.35e-04
+2022-09-18 04:29:04,978 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-168000.pt
+2022-09-18 04:29:10,795 INFO [train.py:885] (0/2) Epoch 14, batch 3950, loss[loss=0.2152, simple_loss=0.2849, pruned_loss=0.07274, over 13994.00 frames. utt_duration=710.1 frames, utt_pad_proportion=0.0607, over 79.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3677, pruned_loss=0.1192, over 2778102.44 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07249, over 48426.43 utterances.], batch size: 79, lr: 3.35e-04
+2022-09-18 04:29:40,181 INFO [train.py:885] (0/2) Epoch 14, batch 4000, loss[loss=0.3733, simple_loss=0.4163, pruned_loss=0.1651, over 14332.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03903, over 244.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.3662, pruned_loss=0.1182, over 2781868.71 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07091, over 47746.96 utterances.], batch size: 244, lr: 3.35e-04
+2022-09-18 04:30:10,160 INFO [train.py:885] (0/2) Epoch 14, batch 4050, loss[loss=0.3006, simple_loss=0.3709, pruned_loss=0.1152, over 14340.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03652, over 195.00 utterances.], tot_loss[loss=0.3028, simple_loss=0.3671, pruned_loss=0.1192, over 2782474.69 frames. utt_duration=235 frames, utt_pad_proportion=0.07176, over 47665.61 utterances.], batch size: 195, lr: 3.35e-04
+2022-09-18 04:30:39,933 INFO [train.py:885] (0/2) Epoch 14, batch 4100, loss[loss=0.2378, simple_loss=0.3038, pruned_loss=0.08584, over 14188.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04362, over 109.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3655, pruned_loss=0.1184, over 2780624.62 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07244, over 46968.48 utterances.], batch size: 109, lr: 3.35e-04
+2022-09-18 04:31:08,950 INFO [train.py:885] (0/2) Epoch 14, batch 4150, loss[loss=0.5244, simple_loss=0.6001, pruned_loss=0.2243, over 12397.00 frames. utt_duration=62.76 frames, utt_pad_proportion=0.1519, over 810.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.3647, pruned_loss=0.1186, over 2785214.55 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06963, over 45553.09 utterances.], batch size: 810, lr: 3.35e-04
+2022-09-18 04:31:38,498 INFO [train.py:885] (0/2) Epoch 14, batch 4200, loss[loss=0.1779, simple_loss=0.2502, pruned_loss=0.05279, over 13831.00 frames. utt_duration=923.9 frames, utt_pad_proportion=0.06867, over 60.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3665, pruned_loss=0.1195, over 2789310.36 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06929, over 45683.34 utterances.], batch size: 60, lr: 3.35e-04
+2022-09-18 04:32:07,773 INFO [train.py:885] (0/2) Epoch 14, batch 4250, loss[loss=0.5672, simple_loss=0.6315, pruned_loss=0.2514, over 12493.00 frames. utt_duration=63.24 frames, utt_pad_proportion=0.1454, over 810.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3661, pruned_loss=0.1193, over 2786860.34 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07031, over 46194.00 utterances.], batch size: 810, lr: 3.35e-04
+2022-09-18 04:32:37,643 INFO [train.py:885] (0/2) Epoch 14, batch 4300, loss[loss=0.46, simple_loss=0.474, pruned_loss=0.223, over 14189.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04575, over 306.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3644, pruned_loss=0.1181, over 2786101.79 frames. utt_duration=246.4 frames, utt_pad_proportion=0.0687, over 45495.79 utterances.], batch size: 306, lr: 3.35e-04
+2022-09-18 04:33:07,290 INFO [train.py:885] (0/2) Epoch 14, batch 4350, loss[loss=0.317, simple_loss=0.3878, pruned_loss=0.1231, over 14308.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03965, over 262.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3622, pruned_loss=0.1175, over 2787987.81 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06789, over 44479.10 utterances.], batch size: 262, lr: 3.35e-04
+2022-09-18 04:33:36,847 INFO [train.py:885] (0/2) Epoch 14, batch 4400, loss[loss=0.2363, simple_loss=0.3097, pruned_loss=0.08146, over 14106.00 frames. utt_duration=577.1 frames, utt_pad_proportion=0.05388, over 98.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3617, pruned_loss=0.116, over 2781307.78 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07046, over 44964.25 utterances.], batch size: 98, lr: 3.35e-04
+2022-09-18 04:34:06,390 INFO [train.py:885] (0/2) Epoch 14, batch 4450, loss[loss=0.2787, simple_loss=0.3473, pruned_loss=0.1051, over 14348.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03885, over 167.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3659, pruned_loss=0.1179, over 2786068.53 frames. utt_duration=242 frames, utt_pad_proportion=0.06803, over 46329.45 utterances.], batch size: 167, lr: 3.34e-04
+2022-09-18 04:34:35,964 INFO [train.py:885] (0/2) Epoch 14, batch 4500, loss[loss=0.301, simple_loss=0.3969, pruned_loss=0.1025, over 13631.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08118, over 477.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3606, pruned_loss=0.1149, over 2782388.93 frames. utt_duration=251 frames, utt_pad_proportion=0.06858, over 44596.96 utterances.], batch size: 477, lr: 3.34e-04
+2022-09-18 04:35:05,909 INFO [train.py:885] (0/2) Epoch 14, batch 4550, loss[loss=0.2162, simple_loss=0.2762, pruned_loss=0.07806, over 14023.00 frames. utt_duration=573.7 frames, utt_pad_proportion=0.05791, over 98.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3602, pruned_loss=0.1151, over 2784111.15 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06789, over 44266.57 utterances.], batch size: 98, lr: 3.34e-04
+2022-09-18 04:35:35,359 INFO [train.py:885] (0/2) Epoch 14, batch 4600, loss[loss=0.2113, simple_loss=0.2775, pruned_loss=0.07251, over 13771.00 frames. utt_duration=919.5 frames, utt_pad_proportion=0.07677, over 60.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3582, pruned_loss=0.1146, over 2783222.65 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06873, over 43029.78 utterances.], batch size: 60, lr: 3.34e-04
+2022-09-18 04:36:05,744 INFO [train.py:885] (0/2) Epoch 14, batch 4650, loss[loss=0.335, simple_loss=0.3919, pruned_loss=0.139, over 14332.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03798, over 210.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3605, pruned_loss=0.1153, over 2782870.79 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06986, over 44638.56 utterances.], batch size: 210, lr: 3.34e-04
+2022-09-18 04:36:35,026 INFO [train.py:885] (0/2) Epoch 14, batch 4700, loss[loss=0.267, simple_loss=0.3335, pruned_loss=0.1002, over 14272.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04241, over 130.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3598, pruned_loss=0.1152, over 2784287.14 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07004, over 44403.93 utterances.], batch size: 130, lr: 3.34e-04
+2022-09-18 04:37:05,129 INFO [train.py:885] (0/2) Epoch 14, batch 4750, loss[loss=0.4504, simple_loss=0.5186, pruned_loss=0.1911, over 13181.00 frames. utt_duration=82.29 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3635, pruned_loss=0.1174, over 2784266.88 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07061, over 45455.22 utterances.], batch size: 653, lr: 3.34e-04
+2022-09-18 04:37:34,453 INFO [train.py:885] (0/2) Epoch 14, batch 4800, loss[loss=0.3249, simple_loss=0.3859, pruned_loss=0.1319, over 14366.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03516, over 195.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3621, pruned_loss=0.1159, over 2786084.94 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06948, over 45196.44 utterances.], batch size: 195, lr: 3.34e-04
+2022-09-18 04:38:04,323 INFO [train.py:885] (0/2) Epoch 14, batch 4850, loss[loss=0.4007, simple_loss=0.4374, pruned_loss=0.182, over 14213.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04441, over 335.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3647, pruned_loss=0.117, over 2788836.27 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06894, over 46343.96 utterances.], batch size: 335, lr: 3.34e-04
+2022-09-18 04:38:34,813 INFO [train.py:885] (0/2) Epoch 14, batch 4900, loss[loss=0.2303, simple_loss=0.2986, pruned_loss=0.08104, over 14206.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04271, over 109.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3657, pruned_loss=0.1171, over 2791274.85 frames. utt_duration=240.3 frames, utt_pad_proportion=0.06729, over 46751.05 utterances.], batch size: 109, lr: 3.34e-04
+2022-09-18 04:39:04,326 INFO [train.py:885] (0/2) Epoch 14, batch 4950, loss[loss=0.3161, simple_loss=0.3794, pruned_loss=0.1264, over 14326.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03802, over 283.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3636, pruned_loss=0.1166, over 2781621.83 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07004, over 45806.90 utterances.], batch size: 283, lr: 3.34e-04
+2022-09-18 04:39:33,298 INFO [train.py:885] (0/2) Epoch 14, batch 5000, loss[loss=0.1903, simple_loss=0.2631, pruned_loss=0.05873, over 13365.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08768, over 41.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3589, pruned_loss=0.1143, over 2780301.50 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06916, over 44199.26 utterances.], batch size: 41, lr: 3.34e-04
+2022-09-18 04:40:03,176 INFO [train.py:885] (0/2) Epoch 14, batch 5050, loss[loss=0.2454, simple_loss=0.3248, pruned_loss=0.08303, over 14204.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04856, over 141.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3626, pruned_loss=0.1153, over 2778524.82 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07288, over 46372.98 utterances.], batch size: 141, lr: 3.34e-04
+2022-09-18 04:40:32,420 INFO [train.py:885] (0/2) Epoch 14, batch 5100, loss[loss=0.2571, simple_loss=0.3142, pruned_loss=0.1, over 13871.00 frames. utt_duration=925.9 frames, utt_pad_proportion=0.0666, over 60.00 utterances.], tot_loss[loss=0.296, simple_loss=0.3615, pruned_loss=0.1153, over 2776856.14 frames. utt_duration=243.5 frames, utt_pad_proportion=0.0738, over 45893.94 utterances.], batch size: 60, lr: 3.34e-04
+2022-09-18 04:41:01,885 INFO [train.py:885] (0/2) Epoch 14, batch 5150, loss[loss=0.3019, simple_loss=0.3724, pruned_loss=0.1157, over 14217.00 frames. utt_duration=254.3 frames, utt_pad_proportion=0.04394, over 225.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3625, pruned_loss=0.1163, over 2777572.06 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07458, over 46151.06 utterances.], batch size: 225, lr: 3.34e-04
+2022-09-18 04:41:31,986 INFO [train.py:885] (0/2) Epoch 14, batch 5200, loss[loss=0.2541, simple_loss=0.3301, pruned_loss=0.08908, over 14307.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03796, over 130.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3601, pruned_loss=0.1145, over 2775369.14 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07354, over 45621.02 utterances.], batch size: 130, lr: 3.34e-04
+2022-09-18 04:42:01,220 INFO [train.py:885] (0/2) Epoch 14, batch 5250, loss[loss=0.2297, simple_loss=0.31, pruned_loss=0.07468, over 14275.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.0414, over 120.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3615, pruned_loss=0.116, over 2774628.14 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07367, over 46125.90 utterances.], batch size: 120, lr: 3.34e-04
+2022-09-18 04:42:30,881 INFO [train.py:885] (0/2) Epoch 14, batch 5300, loss[loss=0.2125, simple_loss=0.2793, pruned_loss=0.07288, over 13044.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1219, over 33.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3605, pruned_loss=0.1156, over 2776555.46 frames. utt_duration=244.2 frames, utt_pad_proportion=0.0729, over 45755.86 utterances.], batch size: 33, lr: 3.34e-04
+2022-09-18 04:42:59,856 INFO [train.py:885] (0/2) Epoch 14, batch 5350, loss[loss=0.2416, simple_loss=0.3121, pruned_loss=0.08553, over 14064.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05474, over 98.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3612, pruned_loss=0.1151, over 2782460.21 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07293, over 45676.55 utterances.], batch size: 98, lr: 3.34e-04
+2022-09-18 04:43:29,564 INFO [train.py:885] (0/2) Epoch 14, batch 5400, loss[loss=0.178, simple_loss=0.248, pruned_loss=0.05403, over 13352.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08734, over 41.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3565, pruned_loss=0.1122, over 2781291.65 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07087, over 44301.30 utterances.], batch size: 41, lr: 3.34e-04
+2022-09-18 04:43:59,527 INFO [train.py:885] (0/2) Epoch 14, batch 5450, loss[loss=0.2731, simple_loss=0.3461, pruned_loss=0.1, over 14288.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.04155, over 154.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3534, pruned_loss=0.1106, over 2778904.73 frames. utt_duration=260.7 frames, utt_pad_proportion=0.07167, over 42876.13 utterances.], batch size: 154, lr: 3.33e-04
+2022-09-18 04:44:28,940 INFO [train.py:885] (0/2) Epoch 14, batch 5500, loss[loss=0.2023, simple_loss=0.2546, pruned_loss=0.07503, over 13098.00 frames. utt_duration=1589 frames, utt_pad_proportion=0.1048, over 33.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.353, pruned_loss=0.1103, over 2777947.45 frames. utt_duration=260.5 frames, utt_pad_proportion=0.07168, over 42896.96 utterances.], batch size: 33, lr: 3.33e-04
+2022-09-18 04:44:59,071 INFO [train.py:885] (0/2) Epoch 14, batch 5550, loss[loss=0.1864, simple_loss=0.2399, pruned_loss=0.06638, over 13670.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07881, over 50.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3565, pruned_loss=0.1122, over 2781250.20 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06982, over 44032.09 utterances.], batch size: 50, lr: 3.33e-04
+2022-09-18 04:45:29,833 INFO [train.py:885] (0/2) Epoch 14, batch 5600, loss[loss=0.3359, simple_loss=0.4305, pruned_loss=0.1206, over 13610.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07775, over 560.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3625, pruned_loss=0.1153, over 2779330.11 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07158, over 46541.63 utterances.], batch size: 560, lr: 3.33e-04
+2022-09-18 04:46:00,279 INFO [train.py:885] (0/2) Epoch 14, batch 5650, loss[loss=0.5333, simple_loss=0.5795, pruned_loss=0.2435, over 13154.00 frames. utt_duration=82.12 frames, utt_pad_proportion=0.1073, over 653.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3641, pruned_loss=0.1157, over 2781104.68 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07231, over 47257.22 utterances.], batch size: 653, lr: 3.33e-04
+2022-09-18 04:46:29,865 INFO [train.py:885] (0/2) Epoch 14, batch 5700, loss[loss=0.4706, simple_loss=0.5287, pruned_loss=0.2062, over 13609.00 frames. utt_duration=98.63 frames, utt_pad_proportion=0.07824, over 560.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3649, pruned_loss=0.1165, over 2781363.41 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07153, over 47690.99 utterances.], batch size: 560, lr: 3.33e-04
+2022-09-18 04:46:59,770 INFO [train.py:885] (0/2) Epoch 14, batch 5750, loss[loss=0.3668, simple_loss=0.4126, pruned_loss=0.1605, over 14364.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03295, over 244.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3644, pruned_loss=0.1167, over 2779024.52 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07395, over 47128.57 utterances.], batch size: 244, lr: 3.33e-04
+2022-09-18 04:47:29,431 INFO [train.py:885] (0/2) Epoch 14, batch 5800, loss[loss=0.3386, simple_loss=0.4108, pruned_loss=0.1331, over 13973.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05757, over 365.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3636, pruned_loss=0.1163, over 2782854.65 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07286, over 46424.35 utterances.], batch size: 365, lr: 3.33e-04
+2022-09-18 04:47:58,662 INFO [train.py:885] (0/2) Epoch 14, batch 5850, loss[loss=0.3489, simple_loss=0.4314, pruned_loss=0.1332, over 13637.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.0753, over 478.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.36, pruned_loss=0.1144, over 2783527.13 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07126, over 45027.25 utterances.], batch size: 478, lr: 3.33e-04
+2022-09-18 04:48:28,678 INFO [train.py:885] (0/2) Epoch 14, batch 5900, loss[loss=0.4163, simple_loss=0.4459, pruned_loss=0.1933, over 14210.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04355, over 306.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.359, pruned_loss=0.1137, over 2783884.52 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07033, over 44873.14 utterances.], batch size: 306, lr: 3.33e-04
+2022-09-18 04:48:57,797 INFO [train.py:885] (0/2) Epoch 14, batch 5950, loss[loss=0.36, simple_loss=0.4128, pruned_loss=0.1536, over 14210.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0444, over 306.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3571, pruned_loss=0.1133, over 2786921.81 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06887, over 43717.59 utterances.], batch size: 306, lr: 3.33e-04
+2022-09-18 04:49:27,554 INFO [train.py:885] (0/2) Epoch 14, batch 6000, loss[loss=0.2725, simple_loss=0.3419, pruned_loss=0.1016, over 14294.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03899, over 180.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3556, pruned_loss=0.1133, over 2789419.99 frames. utt_duration=263 frames, utt_pad_proportion=0.06757, over 42668.95 utterances.], batch size: 180, lr: 3.33e-04
+2022-09-18 04:49:27,556 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 04:49:32,264 INFO [train.py:914] (0/2) Epoch 14, validation: loss=0.2032, simple_loss=0.2805, pruned_loss=0.06293, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 04:50:02,277 INFO [train.py:885] (0/2) Epoch 14, batch 6050, loss[loss=0.303, simple_loss=0.37, pruned_loss=0.1181, over 14376.00 frames. utt_duration=220.9 frames, utt_pad_proportion=0.03545, over 262.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3603, pruned_loss=0.1147, over 2783778.25 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07273, over 45657.92 utterances.], batch size: 262, lr: 3.33e-04
+2022-09-18 04:50:31,864 INFO [train.py:885] (0/2) Epoch 14, batch 6100, loss[loss=0.3026, simple_loss=0.4018, pruned_loss=0.1018, over 13674.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07803, over 477.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3613, pruned_loss=0.1155, over 2783275.21 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07145, over 45847.66 utterances.], batch size: 477, lr: 3.33e-04
+2022-09-18 04:51:01,900 INFO [train.py:885] (0/2) Epoch 14, batch 6150, loss[loss=0.63, simple_loss=0.6668, pruned_loss=0.2966, over 12489.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1455, over 810.00 utterances.], tot_loss[loss=0.296, simple_loss=0.3615, pruned_loss=0.1153, over 2780243.65 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07227, over 46214.08 utterances.], batch size: 810, lr: 3.33e-04
+2022-09-18 04:51:30,608 INFO [train.py:885] (0/2) Epoch 14, batch 6200, loss[loss=0.1827, simple_loss=0.2647, pruned_loss=0.05037, over 12801.00 frames. utt_duration=1553 frames, utt_pad_proportion=0.1268, over 33.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3572, pruned_loss=0.1126, over 2780549.73 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07185, over 44151.39 utterances.], batch size: 33, lr: 3.33e-04
+2022-09-18 04:52:00,639 INFO [train.py:885] (0/2) Epoch 14, batch 6250, loss[loss=0.2506, simple_loss=0.2988, pruned_loss=0.1012, over 13928.00 frames. utt_duration=809 frames, utt_pad_proportion=0.05821, over 69.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3601, pruned_loss=0.1142, over 2784710.31 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07113, over 45024.97 utterances.], batch size: 69, lr: 3.33e-04
+2022-09-18 04:52:29,562 INFO [train.py:885] (0/2) Epoch 14, batch 6300, loss[loss=0.2946, simple_loss=0.3622, pruned_loss=0.1134, over 14357.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03542, over 210.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3631, pruned_loss=0.1156, over 2787044.59 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07122, over 46042.46 utterances.], batch size: 210, lr: 3.33e-04
+2022-09-18 04:52:59,689 INFO [train.py:885] (0/2) Epoch 14, batch 6350, loss[loss=0.2076, simple_loss=0.2741, pruned_loss=0.07053, over 14097.00 frames. utt_duration=806.9 frames, utt_pad_proportion=0.05519, over 70.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3591, pruned_loss=0.1148, over 2785622.84 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06933, over 44007.32 utterances.], batch size: 70, lr: 3.33e-04
+2022-09-18 04:53:29,462 INFO [train.py:885] (0/2) Epoch 14, batch 6400, loss[loss=0.1807, simple_loss=0.2462, pruned_loss=0.05759, over 13803.00 frames. utt_duration=921.7 frames, utt_pad_proportion=0.06801, over 60.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3622, pruned_loss=0.1162, over 2783133.07 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07045, over 45475.60 utterances.], batch size: 60, lr: 3.33e-04
+2022-09-18 04:53:58,842 INFO [train.py:885] (0/2) Epoch 14, batch 6450, loss[loss=0.291, simple_loss=0.3616, pruned_loss=0.1102, over 14356.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03611, over 210.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3606, pruned_loss=0.1147, over 2785623.95 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06874, over 45179.39 utterances.], batch size: 210, lr: 3.32e-04
+2022-09-18 04:54:28,332 INFO [train.py:885] (0/2) Epoch 14, batch 6500, loss[loss=0.3593, simple_loss=0.4293, pruned_loss=0.1447, over 14002.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0559, over 365.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3581, pruned_loss=0.1134, over 2788016.32 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06771, over 44767.06 utterances.], batch size: 365, lr: 3.32e-04
+2022-09-18 04:54:58,744 INFO [train.py:885] (0/2) Epoch 14, batch 6550, loss[loss=0.278, simple_loss=0.3531, pruned_loss=0.1015, over 14377.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.0346, over 210.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.358, pruned_loss=0.114, over 2781486.73 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06903, over 44423.13 utterances.], batch size: 210, lr: 3.32e-04
+2022-09-18 04:55:28,239 INFO [train.py:885] (0/2) Epoch 14, batch 6600, loss[loss=0.2958, simple_loss=0.3667, pruned_loss=0.1125, over 14387.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03182, over 244.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3564, pruned_loss=0.1129, over 2780173.94 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06899, over 44181.76 utterances.], batch size: 244, lr: 3.32e-04
+2022-09-18 04:55:57,234 INFO [train.py:885] (0/2) Epoch 14, batch 6650, loss[loss=0.2604, simple_loss=0.3333, pruned_loss=0.09379, over 14242.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04599, over 141.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3559, pruned_loss=0.1128, over 2780453.05 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06828, over 43627.94 utterances.], batch size: 141, lr: 3.32e-04
+2022-09-18 04:56:27,059 INFO [train.py:885] (0/2) Epoch 14, batch 6700, loss[loss=0.2432, simple_loss=0.2932, pruned_loss=0.09661, over 14037.00 frames. utt_duration=712.1 frames, utt_pad_proportion=0.0568, over 79.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3566, pruned_loss=0.1135, over 2776492.46 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07029, over 44819.75 utterances.], batch size: 79, lr: 3.32e-04
+2022-09-18 04:56:56,413 INFO [train.py:885] (0/2) Epoch 14, batch 6750, loss[loss=0.3074, simple_loss=0.4074, pruned_loss=0.1037, over 13607.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08254, over 477.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3559, pruned_loss=0.1135, over 2775133.60 frames. utt_duration=252.6 frames, utt_pad_proportion=0.0711, over 44209.24 utterances.], batch size: 477, lr: 3.32e-04
+2022-09-18 04:57:25,356 INFO [train.py:885] (0/2) Epoch 14, batch 6800, loss[loss=0.2559, simple_loss=0.3364, pruned_loss=0.08764, over 14354.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03823, over 167.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3571, pruned_loss=0.114, over 2774228.67 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07176, over 44867.31 utterances.], batch size: 167, lr: 3.32e-04
+2022-09-18 04:57:55,193 INFO [train.py:885] (0/2) Epoch 14, batch 6850, loss[loss=0.2175, simple_loss=0.2912, pruned_loss=0.07193, over 13836.00 frames. utt_duration=803.6 frames, utt_pad_proportion=0.06453, over 69.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3568, pruned_loss=0.1131, over 2775692.31 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07023, over 44728.19 utterances.], batch size: 69, lr: 3.32e-04
+2022-09-18 04:58:24,672 INFO [train.py:885] (0/2) Epoch 14, batch 6900, loss[loss=0.2692, simple_loss=0.3504, pruned_loss=0.09405, over 14299.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03922, over 180.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3594, pruned_loss=0.1141, over 2776924.69 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07103, over 46272.07 utterances.], batch size: 180, lr: 3.32e-04
+2022-09-18 04:58:54,336 INFO [train.py:885] (0/2) Epoch 14, batch 6950, loss[loss=0.4054, simple_loss=0.4342, pruned_loss=0.1883, over 14267.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04432, over 141.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3572, pruned_loss=0.1132, over 2778269.38 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07062, over 44509.36 utterances.], batch size: 141, lr: 3.32e-04
+2022-09-18 04:59:23,693 INFO [train.py:885] (0/2) Epoch 14, batch 7000, loss[loss=0.226, simple_loss=0.3006, pruned_loss=0.07567, over 14137.00 frames. utt_duration=636.9 frames, utt_pad_proportion=0.0494, over 89.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3599, pruned_loss=0.1138, over 2773034.03 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07339, over 46634.91 utterances.], batch size: 89, lr: 3.32e-04
+2022-09-18 04:59:53,336 INFO [train.py:885] (0/2) Epoch 14, batch 7050, loss[loss=0.335, simple_loss=0.3952, pruned_loss=0.1374, over 14247.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04244, over 225.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3568, pruned_loss=0.1125, over 2772533.38 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07288, over 45700.86 utterances.], batch size: 225, lr: 3.32e-04
+2022-09-18 05:00:22,963 INFO [train.py:885] (0/2) Epoch 14, batch 7100, loss[loss=0.3948, simple_loss=0.4852, pruned_loss=0.1521, over 13189.00 frames. utt_duration=82.27 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.356, pruned_loss=0.1128, over 2767667.16 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07342, over 44826.07 utterances.], batch size: 653, lr: 3.32e-04
+2022-09-18 05:00:52,153 INFO [train.py:885] (0/2) Epoch 14, batch 7150, loss[loss=0.2269, simple_loss=0.3081, pruned_loss=0.07287, over 14140.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.0453, over 109.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3616, pruned_loss=0.1155, over 2772709.79 frames. utt_duration=240 frames, utt_pad_proportion=0.07493, over 46499.72 utterances.], batch size: 109, lr: 3.32e-04
+2022-09-18 05:01:21,850 INFO [train.py:885] (0/2) Epoch 14, batch 7200, loss[loss=0.2624, simple_loss=0.326, pruned_loss=0.09943, over 14200.00 frames. utt_duration=522.6 frames, utt_pad_proportion=0.04285, over 109.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3624, pruned_loss=0.1161, over 2774055.12 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07503, over 46967.07 utterances.], batch size: 109, lr: 3.32e-04
+2022-09-18 05:01:51,110 INFO [train.py:885] (0/2) Epoch 14, batch 7250, loss[loss=0.3302, simple_loss=0.4258, pruned_loss=0.1173, over 13597.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07926, over 560.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3603, pruned_loss=0.1155, over 2778311.25 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07282, over 45568.30 utterances.], batch size: 560, lr: 3.32e-04
+2022-09-18 05:02:20,838 INFO [train.py:885] (0/2) Epoch 14, batch 7300, loss[loss=0.2308, simple_loss=0.2977, pruned_loss=0.08192, over 14167.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.04583, over 89.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3614, pruned_loss=0.1161, over 2775273.53 frames. utt_duration=241.7 frames, utt_pad_proportion=0.0745, over 46217.24 utterances.], batch size: 89, lr: 3.32e-04
+2022-09-18 05:02:50,349 INFO [train.py:885] (0/2) Epoch 14, batch 7350, loss[loss=0.2795, simple_loss=0.3592, pruned_loss=0.09994, over 14337.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03389, over 210.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.358, pruned_loss=0.1145, over 2776353.26 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07427, over 45076.65 utterances.], batch size: 210, lr: 3.32e-04
+2022-09-18 05:03:19,720 INFO [train.py:885] (0/2) Epoch 14, batch 7400, loss[loss=0.2241, simple_loss=0.3011, pruned_loss=0.07351, over 14143.00 frames. utt_duration=637 frames, utt_pad_proportion=0.05205, over 89.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3599, pruned_loss=0.1148, over 2774443.71 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07469, over 46901.32 utterances.], batch size: 89, lr: 3.32e-04
+2022-09-18 05:03:49,237 INFO [train.py:885] (0/2) Epoch 14, batch 7450, loss[loss=0.2873, simple_loss=0.3527, pruned_loss=0.1109, over 14272.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04471, over 141.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3608, pruned_loss=0.115, over 2780694.28 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07262, over 46231.89 utterances.], batch size: 141, lr: 3.32e-04
+2022-09-18 05:04:18,596 INFO [train.py:885] (0/2) Epoch 14, batch 7500, loss[loss=0.2443, simple_loss=0.3116, pruned_loss=0.08847, over 14205.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.04861, over 141.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3644, pruned_loss=0.1176, over 2783249.89 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07207, over 46882.62 utterances.], batch size: 141, lr: 3.31e-04
+2022-09-18 05:04:48,335 INFO [train.py:885] (0/2) Epoch 14, batch 7550, loss[loss=0.1945, simple_loss=0.2619, pruned_loss=0.06355, over 13857.00 frames. utt_duration=804.8 frames, utt_pad_proportion=0.06201, over 69.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3628, pruned_loss=0.1165, over 2776487.38 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07412, over 46896.58 utterances.], batch size: 69, lr: 3.31e-04
+2022-09-18 05:05:17,574 INFO [train.py:885] (0/2) Epoch 14, batch 7600, loss[loss=0.3319, simple_loss=0.3889, pruned_loss=0.1374, over 14253.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04153, over 306.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.3655, pruned_loss=0.1178, over 2776779.04 frames. utt_duration=234.1 frames, utt_pad_proportion=0.0746, over 47739.98 utterances.], batch size: 306, lr: 3.31e-04
+2022-09-18 05:05:47,287 INFO [train.py:885] (0/2) Epoch 14, batch 7650, loss[loss=0.3101, simple_loss=0.3848, pruned_loss=0.1177, over 14374.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03458, over 195.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3657, pruned_loss=0.118, over 2780348.28 frames. utt_duration=235.7 frames, utt_pad_proportion=0.0726, over 47487.79 utterances.], batch size: 195, lr: 3.31e-04
+2022-09-18 05:06:17,778 INFO [train.py:885] (0/2) Epoch 14, batch 7700, loss[loss=0.3056, simple_loss=0.3687, pruned_loss=0.1212, over 14301.00 frames. utt_duration=294.9 frames, utt_pad_proportion=0.0362, over 195.00 utterances.], tot_loss[loss=0.3022, simple_loss=0.3665, pruned_loss=0.1189, over 2786570.29 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07106, over 47169.54 utterances.], batch size: 195, lr: 3.31e-04
+2022-09-18 05:06:47,380 INFO [train.py:885] (0/2) Epoch 14, batch 7750, loss[loss=0.171, simple_loss=0.2283, pruned_loss=0.05692, over 13204.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.105, over 33.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.366, pruned_loss=0.1188, over 2780494.32 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07278, over 47042.84 utterances.], batch size: 33, lr: 3.31e-04
+2022-09-18 05:07:17,044 INFO [train.py:885] (0/2) Epoch 14, batch 7800, loss[loss=0.2831, simple_loss=0.3369, pruned_loss=0.1146, over 14212.00 frames. utt_duration=640.2 frames, utt_pad_proportion=0.04583, over 89.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3624, pruned_loss=0.1164, over 2782555.44 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07136, over 45613.78 utterances.], batch size: 89, lr: 3.31e-04
+2022-09-18 05:07:45,781 INFO [train.py:885] (0/2) Epoch 14, batch 7850, loss[loss=0.1834, simple_loss=0.2598, pruned_loss=0.05357, over 14167.00 frames. utt_duration=638.1 frames, utt_pad_proportion=0.04908, over 89.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3589, pruned_loss=0.1139, over 2783850.76 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07105, over 44767.00 utterances.], batch size: 89, lr: 3.31e-04
+2022-09-18 05:08:15,349 INFO [train.py:885] (0/2) Epoch 14, batch 7900, loss[loss=0.3152, simple_loss=0.3836, pruned_loss=0.1234, over 14363.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.0379, over 167.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3588, pruned_loss=0.1139, over 2786074.48 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07105, over 44424.93 utterances.], batch size: 167, lr: 3.31e-04
+2022-09-18 05:08:39,627 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-172000.pt
+2022-09-18 05:08:45,742 INFO [train.py:885] (0/2) Epoch 14, batch 7950, loss[loss=0.4357, simple_loss=0.48, pruned_loss=0.1957, over 13960.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.058, over 365.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3604, pruned_loss=0.1146, over 2780755.22 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07408, over 45626.80 utterances.], batch size: 365, lr: 3.31e-04
+2022-09-18 05:09:15,817 INFO [train.py:885] (0/2) Epoch 14, batch 8000, loss[loss=0.2101, simple_loss=0.2754, pruned_loss=0.0724, over 14166.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.0489, over 89.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3618, pruned_loss=0.1146, over 2779242.63 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07439, over 46791.65 utterances.], batch size: 89, lr: 3.31e-04
+2022-09-18 05:09:44,930 INFO [train.py:885] (0/2) Epoch 14, batch 8050, loss[loss=0.2481, simple_loss=0.315, pruned_loss=0.09067, over 14058.00 frames. utt_duration=575.3 frames, utt_pad_proportion=0.05528, over 98.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3604, pruned_loss=0.1143, over 2782377.43 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07387, over 45564.68 utterances.], batch size: 98, lr: 3.31e-04
+2022-09-18 05:10:14,896 INFO [train.py:885] (0/2) Epoch 14, batch 8100, loss[loss=0.2526, simple_loss=0.322, pruned_loss=0.09163, over 14301.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04008, over 120.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3579, pruned_loss=0.1127, over 2783653.55 frames. utt_duration=250 frames, utt_pad_proportion=0.0723, over 44807.50 utterances.], batch size: 120, lr: 3.31e-04
+2022-09-18 05:10:44,268 INFO [train.py:885] (0/2) Epoch 14, batch 8150, loss[loss=0.3886, simple_loss=0.4602, pruned_loss=0.1585, over 13643.00 frames. utt_duration=98.82 frames, utt_pad_proportion=0.07647, over 560.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3625, pruned_loss=0.1152, over 2784250.96 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07324, over 47098.43 utterances.], batch size: 560, lr: 3.31e-04
+2022-09-18 05:11:13,969 INFO [train.py:885] (0/2) Epoch 14, batch 8200, loss[loss=0.3623, simple_loss=0.405, pruned_loss=0.1599, over 14382.00 frames. utt_duration=296.6 frames, utt_pad_proportion=0.03388, over 195.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3619, pruned_loss=0.1146, over 2787640.65 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07148, over 46701.19 utterances.], batch size: 195, lr: 3.31e-04
+2022-09-18 05:11:43,050 INFO [train.py:885] (0/2) Epoch 14, batch 8250, loss[loss=0.3385, simple_loss=0.3947, pruned_loss=0.1411, over 14294.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.0403, over 283.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.36, pruned_loss=0.1138, over 2788996.74 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07028, over 45275.27 utterances.], batch size: 283, lr: 3.31e-04
+2022-09-18 05:12:12,973 INFO [train.py:885] (0/2) Epoch 14, batch 8300, loss[loss=0.2141, simple_loss=0.2963, pruned_loss=0.06591, over 14208.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04767, over 89.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3625, pruned_loss=0.1165, over 2790477.15 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06899, over 45112.59 utterances.], batch size: 89, lr: 3.31e-04
+2022-09-18 05:12:42,707 INFO [train.py:885] (0/2) Epoch 14, batch 8350, loss[loss=0.327, simple_loss=0.385, pruned_loss=0.1345, over 14303.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04008, over 262.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3601, pruned_loss=0.1155, over 2789080.62 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06883, over 44231.42 utterances.], batch size: 262, lr: 3.31e-04
+2022-09-18 05:13:11,728 INFO [train.py:885] (0/2) Epoch 14, batch 8400, loss[loss=0.2921, simple_loss=0.3674, pruned_loss=0.1084, over 14320.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03696, over 180.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3598, pruned_loss=0.1149, over 2788578.87 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06991, over 44720.34 utterances.], batch size: 180, lr: 3.31e-04
+2022-09-18 05:13:49,782 INFO [train.py:885] (0/2) Epoch 14, batch 8450, loss[loss=0.3562, simple_loss=0.4494, pruned_loss=0.1316, over 13645.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07772, over 561.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3606, pruned_loss=0.1151, over 2788904.90 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07138, over 45154.89 utterances.], batch size: 561, lr: 3.31e-04
+2022-09-18 05:14:18,614 INFO [train.py:885] (0/2) Epoch 14, batch 8500, loss[loss=0.1884, simple_loss=0.2551, pruned_loss=0.06082, over 13617.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08336, over 50.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3624, pruned_loss=0.1157, over 2790305.59 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07044, over 45865.88 utterances.], batch size: 50, lr: 3.31e-04
+2022-09-18 05:14:48,175 INFO [train.py:885] (0/2) Epoch 14, batch 8550, loss[loss=0.3839, simple_loss=0.4243, pruned_loss=0.1718, over 14190.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04585, over 306.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3627, pruned_loss=0.1167, over 2784925.64 frames. utt_duration=245 frames, utt_pad_proportion=0.07162, over 45748.93 utterances.], batch size: 306, lr: 3.30e-04
+2022-09-18 05:15:17,326 INFO [train.py:885] (0/2) Epoch 14, batch 8600, loss[loss=0.4898, simple_loss=0.5492, pruned_loss=0.2152, over 13198.00 frames. utt_duration=82.41 frames, utt_pad_proportion=0.1043, over 653.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3588, pruned_loss=0.1147, over 2784241.68 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07047, over 44576.79 utterances.], batch size: 653, lr: 3.30e-04
+2022-09-18 05:15:47,809 INFO [train.py:885] (0/2) Epoch 14, batch 8650, loss[loss=0.338, simple_loss=0.4203, pruned_loss=0.1279, over 13801.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06933, over 411.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3608, pruned_loss=0.1152, over 2785357.22 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07075, over 45454.34 utterances.], batch size: 411, lr: 3.30e-04
+2022-09-18 05:16:17,064 INFO [train.py:885] (0/2) Epoch 14, batch 8700, loss[loss=0.2928, simple_loss=0.3696, pruned_loss=0.108, over 14329.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03728, over 210.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3629, pruned_loss=0.1155, over 2784284.43 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07145, over 46622.50 utterances.], batch size: 210, lr: 3.30e-04
+2022-09-18 05:16:47,421 INFO [train.py:885] (0/2) Epoch 14, batch 8750, loss[loss=0.307, simple_loss=0.3933, pruned_loss=0.1104, over 13986.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05603, over 365.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3638, pruned_loss=0.1151, over 2781876.60 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07299, over 47636.23 utterances.], batch size: 365, lr: 3.30e-04
+2022-09-18 05:17:16,671 INFO [train.py:885] (0/2) Epoch 14, batch 8800, loss[loss=0.2633, simple_loss=0.3382, pruned_loss=0.0942, over 14270.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04041, over 180.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3632, pruned_loss=0.1152, over 2786033.00 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07055, over 46945.21 utterances.], batch size: 180, lr: 3.30e-04
+2022-09-18 05:17:46,243 INFO [train.py:885] (0/2) Epoch 14, batch 8850, loss[loss=0.3469, simple_loss=0.4075, pruned_loss=0.1432, over 14332.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.0386, over 244.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3618, pruned_loss=0.1155, over 2786648.36 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06994, over 45826.36 utterances.], batch size: 244, lr: 3.30e-04
+2022-09-18 05:18:16,474 INFO [train.py:885] (0/2) Epoch 14, batch 8900, loss[loss=0.4846, simple_loss=0.5701, pruned_loss=0.1995, over 12486.00 frames. utt_duration=63.22 frames, utt_pad_proportion=0.1457, over 810.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3622, pruned_loss=0.1151, over 2778490.73 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07319, over 46636.26 utterances.], batch size: 810, lr: 3.30e-04
+2022-09-18 05:18:45,824 INFO [train.py:885] (0/2) Epoch 14, batch 8950, loss[loss=0.2905, simple_loss=0.3552, pruned_loss=0.1129, over 14226.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04733, over 141.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3618, pruned_loss=0.1145, over 2778605.20 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07245, over 46557.23 utterances.], batch size: 141, lr: 3.30e-04
+2022-09-18 05:19:15,692 INFO [train.py:885] (0/2) Epoch 14, batch 9000, loss[loss=0.4552, simple_loss=0.5241, pruned_loss=0.1931, over 13586.00 frames. utt_duration=98.44 frames, utt_pad_proportion=0.07999, over 560.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3603, pruned_loss=0.114, over 2775920.54 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07409, over 46030.75 utterances.], batch size: 560, lr: 3.30e-04
+2022-09-18 05:19:15,693 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 05:19:20,470 INFO [train.py:914] (0/2) Epoch 14, validation: loss=0.1996, simple_loss=0.2788, pruned_loss=0.06025, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 05:19:49,007 INFO [train.py:885] (0/2) Epoch 14, batch 9050, loss[loss=0.2319, simple_loss=0.2966, pruned_loss=0.08362, over 14132.00 frames. utt_duration=520 frames, utt_pad_proportion=0.04759, over 109.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3585, pruned_loss=0.113, over 2778336.86 frames. utt_duration=246 frames, utt_pad_proportion=0.07266, over 45444.55 utterances.], batch size: 109, lr: 3.30e-04
+2022-09-18 05:20:18,856 INFO [train.py:885] (0/2) Epoch 14, batch 9100, loss[loss=0.2701, simple_loss=0.3433, pruned_loss=0.09844, over 14388.00 frames. utt_duration=345.9 frames, utt_pad_proportion=0.03641, over 167.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.36, pruned_loss=0.1134, over 2778271.12 frames. utt_duration=243.6 frames, utt_pad_proportion=0.0717, over 45902.26 utterances.], batch size: 167, lr: 3.30e-04
+2022-09-18 05:20:49,003 INFO [train.py:885] (0/2) Epoch 14, batch 9150, loss[loss=0.2535, simple_loss=0.3181, pruned_loss=0.09449, over 14191.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04362, over 109.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3615, pruned_loss=0.1142, over 2775246.32 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07329, over 46576.94 utterances.], batch size: 109, lr: 3.30e-04
+2022-09-18 05:21:18,810 INFO [train.py:885] (0/2) Epoch 14, batch 9200, loss[loss=0.2891, simple_loss=0.3518, pruned_loss=0.1132, over 13901.00 frames. utt_duration=705.4 frames, utt_pad_proportion=0.06689, over 79.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3636, pruned_loss=0.1152, over 2777821.08 frames. utt_duration=238 frames, utt_pad_proportion=0.07296, over 46969.51 utterances.], batch size: 79, lr: 3.30e-04
+2022-09-18 05:21:48,019 INFO [train.py:885] (0/2) Epoch 14, batch 9250, loss[loss=0.3264, simple_loss=0.3607, pruned_loss=0.146, over 14113.00 frames. utt_duration=577.5 frames, utt_pad_proportion=0.0486, over 98.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3633, pruned_loss=0.1161, over 2782074.64 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07043, over 46436.55 utterances.], batch size: 98, lr: 3.30e-04
+2022-09-18 05:22:17,646 INFO [train.py:885] (0/2) Epoch 14, batch 9300, loss[loss=0.1754, simple_loss=0.2444, pruned_loss=0.05321, over 13846.00 frames. utt_duration=924.5 frames, utt_pad_proportion=0.07177, over 60.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.364, pruned_loss=0.1168, over 2781582.40 frames. utt_duration=240 frames, utt_pad_proportion=0.07045, over 46636.13 utterances.], batch size: 60, lr: 3.30e-04
+2022-09-18 05:22:47,152 INFO [train.py:885] (0/2) Epoch 14, batch 9350, loss[loss=0.3529, simple_loss=0.3973, pruned_loss=0.1542, over 14197.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.04911, over 141.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.3644, pruned_loss=0.1175, over 2780750.53 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07122, over 46589.47 utterances.], batch size: 141, lr: 3.30e-04
+2022-09-18 05:23:16,857 INFO [train.py:885] (0/2) Epoch 14, batch 9400, loss[loss=0.2611, simple_loss=0.334, pruned_loss=0.09416, over 14335.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.03998, over 167.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3625, pruned_loss=0.1166, over 2783955.38 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07017, over 45839.61 utterances.], batch size: 167, lr: 3.30e-04
+2022-09-18 05:23:47,028 INFO [train.py:885] (0/2) Epoch 14, batch 9450, loss[loss=0.2475, simple_loss=0.3137, pruned_loss=0.0906, over 14078.00 frames. utt_duration=576.2 frames, utt_pad_proportion=0.05547, over 98.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.367, pruned_loss=0.118, over 2778335.54 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07351, over 48075.78 utterances.], batch size: 98, lr: 3.30e-04
+2022-09-18 05:24:17,098 INFO [train.py:885] (0/2) Epoch 14, batch 9500, loss[loss=0.4645, simple_loss=0.5129, pruned_loss=0.208, over 13763.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07159, over 411.00 utterances.], tot_loss[loss=0.3063, simple_loss=0.3713, pruned_loss=0.1207, over 2780809.32 frames. utt_duration=226.8 frames, utt_pad_proportion=0.07414, over 49358.64 utterances.], batch size: 411, lr: 3.30e-04
+2022-09-18 05:24:46,249 INFO [train.py:885] (0/2) Epoch 14, batch 9550, loss[loss=0.6195, simple_loss=0.6685, pruned_loss=0.2852, over 12494.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1451, over 810.00 utterances.], tot_loss[loss=0.305, simple_loss=0.3704, pruned_loss=0.1198, over 2777487.37 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07424, over 49104.09 utterances.], batch size: 810, lr: 3.30e-04
+2022-09-18 05:25:15,579 INFO [train.py:885] (0/2) Epoch 14, batch 9600, loss[loss=0.2051, simple_loss=0.2668, pruned_loss=0.07172, over 14036.00 frames. utt_duration=712.1 frames, utt_pad_proportion=0.05684, over 79.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3668, pruned_loss=0.1178, over 2779896.36 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07385, over 48133.24 utterances.], batch size: 79, lr: 3.29e-04
+2022-09-18 05:25:45,024 INFO [train.py:885] (0/2) Epoch 14, batch 9650, loss[loss=0.3385, simple_loss=0.4255, pruned_loss=0.1258, over 13629.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08128, over 477.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.3632, pruned_loss=0.1155, over 2774722.15 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07407, over 47207.75 utterances.], batch size: 477, lr: 3.29e-04
+2022-09-18 05:26:14,916 INFO [train.py:885] (0/2) Epoch 14, batch 9700, loss[loss=0.44, simple_loss=0.513, pruned_loss=0.1834, over 13137.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1083, over 653.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3646, pruned_loss=0.1164, over 2769310.71 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07713, over 48565.77 utterances.], batch size: 653, lr: 3.29e-04
+2022-09-18 05:26:44,799 INFO [train.py:885] (0/2) Epoch 14, batch 9750, loss[loss=0.204, simple_loss=0.2717, pruned_loss=0.06821, over 13877.00 frames. utt_duration=806 frames, utt_pad_proportion=0.06059, over 69.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3641, pruned_loss=0.1164, over 2777739.63 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07465, over 47930.89 utterances.], batch size: 69, lr: 3.29e-04
+2022-09-18 05:27:13,913 INFO [train.py:885] (0/2) Epoch 14, batch 9800, loss[loss=0.3997, simple_loss=0.4833, pruned_loss=0.1581, over 13109.00 frames. utt_duration=81.82 frames, utt_pad_proportion=0.1106, over 653.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3614, pruned_loss=0.1147, over 2779400.70 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07251, over 46653.44 utterances.], batch size: 653, lr: 3.29e-04
+2022-09-18 05:27:43,599 INFO [train.py:885] (0/2) Epoch 14, batch 9850, loss[loss=0.2561, simple_loss=0.3387, pruned_loss=0.08678, over 14343.00 frames. utt_duration=320 frames, utt_pad_proportion=0.03609, over 180.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3634, pruned_loss=0.1157, over 2777535.88 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07361, over 47678.24 utterances.], batch size: 180, lr: 3.29e-04
+2022-09-18 05:28:13,099 INFO [train.py:885] (0/2) Epoch 14, batch 9900, loss[loss=0.2995, simple_loss=0.3768, pruned_loss=0.1111, over 14286.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03985, over 225.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.364, pruned_loss=0.1167, over 2778552.45 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07272, over 47020.24 utterances.], batch size: 225, lr: 3.29e-04
+2022-09-18 05:28:43,355 INFO [train.py:885] (0/2) Epoch 14, batch 9950, loss[loss=0.2729, simple_loss=0.3398, pruned_loss=0.103, over 14361.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.03728, over 154.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3648, pruned_loss=0.1169, over 2772601.50 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07495, over 47960.44 utterances.], batch size: 154, lr: 3.29e-04
+2022-09-18 05:29:13,342 INFO [train.py:885] (0/2) Epoch 14, batch 10000, loss[loss=0.3012, simple_loss=0.3739, pruned_loss=0.1142, over 14363.00 frames. utt_duration=204.4 frames, utt_pad_proportion=0.03569, over 283.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3642, pruned_loss=0.1158, over 2777387.67 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07258, over 47015.40 utterances.], batch size: 283, lr: 3.29e-04
+2022-09-18 05:29:42,317 INFO [train.py:885] (0/2) Epoch 14, batch 10050, loss[loss=0.272, simple_loss=0.3418, pruned_loss=0.1011, over 14303.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.0404, over 130.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3608, pruned_loss=0.1147, over 2775608.47 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07242, over 45075.91 utterances.], batch size: 130, lr: 3.29e-04
+2022-09-18 05:30:12,375 INFO [train.py:885] (0/2) Epoch 14, batch 10100, loss[loss=0.3326, simple_loss=0.3937, pruned_loss=0.1357, over 14347.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03672, over 283.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3635, pruned_loss=0.1167, over 2776267.77 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07279, over 46124.30 utterances.], batch size: 283, lr: 3.29e-04
+2022-09-18 05:30:42,128 INFO [train.py:885] (0/2) Epoch 14, batch 10150, loss[loss=0.3229, simple_loss=0.3822, pruned_loss=0.1318, over 14322.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03777, over 195.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3655, pruned_loss=0.1186, over 2779758.63 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07209, over 45907.18 utterances.], batch size: 195, lr: 3.29e-04
+2022-09-18 05:31:11,311 INFO [train.py:885] (0/2) Epoch 14, batch 10200, loss[loss=0.2487, simple_loss=0.3175, pruned_loss=0.08994, over 14320.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.03847, over 120.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3639, pruned_loss=0.1173, over 2780694.53 frames. utt_duration=247 frames, utt_pad_proportion=0.07057, over 45304.76 utterances.], batch size: 120, lr: 3.29e-04
+2022-09-18 05:31:41,162 INFO [train.py:885] (0/2) Epoch 14, batch 10250, loss[loss=0.1634, simple_loss=0.2251, pruned_loss=0.05087, over 13596.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.09145, over 42.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3617, pruned_loss=0.1157, over 2780781.09 frames. utt_duration=251 frames, utt_pad_proportion=0.07052, over 44567.53 utterances.], batch size: 42, lr: 3.29e-04
+2022-09-18 05:32:10,814 INFO [train.py:885] (0/2) Epoch 14, batch 10300, loss[loss=0.2976, simple_loss=0.3642, pruned_loss=0.1155, over 14301.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03807, over 180.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3624, pruned_loss=0.1153, over 2783402.28 frames. utt_duration=249 frames, utt_pad_proportion=0.06995, over 44983.07 utterances.], batch size: 180, lr: 3.29e-04
+2022-09-18 05:32:40,701 INFO [train.py:885] (0/2) Epoch 14, batch 10350, loss[loss=0.182, simple_loss=0.248, pruned_loss=0.05806, over 13476.00 frames. utt_duration=1285 frames, utt_pad_proportion=0.0902, over 42.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3628, pruned_loss=0.1154, over 2780686.14 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07195, over 45902.34 utterances.], batch size: 42, lr: 3.29e-04
+2022-09-18 05:33:10,574 INFO [train.py:885] (0/2) Epoch 14, batch 10400, loss[loss=0.3192, simple_loss=0.4068, pruned_loss=0.1158, over 13623.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08193, over 477.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3611, pruned_loss=0.1147, over 2779362.47 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07188, over 45724.83 utterances.], batch size: 477, lr: 3.29e-04
+2022-09-18 05:33:40,082 INFO [train.py:885] (0/2) Epoch 14, batch 10450, loss[loss=0.226, simple_loss=0.2848, pruned_loss=0.08355, over 13579.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08489, over 50.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3609, pruned_loss=0.1146, over 2777855.14 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07212, over 45742.61 utterances.], batch size: 50, lr: 3.29e-04
+2022-09-18 05:34:09,681 INFO [train.py:885] (0/2) Epoch 14, batch 10500, loss[loss=0.442, simple_loss=0.4639, pruned_loss=0.2101, over 14236.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04299, over 335.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3614, pruned_loss=0.1142, over 2779620.90 frames. utt_duration=239 frames, utt_pad_proportion=0.07171, over 46807.17 utterances.], batch size: 335, lr: 3.29e-04
+2022-09-18 05:34:38,899 INFO [train.py:885] (0/2) Epoch 14, batch 10550, loss[loss=0.3338, simple_loss=0.3924, pruned_loss=0.1376, over 14357.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03552, over 210.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3612, pruned_loss=0.1145, over 2781681.47 frames. utt_duration=242 frames, utt_pad_proportion=0.07091, over 46257.97 utterances.], batch size: 210, lr: 3.29e-04
+2022-09-18 05:35:08,683 INFO [train.py:885] (0/2) Epoch 14, batch 10600, loss[loss=0.3472, simple_loss=0.3955, pruned_loss=0.1494, over 14269.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04429, over 141.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3606, pruned_loss=0.114, over 2782343.55 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07075, over 45810.73 utterances.], batch size: 141, lr: 3.29e-04
+2022-09-18 05:35:38,447 INFO [train.py:885] (0/2) Epoch 14, batch 10650, loss[loss=0.2015, simple_loss=0.2707, pruned_loss=0.0662, over 13580.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.07814, over 50.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.36, pruned_loss=0.1147, over 2780343.04 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07152, over 45027.20 utterances.], batch size: 50, lr: 3.28e-04
+2022-09-18 05:36:07,981 INFO [train.py:885] (0/2) Epoch 14, batch 10700, loss[loss=0.3035, simple_loss=0.3742, pruned_loss=0.1164, over 14325.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03832, over 262.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3601, pruned_loss=0.1152, over 2782887.57 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07024, over 44693.19 utterances.], batch size: 262, lr: 3.28e-04
+2022-09-18 05:36:37,074 INFO [train.py:885] (0/2) Epoch 14, batch 10750, loss[loss=0.2721, simple_loss=0.3476, pruned_loss=0.09828, over 14357.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03831, over 167.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3589, pruned_loss=0.1138, over 2783563.12 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06996, over 44970.35 utterances.], batch size: 167, lr: 3.28e-04
+2022-09-18 05:37:06,314 INFO [train.py:885] (0/2) Epoch 14, batch 10800, loss[loss=0.3169, simple_loss=0.3841, pruned_loss=0.1249, over 14345.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03602, over 210.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3552, pruned_loss=0.1121, over 2781207.89 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06894, over 43246.90 utterances.], batch size: 210, lr: 3.28e-04
+2022-09-18 05:37:36,361 INFO [train.py:885] (0/2) Epoch 14, batch 10850, loss[loss=0.2574, simple_loss=0.323, pruned_loss=0.09593, over 14219.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04165, over 109.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3583, pruned_loss=0.1139, over 2786073.39 frames. utt_duration=254.6 frames, utt_pad_proportion=0.0684, over 44031.19 utterances.], batch size: 109, lr: 3.28e-04
+2022-09-18 05:38:05,736 INFO [train.py:885] (0/2) Epoch 14, batch 10900, loss[loss=0.3465, simple_loss=0.4031, pruned_loss=0.145, over 14191.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04507, over 306.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3581, pruned_loss=0.1137, over 2783814.88 frames. utt_duration=253.3 frames, utt_pad_proportion=0.0687, over 44210.67 utterances.], batch size: 306, lr: 3.28e-04
+2022-09-18 05:38:36,798 INFO [train.py:885] (0/2) Epoch 14, batch 10950, loss[loss=0.1684, simple_loss=0.2286, pruned_loss=0.05411, over 13157.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1161, over 33.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3606, pruned_loss=0.1149, over 2777224.56 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07166, over 45941.55 utterances.], batch size: 33, lr: 3.28e-04
+2022-09-18 05:39:05,454 INFO [train.py:885] (0/2) Epoch 14, batch 11000, loss[loss=0.3352, simple_loss=0.4219, pruned_loss=0.1243, over 13630.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08088, over 477.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3557, pruned_loss=0.1121, over 2779543.94 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06998, over 44158.33 utterances.], batch size: 477, lr: 3.28e-04
+2022-09-18 05:39:35,687 INFO [train.py:885] (0/2) Epoch 14, batch 11050, loss[loss=0.36, simple_loss=0.4115, pruned_loss=0.1542, over 14226.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04353, over 335.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3589, pruned_loss=0.114, over 2783580.02 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06915, over 44718.03 utterances.], batch size: 335, lr: 3.28e-04
+2022-09-18 05:40:05,335 INFO [train.py:885] (0/2) Epoch 14, batch 11100, loss[loss=0.3868, simple_loss=0.4678, pruned_loss=0.1529, over 13657.00 frames. utt_duration=98.92 frames, utt_pad_proportion=0.07548, over 560.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3599, pruned_loss=0.1141, over 2779181.85 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07066, over 45219.27 utterances.], batch size: 560, lr: 3.28e-04
+2022-09-18 05:40:35,453 INFO [train.py:885] (0/2) Epoch 14, batch 11150, loss[loss=0.4157, simple_loss=0.4993, pruned_loss=0.166, over 13149.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1075, over 653.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3591, pruned_loss=0.1134, over 2783990.64 frames. utt_duration=248 frames, utt_pad_proportion=0.06934, over 45173.23 utterances.], batch size: 653, lr: 3.28e-04
+2022-09-18 05:41:04,860 INFO [train.py:885] (0/2) Epoch 14, batch 11200, loss[loss=0.2707, simple_loss=0.3536, pruned_loss=0.0939, over 14359.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03551, over 210.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3598, pruned_loss=0.1139, over 2779331.48 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07292, over 45605.69 utterances.], batch size: 210, lr: 3.28e-04
+2022-09-18 05:41:34,826 INFO [train.py:885] (0/2) Epoch 14, batch 11250, loss[loss=0.1757, simple_loss=0.2288, pruned_loss=0.06133, over 12985.00 frames. utt_duration=1575 frames, utt_pad_proportion=0.125, over 33.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.36, pruned_loss=0.1135, over 2778344.83 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07196, over 45945.93 utterances.], batch size: 33, lr: 3.28e-04
+2022-09-18 05:42:04,643 INFO [train.py:885] (0/2) Epoch 14, batch 11300, loss[loss=0.2787, simple_loss=0.3608, pruned_loss=0.09833, over 14308.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03825, over 180.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.36, pruned_loss=0.1141, over 2780188.69 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07159, over 45684.72 utterances.], batch size: 180, lr: 3.28e-04
+2022-09-18 05:42:34,189 INFO [train.py:885] (0/2) Epoch 14, batch 11350, loss[loss=0.4757, simple_loss=0.5425, pruned_loss=0.2044, over 13182.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3551, pruned_loss=0.1118, over 2778187.30 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07092, over 44206.70 utterances.], batch size: 653, lr: 3.28e-04
+2022-09-18 05:43:03,907 INFO [train.py:885] (0/2) Epoch 14, batch 11400, loss[loss=0.1952, simple_loss=0.2662, pruned_loss=0.06212, over 13661.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.07495, over 50.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3581, pruned_loss=0.1135, over 2782757.80 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06954, over 44809.10 utterances.], batch size: 50, lr: 3.28e-04
+2022-09-18 05:43:33,086 INFO [train.py:885] (0/2) Epoch 14, batch 11450, loss[loss=0.2177, simple_loss=0.2916, pruned_loss=0.07185, over 14189.00 frames. utt_duration=580.6 frames, utt_pad_proportion=0.04506, over 98.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.357, pruned_loss=0.1126, over 2777791.32 frames. utt_duration=249.7 frames, utt_pad_proportion=0.0717, over 44755.96 utterances.], batch size: 98, lr: 3.28e-04
+2022-09-18 05:44:03,068 INFO [train.py:885] (0/2) Epoch 14, batch 11500, loss[loss=0.5674, simple_loss=0.631, pruned_loss=0.2519, over 12538.00 frames. utt_duration=63.45 frames, utt_pad_proportion=0.1425, over 810.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3609, pruned_loss=0.1147, over 2776298.75 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07335, over 45844.06 utterances.], batch size: 810, lr: 3.28e-04
+2022-09-18 05:44:33,083 INFO [train.py:885] (0/2) Epoch 14, batch 11550, loss[loss=0.2254, simple_loss=0.2965, pruned_loss=0.07715, over 14111.00 frames. utt_duration=519.3 frames, utt_pad_proportion=0.04898, over 109.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3593, pruned_loss=0.1142, over 2775301.43 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07339, over 45474.02 utterances.], batch size: 109, lr: 3.28e-04
+2022-09-18 05:45:02,216 INFO [train.py:885] (0/2) Epoch 14, batch 11600, loss[loss=0.2235, simple_loss=0.2948, pruned_loss=0.0761, over 14136.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.047, over 109.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3598, pruned_loss=0.1142, over 2771354.41 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0754, over 45952.37 utterances.], batch size: 109, lr: 3.28e-04
+2022-09-18 05:45:31,212 INFO [train.py:885] (0/2) Epoch 14, batch 11650, loss[loss=0.3457, simple_loss=0.3951, pruned_loss=0.1481, over 14278.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04014, over 180.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3574, pruned_loss=0.1129, over 2777943.87 frames. utt_duration=250 frames, utt_pad_proportion=0.07181, over 44704.83 utterances.], batch size: 180, lr: 3.28e-04
+2022-09-18 05:46:01,125 INFO [train.py:885] (0/2) Epoch 14, batch 11700, loss[loss=0.188, simple_loss=0.2643, pruned_loss=0.05584, over 14055.00 frames. utt_duration=713 frames, utt_pad_proportion=0.05688, over 79.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3572, pruned_loss=0.1124, over 2778115.36 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07234, over 44995.96 utterances.], batch size: 79, lr: 3.27e-04
+2022-09-18 05:46:31,249 INFO [train.py:885] (0/2) Epoch 14, batch 11750, loss[loss=0.3014, simple_loss=0.4014, pruned_loss=0.1007, over 13690.00 frames. utt_duration=134.8 frames, utt_pad_proportion=0.07668, over 411.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.359, pruned_loss=0.1137, over 2777119.50 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07256, over 45448.99 utterances.], batch size: 411, lr: 3.27e-04
+2022-09-18 05:47:00,410 INFO [train.py:885] (0/2) Epoch 14, batch 11800, loss[loss=0.2801, simple_loss=0.3585, pruned_loss=0.1008, over 14370.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03549, over 210.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3593, pruned_loss=0.1138, over 2778193.96 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07082, over 45123.76 utterances.], batch size: 210, lr: 3.27e-04
+2022-09-18 05:47:29,688 INFO [train.py:885] (0/2) Epoch 14, batch 11850, loss[loss=0.2414, simple_loss=0.3016, pruned_loss=0.09059, over 14143.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.04706, over 109.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3556, pruned_loss=0.1122, over 2784514.28 frames. utt_duration=260.4 frames, utt_pad_proportion=0.06815, over 43009.68 utterances.], batch size: 109, lr: 3.27e-04
+2022-09-18 05:47:59,827 INFO [train.py:885] (0/2) Epoch 14, batch 11900, loss[loss=0.3119, simple_loss=0.3728, pruned_loss=0.1255, over 14220.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04501, over 141.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3558, pruned_loss=0.1128, over 2783315.16 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06838, over 43133.61 utterances.], batch size: 141, lr: 3.27e-04
+2022-09-18 05:48:24,115 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-176000.pt
+2022-09-18 05:48:30,052 INFO [train.py:885] (0/2) Epoch 14, batch 11950, loss[loss=0.2999, simple_loss=0.3676, pruned_loss=0.1161, over 14304.00 frames. utt_duration=294.9 frames, utt_pad_proportion=0.03929, over 195.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3586, pruned_loss=0.1138, over 2780844.20 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07174, over 45198.78 utterances.], batch size: 195, lr: 3.27e-04
+2022-09-18 05:48:59,421 INFO [train.py:885] (0/2) Epoch 14, batch 12000, loss[loss=0.2537, simple_loss=0.3242, pruned_loss=0.09161, over 14384.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.03236, over 130.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3569, pruned_loss=0.1132, over 2781219.89 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07009, over 43940.85 utterances.], batch size: 130, lr: 3.27e-04
+2022-09-18 05:48:59,423 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 05:49:03,541 INFO [train.py:914] (0/2) Epoch 14, validation: loss=0.2034, simple_loss=0.2819, pruned_loss=0.06241, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 05:49:32,981 INFO [train.py:885] (0/2) Epoch 14, batch 12050, loss[loss=0.304, simple_loss=0.3612, pruned_loss=0.1234, over 14178.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04453, over 109.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3578, pruned_loss=0.1137, over 2785049.40 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06838, over 44255.31 utterances.], batch size: 109, lr: 3.27e-04
+2022-09-18 05:50:02,686 INFO [train.py:885] (0/2) Epoch 14, batch 12100, loss[loss=0.1969, simple_loss=0.2818, pruned_loss=0.05601, over 13296.00 frames. utt_duration=2047 frames, utt_pad_proportion=0.1026, over 26.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3579, pruned_loss=0.1138, over 2786910.84 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06801, over 44060.92 utterances.], batch size: 26, lr: 3.27e-04
+2022-09-18 05:50:31,694 INFO [train.py:885] (0/2) Epoch 14, batch 12150, loss[loss=0.3193, simple_loss=0.3765, pruned_loss=0.131, over 14248.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.0419, over 180.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3601, pruned_loss=0.1151, over 2790194.16 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06786, over 44495.80 utterances.], batch size: 180, lr: 3.27e-04
+2022-09-18 05:51:01,971 INFO [train.py:885] (0/2) Epoch 14, batch 12200, loss[loss=0.3549, simple_loss=0.4212, pruned_loss=0.1443, over 13975.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05743, over 365.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3595, pruned_loss=0.1145, over 2784299.04 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07005, over 45032.77 utterances.], batch size: 365, lr: 3.27e-04
+2022-09-18 05:51:31,658 INFO [train.py:885] (0/2) Epoch 14, batch 12250, loss[loss=0.2469, simple_loss=0.3288, pruned_loss=0.08249, over 14308.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03822, over 154.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3623, pruned_loss=0.1156, over 2787568.45 frames. utt_duration=243 frames, utt_pad_proportion=0.06913, over 46167.93 utterances.], batch size: 154, lr: 3.27e-04
+2022-09-18 05:52:00,815 INFO [train.py:885] (0/2) Epoch 14, batch 12300, loss[loss=0.2498, simple_loss=0.3229, pruned_loss=0.08839, over 14282.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04332, over 141.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3577, pruned_loss=0.1126, over 2783838.26 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07025, over 45642.70 utterances.], batch size: 141, lr: 3.27e-04
+2022-09-18 05:52:30,324 INFO [train.py:885] (0/2) Epoch 14, batch 12350, loss[loss=0.2354, simple_loss=0.3071, pruned_loss=0.08184, over 14281.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.04113, over 120.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3578, pruned_loss=0.1126, over 2787725.10 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06872, over 45487.72 utterances.], batch size: 120, lr: 3.27e-04
+2022-09-18 05:52:59,572 INFO [train.py:885] (0/2) Epoch 14, batch 12400, loss[loss=0.1816, simple_loss=0.2365, pruned_loss=0.06334, over 13637.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08198, over 50.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3606, pruned_loss=0.1149, over 2786821.27 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07033, over 45945.24 utterances.], batch size: 50, lr: 3.27e-04
+2022-09-18 05:53:28,887 INFO [train.py:885] (0/2) Epoch 14, batch 12450, loss[loss=0.2909, simple_loss=0.3724, pruned_loss=0.1047, over 14388.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03393, over 210.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3601, pruned_loss=0.1149, over 2789518.08 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06709, over 45387.22 utterances.], batch size: 210, lr: 3.27e-04
+2022-09-18 05:53:58,392 INFO [train.py:885] (0/2) Epoch 14, batch 12500, loss[loss=0.2118, simple_loss=0.2756, pruned_loss=0.07404, over 14115.00 frames. utt_duration=716.2 frames, utt_pad_proportion=0.05264, over 79.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3592, pruned_loss=0.1143, over 2786715.48 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06764, over 44535.60 utterances.], batch size: 79, lr: 3.27e-04
+2022-09-18 05:54:27,939 INFO [train.py:885] (0/2) Epoch 14, batch 12550, loss[loss=0.2532, simple_loss=0.3181, pruned_loss=0.09414, over 14334.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03768, over 120.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3599, pruned_loss=0.1141, over 2787018.27 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06773, over 44818.68 utterances.], batch size: 120, lr: 3.27e-04
+2022-09-18 05:54:55,642 INFO [train.py:885] (0/2) Epoch 14, batch 12600, loss[loss=0.3391, simple_loss=0.3728, pruned_loss=0.1527, over 14298.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.0402, over 130.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3591, pruned_loss=0.114, over 2789268.37 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06679, over 44086.86 utterances.], batch size: 130, lr: 3.27e-04
+2022-09-18 05:55:07,164 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-14.pt
+2022-09-18 05:55:14,914 INFO [train.py:885] (0/2) Epoch 15, batch 0, loss[loss=0.321, simple_loss=0.4134, pruned_loss=0.1143, over 13634.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08035, over 477.00 utterances.], tot_loss[loss=0.321, simple_loss=0.4134, pruned_loss=0.1143, over 13634.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08035, over 477.00 utterances.], batch size: 477, lr: 3.17e-04
+2022-09-18 05:55:44,955 INFO [train.py:885] (0/2) Epoch 15, batch 50, loss[loss=0.526, simple_loss=0.6085, pruned_loss=0.2218, over 12468.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3695, pruned_loss=0.1193, over 621849.28 frames. utt_duration=214.4 frames, utt_pad_proportion=0.08409, over 11683.61 utterances.], batch size: 810, lr: 3.17e-04
+2022-09-18 05:56:14,142 INFO [train.py:885] (0/2) Epoch 15, batch 100, loss[loss=0.2438, simple_loss=0.3259, pruned_loss=0.08085, over 14264.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04294, over 130.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3595, pruned_loss=0.114, over 1106735.01 frames. utt_duration=239 frames, utt_pad_proportion=0.0712, over 18638.07 utterances.], batch size: 130, lr: 3.17e-04
+2022-09-18 05:56:43,874 INFO [train.py:885] (0/2) Epoch 15, batch 150, loss[loss=0.2465, simple_loss=0.3211, pruned_loss=0.08597, over 14321.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03905, over 130.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3651, pruned_loss=0.117, over 1477078.77 frames. utt_duration=238 frames, utt_pad_proportion=0.07193, over 24982.06 utterances.], batch size: 130, lr: 3.17e-04
+2022-09-18 05:57:13,122 INFO [train.py:885] (0/2) Epoch 15, batch 200, loss[loss=0.1703, simple_loss=0.2333, pruned_loss=0.05362, over 13320.00 frames. utt_duration=1067 frames, utt_pad_proportion=0.09697, over 50.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3628, pruned_loss=0.1162, over 1769177.03 frames. utt_duration=246 frames, utt_pad_proportion=0.06778, over 28943.26 utterances.], batch size: 50, lr: 3.17e-04
+2022-09-18 05:57:42,825 INFO [train.py:885] (0/2) Epoch 15, batch 250, loss[loss=0.3088, simple_loss=0.3718, pruned_loss=0.1229, over 14353.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03718, over 262.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3663, pruned_loss=0.117, over 1996415.87 frames. utt_duration=233.8 frames, utt_pad_proportion=0.06894, over 34380.27 utterances.], batch size: 262, lr: 3.16e-04
+2022-09-18 05:58:13,512 INFO [train.py:885] (0/2) Epoch 15, batch 300, loss[loss=0.3354, simple_loss=0.4122, pruned_loss=0.1293, over 13766.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07184, over 411.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3667, pruned_loss=0.1174, over 2170165.28 frames. utt_duration=231.3 frames, utt_pad_proportion=0.06927, over 37771.81 utterances.], batch size: 411, lr: 3.16e-04
+2022-09-18 05:58:42,113 INFO [train.py:885] (0/2) Epoch 15, batch 350, loss[loss=0.4846, simple_loss=0.5376, pruned_loss=0.2158, over 13187.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3614, pruned_loss=0.1147, over 2307432.77 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06769, over 37328.00 utterances.], batch size: 653, lr: 3.16e-04
+2022-09-18 05:59:11,779 INFO [train.py:885] (0/2) Epoch 15, batch 400, loss[loss=0.1876, simple_loss=0.2362, pruned_loss=0.06946, over 13536.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08731, over 50.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3581, pruned_loss=0.1137, over 2409311.88 frames. utt_duration=251.4 frames, utt_pad_proportion=0.0692, over 38554.32 utterances.], batch size: 50, lr: 3.16e-04
+2022-09-18 05:59:41,652 INFO [train.py:885] (0/2) Epoch 15, batch 450, loss[loss=0.2174, simple_loss=0.2815, pruned_loss=0.07665, over 14216.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04426, over 89.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3586, pruned_loss=0.1139, over 2490119.19 frames. utt_duration=247.6 frames, utt_pad_proportion=0.0719, over 40477.56 utterances.], batch size: 89, lr: 3.16e-04
+2022-09-18 06:00:11,295 INFO [train.py:885] (0/2) Epoch 15, batch 500, loss[loss=0.1764, simple_loss=0.2478, pruned_loss=0.05248, over 13550.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08706, over 50.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3575, pruned_loss=0.113, over 2553073.32 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07346, over 41323.87 utterances.], batch size: 50, lr: 3.16e-04
+2022-09-18 06:00:40,298 INFO [train.py:885] (0/2) Epoch 15, batch 550, loss[loss=0.2494, simple_loss=0.3085, pruned_loss=0.09509, over 14066.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05672, over 98.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3584, pruned_loss=0.1135, over 2602597.33 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07306, over 42248.65 utterances.], batch size: 98, lr: 3.16e-04
+2022-09-18 06:01:09,875 INFO [train.py:885] (0/2) Epoch 15, batch 600, loss[loss=0.328, simple_loss=0.3875, pruned_loss=0.1342, over 14219.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04343, over 306.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3566, pruned_loss=0.1127, over 2642100.38 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07233, over 42095.28 utterances.], batch size: 306, lr: 3.16e-04
+2022-09-18 06:01:39,477 INFO [train.py:885] (0/2) Epoch 15, batch 650, loss[loss=0.3487, simple_loss=0.4005, pruned_loss=0.1484, over 14369.00 frames. utt_duration=220.8 frames, utt_pad_proportion=0.03585, over 262.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.36, pruned_loss=0.1139, over 2675053.24 frames. utt_duration=245 frames, utt_pad_proportion=0.07282, over 43942.73 utterances.], batch size: 262, lr: 3.16e-04
+2022-09-18 06:02:09,535 INFO [train.py:885] (0/2) Epoch 15, batch 700, loss[loss=0.2416, simple_loss=0.3192, pruned_loss=0.08197, over 14167.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.045, over 109.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3631, pruned_loss=0.1157, over 2696317.75 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07297, over 45306.98 utterances.], batch size: 109, lr: 3.16e-04
+2022-09-18 06:02:39,261 INFO [train.py:885] (0/2) Epoch 15, batch 750, loss[loss=0.3714, simple_loss=0.4205, pruned_loss=0.1612, over 14226.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04399, over 335.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3621, pruned_loss=0.1148, over 2718522.07 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07152, over 45634.33 utterances.], batch size: 335, lr: 3.16e-04
+2022-09-18 06:03:08,650 INFO [train.py:885] (0/2) Epoch 15, batch 800, loss[loss=0.5723, simple_loss=0.6338, pruned_loss=0.2554, over 12507.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 810.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3606, pruned_loss=0.1151, over 2731093.93 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07115, over 44597.94 utterances.], batch size: 810, lr: 3.16e-04
+2022-09-18 06:03:38,495 INFO [train.py:885] (0/2) Epoch 15, batch 850, loss[loss=0.4161, simple_loss=0.4524, pruned_loss=0.1899, over 14260.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.0416, over 225.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3624, pruned_loss=0.1161, over 2739663.22 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07073, over 45650.23 utterances.], batch size: 225, lr: 3.16e-04
+2022-09-18 06:04:07,986 INFO [train.py:885] (0/2) Epoch 15, batch 900, loss[loss=0.3272, simple_loss=0.3845, pruned_loss=0.1349, over 14380.00 frames. utt_duration=296.6 frames, utt_pad_proportion=0.03384, over 195.00 utterances.], tot_loss[loss=0.297, simple_loss=0.362, pruned_loss=0.1161, over 2741350.15 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07274, over 45881.28 utterances.], batch size: 195, lr: 3.16e-04
+2022-09-18 06:04:37,352 INFO [train.py:885] (0/2) Epoch 15, batch 950, loss[loss=0.2121, simple_loss=0.2696, pruned_loss=0.07735, over 14029.00 frames. utt_duration=803.3 frames, utt_pad_proportion=0.05603, over 70.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3609, pruned_loss=0.1153, over 2748391.47 frames. utt_duration=242 frames, utt_pad_proportion=0.0737, over 45711.59 utterances.], batch size: 70, lr: 3.16e-04
+2022-09-18 06:05:06,479 INFO [train.py:885] (0/2) Epoch 15, batch 1000, loss[loss=0.413, simple_loss=0.5011, pruned_loss=0.1625, over 13163.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3627, pruned_loss=0.1156, over 2758472.03 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07372, over 46155.03 utterances.], batch size: 653, lr: 3.16e-04
+2022-09-18 06:05:44,369 INFO [train.py:885] (0/2) Epoch 15, batch 1050, loss[loss=0.287, simple_loss=0.3873, pruned_loss=0.0934, over 13990.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05633, over 365.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3663, pruned_loss=0.117, over 2764822.27 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07318, over 48277.23 utterances.], batch size: 365, lr: 3.16e-04
+2022-09-18 06:06:13,779 INFO [train.py:885] (0/2) Epoch 15, batch 1100, loss[loss=0.2835, simple_loss=0.3418, pruned_loss=0.1126, over 14311.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03737, over 130.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3633, pruned_loss=0.115, over 2765391.03 frames. utt_duration=236 frames, utt_pad_proportion=0.07264, over 47161.55 utterances.], batch size: 130, lr: 3.16e-04
+2022-09-18 06:06:43,497 INFO [train.py:885] (0/2) Epoch 15, batch 1150, loss[loss=0.2308, simple_loss=0.3065, pruned_loss=0.07753, over 14333.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.03786, over 130.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3654, pruned_loss=0.1155, over 2772775.66 frames. utt_duration=231.3 frames, utt_pad_proportion=0.0711, over 48253.03 utterances.], batch size: 130, lr: 3.16e-04
+2022-09-18 06:07:13,143 INFO [train.py:885] (0/2) Epoch 15, batch 1200, loss[loss=0.2021, simple_loss=0.2506, pruned_loss=0.07683, over 13815.00 frames. utt_duration=922.5 frames, utt_pad_proportion=0.07283, over 60.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3636, pruned_loss=0.1152, over 2768318.66 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07276, over 47956.47 utterances.], batch size: 60, lr: 3.16e-04
+2022-09-18 06:07:42,661 INFO [train.py:885] (0/2) Epoch 15, batch 1250, loss[loss=0.2798, simple_loss=0.3352, pruned_loss=0.1121, over 14032.00 frames. utt_duration=574.3 frames, utt_pad_proportion=0.0555, over 98.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3616, pruned_loss=0.1139, over 2768756.43 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07284, over 47325.51 utterances.], batch size: 98, lr: 3.16e-04
+2022-09-18 06:08:12,579 INFO [train.py:885] (0/2) Epoch 15, batch 1300, loss[loss=0.2595, simple_loss=0.3021, pruned_loss=0.1084, over 13757.00 frames. utt_duration=799 frames, utt_pad_proportion=0.06871, over 69.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3636, pruned_loss=0.1151, over 2768378.00 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07574, over 48125.71 utterances.], batch size: 69, lr: 3.16e-04
+2022-09-18 06:08:42,213 INFO [train.py:885] (0/2) Epoch 15, batch 1350, loss[loss=0.2958, simple_loss=0.3714, pruned_loss=0.1101, over 14342.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03798, over 262.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3598, pruned_loss=0.1129, over 2770612.34 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07394, over 46569.81 utterances.], batch size: 262, lr: 3.15e-04
+2022-09-18 06:09:11,507 INFO [train.py:885] (0/2) Epoch 15, batch 1400, loss[loss=0.1671, simple_loss=0.236, pruned_loss=0.04909, over 13274.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.1013, over 33.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3614, pruned_loss=0.1137, over 2774435.41 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07204, over 46634.75 utterances.], batch size: 33, lr: 3.15e-04
+2022-09-18 06:09:41,464 INFO [train.py:885] (0/2) Epoch 15, batch 1450, loss[loss=0.2276, simple_loss=0.2927, pruned_loss=0.08131, over 13686.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.07782, over 42.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3611, pruned_loss=0.1132, over 2774718.34 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0705, over 46640.68 utterances.], batch size: 42, lr: 3.15e-04
+2022-09-18 06:10:10,655 INFO [train.py:885] (0/2) Epoch 15, batch 1500, loss[loss=0.1891, simple_loss=0.2472, pruned_loss=0.06553, over 13462.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.08238, over 41.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3626, pruned_loss=0.1146, over 2774738.36 frames. utt_duration=237 frames, utt_pad_proportion=0.07078, over 47121.70 utterances.], batch size: 41, lr: 3.15e-04
+2022-09-18 06:10:39,807 INFO [train.py:885] (0/2) Epoch 15, batch 1550, loss[loss=0.2894, simple_loss=0.3704, pruned_loss=0.1041, over 14275.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.0402, over 225.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3619, pruned_loss=0.1149, over 2777036.85 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07135, over 46731.88 utterances.], batch size: 225, lr: 3.15e-04
+2022-09-18 06:11:10,192 INFO [train.py:885] (0/2) Epoch 15, batch 1600, loss[loss=0.2192, simple_loss=0.2992, pruned_loss=0.06961, over 14223.00 frames. utt_duration=640.9 frames, utt_pad_proportion=0.04493, over 89.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3649, pruned_loss=0.1175, over 2777258.34 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07291, over 47496.43 utterances.], batch size: 89, lr: 3.15e-04
+2022-09-18 06:11:39,652 INFO [train.py:885] (0/2) Epoch 15, batch 1650, loss[loss=0.3109, simple_loss=0.3678, pruned_loss=0.1269, over 14271.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04421, over 141.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3652, pruned_loss=0.1176, over 2776731.99 frames. utt_duration=236 frames, utt_pad_proportion=0.07363, over 47356.17 utterances.], batch size: 141, lr: 3.15e-04
+2022-09-18 06:12:09,171 INFO [train.py:885] (0/2) Epoch 15, batch 1700, loss[loss=0.3085, simple_loss=0.3694, pruned_loss=0.1238, over 14280.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.03998, over 180.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3694, pruned_loss=0.1187, over 2779113.90 frames. utt_duration=225.9 frames, utt_pad_proportion=0.0745, over 49525.92 utterances.], batch size: 180, lr: 3.15e-04
+2022-09-18 06:12:38,551 INFO [train.py:885] (0/2) Epoch 15, batch 1750, loss[loss=0.3227, simple_loss=0.3844, pruned_loss=0.1305, over 14400.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.03046, over 244.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3662, pruned_loss=0.1173, over 2775954.21 frames. utt_duration=227 frames, utt_pad_proportion=0.07492, over 49237.70 utterances.], batch size: 244, lr: 3.15e-04
+2022-09-18 06:13:08,244 INFO [train.py:885] (0/2) Epoch 15, batch 1800, loss[loss=0.2361, simple_loss=0.2881, pruned_loss=0.09205, over 13248.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09493, over 41.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3616, pruned_loss=0.1148, over 2778991.46 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07259, over 47088.42 utterances.], batch size: 41, lr: 3.15e-04
+2022-09-18 06:13:38,078 INFO [train.py:885] (0/2) Epoch 15, batch 1850, loss[loss=0.4986, simple_loss=0.5823, pruned_loss=0.2075, over 12498.00 frames. utt_duration=63.14 frames, utt_pad_proportion=0.1467, over 811.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3611, pruned_loss=0.1144, over 2778663.73 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07253, over 46779.24 utterances.], batch size: 811, lr: 3.15e-04
+2022-09-18 06:14:07,125 INFO [train.py:885] (0/2) Epoch 15, batch 1900, loss[loss=0.2301, simple_loss=0.2929, pruned_loss=0.08364, over 14046.00 frames. utt_duration=712.5 frames, utt_pad_proportion=0.05758, over 79.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3572, pruned_loss=0.1131, over 2780859.16 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07056, over 45136.30 utterances.], batch size: 79, lr: 3.15e-04
+2022-09-18 06:14:37,181 INFO [train.py:885] (0/2) Epoch 15, batch 1950, loss[loss=0.6927, simple_loss=0.7196, pruned_loss=0.3329, over 12451.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3618, pruned_loss=0.1159, over 2781938.79 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07174, over 46101.00 utterances.], batch size: 810, lr: 3.15e-04
+2022-09-18 06:15:06,203 INFO [train.py:885] (0/2) Epoch 15, batch 2000, loss[loss=0.2009, simple_loss=0.2573, pruned_loss=0.07222, over 12647.00 frames. utt_duration=2025 frames, utt_pad_proportion=0.1243, over 25.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3602, pruned_loss=0.1149, over 2784382.93 frames. utt_duration=247 frames, utt_pad_proportion=0.06993, over 45365.09 utterances.], batch size: 25, lr: 3.15e-04
+2022-09-18 06:15:36,372 INFO [train.py:885] (0/2) Epoch 15, batch 2050, loss[loss=0.3401, simple_loss=0.4001, pruned_loss=0.1401, over 14335.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03511, over 244.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3648, pruned_loss=0.1169, over 2786176.18 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07223, over 47007.38 utterances.], batch size: 244, lr: 3.15e-04
+2022-09-18 06:16:06,140 INFO [train.py:885] (0/2) Epoch 15, batch 2100, loss[loss=0.219, simple_loss=0.2902, pruned_loss=0.07386, over 13778.00 frames. utt_duration=920 frames, utt_pad_proportion=0.07634, over 60.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3619, pruned_loss=0.1149, over 2782531.80 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07155, over 46246.94 utterances.], batch size: 60, lr: 3.15e-04
+2022-09-18 06:16:35,414 INFO [train.py:885] (0/2) Epoch 15, batch 2150, loss[loss=0.1934, simple_loss=0.2171, pruned_loss=0.08487, over 13135.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1187, over 33.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3604, pruned_loss=0.1145, over 2775697.28 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07384, over 46184.42 utterances.], batch size: 33, lr: 3.15e-04
+2022-09-18 06:17:05,003 INFO [train.py:885] (0/2) Epoch 15, batch 2200, loss[loss=0.2934, simple_loss=0.3382, pruned_loss=0.1242, over 14144.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04671, over 109.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3596, pruned_loss=0.1142, over 2769945.95 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07368, over 46035.65 utterances.], batch size: 109, lr: 3.15e-04
+2022-09-18 06:17:34,065 INFO [train.py:885] (0/2) Epoch 15, batch 2250, loss[loss=0.2072, simple_loss=0.2396, pruned_loss=0.08744, over 13645.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08499, over 42.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3581, pruned_loss=0.1133, over 2774545.40 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07252, over 45588.20 utterances.], batch size: 42, lr: 3.15e-04
+2022-09-18 06:18:03,912 INFO [train.py:885] (0/2) Epoch 15, batch 2300, loss[loss=0.2012, simple_loss=0.2695, pruned_loss=0.06643, over 13932.00 frames. utt_duration=809.1 frames, utt_pad_proportion=0.05694, over 69.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3551, pruned_loss=0.1117, over 2774173.21 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0718, over 44787.59 utterances.], batch size: 69, lr: 3.15e-04
+2022-09-18 06:18:33,634 INFO [train.py:885] (0/2) Epoch 15, batch 2350, loss[loss=0.1931, simple_loss=0.2698, pruned_loss=0.05823, over 14229.00 frames. utt_duration=640.7 frames, utt_pad_proportion=0.04521, over 89.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3587, pruned_loss=0.1136, over 2774528.85 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07234, over 45897.83 utterances.], batch size: 89, lr: 3.15e-04
+2022-09-18 06:19:03,489 INFO [train.py:885] (0/2) Epoch 15, batch 2400, loss[loss=0.2043, simple_loss=0.2951, pruned_loss=0.05676, over 12846.00 frames. utt_duration=1977 frames, utt_pad_proportion=0.1141, over 26.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3594, pruned_loss=0.1136, over 2771582.71 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07328, over 46544.60 utterances.], batch size: 26, lr: 3.15e-04
+2022-09-18 06:19:32,527 INFO [train.py:885] (0/2) Epoch 15, batch 2450, loss[loss=0.2889, simple_loss=0.3531, pruned_loss=0.1124, over 14231.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04664, over 141.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3575, pruned_loss=0.1133, over 2778910.90 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07059, over 44462.57 utterances.], batch size: 141, lr: 3.15e-04
+2022-09-18 06:20:02,465 INFO [train.py:885] (0/2) Epoch 15, batch 2500, loss[loss=0.2048, simple_loss=0.277, pruned_loss=0.06627, over 14039.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.05396, over 79.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3586, pruned_loss=0.1132, over 2777163.28 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07181, over 45205.69 utterances.], batch size: 79, lr: 3.14e-04
+2022-09-18 06:20:32,800 INFO [train.py:885] (0/2) Epoch 15, batch 2550, loss[loss=0.6185, simple_loss=0.6721, pruned_loss=0.2825, over 12515.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1444, over 810.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3594, pruned_loss=0.1142, over 2776082.82 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07181, over 44954.01 utterances.], batch size: 810, lr: 3.14e-04
+2022-09-18 06:21:02,238 INFO [train.py:885] (0/2) Epoch 15, batch 2600, loss[loss=0.3074, simple_loss=0.3707, pruned_loss=0.122, over 14228.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04307, over 306.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3587, pruned_loss=0.114, over 2779702.88 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07107, over 44710.14 utterances.], batch size: 306, lr: 3.14e-04
+2022-09-18 06:21:32,131 INFO [train.py:885] (0/2) Epoch 15, batch 2650, loss[loss=0.2984, simple_loss=0.3639, pruned_loss=0.1164, over 14279.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.0395, over 130.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3586, pruned_loss=0.1128, over 2783660.47 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06971, over 45230.60 utterances.], batch size: 130, lr: 3.14e-04
+2022-09-18 06:22:01,423 INFO [train.py:885] (0/2) Epoch 15, batch 2700, loss[loss=0.2946, simple_loss=0.3597, pruned_loss=0.1148, over 14309.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03803, over 130.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3598, pruned_loss=0.1137, over 2785184.66 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07028, over 45496.61 utterances.], batch size: 130, lr: 3.14e-04
+2022-09-18 06:22:30,683 INFO [train.py:885] (0/2) Epoch 15, batch 2750, loss[loss=0.3455, simple_loss=0.419, pruned_loss=0.136, over 14009.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05521, over 365.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3561, pruned_loss=0.1117, over 2776934.88 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07197, over 44596.82 utterances.], batch size: 365, lr: 3.14e-04
+2022-09-18 06:23:00,271 INFO [train.py:885] (0/2) Epoch 15, batch 2800, loss[loss=0.2337, simple_loss=0.3023, pruned_loss=0.08257, over 14228.00 frames. utt_duration=641 frames, utt_pad_proportion=0.04473, over 89.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3573, pruned_loss=0.1124, over 2774541.30 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07171, over 45300.02 utterances.], batch size: 89, lr: 3.14e-04
+2022-09-18 06:23:30,321 INFO [train.py:885] (0/2) Epoch 15, batch 2850, loss[loss=0.2221, simple_loss=0.2745, pruned_loss=0.08489, over 13473.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.08992, over 50.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3583, pruned_loss=0.1125, over 2773987.16 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07259, over 46150.94 utterances.], batch size: 50, lr: 3.14e-04
+2022-09-18 06:23:59,432 INFO [train.py:885] (0/2) Epoch 15, batch 2900, loss[loss=0.3153, simple_loss=0.4008, pruned_loss=0.1149, over 13722.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07504, over 411.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3595, pruned_loss=0.1129, over 2773729.00 frames. utt_duration=238.4 frames, utt_pad_proportion=0.0722, over 46828.60 utterances.], batch size: 411, lr: 3.14e-04
+2022-09-18 06:24:28,850 INFO [train.py:885] (0/2) Epoch 15, batch 2950, loss[loss=0.354, simple_loss=0.4435, pruned_loss=0.1323, over 13640.00 frames. utt_duration=98.8 frames, utt_pad_proportion=0.07662, over 560.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3593, pruned_loss=0.113, over 2778185.53 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07071, over 46430.68 utterances.], batch size: 560, lr: 3.14e-04
+2022-09-18 06:24:59,467 INFO [train.py:885] (0/2) Epoch 15, batch 3000, loss[loss=0.2456, simple_loss=0.3222, pruned_loss=0.08452, over 14282.00 frames. utt_duration=441 frames, utt_pad_proportion=0.04137, over 130.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3605, pruned_loss=0.1139, over 2782553.78 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07001, over 46427.89 utterances.], batch size: 130, lr: 3.14e-04
+2022-09-18 06:24:59,469 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 06:25:04,148 INFO [train.py:914] (0/2) Epoch 15, validation: loss=0.2007, simple_loss=0.2803, pruned_loss=0.06056, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 06:25:33,840 INFO [train.py:885] (0/2) Epoch 15, batch 3050, loss[loss=0.1456, simple_loss=0.2019, pruned_loss=0.04462, over 13713.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08285, over 42.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.3584, pruned_loss=0.1127, over 2782964.87 frames. utt_duration=242.5 frames, utt_pad_proportion=0.0681, over 46192.33 utterances.], batch size: 42, lr: 3.14e-04
+2022-09-18 06:26:03,345 INFO [train.py:885] (0/2) Epoch 15, batch 3100, loss[loss=0.3001, simple_loss=0.3663, pruned_loss=0.1169, over 14323.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03713, over 180.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.361, pruned_loss=0.1137, over 2783649.70 frames. utt_duration=237.2 frames, utt_pad_proportion=0.06932, over 47240.07 utterances.], batch size: 180, lr: 3.14e-04
+2022-09-18 06:26:32,537 INFO [train.py:885] (0/2) Epoch 15, batch 3150, loss[loss=0.2012, simple_loss=0.2576, pruned_loss=0.07246, over 13478.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.08874, over 50.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3618, pruned_loss=0.1143, over 2786318.22 frames. utt_duration=237.7 frames, utt_pad_proportion=0.06886, over 47179.16 utterances.], batch size: 50, lr: 3.14e-04
+2022-09-18 06:27:02,833 INFO [train.py:885] (0/2) Epoch 15, batch 3200, loss[loss=0.2694, simple_loss=0.3212, pruned_loss=0.1088, over 14064.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05649, over 98.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3596, pruned_loss=0.1134, over 2783175.96 frames. utt_duration=240.6 frames, utt_pad_proportion=0.06907, over 46546.96 utterances.], batch size: 98, lr: 3.14e-04
+2022-09-18 06:27:32,004 INFO [train.py:885] (0/2) Epoch 15, batch 3250, loss[loss=0.3436, simple_loss=0.3964, pruned_loss=0.1455, over 14326.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03814, over 283.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3604, pruned_loss=0.1143, over 2783106.23 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06866, over 46452.77 utterances.], batch size: 283, lr: 3.14e-04
+2022-09-18 06:28:01,648 INFO [train.py:885] (0/2) Epoch 15, batch 3300, loss[loss=0.1641, simple_loss=0.2219, pruned_loss=0.05316, over 13452.00 frames. utt_duration=1283 frames, utt_pad_proportion=0.08495, over 42.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3571, pruned_loss=0.1125, over 2782530.70 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06918, over 45240.97 utterances.], batch size: 42, lr: 3.14e-04
+2022-09-18 06:28:14,133 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-180000.pt
+2022-09-18 06:28:31,509 INFO [train.py:885] (0/2) Epoch 15, batch 3350, loss[loss=0.285, simple_loss=0.3552, pruned_loss=0.1074, over 14291.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04198, over 154.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.36, pruned_loss=0.1135, over 2785970.69 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06856, over 46000.97 utterances.], batch size: 154, lr: 3.14e-04
+2022-09-18 06:29:01,184 INFO [train.py:885] (0/2) Epoch 15, batch 3400, loss[loss=0.3396, simple_loss=0.413, pruned_loss=0.1331, over 13975.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05755, over 365.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3591, pruned_loss=0.1129, over 2785968.05 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07033, over 45688.07 utterances.], batch size: 365, lr: 3.14e-04
+2022-09-18 06:29:31,194 INFO [train.py:885] (0/2) Epoch 15, batch 3450, loss[loss=0.1844, simple_loss=0.2396, pruned_loss=0.06458, over 13308.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.09163, over 41.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3607, pruned_loss=0.1135, over 2784910.93 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07134, over 46718.77 utterances.], batch size: 41, lr: 3.14e-04
+2022-09-18 06:30:00,939 INFO [train.py:885] (0/2) Epoch 15, batch 3500, loss[loss=0.3483, simple_loss=0.4036, pruned_loss=0.1465, over 14348.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03389, over 244.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3625, pruned_loss=0.1152, over 2779062.23 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07281, over 46680.27 utterances.], batch size: 244, lr: 3.14e-04
+2022-09-18 06:30:30,195 INFO [train.py:885] (0/2) Epoch 15, batch 3550, loss[loss=0.2288, simple_loss=0.2886, pruned_loss=0.08444, over 13593.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08372, over 50.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.363, pruned_loss=0.1153, over 2784804.86 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07101, over 46638.30 utterances.], batch size: 50, lr: 3.14e-04
+2022-09-18 06:30:59,815 INFO [train.py:885] (0/2) Epoch 15, batch 3600, loss[loss=0.2359, simple_loss=0.3143, pruned_loss=0.07873, over 14304.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03984, over 120.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3602, pruned_loss=0.1147, over 2786364.22 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07083, over 45279.82 utterances.], batch size: 120, lr: 3.14e-04
+2022-09-18 06:31:29,165 INFO [train.py:885] (0/2) Epoch 15, batch 3650, loss[loss=0.5664, simple_loss=0.6352, pruned_loss=0.2488, over 12451.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1478, over 810.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3609, pruned_loss=0.1155, over 2785357.12 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07312, over 45266.59 utterances.], batch size: 810, lr: 3.13e-04
+2022-09-18 06:31:58,687 INFO [train.py:885] (0/2) Epoch 15, batch 3700, loss[loss=0.3014, simple_loss=0.3769, pruned_loss=0.113, over 14338.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03493, over 244.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3633, pruned_loss=0.1161, over 2787544.87 frames. utt_duration=240.9 frames, utt_pad_proportion=0.0727, over 46578.27 utterances.], batch size: 244, lr: 3.13e-04
+2022-09-18 06:32:28,208 INFO [train.py:885] (0/2) Epoch 15, batch 3750, loss[loss=0.2484, simple_loss=0.3123, pruned_loss=0.09221, over 14295.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04023, over 120.00 utterances.], tot_loss[loss=0.296, simple_loss=0.362, pruned_loss=0.115, over 2789374.84 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07023, over 46479.57 utterances.], batch size: 120, lr: 3.13e-04
+2022-09-18 06:32:57,944 INFO [train.py:885] (0/2) Epoch 15, batch 3800, loss[loss=0.3312, simple_loss=0.3945, pruned_loss=0.134, over 14273.00 frames. utt_duration=203.1 frames, utt_pad_proportion=0.0418, over 283.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3629, pruned_loss=0.1161, over 2787695.97 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07101, over 46793.41 utterances.], batch size: 283, lr: 3.13e-04
+2022-09-18 06:33:28,208 INFO [train.py:885] (0/2) Epoch 15, batch 3850, loss[loss=0.2977, simple_loss=0.3799, pruned_loss=0.1077, over 13970.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05789, over 365.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3613, pruned_loss=0.1149, over 2789221.84 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06992, over 46305.24 utterances.], batch size: 365, lr: 3.13e-04
+2022-09-18 06:33:57,257 INFO [train.py:885] (0/2) Epoch 15, batch 3900, loss[loss=0.3116, simple_loss=0.3756, pruned_loss=0.1238, over 14288.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0392, over 225.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3578, pruned_loss=0.1133, over 2787907.56 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06825, over 44850.64 utterances.], batch size: 225, lr: 3.13e-04
+2022-09-18 06:34:26,699 INFO [train.py:885] (0/2) Epoch 15, batch 3950, loss[loss=0.1906, simple_loss=0.2432, pruned_loss=0.06907, over 13861.00 frames. utt_duration=804.9 frames, utt_pad_proportion=0.06194, over 69.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3561, pruned_loss=0.1123, over 2786528.65 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06941, over 44024.81 utterances.], batch size: 69, lr: 3.13e-04
+2022-09-18 06:34:55,706 INFO [train.py:885] (0/2) Epoch 15, batch 4000, loss[loss=0.2994, simple_loss=0.3954, pruned_loss=0.1017, over 13737.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07379, over 411.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3569, pruned_loss=0.1126, over 2781894.71 frames. utt_duration=249 frames, utt_pad_proportion=0.07037, over 44963.21 utterances.], batch size: 411, lr: 3.13e-04
+2022-09-18 06:35:25,360 INFO [train.py:885] (0/2) Epoch 15, batch 4050, loss[loss=0.2059, simple_loss=0.2823, pruned_loss=0.06474, over 14072.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.05971, over 70.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3549, pruned_loss=0.1126, over 2784172.26 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06866, over 43226.69 utterances.], batch size: 70, lr: 3.13e-04
+2022-09-18 06:35:55,387 INFO [train.py:885] (0/2) Epoch 15, batch 4100, loss[loss=0.2893, simple_loss=0.3673, pruned_loss=0.1057, over 14364.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03245, over 244.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3564, pruned_loss=0.1128, over 2780531.24 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07158, over 44460.67 utterances.], batch size: 244, lr: 3.13e-04
+2022-09-18 06:36:24,552 INFO [train.py:885] (0/2) Epoch 15, batch 4150, loss[loss=0.1845, simple_loss=0.2251, pruned_loss=0.07196, over 13378.00 frames. utt_duration=1623 frames, utt_pad_proportion=0.09783, over 33.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3548, pruned_loss=0.1122, over 2781948.92 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07067, over 43677.31 utterances.], batch size: 33, lr: 3.13e-04
+2022-09-18 06:36:54,303 INFO [train.py:885] (0/2) Epoch 15, batch 4200, loss[loss=0.3265, simple_loss=0.3739, pruned_loss=0.1396, over 14251.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04299, over 141.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3591, pruned_loss=0.1149, over 2785522.50 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07078, over 44675.45 utterances.], batch size: 141, lr: 3.13e-04
+2022-09-18 06:37:23,540 INFO [train.py:885] (0/2) Epoch 15, batch 4250, loss[loss=0.1975, simple_loss=0.2516, pruned_loss=0.07175, over 13228.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09632, over 41.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3587, pruned_loss=0.1141, over 2787109.00 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06925, over 44711.41 utterances.], batch size: 41, lr: 3.13e-04
+2022-09-18 06:37:53,182 INFO [train.py:885] (0/2) Epoch 15, batch 4300, loss[loss=0.215, simple_loss=0.2814, pruned_loss=0.07429, over 14109.00 frames. utt_duration=519.1 frames, utt_pad_proportion=0.0492, over 109.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3584, pruned_loss=0.1133, over 2790029.46 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06837, over 44965.65 utterances.], batch size: 109, lr: 3.13e-04
+2022-09-18 06:38:22,742 INFO [train.py:885] (0/2) Epoch 15, batch 4350, loss[loss=0.3492, simple_loss=0.4041, pruned_loss=0.1472, over 14229.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04351, over 335.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3589, pruned_loss=0.1138, over 2785373.84 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0705, over 45078.38 utterances.], batch size: 335, lr: 3.13e-04
+2022-09-18 06:38:53,057 INFO [train.py:885] (0/2) Epoch 15, batch 4400, loss[loss=0.2298, simple_loss=0.3046, pruned_loss=0.07748, over 14219.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04164, over 109.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3612, pruned_loss=0.1147, over 2784140.01 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07002, over 46177.43 utterances.], batch size: 109, lr: 3.13e-04
+2022-09-18 06:39:22,487 INFO [train.py:885] (0/2) Epoch 15, batch 4450, loss[loss=0.3156, simple_loss=0.4151, pruned_loss=0.108, over 13615.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08259, over 477.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3618, pruned_loss=0.1147, over 2781075.85 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07237, over 46741.88 utterances.], batch size: 477, lr: 3.13e-04
+2022-09-18 06:39:52,192 INFO [train.py:885] (0/2) Epoch 15, batch 4500, loss[loss=0.3339, simple_loss=0.4227, pruned_loss=0.1226, over 13639.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08066, over 477.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3595, pruned_loss=0.1134, over 2785223.10 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06966, over 45629.32 utterances.], batch size: 477, lr: 3.13e-04
+2022-09-18 06:40:21,761 INFO [train.py:885] (0/2) Epoch 15, batch 4550, loss[loss=0.1428, simple_loss=0.2097, pruned_loss=0.03794, over 12531.00 frames. utt_duration=2090 frames, utt_pad_proportion=0.1475, over 24.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3571, pruned_loss=0.1118, over 2779525.09 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07071, over 45339.70 utterances.], batch size: 24, lr: 3.13e-04
+2022-09-18 06:40:51,523 INFO [train.py:885] (0/2) Epoch 15, batch 4600, loss[loss=0.2541, simple_loss=0.3234, pruned_loss=0.09236, over 14138.00 frames. utt_duration=578.6 frames, utt_pad_proportion=0.05149, over 98.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3557, pruned_loss=0.1115, over 2778063.98 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07112, over 44755.44 utterances.], batch size: 98, lr: 3.13e-04
+2022-09-18 06:41:21,435 INFO [train.py:885] (0/2) Epoch 15, batch 4650, loss[loss=0.1558, simple_loss=0.2125, pruned_loss=0.04952, over 13236.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.105, over 33.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3543, pruned_loss=0.1117, over 2779468.27 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06953, over 43945.75 utterances.], batch size: 33, lr: 3.13e-04
+2022-09-18 06:41:50,379 INFO [train.py:885] (0/2) Epoch 15, batch 4700, loss[loss=0.2385, simple_loss=0.3071, pruned_loss=0.08495, over 14184.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04391, over 109.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3544, pruned_loss=0.1116, over 2779645.10 frames. utt_duration=256.4 frames, utt_pad_proportion=0.07024, over 43614.20 utterances.], batch size: 109, lr: 3.13e-04
+2022-09-18 06:42:19,566 INFO [train.py:885] (0/2) Epoch 15, batch 4750, loss[loss=0.1917, simple_loss=0.258, pruned_loss=0.06273, over 13875.00 frames. utt_duration=926.5 frames, utt_pad_proportion=0.06879, over 60.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.354, pruned_loss=0.1113, over 2783566.98 frames. utt_duration=264.2 frames, utt_pad_proportion=0.06847, over 42374.59 utterances.], batch size: 60, lr: 3.13e-04
+2022-09-18 06:42:49,604 INFO [train.py:885] (0/2) Epoch 15, batch 4800, loss[loss=0.1952, simple_loss=0.2819, pruned_loss=0.0543, over 13717.00 frames. utt_duration=915.9 frames, utt_pad_proportion=0.07296, over 60.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3582, pruned_loss=0.1125, over 2781076.12 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0705, over 45007.31 utterances.], batch size: 60, lr: 3.12e-04
+2022-09-18 06:43:19,633 INFO [train.py:885] (0/2) Epoch 15, batch 4850, loss[loss=0.1738, simple_loss=0.237, pruned_loss=0.05531, over 12997.00 frames. utt_duration=1577 frames, utt_pad_proportion=0.1264, over 33.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3614, pruned_loss=0.1141, over 2779989.00 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07155, over 46494.25 utterances.], batch size: 33, lr: 3.12e-04
+2022-09-18 06:43:48,712 INFO [train.py:885] (0/2) Epoch 15, batch 4900, loss[loss=0.2015, simple_loss=0.2679, pruned_loss=0.06755, over 13807.00 frames. utt_duration=921.9 frames, utt_pad_proportion=0.07259, over 60.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3585, pruned_loss=0.1129, over 2775100.75 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07209, over 45716.31 utterances.], batch size: 60, lr: 3.12e-04
+2022-09-18 06:44:18,357 INFO [train.py:885] (0/2) Epoch 15, batch 4950, loss[loss=0.3167, simple_loss=0.3818, pruned_loss=0.1258, over 14325.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03855, over 262.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3606, pruned_loss=0.1142, over 2783001.62 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07006, over 45663.99 utterances.], batch size: 262, lr: 3.12e-04
+2022-09-18 06:44:47,548 INFO [train.py:885] (0/2) Epoch 15, batch 5000, loss[loss=0.3774, simple_loss=0.4311, pruned_loss=0.1618, over 14220.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04379, over 335.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3623, pruned_loss=0.1151, over 2777851.31 frames. utt_duration=238 frames, utt_pad_proportion=0.07198, over 46975.63 utterances.], batch size: 335, lr: 3.12e-04
+2022-09-18 06:45:17,422 INFO [train.py:885] (0/2) Epoch 15, batch 5050, loss[loss=0.2152, simple_loss=0.282, pruned_loss=0.07427, over 13746.00 frames. utt_duration=917.8 frames, utt_pad_proportion=0.07759, over 60.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3639, pruned_loss=0.1159, over 2778351.85 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07204, over 47125.49 utterances.], batch size: 60, lr: 3.12e-04
+2022-09-18 06:45:46,373 INFO [train.py:885] (0/2) Epoch 15, batch 5100, loss[loss=0.3057, simple_loss=0.3744, pruned_loss=0.1185, over 14324.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03787, over 283.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3624, pruned_loss=0.1149, over 2777432.20 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07174, over 46236.96 utterances.], batch size: 283, lr: 3.12e-04
+2022-09-18 06:46:15,856 INFO [train.py:885] (0/2) Epoch 15, batch 5150, loss[loss=0.2538, simple_loss=0.3361, pruned_loss=0.08581, over 14255.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04157, over 180.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3613, pruned_loss=0.1156, over 2782976.31 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06991, over 45051.67 utterances.], batch size: 180, lr: 3.12e-04
+2022-09-18 06:46:45,983 INFO [train.py:885] (0/2) Epoch 15, batch 5200, loss[loss=0.3249, simple_loss=0.4008, pruned_loss=0.1245, over 13971.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05757, over 365.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3598, pruned_loss=0.1148, over 2781465.62 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07115, over 45177.25 utterances.], batch size: 365, lr: 3.12e-04
+2022-09-18 06:47:15,354 INFO [train.py:885] (0/2) Epoch 15, batch 5250, loss[loss=0.2305, simple_loss=0.2798, pruned_loss=0.09054, over 12181.00 frames. utt_duration=2031 frames, utt_pad_proportion=0.1575, over 24.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3565, pruned_loss=0.1134, over 2772339.33 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07379, over 44647.88 utterances.], batch size: 24, lr: 3.12e-04
+2022-09-18 06:47:45,676 INFO [train.py:885] (0/2) Epoch 15, batch 5300, loss[loss=0.1683, simple_loss=0.2323, pruned_loss=0.0522, over 13258.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1113, over 33.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3584, pruned_loss=0.1138, over 2768243.98 frames. utt_duration=240 frames, utt_pad_proportion=0.07569, over 46420.68 utterances.], batch size: 33, lr: 3.12e-04
+2022-09-18 06:48:14,874 INFO [train.py:885] (0/2) Epoch 15, batch 5350, loss[loss=0.2469, simple_loss=0.3163, pruned_loss=0.08874, over 14141.00 frames. utt_duration=578.9 frames, utt_pad_proportion=0.04948, over 98.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3569, pruned_loss=0.1125, over 2771365.61 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07553, over 46233.74 utterances.], batch size: 98, lr: 3.12e-04
+2022-09-18 06:48:44,340 INFO [train.py:885] (0/2) Epoch 15, batch 5400, loss[loss=0.3334, simple_loss=0.4265, pruned_loss=0.1201, over 13592.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07926, over 560.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3607, pruned_loss=0.1145, over 2773394.77 frames. utt_duration=235.6 frames, utt_pad_proportion=0.0758, over 47391.37 utterances.], batch size: 560, lr: 3.12e-04
+2022-09-18 06:49:13,349 INFO [train.py:885] (0/2) Epoch 15, batch 5450, loss[loss=0.2925, simple_loss=0.3601, pruned_loss=0.1125, over 14237.00 frames. utt_duration=317.9 frames, utt_pad_proportion=0.04244, over 180.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3594, pruned_loss=0.1139, over 2775653.88 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07596, over 46375.26 utterances.], batch size: 180, lr: 3.12e-04
+2022-09-18 06:49:43,473 INFO [train.py:885] (0/2) Epoch 15, batch 5500, loss[loss=0.4345, simple_loss=0.4513, pruned_loss=0.2088, over 14372.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.0346, over 210.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3619, pruned_loss=0.1154, over 2776796.56 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07408, over 46746.90 utterances.], batch size: 210, lr: 3.12e-04
+2022-09-18 06:50:13,116 INFO [train.py:885] (0/2) Epoch 15, batch 5550, loss[loss=0.3119, simple_loss=0.379, pruned_loss=0.1224, over 14325.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03837, over 262.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3621, pruned_loss=0.1149, over 2783369.24 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07118, over 46047.66 utterances.], batch size: 262, lr: 3.12e-04
+2022-09-18 06:50:42,771 INFO [train.py:885] (0/2) Epoch 15, batch 5600, loss[loss=0.3134, simple_loss=0.4107, pruned_loss=0.1081, over 13634.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08136, over 477.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3591, pruned_loss=0.1139, over 2783004.14 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06978, over 44719.11 utterances.], batch size: 477, lr: 3.12e-04
+2022-09-18 06:51:12,422 INFO [train.py:885] (0/2) Epoch 15, batch 5650, loss[loss=0.195, simple_loss=0.263, pruned_loss=0.06349, over 14102.00 frames. utt_duration=715.4 frames, utt_pad_proportion=0.05376, over 79.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3576, pruned_loss=0.1134, over 2783816.60 frames. utt_duration=255 frames, utt_pad_proportion=0.06952, over 43919.65 utterances.], batch size: 79, lr: 3.12e-04
+2022-09-18 06:51:41,451 INFO [train.py:885] (0/2) Epoch 15, batch 5700, loss[loss=0.3479, simple_loss=0.4012, pruned_loss=0.1472, over 14254.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04169, over 225.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3578, pruned_loss=0.1139, over 2781743.20 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06907, over 43300.91 utterances.], batch size: 225, lr: 3.12e-04
+2022-09-18 06:52:11,245 INFO [train.py:885] (0/2) Epoch 15, batch 5750, loss[loss=0.2818, simple_loss=0.3556, pruned_loss=0.104, over 14259.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.04434, over 154.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3595, pruned_loss=0.1145, over 2779904.78 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07025, over 44534.36 utterances.], batch size: 154, lr: 3.12e-04
+2022-09-18 06:52:41,486 INFO [train.py:885] (0/2) Epoch 15, batch 5800, loss[loss=0.344, simple_loss=0.4031, pruned_loss=0.1425, over 14238.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04259, over 335.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.363, pruned_loss=0.1158, over 2777668.82 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07208, over 46323.58 utterances.], batch size: 335, lr: 3.12e-04
+2022-09-18 06:53:10,511 INFO [train.py:885] (0/2) Epoch 15, batch 5850, loss[loss=0.1881, simple_loss=0.2521, pruned_loss=0.06209, over 13876.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.06192, over 69.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.356, pruned_loss=0.1126, over 2782222.12 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06881, over 43194.52 utterances.], batch size: 69, lr: 3.12e-04
+2022-09-18 06:53:40,341 INFO [train.py:885] (0/2) Epoch 15, batch 5900, loss[loss=0.3112, simple_loss=0.3818, pruned_loss=0.1203, over 14356.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03359, over 244.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3563, pruned_loss=0.1125, over 2787325.83 frames. utt_duration=261 frames, utt_pad_proportion=0.06734, over 42951.53 utterances.], batch size: 244, lr: 3.12e-04
+2022-09-18 06:54:10,582 INFO [train.py:885] (0/2) Epoch 15, batch 5950, loss[loss=0.3057, simple_loss=0.3942, pruned_loss=0.1086, over 13964.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05862, over 365.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3606, pruned_loss=0.1144, over 2781704.35 frames. utt_duration=245.2 frames, utt_pad_proportion=0.0717, over 45653.00 utterances.], batch size: 365, lr: 3.11e-04
+2022-09-18 06:54:40,746 INFO [train.py:885] (0/2) Epoch 15, batch 6000, loss[loss=0.2501, simple_loss=0.3323, pruned_loss=0.08398, over 14358.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03808, over 167.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3635, pruned_loss=0.1152, over 2782112.83 frames. utt_duration=237 frames, utt_pad_proportion=0.0729, over 47250.94 utterances.], batch size: 167, lr: 3.11e-04
+2022-09-18 06:54:40,748 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 06:54:45,781 INFO [train.py:914] (0/2) Epoch 15, validation: loss=0.1931, simple_loss=0.2739, pruned_loss=0.05617, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 06:55:15,305 INFO [train.py:885] (0/2) Epoch 15, batch 6050, loss[loss=0.3315, simple_loss=0.4228, pruned_loss=0.1201, over 13690.00 frames. utt_duration=99.17 frames, utt_pad_proportion=0.07318, over 560.00 utterances.], tot_loss[loss=0.292, simple_loss=0.3584, pruned_loss=0.1128, over 2777701.29 frames. utt_duration=244 frames, utt_pad_proportion=0.07315, over 45817.37 utterances.], batch size: 560, lr: 3.11e-04
+2022-09-18 06:55:44,657 INFO [train.py:885] (0/2) Epoch 15, batch 6100, loss[loss=0.2477, simple_loss=0.3149, pruned_loss=0.09023, over 14346.00 frames. utt_duration=479.7 frames, utt_pad_proportion=0.03668, over 120.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3584, pruned_loss=0.1122, over 2778030.57 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07306, over 46150.43 utterances.], batch size: 120, lr: 3.11e-04
+2022-09-18 06:56:13,925 INFO [train.py:885] (0/2) Epoch 15, batch 6150, loss[loss=0.4508, simple_loss=0.4794, pruned_loss=0.2111, over 14189.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04532, over 306.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3568, pruned_loss=0.1121, over 2776718.00 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07164, over 44705.22 utterances.], batch size: 306, lr: 3.11e-04
+2022-09-18 06:56:42,789 INFO [train.py:885] (0/2) Epoch 15, batch 6200, loss[loss=0.3105, simple_loss=0.3737, pruned_loss=0.1236, over 14337.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03702, over 195.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3512, pruned_loss=0.1094, over 2773143.88 frames. utt_duration=262.8 frames, utt_pad_proportion=0.06999, over 42443.01 utterances.], batch size: 195, lr: 3.11e-04
+2022-09-18 06:57:12,088 INFO [train.py:885] (0/2) Epoch 15, batch 6250, loss[loss=0.212, simple_loss=0.2609, pruned_loss=0.08151, over 12347.00 frames. utt_duration=1977 frames, utt_pad_proportion=0.1511, over 25.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3501, pruned_loss=0.1087, over 2774747.21 frames. utt_duration=263.8 frames, utt_pad_proportion=0.06907, over 42308.43 utterances.], batch size: 25, lr: 3.11e-04
+2022-09-18 06:57:42,552 INFO [train.py:885] (0/2) Epoch 15, batch 6300, loss[loss=0.524, simple_loss=0.6097, pruned_loss=0.2191, over 12463.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.1471, over 810.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3535, pruned_loss=0.1098, over 2777806.14 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06941, over 44187.77 utterances.], batch size: 810, lr: 3.11e-04
+2022-09-18 06:58:11,796 INFO [train.py:885] (0/2) Epoch 15, batch 6350, loss[loss=0.2719, simple_loss=0.336, pruned_loss=0.1039, over 14269.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.04087, over 154.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3523, pruned_loss=0.1092, over 2779966.15 frames. utt_duration=256 frames, utt_pad_proportion=0.06892, over 43695.14 utterances.], batch size: 154, lr: 3.11e-04
+2022-09-18 06:58:41,843 INFO [train.py:885] (0/2) Epoch 15, batch 6400, loss[loss=0.4379, simple_loss=0.4725, pruned_loss=0.2017, over 14199.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.0453, over 306.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3569, pruned_loss=0.1124, over 2780603.92 frames. utt_duration=252.4 frames, utt_pad_proportion=0.0705, over 44322.82 utterances.], batch size: 306, lr: 3.11e-04
+2022-09-18 06:59:10,827 INFO [train.py:885] (0/2) Epoch 15, batch 6450, loss[loss=0.2865, simple_loss=0.3617, pruned_loss=0.1056, over 14251.00 frames. utt_duration=371.7 frames, utt_pad_proportion=0.04204, over 154.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3555, pruned_loss=0.1112, over 2782598.59 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06854, over 44357.47 utterances.], batch size: 154, lr: 3.11e-04
+2022-09-18 06:59:40,480 INFO [train.py:885] (0/2) Epoch 15, batch 6500, loss[loss=0.6811, simple_loss=0.7031, pruned_loss=0.3295, over 12602.00 frames. utt_duration=63.67 frames, utt_pad_proportion=0.1396, over 811.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3595, pruned_loss=0.1134, over 2781918.05 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07064, over 45891.01 utterances.], batch size: 811, lr: 3.11e-04
+2022-09-18 07:00:09,954 INFO [train.py:885] (0/2) Epoch 15, batch 6550, loss[loss=0.1984, simple_loss=0.2616, pruned_loss=0.0676, over 13551.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08467, over 50.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3611, pruned_loss=0.1138, over 2783556.67 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07104, over 46839.90 utterances.], batch size: 50, lr: 3.11e-04
+2022-09-18 07:00:39,826 INFO [train.py:885] (0/2) Epoch 15, batch 6600, loss[loss=0.25, simple_loss=0.3053, pruned_loss=0.09737, over 14073.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05449, over 98.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3576, pruned_loss=0.112, over 2783809.31 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07163, over 45547.38 utterances.], batch size: 98, lr: 3.11e-04
+2022-09-18 07:01:09,657 INFO [train.py:885] (0/2) Epoch 15, batch 6650, loss[loss=0.3022, simple_loss=0.3694, pruned_loss=0.1174, over 14380.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03434, over 210.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.359, pruned_loss=0.1122, over 2786496.75 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07005, over 45643.73 utterances.], batch size: 210, lr: 3.11e-04
+2022-09-18 07:01:39,048 INFO [train.py:885] (0/2) Epoch 15, batch 6700, loss[loss=0.2099, simple_loss=0.2874, pruned_loss=0.06626, over 13850.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06367, over 69.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3602, pruned_loss=0.1126, over 2785337.93 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07136, over 46338.87 utterances.], batch size: 69, lr: 3.11e-04
+2022-09-18 07:02:09,314 INFO [train.py:885] (0/2) Epoch 15, batch 6750, loss[loss=0.2966, simple_loss=0.3917, pruned_loss=0.1007, over 13768.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07191, over 411.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3646, pruned_loss=0.1151, over 2782474.44 frames. utt_duration=235 frames, utt_pad_proportion=0.07154, over 47656.20 utterances.], batch size: 411, lr: 3.11e-04
+2022-09-18 07:02:38,681 INFO [train.py:885] (0/2) Epoch 15, batch 6800, loss[loss=0.2146, simple_loss=0.2675, pruned_loss=0.08083, over 12307.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.1676, over 24.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3617, pruned_loss=0.1127, over 2779839.19 frames. utt_duration=234.9 frames, utt_pad_proportion=0.0724, over 47628.19 utterances.], batch size: 24, lr: 3.11e-04
+2022-09-18 07:03:07,995 INFO [train.py:885] (0/2) Epoch 15, batch 6850, loss[loss=0.3611, simple_loss=0.4068, pruned_loss=0.1578, over 14279.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.04, over 225.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3614, pruned_loss=0.1126, over 2780132.82 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07266, over 47585.81 utterances.], batch size: 225, lr: 3.11e-04
+2022-09-18 07:03:37,625 INFO [train.py:885] (0/2) Epoch 15, batch 6900, loss[loss=0.2435, simple_loss=0.3069, pruned_loss=0.09005, over 14084.00 frames. utt_duration=634.4 frames, utt_pad_proportion=0.05454, over 89.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3631, pruned_loss=0.1142, over 2781375.48 frames. utt_duration=233.3 frames, utt_pad_proportion=0.0713, over 47998.23 utterances.], batch size: 89, lr: 3.11e-04
+2022-09-18 07:04:06,990 INFO [train.py:885] (0/2) Epoch 15, batch 6950, loss[loss=0.2321, simple_loss=0.2867, pruned_loss=0.08875, over 12528.00 frames. utt_duration=2006 frames, utt_pad_proportion=0.143, over 25.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3626, pruned_loss=0.115, over 2780083.10 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07263, over 47520.27 utterances.], batch size: 25, lr: 3.11e-04
+2022-09-18 07:04:36,737 INFO [train.py:885] (0/2) Epoch 15, batch 7000, loss[loss=0.2115, simple_loss=0.2711, pruned_loss=0.07597, over 13122.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1124, over 33.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3638, pruned_loss=0.1156, over 2778469.79 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07323, over 48320.27 utterances.], batch size: 33, lr: 3.11e-04
+2022-09-18 07:05:06,191 INFO [train.py:885] (0/2) Epoch 15, batch 7050, loss[loss=0.281, simple_loss=0.3375, pruned_loss=0.1122, over 14122.00 frames. utt_duration=519.8 frames, utt_pad_proportion=0.04801, over 109.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3649, pruned_loss=0.1167, over 2776813.53 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07345, over 48126.24 utterances.], batch size: 109, lr: 3.11e-04
+2022-09-18 07:05:35,828 INFO [train.py:885] (0/2) Epoch 15, batch 7100, loss[loss=0.3408, simple_loss=0.4344, pruned_loss=0.1236, over 13630.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.077, over 560.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3613, pruned_loss=0.1148, over 2777886.53 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07323, over 46915.34 utterances.], batch size: 560, lr: 3.11e-04
+2022-09-18 07:06:05,561 INFO [train.py:885] (0/2) Epoch 15, batch 7150, loss[loss=0.3388, simple_loss=0.4168, pruned_loss=0.1304, over 13793.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07212, over 412.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3602, pruned_loss=0.1143, over 2781920.00 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07197, over 45798.25 utterances.], batch size: 412, lr: 3.10e-04
+2022-09-18 07:06:35,060 INFO [train.py:885] (0/2) Epoch 15, batch 7200, loss[loss=0.1509, simple_loss=0.2167, pruned_loss=0.04256, over 13214.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1063, over 33.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3587, pruned_loss=0.1135, over 2784234.48 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06993, over 45210.56 utterances.], batch size: 33, lr: 3.10e-04
+2022-09-18 07:07:04,903 INFO [train.py:885] (0/2) Epoch 15, batch 7250, loss[loss=0.4476, simple_loss=0.4685, pruned_loss=0.2134, over 14362.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.035, over 226.00 utterances.], tot_loss[loss=0.296, simple_loss=0.361, pruned_loss=0.1155, over 2779000.59 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07232, over 45972.43 utterances.], batch size: 226, lr: 3.10e-04
+2022-09-18 07:07:34,260 INFO [train.py:885] (0/2) Epoch 15, batch 7300, loss[loss=0.1168, simple_loss=0.1742, pruned_loss=0.02966, over 12456.00 frames. utt_duration=2078 frames, utt_pad_proportion=0.1663, over 24.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3597, pruned_loss=0.1151, over 2775101.96 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07257, over 45516.83 utterances.], batch size: 24, lr: 3.10e-04
+2022-09-18 07:07:46,726 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-184000.pt
+2022-09-18 07:08:04,614 INFO [train.py:885] (0/2) Epoch 15, batch 7350, loss[loss=0.2099, simple_loss=0.2814, pruned_loss=0.06926, over 14239.00 frames. utt_duration=641.5 frames, utt_pad_proportion=0.04535, over 89.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3614, pruned_loss=0.1147, over 2773599.27 frames. utt_duration=238 frames, utt_pad_proportion=0.07292, over 46904.71 utterances.], batch size: 89, lr: 3.10e-04
+2022-09-18 07:08:34,002 INFO [train.py:885] (0/2) Epoch 15, batch 7400, loss[loss=0.2145, simple_loss=0.2718, pruned_loss=0.07862, over 13288.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09234, over 41.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3589, pruned_loss=0.1138, over 2779969.00 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06931, over 45518.01 utterances.], batch size: 41, lr: 3.10e-04
+2022-09-18 07:09:03,051 INFO [train.py:885] (0/2) Epoch 15, batch 7450, loss[loss=0.35, simple_loss=0.4004, pruned_loss=0.1499, over 14329.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03895, over 262.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3546, pruned_loss=0.1115, over 2779533.09 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06708, over 43422.42 utterances.], batch size: 262, lr: 3.10e-04
+2022-09-18 07:09:33,001 INFO [train.py:885] (0/2) Epoch 15, batch 7500, loss[loss=0.2912, simple_loss=0.376, pruned_loss=0.1032, over 14241.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04272, over 225.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3545, pruned_loss=0.1109, over 2782505.04 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06736, over 43466.09 utterances.], batch size: 225, lr: 3.10e-04
+2022-09-18 07:10:01,982 INFO [train.py:885] (0/2) Epoch 15, batch 7550, loss[loss=0.1893, simple_loss=0.2598, pruned_loss=0.05939, over 12927.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1371, over 25.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3544, pruned_loss=0.1105, over 2781838.11 frames. utt_duration=258.1 frames, utt_pad_proportion=0.0675, over 43361.24 utterances.], batch size: 25, lr: 3.10e-04
+2022-09-18 07:10:31,672 INFO [train.py:885] (0/2) Epoch 15, batch 7600, loss[loss=0.3347, simple_loss=0.3945, pruned_loss=0.1374, over 14297.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04017, over 283.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3552, pruned_loss=0.1114, over 2785312.94 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06612, over 43569.30 utterances.], batch size: 283, lr: 3.10e-04
+2022-09-18 07:11:01,310 INFO [train.py:885] (0/2) Epoch 15, batch 7650, loss[loss=0.2121, simple_loss=0.2831, pruned_loss=0.07052, over 14098.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05418, over 98.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3529, pruned_loss=0.1103, over 2787211.76 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06605, over 42842.91 utterances.], batch size: 98, lr: 3.10e-04
+2022-09-18 07:11:31,247 INFO [train.py:885] (0/2) Epoch 15, batch 7700, loss[loss=0.327, simple_loss=0.3875, pruned_loss=0.1333, over 14378.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03157, over 244.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3536, pruned_loss=0.1109, over 2787393.94 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06711, over 43046.66 utterances.], batch size: 244, lr: 3.10e-04
+2022-09-18 07:12:01,360 INFO [train.py:885] (0/2) Epoch 15, batch 7750, loss[loss=0.2129, simple_loss=0.288, pruned_loss=0.06893, over 14130.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05216, over 98.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3558, pruned_loss=0.1122, over 2786537.18 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06849, over 43919.56 utterances.], batch size: 98, lr: 3.10e-04
+2022-09-18 07:12:30,683 INFO [train.py:885] (0/2) Epoch 15, batch 7800, loss[loss=0.2823, simple_loss=0.3583, pruned_loss=0.1032, over 14275.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04033, over 180.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3546, pruned_loss=0.1107, over 2784561.16 frames. utt_duration=256 frames, utt_pad_proportion=0.06919, over 43768.50 utterances.], batch size: 180, lr: 3.10e-04
+2022-09-18 07:12:59,564 INFO [train.py:885] (0/2) Epoch 15, batch 7850, loss[loss=0.1845, simple_loss=0.244, pruned_loss=0.0625, over 13562.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.08625, over 42.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3534, pruned_loss=0.1104, over 2786604.68 frames. utt_duration=261 frames, utt_pad_proportion=0.0687, over 42952.84 utterances.], batch size: 42, lr: 3.10e-04
+2022-09-18 07:13:29,473 INFO [train.py:885] (0/2) Epoch 15, batch 7900, loss[loss=0.3936, simple_loss=0.4676, pruned_loss=0.1598, over 13601.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07927, over 560.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3561, pruned_loss=0.1118, over 2790331.47 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06903, over 43809.73 utterances.], batch size: 560, lr: 3.10e-04
+2022-09-18 07:13:58,901 INFO [train.py:885] (0/2) Epoch 15, batch 7950, loss[loss=0.1779, simple_loss=0.2435, pruned_loss=0.05621, over 13765.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.07968, over 42.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3534, pruned_loss=0.1102, over 2787738.96 frames. utt_duration=259.2 frames, utt_pad_proportion=0.06864, over 43263.65 utterances.], batch size: 42, lr: 3.10e-04
+2022-09-18 07:14:27,739 INFO [train.py:885] (0/2) Epoch 15, batch 8000, loss[loss=0.3831, simple_loss=0.4273, pruned_loss=0.1694, over 14285.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03969, over 180.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3532, pruned_loss=0.1109, over 2785302.19 frames. utt_duration=263.3 frames, utt_pad_proportion=0.06837, over 42548.92 utterances.], batch size: 180, lr: 3.10e-04
+2022-09-18 07:14:58,053 INFO [train.py:885] (0/2) Epoch 15, batch 8050, loss[loss=0.3552, simple_loss=0.4491, pruned_loss=0.1307, over 13621.00 frames. utt_duration=98.77 frames, utt_pad_proportion=0.0769, over 560.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3541, pruned_loss=0.111, over 2785759.93 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06696, over 43355.48 utterances.], batch size: 560, lr: 3.10e-04
+2022-09-18 07:15:27,690 INFO [train.py:885] (0/2) Epoch 15, batch 8100, loss[loss=0.2002, simple_loss=0.2735, pruned_loss=0.06344, over 14172.00 frames. utt_duration=638.5 frames, utt_pad_proportion=0.04844, over 89.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3562, pruned_loss=0.1119, over 2785047.20 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06959, over 44521.27 utterances.], batch size: 89, lr: 3.10e-04
+2022-09-18 07:15:57,028 INFO [train.py:885] (0/2) Epoch 15, batch 8150, loss[loss=0.3371, simple_loss=0.3947, pruned_loss=0.1398, over 14293.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03984, over 283.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3546, pruned_loss=0.1107, over 2782871.46 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06933, over 44462.36 utterances.], batch size: 283, lr: 3.10e-04
+2022-09-18 07:16:26,605 INFO [train.py:885] (0/2) Epoch 15, batch 8200, loss[loss=0.1737, simple_loss=0.2351, pruned_loss=0.05619, over 13567.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08749, over 50.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.35, pruned_loss=0.1081, over 2779286.19 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06839, over 42889.77 utterances.], batch size: 50, lr: 3.10e-04
+2022-09-18 07:16:55,630 INFO [train.py:885] (0/2) Epoch 15, batch 8250, loss[loss=0.2852, simple_loss=0.3483, pruned_loss=0.111, over 14181.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04424, over 109.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.35, pruned_loss=0.1083, over 2782164.70 frames. utt_duration=262.2 frames, utt_pad_proportion=0.06743, over 42681.17 utterances.], batch size: 109, lr: 3.10e-04
+2022-09-18 07:17:25,427 INFO [train.py:885] (0/2) Epoch 15, batch 8300, loss[loss=0.3453, simple_loss=0.402, pruned_loss=0.1443, over 14334.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.0382, over 262.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3546, pruned_loss=0.1114, over 2781792.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06829, over 43925.17 utterances.], batch size: 262, lr: 3.10e-04
+2022-09-18 07:17:55,327 INFO [train.py:885] (0/2) Epoch 15, batch 8350, loss[loss=0.3728, simple_loss=0.4207, pruned_loss=0.1625, over 14251.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04221, over 335.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3582, pruned_loss=0.1132, over 2781788.54 frames. utt_duration=246 frames, utt_pad_proportion=0.07174, over 45505.53 utterances.], batch size: 335, lr: 3.09e-04
+2022-09-18 07:18:24,868 INFO [train.py:885] (0/2) Epoch 15, batch 8400, loss[loss=0.3139, simple_loss=0.3714, pruned_loss=0.1282, over 14371.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03718, over 167.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3552, pruned_loss=0.112, over 2782269.61 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06942, over 44361.03 utterances.], batch size: 167, lr: 3.09e-04
+2022-09-18 07:18:54,722 INFO [train.py:885] (0/2) Epoch 15, batch 8450, loss[loss=0.2675, simple_loss=0.3242, pruned_loss=0.1054, over 14141.00 frames. utt_duration=578.8 frames, utt_pad_proportion=0.04966, over 98.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3552, pruned_loss=0.1123, over 2780643.73 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07009, over 44065.11 utterances.], batch size: 98, lr: 3.09e-04
+2022-09-18 07:19:24,110 INFO [train.py:885] (0/2) Epoch 15, batch 8500, loss[loss=0.4353, simple_loss=0.5005, pruned_loss=0.185, over 13699.00 frames. utt_duration=116.4 frames, utt_pad_proportion=0.07654, over 477.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.358, pruned_loss=0.1137, over 2780765.68 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07083, over 44795.60 utterances.], batch size: 477, lr: 3.09e-04
+2022-09-18 07:19:53,451 INFO [train.py:885] (0/2) Epoch 15, batch 8550, loss[loss=0.362, simple_loss=0.4404, pruned_loss=0.1418, over 13617.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08224, over 477.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3551, pruned_loss=0.1116, over 2781551.98 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07051, over 44223.45 utterances.], batch size: 477, lr: 3.09e-04
+2022-09-18 07:20:23,031 INFO [train.py:885] (0/2) Epoch 15, batch 8600, loss[loss=0.1997, simple_loss=0.2609, pruned_loss=0.06926, over 11900.00 frames. utt_duration=1985 frames, utt_pad_proportion=0.1812, over 24.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3557, pruned_loss=0.1123, over 2780377.49 frames. utt_duration=252.8 frames, utt_pad_proportion=0.0711, over 44244.75 utterances.], batch size: 24, lr: 3.09e-04
+2022-09-18 07:20:52,244 INFO [train.py:885] (0/2) Epoch 15, batch 8650, loss[loss=0.1557, simple_loss=0.2074, pruned_loss=0.05198, over 12978.00 frames. utt_duration=1575 frames, utt_pad_proportion=0.1168, over 33.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3533, pruned_loss=0.1113, over 2783474.20 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06822, over 43470.67 utterances.], batch size: 33, lr: 3.09e-04
+2022-09-18 07:21:21,699 INFO [train.py:885] (0/2) Epoch 15, batch 8700, loss[loss=0.2884, simple_loss=0.3579, pruned_loss=0.1095, over 14321.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03722, over 154.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3504, pruned_loss=0.1093, over 2784739.27 frames. utt_duration=263.5 frames, utt_pad_proportion=0.06762, over 42510.56 utterances.], batch size: 154, lr: 3.09e-04
+2022-09-18 07:21:52,026 INFO [train.py:885] (0/2) Epoch 15, batch 8750, loss[loss=0.2827, simple_loss=0.3578, pruned_loss=0.1038, over 14321.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.0409, over 167.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3534, pruned_loss=0.1103, over 2788474.86 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06844, over 43627.59 utterances.], batch size: 167, lr: 3.09e-04
+2022-09-18 07:22:21,516 INFO [train.py:885] (0/2) Epoch 15, batch 8800, loss[loss=0.4444, simple_loss=0.5468, pruned_loss=0.171, over 12480.00 frames. utt_duration=63.19 frames, utt_pad_proportion=0.1461, over 810.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3578, pruned_loss=0.112, over 2786678.74 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07068, over 45730.98 utterances.], batch size: 810, lr: 3.09e-04
+2022-09-18 07:22:51,054 INFO [train.py:885] (0/2) Epoch 15, batch 8850, loss[loss=0.2393, simple_loss=0.3178, pruned_loss=0.08036, over 14257.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04509, over 141.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3576, pruned_loss=0.1111, over 2784567.63 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07234, over 45788.30 utterances.], batch size: 141, lr: 3.09e-04
+2022-09-18 07:23:20,499 INFO [train.py:885] (0/2) Epoch 15, batch 8900, loss[loss=0.2522, simple_loss=0.3155, pruned_loss=0.09448, over 14081.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05373, over 98.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3588, pruned_loss=0.1121, over 2787904.32 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06959, over 45765.40 utterances.], batch size: 98, lr: 3.09e-04
+2022-09-18 07:23:49,668 INFO [train.py:885] (0/2) Epoch 15, batch 8950, loss[loss=0.1429, simple_loss=0.1892, pruned_loss=0.04827, over 13797.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.07636, over 42.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3592, pruned_loss=0.1129, over 2785960.82 frames. utt_duration=245 frames, utt_pad_proportion=0.07222, over 45765.99 utterances.], batch size: 42, lr: 3.09e-04
+2022-09-18 07:24:19,755 INFO [train.py:885] (0/2) Epoch 15, batch 9000, loss[loss=0.1918, simple_loss=0.2494, pruned_loss=0.06706, over 12312.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.1673, over 24.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3596, pruned_loss=0.114, over 2780704.41 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07325, over 46024.39 utterances.], batch size: 24, lr: 3.09e-04
+2022-09-18 07:24:19,757 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 07:24:24,405 INFO [train.py:914] (0/2) Epoch 15, validation: loss=0.193, simple_loss=0.2721, pruned_loss=0.05698, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 07:24:54,471 INFO [train.py:885] (0/2) Epoch 15, batch 9050, loss[loss=0.2563, simple_loss=0.325, pruned_loss=0.0938, over 14286.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04182, over 154.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3563, pruned_loss=0.1123, over 2779151.33 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07275, over 45044.43 utterances.], batch size: 154, lr: 3.09e-04
+2022-09-18 07:25:23,980 INFO [train.py:885] (0/2) Epoch 15, batch 9100, loss[loss=0.1814, simple_loss=0.2391, pruned_loss=0.06184, over 12354.00 frames. utt_duration=2060 frames, utt_pad_proportion=0.1679, over 24.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3566, pruned_loss=0.1119, over 2777382.09 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07357, over 45110.92 utterances.], batch size: 24, lr: 3.09e-04
+2022-09-18 07:25:53,519 INFO [train.py:885] (0/2) Epoch 15, batch 9150, loss[loss=0.3163, simple_loss=0.3799, pruned_loss=0.1263, over 14364.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03743, over 167.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3566, pruned_loss=0.1119, over 2778913.53 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07238, over 44713.71 utterances.], batch size: 167, lr: 3.09e-04
+2022-09-18 07:26:23,206 INFO [train.py:885] (0/2) Epoch 15, batch 9200, loss[loss=0.3595, simple_loss=0.4642, pruned_loss=0.1274, over 13173.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3572, pruned_loss=0.1122, over 2780288.60 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07268, over 45261.20 utterances.], batch size: 653, lr: 3.09e-04
+2022-09-18 07:26:53,448 INFO [train.py:885] (0/2) Epoch 15, batch 9250, loss[loss=0.2714, simple_loss=0.3464, pruned_loss=0.09818, over 14276.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04043, over 180.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3604, pruned_loss=0.114, over 2780732.69 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07238, over 46980.02 utterances.], batch size: 180, lr: 3.09e-04
+2022-09-18 07:27:22,574 INFO [train.py:885] (0/2) Epoch 15, batch 9300, loss[loss=0.3148, simple_loss=0.3684, pruned_loss=0.1306, over 14338.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.0396, over 167.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3638, pruned_loss=0.116, over 2778121.24 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07318, over 47959.78 utterances.], batch size: 167, lr: 3.09e-04
+2022-09-18 07:27:52,378 INFO [train.py:885] (0/2) Epoch 15, batch 9350, loss[loss=0.3649, simple_loss=0.4179, pruned_loss=0.156, over 14212.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04407, over 306.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3627, pruned_loss=0.1158, over 2778069.11 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07352, over 46966.47 utterances.], batch size: 306, lr: 3.09e-04
+2022-09-18 07:28:22,061 INFO [train.py:885] (0/2) Epoch 15, batch 9400, loss[loss=0.1694, simple_loss=0.2335, pruned_loss=0.05261, over 13856.00 frames. utt_duration=925.2 frames, utt_pad_proportion=0.07012, over 60.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3609, pruned_loss=0.1145, over 2776578.20 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07305, over 46455.43 utterances.], batch size: 60, lr: 3.09e-04
+2022-09-18 07:28:51,674 INFO [train.py:885] (0/2) Epoch 15, batch 9450, loss[loss=0.2653, simple_loss=0.3334, pruned_loss=0.09858, over 14120.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.05136, over 98.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.361, pruned_loss=0.1149, over 2778952.55 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07329, over 46438.88 utterances.], batch size: 98, lr: 3.09e-04
+2022-09-18 07:29:21,186 INFO [train.py:885] (0/2) Epoch 15, batch 9500, loss[loss=0.2406, simple_loss=0.3098, pruned_loss=0.08574, over 14101.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05415, over 98.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3611, pruned_loss=0.1153, over 2775831.76 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07428, over 46496.05 utterances.], batch size: 98, lr: 3.09e-04
+2022-09-18 07:29:50,907 INFO [train.py:885] (0/2) Epoch 15, batch 9550, loss[loss=0.2192, simple_loss=0.2851, pruned_loss=0.07671, over 14014.00 frames. utt_duration=573.6 frames, utt_pad_proportion=0.05812, over 98.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3558, pruned_loss=0.1126, over 2778482.82 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07176, over 44225.81 utterances.], batch size: 98, lr: 3.08e-04
+2022-09-18 07:30:20,143 INFO [train.py:885] (0/2) Epoch 15, batch 9600, loss[loss=0.1804, simple_loss=0.2461, pruned_loss=0.05736, over 13481.00 frames. utt_duration=1317 frames, utt_pad_proportion=0.08061, over 41.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3543, pruned_loss=0.1107, over 2777041.59 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07077, over 44187.77 utterances.], batch size: 41, lr: 3.08e-04
+2022-09-18 07:30:49,800 INFO [train.py:885] (0/2) Epoch 15, batch 9650, loss[loss=0.2022, simple_loss=0.2752, pruned_loss=0.06462, over 13737.00 frames. utt_duration=917.4 frames, utt_pad_proportion=0.07524, over 60.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.357, pruned_loss=0.1119, over 2775366.17 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07239, over 45492.71 utterances.], batch size: 60, lr: 3.08e-04
+2022-09-18 07:31:20,369 INFO [train.py:885] (0/2) Epoch 15, batch 9700, loss[loss=0.2791, simple_loss=0.3445, pruned_loss=0.1068, over 14148.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04676, over 109.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3589, pruned_loss=0.1127, over 2775587.96 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07169, over 46284.91 utterances.], batch size: 109, lr: 3.08e-04
+2022-09-18 07:31:50,325 INFO [train.py:885] (0/2) Epoch 15, batch 9750, loss[loss=0.3464, simple_loss=0.4106, pruned_loss=0.1411, over 14368.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0368, over 244.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3588, pruned_loss=0.1122, over 2775542.24 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0737, over 46514.12 utterances.], batch size: 244, lr: 3.08e-04
+2022-09-18 07:32:19,422 INFO [train.py:885] (0/2) Epoch 15, batch 9800, loss[loss=0.2634, simple_loss=0.3458, pruned_loss=0.09055, over 14339.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03933, over 167.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3565, pruned_loss=0.1116, over 2780001.35 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07108, over 44592.77 utterances.], batch size: 167, lr: 3.08e-04
+2022-09-18 07:32:48,973 INFO [train.py:885] (0/2) Epoch 15, batch 9850, loss[loss=0.13, simple_loss=0.1868, pruned_loss=0.03657, over 12356.00 frames. utt_duration=2060 frames, utt_pad_proportion=0.1566, over 24.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3577, pruned_loss=0.1115, over 2779705.85 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07266, over 45403.97 utterances.], batch size: 24, lr: 3.08e-04
+2022-09-18 07:33:18,467 INFO [train.py:885] (0/2) Epoch 15, batch 9900, loss[loss=0.1882, simple_loss=0.2575, pruned_loss=0.0595, over 13917.00 frames. utt_duration=929.1 frames, utt_pad_proportion=0.0662, over 60.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3544, pruned_loss=0.11, over 2777595.31 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07335, over 44458.06 utterances.], batch size: 60, lr: 3.08e-04
+2022-09-18 07:33:48,206 INFO [train.py:885] (0/2) Epoch 15, batch 9950, loss[loss=0.6995, simple_loss=0.7295, pruned_loss=0.3348, over 12355.00 frames. utt_duration=62.58 frames, utt_pad_proportion=0.1543, over 810.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3567, pruned_loss=0.1119, over 2780409.11 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07192, over 44607.38 utterances.], batch size: 810, lr: 3.08e-04
+2022-09-18 07:34:17,398 INFO [train.py:885] (0/2) Epoch 15, batch 10000, loss[loss=0.3035, simple_loss=0.3708, pruned_loss=0.1181, over 14340.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03688, over 195.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3561, pruned_loss=0.1113, over 2786526.02 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06855, over 43917.46 utterances.], batch size: 195, lr: 3.08e-04
+2022-09-18 07:34:47,146 INFO [train.py:885] (0/2) Epoch 15, batch 10050, loss[loss=0.3869, simple_loss=0.428, pruned_loss=0.1729, over 14351.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03624, over 283.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3565, pruned_loss=0.1112, over 2789035.67 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06618, over 43589.81 utterances.], batch size: 283, lr: 3.08e-04
+2022-09-18 07:35:17,063 INFO [train.py:885] (0/2) Epoch 15, batch 10100, loss[loss=0.378, simple_loss=0.4349, pruned_loss=0.1605, over 13993.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0562, over 365.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.3592, pruned_loss=0.1123, over 2784399.07 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07087, over 45589.96 utterances.], batch size: 365, lr: 3.08e-04
+2022-09-18 07:35:46,661 INFO [train.py:885] (0/2) Epoch 15, batch 10150, loss[loss=0.2295, simple_loss=0.2883, pruned_loss=0.08529, over 13630.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08235, over 50.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3609, pruned_loss=0.1135, over 2782551.69 frames. utt_duration=244 frames, utt_pad_proportion=0.07046, over 45900.58 utterances.], batch size: 50, lr: 3.08e-04
+2022-09-18 07:36:15,731 INFO [train.py:885] (0/2) Epoch 15, batch 10200, loss[loss=0.2826, simple_loss=0.3833, pruned_loss=0.09095, over 13762.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07218, over 411.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3607, pruned_loss=0.1123, over 2778815.54 frames. utt_duration=238 frames, utt_pad_proportion=0.07204, over 46996.54 utterances.], batch size: 411, lr: 3.08e-04
+2022-09-18 07:36:45,395 INFO [train.py:885] (0/2) Epoch 15, batch 10250, loss[loss=0.2415, simple_loss=0.3012, pruned_loss=0.09091, over 14079.00 frames. utt_duration=518.2 frames, utt_pad_proportion=0.05086, over 109.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3607, pruned_loss=0.1127, over 2777793.83 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07191, over 47332.05 utterances.], batch size: 109, lr: 3.08e-04
+2022-09-18 07:37:15,716 INFO [train.py:885] (0/2) Epoch 15, batch 10300, loss[loss=0.1977, simple_loss=0.2292, pruned_loss=0.0831, over 12463.00 frames. utt_duration=2079 frames, utt_pad_proportion=0.1347, over 24.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3604, pruned_loss=0.1126, over 2778612.62 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07086, over 46638.29 utterances.], batch size: 24, lr: 3.08e-04
+2022-09-18 07:37:44,398 INFO [train.py:885] (0/2) Epoch 15, batch 10350, loss[loss=0.2746, simple_loss=0.3425, pruned_loss=0.1034, over 14331.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03679, over 154.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.357, pruned_loss=0.1118, over 2776184.12 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07147, over 44650.97 utterances.], batch size: 154, lr: 3.08e-04
+2022-09-18 07:38:14,007 INFO [train.py:885] (0/2) Epoch 15, batch 10400, loss[loss=0.3108, simple_loss=0.4081, pruned_loss=0.1068, over 13604.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07869, over 560.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3561, pruned_loss=0.1112, over 2774014.66 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07247, over 45181.69 utterances.], batch size: 560, lr: 3.08e-04
+2022-09-18 07:38:43,069 INFO [train.py:885] (0/2) Epoch 15, batch 10450, loss[loss=0.4158, simple_loss=0.4513, pruned_loss=0.1901, over 14390.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03113, over 244.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3525, pruned_loss=0.1098, over 2772518.56 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07281, over 44373.19 utterances.], batch size: 244, lr: 3.08e-04
+2022-09-18 07:39:12,954 INFO [train.py:885] (0/2) Epoch 15, batch 10500, loss[loss=0.2986, simple_loss=0.3534, pruned_loss=0.1219, over 14297.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.0425, over 141.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3514, pruned_loss=0.1095, over 2775186.94 frames. utt_duration=256.8 frames, utt_pad_proportion=0.07185, over 43480.78 utterances.], batch size: 141, lr: 3.08e-04
+2022-09-18 07:39:42,154 INFO [train.py:885] (0/2) Epoch 15, batch 10550, loss[loss=0.2752, simple_loss=0.3528, pruned_loss=0.09881, over 14337.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03715, over 195.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3528, pruned_loss=0.1102, over 2775905.15 frames. utt_duration=255 frames, utt_pad_proportion=0.07131, over 43801.03 utterances.], batch size: 195, lr: 3.08e-04
+2022-09-18 07:40:11,896 INFO [train.py:885] (0/2) Epoch 15, batch 10600, loss[loss=0.2721, simple_loss=0.3481, pruned_loss=0.09803, over 14341.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03985, over 167.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3522, pruned_loss=0.1104, over 2776919.27 frames. utt_duration=259.7 frames, utt_pad_proportion=0.07137, over 43020.85 utterances.], batch size: 167, lr: 3.08e-04
+2022-09-18 07:40:41,968 INFO [train.py:885] (0/2) Epoch 15, batch 10650, loss[loss=0.2101, simple_loss=0.2816, pruned_loss=0.06933, over 13972.00 frames. utt_duration=708.8 frames, utt_pad_proportion=0.06247, over 79.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3526, pruned_loss=0.11, over 2780435.85 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06995, over 43178.28 utterances.], batch size: 79, lr: 3.08e-04
+2022-09-18 07:41:12,067 INFO [train.py:885] (0/2) Epoch 15, batch 10700, loss[loss=0.2986, simple_loss=0.3614, pruned_loss=0.1179, over 14293.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04131, over 154.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3569, pruned_loss=0.1124, over 2781855.79 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07021, over 43900.07 utterances.], batch size: 154, lr: 3.08e-04
+2022-09-18 07:41:41,515 INFO [train.py:885] (0/2) Epoch 15, batch 10750, loss[loss=0.1758, simple_loss=0.2329, pruned_loss=0.05929, over 13056.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1198, over 33.00 utterances.], tot_loss[loss=0.292, simple_loss=0.3581, pruned_loss=0.1129, over 2782273.44 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06962, over 44638.73 utterances.], batch size: 33, lr: 3.07e-04
+2022-09-18 07:42:10,854 INFO [train.py:885] (0/2) Epoch 15, batch 10800, loss[loss=0.312, simple_loss=0.4129, pruned_loss=0.1055, over 13617.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08248, over 477.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3569, pruned_loss=0.1121, over 2779491.34 frames. utt_duration=251 frames, utt_pad_proportion=0.07018, over 44549.07 utterances.], batch size: 477, lr: 3.07e-04
+2022-09-18 07:42:40,586 INFO [train.py:885] (0/2) Epoch 15, batch 10850, loss[loss=0.3088, simple_loss=0.4013, pruned_loss=0.1082, over 13666.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07935, over 477.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3553, pruned_loss=0.1106, over 2781790.39 frames. utt_duration=253 frames, utt_pad_proportion=0.06934, over 44237.27 utterances.], batch size: 477, lr: 3.07e-04
+2022-09-18 07:43:09,726 INFO [train.py:885] (0/2) Epoch 15, batch 10900, loss[loss=0.2674, simple_loss=0.3199, pruned_loss=0.1075, over 14037.00 frames. utt_duration=574.3 frames, utt_pad_proportion=0.05694, over 98.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3543, pruned_loss=0.1106, over 2777520.60 frames. utt_duration=254 frames, utt_pad_proportion=0.06992, over 44000.50 utterances.], batch size: 98, lr: 3.07e-04
+2022-09-18 07:43:39,783 INFO [train.py:885] (0/2) Epoch 15, batch 10950, loss[loss=0.3284, simple_loss=0.3864, pruned_loss=0.1352, over 14365.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03542, over 210.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.355, pruned_loss=0.1103, over 2776955.60 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07224, over 45005.12 utterances.], batch size: 210, lr: 3.07e-04
+2022-09-18 07:44:15,796 INFO [train.py:885] (0/2) Epoch 15, batch 11000, loss[loss=0.303, simple_loss=0.3659, pruned_loss=0.12, over 14276.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.0404, over 225.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3558, pruned_loss=0.1104, over 2773782.84 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07404, over 45455.72 utterances.], batch size: 225, lr: 3.07e-04
+2022-09-18 07:44:45,221 INFO [train.py:885] (0/2) Epoch 15, batch 11050, loss[loss=0.3652, simple_loss=0.4053, pruned_loss=0.1626, over 14318.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03932, over 262.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3601, pruned_loss=0.1136, over 2774764.38 frames. utt_duration=240 frames, utt_pad_proportion=0.07367, over 46523.53 utterances.], batch size: 262, lr: 3.07e-04
+2022-09-18 07:45:14,003 INFO [train.py:885] (0/2) Epoch 15, batch 11100, loss[loss=0.3114, simple_loss=0.3767, pruned_loss=0.123, over 14350.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.0362, over 195.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3586, pruned_loss=0.1128, over 2775963.11 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07205, over 45947.25 utterances.], batch size: 195, lr: 3.07e-04
+2022-09-18 07:45:43,848 INFO [train.py:885] (0/2) Epoch 15, batch 11150, loss[loss=0.1861, simple_loss=0.2245, pruned_loss=0.07387, over 12347.00 frames. utt_duration=2059 frames, utt_pad_proportion=0.1575, over 24.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3541, pruned_loss=0.1112, over 2775586.22 frames. utt_duration=253 frames, utt_pad_proportion=0.07178, over 44132.88 utterances.], batch size: 24, lr: 3.07e-04
+2022-09-18 07:46:13,815 INFO [train.py:885] (0/2) Epoch 15, batch 11200, loss[loss=0.1881, simple_loss=0.2649, pruned_loss=0.05569, over 13110.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1187, over 33.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3565, pruned_loss=0.1132, over 2777878.56 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07319, over 44064.20 utterances.], batch size: 33, lr: 3.07e-04
+2022-09-18 07:46:43,064 INFO [train.py:885] (0/2) Epoch 15, batch 11250, loss[loss=0.3084, simple_loss=0.3991, pruned_loss=0.1088, over 13760.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07214, over 411.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3596, pruned_loss=0.1144, over 2775701.81 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07357, over 45524.56 utterances.], batch size: 411, lr: 3.07e-04
+2022-09-18 07:47:12,614 INFO [train.py:885] (0/2) Epoch 15, batch 11300, loss[loss=0.296, simple_loss=0.3622, pruned_loss=0.1149, over 14316.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03928, over 262.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3597, pruned_loss=0.1146, over 2779066.08 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07239, over 45724.33 utterances.], batch size: 262, lr: 3.07e-04
+2022-09-18 07:47:25,256 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-188000.pt
+2022-09-18 07:47:42,508 INFO [train.py:885] (0/2) Epoch 15, batch 11350, loss[loss=0.1748, simple_loss=0.232, pruned_loss=0.05875, over 13476.00 frames. utt_duration=1316 frames, utt_pad_proportion=0.07945, over 41.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3605, pruned_loss=0.1147, over 2778969.11 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07186, over 46295.67 utterances.], batch size: 41, lr: 3.07e-04
+2022-09-18 07:48:13,053 INFO [train.py:885] (0/2) Epoch 15, batch 11400, loss[loss=0.5046, simple_loss=0.5819, pruned_loss=0.2136, over 12490.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1456, over 810.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3625, pruned_loss=0.1153, over 2779722.23 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07273, over 47314.68 utterances.], batch size: 810, lr: 3.07e-04
+2022-09-18 07:48:43,108 INFO [train.py:885] (0/2) Epoch 15, batch 11450, loss[loss=0.4059, simple_loss=0.445, pruned_loss=0.1834, over 14256.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04244, over 335.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3641, pruned_loss=0.1159, over 2777630.72 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07308, over 48353.32 utterances.], batch size: 335, lr: 3.07e-04
+2022-09-18 07:49:11,955 INFO [train.py:885] (0/2) Epoch 15, batch 11500, loss[loss=0.3631, simple_loss=0.3991, pruned_loss=0.1635, over 14299.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04091, over 154.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3606, pruned_loss=0.1143, over 2780293.54 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07261, over 46976.34 utterances.], batch size: 154, lr: 3.07e-04
+2022-09-18 07:49:41,239 INFO [train.py:885] (0/2) Epoch 15, batch 11550, loss[loss=0.3618, simple_loss=0.4014, pruned_loss=0.1611, over 14277.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04157, over 141.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3602, pruned_loss=0.1133, over 2775015.40 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07553, over 47294.99 utterances.], batch size: 141, lr: 3.07e-04
+2022-09-18 07:50:10,851 INFO [train.py:885] (0/2) Epoch 15, batch 11600, loss[loss=0.3443, simple_loss=0.4366, pruned_loss=0.126, over 13600.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.07844, over 560.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3619, pruned_loss=0.1141, over 2780998.08 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07382, over 47525.02 utterances.], batch size: 560, lr: 3.07e-04
+2022-09-18 07:50:39,901 INFO [train.py:885] (0/2) Epoch 15, batch 11650, loss[loss=0.2357, simple_loss=0.3035, pruned_loss=0.08388, over 14098.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05268, over 98.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3614, pruned_loss=0.1132, over 2780625.49 frames. utt_duration=233 frames, utt_pad_proportion=0.0743, over 48046.58 utterances.], batch size: 98, lr: 3.07e-04
+2022-09-18 07:51:09,926 INFO [train.py:885] (0/2) Epoch 15, batch 11700, loss[loss=0.1682, simple_loss=0.2269, pruned_loss=0.05482, over 13755.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.07682, over 42.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3612, pruned_loss=0.1128, over 2770757.44 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07752, over 48452.89 utterances.], batch size: 42, lr: 3.07e-04
+2022-09-18 07:51:39,523 INFO [train.py:885] (0/2) Epoch 15, batch 11750, loss[loss=0.4655, simple_loss=0.5328, pruned_loss=0.1991, over 13138.00 frames. utt_duration=82.01 frames, utt_pad_proportion=0.1086, over 653.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3613, pruned_loss=0.1119, over 2766401.45 frames. utt_duration=224.2 frames, utt_pad_proportion=0.07832, over 49690.72 utterances.], batch size: 653, lr: 3.07e-04
+2022-09-18 07:52:08,450 INFO [train.py:885] (0/2) Epoch 15, batch 11800, loss[loss=0.1676, simple_loss=0.226, pruned_loss=0.0546, over 13822.00 frames. utt_duration=922.8 frames, utt_pad_proportion=0.0726, over 60.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3611, pruned_loss=0.1127, over 2773295.96 frames. utt_duration=228.9 frames, utt_pad_proportion=0.07591, over 48778.10 utterances.], batch size: 60, lr: 3.07e-04
+2022-09-18 07:52:38,422 INFO [train.py:885] (0/2) Epoch 15, batch 11850, loss[loss=0.2317, simple_loss=0.2798, pruned_loss=0.09185, over 13842.00 frames. utt_duration=924.2 frames, utt_pad_proportion=0.07204, over 60.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3614, pruned_loss=0.113, over 2771455.59 frames. utt_duration=227.4 frames, utt_pad_proportion=0.07731, over 49062.93 utterances.], batch size: 60, lr: 3.07e-04
+2022-09-18 07:53:07,703 INFO [train.py:885] (0/2) Epoch 15, batch 11900, loss[loss=0.2005, simple_loss=0.2729, pruned_loss=0.06405, over 13637.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07948, over 50.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3576, pruned_loss=0.1115, over 2778218.33 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07328, over 45906.60 utterances.], batch size: 50, lr: 3.07e-04
+2022-09-18 07:53:36,927 INFO [train.py:885] (0/2) Epoch 15, batch 11950, loss[loss=0.3098, simple_loss=0.3804, pruned_loss=0.1195, over 14362.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03525, over 210.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3608, pruned_loss=0.1132, over 2775276.70 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07496, over 46801.01 utterances.], batch size: 210, lr: 3.06e-04
+2022-09-18 07:54:06,554 INFO [train.py:885] (0/2) Epoch 15, batch 12000, loss[loss=0.1676, simple_loss=0.2355, pruned_loss=0.04984, over 13094.00 frames. utt_duration=1279 frames, utt_pad_proportion=0.105, over 41.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3568, pruned_loss=0.1113, over 2775935.96 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07382, over 45361.99 utterances.], batch size: 41, lr: 3.06e-04
+2022-09-18 07:54:06,555 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 07:54:11,268 INFO [train.py:914] (0/2) Epoch 15, validation: loss=0.1998, simple_loss=0.2786, pruned_loss=0.06048, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 07:54:41,336 INFO [train.py:885] (0/2) Epoch 15, batch 12050, loss[loss=0.1417, simple_loss=0.2038, pruned_loss=0.03979, over 12278.00 frames. utt_duration=2048 frames, utt_pad_proportion=0.1499, over 24.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.357, pruned_loss=0.111, over 2774301.79 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07508, over 45778.89 utterances.], batch size: 24, lr: 3.06e-04
+2022-09-18 07:55:10,717 INFO [train.py:885] (0/2) Epoch 15, batch 12100, loss[loss=0.3109, simple_loss=0.3755, pruned_loss=0.1232, over 14318.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04003, over 262.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3576, pruned_loss=0.1109, over 2776442.52 frames. utt_duration=240 frames, utt_pad_proportion=0.07491, over 46570.99 utterances.], batch size: 262, lr: 3.06e-04
+2022-09-18 07:55:39,766 INFO [train.py:885] (0/2) Epoch 15, batch 12150, loss[loss=0.2468, simple_loss=0.31, pruned_loss=0.09174, over 14085.00 frames. utt_duration=714.6 frames, utt_pad_proportion=0.05482, over 79.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3602, pruned_loss=0.1127, over 2781184.16 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07267, over 46788.37 utterances.], batch size: 79, lr: 3.06e-04
+2022-09-18 07:56:10,217 INFO [train.py:885] (0/2) Epoch 15, batch 12200, loss[loss=0.2321, simple_loss=0.2673, pruned_loss=0.09845, over 13222.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.09872, over 33.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.36, pruned_loss=0.1127, over 2777613.58 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07586, over 47560.61 utterances.], batch size: 33, lr: 3.06e-04
+2022-09-18 07:56:39,263 INFO [train.py:885] (0/2) Epoch 15, batch 12250, loss[loss=0.3503, simple_loss=0.3924, pruned_loss=0.1541, over 14308.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03944, over 120.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3584, pruned_loss=0.1121, over 2781665.54 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07421, over 45753.68 utterances.], batch size: 120, lr: 3.06e-04
+2022-09-18 07:57:09,209 INFO [train.py:885] (0/2) Epoch 15, batch 12300, loss[loss=0.2917, simple_loss=0.3909, pruned_loss=0.09626, over 13734.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07399, over 411.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3571, pruned_loss=0.1114, over 2779085.04 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07443, over 46252.18 utterances.], batch size: 411, lr: 3.06e-04
+2022-09-18 07:57:39,167 INFO [train.py:885] (0/2) Epoch 15, batch 12350, loss[loss=0.1891, simple_loss=0.2579, pruned_loss=0.0602, over 13665.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.08076, over 50.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3554, pruned_loss=0.1103, over 2781680.20 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07327, over 45492.76 utterances.], batch size: 50, lr: 3.06e-04
+2022-09-18 07:58:08,468 INFO [train.py:885] (0/2) Epoch 15, batch 12400, loss[loss=0.2931, simple_loss=0.3595, pruned_loss=0.1133, over 14257.00 frames. utt_duration=476.8 frames, utt_pad_proportion=0.04267, over 120.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3549, pruned_loss=0.1101, over 2783166.72 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07291, over 45002.10 utterances.], batch size: 120, lr: 3.06e-04
+2022-09-18 07:58:38,179 INFO [train.py:885] (0/2) Epoch 15, batch 12450, loss[loss=0.3383, simple_loss=0.4256, pruned_loss=0.1255, over 13712.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07232, over 479.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3585, pruned_loss=0.1125, over 2785439.08 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07138, over 45951.17 utterances.], batch size: 479, lr: 3.06e-04
+2022-09-18 07:59:07,907 INFO [train.py:885] (0/2) Epoch 15, batch 12500, loss[loss=0.347, simple_loss=0.4068, pruned_loss=0.1436, over 14339.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03975, over 167.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3534, pruned_loss=0.1101, over 2784878.26 frames. utt_duration=257.6 frames, utt_pad_proportion=0.07, over 43494.72 utterances.], batch size: 167, lr: 3.06e-04
+2022-09-18 07:59:37,530 INFO [train.py:885] (0/2) Epoch 15, batch 12550, loss[loss=0.3096, simple_loss=0.4045, pruned_loss=0.1073, over 13621.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08173, over 477.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3584, pruned_loss=0.1121, over 2784806.26 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07116, over 46196.44 utterances.], batch size: 477, lr: 3.06e-04
+2022-09-18 08:00:04,900 INFO [train.py:885] (0/2) Epoch 15, batch 12600, loss[loss=0.2545, simple_loss=0.323, pruned_loss=0.09298, over 14316.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.04139, over 141.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3617, pruned_loss=0.1137, over 2786493.04 frames. utt_duration=236 frames, utt_pad_proportion=0.0719, over 47525.97 utterances.], batch size: 141, lr: 3.06e-04
+2022-09-18 08:00:16,123 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-15.pt
+2022-09-18 08:00:24,425 INFO [train.py:885] (0/2) Epoch 16, batch 0, loss[loss=0.4516, simple_loss=0.4783, pruned_loss=0.2125, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04354, over 335.00 utterances.], tot_loss[loss=0.4516, simple_loss=0.4783, pruned_loss=0.2125, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04354, over 335.00 utterances.], batch size: 335, lr: 2.97e-04
+2022-09-18 08:00:53,813 INFO [train.py:885] (0/2) Epoch 16, batch 50, loss[loss=0.179, simple_loss=0.2458, pruned_loss=0.05605, over 13579.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08347, over 50.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.357, pruned_loss=0.1138, over 628607.55 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06842, over 10027.91 utterances.], batch size: 50, lr: 2.97e-04
+2022-09-18 08:01:23,310 INFO [train.py:885] (0/2) Epoch 16, batch 100, loss[loss=0.3106, simple_loss=0.3858, pruned_loss=0.1177, over 14324.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03823, over 262.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3659, pruned_loss=0.1161, over 1103749.92 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07455, over 19112.30 utterances.], batch size: 262, lr: 2.97e-04
+2022-09-18 08:01:53,372 INFO [train.py:885] (0/2) Epoch 16, batch 150, loss[loss=0.291, simple_loss=0.3804, pruned_loss=0.1008, over 13994.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05626, over 365.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3581, pruned_loss=0.1116, over 1476271.43 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07024, over 24142.20 utterances.], batch size: 365, lr: 2.97e-04
+2022-09-18 08:02:23,089 INFO [train.py:885] (0/2) Epoch 16, batch 200, loss[loss=0.346, simple_loss=0.4327, pruned_loss=0.1296, over 13651.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07968, over 477.00 utterances.], tot_loss[loss=0.286, simple_loss=0.354, pruned_loss=0.109, over 1762340.31 frames. utt_duration=248.7 frames, utt_pad_proportion=0.0721, over 28515.61 utterances.], batch size: 477, lr: 2.97e-04
+2022-09-18 08:02:52,864 INFO [train.py:885] (0/2) Epoch 16, batch 250, loss[loss=0.3947, simple_loss=0.4892, pruned_loss=0.1501, over 13186.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1048, over 653.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.352, pruned_loss=0.1079, over 1987334.44 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07028, over 31818.28 utterances.], batch size: 653, lr: 2.97e-04
+2022-09-18 08:03:22,546 INFO [train.py:885] (0/2) Epoch 16, batch 300, loss[loss=0.2548, simple_loss=0.3312, pruned_loss=0.0892, over 14324.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04006, over 167.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3574, pruned_loss=0.1111, over 2163486.77 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07174, over 35967.00 utterances.], batch size: 167, lr: 2.97e-04
+2022-09-18 08:03:51,606 INFO [train.py:885] (0/2) Epoch 16, batch 350, loss[loss=0.3895, simple_loss=0.484, pruned_loss=0.1475, over 13202.00 frames. utt_duration=82.47 frames, utt_pad_proportion=0.1036, over 653.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3543, pruned_loss=0.1092, over 2302845.76 frames. utt_duration=249 frames, utt_pad_proportion=0.07065, over 37213.89 utterances.], batch size: 653, lr: 2.97e-04
+2022-09-18 08:04:21,590 INFO [train.py:885] (0/2) Epoch 16, batch 400, loss[loss=0.2933, simple_loss=0.3822, pruned_loss=0.1022, over 14006.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05578, over 365.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3578, pruned_loss=0.1116, over 2408165.82 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07242, over 40409.13 utterances.], batch size: 365, lr: 2.97e-04
+2022-09-18 08:04:51,508 INFO [train.py:885] (0/2) Epoch 16, batch 450, loss[loss=0.3677, simple_loss=0.4381, pruned_loss=0.1486, over 13738.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07419, over 411.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3617, pruned_loss=0.1145, over 2488552.84 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07434, over 42464.16 utterances.], batch size: 411, lr: 2.97e-04
+2022-09-18 08:05:28,681 INFO [train.py:885] (0/2) Epoch 16, batch 500, loss[loss=0.2704, simple_loss=0.3471, pruned_loss=0.09684, over 14390.00 frames. utt_duration=275.5 frames, utt_pad_proportion=0.03327, over 210.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3628, pruned_loss=0.1152, over 2553911.55 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07377, over 44020.68 utterances.], batch size: 210, lr: 2.97e-04
+2022-09-18 08:05:58,496 INFO [train.py:885] (0/2) Epoch 16, batch 550, loss[loss=0.3237, simple_loss=0.4095, pruned_loss=0.119, over 13990.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05667, over 365.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3625, pruned_loss=0.1141, over 2601678.57 frames. utt_duration=231 frames, utt_pad_proportion=0.07291, over 45335.88 utterances.], batch size: 365, lr: 2.97e-04
+2022-09-18 08:06:27,930 INFO [train.py:885] (0/2) Epoch 16, batch 600, loss[loss=0.1993, simple_loss=0.2733, pruned_loss=0.06268, over 13866.00 frames. utt_duration=925.9 frames, utt_pad_proportion=0.06667, over 60.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3606, pruned_loss=0.1127, over 2636855.80 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07422, over 45208.49 utterances.], batch size: 60, lr: 2.97e-04
+2022-09-18 08:06:57,263 INFO [train.py:885] (0/2) Epoch 16, batch 650, loss[loss=0.3099, simple_loss=0.3918, pruned_loss=0.114, over 13996.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05596, over 365.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3595, pruned_loss=0.1132, over 2673369.55 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07087, over 44155.44 utterances.], batch size: 365, lr: 2.97e-04
+2022-09-18 08:07:26,376 INFO [train.py:885] (0/2) Epoch 16, batch 700, loss[loss=0.1695, simple_loss=0.2449, pruned_loss=0.04707, over 13382.00 frames. utt_duration=1623 frames, utt_pad_proportion=0.08706, over 33.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3606, pruned_loss=0.1132, over 2695174.61 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07376, over 45566.63 utterances.], batch size: 33, lr: 2.97e-04
+2022-09-18 08:07:55,681 INFO [train.py:885] (0/2) Epoch 16, batch 750, loss[loss=0.3012, simple_loss=0.3682, pruned_loss=0.1171, over 14263.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04115, over 180.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3603, pruned_loss=0.1142, over 2722856.19 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07011, over 44381.39 utterances.], batch size: 180, lr: 2.96e-04
+2022-09-18 08:08:25,418 INFO [train.py:885] (0/2) Epoch 16, batch 800, loss[loss=0.2106, simple_loss=0.2676, pruned_loss=0.07678, over 13942.00 frames. utt_duration=930.8 frames, utt_pad_proportion=0.06551, over 60.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3574, pruned_loss=0.1124, over 2739152.72 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06732, over 43323.38 utterances.], batch size: 60, lr: 2.96e-04
+2022-09-18 08:08:55,209 INFO [train.py:885] (0/2) Epoch 16, batch 850, loss[loss=0.4078, simple_loss=0.4412, pruned_loss=0.1872, over 14281.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03961, over 180.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3558, pruned_loss=0.1121, over 2744285.31 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06962, over 42980.71 utterances.], batch size: 180, lr: 2.96e-04
+2022-09-18 08:09:24,689 INFO [train.py:885] (0/2) Epoch 16, batch 900, loss[loss=0.2993, simple_loss=0.3863, pruned_loss=0.1061, over 13962.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.0588, over 365.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3562, pruned_loss=0.1128, over 2751051.16 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07028, over 43338.68 utterances.], batch size: 365, lr: 2.96e-04
+2022-09-18 08:09:54,372 INFO [train.py:885] (0/2) Epoch 16, batch 950, loss[loss=0.2593, simple_loss=0.3153, pruned_loss=0.1016, over 14123.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05084, over 98.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3525, pruned_loss=0.1104, over 2754826.62 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06996, over 42337.93 utterances.], batch size: 98, lr: 2.96e-04
+2022-09-18 08:10:23,725 INFO [train.py:885] (0/2) Epoch 16, batch 1000, loss[loss=0.2102, simple_loss=0.2746, pruned_loss=0.07286, over 13131.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1194, over 33.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.351, pruned_loss=0.1091, over 2759889.83 frames. utt_duration=264.6 frames, utt_pad_proportion=0.06926, over 41959.98 utterances.], batch size: 33, lr: 2.96e-04
+2022-09-18 08:10:53,682 INFO [train.py:885] (0/2) Epoch 16, batch 1050, loss[loss=0.2238, simple_loss=0.2999, pruned_loss=0.07386, over 13997.00 frames. utt_duration=710.1 frames, utt_pad_proportion=0.06071, over 79.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3551, pruned_loss=0.1114, over 2764727.59 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07075, over 43414.94 utterances.], batch size: 79, lr: 2.96e-04
+2022-09-18 08:11:22,695 INFO [train.py:885] (0/2) Epoch 16, batch 1100, loss[loss=0.1898, simple_loss=0.2631, pruned_loss=0.05823, over 13843.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06421, over 69.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3549, pruned_loss=0.111, over 2770196.86 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06976, over 43395.59 utterances.], batch size: 69, lr: 2.96e-04
+2022-09-18 08:11:52,504 INFO [train.py:885] (0/2) Epoch 16, batch 1150, loss[loss=0.308, simple_loss=0.3789, pruned_loss=0.1185, over 14331.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03754, over 210.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3538, pruned_loss=0.1102, over 2774543.63 frames. utt_duration=259.2 frames, utt_pad_proportion=0.06855, over 43055.70 utterances.], batch size: 210, lr: 2.96e-04
+2022-09-18 08:12:22,062 INFO [train.py:885] (0/2) Epoch 16, batch 1200, loss[loss=0.6846, simple_loss=0.7025, pruned_loss=0.3333, over 12483.00 frames. utt_duration=63.22 frames, utt_pad_proportion=0.1457, over 810.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.362, pruned_loss=0.1152, over 2774625.85 frames. utt_duration=243 frames, utt_pad_proportion=0.07349, over 45960.38 utterances.], batch size: 810, lr: 2.96e-04
+2022-09-18 08:12:51,338 INFO [train.py:885] (0/2) Epoch 16, batch 1250, loss[loss=0.3887, simple_loss=0.4342, pruned_loss=0.1716, over 14234.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04284, over 335.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3607, pruned_loss=0.114, over 2773012.47 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07343, over 45966.69 utterances.], batch size: 335, lr: 2.96e-04
+2022-09-18 08:13:21,143 INFO [train.py:885] (0/2) Epoch 16, batch 1300, loss[loss=0.3789, simple_loss=0.4664, pruned_loss=0.1457, over 13112.00 frames. utt_duration=81.86 frames, utt_pad_proportion=0.1102, over 653.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3619, pruned_loss=0.1148, over 2777723.47 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07185, over 46375.63 utterances.], batch size: 653, lr: 2.96e-04
+2022-09-18 08:13:50,291 INFO [train.py:885] (0/2) Epoch 16, batch 1350, loss[loss=0.2435, simple_loss=0.3202, pruned_loss=0.08343, over 14309.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03769, over 130.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3588, pruned_loss=0.1135, over 2784420.44 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06828, over 44735.13 utterances.], batch size: 130, lr: 2.96e-04
+2022-09-18 08:14:19,949 INFO [train.py:885] (0/2) Epoch 16, batch 1400, loss[loss=0.3343, simple_loss=0.3908, pruned_loss=0.139, over 14230.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04343, over 335.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3594, pruned_loss=0.1138, over 2787481.23 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0678, over 45116.63 utterances.], batch size: 335, lr: 2.96e-04
+2022-09-18 08:14:49,886 INFO [train.py:885] (0/2) Epoch 16, batch 1450, loss[loss=0.2421, simple_loss=0.3236, pruned_loss=0.08029, over 14329.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03676, over 180.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3566, pruned_loss=0.1126, over 2783979.49 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06677, over 44307.68 utterances.], batch size: 180, lr: 2.96e-04
+2022-09-18 08:15:18,861 INFO [train.py:885] (0/2) Epoch 16, batch 1500, loss[loss=0.3822, simple_loss=0.4286, pruned_loss=0.1679, over 14246.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04196, over 335.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3576, pruned_loss=0.1129, over 2783034.90 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06822, over 45015.85 utterances.], batch size: 335, lr: 2.96e-04
+2022-09-18 08:15:48,170 INFO [train.py:885] (0/2) Epoch 16, batch 1550, loss[loss=0.2958, simple_loss=0.3959, pruned_loss=0.09786, over 13604.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08294, over 477.00 utterances.], tot_loss[loss=0.291, simple_loss=0.357, pruned_loss=0.1124, over 2779959.44 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06957, over 44850.30 utterances.], batch size: 477, lr: 2.96e-04
+2022-09-18 08:16:17,830 INFO [train.py:885] (0/2) Epoch 16, batch 1600, loss[loss=0.2653, simple_loss=0.3281, pruned_loss=0.1012, over 14330.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03805, over 120.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.354, pruned_loss=0.1104, over 2784829.86 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06833, over 43479.86 utterances.], batch size: 120, lr: 2.96e-04
+2022-09-18 08:16:47,737 INFO [train.py:885] (0/2) Epoch 16, batch 1650, loss[loss=0.2629, simple_loss=0.3314, pruned_loss=0.09718, over 14193.00 frames. utt_duration=404 frames, utt_pad_proportion=0.04935, over 141.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3551, pruned_loss=0.1115, over 2787124.30 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06797, over 43567.33 utterances.], batch size: 141, lr: 2.96e-04
+2022-09-18 08:17:17,509 INFO [train.py:885] (0/2) Epoch 16, batch 1700, loss[loss=0.311, simple_loss=0.3834, pruned_loss=0.1193, over 14314.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03506, over 210.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3572, pruned_loss=0.1125, over 2791124.11 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06788, over 44706.91 utterances.], batch size: 210, lr: 2.96e-04
+2022-09-18 08:17:46,632 INFO [train.py:885] (0/2) Epoch 16, batch 1750, loss[loss=0.3707, simple_loss=0.4159, pruned_loss=0.1627, over 14329.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03723, over 210.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3565, pruned_loss=0.1129, over 2787372.60 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06736, over 43773.39 utterances.], batch size: 210, lr: 2.96e-04
+2022-09-18 08:18:16,133 INFO [train.py:885] (0/2) Epoch 16, batch 1800, loss[loss=0.3319, simple_loss=0.3856, pruned_loss=0.1391, over 14304.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03814, over 130.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3583, pruned_loss=0.1132, over 2786426.55 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06858, over 44963.68 utterances.], batch size: 130, lr: 2.96e-04
+2022-09-18 08:18:46,121 INFO [train.py:885] (0/2) Epoch 16, batch 1850, loss[loss=0.5173, simple_loss=0.6024, pruned_loss=0.2162, over 12450.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.361, pruned_loss=0.1142, over 2780977.24 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07224, over 46916.41 utterances.], batch size: 810, lr: 2.96e-04
+2022-09-18 08:19:15,933 INFO [train.py:885] (0/2) Epoch 16, batch 1900, loss[loss=0.1688, simple_loss=0.2306, pruned_loss=0.05355, over 13906.00 frames. utt_duration=928.5 frames, utt_pad_proportion=0.06117, over 60.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3596, pruned_loss=0.1134, over 2780245.22 frames. utt_duration=241.2 frames, utt_pad_proportion=0.0717, over 46387.49 utterances.], batch size: 60, lr: 2.96e-04
+2022-09-18 08:19:45,107 INFO [train.py:885] (0/2) Epoch 16, batch 1950, loss[loss=0.3262, simple_loss=0.4232, pruned_loss=0.1146, over 13621.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.0813, over 477.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3567, pruned_loss=0.1119, over 2783046.12 frames. utt_duration=247.1 frames, utt_pad_proportion=0.0689, over 45327.78 utterances.], batch size: 477, lr: 2.96e-04
+2022-09-18 08:20:14,933 INFO [train.py:885] (0/2) Epoch 16, batch 2000, loss[loss=0.312, simple_loss=0.3816, pruned_loss=0.1213, over 14379.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03168, over 244.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3529, pruned_loss=0.1098, over 2783618.49 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06713, over 43828.91 utterances.], batch size: 244, lr: 2.96e-04
+2022-09-18 08:20:44,397 INFO [train.py:885] (0/2) Epoch 16, batch 2050, loss[loss=0.3969, simple_loss=0.4713, pruned_loss=0.1612, over 13801.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06944, over 411.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3545, pruned_loss=0.1106, over 2787600.89 frames. utt_duration=255 frames, utt_pad_proportion=0.06609, over 43979.00 utterances.], batch size: 411, lr: 2.95e-04
+2022-09-18 08:21:13,524 INFO [train.py:885] (0/2) Epoch 16, batch 2100, loss[loss=0.2954, simple_loss=0.3605, pruned_loss=0.1152, over 14358.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03821, over 167.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3518, pruned_loss=0.1096, over 2789406.22 frames. utt_duration=265.1 frames, utt_pad_proportion=0.06394, over 42326.65 utterances.], batch size: 167, lr: 2.95e-04
+2022-09-18 08:21:43,197 INFO [train.py:885] (0/2) Epoch 16, batch 2150, loss[loss=0.2207, simple_loss=0.2873, pruned_loss=0.07701, over 14232.00 frames. utt_duration=641.1 frames, utt_pad_proportion=0.04458, over 89.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3553, pruned_loss=0.1108, over 2792084.78 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06566, over 43519.80 utterances.], batch size: 89, lr: 2.95e-04
+2022-09-18 08:22:12,762 INFO [train.py:885] (0/2) Epoch 16, batch 2200, loss[loss=0.3392, simple_loss=0.4284, pruned_loss=0.125, over 13645.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08005, over 477.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3532, pruned_loss=0.1097, over 2791538.60 frames. utt_duration=264.9 frames, utt_pad_proportion=0.06563, over 42394.67 utterances.], batch size: 477, lr: 2.95e-04
+2022-09-18 08:22:41,708 INFO [train.py:885] (0/2) Epoch 16, batch 2250, loss[loss=0.3494, simple_loss=0.3999, pruned_loss=0.1495, over 14260.00 frames. utt_duration=255 frames, utt_pad_proportion=0.0415, over 225.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3546, pruned_loss=0.1106, over 2790684.40 frames. utt_duration=261.3 frames, utt_pad_proportion=0.06721, over 42964.19 utterances.], batch size: 225, lr: 2.95e-04
+2022-09-18 08:23:11,800 INFO [train.py:885] (0/2) Epoch 16, batch 2300, loss[loss=0.19, simple_loss=0.2502, pruned_loss=0.06491, over 13602.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08422, over 50.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3541, pruned_loss=0.1104, over 2788728.06 frames. utt_duration=263 frames, utt_pad_proportion=0.06632, over 42660.55 utterances.], batch size: 50, lr: 2.95e-04
+2022-09-18 08:23:41,085 INFO [train.py:885] (0/2) Epoch 16, batch 2350, loss[loss=0.2801, simple_loss=0.3622, pruned_loss=0.09901, over 14340.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03443, over 244.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3508, pruned_loss=0.1084, over 2788837.03 frames. utt_duration=266.8 frames, utt_pad_proportion=0.06646, over 42036.26 utterances.], batch size: 244, lr: 2.95e-04
+2022-09-18 08:24:10,898 INFO [train.py:885] (0/2) Epoch 16, batch 2400, loss[loss=0.3191, simple_loss=0.4008, pruned_loss=0.1187, over 13973.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05695, over 365.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3553, pruned_loss=0.1108, over 2785558.57 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06933, over 43725.13 utterances.], batch size: 365, lr: 2.95e-04
+2022-09-18 08:24:39,969 INFO [train.py:885] (0/2) Epoch 16, batch 2450, loss[loss=0.3804, simple_loss=0.4247, pruned_loss=0.1681, over 14316.00 frames. utt_duration=236.1 frames, utt_pad_proportion=0.04025, over 244.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3531, pruned_loss=0.1097, over 2785991.94 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06788, over 43091.91 utterances.], batch size: 244, lr: 2.95e-04
+2022-09-18 08:25:09,732 INFO [train.py:885] (0/2) Epoch 16, batch 2500, loss[loss=0.1782, simple_loss=0.2347, pruned_loss=0.06082, over 13738.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.07251, over 42.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3569, pruned_loss=0.1116, over 2787742.12 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06868, over 44772.39 utterances.], batch size: 42, lr: 2.95e-04
+2022-09-18 08:25:39,111 INFO [train.py:885] (0/2) Epoch 16, batch 2550, loss[loss=0.3935, simple_loss=0.4338, pruned_loss=0.1766, over 14329.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03769, over 283.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.356, pruned_loss=0.1115, over 2780689.99 frames. utt_duration=250.8 frames, utt_pad_proportion=0.0697, over 44609.18 utterances.], batch size: 283, lr: 2.95e-04
+2022-09-18 08:26:08,115 INFO [train.py:885] (0/2) Epoch 16, batch 2600, loss[loss=0.1898, simple_loss=0.2507, pruned_loss=0.06448, over 12136.00 frames. utt_duration=2024 frames, utt_pad_proportion=0.1734, over 24.00 utterances.], tot_loss[loss=0.289, simple_loss=0.355, pruned_loss=0.1115, over 2783786.65 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06704, over 43562.87 utterances.], batch size: 24, lr: 2.95e-04
+2022-09-18 08:26:37,806 INFO [train.py:885] (0/2) Epoch 16, batch 2650, loss[loss=0.2419, simple_loss=0.3059, pruned_loss=0.08897, over 14154.00 frames. utt_duration=718.3 frames, utt_pad_proportion=0.04993, over 79.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3561, pruned_loss=0.112, over 2785422.93 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06581, over 43454.18 utterances.], batch size: 79, lr: 2.95e-04
+2022-09-18 08:27:06,938 INFO [train.py:885] (0/2) Epoch 16, batch 2700, loss[loss=0.2077, simple_loss=0.2746, pruned_loss=0.07037, over 13336.00 frames. utt_duration=1068 frames, utt_pad_proportion=0.1024, over 50.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3548, pruned_loss=0.1124, over 2783219.70 frames. utt_duration=263.2 frames, utt_pad_proportion=0.06598, over 42528.91 utterances.], batch size: 50, lr: 2.95e-04
+2022-09-18 08:27:07,504 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-192000.pt
+2022-09-18 08:27:37,384 INFO [train.py:885] (0/2) Epoch 16, batch 2750, loss[loss=0.3125, simple_loss=0.4007, pruned_loss=0.1122, over 13774.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07373, over 412.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3567, pruned_loss=0.1128, over 2781384.13 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06873, over 43666.42 utterances.], batch size: 412, lr: 2.95e-04
+2022-09-18 08:28:06,510 INFO [train.py:885] (0/2) Epoch 16, batch 2800, loss[loss=0.3191, simple_loss=0.3937, pruned_loss=0.1223, over 14197.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04515, over 306.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3557, pruned_loss=0.1118, over 2784995.64 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06705, over 43299.01 utterances.], batch size: 306, lr: 2.95e-04
+2022-09-18 08:28:37,012 INFO [train.py:885] (0/2) Epoch 16, batch 2850, loss[loss=0.1813, simple_loss=0.24, pruned_loss=0.06132, over 13170.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1087, over 33.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3539, pruned_loss=0.1103, over 2783009.02 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06822, over 43346.22 utterances.], batch size: 33, lr: 2.95e-04
+2022-09-18 08:29:06,719 INFO [train.py:885] (0/2) Epoch 16, batch 2900, loss[loss=0.3802, simple_loss=0.4743, pruned_loss=0.1431, over 13181.00 frames. utt_duration=82.24 frames, utt_pad_proportion=0.1061, over 653.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3505, pruned_loss=0.1084, over 2780613.37 frames. utt_duration=261.1 frames, utt_pad_proportion=0.06947, over 42833.70 utterances.], batch size: 653, lr: 2.95e-04
+2022-09-18 08:29:36,000 INFO [train.py:885] (0/2) Epoch 16, batch 2950, loss[loss=0.2938, simple_loss=0.3851, pruned_loss=0.1012, over 13770.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07179, over 411.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3551, pruned_loss=0.1107, over 2781876.12 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07073, over 44677.49 utterances.], batch size: 411, lr: 2.95e-04
+2022-09-18 08:30:05,808 INFO [train.py:885] (0/2) Epoch 16, batch 3000, loss[loss=0.3755, simple_loss=0.4262, pruned_loss=0.1624, over 14353.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03614, over 210.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3556, pruned_loss=0.1112, over 2780353.16 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07081, over 44668.55 utterances.], batch size: 210, lr: 2.95e-04
+2022-09-18 08:30:05,809 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 08:30:09,964 INFO [train.py:914] (0/2) Epoch 16, validation: loss=0.195, simple_loss=0.2753, pruned_loss=0.05737, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 08:30:39,356 INFO [train.py:885] (0/2) Epoch 16, batch 3050, loss[loss=0.6409, simple_loss=0.6789, pruned_loss=0.3015, over 12455.00 frames. utt_duration=63.14 frames, utt_pad_proportion=0.1468, over 810.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3588, pruned_loss=0.1131, over 2780186.88 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07106, over 45440.87 utterances.], batch size: 810, lr: 2.95e-04
+2022-09-18 08:31:09,791 INFO [train.py:885] (0/2) Epoch 16, batch 3100, loss[loss=0.2892, simple_loss=0.3843, pruned_loss=0.09702, over 13780.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07154, over 411.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3599, pruned_loss=0.1137, over 2780561.14 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07119, over 46000.89 utterances.], batch size: 411, lr: 2.95e-04
+2022-09-18 08:31:39,880 INFO [train.py:885] (0/2) Epoch 16, batch 3150, loss[loss=0.4428, simple_loss=0.4675, pruned_loss=0.209, over 14267.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04159, over 335.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.365, pruned_loss=0.1158, over 2781307.64 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07191, over 48740.07 utterances.], batch size: 335, lr: 2.95e-04
+2022-09-18 08:32:09,141 INFO [train.py:885] (0/2) Epoch 16, batch 3200, loss[loss=0.6067, simple_loss=0.6516, pruned_loss=0.2809, over 12582.00 frames. utt_duration=63.64 frames, utt_pad_proportion=0.1401, over 811.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3654, pruned_loss=0.1156, over 2781226.02 frames. utt_duration=228.2 frames, utt_pad_proportion=0.07315, over 49070.47 utterances.], batch size: 811, lr: 2.95e-04
+2022-09-18 08:32:38,359 INFO [train.py:885] (0/2) Epoch 16, batch 3250, loss[loss=0.2427, simple_loss=0.31, pruned_loss=0.08768, over 14153.00 frames. utt_duration=637.5 frames, utt_pad_proportion=0.0499, over 89.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3628, pruned_loss=0.1139, over 2777588.78 frames. utt_duration=229.4 frames, utt_pad_proportion=0.07402, over 48748.56 utterances.], batch size: 89, lr: 2.95e-04
+2022-09-18 08:33:07,565 INFO [train.py:885] (0/2) Epoch 16, batch 3300, loss[loss=0.3156, simple_loss=0.3991, pruned_loss=0.1161, over 13959.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05834, over 365.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3584, pruned_loss=0.1117, over 2783496.68 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07053, over 46777.74 utterances.], batch size: 365, lr: 2.95e-04
+2022-09-18 08:33:37,393 INFO [train.py:885] (0/2) Epoch 16, batch 3350, loss[loss=0.35, simple_loss=0.4123, pruned_loss=0.1439, over 14022.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05576, over 366.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3564, pruned_loss=0.1109, over 2783741.88 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06995, over 45335.05 utterances.], batch size: 366, lr: 2.94e-04
+2022-09-18 08:34:05,987 INFO [train.py:885] (0/2) Epoch 16, batch 3400, loss[loss=0.2207, simple_loss=0.2839, pruned_loss=0.07876, over 13282.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.1082, over 33.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3563, pruned_loss=0.1103, over 2787020.63 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06855, over 45057.84 utterances.], batch size: 33, lr: 2.94e-04
+2022-09-18 08:34:35,357 INFO [train.py:885] (0/2) Epoch 16, batch 3450, loss[loss=0.4104, simple_loss=0.4451, pruned_loss=0.1878, over 14190.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04498, over 306.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3597, pruned_loss=0.1127, over 2788151.19 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06929, over 46289.32 utterances.], batch size: 306, lr: 2.94e-04
+2022-09-18 08:35:04,267 INFO [train.py:885] (0/2) Epoch 16, batch 3500, loss[loss=0.2273, simple_loss=0.31, pruned_loss=0.0723, over 14150.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.05007, over 89.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3583, pruned_loss=0.112, over 2783503.22 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06884, over 45869.05 utterances.], batch size: 89, lr: 2.94e-04
+2022-09-18 08:35:34,131 INFO [train.py:885] (0/2) Epoch 16, batch 3550, loss[loss=0.272, simple_loss=0.3491, pruned_loss=0.09744, over 14410.00 frames. utt_duration=346.6 frames, utt_pad_proportion=0.03468, over 167.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3574, pruned_loss=0.111, over 2778540.92 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06952, over 45944.22 utterances.], batch size: 167, lr: 2.94e-04
+2022-09-18 08:36:04,266 INFO [train.py:885] (0/2) Epoch 16, batch 3600, loss[loss=0.5134, simple_loss=0.5964, pruned_loss=0.2152, over 12523.00 frames. utt_duration=63.36 frames, utt_pad_proportion=0.1438, over 810.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3582, pruned_loss=0.1113, over 2777080.83 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07144, over 46661.53 utterances.], batch size: 810, lr: 2.94e-04
+2022-09-18 08:36:33,981 INFO [train.py:885] (0/2) Epoch 16, batch 3650, loss[loss=0.1894, simple_loss=0.2357, pruned_loss=0.07154, over 12921.00 frames. utt_duration=1262 frames, utt_pad_proportion=0.1177, over 41.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3584, pruned_loss=0.1117, over 2774958.09 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07129, over 46220.79 utterances.], batch size: 41, lr: 2.94e-04
+2022-09-18 08:37:03,518 INFO [train.py:885] (0/2) Epoch 16, batch 3700, loss[loss=0.2776, simple_loss=0.3401, pruned_loss=0.1076, over 14161.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.04533, over 109.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3609, pruned_loss=0.1131, over 2773858.71 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07373, over 46991.28 utterances.], batch size: 109, lr: 2.94e-04
+2022-09-18 08:37:32,536 INFO [train.py:885] (0/2) Epoch 16, batch 3750, loss[loss=0.4013, simple_loss=0.4408, pruned_loss=0.1808, over 14188.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04507, over 306.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3589, pruned_loss=0.1126, over 2774841.82 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07298, over 46318.80 utterances.], batch size: 306, lr: 2.94e-04
+2022-09-18 08:38:01,948 INFO [train.py:885] (0/2) Epoch 16, batch 3800, loss[loss=0.2899, simple_loss=0.3649, pruned_loss=0.1074, over 14306.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03962, over 262.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.358, pruned_loss=0.1117, over 2777486.18 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07196, over 45853.21 utterances.], batch size: 262, lr: 2.94e-04
+2022-09-18 08:38:31,659 INFO [train.py:885] (0/2) Epoch 16, batch 3850, loss[loss=0.3131, simple_loss=0.3838, pruned_loss=0.1212, over 14350.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03609, over 210.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3582, pruned_loss=0.1116, over 2778539.35 frames. utt_duration=243.5 frames, utt_pad_proportion=0.0712, over 45916.26 utterances.], batch size: 210, lr: 2.94e-04
+2022-09-18 08:39:00,555 INFO [train.py:885] (0/2) Epoch 16, batch 3900, loss[loss=0.1935, simple_loss=0.2536, pruned_loss=0.06673, over 13042.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1145, over 33.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3595, pruned_loss=0.1112, over 2775951.92 frames. utt_duration=236 frames, utt_pad_proportion=0.07423, over 47354.31 utterances.], batch size: 33, lr: 2.94e-04
+2022-09-18 08:39:30,051 INFO [train.py:885] (0/2) Epoch 16, batch 3950, loss[loss=0.3115, simple_loss=0.3834, pruned_loss=0.1198, over 14316.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03923, over 262.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3594, pruned_loss=0.1118, over 2776610.33 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07299, over 46898.99 utterances.], batch size: 262, lr: 2.94e-04
+2022-09-18 08:39:59,802 INFO [train.py:885] (0/2) Epoch 16, batch 4000, loss[loss=0.3055, simple_loss=0.3991, pruned_loss=0.1059, over 13734.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07411, over 411.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3629, pruned_loss=0.1134, over 2776515.11 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07539, over 48227.48 utterances.], batch size: 411, lr: 2.94e-04
+2022-09-18 08:40:28,917 INFO [train.py:885] (0/2) Epoch 16, batch 4050, loss[loss=0.2415, simple_loss=0.3241, pruned_loss=0.07942, over 14276.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04027, over 154.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3622, pruned_loss=0.1138, over 2777747.20 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07442, over 47411.94 utterances.], batch size: 154, lr: 2.94e-04
+2022-09-18 08:40:58,409 INFO [train.py:885] (0/2) Epoch 16, batch 4100, loss[loss=0.44, simple_loss=0.4628, pruned_loss=0.2086, over 14262.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04122, over 306.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.362, pruned_loss=0.1142, over 2780394.75 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07293, over 46972.77 utterances.], batch size: 306, lr: 2.94e-04
+2022-09-18 08:41:28,342 INFO [train.py:885] (0/2) Epoch 16, batch 4150, loss[loss=0.3065, simple_loss=0.3719, pruned_loss=0.1205, over 14301.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.0385, over 180.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3626, pruned_loss=0.1146, over 2781933.75 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07264, over 46967.45 utterances.], batch size: 180, lr: 2.94e-04
+2022-09-18 08:41:57,993 INFO [train.py:885] (0/2) Epoch 16, batch 4200, loss[loss=0.3109, simple_loss=0.4014, pruned_loss=0.1102, over 13790.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07011, over 411.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3635, pruned_loss=0.1152, over 2780701.36 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0728, over 47257.80 utterances.], batch size: 411, lr: 2.94e-04
+2022-09-18 08:42:27,996 INFO [train.py:885] (0/2) Epoch 16, batch 4250, loss[loss=0.3317, simple_loss=0.3932, pruned_loss=0.135, over 14338.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03773, over 262.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3608, pruned_loss=0.1133, over 2778801.66 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07361, over 47427.35 utterances.], batch size: 262, lr: 2.94e-04
+2022-09-18 08:42:56,695 INFO [train.py:885] (0/2) Epoch 16, batch 4300, loss[loss=0.2127, simple_loss=0.2663, pruned_loss=0.07954, over 14198.00 frames. utt_duration=639.8 frames, utt_pad_proportion=0.04657, over 89.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3553, pruned_loss=0.1108, over 2779901.21 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07133, over 44582.22 utterances.], batch size: 89, lr: 2.94e-04
+2022-09-18 08:43:26,321 INFO [train.py:885] (0/2) Epoch 16, batch 4350, loss[loss=0.1996, simple_loss=0.2462, pruned_loss=0.07651, over 13724.00 frames. utt_duration=916.4 frames, utt_pad_proportion=0.07716, over 60.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3583, pruned_loss=0.1124, over 2784983.00 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07109, over 45515.73 utterances.], batch size: 60, lr: 2.94e-04
+2022-09-18 08:43:55,636 INFO [train.py:885] (0/2) Epoch 16, batch 4400, loss[loss=0.28, simple_loss=0.3548, pruned_loss=0.1026, over 14256.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04137, over 180.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3577, pruned_loss=0.1117, over 2786915.17 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07093, over 45710.31 utterances.], batch size: 180, lr: 2.94e-04
+2022-09-18 08:44:25,117 INFO [train.py:885] (0/2) Epoch 16, batch 4450, loss[loss=0.3353, simple_loss=0.414, pruned_loss=0.1282, over 13979.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05728, over 365.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3564, pruned_loss=0.111, over 2783991.95 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07181, over 45324.27 utterances.], batch size: 365, lr: 2.94e-04
+2022-09-18 08:44:54,833 INFO [train.py:885] (0/2) Epoch 16, batch 4500, loss[loss=0.2297, simple_loss=0.3044, pruned_loss=0.07753, over 14295.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04357, over 110.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3551, pruned_loss=0.1105, over 2780243.55 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07332, over 44986.68 utterances.], batch size: 110, lr: 2.94e-04
+2022-09-18 08:45:23,993 INFO [train.py:885] (0/2) Epoch 16, batch 4550, loss[loss=0.6344, simple_loss=0.6835, pruned_loss=0.2926, over 12408.00 frames. utt_duration=62.9 frames, utt_pad_proportion=0.15, over 810.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3549, pruned_loss=0.11, over 2782348.21 frames. utt_duration=247 frames, utt_pad_proportion=0.07332, over 45323.18 utterances.], batch size: 810, lr: 2.94e-04
+2022-09-18 08:45:53,990 INFO [train.py:885] (0/2) Epoch 16, batch 4600, loss[loss=0.3077, simple_loss=0.3763, pruned_loss=0.1195, over 14254.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04162, over 225.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3569, pruned_loss=0.1112, over 2782813.06 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07264, over 45724.08 utterances.], batch size: 225, lr: 2.94e-04
+2022-09-18 08:46:23,307 INFO [train.py:885] (0/2) Epoch 16, batch 4650, loss[loss=0.2276, simple_loss=0.2984, pruned_loss=0.07843, over 14176.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04406, over 109.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.357, pruned_loss=0.111, over 2784884.77 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07104, over 46080.48 utterances.], batch size: 109, lr: 2.93e-04
+2022-09-18 08:46:52,374 INFO [train.py:885] (0/2) Epoch 16, batch 4700, loss[loss=0.3029, simple_loss=0.3527, pruned_loss=0.1266, over 14087.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05515, over 98.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3561, pruned_loss=0.1103, over 2787865.89 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06974, over 45220.09 utterances.], batch size: 98, lr: 2.93e-04
+2022-09-18 08:47:22,113 INFO [train.py:885] (0/2) Epoch 16, batch 4750, loss[loss=0.2325, simple_loss=0.2853, pruned_loss=0.08986, over 13992.00 frames. utt_duration=934.3 frames, utt_pad_proportion=0.06097, over 60.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.356, pruned_loss=0.1113, over 2789872.49 frames. utt_duration=252.1 frames, utt_pad_proportion=0.0669, over 44534.04 utterances.], batch size: 60, lr: 2.93e-04
+2022-09-18 08:47:51,908 INFO [train.py:885] (0/2) Epoch 16, batch 4800, loss[loss=0.1793, simple_loss=0.2461, pruned_loss=0.05628, over 12501.00 frames. utt_duration=2085 frames, utt_pad_proportion=0.164, over 24.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3544, pruned_loss=0.1102, over 2790265.37 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06489, over 43886.92 utterances.], batch size: 24, lr: 2.93e-04
+2022-09-18 08:48:22,471 INFO [train.py:885] (0/2) Epoch 16, batch 4850, loss[loss=0.2857, simple_loss=0.3583, pruned_loss=0.1065, over 14319.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03789, over 210.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3573, pruned_loss=0.1113, over 2784753.20 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06869, over 45254.19 utterances.], batch size: 210, lr: 2.93e-04
+2022-09-18 08:48:51,174 INFO [train.py:885] (0/2) Epoch 16, batch 4900, loss[loss=0.3426, simple_loss=0.3937, pruned_loss=0.1457, over 14278.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.03996, over 180.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3579, pruned_loss=0.1116, over 2787463.75 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06878, over 44749.65 utterances.], batch size: 180, lr: 2.93e-04
+2022-09-18 08:49:20,262 INFO [train.py:885] (0/2) Epoch 16, batch 4950, loss[loss=0.1797, simple_loss=0.2193, pruned_loss=0.07012, over 12951.00 frames. utt_duration=1571 frames, utt_pad_proportion=0.115, over 33.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3566, pruned_loss=0.1104, over 2785396.78 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06967, over 44786.41 utterances.], batch size: 33, lr: 2.93e-04
+2022-09-18 08:49:49,887 INFO [train.py:885] (0/2) Epoch 16, batch 5000, loss[loss=0.1922, simple_loss=0.2511, pruned_loss=0.06659, over 13531.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08996, over 50.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3573, pruned_loss=0.1103, over 2786989.45 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06912, over 45482.77 utterances.], batch size: 50, lr: 2.93e-04
+2022-09-18 08:50:19,608 INFO [train.py:885] (0/2) Epoch 16, batch 5050, loss[loss=0.1825, simple_loss=0.2509, pruned_loss=0.05699, over 12922.00 frames. utt_duration=1568 frames, utt_pad_proportion=0.1295, over 33.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3565, pruned_loss=0.1106, over 2786034.51 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06805, over 44750.56 utterances.], batch size: 33, lr: 2.93e-04
+2022-09-18 08:50:56,527 INFO [train.py:885] (0/2) Epoch 16, batch 5100, loss[loss=0.2806, simple_loss=0.352, pruned_loss=0.1046, over 14295.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03876, over 180.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3568, pruned_loss=0.1108, over 2782606.84 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07077, over 45662.65 utterances.], batch size: 180, lr: 2.93e-04
+2022-09-18 08:51:26,486 INFO [train.py:885] (0/2) Epoch 16, batch 5150, loss[loss=0.3379, simple_loss=0.4292, pruned_loss=0.1233, over 13782.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07061, over 411.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.358, pruned_loss=0.1116, over 2778747.53 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07181, over 46586.43 utterances.], batch size: 411, lr: 2.93e-04
+2022-09-18 08:51:55,277 INFO [train.py:885] (0/2) Epoch 16, batch 5200, loss[loss=0.2431, simple_loss=0.3164, pruned_loss=0.08487, over 14267.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.04051, over 130.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3519, pruned_loss=0.1097, over 2778879.78 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06921, over 43090.86 utterances.], batch size: 130, lr: 2.93e-04
+2022-09-18 08:52:25,160 INFO [train.py:885] (0/2) Epoch 16, batch 5250, loss[loss=0.2232, simple_loss=0.2828, pruned_loss=0.08185, over 13907.00 frames. utt_duration=807.8 frames, utt_pad_proportion=0.05853, over 69.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3534, pruned_loss=0.11, over 2775588.00 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07188, over 44607.92 utterances.], batch size: 69, lr: 2.93e-04
+2022-09-18 08:52:54,721 INFO [train.py:885] (0/2) Epoch 16, batch 5300, loss[loss=0.3821, simple_loss=0.4242, pruned_loss=0.1699, over 14293.00 frames. utt_duration=254.4 frames, utt_pad_proportion=0.04007, over 226.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3548, pruned_loss=0.1106, over 2775905.16 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07213, over 45088.96 utterances.], batch size: 226, lr: 2.93e-04
+2022-09-18 08:53:24,212 INFO [train.py:885] (0/2) Epoch 16, batch 5350, loss[loss=0.3116, simple_loss=0.3794, pruned_loss=0.1219, over 14316.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03807, over 226.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3558, pruned_loss=0.1106, over 2778616.19 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06932, over 45392.60 utterances.], batch size: 226, lr: 2.93e-04
+2022-09-18 08:53:53,864 INFO [train.py:885] (0/2) Epoch 16, batch 5400, loss[loss=0.2079, simple_loss=0.263, pruned_loss=0.0764, over 12071.00 frames. utt_duration=2013 frames, utt_pad_proportion=0.1742, over 24.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3555, pruned_loss=0.1109, over 2779173.49 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06917, over 44619.63 utterances.], batch size: 24, lr: 2.93e-04
+2022-09-18 08:54:22,876 INFO [train.py:885] (0/2) Epoch 16, batch 5450, loss[loss=0.2621, simple_loss=0.3218, pruned_loss=0.1012, over 14306.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03787, over 130.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3566, pruned_loss=0.1111, over 2779857.69 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0702, over 44911.68 utterances.], batch size: 130, lr: 2.93e-04
+2022-09-18 08:54:52,565 INFO [train.py:885] (0/2) Epoch 16, batch 5500, loss[loss=0.4224, simple_loss=0.4528, pruned_loss=0.196, over 14322.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03797, over 283.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.359, pruned_loss=0.1129, over 2781432.95 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06967, over 45071.07 utterances.], batch size: 283, lr: 2.93e-04
+2022-09-18 08:55:21,734 INFO [train.py:885] (0/2) Epoch 16, batch 5550, loss[loss=0.279, simple_loss=0.3577, pruned_loss=0.1002, over 14242.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04244, over 225.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3607, pruned_loss=0.1136, over 2782298.91 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07017, over 46364.84 utterances.], batch size: 225, lr: 2.93e-04
+2022-09-18 08:55:51,737 INFO [train.py:885] (0/2) Epoch 16, batch 5600, loss[loss=0.4357, simple_loss=0.4989, pruned_loss=0.1863, over 13556.00 frames. utt_duration=98.15 frames, utt_pad_proportion=0.08268, over 560.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.361, pruned_loss=0.1141, over 2777562.53 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07094, over 46291.43 utterances.], batch size: 560, lr: 2.93e-04
+2022-09-18 08:56:21,238 INFO [train.py:885] (0/2) Epoch 16, batch 5650, loss[loss=0.4175, simple_loss=0.4955, pruned_loss=0.1698, over 13114.00 frames. utt_duration=81.85 frames, utt_pad_proportion=0.1103, over 653.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.359, pruned_loss=0.1132, over 2777920.52 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07097, over 45958.97 utterances.], batch size: 653, lr: 2.93e-04
+2022-09-18 08:56:50,291 INFO [train.py:885] (0/2) Epoch 16, batch 5700, loss[loss=0.1842, simple_loss=0.2478, pruned_loss=0.06031, over 13883.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06926, over 60.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.357, pruned_loss=0.1116, over 2778070.52 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07022, over 45740.94 utterances.], batch size: 60, lr: 2.93e-04
+2022-09-18 08:57:27,223 INFO [train.py:885] (0/2) Epoch 16, batch 5750, loss[loss=0.3609, simple_loss=0.4172, pruned_loss=0.1523, over 14336.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03742, over 283.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3586, pruned_loss=0.1118, over 2776806.37 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07201, over 46676.55 utterances.], batch size: 283, lr: 2.93e-04
+2022-09-18 08:57:56,852 INFO [train.py:885] (0/2) Epoch 16, batch 5800, loss[loss=0.4113, simple_loss=0.4887, pruned_loss=0.167, over 13628.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08123, over 477.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3577, pruned_loss=0.1114, over 2776635.63 frames. utt_duration=241 frames, utt_pad_proportion=0.07352, over 46372.94 utterances.], batch size: 477, lr: 2.93e-04
+2022-09-18 08:58:26,400 INFO [train.py:885] (0/2) Epoch 16, batch 5850, loss[loss=0.256, simple_loss=0.3271, pruned_loss=0.09243, over 14309.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04152, over 167.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3592, pruned_loss=0.1131, over 2777890.02 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07391, over 46525.80 utterances.], batch size: 167, lr: 2.93e-04
+2022-09-18 08:58:56,027 INFO [train.py:885] (0/2) Epoch 16, batch 5900, loss[loss=0.2431, simple_loss=0.3031, pruned_loss=0.09158, over 14170.00 frames. utt_duration=579.7 frames, utt_pad_proportion=0.04807, over 98.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3607, pruned_loss=0.1136, over 2777293.81 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07499, over 47221.64 utterances.], batch size: 98, lr: 2.93e-04
+2022-09-18 08:59:25,515 INFO [train.py:885] (0/2) Epoch 16, batch 5950, loss[loss=0.2918, simple_loss=0.3602, pruned_loss=0.1117, over 14374.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03208, over 244.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3577, pruned_loss=0.1122, over 2776158.88 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07447, over 46272.31 utterances.], batch size: 244, lr: 2.93e-04
+2022-09-18 08:59:55,039 INFO [train.py:885] (0/2) Epoch 16, batch 6000, loss[loss=0.4718, simple_loss=0.4859, pruned_loss=0.2288, over 14222.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04353, over 335.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3591, pruned_loss=0.1131, over 2784004.68 frames. utt_duration=244 frames, utt_pad_proportion=0.07146, over 45917.04 utterances.], batch size: 335, lr: 2.92e-04
+2022-09-18 08:59:55,040 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 08:59:59,215 INFO [train.py:914] (0/2) Epoch 16, validation: loss=0.196, simple_loss=0.2737, pruned_loss=0.05915, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 09:00:29,392 INFO [train.py:885] (0/2) Epoch 16, batch 6050, loss[loss=0.2385, simple_loss=0.3165, pruned_loss=0.08021, over 14258.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04509, over 141.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3562, pruned_loss=0.1116, over 2780331.69 frames. utt_duration=247.1 frames, utt_pad_proportion=0.0713, over 45283.36 utterances.], batch size: 141, lr: 2.92e-04
+2022-09-18 09:00:58,687 INFO [train.py:885] (0/2) Epoch 16, batch 6100, loss[loss=0.242, simple_loss=0.3204, pruned_loss=0.08186, over 14299.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04021, over 120.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3576, pruned_loss=0.1124, over 2778446.57 frames. utt_duration=243 frames, utt_pad_proportion=0.07197, over 46012.51 utterances.], batch size: 120, lr: 2.92e-04
+2022-09-18 09:01:28,191 INFO [train.py:885] (0/2) Epoch 16, batch 6150, loss[loss=0.3219, simple_loss=0.3856, pruned_loss=0.1291, over 14344.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03664, over 210.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3557, pruned_loss=0.1107, over 2775538.50 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07341, over 45360.45 utterances.], batch size: 210, lr: 2.92e-04
+2022-09-18 09:01:58,192 INFO [train.py:885] (0/2) Epoch 16, batch 6200, loss[loss=0.2179, simple_loss=0.2911, pruned_loss=0.07232, over 14035.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05673, over 98.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3571, pruned_loss=0.1122, over 2775396.84 frames. utt_duration=245 frames, utt_pad_proportion=0.07426, over 45597.41 utterances.], batch size: 98, lr: 2.92e-04
+2022-09-18 09:02:27,238 INFO [train.py:885] (0/2) Epoch 16, batch 6250, loss[loss=0.2128, simple_loss=0.2755, pruned_loss=0.07498, over 13890.00 frames. utt_duration=806.7 frames, utt_pad_proportion=0.05875, over 69.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3578, pruned_loss=0.1134, over 2777264.07 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07242, over 45134.45 utterances.], batch size: 69, lr: 2.92e-04
+2022-09-18 09:02:56,932 INFO [train.py:885] (0/2) Epoch 16, batch 6300, loss[loss=0.1634, simple_loss=0.2476, pruned_loss=0.0396, over 13657.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.0825, over 42.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3532, pruned_loss=0.1103, over 2778780.04 frames. utt_duration=256.1 frames, utt_pad_proportion=0.07052, over 43649.92 utterances.], batch size: 42, lr: 2.92e-04
+2022-09-18 09:03:26,221 INFO [train.py:885] (0/2) Epoch 16, batch 6350, loss[loss=0.313, simple_loss=0.3822, pruned_loss=0.1219, over 14202.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04485, over 306.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3532, pruned_loss=0.1104, over 2780560.56 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06926, over 43472.91 utterances.], batch size: 306, lr: 2.92e-04
+2022-09-18 09:03:56,520 INFO [train.py:885] (0/2) Epoch 16, batch 6400, loss[loss=0.4491, simple_loss=0.475, pruned_loss=0.2116, over 14200.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.0447, over 306.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3536, pruned_loss=0.1108, over 2780106.93 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06907, over 43456.54 utterances.], batch size: 306, lr: 2.92e-04
+2022-09-18 09:04:25,700 INFO [train.py:885] (0/2) Epoch 16, batch 6450, loss[loss=0.322, simple_loss=0.3798, pruned_loss=0.1321, over 14307.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03804, over 154.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.353, pruned_loss=0.1101, over 2780415.96 frames. utt_duration=258.6 frames, utt_pad_proportion=0.07062, over 43261.79 utterances.], batch size: 154, lr: 2.92e-04
+2022-09-18 09:04:55,290 INFO [train.py:885] (0/2) Epoch 16, batch 6500, loss[loss=0.2169, simple_loss=0.2908, pruned_loss=0.07153, over 13773.00 frames. utt_duration=799.8 frames, utt_pad_proportion=0.06887, over 69.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3517, pruned_loss=0.1092, over 2778884.86 frames. utt_duration=262.2 frames, utt_pad_proportion=0.07044, over 42639.09 utterances.], batch size: 69, lr: 2.92e-04
+2022-09-18 09:05:24,434 INFO [train.py:885] (0/2) Epoch 16, batch 6550, loss[loss=0.1581, simple_loss=0.2138, pruned_loss=0.05117, over 13168.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1148, over 33.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3515, pruned_loss=0.1097, over 2781236.76 frames. utt_duration=263.2 frames, utt_pad_proportion=0.07008, over 42504.10 utterances.], batch size: 33, lr: 2.92e-04
+2022-09-18 09:05:54,067 INFO [train.py:885] (0/2) Epoch 16, batch 6600, loss[loss=0.1722, simple_loss=0.2337, pruned_loss=0.05532, over 13545.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08419, over 50.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3515, pruned_loss=0.1095, over 2779056.54 frames. utt_duration=263.8 frames, utt_pad_proportion=0.0713, over 42376.86 utterances.], batch size: 50, lr: 2.92e-04
+2022-09-18 09:06:23,848 INFO [train.py:885] (0/2) Epoch 16, batch 6650, loss[loss=0.3308, simple_loss=0.3907, pruned_loss=0.1355, over 14346.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03647, over 195.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3525, pruned_loss=0.1107, over 2778984.52 frames. utt_duration=262.7 frames, utt_pad_proportion=0.07041, over 42557.32 utterances.], batch size: 195, lr: 2.92e-04
+2022-09-18 09:06:53,650 INFO [train.py:885] (0/2) Epoch 16, batch 6700, loss[loss=0.2932, simple_loss=0.377, pruned_loss=0.1047, over 13972.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05752, over 365.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3559, pruned_loss=0.1125, over 2778579.33 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07126, over 44092.28 utterances.], batch size: 365, lr: 2.92e-04
+2022-09-18 09:06:54,243 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-196000.pt
+2022-09-18 09:07:23,515 INFO [train.py:885] (0/2) Epoch 16, batch 6750, loss[loss=0.2175, simple_loss=0.2944, pruned_loss=0.07037, over 14076.00 frames. utt_duration=576.1 frames, utt_pad_proportion=0.05405, over 98.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3564, pruned_loss=0.1128, over 2776056.20 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07126, over 44427.80 utterances.], batch size: 98, lr: 2.92e-04
+2022-09-18 09:07:53,567 INFO [train.py:885] (0/2) Epoch 16, batch 6800, loss[loss=0.3325, simple_loss=0.3985, pruned_loss=0.1333, over 14205.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0446, over 306.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3556, pruned_loss=0.1116, over 2777764.73 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07098, over 44379.53 utterances.], batch size: 306, lr: 2.92e-04
+2022-09-18 09:08:23,540 INFO [train.py:885] (0/2) Epoch 16, batch 6850, loss[loss=0.1525, simple_loss=0.2265, pruned_loss=0.03919, over 13094.00 frames. utt_duration=1589 frames, utt_pad_proportion=0.102, over 33.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3555, pruned_loss=0.1113, over 2781587.91 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06965, over 44816.18 utterances.], batch size: 33, lr: 2.92e-04
+2022-09-18 09:08:52,662 INFO [train.py:885] (0/2) Epoch 16, batch 6900, loss[loss=0.2549, simple_loss=0.3302, pruned_loss=0.08978, over 14306.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03983, over 130.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3567, pruned_loss=0.1108, over 2783617.46 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07059, over 46231.55 utterances.], batch size: 130, lr: 2.92e-04
+2022-09-18 09:09:22,546 INFO [train.py:885] (0/2) Epoch 16, batch 6950, loss[loss=0.1941, simple_loss=0.272, pruned_loss=0.05812, over 13899.00 frames. utt_duration=807 frames, utt_pad_proportion=0.0605, over 69.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3578, pruned_loss=0.1108, over 2783347.40 frames. utt_duration=235.9 frames, utt_pad_proportion=0.0725, over 47483.47 utterances.], batch size: 69, lr: 2.92e-04
+2022-09-18 09:09:52,049 INFO [train.py:885] (0/2) Epoch 16, batch 7000, loss[loss=0.4522, simple_loss=0.5226, pruned_loss=0.1909, over 13133.00 frames. utt_duration=82.06 frames, utt_pad_proportion=0.108, over 653.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3551, pruned_loss=0.1099, over 2784289.85 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07225, over 46012.17 utterances.], batch size: 653, lr: 2.92e-04
+2022-09-18 09:10:20,977 INFO [train.py:885] (0/2) Epoch 16, batch 7050, loss[loss=0.2324, simple_loss=0.2983, pruned_loss=0.08325, over 14094.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05317, over 98.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3577, pruned_loss=0.1108, over 2785426.26 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07114, over 47384.64 utterances.], batch size: 98, lr: 2.92e-04
+2022-09-18 09:10:50,152 INFO [train.py:885] (0/2) Epoch 16, batch 7100, loss[loss=0.1747, simple_loss=0.2462, pruned_loss=0.05159, over 13582.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.08877, over 42.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3554, pruned_loss=0.1101, over 2781871.93 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07113, over 45978.98 utterances.], batch size: 42, lr: 2.92e-04
+2022-09-18 09:11:20,163 INFO [train.py:885] (0/2) Epoch 16, batch 7150, loss[loss=0.2792, simple_loss=0.3515, pruned_loss=0.1035, over 14311.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.04159, over 141.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3584, pruned_loss=0.1123, over 2782806.89 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07147, over 45945.74 utterances.], batch size: 141, lr: 2.92e-04
+2022-09-18 09:11:50,436 INFO [train.py:885] (0/2) Epoch 16, batch 7200, loss[loss=0.3426, simple_loss=0.3934, pruned_loss=0.1459, over 14237.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.0428, over 306.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3613, pruned_loss=0.1139, over 2777637.25 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07494, over 47608.77 utterances.], batch size: 306, lr: 2.92e-04
+2022-09-18 09:12:19,743 INFO [train.py:885] (0/2) Epoch 16, batch 7250, loss[loss=0.2408, simple_loss=0.2889, pruned_loss=0.09635, over 13821.00 frames. utt_duration=803 frames, utt_pad_proportion=0.06519, over 69.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3611, pruned_loss=0.1133, over 2776583.95 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07433, over 48099.84 utterances.], batch size: 69, lr: 2.92e-04
+2022-09-18 09:12:49,314 INFO [train.py:885] (0/2) Epoch 16, batch 7300, loss[loss=0.2604, simple_loss=0.3224, pruned_loss=0.09921, over 14337.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.0375, over 120.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3609, pruned_loss=0.1141, over 2779603.83 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07348, over 47331.18 utterances.], batch size: 120, lr: 2.92e-04
+2022-09-18 09:13:18,995 INFO [train.py:885] (0/2) Epoch 16, batch 7350, loss[loss=0.2754, simple_loss=0.3379, pruned_loss=0.1064, over 14325.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03936, over 154.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3604, pruned_loss=0.1144, over 2779953.68 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07308, over 46217.82 utterances.], batch size: 154, lr: 2.91e-04
+2022-09-18 09:13:48,862 INFO [train.py:885] (0/2) Epoch 16, batch 7400, loss[loss=0.2719, simple_loss=0.3379, pruned_loss=0.1029, over 14350.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.03768, over 154.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3582, pruned_loss=0.1131, over 2780546.84 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07224, over 45281.04 utterances.], batch size: 154, lr: 2.91e-04
+2022-09-18 09:14:18,026 INFO [train.py:885] (0/2) Epoch 16, batch 7450, loss[loss=0.1418, simple_loss=0.2058, pruned_loss=0.03888, over 13169.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1034, over 33.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3576, pruned_loss=0.1127, over 2780569.05 frames. utt_duration=250 frames, utt_pad_proportion=0.0723, over 44762.16 utterances.], batch size: 33, lr: 2.91e-04
+2022-09-18 09:14:48,100 INFO [train.py:885] (0/2) Epoch 16, batch 7500, loss[loss=0.2555, simple_loss=0.3287, pruned_loss=0.09119, over 14165.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04508, over 109.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3579, pruned_loss=0.1115, over 2780216.66 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07206, over 46000.73 utterances.], batch size: 109, lr: 2.91e-04
+2022-09-18 09:15:17,921 INFO [train.py:885] (0/2) Epoch 16, batch 7550, loss[loss=0.3732, simple_loss=0.4171, pruned_loss=0.1646, over 14280.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04085, over 283.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3574, pruned_loss=0.1113, over 2779922.51 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07269, over 46143.17 utterances.], batch size: 283, lr: 2.91e-04
+2022-09-18 09:15:47,020 INFO [train.py:885] (0/2) Epoch 16, batch 7600, loss[loss=0.2797, simple_loss=0.3509, pruned_loss=0.1042, over 14241.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04606, over 141.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3595, pruned_loss=0.1126, over 2784852.00 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07068, over 46102.40 utterances.], batch size: 141, lr: 2.91e-04
+2022-09-18 09:16:16,692 INFO [train.py:885] (0/2) Epoch 16, batch 7650, loss[loss=0.1867, simple_loss=0.2399, pruned_loss=0.06678, over 13657.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.07661, over 50.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3583, pruned_loss=0.1114, over 2781037.90 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07354, over 46719.62 utterances.], batch size: 50, lr: 2.91e-04
+2022-09-18 09:16:45,994 INFO [train.py:885] (0/2) Epoch 16, batch 7700, loss[loss=0.1886, simple_loss=0.2588, pruned_loss=0.0592, over 13904.00 frames. utt_duration=807.7 frames, utt_pad_proportion=0.05973, over 69.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3588, pruned_loss=0.1119, over 2780640.54 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07473, over 46855.81 utterances.], batch size: 69, lr: 2.91e-04
+2022-09-18 09:17:15,423 INFO [train.py:885] (0/2) Epoch 16, batch 7750, loss[loss=0.3447, simple_loss=0.3994, pruned_loss=0.145, over 14351.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03616, over 210.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3599, pruned_loss=0.1136, over 2784916.76 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07266, over 45988.63 utterances.], batch size: 210, lr: 2.91e-04
+2022-09-18 09:17:44,943 INFO [train.py:885] (0/2) Epoch 16, batch 7800, loss[loss=0.2766, simple_loss=0.3577, pruned_loss=0.09775, over 14374.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.03483, over 195.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3571, pruned_loss=0.1116, over 2783051.01 frames. utt_duration=247 frames, utt_pad_proportion=0.073, over 45334.84 utterances.], batch size: 195, lr: 2.91e-04
+2022-09-18 09:18:15,506 INFO [train.py:885] (0/2) Epoch 16, batch 7850, loss[loss=0.5562, simple_loss=0.6286, pruned_loss=0.2419, over 12514.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 810.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3585, pruned_loss=0.1113, over 2778724.21 frames. utt_duration=238 frames, utt_pad_proportion=0.07422, over 46996.48 utterances.], batch size: 810, lr: 2.91e-04
+2022-09-18 09:18:44,710 INFO [train.py:885] (0/2) Epoch 16, batch 7900, loss[loss=0.2641, simple_loss=0.3328, pruned_loss=0.09768, over 14332.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03768, over 120.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3596, pruned_loss=0.1121, over 2782654.52 frames. utt_duration=239 frames, utt_pad_proportion=0.07378, over 46853.14 utterances.], batch size: 120, lr: 2.91e-04
+2022-09-18 09:19:14,549 INFO [train.py:885] (0/2) Epoch 16, batch 7950, loss[loss=0.3372, simple_loss=0.3945, pruned_loss=0.14, over 14267.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04079, over 225.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3614, pruned_loss=0.1127, over 2785909.75 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07324, over 47766.76 utterances.], batch size: 225, lr: 2.91e-04
+2022-09-18 09:19:43,598 INFO [train.py:885] (0/2) Epoch 16, batch 8000, loss[loss=0.5863, simple_loss=0.6339, pruned_loss=0.2693, over 12424.00 frames. utt_duration=62.94 frames, utt_pad_proportion=0.1494, over 810.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3639, pruned_loss=0.1142, over 2785153.52 frames. utt_duration=231 frames, utt_pad_proportion=0.07423, over 48539.53 utterances.], batch size: 810, lr: 2.91e-04
+2022-09-18 09:20:13,207 INFO [train.py:885] (0/2) Epoch 16, batch 8050, loss[loss=0.4051, simple_loss=0.4774, pruned_loss=0.1664, over 13678.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.0778, over 477.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3613, pruned_loss=0.1135, over 2784680.76 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07475, over 46654.33 utterances.], batch size: 477, lr: 2.91e-04
+2022-09-18 09:20:42,570 INFO [train.py:885] (0/2) Epoch 16, batch 8100, loss[loss=0.3347, simple_loss=0.3934, pruned_loss=0.138, over 14209.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04405, over 306.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3606, pruned_loss=0.1134, over 2782515.05 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07412, over 46842.03 utterances.], batch size: 306, lr: 2.91e-04
+2022-09-18 09:21:12,130 INFO [train.py:885] (0/2) Epoch 16, batch 8150, loss[loss=0.1461, simple_loss=0.194, pruned_loss=0.04916, over 12797.00 frames. utt_duration=2134 frames, utt_pad_proportion=0.1269, over 24.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3593, pruned_loss=0.1131, over 2785654.11 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07354, over 45858.68 utterances.], batch size: 24, lr: 2.91e-04
+2022-09-18 09:21:41,270 INFO [train.py:885] (0/2) Epoch 16, batch 8200, loss[loss=0.2881, simple_loss=0.3643, pruned_loss=0.1059, over 14381.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03585, over 196.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3567, pruned_loss=0.1116, over 2787140.57 frames. utt_duration=250.6 frames, utt_pad_proportion=0.0708, over 44746.51 utterances.], batch size: 196, lr: 2.91e-04
+2022-09-18 09:22:11,110 INFO [train.py:885] (0/2) Epoch 16, batch 8250, loss[loss=0.4667, simple_loss=0.5222, pruned_loss=0.2056, over 13751.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07303, over 411.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3616, pruned_loss=0.1139, over 2782810.97 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07358, over 46291.01 utterances.], batch size: 411, lr: 2.91e-04
+2022-09-18 09:22:40,469 INFO [train.py:885] (0/2) Epoch 16, batch 8300, loss[loss=0.2004, simple_loss=0.2675, pruned_loss=0.06667, over 13677.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.07998, over 50.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3627, pruned_loss=0.1137, over 2784374.40 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07247, over 47114.75 utterances.], batch size: 50, lr: 2.91e-04
+2022-09-18 09:23:10,874 INFO [train.py:885] (0/2) Epoch 16, batch 8350, loss[loss=0.258, simple_loss=0.3255, pruned_loss=0.09525, over 14332.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03966, over 120.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3646, pruned_loss=0.1151, over 2782648.07 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07258, over 47968.13 utterances.], batch size: 120, lr: 2.91e-04
+2022-09-18 09:23:39,701 INFO [train.py:885] (0/2) Epoch 16, batch 8400, loss[loss=0.1987, simple_loss=0.2651, pruned_loss=0.0662, over 13955.00 frames. utt_duration=810.3 frames, utt_pad_proportion=0.05664, over 69.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3602, pruned_loss=0.1129, over 2780150.92 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07286, over 46086.06 utterances.], batch size: 69, lr: 2.91e-04
+2022-09-18 09:24:09,832 INFO [train.py:885] (0/2) Epoch 16, batch 8450, loss[loss=0.2612, simple_loss=0.3291, pruned_loss=0.0966, over 14303.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03818, over 130.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3625, pruned_loss=0.1144, over 2785155.40 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07122, over 46661.58 utterances.], batch size: 130, lr: 2.91e-04
+2022-09-18 09:24:38,577 INFO [train.py:885] (0/2) Epoch 16, batch 8500, loss[loss=0.2295, simple_loss=0.2935, pruned_loss=0.08271, over 14095.00 frames. utt_duration=577.1 frames, utt_pad_proportion=0.05239, over 98.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3593, pruned_loss=0.1126, over 2784042.50 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07026, over 45564.60 utterances.], batch size: 98, lr: 2.91e-04
+2022-09-18 09:25:09,169 INFO [train.py:885] (0/2) Epoch 16, batch 8550, loss[loss=0.355, simple_loss=0.4117, pruned_loss=0.1492, over 14376.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03207, over 244.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.36, pruned_loss=0.1129, over 2777953.53 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07198, over 46716.98 utterances.], batch size: 244, lr: 2.91e-04
+2022-09-18 09:25:38,198 INFO [train.py:885] (0/2) Epoch 16, batch 8600, loss[loss=0.5151, simple_loss=0.5999, pruned_loss=0.2152, over 12423.00 frames. utt_duration=62.93 frames, utt_pad_proportion=0.1496, over 810.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3607, pruned_loss=0.1127, over 2775827.93 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07317, over 47576.94 utterances.], batch size: 810, lr: 2.91e-04
+2022-09-18 09:26:08,263 INFO [train.py:885] (0/2) Epoch 16, batch 8650, loss[loss=0.3376, simple_loss=0.4317, pruned_loss=0.1218, over 13632.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07704, over 560.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3607, pruned_loss=0.1125, over 2775635.14 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07358, over 47287.72 utterances.], batch size: 560, lr: 2.91e-04
+2022-09-18 09:26:37,371 INFO [train.py:885] (0/2) Epoch 16, batch 8700, loss[loss=0.3371, simple_loss=0.4134, pruned_loss=0.1304, over 13961.00 frames. utt_duration=154 frames, utt_pad_proportion=0.06089, over 366.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3592, pruned_loss=0.1125, over 2781557.25 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07099, over 45718.58 utterances.], batch size: 366, lr: 2.90e-04
+2022-09-18 09:27:07,315 INFO [train.py:885] (0/2) Epoch 16, batch 8750, loss[loss=0.3613, simple_loss=0.4129, pruned_loss=0.1548, over 14361.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03509, over 210.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3577, pruned_loss=0.1116, over 2779925.39 frames. utt_duration=246.2 frames, utt_pad_proportion=0.0723, over 45430.91 utterances.], batch size: 210, lr: 2.90e-04
+2022-09-18 09:27:36,615 INFO [train.py:885] (0/2) Epoch 16, batch 8800, loss[loss=0.23, simple_loss=0.2988, pruned_loss=0.08054, over 14312.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03914, over 120.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3557, pruned_loss=0.11, over 2780349.22 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07152, over 45145.54 utterances.], batch size: 120, lr: 2.90e-04
+2022-09-18 09:28:05,992 INFO [train.py:885] (0/2) Epoch 16, batch 8850, loss[loss=0.3439, simple_loss=0.3952, pruned_loss=0.1463, over 14326.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.0375, over 226.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3566, pruned_loss=0.1097, over 2778273.28 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07133, over 45929.33 utterances.], batch size: 226, lr: 2.90e-04
+2022-09-18 09:28:35,502 INFO [train.py:885] (0/2) Epoch 16, batch 8900, loss[loss=0.3272, simple_loss=0.3883, pruned_loss=0.1331, over 14328.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03905, over 244.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3564, pruned_loss=0.1087, over 2778565.87 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07228, over 46510.99 utterances.], batch size: 244, lr: 2.90e-04
+2022-09-18 09:29:04,954 INFO [train.py:885] (0/2) Epoch 16, batch 8950, loss[loss=0.2977, simple_loss=0.3723, pruned_loss=0.1116, over 14312.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03855, over 283.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.357, pruned_loss=0.109, over 2772941.87 frames. utt_duration=238.5 frames, utt_pad_proportion=0.074, over 46792.38 utterances.], batch size: 283, lr: 2.90e-04
+2022-09-18 09:29:34,106 INFO [train.py:885] (0/2) Epoch 16, batch 9000, loss[loss=0.4048, simple_loss=0.4432, pruned_loss=0.1832, over 14229.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04265, over 306.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3566, pruned_loss=0.1092, over 2778917.01 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07069, over 45376.45 utterances.], batch size: 306, lr: 2.90e-04
+2022-09-18 09:29:34,107 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 09:29:38,308 INFO [train.py:914] (0/2) Epoch 16, validation: loss=0.2025, simple_loss=0.2821, pruned_loss=0.06147, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 09:30:08,356 INFO [train.py:885] (0/2) Epoch 16, batch 9050, loss[loss=0.2207, simple_loss=0.2796, pruned_loss=0.08095, over 13768.00 frames. utt_duration=919.4 frames, utt_pad_proportion=0.07598, over 60.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3602, pruned_loss=0.1122, over 2779413.46 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07128, over 46375.38 utterances.], batch size: 60, lr: 2.90e-04
+2022-09-18 09:30:37,766 INFO [train.py:885] (0/2) Epoch 16, batch 9100, loss[loss=0.3238, simple_loss=0.4067, pruned_loss=0.1204, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07124, over 411.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3573, pruned_loss=0.1106, over 2783897.82 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06795, over 45190.42 utterances.], batch size: 411, lr: 2.90e-04
+2022-09-18 09:31:07,640 INFO [train.py:885] (0/2) Epoch 16, batch 9150, loss[loss=0.2403, simple_loss=0.3042, pruned_loss=0.08826, over 14024.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.05378, over 79.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.36, pruned_loss=0.1119, over 2779462.37 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07068, over 46639.59 utterances.], batch size: 79, lr: 2.90e-04
+2022-09-18 09:31:37,009 INFO [train.py:885] (0/2) Epoch 16, batch 9200, loss[loss=0.2864, simple_loss=0.3476, pruned_loss=0.1126, over 14306.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04096, over 154.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3574, pruned_loss=0.111, over 2780698.45 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06962, over 45510.01 utterances.], batch size: 154, lr: 2.90e-04
+2022-09-18 09:32:06,793 INFO [train.py:885] (0/2) Epoch 16, batch 9250, loss[loss=0.2893, simple_loss=0.3674, pruned_loss=0.1056, over 14308.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03952, over 262.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3566, pruned_loss=0.1107, over 2788107.33 frames. utt_duration=251.7 frames, utt_pad_proportion=0.0678, over 44577.70 utterances.], batch size: 262, lr: 2.90e-04
+2022-09-18 09:32:35,319 INFO [train.py:885] (0/2) Epoch 16, batch 9300, loss[loss=0.4733, simple_loss=0.5309, pruned_loss=0.2079, over 13615.00 frames. utt_duration=98.6 frames, utt_pad_proportion=0.07852, over 560.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3562, pruned_loss=0.1111, over 2785367.08 frames. utt_duration=253 frames, utt_pad_proportion=0.06934, over 44291.16 utterances.], batch size: 560, lr: 2.90e-04
+2022-09-18 09:33:04,771 INFO [train.py:885] (0/2) Epoch 16, batch 9350, loss[loss=0.3828, simple_loss=0.466, pruned_loss=0.1498, over 13594.00 frames. utt_duration=98.55 frames, utt_pad_proportion=0.07896, over 560.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3573, pruned_loss=0.1115, over 2783311.71 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07101, over 45403.16 utterances.], batch size: 560, lr: 2.90e-04
+2022-09-18 09:33:34,410 INFO [train.py:885] (0/2) Epoch 16, batch 9400, loss[loss=0.5433, simple_loss=0.6128, pruned_loss=0.2369, over 12528.00 frames. utt_duration=63.44 frames, utt_pad_proportion=0.1427, over 810.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3538, pruned_loss=0.11, over 2779741.46 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07187, over 44218.43 utterances.], batch size: 810, lr: 2.90e-04
+2022-09-18 09:34:03,964 INFO [train.py:885] (0/2) Epoch 16, batch 9450, loss[loss=0.2877, simple_loss=0.3801, pruned_loss=0.09767, over 13996.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05613, over 365.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3577, pruned_loss=0.1115, over 2781324.84 frames. utt_duration=243 frames, utt_pad_proportion=0.07269, over 46059.59 utterances.], batch size: 365, lr: 2.90e-04
+2022-09-18 09:34:33,349 INFO [train.py:885] (0/2) Epoch 16, batch 9500, loss[loss=0.1507, simple_loss=0.2166, pruned_loss=0.04244, over 13517.00 frames. utt_duration=1320 frames, utt_pad_proportion=0.07801, over 41.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3533, pruned_loss=0.11, over 2782677.46 frames. utt_duration=257.5 frames, utt_pad_proportion=0.07048, over 43475.77 utterances.], batch size: 41, lr: 2.90e-04
+2022-09-18 09:35:02,980 INFO [train.py:885] (0/2) Epoch 16, batch 9550, loss[loss=0.3409, simple_loss=0.3999, pruned_loss=0.1409, over 14230.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04307, over 306.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3556, pruned_loss=0.1116, over 2782382.94 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07162, over 43826.32 utterances.], batch size: 306, lr: 2.90e-04
+2022-09-18 09:35:32,928 INFO [train.py:885] (0/2) Epoch 16, batch 9600, loss[loss=0.268, simple_loss=0.3383, pruned_loss=0.09878, over 14296.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04098, over 154.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3552, pruned_loss=0.1112, over 2783972.17 frames. utt_duration=255.8 frames, utt_pad_proportion=0.07092, over 43781.35 utterances.], batch size: 154, lr: 2.90e-04
+2022-09-18 09:36:02,661 INFO [train.py:885] (0/2) Epoch 16, batch 9650, loss[loss=0.1965, simple_loss=0.2583, pruned_loss=0.06739, over 14051.00 frames. utt_duration=816 frames, utt_pad_proportion=0.05006, over 69.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3513, pruned_loss=0.1088, over 2789818.21 frames. utt_duration=265.4 frames, utt_pad_proportion=0.06835, over 42285.30 utterances.], batch size: 69, lr: 2.90e-04
+2022-09-18 09:36:31,469 INFO [train.py:885] (0/2) Epoch 16, batch 9700, loss[loss=0.191, simple_loss=0.2668, pruned_loss=0.05761, over 14218.00 frames. utt_duration=640.4 frames, utt_pad_proportion=0.04553, over 89.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3484, pruned_loss=0.107, over 2787372.24 frames. utt_duration=268.8 frames, utt_pad_proportion=0.06742, over 41698.89 utterances.], batch size: 89, lr: 2.90e-04
+2022-09-18 09:37:01,660 INFO [train.py:885] (0/2) Epoch 16, batch 9750, loss[loss=0.2426, simple_loss=0.324, pruned_loss=0.08059, over 14250.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04549, over 141.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3532, pruned_loss=0.1092, over 2780425.88 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07111, over 43998.47 utterances.], batch size: 141, lr: 2.90e-04
+2022-09-18 09:37:30,670 INFO [train.py:885] (0/2) Epoch 16, batch 9800, loss[loss=0.2707, simple_loss=0.3555, pruned_loss=0.09296, over 14351.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03647, over 210.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3569, pruned_loss=0.1113, over 2781871.42 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07142, over 45089.62 utterances.], batch size: 210, lr: 2.90e-04
+2022-09-18 09:37:59,857 INFO [train.py:885] (0/2) Epoch 16, batch 9850, loss[loss=0.3475, simple_loss=0.4054, pruned_loss=0.1448, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03912, over 283.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3582, pruned_loss=0.1117, over 2785051.62 frames. utt_duration=245 frames, utt_pad_proportion=0.07118, over 45750.51 utterances.], batch size: 283, lr: 2.90e-04
+2022-09-18 09:38:29,608 INFO [train.py:885] (0/2) Epoch 16, batch 9900, loss[loss=0.1777, simple_loss=0.2279, pruned_loss=0.06372, over 12366.00 frames. utt_duration=2062 frames, utt_pad_proportion=0.1558, over 24.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3574, pruned_loss=0.1121, over 2783453.16 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07054, over 45093.99 utterances.], batch size: 24, lr: 2.90e-04
+2022-09-18 09:38:59,409 INFO [train.py:885] (0/2) Epoch 16, batch 9950, loss[loss=0.2028, simple_loss=0.2704, pruned_loss=0.06764, over 13359.00 frames. utt_duration=2056 frames, utt_pad_proportion=0.09093, over 26.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3567, pruned_loss=0.1114, over 2780542.75 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07081, over 45201.41 utterances.], batch size: 26, lr: 2.90e-04
+2022-09-18 09:39:28,646 INFO [train.py:885] (0/2) Epoch 16, batch 10000, loss[loss=0.218, simple_loss=0.2931, pruned_loss=0.07147, over 13923.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.05755, over 69.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3589, pruned_loss=0.1121, over 2782544.61 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07215, over 45778.19 utterances.], batch size: 69, lr: 2.90e-04
+2022-09-18 09:39:58,474 INFO [train.py:885] (0/2) Epoch 16, batch 10050, loss[loss=0.2373, simple_loss=0.3006, pruned_loss=0.08699, over 14075.00 frames. utt_duration=713.8 frames, utt_pad_proportion=0.05579, over 79.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3595, pruned_loss=0.1125, over 2781734.45 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07196, over 45778.78 utterances.], batch size: 79, lr: 2.89e-04
+2022-09-18 09:40:27,449 INFO [train.py:885] (0/2) Epoch 16, batch 10100, loss[loss=0.2022, simple_loss=0.2864, pruned_loss=0.05901, over 14175.00 frames. utt_duration=638.8 frames, utt_pad_proportion=0.04228, over 89.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3624, pruned_loss=0.1145, over 2786631.43 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07019, over 45610.26 utterances.], batch size: 89, lr: 2.89e-04
+2022-09-18 09:40:57,421 INFO [train.py:885] (0/2) Epoch 16, batch 10150, loss[loss=0.2049, simple_loss=0.2667, pruned_loss=0.07161, over 13755.00 frames. utt_duration=798.9 frames, utt_pad_proportion=0.07, over 69.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.36, pruned_loss=0.1133, over 2783031.80 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07052, over 45037.02 utterances.], batch size: 69, lr: 2.89e-04
+2022-09-18 09:41:26,962 INFO [train.py:885] (0/2) Epoch 16, batch 10200, loss[loss=0.2219, simple_loss=0.3037, pruned_loss=0.07006, over 14286.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03915, over 130.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3625, pruned_loss=0.1142, over 2783169.54 frames. utt_duration=242 frames, utt_pad_proportion=0.07199, over 46288.66 utterances.], batch size: 130, lr: 2.89e-04
+2022-09-18 09:42:05,259 INFO [train.py:885] (0/2) Epoch 16, batch 10250, loss[loss=0.2165, simple_loss=0.2844, pruned_loss=0.07429, over 13919.00 frames. utt_duration=929.5 frames, utt_pad_proportion=0.06583, over 60.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3619, pruned_loss=0.1147, over 2783902.01 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07106, over 45992.64 utterances.], batch size: 60, lr: 2.89e-04
+2022-09-18 09:42:34,768 INFO [train.py:885] (0/2) Epoch 16, batch 10300, loss[loss=0.4171, simple_loss=0.5014, pruned_loss=0.1664, over 13201.00 frames. utt_duration=82.34 frames, utt_pad_proportion=0.105, over 653.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3581, pruned_loss=0.113, over 2782073.29 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07049, over 44531.46 utterances.], batch size: 653, lr: 2.89e-04
+2022-09-18 09:43:03,766 INFO [train.py:885] (0/2) Epoch 16, batch 10350, loss[loss=0.2492, simple_loss=0.3107, pruned_loss=0.09385, over 14177.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04828, over 89.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3535, pruned_loss=0.1108, over 2785209.67 frames. utt_duration=263.7 frames, utt_pad_proportion=0.06861, over 42480.74 utterances.], batch size: 89, lr: 2.89e-04
+2022-09-18 09:43:33,438 INFO [train.py:885] (0/2) Epoch 16, batch 10400, loss[loss=0.4371, simple_loss=0.5014, pruned_loss=0.1865, over 13573.00 frames. utt_duration=98.35 frames, utt_pad_proportion=0.08082, over 560.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3513, pruned_loss=0.1091, over 2787842.03 frames. utt_duration=267.1 frames, utt_pad_proportion=0.06731, over 41975.08 utterances.], batch size: 560, lr: 2.89e-04
+2022-09-18 09:44:03,479 INFO [train.py:885] (0/2) Epoch 16, batch 10450, loss[loss=0.3426, simple_loss=0.434, pruned_loss=0.1256, over 13607.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.0787, over 560.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3541, pruned_loss=0.1097, over 2788407.90 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06787, over 43940.33 utterances.], batch size: 560, lr: 2.89e-04
+2022-09-18 09:44:32,692 INFO [train.py:885] (0/2) Epoch 16, batch 10500, loss[loss=0.2887, simple_loss=0.3715, pruned_loss=0.103, over 14384.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03599, over 244.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3529, pruned_loss=0.1093, over 2786409.67 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06847, over 43561.35 utterances.], batch size: 244, lr: 2.89e-04
+2022-09-18 09:45:02,624 INFO [train.py:885] (0/2) Epoch 16, batch 10550, loss[loss=0.2643, simple_loss=0.3427, pruned_loss=0.09291, over 14335.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03976, over 167.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3517, pruned_loss=0.1086, over 2784625.84 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06821, over 43240.55 utterances.], batch size: 167, lr: 2.89e-04
+2022-09-18 09:45:31,974 INFO [train.py:885] (0/2) Epoch 16, batch 10600, loss[loss=0.3006, simple_loss=0.3724, pruned_loss=0.1144, over 14330.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03733, over 195.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3561, pruned_loss=0.1114, over 2784316.28 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07012, over 44738.19 utterances.], batch size: 195, lr: 2.89e-04
+2022-09-18 09:46:01,897 INFO [train.py:885] (0/2) Epoch 16, batch 10650, loss[loss=0.3083, simple_loss=0.3654, pruned_loss=0.1256, over 14311.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03894, over 120.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3527, pruned_loss=0.11, over 2779221.25 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06998, over 43965.14 utterances.], batch size: 120, lr: 2.89e-04
+2022-09-18 09:46:31,222 INFO [train.py:885] (0/2) Epoch 16, batch 10700, loss[loss=0.1783, simple_loss=0.2674, pruned_loss=0.04456, over 13570.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08346, over 50.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3554, pruned_loss=0.1101, over 2781018.95 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07139, over 45521.72 utterances.], batch size: 50, lr: 2.89e-04
+2022-09-18 09:46:31,801 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-200000.pt
+2022-09-18 09:47:01,081 INFO [train.py:885] (0/2) Epoch 16, batch 10750, loss[loss=0.3145, simple_loss=0.3857, pruned_loss=0.1217, over 14364.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03505, over 195.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3593, pruned_loss=0.1121, over 2780423.38 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07194, over 46791.72 utterances.], batch size: 195, lr: 2.89e-04
+2022-09-18 09:47:30,648 INFO [train.py:885] (0/2) Epoch 16, batch 10800, loss[loss=0.3202, simple_loss=0.381, pruned_loss=0.1297, over 14316.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03923, over 262.00 utterances.], tot_loss[loss=0.292, simple_loss=0.359, pruned_loss=0.1125, over 2781422.62 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07041, over 45990.60 utterances.], batch size: 262, lr: 2.89e-04
+2022-09-18 09:48:00,041 INFO [train.py:885] (0/2) Epoch 16, batch 10850, loss[loss=0.2591, simple_loss=0.3365, pruned_loss=0.0909, over 14335.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03961, over 167.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3562, pruned_loss=0.1111, over 2778774.72 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07049, over 44740.13 utterances.], batch size: 167, lr: 2.89e-04
+2022-09-18 09:48:29,381 INFO [train.py:885] (0/2) Epoch 16, batch 10900, loss[loss=0.3945, simple_loss=0.4859, pruned_loss=0.1515, over 13208.00 frames. utt_duration=82.4 frames, utt_pad_proportion=0.1044, over 653.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3564, pruned_loss=0.1109, over 2779480.63 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07101, over 45172.63 utterances.], batch size: 653, lr: 2.89e-04
+2022-09-18 09:48:58,472 INFO [train.py:885] (0/2) Epoch 16, batch 10950, loss[loss=0.2122, simple_loss=0.2834, pruned_loss=0.07046, over 13572.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08714, over 50.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3582, pruned_loss=0.1122, over 2780780.31 frames. utt_duration=245.5 frames, utt_pad_proportion=0.0709, over 45573.60 utterances.], batch size: 50, lr: 2.89e-04
+2022-09-18 09:49:27,937 INFO [train.py:885] (0/2) Epoch 16, batch 11000, loss[loss=0.2916, simple_loss=0.387, pruned_loss=0.09815, over 13748.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07338, over 411.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.359, pruned_loss=0.1118, over 2778897.44 frames. utt_duration=240 frames, utt_pad_proportion=0.07053, over 46599.10 utterances.], batch size: 411, lr: 2.89e-04
+2022-09-18 09:49:56,948 INFO [train.py:885] (0/2) Epoch 16, batch 11050, loss[loss=0.2428, simple_loss=0.3206, pruned_loss=0.08254, over 14294.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04215, over 120.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3534, pruned_loss=0.109, over 2780155.21 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07032, over 43906.57 utterances.], batch size: 120, lr: 2.89e-04
+2022-09-18 09:50:26,903 INFO [train.py:885] (0/2) Epoch 16, batch 11100, loss[loss=0.2438, simple_loss=0.3127, pruned_loss=0.08749, over 14320.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03879, over 120.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3546, pruned_loss=0.1095, over 2777386.90 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07169, over 44823.69 utterances.], batch size: 120, lr: 2.89e-04
+2022-09-18 09:50:56,792 INFO [train.py:885] (0/2) Epoch 16, batch 11150, loss[loss=0.2865, simple_loss=0.3475, pruned_loss=0.1127, over 14261.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04497, over 141.00 utterances.], tot_loss[loss=0.29, simple_loss=0.357, pruned_loss=0.1115, over 2778957.33 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07125, over 45187.03 utterances.], batch size: 141, lr: 2.89e-04
+2022-09-18 09:51:26,130 INFO [train.py:885] (0/2) Epoch 16, batch 11200, loss[loss=0.3538, simple_loss=0.4077, pruned_loss=0.15, over 14239.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04262, over 335.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3542, pruned_loss=0.1101, over 2777665.55 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07178, over 44373.15 utterances.], batch size: 335, lr: 2.89e-04
+2022-09-18 09:51:55,302 INFO [train.py:885] (0/2) Epoch 16, batch 11250, loss[loss=0.3572, simple_loss=0.411, pruned_loss=0.1517, over 14298.00 frames. utt_duration=294.8 frames, utt_pad_proportion=0.03969, over 195.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3551, pruned_loss=0.1111, over 2782517.64 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07052, over 44148.03 utterances.], batch size: 195, lr: 2.89e-04
+2022-09-18 09:52:25,436 INFO [train.py:885] (0/2) Epoch 16, batch 11300, loss[loss=0.1712, simple_loss=0.2335, pruned_loss=0.05442, over 13440.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.0818, over 41.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3536, pruned_loss=0.1095, over 2785111.37 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06893, over 44375.01 utterances.], batch size: 41, lr: 2.89e-04
+2022-09-18 09:52:54,942 INFO [train.py:885] (0/2) Epoch 16, batch 11350, loss[loss=0.2591, simple_loss=0.3324, pruned_loss=0.09289, over 14347.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.03917, over 142.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3551, pruned_loss=0.1098, over 2791444.49 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06594, over 44278.27 utterances.], batch size: 142, lr: 2.89e-04
+2022-09-18 09:53:24,552 INFO [train.py:885] (0/2) Epoch 16, batch 11400, loss[loss=0.5618, simple_loss=0.6284, pruned_loss=0.2476, over 12436.00 frames. utt_duration=63.05 frames, utt_pad_proportion=0.148, over 810.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3597, pruned_loss=0.1119, over 2784514.88 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07245, over 46628.62 utterances.], batch size: 810, lr: 2.89e-04
+2022-09-18 09:53:53,625 INFO [train.py:885] (0/2) Epoch 16, batch 11450, loss[loss=0.4027, simple_loss=0.4417, pruned_loss=0.1819, over 14208.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04463, over 306.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3609, pruned_loss=0.1129, over 2782782.13 frames. utt_duration=240 frames, utt_pad_proportion=0.07299, over 46658.60 utterances.], batch size: 306, lr: 2.88e-04
+2022-09-18 09:54:23,110 INFO [train.py:885] (0/2) Epoch 16, batch 11500, loss[loss=0.2719, simple_loss=0.3493, pruned_loss=0.0972, over 14330.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.0378, over 195.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3594, pruned_loss=0.112, over 2776480.97 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07489, over 46816.83 utterances.], batch size: 195, lr: 2.88e-04
+2022-09-18 09:54:52,638 INFO [train.py:885] (0/2) Epoch 16, batch 11550, loss[loss=0.2268, simple_loss=0.2972, pruned_loss=0.07819, over 13194.00 frames. utt_duration=1289 frames, utt_pad_proportion=0.09811, over 41.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3556, pruned_loss=0.1099, over 2777016.48 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07381, over 45708.05 utterances.], batch size: 41, lr: 2.88e-04
+2022-09-18 09:55:21,991 INFO [train.py:885] (0/2) Epoch 16, batch 11600, loss[loss=0.3755, simple_loss=0.4536, pruned_loss=0.1487, over 13638.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08066, over 477.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3611, pruned_loss=0.1131, over 2777246.68 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07395, over 47463.51 utterances.], batch size: 477, lr: 2.88e-04
+2022-09-18 09:55:51,878 INFO [train.py:885] (0/2) Epoch 16, batch 11650, loss[loss=0.3706, simple_loss=0.4144, pruned_loss=0.1634, over 14248.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.0419, over 180.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3597, pruned_loss=0.1125, over 2778100.75 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07233, over 47192.53 utterances.], batch size: 180, lr: 2.88e-04
+2022-09-18 09:56:21,268 INFO [train.py:885] (0/2) Epoch 16, batch 11700, loss[loss=0.333, simple_loss=0.4122, pruned_loss=0.1269, over 13735.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07394, over 411.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3586, pruned_loss=0.1121, over 2777928.59 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07288, over 46300.10 utterances.], batch size: 411, lr: 2.88e-04
+2022-09-18 09:56:50,856 INFO [train.py:885] (0/2) Epoch 16, batch 11750, loss[loss=0.3106, simple_loss=0.3673, pruned_loss=0.127, over 14295.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.0423, over 142.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3553, pruned_loss=0.1105, over 2775503.68 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07251, over 45349.77 utterances.], batch size: 142, lr: 2.88e-04
+2022-09-18 09:57:20,757 INFO [train.py:885] (0/2) Epoch 16, batch 11800, loss[loss=0.4129, simple_loss=0.4503, pruned_loss=0.1877, over 14183.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04528, over 306.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.357, pruned_loss=0.1115, over 2774715.83 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07383, over 46018.71 utterances.], batch size: 306, lr: 2.88e-04
+2022-09-18 09:57:49,879 INFO [train.py:885] (0/2) Epoch 16, batch 11850, loss[loss=0.4068, simple_loss=0.4953, pruned_loss=0.1592, over 13102.00 frames. utt_duration=81.84 frames, utt_pad_proportion=0.1105, over 653.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3564, pruned_loss=0.1108, over 2776310.75 frames. utt_duration=245.1 frames, utt_pad_proportion=0.0729, over 45578.38 utterances.], batch size: 653, lr: 2.88e-04
+2022-09-18 09:58:19,236 INFO [train.py:885] (0/2) Epoch 16, batch 11900, loss[loss=0.3535, simple_loss=0.4118, pruned_loss=0.1476, over 14206.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04483, over 306.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3565, pruned_loss=0.1108, over 2778265.23 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07295, over 45624.69 utterances.], batch size: 306, lr: 2.88e-04
+2022-09-18 09:58:49,039 INFO [train.py:885] (0/2) Epoch 16, batch 11950, loss[loss=0.2106, simple_loss=0.2621, pruned_loss=0.07952, over 13519.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08832, over 50.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3516, pruned_loss=0.108, over 2781632.80 frames. utt_duration=255.1 frames, utt_pad_proportion=0.0717, over 43873.82 utterances.], batch size: 50, lr: 2.88e-04
+2022-09-18 09:59:18,756 INFO [train.py:885] (0/2) Epoch 16, batch 12000, loss[loss=0.2043, simple_loss=0.2706, pruned_loss=0.06902, over 13845.00 frames. utt_duration=924.4 frames, utt_pad_proportion=0.06816, over 60.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3535, pruned_loss=0.109, over 2781774.85 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07195, over 44639.22 utterances.], batch size: 60, lr: 2.88e-04
+2022-09-18 09:59:18,758 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 09:59:22,888 INFO [train.py:914] (0/2) Epoch 16, validation: loss=0.1949, simple_loss=0.2758, pruned_loss=0.05702, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 09:59:52,616 INFO [train.py:885] (0/2) Epoch 16, batch 12050, loss[loss=0.28, simple_loss=0.3303, pruned_loss=0.1148, over 14123.00 frames. utt_duration=578 frames, utt_pad_proportion=0.0509, over 98.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3515, pruned_loss=0.1081, over 2786575.50 frames. utt_duration=258.5 frames, utt_pad_proportion=0.07074, over 43374.10 utterances.], batch size: 98, lr: 2.88e-04
+2022-09-18 10:00:21,806 INFO [train.py:885] (0/2) Epoch 16, batch 12100, loss[loss=0.2708, simple_loss=0.3445, pruned_loss=0.09856, over 14325.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04018, over 167.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3556, pruned_loss=0.1107, over 2780552.43 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07247, over 45316.90 utterances.], batch size: 167, lr: 2.88e-04
+2022-09-18 10:00:51,663 INFO [train.py:885] (0/2) Epoch 16, batch 12150, loss[loss=0.2174, simple_loss=0.2944, pruned_loss=0.07019, over 14096.00 frames. utt_duration=715.4 frames, utt_pad_proportion=0.05375, over 79.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3523, pruned_loss=0.1086, over 2779757.38 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07173, over 44318.66 utterances.], batch size: 79, lr: 2.88e-04
+2022-09-18 10:01:21,173 INFO [train.py:885] (0/2) Epoch 16, batch 12200, loss[loss=0.3184, simple_loss=0.3795, pruned_loss=0.1287, over 14268.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.04332, over 154.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3534, pruned_loss=0.1097, over 2781079.57 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07025, over 43490.31 utterances.], batch size: 154, lr: 2.88e-04
+2022-09-18 10:01:51,105 INFO [train.py:885] (0/2) Epoch 16, batch 12250, loss[loss=0.394, simple_loss=0.4337, pruned_loss=0.1771, over 14189.00 frames. utt_duration=170.7 frames, utt_pad_proportion=0.04636, over 335.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3505, pruned_loss=0.1086, over 2781556.90 frames. utt_duration=264.8 frames, utt_pad_proportion=0.06791, over 42250.90 utterances.], batch size: 335, lr: 2.88e-04
+2022-09-18 10:02:20,295 INFO [train.py:885] (0/2) Epoch 16, batch 12300, loss[loss=0.3026, simple_loss=0.3709, pruned_loss=0.1172, over 14328.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03743, over 195.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3505, pruned_loss=0.1088, over 2780403.36 frames. utt_duration=264.1 frames, utt_pad_proportion=0.06901, over 42348.93 utterances.], batch size: 195, lr: 2.88e-04
+2022-09-18 10:02:49,570 INFO [train.py:885] (0/2) Epoch 16, batch 12350, loss[loss=0.2686, simple_loss=0.337, pruned_loss=0.1001, over 14256.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04497, over 141.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3505, pruned_loss=0.1091, over 2781704.99 frames. utt_duration=266.7 frames, utt_pad_proportion=0.06804, over 41956.04 utterances.], batch size: 141, lr: 2.88e-04
+2022-09-18 10:03:19,622 INFO [train.py:885] (0/2) Epoch 16, batch 12400, loss[loss=0.2344, simple_loss=0.295, pruned_loss=0.08696, over 14069.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05594, over 79.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3527, pruned_loss=0.1097, over 2782197.75 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06923, over 43278.92 utterances.], batch size: 79, lr: 2.88e-04
+2022-09-18 10:03:49,339 INFO [train.py:885] (0/2) Epoch 16, batch 12450, loss[loss=0.1882, simple_loss=0.2468, pruned_loss=0.06476, over 13725.00 frames. utt_duration=916.2 frames, utt_pad_proportion=0.0801, over 60.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3562, pruned_loss=0.1118, over 2785875.55 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06824, over 43928.22 utterances.], batch size: 60, lr: 2.88e-04
+2022-09-18 10:04:18,282 INFO [train.py:885] (0/2) Epoch 16, batch 12500, loss[loss=0.2795, simple_loss=0.3586, pruned_loss=0.1003, over 14298.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03847, over 180.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3537, pruned_loss=0.111, over 2788257.17 frames. utt_duration=265 frames, utt_pad_proportion=0.06647, over 42320.15 utterances.], batch size: 180, lr: 2.88e-04
+2022-09-18 10:04:48,362 INFO [train.py:885] (0/2) Epoch 16, batch 12550, loss[loss=0.3118, simple_loss=0.378, pruned_loss=0.1228, over 14202.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04432, over 306.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3578, pruned_loss=0.1121, over 2783287.19 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07055, over 44671.89 utterances.], batch size: 306, lr: 2.88e-04
+2022-09-18 10:05:15,635 INFO [train.py:885] (0/2) Epoch 16, batch 12600, loss[loss=0.2562, simple_loss=0.3279, pruned_loss=0.09227, over 14261.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04487, over 141.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3588, pruned_loss=0.1124, over 2783864.65 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07261, over 45402.60 utterances.], batch size: 141, lr: 2.88e-04
+2022-09-18 10:05:27,117 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-16.pt
+2022-09-18 10:05:34,919 INFO [train.py:885] (0/2) Epoch 17, batch 0, loss[loss=0.3048, simple_loss=0.3775, pruned_loss=0.1161, over 14322.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03792, over 226.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3775, pruned_loss=0.1161, over 14322.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03792, over 226.00 utterances.], batch size: 226, lr: 2.80e-04
+2022-09-18 10:06:04,607 INFO [train.py:885] (0/2) Epoch 17, batch 50, loss[loss=0.1729, simple_loss=0.2202, pruned_loss=0.06283, over 12791.00 frames. utt_duration=2048 frames, utt_pad_proportion=0.1241, over 25.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3522, pruned_loss=0.1087, over 628245.78 frames. utt_duration=259.8 frames, utt_pad_proportion=0.07377, over 9728.76 utterances.], batch size: 25, lr: 2.80e-04
+2022-09-18 10:06:34,302 INFO [train.py:885] (0/2) Epoch 17, batch 100, loss[loss=0.2857, simple_loss=0.3511, pruned_loss=0.1102, over 14282.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03959, over 180.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3586, pruned_loss=0.1107, over 1106685.84 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07407, over 18236.27 utterances.], batch size: 180, lr: 2.80e-04
+2022-09-18 10:07:04,223 INFO [train.py:885] (0/2) Epoch 17, batch 150, loss[loss=0.304, simple_loss=0.3645, pruned_loss=0.1217, over 14362.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03796, over 167.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3516, pruned_loss=0.1075, over 1477477.82 frames. utt_duration=261.7 frames, utt_pad_proportion=0.07026, over 22713.36 utterances.], batch size: 167, lr: 2.80e-04
+2022-09-18 10:07:34,066 INFO [train.py:885] (0/2) Epoch 17, batch 200, loss[loss=0.3861, simple_loss=0.4266, pruned_loss=0.1728, over 14243.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04264, over 335.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3521, pruned_loss=0.1086, over 1767681.83 frames. utt_duration=266.1 frames, utt_pad_proportion=0.06808, over 26724.24 utterances.], batch size: 335, lr: 2.80e-04
+2022-09-18 10:08:03,258 INFO [train.py:885] (0/2) Epoch 17, batch 250, loss[loss=0.2871, simple_loss=0.3375, pruned_loss=0.1183, over 14307.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03739, over 130.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3499, pruned_loss=0.1076, over 1998898.83 frames. utt_duration=275.9 frames, utt_pad_proportion=0.06424, over 29139.92 utterances.], batch size: 130, lr: 2.80e-04
+2022-09-18 10:08:32,047 INFO [train.py:885] (0/2) Epoch 17, batch 300, loss[loss=0.2976, simple_loss=0.3662, pruned_loss=0.1145, over 14361.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03544, over 210.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3477, pruned_loss=0.1061, over 2171238.97 frames. utt_duration=275.5 frames, utt_pad_proportion=0.06376, over 31692.09 utterances.], batch size: 210, lr: 2.79e-04
+2022-09-18 10:09:01,373 INFO [train.py:885] (0/2) Epoch 17, batch 350, loss[loss=0.2577, simple_loss=0.3349, pruned_loss=0.09026, over 14284.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03969, over 180.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3506, pruned_loss=0.1075, over 2304918.06 frames. utt_duration=262.6 frames, utt_pad_proportion=0.06712, over 35312.51 utterances.], batch size: 180, lr: 2.79e-04
+2022-09-18 10:09:31,533 INFO [train.py:885] (0/2) Epoch 17, batch 400, loss[loss=0.3218, simple_loss=0.3934, pruned_loss=0.1251, over 14321.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03852, over 283.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3596, pruned_loss=0.1114, over 2406546.88 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07311, over 40585.18 utterances.], batch size: 283, lr: 2.79e-04
+2022-09-18 10:10:01,344 INFO [train.py:885] (0/2) Epoch 17, batch 450, loss[loss=0.3332, simple_loss=0.3952, pruned_loss=0.1356, over 14274.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04055, over 180.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3628, pruned_loss=0.1142, over 2488347.00 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07518, over 43225.83 utterances.], batch size: 180, lr: 2.79e-04
+2022-09-18 10:10:30,709 INFO [train.py:885] (0/2) Epoch 17, batch 500, loss[loss=0.3295, simple_loss=0.391, pruned_loss=0.134, over 14380.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03212, over 244.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3614, pruned_loss=0.1139, over 2553621.04 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07433, over 43113.77 utterances.], batch size: 244, lr: 2.79e-04
+2022-09-18 10:11:00,052 INFO [train.py:885] (0/2) Epoch 17, batch 550, loss[loss=0.148, simple_loss=0.2129, pruned_loss=0.04153, over 12728.00 frames. utt_duration=2038 frames, utt_pad_proportion=0.1469, over 25.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3589, pruned_loss=0.1126, over 2605692.69 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07293, over 42956.39 utterances.], batch size: 25, lr: 2.79e-04
+2022-09-18 10:11:29,844 INFO [train.py:885] (0/2) Epoch 17, batch 600, loss[loss=0.3541, simple_loss=0.4171, pruned_loss=0.1456, over 14348.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03707, over 262.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3585, pruned_loss=0.112, over 2639857.29 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0754, over 43741.89 utterances.], batch size: 262, lr: 2.79e-04
+2022-09-18 10:11:59,431 INFO [train.py:885] (0/2) Epoch 17, batch 650, loss[loss=0.2029, simple_loss=0.2758, pruned_loss=0.06501, over 14218.00 frames. utt_duration=640.5 frames, utt_pad_proportion=0.04397, over 89.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.356, pruned_loss=0.1114, over 2672554.21 frames. utt_duration=251 frames, utt_pad_proportion=0.07294, over 42844.64 utterances.], batch size: 89, lr: 2.79e-04
+2022-09-18 10:12:29,239 INFO [train.py:885] (0/2) Epoch 17, batch 700, loss[loss=0.164, simple_loss=0.227, pruned_loss=0.05048, over 13225.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.1037, over 33.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.354, pruned_loss=0.1104, over 2695730.50 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07156, over 42576.74 utterances.], batch size: 33, lr: 2.79e-04
+2022-09-18 10:12:58,489 INFO [train.py:885] (0/2) Epoch 17, batch 750, loss[loss=0.1966, simple_loss=0.2654, pruned_loss=0.06389, over 14066.00 frames. utt_duration=805.3 frames, utt_pad_proportion=0.06031, over 70.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3522, pruned_loss=0.1092, over 2713306.32 frames. utt_duration=256.8 frames, utt_pad_proportion=0.07111, over 42504.36 utterances.], batch size: 70, lr: 2.79e-04
+2022-09-18 10:13:28,363 INFO [train.py:885] (0/2) Epoch 17, batch 800, loss[loss=0.1788, simple_loss=0.2397, pruned_loss=0.05894, over 13483.00 frames. utt_duration=1317 frames, utt_pad_proportion=0.0798, over 41.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3523, pruned_loss=0.1093, over 2727433.03 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07041, over 42967.06 utterances.], batch size: 41, lr: 2.79e-04
+2022-09-18 10:13:57,596 INFO [train.py:885] (0/2) Epoch 17, batch 850, loss[loss=0.2709, simple_loss=0.353, pruned_loss=0.09438, over 14308.00 frames. utt_duration=273.9 frames, utt_pad_proportion=0.03881, over 210.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3505, pruned_loss=0.1081, over 2735898.16 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06949, over 42423.11 utterances.], batch size: 210, lr: 2.79e-04
+2022-09-18 10:14:27,130 INFO [train.py:885] (0/2) Epoch 17, batch 900, loss[loss=0.2808, simple_loss=0.3333, pruned_loss=0.1141, over 14296.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04083, over 120.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3511, pruned_loss=0.108, over 2747325.38 frames. utt_duration=257.7 frames, utt_pad_proportion=0.07009, over 42885.32 utterances.], batch size: 120, lr: 2.79e-04
+2022-09-18 10:14:56,731 INFO [train.py:885] (0/2) Epoch 17, batch 950, loss[loss=0.3186, simple_loss=0.3833, pruned_loss=0.1269, over 14316.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0386, over 283.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3524, pruned_loss=0.1085, over 2754343.69 frames. utt_duration=255.8 frames, utt_pad_proportion=0.0697, over 43323.01 utterances.], batch size: 283, lr: 2.79e-04
+2022-09-18 10:15:25,943 INFO [train.py:885] (0/2) Epoch 17, batch 1000, loss[loss=0.3446, simple_loss=0.4056, pruned_loss=0.1418, over 14345.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03634, over 210.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3496, pruned_loss=0.1076, over 2761790.21 frames. utt_duration=267.1 frames, utt_pad_proportion=0.06797, over 41591.11 utterances.], batch size: 210, lr: 2.79e-04
+2022-09-18 10:15:55,643 INFO [train.py:885] (0/2) Epoch 17, batch 1050, loss[loss=0.3016, simple_loss=0.3729, pruned_loss=0.1151, over 14315.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03812, over 226.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3527, pruned_loss=0.1089, over 2765950.44 frames. utt_duration=258.6 frames, utt_pad_proportion=0.07083, over 43035.14 utterances.], batch size: 226, lr: 2.79e-04
+2022-09-18 10:16:24,849 INFO [train.py:885] (0/2) Epoch 17, batch 1100, loss[loss=0.3877, simple_loss=0.4239, pruned_loss=0.1758, over 14310.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03854, over 195.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3525, pruned_loss=0.1082, over 2765860.85 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07214, over 43624.35 utterances.], batch size: 195, lr: 2.79e-04
+2022-09-18 10:16:54,715 INFO [train.py:885] (0/2) Epoch 17, batch 1150, loss[loss=0.2552, simple_loss=0.3416, pruned_loss=0.08441, over 14328.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03725, over 195.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3551, pruned_loss=0.1102, over 2763857.65 frames. utt_duration=249 frames, utt_pad_proportion=0.0737, over 44662.05 utterances.], batch size: 195, lr: 2.79e-04
+2022-09-18 10:17:23,702 INFO [train.py:885] (0/2) Epoch 17, batch 1200, loss[loss=0.2962, simple_loss=0.3625, pruned_loss=0.1149, over 14276.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04065, over 225.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.354, pruned_loss=0.1101, over 2767796.13 frames. utt_duration=256.8 frames, utt_pad_proportion=0.07312, over 43357.11 utterances.], batch size: 225, lr: 2.79e-04
+2022-09-18 10:17:54,036 INFO [train.py:885] (0/2) Epoch 17, batch 1250, loss[loss=0.3373, simple_loss=0.419, pruned_loss=0.1278, over 13642.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0803, over 477.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3574, pruned_loss=0.1112, over 2770877.92 frames. utt_duration=245.8 frames, utt_pad_proportion=0.0729, over 45369.15 utterances.], batch size: 477, lr: 2.79e-04
+2022-09-18 10:18:23,039 INFO [train.py:885] (0/2) Epoch 17, batch 1300, loss[loss=0.3107, simple_loss=0.4178, pruned_loss=0.1018, over 13638.00 frames. utt_duration=98.78 frames, utt_pad_proportion=0.0768, over 560.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3531, pruned_loss=0.1091, over 2771588.57 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07141, over 44574.43 utterances.], batch size: 560, lr: 2.79e-04
+2022-09-18 10:18:52,839 INFO [train.py:885] (0/2) Epoch 17, batch 1350, loss[loss=0.3304, simple_loss=0.398, pruned_loss=0.1315, over 14364.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03264, over 244.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3564, pruned_loss=0.11, over 2773820.09 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07324, over 46657.86 utterances.], batch size: 244, lr: 2.79e-04
+2022-09-18 10:19:22,753 INFO [train.py:885] (0/2) Epoch 17, batch 1400, loss[loss=0.262, simple_loss=0.328, pruned_loss=0.09802, over 14145.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04659, over 109.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.36, pruned_loss=0.1121, over 2776680.75 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07332, over 47273.97 utterances.], batch size: 109, lr: 2.79e-04
+2022-09-18 10:19:52,193 INFO [train.py:885] (0/2) Epoch 17, batch 1450, loss[loss=0.149, simple_loss=0.1983, pruned_loss=0.04989, over 13225.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.1112, over 33.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3583, pruned_loss=0.1117, over 2780852.75 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07263, over 46586.92 utterances.], batch size: 33, lr: 2.79e-04
+2022-09-18 10:20:21,860 INFO [train.py:885] (0/2) Epoch 17, batch 1500, loss[loss=0.3343, simple_loss=0.3926, pruned_loss=0.138, over 14290.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04069, over 283.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3566, pruned_loss=0.111, over 2779856.45 frames. utt_duration=241 frames, utt_pad_proportion=0.072, over 46429.29 utterances.], batch size: 283, lr: 2.79e-04
+2022-09-18 10:20:50,791 INFO [train.py:885] (0/2) Epoch 17, batch 1550, loss[loss=0.317, simple_loss=0.3757, pruned_loss=0.1291, over 14300.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03911, over 226.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3571, pruned_loss=0.1107, over 2779586.92 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07172, over 46190.92 utterances.], batch size: 226, lr: 2.79e-04
+2022-09-18 10:21:21,192 INFO [train.py:885] (0/2) Epoch 17, batch 1600, loss[loss=0.3201, simple_loss=0.4026, pruned_loss=0.1188, over 13968.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05765, over 365.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3579, pruned_loss=0.1117, over 2776756.02 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07347, over 47014.45 utterances.], batch size: 365, lr: 2.79e-04
+2022-09-18 10:21:50,616 INFO [train.py:885] (0/2) Epoch 17, batch 1650, loss[loss=0.1899, simple_loss=0.2491, pruned_loss=0.06537, over 13777.00 frames. utt_duration=919.7 frames, utt_pad_proportion=0.07378, over 60.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3601, pruned_loss=0.1136, over 2773060.74 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07391, over 47282.96 utterances.], batch size: 60, lr: 2.79e-04
+2022-09-18 10:22:20,386 INFO [train.py:885] (0/2) Epoch 17, batch 1700, loss[loss=0.3097, simple_loss=0.3524, pruned_loss=0.1335, over 14344.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03879, over 120.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3587, pruned_loss=0.113, over 2776235.86 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07287, over 46685.54 utterances.], batch size: 120, lr: 2.79e-04
+2022-09-18 10:22:49,688 INFO [train.py:885] (0/2) Epoch 17, batch 1750, loss[loss=0.2637, simple_loss=0.3272, pruned_loss=0.1001, over 14263.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04487, over 141.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3567, pruned_loss=0.1121, over 2775815.78 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07318, over 45338.75 utterances.], batch size: 141, lr: 2.78e-04
+2022-09-18 10:23:19,022 INFO [train.py:885] (0/2) Epoch 17, batch 1800, loss[loss=0.1761, simple_loss=0.2376, pruned_loss=0.05735, over 13757.00 frames. utt_duration=918.5 frames, utt_pad_proportion=0.07506, over 60.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3566, pruned_loss=0.1118, over 2777133.52 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07188, over 45349.85 utterances.], batch size: 60, lr: 2.78e-04
+2022-09-18 10:23:49,235 INFO [train.py:885] (0/2) Epoch 17, batch 1850, loss[loss=0.3475, simple_loss=0.4073, pruned_loss=0.1439, over 14240.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04282, over 335.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3567, pruned_loss=0.1109, over 2773897.71 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07254, over 46373.33 utterances.], batch size: 335, lr: 2.78e-04
+2022-09-18 10:24:19,426 INFO [train.py:885] (0/2) Epoch 17, batch 1900, loss[loss=0.1931, simple_loss=0.2477, pruned_loss=0.06922, over 13384.00 frames. utt_duration=1624 frames, utt_pad_proportion=0.09903, over 33.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3597, pruned_loss=0.1122, over 2773975.77 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07337, over 47867.93 utterances.], batch size: 33, lr: 2.78e-04
+2022-09-18 10:24:48,597 INFO [train.py:885] (0/2) Epoch 17, batch 1950, loss[loss=0.2742, simple_loss=0.355, pruned_loss=0.09669, over 14356.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03863, over 167.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3604, pruned_loss=0.1121, over 2776096.85 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07371, over 48075.53 utterances.], batch size: 167, lr: 2.78e-04
+2022-09-18 10:25:18,400 INFO [train.py:885] (0/2) Epoch 17, batch 2000, loss[loss=0.3607, simple_loss=0.4306, pruned_loss=0.1454, over 13970.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.0581, over 365.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3583, pruned_loss=0.1113, over 2777999.79 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07146, over 46793.54 utterances.], batch size: 365, lr: 2.78e-04
+2022-09-18 10:25:47,633 INFO [train.py:885] (0/2) Epoch 17, batch 2050, loss[loss=0.1908, simple_loss=0.2549, pruned_loss=0.06339, over 13913.00 frames. utt_duration=929 frames, utt_pad_proportion=0.06352, over 60.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3599, pruned_loss=0.1124, over 2778606.14 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07369, over 47366.36 utterances.], batch size: 60, lr: 2.78e-04
+2022-09-18 10:26:06,482 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-204000.pt
+2022-09-18 10:26:18,234 INFO [train.py:885] (0/2) Epoch 17, batch 2100, loss[loss=0.5852, simple_loss=0.644, pruned_loss=0.2633, over 12536.00 frames. utt_duration=63.51 frames, utt_pad_proportion=0.1418, over 810.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3621, pruned_loss=0.1128, over 2777795.28 frames. utt_duration=230.3 frames, utt_pad_proportion=0.07427, over 48567.86 utterances.], batch size: 810, lr: 2.78e-04
+2022-09-18 10:26:47,423 INFO [train.py:885] (0/2) Epoch 17, batch 2150, loss[loss=0.3211, simple_loss=0.3848, pruned_loss=0.1287, over 14314.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03877, over 283.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3599, pruned_loss=0.1108, over 2781217.31 frames. utt_duration=235.2 frames, utt_pad_proportion=0.072, over 47600.19 utterances.], batch size: 283, lr: 2.78e-04
+2022-09-18 10:27:17,286 INFO [train.py:885] (0/2) Epoch 17, batch 2200, loss[loss=0.1882, simple_loss=0.2527, pruned_loss=0.06191, over 13254.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1107, over 33.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3529, pruned_loss=0.1079, over 2781158.94 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06919, over 44277.54 utterances.], batch size: 33, lr: 2.78e-04
+2022-09-18 10:27:47,740 INFO [train.py:885] (0/2) Epoch 17, batch 2250, loss[loss=0.4621, simple_loss=0.51, pruned_loss=0.2071, over 13724.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07419, over 411.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.355, pruned_loss=0.1082, over 2779738.77 frames. utt_duration=246 frames, utt_pad_proportion=0.07075, over 45472.04 utterances.], batch size: 411, lr: 2.78e-04
+2022-09-18 10:28:17,195 INFO [train.py:885] (0/2) Epoch 17, batch 2300, loss[loss=0.3122, simple_loss=0.3746, pruned_loss=0.1249, over 14311.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04007, over 262.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.354, pruned_loss=0.1092, over 2785398.12 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06778, over 43718.26 utterances.], batch size: 262, lr: 2.78e-04
+2022-09-18 10:28:47,035 INFO [train.py:885] (0/2) Epoch 17, batch 2350, loss[loss=0.2624, simple_loss=0.3424, pruned_loss=0.09119, over 14334.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03745, over 195.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3537, pruned_loss=0.1091, over 2787902.34 frames. utt_duration=260 frames, utt_pad_proportion=0.06604, over 43132.94 utterances.], batch size: 195, lr: 2.78e-04
+2022-09-18 10:29:15,929 INFO [train.py:885] (0/2) Epoch 17, batch 2400, loss[loss=0.2759, simple_loss=0.3781, pruned_loss=0.08685, over 13788.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07101, over 411.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.353, pruned_loss=0.1082, over 2787311.59 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06806, over 43071.82 utterances.], batch size: 411, lr: 2.78e-04
+2022-09-18 10:29:46,377 INFO [train.py:885] (0/2) Epoch 17, batch 2450, loss[loss=0.2266, simple_loss=0.2937, pruned_loss=0.07974, over 13907.00 frames. utt_duration=706 frames, utt_pad_proportion=0.06615, over 79.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3605, pruned_loss=0.1126, over 2785783.64 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07184, over 45834.02 utterances.], batch size: 79, lr: 2.78e-04
+2022-09-18 10:30:15,781 INFO [train.py:885] (0/2) Epoch 17, batch 2500, loss[loss=0.2568, simple_loss=0.3372, pruned_loss=0.08821, over 14362.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03803, over 167.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3581, pruned_loss=0.1118, over 2781575.49 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07189, over 45346.94 utterances.], batch size: 167, lr: 2.78e-04
+2022-09-18 10:30:45,700 INFO [train.py:885] (0/2) Epoch 17, batch 2550, loss[loss=0.3239, simple_loss=0.39, pruned_loss=0.1289, over 14297.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04068, over 262.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3611, pruned_loss=0.1128, over 2780733.30 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07309, over 46573.05 utterances.], batch size: 262, lr: 2.78e-04
+2022-09-18 10:31:15,287 INFO [train.py:885] (0/2) Epoch 17, batch 2600, loss[loss=0.3353, simple_loss=0.3931, pruned_loss=0.1387, over 14209.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04418, over 306.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3584, pruned_loss=0.1113, over 2782283.58 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07073, over 45798.48 utterances.], batch size: 306, lr: 2.78e-04
+2022-09-18 10:31:44,667 INFO [train.py:885] (0/2) Epoch 17, batch 2650, loss[loss=0.1976, simple_loss=0.2744, pruned_loss=0.0604, over 14222.00 frames. utt_duration=640.7 frames, utt_pad_proportion=0.04377, over 89.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3563, pruned_loss=0.1101, over 2780908.35 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07154, over 45540.81 utterances.], batch size: 89, lr: 2.78e-04
+2022-09-18 10:32:14,501 INFO [train.py:885] (0/2) Epoch 17, batch 2700, loss[loss=0.2988, simple_loss=0.3685, pruned_loss=0.1146, over 14290.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03904, over 180.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.354, pruned_loss=0.1085, over 2779813.64 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07109, over 44677.29 utterances.], batch size: 180, lr: 2.78e-04
+2022-09-18 10:32:43,553 INFO [train.py:885] (0/2) Epoch 17, batch 2750, loss[loss=0.2696, simple_loss=0.3479, pruned_loss=0.09564, over 14284.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03981, over 180.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3572, pruned_loss=0.1111, over 2784587.75 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06944, over 44794.17 utterances.], batch size: 180, lr: 2.78e-04
+2022-09-18 10:33:13,529 INFO [train.py:885] (0/2) Epoch 17, batch 2800, loss[loss=0.2864, simple_loss=0.3584, pruned_loss=0.1072, over 14331.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03774, over 210.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3581, pruned_loss=0.1108, over 2784084.09 frames. utt_duration=240.8 frames, utt_pad_proportion=0.0713, over 46534.32 utterances.], batch size: 210, lr: 2.78e-04
+2022-09-18 10:33:42,695 INFO [train.py:885] (0/2) Epoch 17, batch 2850, loss[loss=0.2928, simple_loss=0.3611, pruned_loss=0.1122, over 14243.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04234, over 225.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3554, pruned_loss=0.1095, over 2781529.11 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07054, over 45267.58 utterances.], batch size: 225, lr: 2.78e-04
+2022-09-18 10:34:12,394 INFO [train.py:885] (0/2) Epoch 17, batch 2900, loss[loss=0.2611, simple_loss=0.3308, pruned_loss=0.09566, over 14251.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04567, over 141.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3539, pruned_loss=0.1089, over 2782137.24 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06867, over 44370.03 utterances.], batch size: 141, lr: 2.78e-04
+2022-09-18 10:34:42,007 INFO [train.py:885] (0/2) Epoch 17, batch 2950, loss[loss=0.2037, simple_loss=0.2812, pruned_loss=0.0631, over 14177.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04422, over 109.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3568, pruned_loss=0.1109, over 2779774.46 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07064, over 45121.84 utterances.], batch size: 109, lr: 2.78e-04
+2022-09-18 10:35:12,045 INFO [train.py:885] (0/2) Epoch 17, batch 3000, loss[loss=0.2805, simple_loss=0.3473, pruned_loss=0.1068, over 14299.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03929, over 226.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.356, pruned_loss=0.1104, over 2782368.84 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06948, over 45160.11 utterances.], batch size: 226, lr: 2.78e-04
+2022-09-18 10:35:12,046 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 10:35:16,210 INFO [train.py:914] (0/2) Epoch 17, validation: loss=0.1976, simple_loss=0.2769, pruned_loss=0.05919, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 10:35:45,060 INFO [train.py:885] (0/2) Epoch 17, batch 3050, loss[loss=0.1989, simple_loss=0.2792, pruned_loss=0.05928, over 13892.00 frames. utt_duration=807.1 frames, utt_pad_proportion=0.05934, over 69.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3565, pruned_loss=0.111, over 2782570.05 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06988, over 45353.72 utterances.], batch size: 69, lr: 2.78e-04
+2022-09-18 10:36:14,579 INFO [train.py:885] (0/2) Epoch 17, batch 3100, loss[loss=0.2959, simple_loss=0.3862, pruned_loss=0.1028, over 13796.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07031, over 411.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3546, pruned_loss=0.1101, over 2779689.37 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06925, over 44945.31 utterances.], batch size: 411, lr: 2.78e-04
+2022-09-18 10:36:44,304 INFO [train.py:885] (0/2) Epoch 17, batch 3150, loss[loss=0.2961, simple_loss=0.3407, pruned_loss=0.1257, over 14250.00 frames. utt_duration=519.7 frames, utt_pad_proportion=0.04467, over 110.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3538, pruned_loss=0.1097, over 2778427.27 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07069, over 45251.82 utterances.], batch size: 110, lr: 2.78e-04
+2022-09-18 10:37:21,285 INFO [train.py:885] (0/2) Epoch 17, batch 3200, loss[loss=0.3701, simple_loss=0.4192, pruned_loss=0.1605, over 14269.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04151, over 335.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3511, pruned_loss=0.108, over 2780150.85 frames. utt_duration=254 frames, utt_pad_proportion=0.0705, over 44042.48 utterances.], batch size: 335, lr: 2.78e-04
+2022-09-18 10:37:50,570 INFO [train.py:885] (0/2) Epoch 17, batch 3250, loss[loss=0.32, simple_loss=0.3929, pruned_loss=0.1236, over 14318.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03805, over 195.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3514, pruned_loss=0.1076, over 2778818.90 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07244, over 44572.14 utterances.], batch size: 195, lr: 2.77e-04
+2022-09-18 10:38:19,921 INFO [train.py:885] (0/2) Epoch 17, batch 3300, loss[loss=0.2389, simple_loss=0.303, pruned_loss=0.08737, over 14135.00 frames. utt_duration=578.4 frames, utt_pad_proportion=0.0503, over 98.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3501, pruned_loss=0.1075, over 2781061.96 frames. utt_duration=257.5 frames, utt_pad_proportion=0.07123, over 43451.49 utterances.], batch size: 98, lr: 2.77e-04
+2022-09-18 10:38:49,219 INFO [train.py:885] (0/2) Epoch 17, batch 3350, loss[loss=0.354, simple_loss=0.4137, pruned_loss=0.1472, over 14230.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04277, over 306.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3507, pruned_loss=0.1075, over 2782234.79 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07004, over 44027.90 utterances.], batch size: 306, lr: 2.77e-04
+2022-09-18 10:39:19,699 INFO [train.py:885] (0/2) Epoch 17, batch 3400, loss[loss=0.2797, simple_loss=0.3524, pruned_loss=0.1035, over 14268.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04315, over 154.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3523, pruned_loss=0.1084, over 2774536.56 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07413, over 44815.08 utterances.], batch size: 154, lr: 2.77e-04
+2022-09-18 10:39:48,057 INFO [train.py:885] (0/2) Epoch 17, batch 3450, loss[loss=0.3745, simple_loss=0.4247, pruned_loss=0.1621, over 14335.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03772, over 283.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3483, pruned_loss=0.1071, over 2777668.30 frames. utt_duration=260.5 frames, utt_pad_proportion=0.07249, over 42891.45 utterances.], batch size: 283, lr: 2.77e-04
+2022-09-18 10:40:17,799 INFO [train.py:885] (0/2) Epoch 17, batch 3500, loss[loss=0.5118, simple_loss=0.5884, pruned_loss=0.2176, over 12497.00 frames. utt_duration=63.36 frames, utt_pad_proportion=0.1438, over 810.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3537, pruned_loss=0.1096, over 2775444.01 frames. utt_duration=247.5 frames, utt_pad_proportion=0.0741, over 45120.53 utterances.], batch size: 810, lr: 2.77e-04
+2022-09-18 10:40:47,455 INFO [train.py:885] (0/2) Epoch 17, batch 3550, loss[loss=0.4081, simple_loss=0.5034, pruned_loss=0.1564, over 13170.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3555, pruned_loss=0.1104, over 2775980.10 frames. utt_duration=246 frames, utt_pad_proportion=0.07279, over 45420.48 utterances.], batch size: 653, lr: 2.77e-04
+2022-09-18 10:41:17,099 INFO [train.py:885] (0/2) Epoch 17, batch 3600, loss[loss=0.3875, simple_loss=0.4852, pruned_loss=0.1449, over 13125.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1083, over 653.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3549, pruned_loss=0.1096, over 2775672.63 frames. utt_duration=246 frames, utt_pad_proportion=0.07384, over 45401.33 utterances.], batch size: 653, lr: 2.77e-04
+2022-09-18 10:41:46,223 INFO [train.py:885] (0/2) Epoch 17, batch 3650, loss[loss=0.3874, simple_loss=0.4272, pruned_loss=0.1738, over 14355.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03591, over 195.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3541, pruned_loss=0.1094, over 2775680.95 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07315, over 44735.92 utterances.], batch size: 195, lr: 2.77e-04
+2022-09-18 10:42:15,472 INFO [train.py:885] (0/2) Epoch 17, batch 3700, loss[loss=0.3341, simple_loss=0.3962, pruned_loss=0.136, over 14247.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04112, over 306.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3575, pruned_loss=0.1112, over 2779918.23 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07099, over 45604.64 utterances.], batch size: 306, lr: 2.77e-04
+2022-09-18 10:42:45,442 INFO [train.py:885] (0/2) Epoch 17, batch 3750, loss[loss=0.2707, simple_loss=0.3455, pruned_loss=0.09791, over 14279.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03971, over 180.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3561, pruned_loss=0.1105, over 2780226.94 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07105, over 44821.82 utterances.], batch size: 180, lr: 2.77e-04
+2022-09-18 10:43:14,625 INFO [train.py:885] (0/2) Epoch 17, batch 3800, loss[loss=0.2707, simple_loss=0.3356, pruned_loss=0.103, over 14170.00 frames. utt_duration=638.4 frames, utt_pad_proportion=0.04861, over 89.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3548, pruned_loss=0.1094, over 2776534.19 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07108, over 44395.29 utterances.], batch size: 89, lr: 2.77e-04
+2022-09-18 10:43:44,186 INFO [train.py:885] (0/2) Epoch 17, batch 3850, loss[loss=0.2645, simple_loss=0.3458, pruned_loss=0.0916, over 14302.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.0403, over 262.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3519, pruned_loss=0.1082, over 2778913.63 frames. utt_duration=255.9 frames, utt_pad_proportion=0.07072, over 43692.48 utterances.], batch size: 262, lr: 2.77e-04
+2022-09-18 10:44:13,961 INFO [train.py:885] (0/2) Epoch 17, batch 3900, loss[loss=0.2709, simple_loss=0.3433, pruned_loss=0.09923, over 14309.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04038, over 154.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3557, pruned_loss=0.1102, over 2775030.81 frames. utt_duration=244.8 frames, utt_pad_proportion=0.0728, over 45623.09 utterances.], batch size: 154, lr: 2.77e-04
+2022-09-18 10:44:43,185 INFO [train.py:885] (0/2) Epoch 17, batch 3950, loss[loss=0.416, simple_loss=0.4917, pruned_loss=0.1702, over 13177.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3569, pruned_loss=0.1105, over 2776265.97 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07313, over 46065.09 utterances.], batch size: 653, lr: 2.77e-04
+2022-09-18 10:45:12,516 INFO [train.py:885] (0/2) Epoch 17, batch 4000, loss[loss=0.1903, simple_loss=0.249, pruned_loss=0.06575, over 13159.00 frames. utt_duration=1285 frames, utt_pad_proportion=0.1031, over 41.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3576, pruned_loss=0.1117, over 2773676.83 frames. utt_duration=243.9 frames, utt_pad_proportion=0.0737, over 45772.87 utterances.], batch size: 41, lr: 2.77e-04
+2022-09-18 10:45:42,243 INFO [train.py:885] (0/2) Epoch 17, batch 4050, loss[loss=0.425, simple_loss=0.5081, pruned_loss=0.1709, over 13171.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1066, over 653.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3575, pruned_loss=0.1112, over 2779471.22 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07104, over 45817.52 utterances.], batch size: 653, lr: 2.77e-04
+2022-09-18 10:46:11,727 INFO [train.py:885] (0/2) Epoch 17, batch 4100, loss[loss=0.1718, simple_loss=0.2344, pruned_loss=0.05461, over 13449.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1008, over 34.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3562, pruned_loss=0.1099, over 2782038.14 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06995, over 45675.30 utterances.], batch size: 34, lr: 2.77e-04
+2022-09-18 10:46:40,842 INFO [train.py:885] (0/2) Epoch 17, batch 4150, loss[loss=0.2434, simple_loss=0.3116, pruned_loss=0.08766, over 14174.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04464, over 109.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3556, pruned_loss=0.1089, over 2782796.22 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07059, over 45592.90 utterances.], batch size: 109, lr: 2.77e-04
+2022-09-18 10:47:10,443 INFO [train.py:885] (0/2) Epoch 17, batch 4200, loss[loss=0.1549, simple_loss=0.2197, pruned_loss=0.04506, over 13705.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.07796, over 42.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3567, pruned_loss=0.1098, over 2787120.89 frames. utt_duration=247 frames, utt_pad_proportion=0.06978, over 45408.99 utterances.], batch size: 42, lr: 2.77e-04
+2022-09-18 10:47:39,880 INFO [train.py:885] (0/2) Epoch 17, batch 4250, loss[loss=0.3342, simple_loss=0.3974, pruned_loss=0.1355, over 14298.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04063, over 262.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3541, pruned_loss=0.1088, over 2784033.49 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06973, over 44399.25 utterances.], batch size: 262, lr: 2.77e-04
+2022-09-18 10:48:09,791 INFO [train.py:885] (0/2) Epoch 17, batch 4300, loss[loss=0.2503, simple_loss=0.3298, pruned_loss=0.08534, over 14300.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03862, over 180.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.356, pruned_loss=0.1091, over 2784110.92 frames. utt_duration=244.4 frames, utt_pad_proportion=0.0702, over 45850.54 utterances.], batch size: 180, lr: 2.77e-04
+2022-09-18 10:48:38,884 INFO [train.py:885] (0/2) Epoch 17, batch 4350, loss[loss=0.1799, simple_loss=0.247, pruned_loss=0.05644, over 13881.00 frames. utt_duration=926.9 frames, utt_pad_proportion=0.06943, over 60.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3561, pruned_loss=0.1093, over 2784033.83 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07095, over 45939.79 utterances.], batch size: 60, lr: 2.77e-04
+2022-09-18 10:49:08,734 INFO [train.py:885] (0/2) Epoch 17, batch 4400, loss[loss=0.3776, simple_loss=0.4534, pruned_loss=0.1509, over 13740.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07363, over 411.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3567, pruned_loss=0.1094, over 2786443.50 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06956, over 45735.53 utterances.], batch size: 411, lr: 2.77e-04
+2022-09-18 10:49:38,375 INFO [train.py:885] (0/2) Epoch 17, batch 4450, loss[loss=0.3429, simple_loss=0.4289, pruned_loss=0.1285, over 13682.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07805, over 477.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3541, pruned_loss=0.1079, over 2783575.42 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06962, over 45388.38 utterances.], batch size: 477, lr: 2.77e-04
+2022-09-18 10:50:07,587 INFO [train.py:885] (0/2) Epoch 17, batch 4500, loss[loss=0.1902, simple_loss=0.2638, pruned_loss=0.05834, over 14009.00 frames. utt_duration=710.6 frames, utt_pad_proportion=0.06008, over 79.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3555, pruned_loss=0.1096, over 2785380.25 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06896, over 44947.37 utterances.], batch size: 79, lr: 2.77e-04
+2022-09-18 10:50:36,511 INFO [train.py:885] (0/2) Epoch 17, batch 4550, loss[loss=0.3394, simple_loss=0.3899, pruned_loss=0.1444, over 14289.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03925, over 225.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3575, pruned_loss=0.1113, over 2788588.68 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06744, over 44963.07 utterances.], batch size: 225, lr: 2.77e-04
+2022-09-18 10:51:06,283 INFO [train.py:885] (0/2) Epoch 17, batch 4600, loss[loss=0.2407, simple_loss=0.3146, pruned_loss=0.08336, over 14334.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03763, over 120.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3532, pruned_loss=0.1088, over 2787392.45 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06785, over 43441.16 utterances.], batch size: 120, lr: 2.77e-04
+2022-09-18 10:51:36,824 INFO [train.py:885] (0/2) Epoch 17, batch 4650, loss[loss=0.4673, simple_loss=0.4793, pruned_loss=0.2277, over 14248.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04239, over 335.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3547, pruned_loss=0.11, over 2786350.52 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06721, over 44036.17 utterances.], batch size: 335, lr: 2.77e-04
+2022-09-18 10:52:06,757 INFO [train.py:885] (0/2) Epoch 17, batch 4700, loss[loss=0.1803, simple_loss=0.2506, pruned_loss=0.05499, over 13001.00 frames. utt_duration=1577 frames, utt_pad_proportion=0.1232, over 33.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3527, pruned_loss=0.1083, over 2781271.21 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06941, over 44138.68 utterances.], batch size: 33, lr: 2.76e-04
+2022-09-18 10:52:36,269 INFO [train.py:885] (0/2) Epoch 17, batch 4750, loss[loss=0.2961, simple_loss=0.347, pruned_loss=0.1226, over 14178.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.04589, over 141.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3499, pruned_loss=0.1069, over 2783261.50 frames. utt_duration=261.9 frames, utt_pad_proportion=0.06809, over 42744.31 utterances.], batch size: 141, lr: 2.76e-04
+2022-09-18 10:53:05,755 INFO [train.py:885] (0/2) Epoch 17, batch 4800, loss[loss=0.1277, simple_loss=0.1742, pruned_loss=0.04055, over 13179.00 frames. utt_duration=1599 frames, utt_pad_proportion=0.1161, over 33.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3494, pruned_loss=0.1061, over 2781042.40 frames. utt_duration=259.9 frames, utt_pad_proportion=0.06846, over 43046.64 utterances.], batch size: 33, lr: 2.76e-04
+2022-09-18 10:53:35,282 INFO [train.py:885] (0/2) Epoch 17, batch 4850, loss[loss=0.4026, simple_loss=0.4559, pruned_loss=0.1746, over 14007.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05493, over 365.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.353, pruned_loss=0.1086, over 2782880.33 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07075, over 43884.07 utterances.], batch size: 365, lr: 2.76e-04
+2022-09-18 10:54:03,871 INFO [train.py:885] (0/2) Epoch 17, batch 4900, loss[loss=0.198, simple_loss=0.2629, pruned_loss=0.06654, over 13059.00 frames. utt_duration=2011 frames, utt_pad_proportion=0.1259, over 26.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3463, pruned_loss=0.1056, over 2782555.99 frames. utt_duration=277 frames, utt_pad_proportion=0.06796, over 40398.41 utterances.], batch size: 26, lr: 2.76e-04
+2022-09-18 10:54:34,514 INFO [train.py:885] (0/2) Epoch 17, batch 4950, loss[loss=0.3374, simple_loss=0.4319, pruned_loss=0.1214, over 13637.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08036, over 477.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3511, pruned_loss=0.1075, over 2776792.95 frames. utt_duration=254.6 frames, utt_pad_proportion=0.07127, over 43887.11 utterances.], batch size: 477, lr: 2.76e-04
+2022-09-18 10:55:03,298 INFO [train.py:885] (0/2) Epoch 17, batch 5000, loss[loss=0.2864, simple_loss=0.3586, pruned_loss=0.1071, over 14229.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04681, over 141.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3524, pruned_loss=0.1084, over 2777940.21 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07015, over 44010.48 utterances.], batch size: 141, lr: 2.76e-04
+2022-09-18 10:55:32,869 INFO [train.py:885] (0/2) Epoch 17, batch 5050, loss[loss=0.3486, simple_loss=0.4019, pruned_loss=0.1477, over 14319.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03825, over 283.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3576, pruned_loss=0.1108, over 2779250.43 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07223, over 46038.65 utterances.], batch size: 283, lr: 2.76e-04
+2022-09-18 10:56:02,352 INFO [train.py:885] (0/2) Epoch 17, batch 5100, loss[loss=0.1724, simple_loss=0.225, pruned_loss=0.05985, over 12597.00 frames. utt_duration=2017 frames, utt_pad_proportion=0.1359, over 25.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3543, pruned_loss=0.1091, over 2774859.74 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07221, over 45550.91 utterances.], batch size: 25, lr: 2.76e-04
+2022-09-18 10:56:31,637 INFO [train.py:885] (0/2) Epoch 17, batch 5150, loss[loss=0.164, simple_loss=0.2317, pruned_loss=0.04809, over 13660.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08692, over 42.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3561, pruned_loss=0.1102, over 2781444.90 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07119, over 45541.76 utterances.], batch size: 42, lr: 2.76e-04
+2022-09-18 10:57:01,213 INFO [train.py:885] (0/2) Epoch 17, batch 5200, loss[loss=0.3336, simple_loss=0.432, pruned_loss=0.1176, over 13572.00 frames. utt_duration=98.32 frames, utt_pad_proportion=0.08109, over 560.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3539, pruned_loss=0.1096, over 2784391.02 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06839, over 44427.24 utterances.], batch size: 560, lr: 2.76e-04
+2022-09-18 10:57:31,421 INFO [train.py:885] (0/2) Epoch 17, batch 5250, loss[loss=0.1835, simple_loss=0.2398, pruned_loss=0.06365, over 12686.00 frames. utt_duration=2116 frames, utt_pad_proportion=0.1386, over 24.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3525, pruned_loss=0.1096, over 2778767.86 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06977, over 44224.17 utterances.], batch size: 24, lr: 2.76e-04
+2022-09-18 10:58:00,618 INFO [train.py:885] (0/2) Epoch 17, batch 5300, loss[loss=0.3199, simple_loss=0.3824, pruned_loss=0.1287, over 14450.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03148, over 196.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3484, pruned_loss=0.107, over 2780649.14 frames. utt_duration=263.7 frames, utt_pad_proportion=0.06834, over 42421.11 utterances.], batch size: 196, lr: 2.76e-04
+2022-09-18 10:58:29,830 INFO [train.py:885] (0/2) Epoch 17, batch 5350, loss[loss=0.2534, simple_loss=0.3206, pruned_loss=0.09305, over 14317.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.03876, over 141.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3514, pruned_loss=0.1088, over 2784044.28 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06796, over 43268.26 utterances.], batch size: 141, lr: 2.76e-04
+2022-09-18 10:58:59,209 INFO [train.py:885] (0/2) Epoch 17, batch 5400, loss[loss=0.273, simple_loss=0.3479, pruned_loss=0.09904, over 14314.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03825, over 226.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3501, pruned_loss=0.1086, over 2782749.73 frames. utt_duration=263.3 frames, utt_pad_proportion=0.06777, over 42515.26 utterances.], batch size: 226, lr: 2.76e-04
+2022-09-18 10:59:28,746 INFO [train.py:885] (0/2) Epoch 17, batch 5450, loss[loss=0.3289, simple_loss=0.423, pruned_loss=0.1174, over 13740.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07333, over 411.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3503, pruned_loss=0.108, over 2783002.00 frames. utt_duration=262.1 frames, utt_pad_proportion=0.0685, over 42703.95 utterances.], batch size: 411, lr: 2.76e-04
+2022-09-18 10:59:57,828 INFO [train.py:885] (0/2) Epoch 17, batch 5500, loss[loss=0.3243, simple_loss=0.386, pruned_loss=0.1313, over 14340.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03682, over 283.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.351, pruned_loss=0.1078, over 2779906.37 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06874, over 43116.19 utterances.], batch size: 283, lr: 2.76e-04
+2022-09-18 11:00:27,831 INFO [train.py:885] (0/2) Epoch 17, batch 5550, loss[loss=0.5182, simple_loss=0.598, pruned_loss=0.2192, over 12464.00 frames. utt_duration=63.14 frames, utt_pad_proportion=0.1468, over 810.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3516, pruned_loss=0.1081, over 2781261.09 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06855, over 43614.16 utterances.], batch size: 810, lr: 2.76e-04
+2022-09-18 11:00:56,908 INFO [train.py:885] (0/2) Epoch 17, batch 5600, loss[loss=0.2323, simple_loss=0.3086, pruned_loss=0.07805, over 14169.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04518, over 109.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3511, pruned_loss=0.1081, over 2780339.89 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06781, over 43273.11 utterances.], batch size: 109, lr: 2.76e-04
+2022-09-18 11:01:25,464 INFO [train.py:885] (0/2) Epoch 17, batch 5650, loss[loss=0.2041, simple_loss=0.2791, pruned_loss=0.06455, over 14229.00 frames. utt_duration=641.2 frames, utt_pad_proportion=0.04444, over 89.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3535, pruned_loss=0.1096, over 2783046.07 frames. utt_duration=257.5 frames, utt_pad_proportion=0.0672, over 43487.66 utterances.], batch size: 89, lr: 2.76e-04
+2022-09-18 11:01:55,438 INFO [train.py:885] (0/2) Epoch 17, batch 5700, loss[loss=0.3434, simple_loss=0.3978, pruned_loss=0.1445, over 14277.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04022, over 335.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.358, pruned_loss=0.1112, over 2782812.10 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07034, over 45761.58 utterances.], batch size: 335, lr: 2.76e-04
+2022-09-18 11:02:24,522 INFO [train.py:885] (0/2) Epoch 17, batch 5750, loss[loss=0.1891, simple_loss=0.2672, pruned_loss=0.05551, over 14236.00 frames. utt_duration=641.4 frames, utt_pad_proportion=0.04406, over 89.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.355, pruned_loss=0.1099, over 2783005.06 frames. utt_duration=254 frames, utt_pad_proportion=0.0713, over 44087.88 utterances.], batch size: 89, lr: 2.76e-04
+2022-09-18 11:02:54,472 INFO [train.py:885] (0/2) Epoch 17, batch 5800, loss[loss=0.3244, simple_loss=0.3911, pruned_loss=0.1289, over 14294.00 frames. utt_duration=294.6 frames, utt_pad_proportion=0.04024, over 195.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3547, pruned_loss=0.11, over 2779856.27 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07072, over 43915.83 utterances.], batch size: 195, lr: 2.76e-04
+2022-09-18 11:03:23,537 INFO [train.py:885] (0/2) Epoch 17, batch 5850, loss[loss=0.2941, simple_loss=0.4091, pruned_loss=0.08961, over 13626.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.07789, over 560.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3526, pruned_loss=0.1081, over 2778981.29 frames. utt_duration=252.7 frames, utt_pad_proportion=0.0714, over 44240.76 utterances.], batch size: 560, lr: 2.76e-04
+2022-09-18 11:03:53,882 INFO [train.py:885] (0/2) Epoch 17, batch 5900, loss[loss=0.3439, simple_loss=0.4393, pruned_loss=0.1242, over 13628.00 frames. utt_duration=98.71 frames, utt_pad_proportion=0.07752, over 560.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3583, pruned_loss=0.1106, over 2780523.15 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07215, over 47083.05 utterances.], batch size: 560, lr: 2.76e-04
+2022-09-18 11:04:23,291 INFO [train.py:885] (0/2) Epoch 17, batch 5950, loss[loss=0.1795, simple_loss=0.2567, pruned_loss=0.05118, over 13569.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09139, over 42.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.3603, pruned_loss=0.1117, over 2778560.92 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07409, over 47981.13 utterances.], batch size: 42, lr: 2.76e-04
+2022-09-18 11:04:52,964 INFO [train.py:885] (0/2) Epoch 17, batch 6000, loss[loss=0.2978, simple_loss=0.3692, pruned_loss=0.1132, over 14368.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.0353, over 210.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3563, pruned_loss=0.1097, over 2777668.06 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07455, over 46810.68 utterances.], batch size: 210, lr: 2.76e-04
+2022-09-18 11:04:52,965 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 11:04:57,188 INFO [train.py:914] (0/2) Epoch 17, validation: loss=0.1992, simple_loss=0.2768, pruned_loss=0.06084, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 11:05:26,330 INFO [train.py:885] (0/2) Epoch 17, batch 6050, loss[loss=0.3051, simple_loss=0.385, pruned_loss=0.1126, over 13969.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.0586, over 365.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3565, pruned_loss=0.1106, over 2777502.71 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07428, over 46609.79 utterances.], batch size: 365, lr: 2.76e-04
+2022-09-18 11:05:44,975 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-208000.pt
+2022-09-18 11:05:56,709 INFO [train.py:885] (0/2) Epoch 17, batch 6100, loss[loss=0.2654, simple_loss=0.3477, pruned_loss=0.09153, over 14331.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03945, over 167.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3566, pruned_loss=0.1103, over 2777170.27 frames. utt_duration=240.3 frames, utt_pad_proportion=0.0741, over 46511.15 utterances.], batch size: 167, lr: 2.76e-04
+2022-09-18 11:06:26,383 INFO [train.py:885] (0/2) Epoch 17, batch 6150, loss[loss=0.2476, simple_loss=0.3256, pruned_loss=0.08487, over 14347.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.03917, over 141.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3542, pruned_loss=0.1095, over 2776244.92 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07272, over 45151.03 utterances.], batch size: 141, lr: 2.76e-04
+2022-09-18 11:06:55,867 INFO [train.py:885] (0/2) Epoch 17, batch 6200, loss[loss=0.2542, simple_loss=0.3002, pruned_loss=0.1041, over 13525.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08656, over 50.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3563, pruned_loss=0.1103, over 2778772.03 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07209, over 46091.00 utterances.], batch size: 50, lr: 2.75e-04
+2022-09-18 11:07:26,448 INFO [train.py:885] (0/2) Epoch 17, batch 6250, loss[loss=0.1851, simple_loss=0.2558, pruned_loss=0.0572, over 13601.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08529, over 50.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3521, pruned_loss=0.108, over 2778681.98 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07097, over 44408.81 utterances.], batch size: 50, lr: 2.75e-04
+2022-09-18 11:07:55,748 INFO [train.py:885] (0/2) Epoch 17, batch 6300, loss[loss=0.2113, simple_loss=0.264, pruned_loss=0.07932, over 14010.00 frames. utt_duration=711 frames, utt_pad_proportion=0.05829, over 79.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3499, pruned_loss=0.1068, over 2783203.47 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06864, over 43137.20 utterances.], batch size: 79, lr: 2.75e-04
+2022-09-18 11:08:26,003 INFO [train.py:885] (0/2) Epoch 17, batch 6350, loss[loss=0.4108, simple_loss=0.4927, pruned_loss=0.1645, over 13164.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3556, pruned_loss=0.1093, over 2783347.35 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07023, over 45657.52 utterances.], batch size: 653, lr: 2.75e-04
+2022-09-18 11:08:55,432 INFO [train.py:885] (0/2) Epoch 17, batch 6400, loss[loss=0.1602, simple_loss=0.2292, pruned_loss=0.04564, over 12977.00 frames. utt_duration=1574 frames, utt_pad_proportion=0.1278, over 33.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3534, pruned_loss=0.1085, over 2782526.99 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06979, over 44558.15 utterances.], batch size: 33, lr: 2.75e-04
+2022-09-18 11:09:25,466 INFO [train.py:885] (0/2) Epoch 17, batch 6450, loss[loss=0.2802, simple_loss=0.3489, pruned_loss=0.1058, over 14360.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03818, over 167.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3555, pruned_loss=0.1096, over 2782048.73 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07052, over 45995.52 utterances.], batch size: 167, lr: 2.75e-04
+2022-09-18 11:09:54,819 INFO [train.py:885] (0/2) Epoch 17, batch 6500, loss[loss=0.4109, simple_loss=0.4923, pruned_loss=0.1648, over 13169.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3563, pruned_loss=0.1108, over 2779745.39 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07049, over 45882.77 utterances.], batch size: 653, lr: 2.75e-04
+2022-09-18 11:10:24,778 INFO [train.py:885] (0/2) Epoch 17, batch 6550, loss[loss=0.256, simple_loss=0.3393, pruned_loss=0.08634, over 14283.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04007, over 154.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3585, pruned_loss=0.1119, over 2784031.49 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07222, over 46204.81 utterances.], batch size: 154, lr: 2.75e-04
+2022-09-18 11:10:54,585 INFO [train.py:885] (0/2) Epoch 17, batch 6600, loss[loss=0.1829, simple_loss=0.2584, pruned_loss=0.05368, over 13780.00 frames. utt_duration=920 frames, utt_pad_proportion=0.07533, over 60.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3577, pruned_loss=0.1112, over 2781139.53 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07111, over 45967.04 utterances.], batch size: 60, lr: 2.75e-04
+2022-09-18 11:11:23,892 INFO [train.py:885] (0/2) Epoch 17, batch 6650, loss[loss=0.389, simple_loss=0.4307, pruned_loss=0.1737, over 14189.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04532, over 306.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3568, pruned_loss=0.1106, over 2779476.02 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07134, over 45886.66 utterances.], batch size: 306, lr: 2.75e-04
+2022-09-18 11:11:53,323 INFO [train.py:885] (0/2) Epoch 17, batch 6700, loss[loss=0.3566, simple_loss=0.4143, pruned_loss=0.1494, over 14182.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04605, over 306.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.357, pruned_loss=0.1114, over 2782932.89 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06993, over 45259.84 utterances.], batch size: 306, lr: 2.75e-04
+2022-09-18 11:12:22,575 INFO [train.py:885] (0/2) Epoch 17, batch 6750, loss[loss=0.2359, simple_loss=0.2889, pruned_loss=0.09145, over 13821.00 frames. utt_duration=922.5 frames, utt_pad_proportion=0.07003, over 60.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3548, pruned_loss=0.1095, over 2781459.86 frames. utt_duration=250 frames, utt_pad_proportion=0.07036, over 44773.39 utterances.], batch size: 60, lr: 2.75e-04
+2022-09-18 11:12:52,360 INFO [train.py:885] (0/2) Epoch 17, batch 6800, loss[loss=0.3216, simple_loss=0.3882, pruned_loss=0.1275, over 14302.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04032, over 262.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3589, pruned_loss=0.1114, over 2783799.44 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07129, over 46470.24 utterances.], batch size: 262, lr: 2.75e-04
+2022-09-18 11:13:21,439 INFO [train.py:885] (0/2) Epoch 17, batch 6850, loss[loss=0.3153, simple_loss=0.3843, pruned_loss=0.1232, over 14340.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03688, over 210.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3583, pruned_loss=0.1111, over 2786284.57 frames. utt_duration=242 frames, utt_pad_proportion=0.07072, over 46331.74 utterances.], batch size: 210, lr: 2.75e-04
+2022-09-18 11:13:51,502 INFO [train.py:885] (0/2) Epoch 17, batch 6900, loss[loss=0.3264, simple_loss=0.3958, pruned_loss=0.1285, over 14240.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04215, over 306.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3566, pruned_loss=0.1103, over 2783067.51 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07091, over 46126.63 utterances.], batch size: 306, lr: 2.75e-04
+2022-09-18 11:14:21,032 INFO [train.py:885] (0/2) Epoch 17, batch 6950, loss[loss=0.2655, simple_loss=0.3362, pruned_loss=0.09741, over 14281.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04106, over 141.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.3598, pruned_loss=0.112, over 2777370.30 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07301, over 47327.26 utterances.], batch size: 141, lr: 2.75e-04
+2022-09-18 11:14:50,904 INFO [train.py:885] (0/2) Epoch 17, batch 7000, loss[loss=0.1627, simple_loss=0.2324, pruned_loss=0.04649, over 13825.00 frames. utt_duration=802.9 frames, utt_pad_proportion=0.06422, over 69.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3535, pruned_loss=0.1087, over 2774532.18 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07183, over 45102.25 utterances.], batch size: 69, lr: 2.75e-04
+2022-09-18 11:15:20,297 INFO [train.py:885] (0/2) Epoch 17, batch 7050, loss[loss=0.2492, simple_loss=0.3349, pruned_loss=0.08173, over 14314.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0383, over 226.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3531, pruned_loss=0.1086, over 2776870.86 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07027, over 44528.27 utterances.], batch size: 226, lr: 2.75e-04
+2022-09-18 11:15:49,858 INFO [train.py:885] (0/2) Epoch 17, batch 7100, loss[loss=0.3367, simple_loss=0.4247, pruned_loss=0.1243, over 13974.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05665, over 365.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3514, pruned_loss=0.1074, over 2772714.49 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07071, over 44665.70 utterances.], batch size: 365, lr: 2.75e-04
+2022-09-18 11:16:19,061 INFO [train.py:885] (0/2) Epoch 17, batch 7150, loss[loss=0.2706, simple_loss=0.3384, pruned_loss=0.1014, over 14275.00 frames. utt_duration=477.3 frames, utt_pad_proportion=0.04163, over 120.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3506, pruned_loss=0.1077, over 2777052.25 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06993, over 43659.72 utterances.], batch size: 120, lr: 2.75e-04
+2022-09-18 11:16:48,402 INFO [train.py:885] (0/2) Epoch 17, batch 7200, loss[loss=0.1596, simple_loss=0.2275, pruned_loss=0.04588, over 12437.00 frames. utt_duration=2074 frames, utt_pad_proportion=0.141, over 24.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3514, pruned_loss=0.1076, over 2776938.52 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07045, over 44769.28 utterances.], batch size: 24, lr: 2.75e-04
+2022-09-18 11:17:18,313 INFO [train.py:885] (0/2) Epoch 17, batch 7250, loss[loss=0.3272, simple_loss=0.4232, pruned_loss=0.1157, over 13623.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07794, over 560.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3527, pruned_loss=0.1085, over 2770122.37 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07454, over 45021.40 utterances.], batch size: 560, lr: 2.75e-04
+2022-09-18 11:17:47,892 INFO [train.py:885] (0/2) Epoch 17, batch 7300, loss[loss=0.1769, simple_loss=0.2403, pruned_loss=0.05676, over 13588.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.07688, over 50.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3523, pruned_loss=0.1078, over 2768125.18 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07375, over 45594.52 utterances.], batch size: 50, lr: 2.75e-04
+2022-09-18 11:18:17,974 INFO [train.py:885] (0/2) Epoch 17, batch 7350, loss[loss=0.1341, simple_loss=0.189, pruned_loss=0.0396, over 12637.00 frames. utt_duration=2023 frames, utt_pad_proportion=0.1361, over 25.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3525, pruned_loss=0.108, over 2770212.93 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07292, over 45643.99 utterances.], batch size: 25, lr: 2.75e-04
+2022-09-18 11:18:47,646 INFO [train.py:885] (0/2) Epoch 17, batch 7400, loss[loss=0.5011, simple_loss=0.5517, pruned_loss=0.2252, over 13636.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08016, over 477.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3515, pruned_loss=0.1078, over 2774740.43 frames. utt_duration=251.1 frames, utt_pad_proportion=0.0712, over 44458.78 utterances.], batch size: 477, lr: 2.75e-04
+2022-09-18 11:19:17,246 INFO [train.py:885] (0/2) Epoch 17, batch 7450, loss[loss=0.2594, simple_loss=0.3362, pruned_loss=0.09137, over 14292.00 frames. utt_duration=441 frames, utt_pad_proportion=0.0393, over 130.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3507, pruned_loss=0.1068, over 2777872.03 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06876, over 43836.66 utterances.], batch size: 130, lr: 2.75e-04
+2022-09-18 11:19:47,228 INFO [train.py:885] (0/2) Epoch 17, batch 7500, loss[loss=0.6887, simple_loss=0.7266, pruned_loss=0.3254, over 12512.00 frames. utt_duration=63.4 frames, utt_pad_proportion=0.1433, over 810.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3547, pruned_loss=0.1087, over 2779060.91 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07051, over 44870.91 utterances.], batch size: 810, lr: 2.75e-04
+2022-09-18 11:20:15,633 INFO [train.py:885] (0/2) Epoch 17, batch 7550, loss[loss=0.3393, simple_loss=0.3976, pruned_loss=0.1405, over 14345.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03448, over 244.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3516, pruned_loss=0.1076, over 2780637.66 frames. utt_duration=257 frames, utt_pad_proportion=0.06896, over 43525.03 utterances.], batch size: 244, lr: 2.75e-04
+2022-09-18 11:20:46,255 INFO [train.py:885] (0/2) Epoch 17, batch 7600, loss[loss=0.2777, simple_loss=0.3536, pruned_loss=0.1009, over 14340.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.03655, over 180.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3546, pruned_loss=0.1087, over 2777083.83 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07128, over 44944.33 utterances.], batch size: 180, lr: 2.75e-04
+2022-09-18 11:21:15,623 INFO [train.py:885] (0/2) Epoch 17, batch 7650, loss[loss=0.2104, simple_loss=0.2913, pruned_loss=0.06473, over 14156.00 frames. utt_duration=637.9 frames, utt_pad_proportion=0.04933, over 89.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3551, pruned_loss=0.1091, over 2780685.19 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07029, over 44560.28 utterances.], batch size: 89, lr: 2.75e-04
+2022-09-18 11:21:45,446 INFO [train.py:885] (0/2) Epoch 17, batch 7700, loss[loss=0.5175, simple_loss=0.5708, pruned_loss=0.2321, over 13069.00 frames. utt_duration=81.64 frames, utt_pad_proportion=0.1126, over 653.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3544, pruned_loss=0.1091, over 2777228.92 frames. utt_duration=248.7 frames, utt_pad_proportion=0.0721, over 44932.61 utterances.], batch size: 653, lr: 2.75e-04
+2022-09-18 11:22:14,656 INFO [train.py:885] (0/2) Epoch 17, batch 7750, loss[loss=0.2112, simple_loss=0.2822, pruned_loss=0.07015, over 14214.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04149, over 109.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3506, pruned_loss=0.1074, over 2775235.73 frames. utt_duration=256.4 frames, utt_pad_proportion=0.07074, over 43540.03 utterances.], batch size: 109, lr: 2.74e-04
+2022-09-18 11:22:45,051 INFO [train.py:885] (0/2) Epoch 17, batch 7800, loss[loss=0.3455, simple_loss=0.4161, pruned_loss=0.1375, over 13955.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05884, over 365.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3519, pruned_loss=0.108, over 2779428.73 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06926, over 43351.47 utterances.], batch size: 365, lr: 2.74e-04
+2022-09-18 11:23:14,574 INFO [train.py:885] (0/2) Epoch 17, batch 7850, loss[loss=0.2125, simple_loss=0.2727, pruned_loss=0.07614, over 13823.00 frames. utt_duration=922.9 frames, utt_pad_proportion=0.06687, over 60.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3518, pruned_loss=0.1079, over 2784279.26 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06794, over 43360.29 utterances.], batch size: 60, lr: 2.74e-04
+2022-09-18 11:23:44,404 INFO [train.py:885] (0/2) Epoch 17, batch 7900, loss[loss=0.2246, simple_loss=0.298, pruned_loss=0.07559, over 14133.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05212, over 98.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3482, pruned_loss=0.106, over 2783237.07 frames. utt_duration=266.1 frames, utt_pad_proportion=0.06771, over 42076.46 utterances.], batch size: 98, lr: 2.74e-04
+2022-09-18 11:24:13,660 INFO [train.py:885] (0/2) Epoch 17, batch 7950, loss[loss=0.2137, simple_loss=0.2838, pruned_loss=0.07175, over 13943.00 frames. utt_duration=809.8 frames, utt_pad_proportion=0.05723, over 69.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3502, pruned_loss=0.1075, over 2787037.05 frames. utt_duration=260.6 frames, utt_pad_proportion=0.06784, over 43017.33 utterances.], batch size: 69, lr: 2.74e-04
+2022-09-18 11:24:43,019 INFO [train.py:885] (0/2) Epoch 17, batch 8000, loss[loss=0.1848, simple_loss=0.2429, pruned_loss=0.06337, over 13440.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.08243, over 41.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3482, pruned_loss=0.1066, over 2793905.94 frames. utt_duration=269.1 frames, utt_pad_proportion=0.06429, over 41755.48 utterances.], batch size: 41, lr: 2.74e-04
+2022-09-18 11:25:12,895 INFO [train.py:885] (0/2) Epoch 17, batch 8050, loss[loss=0.4455, simple_loss=0.4727, pruned_loss=0.2091, over 14339.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03641, over 210.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3511, pruned_loss=0.1079, over 2786132.17 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06925, over 43463.80 utterances.], batch size: 210, lr: 2.74e-04
+2022-09-18 11:25:42,490 INFO [train.py:885] (0/2) Epoch 17, batch 8100, loss[loss=0.3002, simple_loss=0.3727, pruned_loss=0.1139, over 14342.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.0377, over 262.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3524, pruned_loss=0.1087, over 2786646.76 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06951, over 43525.57 utterances.], batch size: 262, lr: 2.74e-04
+2022-09-18 11:26:11,581 INFO [train.py:885] (0/2) Epoch 17, batch 8150, loss[loss=0.2155, simple_loss=0.2837, pruned_loss=0.07362, over 14204.00 frames. utt_duration=581.1 frames, utt_pad_proportion=0.04578, over 98.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3511, pruned_loss=0.1082, over 2788683.85 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06744, over 43065.70 utterances.], batch size: 98, lr: 2.74e-04
+2022-09-18 11:26:42,331 INFO [train.py:885] (0/2) Epoch 17, batch 8200, loss[loss=0.3947, simple_loss=0.48, pruned_loss=0.1546, over 13187.00 frames. utt_duration=82.37 frames, utt_pad_proportion=0.1047, over 653.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3535, pruned_loss=0.1089, over 2783477.72 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07037, over 44477.88 utterances.], batch size: 653, lr: 2.74e-04
+2022-09-18 11:27:11,066 INFO [train.py:885] (0/2) Epoch 17, batch 8250, loss[loss=0.1641, simple_loss=0.2414, pruned_loss=0.04336, over 13695.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07862, over 50.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3545, pruned_loss=0.1089, over 2780068.67 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07213, over 45270.22 utterances.], batch size: 50, lr: 2.74e-04
+2022-09-18 11:27:40,847 INFO [train.py:885] (0/2) Epoch 17, batch 8300, loss[loss=0.3013, simple_loss=0.3715, pruned_loss=0.1155, over 14351.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03685, over 283.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3539, pruned_loss=0.1088, over 2782834.36 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06916, over 44473.12 utterances.], batch size: 283, lr: 2.74e-04
+2022-09-18 11:28:10,727 INFO [train.py:885] (0/2) Epoch 17, batch 8350, loss[loss=0.2786, simple_loss=0.3431, pruned_loss=0.107, over 14295.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04148, over 154.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3539, pruned_loss=0.1092, over 2785693.63 frames. utt_duration=250.3 frames, utt_pad_proportion=0.0689, over 44787.78 utterances.], batch size: 154, lr: 2.74e-04
+2022-09-18 11:28:40,245 INFO [train.py:885] (0/2) Epoch 17, batch 8400, loss[loss=0.2158, simple_loss=0.2889, pruned_loss=0.07132, over 13873.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.06113, over 69.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3578, pruned_loss=0.1119, over 2789125.88 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06815, over 45571.28 utterances.], batch size: 69, lr: 2.74e-04
+2022-09-18 11:29:09,991 INFO [train.py:885] (0/2) Epoch 17, batch 8450, loss[loss=0.3913, simple_loss=0.4357, pruned_loss=0.1735, over 14243.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04286, over 335.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3556, pruned_loss=0.1111, over 2783757.36 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07025, over 45107.02 utterances.], batch size: 335, lr: 2.74e-04
+2022-09-18 11:29:39,152 INFO [train.py:885] (0/2) Epoch 17, batch 8500, loss[loss=0.2481, simple_loss=0.3152, pruned_loss=0.09056, over 14205.00 frames. utt_duration=640.1 frames, utt_pad_proportion=0.04463, over 89.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3562, pruned_loss=0.1115, over 2787113.44 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0695, over 45005.80 utterances.], batch size: 89, lr: 2.74e-04
+2022-09-18 11:30:16,141 INFO [train.py:885] (0/2) Epoch 17, batch 8550, loss[loss=0.3519, simple_loss=0.4027, pruned_loss=0.1505, over 14321.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03705, over 180.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3574, pruned_loss=0.1125, over 2790511.22 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06813, over 44474.85 utterances.], batch size: 180, lr: 2.74e-04
+2022-09-18 11:30:45,882 INFO [train.py:885] (0/2) Epoch 17, batch 8600, loss[loss=0.1979, simple_loss=0.2522, pruned_loss=0.07177, over 14035.00 frames. utt_duration=712 frames, utt_pad_proportion=0.05823, over 79.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3526, pruned_loss=0.1098, over 2785995.37 frames. utt_duration=259.5 frames, utt_pad_proportion=0.06929, over 43192.57 utterances.], batch size: 79, lr: 2.74e-04
+2022-09-18 11:31:15,356 INFO [train.py:885] (0/2) Epoch 17, batch 8650, loss[loss=0.3431, simple_loss=0.4015, pruned_loss=0.1424, over 14311.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03977, over 262.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3566, pruned_loss=0.1121, over 2785695.45 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06925, over 44627.17 utterances.], batch size: 262, lr: 2.74e-04
+2022-09-18 11:31:44,464 INFO [train.py:885] (0/2) Epoch 17, batch 8700, loss[loss=0.3116, simple_loss=0.3829, pruned_loss=0.1202, over 14327.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03733, over 210.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3603, pruned_loss=0.1136, over 2788166.52 frames. utt_duration=245 frames, utt_pad_proportion=0.06911, over 45796.25 utterances.], batch size: 210, lr: 2.74e-04
+2022-09-18 11:32:14,062 INFO [train.py:885] (0/2) Epoch 17, batch 8750, loss[loss=0.3782, simple_loss=0.4196, pruned_loss=0.1684, over 14314.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.0375, over 180.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3567, pruned_loss=0.1112, over 2785539.52 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06799, over 44592.33 utterances.], batch size: 180, lr: 2.74e-04
+2022-09-18 11:32:44,040 INFO [train.py:885] (0/2) Epoch 17, batch 8800, loss[loss=0.3352, simple_loss=0.4233, pruned_loss=0.1235, over 13684.00 frames. utt_duration=116.4 frames, utt_pad_proportion=0.07657, over 477.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3578, pruned_loss=0.1117, over 2778162.61 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07172, over 45780.26 utterances.], batch size: 477, lr: 2.74e-04
+2022-09-18 11:33:13,764 INFO [train.py:885] (0/2) Epoch 17, batch 8850, loss[loss=0.2758, simple_loss=0.3542, pruned_loss=0.09875, over 14358.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03536, over 226.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3579, pruned_loss=0.1119, over 2775950.72 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07418, over 46020.51 utterances.], batch size: 226, lr: 2.74e-04
+2022-09-18 11:33:43,809 INFO [train.py:885] (0/2) Epoch 17, batch 8900, loss[loss=0.1553, simple_loss=0.196, pruned_loss=0.05729, over 13679.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08283, over 42.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3576, pruned_loss=0.1105, over 2779526.27 frames. utt_duration=239.6 frames, utt_pad_proportion=0.0731, over 46688.02 utterances.], batch size: 42, lr: 2.74e-04
+2022-09-18 11:34:12,835 INFO [train.py:885] (0/2) Epoch 17, batch 8950, loss[loss=0.3258, simple_loss=0.3874, pruned_loss=0.1321, over 14343.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03678, over 195.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3547, pruned_loss=0.1086, over 2780051.84 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07156, over 46518.46 utterances.], batch size: 195, lr: 2.74e-04
+2022-09-18 11:34:42,780 INFO [train.py:885] (0/2) Epoch 17, batch 9000, loss[loss=0.3984, simple_loss=0.4901, pruned_loss=0.1534, over 13172.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3563, pruned_loss=0.1097, over 2776012.27 frames. utt_duration=238 frames, utt_pad_proportion=0.07352, over 46943.40 utterances.], batch size: 653, lr: 2.74e-04
+2022-09-18 11:34:42,781 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 11:34:46,923 INFO [train.py:914] (0/2) Epoch 17, validation: loss=0.1966, simple_loss=0.279, pruned_loss=0.05714, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 11:35:16,521 INFO [train.py:885] (0/2) Epoch 17, batch 9050, loss[loss=0.1944, simple_loss=0.2729, pruned_loss=0.05794, over 13981.00 frames. utt_duration=572.4 frames, utt_pad_proportion=0.05861, over 98.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3569, pruned_loss=0.1099, over 2779004.37 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07298, over 46840.17 utterances.], batch size: 98, lr: 2.74e-04
+2022-09-18 11:35:46,079 INFO [train.py:885] (0/2) Epoch 17, batch 9100, loss[loss=0.3083, simple_loss=0.4167, pruned_loss=0.09996, over 13638.00 frames. utt_duration=98.82 frames, utt_pad_proportion=0.07647, over 560.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3564, pruned_loss=0.1094, over 2779822.43 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07295, over 47281.77 utterances.], batch size: 560, lr: 2.74e-04
+2022-09-18 11:36:15,711 INFO [train.py:885] (0/2) Epoch 17, batch 9150, loss[loss=0.2337, simple_loss=0.3021, pruned_loss=0.08268, over 14052.00 frames. utt_duration=575 frames, utt_pad_proportion=0.05586, over 98.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3558, pruned_loss=0.1093, over 2786921.26 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06934, over 46060.61 utterances.], batch size: 98, lr: 2.74e-04
+2022-09-18 11:36:45,335 INFO [train.py:885] (0/2) Epoch 17, batch 9200, loss[loss=0.2767, simple_loss=0.333, pruned_loss=0.1102, over 13958.00 frames. utt_duration=708.1 frames, utt_pad_proportion=0.06336, over 79.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.357, pruned_loss=0.1097, over 2780804.11 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07218, over 47169.90 utterances.], batch size: 79, lr: 2.74e-04
+2022-09-18 11:37:14,661 INFO [train.py:885] (0/2) Epoch 17, batch 9250, loss[loss=0.2552, simple_loss=0.3224, pruned_loss=0.09398, over 14053.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05719, over 98.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3535, pruned_loss=0.1084, over 2784320.05 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06995, over 45042.85 utterances.], batch size: 98, lr: 2.74e-04
+2022-09-18 11:37:44,679 INFO [train.py:885] (0/2) Epoch 17, batch 9300, loss[loss=0.1975, simple_loss=0.258, pruned_loss=0.06845, over 14009.00 frames. utt_duration=710.9 frames, utt_pad_proportion=0.05835, over 79.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3531, pruned_loss=0.1092, over 2781296.78 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07131, over 44842.08 utterances.], batch size: 79, lr: 2.73e-04
+2022-09-18 11:38:21,029 INFO [train.py:885] (0/2) Epoch 17, batch 9350, loss[loss=0.3122, simple_loss=0.4092, pruned_loss=0.1076, over 13773.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07321, over 412.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3531, pruned_loss=0.1087, over 2778877.12 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07191, over 45066.24 utterances.], batch size: 412, lr: 2.73e-04
+2022-09-18 11:38:50,857 INFO [train.py:885] (0/2) Epoch 17, batch 9400, loss[loss=0.1926, simple_loss=0.2534, pruned_loss=0.06583, over 13583.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08625, over 50.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3525, pruned_loss=0.1074, over 2775713.01 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07343, over 45823.55 utterances.], batch size: 50, lr: 2.73e-04
+2022-09-18 11:39:28,235 INFO [train.py:885] (0/2) Epoch 17, batch 9450, loss[loss=0.2702, simple_loss=0.3224, pruned_loss=0.109, over 14326.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03802, over 120.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3532, pruned_loss=0.1082, over 2775372.39 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07423, over 45912.52 utterances.], batch size: 120, lr: 2.73e-04
+2022-09-18 11:39:57,977 INFO [train.py:885] (0/2) Epoch 17, batch 9500, loss[loss=0.2402, simple_loss=0.3128, pruned_loss=0.08376, over 14318.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.0369, over 130.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.354, pruned_loss=0.1087, over 2775906.06 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07333, over 46229.99 utterances.], batch size: 130, lr: 2.73e-04
+2022-09-18 11:40:27,333 INFO [train.py:885] (0/2) Epoch 17, batch 9550, loss[loss=0.2174, simple_loss=0.2879, pruned_loss=0.07346, over 13955.00 frames. utt_duration=571.1 frames, utt_pad_proportion=0.0622, over 98.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.353, pruned_loss=0.1083, over 2773898.14 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07392, over 45844.93 utterances.], batch size: 98, lr: 2.73e-04
+2022-09-18 11:40:56,766 INFO [train.py:885] (0/2) Epoch 17, batch 9600, loss[loss=0.223, simple_loss=0.2924, pruned_loss=0.07681, over 14156.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04587, over 109.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3535, pruned_loss=0.1091, over 2774784.52 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07429, over 45533.26 utterances.], batch size: 109, lr: 2.73e-04
+2022-09-18 11:41:26,346 INFO [train.py:885] (0/2) Epoch 17, batch 9650, loss[loss=0.1885, simple_loss=0.231, pruned_loss=0.07305, over 13395.00 frames. utt_duration=1625 frames, utt_pad_proportion=0.09802, over 33.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3544, pruned_loss=0.1098, over 2779563.54 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07119, over 45911.17 utterances.], batch size: 33, lr: 2.73e-04
+2022-09-18 11:41:56,065 INFO [train.py:885] (0/2) Epoch 17, batch 9700, loss[loss=0.2337, simple_loss=0.3142, pruned_loss=0.07662, over 13919.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.05871, over 69.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3538, pruned_loss=0.1097, over 2781501.49 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06944, over 45447.27 utterances.], batch size: 69, lr: 2.73e-04
+2022-09-18 11:42:25,373 INFO [train.py:885] (0/2) Epoch 17, batch 9750, loss[loss=0.3587, simple_loss=0.4488, pruned_loss=0.1343, over 13615.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.07782, over 560.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3536, pruned_loss=0.1088, over 2782192.16 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06909, over 46042.79 utterances.], batch size: 560, lr: 2.73e-04
+2022-09-18 11:42:55,361 INFO [train.py:885] (0/2) Epoch 17, batch 9800, loss[loss=0.356, simple_loss=0.4025, pruned_loss=0.1547, over 14324.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03797, over 120.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3544, pruned_loss=0.1094, over 2780778.03 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07073, over 46013.48 utterances.], batch size: 120, lr: 2.73e-04
+2022-09-18 11:43:25,041 INFO [train.py:885] (0/2) Epoch 17, batch 9850, loss[loss=0.2303, simple_loss=0.3023, pruned_loss=0.0791, over 14188.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04367, over 109.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3538, pruned_loss=0.109, over 2778140.83 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07129, over 46107.40 utterances.], batch size: 109, lr: 2.73e-04
+2022-09-18 11:43:54,565 INFO [train.py:885] (0/2) Epoch 17, batch 9900, loss[loss=0.1876, simple_loss=0.2474, pruned_loss=0.06392, over 12756.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.1251, over 25.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3534, pruned_loss=0.1086, over 2775845.23 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07157, over 46268.31 utterances.], batch size: 25, lr: 2.73e-04
+2022-09-18 11:44:25,228 INFO [train.py:885] (0/2) Epoch 17, batch 9950, loss[loss=0.3058, simple_loss=0.3977, pruned_loss=0.107, over 13778.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07101, over 411.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3544, pruned_loss=0.1089, over 2775893.37 frames. utt_duration=242.6 frames, utt_pad_proportion=0.0715, over 46057.61 utterances.], batch size: 411, lr: 2.73e-04
+2022-09-18 11:44:53,654 INFO [train.py:885] (0/2) Epoch 17, batch 10000, loss[loss=0.2922, simple_loss=0.3607, pruned_loss=0.1118, over 14332.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03757, over 226.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3503, pruned_loss=0.1067, over 2778870.91 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07112, over 43830.01 utterances.], batch size: 226, lr: 2.73e-04
+2022-09-18 11:45:22,870 INFO [train.py:885] (0/2) Epoch 17, batch 10050, loss[loss=0.2798, simple_loss=0.3625, pruned_loss=0.09851, over 14296.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03909, over 226.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3521, pruned_loss=0.1078, over 2775644.87 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07247, over 44043.64 utterances.], batch size: 226, lr: 2.73e-04
+2022-09-18 11:45:41,320 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-212000.pt
+2022-09-18 11:45:53,227 INFO [train.py:885] (0/2) Epoch 17, batch 10100, loss[loss=0.2303, simple_loss=0.2756, pruned_loss=0.09247, over 12673.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.148, over 25.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3552, pruned_loss=0.1098, over 2774837.81 frames. utt_duration=248 frames, utt_pad_proportion=0.07355, over 45027.76 utterances.], batch size: 25, lr: 2.73e-04
+2022-09-18 11:46:23,360 INFO [train.py:885] (0/2) Epoch 17, batch 10150, loss[loss=0.2251, simple_loss=0.3083, pruned_loss=0.07093, over 14304.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03774, over 130.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3556, pruned_loss=0.1092, over 2774410.88 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07259, over 45665.89 utterances.], batch size: 130, lr: 2.73e-04
+2022-09-18 11:46:52,642 INFO [train.py:885] (0/2) Epoch 17, batch 10200, loss[loss=0.2743, simple_loss=0.3457, pruned_loss=0.1015, over 14283.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04335, over 141.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3565, pruned_loss=0.1095, over 2775449.69 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07275, over 45889.08 utterances.], batch size: 141, lr: 2.73e-04
+2022-09-18 11:47:29,994 INFO [train.py:885] (0/2) Epoch 17, batch 10250, loss[loss=0.1712, simple_loss=0.2288, pruned_loss=0.0568, over 13037.00 frames. utt_duration=2088 frames, utt_pad_proportion=0.1056, over 25.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3554, pruned_loss=0.1086, over 2773943.65 frames. utt_duration=242 frames, utt_pad_proportion=0.07291, over 46128.21 utterances.], batch size: 25, lr: 2.73e-04
+2022-09-18 11:47:59,187 INFO [train.py:885] (0/2) Epoch 17, batch 10300, loss[loss=0.2373, simple_loss=0.2949, pruned_loss=0.0898, over 13746.00 frames. utt_duration=798.5 frames, utt_pad_proportion=0.0683, over 69.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3535, pruned_loss=0.1083, over 2782226.95 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06872, over 44019.67 utterances.], batch size: 69, lr: 2.73e-04
+2022-09-18 11:48:28,948 INFO [train.py:885] (0/2) Epoch 17, batch 10350, loss[loss=0.1596, simple_loss=0.2271, pruned_loss=0.04599, over 13661.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.07877, over 50.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3514, pruned_loss=0.1071, over 2783259.46 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06856, over 43346.16 utterances.], batch size: 50, lr: 2.73e-04
+2022-09-18 11:48:58,732 INFO [train.py:885] (0/2) Epoch 17, batch 10400, loss[loss=0.214, simple_loss=0.282, pruned_loss=0.07301, over 13741.00 frames. utt_duration=917.4 frames, utt_pad_proportion=0.07801, over 60.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3528, pruned_loss=0.1079, over 2786363.49 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06699, over 43579.87 utterances.], batch size: 60, lr: 2.73e-04
+2022-09-18 11:49:28,742 INFO [train.py:885] (0/2) Epoch 17, batch 10450, loss[loss=0.2155, simple_loss=0.2739, pruned_loss=0.07853, over 14098.00 frames. utt_duration=715.1 frames, utt_pad_proportion=0.05417, over 79.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3488, pruned_loss=0.1061, over 2781930.83 frames. utt_duration=260.6 frames, utt_pad_proportion=0.06932, over 42934.30 utterances.], batch size: 79, lr: 2.73e-04
+2022-09-18 11:49:57,965 INFO [train.py:885] (0/2) Epoch 17, batch 10500, loss[loss=0.1761, simple_loss=0.2289, pruned_loss=0.06168, over 13076.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1211, over 33.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.351, pruned_loss=0.1067, over 2779018.06 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07146, over 44161.42 utterances.], batch size: 33, lr: 2.73e-04
+2022-09-18 11:50:27,491 INFO [train.py:885] (0/2) Epoch 17, batch 10550, loss[loss=0.2694, simple_loss=0.3265, pruned_loss=0.1061, over 14314.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03872, over 120.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3547, pruned_loss=0.1088, over 2781899.97 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07088, over 45527.70 utterances.], batch size: 120, lr: 2.73e-04
+2022-09-18 11:50:57,116 INFO [train.py:885] (0/2) Epoch 17, batch 10600, loss[loss=0.1547, simple_loss=0.2216, pruned_loss=0.04392, over 13172.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1047, over 33.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3511, pruned_loss=0.1076, over 2782458.18 frames. utt_duration=259 frames, utt_pad_proportion=0.06941, over 43224.27 utterances.], batch size: 33, lr: 2.73e-04
+2022-09-18 11:51:27,023 INFO [train.py:885] (0/2) Epoch 17, batch 10650, loss[loss=0.4365, simple_loss=0.4645, pruned_loss=0.2043, over 14250.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04136, over 335.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3544, pruned_loss=0.1092, over 2784588.06 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06898, over 44574.35 utterances.], batch size: 335, lr: 2.73e-04
+2022-09-18 11:51:56,313 INFO [train.py:885] (0/2) Epoch 17, batch 10700, loss[loss=0.2769, simple_loss=0.3584, pruned_loss=0.09772, over 14316.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03852, over 226.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3556, pruned_loss=0.109, over 2786520.83 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06882, over 45200.26 utterances.], batch size: 226, lr: 2.73e-04
+2022-09-18 11:52:25,203 INFO [train.py:885] (0/2) Epoch 17, batch 10750, loss[loss=0.3632, simple_loss=0.4103, pruned_loss=0.158, over 14187.00 frames. utt_duration=170.7 frames, utt_pad_proportion=0.04626, over 335.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3584, pruned_loss=0.111, over 2783082.07 frames. utt_duration=240 frames, utt_pad_proportion=0.07055, over 46666.75 utterances.], batch size: 335, lr: 2.73e-04
+2022-09-18 11:52:55,358 INFO [train.py:885] (0/2) Epoch 17, batch 10800, loss[loss=0.29, simple_loss=0.3708, pruned_loss=0.1046, over 14303.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.03969, over 226.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3575, pruned_loss=0.1104, over 2780771.56 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07109, over 46039.81 utterances.], batch size: 226, lr: 2.73e-04
+2022-09-18 11:53:25,721 INFO [train.py:885] (0/2) Epoch 17, batch 10850, loss[loss=0.1439, simple_loss=0.2074, pruned_loss=0.0402, over 13154.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1106, over 33.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3577, pruned_loss=0.1106, over 2780823.38 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07128, over 46477.24 utterances.], batch size: 33, lr: 2.72e-04
+2022-09-18 11:53:54,865 INFO [train.py:885] (0/2) Epoch 17, batch 10900, loss[loss=0.1861, simple_loss=0.249, pruned_loss=0.06164, over 13440.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09212, over 50.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3577, pruned_loss=0.1106, over 2784570.17 frames. utt_duration=243 frames, utt_pad_proportion=0.06984, over 46122.15 utterances.], batch size: 50, lr: 2.72e-04
+2022-09-18 11:54:24,880 INFO [train.py:885] (0/2) Epoch 17, batch 10950, loss[loss=0.1944, simple_loss=0.2725, pruned_loss=0.05814, over 14164.00 frames. utt_duration=638.1 frames, utt_pad_proportion=0.0491, over 89.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3584, pruned_loss=0.1115, over 2782053.62 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07108, over 46303.40 utterances.], batch size: 89, lr: 2.72e-04
+2022-09-18 11:54:54,311 INFO [train.py:885] (0/2) Epoch 17, batch 11000, loss[loss=0.1755, simple_loss=0.2372, pruned_loss=0.05687, over 13075.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1212, over 33.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.359, pruned_loss=0.1119, over 2773448.85 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07514, over 46849.80 utterances.], batch size: 33, lr: 2.72e-04
+2022-09-18 11:55:23,990 INFO [train.py:885] (0/2) Epoch 17, batch 11050, loss[loss=0.2903, simple_loss=0.3614, pruned_loss=0.1095, over 14309.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03874, over 195.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.362, pruned_loss=0.1132, over 2778122.39 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07492, over 47426.00 utterances.], batch size: 195, lr: 2.72e-04
+2022-09-18 11:55:53,195 INFO [train.py:885] (0/2) Epoch 17, batch 11100, loss[loss=0.4046, simple_loss=0.4888, pruned_loss=0.1602, over 13167.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3571, pruned_loss=0.1109, over 2781308.75 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07326, over 45042.87 utterances.], batch size: 653, lr: 2.72e-04
+2022-09-18 11:56:22,881 INFO [train.py:885] (0/2) Epoch 17, batch 11150, loss[loss=0.2472, simple_loss=0.3133, pruned_loss=0.09057, over 14349.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03693, over 120.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3576, pruned_loss=0.1112, over 2787165.33 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07057, over 44761.90 utterances.], batch size: 120, lr: 2.72e-04
+2022-09-18 11:56:52,609 INFO [train.py:885] (0/2) Epoch 17, batch 11200, loss[loss=0.3227, simple_loss=0.4243, pruned_loss=0.1105, over 13622.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.081, over 477.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3585, pruned_loss=0.1108, over 2782088.40 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07333, over 46616.10 utterances.], batch size: 477, lr: 2.72e-04
+2022-09-18 11:57:22,219 INFO [train.py:885] (0/2) Epoch 17, batch 11250, loss[loss=0.2406, simple_loss=0.3107, pruned_loss=0.08523, over 14325.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03995, over 120.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3582, pruned_loss=0.1103, over 2782547.03 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07339, over 46746.35 utterances.], batch size: 120, lr: 2.72e-04
+2022-09-18 11:57:52,139 INFO [train.py:885] (0/2) Epoch 17, batch 11300, loss[loss=0.2946, simple_loss=0.3696, pruned_loss=0.1098, over 14367.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03292, over 244.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3587, pruned_loss=0.1106, over 2780374.41 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07578, over 47362.32 utterances.], batch size: 244, lr: 2.72e-04
+2022-09-18 11:58:21,260 INFO [train.py:885] (0/2) Epoch 17, batch 11350, loss[loss=0.2622, simple_loss=0.3388, pruned_loss=0.09276, over 14380.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03681, over 167.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3561, pruned_loss=0.109, over 2781638.81 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07364, over 46039.41 utterances.], batch size: 167, lr: 2.72e-04
+2022-09-18 11:58:50,604 INFO [train.py:885] (0/2) Epoch 17, batch 11400, loss[loss=0.1617, simple_loss=0.222, pruned_loss=0.05067, over 12021.00 frames. utt_duration=2005 frames, utt_pad_proportion=0.197, over 24.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3562, pruned_loss=0.1094, over 2777670.05 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07533, over 46016.94 utterances.], batch size: 24, lr: 2.72e-04
+2022-09-18 11:59:20,359 INFO [train.py:885] (0/2) Epoch 17, batch 11450, loss[loss=0.2841, simple_loss=0.3581, pruned_loss=0.1051, over 14329.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04031, over 167.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3546, pruned_loss=0.1096, over 2776889.83 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07343, over 44762.70 utterances.], batch size: 167, lr: 2.72e-04
+2022-09-18 11:59:50,033 INFO [train.py:885] (0/2) Epoch 17, batch 11500, loss[loss=0.2663, simple_loss=0.3451, pruned_loss=0.09377, over 14310.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03919, over 195.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3559, pruned_loss=0.1105, over 2778394.79 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07056, over 44839.90 utterances.], batch size: 195, lr: 2.72e-04
+2022-09-18 12:00:19,806 INFO [train.py:885] (0/2) Epoch 17, batch 11550, loss[loss=0.2407, simple_loss=0.3059, pruned_loss=0.08777, over 14071.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05479, over 98.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3579, pruned_loss=0.111, over 2777946.91 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07242, over 46371.34 utterances.], batch size: 98, lr: 2.72e-04
+2022-09-18 12:00:49,635 INFO [train.py:885] (0/2) Epoch 17, batch 11600, loss[loss=0.366, simple_loss=0.4701, pruned_loss=0.131, over 13197.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1057, over 653.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.36, pruned_loss=0.1114, over 2780251.00 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07167, over 47377.68 utterances.], batch size: 653, lr: 2.72e-04
+2022-09-18 12:01:18,709 INFO [train.py:885] (0/2) Epoch 17, batch 11650, loss[loss=0.3295, simple_loss=0.389, pruned_loss=0.1351, over 14337.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03724, over 283.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3637, pruned_loss=0.1128, over 2781039.55 frames. utt_duration=228.3 frames, utt_pad_proportion=0.07277, over 49036.78 utterances.], batch size: 283, lr: 2.72e-04
+2022-09-18 12:01:48,435 INFO [train.py:885] (0/2) Epoch 17, batch 11700, loss[loss=0.1659, simple_loss=0.2408, pruned_loss=0.04553, over 13494.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.08915, over 50.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3583, pruned_loss=0.1102, over 2782371.61 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07028, over 47008.91 utterances.], batch size: 50, lr: 2.72e-04
+2022-09-18 12:02:17,286 INFO [train.py:885] (0/2) Epoch 17, batch 11750, loss[loss=0.2223, simple_loss=0.2869, pruned_loss=0.07887, over 14170.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04498, over 109.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3564, pruned_loss=0.1095, over 2782927.60 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06988, over 45757.72 utterances.], batch size: 109, lr: 2.72e-04
+2022-09-18 12:02:46,144 INFO [train.py:885] (0/2) Epoch 17, batch 11800, loss[loss=0.1992, simple_loss=0.2838, pruned_loss=0.0573, over 14199.00 frames. utt_duration=639.8 frames, utt_pad_proportion=0.04511, over 89.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3561, pruned_loss=0.1094, over 2786399.23 frames. utt_duration=247 frames, utt_pad_proportion=0.06768, over 45399.13 utterances.], batch size: 89, lr: 2.72e-04
+2022-09-18 12:03:16,258 INFO [train.py:885] (0/2) Epoch 17, batch 11850, loss[loss=0.1775, simple_loss=0.2485, pruned_loss=0.0533, over 13150.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.108, over 33.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3582, pruned_loss=0.1098, over 2781758.32 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07014, over 46869.16 utterances.], batch size: 33, lr: 2.72e-04
+2022-09-18 12:03:45,995 INFO [train.py:885] (0/2) Epoch 17, batch 11900, loss[loss=0.3036, simple_loss=0.375, pruned_loss=0.116, over 14302.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.0381, over 180.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3602, pruned_loss=0.1105, over 2783146.02 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07044, over 47911.12 utterances.], batch size: 180, lr: 2.72e-04
+2022-09-18 12:04:16,231 INFO [train.py:885] (0/2) Epoch 17, batch 11950, loss[loss=0.2648, simple_loss=0.3499, pruned_loss=0.08984, over 14253.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.0418, over 225.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.364, pruned_loss=0.1122, over 2776927.07 frames. utt_duration=222.9 frames, utt_pad_proportion=0.07392, over 50159.67 utterances.], batch size: 225, lr: 2.72e-04
+2022-09-18 12:04:45,292 INFO [train.py:885] (0/2) Epoch 17, batch 12000, loss[loss=0.2875, simple_loss=0.3535, pruned_loss=0.1108, over 14343.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03945, over 167.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3608, pruned_loss=0.1111, over 2780954.32 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07219, over 47665.27 utterances.], batch size: 167, lr: 2.72e-04
+2022-09-18 12:04:45,293 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 12:04:50,060 INFO [train.py:914] (0/2) Epoch 17, validation: loss=0.1947, simple_loss=0.2725, pruned_loss=0.05844, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 12:05:19,876 INFO [train.py:885] (0/2) Epoch 17, batch 12050, loss[loss=0.2337, simple_loss=0.3068, pruned_loss=0.08033, over 13957.00 frames. utt_duration=708 frames, utt_pad_proportion=0.06348, over 79.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3592, pruned_loss=0.11, over 2776760.99 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07262, over 47547.05 utterances.], batch size: 79, lr: 2.72e-04
+2022-09-18 12:05:49,542 INFO [train.py:885] (0/2) Epoch 17, batch 12100, loss[loss=0.2002, simple_loss=0.2887, pruned_loss=0.05587, over 14055.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05501, over 79.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3577, pruned_loss=0.1086, over 2775477.40 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07458, over 47699.95 utterances.], batch size: 79, lr: 2.72e-04
+2022-09-18 12:06:18,387 INFO [train.py:885] (0/2) Epoch 17, batch 12150, loss[loss=0.3142, simple_loss=0.408, pruned_loss=0.1102, over 13834.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06972, over 412.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3596, pruned_loss=0.1098, over 2779278.98 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07246, over 48543.77 utterances.], batch size: 412, lr: 2.72e-04
+2022-09-18 12:06:48,306 INFO [train.py:885] (0/2) Epoch 17, batch 12200, loss[loss=0.2765, simple_loss=0.361, pruned_loss=0.09602, over 14268.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04065, over 180.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3591, pruned_loss=0.1103, over 2775919.18 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07377, over 48103.10 utterances.], batch size: 180, lr: 2.72e-04
+2022-09-18 12:07:17,722 INFO [train.py:885] (0/2) Epoch 17, batch 12250, loss[loss=0.3181, simple_loss=0.3621, pruned_loss=0.1371, over 14265.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04219, over 141.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3567, pruned_loss=0.1096, over 2774007.55 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07289, over 47250.01 utterances.], batch size: 141, lr: 2.72e-04
+2022-09-18 12:07:47,288 INFO [train.py:885] (0/2) Epoch 17, batch 12300, loss[loss=0.3418, simple_loss=0.4007, pruned_loss=0.1414, over 14293.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04113, over 262.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3623, pruned_loss=0.1128, over 2780604.59 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07291, over 48215.33 utterances.], batch size: 262, lr: 2.72e-04
+2022-09-18 12:08:15,921 INFO [train.py:885] (0/2) Epoch 17, batch 12350, loss[loss=0.1708, simple_loss=0.2406, pruned_loss=0.05051, over 13157.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1142, over 33.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3562, pruned_loss=0.1097, over 2784768.01 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07047, over 46282.25 utterances.], batch size: 33, lr: 2.72e-04
+2022-09-18 12:08:45,667 INFO [train.py:885] (0/2) Epoch 17, batch 12400, loss[loss=0.1585, simple_loss=0.2242, pruned_loss=0.04634, over 13593.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08175, over 50.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3521, pruned_loss=0.1078, over 2787054.95 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06904, over 44557.67 utterances.], batch size: 50, lr: 2.71e-04
+2022-09-18 12:09:15,423 INFO [train.py:885] (0/2) Epoch 17, batch 12450, loss[loss=0.2742, simple_loss=0.3388, pruned_loss=0.1049, over 14320.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.03665, over 130.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3534, pruned_loss=0.1082, over 2786716.05 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0698, over 45023.00 utterances.], batch size: 130, lr: 2.71e-04
+2022-09-18 12:09:44,420 INFO [train.py:885] (0/2) Epoch 17, batch 12500, loss[loss=0.3555, simple_loss=0.426, pruned_loss=0.1425, over 14050.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05498, over 366.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3535, pruned_loss=0.1078, over 2785808.44 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06828, over 45293.15 utterances.], batch size: 366, lr: 2.71e-04
+2022-09-18 12:10:15,138 INFO [train.py:885] (0/2) Epoch 17, batch 12550, loss[loss=0.3511, simple_loss=0.4019, pruned_loss=0.1502, over 14252.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.0418, over 180.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3545, pruned_loss=0.109, over 2781912.50 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06935, over 45367.78 utterances.], batch size: 180, lr: 2.71e-04
+2022-09-18 12:10:42,711 INFO [train.py:885] (0/2) Epoch 17, batch 12600, loss[loss=0.3389, simple_loss=0.4189, pruned_loss=0.1295, over 13790.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07038, over 411.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3557, pruned_loss=0.11, over 2784819.35 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06919, over 45676.96 utterances.], batch size: 411, lr: 2.71e-04
+2022-09-18 12:10:53,452 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-17.pt
+2022-09-18 12:11:00,497 INFO [train.py:885] (0/2) Epoch 18, batch 0, loss[loss=0.2765, simple_loss=0.3484, pruned_loss=0.1023, over 14292.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04183, over 154.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3484, pruned_loss=0.1023, over 14292.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04183, over 154.00 utterances.], batch size: 154, lr: 2.64e-04
+2022-09-18 12:11:30,536 INFO [train.py:885] (0/2) Epoch 18, batch 50, loss[loss=0.1647, simple_loss=0.2175, pruned_loss=0.05599, over 12256.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.1647, over 24.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3684, pruned_loss=0.1132, over 622149.33 frames. utt_duration=208.6 frames, utt_pad_proportion=0.08236, over 12017.19 utterances.], batch size: 24, lr: 2.64e-04
+2022-09-18 12:12:09,746 INFO [train.py:885] (0/2) Epoch 18, batch 100, loss[loss=0.378, simple_loss=0.4228, pruned_loss=0.1666, over 14273.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04077, over 335.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3552, pruned_loss=0.1098, over 1102454.91 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07337, over 18138.93 utterances.], batch size: 335, lr: 2.64e-04
+2022-09-18 12:12:39,028 INFO [train.py:885] (0/2) Epoch 18, batch 150, loss[loss=0.4115, simple_loss=0.4789, pruned_loss=0.1721, over 13602.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07974, over 560.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3586, pruned_loss=0.1103, over 1476310.65 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07098, over 25708.23 utterances.], batch size: 560, lr: 2.64e-04
+2022-09-18 12:13:08,003 INFO [train.py:885] (0/2) Epoch 18, batch 200, loss[loss=0.2119, simple_loss=0.2766, pruned_loss=0.07355, over 13788.00 frames. utt_duration=800.7 frames, utt_pad_proportion=0.06787, over 69.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3557, pruned_loss=0.1083, over 1769381.58 frames. utt_duration=241.2 frames, utt_pad_proportion=0.06679, over 29522.32 utterances.], batch size: 69, lr: 2.64e-04
+2022-09-18 12:13:38,268 INFO [train.py:885] (0/2) Epoch 18, batch 250, loss[loss=0.2896, simple_loss=0.3616, pruned_loss=0.1088, over 14356.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03566, over 195.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.361, pruned_loss=0.1106, over 1986873.28 frames. utt_duration=225.2 frames, utt_pad_proportion=0.07274, over 35526.07 utterances.], batch size: 195, lr: 2.64e-04
+2022-09-18 12:14:07,588 INFO [train.py:885] (0/2) Epoch 18, batch 300, loss[loss=0.2634, simple_loss=0.3415, pruned_loss=0.09263, over 14321.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.0395, over 154.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3614, pruned_loss=0.1117, over 2166070.47 frames. utt_duration=230 frames, utt_pad_proportion=0.07189, over 37909.34 utterances.], batch size: 154, lr: 2.64e-04
+2022-09-18 12:14:37,311 INFO [train.py:885] (0/2) Epoch 18, batch 350, loss[loss=0.2349, simple_loss=0.3068, pruned_loss=0.08146, over 14057.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05566, over 98.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3591, pruned_loss=0.1098, over 2302037.48 frames. utt_duration=229.5 frames, utt_pad_proportion=0.07286, over 40387.89 utterances.], batch size: 98, lr: 2.64e-04
+2022-09-18 12:15:06,968 INFO [train.py:885] (0/2) Epoch 18, batch 400, loss[loss=0.4187, simple_loss=0.5041, pruned_loss=0.1666, over 13156.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3594, pruned_loss=0.1095, over 2408474.57 frames. utt_duration=227.2 frames, utt_pad_proportion=0.07256, over 42676.32 utterances.], batch size: 653, lr: 2.64e-04
+2022-09-18 12:15:36,362 INFO [train.py:885] (0/2) Epoch 18, batch 450, loss[loss=0.3329, simple_loss=0.3929, pruned_loss=0.1365, over 14240.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.0426, over 306.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3553, pruned_loss=0.1079, over 2491888.05 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07217, over 42302.77 utterances.], batch size: 306, lr: 2.64e-04
+2022-09-18 12:16:06,140 INFO [train.py:885] (0/2) Epoch 18, batch 500, loss[loss=0.1917, simple_loss=0.2456, pruned_loss=0.06887, over 13924.00 frames. utt_duration=929.5 frames, utt_pad_proportion=0.06583, over 60.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3585, pruned_loss=0.1096, over 2550816.87 frames. utt_duration=228.4 frames, utt_pad_proportion=0.0736, over 44962.89 utterances.], batch size: 60, lr: 2.64e-04
+2022-09-18 12:16:35,544 INFO [train.py:885] (0/2) Epoch 18, batch 550, loss[loss=0.1745, simple_loss=0.2527, pruned_loss=0.04816, over 12929.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1082, over 25.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3527, pruned_loss=0.1072, over 2599672.83 frames. utt_duration=242.4 frames, utt_pad_proportion=0.0712, over 43158.76 utterances.], batch size: 25, lr: 2.64e-04
+2022-09-18 12:17:04,593 INFO [train.py:885] (0/2) Epoch 18, batch 600, loss[loss=0.1918, simple_loss=0.2555, pruned_loss=0.06407, over 12973.00 frames. utt_duration=1574 frames, utt_pad_proportion=0.1217, over 33.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3526, pruned_loss=0.1078, over 2644542.18 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06874, over 42709.79 utterances.], batch size: 33, lr: 2.64e-04
+2022-09-18 12:17:34,715 INFO [train.py:885] (0/2) Epoch 18, batch 650, loss[loss=0.2552, simple_loss=0.3243, pruned_loss=0.09307, over 14335.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03755, over 120.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3533, pruned_loss=0.1084, over 2670913.64 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07085, over 43524.66 utterances.], batch size: 120, lr: 2.64e-04
+2022-09-18 12:18:03,991 INFO [train.py:885] (0/2) Epoch 18, batch 700, loss[loss=0.2978, simple_loss=0.3711, pruned_loss=0.1123, over 14393.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03504, over 244.00 utterances.], tot_loss[loss=0.292, simple_loss=0.3603, pruned_loss=0.1118, over 2696584.13 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07301, over 46933.21 utterances.], batch size: 244, lr: 2.64e-04
+2022-09-18 12:18:33,072 INFO [train.py:885] (0/2) Epoch 18, batch 750, loss[loss=0.2899, simple_loss=0.369, pruned_loss=0.1054, over 14353.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03299, over 244.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3577, pruned_loss=0.1106, over 2716235.15 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07164, over 46455.26 utterances.], batch size: 244, lr: 2.64e-04
+2022-09-18 12:19:03,112 INFO [train.py:885] (0/2) Epoch 18, batch 800, loss[loss=0.2536, simple_loss=0.3212, pruned_loss=0.09298, over 14285.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03896, over 130.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3559, pruned_loss=0.1092, over 2732331.23 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0711, over 45872.45 utterances.], batch size: 130, lr: 2.64e-04
+2022-09-18 12:19:32,448 INFO [train.py:885] (0/2) Epoch 18, batch 850, loss[loss=0.1741, simple_loss=0.237, pruned_loss=0.05559, over 13248.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09584, over 41.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.356, pruned_loss=0.1096, over 2743156.54 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07012, over 45783.53 utterances.], batch size: 41, lr: 2.64e-04
+2022-09-18 12:20:02,461 INFO [train.py:885] (0/2) Epoch 18, batch 900, loss[loss=0.3236, simple_loss=0.3904, pruned_loss=0.1284, over 14340.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03617, over 210.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3536, pruned_loss=0.1088, over 2757645.53 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06676, over 43703.98 utterances.], batch size: 210, lr: 2.64e-04
+2022-09-18 12:20:31,317 INFO [train.py:885] (0/2) Epoch 18, batch 950, loss[loss=0.403, simple_loss=0.4424, pruned_loss=0.1819, over 14178.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04594, over 306.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3536, pruned_loss=0.1091, over 2763484.40 frames. utt_duration=256.4 frames, utt_pad_proportion=0.0671, over 43352.14 utterances.], batch size: 306, lr: 2.64e-04
+2022-09-18 12:21:00,979 INFO [train.py:885] (0/2) Epoch 18, batch 1000, loss[loss=0.3191, simple_loss=0.4086, pruned_loss=0.1148, over 13800.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07001, over 411.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3573, pruned_loss=0.1112, over 2767900.34 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06851, over 44717.94 utterances.], batch size: 411, lr: 2.64e-04
+2022-09-18 12:21:30,816 INFO [train.py:885] (0/2) Epoch 18, batch 1050, loss[loss=0.2833, simple_loss=0.3578, pruned_loss=0.1045, over 14366.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03244, over 244.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3571, pruned_loss=0.1109, over 2773241.52 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06814, over 44595.84 utterances.], batch size: 244, lr: 2.64e-04
+2022-09-18 12:22:00,197 INFO [train.py:885] (0/2) Epoch 18, batch 1100, loss[loss=0.4839, simple_loss=0.5468, pruned_loss=0.2105, over 13604.00 frames. utt_duration=98.54 frames, utt_pad_proportion=0.07904, over 560.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3587, pruned_loss=0.1119, over 2775326.43 frames. utt_duration=245 frames, utt_pad_proportion=0.06887, over 45576.09 utterances.], batch size: 560, lr: 2.64e-04
+2022-09-18 12:22:29,467 INFO [train.py:885] (0/2) Epoch 18, batch 1150, loss[loss=0.1569, simple_loss=0.2259, pruned_loss=0.04393, over 13722.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.07987, over 42.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.36, pruned_loss=0.1128, over 2771602.07 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07182, over 45979.62 utterances.], batch size: 42, lr: 2.63e-04
+2022-09-18 12:22:59,178 INFO [train.py:885] (0/2) Epoch 18, batch 1200, loss[loss=0.3465, simple_loss=0.4234, pruned_loss=0.1348, over 13767.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07213, over 411.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3581, pruned_loss=0.1118, over 2777701.23 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06865, over 44955.58 utterances.], batch size: 411, lr: 2.63e-04
+2022-09-18 12:23:29,031 INFO [train.py:885] (0/2) Epoch 18, batch 1250, loss[loss=0.2105, simple_loss=0.2726, pruned_loss=0.07418, over 14049.00 frames. utt_duration=574.9 frames, utt_pad_proportion=0.05593, over 98.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3549, pruned_loss=0.1095, over 2774736.49 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06929, over 44394.99 utterances.], batch size: 98, lr: 2.63e-04
+2022-09-18 12:23:58,525 INFO [train.py:885] (0/2) Epoch 18, batch 1300, loss[loss=0.2304, simple_loss=0.3065, pruned_loss=0.07713, over 14309.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.04154, over 141.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3586, pruned_loss=0.1105, over 2773700.75 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07247, over 47187.75 utterances.], batch size: 141, lr: 2.63e-04
+2022-09-18 12:24:26,723 INFO [train.py:885] (0/2) Epoch 18, batch 1350, loss[loss=0.2854, simple_loss=0.3471, pruned_loss=0.1118, over 14357.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03871, over 167.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3554, pruned_loss=0.1087, over 2772827.10 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07192, over 46413.66 utterances.], batch size: 167, lr: 2.63e-04
+2022-09-18 12:24:56,718 INFO [train.py:885] (0/2) Epoch 18, batch 1400, loss[loss=0.1921, simple_loss=0.2729, pruned_loss=0.05566, over 13801.00 frames. utt_duration=1316 frames, utt_pad_proportion=0.0721, over 42.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3554, pruned_loss=0.1089, over 2769512.67 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07607, over 46924.12 utterances.], batch size: 42, lr: 2.63e-04
+2022-09-18 12:25:26,816 INFO [train.py:885] (0/2) Epoch 18, batch 1450, loss[loss=0.2503, simple_loss=0.3051, pruned_loss=0.09777, over 14119.00 frames. utt_duration=808.1 frames, utt_pad_proportion=0.0548, over 70.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.353, pruned_loss=0.1072, over 2772263.00 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07452, over 45981.60 utterances.], batch size: 70, lr: 2.63e-04
+2022-09-18 12:25:33,213 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-216000.pt
+2022-09-18 12:25:56,515 INFO [train.py:885] (0/2) Epoch 18, batch 1500, loss[loss=0.1519, simple_loss=0.2225, pruned_loss=0.04061, over 13068.00 frames. utt_duration=1585 frames, utt_pad_proportion=0.1192, over 33.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3509, pruned_loss=0.1057, over 2779472.59 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07136, over 44669.71 utterances.], batch size: 33, lr: 2.63e-04
+2022-09-18 12:26:26,949 INFO [train.py:885] (0/2) Epoch 18, batch 1550, loss[loss=0.3722, simple_loss=0.4355, pruned_loss=0.1544, over 14027.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05411, over 365.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3531, pruned_loss=0.1079, over 2777309.78 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07107, over 45153.27 utterances.], batch size: 365, lr: 2.63e-04
+2022-09-18 12:26:56,091 INFO [train.py:885] (0/2) Epoch 18, batch 1600, loss[loss=0.3544, simple_loss=0.417, pruned_loss=0.1459, over 14334.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03775, over 283.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3539, pruned_loss=0.109, over 2783870.28 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06936, over 44832.16 utterances.], batch size: 283, lr: 2.63e-04
+2022-09-18 12:27:25,851 INFO [train.py:885] (0/2) Epoch 18, batch 1650, loss[loss=0.3079, simple_loss=0.3755, pruned_loss=0.1201, over 14381.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.0354, over 244.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3538, pruned_loss=0.1085, over 2784925.98 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06776, over 44798.85 utterances.], batch size: 244, lr: 2.63e-04
+2022-09-18 12:27:54,609 INFO [train.py:885] (0/2) Epoch 18, batch 1700, loss[loss=0.3417, simple_loss=0.4166, pruned_loss=0.1334, over 13982.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05715, over 365.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3488, pruned_loss=0.1061, over 2780804.85 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06911, over 43140.34 utterances.], batch size: 365, lr: 2.63e-04
+2022-09-18 12:28:24,310 INFO [train.py:885] (0/2) Epoch 18, batch 1750, loss[loss=0.1891, simple_loss=0.2669, pruned_loss=0.05565, over 14189.00 frames. utt_duration=639.6 frames, utt_pad_proportion=0.0468, over 89.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3518, pruned_loss=0.1072, over 2783239.02 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06751, over 44474.83 utterances.], batch size: 89, lr: 2.63e-04
+2022-09-18 12:28:54,076 INFO [train.py:885] (0/2) Epoch 18, batch 1800, loss[loss=0.2944, simple_loss=0.3725, pruned_loss=0.1082, over 14373.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03455, over 210.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3511, pruned_loss=0.1065, over 2781502.78 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07059, over 44856.77 utterances.], batch size: 210, lr: 2.63e-04
+2022-09-18 12:29:24,091 INFO [train.py:885] (0/2) Epoch 18, batch 1850, loss[loss=0.3951, simple_loss=0.4408, pruned_loss=0.1746, over 14211.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04473, over 335.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3537, pruned_loss=0.1086, over 2781931.94 frames. utt_duration=247 frames, utt_pad_proportion=0.07052, over 45321.30 utterances.], batch size: 335, lr: 2.63e-04
+2022-09-18 12:29:53,756 INFO [train.py:885] (0/2) Epoch 18, batch 1900, loss[loss=0.3713, simple_loss=0.4404, pruned_loss=0.1512, over 14024.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05689, over 366.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3569, pruned_loss=0.1101, over 2783123.19 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07173, over 45816.69 utterances.], batch size: 366, lr: 2.63e-04
+2022-09-18 12:30:23,144 INFO [train.py:885] (0/2) Epoch 18, batch 1950, loss[loss=0.3664, simple_loss=0.4671, pruned_loss=0.1329, over 13098.00 frames. utt_duration=81.8 frames, utt_pad_proportion=0.1109, over 653.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3563, pruned_loss=0.11, over 2779133.03 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07159, over 46464.88 utterances.], batch size: 653, lr: 2.63e-04
+2022-09-18 12:30:52,788 INFO [train.py:885] (0/2) Epoch 18, batch 2000, loss[loss=0.2382, simple_loss=0.3115, pruned_loss=0.08242, over 14088.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05522, over 98.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.357, pruned_loss=0.1098, over 2783033.23 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07138, over 46727.85 utterances.], batch size: 98, lr: 2.63e-04
+2022-09-18 12:31:22,379 INFO [train.py:885] (0/2) Epoch 18, batch 2050, loss[loss=0.2784, simple_loss=0.3427, pruned_loss=0.107, over 14321.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03715, over 130.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3589, pruned_loss=0.1111, over 2785206.90 frames. utt_duration=241 frames, utt_pad_proportion=0.07219, over 46508.06 utterances.], batch size: 130, lr: 2.63e-04
+2022-09-18 12:31:52,140 INFO [train.py:885] (0/2) Epoch 18, batch 2100, loss[loss=0.4838, simple_loss=0.4969, pruned_loss=0.2354, over 14215.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04377, over 306.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3593, pruned_loss=0.1116, over 2782138.29 frames. utt_duration=240 frames, utt_pad_proportion=0.07281, over 46659.84 utterances.], batch size: 306, lr: 2.63e-04
+2022-09-18 12:32:21,319 INFO [train.py:885] (0/2) Epoch 18, batch 2150, loss[loss=0.1641, simple_loss=0.2424, pruned_loss=0.04291, over 13863.00 frames. utt_duration=805.1 frames, utt_pad_proportion=0.06271, over 69.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3575, pruned_loss=0.1106, over 2780151.67 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07174, over 45894.51 utterances.], batch size: 69, lr: 2.63e-04
+2022-09-18 12:32:51,740 INFO [train.py:885] (0/2) Epoch 18, batch 2200, loss[loss=0.2824, simple_loss=0.3513, pruned_loss=0.1067, over 14245.00 frames. utt_duration=317.9 frames, utt_pad_proportion=0.04235, over 180.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.36, pruned_loss=0.1115, over 2782558.93 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07166, over 47229.74 utterances.], batch size: 180, lr: 2.63e-04
+2022-09-18 12:33:20,955 INFO [train.py:885] (0/2) Epoch 18, batch 2250, loss[loss=0.1955, simple_loss=0.2622, pruned_loss=0.06437, over 13460.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09159, over 50.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.36, pruned_loss=0.1108, over 2781454.46 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07258, over 47724.88 utterances.], batch size: 50, lr: 2.63e-04
+2022-09-18 12:33:50,733 INFO [train.py:885] (0/2) Epoch 18, batch 2300, loss[loss=0.523, simple_loss=0.5997, pruned_loss=0.2232, over 12470.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.147, over 810.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3602, pruned_loss=0.111, over 2784936.69 frames. utt_duration=234.9 frames, utt_pad_proportion=0.0711, over 47721.00 utterances.], batch size: 810, lr: 2.63e-04
+2022-09-18 12:34:19,872 INFO [train.py:885] (0/2) Epoch 18, batch 2350, loss[loss=0.2143, simple_loss=0.2927, pruned_loss=0.06791, over 13245.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.0986, over 26.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3583, pruned_loss=0.1097, over 2784210.28 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07028, over 46751.57 utterances.], batch size: 26, lr: 2.63e-04
+2022-09-18 12:34:49,910 INFO [train.py:885] (0/2) Epoch 18, batch 2400, loss[loss=0.344, simple_loss=0.3794, pruned_loss=0.1543, over 14187.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.04369, over 109.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3552, pruned_loss=0.1084, over 2783900.30 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06999, over 45511.87 utterances.], batch size: 109, lr: 2.63e-04
+2022-09-18 12:35:19,920 INFO [train.py:885] (0/2) Epoch 18, batch 2450, loss[loss=0.3548, simple_loss=0.4049, pruned_loss=0.1523, over 14319.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03857, over 283.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3535, pruned_loss=0.1085, over 2780198.26 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07145, over 44651.91 utterances.], batch size: 283, lr: 2.63e-04
+2022-09-18 12:35:49,307 INFO [train.py:885] (0/2) Epoch 18, batch 2500, loss[loss=0.2677, simple_loss=0.3453, pruned_loss=0.095, over 14273.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04404, over 141.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3558, pruned_loss=0.1093, over 2780796.17 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07164, over 45876.49 utterances.], batch size: 141, lr: 2.63e-04
+2022-09-18 12:36:18,468 INFO [train.py:885] (0/2) Epoch 18, batch 2550, loss[loss=0.3019, simple_loss=0.3671, pruned_loss=0.1184, over 14296.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03891, over 180.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3568, pruned_loss=0.1101, over 2781867.40 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07113, over 45899.24 utterances.], batch size: 180, lr: 2.63e-04
+2022-09-18 12:36:48,249 INFO [train.py:885] (0/2) Epoch 18, batch 2600, loss[loss=0.1771, simple_loss=0.2485, pruned_loss=0.0528, over 13619.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.0906, over 42.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.358, pruned_loss=0.1105, over 2780115.00 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07143, over 46313.93 utterances.], batch size: 42, lr: 2.63e-04
+2022-09-18 12:37:18,444 INFO [train.py:885] (0/2) Epoch 18, batch 2650, loss[loss=0.1758, simple_loss=0.2452, pruned_loss=0.05319, over 13026.00 frames. utt_duration=2006 frames, utt_pad_proportion=0.1161, over 26.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3578, pruned_loss=0.1106, over 2773981.97 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07448, over 45873.97 utterances.], batch size: 26, lr: 2.63e-04
+2022-09-18 12:37:47,867 INFO [train.py:885] (0/2) Epoch 18, batch 2700, loss[loss=0.3256, simple_loss=0.3864, pruned_loss=0.1324, over 14267.00 frames. utt_duration=219.3 frames, utt_pad_proportion=0.04243, over 262.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3601, pruned_loss=0.1109, over 2775093.36 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07514, over 47653.45 utterances.], batch size: 262, lr: 2.63e-04
+2022-09-18 12:38:17,549 INFO [train.py:885] (0/2) Epoch 18, batch 2750, loss[loss=0.3076, simple_loss=0.3827, pruned_loss=0.1162, over 14365.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03289, over 244.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3572, pruned_loss=0.1098, over 2778397.36 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07337, over 46553.26 utterances.], batch size: 244, lr: 2.63e-04
+2022-09-18 12:38:46,460 INFO [train.py:885] (0/2) Epoch 18, batch 2800, loss[loss=0.307, simple_loss=0.381, pruned_loss=0.1165, over 14315.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03922, over 262.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3563, pruned_loss=0.1094, over 2784316.74 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07102, over 45989.96 utterances.], batch size: 262, lr: 2.62e-04
+2022-09-18 12:39:16,964 INFO [train.py:885] (0/2) Epoch 18, batch 2850, loss[loss=0.3305, simple_loss=0.4361, pruned_loss=0.1124, over 13620.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07774, over 560.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3617, pruned_loss=0.1109, over 2780930.61 frames. utt_duration=226.9 frames, utt_pad_proportion=0.07399, over 49348.81 utterances.], batch size: 560, lr: 2.62e-04
+2022-09-18 12:39:45,562 INFO [train.py:885] (0/2) Epoch 18, batch 2900, loss[loss=0.2461, simple_loss=0.3208, pruned_loss=0.08574, over 14304.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04085, over 154.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3586, pruned_loss=0.1105, over 2781578.22 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07233, over 47295.36 utterances.], batch size: 154, lr: 2.62e-04
+2022-09-18 12:40:15,667 INFO [train.py:885] (0/2) Epoch 18, batch 2950, loss[loss=0.2734, simple_loss=0.3483, pruned_loss=0.09922, over 14229.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04679, over 141.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3555, pruned_loss=0.1092, over 2772888.94 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07377, over 46582.33 utterances.], batch size: 141, lr: 2.62e-04
+2022-09-18 12:40:45,197 INFO [train.py:885] (0/2) Epoch 18, batch 3000, loss[loss=0.2237, simple_loss=0.2956, pruned_loss=0.0759, over 14115.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.05136, over 98.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.358, pruned_loss=0.1111, over 2769806.38 frames. utt_duration=234 frames, utt_pad_proportion=0.07601, over 47652.69 utterances.], batch size: 98, lr: 2.62e-04
+2022-09-18 12:40:45,198 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 12:40:49,329 INFO [train.py:914] (0/2) Epoch 18, validation: loss=0.2004, simple_loss=0.2787, pruned_loss=0.06103, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 12:41:19,171 INFO [train.py:885] (0/2) Epoch 18, batch 3050, loss[loss=0.2715, simple_loss=0.3483, pruned_loss=0.09733, over 14340.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03647, over 195.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3571, pruned_loss=0.1106, over 2773208.90 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07496, over 47206.74 utterances.], batch size: 195, lr: 2.62e-04
+2022-09-18 12:41:48,633 INFO [train.py:885] (0/2) Epoch 18, batch 3100, loss[loss=0.2477, simple_loss=0.3155, pruned_loss=0.08996, over 14114.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05162, over 98.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3575, pruned_loss=0.1105, over 2772333.16 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07513, over 47678.11 utterances.], batch size: 98, lr: 2.62e-04
+2022-09-18 12:42:18,023 INFO [train.py:885] (0/2) Epoch 18, batch 3150, loss[loss=0.1504, simple_loss=0.2035, pruned_loss=0.04863, over 13117.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1141, over 33.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3524, pruned_loss=0.1082, over 2775544.73 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07329, over 45331.99 utterances.], batch size: 33, lr: 2.62e-04
+2022-09-18 12:42:47,793 INFO [train.py:885] (0/2) Epoch 18, batch 3200, loss[loss=0.3386, simple_loss=0.4373, pruned_loss=0.12, over 13669.00 frames. utt_duration=99.02 frames, utt_pad_proportion=0.0746, over 560.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3539, pruned_loss=0.1087, over 2773788.88 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07561, over 46838.50 utterances.], batch size: 560, lr: 2.62e-04
+2022-09-18 12:43:17,407 INFO [train.py:885] (0/2) Epoch 18, batch 3250, loss[loss=0.2683, simple_loss=0.3352, pruned_loss=0.1007, over 14326.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03943, over 154.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3521, pruned_loss=0.107, over 2773706.64 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07432, over 46471.64 utterances.], batch size: 154, lr: 2.62e-04
+2022-09-18 12:43:47,378 INFO [train.py:885] (0/2) Epoch 18, batch 3300, loss[loss=0.2118, simple_loss=0.2686, pruned_loss=0.07753, over 14153.00 frames. utt_duration=718.3 frames, utt_pad_proportion=0.0499, over 79.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3521, pruned_loss=0.1069, over 2776517.60 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07196, over 46459.29 utterances.], batch size: 79, lr: 2.62e-04
+2022-09-18 12:44:17,027 INFO [train.py:885] (0/2) Epoch 18, batch 3350, loss[loss=0.232, simple_loss=0.2881, pruned_loss=0.08798, over 14100.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05261, over 98.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3541, pruned_loss=0.1088, over 2775530.93 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07473, over 46281.78 utterances.], batch size: 98, lr: 2.62e-04
+2022-09-18 12:44:46,914 INFO [train.py:885] (0/2) Epoch 18, batch 3400, loss[loss=0.3285, simple_loss=0.3767, pruned_loss=0.1402, over 14242.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04611, over 141.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.354, pruned_loss=0.1087, over 2782866.75 frames. utt_duration=248.1 frames, utt_pad_proportion=0.0711, over 45135.63 utterances.], batch size: 141, lr: 2.62e-04
+2022-09-18 12:45:16,281 INFO [train.py:885] (0/2) Epoch 18, batch 3450, loss[loss=0.3074, simple_loss=0.3753, pruned_loss=0.1197, over 14313.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03767, over 180.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3543, pruned_loss=0.1076, over 2782300.88 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07128, over 46563.37 utterances.], batch size: 180, lr: 2.62e-04
+2022-09-18 12:45:45,925 INFO [train.py:885] (0/2) Epoch 18, batch 3500, loss[loss=0.5007, simple_loss=0.5863, pruned_loss=0.2075, over 12583.00 frames. utt_duration=63.7 frames, utt_pad_proportion=0.1392, over 810.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3567, pruned_loss=0.109, over 2784732.43 frames. utt_duration=239.9 frames, utt_pad_proportion=0.0702, over 46724.72 utterances.], batch size: 810, lr: 2.62e-04
+2022-09-18 12:46:15,136 INFO [train.py:885] (0/2) Epoch 18, batch 3550, loss[loss=0.3776, simple_loss=0.4605, pruned_loss=0.1474, over 13604.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07924, over 560.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.356, pruned_loss=0.1089, over 2783074.14 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07072, over 46688.69 utterances.], batch size: 560, lr: 2.62e-04
+2022-09-18 12:46:44,906 INFO [train.py:885] (0/2) Epoch 18, batch 3600, loss[loss=0.2482, simple_loss=0.329, pruned_loss=0.08364, over 14191.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.04983, over 141.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3562, pruned_loss=0.1095, over 2782217.92 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07128, over 46753.59 utterances.], batch size: 141, lr: 2.62e-04
+2022-09-18 12:47:13,734 INFO [train.py:885] (0/2) Epoch 18, batch 3650, loss[loss=0.3575, simple_loss=0.4125, pruned_loss=0.1513, over 14178.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04612, over 306.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3549, pruned_loss=0.109, over 2786256.35 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06931, over 45907.51 utterances.], batch size: 306, lr: 2.62e-04
+2022-09-18 12:47:43,388 INFO [train.py:885] (0/2) Epoch 18, batch 3700, loss[loss=0.1946, simple_loss=0.2664, pruned_loss=0.06147, over 13983.00 frames. utt_duration=709.4 frames, utt_pad_proportion=0.05918, over 79.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3571, pruned_loss=0.1097, over 2787103.86 frames. utt_duration=239.8 frames, utt_pad_proportion=0.0694, over 46770.71 utterances.], batch size: 79, lr: 2.62e-04
+2022-09-18 12:48:13,727 INFO [train.py:885] (0/2) Epoch 18, batch 3750, loss[loss=0.3286, simple_loss=0.3943, pruned_loss=0.1315, over 14361.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03305, over 244.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3591, pruned_loss=0.111, over 2783508.66 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07178, over 47488.42 utterances.], batch size: 244, lr: 2.62e-04
+2022-09-18 12:48:42,650 INFO [train.py:885] (0/2) Epoch 18, batch 3800, loss[loss=0.3508, simple_loss=0.412, pruned_loss=0.1448, over 14219.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04438, over 306.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3601, pruned_loss=0.1115, over 2781782.32 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07162, over 47538.08 utterances.], batch size: 306, lr: 2.62e-04
+2022-09-18 12:49:12,067 INFO [train.py:885] (0/2) Epoch 18, batch 3850, loss[loss=0.3187, simple_loss=0.3855, pruned_loss=0.126, over 14236.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04378, over 335.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3646, pruned_loss=0.1136, over 2782294.02 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07182, over 49199.47 utterances.], batch size: 335, lr: 2.62e-04
+2022-09-18 12:49:41,313 INFO [train.py:885] (0/2) Epoch 18, batch 3900, loss[loss=0.4351, simple_loss=0.4699, pruned_loss=0.2001, over 14232.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.0431, over 306.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3634, pruned_loss=0.1133, over 2782172.25 frames. utt_duration=229.5 frames, utt_pad_proportion=0.07209, over 48802.46 utterances.], batch size: 306, lr: 2.62e-04
+2022-09-18 12:50:10,725 INFO [train.py:885] (0/2) Epoch 18, batch 3950, loss[loss=0.3566, simple_loss=0.4118, pruned_loss=0.1507, over 14271.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04089, over 335.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3575, pruned_loss=0.1102, over 2783040.19 frames. utt_duration=240 frames, utt_pad_proportion=0.0712, over 46664.19 utterances.], batch size: 335, lr: 2.62e-04
+2022-09-18 12:50:46,658 INFO [train.py:885] (0/2) Epoch 18, batch 4000, loss[loss=0.3018, simple_loss=0.392, pruned_loss=0.1058, over 14044.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05536, over 366.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3592, pruned_loss=0.1113, over 2783346.67 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07056, over 47211.14 utterances.], batch size: 366, lr: 2.62e-04
+2022-09-18 12:51:15,970 INFO [train.py:885] (0/2) Epoch 18, batch 4050, loss[loss=0.2917, simple_loss=0.3575, pruned_loss=0.1129, over 14283.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04185, over 154.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3574, pruned_loss=0.1104, over 2783072.99 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07113, over 46346.46 utterances.], batch size: 154, lr: 2.62e-04
+2022-09-18 12:51:45,768 INFO [train.py:885] (0/2) Epoch 18, batch 4100, loss[loss=0.2323, simple_loss=0.3066, pruned_loss=0.07899, over 14298.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04013, over 120.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3585, pruned_loss=0.1107, over 2779224.36 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07319, over 46755.15 utterances.], batch size: 120, lr: 2.62e-04
+2022-09-18 12:52:15,053 INFO [train.py:885] (0/2) Epoch 18, batch 4150, loss[loss=0.5153, simple_loss=0.6013, pruned_loss=0.2146, over 12451.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1487, over 811.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.36, pruned_loss=0.1121, over 2776049.97 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07459, over 47933.78 utterances.], batch size: 811, lr: 2.62e-04
+2022-09-18 12:52:44,498 INFO [train.py:885] (0/2) Epoch 18, batch 4200, loss[loss=0.3197, simple_loss=0.4196, pruned_loss=0.1099, over 13651.00 frames. utt_duration=98.87 frames, utt_pad_proportion=0.07595, over 560.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3587, pruned_loss=0.111, over 2778554.84 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07422, over 47697.59 utterances.], batch size: 560, lr: 2.62e-04
+2022-09-18 12:53:15,073 INFO [train.py:885] (0/2) Epoch 18, batch 4250, loss[loss=0.1979, simple_loss=0.2813, pruned_loss=0.05725, over 14176.00 frames. utt_duration=638.5 frames, utt_pad_proportion=0.04848, over 89.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3615, pruned_loss=0.1126, over 2780708.47 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07538, over 48416.17 utterances.], batch size: 89, lr: 2.62e-04
+2022-09-18 12:53:44,335 INFO [train.py:885] (0/2) Epoch 18, batch 4300, loss[loss=0.3426, simple_loss=0.437, pruned_loss=0.1241, over 13591.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07969, over 560.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3591, pruned_loss=0.1111, over 2778274.29 frames. utt_duration=232.7 frames, utt_pad_proportion=0.0757, over 48058.09 utterances.], batch size: 560, lr: 2.62e-04
+2022-09-18 12:54:14,258 INFO [train.py:885] (0/2) Epoch 18, batch 4350, loss[loss=0.2759, simple_loss=0.3523, pruned_loss=0.09969, over 14301.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03835, over 180.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3609, pruned_loss=0.1118, over 2780270.56 frames. utt_duration=228.5 frames, utt_pad_proportion=0.07422, over 48989.65 utterances.], batch size: 180, lr: 2.62e-04
+2022-09-18 12:54:43,849 INFO [train.py:885] (0/2) Epoch 18, batch 4400, loss[loss=0.5033, simple_loss=0.5914, pruned_loss=0.2076, over 12499.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1465, over 811.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3606, pruned_loss=0.1113, over 2774872.57 frames. utt_duration=227.5 frames, utt_pad_proportion=0.07774, over 49112.80 utterances.], batch size: 811, lr: 2.62e-04
+2022-09-18 12:55:13,818 INFO [train.py:885] (0/2) Epoch 18, batch 4450, loss[loss=0.1904, simple_loss=0.2728, pruned_loss=0.05397, over 13933.00 frames. utt_duration=930.4 frames, utt_pad_proportion=0.06213, over 60.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3589, pruned_loss=0.1105, over 2774093.57 frames. utt_duration=230 frames, utt_pad_proportion=0.07572, over 48555.42 utterances.], batch size: 60, lr: 2.61e-04
+2022-09-18 12:55:42,805 INFO [train.py:885] (0/2) Epoch 18, batch 4500, loss[loss=0.3024, simple_loss=0.3672, pruned_loss=0.1188, over 14260.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04099, over 225.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3559, pruned_loss=0.1092, over 2777149.96 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07505, over 47292.21 utterances.], batch size: 225, lr: 2.61e-04
+2022-09-18 12:56:12,697 INFO [train.py:885] (0/2) Epoch 18, batch 4550, loss[loss=0.3354, simple_loss=0.424, pruned_loss=0.1234, over 13608.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08308, over 477.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3565, pruned_loss=0.1089, over 2776955.92 frames. utt_duration=235 frames, utt_pad_proportion=0.07444, over 47574.54 utterances.], batch size: 477, lr: 2.61e-04
+2022-09-18 12:56:41,881 INFO [train.py:885] (0/2) Epoch 18, batch 4600, loss[loss=0.2936, simple_loss=0.339, pruned_loss=0.124, over 14072.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05486, over 98.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3557, pruned_loss=0.1093, over 2775561.47 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07519, over 46049.04 utterances.], batch size: 98, lr: 2.61e-04
+2022-09-18 12:57:11,312 INFO [train.py:885] (0/2) Epoch 18, batch 4650, loss[loss=0.3719, simple_loss=0.4437, pruned_loss=0.1501, over 13767.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07201, over 411.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3496, pruned_loss=0.1058, over 2774961.75 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07312, over 44250.77 utterances.], batch size: 411, lr: 2.61e-04
+2022-09-18 12:57:40,708 INFO [train.py:885] (0/2) Epoch 18, batch 4700, loss[loss=0.3988, simple_loss=0.4344, pruned_loss=0.1816, over 14309.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.03827, over 154.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3513, pruned_loss=0.1067, over 2776596.99 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07282, over 44954.37 utterances.], batch size: 154, lr: 2.61e-04
+2022-09-18 12:58:10,157 INFO [train.py:885] (0/2) Epoch 18, batch 4750, loss[loss=0.252, simple_loss=0.3195, pruned_loss=0.09223, over 13073.00 frames. utt_duration=2012 frames, utt_pad_proportion=0.1024, over 26.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3549, pruned_loss=0.1084, over 2777402.15 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07394, over 46274.65 utterances.], batch size: 26, lr: 2.61e-04
+2022-09-18 12:58:40,114 INFO [train.py:885] (0/2) Epoch 18, batch 4800, loss[loss=0.3563, simple_loss=0.4406, pruned_loss=0.136, over 13591.00 frames. utt_duration=98.44 frames, utt_pad_proportion=0.08004, over 560.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3544, pruned_loss=0.1079, over 2776369.06 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07294, over 45860.86 utterances.], batch size: 560, lr: 2.61e-04
+2022-09-18 12:59:09,481 INFO [train.py:885] (0/2) Epoch 18, batch 4850, loss[loss=0.21, simple_loss=0.2789, pruned_loss=0.07062, over 14073.00 frames. utt_duration=713.9 frames, utt_pad_proportion=0.05571, over 79.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3512, pruned_loss=0.1071, over 2775610.94 frames. utt_duration=255 frames, utt_pad_proportion=0.07083, over 43784.38 utterances.], batch size: 79, lr: 2.61e-04
+2022-09-18 12:59:38,822 INFO [train.py:885] (0/2) Epoch 18, batch 4900, loss[loss=0.1823, simple_loss=0.2647, pruned_loss=0.04996, over 13738.00 frames. utt_duration=1101 frames, utt_pad_proportion=0.07518, over 50.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3532, pruned_loss=0.1079, over 2776279.13 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07141, over 44652.90 utterances.], batch size: 50, lr: 2.61e-04
+2022-09-18 13:00:08,498 INFO [train.py:885] (0/2) Epoch 18, batch 4950, loss[loss=0.3239, simple_loss=0.389, pruned_loss=0.1294, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03894, over 283.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3521, pruned_loss=0.1083, over 2779462.10 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06976, over 43531.45 utterances.], batch size: 283, lr: 2.61e-04
+2022-09-18 13:00:37,319 INFO [train.py:885] (0/2) Epoch 18, batch 5000, loss[loss=0.396, simple_loss=0.4346, pruned_loss=0.1787, over 14311.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03884, over 283.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3493, pruned_loss=0.1065, over 2782449.40 frames. utt_duration=265.3 frames, utt_pad_proportion=0.0677, over 42188.24 utterances.], batch size: 283, lr: 2.61e-04
+2022-09-18 13:01:07,931 INFO [train.py:885] (0/2) Epoch 18, batch 5050, loss[loss=0.2956, simple_loss=0.3811, pruned_loss=0.105, over 13989.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05641, over 365.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3553, pruned_loss=0.1088, over 2778866.07 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07194, over 45800.99 utterances.], batch size: 365, lr: 2.61e-04
+2022-09-18 13:01:37,375 INFO [train.py:885] (0/2) Epoch 18, batch 5100, loss[loss=0.1966, simple_loss=0.2542, pruned_loss=0.06952, over 13546.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08249, over 50.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3585, pruned_loss=0.1098, over 2779557.13 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07175, over 47531.74 utterances.], batch size: 50, lr: 2.61e-04
+2022-09-18 13:02:07,184 INFO [train.py:885] (0/2) Epoch 18, batch 5150, loss[loss=0.321, simple_loss=0.3997, pruned_loss=0.1212, over 13988.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05598, over 365.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3603, pruned_loss=0.1114, over 2783362.35 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07158, over 47652.84 utterances.], batch size: 365, lr: 2.61e-04
+2022-09-18 13:02:36,968 INFO [train.py:885] (0/2) Epoch 18, batch 5200, loss[loss=0.2139, simple_loss=0.2934, pruned_loss=0.06721, over 14171.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04833, over 89.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3573, pruned_loss=0.1104, over 2782460.82 frames. utt_duration=239.6 frames, utt_pad_proportion=0.0708, over 46734.80 utterances.], batch size: 89, lr: 2.61e-04
+2022-09-18 13:03:06,170 INFO [train.py:885] (0/2) Epoch 18, batch 5250, loss[loss=0.295, simple_loss=0.3745, pruned_loss=0.1077, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03909, over 283.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3543, pruned_loss=0.1088, over 2786936.22 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06903, over 45727.25 utterances.], batch size: 283, lr: 2.61e-04
+2022-09-18 13:03:35,265 INFO [train.py:885] (0/2) Epoch 18, batch 5300, loss[loss=0.1772, simple_loss=0.2472, pruned_loss=0.05358, over 13867.00 frames. utt_duration=925.8 frames, utt_pad_proportion=0.06861, over 60.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3529, pruned_loss=0.1071, over 2782973.07 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07175, over 46764.60 utterances.], batch size: 60, lr: 2.61e-04
+2022-09-18 13:04:04,629 INFO [train.py:885] (0/2) Epoch 18, batch 5350, loss[loss=0.2099, simple_loss=0.2734, pruned_loss=0.07326, over 13906.00 frames. utt_duration=807.6 frames, utt_pad_proportion=0.0587, over 69.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3526, pruned_loss=0.1067, over 2782723.61 frames. utt_duration=242 frames, utt_pad_proportion=0.07216, over 46275.33 utterances.], batch size: 69, lr: 2.61e-04
+2022-09-18 13:04:34,454 INFO [train.py:885] (0/2) Epoch 18, batch 5400, loss[loss=0.4211, simple_loss=0.4929, pruned_loss=0.1746, over 13699.00 frames. utt_duration=116.4 frames, utt_pad_proportion=0.07645, over 477.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3505, pruned_loss=0.1054, over 2781631.50 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07096, over 45445.55 utterances.], batch size: 477, lr: 2.61e-04
+2022-09-18 13:05:03,610 INFO [train.py:885] (0/2) Epoch 18, batch 5450, loss[loss=0.3212, simple_loss=0.4162, pruned_loss=0.1131, over 13609.00 frames. utt_duration=98.45 frames, utt_pad_proportion=0.07988, over 561.00 utterances.], tot_loss[loss=0.282, simple_loss=0.352, pruned_loss=0.106, over 2778754.13 frames. utt_duration=241 frames, utt_pad_proportion=0.07137, over 46404.20 utterances.], batch size: 561, lr: 2.61e-04
+2022-09-18 13:05:10,735 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-220000.pt
+2022-09-18 13:05:34,730 INFO [train.py:885] (0/2) Epoch 18, batch 5500, loss[loss=0.2337, simple_loss=0.3106, pruned_loss=0.07838, over 14321.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03976, over 154.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3576, pruned_loss=0.1092, over 2778018.10 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07354, over 48431.32 utterances.], batch size: 154, lr: 2.61e-04
+2022-09-18 13:06:05,906 INFO [train.py:885] (0/2) Epoch 18, batch 5550, loss[loss=0.2481, simple_loss=0.3171, pruned_loss=0.08954, over 14272.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04037, over 130.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3588, pruned_loss=0.11, over 2777033.76 frames. utt_duration=229.9 frames, utt_pad_proportion=0.07517, over 48637.76 utterances.], batch size: 130, lr: 2.61e-04
+2022-09-18 13:06:35,386 INFO [train.py:885] (0/2) Epoch 18, batch 5600, loss[loss=0.2436, simple_loss=0.3139, pruned_loss=0.08666, over 14341.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03943, over 120.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3561, pruned_loss=0.1084, over 2777248.94 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07472, over 47758.42 utterances.], batch size: 120, lr: 2.61e-04
+2022-09-18 13:07:04,809 INFO [train.py:885] (0/2) Epoch 18, batch 5650, loss[loss=0.1998, simple_loss=0.2627, pruned_loss=0.06842, over 13469.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.0893, over 50.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3522, pruned_loss=0.1062, over 2780195.01 frames. utt_duration=245 frames, utt_pad_proportion=0.07183, over 45667.25 utterances.], batch size: 50, lr: 2.61e-04
+2022-09-18 13:07:34,455 INFO [train.py:885] (0/2) Epoch 18, batch 5700, loss[loss=0.3609, simple_loss=0.4499, pruned_loss=0.1359, over 13618.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07872, over 560.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3548, pruned_loss=0.1082, over 2782223.01 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07062, over 46283.37 utterances.], batch size: 560, lr: 2.61e-04
+2022-09-18 13:08:04,146 INFO [train.py:885] (0/2) Epoch 18, batch 5750, loss[loss=0.2173, simple_loss=0.2732, pruned_loss=0.08068, over 13879.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.05997, over 69.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3515, pruned_loss=0.1068, over 2773843.65 frames. utt_duration=246 frames, utt_pad_proportion=0.07177, over 45379.28 utterances.], batch size: 69, lr: 2.61e-04
+2022-09-18 13:08:33,748 INFO [train.py:885] (0/2) Epoch 18, batch 5800, loss[loss=0.3058, simple_loss=0.395, pruned_loss=0.1083, over 13795.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06961, over 411.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3549, pruned_loss=0.1083, over 2777351.50 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06997, over 46362.08 utterances.], batch size: 411, lr: 2.61e-04
+2022-09-18 13:09:03,077 INFO [train.py:885] (0/2) Epoch 18, batch 5850, loss[loss=0.2881, simple_loss=0.3545, pruned_loss=0.1109, over 14334.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03948, over 167.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.355, pruned_loss=0.1087, over 2777947.84 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06967, over 45797.25 utterances.], batch size: 167, lr: 2.61e-04
+2022-09-18 13:09:32,724 INFO [train.py:885] (0/2) Epoch 18, batch 5900, loss[loss=0.1778, simple_loss=0.2418, pruned_loss=0.05692, over 13569.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.083, over 50.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3513, pruned_loss=0.1068, over 2777634.70 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06924, over 44424.93 utterances.], batch size: 50, lr: 2.61e-04
+2022-09-18 13:10:02,191 INFO [train.py:885] (0/2) Epoch 18, batch 5950, loss[loss=0.1848, simple_loss=0.264, pruned_loss=0.05277, over 14151.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.05, over 89.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3499, pruned_loss=0.1063, over 2781178.86 frames. utt_duration=255.8 frames, utt_pad_proportion=0.0683, over 43741.02 utterances.], batch size: 89, lr: 2.61e-04
+2022-09-18 13:10:31,344 INFO [train.py:885] (0/2) Epoch 18, batch 6000, loss[loss=0.4018, simple_loss=0.4841, pruned_loss=0.1597, over 13154.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3526, pruned_loss=0.1075, over 2784811.60 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06794, over 44448.00 utterances.], batch size: 653, lr: 2.61e-04
+2022-09-18 13:10:31,346 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 13:10:35,535 INFO [train.py:914] (0/2) Epoch 18, validation: loss=0.1964, simple_loss=0.275, pruned_loss=0.05895, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 13:11:05,086 INFO [train.py:885] (0/2) Epoch 18, batch 6050, loss[loss=0.2871, simple_loss=0.3832, pruned_loss=0.09549, over 13771.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07168, over 411.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3569, pruned_loss=0.1102, over 2789134.04 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06907, over 45711.86 utterances.], batch size: 411, lr: 2.61e-04
+2022-09-18 13:11:35,000 INFO [train.py:885] (0/2) Epoch 18, batch 6100, loss[loss=0.3058, simple_loss=0.3649, pruned_loss=0.1234, over 14223.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04768, over 141.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3547, pruned_loss=0.1085, over 2779769.58 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07158, over 45668.95 utterances.], batch size: 141, lr: 2.61e-04
+2022-09-18 13:12:04,916 INFO [train.py:885] (0/2) Epoch 18, batch 6150, loss[loss=0.1922, simple_loss=0.2437, pruned_loss=0.07039, over 13677.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.07391, over 50.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.357, pruned_loss=0.1102, over 2781260.45 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07221, over 46104.55 utterances.], batch size: 50, lr: 2.60e-04
+2022-09-18 13:12:34,765 INFO [train.py:885] (0/2) Epoch 18, batch 6200, loss[loss=0.2963, simple_loss=0.391, pruned_loss=0.1008, over 13794.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07011, over 411.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3535, pruned_loss=0.1082, over 2779195.31 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07059, over 45135.04 utterances.], batch size: 411, lr: 2.60e-04
+2022-09-18 13:13:04,114 INFO [train.py:885] (0/2) Epoch 18, batch 6250, loss[loss=0.3396, simple_loss=0.4123, pruned_loss=0.1335, over 13975.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05772, over 365.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3524, pruned_loss=0.1072, over 2779964.68 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07068, over 45201.17 utterances.], batch size: 365, lr: 2.60e-04
+2022-09-18 13:13:34,061 INFO [train.py:885] (0/2) Epoch 18, batch 6300, loss[loss=0.2312, simple_loss=0.2924, pruned_loss=0.08503, over 14105.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05255, over 98.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3518, pruned_loss=0.107, over 2778348.51 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07139, over 44799.99 utterances.], batch size: 98, lr: 2.60e-04
+2022-09-18 13:14:03,655 INFO [train.py:885] (0/2) Epoch 18, batch 6350, loss[loss=0.2955, simple_loss=0.3643, pruned_loss=0.1134, over 14246.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04261, over 225.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3536, pruned_loss=0.1082, over 2776653.79 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07135, over 45831.22 utterances.], batch size: 225, lr: 2.60e-04
+2022-09-18 13:14:33,515 INFO [train.py:885] (0/2) Epoch 18, batch 6400, loss[loss=0.3115, simple_loss=0.3818, pruned_loss=0.1206, over 14302.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04037, over 262.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3535, pruned_loss=0.1077, over 2776299.68 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07132, over 45530.30 utterances.], batch size: 262, lr: 2.60e-04
+2022-09-18 13:15:02,959 INFO [train.py:885] (0/2) Epoch 18, batch 6450, loss[loss=0.2974, simple_loss=0.3622, pruned_loss=0.1163, over 14361.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03816, over 167.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3559, pruned_loss=0.1089, over 2776559.31 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07298, over 46544.77 utterances.], batch size: 167, lr: 2.60e-04
+2022-09-18 13:15:33,021 INFO [train.py:885] (0/2) Epoch 18, batch 6500, loss[loss=0.3502, simple_loss=0.4073, pruned_loss=0.1466, over 14246.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04236, over 225.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.357, pruned_loss=0.1098, over 2774848.66 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07516, over 47377.98 utterances.], batch size: 225, lr: 2.60e-04
+2022-09-18 13:16:01,920 INFO [train.py:885] (0/2) Epoch 18, batch 6550, loss[loss=0.2537, simple_loss=0.3326, pruned_loss=0.08738, over 14292.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04244, over 141.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.354, pruned_loss=0.1077, over 2776453.07 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07318, over 46242.52 utterances.], batch size: 141, lr: 2.60e-04
+2022-09-18 13:16:32,102 INFO [train.py:885] (0/2) Epoch 18, batch 6600, loss[loss=0.3219, simple_loss=0.4127, pruned_loss=0.1156, over 13664.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.0786, over 477.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3542, pruned_loss=0.1086, over 2774466.60 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07233, over 46185.13 utterances.], batch size: 477, lr: 2.60e-04
+2022-09-18 13:17:00,768 INFO [train.py:885] (0/2) Epoch 18, batch 6650, loss[loss=0.4572, simple_loss=0.516, pruned_loss=0.1991, over 13787.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07003, over 411.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3501, pruned_loss=0.1064, over 2778945.05 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07024, over 44286.84 utterances.], batch size: 411, lr: 2.60e-04
+2022-09-18 13:17:30,965 INFO [train.py:885] (0/2) Epoch 18, batch 6700, loss[loss=0.1557, simple_loss=0.2345, pruned_loss=0.03844, over 13435.00 frames. utt_duration=1630 frames, utt_pad_proportion=0.09201, over 33.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3546, pruned_loss=0.1082, over 2773054.07 frames. utt_duration=239.3 frames, utt_pad_proportion=0.0734, over 46648.71 utterances.], batch size: 33, lr: 2.60e-04
+2022-09-18 13:18:00,940 INFO [train.py:885] (0/2) Epoch 18, batch 6750, loss[loss=0.3298, simple_loss=0.3916, pruned_loss=0.134, over 14331.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0386, over 262.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3549, pruned_loss=0.1079, over 2772846.72 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07465, over 47241.20 utterances.], batch size: 262, lr: 2.60e-04
+2022-09-18 13:18:29,979 INFO [train.py:885] (0/2) Epoch 18, batch 6800, loss[loss=0.2015, simple_loss=0.2721, pruned_loss=0.06544, over 14072.00 frames. utt_duration=805.5 frames, utt_pad_proportion=0.06004, over 70.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3513, pruned_loss=0.1064, over 2774941.89 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07179, over 45166.12 utterances.], batch size: 70, lr: 2.60e-04
+2022-09-18 13:18:59,872 INFO [train.py:885] (0/2) Epoch 18, batch 6850, loss[loss=0.3549, simple_loss=0.4077, pruned_loss=0.151, over 14268.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04107, over 335.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3493, pruned_loss=0.1055, over 2775619.63 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07198, over 44754.34 utterances.], batch size: 335, lr: 2.60e-04
+2022-09-18 13:19:29,030 INFO [train.py:885] (0/2) Epoch 18, batch 6900, loss[loss=0.2073, simple_loss=0.2731, pruned_loss=0.07077, over 13884.00 frames. utt_duration=926.9 frames, utt_pad_proportion=0.06841, over 60.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3503, pruned_loss=0.1063, over 2777503.20 frames. utt_duration=251.6 frames, utt_pad_proportion=0.0717, over 44412.68 utterances.], batch size: 60, lr: 2.60e-04
+2022-09-18 13:19:58,945 INFO [train.py:885] (0/2) Epoch 18, batch 6950, loss[loss=0.311, simple_loss=0.4033, pruned_loss=0.1094, over 13752.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07263, over 411.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3521, pruned_loss=0.1072, over 2775167.06 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07288, over 45245.48 utterances.], batch size: 411, lr: 2.60e-04
+2022-09-18 13:20:28,200 INFO [train.py:885] (0/2) Epoch 18, batch 7000, loss[loss=0.3167, simple_loss=0.3835, pruned_loss=0.1249, over 14290.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03929, over 180.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3517, pruned_loss=0.1069, over 2779957.81 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07215, over 44806.01 utterances.], batch size: 180, lr: 2.60e-04
+2022-09-18 13:20:57,954 INFO [train.py:885] (0/2) Epoch 18, batch 7050, loss[loss=0.2095, simple_loss=0.2605, pruned_loss=0.07929, over 13098.00 frames. utt_duration=2017 frames, utt_pad_proportion=0.1174, over 26.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3508, pruned_loss=0.1062, over 2778706.88 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07313, over 44988.75 utterances.], batch size: 26, lr: 2.60e-04
+2022-09-18 13:21:27,381 INFO [train.py:885] (0/2) Epoch 18, batch 7100, loss[loss=0.1582, simple_loss=0.2308, pruned_loss=0.04284, over 13779.00 frames. utt_duration=1104 frames, utt_pad_proportion=0.07325, over 50.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3509, pruned_loss=0.1069, over 2779274.90 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07354, over 45139.97 utterances.], batch size: 50, lr: 2.60e-04
+2022-09-18 13:21:56,756 INFO [train.py:885] (0/2) Epoch 18, batch 7150, loss[loss=0.3083, simple_loss=0.3701, pruned_loss=0.1233, over 14318.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03923, over 130.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3502, pruned_loss=0.1055, over 2777896.01 frames. utt_duration=247 frames, utt_pad_proportion=0.07341, over 45248.26 utterances.], batch size: 130, lr: 2.60e-04
+2022-09-18 13:22:26,366 INFO [train.py:885] (0/2) Epoch 18, batch 7200, loss[loss=0.4835, simple_loss=0.568, pruned_loss=0.1995, over 12420.00 frames. utt_duration=62.83 frames, utt_pad_proportion=0.151, over 811.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3483, pruned_loss=0.1043, over 2781631.46 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07145, over 44804.19 utterances.], batch size: 811, lr: 2.60e-04
+2022-09-18 13:22:55,385 INFO [train.py:885] (0/2) Epoch 18, batch 7250, loss[loss=0.3028, simple_loss=0.3716, pruned_loss=0.117, over 14289.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04065, over 262.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3496, pruned_loss=0.1048, over 2781533.81 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07113, over 45390.00 utterances.], batch size: 262, lr: 2.60e-04
+2022-09-18 13:23:25,373 INFO [train.py:885] (0/2) Epoch 18, batch 7300, loss[loss=0.346, simple_loss=0.4048, pruned_loss=0.1437, over 14237.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04195, over 306.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3528, pruned_loss=0.107, over 2781477.24 frames. utt_duration=244 frames, utt_pad_proportion=0.07049, over 45868.77 utterances.], batch size: 306, lr: 2.60e-04
+2022-09-18 13:23:54,628 INFO [train.py:885] (0/2) Epoch 18, batch 7350, loss[loss=0.321, simple_loss=0.4217, pruned_loss=0.1102, over 13673.00 frames. utt_duration=99.04 frames, utt_pad_proportion=0.07435, over 560.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3544, pruned_loss=0.1078, over 2780551.54 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07037, over 46410.19 utterances.], batch size: 560, lr: 2.60e-04
+2022-09-18 13:24:23,934 INFO [train.py:885] (0/2) Epoch 18, batch 7400, loss[loss=0.3787, simple_loss=0.4228, pruned_loss=0.1673, over 14184.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.0452, over 306.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3543, pruned_loss=0.1081, over 2784725.25 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06868, over 45915.98 utterances.], batch size: 306, lr: 2.60e-04
+2022-09-18 13:24:53,303 INFO [train.py:885] (0/2) Epoch 18, batch 7450, loss[loss=0.337, simple_loss=0.4145, pruned_loss=0.1297, over 14023.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05469, over 365.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3505, pruned_loss=0.1065, over 2788031.66 frames. utt_duration=257 frames, utt_pad_proportion=0.06601, over 43634.52 utterances.], batch size: 365, lr: 2.60e-04
+2022-09-18 13:25:22,681 INFO [train.py:885] (0/2) Epoch 18, batch 7500, loss[loss=0.2191, simple_loss=0.269, pruned_loss=0.08458, over 13315.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.09172, over 41.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3502, pruned_loss=0.1064, over 2788024.58 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06596, over 43393.79 utterances.], batch size: 41, lr: 2.60e-04
+2022-09-18 13:25:52,543 INFO [train.py:885] (0/2) Epoch 18, batch 7550, loss[loss=0.1761, simple_loss=0.2515, pruned_loss=0.05031, over 14279.00 frames. utt_duration=643.2 frames, utt_pad_proportion=0.04149, over 89.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3514, pruned_loss=0.1064, over 2779592.23 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06984, over 45501.35 utterances.], batch size: 89, lr: 2.60e-04
+2022-09-18 13:26:22,154 INFO [train.py:885] (0/2) Epoch 18, batch 7600, loss[loss=0.2683, simple_loss=0.3537, pruned_loss=0.09149, over 14359.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03364, over 244.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.35, pruned_loss=0.1057, over 2777490.67 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07222, over 44918.79 utterances.], batch size: 244, lr: 2.60e-04
+2022-09-18 13:26:51,901 INFO [train.py:885] (0/2) Epoch 18, batch 7650, loss[loss=0.3118, simple_loss=0.3706, pruned_loss=0.1265, over 14311.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04011, over 154.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.351, pruned_loss=0.1069, over 2779263.91 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07096, over 44763.10 utterances.], batch size: 154, lr: 2.60e-04
+2022-09-18 13:27:21,369 INFO [train.py:885] (0/2) Epoch 18, batch 7700, loss[loss=0.5463, simple_loss=0.6208, pruned_loss=0.2359, over 12394.00 frames. utt_duration=62.87 frames, utt_pad_proportion=0.1505, over 810.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3504, pruned_loss=0.1067, over 2774322.13 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07327, over 45406.91 utterances.], batch size: 810, lr: 2.60e-04
+2022-09-18 13:27:50,334 INFO [train.py:885] (0/2) Epoch 18, batch 7750, loss[loss=0.3294, simple_loss=0.398, pruned_loss=0.1304, over 14211.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0439, over 306.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3535, pruned_loss=0.1079, over 2779360.83 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07269, over 46250.99 utterances.], batch size: 306, lr: 2.60e-04
+2022-09-18 13:28:20,933 INFO [train.py:885] (0/2) Epoch 18, batch 7800, loss[loss=0.3097, simple_loss=0.3867, pruned_loss=0.1164, over 14340.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03763, over 262.00 utterances.], tot_loss[loss=0.286, simple_loss=0.356, pruned_loss=0.108, over 2778157.05 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07365, over 48328.93 utterances.], batch size: 262, lr: 2.60e-04
+2022-09-18 13:28:49,863 INFO [train.py:885] (0/2) Epoch 18, batch 7850, loss[loss=0.1985, simple_loss=0.2619, pruned_loss=0.06755, over 14116.00 frames. utt_duration=716.2 frames, utt_pad_proportion=0.05259, over 79.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3554, pruned_loss=0.1081, over 2780639.04 frames. utt_duration=233 frames, utt_pad_proportion=0.07266, over 48034.89 utterances.], batch size: 79, lr: 2.59e-04
+2022-09-18 13:29:19,778 INFO [train.py:885] (0/2) Epoch 18, batch 7900, loss[loss=0.1889, simple_loss=0.2469, pruned_loss=0.06541, over 13366.00 frames. utt_duration=1622 frames, utt_pad_proportion=0.08892, over 33.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3551, pruned_loss=0.1077, over 2785603.26 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07048, over 47377.92 utterances.], batch size: 33, lr: 2.59e-04
+2022-09-18 13:29:49,072 INFO [train.py:885] (0/2) Epoch 18, batch 7950, loss[loss=0.2298, simple_loss=0.3041, pruned_loss=0.07774, over 14128.00 frames. utt_duration=519.9 frames, utt_pad_proportion=0.0478, over 109.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3567, pruned_loss=0.1087, over 2788467.74 frames. utt_duration=235 frames, utt_pad_proportion=0.06941, over 47757.19 utterances.], batch size: 109, lr: 2.59e-04
+2022-09-18 13:30:19,029 INFO [train.py:885] (0/2) Epoch 18, batch 8000, loss[loss=0.3901, simple_loss=0.441, pruned_loss=0.1697, over 14286.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04025, over 283.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3552, pruned_loss=0.1077, over 2788852.15 frames. utt_duration=238 frames, utt_pad_proportion=0.0708, over 47172.33 utterances.], batch size: 283, lr: 2.59e-04
+2022-09-18 13:30:48,480 INFO [train.py:885] (0/2) Epoch 18, batch 8050, loss[loss=0.3135, simple_loss=0.3856, pruned_loss=0.1207, over 14314.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0389, over 283.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3536, pruned_loss=0.1068, over 2787645.15 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0699, over 46331.78 utterances.], batch size: 283, lr: 2.59e-04
+2022-09-18 13:31:17,585 INFO [train.py:885] (0/2) Epoch 18, batch 8100, loss[loss=0.2195, simple_loss=0.2891, pruned_loss=0.07494, over 14159.00 frames. utt_duration=579.3 frames, utt_pad_proportion=0.05028, over 98.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3506, pruned_loss=0.1053, over 2787204.56 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06934, over 45118.73 utterances.], batch size: 98, lr: 2.59e-04
+2022-09-18 13:31:47,156 INFO [train.py:885] (0/2) Epoch 18, batch 8150, loss[loss=0.2183, simple_loss=0.2875, pruned_loss=0.07459, over 14033.00 frames. utt_duration=711.9 frames, utt_pad_proportion=0.05707, over 79.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3496, pruned_loss=0.1049, over 2789442.78 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06815, over 44921.18 utterances.], batch size: 79, lr: 2.59e-04
+2022-09-18 13:32:16,724 INFO [train.py:885] (0/2) Epoch 18, batch 8200, loss[loss=0.3846, simple_loss=0.4281, pruned_loss=0.1705, over 14207.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04458, over 335.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3534, pruned_loss=0.1067, over 2791202.83 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06943, over 45811.12 utterances.], batch size: 335, lr: 2.59e-04
+2022-09-18 13:32:46,492 INFO [train.py:885] (0/2) Epoch 18, batch 8250, loss[loss=0.3103, simple_loss=0.4054, pruned_loss=0.1076, over 13649.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08011, over 477.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3568, pruned_loss=0.1083, over 2789168.70 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07102, over 47452.01 utterances.], batch size: 477, lr: 2.59e-04
+2022-09-18 13:33:16,115 INFO [train.py:885] (0/2) Epoch 18, batch 8300, loss[loss=0.3061, simple_loss=0.3744, pruned_loss=0.1189, over 14331.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03511, over 244.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3609, pruned_loss=0.1112, over 2786778.12 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07172, over 48389.22 utterances.], batch size: 244, lr: 2.59e-04
+2022-09-18 13:33:45,500 INFO [train.py:885] (0/2) Epoch 18, batch 8350, loss[loss=0.2564, simple_loss=0.3166, pruned_loss=0.09811, over 14309.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.04122, over 120.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3591, pruned_loss=0.1104, over 2783277.09 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07235, over 47727.36 utterances.], batch size: 120, lr: 2.59e-04
+2022-09-18 13:34:15,038 INFO [train.py:885] (0/2) Epoch 18, batch 8400, loss[loss=0.2315, simple_loss=0.3199, pruned_loss=0.07157, over 14269.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04412, over 141.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3544, pruned_loss=0.1083, over 2782821.41 frames. utt_duration=244.7 frames, utt_pad_proportion=0.073, over 45771.27 utterances.], batch size: 141, lr: 2.59e-04
+2022-09-18 13:34:44,472 INFO [train.py:885] (0/2) Epoch 18, batch 8450, loss[loss=0.2123, simple_loss=0.2786, pruned_loss=0.07296, over 13925.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.0587, over 69.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3509, pruned_loss=0.1062, over 2780792.80 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07268, over 44909.90 utterances.], batch size: 69, lr: 2.59e-04
+2022-09-18 13:35:14,309 INFO [train.py:885] (0/2) Epoch 18, batch 8500, loss[loss=0.2765, simple_loss=0.3552, pruned_loss=0.09894, over 14351.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03788, over 244.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3545, pruned_loss=0.1086, over 2784355.86 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07267, over 45300.54 utterances.], batch size: 244, lr: 2.59e-04
+2022-09-18 13:35:43,741 INFO [train.py:885] (0/2) Epoch 18, batch 8550, loss[loss=0.2851, simple_loss=0.359, pruned_loss=0.1056, over 14262.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04048, over 180.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3527, pruned_loss=0.1074, over 2785836.26 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07042, over 44180.89 utterances.], batch size: 180, lr: 2.59e-04
+2022-09-18 13:36:13,072 INFO [train.py:885] (0/2) Epoch 18, batch 8600, loss[loss=0.2843, simple_loss=0.3633, pruned_loss=0.1026, over 14301.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03895, over 195.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3513, pruned_loss=0.1064, over 2783807.28 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07177, over 43934.91 utterances.], batch size: 195, lr: 2.59e-04
+2022-09-18 13:36:42,687 INFO [train.py:885] (0/2) Epoch 18, batch 8650, loss[loss=0.274, simple_loss=0.3334, pruned_loss=0.1073, over 14261.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04457, over 141.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3512, pruned_loss=0.1064, over 2782619.16 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07161, over 44339.08 utterances.], batch size: 141, lr: 2.59e-04
+2022-09-18 13:37:12,327 INFO [train.py:885] (0/2) Epoch 18, batch 8700, loss[loss=0.3561, simple_loss=0.4402, pruned_loss=0.136, over 13674.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07835, over 477.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3545, pruned_loss=0.108, over 2782915.46 frames. utt_duration=244 frames, utt_pad_proportion=0.07194, over 45890.95 utterances.], batch size: 477, lr: 2.59e-04
+2022-09-18 13:37:41,848 INFO [train.py:885] (0/2) Epoch 18, batch 8750, loss[loss=0.3279, simple_loss=0.3949, pruned_loss=0.1304, over 14335.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0383, over 262.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3536, pruned_loss=0.1066, over 2778231.58 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07396, over 46855.09 utterances.], batch size: 262, lr: 2.59e-04
+2022-09-18 13:38:11,428 INFO [train.py:885] (0/2) Epoch 18, batch 8800, loss[loss=0.2309, simple_loss=0.3082, pruned_loss=0.07685, over 14306.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03976, over 120.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3541, pruned_loss=0.1071, over 2777993.88 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07338, over 46443.54 utterances.], batch size: 120, lr: 2.59e-04
+2022-09-18 13:38:41,366 INFO [train.py:885] (0/2) Epoch 18, batch 8850, loss[loss=0.242, simple_loss=0.2831, pruned_loss=0.1005, over 13372.00 frames. utt_duration=1071 frames, utt_pad_proportion=0.09454, over 50.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3551, pruned_loss=0.1081, over 2775975.91 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07378, over 46529.37 utterances.], batch size: 50, lr: 2.59e-04
+2022-09-18 13:39:11,075 INFO [train.py:885] (0/2) Epoch 18, batch 8900, loss[loss=0.1721, simple_loss=0.2256, pruned_loss=0.0593, over 13321.00 frames. utt_duration=1568 frames, utt_pad_proportion=0.09442, over 34.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3515, pruned_loss=0.1059, over 2777425.03 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07318, over 45101.30 utterances.], batch size: 34, lr: 2.59e-04
+2022-09-18 13:39:40,555 INFO [train.py:885] (0/2) Epoch 18, batch 8950, loss[loss=0.3084, simple_loss=0.3734, pruned_loss=0.1217, over 14346.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.03829, over 154.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3533, pruned_loss=0.1074, over 2776889.97 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07261, over 45743.80 utterances.], batch size: 154, lr: 2.59e-04
+2022-09-18 13:40:09,865 INFO [train.py:885] (0/2) Epoch 18, batch 9000, loss[loss=0.2658, simple_loss=0.3486, pruned_loss=0.09149, over 14347.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03438, over 244.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3511, pruned_loss=0.1058, over 2779256.85 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07018, over 45198.47 utterances.], batch size: 244, lr: 2.59e-04
+2022-09-18 13:40:09,867 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 13:40:14,507 INFO [train.py:914] (0/2) Epoch 18, validation: loss=0.1941, simple_loss=0.2748, pruned_loss=0.05674, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 13:40:43,648 INFO [train.py:885] (0/2) Epoch 18, batch 9050, loss[loss=0.2068, simple_loss=0.2768, pruned_loss=0.06839, over 13453.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.0898, over 50.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3557, pruned_loss=0.1084, over 2780861.00 frames. utt_duration=240.3 frames, utt_pad_proportion=0.0715, over 46580.93 utterances.], batch size: 50, lr: 2.59e-04
+2022-09-18 13:41:13,591 INFO [train.py:885] (0/2) Epoch 18, batch 9100, loss[loss=0.3305, simple_loss=0.4197, pruned_loss=0.1206, over 13726.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07494, over 411.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3563, pruned_loss=0.1089, over 2780281.65 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07234, over 46314.98 utterances.], batch size: 411, lr: 2.59e-04
+2022-09-18 13:41:43,365 INFO [train.py:885] (0/2) Epoch 18, batch 9150, loss[loss=0.1729, simple_loss=0.2446, pruned_loss=0.05058, over 13551.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.09135, over 34.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3555, pruned_loss=0.1088, over 2780021.15 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07082, over 45617.13 utterances.], batch size: 34, lr: 2.59e-04
+2022-09-18 13:42:12,540 INFO [train.py:885] (0/2) Epoch 18, batch 9200, loss[loss=0.3318, simple_loss=0.4301, pruned_loss=0.1168, over 13569.00 frames. utt_duration=98.3 frames, utt_pad_proportion=0.08133, over 560.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.353, pruned_loss=0.1071, over 2785599.37 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06859, over 44517.40 utterances.], batch size: 560, lr: 2.59e-04
+2022-09-18 13:42:42,187 INFO [train.py:885] (0/2) Epoch 18, batch 9250, loss[loss=0.4113, simple_loss=0.4829, pruned_loss=0.1699, over 13688.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07903, over 478.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3542, pruned_loss=0.1077, over 2788685.74 frames. utt_duration=251 frames, utt_pad_proportion=0.06809, over 44710.13 utterances.], batch size: 478, lr: 2.59e-04
+2022-09-18 13:43:11,329 INFO [train.py:885] (0/2) Epoch 18, batch 9300, loss[loss=0.3531, simple_loss=0.4401, pruned_loss=0.1331, over 13653.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07975, over 477.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3541, pruned_loss=0.1073, over 2788723.94 frames. utt_duration=249 frames, utt_pad_proportion=0.06872, over 45070.44 utterances.], batch size: 477, lr: 2.59e-04
+2022-09-18 13:43:40,947 INFO [train.py:885] (0/2) Epoch 18, batch 9350, loss[loss=0.1939, simple_loss=0.2543, pruned_loss=0.06675, over 12426.00 frames. utt_duration=2072 frames, utt_pad_proportion=0.1387, over 24.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3543, pruned_loss=0.1074, over 2784701.04 frames. utt_duration=245 frames, utt_pad_proportion=0.06845, over 45736.34 utterances.], batch size: 24, lr: 2.59e-04
+2022-09-18 13:44:10,121 INFO [train.py:885] (0/2) Epoch 18, batch 9400, loss[loss=0.2901, simple_loss=0.3683, pruned_loss=0.106, over 14422.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03308, over 196.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.354, pruned_loss=0.1075, over 2787210.25 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06778, over 45312.08 utterances.], batch size: 196, lr: 2.59e-04
+2022-09-18 13:44:39,702 INFO [train.py:885] (0/2) Epoch 18, batch 9450, loss[loss=0.1906, simple_loss=0.2517, pruned_loss=0.06482, over 13830.00 frames. utt_duration=923.4 frames, utt_pad_proportion=0.07193, over 60.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3521, pruned_loss=0.1071, over 2781721.95 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06966, over 44738.81 utterances.], batch size: 60, lr: 2.59e-04
+2022-09-18 13:44:46,267 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-224000.pt
+2022-09-18 13:45:10,578 INFO [train.py:885] (0/2) Epoch 18, batch 9500, loss[loss=0.312, simple_loss=0.3806, pruned_loss=0.1218, over 14193.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.0456, over 306.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3544, pruned_loss=0.1081, over 2777149.03 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07199, over 46360.39 utterances.], batch size: 306, lr: 2.59e-04
+2022-09-18 13:45:41,906 INFO [train.py:885] (0/2) Epoch 18, batch 9550, loss[loss=0.2741, simple_loss=0.3443, pruned_loss=0.102, over 14323.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03723, over 180.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.353, pruned_loss=0.1072, over 2773078.41 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07276, over 45906.42 utterances.], batch size: 180, lr: 2.58e-04
+2022-09-18 13:46:11,151 INFO [train.py:885] (0/2) Epoch 18, batch 9600, loss[loss=0.6083, simple_loss=0.6567, pruned_loss=0.2799, over 12449.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1479, over 810.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3524, pruned_loss=0.1078, over 2770584.07 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07381, over 45087.16 utterances.], batch size: 810, lr: 2.58e-04
+2022-09-18 13:46:40,845 INFO [train.py:885] (0/2) Epoch 18, batch 9650, loss[loss=0.2098, simple_loss=0.2831, pruned_loss=0.06822, over 14324.00 frames. utt_duration=479 frames, utt_pad_proportion=0.04005, over 120.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3531, pruned_loss=0.1081, over 2766682.32 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07497, over 45617.85 utterances.], batch size: 120, lr: 2.58e-04
+2022-09-18 13:47:10,690 INFO [train.py:885] (0/2) Epoch 18, batch 9700, loss[loss=0.2477, simple_loss=0.3229, pruned_loss=0.08625, over 14297.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03834, over 130.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3513, pruned_loss=0.1071, over 2773167.24 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07253, over 44474.06 utterances.], batch size: 130, lr: 2.58e-04
+2022-09-18 13:47:40,185 INFO [train.py:885] (0/2) Epoch 18, batch 9750, loss[loss=0.2186, simple_loss=0.2861, pruned_loss=0.07557, over 13850.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06257, over 69.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3539, pruned_loss=0.1085, over 2775379.75 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07269, over 45316.05 utterances.], batch size: 69, lr: 2.58e-04
+2022-09-18 13:48:09,935 INFO [train.py:885] (0/2) Epoch 18, batch 9800, loss[loss=0.2385, simple_loss=0.319, pruned_loss=0.07903, over 14300.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03826, over 130.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3531, pruned_loss=0.1078, over 2775118.52 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07311, over 45186.82 utterances.], batch size: 130, lr: 2.58e-04
+2022-09-18 13:48:39,238 INFO [train.py:885] (0/2) Epoch 18, batch 9850, loss[loss=0.5769, simple_loss=0.6484, pruned_loss=0.2527, over 12445.00 frames. utt_duration=62.98 frames, utt_pad_proportion=0.149, over 811.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.352, pruned_loss=0.1068, over 2776829.30 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07322, over 45018.24 utterances.], batch size: 811, lr: 2.58e-04
+2022-09-18 13:49:08,906 INFO [train.py:885] (0/2) Epoch 18, batch 9900, loss[loss=0.2605, simple_loss=0.3363, pruned_loss=0.09235, over 14325.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03941, over 154.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3527, pruned_loss=0.108, over 2780512.96 frames. utt_duration=251.8 frames, utt_pad_proportion=0.0716, over 44428.14 utterances.], batch size: 154, lr: 2.58e-04
+2022-09-18 13:49:38,615 INFO [train.py:885] (0/2) Epoch 18, batch 9950, loss[loss=0.2882, simple_loss=0.3539, pruned_loss=0.1113, over 14299.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.0386, over 180.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3529, pruned_loss=0.1086, over 2781473.54 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07105, over 44103.74 utterances.], batch size: 180, lr: 2.58e-04
+2022-09-18 13:50:07,885 INFO [train.py:885] (0/2) Epoch 18, batch 10000, loss[loss=0.2299, simple_loss=0.311, pruned_loss=0.07437, over 14177.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04438, over 109.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3528, pruned_loss=0.1084, over 2783881.85 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07124, over 44016.32 utterances.], batch size: 109, lr: 2.58e-04
+2022-09-18 13:50:36,874 INFO [train.py:885] (0/2) Epoch 18, batch 10050, loss[loss=0.3426, simple_loss=0.4036, pruned_loss=0.1408, over 14384.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.0339, over 210.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3527, pruned_loss=0.1081, over 2789068.52 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06802, over 43629.44 utterances.], batch size: 210, lr: 2.58e-04
+2022-09-18 13:51:07,114 INFO [train.py:885] (0/2) Epoch 18, batch 10100, loss[loss=0.2491, simple_loss=0.3267, pruned_loss=0.08578, over 14314.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03739, over 154.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3589, pruned_loss=0.111, over 2786275.46 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07093, over 46284.95 utterances.], batch size: 154, lr: 2.58e-04
+2022-09-18 13:51:37,220 INFO [train.py:885] (0/2) Epoch 18, batch 10150, loss[loss=0.2584, simple_loss=0.3336, pruned_loss=0.09157, over 14309.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04038, over 154.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3572, pruned_loss=0.1099, over 2785092.12 frames. utt_duration=241.5 frames, utt_pad_proportion=0.06918, over 46407.47 utterances.], batch size: 154, lr: 2.58e-04
+2022-09-18 13:52:05,915 INFO [train.py:885] (0/2) Epoch 18, batch 10200, loss[loss=0.271, simple_loss=0.3437, pruned_loss=0.09914, over 14348.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03883, over 167.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3557, pruned_loss=0.1083, over 2785781.30 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06935, over 46262.32 utterances.], batch size: 167, lr: 2.58e-04
+2022-09-18 13:52:35,589 INFO [train.py:885] (0/2) Epoch 18, batch 10250, loss[loss=0.5684, simple_loss=0.6321, pruned_loss=0.2524, over 12468.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1472, over 810.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3559, pruned_loss=0.1082, over 2783954.86 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07121, over 46599.27 utterances.], batch size: 810, lr: 2.58e-04
+2022-09-18 13:53:05,261 INFO [train.py:885] (0/2) Epoch 18, batch 10300, loss[loss=0.2448, simple_loss=0.3092, pruned_loss=0.09019, over 14131.00 frames. utt_duration=578.5 frames, utt_pad_proportion=0.04699, over 98.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3569, pruned_loss=0.1093, over 2783281.72 frames. utt_duration=241 frames, utt_pad_proportion=0.0699, over 46471.89 utterances.], batch size: 98, lr: 2.58e-04
+2022-09-18 13:53:35,068 INFO [train.py:885] (0/2) Epoch 18, batch 10350, loss[loss=0.1616, simple_loss=0.2305, pruned_loss=0.04636, over 13361.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08879, over 41.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3543, pruned_loss=0.1078, over 2785777.10 frames. utt_duration=248 frames, utt_pad_proportion=0.06866, over 45192.61 utterances.], batch size: 41, lr: 2.58e-04
+2022-09-18 13:54:04,424 INFO [train.py:885] (0/2) Epoch 18, batch 10400, loss[loss=0.2183, simple_loss=0.3064, pruned_loss=0.06509, over 13333.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.09255, over 26.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.354, pruned_loss=0.1079, over 2784102.67 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06968, over 45108.95 utterances.], batch size: 26, lr: 2.58e-04
+2022-09-18 13:54:34,451 INFO [train.py:885] (0/2) Epoch 18, batch 10450, loss[loss=0.3125, simple_loss=0.3736, pruned_loss=0.1257, over 14332.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04023, over 167.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3531, pruned_loss=0.1077, over 2784186.57 frames. utt_duration=247.4 frames, utt_pad_proportion=0.0696, over 45277.63 utterances.], batch size: 167, lr: 2.58e-04
+2022-09-18 13:55:04,107 INFO [train.py:885] (0/2) Epoch 18, batch 10500, loss[loss=0.2999, simple_loss=0.353, pruned_loss=0.1234, over 14112.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05196, over 98.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.351, pruned_loss=0.1064, over 2779885.51 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07217, over 44509.67 utterances.], batch size: 98, lr: 2.58e-04
+2022-09-18 13:55:33,317 INFO [train.py:885] (0/2) Epoch 18, batch 10550, loss[loss=0.204, simple_loss=0.2743, pruned_loss=0.06687, over 13266.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.09331, over 41.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3531, pruned_loss=0.1068, over 2781820.17 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07014, over 45526.50 utterances.], batch size: 41, lr: 2.58e-04
+2022-09-18 13:56:03,897 INFO [train.py:885] (0/2) Epoch 18, batch 10600, loss[loss=0.2178, simple_loss=0.2895, pruned_loss=0.07304, over 14084.00 frames. utt_duration=714.5 frames, utt_pad_proportion=0.05495, over 79.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3583, pruned_loss=0.1098, over 2784487.47 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07101, over 47062.10 utterances.], batch size: 79, lr: 2.58e-04
+2022-09-18 13:56:33,230 INFO [train.py:885] (0/2) Epoch 18, batch 10650, loss[loss=0.3593, simple_loss=0.4114, pruned_loss=0.1536, over 14224.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04356, over 335.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3601, pruned_loss=0.1111, over 2783181.46 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07161, over 47191.75 utterances.], batch size: 335, lr: 2.58e-04
+2022-09-18 13:57:03,061 INFO [train.py:885] (0/2) Epoch 18, batch 10700, loss[loss=0.2841, simple_loss=0.3365, pruned_loss=0.1158, over 14100.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05403, over 98.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.358, pruned_loss=0.11, over 2780028.62 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07143, over 46682.36 utterances.], batch size: 98, lr: 2.58e-04
+2022-09-18 13:57:32,555 INFO [train.py:885] (0/2) Epoch 18, batch 10750, loss[loss=0.2687, simple_loss=0.3522, pruned_loss=0.09263, over 14385.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03163, over 244.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3597, pruned_loss=0.1106, over 2782259.09 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07085, over 47526.93 utterances.], batch size: 244, lr: 2.58e-04
+2022-09-18 13:58:02,531 INFO [train.py:885] (0/2) Epoch 18, batch 10800, loss[loss=0.2725, simple_loss=0.3581, pruned_loss=0.09347, over 14012.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05496, over 365.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3618, pruned_loss=0.1109, over 2780230.06 frames. utt_duration=225.7 frames, utt_pad_proportion=0.07287, over 49606.93 utterances.], batch size: 365, lr: 2.58e-04
+2022-09-18 13:58:31,873 INFO [train.py:885] (0/2) Epoch 18, batch 10850, loss[loss=0.3036, simple_loss=0.4014, pruned_loss=0.1028, over 13684.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07762, over 477.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3595, pruned_loss=0.1095, over 2779144.99 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07195, over 48500.11 utterances.], batch size: 477, lr: 2.58e-04
+2022-09-18 13:59:01,710 INFO [train.py:885] (0/2) Epoch 18, batch 10900, loss[loss=0.2701, simple_loss=0.3376, pruned_loss=0.1013, over 14247.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04131, over 141.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3576, pruned_loss=0.1096, over 2777785.02 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07132, over 47254.14 utterances.], batch size: 141, lr: 2.58e-04
+2022-09-18 13:59:30,839 INFO [train.py:885] (0/2) Epoch 18, batch 10950, loss[loss=0.3259, simple_loss=0.3741, pruned_loss=0.1389, over 14335.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03899, over 154.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3547, pruned_loss=0.1078, over 2782877.95 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06985, over 46193.27 utterances.], batch size: 154, lr: 2.58e-04
+2022-09-18 14:00:00,636 INFO [train.py:885] (0/2) Epoch 18, batch 11000, loss[loss=0.3589, simple_loss=0.4153, pruned_loss=0.1513, over 14300.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04045, over 262.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3518, pruned_loss=0.1064, over 2782337.14 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06842, over 44666.83 utterances.], batch size: 262, lr: 2.58e-04
+2022-09-18 14:00:29,541 INFO [train.py:885] (0/2) Epoch 18, batch 11050, loss[loss=0.35, simple_loss=0.4042, pruned_loss=0.1479, over 14351.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03627, over 210.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3479, pruned_loss=0.1047, over 2782683.04 frames. utt_duration=262.8 frames, utt_pad_proportion=0.06703, over 42593.35 utterances.], batch size: 210, lr: 2.58e-04
+2022-09-18 14:00:59,845 INFO [train.py:885] (0/2) Epoch 18, batch 11100, loss[loss=0.4847, simple_loss=0.5728, pruned_loss=0.1983, over 12610.00 frames. utt_duration=63.82 frames, utt_pad_proportion=0.1376, over 810.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3548, pruned_loss=0.1083, over 2776161.01 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07228, over 45911.34 utterances.], batch size: 810, lr: 2.58e-04
+2022-09-18 14:01:29,447 INFO [train.py:885] (0/2) Epoch 18, batch 11150, loss[loss=0.242, simple_loss=0.3105, pruned_loss=0.08675, over 14185.00 frames. utt_duration=580.5 frames, utt_pad_proportion=0.04681, over 98.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3556, pruned_loss=0.1082, over 2780833.74 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07039, over 45957.99 utterances.], batch size: 98, lr: 2.58e-04
+2022-09-18 14:01:59,863 INFO [train.py:885] (0/2) Epoch 18, batch 11200, loss[loss=0.3442, simple_loss=0.4092, pruned_loss=0.1396, over 14227.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04281, over 335.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3556, pruned_loss=0.1084, over 2787981.66 frames. utt_duration=248.1 frames, utt_pad_proportion=0.0684, over 45215.22 utterances.], batch size: 335, lr: 2.58e-04
+2022-09-18 14:02:28,856 INFO [train.py:885] (0/2) Epoch 18, batch 11250, loss[loss=0.3736, simple_loss=0.4247, pruned_loss=0.1612, over 14331.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03747, over 283.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3555, pruned_loss=0.1092, over 2793958.16 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06567, over 43926.12 utterances.], batch size: 283, lr: 2.58e-04
+2022-09-18 14:02:58,812 INFO [train.py:885] (0/2) Epoch 18, batch 11300, loss[loss=0.1973, simple_loss=0.2635, pruned_loss=0.0655, over 12299.00 frames. utt_duration=2051 frames, utt_pad_proportion=0.1659, over 24.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.356, pruned_loss=0.1093, over 2790360.28 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06671, over 44669.46 utterances.], batch size: 24, lr: 2.57e-04
+2022-09-18 14:03:28,366 INFO [train.py:885] (0/2) Epoch 18, batch 11350, loss[loss=0.3388, simple_loss=0.3972, pruned_loss=0.1401, over 14226.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04343, over 335.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3563, pruned_loss=0.11, over 2783908.35 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06852, over 45217.76 utterances.], batch size: 335, lr: 2.57e-04
+2022-09-18 14:03:58,137 INFO [train.py:885] (0/2) Epoch 18, batch 11400, loss[loss=0.2492, simple_loss=0.3149, pruned_loss=0.09171, over 14063.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05355, over 98.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3547, pruned_loss=0.1092, over 2787144.58 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06642, over 44366.28 utterances.], batch size: 98, lr: 2.57e-04
+2022-09-18 14:04:27,462 INFO [train.py:885] (0/2) Epoch 18, batch 11450, loss[loss=0.2574, simple_loss=0.3065, pruned_loss=0.1042, over 13992.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.06096, over 79.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3528, pruned_loss=0.1074, over 2787518.46 frames. utt_duration=254 frames, utt_pad_proportion=0.06601, over 44151.80 utterances.], batch size: 79, lr: 2.57e-04
+2022-09-18 14:04:56,839 INFO [train.py:885] (0/2) Epoch 18, batch 11500, loss[loss=0.4014, simple_loss=0.4726, pruned_loss=0.1651, over 13609.00 frames. utt_duration=98.69 frames, utt_pad_proportion=0.07767, over 560.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3521, pruned_loss=0.107, over 2786301.77 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06678, over 44515.79 utterances.], batch size: 560, lr: 2.57e-04
+2022-09-18 14:05:25,887 INFO [train.py:885] (0/2) Epoch 18, batch 11550, loss[loss=0.2401, simple_loss=0.303, pruned_loss=0.08859, over 14062.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05509, over 98.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3509, pruned_loss=0.1059, over 2781496.88 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06971, over 44658.49 utterances.], batch size: 98, lr: 2.57e-04
+2022-09-18 14:05:55,445 INFO [train.py:885] (0/2) Epoch 18, batch 11600, loss[loss=0.1958, simple_loss=0.2704, pruned_loss=0.06067, over 13894.00 frames. utt_duration=927.6 frames, utt_pad_proportion=0.06588, over 60.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3496, pruned_loss=0.1054, over 2779052.11 frames. utt_duration=253 frames, utt_pad_proportion=0.07047, over 44185.99 utterances.], batch size: 60, lr: 2.57e-04
+2022-09-18 14:06:25,145 INFO [train.py:885] (0/2) Epoch 18, batch 11650, loss[loss=0.184, simple_loss=0.267, pruned_loss=0.05051, over 12971.00 frames. utt_duration=1997 frames, utt_pad_proportion=0.1133, over 26.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3486, pruned_loss=0.105, over 2778865.38 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07059, over 43759.25 utterances.], batch size: 26, lr: 2.57e-04
+2022-09-18 14:06:54,571 INFO [train.py:885] (0/2) Epoch 18, batch 11700, loss[loss=0.3448, simple_loss=0.4334, pruned_loss=0.1281, over 13613.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.0781, over 560.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3515, pruned_loss=0.1067, over 2779096.21 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07027, over 44668.64 utterances.], batch size: 560, lr: 2.57e-04
+2022-09-18 14:07:23,847 INFO [train.py:885] (0/2) Epoch 18, batch 11750, loss[loss=0.2317, simple_loss=0.297, pruned_loss=0.08323, over 14110.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05196, over 98.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3505, pruned_loss=0.1058, over 2776422.87 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07223, over 44996.73 utterances.], batch size: 98, lr: 2.57e-04
+2022-09-18 14:07:53,157 INFO [train.py:885] (0/2) Epoch 18, batch 11800, loss[loss=0.189, simple_loss=0.2509, pruned_loss=0.06357, over 13247.00 frames. utt_duration=1607 frames, utt_pad_proportion=0.11, over 33.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3484, pruned_loss=0.1043, over 2774233.15 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07279, over 44592.47 utterances.], batch size: 33, lr: 2.57e-04
+2022-09-18 14:08:22,348 INFO [train.py:885] (0/2) Epoch 18, batch 11850, loss[loss=0.2938, simple_loss=0.3935, pruned_loss=0.09705, over 13762.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07263, over 411.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3507, pruned_loss=0.1056, over 2774338.14 frames. utt_duration=247 frames, utt_pad_proportion=0.07357, over 45197.61 utterances.], batch size: 411, lr: 2.57e-04
+2022-09-18 14:08:52,541 INFO [train.py:885] (0/2) Epoch 18, batch 11900, loss[loss=0.3482, simple_loss=0.4032, pruned_loss=0.1466, over 14339.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03712, over 195.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3561, pruned_loss=0.1088, over 2773387.88 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07622, over 47535.23 utterances.], batch size: 195, lr: 2.57e-04
+2022-09-18 14:09:30,054 INFO [train.py:885] (0/2) Epoch 18, batch 11950, loss[loss=0.1961, simple_loss=0.2735, pruned_loss=0.05939, over 13760.00 frames. utt_duration=918.9 frames, utt_pad_proportion=0.06616, over 60.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3534, pruned_loss=0.1075, over 2776655.52 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07447, over 46433.55 utterances.], batch size: 60, lr: 2.57e-04
+2022-09-18 14:09:59,894 INFO [train.py:885] (0/2) Epoch 18, batch 12000, loss[loss=0.3053, simple_loss=0.3642, pruned_loss=0.1232, over 14253.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04163, over 180.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.354, pruned_loss=0.1081, over 2777504.66 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07416, over 46121.22 utterances.], batch size: 180, lr: 2.57e-04
+2022-09-18 14:09:59,896 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 14:10:04,120 INFO [train.py:914] (0/2) Epoch 18, validation: loss=0.1988, simple_loss=0.2789, pruned_loss=0.05933, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 14:10:33,314 INFO [train.py:885] (0/2) Epoch 18, batch 12050, loss[loss=0.326, simple_loss=0.3934, pruned_loss=0.1293, over 14244.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04213, over 306.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3546, pruned_loss=0.108, over 2780860.02 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07214, over 46309.56 utterances.], batch size: 306, lr: 2.57e-04
+2022-09-18 14:11:03,100 INFO [train.py:885] (0/2) Epoch 18, batch 12100, loss[loss=0.2312, simple_loss=0.2968, pruned_loss=0.08279, over 14131.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.0475, over 109.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3532, pruned_loss=0.1075, over 2778697.56 frames. utt_duration=244 frames, utt_pad_proportion=0.07279, over 45837.88 utterances.], batch size: 109, lr: 2.57e-04
+2022-09-18 14:11:32,379 INFO [train.py:885] (0/2) Epoch 18, batch 12150, loss[loss=0.1773, simple_loss=0.2441, pruned_loss=0.05524, over 13937.00 frames. utt_duration=797.9 frames, utt_pad_proportion=0.06572, over 70.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3531, pruned_loss=0.1077, over 2775244.92 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07385, over 45735.92 utterances.], batch size: 70, lr: 2.57e-04
+2022-09-18 14:12:01,547 INFO [train.py:885] (0/2) Epoch 18, batch 12200, loss[loss=0.2777, simple_loss=0.3553, pruned_loss=0.1, over 14254.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04147, over 180.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3538, pruned_loss=0.1075, over 2778143.04 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07336, over 46038.60 utterances.], batch size: 180, lr: 2.57e-04
+2022-09-18 14:12:31,196 INFO [train.py:885] (0/2) Epoch 18, batch 12250, loss[loss=0.1792, simple_loss=0.2454, pruned_loss=0.05654, over 13583.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08631, over 50.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3555, pruned_loss=0.1082, over 2781302.99 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07115, over 46554.36 utterances.], batch size: 50, lr: 2.57e-04
+2022-09-18 14:13:01,333 INFO [train.py:885] (0/2) Epoch 18, batch 12300, loss[loss=0.3897, simple_loss=0.4773, pruned_loss=0.151, over 13146.00 frames. utt_duration=82.06 frames, utt_pad_proportion=0.108, over 653.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3607, pruned_loss=0.111, over 2780049.19 frames. utt_duration=230.8 frames, utt_pad_proportion=0.07376, over 48493.71 utterances.], batch size: 653, lr: 2.57e-04
+2022-09-18 14:13:31,236 INFO [train.py:885] (0/2) Epoch 18, batch 12350, loss[loss=0.304, simple_loss=0.3748, pruned_loss=0.1166, over 14343.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03744, over 283.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3613, pruned_loss=0.1111, over 2783385.26 frames. utt_duration=229.8 frames, utt_pad_proportion=0.07383, over 48760.32 utterances.], batch size: 283, lr: 2.57e-04
+2022-09-18 14:14:01,168 INFO [train.py:885] (0/2) Epoch 18, batch 12400, loss[loss=0.4967, simple_loss=0.5619, pruned_loss=0.2157, over 13236.00 frames. utt_duration=82.58 frames, utt_pad_proportion=0.1024, over 653.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3598, pruned_loss=0.1099, over 2787925.04 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07213, over 48112.77 utterances.], batch size: 653, lr: 2.57e-04
+2022-09-18 14:14:30,362 INFO [train.py:885] (0/2) Epoch 18, batch 12450, loss[loss=0.242, simple_loss=0.3292, pruned_loss=0.07739, over 14283.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04324, over 141.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3567, pruned_loss=0.1088, over 2787738.35 frames. utt_duration=245 frames, utt_pad_proportion=0.06985, over 45790.44 utterances.], batch size: 141, lr: 2.57e-04
+2022-09-18 14:14:59,411 INFO [train.py:885] (0/2) Epoch 18, batch 12500, loss[loss=0.3119, simple_loss=0.3607, pruned_loss=0.1316, over 14264.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04489, over 141.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3547, pruned_loss=0.1088, over 2783660.21 frames. utt_duration=251.5 frames, utt_pad_proportion=0.0696, over 44541.35 utterances.], batch size: 141, lr: 2.57e-04
+2022-09-18 14:15:28,875 INFO [train.py:885] (0/2) Epoch 18, batch 12550, loss[loss=0.282, simple_loss=0.3631, pruned_loss=0.1004, over 14359.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03567, over 210.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3528, pruned_loss=0.1078, over 2787132.60 frames. utt_duration=254 frames, utt_pad_proportion=0.0691, over 44142.02 utterances.], batch size: 210, lr: 2.57e-04
+2022-09-18 14:15:56,826 INFO [train.py:885] (0/2) Epoch 18, batch 12600, loss[loss=0.247, simple_loss=0.3194, pruned_loss=0.08734, over 14250.00 frames. utt_duration=440 frames, utt_pad_proportion=0.04348, over 130.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3546, pruned_loss=0.1092, over 2780596.17 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07179, over 45227.34 utterances.], batch size: 130, lr: 2.57e-04
+2022-09-18 14:16:07,866 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-18.pt
+2022-09-18 14:16:17,483 INFO [train.py:885] (0/2) Epoch 19, batch 0, loss[loss=0.3906, simple_loss=0.4541, pruned_loss=0.1636, over 13989.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05628, over 365.00 utterances.], tot_loss[loss=0.3906, simple_loss=0.4541, pruned_loss=0.1636, over 13989.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05628, over 365.00 utterances.], batch size: 365, lr: 2.50e-04
+2022-09-18 14:16:46,663 INFO [train.py:885] (0/2) Epoch 19, batch 50, loss[loss=0.3036, simple_loss=0.3711, pruned_loss=0.118, over 14313.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03919, over 283.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3539, pruned_loss=0.1074, over 626284.09 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07038, over 10731.67 utterances.], batch size: 283, lr: 2.50e-04
+2022-09-18 14:17:16,571 INFO [train.py:885] (0/2) Epoch 19, batch 100, loss[loss=0.2494, simple_loss=0.3298, pruned_loss=0.0845, over 14210.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04853, over 141.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3617, pruned_loss=0.1101, over 1101486.89 frames. utt_duration=222.8 frames, utt_pad_proportion=0.0777, over 19902.09 utterances.], batch size: 141, lr: 2.50e-04
+2022-09-18 14:17:45,984 INFO [train.py:885] (0/2) Epoch 19, batch 150, loss[loss=0.1753, simple_loss=0.2408, pruned_loss=0.05483, over 13988.00 frames. utt_duration=709.8 frames, utt_pad_proportion=0.05741, over 79.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3614, pruned_loss=0.1106, over 1467743.35 frames. utt_duration=226.9 frames, utt_pad_proportion=0.08055, over 26044.21 utterances.], batch size: 79, lr: 2.50e-04
+2022-09-18 14:18:15,841 INFO [train.py:885] (0/2) Epoch 19, batch 200, loss[loss=0.2219, simple_loss=0.2876, pruned_loss=0.07803, over 13972.00 frames. utt_duration=708.8 frames, utt_pad_proportion=0.06237, over 79.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3609, pruned_loss=0.1113, over 1762786.45 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07503, over 30361.42 utterances.], batch size: 79, lr: 2.50e-04
+2022-09-18 14:18:45,698 INFO [train.py:885] (0/2) Epoch 19, batch 250, loss[loss=0.4869, simple_loss=0.541, pruned_loss=0.2164, over 13132.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.363, pruned_loss=0.1122, over 1985760.17 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07686, over 35106.80 utterances.], batch size: 653, lr: 2.50e-04
+2022-09-18 14:19:14,600 INFO [train.py:885] (0/2) Epoch 19, batch 300, loss[loss=0.2923, simple_loss=0.364, pruned_loss=0.1103, over 14409.00 frames. utt_duration=237.7 frames, utt_pad_proportion=0.02969, over 244.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3567, pruned_loss=0.1097, over 2161771.40 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07371, over 36072.39 utterances.], batch size: 244, lr: 2.50e-04
+2022-09-18 14:19:44,801 INFO [train.py:885] (0/2) Epoch 19, batch 350, loss[loss=0.3809, simple_loss=0.4317, pruned_loss=0.1651, over 14300.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03944, over 283.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3554, pruned_loss=0.1095, over 2299282.74 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07151, over 37632.19 utterances.], batch size: 283, lr: 2.50e-04
+2022-09-18 14:20:14,284 INFO [train.py:885] (0/2) Epoch 19, batch 400, loss[loss=0.2002, simple_loss=0.2779, pruned_loss=0.06128, over 13826.00 frames. utt_duration=802.9 frames, utt_pad_proportion=0.06536, over 69.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3528, pruned_loss=0.109, over 2406523.32 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07103, over 38014.97 utterances.], batch size: 69, lr: 2.50e-04
+2022-09-18 14:20:44,128 INFO [train.py:885] (0/2) Epoch 19, batch 450, loss[loss=0.2986, simple_loss=0.3662, pruned_loss=0.1155, over 14271.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04086, over 180.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3554, pruned_loss=0.1097, over 2484663.17 frames. utt_duration=243 frames, utt_pad_proportion=0.07146, over 41154.56 utterances.], batch size: 180, lr: 2.50e-04
+2022-09-18 14:21:13,378 INFO [train.py:885] (0/2) Epoch 19, batch 500, loss[loss=0.2883, simple_loss=0.3639, pruned_loss=0.1063, over 14318.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03868, over 262.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3546, pruned_loss=0.1089, over 2553866.89 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06951, over 41486.25 utterances.], batch size: 262, lr: 2.50e-04
+2022-09-18 14:21:43,110 INFO [train.py:885] (0/2) Epoch 19, batch 550, loss[loss=0.3069, simple_loss=0.3773, pruned_loss=0.1183, over 14304.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.0401, over 262.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3577, pruned_loss=0.1108, over 2604337.33 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07187, over 43152.10 utterances.], batch size: 262, lr: 2.50e-04
+2022-09-18 14:22:12,533 INFO [train.py:885] (0/2) Epoch 19, batch 600, loss[loss=0.1729, simple_loss=0.2299, pruned_loss=0.05797, over 13861.00 frames. utt_duration=925.7 frames, utt_pad_proportion=0.06965, over 60.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3596, pruned_loss=0.1119, over 2644803.73 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07244, over 44972.53 utterances.], batch size: 60, lr: 2.50e-04
+2022-09-18 14:22:41,998 INFO [train.py:885] (0/2) Epoch 19, batch 650, loss[loss=0.2976, simple_loss=0.368, pruned_loss=0.1136, over 14328.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03747, over 195.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3559, pruned_loss=0.1096, over 2669091.38 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07324, over 44545.83 utterances.], batch size: 195, lr: 2.50e-04
+2022-09-18 14:23:18,777 INFO [train.py:885] (0/2) Epoch 19, batch 700, loss[loss=0.2708, simple_loss=0.3246, pruned_loss=0.1085, over 14145.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04695, over 109.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3529, pruned_loss=0.1081, over 2694431.69 frames. utt_duration=247 frames, utt_pad_proportion=0.07128, over 43895.52 utterances.], batch size: 109, lr: 2.50e-04
+2022-09-18 14:23:48,127 INFO [train.py:885] (0/2) Epoch 19, batch 750, loss[loss=0.3132, simple_loss=0.4001, pruned_loss=0.1132, over 13778.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07161, over 411.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3523, pruned_loss=0.1071, over 2716534.87 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06926, over 44216.99 utterances.], batch size: 411, lr: 2.50e-04
+2022-09-18 14:24:17,816 INFO [train.py:885] (0/2) Epoch 19, batch 800, loss[loss=0.3712, simple_loss=0.4638, pruned_loss=0.1393, over 13181.00 frames. utt_duration=82.3 frames, utt_pad_proportion=0.1054, over 653.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.354, pruned_loss=0.1077, over 2729440.98 frames. utt_duration=243 frames, utt_pad_proportion=0.07153, over 45208.23 utterances.], batch size: 653, lr: 2.50e-04
+2022-09-18 14:24:42,400 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-228000.pt
+2022-09-18 14:24:47,784 INFO [train.py:885] (0/2) Epoch 19, batch 850, loss[loss=0.2767, simple_loss=0.3508, pruned_loss=0.1014, over 14279.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04016, over 180.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3578, pruned_loss=0.1097, over 2739669.88 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07155, over 46640.22 utterances.], batch size: 180, lr: 2.50e-04
+2022-09-18 14:25:17,484 INFO [train.py:885] (0/2) Epoch 19, batch 900, loss[loss=0.3561, simple_loss=0.443, pruned_loss=0.1346, over 13658.00 frames. utt_duration=98.95 frames, utt_pad_proportion=0.07527, over 560.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3587, pruned_loss=0.11, over 2746328.83 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07222, over 47179.73 utterances.], batch size: 560, lr: 2.50e-04
+2022-09-18 14:25:47,040 INFO [train.py:885] (0/2) Epoch 19, batch 950, loss[loss=0.2776, simple_loss=0.3577, pruned_loss=0.09875, over 14276.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04157, over 262.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3597, pruned_loss=0.1105, over 2754321.51 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07212, over 47566.23 utterances.], batch size: 262, lr: 2.50e-04
+2022-09-18 14:26:17,112 INFO [train.py:885] (0/2) Epoch 19, batch 1000, loss[loss=0.3101, simple_loss=0.3829, pruned_loss=0.1186, over 14322.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03978, over 262.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3595, pruned_loss=0.1108, over 2759413.26 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07091, over 46757.93 utterances.], batch size: 262, lr: 2.50e-04
+2022-09-18 14:26:46,729 INFO [train.py:885] (0/2) Epoch 19, batch 1050, loss[loss=0.2646, simple_loss=0.3465, pruned_loss=0.09136, over 14341.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03859, over 154.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3609, pruned_loss=0.1118, over 2763707.18 frames. utt_duration=237 frames, utt_pad_proportion=0.07073, over 46944.96 utterances.], batch size: 154, lr: 2.50e-04
+2022-09-18 14:27:16,105 INFO [train.py:885] (0/2) Epoch 19, batch 1100, loss[loss=0.2347, simple_loss=0.2973, pruned_loss=0.08609, over 14055.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05416, over 98.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3585, pruned_loss=0.1112, over 2768860.51 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07173, over 45523.36 utterances.], batch size: 98, lr: 2.50e-04
+2022-09-18 14:27:45,708 INFO [train.py:885] (0/2) Epoch 19, batch 1150, loss[loss=0.3085, simple_loss=0.368, pruned_loss=0.1245, over 14272.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04043, over 180.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3587, pruned_loss=0.1106, over 2766274.08 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07385, over 46898.88 utterances.], batch size: 180, lr: 2.50e-04
+2022-09-18 14:28:15,478 INFO [train.py:885] (0/2) Epoch 19, batch 1200, loss[loss=0.2878, simple_loss=0.3442, pruned_loss=0.1157, over 14297.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.0385, over 130.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3604, pruned_loss=0.1102, over 2773644.63 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07285, over 47988.10 utterances.], batch size: 130, lr: 2.50e-04
+2022-09-18 14:28:44,689 INFO [train.py:885] (0/2) Epoch 19, batch 1250, loss[loss=0.2287, simple_loss=0.2972, pruned_loss=0.08012, over 14112.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05162, over 98.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3629, pruned_loss=0.1121, over 2776435.81 frames. utt_duration=229.5 frames, utt_pad_proportion=0.0725, over 48712.34 utterances.], batch size: 98, lr: 2.50e-04
+2022-09-18 14:29:14,909 INFO [train.py:885] (0/2) Epoch 19, batch 1300, loss[loss=0.2134, simple_loss=0.2897, pruned_loss=0.06851, over 14047.00 frames. utt_duration=574.9 frames, utt_pad_proportion=0.05754, over 98.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3591, pruned_loss=0.11, over 2772452.99 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07232, over 47873.56 utterances.], batch size: 98, lr: 2.50e-04
+2022-09-18 14:29:44,259 INFO [train.py:885] (0/2) Epoch 19, batch 1350, loss[loss=0.2337, simple_loss=0.2735, pruned_loss=0.09692, over 12655.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.1314, over 25.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3552, pruned_loss=0.1084, over 2770153.93 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07131, over 46614.18 utterances.], batch size: 25, lr: 2.50e-04
+2022-09-18 14:30:13,247 INFO [train.py:885] (0/2) Epoch 19, batch 1400, loss[loss=0.2976, simple_loss=0.4001, pruned_loss=0.09757, over 13657.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08161, over 478.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3543, pruned_loss=0.1076, over 2771229.86 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07133, over 46258.95 utterances.], batch size: 478, lr: 2.49e-04
+2022-09-18 14:30:42,954 INFO [train.py:885] (0/2) Epoch 19, batch 1450, loss[loss=0.2846, simple_loss=0.3413, pruned_loss=0.114, over 14108.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05204, over 98.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3538, pruned_loss=0.1079, over 2773085.56 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07198, over 46058.18 utterances.], batch size: 98, lr: 2.49e-04
+2022-09-18 14:31:12,886 INFO [train.py:885] (0/2) Epoch 19, batch 1500, loss[loss=0.2027, simple_loss=0.2608, pruned_loss=0.07225, over 13694.00 frames. utt_duration=914.4 frames, utt_pad_proportion=0.07826, over 60.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3585, pruned_loss=0.1101, over 2777865.79 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07129, over 47811.04 utterances.], batch size: 60, lr: 2.49e-04
+2022-09-18 14:31:42,379 INFO [train.py:885] (0/2) Epoch 19, batch 1550, loss[loss=0.2544, simple_loss=0.3231, pruned_loss=0.09279, over 14275.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03967, over 130.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3563, pruned_loss=0.1096, over 2772044.14 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07381, over 47568.05 utterances.], batch size: 130, lr: 2.49e-04
+2022-09-18 14:32:11,887 INFO [train.py:885] (0/2) Epoch 19, batch 1600, loss[loss=0.341, simple_loss=0.4009, pruned_loss=0.1406, over 14189.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04517, over 306.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3582, pruned_loss=0.1101, over 2778751.01 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07181, over 47732.72 utterances.], batch size: 306, lr: 2.49e-04
+2022-09-18 14:32:41,300 INFO [train.py:885] (0/2) Epoch 19, batch 1650, loss[loss=0.3655, simple_loss=0.4184, pruned_loss=0.1563, over 14284.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04062, over 335.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3583, pruned_loss=0.1106, over 2775115.07 frames. utt_duration=238.7 frames, utt_pad_proportion=0.0704, over 46787.51 utterances.], batch size: 335, lr: 2.49e-04
+2022-09-18 14:33:11,060 INFO [train.py:885] (0/2) Epoch 19, batch 1700, loss[loss=0.2622, simple_loss=0.333, pruned_loss=0.09571, over 14334.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03772, over 120.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3528, pruned_loss=0.1087, over 2778936.11 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06753, over 44043.40 utterances.], batch size: 120, lr: 2.49e-04
+2022-09-18 14:33:40,861 INFO [train.py:885] (0/2) Epoch 19, batch 1750, loss[loss=0.3104, simple_loss=0.4139, pruned_loss=0.1035, over 13624.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.07732, over 560.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3551, pruned_loss=0.1096, over 2774901.46 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07006, over 45368.85 utterances.], batch size: 560, lr: 2.49e-04
+2022-09-18 14:34:10,847 INFO [train.py:885] (0/2) Epoch 19, batch 1800, loss[loss=0.2804, simple_loss=0.3627, pruned_loss=0.09899, over 14278.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04062, over 225.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3565, pruned_loss=0.1102, over 2774893.66 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07014, over 46519.37 utterances.], batch size: 225, lr: 2.49e-04
+2022-09-18 14:34:40,228 INFO [train.py:885] (0/2) Epoch 19, batch 1850, loss[loss=0.2871, simple_loss=0.3591, pruned_loss=0.1076, over 14345.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03938, over 167.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3574, pruned_loss=0.1106, over 2779007.33 frames. utt_duration=240.9 frames, utt_pad_proportion=0.06977, over 46421.76 utterances.], batch size: 167, lr: 2.49e-04
+2022-09-18 14:35:09,628 INFO [train.py:885] (0/2) Epoch 19, batch 1900, loss[loss=0.2079, simple_loss=0.2808, pruned_loss=0.06752, over 14044.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05608, over 79.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3542, pruned_loss=0.1084, over 2777200.38 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07203, over 45461.46 utterances.], batch size: 79, lr: 2.49e-04
+2022-09-18 14:35:39,142 INFO [train.py:885] (0/2) Epoch 19, batch 1950, loss[loss=0.2071, simple_loss=0.2711, pruned_loss=0.07154, over 13407.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08438, over 41.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3563, pruned_loss=0.1097, over 2780903.87 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07134, over 45984.22 utterances.], batch size: 41, lr: 2.49e-04
+2022-09-18 14:36:15,390 INFO [train.py:885] (0/2) Epoch 19, batch 2000, loss[loss=0.3168, simple_loss=0.3773, pruned_loss=0.1281, over 14385.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.0337, over 210.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3571, pruned_loss=0.1095, over 2782215.57 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07133, over 46772.76 utterances.], batch size: 210, lr: 2.49e-04
+2022-09-18 14:36:44,912 INFO [train.py:885] (0/2) Epoch 19, batch 2050, loss[loss=0.1892, simple_loss=0.2717, pruned_loss=0.05342, over 14059.00 frames. utt_duration=713.4 frames, utt_pad_proportion=0.05634, over 79.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3539, pruned_loss=0.1087, over 2789028.14 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06867, over 44407.74 utterances.], batch size: 79, lr: 2.49e-04
+2022-09-18 14:37:15,673 INFO [train.py:885] (0/2) Epoch 19, batch 2100, loss[loss=0.192, simple_loss=0.256, pruned_loss=0.06403, over 13724.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.07871, over 42.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3549, pruned_loss=0.1089, over 2789761.39 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06923, over 44884.83 utterances.], batch size: 42, lr: 2.49e-04
+2022-09-18 14:37:44,867 INFO [train.py:885] (0/2) Epoch 19, batch 2150, loss[loss=0.197, simple_loss=0.2639, pruned_loss=0.06506, over 14075.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.05988, over 70.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.352, pruned_loss=0.1071, over 2788643.57 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06949, over 44268.63 utterances.], batch size: 70, lr: 2.49e-04
+2022-09-18 14:38:14,188 INFO [train.py:885] (0/2) Epoch 19, batch 2200, loss[loss=0.2696, simple_loss=0.3516, pruned_loss=0.09383, over 14233.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.04322, over 225.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3501, pruned_loss=0.106, over 2790507.35 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06793, over 43837.57 utterances.], batch size: 225, lr: 2.49e-04
+2022-09-18 14:38:43,877 INFO [train.py:885] (0/2) Epoch 19, batch 2250, loss[loss=0.2321, simple_loss=0.2979, pruned_loss=0.08314, over 14242.00 frames. utt_duration=641.6 frames, utt_pad_proportion=0.04386, over 89.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3525, pruned_loss=0.1066, over 2786304.10 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06993, over 45596.14 utterances.], batch size: 89, lr: 2.49e-04
+2022-09-18 14:39:12,615 INFO [train.py:885] (0/2) Epoch 19, batch 2300, loss[loss=0.1805, simple_loss=0.2608, pruned_loss=0.0501, over 14056.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05681, over 79.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3484, pruned_loss=0.1043, over 2783717.15 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06826, over 44187.06 utterances.], batch size: 79, lr: 2.49e-04
+2022-09-18 14:39:42,821 INFO [train.py:885] (0/2) Epoch 19, batch 2350, loss[loss=0.2243, simple_loss=0.3005, pruned_loss=0.07403, over 14151.00 frames. utt_duration=718.1 frames, utt_pad_proportion=0.05016, over 79.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3466, pruned_loss=0.1033, over 2782987.11 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06836, over 43154.44 utterances.], batch size: 79, lr: 2.49e-04
+2022-09-18 14:40:12,299 INFO [train.py:885] (0/2) Epoch 19, batch 2400, loss[loss=0.2818, simple_loss=0.3359, pruned_loss=0.1138, over 14222.00 frames. utt_duration=640.5 frames, utt_pad_proportion=0.04397, over 89.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3509, pruned_loss=0.1058, over 2787174.57 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06777, over 44188.20 utterances.], batch size: 89, lr: 2.49e-04
+2022-09-18 14:40:41,636 INFO [train.py:885] (0/2) Epoch 19, batch 2450, loss[loss=0.3725, simple_loss=0.4696, pruned_loss=0.1377, over 13114.00 frames. utt_duration=81.92 frames, utt_pad_proportion=0.1095, over 653.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3514, pruned_loss=0.1058, over 2785858.36 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07012, over 44595.24 utterances.], batch size: 653, lr: 2.49e-04
+2022-09-18 14:41:10,893 INFO [train.py:885] (0/2) Epoch 19, batch 2500, loss[loss=0.2914, simple_loss=0.3635, pruned_loss=0.1097, over 14292.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04025, over 283.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3498, pruned_loss=0.1051, over 2783509.25 frames. utt_duration=257.4 frames, utt_pad_proportion=0.07004, over 43512.47 utterances.], batch size: 283, lr: 2.49e-04
+2022-09-18 14:41:40,105 INFO [train.py:885] (0/2) Epoch 19, batch 2550, loss[loss=0.3352, simple_loss=0.3949, pruned_loss=0.1377, over 14223.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04332, over 306.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3508, pruned_loss=0.106, over 2786204.52 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06923, over 44056.92 utterances.], batch size: 306, lr: 2.49e-04
+2022-09-18 14:42:09,796 INFO [train.py:885] (0/2) Epoch 19, batch 2600, loss[loss=0.3418, simple_loss=0.4156, pruned_loss=0.134, over 13759.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07274, over 411.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.354, pruned_loss=0.1076, over 2778065.54 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07211, over 45887.95 utterances.], batch size: 411, lr: 2.49e-04
+2022-09-18 14:42:39,602 INFO [train.py:885] (0/2) Epoch 19, batch 2650, loss[loss=0.3408, simple_loss=0.4295, pruned_loss=0.1261, over 13690.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07675, over 477.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3552, pruned_loss=0.1081, over 2782044.99 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07082, over 46445.54 utterances.], batch size: 477, lr: 2.49e-04
+2022-09-18 14:43:09,078 INFO [train.py:885] (0/2) Epoch 19, batch 2700, loss[loss=0.2875, simple_loss=0.3624, pruned_loss=0.1063, over 14272.00 frames. utt_duration=219.3 frames, utt_pad_proportion=0.04215, over 262.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3534, pruned_loss=0.1069, over 2781234.70 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0704, over 45610.99 utterances.], batch size: 262, lr: 2.49e-04
+2022-09-18 14:43:38,399 INFO [train.py:885] (0/2) Epoch 19, batch 2750, loss[loss=0.1916, simple_loss=0.2672, pruned_loss=0.05803, over 13869.00 frames. utt_duration=794.3 frames, utt_pad_proportion=0.07321, over 70.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3514, pruned_loss=0.1071, over 2783941.67 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06989, over 44148.84 utterances.], batch size: 70, lr: 2.49e-04
+2022-09-18 14:44:07,897 INFO [train.py:885] (0/2) Epoch 19, batch 2800, loss[loss=0.2655, simple_loss=0.3505, pruned_loss=0.09023, over 14391.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03143, over 244.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3533, pruned_loss=0.1076, over 2781005.27 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07176, over 46032.97 utterances.], batch size: 244, lr: 2.49e-04
+2022-09-18 14:44:37,637 INFO [train.py:885] (0/2) Epoch 19, batch 2850, loss[loss=0.2623, simple_loss=0.3447, pruned_loss=0.08996, over 14338.00 frames. utt_duration=320.1 frames, utt_pad_proportion=0.03576, over 180.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3532, pruned_loss=0.1074, over 2780998.19 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07185, over 45911.15 utterances.], batch size: 180, lr: 2.49e-04
+2022-09-18 14:45:07,119 INFO [train.py:885] (0/2) Epoch 19, batch 2900, loss[loss=0.3643, simple_loss=0.4102, pruned_loss=0.1592, over 14335.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03792, over 262.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3498, pruned_loss=0.1059, over 2776973.91 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07173, over 45336.57 utterances.], batch size: 262, lr: 2.49e-04
+2022-09-18 14:45:36,770 INFO [train.py:885] (0/2) Epoch 19, batch 2950, loss[loss=0.3061, simple_loss=0.3674, pruned_loss=0.1224, over 14298.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.04203, over 167.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3505, pruned_loss=0.1062, over 2773186.94 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07315, over 45765.45 utterances.], batch size: 167, lr: 2.49e-04
+2022-09-18 14:46:06,112 INFO [train.py:885] (0/2) Epoch 19, batch 3000, loss[loss=0.143, simple_loss=0.2072, pruned_loss=0.03937, over 13081.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1129, over 33.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3507, pruned_loss=0.1057, over 2776226.72 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07206, over 45930.97 utterances.], batch size: 33, lr: 2.49e-04
+2022-09-18 14:46:06,114 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 14:46:10,302 INFO [train.py:914] (0/2) Epoch 19, validation: loss=0.1982, simple_loss=0.2761, pruned_loss=0.06017, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 14:46:39,499 INFO [train.py:885] (0/2) Epoch 19, batch 3050, loss[loss=0.276, simple_loss=0.353, pruned_loss=0.09953, over 14350.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03583, over 195.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3525, pruned_loss=0.1074, over 2779174.79 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07167, over 45777.66 utterances.], batch size: 195, lr: 2.49e-04
+2022-09-18 14:47:09,232 INFO [train.py:885] (0/2) Epoch 19, batch 3100, loss[loss=0.2417, simple_loss=0.3078, pruned_loss=0.08783, over 14075.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05589, over 98.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3518, pruned_loss=0.1068, over 2781310.15 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07082, over 45146.54 utterances.], batch size: 98, lr: 2.49e-04
+2022-09-18 14:47:38,700 INFO [train.py:885] (0/2) Epoch 19, batch 3150, loss[loss=0.1874, simple_loss=0.2527, pruned_loss=0.06101, over 14087.00 frames. utt_duration=806.2 frames, utt_pad_proportion=0.05933, over 70.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.352, pruned_loss=0.1071, over 2779757.67 frames. utt_duration=246 frames, utt_pad_proportion=0.07337, over 45468.27 utterances.], batch size: 70, lr: 2.49e-04
+2022-09-18 14:48:08,381 INFO [train.py:885] (0/2) Epoch 19, batch 3200, loss[loss=0.1783, simple_loss=0.2582, pruned_loss=0.04919, over 13948.00 frames. utt_duration=798.4 frames, utt_pad_proportion=0.06841, over 70.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3535, pruned_loss=0.1078, over 2777905.57 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07256, over 46236.80 utterances.], batch size: 70, lr: 2.49e-04
+2022-09-18 14:48:37,490 INFO [train.py:885] (0/2) Epoch 19, batch 3250, loss[loss=0.1983, simple_loss=0.267, pruned_loss=0.06482, over 13912.00 frames. utt_duration=706 frames, utt_pad_proportion=0.06122, over 79.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3536, pruned_loss=0.1076, over 2782842.18 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07068, over 45638.24 utterances.], batch size: 79, lr: 2.48e-04
+2022-09-18 14:49:07,118 INFO [train.py:885] (0/2) Epoch 19, batch 3300, loss[loss=0.3476, simple_loss=0.4012, pruned_loss=0.147, over 14321.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03843, over 262.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3547, pruned_loss=0.1074, over 2783311.53 frames. utt_duration=241 frames, utt_pad_proportion=0.0701, over 46485.57 utterances.], batch size: 262, lr: 2.48e-04
+2022-09-18 14:49:36,227 INFO [train.py:885] (0/2) Epoch 19, batch 3350, loss[loss=0.208, simple_loss=0.2738, pruned_loss=0.07103, over 14244.00 frames. utt_duration=641.7 frames, utt_pad_proportion=0.04369, over 89.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3544, pruned_loss=0.1076, over 2785642.32 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06937, over 46043.89 utterances.], batch size: 89, lr: 2.48e-04
+2022-09-18 14:50:05,542 INFO [train.py:885] (0/2) Epoch 19, batch 3400, loss[loss=0.2722, simple_loss=0.3249, pruned_loss=0.1098, over 14200.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04667, over 89.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3521, pruned_loss=0.1066, over 2786726.77 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06957, over 45064.00 utterances.], batch size: 89, lr: 2.48e-04
+2022-09-18 14:50:35,107 INFO [train.py:885] (0/2) Epoch 19, batch 3450, loss[loss=0.3088, simple_loss=0.3806, pruned_loss=0.1185, over 14282.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.04003, over 225.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3606, pruned_loss=0.1108, over 2785876.16 frames. utt_duration=230.3 frames, utt_pad_proportion=0.07243, over 48696.93 utterances.], batch size: 225, lr: 2.48e-04
+2022-09-18 14:51:05,154 INFO [train.py:885] (0/2) Epoch 19, batch 3500, loss[loss=0.3408, simple_loss=0.3989, pruned_loss=0.1413, over 14340.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.0371, over 195.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3556, pruned_loss=0.1083, over 2784657.42 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07145, over 46712.02 utterances.], batch size: 195, lr: 2.48e-04
+2022-09-18 14:51:34,301 INFO [train.py:885] (0/2) Epoch 19, batch 3550, loss[loss=0.3175, simple_loss=0.3891, pruned_loss=0.1229, over 14366.00 frames. utt_duration=204.4 frames, utt_pad_proportion=0.03574, over 283.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3543, pruned_loss=0.1082, over 2784350.80 frames. utt_duration=245.2 frames, utt_pad_proportion=0.0706, over 45707.29 utterances.], batch size: 283, lr: 2.48e-04
+2022-09-18 14:52:03,912 INFO [train.py:885] (0/2) Epoch 19, batch 3600, loss[loss=0.2187, simple_loss=0.2787, pruned_loss=0.07931, over 13019.00 frames. utt_duration=2004 frames, utt_pad_proportion=0.1139, over 26.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3572, pruned_loss=0.1104, over 2783188.80 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07146, over 46850.92 utterances.], batch size: 26, lr: 2.48e-04
+2022-09-18 14:52:33,605 INFO [train.py:885] (0/2) Epoch 19, batch 3650, loss[loss=0.3106, simple_loss=0.3828, pruned_loss=0.1192, over 14336.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03679, over 210.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3584, pruned_loss=0.1105, over 2786643.18 frames. utt_duration=239.1 frames, utt_pad_proportion=0.06972, over 46913.64 utterances.], batch size: 210, lr: 2.48e-04
+2022-09-18 14:53:11,149 INFO [train.py:885] (0/2) Epoch 19, batch 3700, loss[loss=0.3089, simple_loss=0.413, pruned_loss=0.1024, over 13613.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07795, over 560.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3569, pruned_loss=0.1094, over 2786657.44 frames. utt_duration=238.7 frames, utt_pad_proportion=0.06875, over 46986.47 utterances.], batch size: 560, lr: 2.48e-04
+2022-09-18 14:53:40,158 INFO [train.py:885] (0/2) Epoch 19, batch 3750, loss[loss=0.4571, simple_loss=0.5222, pruned_loss=0.196, over 13147.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3548, pruned_loss=0.1079, over 2782808.96 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07155, over 46401.30 utterances.], batch size: 653, lr: 2.48e-04
+2022-09-18 14:54:09,812 INFO [train.py:885] (0/2) Epoch 19, batch 3800, loss[loss=0.2798, simple_loss=0.348, pruned_loss=0.1058, over 14335.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03956, over 167.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3565, pruned_loss=0.1084, over 2783371.07 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07139, over 46716.73 utterances.], batch size: 167, lr: 2.48e-04
+2022-09-18 14:54:39,404 INFO [train.py:885] (0/2) Epoch 19, batch 3850, loss[loss=0.3141, simple_loss=0.38, pruned_loss=0.1241, over 14358.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03525, over 210.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.354, pruned_loss=0.1071, over 2781456.67 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07099, over 45827.91 utterances.], batch size: 210, lr: 2.48e-04
+2022-09-18 14:55:09,132 INFO [train.py:885] (0/2) Epoch 19, batch 3900, loss[loss=0.1904, simple_loss=0.2645, pruned_loss=0.0582, over 14184.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04761, over 89.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3547, pruned_loss=0.1071, over 2781125.61 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07235, over 46315.75 utterances.], batch size: 89, lr: 2.48e-04
+2022-09-18 14:55:38,890 INFO [train.py:885] (0/2) Epoch 19, batch 3950, loss[loss=0.3694, simple_loss=0.4111, pruned_loss=0.1638, over 14200.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04467, over 306.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3535, pruned_loss=0.107, over 2783786.11 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07048, over 45802.97 utterances.], batch size: 306, lr: 2.48e-04
+2022-09-18 14:56:07,877 INFO [train.py:885] (0/2) Epoch 19, batch 4000, loss[loss=0.3147, simple_loss=0.3779, pruned_loss=0.1257, over 14382.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.0352, over 244.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3545, pruned_loss=0.1073, over 2783801.75 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07144, over 46393.23 utterances.], batch size: 244, lr: 2.48e-04
+2022-09-18 14:56:37,458 INFO [train.py:885] (0/2) Epoch 19, batch 4050, loss[loss=0.195, simple_loss=0.2649, pruned_loss=0.06248, over 14054.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05726, over 79.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3542, pruned_loss=0.1074, over 2783336.72 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07155, over 46429.59 utterances.], batch size: 79, lr: 2.48e-04
+2022-09-18 14:57:07,009 INFO [train.py:885] (0/2) Epoch 19, batch 4100, loss[loss=0.3088, simple_loss=0.39, pruned_loss=0.1138, over 13990.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05626, over 365.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3533, pruned_loss=0.1061, over 2781739.16 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07123, over 46700.21 utterances.], batch size: 365, lr: 2.48e-04
+2022-09-18 14:57:36,524 INFO [train.py:885] (0/2) Epoch 19, batch 4150, loss[loss=0.308, simple_loss=0.3921, pruned_loss=0.112, over 14002.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05536, over 365.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3527, pruned_loss=0.1065, over 2780738.25 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07211, over 45850.57 utterances.], batch size: 365, lr: 2.48e-04
+2022-09-18 14:58:06,236 INFO [train.py:885] (0/2) Epoch 19, batch 4200, loss[loss=0.299, simple_loss=0.3756, pruned_loss=0.1112, over 14317.00 frames. utt_duration=256 frames, utt_pad_proportion=0.03769, over 225.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3541, pruned_loss=0.1069, over 2777686.08 frames. utt_duration=239 frames, utt_pad_proportion=0.07209, over 46781.94 utterances.], batch size: 225, lr: 2.48e-04
+2022-09-18 14:58:35,944 INFO [train.py:885] (0/2) Epoch 19, batch 4250, loss[loss=0.3211, simple_loss=0.4125, pruned_loss=0.1148, over 13660.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07933, over 477.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3541, pruned_loss=0.1069, over 2778520.53 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07246, over 46701.58 utterances.], batch size: 477, lr: 2.48e-04
+2022-09-18 14:59:04,886 INFO [train.py:885] (0/2) Epoch 19, batch 4300, loss[loss=0.3252, simple_loss=0.4066, pruned_loss=0.1219, over 13938.00 frames. utt_duration=154.1 frames, utt_pad_proportion=0.06011, over 365.00 utterances.], tot_loss[loss=0.283, simple_loss=0.353, pruned_loss=0.1065, over 2773477.04 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07477, over 46831.73 utterances.], batch size: 365, lr: 2.48e-04
+2022-09-18 14:59:34,228 INFO [train.py:885] (0/2) Epoch 19, batch 4350, loss[loss=0.2636, simple_loss=0.3264, pruned_loss=0.1003, over 14295.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03876, over 130.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3528, pruned_loss=0.1067, over 2776025.12 frames. utt_duration=240 frames, utt_pad_proportion=0.0737, over 46561.30 utterances.], batch size: 130, lr: 2.48e-04
+2022-09-18 15:00:03,308 INFO [train.py:885] (0/2) Epoch 19, batch 4400, loss[loss=0.3864, simple_loss=0.4301, pruned_loss=0.1714, over 14256.00 frames. utt_duration=219.1 frames, utt_pad_proportion=0.04327, over 262.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3565, pruned_loss=0.1096, over 2779669.92 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07284, over 46886.11 utterances.], batch size: 262, lr: 2.48e-04
+2022-09-18 15:00:32,992 INFO [train.py:885] (0/2) Epoch 19, batch 4450, loss[loss=0.322, simple_loss=0.3901, pruned_loss=0.1269, over 14204.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0446, over 306.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3537, pruned_loss=0.1081, over 2780875.15 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06994, over 45394.76 utterances.], batch size: 306, lr: 2.48e-04
+2022-09-18 15:01:02,172 INFO [train.py:885] (0/2) Epoch 19, batch 4500, loss[loss=0.3813, simple_loss=0.4132, pruned_loss=0.1747, over 14209.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0442, over 306.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3536, pruned_loss=0.1074, over 2782465.28 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06964, over 45745.28 utterances.], batch size: 306, lr: 2.48e-04
+2022-09-18 15:01:32,073 INFO [train.py:885] (0/2) Epoch 19, batch 4550, loss[loss=0.2986, simple_loss=0.3725, pruned_loss=0.1123, over 14339.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03749, over 283.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3556, pruned_loss=0.1085, over 2786866.39 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06809, over 46406.87 utterances.], batch size: 283, lr: 2.48e-04
+2022-09-18 15:02:01,478 INFO [train.py:885] (0/2) Epoch 19, batch 4600, loss[loss=0.2641, simple_loss=0.3326, pruned_loss=0.09777, over 14364.00 frames. utt_duration=374.7 frames, utt_pad_proportion=0.03676, over 154.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3506, pruned_loss=0.1057, over 2781015.15 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07021, over 44805.26 utterances.], batch size: 154, lr: 2.48e-04
+2022-09-18 15:02:31,050 INFO [train.py:885] (0/2) Epoch 19, batch 4650, loss[loss=0.3896, simple_loss=0.4281, pruned_loss=0.1756, over 14219.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04361, over 335.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3476, pruned_loss=0.1044, over 2779980.36 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07029, over 44051.66 utterances.], batch size: 335, lr: 2.48e-04
+2022-09-18 15:03:00,449 INFO [train.py:885] (0/2) Epoch 19, batch 4700, loss[loss=0.2312, simple_loss=0.2903, pruned_loss=0.08606, over 14199.00 frames. utt_duration=639.6 frames, utt_pad_proportion=0.04392, over 89.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3447, pruned_loss=0.1034, over 2777193.25 frames. utt_duration=265.2 frames, utt_pad_proportion=0.07082, over 42115.67 utterances.], batch size: 89, lr: 2.48e-04
+2022-09-18 15:03:29,551 INFO [train.py:885] (0/2) Epoch 19, batch 4750, loss[loss=0.3676, simple_loss=0.4227, pruned_loss=0.1563, over 14295.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03923, over 225.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3486, pruned_loss=0.1053, over 2775917.89 frames. utt_duration=257.2 frames, utt_pad_proportion=0.07119, over 43421.11 utterances.], batch size: 225, lr: 2.48e-04
+2022-09-18 15:03:59,382 INFO [train.py:885] (0/2) Epoch 19, batch 4800, loss[loss=0.3112, simple_loss=0.3716, pruned_loss=0.1254, over 14324.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04063, over 167.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3511, pruned_loss=0.1068, over 2778882.09 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07109, over 44273.16 utterances.], batch size: 167, lr: 2.48e-04
+2022-09-18 15:04:23,866 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-232000.pt
+2022-09-18 15:04:29,937 INFO [train.py:885] (0/2) Epoch 19, batch 4850, loss[loss=0.265, simple_loss=0.3441, pruned_loss=0.09297, over 14328.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04057, over 167.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3525, pruned_loss=0.1068, over 2778904.12 frames. utt_duration=245.9 frames, utt_pad_proportion=0.0719, over 45480.84 utterances.], batch size: 167, lr: 2.48e-04
+2022-09-18 15:04:59,197 INFO [train.py:885] (0/2) Epoch 19, batch 4900, loss[loss=0.2109, simple_loss=0.2739, pruned_loss=0.07391, over 13941.00 frames. utt_duration=798.2 frames, utt_pad_proportion=0.06091, over 70.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3526, pruned_loss=0.1073, over 2778214.67 frames. utt_duration=248 frames, utt_pad_proportion=0.07269, over 45086.38 utterances.], batch size: 70, lr: 2.48e-04
+2022-09-18 15:05:29,332 INFO [train.py:885] (0/2) Epoch 19, batch 4950, loss[loss=0.3389, simple_loss=0.4138, pruned_loss=0.132, over 14022.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05438, over 365.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3583, pruned_loss=0.1093, over 2773537.18 frames. utt_duration=230 frames, utt_pad_proportion=0.07535, over 48547.93 utterances.], batch size: 365, lr: 2.48e-04
+2022-09-18 15:05:59,389 INFO [train.py:885] (0/2) Epoch 19, batch 5000, loss[loss=0.1952, simple_loss=0.2756, pruned_loss=0.05743, over 14255.00 frames. utt_duration=642.4 frames, utt_pad_proportion=0.04268, over 89.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3537, pruned_loss=0.1068, over 2775124.93 frames. utt_duration=239 frames, utt_pad_proportion=0.07418, over 46737.29 utterances.], batch size: 89, lr: 2.48e-04
+2022-09-18 15:06:28,825 INFO [train.py:885] (0/2) Epoch 19, batch 5050, loss[loss=0.2187, simple_loss=0.2654, pruned_loss=0.08599, over 13793.00 frames. utt_duration=800.9 frames, utt_pad_proportion=0.06655, over 69.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.352, pruned_loss=0.1054, over 2779904.48 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07165, over 45648.04 utterances.], batch size: 69, lr: 2.48e-04
+2022-09-18 15:06:58,125 INFO [train.py:885] (0/2) Epoch 19, batch 5100, loss[loss=0.3216, simple_loss=0.3943, pruned_loss=0.1245, over 14334.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.0376, over 262.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3514, pruned_loss=0.1052, over 2779145.95 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07052, over 45530.27 utterances.], batch size: 262, lr: 2.47e-04
+2022-09-18 15:07:28,218 INFO [train.py:885] (0/2) Epoch 19, batch 5150, loss[loss=0.2277, simple_loss=0.3079, pruned_loss=0.07372, over 14019.00 frames. utt_duration=573.8 frames, utt_pad_proportion=0.05928, over 98.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.355, pruned_loss=0.107, over 2781936.93 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07208, over 46619.33 utterances.], batch size: 98, lr: 2.47e-04
+2022-09-18 15:07:56,878 INFO [train.py:885] (0/2) Epoch 19, batch 5200, loss[loss=0.3074, simple_loss=0.4036, pruned_loss=0.1056, over 13602.00 frames. utt_duration=98.59 frames, utt_pad_proportion=0.07855, over 560.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3527, pruned_loss=0.1063, over 2784726.93 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07013, over 45630.73 utterances.], batch size: 560, lr: 2.47e-04
+2022-09-18 15:08:26,717 INFO [train.py:885] (0/2) Epoch 19, batch 5250, loss[loss=0.3331, simple_loss=0.388, pruned_loss=0.1391, over 14325.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03918, over 262.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3531, pruned_loss=0.107, over 2781821.38 frames. utt_duration=245.3 frames, utt_pad_proportion=0.0704, over 45639.38 utterances.], batch size: 262, lr: 2.47e-04
+2022-09-18 15:08:56,502 INFO [train.py:885] (0/2) Epoch 19, batch 5300, loss[loss=0.3918, simple_loss=0.481, pruned_loss=0.1513, over 13121.00 frames. utt_duration=81.97 frames, utt_pad_proportion=0.109, over 653.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3528, pruned_loss=0.107, over 2783419.52 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06911, over 45999.39 utterances.], batch size: 653, lr: 2.47e-04
+2022-09-18 15:09:25,749 INFO [train.py:885] (0/2) Epoch 19, batch 5350, loss[loss=0.2509, simple_loss=0.3315, pruned_loss=0.0851, over 14255.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04504, over 141.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3526, pruned_loss=0.1067, over 2788437.33 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06715, over 45760.92 utterances.], batch size: 141, lr: 2.47e-04
+2022-09-18 15:10:01,523 INFO [train.py:885] (0/2) Epoch 19, batch 5400, loss[loss=0.2124, simple_loss=0.267, pruned_loss=0.07895, over 12873.00 frames. utt_duration=1562 frames, utt_pad_proportion=0.1347, over 33.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3523, pruned_loss=0.1071, over 2781207.60 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06952, over 45457.34 utterances.], batch size: 33, lr: 2.47e-04
+2022-09-18 15:10:32,021 INFO [train.py:885] (0/2) Epoch 19, batch 5450, loss[loss=0.2199, simple_loss=0.2829, pruned_loss=0.07851, over 13840.00 frames. utt_duration=803.9 frames, utt_pad_proportion=0.06415, over 69.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.359, pruned_loss=0.1109, over 2781106.50 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07156, over 48086.08 utterances.], batch size: 69, lr: 2.47e-04
+2022-09-18 15:11:01,071 INFO [train.py:885] (0/2) Epoch 19, batch 5500, loss[loss=0.5063, simple_loss=0.5936, pruned_loss=0.2095, over 12547.00 frames. utt_duration=63.42 frames, utt_pad_proportion=0.1429, over 811.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3568, pruned_loss=0.1092, over 2780238.76 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07285, over 47160.23 utterances.], batch size: 811, lr: 2.47e-04
+2022-09-18 15:11:30,657 INFO [train.py:885] (0/2) Epoch 19, batch 5550, loss[loss=0.1835, simple_loss=0.2591, pruned_loss=0.05396, over 14046.00 frames. utt_duration=712.8 frames, utt_pad_proportion=0.0572, over 79.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3556, pruned_loss=0.1082, over 2775730.30 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07377, over 47355.29 utterances.], batch size: 79, lr: 2.47e-04
+2022-09-18 15:11:59,851 INFO [train.py:885] (0/2) Epoch 19, batch 5600, loss[loss=0.2681, simple_loss=0.3252, pruned_loss=0.1054, over 14195.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04325, over 109.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.353, pruned_loss=0.1064, over 2779955.81 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07249, over 46285.92 utterances.], batch size: 109, lr: 2.47e-04
+2022-09-18 15:12:29,632 INFO [train.py:885] (0/2) Epoch 19, batch 5650, loss[loss=0.3196, simple_loss=0.4117, pruned_loss=0.1137, over 13589.00 frames. utt_duration=115.2 frames, utt_pad_proportion=0.07808, over 478.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3512, pruned_loss=0.1052, over 2777461.51 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07226, over 45504.13 utterances.], batch size: 478, lr: 2.47e-04
+2022-09-18 15:12:59,046 INFO [train.py:885] (0/2) Epoch 19, batch 5700, loss[loss=0.2714, simple_loss=0.3687, pruned_loss=0.08705, over 14062.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.0541, over 366.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3513, pruned_loss=0.1057, over 2781820.27 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07005, over 45290.80 utterances.], batch size: 366, lr: 2.47e-04
+2022-09-18 15:13:28,486 INFO [train.py:885] (0/2) Epoch 19, batch 5750, loss[loss=0.2824, simple_loss=0.3629, pruned_loss=0.1009, over 14292.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04087, over 262.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3555, pruned_loss=0.1082, over 2783380.79 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07088, over 46212.48 utterances.], batch size: 262, lr: 2.47e-04
+2022-09-18 15:13:58,139 INFO [train.py:885] (0/2) Epoch 19, batch 5800, loss[loss=0.5151, simple_loss=0.5931, pruned_loss=0.2185, over 12452.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 811.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3539, pruned_loss=0.1072, over 2777964.89 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07316, over 45788.53 utterances.], batch size: 811, lr: 2.47e-04
+2022-09-18 15:14:27,682 INFO [train.py:885] (0/2) Epoch 19, batch 5850, loss[loss=0.3086, simple_loss=0.3849, pruned_loss=0.1161, over 14304.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03975, over 262.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3535, pruned_loss=0.1073, over 2775991.49 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07296, over 45662.49 utterances.], batch size: 262, lr: 2.47e-04
+2022-09-18 15:14:57,948 INFO [train.py:885] (0/2) Epoch 19, batch 5900, loss[loss=0.2328, simple_loss=0.2909, pruned_loss=0.08736, over 13888.00 frames. utt_duration=806.6 frames, utt_pad_proportion=0.06101, over 69.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3517, pruned_loss=0.1069, over 2772783.95 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07385, over 45390.54 utterances.], batch size: 69, lr: 2.47e-04
+2022-09-18 15:15:31,770 INFO [train.py:885] (0/2) Epoch 19, batch 5950, loss[loss=0.2989, simple_loss=0.3419, pruned_loss=0.128, over 14116.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05105, over 98.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3505, pruned_loss=0.106, over 2776676.30 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07238, over 44885.04 utterances.], batch size: 98, lr: 2.47e-04
+2022-09-18 15:16:01,394 INFO [train.py:885] (0/2) Epoch 19, batch 6000, loss[loss=0.2732, simple_loss=0.3396, pruned_loss=0.1034, over 14238.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04639, over 141.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3505, pruned_loss=0.1061, over 2776780.51 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07273, over 44820.84 utterances.], batch size: 141, lr: 2.47e-04
+2022-09-18 15:16:01,395 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 15:16:06,066 INFO [train.py:914] (0/2) Epoch 19, validation: loss=0.1909, simple_loss=0.2707, pruned_loss=0.05554, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 15:16:35,191 INFO [train.py:885] (0/2) Epoch 19, batch 6050, loss[loss=0.1696, simple_loss=0.245, pruned_loss=0.04707, over 13117.00 frames. utt_duration=1281 frames, utt_pad_proportion=0.104, over 41.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3511, pruned_loss=0.106, over 2778305.46 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07369, over 45143.48 utterances.], batch size: 41, lr: 2.47e-04
+2022-09-18 15:17:04,768 INFO [train.py:885] (0/2) Epoch 19, batch 6100, loss[loss=0.2827, simple_loss=0.3758, pruned_loss=0.09484, over 13752.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07334, over 411.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3521, pruned_loss=0.1061, over 2774709.94 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07475, over 45791.04 utterances.], batch size: 411, lr: 2.47e-04
+2022-09-18 15:17:34,557 INFO [train.py:885] (0/2) Epoch 19, batch 6150, loss[loss=0.1818, simple_loss=0.2547, pruned_loss=0.05445, over 13805.00 frames. utt_duration=921.7 frames, utt_pad_proportion=0.07369, over 60.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3506, pruned_loss=0.1063, over 2775611.05 frames. utt_duration=252 frames, utt_pad_proportion=0.07345, over 44311.54 utterances.], batch size: 60, lr: 2.47e-04
+2022-09-18 15:18:04,721 INFO [train.py:885] (0/2) Epoch 19, batch 6200, loss[loss=0.3056, simple_loss=0.3659, pruned_loss=0.1226, over 14290.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03952, over 180.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3533, pruned_loss=0.1072, over 2780629.81 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06994, over 45459.18 utterances.], batch size: 180, lr: 2.47e-04
+2022-09-18 15:18:33,251 INFO [train.py:885] (0/2) Epoch 19, batch 6250, loss[loss=0.2685, simple_loss=0.3357, pruned_loss=0.1006, over 14332.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04153, over 110.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3537, pruned_loss=0.1088, over 2780470.42 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06991, over 44781.68 utterances.], batch size: 110, lr: 2.47e-04
+2022-09-18 15:19:03,175 INFO [train.py:885] (0/2) Epoch 19, batch 6300, loss[loss=0.219, simple_loss=0.2981, pruned_loss=0.06992, over 14201.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04268, over 109.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3552, pruned_loss=0.1089, over 2782263.24 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07015, over 45809.41 utterances.], batch size: 109, lr: 2.47e-04
+2022-09-18 15:19:33,065 INFO [train.py:885] (0/2) Epoch 19, batch 6350, loss[loss=0.1639, simple_loss=0.2426, pruned_loss=0.0426, over 12382.00 frames. utt_duration=1983 frames, utt_pad_proportion=0.1735, over 25.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3557, pruned_loss=0.1094, over 2781350.71 frames. utt_duration=242 frames, utt_pad_proportion=0.07185, over 46256.86 utterances.], batch size: 25, lr: 2.47e-04
+2022-09-18 15:20:02,790 INFO [train.py:885] (0/2) Epoch 19, batch 6400, loss[loss=0.4909, simple_loss=0.5526, pruned_loss=0.2147, over 13237.00 frames. utt_duration=82.63 frames, utt_pad_proportion=0.1019, over 653.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3565, pruned_loss=0.1104, over 2775409.32 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07381, over 46404.39 utterances.], batch size: 653, lr: 2.47e-04
+2022-09-18 15:20:32,591 INFO [train.py:885] (0/2) Epoch 19, batch 6450, loss[loss=0.3294, simple_loss=0.3962, pruned_loss=0.1313, over 14331.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03833, over 262.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3577, pruned_loss=0.1105, over 2779246.67 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07151, over 46303.90 utterances.], batch size: 262, lr: 2.47e-04
+2022-09-18 15:21:01,301 INFO [train.py:885] (0/2) Epoch 19, batch 6500, loss[loss=0.1868, simple_loss=0.236, pruned_loss=0.06879, over 13552.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08467, over 50.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3516, pruned_loss=0.1076, over 2780601.55 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06873, over 43908.58 utterances.], batch size: 50, lr: 2.47e-04
+2022-09-18 15:21:31,351 INFO [train.py:885] (0/2) Epoch 19, batch 6550, loss[loss=0.2802, simple_loss=0.3559, pruned_loss=0.1022, over 14385.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03137, over 244.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3502, pruned_loss=0.1065, over 2778564.94 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06993, over 44242.17 utterances.], batch size: 244, lr: 2.47e-04
+2022-09-18 15:22:01,021 INFO [train.py:885] (0/2) Epoch 19, batch 6600, loss[loss=0.1502, simple_loss=0.1903, pruned_loss=0.05508, over 12168.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1614, over 24.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3521, pruned_loss=0.1076, over 2776384.86 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07043, over 45170.55 utterances.], batch size: 24, lr: 2.47e-04
+2022-09-18 15:22:30,215 INFO [train.py:885] (0/2) Epoch 19, batch 6650, loss[loss=0.1814, simple_loss=0.2545, pruned_loss=0.05419, over 13504.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.09082, over 50.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3548, pruned_loss=0.1079, over 2778431.00 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07131, over 46582.08 utterances.], batch size: 50, lr: 2.47e-04
+2022-09-18 15:22:59,349 INFO [train.py:885] (0/2) Epoch 19, batch 6700, loss[loss=0.3168, simple_loss=0.3826, pruned_loss=0.1255, over 14358.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03558, over 195.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3534, pruned_loss=0.1075, over 2781802.97 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06936, over 45603.14 utterances.], batch size: 195, lr: 2.47e-04
+2022-09-18 15:23:29,325 INFO [train.py:885] (0/2) Epoch 19, batch 6750, loss[loss=0.2881, simple_loss=0.3572, pruned_loss=0.1095, over 14373.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03728, over 167.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.355, pruned_loss=0.1078, over 2781666.77 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07092, over 46615.12 utterances.], batch size: 167, lr: 2.47e-04
+2022-09-18 15:23:58,654 INFO [train.py:885] (0/2) Epoch 19, batch 6800, loss[loss=0.1664, simple_loss=0.223, pruned_loss=0.05486, over 13327.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.09037, over 41.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3546, pruned_loss=0.1076, over 2778761.54 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07264, over 46690.49 utterances.], batch size: 41, lr: 2.47e-04
+2022-09-18 15:24:28,500 INFO [train.py:885] (0/2) Epoch 19, batch 6850, loss[loss=0.1812, simple_loss=0.2272, pruned_loss=0.06759, over 12561.00 frames. utt_duration=2095 frames, utt_pad_proportion=0.1446, over 24.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3516, pruned_loss=0.1056, over 2774567.44 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07225, over 45676.45 utterances.], batch size: 24, lr: 2.47e-04
+2022-09-18 15:24:57,751 INFO [train.py:885] (0/2) Epoch 19, batch 6900, loss[loss=0.2584, simple_loss=0.3423, pruned_loss=0.08727, over 14324.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03736, over 210.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3478, pruned_loss=0.1038, over 2774878.81 frames. utt_duration=252.2 frames, utt_pad_proportion=0.0721, over 44274.43 utterances.], batch size: 210, lr: 2.47e-04
+2022-09-18 15:25:27,864 INFO [train.py:885] (0/2) Epoch 19, batch 6950, loss[loss=0.1826, simple_loss=0.2588, pruned_loss=0.05323, over 13839.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.07254, over 51.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3519, pruned_loss=0.1063, over 2777316.35 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07183, over 45294.11 utterances.], batch size: 51, lr: 2.47e-04
+2022-09-18 15:25:57,049 INFO [train.py:885] (0/2) Epoch 19, batch 7000, loss[loss=0.2511, simple_loss=0.3143, pruned_loss=0.09392, over 14133.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.0474, over 109.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3543, pruned_loss=0.1074, over 2781014.51 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07216, over 46302.85 utterances.], batch size: 109, lr: 2.46e-04
+2022-09-18 15:26:26,890 INFO [train.py:885] (0/2) Epoch 19, batch 7050, loss[loss=0.3698, simple_loss=0.4565, pruned_loss=0.1415, over 13601.00 frames. utt_duration=98.54 frames, utt_pad_proportion=0.07909, over 560.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3529, pruned_loss=0.1059, over 2779441.64 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07225, over 46366.11 utterances.], batch size: 560, lr: 2.46e-04
+2022-09-18 15:26:56,646 INFO [train.py:885] (0/2) Epoch 19, batch 7100, loss[loss=0.2415, simple_loss=0.3056, pruned_loss=0.08871, over 13201.00 frames. utt_duration=1601 frames, utt_pad_proportion=0.09882, over 33.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3519, pruned_loss=0.1055, over 2779505.23 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07284, over 46001.05 utterances.], batch size: 33, lr: 2.46e-04
+2022-09-18 15:27:26,016 INFO [train.py:885] (0/2) Epoch 19, batch 7150, loss[loss=0.2807, simple_loss=0.3594, pruned_loss=0.1009, over 14358.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03559, over 210.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3531, pruned_loss=0.1058, over 2776685.61 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07522, over 46920.22 utterances.], batch size: 210, lr: 2.46e-04
+2022-09-18 15:27:55,499 INFO [train.py:885] (0/2) Epoch 19, batch 7200, loss[loss=0.3389, simple_loss=0.4055, pruned_loss=0.1361, over 14337.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03855, over 262.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3509, pruned_loss=0.1057, over 2778390.88 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07293, over 45677.29 utterances.], batch size: 262, lr: 2.46e-04
+2022-09-18 15:28:24,817 INFO [train.py:885] (0/2) Epoch 19, batch 7250, loss[loss=0.1461, simple_loss=0.1845, pruned_loss=0.05387, over 12336.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.1715, over 24.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3513, pruned_loss=0.1061, over 2774313.01 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07446, over 45960.95 utterances.], batch size: 24, lr: 2.46e-04
+2022-09-18 15:28:54,777 INFO [train.py:885] (0/2) Epoch 19, batch 7300, loss[loss=0.2505, simple_loss=0.3219, pruned_loss=0.08956, over 14315.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03894, over 120.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3523, pruned_loss=0.1065, over 2773821.80 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07521, over 46248.65 utterances.], batch size: 120, lr: 2.46e-04
+2022-09-18 15:29:23,988 INFO [train.py:885] (0/2) Epoch 19, batch 7350, loss[loss=0.4877, simple_loss=0.5783, pruned_loss=0.1986, over 12525.00 frames. utt_duration=63.36 frames, utt_pad_proportion=0.1437, over 810.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3538, pruned_loss=0.107, over 2777278.54 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07484, over 46820.20 utterances.], batch size: 810, lr: 2.46e-04
+2022-09-18 15:29:53,660 INFO [train.py:885] (0/2) Epoch 19, batch 7400, loss[loss=0.4084, simple_loss=0.4529, pruned_loss=0.1819, over 14256.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04127, over 335.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3518, pruned_loss=0.1064, over 2778734.14 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07333, over 45515.54 utterances.], batch size: 335, lr: 2.46e-04
+2022-09-18 15:30:22,954 INFO [train.py:885] (0/2) Epoch 19, batch 7450, loss[loss=0.3175, simple_loss=0.3853, pruned_loss=0.1249, over 14371.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03458, over 195.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3533, pruned_loss=0.1072, over 2778682.17 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0746, over 45665.56 utterances.], batch size: 195, lr: 2.46e-04
+2022-09-18 15:30:52,175 INFO [train.py:885] (0/2) Epoch 19, batch 7500, loss[loss=0.188, simple_loss=0.2637, pruned_loss=0.05616, over 13921.00 frames. utt_duration=706.3 frames, utt_pad_proportion=0.0657, over 79.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3489, pruned_loss=0.1049, over 2778536.75 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07233, over 43896.62 utterances.], batch size: 79, lr: 2.46e-04
+2022-09-18 15:31:21,994 INFO [train.py:885] (0/2) Epoch 19, batch 7550, loss[loss=0.2189, simple_loss=0.2992, pruned_loss=0.06934, over 14084.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05514, over 98.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.35, pruned_loss=0.1048, over 2778189.77 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07335, over 44834.97 utterances.], batch size: 98, lr: 2.46e-04
+2022-09-18 15:31:51,463 INFO [train.py:885] (0/2) Epoch 19, batch 7600, loss[loss=0.3167, simple_loss=0.379, pruned_loss=0.1272, over 14304.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03915, over 283.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3525, pruned_loss=0.1056, over 2783280.11 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07136, over 45874.03 utterances.], batch size: 283, lr: 2.46e-04
+2022-09-18 15:32:21,189 INFO [train.py:885] (0/2) Epoch 19, batch 7650, loss[loss=0.4167, simple_loss=0.4974, pruned_loss=0.168, over 13142.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1083, over 653.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3518, pruned_loss=0.105, over 2778710.50 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0735, over 46459.29 utterances.], batch size: 653, lr: 2.46e-04
+2022-09-18 15:32:50,794 INFO [train.py:885] (0/2) Epoch 19, batch 7700, loss[loss=0.2603, simple_loss=0.3328, pruned_loss=0.09392, over 14304.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04188, over 167.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3537, pruned_loss=0.1067, over 2777129.49 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07344, over 46519.75 utterances.], batch size: 167, lr: 2.46e-04
+2022-09-18 15:33:20,228 INFO [train.py:885] (0/2) Epoch 19, batch 7750, loss[loss=0.3165, simple_loss=0.3878, pruned_loss=0.1226, over 14257.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04117, over 306.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3536, pruned_loss=0.1075, over 2784459.45 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06937, over 45245.60 utterances.], batch size: 306, lr: 2.46e-04
+2022-09-18 15:33:49,434 INFO [train.py:885] (0/2) Epoch 19, batch 7800, loss[loss=0.3397, simple_loss=0.4003, pruned_loss=0.1395, over 14388.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03137, over 244.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3511, pruned_loss=0.1065, over 2786883.12 frames. utt_duration=254 frames, utt_pad_proportion=0.06934, over 44147.45 utterances.], batch size: 244, lr: 2.46e-04
+2022-09-18 15:34:19,083 INFO [train.py:885] (0/2) Epoch 19, batch 7850, loss[loss=0.1979, simple_loss=0.2697, pruned_loss=0.06309, over 13728.00 frames. utt_duration=797.3 frames, utt_pad_proportion=0.07179, over 69.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3499, pruned_loss=0.1055, over 2787341.91 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06785, over 43738.10 utterances.], batch size: 69, lr: 2.46e-04
+2022-09-18 15:34:48,803 INFO [train.py:885] (0/2) Epoch 19, batch 7900, loss[loss=0.2033, simple_loss=0.2735, pruned_loss=0.06648, over 13519.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08604, over 50.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.352, pruned_loss=0.1062, over 2784000.30 frames. utt_duration=246.5 frames, utt_pad_proportion=0.0705, over 45446.98 utterances.], batch size: 50, lr: 2.46e-04
+2022-09-18 15:35:18,878 INFO [train.py:885] (0/2) Epoch 19, batch 7950, loss[loss=0.3021, simple_loss=0.3724, pruned_loss=0.1159, over 14360.00 frames. utt_duration=220.7 frames, utt_pad_proportion=0.03628, over 262.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3553, pruned_loss=0.1091, over 2789845.87 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06758, over 45338.16 utterances.], batch size: 262, lr: 2.46e-04
+2022-09-18 15:35:48,281 INFO [train.py:885] (0/2) Epoch 19, batch 8000, loss[loss=0.3546, simple_loss=0.4018, pruned_loss=0.1537, over 14354.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03825, over 167.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3562, pruned_loss=0.11, over 2794787.56 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06599, over 45367.06 utterances.], batch size: 167, lr: 2.46e-04
+2022-09-18 15:36:17,503 INFO [train.py:885] (0/2) Epoch 19, batch 8050, loss[loss=0.3689, simple_loss=0.4192, pruned_loss=0.1592, over 14176.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04637, over 306.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3556, pruned_loss=0.11, over 2793534.47 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06676, over 44873.53 utterances.], batch size: 306, lr: 2.46e-04
+2022-09-18 15:36:47,284 INFO [train.py:885] (0/2) Epoch 19, batch 8100, loss[loss=0.2573, simple_loss=0.3249, pruned_loss=0.09488, over 14262.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04116, over 180.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3535, pruned_loss=0.1083, over 2786093.62 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06881, over 45086.69 utterances.], batch size: 180, lr: 2.46e-04
+2022-09-18 15:37:16,948 INFO [train.py:885] (0/2) Epoch 19, batch 8150, loss[loss=0.3661, simple_loss=0.4205, pruned_loss=0.1559, over 14240.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04205, over 306.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3578, pruned_loss=0.1104, over 2782250.26 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07177, over 47429.54 utterances.], batch size: 306, lr: 2.46e-04
+2022-09-18 15:37:46,551 INFO [train.py:885] (0/2) Epoch 19, batch 8200, loss[loss=0.2396, simple_loss=0.2898, pruned_loss=0.09472, over 14201.00 frames. utt_duration=639.8 frames, utt_pad_proportion=0.04647, over 89.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3572, pruned_loss=0.1105, over 2782747.90 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07247, over 46850.72 utterances.], batch size: 89, lr: 2.46e-04
+2022-09-18 15:38:15,670 INFO [train.py:885] (0/2) Epoch 19, batch 8250, loss[loss=0.2284, simple_loss=0.3023, pruned_loss=0.07728, over 14116.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.05146, over 98.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3567, pruned_loss=0.111, over 2786420.23 frames. utt_duration=243.4 frames, utt_pad_proportion=0.0714, over 46073.47 utterances.], batch size: 98, lr: 2.46e-04
+2022-09-18 15:38:45,209 INFO [train.py:885] (0/2) Epoch 19, batch 8300, loss[loss=0.2762, simple_loss=0.3557, pruned_loss=0.09832, over 14254.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04169, over 225.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3543, pruned_loss=0.1094, over 2783569.47 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07014, over 45151.98 utterances.], batch size: 225, lr: 2.46e-04
+2022-09-18 15:39:14,423 INFO [train.py:885] (0/2) Epoch 19, batch 8350, loss[loss=0.3159, simple_loss=0.3913, pruned_loss=0.1202, over 14171.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04655, over 306.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3508, pruned_loss=0.1078, over 2784124.33 frames. utt_duration=261.3 frames, utt_pad_proportion=0.06843, over 42865.52 utterances.], batch size: 306, lr: 2.46e-04
+2022-09-18 15:39:43,556 INFO [train.py:885] (0/2) Epoch 19, batch 8400, loss[loss=0.234, simple_loss=0.3037, pruned_loss=0.08218, over 14172.00 frames. utt_duration=638.4 frames, utt_pad_proportion=0.04711, over 89.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3509, pruned_loss=0.1079, over 2780592.16 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06914, over 43428.36 utterances.], batch size: 89, lr: 2.46e-04
+2022-09-18 15:40:13,255 INFO [train.py:885] (0/2) Epoch 19, batch 8450, loss[loss=0.5191, simple_loss=0.6007, pruned_loss=0.2187, over 12412.00 frames. utt_duration=62.84 frames, utt_pad_proportion=0.1508, over 810.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.35, pruned_loss=0.1066, over 2782963.00 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06868, over 43483.55 utterances.], batch size: 810, lr: 2.46e-04
+2022-09-18 15:40:42,479 INFO [train.py:885] (0/2) Epoch 19, batch 8500, loss[loss=0.3923, simple_loss=0.4328, pruned_loss=0.1758, over 14231.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04303, over 306.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.353, pruned_loss=0.1077, over 2779993.47 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07084, over 45248.81 utterances.], batch size: 306, lr: 2.46e-04
+2022-09-18 15:41:12,905 INFO [train.py:885] (0/2) Epoch 19, batch 8550, loss[loss=0.2775, simple_loss=0.3363, pruned_loss=0.1093, over 14087.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05183, over 98.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3506, pruned_loss=0.1058, over 2776991.96 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07145, over 44946.45 utterances.], batch size: 98, lr: 2.46e-04
+2022-09-18 15:41:41,693 INFO [train.py:885] (0/2) Epoch 19, batch 8600, loss[loss=0.5225, simple_loss=0.6068, pruned_loss=0.2191, over 12583.00 frames. utt_duration=63.66 frames, utt_pad_proportion=0.1397, over 810.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3515, pruned_loss=0.1061, over 2777148.80 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07239, over 44933.24 utterances.], batch size: 810, lr: 2.46e-04
+2022-09-18 15:42:11,260 INFO [train.py:885] (0/2) Epoch 19, batch 8650, loss[loss=0.1822, simple_loss=0.2747, pruned_loss=0.04487, over 14217.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04434, over 89.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3496, pruned_loss=0.1046, over 2781371.84 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06991, over 44177.48 utterances.], batch size: 89, lr: 2.46e-04
+2022-09-18 15:42:41,393 INFO [train.py:885] (0/2) Epoch 19, batch 8700, loss[loss=0.1971, simple_loss=0.2603, pruned_loss=0.06692, over 13920.00 frames. utt_duration=929.6 frames, utt_pad_proportion=0.06663, over 60.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3498, pruned_loss=0.1042, over 2780212.52 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0714, over 45132.20 utterances.], batch size: 60, lr: 2.46e-04
+2022-09-18 15:43:10,943 INFO [train.py:885] (0/2) Epoch 19, batch 8750, loss[loss=0.3669, simple_loss=0.4185, pruned_loss=0.1576, over 14226.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04342, over 306.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3497, pruned_loss=0.1044, over 2781663.47 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06942, over 44399.45 utterances.], batch size: 306, lr: 2.46e-04
+2022-09-18 15:43:40,398 INFO [train.py:885] (0/2) Epoch 19, batch 8800, loss[loss=0.3631, simple_loss=0.4625, pruned_loss=0.1319, over 13196.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1048, over 653.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3517, pruned_loss=0.1057, over 2782125.99 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07051, over 45067.22 utterances.], batch size: 653, lr: 2.46e-04
+2022-09-18 15:44:04,288 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-236000.pt
+2022-09-18 15:44:10,452 INFO [train.py:885] (0/2) Epoch 19, batch 8850, loss[loss=0.2821, simple_loss=0.3548, pruned_loss=0.1047, over 14345.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03606, over 210.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3481, pruned_loss=0.1037, over 2780622.11 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06958, over 43953.10 utterances.], batch size: 210, lr: 2.46e-04
+2022-09-18 15:44:40,119 INFO [train.py:885] (0/2) Epoch 19, batch 8900, loss[loss=0.2889, simple_loss=0.3507, pruned_loss=0.1135, over 14313.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03757, over 130.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.352, pruned_loss=0.1056, over 2783685.99 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06957, over 44868.54 utterances.], batch size: 130, lr: 2.45e-04
+2022-09-18 15:45:09,634 INFO [train.py:885] (0/2) Epoch 19, batch 8950, loss[loss=0.2243, simple_loss=0.3013, pruned_loss=0.07366, over 14248.00 frames. utt_duration=524.2 frames, utt_pad_proportion=0.03996, over 109.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3519, pruned_loss=0.1059, over 2781813.22 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07063, over 45089.23 utterances.], batch size: 109, lr: 2.45e-04
+2022-09-18 15:45:39,676 INFO [train.py:885] (0/2) Epoch 19, batch 9000, loss[loss=0.2133, simple_loss=0.2885, pruned_loss=0.06911, over 13989.00 frames. utt_duration=572.6 frames, utt_pad_proportion=0.06138, over 98.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.354, pruned_loss=0.1068, over 2781681.63 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07175, over 45928.69 utterances.], batch size: 98, lr: 2.45e-04
+2022-09-18 15:45:39,677 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 15:45:43,838 INFO [train.py:914] (0/2) Epoch 19, validation: loss=0.2024, simple_loss=0.2815, pruned_loss=0.06165, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 15:46:13,586 INFO [train.py:885] (0/2) Epoch 19, batch 9050, loss[loss=0.2524, simple_loss=0.3215, pruned_loss=0.09161, over 14302.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03798, over 130.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3555, pruned_loss=0.1081, over 2785666.73 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06902, over 45276.01 utterances.], batch size: 130, lr: 2.45e-04
+2022-09-18 15:46:42,938 INFO [train.py:885] (0/2) Epoch 19, batch 9100, loss[loss=0.1963, simple_loss=0.2779, pruned_loss=0.05729, over 14226.00 frames. utt_duration=640.7 frames, utt_pad_proportion=0.04229, over 89.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3531, pruned_loss=0.1067, over 2785275.53 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06848, over 45215.76 utterances.], batch size: 89, lr: 2.45e-04
+2022-09-18 15:47:12,984 INFO [train.py:885] (0/2) Epoch 19, batch 9150, loss[loss=0.2109, simple_loss=0.2771, pruned_loss=0.07233, over 13841.00 frames. utt_duration=924 frames, utt_pad_proportion=0.06853, over 60.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3555, pruned_loss=0.1072, over 2785803.07 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06921, over 46370.37 utterances.], batch size: 60, lr: 2.45e-04
+2022-09-18 15:47:42,453 INFO [train.py:885] (0/2) Epoch 19, batch 9200, loss[loss=0.5121, simple_loss=0.5607, pruned_loss=0.2318, over 13155.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1081, over 653.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3572, pruned_loss=0.1076, over 2788532.42 frames. utt_duration=236.6 frames, utt_pad_proportion=0.06882, over 47437.10 utterances.], batch size: 653, lr: 2.45e-04
+2022-09-18 15:48:11,989 INFO [train.py:885] (0/2) Epoch 19, batch 9250, loss[loss=0.2936, simple_loss=0.3623, pruned_loss=0.1125, over 14378.00 frames. utt_duration=296.5 frames, utt_pad_proportion=0.03431, over 195.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3555, pruned_loss=0.1068, over 2793051.19 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06631, over 46495.58 utterances.], batch size: 195, lr: 2.45e-04
+2022-09-18 15:48:41,174 INFO [train.py:885] (0/2) Epoch 19, batch 9300, loss[loss=0.2972, simple_loss=0.3686, pruned_loss=0.1129, over 14290.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03946, over 180.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3525, pruned_loss=0.1061, over 2794285.74 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06483, over 44747.83 utterances.], batch size: 180, lr: 2.45e-04
+2022-09-18 15:49:11,003 INFO [train.py:885] (0/2) Epoch 19, batch 9350, loss[loss=0.2991, simple_loss=0.3692, pruned_loss=0.1144, over 14349.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03602, over 226.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.354, pruned_loss=0.1076, over 2790982.46 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06669, over 45183.01 utterances.], batch size: 226, lr: 2.45e-04
+2022-09-18 15:49:40,970 INFO [train.py:885] (0/2) Epoch 19, batch 9400, loss[loss=0.3476, simple_loss=0.4121, pruned_loss=0.1415, over 14195.00 frames. utt_duration=170.8 frames, utt_pad_proportion=0.04578, over 335.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3544, pruned_loss=0.1076, over 2787759.36 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06671, over 45820.22 utterances.], batch size: 335, lr: 2.45e-04
+2022-09-18 15:50:10,272 INFO [train.py:885] (0/2) Epoch 19, batch 9450, loss[loss=0.1829, simple_loss=0.2455, pruned_loss=0.06013, over 13354.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08843, over 41.00 utterances.], tot_loss[loss=0.286, simple_loss=0.355, pruned_loss=0.1085, over 2782570.39 frames. utt_duration=244.6 frames, utt_pad_proportion=0.0679, over 45781.51 utterances.], batch size: 41, lr: 2.45e-04
+2022-09-18 15:50:39,913 INFO [train.py:885] (0/2) Epoch 19, batch 9500, loss[loss=0.218, simple_loss=0.3002, pruned_loss=0.06792, over 14291.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04039, over 120.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3516, pruned_loss=0.1069, over 2785676.68 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06789, over 44553.78 utterances.], batch size: 120, lr: 2.45e-04
+2022-09-18 15:51:09,791 INFO [train.py:885] (0/2) Epoch 19, batch 9550, loss[loss=0.2983, simple_loss=0.3718, pruned_loss=0.1124, over 14371.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0325, over 244.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3519, pruned_loss=0.1058, over 2783432.67 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06972, over 45682.29 utterances.], batch size: 244, lr: 2.45e-04
+2022-09-18 15:51:39,063 INFO [train.py:885] (0/2) Epoch 19, batch 9600, loss[loss=0.4996, simple_loss=0.582, pruned_loss=0.2086, over 12418.00 frames. utt_duration=62.92 frames, utt_pad_proportion=0.1497, over 810.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3495, pruned_loss=0.1041, over 2780437.06 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06973, over 45374.64 utterances.], batch size: 810, lr: 2.45e-04
+2022-09-18 15:52:09,032 INFO [train.py:885] (0/2) Epoch 19, batch 9650, loss[loss=0.3338, simple_loss=0.4291, pruned_loss=0.1193, over 13606.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.07782, over 560.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3487, pruned_loss=0.104, over 2776018.36 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07209, over 45445.03 utterances.], batch size: 560, lr: 2.45e-04
+2022-09-18 15:52:38,256 INFO [train.py:885] (0/2) Epoch 19, batch 9700, loss[loss=0.4643, simple_loss=0.5663, pruned_loss=0.1811, over 12482.00 frames. utt_duration=63.17 frames, utt_pad_proportion=0.1463, over 810.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3504, pruned_loss=0.1045, over 2774349.28 frames. utt_duration=242 frames, utt_pad_proportion=0.07474, over 46139.11 utterances.], batch size: 810, lr: 2.45e-04
+2022-09-18 15:53:08,175 INFO [train.py:885] (0/2) Epoch 19, batch 9750, loss[loss=0.3093, simple_loss=0.3692, pruned_loss=0.1248, over 14326.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03789, over 210.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3499, pruned_loss=0.1042, over 2779663.36 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07172, over 45209.14 utterances.], batch size: 210, lr: 2.45e-04
+2022-09-18 15:53:37,491 INFO [train.py:885] (0/2) Epoch 19, batch 9800, loss[loss=0.3439, simple_loss=0.4059, pruned_loss=0.1409, over 14236.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04243, over 306.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3478, pruned_loss=0.1036, over 2782147.04 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06972, over 44050.41 utterances.], batch size: 306, lr: 2.45e-04
+2022-09-18 15:54:07,374 INFO [train.py:885] (0/2) Epoch 19, batch 9850, loss[loss=0.3275, simple_loss=0.4203, pruned_loss=0.1174, over 13611.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08158, over 477.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3509, pruned_loss=0.1052, over 2779710.67 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07176, over 45785.74 utterances.], batch size: 477, lr: 2.45e-04
+2022-09-18 15:54:36,643 INFO [train.py:885] (0/2) Epoch 19, batch 9900, loss[loss=0.3389, simple_loss=0.4382, pruned_loss=0.1198, over 13608.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07797, over 560.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3502, pruned_loss=0.1054, over 2780484.93 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07026, over 44894.12 utterances.], batch size: 560, lr: 2.45e-04
+2022-09-18 15:55:06,666 INFO [train.py:885] (0/2) Epoch 19, batch 9950, loss[loss=0.2889, simple_loss=0.3831, pruned_loss=0.09731, over 13772.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07181, over 411.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3524, pruned_loss=0.1068, over 2780622.01 frames. utt_duration=246 frames, utt_pad_proportion=0.07108, over 45494.77 utterances.], batch size: 411, lr: 2.45e-04
+2022-09-18 15:55:35,586 INFO [train.py:885] (0/2) Epoch 19, batch 10000, loss[loss=0.2118, simple_loss=0.2691, pruned_loss=0.0772, over 13497.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.08679, over 50.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3514, pruned_loss=0.1065, over 2782675.81 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06981, over 44461.32 utterances.], batch size: 50, lr: 2.45e-04
+2022-09-18 15:56:06,483 INFO [train.py:885] (0/2) Epoch 19, batch 10050, loss[loss=0.1582, simple_loss=0.2283, pruned_loss=0.04406, over 13277.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09259, over 41.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3545, pruned_loss=0.1067, over 2774978.13 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07487, over 47092.49 utterances.], batch size: 41, lr: 2.45e-04
+2022-09-18 15:56:36,107 INFO [train.py:885] (0/2) Epoch 19, batch 10100, loss[loss=0.1786, simple_loss=0.2525, pruned_loss=0.05231, over 13308.00 frames. utt_duration=1615 frames, utt_pad_proportion=0.104, over 33.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3538, pruned_loss=0.1062, over 2772493.90 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07346, over 46907.93 utterances.], batch size: 33, lr: 2.45e-04
+2022-09-18 15:57:05,020 INFO [train.py:885] (0/2) Epoch 19, batch 10150, loss[loss=0.3848, simple_loss=0.4233, pruned_loss=0.1732, over 14349.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.0361, over 195.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3538, pruned_loss=0.1062, over 2775959.69 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07266, over 46196.89 utterances.], batch size: 195, lr: 2.45e-04
+2022-09-18 15:57:35,026 INFO [train.py:885] (0/2) Epoch 19, batch 10200, loss[loss=0.3063, simple_loss=0.3573, pruned_loss=0.1277, over 14293.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04133, over 154.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3526, pruned_loss=0.1058, over 2773806.47 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07392, over 46167.81 utterances.], batch size: 154, lr: 2.45e-04
+2022-09-18 15:58:04,482 INFO [train.py:885] (0/2) Epoch 19, batch 10250, loss[loss=0.3399, simple_loss=0.4041, pruned_loss=0.1378, over 14302.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04052, over 262.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3538, pruned_loss=0.1066, over 2777828.62 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0725, over 45646.39 utterances.], batch size: 262, lr: 2.45e-04
+2022-09-18 15:58:34,203 INFO [train.py:885] (0/2) Epoch 19, batch 10300, loss[loss=0.2728, simple_loss=0.3467, pruned_loss=0.0995, over 14274.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.0407, over 180.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3536, pruned_loss=0.1065, over 2779999.42 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07068, over 45514.39 utterances.], batch size: 180, lr: 2.45e-04
+2022-09-18 15:59:03,676 INFO [train.py:885] (0/2) Epoch 19, batch 10350, loss[loss=0.1723, simple_loss=0.2524, pruned_loss=0.04615, over 13231.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1121, over 33.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3543, pruned_loss=0.1066, over 2782205.98 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07061, over 45717.81 utterances.], batch size: 33, lr: 2.45e-04
+2022-09-18 15:59:33,411 INFO [train.py:885] (0/2) Epoch 19, batch 10400, loss[loss=0.3616, simple_loss=0.4383, pruned_loss=0.1424, over 13659.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07961, over 477.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3506, pruned_loss=0.1051, over 2780278.55 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07031, over 45141.11 utterances.], batch size: 477, lr: 2.45e-04
+2022-09-18 16:00:02,911 INFO [train.py:885] (0/2) Epoch 19, batch 10450, loss[loss=0.2974, simple_loss=0.3601, pruned_loss=0.1173, over 14363.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03778, over 167.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3494, pruned_loss=0.1042, over 2783745.79 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06917, over 45035.25 utterances.], batch size: 167, lr: 2.45e-04
+2022-09-18 16:00:32,054 INFO [train.py:885] (0/2) Epoch 19, batch 10500, loss[loss=0.2497, simple_loss=0.3159, pruned_loss=0.09173, over 14151.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04629, over 109.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3503, pruned_loss=0.1052, over 2786423.52 frames. utt_duration=252 frames, utt_pad_proportion=0.06895, over 44489.87 utterances.], batch size: 109, lr: 2.45e-04
+2022-09-18 16:01:02,346 INFO [train.py:885] (0/2) Epoch 19, batch 10550, loss[loss=0.4011, simple_loss=0.4708, pruned_loss=0.1657, over 13988.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05672, over 365.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3506, pruned_loss=0.1052, over 2782864.17 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06908, over 44945.48 utterances.], batch size: 365, lr: 2.45e-04
+2022-09-18 16:01:31,550 INFO [train.py:885] (0/2) Epoch 19, batch 10600, loss[loss=0.2107, simple_loss=0.2885, pruned_loss=0.06648, over 12912.00 frames. utt_duration=1566 frames, utt_pad_proportion=0.1239, over 33.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3526, pruned_loss=0.1069, over 2784996.01 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06976, over 44777.95 utterances.], batch size: 33, lr: 2.45e-04
+2022-09-18 16:02:01,296 INFO [train.py:885] (0/2) Epoch 19, batch 10650, loss[loss=0.3092, simple_loss=0.3986, pruned_loss=0.1098, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07133, over 411.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3493, pruned_loss=0.1049, over 2783724.65 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06895, over 43791.73 utterances.], batch size: 411, lr: 2.45e-04
+2022-09-18 16:02:30,776 INFO [train.py:885] (0/2) Epoch 19, batch 10700, loss[loss=0.3361, simple_loss=0.3928, pruned_loss=0.1397, over 14308.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03917, over 283.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3512, pruned_loss=0.1067, over 2784906.03 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06872, over 43651.57 utterances.], batch size: 283, lr: 2.45e-04
+2022-09-18 16:03:06,756 INFO [train.py:885] (0/2) Epoch 19, batch 10750, loss[loss=0.3228, simple_loss=0.3703, pruned_loss=0.1377, over 14327.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.0399, over 120.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.351, pruned_loss=0.107, over 2786642.21 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06668, over 42876.25 utterances.], batch size: 120, lr: 2.45e-04
+2022-09-18 16:03:36,749 INFO [train.py:885] (0/2) Epoch 19, batch 10800, loss[loss=0.253, simple_loss=0.315, pruned_loss=0.09553, over 14052.00 frames. utt_duration=575 frames, utt_pad_proportion=0.05731, over 98.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3534, pruned_loss=0.1078, over 2780064.31 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06948, over 44637.11 utterances.], batch size: 98, lr: 2.45e-04
+2022-09-18 16:04:05,955 INFO [train.py:885] (0/2) Epoch 19, batch 10850, loss[loss=0.3231, simple_loss=0.4247, pruned_loss=0.1108, over 13651.00 frames. utt_duration=98.88 frames, utt_pad_proportion=0.07593, over 560.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3553, pruned_loss=0.1079, over 2784987.78 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06826, over 45721.22 utterances.], batch size: 560, lr: 2.44e-04
+2022-09-18 16:04:35,108 INFO [train.py:885] (0/2) Epoch 19, batch 10900, loss[loss=0.5516, simple_loss=0.6221, pruned_loss=0.2406, over 12447.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3551, pruned_loss=0.1074, over 2782028.65 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07049, over 46388.33 utterances.], batch size: 810, lr: 2.44e-04
+2022-09-18 16:05:04,522 INFO [train.py:885] (0/2) Epoch 19, batch 10950, loss[loss=0.3107, simple_loss=0.3853, pruned_loss=0.118, over 14341.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03441, over 244.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3536, pruned_loss=0.1074, over 2781494.48 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07016, over 45734.03 utterances.], batch size: 244, lr: 2.44e-04
+2022-09-18 16:05:34,466 INFO [train.py:885] (0/2) Epoch 19, batch 11000, loss[loss=0.3182, simple_loss=0.386, pruned_loss=0.1252, over 14333.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03802, over 262.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3545, pruned_loss=0.1075, over 2783485.50 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06937, over 46042.10 utterances.], batch size: 262, lr: 2.44e-04
+2022-09-18 16:06:04,274 INFO [train.py:885] (0/2) Epoch 19, batch 11050, loss[loss=0.5299, simple_loss=0.6092, pruned_loss=0.2252, over 12549.00 frames. utt_duration=63.48 frames, utt_pad_proportion=0.1421, over 810.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3536, pruned_loss=0.1068, over 2782048.62 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07112, over 45837.88 utterances.], batch size: 810, lr: 2.44e-04
+2022-09-18 16:06:34,183 INFO [train.py:885] (0/2) Epoch 19, batch 11100, loss[loss=0.3689, simple_loss=0.4261, pruned_loss=0.1559, over 14300.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04003, over 262.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3553, pruned_loss=0.1074, over 2779436.88 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07289, over 46940.09 utterances.], batch size: 262, lr: 2.44e-04
+2022-09-18 16:07:03,817 INFO [train.py:885] (0/2) Epoch 19, batch 11150, loss[loss=0.3254, simple_loss=0.3985, pruned_loss=0.1262, over 13991.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05618, over 365.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.355, pruned_loss=0.1074, over 2778179.31 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07398, over 46863.40 utterances.], batch size: 365, lr: 2.44e-04
+2022-09-18 16:07:33,477 INFO [train.py:885] (0/2) Epoch 19, batch 11200, loss[loss=0.2349, simple_loss=0.305, pruned_loss=0.08235, over 14121.00 frames. utt_duration=519.8 frames, utt_pad_proportion=0.04801, over 109.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3503, pruned_loss=0.1047, over 2778005.57 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07257, over 45092.09 utterances.], batch size: 109, lr: 2.44e-04
+2022-09-18 16:08:02,197 INFO [train.py:885] (0/2) Epoch 19, batch 11250, loss[loss=0.261, simple_loss=0.3373, pruned_loss=0.09236, over 14326.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03682, over 130.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3486, pruned_loss=0.1035, over 2783801.58 frames. utt_duration=252 frames, utt_pad_proportion=0.06998, over 44442.97 utterances.], batch size: 130, lr: 2.44e-04
+2022-09-18 16:08:32,379 INFO [train.py:885] (0/2) Epoch 19, batch 11300, loss[loss=0.5599, simple_loss=0.6323, pruned_loss=0.2437, over 12540.00 frames. utt_duration=63.47 frames, utt_pad_proportion=0.1423, over 810.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3529, pruned_loss=0.1064, over 2782527.79 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07189, over 45993.97 utterances.], batch size: 810, lr: 2.44e-04
+2022-09-18 16:09:00,778 INFO [train.py:885] (0/2) Epoch 19, batch 11350, loss[loss=0.1658, simple_loss=0.2332, pruned_loss=0.04914, over 13565.00 frames. utt_duration=1646 frames, utt_pad_proportion=0.09034, over 33.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3508, pruned_loss=0.1058, over 2787015.40 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06955, over 44424.95 utterances.], batch size: 33, lr: 2.44e-04
+2022-09-18 16:09:30,861 INFO [train.py:885] (0/2) Epoch 19, batch 11400, loss[loss=0.2807, simple_loss=0.3559, pruned_loss=0.1027, over 14332.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03745, over 195.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3502, pruned_loss=0.1049, over 2787941.67 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06831, over 44770.26 utterances.], batch size: 195, lr: 2.44e-04
+2022-09-18 16:10:00,654 INFO [train.py:885] (0/2) Epoch 19, batch 11450, loss[loss=0.2576, simple_loss=0.3266, pruned_loss=0.09433, over 14100.00 frames. utt_duration=577.1 frames, utt_pad_proportion=0.05243, over 98.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3534, pruned_loss=0.1067, over 2784072.57 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06954, over 45692.14 utterances.], batch size: 98, lr: 2.44e-04
+2022-09-18 16:10:30,924 INFO [train.py:885] (0/2) Epoch 19, batch 11500, loss[loss=0.3629, simple_loss=0.4172, pruned_loss=0.1543, over 14339.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03722, over 283.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3551, pruned_loss=0.1078, over 2779436.84 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07146, over 46664.55 utterances.], batch size: 283, lr: 2.44e-04
+2022-09-18 16:11:00,800 INFO [train.py:885] (0/2) Epoch 19, batch 11550, loss[loss=0.1958, simple_loss=0.2684, pruned_loss=0.06155, over 14247.00 frames. utt_duration=642 frames, utt_pad_proportion=0.04315, over 89.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3552, pruned_loss=0.1077, over 2782012.48 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07119, over 46897.43 utterances.], batch size: 89, lr: 2.44e-04
+2022-09-18 16:11:30,167 INFO [train.py:885] (0/2) Epoch 19, batch 11600, loss[loss=0.2499, simple_loss=0.3224, pruned_loss=0.08874, over 14217.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04763, over 141.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3493, pruned_loss=0.1042, over 2782039.34 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06905, over 44516.08 utterances.], batch size: 141, lr: 2.44e-04
+2022-09-18 16:12:00,255 INFO [train.py:885] (0/2) Epoch 19, batch 11650, loss[loss=0.4853, simple_loss=0.5775, pruned_loss=0.1966, over 12552.00 frames. utt_duration=63.55 frames, utt_pad_proportion=0.1413, over 810.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3508, pruned_loss=0.1052, over 2778402.07 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07238, over 45364.72 utterances.], batch size: 810, lr: 2.44e-04
+2022-09-18 16:12:29,509 INFO [train.py:885] (0/2) Epoch 19, batch 11700, loss[loss=0.263, simple_loss=0.3449, pruned_loss=0.09051, over 14345.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03686, over 120.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3511, pruned_loss=0.1051, over 2777705.41 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07271, over 45758.28 utterances.], batch size: 120, lr: 2.44e-04
+2022-09-18 16:12:59,536 INFO [train.py:885] (0/2) Epoch 19, batch 11750, loss[loss=0.2017, simple_loss=0.2836, pruned_loss=0.0599, over 14016.00 frames. utt_duration=711.5 frames, utt_pad_proportion=0.05892, over 79.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.354, pruned_loss=0.1065, over 2775386.55 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0744, over 46784.21 utterances.], batch size: 79, lr: 2.44e-04
+2022-09-18 16:13:28,549 INFO [train.py:885] (0/2) Epoch 19, batch 11800, loss[loss=0.2764, simple_loss=0.3792, pruned_loss=0.08685, over 13805.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06919, over 411.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.352, pruned_loss=0.1053, over 2775732.47 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07448, over 46646.46 utterances.], batch size: 411, lr: 2.44e-04
+2022-09-18 16:13:57,926 INFO [train.py:885] (0/2) Epoch 19, batch 11850, loss[loss=0.3079, simple_loss=0.3699, pruned_loss=0.1229, over 14311.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03777, over 154.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3554, pruned_loss=0.1076, over 2774941.48 frames. utt_duration=234.2 frames, utt_pad_proportion=0.0767, over 47705.19 utterances.], batch size: 154, lr: 2.44e-04
+2022-09-18 16:14:27,312 INFO [train.py:885] (0/2) Epoch 19, batch 11900, loss[loss=0.1968, simple_loss=0.2601, pruned_loss=0.06672, over 13001.00 frames. utt_duration=2082 frames, utt_pad_proportion=0.1135, over 25.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3517, pruned_loss=0.105, over 2776141.47 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07462, over 46455.36 utterances.], batch size: 25, lr: 2.44e-04
+2022-09-18 16:14:57,097 INFO [train.py:885] (0/2) Epoch 19, batch 11950, loss[loss=0.2732, simple_loss=0.3301, pruned_loss=0.1082, over 14295.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04001, over 120.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3488, pruned_loss=0.1041, over 2781213.86 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07109, over 44455.34 utterances.], batch size: 120, lr: 2.44e-04
+2022-09-18 16:15:26,589 INFO [train.py:885] (0/2) Epoch 19, batch 12000, loss[loss=0.5529, simple_loss=0.6276, pruned_loss=0.2391, over 12430.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3503, pruned_loss=0.1056, over 2775783.51 frames. utt_duration=248.2 frames, utt_pad_proportion=0.0743, over 45011.95 utterances.], batch size: 810, lr: 2.44e-04
+2022-09-18 16:15:26,591 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 16:15:31,138 INFO [train.py:914] (0/2) Epoch 19, validation: loss=0.1956, simple_loss=0.2755, pruned_loss=0.05781, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 16:16:00,959 INFO [train.py:885] (0/2) Epoch 19, batch 12050, loss[loss=0.2657, simple_loss=0.3363, pruned_loss=0.09753, over 14325.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.0366, over 130.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3526, pruned_loss=0.1069, over 2780132.26 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07267, over 46000.61 utterances.], batch size: 130, lr: 2.44e-04
+2022-09-18 16:16:31,206 INFO [train.py:885] (0/2) Epoch 19, batch 12100, loss[loss=0.3087, simple_loss=0.3728, pruned_loss=0.1223, over 14376.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.032, over 244.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3567, pruned_loss=0.1092, over 2780599.84 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07527, over 47264.29 utterances.], batch size: 244, lr: 2.44e-04
+2022-09-18 16:17:00,887 INFO [train.py:885] (0/2) Epoch 19, batch 12150, loss[loss=0.164, simple_loss=0.2337, pruned_loss=0.04718, over 12690.00 frames. utt_duration=2032 frames, utt_pad_proportion=0.1486, over 25.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.354, pruned_loss=0.1078, over 2773077.28 frames. utt_duration=240 frames, utt_pad_proportion=0.07533, over 46501.82 utterances.], batch size: 25, lr: 2.44e-04
+2022-09-18 16:17:30,426 INFO [train.py:885] (0/2) Epoch 19, batch 12200, loss[loss=0.6433, simple_loss=0.6802, pruned_loss=0.3031, over 12450.00 frames. utt_duration=63.1 frames, utt_pad_proportion=0.1473, over 810.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3566, pruned_loss=0.1096, over 2773770.90 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07464, over 47564.94 utterances.], batch size: 810, lr: 2.44e-04
+2022-09-18 16:18:00,094 INFO [train.py:885] (0/2) Epoch 19, batch 12250, loss[loss=0.3621, simple_loss=0.4105, pruned_loss=0.1569, over 14292.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04007, over 283.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3535, pruned_loss=0.1072, over 2770397.99 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07462, over 47391.43 utterances.], batch size: 283, lr: 2.44e-04
+2022-09-18 16:18:30,192 INFO [train.py:885] (0/2) Epoch 19, batch 12300, loss[loss=0.5322, simple_loss=0.6061, pruned_loss=0.2291, over 12428.00 frames. utt_duration=62.93 frames, utt_pad_proportion=0.1496, over 810.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3509, pruned_loss=0.1065, over 2774562.94 frames. utt_duration=245.7 frames, utt_pad_proportion=0.0731, over 45435.50 utterances.], batch size: 810, lr: 2.44e-04
+2022-09-18 16:18:59,955 INFO [train.py:885] (0/2) Epoch 19, batch 12350, loss[loss=0.2575, simple_loss=0.3381, pruned_loss=0.08841, over 14333.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03995, over 167.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3489, pruned_loss=0.105, over 2775092.25 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07217, over 45121.10 utterances.], batch size: 167, lr: 2.44e-04
+2022-09-18 16:19:29,160 INFO [train.py:885] (0/2) Epoch 19, batch 12400, loss[loss=0.1382, simple_loss=0.2029, pruned_loss=0.03678, over 13717.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.0763, over 42.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3489, pruned_loss=0.1049, over 2776701.58 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07097, over 44724.23 utterances.], batch size: 42, lr: 2.44e-04
+2022-09-18 16:19:58,956 INFO [train.py:885] (0/2) Epoch 19, batch 12450, loss[loss=0.2107, simple_loss=0.2918, pruned_loss=0.06478, over 14026.00 frames. utt_duration=711.7 frames, utt_pad_proportion=0.05739, over 79.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3531, pruned_loss=0.1078, over 2777010.99 frames. utt_duration=245.2 frames, utt_pad_proportion=0.0731, over 45575.19 utterances.], batch size: 79, lr: 2.44e-04
+2022-09-18 16:20:28,518 INFO [train.py:885] (0/2) Epoch 19, batch 12500, loss[loss=0.4086, simple_loss=0.4724, pruned_loss=0.1724, over 13774.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07158, over 411.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.354, pruned_loss=0.1083, over 2780728.92 frames. utt_duration=244 frames, utt_pad_proportion=0.07151, over 45870.25 utterances.], batch size: 411, lr: 2.44e-04
+2022-09-18 16:20:57,818 INFO [train.py:885] (0/2) Epoch 19, batch 12550, loss[loss=0.2483, simple_loss=0.321, pruned_loss=0.0878, over 14255.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04507, over 141.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3523, pruned_loss=0.1076, over 2784948.42 frames. utt_duration=254.7 frames, utt_pad_proportion=0.0695, over 43997.13 utterances.], batch size: 141, lr: 2.44e-04
+2022-09-18 16:21:25,642 INFO [train.py:885] (0/2) Epoch 19, batch 12600, loss[loss=0.2414, simple_loss=0.3131, pruned_loss=0.08486, over 14211.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04234, over 109.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3535, pruned_loss=0.1078, over 2783243.14 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06953, over 45238.50 utterances.], batch size: 109, lr: 2.44e-04
+2022-09-18 16:21:37,658 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-19.pt
+2022-09-18 16:21:45,504 INFO [train.py:885] (0/2) Epoch 20, batch 0, loss[loss=0.2052, simple_loss=0.2851, pruned_loss=0.0626, over 14055.00 frames. utt_duration=575 frames, utt_pad_proportion=0.05731, over 98.00 utterances.], tot_loss[loss=0.2052, simple_loss=0.2851, pruned_loss=0.0626, over 14055.00 frames. utt_duration=575 frames, utt_pad_proportion=0.05731, over 98.00 utterances.], batch size: 98, lr: 2.38e-04
+2022-09-18 16:22:16,723 INFO [train.py:885] (0/2) Epoch 20, batch 50, loss[loss=0.1811, simple_loss=0.2458, pruned_loss=0.05823, over 13485.00 frames. utt_duration=1317 frames, utt_pad_proportion=0.08031, over 41.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3555, pruned_loss=0.1085, over 626760.39 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07057, over 10695.31 utterances.], batch size: 41, lr: 2.38e-04
+2022-09-18 16:22:46,111 INFO [train.py:885] (0/2) Epoch 20, batch 100, loss[loss=0.2768, simple_loss=0.3508, pruned_loss=0.1014, over 14256.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04526, over 141.00 utterances.], tot_loss[loss=0.281, simple_loss=0.352, pruned_loss=0.105, over 1102277.55 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07456, over 18759.72 utterances.], batch size: 141, lr: 2.38e-04
+2022-09-18 16:23:15,697 INFO [train.py:885] (0/2) Epoch 20, batch 150, loss[loss=0.2732, simple_loss=0.3568, pruned_loss=0.09481, over 14333.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03812, over 262.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3469, pruned_loss=0.1042, over 1476733.91 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07063, over 23386.86 utterances.], batch size: 262, lr: 2.38e-04
+2022-09-18 16:23:45,500 INFO [train.py:885] (0/2) Epoch 20, batch 200, loss[loss=0.2486, simple_loss=0.3206, pruned_loss=0.08826, over 14101.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.05442, over 98.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.347, pruned_loss=0.1046, over 1759493.55 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07322, over 27934.88 utterances.], batch size: 98, lr: 2.38e-04
+2022-09-18 16:23:57,453 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-240000.pt
+2022-09-18 16:24:16,106 INFO [train.py:885] (0/2) Epoch 20, batch 250, loss[loss=0.2777, simple_loss=0.3533, pruned_loss=0.101, over 14313.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03742, over 180.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3426, pruned_loss=0.1017, over 1982758.57 frames. utt_duration=262.7 frames, utt_pad_proportion=0.0722, over 30356.91 utterances.], batch size: 180, lr: 2.38e-04
+2022-09-18 16:24:46,504 INFO [train.py:885] (0/2) Epoch 20, batch 300, loss[loss=0.334, simple_loss=0.4076, pruned_loss=0.1302, over 14351.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03346, over 244.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3471, pruned_loss=0.1043, over 2161972.77 frames. utt_duration=259.2 frames, utt_pad_proportion=0.07266, over 33559.92 utterances.], batch size: 244, lr: 2.38e-04
+2022-09-18 16:25:15,716 INFO [train.py:885] (0/2) Epoch 20, batch 350, loss[loss=0.181, simple_loss=0.2466, pruned_loss=0.05775, over 12334.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.1635, over 24.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3509, pruned_loss=0.1068, over 2300058.90 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07063, over 36198.42 utterances.], batch size: 24, lr: 2.38e-04
+2022-09-18 16:25:45,491 INFO [train.py:885] (0/2) Epoch 20, batch 400, loss[loss=0.4585, simple_loss=0.4744, pruned_loss=0.2213, over 14368.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03255, over 244.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3542, pruned_loss=0.1082, over 2406664.09 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07278, over 39357.37 utterances.], batch size: 244, lr: 2.38e-04
+2022-09-18 16:26:14,332 INFO [train.py:885] (0/2) Epoch 20, batch 450, loss[loss=0.2893, simple_loss=0.3967, pruned_loss=0.09097, over 13639.00 frames. utt_duration=98.94 frames, utt_pad_proportion=0.07537, over 560.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3569, pruned_loss=0.1101, over 2486070.76 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07419, over 41587.74 utterances.], batch size: 560, lr: 2.37e-04
+2022-09-18 16:26:44,050 INFO [train.py:885] (0/2) Epoch 20, batch 500, loss[loss=0.2166, simple_loss=0.2772, pruned_loss=0.07794, over 13385.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.08636, over 41.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3538, pruned_loss=0.1083, over 2551381.02 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07233, over 42331.21 utterances.], batch size: 41, lr: 2.37e-04
+2022-09-18 16:27:13,723 INFO [train.py:885] (0/2) Epoch 20, batch 550, loss[loss=0.2205, simple_loss=0.2926, pruned_loss=0.07417, over 14277.00 frames. utt_duration=643.2 frames, utt_pad_proportion=0.04144, over 89.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3511, pruned_loss=0.1066, over 2593983.84 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07527, over 42701.49 utterances.], batch size: 89, lr: 2.37e-04
+2022-09-18 16:27:43,721 INFO [train.py:885] (0/2) Epoch 20, batch 600, loss[loss=0.2861, simple_loss=0.3599, pruned_loss=0.1062, over 14362.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03813, over 167.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3514, pruned_loss=0.107, over 2635084.03 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07431, over 42737.60 utterances.], batch size: 167, lr: 2.37e-04
+2022-09-18 16:28:13,728 INFO [train.py:885] (0/2) Epoch 20, batch 650, loss[loss=0.2874, simple_loss=0.3633, pruned_loss=0.1058, over 14328.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03804, over 283.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.349, pruned_loss=0.105, over 2664859.86 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07328, over 42697.36 utterances.], batch size: 283, lr: 2.37e-04
+2022-09-18 16:28:43,221 INFO [train.py:885] (0/2) Epoch 20, batch 700, loss[loss=0.3405, simple_loss=0.4037, pruned_loss=0.1387, over 14197.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04408, over 306.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3508, pruned_loss=0.1058, over 2688938.50 frames. utt_duration=245 frames, utt_pad_proportion=0.07344, over 44169.57 utterances.], batch size: 306, lr: 2.37e-04
+2022-09-18 16:29:13,637 INFO [train.py:885] (0/2) Epoch 20, batch 750, loss[loss=0.1638, simple_loss=0.2171, pruned_loss=0.05522, over 13504.00 frames. utt_duration=1638 frames, utt_pad_proportion=0.09341, over 33.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3508, pruned_loss=0.1052, over 2710940.04 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07352, over 44973.53 utterances.], batch size: 33, lr: 2.37e-04
+2022-09-18 16:29:42,840 INFO [train.py:885] (0/2) Epoch 20, batch 800, loss[loss=0.2583, simple_loss=0.316, pruned_loss=0.1003, over 14196.00 frames. utt_duration=580.8 frames, utt_pad_proportion=0.04626, over 98.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3486, pruned_loss=0.1045, over 2731314.27 frames. utt_duration=252 frames, utt_pad_proportion=0.07052, over 43615.01 utterances.], batch size: 98, lr: 2.37e-04
+2022-09-18 16:30:12,276 INFO [train.py:885] (0/2) Epoch 20, batch 850, loss[loss=0.2758, simple_loss=0.3584, pruned_loss=0.09659, over 14260.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04192, over 225.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3491, pruned_loss=0.1048, over 2741294.63 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06959, over 43974.94 utterances.], batch size: 225, lr: 2.37e-04
+2022-09-18 16:30:41,874 INFO [train.py:885] (0/2) Epoch 20, batch 900, loss[loss=0.1686, simple_loss=0.2204, pruned_loss=0.05844, over 13140.00 frames. utt_duration=1594 frames, utt_pad_proportion=0.1172, over 33.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3486, pruned_loss=0.1046, over 2748874.45 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06915, over 43557.15 utterances.], batch size: 33, lr: 2.37e-04
+2022-09-18 16:31:11,161 INFO [train.py:885] (0/2) Epoch 20, batch 950, loss[loss=0.2699, simple_loss=0.3345, pruned_loss=0.1027, over 14253.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04574, over 141.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3508, pruned_loss=0.1059, over 2759774.11 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06807, over 43427.85 utterances.], batch size: 141, lr: 2.37e-04
+2022-09-18 16:31:41,001 INFO [train.py:885] (0/2) Epoch 20, batch 1000, loss[loss=0.3813, simple_loss=0.4761, pruned_loss=0.1432, over 13162.00 frames. utt_duration=82.13 frames, utt_pad_proportion=0.1073, over 653.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3525, pruned_loss=0.1059, over 2760536.49 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06991, over 44823.49 utterances.], batch size: 653, lr: 2.37e-04
+2022-09-18 16:32:09,804 INFO [train.py:885] (0/2) Epoch 20, batch 1050, loss[loss=0.2027, simple_loss=0.2705, pruned_loss=0.06747, over 13242.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.0963, over 41.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3514, pruned_loss=0.105, over 2765296.99 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07061, over 44467.32 utterances.], batch size: 41, lr: 2.37e-04
+2022-09-18 16:32:39,875 INFO [train.py:885] (0/2) Epoch 20, batch 1100, loss[loss=0.2597, simple_loss=0.3277, pruned_loss=0.09581, over 14349.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.03447, over 130.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3496, pruned_loss=0.1039, over 2765866.25 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07315, over 44610.52 utterances.], batch size: 130, lr: 2.37e-04
+2022-09-18 16:33:09,115 INFO [train.py:885] (0/2) Epoch 20, batch 1150, loss[loss=0.2759, simple_loss=0.354, pruned_loss=0.09889, over 14293.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03896, over 225.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3475, pruned_loss=0.1031, over 2770843.17 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07228, over 43834.22 utterances.], batch size: 225, lr: 2.37e-04
+2022-09-18 16:33:38,123 INFO [train.py:885] (0/2) Epoch 20, batch 1200, loss[loss=0.304, simple_loss=0.3705, pruned_loss=0.1187, over 14348.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03694, over 283.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3499, pruned_loss=0.1043, over 2777295.34 frames. utt_duration=252.4 frames, utt_pad_proportion=0.0711, over 44278.04 utterances.], batch size: 283, lr: 2.37e-04
+2022-09-18 16:34:07,662 INFO [train.py:885] (0/2) Epoch 20, batch 1250, loss[loss=0.3478, simple_loss=0.3992, pruned_loss=0.1482, over 14318.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.0401, over 154.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3502, pruned_loss=0.1048, over 2777011.31 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07193, over 44462.60 utterances.], batch size: 154, lr: 2.37e-04
+2022-09-18 16:34:37,586 INFO [train.py:885] (0/2) Epoch 20, batch 1300, loss[loss=0.3129, simple_loss=0.3846, pruned_loss=0.1206, over 14339.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03714, over 210.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3506, pruned_loss=0.1044, over 2774255.88 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07479, over 45663.18 utterances.], batch size: 210, lr: 2.37e-04
+2022-09-18 16:35:15,053 INFO [train.py:885] (0/2) Epoch 20, batch 1350, loss[loss=0.2684, simple_loss=0.3517, pruned_loss=0.0925, over 14347.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03702, over 262.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3508, pruned_loss=0.1044, over 2776781.68 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07388, over 45367.28 utterances.], batch size: 262, lr: 2.37e-04
+2022-09-18 16:35:44,295 INFO [train.py:885] (0/2) Epoch 20, batch 1400, loss[loss=0.3203, simple_loss=0.3895, pruned_loss=0.1256, over 14303.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03844, over 226.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3513, pruned_loss=0.105, over 2780383.76 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07291, over 45363.60 utterances.], batch size: 226, lr: 2.37e-04
+2022-09-18 16:36:14,160 INFO [train.py:885] (0/2) Epoch 20, batch 1450, loss[loss=0.29, simple_loss=0.366, pruned_loss=0.1071, over 14373.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03728, over 167.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3489, pruned_loss=0.1035, over 2781117.89 frames. utt_duration=249.7 frames, utt_pad_proportion=0.0712, over 44821.59 utterances.], batch size: 167, lr: 2.37e-04
+2022-09-18 16:36:43,077 INFO [train.py:885] (0/2) Epoch 20, batch 1500, loss[loss=0.3478, simple_loss=0.4021, pruned_loss=0.1468, over 14280.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04105, over 283.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3506, pruned_loss=0.1051, over 2782053.83 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06958, over 44559.44 utterances.], batch size: 283, lr: 2.37e-04
+2022-09-18 16:37:17,328 INFO [train.py:885] (0/2) Epoch 20, batch 1550, loss[loss=0.2583, simple_loss=0.348, pruned_loss=0.08433, over 14373.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0325, over 244.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3538, pruned_loss=0.1075, over 2781350.81 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06986, over 45223.39 utterances.], batch size: 244, lr: 2.37e-04
+2022-09-18 16:37:49,781 INFO [train.py:885] (0/2) Epoch 20, batch 1600, loss[loss=0.3733, simple_loss=0.4576, pruned_loss=0.1445, over 13585.00 frames. utt_duration=98.44 frames, utt_pad_proportion=0.07996, over 560.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3525, pruned_loss=0.106, over 2780788.55 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07058, over 45828.61 utterances.], batch size: 560, lr: 2.37e-04
+2022-09-18 16:38:18,941 INFO [train.py:885] (0/2) Epoch 20, batch 1650, loss[loss=0.2293, simple_loss=0.3161, pruned_loss=0.07128, over 14311.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.03836, over 154.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3527, pruned_loss=0.1061, over 2779396.57 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07284, over 45783.41 utterances.], batch size: 154, lr: 2.37e-04
+2022-09-18 16:38:49,227 INFO [train.py:885] (0/2) Epoch 20, batch 1700, loss[loss=0.2909, simple_loss=0.3939, pruned_loss=0.09391, over 13666.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0796, over 477.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3535, pruned_loss=0.1068, over 2774526.03 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07348, over 46582.85 utterances.], batch size: 477, lr: 2.37e-04
+2022-09-18 16:39:18,474 INFO [train.py:885] (0/2) Epoch 20, batch 1750, loss[loss=0.3539, simple_loss=0.4066, pruned_loss=0.1506, over 14213.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04448, over 225.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3528, pruned_loss=0.1066, over 2777873.17 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07141, over 45733.93 utterances.], batch size: 225, lr: 2.37e-04
+2022-09-18 16:39:48,285 INFO [train.py:885] (0/2) Epoch 20, batch 1800, loss[loss=0.3181, simple_loss=0.3927, pruned_loss=0.1217, over 14337.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03671, over 210.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3549, pruned_loss=0.1075, over 2781250.98 frames. utt_duration=243 frames, utt_pad_proportion=0.07272, over 46053.45 utterances.], batch size: 210, lr: 2.37e-04
+2022-09-18 16:40:17,687 INFO [train.py:885] (0/2) Epoch 20, batch 1850, loss[loss=0.1926, simple_loss=0.2589, pruned_loss=0.06313, over 13647.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.0798, over 50.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3522, pruned_loss=0.1065, over 2782394.99 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07003, over 45481.36 utterances.], batch size: 50, lr: 2.37e-04
+2022-09-18 16:40:47,672 INFO [train.py:885] (0/2) Epoch 20, batch 1900, loss[loss=0.3271, simple_loss=0.3864, pruned_loss=0.1339, over 14325.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03867, over 283.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3554, pruned_loss=0.1079, over 2782262.23 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07283, over 47240.69 utterances.], batch size: 283, lr: 2.37e-04
+2022-09-18 16:41:16,837 INFO [train.py:885] (0/2) Epoch 20, batch 1950, loss[loss=0.2414, simple_loss=0.3176, pruned_loss=0.08264, over 14225.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04157, over 109.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3592, pruned_loss=0.1095, over 2783346.86 frames. utt_duration=232.8 frames, utt_pad_proportion=0.0721, over 48135.46 utterances.], batch size: 109, lr: 2.37e-04
+2022-09-18 16:41:46,379 INFO [train.py:885] (0/2) Epoch 20, batch 2000, loss[loss=0.5708, simple_loss=0.6335, pruned_loss=0.2541, over 12505.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.144, over 810.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3617, pruned_loss=0.1113, over 2780705.53 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07407, over 48765.52 utterances.], batch size: 810, lr: 2.37e-04
+2022-09-18 16:42:16,766 INFO [train.py:885] (0/2) Epoch 20, batch 2050, loss[loss=0.2926, simple_loss=0.3546, pruned_loss=0.1153, over 14236.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04649, over 141.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.3617, pruned_loss=0.111, over 2779395.03 frames. utt_duration=226.1 frames, utt_pad_proportion=0.07488, over 49497.29 utterances.], batch size: 141, lr: 2.37e-04
+2022-09-18 16:42:46,048 INFO [train.py:885] (0/2) Epoch 20, batch 2100, loss[loss=0.2807, simple_loss=0.3545, pruned_loss=0.1034, over 14273.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04387, over 141.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3619, pruned_loss=0.1108, over 2779964.57 frames. utt_duration=226 frames, utt_pad_proportion=0.07516, over 49524.15 utterances.], batch size: 141, lr: 2.37e-04
+2022-09-18 16:43:15,842 INFO [train.py:885] (0/2) Epoch 20, batch 2150, loss[loss=0.2391, simple_loss=0.3078, pruned_loss=0.0852, over 14378.00 frames. utt_duration=480.6 frames, utt_pad_proportion=0.03502, over 120.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3607, pruned_loss=0.1106, over 2774308.32 frames. utt_duration=225.9 frames, utt_pad_proportion=0.07694, over 49455.43 utterances.], batch size: 120, lr: 2.37e-04
+2022-09-18 16:43:45,274 INFO [train.py:885] (0/2) Epoch 20, batch 2200, loss[loss=0.2137, simple_loss=0.277, pruned_loss=0.07517, over 14111.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05203, over 98.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3569, pruned_loss=0.1085, over 2769768.57 frames. utt_duration=229.9 frames, utt_pad_proportion=0.07754, over 48508.77 utterances.], batch size: 98, lr: 2.37e-04
+2022-09-18 16:44:14,607 INFO [train.py:885] (0/2) Epoch 20, batch 2250, loss[loss=0.244, simple_loss=0.322, pruned_loss=0.08302, over 14394.00 frames. utt_duration=346.2 frames, utt_pad_proportion=0.03563, over 167.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3538, pruned_loss=0.1069, over 2774213.47 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07533, over 47249.59 utterances.], batch size: 167, lr: 2.37e-04
+2022-09-18 16:44:44,597 INFO [train.py:885] (0/2) Epoch 20, batch 2300, loss[loss=0.3905, simple_loss=0.4349, pruned_loss=0.1731, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04371, over 335.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3568, pruned_loss=0.1087, over 2775835.56 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07476, over 48017.35 utterances.], batch size: 335, lr: 2.37e-04
+2022-09-18 16:45:13,822 INFO [train.py:885] (0/2) Epoch 20, batch 2350, loss[loss=0.2609, simple_loss=0.325, pruned_loss=0.09845, over 14139.00 frames. utt_duration=520.2 frames, utt_pad_proportion=0.04717, over 109.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3556, pruned_loss=0.1081, over 2779582.89 frames. utt_duration=237.8 frames, utt_pad_proportion=0.0734, over 47056.98 utterances.], batch size: 109, lr: 2.37e-04
+2022-09-18 16:45:43,676 INFO [train.py:885] (0/2) Epoch 20, batch 2400, loss[loss=0.2834, simple_loss=0.3592, pruned_loss=0.1038, over 14265.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04083, over 180.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3572, pruned_loss=0.1087, over 2774285.29 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07688, over 48200.75 utterances.], batch size: 180, lr: 2.37e-04
+2022-09-18 16:46:12,909 INFO [train.py:885] (0/2) Epoch 20, batch 2450, loss[loss=0.2757, simple_loss=0.3603, pruned_loss=0.09552, over 14322.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03923, over 262.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3563, pruned_loss=0.1087, over 2778116.66 frames. utt_duration=238 frames, utt_pad_proportion=0.07472, over 46975.89 utterances.], batch size: 262, lr: 2.36e-04
+2022-09-18 16:46:42,643 INFO [train.py:885] (0/2) Epoch 20, batch 2500, loss[loss=0.2069, simple_loss=0.2838, pruned_loss=0.06503, over 14012.00 frames. utt_duration=711 frames, utt_pad_proportion=0.05957, over 79.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3569, pruned_loss=0.1088, over 2778745.17 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07424, over 47619.56 utterances.], batch size: 79, lr: 2.36e-04
+2022-09-18 16:47:12,081 INFO [train.py:885] (0/2) Epoch 20, batch 2550, loss[loss=0.2678, simple_loss=0.3336, pruned_loss=0.101, over 14234.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04666, over 141.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3574, pruned_loss=0.109, over 2784371.62 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07229, over 46840.67 utterances.], batch size: 141, lr: 2.36e-04
+2022-09-18 16:47:41,931 INFO [train.py:885] (0/2) Epoch 20, batch 2600, loss[loss=0.4186, simple_loss=0.4752, pruned_loss=0.181, over 13660.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07963, over 477.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3549, pruned_loss=0.108, over 2778386.04 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07347, over 46167.70 utterances.], batch size: 477, lr: 2.36e-04
+2022-09-18 16:48:10,771 INFO [train.py:885] (0/2) Epoch 20, batch 2650, loss[loss=0.3646, simple_loss=0.4175, pruned_loss=0.1559, over 14314.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03864, over 283.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3529, pruned_loss=0.1076, over 2775706.07 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07377, over 45417.10 utterances.], batch size: 283, lr: 2.36e-04
+2022-09-18 16:48:41,682 INFO [train.py:885] (0/2) Epoch 20, batch 2700, loss[loss=0.3433, simple_loss=0.4096, pruned_loss=0.1385, over 14199.00 frames. utt_duration=170.8 frames, utt_pad_proportion=0.04563, over 335.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3557, pruned_loss=0.1093, over 2774393.54 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07392, over 46290.90 utterances.], batch size: 335, lr: 2.36e-04
+2022-09-18 16:49:11,386 INFO [train.py:885] (0/2) Epoch 20, batch 2750, loss[loss=0.2669, simple_loss=0.3269, pruned_loss=0.1035, over 14060.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05666, over 98.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3578, pruned_loss=0.1101, over 2774653.68 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07522, over 46704.70 utterances.], batch size: 98, lr: 2.36e-04
+2022-09-18 16:49:40,145 INFO [train.py:885] (0/2) Epoch 20, batch 2800, loss[loss=0.2772, simple_loss=0.3576, pruned_loss=0.09835, over 14398.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03083, over 244.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3582, pruned_loss=0.1101, over 2775318.01 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07413, over 47401.28 utterances.], batch size: 244, lr: 2.36e-04
+2022-09-18 16:50:09,487 INFO [train.py:885] (0/2) Epoch 20, batch 2850, loss[loss=0.309, simple_loss=0.3772, pruned_loss=0.1204, over 14291.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.04237, over 167.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3586, pruned_loss=0.1092, over 2773315.36 frames. utt_duration=230.6 frames, utt_pad_proportion=0.0747, over 48415.48 utterances.], batch size: 167, lr: 2.36e-04
+2022-09-18 16:50:39,408 INFO [train.py:885] (0/2) Epoch 20, batch 2900, loss[loss=0.2463, simple_loss=0.3317, pruned_loss=0.08043, over 14232.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04234, over 141.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3591, pruned_loss=0.1091, over 2775374.95 frames. utt_duration=228.8 frames, utt_pad_proportion=0.07405, over 48843.56 utterances.], batch size: 141, lr: 2.36e-04
+2022-09-18 16:51:08,844 INFO [train.py:885] (0/2) Epoch 20, batch 2950, loss[loss=0.1978, simple_loss=0.2664, pruned_loss=0.06462, over 13845.00 frames. utt_duration=924.6 frames, utt_pad_proportion=0.07074, over 60.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3578, pruned_loss=0.108, over 2775373.62 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07353, over 48233.24 utterances.], batch size: 60, lr: 2.36e-04
+2022-09-18 16:51:38,192 INFO [train.py:885] (0/2) Epoch 20, batch 3000, loss[loss=0.2731, simple_loss=0.344, pruned_loss=0.1011, over 14332.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03946, over 167.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3546, pruned_loss=0.1065, over 2775737.77 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07169, over 46171.61 utterances.], batch size: 167, lr: 2.36e-04
+2022-09-18 16:51:38,193 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 16:51:42,945 INFO [train.py:914] (0/2) Epoch 20, validation: loss=0.1912, simple_loss=0.2716, pruned_loss=0.05539, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 16:52:12,475 INFO [train.py:885] (0/2) Epoch 20, batch 3050, loss[loss=0.2674, simple_loss=0.3338, pruned_loss=0.1005, over 14186.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04411, over 109.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3529, pruned_loss=0.1057, over 2776241.15 frames. utt_duration=244 frames, utt_pad_proportion=0.07192, over 45783.07 utterances.], batch size: 109, lr: 2.36e-04
+2022-09-18 16:52:42,425 INFO [train.py:885] (0/2) Epoch 20, batch 3100, loss[loss=0.2821, simple_loss=0.3597, pruned_loss=0.1023, over 14211.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04402, over 306.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3514, pruned_loss=0.1046, over 2780076.97 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07063, over 45896.24 utterances.], batch size: 306, lr: 2.36e-04
+2022-09-18 16:53:11,342 INFO [train.py:885] (0/2) Epoch 20, batch 3150, loss[loss=0.1851, simple_loss=0.2472, pruned_loss=0.06145, over 13769.00 frames. utt_duration=1103 frames, utt_pad_proportion=0.06549, over 50.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3494, pruned_loss=0.104, over 2778439.65 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07062, over 45127.29 utterances.], batch size: 50, lr: 2.36e-04
+2022-09-18 16:53:41,381 INFO [train.py:885] (0/2) Epoch 20, batch 3200, loss[loss=0.2892, simple_loss=0.3641, pruned_loss=0.1071, over 14199.00 frames. utt_duration=254.1 frames, utt_pad_proportion=0.04486, over 225.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3494, pruned_loss=0.1039, over 2775497.14 frames. utt_duration=243 frames, utt_pad_proportion=0.07172, over 45967.32 utterances.], batch size: 225, lr: 2.36e-04
+2022-09-18 16:54:11,173 INFO [train.py:885] (0/2) Epoch 20, batch 3250, loss[loss=0.2922, simple_loss=0.3982, pruned_loss=0.09307, over 13650.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0799, over 477.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3502, pruned_loss=0.1049, over 2776164.38 frames. utt_duration=244.5 frames, utt_pad_proportion=0.0711, over 45695.69 utterances.], batch size: 477, lr: 2.36e-04
+2022-09-18 16:54:41,130 INFO [train.py:885] (0/2) Epoch 20, batch 3300, loss[loss=0.2917, simple_loss=0.3808, pruned_loss=0.1013, over 13981.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.0568, over 365.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3514, pruned_loss=0.1053, over 2780142.76 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06992, over 46297.41 utterances.], batch size: 365, lr: 2.36e-04
+2022-09-18 16:55:10,672 INFO [train.py:885] (0/2) Epoch 20, batch 3350, loss[loss=0.2466, simple_loss=0.305, pruned_loss=0.09412, over 14063.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05344, over 98.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.349, pruned_loss=0.1044, over 2780713.73 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07016, over 45231.88 utterances.], batch size: 98, lr: 2.36e-04
+2022-09-18 16:55:39,999 INFO [train.py:885] (0/2) Epoch 20, batch 3400, loss[loss=0.239, simple_loss=0.315, pruned_loss=0.08149, over 14264.00 frames. utt_duration=477 frames, utt_pad_proportion=0.04214, over 120.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3477, pruned_loss=0.1033, over 2787077.85 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06737, over 44419.46 utterances.], batch size: 120, lr: 2.36e-04
+2022-09-18 16:56:09,398 INFO [train.py:885] (0/2) Epoch 20, batch 3450, loss[loss=0.2376, simple_loss=0.3165, pruned_loss=0.07936, over 14362.00 frames. utt_duration=480.2 frames, utt_pad_proportion=0.03578, over 120.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3481, pruned_loss=0.1036, over 2784650.74 frames. utt_duration=252 frames, utt_pad_proportion=0.06956, over 44461.05 utterances.], batch size: 120, lr: 2.36e-04
+2022-09-18 16:56:39,008 INFO [train.py:885] (0/2) Epoch 20, batch 3500, loss[loss=0.2692, simple_loss=0.349, pruned_loss=0.09471, over 14320.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03749, over 154.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3498, pruned_loss=0.1036, over 2786195.47 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06904, over 45509.92 utterances.], batch size: 154, lr: 2.36e-04
+2022-09-18 16:57:08,007 INFO [train.py:885] (0/2) Epoch 20, batch 3550, loss[loss=0.2268, simple_loss=0.2934, pruned_loss=0.08013, over 14094.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.05442, over 98.00 utterances.], tot_loss[loss=0.277, simple_loss=0.348, pruned_loss=0.103, over 2787783.74 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06802, over 44783.62 utterances.], batch size: 98, lr: 2.36e-04
+2022-09-18 16:57:37,981 INFO [train.py:885] (0/2) Epoch 20, batch 3600, loss[loss=0.2941, simple_loss=0.369, pruned_loss=0.1096, over 14321.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03722, over 180.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3499, pruned_loss=0.1037, over 2782694.32 frames. utt_duration=246 frames, utt_pad_proportion=0.07117, over 45521.66 utterances.], batch size: 180, lr: 2.36e-04
+2022-09-18 16:58:07,610 INFO [train.py:885] (0/2) Epoch 20, batch 3650, loss[loss=0.3224, simple_loss=0.391, pruned_loss=0.1269, over 14370.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.032, over 244.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3495, pruned_loss=0.104, over 2782049.51 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07076, over 45350.80 utterances.], batch size: 244, lr: 2.36e-04
+2022-09-18 16:58:37,208 INFO [train.py:885] (0/2) Epoch 20, batch 3700, loss[loss=0.4916, simple_loss=0.5636, pruned_loss=0.2098, over 13128.00 frames. utt_duration=81.94 frames, utt_pad_proportion=0.1093, over 653.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3511, pruned_loss=0.1044, over 2779813.08 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07289, over 46152.83 utterances.], batch size: 653, lr: 2.36e-04
+2022-09-18 16:59:06,619 INFO [train.py:885] (0/2) Epoch 20, batch 3750, loss[loss=0.233, simple_loss=0.3079, pruned_loss=0.07907, over 14131.00 frames. utt_duration=520.2 frames, utt_pad_proportion=0.04733, over 109.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3507, pruned_loss=0.1043, over 2784777.85 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07042, over 45501.08 utterances.], batch size: 109, lr: 2.36e-04
+2022-09-18 16:59:35,807 INFO [train.py:885] (0/2) Epoch 20, batch 3800, loss[loss=0.2319, simple_loss=0.2959, pruned_loss=0.0839, over 14053.00 frames. utt_duration=713 frames, utt_pad_proportion=0.05684, over 79.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3487, pruned_loss=0.1036, over 2784076.27 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07043, over 44045.82 utterances.], batch size: 79, lr: 2.36e-04
+2022-09-18 17:00:05,453 INFO [train.py:885] (0/2) Epoch 20, batch 3850, loss[loss=0.1885, simple_loss=0.2704, pruned_loss=0.0533, over 14106.00 frames. utt_duration=635.5 frames, utt_pad_proportion=0.05285, over 89.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.348, pruned_loss=0.1031, over 2781856.16 frames. utt_duration=254 frames, utt_pad_proportion=0.07177, over 44058.80 utterances.], batch size: 89, lr: 2.36e-04
+2022-09-18 17:00:34,570 INFO [train.py:885] (0/2) Epoch 20, batch 3900, loss[loss=0.2182, simple_loss=0.2944, pruned_loss=0.07106, over 14021.00 frames. utt_duration=573.7 frames, utt_pad_proportion=0.05796, over 98.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3463, pruned_loss=0.1027, over 2782042.50 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06938, over 43365.76 utterances.], batch size: 98, lr: 2.36e-04
+2022-09-18 17:01:04,500 INFO [train.py:885] (0/2) Epoch 20, batch 3950, loss[loss=0.3318, simple_loss=0.4258, pruned_loss=0.1189, over 13595.00 frames. utt_duration=98.48 frames, utt_pad_proportion=0.07966, over 560.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3478, pruned_loss=0.1032, over 2775244.87 frames. utt_duration=247 frames, utt_pad_proportion=0.07276, over 45213.03 utterances.], batch size: 560, lr: 2.36e-04
+2022-09-18 17:01:34,139 INFO [train.py:885] (0/2) Epoch 20, batch 4000, loss[loss=0.3, simple_loss=0.3696, pruned_loss=0.1152, over 14264.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04075, over 180.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3449, pruned_loss=0.1019, over 2778681.68 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07225, over 43540.33 utterances.], batch size: 180, lr: 2.36e-04
+2022-09-18 17:02:03,387 INFO [train.py:885] (0/2) Epoch 20, batch 4050, loss[loss=0.1986, simple_loss=0.2495, pruned_loss=0.07385, over 13082.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1218, over 33.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3486, pruned_loss=0.1045, over 2777335.59 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07373, over 44147.64 utterances.], batch size: 33, lr: 2.36e-04
+2022-09-18 17:02:33,159 INFO [train.py:885] (0/2) Epoch 20, batch 4100, loss[loss=0.3627, simple_loss=0.4123, pruned_loss=0.1566, over 14217.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04323, over 306.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3493, pruned_loss=0.1051, over 2777651.20 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07288, over 44816.09 utterances.], batch size: 306, lr: 2.36e-04
+2022-09-18 17:03:03,075 INFO [train.py:885] (0/2) Epoch 20, batch 4150, loss[loss=0.2904, simple_loss=0.3664, pruned_loss=0.1072, over 14318.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03857, over 283.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3521, pruned_loss=0.1058, over 2773739.04 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07689, over 46068.45 utterances.], batch size: 283, lr: 2.36e-04
+2022-09-18 17:03:31,706 INFO [train.py:885] (0/2) Epoch 20, batch 4200, loss[loss=0.3958, simple_loss=0.4653, pruned_loss=0.1631, over 13703.00 frames. utt_duration=134.9 frames, utt_pad_proportion=0.07569, over 411.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3504, pruned_loss=0.1053, over 2778331.64 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07505, over 44888.94 utterances.], batch size: 411, lr: 2.36e-04
+2022-09-18 17:03:43,839 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-244000.pt
+2022-09-18 17:04:02,524 INFO [train.py:885] (0/2) Epoch 20, batch 4250, loss[loss=0.5077, simple_loss=0.6005, pruned_loss=0.2074, over 12517.00 frames. utt_duration=63.38 frames, utt_pad_proportion=0.1436, over 810.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3513, pruned_loss=0.1051, over 2777701.44 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07433, over 45685.89 utterances.], batch size: 810, lr: 2.36e-04
+2022-09-18 17:04:31,944 INFO [train.py:885] (0/2) Epoch 20, batch 4300, loss[loss=0.3311, simple_loss=0.4065, pruned_loss=0.1279, over 13984.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.0568, over 365.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3547, pruned_loss=0.106, over 2776153.49 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07475, over 47527.78 utterances.], batch size: 365, lr: 2.36e-04
+2022-09-18 17:05:01,264 INFO [train.py:885] (0/2) Epoch 20, batch 4350, loss[loss=0.3269, simple_loss=0.3902, pruned_loss=0.1318, over 14284.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.0409, over 283.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3528, pruned_loss=0.1049, over 2780354.29 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07229, over 46892.71 utterances.], batch size: 283, lr: 2.36e-04
+2022-09-18 17:05:31,324 INFO [train.py:885] (0/2) Epoch 20, batch 4400, loss[loss=0.1946, simple_loss=0.2642, pruned_loss=0.06252, over 13176.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1032, over 26.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3548, pruned_loss=0.1057, over 2781369.73 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0712, over 47187.32 utterances.], batch size: 26, lr: 2.36e-04
+2022-09-18 17:06:00,466 INFO [train.py:885] (0/2) Epoch 20, batch 4450, loss[loss=0.305, simple_loss=0.3723, pruned_loss=0.1189, over 14329.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03898, over 262.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3519, pruned_loss=0.1053, over 2781352.22 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07038, over 44996.67 utterances.], batch size: 262, lr: 2.36e-04
+2022-09-18 17:06:30,506 INFO [train.py:885] (0/2) Epoch 20, batch 4500, loss[loss=0.2282, simple_loss=0.3044, pruned_loss=0.07594, over 14146.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04659, over 109.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3465, pruned_loss=0.1018, over 2780513.16 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06938, over 43383.87 utterances.], batch size: 109, lr: 2.36e-04
+2022-09-18 17:06:59,750 INFO [train.py:885] (0/2) Epoch 20, batch 4550, loss[loss=0.2015, simple_loss=0.2813, pruned_loss=0.06086, over 14209.00 frames. utt_duration=640.1 frames, utt_pad_proportion=0.04608, over 89.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3432, pruned_loss=0.1002, over 2782603.28 frames. utt_duration=266.7 frames, utt_pad_proportion=0.06958, over 41971.82 utterances.], batch size: 89, lr: 2.35e-04
+2022-09-18 17:07:29,634 INFO [train.py:885] (0/2) Epoch 20, batch 4600, loss[loss=0.2582, simple_loss=0.3405, pruned_loss=0.08798, over 14321.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03718, over 180.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3429, pruned_loss=0.1001, over 2784803.01 frames. utt_duration=265 frames, utt_pad_proportion=0.06803, over 42271.59 utterances.], batch size: 180, lr: 2.35e-04
+2022-09-18 17:07:59,091 INFO [train.py:885] (0/2) Epoch 20, batch 4650, loss[loss=0.1872, simple_loss=0.2505, pruned_loss=0.06194, over 13613.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.08484, over 42.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3449, pruned_loss=0.1009, over 2784936.29 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06889, over 43344.49 utterances.], batch size: 42, lr: 2.35e-04
+2022-09-18 17:08:28,403 INFO [train.py:885] (0/2) Epoch 20, batch 4700, loss[loss=0.171, simple_loss=0.2254, pruned_loss=0.05835, over 13366.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08712, over 41.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3503, pruned_loss=0.1042, over 2783024.80 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07156, over 45450.40 utterances.], batch size: 41, lr: 2.35e-04
+2022-09-18 17:08:58,157 INFO [train.py:885] (0/2) Epoch 20, batch 4750, loss[loss=0.232, simple_loss=0.3231, pruned_loss=0.07038, over 14280.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04392, over 141.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3505, pruned_loss=0.1044, over 2783032.71 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06949, over 44948.20 utterances.], batch size: 141, lr: 2.35e-04
+2022-09-18 17:09:27,876 INFO [train.py:885] (0/2) Epoch 20, batch 4800, loss[loss=0.2788, simple_loss=0.3529, pruned_loss=0.1023, over 14390.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03688, over 167.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3539, pruned_loss=0.1064, over 2789079.24 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06638, over 45102.35 utterances.], batch size: 167, lr: 2.35e-04
+2022-09-18 17:09:56,547 INFO [train.py:885] (0/2) Epoch 20, batch 4850, loss[loss=0.2433, simple_loss=0.3241, pruned_loss=0.08123, over 14298.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.04252, over 141.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3533, pruned_loss=0.1066, over 2785980.65 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06925, over 44967.21 utterances.], batch size: 141, lr: 2.35e-04
+2022-09-18 17:10:26,472 INFO [train.py:885] (0/2) Epoch 20, batch 4900, loss[loss=0.5448, simple_loss=0.6122, pruned_loss=0.2387, over 12603.00 frames. utt_duration=63.79 frames, utt_pad_proportion=0.138, over 811.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3567, pruned_loss=0.1087, over 2786106.21 frames. utt_duration=243.6 frames, utt_pad_proportion=0.0692, over 46030.89 utterances.], batch size: 811, lr: 2.35e-04
+2022-09-18 17:10:55,964 INFO [train.py:885] (0/2) Epoch 20, batch 4950, loss[loss=0.2179, simple_loss=0.3019, pruned_loss=0.06689, over 14077.00 frames. utt_duration=576 frames, utt_pad_proportion=0.0557, over 98.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3583, pruned_loss=0.1089, over 2783970.22 frames. utt_duration=238 frames, utt_pad_proportion=0.07062, over 47082.33 utterances.], batch size: 98, lr: 2.35e-04
+2022-09-18 17:11:33,191 INFO [train.py:885] (0/2) Epoch 20, batch 5000, loss[loss=0.2312, simple_loss=0.3082, pruned_loss=0.07706, over 12588.00 frames. utt_duration=2015 frames, utt_pad_proportion=0.1515, over 25.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3613, pruned_loss=0.1101, over 2779388.28 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07261, over 48455.44 utterances.], batch size: 25, lr: 2.35e-04
+2022-09-18 17:12:02,896 INFO [train.py:885] (0/2) Epoch 20, batch 5050, loss[loss=0.3257, simple_loss=0.4036, pruned_loss=0.1239, over 13999.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0563, over 365.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3605, pruned_loss=0.1096, over 2785314.37 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07084, over 48224.94 utterances.], batch size: 365, lr: 2.35e-04
+2022-09-18 17:12:32,470 INFO [train.py:885] (0/2) Epoch 20, batch 5100, loss[loss=0.1851, simple_loss=0.2519, pruned_loss=0.05915, over 14029.00 frames. utt_duration=803.1 frames, utt_pad_proportion=0.0585, over 70.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3566, pruned_loss=0.1076, over 2786969.56 frames. utt_duration=240.2 frames, utt_pad_proportion=0.06971, over 46693.70 utterances.], batch size: 70, lr: 2.35e-04
+2022-09-18 17:13:02,547 INFO [train.py:885] (0/2) Epoch 20, batch 5150, loss[loss=0.3372, simple_loss=0.4324, pruned_loss=0.121, over 13611.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07799, over 560.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3567, pruned_loss=0.1083, over 2780982.78 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07109, over 47382.38 utterances.], batch size: 560, lr: 2.35e-04
+2022-09-18 17:13:31,475 INFO [train.py:885] (0/2) Epoch 20, batch 5200, loss[loss=0.261, simple_loss=0.3113, pruned_loss=0.1054, over 14155.00 frames. utt_duration=637.7 frames, utt_pad_proportion=0.04963, over 89.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.354, pruned_loss=0.1068, over 2784910.43 frames. utt_duration=238.8 frames, utt_pad_proportion=0.06942, over 46948.05 utterances.], batch size: 89, lr: 2.35e-04
+2022-09-18 17:14:00,567 INFO [train.py:885] (0/2) Epoch 20, batch 5250, loss[loss=0.2768, simple_loss=0.3363, pruned_loss=0.1087, over 14249.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04202, over 180.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3523, pruned_loss=0.1067, over 2775152.60 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07194, over 46805.48 utterances.], batch size: 180, lr: 2.35e-04
+2022-09-18 17:14:30,227 INFO [train.py:885] (0/2) Epoch 20, batch 5300, loss[loss=0.2535, simple_loss=0.2916, pruned_loss=0.1077, over 13787.00 frames. utt_duration=920.7 frames, utt_pad_proportion=0.0756, over 60.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3497, pruned_loss=0.1057, over 2776033.95 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07134, over 45857.70 utterances.], batch size: 60, lr: 2.35e-04
+2022-09-18 17:14:59,811 INFO [train.py:885] (0/2) Epoch 20, batch 5350, loss[loss=0.2994, simple_loss=0.3989, pruned_loss=0.09997, over 13652.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08172, over 478.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3467, pruned_loss=0.1037, over 2773576.54 frames. utt_duration=247 frames, utt_pad_proportion=0.07109, over 45187.95 utterances.], batch size: 478, lr: 2.35e-04
+2022-09-18 17:15:29,644 INFO [train.py:885] (0/2) Epoch 20, batch 5400, loss[loss=0.1646, simple_loss=0.2307, pruned_loss=0.04932, over 13626.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.08437, over 42.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3486, pruned_loss=0.1039, over 2772335.98 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07227, over 46023.15 utterances.], batch size: 42, lr: 2.35e-04
+2022-09-18 17:15:59,265 INFO [train.py:885] (0/2) Epoch 20, batch 5450, loss[loss=0.3259, simple_loss=0.4165, pruned_loss=0.1176, over 13696.00 frames. utt_duration=116.4 frames, utt_pad_proportion=0.0763, over 477.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3471, pruned_loss=0.1028, over 2775147.37 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07272, over 44939.06 utterances.], batch size: 477, lr: 2.35e-04
+2022-09-18 17:16:29,321 INFO [train.py:885] (0/2) Epoch 20, batch 5500, loss[loss=0.169, simple_loss=0.2391, pruned_loss=0.04945, over 13972.00 frames. utt_duration=811.7 frames, utt_pad_proportion=0.0551, over 69.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3512, pruned_loss=0.1053, over 2778384.82 frames. utt_duration=242.2 frames, utt_pad_proportion=0.0729, over 46157.99 utterances.], batch size: 69, lr: 2.35e-04
+2022-09-18 17:16:58,915 INFO [train.py:885] (0/2) Epoch 20, batch 5550, loss[loss=0.3004, simple_loss=0.3963, pruned_loss=0.1023, over 13634.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08011, over 477.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3534, pruned_loss=0.1065, over 2780729.70 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0722, over 46865.31 utterances.], batch size: 477, lr: 2.35e-04
+2022-09-18 17:17:28,932 INFO [train.py:885] (0/2) Epoch 20, batch 5600, loss[loss=0.218, simple_loss=0.2695, pruned_loss=0.08326, over 12089.00 frames. utt_duration=2016 frames, utt_pad_proportion=0.17, over 24.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3538, pruned_loss=0.1067, over 2771536.61 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07384, over 47106.99 utterances.], batch size: 24, lr: 2.35e-04
+2022-09-18 17:17:58,587 INFO [train.py:885] (0/2) Epoch 20, batch 5650, loss[loss=0.1908, simple_loss=0.259, pruned_loss=0.06134, over 13786.00 frames. utt_duration=920.6 frames, utt_pad_proportion=0.07294, over 60.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3571, pruned_loss=0.1082, over 2771890.96 frames. utt_duration=229.1 frames, utt_pad_proportion=0.07547, over 48719.27 utterances.], batch size: 60, lr: 2.35e-04
+2022-09-18 17:18:28,372 INFO [train.py:885] (0/2) Epoch 20, batch 5700, loss[loss=0.1975, simple_loss=0.2507, pruned_loss=0.07213, over 13791.00 frames. utt_duration=921.1 frames, utt_pad_proportion=0.07242, over 60.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3548, pruned_loss=0.1069, over 2773914.27 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07476, over 47894.74 utterances.], batch size: 60, lr: 2.35e-04
+2022-09-18 17:18:57,869 INFO [train.py:885] (0/2) Epoch 20, batch 5750, loss[loss=0.2725, simple_loss=0.3653, pruned_loss=0.08979, over 13989.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05717, over 365.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.358, pruned_loss=0.1086, over 2775600.57 frames. utt_duration=228.7 frames, utt_pad_proportion=0.07579, over 48853.66 utterances.], batch size: 365, lr: 2.35e-04
+2022-09-18 17:19:27,588 INFO [train.py:885] (0/2) Epoch 20, batch 5800, loss[loss=0.2663, simple_loss=0.3419, pruned_loss=0.09537, over 14210.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04833, over 141.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3538, pruned_loss=0.1069, over 2779021.88 frames. utt_duration=240.1 frames, utt_pad_proportion=0.072, over 46580.48 utterances.], batch size: 141, lr: 2.35e-04
+2022-09-18 17:19:57,505 INFO [train.py:885] (0/2) Epoch 20, batch 5850, loss[loss=0.3038, simple_loss=0.3714, pruned_loss=0.1181, over 14333.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03765, over 283.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3501, pruned_loss=0.1051, over 2779539.87 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07114, over 45247.55 utterances.], batch size: 283, lr: 2.35e-04
+2022-09-18 17:20:26,974 INFO [train.py:885] (0/2) Epoch 20, batch 5900, loss[loss=0.7063, simple_loss=0.7257, pruned_loss=0.3435, over 12537.00 frames. utt_duration=63.5 frames, utt_pad_proportion=0.1419, over 810.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3564, pruned_loss=0.1086, over 2778277.65 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07397, over 47226.66 utterances.], batch size: 810, lr: 2.35e-04
+2022-09-18 17:20:56,680 INFO [train.py:885] (0/2) Epoch 20, batch 5950, loss[loss=0.3366, simple_loss=0.4278, pruned_loss=0.1227, over 13617.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08183, over 477.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3535, pruned_loss=0.1077, over 2779852.74 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07285, over 45836.34 utterances.], batch size: 477, lr: 2.35e-04
+2022-09-18 17:21:26,116 INFO [train.py:885] (0/2) Epoch 20, batch 6000, loss[loss=0.2648, simple_loss=0.3243, pruned_loss=0.1026, over 14315.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03928, over 130.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3523, pruned_loss=0.1069, over 2781420.56 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07199, over 45945.23 utterances.], batch size: 130, lr: 2.35e-04
+2022-09-18 17:21:26,117 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 17:21:30,777 INFO [train.py:914] (0/2) Epoch 20, validation: loss=0.1981, simple_loss=0.2755, pruned_loss=0.06032, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 17:22:00,915 INFO [train.py:885] (0/2) Epoch 20, batch 6050, loss[loss=0.2108, simple_loss=0.2779, pruned_loss=0.07186, over 12276.00 frames. utt_duration=2047 frames, utt_pad_proportion=0.1644, over 24.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3535, pruned_loss=0.1076, over 2778547.68 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07382, over 46076.96 utterances.], batch size: 24, lr: 2.35e-04
+2022-09-18 17:22:30,793 INFO [train.py:885] (0/2) Epoch 20, batch 6100, loss[loss=0.3385, simple_loss=0.3931, pruned_loss=0.1419, over 14373.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03267, over 244.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3512, pruned_loss=0.1062, over 2784313.39 frames. utt_duration=247.2 frames, utt_pad_proportion=0.0708, over 45327.95 utterances.], batch size: 244, lr: 2.35e-04
+2022-09-18 17:22:59,975 INFO [train.py:885] (0/2) Epoch 20, batch 6150, loss[loss=0.1995, simple_loss=0.2682, pruned_loss=0.0654, over 13840.00 frames. utt_duration=924.1 frames, utt_pad_proportion=0.07124, over 60.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3515, pruned_loss=0.1062, over 2783185.30 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07256, over 44910.04 utterances.], batch size: 60, lr: 2.35e-04
+2022-09-18 17:23:29,550 INFO [train.py:885] (0/2) Epoch 20, batch 6200, loss[loss=0.1644, simple_loss=0.219, pruned_loss=0.05489, over 13099.00 frames. utt_duration=1589 frames, utt_pad_proportion=0.1086, over 33.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3544, pruned_loss=0.1074, over 2781474.64 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07378, over 46626.36 utterances.], batch size: 33, lr: 2.35e-04
+2022-09-18 17:23:58,868 INFO [train.py:885] (0/2) Epoch 20, batch 6250, loss[loss=0.2114, simple_loss=0.2825, pruned_loss=0.07016, over 13692.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07436, over 50.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3501, pruned_loss=0.1052, over 2783525.75 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07168, over 44500.87 utterances.], batch size: 50, lr: 2.35e-04
+2022-09-18 17:24:28,403 INFO [train.py:885] (0/2) Epoch 20, batch 6300, loss[loss=0.2236, simple_loss=0.298, pruned_loss=0.07457, over 14175.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.04486, over 109.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3496, pruned_loss=0.1041, over 2784513.90 frames. utt_duration=251 frames, utt_pad_proportion=0.07142, over 44639.71 utterances.], batch size: 109, lr: 2.35e-04
+2022-09-18 17:24:57,712 INFO [train.py:885] (0/2) Epoch 20, batch 6350, loss[loss=0.2352, simple_loss=0.3131, pruned_loss=0.0787, over 14291.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.04249, over 141.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3526, pruned_loss=0.1062, over 2786051.51 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07103, over 45660.92 utterances.], batch size: 141, lr: 2.35e-04
+2022-09-18 17:25:27,294 INFO [train.py:885] (0/2) Epoch 20, batch 6400, loss[loss=0.246, simple_loss=0.329, pruned_loss=0.08152, over 14277.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03956, over 180.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3528, pruned_loss=0.1067, over 2781158.56 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07206, over 45816.42 utterances.], batch size: 180, lr: 2.35e-04
+2022-09-18 17:25:56,696 INFO [train.py:885] (0/2) Epoch 20, batch 6450, loss[loss=0.3565, simple_loss=0.4185, pruned_loss=0.1473, over 14317.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0388, over 283.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3544, pruned_loss=0.1076, over 2779065.28 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0741, over 46567.02 utterances.], batch size: 283, lr: 2.35e-04
+2022-09-18 17:26:26,826 INFO [train.py:885] (0/2) Epoch 20, batch 6500, loss[loss=0.1993, simple_loss=0.2786, pruned_loss=0.05994, over 14200.00 frames. utt_duration=639.8 frames, utt_pad_proportion=0.04799, over 89.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3524, pruned_loss=0.1062, over 2780957.16 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07218, over 46271.61 utterances.], batch size: 89, lr: 2.35e-04
+2022-09-18 17:26:56,389 INFO [train.py:885] (0/2) Epoch 20, batch 6550, loss[loss=0.2571, simple_loss=0.3318, pruned_loss=0.09123, over 14343.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03938, over 167.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3506, pruned_loss=0.105, over 2780929.92 frames. utt_duration=242 frames, utt_pad_proportion=0.07216, over 46258.22 utterances.], batch size: 167, lr: 2.35e-04
+2022-09-18 17:27:26,282 INFO [train.py:885] (0/2) Epoch 20, batch 6600, loss[loss=0.2219, simple_loss=0.2941, pruned_loss=0.07487, over 14080.00 frames. utt_duration=576.2 frames, utt_pad_proportion=0.0539, over 98.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3528, pruned_loss=0.1058, over 2782577.61 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07085, over 47032.70 utterances.], batch size: 98, lr: 2.34e-04
+2022-09-18 17:27:56,132 INFO [train.py:885] (0/2) Epoch 20, batch 6650, loss[loss=0.3131, simple_loss=0.402, pruned_loss=0.1121, over 13812.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06911, over 411.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3532, pruned_loss=0.1059, over 2778111.83 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07316, over 47523.25 utterances.], batch size: 411, lr: 2.34e-04
+2022-09-18 17:28:25,893 INFO [train.py:885] (0/2) Epoch 20, batch 6700, loss[loss=0.2103, simple_loss=0.2903, pruned_loss=0.06513, over 13742.00 frames. utt_duration=798.1 frames, utt_pad_proportion=0.07093, over 69.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3514, pruned_loss=0.105, over 2777753.35 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07292, over 46629.57 utterances.], batch size: 69, lr: 2.34e-04
+2022-09-18 17:28:55,677 INFO [train.py:885] (0/2) Epoch 20, batch 6750, loss[loss=0.3283, simple_loss=0.4044, pruned_loss=0.1261, over 13995.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05663, over 365.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3499, pruned_loss=0.1048, over 2783483.75 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07046, over 45428.65 utterances.], batch size: 365, lr: 2.34e-04
+2022-09-18 17:29:25,563 INFO [train.py:885] (0/2) Epoch 20, batch 6800, loss[loss=0.2492, simple_loss=0.3409, pruned_loss=0.07876, over 14354.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03848, over 167.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3501, pruned_loss=0.1044, over 2777374.72 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07021, over 45836.50 utterances.], batch size: 167, lr: 2.34e-04
+2022-09-18 17:29:54,757 INFO [train.py:885] (0/2) Epoch 20, batch 6850, loss[loss=0.2369, simple_loss=0.3163, pruned_loss=0.07875, over 14222.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04155, over 109.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3493, pruned_loss=0.1039, over 2776740.03 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06988, over 45185.81 utterances.], batch size: 109, lr: 2.34e-04
+2022-09-18 17:30:24,084 INFO [train.py:885] (0/2) Epoch 20, batch 6900, loss[loss=0.2701, simple_loss=0.3491, pruned_loss=0.09553, over 14226.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.04339, over 225.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.349, pruned_loss=0.1032, over 2778126.34 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06988, over 45883.51 utterances.], batch size: 225, lr: 2.34e-04
+2022-09-18 17:30:53,866 INFO [train.py:885] (0/2) Epoch 20, batch 6950, loss[loss=0.2553, simple_loss=0.3233, pruned_loss=0.09365, over 14278.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04347, over 141.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3557, pruned_loss=0.1068, over 2774549.52 frames. utt_duration=229 frames, utt_pad_proportion=0.07487, over 48785.40 utterances.], batch size: 141, lr: 2.34e-04
+2022-09-18 17:31:23,634 INFO [train.py:885] (0/2) Epoch 20, batch 7000, loss[loss=0.2224, simple_loss=0.2896, pruned_loss=0.07759, over 14293.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04339, over 110.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3531, pruned_loss=0.1061, over 2781119.53 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07143, over 46499.71 utterances.], batch size: 110, lr: 2.34e-04
+2022-09-18 17:31:53,702 INFO [train.py:885] (0/2) Epoch 20, batch 7050, loss[loss=0.3273, simple_loss=0.3892, pruned_loss=0.1327, over 14331.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03466, over 244.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3553, pruned_loss=0.1072, over 2777476.31 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07399, over 47824.26 utterances.], batch size: 244, lr: 2.34e-04
+2022-09-18 17:32:22,639 INFO [train.py:885] (0/2) Epoch 20, batch 7100, loss[loss=0.2526, simple_loss=0.2981, pruned_loss=0.1035, over 14011.00 frames. utt_duration=710.9 frames, utt_pad_proportion=0.05716, over 79.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3546, pruned_loss=0.1073, over 2784415.90 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07136, over 46191.59 utterances.], batch size: 79, lr: 2.34e-04
+2022-09-18 17:32:52,552 INFO [train.py:885] (0/2) Epoch 20, batch 7150, loss[loss=0.5522, simple_loss=0.6237, pruned_loss=0.2403, over 12473.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1466, over 811.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3506, pruned_loss=0.1054, over 2782776.66 frames. utt_duration=246.2 frames, utt_pad_proportion=0.0714, over 45483.78 utterances.], batch size: 811, lr: 2.34e-04
+2022-09-18 17:33:21,880 INFO [train.py:885] (0/2) Epoch 20, batch 7200, loss[loss=0.2908, simple_loss=0.3692, pruned_loss=0.1062, over 14321.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03815, over 210.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3483, pruned_loss=0.1045, over 2781018.87 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06924, over 44533.64 utterances.], batch size: 210, lr: 2.34e-04
+2022-09-18 17:33:51,596 INFO [train.py:885] (0/2) Epoch 20, batch 7250, loss[loss=0.2977, simple_loss=0.3737, pruned_loss=0.1108, over 14345.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.0358, over 226.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3476, pruned_loss=0.104, over 2785126.77 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06976, over 43990.55 utterances.], batch size: 226, lr: 2.34e-04
+2022-09-18 17:34:20,969 INFO [train.py:885] (0/2) Epoch 20, batch 7300, loss[loss=0.1957, simple_loss=0.2596, pruned_loss=0.06589, over 13178.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.09911, over 41.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3468, pruned_loss=0.1034, over 2781028.97 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07064, over 43776.40 utterances.], batch size: 41, lr: 2.34e-04
+2022-09-18 17:34:51,246 INFO [train.py:885] (0/2) Epoch 20, batch 7350, loss[loss=0.3007, simple_loss=0.3738, pruned_loss=0.1138, over 14343.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03825, over 244.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3504, pruned_loss=0.1049, over 2779181.40 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07228, over 45582.43 utterances.], batch size: 244, lr: 2.34e-04
+2022-09-18 17:35:20,410 INFO [train.py:885] (0/2) Epoch 20, batch 7400, loss[loss=0.2824, simple_loss=0.3518, pruned_loss=0.1065, over 14329.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03701, over 180.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3489, pruned_loss=0.1043, over 2783015.52 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07248, over 44631.26 utterances.], batch size: 180, lr: 2.34e-04
+2022-09-18 17:35:49,989 INFO [train.py:885] (0/2) Epoch 20, batch 7450, loss[loss=0.303, simple_loss=0.3969, pruned_loss=0.1046, over 13728.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07399, over 411.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3503, pruned_loss=0.105, over 2781865.25 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07253, over 45170.88 utterances.], batch size: 411, lr: 2.34e-04
+2022-09-18 17:36:19,011 INFO [train.py:885] (0/2) Epoch 20, batch 7500, loss[loss=0.2377, simple_loss=0.3067, pruned_loss=0.08437, over 14226.00 frames. utt_duration=523.7 frames, utt_pad_proportion=0.04091, over 109.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3513, pruned_loss=0.1055, over 2781828.54 frames. utt_duration=247.4 frames, utt_pad_proportion=0.0713, over 45250.44 utterances.], batch size: 109, lr: 2.34e-04
+2022-09-18 17:36:49,735 INFO [train.py:885] (0/2) Epoch 20, batch 7550, loss[loss=0.2801, simple_loss=0.359, pruned_loss=0.1006, over 14355.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03561, over 210.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3545, pruned_loss=0.1069, over 2779552.10 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07276, over 46786.37 utterances.], batch size: 210, lr: 2.34e-04
+2022-09-18 17:37:19,721 INFO [train.py:885] (0/2) Epoch 20, batch 7600, loss[loss=0.5352, simple_loss=0.6151, pruned_loss=0.2276, over 12470.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1469, over 810.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3516, pruned_loss=0.105, over 2775613.53 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07443, over 46392.53 utterances.], batch size: 810, lr: 2.34e-04
+2022-09-18 17:37:49,276 INFO [train.py:885] (0/2) Epoch 20, batch 7650, loss[loss=0.3974, simple_loss=0.4311, pruned_loss=0.1818, over 14228.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04298, over 306.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3507, pruned_loss=0.105, over 2779260.49 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07127, over 45550.47 utterances.], batch size: 306, lr: 2.34e-04
+2022-09-18 17:38:19,097 INFO [train.py:885] (0/2) Epoch 20, batch 7700, loss[loss=0.2234, simple_loss=0.2952, pruned_loss=0.07576, over 14116.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.05146, over 98.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3531, pruned_loss=0.1065, over 2778481.80 frames. utt_duration=241 frames, utt_pad_proportion=0.07276, over 46399.70 utterances.], batch size: 98, lr: 2.34e-04
+2022-09-18 17:38:48,678 INFO [train.py:885] (0/2) Epoch 20, batch 7750, loss[loss=0.296, simple_loss=0.383, pruned_loss=0.1045, over 13997.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05518, over 365.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3556, pruned_loss=0.1079, over 2779249.42 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07318, over 47553.11 utterances.], batch size: 365, lr: 2.34e-04
+2022-09-18 17:39:18,257 INFO [train.py:885] (0/2) Epoch 20, batch 7800, loss[loss=0.1831, simple_loss=0.2394, pruned_loss=0.0634, over 13007.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1138, over 33.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.354, pruned_loss=0.1066, over 2781564.34 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07211, over 46753.33 utterances.], batch size: 33, lr: 2.34e-04
+2022-09-18 17:39:47,566 INFO [train.py:885] (0/2) Epoch 20, batch 7850, loss[loss=0.1613, simple_loss=0.2136, pruned_loss=0.05453, over 13132.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1089, over 33.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3518, pruned_loss=0.1058, over 2780816.03 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07189, over 45803.12 utterances.], batch size: 33, lr: 2.34e-04
+2022-09-18 17:40:17,355 INFO [train.py:885] (0/2) Epoch 20, batch 7900, loss[loss=0.2048, simple_loss=0.2705, pruned_loss=0.06958, over 13853.00 frames. utt_duration=925 frames, utt_pad_proportion=0.07123, over 60.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3505, pruned_loss=0.1051, over 2780297.15 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07275, over 45905.55 utterances.], batch size: 60, lr: 2.34e-04
+2022-09-18 17:40:46,789 INFO [train.py:885] (0/2) Epoch 20, batch 7950, loss[loss=0.1476, simple_loss=0.1927, pruned_loss=0.05128, over 12793.00 frames. utt_duration=2048 frames, utt_pad_proportion=0.1141, over 25.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3498, pruned_loss=0.1041, over 2778282.15 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07308, over 46167.07 utterances.], batch size: 25, lr: 2.34e-04
+2022-09-18 17:41:16,199 INFO [train.py:885] (0/2) Epoch 20, batch 8000, loss[loss=0.3451, simple_loss=0.409, pruned_loss=0.1406, over 14362.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03295, over 244.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.349, pruned_loss=0.1042, over 2780937.62 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07144, over 45538.16 utterances.], batch size: 244, lr: 2.34e-04
+2022-09-18 17:41:46,095 INFO [train.py:885] (0/2) Epoch 20, batch 8050, loss[loss=0.2103, simple_loss=0.2769, pruned_loss=0.07182, over 14214.00 frames. utt_duration=640.2 frames, utt_pad_proportion=0.04441, over 89.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3516, pruned_loss=0.1057, over 2784839.01 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07127, over 45860.96 utterances.], batch size: 89, lr: 2.34e-04
+2022-09-18 17:42:15,792 INFO [train.py:885] (0/2) Epoch 20, batch 8100, loss[loss=0.3294, simple_loss=0.3893, pruned_loss=0.1347, over 14218.00 frames. utt_duration=254.3 frames, utt_pad_proportion=0.04381, over 225.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3538, pruned_loss=0.1071, over 2782568.63 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07282, over 46993.39 utterances.], batch size: 225, lr: 2.34e-04
+2022-09-18 17:42:45,827 INFO [train.py:885] (0/2) Epoch 20, batch 8150, loss[loss=0.401, simple_loss=0.4566, pruned_loss=0.1726, over 13973.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05737, over 365.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3533, pruned_loss=0.1071, over 2785009.05 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07067, over 46579.39 utterances.], batch size: 365, lr: 2.34e-04
+2022-09-18 17:43:15,552 INFO [train.py:885] (0/2) Epoch 20, batch 8200, loss[loss=0.3395, simple_loss=0.432, pruned_loss=0.1235, over 13602.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08346, over 477.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3523, pruned_loss=0.1055, over 2785348.34 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07031, over 46295.77 utterances.], batch size: 477, lr: 2.34e-04
+2022-09-18 17:43:27,136 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-248000.pt
+2022-09-18 17:43:46,090 INFO [train.py:885] (0/2) Epoch 20, batch 8250, loss[loss=0.3806, simple_loss=0.4742, pruned_loss=0.1435, over 13099.00 frames. utt_duration=81.73 frames, utt_pad_proportion=0.1116, over 653.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.349, pruned_loss=0.1041, over 2782587.32 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07058, over 45565.61 utterances.], batch size: 653, lr: 2.34e-04
+2022-09-18 17:44:15,452 INFO [train.py:885] (0/2) Epoch 20, batch 8300, loss[loss=0.2705, simple_loss=0.3542, pruned_loss=0.0934, over 14362.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03252, over 244.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.352, pruned_loss=0.1057, over 2783219.06 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07078, over 45640.97 utterances.], batch size: 244, lr: 2.34e-04
+2022-09-18 17:44:45,594 INFO [train.py:885] (0/2) Epoch 20, batch 8350, loss[loss=0.2233, simple_loss=0.2985, pruned_loss=0.07409, over 13860.00 frames. utt_duration=804.9 frames, utt_pad_proportion=0.063, over 69.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3541, pruned_loss=0.1073, over 2784822.99 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07057, over 46541.24 utterances.], batch size: 69, lr: 2.34e-04
+2022-09-18 17:45:14,461 INFO [train.py:885] (0/2) Epoch 20, batch 8400, loss[loss=0.2352, simple_loss=0.2954, pruned_loss=0.08751, over 14221.00 frames. utt_duration=523.2 frames, utt_pad_proportion=0.04177, over 109.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3516, pruned_loss=0.106, over 2790448.80 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06834, over 45303.32 utterances.], batch size: 109, lr: 2.34e-04
+2022-09-18 17:45:44,269 INFO [train.py:885] (0/2) Epoch 20, batch 8450, loss[loss=0.2373, simple_loss=0.3084, pruned_loss=0.08304, over 14179.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04436, over 109.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3529, pruned_loss=0.1064, over 2783569.60 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0723, over 46394.03 utterances.], batch size: 109, lr: 2.34e-04
+2022-09-18 17:46:13,310 INFO [train.py:885] (0/2) Epoch 20, batch 8500, loss[loss=0.2248, simple_loss=0.3019, pruned_loss=0.07386, over 14073.00 frames. utt_duration=713.8 frames, utt_pad_proportion=0.05582, over 79.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3495, pruned_loss=0.105, over 2780091.41 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07143, over 45145.59 utterances.], batch size: 79, lr: 2.34e-04
+2022-09-18 17:46:43,305 INFO [train.py:885] (0/2) Epoch 20, batch 8550, loss[loss=0.3492, simple_loss=0.4409, pruned_loss=0.1288, over 13606.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07874, over 560.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3507, pruned_loss=0.1054, over 2783248.30 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06993, over 45262.90 utterances.], batch size: 560, lr: 2.34e-04
+2022-09-18 17:47:13,081 INFO [train.py:885] (0/2) Epoch 20, batch 8600, loss[loss=0.3227, simple_loss=0.3791, pruned_loss=0.1331, over 14317.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04118, over 167.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3534, pruned_loss=0.1069, over 2782120.33 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07009, over 46721.04 utterances.], batch size: 167, lr: 2.34e-04
+2022-09-18 17:47:42,660 INFO [train.py:885] (0/2) Epoch 20, batch 8650, loss[loss=0.291, simple_loss=0.3908, pruned_loss=0.09561, over 13720.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07544, over 411.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3583, pruned_loss=0.1086, over 2782019.54 frames. utt_duration=228.9 frames, utt_pad_proportion=0.07265, over 48933.77 utterances.], batch size: 411, lr: 2.34e-04
+2022-09-18 17:48:11,932 INFO [train.py:885] (0/2) Epoch 20, batch 8700, loss[loss=0.2883, simple_loss=0.3538, pruned_loss=0.1114, over 14321.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03986, over 154.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.355, pruned_loss=0.1073, over 2783024.36 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07003, over 46947.31 utterances.], batch size: 154, lr: 2.34e-04
+2022-09-18 17:48:41,193 INFO [train.py:885] (0/2) Epoch 20, batch 8750, loss[loss=0.1683, simple_loss=0.2252, pruned_loss=0.05566, over 13027.00 frames. utt_duration=1580 frames, utt_pad_proportion=0.1076, over 33.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3518, pruned_loss=0.1062, over 2781855.44 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07023, over 45103.38 utterances.], batch size: 33, lr: 2.33e-04
+2022-09-18 17:49:10,971 INFO [train.py:885] (0/2) Epoch 20, batch 8800, loss[loss=0.2413, simple_loss=0.308, pruned_loss=0.08729, over 14127.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.04745, over 109.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3518, pruned_loss=0.1059, over 2783274.79 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06829, over 45394.77 utterances.], batch size: 109, lr: 2.33e-04
+2022-09-18 17:49:40,461 INFO [train.py:885] (0/2) Epoch 20, batch 8850, loss[loss=0.2713, simple_loss=0.3466, pruned_loss=0.09802, over 14352.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03623, over 226.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3465, pruned_loss=0.1036, over 2777427.85 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06778, over 43618.72 utterances.], batch size: 226, lr: 2.33e-04
+2022-09-18 17:50:10,138 INFO [train.py:885] (0/2) Epoch 20, batch 8900, loss[loss=0.1535, simple_loss=0.2111, pruned_loss=0.048, over 13338.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.09157, over 33.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.351, pruned_loss=0.1064, over 2779691.78 frames. utt_duration=250.3 frames, utt_pad_proportion=0.0683, over 44686.69 utterances.], batch size: 33, lr: 2.33e-04
+2022-09-18 17:50:40,195 INFO [train.py:885] (0/2) Epoch 20, batch 8950, loss[loss=0.2205, simple_loss=0.2802, pruned_loss=0.08046, over 13792.00 frames. utt_duration=920.6 frames, utt_pad_proportion=0.07567, over 60.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3501, pruned_loss=0.105, over 2776445.34 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07127, over 45490.88 utterances.], batch size: 60, lr: 2.33e-04
+2022-09-18 17:51:09,416 INFO [train.py:885] (0/2) Epoch 20, batch 9000, loss[loss=0.2792, simple_loss=0.3526, pruned_loss=0.103, over 14283.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04143, over 262.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3446, pruned_loss=0.1018, over 2783547.97 frames. utt_duration=259 frames, utt_pad_proportion=0.06801, over 43232.56 utterances.], batch size: 262, lr: 2.33e-04
+2022-09-18 17:51:09,417 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 17:51:14,116 INFO [train.py:914] (0/2) Epoch 20, validation: loss=0.1951, simple_loss=0.2728, pruned_loss=0.05873, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 17:51:44,760 INFO [train.py:885] (0/2) Epoch 20, batch 9050, loss[loss=0.1634, simple_loss=0.2267, pruned_loss=0.05002, over 13479.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09333, over 50.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3471, pruned_loss=0.103, over 2783524.09 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06984, over 44179.34 utterances.], batch size: 50, lr: 2.33e-04
+2022-09-18 17:52:13,812 INFO [train.py:885] (0/2) Epoch 20, batch 9100, loss[loss=0.4091, simple_loss=0.447, pruned_loss=0.1856, over 14227.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04378, over 335.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3487, pruned_loss=0.1035, over 2787374.33 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06856, over 44788.39 utterances.], batch size: 335, lr: 2.33e-04
+2022-09-18 17:52:42,857 INFO [train.py:885] (0/2) Epoch 20, batch 9150, loss[loss=0.3312, simple_loss=0.4276, pruned_loss=0.1174, over 13641.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07705, over 560.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3459, pruned_loss=0.1022, over 2784622.99 frames. utt_duration=256.5 frames, utt_pad_proportion=0.0668, over 43681.48 utterances.], batch size: 560, lr: 2.33e-04
+2022-09-18 17:53:12,241 INFO [train.py:885] (0/2) Epoch 20, batch 9200, loss[loss=0.146, simple_loss=0.192, pruned_loss=0.04997, over 13156.00 frames. utt_duration=2107 frames, utt_pad_proportion=0.1193, over 25.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3482, pruned_loss=0.1034, over 2783216.14 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06801, over 44595.75 utterances.], batch size: 25, lr: 2.33e-04
+2022-09-18 17:53:41,815 INFO [train.py:885] (0/2) Epoch 20, batch 9250, loss[loss=0.149, simple_loss=0.2004, pruned_loss=0.04882, over 13250.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.09274, over 33.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3469, pruned_loss=0.1031, over 2784059.10 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06753, over 44440.14 utterances.], batch size: 33, lr: 2.33e-04
+2022-09-18 17:54:11,473 INFO [train.py:885] (0/2) Epoch 20, batch 9300, loss[loss=0.1322, simple_loss=0.1844, pruned_loss=0.04004, over 12462.00 frames. utt_duration=2078 frames, utt_pad_proportion=0.1632, over 24.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3498, pruned_loss=0.104, over 2784715.52 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06835, over 45857.53 utterances.], batch size: 24, lr: 2.33e-04
+2022-09-18 17:54:40,454 INFO [train.py:885] (0/2) Epoch 20, batch 9350, loss[loss=0.3059, simple_loss=0.3659, pruned_loss=0.123, over 14285.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03989, over 180.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3485, pruned_loss=0.1036, over 2783734.58 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06858, over 45606.02 utterances.], batch size: 180, lr: 2.33e-04
+2022-09-18 17:55:10,064 INFO [train.py:885] (0/2) Epoch 20, batch 9400, loss[loss=0.1932, simple_loss=0.2491, pruned_loss=0.06864, over 13039.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1205, over 33.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3489, pruned_loss=0.1041, over 2782439.69 frames. utt_duration=249 frames, utt_pad_proportion=0.06789, over 44954.85 utterances.], batch size: 33, lr: 2.33e-04
+2022-09-18 17:55:39,179 INFO [train.py:885] (0/2) Epoch 20, batch 9450, loss[loss=0.1773, simple_loss=0.2434, pruned_loss=0.05558, over 13781.00 frames. utt_duration=800.5 frames, utt_pad_proportion=0.06809, over 69.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3487, pruned_loss=0.1033, over 2778620.02 frames. utt_duration=245 frames, utt_pad_proportion=0.06898, over 45641.00 utterances.], batch size: 69, lr: 2.33e-04
+2022-09-18 17:56:09,010 INFO [train.py:885] (0/2) Epoch 20, batch 9500, loss[loss=0.2424, simple_loss=0.3064, pruned_loss=0.08921, over 14143.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04673, over 109.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3499, pruned_loss=0.1035, over 2779561.99 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07142, over 46012.81 utterances.], batch size: 109, lr: 2.33e-04
+2022-09-18 17:56:38,089 INFO [train.py:885] (0/2) Epoch 20, batch 9550, loss[loss=0.3399, simple_loss=0.4235, pruned_loss=0.1281, over 13722.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07493, over 411.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3495, pruned_loss=0.1031, over 2782984.44 frames. utt_duration=244 frames, utt_pad_proportion=0.07042, over 45898.72 utterances.], batch size: 411, lr: 2.33e-04
+2022-09-18 17:57:07,911 INFO [train.py:885] (0/2) Epoch 20, batch 9600, loss[loss=0.204, simple_loss=0.29, pruned_loss=0.05902, over 13857.00 frames. utt_duration=804.7 frames, utt_pad_proportion=0.06214, over 69.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3514, pruned_loss=0.1046, over 2779995.61 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07071, over 46201.53 utterances.], batch size: 69, lr: 2.33e-04
+2022-09-18 17:57:37,151 INFO [train.py:885] (0/2) Epoch 20, batch 9650, loss[loss=0.357, simple_loss=0.4067, pruned_loss=0.1536, over 14242.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04262, over 335.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3524, pruned_loss=0.1055, over 2775929.25 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07217, over 46705.69 utterances.], batch size: 335, lr: 2.33e-04
+2022-09-18 17:58:06,911 INFO [train.py:885] (0/2) Epoch 20, batch 9700, loss[loss=0.273, simple_loss=0.3503, pruned_loss=0.09791, over 14287.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04193, over 154.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3501, pruned_loss=0.1045, over 2778175.67 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06962, over 45461.18 utterances.], batch size: 154, lr: 2.33e-04
+2022-09-18 17:58:36,562 INFO [train.py:885] (0/2) Epoch 20, batch 9750, loss[loss=0.2183, simple_loss=0.2852, pruned_loss=0.07571, over 13896.00 frames. utt_duration=807 frames, utt_pad_proportion=0.06055, over 69.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.352, pruned_loss=0.1053, over 2782689.01 frames. utt_duration=243.1 frames, utt_pad_proportion=0.06878, over 46066.77 utterances.], batch size: 69, lr: 2.33e-04
+2022-09-18 17:59:14,287 INFO [train.py:885] (0/2) Epoch 20, batch 9800, loss[loss=0.2346, simple_loss=0.3114, pruned_loss=0.07889, over 14133.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05057, over 98.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3495, pruned_loss=0.1036, over 2788032.01 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06751, over 44811.57 utterances.], batch size: 98, lr: 2.33e-04
+2022-09-18 17:59:44,030 INFO [train.py:885] (0/2) Epoch 20, batch 9850, loss[loss=0.2988, simple_loss=0.387, pruned_loss=0.1053, over 13996.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05583, over 365.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3479, pruned_loss=0.1034, over 2787448.50 frames. utt_duration=257.9 frames, utt_pad_proportion=0.0656, over 43484.14 utterances.], batch size: 365, lr: 2.33e-04
+2022-09-18 18:00:13,979 INFO [train.py:885] (0/2) Epoch 20, batch 9900, loss[loss=0.2634, simple_loss=0.3457, pruned_loss=0.09061, over 14285.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03983, over 180.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3534, pruned_loss=0.1064, over 2781358.68 frames. utt_duration=242.4 frames, utt_pad_proportion=0.0724, over 46183.51 utterances.], batch size: 180, lr: 2.33e-04
+2022-09-18 18:00:43,309 INFO [train.py:885] (0/2) Epoch 20, batch 9950, loss[loss=0.1859, simple_loss=0.247, pruned_loss=0.06241, over 14048.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06151, over 70.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3524, pruned_loss=0.1061, over 2784664.46 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07114, over 45200.59 utterances.], batch size: 70, lr: 2.33e-04
+2022-09-18 18:01:12,903 INFO [train.py:885] (0/2) Epoch 20, batch 10000, loss[loss=0.2046, simple_loss=0.2773, pruned_loss=0.06592, over 13660.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08679, over 42.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3532, pruned_loss=0.1061, over 2782307.75 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07187, over 45357.38 utterances.], batch size: 42, lr: 2.33e-04
+2022-09-18 18:01:42,145 INFO [train.py:885] (0/2) Epoch 20, batch 10050, loss[loss=0.1751, simple_loss=0.2442, pruned_loss=0.05305, over 13826.00 frames. utt_duration=923.3 frames, utt_pad_proportion=0.07299, over 60.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3531, pruned_loss=0.1065, over 2783731.75 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07053, over 45043.51 utterances.], batch size: 60, lr: 2.33e-04
+2022-09-18 18:02:11,537 INFO [train.py:885] (0/2) Epoch 20, batch 10100, loss[loss=0.2985, simple_loss=0.3697, pruned_loss=0.1137, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04045, over 225.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3579, pruned_loss=0.1089, over 2786304.68 frames. utt_duration=240.6 frames, utt_pad_proportion=0.0714, over 46604.60 utterances.], batch size: 225, lr: 2.33e-04
+2022-09-18 18:02:41,561 INFO [train.py:885] (0/2) Epoch 20, batch 10150, loss[loss=0.2987, simple_loss=0.3636, pruned_loss=0.1169, over 14312.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03859, over 283.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.356, pruned_loss=0.1082, over 2781026.04 frames. utt_duration=241 frames, utt_pad_proportion=0.07042, over 46448.09 utterances.], batch size: 283, lr: 2.33e-04
+2022-09-18 18:03:11,051 INFO [train.py:885] (0/2) Epoch 20, batch 10200, loss[loss=0.3071, simple_loss=0.3686, pruned_loss=0.1228, over 14327.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04045, over 167.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3551, pruned_loss=0.1079, over 2784808.41 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06915, over 45967.96 utterances.], batch size: 167, lr: 2.33e-04
+2022-09-18 18:03:40,268 INFO [train.py:885] (0/2) Epoch 20, batch 10250, loss[loss=0.1538, simple_loss=0.2321, pruned_loss=0.03778, over 13891.00 frames. utt_duration=806.8 frames, utt_pad_proportion=0.06075, over 69.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3549, pruned_loss=0.108, over 2779797.43 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07084, over 45532.51 utterances.], batch size: 69, lr: 2.33e-04
+2022-09-18 18:04:09,994 INFO [train.py:885] (0/2) Epoch 20, batch 10300, loss[loss=0.2935, simple_loss=0.3655, pruned_loss=0.1108, over 14295.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03906, over 154.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3526, pruned_loss=0.1068, over 2777124.02 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07105, over 44789.57 utterances.], batch size: 154, lr: 2.33e-04
+2022-09-18 18:04:39,071 INFO [train.py:885] (0/2) Epoch 20, batch 10350, loss[loss=0.207, simple_loss=0.2824, pruned_loss=0.06583, over 13532.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08744, over 50.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.354, pruned_loss=0.1073, over 2780672.90 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07137, over 45173.32 utterances.], batch size: 50, lr: 2.33e-04
+2022-09-18 18:05:08,728 INFO [train.py:885] (0/2) Epoch 20, batch 10400, loss[loss=0.3038, simple_loss=0.3981, pruned_loss=0.1048, over 13730.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07413, over 411.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3558, pruned_loss=0.1082, over 2777115.76 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07419, over 46533.52 utterances.], batch size: 411, lr: 2.33e-04
+2022-09-18 18:05:37,978 INFO [train.py:885] (0/2) Epoch 20, batch 10450, loss[loss=0.174, simple_loss=0.2436, pruned_loss=0.05224, over 13333.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.1007, over 33.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3556, pruned_loss=0.1085, over 2783975.39 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07245, over 46061.71 utterances.], batch size: 33, lr: 2.33e-04
+2022-09-18 18:06:08,105 INFO [train.py:885] (0/2) Epoch 20, batch 10500, loss[loss=0.3023, simple_loss=0.4042, pruned_loss=0.1003, over 13634.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08118, over 477.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3537, pruned_loss=0.1066, over 2781118.58 frames. utt_duration=241.8 frames, utt_pad_proportion=0.0717, over 46286.41 utterances.], batch size: 477, lr: 2.33e-04
+2022-09-18 18:06:37,410 INFO [train.py:885] (0/2) Epoch 20, batch 10550, loss[loss=0.3059, simple_loss=0.3687, pruned_loss=0.1215, over 14342.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03691, over 210.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3532, pruned_loss=0.1064, over 2781314.22 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0718, over 46344.54 utterances.], batch size: 210, lr: 2.33e-04
+2022-09-18 18:07:07,239 INFO [train.py:885] (0/2) Epoch 20, batch 10600, loss[loss=0.2357, simple_loss=0.322, pruned_loss=0.07469, over 14249.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04526, over 141.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3516, pruned_loss=0.1051, over 2780487.33 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07138, over 45545.96 utterances.], batch size: 141, lr: 2.33e-04
+2022-09-18 18:07:36,263 INFO [train.py:885] (0/2) Epoch 20, batch 10650, loss[loss=0.2264, simple_loss=0.2905, pruned_loss=0.08121, over 14072.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05288, over 98.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.354, pruned_loss=0.1064, over 2780047.62 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07085, over 45906.63 utterances.], batch size: 98, lr: 2.33e-04
+2022-09-18 18:08:06,068 INFO [train.py:885] (0/2) Epoch 20, batch 10700, loss[loss=0.2362, simple_loss=0.3064, pruned_loss=0.08297, over 14084.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05515, over 98.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3546, pruned_loss=0.1072, over 2782347.39 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07153, over 45313.60 utterances.], batch size: 98, lr: 2.33e-04
+2022-09-18 18:08:35,561 INFO [train.py:885] (0/2) Epoch 20, batch 10750, loss[loss=0.223, simple_loss=0.2964, pruned_loss=0.07482, over 14179.00 frames. utt_duration=638.7 frames, utt_pad_proportion=0.04954, over 89.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3559, pruned_loss=0.1083, over 2778565.36 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07254, over 45948.26 utterances.], batch size: 89, lr: 2.33e-04
+2022-09-18 18:09:05,182 INFO [train.py:885] (0/2) Epoch 20, batch 10800, loss[loss=0.2357, simple_loss=0.3064, pruned_loss=0.08248, over 14127.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05219, over 98.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3565, pruned_loss=0.1081, over 2779902.37 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07194, over 46494.13 utterances.], batch size: 98, lr: 2.33e-04
+2022-09-18 18:09:34,618 INFO [train.py:885] (0/2) Epoch 20, batch 10850, loss[loss=0.2421, simple_loss=0.3061, pruned_loss=0.08909, over 14070.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05617, over 98.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3562, pruned_loss=0.1076, over 2777309.81 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07102, over 46720.95 utterances.], batch size: 98, lr: 2.33e-04
+2022-09-18 18:10:04,095 INFO [train.py:885] (0/2) Epoch 20, batch 10900, loss[loss=0.2172, simple_loss=0.2807, pruned_loss=0.07687, over 14191.00 frames. utt_duration=639.3 frames, utt_pad_proportion=0.04727, over 89.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3524, pruned_loss=0.1055, over 2776090.36 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07197, over 46132.79 utterances.], batch size: 89, lr: 2.32e-04
+2022-09-18 18:10:33,381 INFO [train.py:885] (0/2) Epoch 20, batch 10950, loss[loss=0.29, simple_loss=0.3511, pruned_loss=0.1144, over 14309.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04043, over 154.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3526, pruned_loss=0.1055, over 2778579.62 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07113, over 46163.30 utterances.], batch size: 154, lr: 2.32e-04
+2022-09-18 18:11:10,842 INFO [train.py:885] (0/2) Epoch 20, batch 11000, loss[loss=0.2608, simple_loss=0.3257, pruned_loss=0.09795, over 14217.00 frames. utt_duration=523.2 frames, utt_pad_proportion=0.04181, over 109.00 utterances.], tot_loss[loss=0.28, simple_loss=0.351, pruned_loss=0.1045, over 2781654.92 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06964, over 45907.92 utterances.], batch size: 109, lr: 2.32e-04
+2022-09-18 18:11:40,335 INFO [train.py:885] (0/2) Epoch 20, batch 11050, loss[loss=0.301, simple_loss=0.3719, pruned_loss=0.1151, over 14267.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04097, over 225.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3533, pruned_loss=0.1063, over 2780269.34 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07241, over 46249.28 utterances.], batch size: 225, lr: 2.32e-04
+2022-09-18 18:12:10,021 INFO [train.py:885] (0/2) Epoch 20, batch 11100, loss[loss=0.3202, simple_loss=0.3916, pruned_loss=0.1244, over 14365.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03535, over 195.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3566, pruned_loss=0.1079, over 2781432.31 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07267, over 47397.93 utterances.], batch size: 195, lr: 2.32e-04
+2022-09-18 18:12:40,068 INFO [train.py:885] (0/2) Epoch 20, batch 11150, loss[loss=0.3107, simple_loss=0.3708, pruned_loss=0.1253, over 14357.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03573, over 195.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3552, pruned_loss=0.1074, over 2788245.20 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07009, over 46467.60 utterances.], batch size: 195, lr: 2.32e-04
+2022-09-18 18:13:09,008 INFO [train.py:885] (0/2) Epoch 20, batch 11200, loss[loss=0.381, simple_loss=0.4258, pruned_loss=0.1681, over 14276.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04037, over 335.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.353, pruned_loss=0.1062, over 2785779.21 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07074, over 45344.64 utterances.], batch size: 335, lr: 2.32e-04
+2022-09-18 18:13:38,605 INFO [train.py:885] (0/2) Epoch 20, batch 11250, loss[loss=0.2288, simple_loss=0.2965, pruned_loss=0.08059, over 14299.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04004, over 120.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3521, pruned_loss=0.1055, over 2786711.00 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06935, over 44990.24 utterances.], batch size: 120, lr: 2.32e-04
+2022-09-18 18:14:07,845 INFO [train.py:885] (0/2) Epoch 20, batch 11300, loss[loss=0.2513, simple_loss=0.3187, pruned_loss=0.09195, over 14306.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03774, over 130.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3477, pruned_loss=0.1034, over 2783029.43 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06966, over 44051.79 utterances.], batch size: 130, lr: 2.32e-04
+2022-09-18 18:14:37,752 INFO [train.py:885] (0/2) Epoch 20, batch 11350, loss[loss=0.205, simple_loss=0.2681, pruned_loss=0.07093, over 13387.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08566, over 41.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3492, pruned_loss=0.1045, over 2781406.59 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06778, over 44266.55 utterances.], batch size: 41, lr: 2.32e-04
+2022-09-18 18:15:07,336 INFO [train.py:885] (0/2) Epoch 20, batch 11400, loss[loss=0.1685, simple_loss=0.231, pruned_loss=0.05297, over 13417.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.09446, over 50.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3472, pruned_loss=0.1034, over 2779522.24 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06889, over 43992.54 utterances.], batch size: 50, lr: 2.32e-04
+2022-09-18 18:15:36,858 INFO [train.py:885] (0/2) Epoch 20, batch 11450, loss[loss=0.5261, simple_loss=0.6138, pruned_loss=0.2192, over 12366.00 frames. utt_duration=62.66 frames, utt_pad_proportion=0.1532, over 810.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3509, pruned_loss=0.1046, over 2777667.37 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07228, over 46088.79 utterances.], batch size: 810, lr: 2.32e-04
+2022-09-18 18:16:06,521 INFO [train.py:885] (0/2) Epoch 20, batch 11500, loss[loss=0.2873, simple_loss=0.3786, pruned_loss=0.09804, over 13986.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05635, over 365.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3495, pruned_loss=0.1042, over 2778057.13 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07147, over 45526.04 utterances.], batch size: 365, lr: 2.32e-04
+2022-09-18 18:16:35,909 INFO [train.py:885] (0/2) Epoch 20, batch 11550, loss[loss=0.2621, simple_loss=0.3394, pruned_loss=0.09246, over 14292.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.0416, over 154.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3496, pruned_loss=0.1034, over 2776929.73 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07171, over 46124.37 utterances.], batch size: 154, lr: 2.32e-04
+2022-09-18 18:17:05,657 INFO [train.py:885] (0/2) Epoch 20, batch 11600, loss[loss=0.5299, simple_loss=0.6048, pruned_loss=0.2275, over 12467.00 frames. utt_duration=63.02 frames, utt_pad_proportion=0.1483, over 811.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3514, pruned_loss=0.1054, over 2775138.60 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07335, over 46459.27 utterances.], batch size: 811, lr: 2.32e-04
+2022-09-18 18:17:34,769 INFO [train.py:885] (0/2) Epoch 20, batch 11650, loss[loss=0.1668, simple_loss=0.2315, pruned_loss=0.05103, over 13917.00 frames. utt_duration=808.2 frames, utt_pad_proportion=0.05799, over 69.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3505, pruned_loss=0.1048, over 2777708.77 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07228, over 45676.62 utterances.], batch size: 69, lr: 2.32e-04
+2022-09-18 18:18:04,429 INFO [train.py:885] (0/2) Epoch 20, batch 11700, loss[loss=0.5392, simple_loss=0.6095, pruned_loss=0.2344, over 12482.00 frames. utt_duration=63.28 frames, utt_pad_proportion=0.1448, over 810.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.352, pruned_loss=0.1049, over 2779009.16 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07196, over 46631.22 utterances.], batch size: 810, lr: 2.32e-04
+2022-09-18 18:18:33,727 INFO [train.py:885] (0/2) Epoch 20, batch 11750, loss[loss=0.2365, simple_loss=0.3069, pruned_loss=0.08298, over 14190.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04392, over 109.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3517, pruned_loss=0.1045, over 2779688.37 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07281, over 46674.19 utterances.], batch size: 109, lr: 2.32e-04
+2022-09-18 18:19:04,158 INFO [train.py:885] (0/2) Epoch 20, batch 11800, loss[loss=0.541, simple_loss=0.6093, pruned_loss=0.2363, over 12616.00 frames. utt_duration=63.72 frames, utt_pad_proportion=0.1389, over 811.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3545, pruned_loss=0.1054, over 2777572.59 frames. utt_duration=230.8 frames, utt_pad_proportion=0.07423, over 48457.60 utterances.], batch size: 811, lr: 2.32e-04
+2022-09-18 18:19:33,489 INFO [train.py:885] (0/2) Epoch 20, batch 11850, loss[loss=0.3169, simple_loss=0.3808, pruned_loss=0.1264, over 14304.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.03994, over 283.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3572, pruned_loss=0.1065, over 2782555.22 frames. utt_duration=226.6 frames, utt_pad_proportion=0.0725, over 49447.40 utterances.], batch size: 283, lr: 2.32e-04
+2022-09-18 18:20:02,827 INFO [train.py:885] (0/2) Epoch 20, batch 11900, loss[loss=0.3408, simple_loss=0.4077, pruned_loss=0.1369, over 14237.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04272, over 225.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3586, pruned_loss=0.1076, over 2784413.43 frames. utt_duration=224.5 frames, utt_pad_proportion=0.07358, over 49937.00 utterances.], batch size: 225, lr: 2.32e-04
+2022-09-18 18:20:32,176 INFO [train.py:885] (0/2) Epoch 20, batch 11950, loss[loss=0.1733, simple_loss=0.2529, pruned_loss=0.04686, over 14034.00 frames. utt_duration=712 frames, utt_pad_proportion=0.05815, over 79.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3528, pruned_loss=0.1053, over 2784674.67 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07193, over 46765.98 utterances.], batch size: 79, lr: 2.32e-04
+2022-09-18 18:21:01,298 INFO [train.py:885] (0/2) Epoch 20, batch 12000, loss[loss=0.5199, simple_loss=0.6041, pruned_loss=0.2179, over 12403.00 frames. utt_duration=62.85 frames, utt_pad_proportion=0.1507, over 810.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.354, pruned_loss=0.1053, over 2784625.24 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07325, over 47834.27 utterances.], batch size: 810, lr: 2.32e-04
+2022-09-18 18:21:01,299 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 18:21:05,615 INFO [train.py:914] (0/2) Epoch 20, validation: loss=0.1975, simple_loss=0.2781, pruned_loss=0.05848, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 18:21:35,743 INFO [train.py:885] (0/2) Epoch 20, batch 12050, loss[loss=0.3283, simple_loss=0.4186, pruned_loss=0.119, over 13612.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08293, over 477.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3527, pruned_loss=0.1057, over 2782186.91 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07319, over 46669.97 utterances.], batch size: 477, lr: 2.32e-04
+2022-09-18 18:22:05,087 INFO [train.py:885] (0/2) Epoch 20, batch 12100, loss[loss=0.1568, simple_loss=0.2195, pruned_loss=0.04702, over 12363.00 frames. utt_duration=2062 frames, utt_pad_proportion=0.1573, over 24.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3572, pruned_loss=0.1085, over 2779865.28 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07389, over 48162.94 utterances.], batch size: 24, lr: 2.32e-04
+2022-09-18 18:22:34,383 INFO [train.py:885] (0/2) Epoch 20, batch 12150, loss[loss=0.2445, simple_loss=0.3173, pruned_loss=0.08584, over 14268.00 frames. utt_duration=642.6 frames, utt_pad_proportion=0.03947, over 89.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3566, pruned_loss=0.1077, over 2778994.15 frames. utt_duration=230.5 frames, utt_pad_proportion=0.074, over 48530.17 utterances.], batch size: 89, lr: 2.32e-04
+2022-09-18 18:23:04,747 INFO [train.py:885] (0/2) Epoch 20, batch 12200, loss[loss=0.1594, simple_loss=0.2118, pruned_loss=0.05351, over 13743.00 frames. utt_duration=917.8 frames, utt_pad_proportion=0.07204, over 60.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3553, pruned_loss=0.1067, over 2775467.57 frames. utt_duration=228.6 frames, utt_pad_proportion=0.07468, over 48871.51 utterances.], batch size: 60, lr: 2.32e-04
+2022-09-18 18:23:16,474 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-252000.pt
+2022-09-18 18:23:34,247 INFO [train.py:885] (0/2) Epoch 20, batch 12250, loss[loss=0.2779, simple_loss=0.3319, pruned_loss=0.1119, over 14293.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04041, over 120.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3485, pruned_loss=0.1043, over 2779632.29 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07166, over 45187.81 utterances.], batch size: 120, lr: 2.32e-04
+2022-09-18 18:24:04,274 INFO [train.py:885] (0/2) Epoch 20, batch 12300, loss[loss=0.2818, simple_loss=0.3612, pruned_loss=0.1012, over 14299.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04025, over 262.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3537, pruned_loss=0.1072, over 2779933.73 frames. utt_duration=238 frames, utt_pad_proportion=0.07386, over 47022.87 utterances.], batch size: 262, lr: 2.32e-04
+2022-09-18 18:24:33,836 INFO [train.py:885] (0/2) Epoch 20, batch 12350, loss[loss=0.1771, simple_loss=0.2326, pruned_loss=0.06081, over 13544.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.09565, over 42.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3549, pruned_loss=0.1088, over 2781616.12 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07364, over 46762.77 utterances.], batch size: 42, lr: 2.32e-04
+2022-09-18 18:25:04,442 INFO [train.py:885] (0/2) Epoch 20, batch 12400, loss[loss=0.1866, simple_loss=0.2559, pruned_loss=0.05865, over 13886.00 frames. utt_duration=806.6 frames, utt_pad_proportion=0.06104, over 69.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3524, pruned_loss=0.107, over 2781508.71 frames. utt_duration=242 frames, utt_pad_proportion=0.07369, over 46253.12 utterances.], batch size: 69, lr: 2.32e-04
+2022-09-18 18:25:34,352 INFO [train.py:885] (0/2) Epoch 20, batch 12450, loss[loss=0.3212, simple_loss=0.3862, pruned_loss=0.1281, over 14328.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03815, over 283.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3526, pruned_loss=0.1068, over 2781114.73 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07225, over 46395.64 utterances.], batch size: 283, lr: 2.32e-04
+2022-09-18 18:26:03,718 INFO [train.py:885] (0/2) Epoch 20, batch 12500, loss[loss=0.2888, simple_loss=0.3623, pruned_loss=0.1077, over 14310.00 frames. utt_duration=273.9 frames, utt_pad_proportion=0.03878, over 210.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3573, pruned_loss=0.1088, over 2778920.15 frames. utt_duration=230.1 frames, utt_pad_proportion=0.0735, over 48611.86 utterances.], batch size: 210, lr: 2.32e-04
+2022-09-18 18:26:33,042 INFO [train.py:885] (0/2) Epoch 20, batch 12550, loss[loss=0.2563, simple_loss=0.3435, pruned_loss=0.08456, over 14280.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04045, over 180.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3558, pruned_loss=0.1079, over 2779945.14 frames. utt_duration=234 frames, utt_pad_proportion=0.07324, over 47829.38 utterances.], batch size: 180, lr: 2.32e-04
+2022-09-18 18:27:01,073 INFO [train.py:885] (0/2) Epoch 20, batch 12600, loss[loss=0.2842, simple_loss=0.383, pruned_loss=0.09271, over 13707.00 frames. utt_duration=134.9 frames, utt_pad_proportion=0.07596, over 411.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3594, pruned_loss=0.109, over 2781705.37 frames. utt_duration=226.9 frames, utt_pad_proportion=0.07307, over 49351.54 utterances.], batch size: 411, lr: 2.32e-04
+2022-09-18 18:27:11,882 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-20.pt
+2022-09-18 18:27:19,339 INFO [train.py:885] (0/2) Epoch 21, batch 0, loss[loss=0.187, simple_loss=0.2604, pruned_loss=0.05676, over 13062.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1212, over 33.00 utterances.], tot_loss[loss=0.187, simple_loss=0.2604, pruned_loss=0.05676, over 13062.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1212, over 33.00 utterances.], batch size: 33, lr: 2.26e-04
+2022-09-18 18:28:00,166 INFO [train.py:885] (0/2) Epoch 21, batch 50, loss[loss=0.3483, simple_loss=0.4522, pruned_loss=0.1221, over 13179.00 frames. utt_duration=82.29 frames, utt_pad_proportion=0.1055, over 653.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3569, pruned_loss=0.1072, over 626004.56 frames. utt_duration=229 frames, utt_pad_proportion=0.07654, over 11003.89 utterances.], batch size: 653, lr: 2.26e-04
+2022-09-18 18:28:29,656 INFO [train.py:885] (0/2) Epoch 21, batch 100, loss[loss=0.2082, simple_loss=0.2874, pruned_loss=0.06453, over 14263.00 frames. utt_duration=524.9 frames, utt_pad_proportion=0.03868, over 109.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3572, pruned_loss=0.1077, over 1102028.33 frames. utt_duration=228.4 frames, utt_pad_proportion=0.0745, over 19427.10 utterances.], batch size: 109, lr: 2.26e-04
+2022-09-18 18:28:58,748 INFO [train.py:885] (0/2) Epoch 21, batch 150, loss[loss=0.2831, simple_loss=0.3597, pruned_loss=0.1032, over 14302.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03962, over 283.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3582, pruned_loss=0.1071, over 1477550.01 frames. utt_duration=225.2 frames, utt_pad_proportion=0.07247, over 26417.50 utterances.], batch size: 283, lr: 2.26e-04
+2022-09-18 18:29:28,104 INFO [train.py:885] (0/2) Epoch 21, batch 200, loss[loss=0.3402, simple_loss=0.4004, pruned_loss=0.14, over 14312.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03915, over 283.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3543, pruned_loss=0.1055, over 1766649.14 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07065, over 29947.20 utterances.], batch size: 283, lr: 2.26e-04
+2022-09-18 18:29:58,245 INFO [train.py:885] (0/2) Epoch 21, batch 250, loss[loss=0.308, simple_loss=0.3725, pruned_loss=0.1217, over 14280.00 frames. utt_duration=254.3 frames, utt_pad_proportion=0.04034, over 226.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3591, pruned_loss=0.1097, over 1992358.03 frames. utt_duration=233.9 frames, utt_pad_proportion=0.0714, over 34289.82 utterances.], batch size: 226, lr: 2.26e-04
+2022-09-18 18:30:28,052 INFO [train.py:885] (0/2) Epoch 21, batch 300, loss[loss=0.1838, simple_loss=0.2661, pruned_loss=0.0507, over 13172.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.1036, over 26.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3498, pruned_loss=0.105, over 2166135.67 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06979, over 34295.61 utterances.], batch size: 26, lr: 2.26e-04
+2022-09-18 18:30:57,749 INFO [train.py:885] (0/2) Epoch 21, batch 350, loss[loss=0.372, simple_loss=0.4514, pruned_loss=0.1463, over 13621.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08135, over 477.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3558, pruned_loss=0.1085, over 2303453.91 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06958, over 37969.49 utterances.], batch size: 477, lr: 2.26e-04
+2022-09-18 18:31:26,892 INFO [train.py:885] (0/2) Epoch 21, batch 400, loss[loss=0.3022, simple_loss=0.3781, pruned_loss=0.1131, over 14337.00 frames. utt_duration=320 frames, utt_pad_proportion=0.03611, over 180.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3527, pruned_loss=0.1063, over 2408730.18 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07122, over 39504.99 utterances.], batch size: 180, lr: 2.26e-04
+2022-09-18 18:31:56,405 INFO [train.py:885] (0/2) Epoch 21, batch 450, loss[loss=0.2891, simple_loss=0.373, pruned_loss=0.1026, over 14338.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03681, over 210.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3478, pruned_loss=0.1043, over 2491385.35 frames. utt_duration=259.3 frames, utt_pad_proportion=0.072, over 38655.46 utterances.], batch size: 210, lr: 2.26e-04
+2022-09-18 18:32:25,569 INFO [train.py:885] (0/2) Epoch 21, batch 500, loss[loss=0.3005, simple_loss=0.3688, pruned_loss=0.1161, over 14274.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04417, over 141.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3528, pruned_loss=0.1063, over 2556846.65 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07315, over 41784.64 utterances.], batch size: 141, lr: 2.26e-04
+2022-09-18 18:32:54,901 INFO [train.py:885] (0/2) Epoch 21, batch 550, loss[loss=0.4189, simple_loss=0.4798, pruned_loss=0.179, over 13798.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07004, over 411.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3573, pruned_loss=0.1083, over 2606635.01 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07485, over 44969.60 utterances.], batch size: 411, lr: 2.26e-04
+2022-09-18 18:33:23,977 INFO [train.py:885] (0/2) Epoch 21, batch 600, loss[loss=0.2817, simple_loss=0.3373, pruned_loss=0.1131, over 14294.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03828, over 130.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3537, pruned_loss=0.1063, over 2642868.29 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07352, over 44457.92 utterances.], batch size: 130, lr: 2.26e-04
+2022-09-18 18:33:54,119 INFO [train.py:885] (0/2) Epoch 21, batch 650, loss[loss=0.5844, simple_loss=0.6387, pruned_loss=0.2651, over 12446.00 frames. utt_duration=63.05 frames, utt_pad_proportion=0.1479, over 811.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3538, pruned_loss=0.1064, over 2672501.81 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07261, over 44989.52 utterances.], batch size: 811, lr: 2.26e-04
+2022-09-18 18:34:22,667 INFO [train.py:885] (0/2) Epoch 21, batch 700, loss[loss=0.1995, simple_loss=0.2702, pruned_loss=0.0644, over 13121.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.12, over 33.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3523, pruned_loss=0.1058, over 2702779.68 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06953, over 44148.44 utterances.], batch size: 33, lr: 2.26e-04
+2022-09-18 18:34:52,641 INFO [train.py:885] (0/2) Epoch 21, batch 750, loss[loss=0.2543, simple_loss=0.331, pruned_loss=0.08882, over 14282.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.0433, over 141.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3502, pruned_loss=0.1045, over 2718210.86 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07051, over 43538.45 utterances.], batch size: 141, lr: 2.26e-04
+2022-09-18 18:35:21,820 INFO [train.py:885] (0/2) Epoch 21, batch 800, loss[loss=0.3087, simple_loss=0.3803, pruned_loss=0.1186, over 14238.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.0419, over 306.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3492, pruned_loss=0.1041, over 2735387.15 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07, over 43431.72 utterances.], batch size: 306, lr: 2.26e-04
+2022-09-18 18:35:51,626 INFO [train.py:885] (0/2) Epoch 21, batch 850, loss[loss=0.2159, simple_loss=0.3011, pruned_loss=0.0653, over 14170.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04466, over 109.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3502, pruned_loss=0.1048, over 2748210.16 frames. utt_duration=252.4 frames, utt_pad_proportion=0.0687, over 43810.03 utterances.], batch size: 109, lr: 2.26e-04
+2022-09-18 18:36:21,221 INFO [train.py:885] (0/2) Epoch 21, batch 900, loss[loss=0.2722, simple_loss=0.3451, pruned_loss=0.09965, over 14286.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03969, over 180.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3512, pruned_loss=0.1052, over 2754372.33 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06862, over 43894.07 utterances.], batch size: 180, lr: 2.26e-04
+2022-09-18 18:36:50,972 INFO [train.py:885] (0/2) Epoch 21, batch 950, loss[loss=0.1684, simple_loss=0.2378, pruned_loss=0.04953, over 13802.00 frames. utt_duration=921.5 frames, utt_pad_proportion=0.0739, over 60.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3507, pruned_loss=0.1051, over 2757992.34 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07091, over 44314.00 utterances.], batch size: 60, lr: 2.26e-04
+2022-09-18 18:37:21,095 INFO [train.py:885] (0/2) Epoch 21, batch 1000, loss[loss=0.3734, simple_loss=0.4167, pruned_loss=0.165, over 14289.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03992, over 225.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3529, pruned_loss=0.1063, over 2763243.32 frames. utt_duration=246 frames, utt_pad_proportion=0.07093, over 45201.59 utterances.], batch size: 225, lr: 2.26e-04
+2022-09-18 18:37:50,150 INFO [train.py:885] (0/2) Epoch 21, batch 1050, loss[loss=0.1997, simple_loss=0.2745, pruned_loss=0.0624, over 13496.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.08739, over 50.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.349, pruned_loss=0.1044, over 2765699.73 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06908, over 43218.02 utterances.], batch size: 50, lr: 2.26e-04
+2022-09-18 18:38:20,055 INFO [train.py:885] (0/2) Epoch 21, batch 1100, loss[loss=0.5891, simple_loss=0.656, pruned_loss=0.2611, over 12502.00 frames. utt_duration=63.37 frames, utt_pad_proportion=0.1437, over 810.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3504, pruned_loss=0.1053, over 2765457.69 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07118, over 44369.11 utterances.], batch size: 810, lr: 2.26e-04
+2022-09-18 18:38:49,305 INFO [train.py:885] (0/2) Epoch 21, batch 1150, loss[loss=0.458, simple_loss=0.4755, pruned_loss=0.2203, over 14229.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04341, over 335.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3514, pruned_loss=0.1055, over 2770743.67 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07061, over 44670.97 utterances.], batch size: 335, lr: 2.26e-04
+2022-09-18 18:39:18,771 INFO [train.py:885] (0/2) Epoch 21, batch 1200, loss[loss=0.2341, simple_loss=0.3189, pruned_loss=0.07467, over 14276.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04278, over 154.00 utterances.], tot_loss[loss=0.285, simple_loss=0.355, pruned_loss=0.1075, over 2777979.51 frames. utt_duration=244 frames, utt_pad_proportion=0.06957, over 45815.32 utterances.], batch size: 154, lr: 2.26e-04
+2022-09-18 18:39:47,905 INFO [train.py:885] (0/2) Epoch 21, batch 1250, loss[loss=0.284, simple_loss=0.3598, pruned_loss=0.1041, over 14295.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04052, over 262.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.353, pruned_loss=0.1057, over 2783206.23 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06871, over 45190.96 utterances.], batch size: 262, lr: 2.26e-04
+2022-09-18 18:40:17,297 INFO [train.py:885] (0/2) Epoch 21, batch 1300, loss[loss=0.3086, simple_loss=0.4023, pruned_loss=0.1075, over 13762.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07253, over 411.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3529, pruned_loss=0.1055, over 2783096.53 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06921, over 46061.63 utterances.], batch size: 411, lr: 2.26e-04
+2022-09-18 18:40:47,311 INFO [train.py:885] (0/2) Epoch 21, batch 1350, loss[loss=0.2822, simple_loss=0.3793, pruned_loss=0.09253, over 13733.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07361, over 411.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3558, pruned_loss=0.1077, over 2785813.16 frames. utt_duration=236.9 frames, utt_pad_proportion=0.06768, over 47327.69 utterances.], batch size: 411, lr: 2.26e-04
+2022-09-18 18:41:16,741 INFO [train.py:885] (0/2) Epoch 21, batch 1400, loss[loss=0.3359, simple_loss=0.4407, pruned_loss=0.1155, over 13190.00 frames. utt_duration=82.31 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3518, pruned_loss=0.1061, over 2782867.43 frames. utt_duration=244.4 frames, utt_pad_proportion=0.0673, over 45826.36 utterances.], batch size: 653, lr: 2.26e-04
+2022-09-18 18:41:45,840 INFO [train.py:885] (0/2) Epoch 21, batch 1450, loss[loss=0.3705, simple_loss=0.4488, pruned_loss=0.1461, over 13662.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0791, over 477.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3496, pruned_loss=0.1046, over 2775961.89 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07064, over 45303.22 utterances.], batch size: 477, lr: 2.26e-04
+2022-09-18 18:42:15,057 INFO [train.py:885] (0/2) Epoch 21, batch 1500, loss[loss=0.188, simple_loss=0.2661, pruned_loss=0.05492, over 14115.00 frames. utt_duration=716.4 frames, utt_pad_proportion=0.05242, over 79.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3476, pruned_loss=0.1037, over 2774110.14 frames. utt_duration=249.7 frames, utt_pad_proportion=0.0708, over 44703.45 utterances.], batch size: 79, lr: 2.26e-04
+2022-09-18 18:42:44,571 INFO [train.py:885] (0/2) Epoch 21, batch 1550, loss[loss=0.3304, simple_loss=0.3954, pruned_loss=0.1327, over 14238.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04212, over 306.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3454, pruned_loss=0.1029, over 2773744.35 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07069, over 43778.50 utterances.], batch size: 306, lr: 2.26e-04
+2022-09-18 18:43:14,447 INFO [train.py:885] (0/2) Epoch 21, batch 1600, loss[loss=0.2293, simple_loss=0.315, pruned_loss=0.07178, over 14304.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03957, over 120.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3441, pruned_loss=0.1027, over 2778084.59 frames. utt_duration=263.7 frames, utt_pad_proportion=0.06767, over 42373.87 utterances.], batch size: 120, lr: 2.26e-04
+2022-09-18 18:43:43,853 INFO [train.py:885] (0/2) Epoch 21, batch 1650, loss[loss=0.2009, simple_loss=0.2513, pruned_loss=0.0753, over 13359.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.0872, over 41.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3475, pruned_loss=0.1043, over 2774378.03 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07148, over 44060.69 utterances.], batch size: 41, lr: 2.26e-04
+2022-09-18 18:44:13,642 INFO [train.py:885] (0/2) Epoch 21, batch 1700, loss[loss=0.2716, simple_loss=0.3577, pruned_loss=0.09276, over 14392.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03121, over 244.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3506, pruned_loss=0.1056, over 2775347.72 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07106, over 45105.51 utterances.], batch size: 244, lr: 2.26e-04
+2022-09-18 18:44:42,553 INFO [train.py:885] (0/2) Epoch 21, batch 1750, loss[loss=0.3604, simple_loss=0.4469, pruned_loss=0.137, over 13593.00 frames. utt_duration=98.46 frames, utt_pad_proportion=0.07981, over 560.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3543, pruned_loss=0.1074, over 2782412.20 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0696, over 45717.00 utterances.], batch size: 560, lr: 2.26e-04
+2022-09-18 18:45:12,077 INFO [train.py:885] (0/2) Epoch 21, batch 1800, loss[loss=0.2735, simple_loss=0.3377, pruned_loss=0.1046, over 14330.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03615, over 130.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3545, pruned_loss=0.1077, over 2778676.26 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07102, over 46471.40 utterances.], batch size: 130, lr: 2.26e-04
+2022-09-18 18:45:42,338 INFO [train.py:885] (0/2) Epoch 21, batch 1850, loss[loss=0.2027, simple_loss=0.2566, pruned_loss=0.07437, over 12472.00 frames. utt_duration=2080 frames, utt_pad_proportion=0.1561, over 24.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3543, pruned_loss=0.1078, over 2772501.76 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07317, over 46651.27 utterances.], batch size: 24, lr: 2.25e-04
+2022-09-18 18:46:11,126 INFO [train.py:885] (0/2) Epoch 21, batch 1900, loss[loss=0.2876, simple_loss=0.3335, pruned_loss=0.1209, over 14115.00 frames. utt_duration=519.4 frames, utt_pad_proportion=0.04876, over 109.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3516, pruned_loss=0.1071, over 2775288.18 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07174, over 45177.59 utterances.], batch size: 109, lr: 2.25e-04
+2022-09-18 18:46:41,077 INFO [train.py:885] (0/2) Epoch 21, batch 1950, loss[loss=0.3366, simple_loss=0.3993, pruned_loss=0.137, over 14256.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04127, over 306.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.352, pruned_loss=0.1063, over 2780992.02 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07053, over 45447.17 utterances.], batch size: 306, lr: 2.25e-04
+2022-09-18 18:47:10,809 INFO [train.py:885] (0/2) Epoch 21, batch 2000, loss[loss=0.3095, simple_loss=0.3512, pruned_loss=0.1339, over 14201.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04702, over 89.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3536, pruned_loss=0.1075, over 2785046.28 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06937, over 45631.95 utterances.], batch size: 89, lr: 2.25e-04
+2022-09-18 18:47:39,950 INFO [train.py:885] (0/2) Epoch 21, batch 2050, loss[loss=0.2936, simple_loss=0.3942, pruned_loss=0.09648, over 13754.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07266, over 411.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3565, pruned_loss=0.1085, over 2782747.30 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0707, over 46792.84 utterances.], batch size: 411, lr: 2.25e-04
+2022-09-18 18:48:09,637 INFO [train.py:885] (0/2) Epoch 21, batch 2100, loss[loss=0.3502, simple_loss=0.4213, pruned_loss=0.1395, over 13975.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05763, over 365.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3541, pruned_loss=0.1068, over 2785242.44 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06962, over 45954.97 utterances.], batch size: 365, lr: 2.25e-04
+2022-09-18 18:48:38,880 INFO [train.py:885] (0/2) Epoch 21, batch 2150, loss[loss=0.1515, simple_loss=0.2139, pruned_loss=0.0445, over 12995.00 frames. utt_duration=1577 frames, utt_pad_proportion=0.1245, over 33.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3545, pruned_loss=0.1072, over 2785428.01 frames. utt_duration=242.6 frames, utt_pad_proportion=0.06993, over 46205.10 utterances.], batch size: 33, lr: 2.25e-04
+2022-09-18 18:49:09,193 INFO [train.py:885] (0/2) Epoch 21, batch 2200, loss[loss=0.1734, simple_loss=0.2432, pruned_loss=0.05178, over 13242.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1026, over 33.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3552, pruned_loss=0.107, over 2781963.61 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07072, over 47501.35 utterances.], batch size: 33, lr: 2.25e-04
+2022-09-18 18:49:38,322 INFO [train.py:885] (0/2) Epoch 21, batch 2250, loss[loss=0.2652, simple_loss=0.3439, pruned_loss=0.0933, over 14345.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.03836, over 154.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3532, pruned_loss=0.1053, over 2783655.50 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07074, over 46920.00 utterances.], batch size: 154, lr: 2.25e-04
+2022-09-18 18:50:07,790 INFO [train.py:885] (0/2) Epoch 21, batch 2300, loss[loss=0.1714, simple_loss=0.2321, pruned_loss=0.05541, over 13764.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.07842, over 42.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3489, pruned_loss=0.1028, over 2788124.84 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06851, over 45148.51 utterances.], batch size: 42, lr: 2.25e-04
+2022-09-18 18:50:36,856 INFO [train.py:885] (0/2) Epoch 21, batch 2350, loss[loss=0.3, simple_loss=0.4007, pruned_loss=0.09966, over 13754.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07371, over 411.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3544, pruned_loss=0.1064, over 2788185.55 frames. utt_duration=239.8 frames, utt_pad_proportion=0.06973, over 46800.95 utterances.], batch size: 411, lr: 2.25e-04
+2022-09-18 18:51:13,732 INFO [train.py:885] (0/2) Epoch 21, batch 2400, loss[loss=0.1382, simple_loss=0.1911, pruned_loss=0.04271, over 12656.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.1403, over 25.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3499, pruned_loss=0.1045, over 2792114.55 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06788, over 44282.54 utterances.], batch size: 25, lr: 2.25e-04
+2022-09-18 18:51:43,798 INFO [train.py:885] (0/2) Epoch 21, batch 2450, loss[loss=0.2167, simple_loss=0.2658, pruned_loss=0.08375, over 13535.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08484, over 50.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3514, pruned_loss=0.1044, over 2791414.41 frames. utt_duration=248.7 frames, utt_pad_proportion=0.0681, over 45159.30 utterances.], batch size: 50, lr: 2.25e-04
+2022-09-18 18:52:13,115 INFO [train.py:885] (0/2) Epoch 21, batch 2500, loss[loss=0.2956, simple_loss=0.3904, pruned_loss=0.1004, over 13766.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07248, over 411.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3508, pruned_loss=0.104, over 2788277.53 frames. utt_duration=249 frames, utt_pad_proportion=0.06872, over 45055.92 utterances.], batch size: 411, lr: 2.25e-04
+2022-09-18 18:52:43,128 INFO [train.py:885] (0/2) Epoch 21, batch 2550, loss[loss=0.2995, simple_loss=0.376, pruned_loss=0.1116, over 14364.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03294, over 244.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3504, pruned_loss=0.104, over 2782866.95 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06941, over 45052.84 utterances.], batch size: 244, lr: 2.25e-04
+2022-09-18 18:53:12,524 INFO [train.py:885] (0/2) Epoch 21, batch 2600, loss[loss=0.3329, simple_loss=0.4303, pruned_loss=0.1177, over 13585.00 frames. utt_duration=98.38 frames, utt_pad_proportion=0.08054, over 560.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3517, pruned_loss=0.1051, over 2782682.10 frames. utt_duration=247 frames, utt_pad_proportion=0.07006, over 45327.04 utterances.], batch size: 560, lr: 2.25e-04
+2022-09-18 18:53:41,677 INFO [train.py:885] (0/2) Epoch 21, batch 2650, loss[loss=0.2628, simple_loss=0.3263, pruned_loss=0.09965, over 14205.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04819, over 141.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3498, pruned_loss=0.1038, over 2783263.84 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06787, over 44702.28 utterances.], batch size: 141, lr: 2.25e-04
+2022-09-18 18:54:12,046 INFO [train.py:885] (0/2) Epoch 21, batch 2700, loss[loss=0.3175, simple_loss=0.407, pruned_loss=0.1141, over 13756.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07271, over 411.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3468, pruned_loss=0.1021, over 2778842.50 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07002, over 44473.45 utterances.], batch size: 411, lr: 2.25e-04
+2022-09-18 18:54:41,215 INFO [train.py:885] (0/2) Epoch 21, batch 2750, loss[loss=0.291, simple_loss=0.3826, pruned_loss=0.09969, over 13788.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06989, over 411.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3493, pruned_loss=0.1035, over 2775768.76 frames. utt_duration=245 frames, utt_pad_proportion=0.07122, over 45603.28 utterances.], batch size: 411, lr: 2.25e-04
+2022-09-18 18:55:11,040 INFO [train.py:885] (0/2) Epoch 21, batch 2800, loss[loss=0.2905, simple_loss=0.361, pruned_loss=0.11, over 14351.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03611, over 195.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3477, pruned_loss=0.1026, over 2777166.94 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07138, over 45105.41 utterances.], batch size: 195, lr: 2.25e-04
+2022-09-18 18:55:40,769 INFO [train.py:885] (0/2) Epoch 21, batch 2850, loss[loss=0.276, simple_loss=0.381, pruned_loss=0.08544, over 13773.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07189, over 411.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3509, pruned_loss=0.1039, over 2779684.86 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07081, over 46729.09 utterances.], batch size: 411, lr: 2.25e-04
+2022-09-18 18:56:10,352 INFO [train.py:885] (0/2) Epoch 21, batch 2900, loss[loss=0.3321, simple_loss=0.4107, pruned_loss=0.1268, over 13951.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.0588, over 365.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3513, pruned_loss=0.1044, over 2780475.27 frames. utt_duration=240 frames, utt_pad_proportion=0.07001, over 46632.53 utterances.], batch size: 365, lr: 2.25e-04
+2022-09-18 18:56:39,414 INFO [train.py:885] (0/2) Epoch 21, batch 2950, loss[loss=0.2433, simple_loss=0.3255, pruned_loss=0.08051, over 14323.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03737, over 180.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3495, pruned_loss=0.1041, over 2785310.56 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0672, over 44976.47 utterances.], batch size: 180, lr: 2.25e-04
+2022-09-18 18:57:10,275 INFO [train.py:885] (0/2) Epoch 21, batch 3000, loss[loss=0.1833, simple_loss=0.2572, pruned_loss=0.05471, over 13456.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.08071, over 41.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3499, pruned_loss=0.1048, over 2779791.37 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06994, over 45545.26 utterances.], batch size: 41, lr: 2.25e-04
+2022-09-18 18:57:10,276 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 18:57:14,358 INFO [train.py:914] (0/2) Epoch 21, validation: loss=0.1978, simple_loss=0.2778, pruned_loss=0.05892, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 18:57:45,465 INFO [train.py:885] (0/2) Epoch 21, batch 3050, loss[loss=0.2101, simple_loss=0.2802, pruned_loss=0.07, over 14133.00 frames. utt_duration=578.4 frames, utt_pad_proportion=0.05177, over 98.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3536, pruned_loss=0.1066, over 2780307.64 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07292, over 47326.56 utterances.], batch size: 98, lr: 2.25e-04
+2022-09-18 18:58:15,678 INFO [train.py:885] (0/2) Epoch 21, batch 3100, loss[loss=0.2534, simple_loss=0.3167, pruned_loss=0.09508, over 14224.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04162, over 109.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3521, pruned_loss=0.1053, over 2775775.29 frames. utt_duration=235 frames, utt_pad_proportion=0.07403, over 47545.80 utterances.], batch size: 109, lr: 2.25e-04
+2022-09-18 18:58:46,099 INFO [train.py:885] (0/2) Epoch 21, batch 3150, loss[loss=0.2069, simple_loss=0.2735, pruned_loss=0.07015, over 14093.00 frames. utt_duration=714.8 frames, utt_pad_proportion=0.05321, over 79.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3516, pruned_loss=0.1055, over 2778012.00 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07345, over 47019.00 utterances.], batch size: 79, lr: 2.25e-04
+2022-09-18 18:59:15,450 INFO [train.py:885] (0/2) Epoch 21, batch 3200, loss[loss=0.2098, simple_loss=0.2753, pruned_loss=0.07213, over 14000.00 frames. utt_duration=801.5 frames, utt_pad_proportion=0.06363, over 70.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3525, pruned_loss=0.1055, over 2779109.40 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07418, over 47529.23 utterances.], batch size: 70, lr: 2.25e-04
+2022-09-18 18:59:45,200 INFO [train.py:885] (0/2) Epoch 21, batch 3250, loss[loss=0.2291, simple_loss=0.2883, pruned_loss=0.08497, over 14141.00 frames. utt_duration=636.9 frames, utt_pad_proportion=0.04935, over 89.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3558, pruned_loss=0.1073, over 2778569.56 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07564, over 48408.93 utterances.], batch size: 89, lr: 2.25e-04
+2022-09-18 19:00:15,562 INFO [train.py:885] (0/2) Epoch 21, batch 3300, loss[loss=0.3627, simple_loss=0.4174, pruned_loss=0.154, over 14301.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03912, over 283.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3566, pruned_loss=0.1084, over 2777750.91 frames. utt_duration=230.4 frames, utt_pad_proportion=0.07626, over 48530.18 utterances.], batch size: 283, lr: 2.25e-04
+2022-09-18 19:00:45,500 INFO [train.py:885] (0/2) Epoch 21, batch 3350, loss[loss=0.2812, simple_loss=0.3502, pruned_loss=0.1061, over 14276.00 frames. utt_duration=343.4 frames, utt_pad_proportion=0.04352, over 167.00 utterances.], tot_loss[loss=0.284, simple_loss=0.354, pruned_loss=0.107, over 2778765.91 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07368, over 46856.33 utterances.], batch size: 167, lr: 2.25e-04
+2022-09-18 19:01:14,917 INFO [train.py:885] (0/2) Epoch 21, batch 3400, loss[loss=0.2657, simple_loss=0.3353, pruned_loss=0.09809, over 14274.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.03994, over 130.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3511, pruned_loss=0.105, over 2778685.71 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07419, over 46232.74 utterances.], batch size: 130, lr: 2.25e-04
+2022-09-18 19:01:44,409 INFO [train.py:885] (0/2) Epoch 21, batch 3450, loss[loss=0.2608, simple_loss=0.3344, pruned_loss=0.09363, over 14281.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04379, over 141.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3525, pruned_loss=0.106, over 2778968.30 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07247, over 46164.08 utterances.], batch size: 141, lr: 2.25e-04
+2022-09-18 19:02:14,995 INFO [train.py:885] (0/2) Epoch 21, batch 3500, loss[loss=0.1559, simple_loss=0.2233, pruned_loss=0.04425, over 13574.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.07705, over 50.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3509, pruned_loss=0.105, over 2778579.90 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07268, over 45603.17 utterances.], batch size: 50, lr: 2.25e-04
+2022-09-18 19:02:45,042 INFO [train.py:885] (0/2) Epoch 21, batch 3550, loss[loss=0.2488, simple_loss=0.3178, pruned_loss=0.08987, over 14350.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03648, over 120.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3502, pruned_loss=0.1049, over 2777967.79 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07324, over 45517.92 utterances.], batch size: 120, lr: 2.25e-04
+2022-09-18 19:03:15,082 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-256000.pt
+2022-09-18 19:03:15,580 INFO [train.py:885] (0/2) Epoch 21, batch 3600, loss[loss=0.2394, simple_loss=0.3047, pruned_loss=0.08707, over 14161.00 frames. utt_duration=579.6 frames, utt_pad_proportion=0.04826, over 98.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3517, pruned_loss=0.1061, over 2776236.41 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07434, over 45683.05 utterances.], batch size: 98, lr: 2.25e-04
+2022-09-18 19:03:45,627 INFO [train.py:885] (0/2) Epoch 21, batch 3650, loss[loss=0.2895, simple_loss=0.3896, pruned_loss=0.0947, over 13681.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07805, over 477.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3504, pruned_loss=0.1055, over 2778210.33 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07363, over 45220.52 utterances.], batch size: 477, lr: 2.25e-04
+2022-09-18 19:04:15,738 INFO [train.py:885] (0/2) Epoch 21, batch 3700, loss[loss=0.3579, simple_loss=0.4133, pruned_loss=0.1512, over 14230.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04391, over 335.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3496, pruned_loss=0.1051, over 2777198.70 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0737, over 45371.39 utterances.], batch size: 335, lr: 2.25e-04
+2022-09-18 19:04:45,451 INFO [train.py:885] (0/2) Epoch 21, batch 3750, loss[loss=0.2218, simple_loss=0.2988, pruned_loss=0.07237, over 14167.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.0451, over 109.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3487, pruned_loss=0.1042, over 2777549.13 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07324, over 45128.57 utterances.], batch size: 109, lr: 2.25e-04
+2022-09-18 19:05:15,813 INFO [train.py:885] (0/2) Epoch 21, batch 3800, loss[loss=0.2492, simple_loss=0.3288, pruned_loss=0.08474, over 14284.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03927, over 180.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3481, pruned_loss=0.1038, over 2784248.51 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07073, over 44365.91 utterances.], batch size: 180, lr: 2.25e-04
+2022-09-18 19:05:45,640 INFO [train.py:885] (0/2) Epoch 21, batch 3850, loss[loss=0.227, simple_loss=0.3125, pruned_loss=0.07072, over 14283.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04335, over 141.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.349, pruned_loss=0.1043, over 2785575.76 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06992, over 44435.55 utterances.], batch size: 141, lr: 2.25e-04
+2022-09-18 19:06:16,201 INFO [train.py:885] (0/2) Epoch 21, batch 3900, loss[loss=0.1891, simple_loss=0.248, pruned_loss=0.06514, over 13821.00 frames. utt_duration=802.8 frames, utt_pad_proportion=0.06429, over 69.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3479, pruned_loss=0.1037, over 2781739.37 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06914, over 44015.21 utterances.], batch size: 69, lr: 2.25e-04
+2022-09-18 19:06:45,805 INFO [train.py:885] (0/2) Epoch 21, batch 3950, loss[loss=0.3342, simple_loss=0.3857, pruned_loss=0.1413, over 14252.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.04389, over 154.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3511, pruned_loss=0.1058, over 2783760.43 frames. utt_duration=252 frames, utt_pad_proportion=0.06864, over 44437.13 utterances.], batch size: 154, lr: 2.25e-04
+2022-09-18 19:07:16,064 INFO [train.py:885] (0/2) Epoch 21, batch 4000, loss[loss=0.2992, simple_loss=0.3688, pruned_loss=0.1148, over 14343.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03778, over 262.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3535, pruned_loss=0.1059, over 2779581.73 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07137, over 47285.11 utterances.], batch size: 262, lr: 2.25e-04
+2022-09-18 19:07:45,654 INFO [train.py:885] (0/2) Epoch 21, batch 4050, loss[loss=0.2841, simple_loss=0.3561, pruned_loss=0.106, over 14315.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.0373, over 180.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.352, pruned_loss=0.1047, over 2774711.03 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07254, over 47063.82 utterances.], batch size: 180, lr: 2.25e-04
+2022-09-18 19:08:15,255 INFO [train.py:885] (0/2) Epoch 21, batch 4100, loss[loss=0.3088, simple_loss=0.3795, pruned_loss=0.1191, over 14312.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03912, over 283.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3531, pruned_loss=0.1061, over 2777207.35 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07073, over 46985.73 utterances.], batch size: 283, lr: 2.25e-04
+2022-09-18 19:08:44,995 INFO [train.py:885] (0/2) Epoch 21, batch 4150, loss[loss=0.1802, simple_loss=0.2582, pruned_loss=0.05103, over 13846.00 frames. utt_duration=804.2 frames, utt_pad_proportion=0.06379, over 69.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3513, pruned_loss=0.1048, over 2777302.40 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07159, over 46949.94 utterances.], batch size: 69, lr: 2.24e-04
+2022-09-18 19:09:15,204 INFO [train.py:885] (0/2) Epoch 21, batch 4200, loss[loss=0.346, simple_loss=0.4087, pruned_loss=0.1416, over 14348.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03719, over 283.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3496, pruned_loss=0.1036, over 2776445.21 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07173, over 46523.85 utterances.], batch size: 283, lr: 2.24e-04
+2022-09-18 19:09:44,867 INFO [train.py:885] (0/2) Epoch 21, batch 4250, loss[loss=0.4252, simple_loss=0.4906, pruned_loss=0.1799, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07111, over 411.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3503, pruned_loss=0.1039, over 2777847.33 frames. utt_duration=240 frames, utt_pad_proportion=0.07083, over 46593.76 utterances.], batch size: 411, lr: 2.24e-04
+2022-09-18 19:10:15,081 INFO [train.py:885] (0/2) Epoch 21, batch 4300, loss[loss=0.245, simple_loss=0.3218, pruned_loss=0.08409, over 14286.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.04121, over 120.00 utterances.], tot_loss[loss=0.274, simple_loss=0.345, pruned_loss=0.1015, over 2780253.77 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06824, over 43940.56 utterances.], batch size: 120, lr: 2.24e-04
+2022-09-18 19:10:44,901 INFO [train.py:885] (0/2) Epoch 21, batch 4350, loss[loss=0.2688, simple_loss=0.3522, pruned_loss=0.0927, over 14328.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.03732, over 226.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3494, pruned_loss=0.1042, over 2780123.86 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07147, over 45875.44 utterances.], batch size: 226, lr: 2.24e-04
+2022-09-18 19:11:15,002 INFO [train.py:885] (0/2) Epoch 21, batch 4400, loss[loss=0.3668, simple_loss=0.4671, pruned_loss=0.1332, over 13153.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3494, pruned_loss=0.1044, over 2778899.54 frames. utt_duration=246 frames, utt_pad_proportion=0.07191, over 45459.74 utterances.], batch size: 653, lr: 2.24e-04
+2022-09-18 19:11:45,189 INFO [train.py:885] (0/2) Epoch 21, batch 4450, loss[loss=0.2786, simple_loss=0.3591, pruned_loss=0.09907, over 14308.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.0379, over 180.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3508, pruned_loss=0.1054, over 2783223.11 frames. utt_duration=249 frames, utt_pad_proportion=0.07065, over 44971.41 utterances.], batch size: 180, lr: 2.24e-04
+2022-09-18 19:12:15,399 INFO [train.py:885] (0/2) Epoch 21, batch 4500, loss[loss=0.3498, simple_loss=0.4029, pruned_loss=0.1484, over 14250.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04137, over 306.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3536, pruned_loss=0.1068, over 2785666.26 frames. utt_duration=244 frames, utt_pad_proportion=0.07019, over 45945.74 utterances.], batch size: 306, lr: 2.24e-04
+2022-09-18 19:12:45,770 INFO [train.py:885] (0/2) Epoch 21, batch 4550, loss[loss=0.2535, simple_loss=0.3334, pruned_loss=0.08679, over 14224.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04728, over 141.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.353, pruned_loss=0.1053, over 2785433.36 frames. utt_duration=239.4 frames, utt_pad_proportion=0.06985, over 46837.59 utterances.], batch size: 141, lr: 2.24e-04
+2022-09-18 19:13:15,379 INFO [train.py:885] (0/2) Epoch 21, batch 4600, loss[loss=0.3101, simple_loss=0.3603, pruned_loss=0.1299, over 14309.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.04123, over 120.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3503, pruned_loss=0.1043, over 2782088.91 frames. utt_duration=244.3 frames, utt_pad_proportion=0.06966, over 45830.08 utterances.], batch size: 120, lr: 2.24e-04
+2022-09-18 19:13:45,428 INFO [train.py:885] (0/2) Epoch 21, batch 4650, loss[loss=0.3546, simple_loss=0.4149, pruned_loss=0.1472, over 14208.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0439, over 306.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3492, pruned_loss=0.1047, over 2784104.08 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06774, over 44778.74 utterances.], batch size: 306, lr: 2.24e-04
+2022-09-18 19:14:15,175 INFO [train.py:885] (0/2) Epoch 21, batch 4700, loss[loss=0.321, simple_loss=0.3881, pruned_loss=0.1269, over 14307.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04002, over 262.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3496, pruned_loss=0.105, over 2778318.63 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06997, over 44958.02 utterances.], batch size: 262, lr: 2.24e-04
+2022-09-18 19:14:44,828 INFO [train.py:885] (0/2) Epoch 21, batch 4750, loss[loss=0.1945, simple_loss=0.275, pruned_loss=0.05705, over 14121.00 frames. utt_duration=636.2 frames, utt_pad_proportion=0.05189, over 89.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3538, pruned_loss=0.1066, over 2778309.56 frames. utt_duration=238.9 frames, utt_pad_proportion=0.071, over 46796.90 utterances.], batch size: 89, lr: 2.24e-04
+2022-09-18 19:15:15,261 INFO [train.py:885] (0/2) Epoch 21, batch 4800, loss[loss=0.3032, simple_loss=0.3755, pruned_loss=0.1155, over 14291.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.0408, over 262.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3556, pruned_loss=0.1079, over 2778245.92 frames. utt_duration=237.5 frames, utt_pad_proportion=0.0722, over 47073.98 utterances.], batch size: 262, lr: 2.24e-04
+2022-09-18 19:15:44,818 INFO [train.py:885] (0/2) Epoch 21, batch 4850, loss[loss=0.2769, simple_loss=0.3415, pruned_loss=0.1061, over 14318.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03748, over 180.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.357, pruned_loss=0.1086, over 2772510.79 frames. utt_duration=232.5 frames, utt_pad_proportion=0.073, over 48009.67 utterances.], batch size: 180, lr: 2.24e-04
+2022-09-18 19:16:15,232 INFO [train.py:885] (0/2) Epoch 21, batch 4900, loss[loss=0.2532, simple_loss=0.3422, pruned_loss=0.08207, over 14319.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03862, over 195.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3569, pruned_loss=0.1077, over 2774585.25 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07386, over 48214.18 utterances.], batch size: 195, lr: 2.24e-04
+2022-09-18 19:16:44,398 INFO [train.py:885] (0/2) Epoch 21, batch 4950, loss[loss=0.2917, simple_loss=0.3796, pruned_loss=0.102, over 14033.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05631, over 366.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3549, pruned_loss=0.1068, over 2776691.72 frames. utt_duration=236 frames, utt_pad_proportion=0.07268, over 47354.56 utterances.], batch size: 366, lr: 2.24e-04
+2022-09-18 19:17:14,795 INFO [train.py:885] (0/2) Epoch 21, batch 5000, loss[loss=0.2234, simple_loss=0.3034, pruned_loss=0.07168, over 14170.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04505, over 109.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3541, pruned_loss=0.1065, over 2777726.65 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07242, over 46930.13 utterances.], batch size: 109, lr: 2.24e-04
+2022-09-18 19:17:45,350 INFO [train.py:885] (0/2) Epoch 21, batch 5050, loss[loss=0.3054, simple_loss=0.3802, pruned_loss=0.1153, over 14359.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03529, over 210.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3544, pruned_loss=0.1072, over 2775979.56 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07312, over 46530.57 utterances.], batch size: 210, lr: 2.24e-04
+2022-09-18 19:18:15,218 INFO [train.py:885] (0/2) Epoch 21, batch 5100, loss[loss=0.2198, simple_loss=0.2877, pruned_loss=0.07596, over 14125.00 frames. utt_duration=716.5 frames, utt_pad_proportion=0.051, over 79.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3532, pruned_loss=0.1061, over 2781447.28 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07141, over 45937.34 utterances.], batch size: 79, lr: 2.24e-04
+2022-09-18 19:18:45,264 INFO [train.py:885] (0/2) Epoch 21, batch 5150, loss[loss=0.3238, simple_loss=0.4212, pruned_loss=0.1132, over 13686.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07773, over 477.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3494, pruned_loss=0.104, over 2785595.59 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06976, over 44729.31 utterances.], batch size: 477, lr: 2.24e-04
+2022-09-18 19:19:15,077 INFO [train.py:885] (0/2) Epoch 21, batch 5200, loss[loss=0.3201, simple_loss=0.3965, pruned_loss=0.1219, over 14000.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05596, over 365.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3451, pruned_loss=0.1016, over 2789769.28 frames. utt_duration=260.6 frames, utt_pad_proportion=0.06702, over 43069.25 utterances.], batch size: 365, lr: 2.24e-04
+2022-09-18 19:19:45,269 INFO [train.py:885] (0/2) Epoch 21, batch 5250, loss[loss=0.2966, simple_loss=0.3894, pruned_loss=0.1019, over 13734.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07393, over 411.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3453, pruned_loss=0.1015, over 2790021.33 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06725, over 43642.64 utterances.], batch size: 411, lr: 2.24e-04
+2022-09-18 19:20:15,469 INFO [train.py:885] (0/2) Epoch 21, batch 5300, loss[loss=0.4854, simple_loss=0.5816, pruned_loss=0.1946, over 12524.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1447, over 811.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3459, pruned_loss=0.1017, over 2790573.13 frames. utt_duration=255.1 frames, utt_pad_proportion=0.0677, over 44010.45 utterances.], batch size: 811, lr: 2.24e-04
+2022-09-18 19:20:45,592 INFO [train.py:885] (0/2) Epoch 21, batch 5350, loss[loss=0.2606, simple_loss=0.3335, pruned_loss=0.09386, over 14258.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04512, over 141.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3436, pruned_loss=0.1014, over 2790091.38 frames. utt_duration=263.3 frames, utt_pad_proportion=0.0658, over 42620.99 utterances.], batch size: 141, lr: 2.24e-04
+2022-09-18 19:21:15,721 INFO [train.py:885] (0/2) Epoch 21, batch 5400, loss[loss=0.3225, simple_loss=0.4257, pruned_loss=0.1096, over 13592.00 frames. utt_duration=98.48 frames, utt_pad_proportion=0.07959, over 560.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3431, pruned_loss=0.1008, over 2787463.84 frames. utt_duration=259.9 frames, utt_pad_proportion=0.0685, over 43150.41 utterances.], batch size: 560, lr: 2.24e-04
+2022-09-18 19:21:45,545 INFO [train.py:885] (0/2) Epoch 21, batch 5450, loss[loss=0.1811, simple_loss=0.2459, pruned_loss=0.05816, over 13738.00 frames. utt_duration=917.3 frames, utt_pad_proportion=0.07807, over 60.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3447, pruned_loss=0.1017, over 2785254.05 frames. utt_duration=257.7 frames, utt_pad_proportion=0.07, over 43482.98 utterances.], batch size: 60, lr: 2.24e-04
+2022-09-18 19:22:14,916 INFO [train.py:885] (0/2) Epoch 21, batch 5500, loss[loss=0.4193, simple_loss=0.4879, pruned_loss=0.1754, over 13589.00 frames. utt_duration=98.38 frames, utt_pad_proportion=0.08056, over 560.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3496, pruned_loss=0.1042, over 2784691.69 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0713, over 45623.37 utterances.], batch size: 560, lr: 2.24e-04
+2022-09-18 19:22:45,008 INFO [train.py:885] (0/2) Epoch 21, batch 5550, loss[loss=0.2482, simple_loss=0.3125, pruned_loss=0.09196, over 14131.00 frames. utt_duration=636.6 frames, utt_pad_proportion=0.04706, over 89.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3528, pruned_loss=0.1058, over 2779832.31 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07393, over 46924.94 utterances.], batch size: 89, lr: 2.24e-04
+2022-09-18 19:23:14,171 INFO [train.py:885] (0/2) Epoch 21, batch 5600, loss[loss=0.3266, simple_loss=0.3979, pruned_loss=0.1277, over 14351.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03364, over 244.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3526, pruned_loss=0.106, over 2782089.93 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07291, over 46323.34 utterances.], batch size: 244, lr: 2.24e-04
+2022-09-18 19:23:43,637 INFO [train.py:885] (0/2) Epoch 21, batch 5650, loss[loss=0.2834, simple_loss=0.377, pruned_loss=0.0949, over 13995.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05678, over 365.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3528, pruned_loss=0.1055, over 2784684.45 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07199, over 46838.21 utterances.], batch size: 365, lr: 2.24e-04
+2022-09-18 19:24:12,832 INFO [train.py:885] (0/2) Epoch 21, batch 5700, loss[loss=0.2129, simple_loss=0.2838, pruned_loss=0.07098, over 14182.00 frames. utt_duration=639 frames, utt_pad_proportion=0.04484, over 89.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3467, pruned_loss=0.1026, over 2785245.35 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06986, over 44041.72 utterances.], batch size: 89, lr: 2.24e-04
+2022-09-18 19:24:42,938 INFO [train.py:885] (0/2) Epoch 21, batch 5750, loss[loss=0.2822, simple_loss=0.3266, pruned_loss=0.1189, over 14187.00 frames. utt_duration=580.4 frames, utt_pad_proportion=0.04698, over 98.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3509, pruned_loss=0.1039, over 2778402.37 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07424, over 46643.08 utterances.], batch size: 98, lr: 2.24e-04
+2022-09-18 19:25:12,578 INFO [train.py:885] (0/2) Epoch 21, batch 5800, loss[loss=0.2595, simple_loss=0.3264, pruned_loss=0.09626, over 14044.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05771, over 98.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3542, pruned_loss=0.1059, over 2780165.91 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07325, over 47346.20 utterances.], batch size: 98, lr: 2.24e-04
+2022-09-18 19:25:42,593 INFO [train.py:885] (0/2) Epoch 21, batch 5850, loss[loss=0.1362, simple_loss=0.1909, pruned_loss=0.04075, over 13429.00 frames. utt_duration=1630 frames, utt_pad_proportion=0.0982, over 33.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3552, pruned_loss=0.1071, over 2775083.13 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07555, over 48013.67 utterances.], batch size: 33, lr: 2.24e-04
+2022-09-18 19:26:11,827 INFO [train.py:885] (0/2) Epoch 21, batch 5900, loss[loss=0.2544, simple_loss=0.3268, pruned_loss=0.09095, over 14308.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03819, over 154.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3555, pruned_loss=0.1076, over 2779887.36 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07232, over 47165.86 utterances.], batch size: 154, lr: 2.24e-04
+2022-09-18 19:26:41,382 INFO [train.py:885] (0/2) Epoch 21, batch 5950, loss[loss=0.3398, simple_loss=0.3975, pruned_loss=0.141, over 14219.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0432, over 306.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3524, pruned_loss=0.1055, over 2775773.19 frames. utt_duration=238.1 frames, utt_pad_proportion=0.0736, over 46921.81 utterances.], batch size: 306, lr: 2.24e-04
+2022-09-18 19:27:10,885 INFO [train.py:885] (0/2) Epoch 21, batch 6000, loss[loss=0.4911, simple_loss=0.5536, pruned_loss=0.2143, over 13153.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1075, over 653.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.35, pruned_loss=0.1053, over 2772313.65 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07236, over 45557.46 utterances.], batch size: 653, lr: 2.24e-04
+2022-09-18 19:27:10,886 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 19:27:15,897 INFO [train.py:914] (0/2) Epoch 21, validation: loss=0.1914, simple_loss=0.2696, pruned_loss=0.05659, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 19:27:45,496 INFO [train.py:885] (0/2) Epoch 21, batch 6050, loss[loss=0.2233, simple_loss=0.2961, pruned_loss=0.07523, over 14229.00 frames. utt_duration=640.8 frames, utt_pad_proportion=0.04494, over 89.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3494, pruned_loss=0.1044, over 2774402.49 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07133, over 45629.84 utterances.], batch size: 89, lr: 2.24e-04
+2022-09-18 19:28:15,009 INFO [train.py:885] (0/2) Epoch 21, batch 6100, loss[loss=0.286, simple_loss=0.3654, pruned_loss=0.1033, over 14319.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03806, over 210.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3485, pruned_loss=0.1036, over 2781525.68 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06878, over 45215.26 utterances.], batch size: 210, lr: 2.24e-04
+2022-09-18 19:28:44,408 INFO [train.py:885] (0/2) Epoch 21, batch 6150, loss[loss=0.2656, simple_loss=0.3219, pruned_loss=0.1046, over 13993.00 frames. utt_duration=572.8 frames, utt_pad_proportion=0.05792, over 98.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3481, pruned_loss=0.1038, over 2780921.83 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06975, over 44802.49 utterances.], batch size: 98, lr: 2.24e-04
+2022-09-18 19:29:14,057 INFO [train.py:885] (0/2) Epoch 21, batch 6200, loss[loss=0.3145, simple_loss=0.3809, pruned_loss=0.124, over 14291.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03926, over 180.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3489, pruned_loss=0.1043, over 2781429.11 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06755, over 44497.89 utterances.], batch size: 180, lr: 2.24e-04
+2022-09-18 19:29:43,273 INFO [train.py:885] (0/2) Epoch 21, batch 6250, loss[loss=0.3177, simple_loss=0.4185, pruned_loss=0.1085, over 13657.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0794, over 477.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3502, pruned_loss=0.105, over 2782407.17 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06886, over 45019.78 utterances.], batch size: 477, lr: 2.24e-04
+2022-09-18 19:30:13,003 INFO [train.py:885] (0/2) Epoch 21, batch 6300, loss[loss=0.3345, simple_loss=0.395, pruned_loss=0.137, over 14220.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04333, over 306.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3508, pruned_loss=0.1054, over 2782794.20 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06799, over 44981.87 utterances.], batch size: 306, lr: 2.24e-04
+2022-09-18 19:30:42,350 INFO [train.py:885] (0/2) Epoch 21, batch 6350, loss[loss=0.1701, simple_loss=0.2578, pruned_loss=0.04126, over 13164.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.1004, over 41.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3492, pruned_loss=0.104, over 2779243.82 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07102, over 45437.12 utterances.], batch size: 41, lr: 2.24e-04
+2022-09-18 19:31:11,739 INFO [train.py:885] (0/2) Epoch 21, batch 6400, loss[loss=0.3241, simple_loss=0.4154, pruned_loss=0.1164, over 13619.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08178, over 477.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3502, pruned_loss=0.1047, over 2776039.86 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07271, over 45918.18 utterances.], batch size: 477, lr: 2.24e-04
+2022-09-18 19:31:41,834 INFO [train.py:885] (0/2) Epoch 21, batch 6450, loss[loss=0.5436, simple_loss=0.6227, pruned_loss=0.2323, over 12555.00 frames. utt_duration=63.61 frames, utt_pad_proportion=0.1404, over 810.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3544, pruned_loss=0.1059, over 2779793.05 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07214, over 48333.22 utterances.], batch size: 810, lr: 2.23e-04
+2022-09-18 19:32:11,066 INFO [train.py:885] (0/2) Epoch 21, batch 6500, loss[loss=0.2901, simple_loss=0.3645, pruned_loss=0.1079, over 14335.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03868, over 244.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3532, pruned_loss=0.1053, over 2783639.98 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07137, over 47567.32 utterances.], batch size: 244, lr: 2.23e-04
+2022-09-18 19:32:40,342 INFO [train.py:885] (0/2) Epoch 21, batch 6550, loss[loss=0.2171, simple_loss=0.3006, pruned_loss=0.06685, over 14295.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.04177, over 154.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3527, pruned_loss=0.1048, over 2782450.28 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07248, over 47532.55 utterances.], batch size: 154, lr: 2.23e-04
+2022-09-18 19:33:16,756 INFO [train.py:885] (0/2) Epoch 21, batch 6600, loss[loss=0.2015, simple_loss=0.274, pruned_loss=0.06448, over 13516.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.09, over 50.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3551, pruned_loss=0.106, over 2782469.45 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07179, over 48374.82 utterances.], batch size: 50, lr: 2.23e-04
+2022-09-18 19:33:45,963 INFO [train.py:885] (0/2) Epoch 21, batch 6650, loss[loss=0.2038, simple_loss=0.2734, pruned_loss=0.06717, over 14041.00 frames. utt_duration=803.7 frames, utt_pad_proportion=0.06113, over 70.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3537, pruned_loss=0.1053, over 2779576.57 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07214, over 48144.03 utterances.], batch size: 70, lr: 2.23e-04
+2022-09-18 19:34:15,902 INFO [train.py:885] (0/2) Epoch 21, batch 6700, loss[loss=0.3738, simple_loss=0.4396, pruned_loss=0.154, over 13995.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05643, over 365.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3556, pruned_loss=0.1061, over 2776648.33 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07482, over 49098.93 utterances.], batch size: 365, lr: 2.23e-04
+2022-09-18 19:34:44,875 INFO [train.py:885] (0/2) Epoch 21, batch 6750, loss[loss=0.1859, simple_loss=0.2558, pruned_loss=0.05802, over 13692.00 frames. utt_duration=914.3 frames, utt_pad_proportion=0.0727, over 60.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3557, pruned_loss=0.1061, over 2779613.20 frames. utt_duration=228.4 frames, utt_pad_proportion=0.07377, over 49005.68 utterances.], batch size: 60, lr: 2.23e-04
+2022-09-18 19:35:14,651 INFO [train.py:885] (0/2) Epoch 21, batch 6800, loss[loss=0.2502, simple_loss=0.323, pruned_loss=0.08868, over 14173.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.0448, over 109.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3533, pruned_loss=0.105, over 2779880.95 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07235, over 47650.02 utterances.], batch size: 109, lr: 2.23e-04
+2022-09-18 19:35:44,423 INFO [train.py:885] (0/2) Epoch 21, batch 6850, loss[loss=0.2394, simple_loss=0.3159, pruned_loss=0.08148, over 14303.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.0399, over 130.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3559, pruned_loss=0.1064, over 2777143.97 frames. utt_duration=227.2 frames, utt_pad_proportion=0.07416, over 49217.94 utterances.], batch size: 130, lr: 2.23e-04
+2022-09-18 19:36:14,159 INFO [train.py:885] (0/2) Epoch 21, batch 6900, loss[loss=0.3365, simple_loss=0.4453, pruned_loss=0.1138, over 13149.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3544, pruned_loss=0.1056, over 2779288.39 frames. utt_duration=229.9 frames, utt_pad_proportion=0.07199, over 48667.60 utterances.], batch size: 653, lr: 2.23e-04
+2022-09-18 19:36:43,189 INFO [train.py:885] (0/2) Epoch 21, batch 6950, loss[loss=0.3325, simple_loss=0.393, pruned_loss=0.136, over 14193.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04493, over 306.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3536, pruned_loss=0.1054, over 2776874.26 frames. utt_duration=230.1 frames, utt_pad_proportion=0.07309, over 48582.14 utterances.], batch size: 306, lr: 2.23e-04
+2022-09-18 19:37:13,153 INFO [train.py:885] (0/2) Epoch 21, batch 7000, loss[loss=0.249, simple_loss=0.3161, pruned_loss=0.09093, over 14134.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.04738, over 109.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3541, pruned_loss=0.1053, over 2779481.11 frames. utt_duration=230.4 frames, utt_pad_proportion=0.07176, over 48565.37 utterances.], batch size: 109, lr: 2.23e-04
+2022-09-18 19:37:41,962 INFO [train.py:885] (0/2) Epoch 21, batch 7050, loss[loss=0.2671, simple_loss=0.3378, pruned_loss=0.09824, over 14319.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04058, over 167.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3494, pruned_loss=0.1025, over 2780532.54 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07092, over 46152.62 utterances.], batch size: 167, lr: 2.23e-04
+2022-09-18 19:38:11,718 INFO [train.py:885] (0/2) Epoch 21, batch 7100, loss[loss=0.4517, simple_loss=0.4719, pruned_loss=0.2157, over 14358.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03346, over 244.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3506, pruned_loss=0.1038, over 2783646.59 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06847, over 46359.97 utterances.], batch size: 244, lr: 2.23e-04
+2022-09-18 19:38:41,354 INFO [train.py:885] (0/2) Epoch 21, batch 7150, loss[loss=0.2269, simple_loss=0.2971, pruned_loss=0.07835, over 14070.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05474, over 98.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3496, pruned_loss=0.1036, over 2780104.74 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07042, over 45592.47 utterances.], batch size: 98, lr: 2.23e-04
+2022-09-18 19:39:10,424 INFO [train.py:885] (0/2) Epoch 21, batch 7200, loss[loss=0.4014, simple_loss=0.4848, pruned_loss=0.159, over 13155.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3457, pruned_loss=0.102, over 2777636.25 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07146, over 44656.82 utterances.], batch size: 653, lr: 2.23e-04
+2022-09-18 19:39:39,945 INFO [train.py:885] (0/2) Epoch 21, batch 7250, loss[loss=0.2306, simple_loss=0.2972, pruned_loss=0.08199, over 14127.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05089, over 98.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3476, pruned_loss=0.1024, over 2773201.96 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07394, over 45569.43 utterances.], batch size: 98, lr: 2.23e-04
+2022-09-18 19:40:09,496 INFO [train.py:885] (0/2) Epoch 21, batch 7300, loss[loss=0.3196, simple_loss=0.3706, pruned_loss=0.1343, over 14280.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04138, over 120.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3461, pruned_loss=0.1018, over 2774942.58 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07307, over 45557.76 utterances.], batch size: 120, lr: 2.23e-04
+2022-09-18 19:40:38,966 INFO [train.py:885] (0/2) Epoch 21, batch 7350, loss[loss=0.4073, simple_loss=0.4454, pruned_loss=0.1847, over 14212.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04421, over 335.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3493, pruned_loss=0.1039, over 2772920.47 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07473, over 46251.09 utterances.], batch size: 335, lr: 2.23e-04
+2022-09-18 19:41:08,648 INFO [train.py:885] (0/2) Epoch 21, batch 7400, loss[loss=0.2435, simple_loss=0.3221, pruned_loss=0.08243, over 14273.00 frames. utt_duration=477.3 frames, utt_pad_proportion=0.04158, over 120.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3492, pruned_loss=0.1032, over 2773817.63 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07287, over 46060.76 utterances.], batch size: 120, lr: 2.23e-04
+2022-09-18 19:41:38,043 INFO [train.py:885] (0/2) Epoch 21, batch 7450, loss[loss=0.3005, simple_loss=0.3759, pruned_loss=0.1126, over 14340.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03709, over 210.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3482, pruned_loss=0.103, over 2778628.46 frames. utt_duration=248.8 frames, utt_pad_proportion=0.0733, over 44936.51 utterances.], batch size: 210, lr: 2.23e-04
+2022-09-18 19:42:07,473 INFO [train.py:885] (0/2) Epoch 21, batch 7500, loss[loss=0.2376, simple_loss=0.3124, pruned_loss=0.08144, over 14278.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.0414, over 120.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3477, pruned_loss=0.103, over 2779415.51 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07459, over 44400.24 utterances.], batch size: 120, lr: 2.23e-04
+2022-09-18 19:42:37,212 INFO [train.py:885] (0/2) Epoch 21, batch 7550, loss[loss=0.2371, simple_loss=0.3159, pruned_loss=0.07912, over 14267.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04034, over 130.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.346, pruned_loss=0.1024, over 2776203.88 frames. utt_duration=254 frames, utt_pad_proportion=0.07469, over 43969.41 utterances.], batch size: 130, lr: 2.23e-04
+2022-09-18 19:43:07,232 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-260000.pt
+2022-09-18 19:43:07,752 INFO [train.py:885] (0/2) Epoch 21, batch 7600, loss[loss=0.1655, simple_loss=0.2392, pruned_loss=0.04589, over 13645.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08309, over 50.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3473, pruned_loss=0.1025, over 2779095.34 frames. utt_duration=252.3 frames, utt_pad_proportion=0.0728, over 44322.21 utterances.], batch size: 50, lr: 2.23e-04
+2022-09-18 19:43:36,881 INFO [train.py:885] (0/2) Epoch 21, batch 7650, loss[loss=0.3715, simple_loss=0.4287, pruned_loss=0.1571, over 14191.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04562, over 306.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.349, pruned_loss=0.1042, over 2780945.64 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06951, over 44242.92 utterances.], batch size: 306, lr: 2.23e-04
+2022-09-18 19:44:07,470 INFO [train.py:885] (0/2) Epoch 21, batch 7700, loss[loss=0.1924, simple_loss=0.2757, pruned_loss=0.05453, over 13854.00 frames. utt_duration=925.1 frames, utt_pad_proportion=0.07117, over 60.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3454, pruned_loss=0.1025, over 2778733.63 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06939, over 42955.38 utterances.], batch size: 60, lr: 2.23e-04
+2022-09-18 19:44:36,878 INFO [train.py:885] (0/2) Epoch 21, batch 7750, loss[loss=0.1841, simple_loss=0.2711, pruned_loss=0.04861, over 12888.00 frames. utt_duration=1984 frames, utt_pad_proportion=0.1177, over 26.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3452, pruned_loss=0.102, over 2780686.94 frames. utt_duration=261.3 frames, utt_pad_proportion=0.06994, over 42807.11 utterances.], batch size: 26, lr: 2.23e-04
+2022-09-18 19:45:06,047 INFO [train.py:885] (0/2) Epoch 21, batch 7800, loss[loss=0.4706, simple_loss=0.569, pruned_loss=0.1861, over 12464.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.1471, over 810.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3492, pruned_loss=0.1038, over 2781790.99 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07122, over 44428.68 utterances.], batch size: 810, lr: 2.23e-04
+2022-09-18 19:45:35,776 INFO [train.py:885] (0/2) Epoch 21, batch 7850, loss[loss=0.2819, simple_loss=0.3498, pruned_loss=0.1071, over 14303.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03937, over 226.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3489, pruned_loss=0.1037, over 2780587.83 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0719, over 44926.19 utterances.], batch size: 226, lr: 2.23e-04
+2022-09-18 19:46:05,981 INFO [train.py:885] (0/2) Epoch 21, batch 7900, loss[loss=0.3518, simple_loss=0.4187, pruned_loss=0.1424, over 14198.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04487, over 306.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3501, pruned_loss=0.104, over 2782977.76 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07049, over 45314.52 utterances.], batch size: 306, lr: 2.23e-04
+2022-09-18 19:46:35,650 INFO [train.py:885] (0/2) Epoch 21, batch 7950, loss[loss=0.644, simple_loss=0.6872, pruned_loss=0.3004, over 12476.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3508, pruned_loss=0.104, over 2782293.64 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07167, over 45910.94 utterances.], batch size: 810, lr: 2.23e-04
+2022-09-18 19:47:04,942 INFO [train.py:885] (0/2) Epoch 21, batch 8000, loss[loss=0.1695, simple_loss=0.249, pruned_loss=0.04496, over 12593.00 frames. utt_duration=2016 frames, utt_pad_proportion=0.1302, over 25.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3501, pruned_loss=0.1039, over 2781006.02 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07272, over 45576.38 utterances.], batch size: 25, lr: 2.23e-04
+2022-09-18 19:47:34,492 INFO [train.py:885] (0/2) Epoch 21, batch 8050, loss[loss=0.1913, simple_loss=0.2557, pruned_loss=0.06341, over 13118.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1059, over 33.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.35, pruned_loss=0.1044, over 2779315.33 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07371, over 45071.06 utterances.], batch size: 33, lr: 2.23e-04
+2022-09-18 19:48:04,286 INFO [train.py:885] (0/2) Epoch 21, batch 8100, loss[loss=0.2994, simple_loss=0.3935, pruned_loss=0.1027, over 13747.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07304, over 411.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3463, pruned_loss=0.1026, over 2784142.00 frames. utt_duration=258 frames, utt_pad_proportion=0.0701, over 43419.47 utterances.], batch size: 411, lr: 2.23e-04
+2022-09-18 19:48:33,017 INFO [train.py:885] (0/2) Epoch 21, batch 8150, loss[loss=0.1595, simple_loss=0.1917, pruned_loss=0.06368, over 12510.00 frames. utt_duration=2086 frames, utt_pad_proportion=0.1457, over 24.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.345, pruned_loss=0.1019, over 2784156.70 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06963, over 43396.10 utterances.], batch size: 24, lr: 2.23e-04
+2022-09-18 19:49:02,936 INFO [train.py:885] (0/2) Epoch 21, batch 8200, loss[loss=0.3897, simple_loss=0.4368, pruned_loss=0.1713, over 14241.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04187, over 335.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3471, pruned_loss=0.1032, over 2782111.25 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07062, over 44005.59 utterances.], batch size: 335, lr: 2.23e-04
+2022-09-18 19:49:32,151 INFO [train.py:885] (0/2) Epoch 21, batch 8250, loss[loss=0.3989, simple_loss=0.4552, pruned_loss=0.1713, over 14026.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05393, over 365.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.346, pruned_loss=0.1031, over 2782559.99 frames. utt_duration=261.3 frames, utt_pad_proportion=0.0688, over 42844.79 utterances.], batch size: 365, lr: 2.23e-04
+2022-09-18 19:50:01,892 INFO [train.py:885] (0/2) Epoch 21, batch 8300, loss[loss=0.3718, simple_loss=0.4255, pruned_loss=0.1591, over 14255.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04174, over 335.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3505, pruned_loss=0.1054, over 2785469.74 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06843, over 44488.45 utterances.], batch size: 335, lr: 2.23e-04
+2022-09-18 19:50:31,233 INFO [train.py:885] (0/2) Epoch 21, batch 8350, loss[loss=0.3656, simple_loss=0.4138, pruned_loss=0.1587, over 14264.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04147, over 335.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3505, pruned_loss=0.1055, over 2778846.58 frames. utt_duration=250 frames, utt_pad_proportion=0.0713, over 44731.62 utterances.], batch size: 335, lr: 2.23e-04
+2022-09-18 19:51:01,148 INFO [train.py:885] (0/2) Epoch 21, batch 8400, loss[loss=0.2254, simple_loss=0.3047, pruned_loss=0.07302, over 14181.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04429, over 109.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3521, pruned_loss=0.1066, over 2779593.38 frames. utt_duration=249 frames, utt_pad_proportion=0.07113, over 44909.90 utterances.], batch size: 109, lr: 2.23e-04
+2022-09-18 19:51:30,200 INFO [train.py:885] (0/2) Epoch 21, batch 8450, loss[loss=0.2329, simple_loss=0.2978, pruned_loss=0.08401, over 14105.00 frames. utt_duration=577 frames, utt_pad_proportion=0.051, over 98.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3503, pruned_loss=0.1051, over 2780528.73 frames. utt_duration=251 frames, utt_pad_proportion=0.07147, over 44569.68 utterances.], batch size: 98, lr: 2.23e-04
+2022-09-18 19:51:59,855 INFO [train.py:885] (0/2) Epoch 21, batch 8500, loss[loss=0.3612, simple_loss=0.4326, pruned_loss=0.1449, over 14000.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05601, over 365.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3522, pruned_loss=0.1063, over 2779539.10 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07136, over 45385.79 utterances.], batch size: 365, lr: 2.23e-04
+2022-09-18 19:52:28,692 INFO [train.py:885] (0/2) Epoch 21, batch 8550, loss[loss=0.2495, simple_loss=0.3225, pruned_loss=0.08821, over 14303.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04116, over 154.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.355, pruned_loss=0.1079, over 2780511.32 frames. utt_duration=240 frames, utt_pad_proportion=0.07075, over 46625.06 utterances.], batch size: 154, lr: 2.23e-04
+2022-09-18 19:52:58,623 INFO [train.py:885] (0/2) Epoch 21, batch 8600, loss[loss=0.1768, simple_loss=0.2607, pruned_loss=0.04642, over 14197.00 frames. utt_duration=639.6 frames, utt_pad_proportion=0.04687, over 89.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3525, pruned_loss=0.106, over 2786276.60 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06877, over 45306.72 utterances.], batch size: 89, lr: 2.23e-04
+2022-09-18 19:53:27,786 INFO [train.py:885] (0/2) Epoch 21, batch 8650, loss[loss=0.1735, simple_loss=0.2435, pruned_loss=0.05175, over 13451.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.0825, over 41.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3511, pruned_loss=0.1053, over 2783063.75 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07195, over 45602.27 utterances.], batch size: 41, lr: 2.23e-04
+2022-09-18 19:53:57,830 INFO [train.py:885] (0/2) Epoch 21, batch 8700, loss[loss=0.1863, simple_loss=0.2674, pruned_loss=0.05261, over 13880.00 frames. utt_duration=926.8 frames, utt_pad_proportion=0.06856, over 60.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3529, pruned_loss=0.1063, over 2777928.63 frames. utt_duration=240 frames, utt_pad_proportion=0.07454, over 46581.62 utterances.], batch size: 60, lr: 2.23e-04
+2022-09-18 19:54:26,533 INFO [train.py:885] (0/2) Epoch 21, batch 8750, loss[loss=0.1873, simple_loss=0.2593, pruned_loss=0.05763, over 13967.00 frames. utt_duration=708.6 frames, utt_pad_proportion=0.0602, over 79.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3468, pruned_loss=0.1031, over 2776786.78 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07316, over 44559.58 utterances.], batch size: 79, lr: 2.22e-04
+2022-09-18 19:54:57,322 INFO [train.py:885] (0/2) Epoch 21, batch 8800, loss[loss=0.2053, simple_loss=0.2927, pruned_loss=0.05897, over 14045.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05454, over 98.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3506, pruned_loss=0.1046, over 2777646.56 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07276, over 46108.06 utterances.], batch size: 98, lr: 2.22e-04
+2022-09-18 19:55:27,174 INFO [train.py:885] (0/2) Epoch 21, batch 8850, loss[loss=0.2606, simple_loss=0.3601, pruned_loss=0.08056, over 13952.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05899, over 365.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3485, pruned_loss=0.1035, over 2777177.37 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07112, over 45090.82 utterances.], batch size: 365, lr: 2.22e-04
+2022-09-18 19:55:56,089 INFO [train.py:885] (0/2) Epoch 21, batch 8900, loss[loss=0.2156, simple_loss=0.2825, pruned_loss=0.07429, over 13887.00 frames. utt_duration=806.5 frames, utt_pad_proportion=0.06113, over 69.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.351, pruned_loss=0.1051, over 2779996.79 frames. utt_duration=245 frames, utt_pad_proportion=0.07106, over 45659.31 utterances.], batch size: 69, lr: 2.22e-04
+2022-09-18 19:56:25,857 INFO [train.py:885] (0/2) Epoch 21, batch 8950, loss[loss=0.2809, simple_loss=0.3573, pruned_loss=0.1023, over 14361.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03851, over 167.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3519, pruned_loss=0.105, over 2781062.90 frames. utt_duration=240 frames, utt_pad_proportion=0.07185, over 46645.69 utterances.], batch size: 167, lr: 2.22e-04
+2022-09-18 19:56:55,229 INFO [train.py:885] (0/2) Epoch 21, batch 9000, loss[loss=0.2436, simple_loss=0.3096, pruned_loss=0.08879, over 14270.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.04537, over 110.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3496, pruned_loss=0.1039, over 2779979.48 frames. utt_duration=248 frames, utt_pad_proportion=0.07297, over 45110.59 utterances.], batch size: 110, lr: 2.22e-04
+2022-09-18 19:56:55,230 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 19:56:59,475 INFO [train.py:914] (0/2) Epoch 21, validation: loss=0.1874, simple_loss=0.2668, pruned_loss=0.05397, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 19:57:29,145 INFO [train.py:885] (0/2) Epoch 21, batch 9050, loss[loss=0.215, simple_loss=0.2932, pruned_loss=0.06837, over 13808.00 frames. utt_duration=922 frames, utt_pad_proportion=0.07333, over 60.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3468, pruned_loss=0.1023, over 2780938.66 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07141, over 44544.12 utterances.], batch size: 60, lr: 2.22e-04
+2022-09-18 19:57:59,012 INFO [train.py:885] (0/2) Epoch 21, batch 9100, loss[loss=0.2668, simple_loss=0.3477, pruned_loss=0.09291, over 14370.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03753, over 167.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3472, pruned_loss=0.1027, over 2778319.88 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07214, over 44572.74 utterances.], batch size: 167, lr: 2.22e-04
+2022-09-18 19:58:28,516 INFO [train.py:885] (0/2) Epoch 21, batch 9150, loss[loss=0.4393, simple_loss=0.5095, pruned_loss=0.1846, over 13651.00 frames. utt_duration=98.88 frames, utt_pad_proportion=0.07585, over 560.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3497, pruned_loss=0.1043, over 2775491.59 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07483, over 45276.02 utterances.], batch size: 560, lr: 2.22e-04
+2022-09-18 19:58:57,533 INFO [train.py:885] (0/2) Epoch 21, batch 9200, loss[loss=0.3286, simple_loss=0.3876, pruned_loss=0.1348, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03911, over 180.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3482, pruned_loss=0.1035, over 2776946.79 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07344, over 44488.71 utterances.], batch size: 180, lr: 2.22e-04
+2022-09-18 19:59:27,489 INFO [train.py:885] (0/2) Epoch 21, batch 9250, loss[loss=0.3468, simple_loss=0.3863, pruned_loss=0.1536, over 14358.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.03436, over 130.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3536, pruned_loss=0.1067, over 2778318.38 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07338, over 46307.06 utterances.], batch size: 130, lr: 2.22e-04
+2022-09-18 19:59:57,928 INFO [train.py:885] (0/2) Epoch 21, batch 9300, loss[loss=0.3329, simple_loss=0.3966, pruned_loss=0.1346, over 14357.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03644, over 283.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3554, pruned_loss=0.1073, over 2780064.86 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07266, over 47147.39 utterances.], batch size: 283, lr: 2.22e-04
+2022-09-18 20:00:26,370 INFO [train.py:885] (0/2) Epoch 21, batch 9350, loss[loss=0.2479, simple_loss=0.3222, pruned_loss=0.08682, over 14302.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03826, over 130.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3505, pruned_loss=0.105, over 2785623.33 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06983, over 44618.66 utterances.], batch size: 130, lr: 2.22e-04
+2022-09-18 20:00:56,258 INFO [train.py:885] (0/2) Epoch 21, batch 9400, loss[loss=0.1661, simple_loss=0.2236, pruned_loss=0.05429, over 12745.00 frames. utt_duration=2041 frames, utt_pad_proportion=0.1208, over 25.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3512, pruned_loss=0.1055, over 2782349.40 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07083, over 44795.53 utterances.], batch size: 25, lr: 2.22e-04
+2022-09-18 20:01:25,937 INFO [train.py:885] (0/2) Epoch 21, batch 9450, loss[loss=0.2531, simple_loss=0.3277, pruned_loss=0.0893, over 14246.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04596, over 141.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.35, pruned_loss=0.1041, over 2782928.41 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06946, over 44910.08 utterances.], batch size: 141, lr: 2.22e-04
+2022-09-18 20:01:55,966 INFO [train.py:885] (0/2) Epoch 21, batch 9500, loss[loss=0.3206, simple_loss=0.3961, pruned_loss=0.1226, over 14200.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04487, over 306.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3501, pruned_loss=0.104, over 2779271.73 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07055, over 45357.60 utterances.], batch size: 306, lr: 2.22e-04
+2022-09-18 20:02:25,363 INFO [train.py:885] (0/2) Epoch 21, batch 9550, loss[loss=0.2658, simple_loss=0.3429, pruned_loss=0.09433, over 14287.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03951, over 154.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3498, pruned_loss=0.1044, over 2781955.49 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06906, over 45036.65 utterances.], batch size: 154, lr: 2.22e-04
+2022-09-18 20:02:54,936 INFO [train.py:885] (0/2) Epoch 21, batch 9600, loss[loss=0.3374, simple_loss=0.4297, pruned_loss=0.1225, over 13606.00 frames. utt_duration=98.53 frames, utt_pad_proportion=0.07916, over 560.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3522, pruned_loss=0.1065, over 2777956.31 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07062, over 45587.56 utterances.], batch size: 560, lr: 2.22e-04
+2022-09-18 20:03:24,207 INFO [train.py:885] (0/2) Epoch 21, batch 9650, loss[loss=0.2669, simple_loss=0.3378, pruned_loss=0.09801, over 14303.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03834, over 130.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3535, pruned_loss=0.1071, over 2782181.73 frames. utt_duration=242 frames, utt_pad_proportion=0.06883, over 46260.15 utterances.], batch size: 130, lr: 2.22e-04
+2022-09-18 20:03:54,289 INFO [train.py:885] (0/2) Epoch 21, batch 9700, loss[loss=0.2178, simple_loss=0.2913, pruned_loss=0.07218, over 14070.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05288, over 98.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3526, pruned_loss=0.106, over 2777245.39 frames. utt_duration=241 frames, utt_pad_proportion=0.07148, over 46376.17 utterances.], batch size: 98, lr: 2.22e-04
+2022-09-18 20:04:23,276 INFO [train.py:885] (0/2) Epoch 21, batch 9750, loss[loss=0.2682, simple_loss=0.3436, pruned_loss=0.09635, over 14365.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.0379, over 167.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3527, pruned_loss=0.1059, over 2778374.73 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07179, over 46258.81 utterances.], batch size: 167, lr: 2.22e-04
+2022-09-18 20:04:53,098 INFO [train.py:885] (0/2) Epoch 21, batch 9800, loss[loss=0.1766, simple_loss=0.2559, pruned_loss=0.04868, over 13994.00 frames. utt_duration=934.5 frames, utt_pad_proportion=0.06082, over 60.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3532, pruned_loss=0.1059, over 2776415.56 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07244, over 47020.98 utterances.], batch size: 60, lr: 2.22e-04
+2022-09-18 20:05:22,728 INFO [train.py:885] (0/2) Epoch 21, batch 9850, loss[loss=0.2288, simple_loss=0.2875, pruned_loss=0.08508, over 13857.00 frames. utt_duration=804.5 frames, utt_pad_proportion=0.06344, over 69.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3537, pruned_loss=0.1064, over 2777074.11 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07303, over 46904.26 utterances.], batch size: 69, lr: 2.22e-04
+2022-09-18 20:05:52,117 INFO [train.py:885] (0/2) Epoch 21, batch 9900, loss[loss=0.2556, simple_loss=0.3284, pruned_loss=0.09139, over 14296.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04143, over 154.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3529, pruned_loss=0.1066, over 2782591.12 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07011, over 45757.52 utterances.], batch size: 154, lr: 2.22e-04
+2022-09-18 20:06:21,410 INFO [train.py:885] (0/2) Epoch 21, batch 9950, loss[loss=0.3258, simple_loss=0.3898, pruned_loss=0.1309, over 14328.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03759, over 210.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3524, pruned_loss=0.1062, over 2778489.02 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07257, over 45332.10 utterances.], batch size: 210, lr: 2.22e-04
+2022-09-18 20:06:51,377 INFO [train.py:885] (0/2) Epoch 21, batch 10000, loss[loss=0.2015, simple_loss=0.284, pruned_loss=0.05945, over 14324.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03647, over 120.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.354, pruned_loss=0.1068, over 2775808.36 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07353, over 46702.80 utterances.], batch size: 120, lr: 2.22e-04
+2022-09-18 20:07:20,709 INFO [train.py:885] (0/2) Epoch 21, batch 10050, loss[loss=0.1871, simple_loss=0.248, pruned_loss=0.06312, over 12934.00 frames. utt_duration=1570 frames, utt_pad_proportion=0.1182, over 33.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3501, pruned_loss=0.1046, over 2770904.95 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07445, over 45005.58 utterances.], batch size: 33, lr: 2.22e-04
+2022-09-18 20:07:50,514 INFO [train.py:885] (0/2) Epoch 21, batch 10100, loss[loss=0.3369, simple_loss=0.4159, pruned_loss=0.129, over 13987.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05715, over 365.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3504, pruned_loss=0.1039, over 2775691.72 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07231, over 45489.63 utterances.], batch size: 365, lr: 2.22e-04
+2022-09-18 20:08:19,090 INFO [train.py:885] (0/2) Epoch 21, batch 10150, loss[loss=0.2894, simple_loss=0.349, pruned_loss=0.1149, over 14239.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04629, over 141.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3486, pruned_loss=0.1034, over 2777548.46 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07052, over 44499.35 utterances.], batch size: 141, lr: 2.22e-04
+2022-09-18 20:08:50,018 INFO [train.py:885] (0/2) Epoch 21, batch 10200, loss[loss=0.2935, simple_loss=0.3678, pruned_loss=0.1096, over 14322.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0386, over 283.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3493, pruned_loss=0.1037, over 2776394.39 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07116, over 44953.03 utterances.], batch size: 283, lr: 2.22e-04
+2022-09-18 20:09:19,366 INFO [train.py:885] (0/2) Epoch 21, batch 10250, loss[loss=0.2653, simple_loss=0.3384, pruned_loss=0.0961, over 14349.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03906, over 167.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.352, pruned_loss=0.1051, over 2777509.76 frames. utt_duration=244 frames, utt_pad_proportion=0.07177, over 45812.18 utterances.], batch size: 167, lr: 2.22e-04
+2022-09-18 20:09:48,823 INFO [train.py:885] (0/2) Epoch 21, batch 10300, loss[loss=0.3023, simple_loss=0.3965, pruned_loss=0.104, over 13982.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05698, over 365.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3543, pruned_loss=0.1066, over 2777129.71 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07175, over 46363.39 utterances.], batch size: 365, lr: 2.22e-04
+2022-09-18 20:10:18,416 INFO [train.py:885] (0/2) Epoch 21, batch 10350, loss[loss=0.3031, simple_loss=0.3817, pruned_loss=0.1123, over 14233.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04282, over 306.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3535, pruned_loss=0.1066, over 2779456.34 frames. utt_duration=242 frames, utt_pad_proportion=0.07048, over 46219.47 utterances.], batch size: 306, lr: 2.22e-04
+2022-09-18 20:10:48,666 INFO [train.py:885] (0/2) Epoch 21, batch 10400, loss[loss=0.3071, simple_loss=0.3756, pruned_loss=0.1193, over 14302.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03917, over 195.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3515, pruned_loss=0.1046, over 2776732.87 frames. utt_duration=239 frames, utt_pad_proportion=0.07171, over 46757.83 utterances.], batch size: 195, lr: 2.22e-04
+2022-09-18 20:11:17,840 INFO [train.py:885] (0/2) Epoch 21, batch 10450, loss[loss=0.274, simple_loss=0.3464, pruned_loss=0.1008, over 14320.00 frames. utt_duration=220 frames, utt_pad_proportion=0.0392, over 262.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3506, pruned_loss=0.1044, over 2776849.42 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07257, over 46443.90 utterances.], batch size: 262, lr: 2.22e-04
+2022-09-18 20:11:47,654 INFO [train.py:885] (0/2) Epoch 21, batch 10500, loss[loss=0.3599, simple_loss=0.4482, pruned_loss=0.1358, over 13593.00 frames. utt_duration=98.56 frames, utt_pad_proportion=0.07889, over 560.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3504, pruned_loss=0.1048, over 2777193.45 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07258, over 45656.77 utterances.], batch size: 560, lr: 2.22e-04
+2022-09-18 20:12:17,217 INFO [train.py:885] (0/2) Epoch 21, batch 10550, loss[loss=0.2526, simple_loss=0.3356, pruned_loss=0.08477, over 14254.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04512, over 141.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.352, pruned_loss=0.1052, over 2775931.90 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07293, over 46376.67 utterances.], batch size: 141, lr: 2.22e-04
+2022-09-18 20:12:47,034 INFO [train.py:885] (0/2) Epoch 21, batch 10600, loss[loss=0.3088, simple_loss=0.4014, pruned_loss=0.1081, over 13798.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06984, over 411.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3501, pruned_loss=0.1042, over 2784340.91 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06899, over 44938.77 utterances.], batch size: 411, lr: 2.22e-04
+2022-09-18 20:13:16,130 INFO [train.py:885] (0/2) Epoch 21, batch 10650, loss[loss=0.3318, simple_loss=0.3925, pruned_loss=0.1355, over 14364.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03479, over 210.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3514, pruned_loss=0.1048, over 2780670.69 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07072, over 45459.23 utterances.], batch size: 210, lr: 2.22e-04
+2022-09-18 20:13:46,231 INFO [train.py:885] (0/2) Epoch 21, batch 10700, loss[loss=0.2978, simple_loss=0.3676, pruned_loss=0.1141, over 14358.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03564, over 210.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3519, pruned_loss=0.1058, over 2780505.27 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07203, over 45214.15 utterances.], batch size: 210, lr: 2.22e-04
+2022-09-18 20:14:16,507 INFO [train.py:885] (0/2) Epoch 21, batch 10750, loss[loss=0.3198, simple_loss=0.3823, pruned_loss=0.1287, over 14288.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03957, over 180.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3545, pruned_loss=0.107, over 2778620.31 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07222, over 46432.24 utterances.], batch size: 180, lr: 2.22e-04
+2022-09-18 20:14:45,626 INFO [train.py:885] (0/2) Epoch 21, batch 10800, loss[loss=0.1757, simple_loss=0.2439, pruned_loss=0.0538, over 12388.00 frames. utt_duration=2066 frames, utt_pad_proportion=0.1459, over 24.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3501, pruned_loss=0.1048, over 2781275.50 frames. utt_duration=253 frames, utt_pad_proportion=0.07054, over 44237.54 utterances.], batch size: 24, lr: 2.22e-04
+2022-09-18 20:15:14,663 INFO [train.py:885] (0/2) Epoch 21, batch 10850, loss[loss=0.201, simple_loss=0.2662, pruned_loss=0.06792, over 14235.00 frames. utt_duration=641.2 frames, utt_pad_proportion=0.04442, over 89.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3479, pruned_loss=0.1041, over 2778675.39 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06994, over 43602.15 utterances.], batch size: 89, lr: 2.22e-04
+2022-09-18 20:15:44,661 INFO [train.py:885] (0/2) Epoch 21, batch 10900, loss[loss=0.3181, simple_loss=0.4134, pruned_loss=0.1114, over 13658.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0793, over 477.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3503, pruned_loss=0.1046, over 2782009.48 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07025, over 44805.31 utterances.], batch size: 477, lr: 2.22e-04
+2022-09-18 20:16:14,053 INFO [train.py:885] (0/2) Epoch 21, batch 10950, loss[loss=0.2461, simple_loss=0.3206, pruned_loss=0.08582, over 14231.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04671, over 141.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3454, pruned_loss=0.1016, over 2781705.94 frames. utt_duration=258.5 frames, utt_pad_proportion=0.07065, over 43286.07 utterances.], batch size: 141, lr: 2.22e-04
+2022-09-18 20:16:43,914 INFO [train.py:885] (0/2) Epoch 21, batch 11000, loss[loss=0.3633, simple_loss=0.4148, pruned_loss=0.1559, over 14337.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03691, over 210.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3469, pruned_loss=0.1022, over 2780527.74 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06991, over 44161.28 utterances.], batch size: 210, lr: 2.22e-04
+2022-09-18 20:17:13,769 INFO [train.py:885] (0/2) Epoch 21, batch 11050, loss[loss=0.3847, simple_loss=0.4763, pruned_loss=0.1465, over 13143.00 frames. utt_duration=82.07 frames, utt_pad_proportion=0.1079, over 653.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3483, pruned_loss=0.1034, over 2787809.75 frames. utt_duration=253.2 frames, utt_pad_proportion=0.0675, over 44298.53 utterances.], batch size: 653, lr: 2.22e-04
+2022-09-18 20:17:43,950 INFO [train.py:885] (0/2) Epoch 21, batch 11100, loss[loss=0.1916, simple_loss=0.2654, pruned_loss=0.05889, over 13910.00 frames. utt_duration=705.9 frames, utt_pad_proportion=0.06632, over 79.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3502, pruned_loss=0.1045, over 2785088.91 frames. utt_duration=249 frames, utt_pad_proportion=0.0701, over 45005.05 utterances.], batch size: 79, lr: 2.22e-04
+2022-09-18 20:18:13,622 INFO [train.py:885] (0/2) Epoch 21, batch 11150, loss[loss=0.3234, simple_loss=0.3859, pruned_loss=0.1304, over 14227.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04297, over 306.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.352, pruned_loss=0.1043, over 2780486.46 frames. utt_duration=238 frames, utt_pad_proportion=0.07283, over 47012.17 utterances.], batch size: 306, lr: 2.21e-04
+2022-09-18 20:18:43,131 INFO [train.py:885] (0/2) Epoch 21, batch 11200, loss[loss=0.2407, simple_loss=0.3247, pruned_loss=0.07833, over 14331.00 frames. utt_duration=479 frames, utt_pad_proportion=0.03814, over 120.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3499, pruned_loss=0.1037, over 2779515.59 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07291, over 45965.22 utterances.], batch size: 120, lr: 2.21e-04
+2022-09-18 20:19:12,609 INFO [train.py:885] (0/2) Epoch 21, batch 11250, loss[loss=0.187, simple_loss=0.2612, pruned_loss=0.05637, over 13859.00 frames. utt_duration=805 frames, utt_pad_proportion=0.06291, over 69.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3503, pruned_loss=0.1034, over 2781323.90 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07166, over 45978.55 utterances.], batch size: 69, lr: 2.21e-04
+2022-09-18 20:19:42,561 INFO [train.py:885] (0/2) Epoch 21, batch 11300, loss[loss=0.171, simple_loss=0.2315, pruned_loss=0.05528, over 13081.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1192, over 33.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3539, pruned_loss=0.106, over 2784726.01 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07187, over 46582.92 utterances.], batch size: 33, lr: 2.21e-04
+2022-09-18 20:20:12,297 INFO [train.py:885] (0/2) Epoch 21, batch 11350, loss[loss=0.1827, simple_loss=0.2493, pruned_loss=0.05803, over 13654.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08044, over 50.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3549, pruned_loss=0.1065, over 2786920.35 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07156, over 46873.31 utterances.], batch size: 50, lr: 2.21e-04
+2022-09-18 20:20:42,146 INFO [train.py:885] (0/2) Epoch 21, batch 11400, loss[loss=0.1811, simple_loss=0.2589, pruned_loss=0.05164, over 13411.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08537, over 41.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3538, pruned_loss=0.1059, over 2782571.55 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0723, over 47246.82 utterances.], batch size: 41, lr: 2.21e-04
+2022-09-18 20:21:13,554 INFO [train.py:885] (0/2) Epoch 21, batch 11450, loss[loss=0.2842, simple_loss=0.3577, pruned_loss=0.1054, over 14265.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0405, over 225.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3527, pruned_loss=0.1053, over 2782061.92 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07262, over 47118.11 utterances.], batch size: 225, lr: 2.21e-04
+2022-09-18 20:21:42,883 INFO [train.py:885] (0/2) Epoch 21, batch 11500, loss[loss=0.295, simple_loss=0.3682, pruned_loss=0.1109, over 14339.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.0373, over 283.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3473, pruned_loss=0.1029, over 2782799.32 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07037, over 44576.61 utterances.], batch size: 283, lr: 2.21e-04
+2022-09-18 20:22:12,399 INFO [train.py:885] (0/2) Epoch 21, batch 11550, loss[loss=0.3494, simple_loss=0.4286, pruned_loss=0.1351, over 13764.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07196, over 411.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3486, pruned_loss=0.1039, over 2783124.64 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07017, over 44713.90 utterances.], batch size: 411, lr: 2.21e-04
+2022-09-18 20:22:41,938 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-264000.pt
+2022-09-18 20:22:42,440 INFO [train.py:885] (0/2) Epoch 21, batch 11600, loss[loss=0.2351, simple_loss=0.299, pruned_loss=0.08561, over 14080.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05532, over 98.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.348, pruned_loss=0.1038, over 2781032.73 frames. utt_duration=255.7 frames, utt_pad_proportion=0.0686, over 43756.89 utterances.], batch size: 98, lr: 2.21e-04
+2022-09-18 20:23:12,773 INFO [train.py:885] (0/2) Epoch 21, batch 11650, loss[loss=0.4753, simple_loss=0.5704, pruned_loss=0.1901, over 12541.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1434, over 811.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3502, pruned_loss=0.1042, over 2781509.13 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07107, over 45455.14 utterances.], batch size: 811, lr: 2.21e-04
+2022-09-18 20:23:42,422 INFO [train.py:885] (0/2) Epoch 21, batch 11700, loss[loss=0.1561, simple_loss=0.2251, pruned_loss=0.04354, over 13562.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08612, over 50.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3486, pruned_loss=0.1034, over 2781398.47 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06946, over 44958.54 utterances.], batch size: 50, lr: 2.21e-04
+2022-09-18 20:24:12,008 INFO [train.py:885] (0/2) Epoch 21, batch 11750, loss[loss=0.2539, simple_loss=0.3334, pruned_loss=0.08721, over 14282.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04235, over 154.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3512, pruned_loss=0.1049, over 2780662.66 frames. utt_duration=243 frames, utt_pad_proportion=0.07131, over 46053.01 utterances.], batch size: 154, lr: 2.21e-04
+2022-09-18 20:24:41,286 INFO [train.py:885] (0/2) Epoch 21, batch 11800, loss[loss=0.235, simple_loss=0.3167, pruned_loss=0.07662, over 14280.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.04113, over 120.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3498, pruned_loss=0.105, over 2780430.75 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07123, over 44015.57 utterances.], batch size: 120, lr: 2.21e-04
+2022-09-18 20:25:10,905 INFO [train.py:885] (0/2) Epoch 21, batch 11850, loss[loss=0.1846, simple_loss=0.2586, pruned_loss=0.05534, over 13845.00 frames. utt_duration=924.5 frames, utt_pad_proportion=0.07087, over 60.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3521, pruned_loss=0.1056, over 2781931.95 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07091, over 45202.77 utterances.], batch size: 60, lr: 2.21e-04
+2022-09-18 20:25:40,352 INFO [train.py:885] (0/2) Epoch 21, batch 11900, loss[loss=0.4172, simple_loss=0.456, pruned_loss=0.1892, over 14286.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.0409, over 262.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3525, pruned_loss=0.1057, over 2781525.53 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07174, over 46085.63 utterances.], batch size: 262, lr: 2.21e-04
+2022-09-18 20:26:10,349 INFO [train.py:885] (0/2) Epoch 21, batch 11950, loss[loss=0.3714, simple_loss=0.4236, pruned_loss=0.1596, over 14217.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04424, over 335.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3539, pruned_loss=0.1067, over 2775862.72 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07426, over 46646.28 utterances.], batch size: 335, lr: 2.21e-04
+2022-09-18 20:26:39,629 INFO [train.py:885] (0/2) Epoch 21, batch 12000, loss[loss=0.2982, simple_loss=0.3967, pruned_loss=0.09982, over 13626.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08081, over 477.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3557, pruned_loss=0.107, over 2778311.87 frames. utt_duration=231.6 frames, utt_pad_proportion=0.0749, over 48288.22 utterances.], batch size: 477, lr: 2.21e-04
+2022-09-18 20:26:39,630 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 20:26:44,575 INFO [train.py:914] (0/2) Epoch 21, validation: loss=0.1935, simple_loss=0.2741, pruned_loss=0.05641, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 20:27:14,245 INFO [train.py:885] (0/2) Epoch 21, batch 12050, loss[loss=0.3138, simple_loss=0.3749, pruned_loss=0.1264, over 14295.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04121, over 154.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.355, pruned_loss=0.1067, over 2784439.70 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07253, over 47776.61 utterances.], batch size: 154, lr: 2.21e-04
+2022-09-18 20:27:43,809 INFO [train.py:885] (0/2) Epoch 21, batch 12100, loss[loss=0.2912, simple_loss=0.3909, pruned_loss=0.0957, over 13732.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07403, over 411.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3542, pruned_loss=0.1059, over 2785475.85 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07109, over 47783.13 utterances.], batch size: 411, lr: 2.21e-04
+2022-09-18 20:28:13,967 INFO [train.py:885] (0/2) Epoch 21, batch 12150, loss[loss=0.2271, simple_loss=0.3084, pruned_loss=0.07287, over 14135.00 frames. utt_duration=578.5 frames, utt_pad_proportion=0.05003, over 98.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3527, pruned_loss=0.1054, over 2786839.79 frames. utt_duration=239.6 frames, utt_pad_proportion=0.06974, over 46809.61 utterances.], batch size: 98, lr: 2.21e-04
+2022-09-18 20:28:43,250 INFO [train.py:885] (0/2) Epoch 21, batch 12200, loss[loss=0.4023, simple_loss=0.481, pruned_loss=0.1618, over 13640.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.07652, over 560.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3541, pruned_loss=0.1065, over 2787969.22 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06985, over 46537.39 utterances.], batch size: 560, lr: 2.21e-04
+2022-09-18 20:29:12,837 INFO [train.py:885] (0/2) Epoch 21, batch 12250, loss[loss=0.3065, simple_loss=0.3717, pruned_loss=0.1207, over 14278.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04033, over 225.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3569, pruned_loss=0.1088, over 2785554.69 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07083, over 47186.98 utterances.], batch size: 225, lr: 2.21e-04
+2022-09-18 20:29:42,511 INFO [train.py:885] (0/2) Epoch 21, batch 12300, loss[loss=0.2857, simple_loss=0.3597, pruned_loss=0.1059, over 14234.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04275, over 306.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.354, pruned_loss=0.1075, over 2787296.18 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06833, over 46306.88 utterances.], batch size: 306, lr: 2.21e-04
+2022-09-18 20:30:12,288 INFO [train.py:885] (0/2) Epoch 21, batch 12350, loss[loss=0.4952, simple_loss=0.5872, pruned_loss=0.2016, over 12480.00 frames. utt_duration=63.22 frames, utt_pad_proportion=0.1457, over 810.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3546, pruned_loss=0.1076, over 2782467.87 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07243, over 47143.17 utterances.], batch size: 810, lr: 2.21e-04
+2022-09-18 20:30:42,048 INFO [train.py:885] (0/2) Epoch 21, batch 12400, loss[loss=0.3271, simple_loss=0.3888, pruned_loss=0.1327, over 14392.00 frames. utt_duration=296.7 frames, utt_pad_proportion=0.03356, over 195.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3518, pruned_loss=0.1058, over 2784259.20 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06954, over 45766.91 utterances.], batch size: 195, lr: 2.21e-04
+2022-09-18 20:31:11,611 INFO [train.py:885] (0/2) Epoch 21, batch 12450, loss[loss=0.3128, simple_loss=0.3915, pruned_loss=0.117, over 13995.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05819, over 366.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3497, pruned_loss=0.1049, over 2784253.11 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07046, over 45337.42 utterances.], batch size: 366, lr: 2.21e-04
+2022-09-18 20:31:41,857 INFO [train.py:885] (0/2) Epoch 21, batch 12500, loss[loss=0.3944, simple_loss=0.4314, pruned_loss=0.1786, over 14210.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04459, over 335.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3512, pruned_loss=0.1049, over 2782058.80 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07136, over 46252.62 utterances.], batch size: 335, lr: 2.21e-04
+2022-09-18 20:32:11,168 INFO [train.py:885] (0/2) Epoch 21, batch 12550, loss[loss=0.5035, simple_loss=0.5916, pruned_loss=0.2077, over 12424.00 frames. utt_duration=62.92 frames, utt_pad_proportion=0.1497, over 810.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3543, pruned_loss=0.1063, over 2778063.10 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07374, over 47288.06 utterances.], batch size: 810, lr: 2.21e-04
+2022-09-18 20:32:39,417 INFO [train.py:885] (0/2) Epoch 21, batch 12600, loss[loss=0.2841, simple_loss=0.3496, pruned_loss=0.1093, over 14245.00 frames. utt_duration=318 frames, utt_pad_proportion=0.0423, over 180.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3585, pruned_loss=0.1081, over 2776568.52 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07521, over 49097.81 utterances.], batch size: 180, lr: 2.21e-04
+2022-09-18 20:32:50,484 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-21.pt
+2022-09-18 20:32:58,046 INFO [train.py:885] (0/2) Epoch 22, batch 0, loss[loss=0.2816, simple_loss=0.3767, pruned_loss=0.09326, over 14025.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05728, over 366.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3767, pruned_loss=0.09326, over 14025.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05728, over 366.00 utterances.], batch size: 366, lr: 2.16e-04
+2022-09-18 20:33:28,352 INFO [train.py:885] (0/2) Epoch 22, batch 50, loss[loss=0.2645, simple_loss=0.3359, pruned_loss=0.09653, over 14289.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.03965, over 154.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3582, pruned_loss=0.1079, over 624384.71 frames. utt_duration=224.6 frames, utt_pad_proportion=0.08156, over 11193.25 utterances.], batch size: 154, lr: 2.16e-04
+2022-09-18 20:33:58,084 INFO [train.py:885] (0/2) Epoch 22, batch 100, loss[loss=0.2753, simple_loss=0.3529, pruned_loss=0.09884, over 14379.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03513, over 211.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3576, pruned_loss=0.108, over 1108672.59 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07482, over 19025.64 utterances.], batch size: 211, lr: 2.16e-04
+2022-09-18 20:34:27,346 INFO [train.py:885] (0/2) Epoch 22, batch 150, loss[loss=0.2204, simple_loss=0.269, pruned_loss=0.08584, over 13407.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.09827, over 50.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3496, pruned_loss=0.1032, over 1478704.18 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07379, over 24273.94 utterances.], batch size: 50, lr: 2.16e-04
+2022-09-18 20:34:57,376 INFO [train.py:885] (0/2) Epoch 22, batch 200, loss[loss=0.1727, simple_loss=0.2577, pruned_loss=0.04381, over 13300.00 frames. utt_duration=2048 frames, utt_pad_proportion=0.1039, over 26.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3465, pruned_loss=0.1017, over 1766082.17 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07458, over 28767.53 utterances.], batch size: 26, lr: 2.16e-04
+2022-09-18 20:35:27,294 INFO [train.py:885] (0/2) Epoch 22, batch 250, loss[loss=0.1817, simple_loss=0.2585, pruned_loss=0.0525, over 13578.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08434, over 50.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3416, pruned_loss=0.09952, over 1992773.34 frames. utt_duration=264.2 frames, utt_pad_proportion=0.06914, over 30336.16 utterances.], batch size: 50, lr: 2.16e-04
+2022-09-18 20:35:57,281 INFO [train.py:885] (0/2) Epoch 22, batch 300, loss[loss=0.348, simple_loss=0.4167, pruned_loss=0.1396, over 13975.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05742, over 365.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3446, pruned_loss=0.1009, over 2168317.49 frames. utt_duration=258 frames, utt_pad_proportion=0.06909, over 33814.60 utterances.], batch size: 365, lr: 2.16e-04
+2022-09-18 20:36:27,019 INFO [train.py:885] (0/2) Epoch 22, batch 350, loss[loss=0.2019, simple_loss=0.2774, pruned_loss=0.06323, over 12172.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1744, over 24.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3442, pruned_loss=0.1011, over 2307610.21 frames. utt_duration=263 frames, utt_pad_proportion=0.06861, over 35296.94 utterances.], batch size: 24, lr: 2.16e-04
+2022-09-18 20:36:56,865 INFO [train.py:885] (0/2) Epoch 22, batch 400, loss[loss=0.2553, simple_loss=0.3278, pruned_loss=0.09144, over 14269.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04239, over 130.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3483, pruned_loss=0.1035, over 2414059.06 frames. utt_duration=251.8 frames, utt_pad_proportion=0.0693, over 38574.75 utterances.], batch size: 130, lr: 2.16e-04
+2022-09-18 20:37:27,032 INFO [train.py:885] (0/2) Epoch 22, batch 450, loss[loss=0.1942, simple_loss=0.2688, pruned_loss=0.05984, over 14048.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05723, over 79.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3475, pruned_loss=0.1025, over 2498694.01 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06788, over 39387.99 utterances.], batch size: 79, lr: 2.16e-04
+2022-09-18 20:37:56,892 INFO [train.py:885] (0/2) Epoch 22, batch 500, loss[loss=0.259, simple_loss=0.3334, pruned_loss=0.09224, over 14130.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05065, over 98.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3424, pruned_loss=0.09992, over 2559109.25 frames. utt_duration=266.7 frames, utt_pad_proportion=0.06617, over 38594.45 utterances.], batch size: 98, lr: 2.16e-04
+2022-09-18 20:38:26,374 INFO [train.py:885] (0/2) Epoch 22, batch 550, loss[loss=0.4497, simple_loss=0.5233, pruned_loss=0.1881, over 13164.00 frames. utt_duration=82.21 frames, utt_pad_proportion=0.1064, over 653.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3422, pruned_loss=0.1004, over 2607595.59 frames. utt_duration=269.3 frames, utt_pad_proportion=0.0652, over 38940.54 utterances.], batch size: 653, lr: 2.16e-04
+2022-09-18 20:38:56,073 INFO [train.py:885] (0/2) Epoch 22, batch 600, loss[loss=0.3425, simple_loss=0.3999, pruned_loss=0.1425, over 14372.00 frames. utt_duration=275 frames, utt_pad_proportion=0.0351, over 210.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3458, pruned_loss=0.1025, over 2650296.35 frames. utt_duration=264 frames, utt_pad_proportion=0.06384, over 40384.06 utterances.], batch size: 210, lr: 2.16e-04
+2022-09-18 20:39:25,956 INFO [train.py:885] (0/2) Epoch 22, batch 650, loss[loss=0.3511, simple_loss=0.4106, pruned_loss=0.1458, over 14222.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04363, over 306.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3466, pruned_loss=0.1032, over 2678019.80 frames. utt_duration=262.6 frames, utt_pad_proportion=0.064, over 41014.91 utterances.], batch size: 306, lr: 2.16e-04
+2022-09-18 20:39:55,599 INFO [train.py:885] (0/2) Epoch 22, batch 700, loss[loss=0.3145, simple_loss=0.3827, pruned_loss=0.1232, over 14320.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03839, over 283.00 utterances.], tot_loss[loss=0.278, simple_loss=0.349, pruned_loss=0.1035, over 2700636.84 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06645, over 42904.73 utterances.], batch size: 283, lr: 2.16e-04
+2022-09-18 20:40:25,863 INFO [train.py:885] (0/2) Epoch 22, batch 750, loss[loss=0.2983, simple_loss=0.3574, pruned_loss=0.1196, over 14274.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04288, over 154.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3499, pruned_loss=0.1039, over 2718593.43 frames. utt_duration=249 frames, utt_pad_proportion=0.06711, over 43924.73 utterances.], batch size: 154, lr: 2.16e-04
+2022-09-18 20:40:54,972 INFO [train.py:885] (0/2) Epoch 22, batch 800, loss[loss=0.2506, simple_loss=0.3108, pruned_loss=0.09519, over 14011.00 frames. utt_duration=573 frames, utt_pad_proportion=0.05905, over 98.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3478, pruned_loss=0.1035, over 2733382.60 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06704, over 43339.12 utterances.], batch size: 98, lr: 2.16e-04
+2022-09-18 20:41:24,963 INFO [train.py:885] (0/2) Epoch 22, batch 850, loss[loss=0.279, simple_loss=0.3703, pruned_loss=0.09384, over 14002.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05593, over 365.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3499, pruned_loss=0.1044, over 2741179.06 frames. utt_duration=245.1 frames, utt_pad_proportion=0.0705, over 45015.95 utterances.], batch size: 365, lr: 2.16e-04
+2022-09-18 20:41:54,602 INFO [train.py:885] (0/2) Epoch 22, batch 900, loss[loss=0.2853, simple_loss=0.3563, pruned_loss=0.1072, over 14323.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03785, over 195.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3506, pruned_loss=0.1046, over 2752736.02 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06963, over 45045.57 utterances.], batch size: 195, lr: 2.16e-04
+2022-09-18 20:42:23,951 INFO [train.py:885] (0/2) Epoch 22, batch 950, loss[loss=0.2675, simple_loss=0.3616, pruned_loss=0.08663, over 13993.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05616, over 365.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3495, pruned_loss=0.1036, over 2758279.86 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06828, over 44774.97 utterances.], batch size: 365, lr: 2.16e-04
+2022-09-18 20:42:53,781 INFO [train.py:885] (0/2) Epoch 22, batch 1000, loss[loss=0.3031, simple_loss=0.372, pruned_loss=0.1171, over 14317.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04078, over 167.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3495, pruned_loss=0.1035, over 2764003.38 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06831, over 44375.52 utterances.], batch size: 167, lr: 2.16e-04
+2022-09-18 20:43:23,338 INFO [train.py:885] (0/2) Epoch 22, batch 1050, loss[loss=0.2522, simple_loss=0.3394, pruned_loss=0.08252, over 14279.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04016, over 180.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3474, pruned_loss=0.1027, over 2762890.80 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06988, over 43631.53 utterances.], batch size: 180, lr: 2.16e-04
+2022-09-18 20:43:53,070 INFO [train.py:885] (0/2) Epoch 22, batch 1100, loss[loss=0.4987, simple_loss=0.5893, pruned_loss=0.2041, over 12552.00 frames. utt_duration=63.5 frames, utt_pad_proportion=0.1418, over 810.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3509, pruned_loss=0.1035, over 2765059.16 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07089, over 46237.31 utterances.], batch size: 810, lr: 2.16e-04
+2022-09-18 20:44:22,017 INFO [train.py:885] (0/2) Epoch 22, batch 1150, loss[loss=0.3098, simple_loss=0.3807, pruned_loss=0.1195, over 14339.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03674, over 210.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3473, pruned_loss=0.1013, over 2769880.83 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06916, over 44465.77 utterances.], batch size: 210, lr: 2.15e-04
+2022-09-18 20:44:52,039 INFO [train.py:885] (0/2) Epoch 22, batch 1200, loss[loss=0.269, simple_loss=0.3396, pruned_loss=0.09915, over 14387.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.03236, over 130.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3483, pruned_loss=0.1026, over 2779239.23 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06711, over 44111.84 utterances.], batch size: 130, lr: 2.15e-04
+2022-09-18 20:45:21,655 INFO [train.py:885] (0/2) Epoch 22, batch 1250, loss[loss=0.48, simple_loss=0.524, pruned_loss=0.218, over 13780.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07123, over 411.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3544, pruned_loss=0.1059, over 2778099.85 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07069, over 46665.24 utterances.], batch size: 411, lr: 2.15e-04
+2022-09-18 20:45:51,715 INFO [train.py:885] (0/2) Epoch 22, batch 1300, loss[loss=0.3606, simple_loss=0.417, pruned_loss=0.1521, over 14258.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04146, over 335.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3524, pruned_loss=0.1051, over 2782273.96 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06875, over 45918.31 utterances.], batch size: 335, lr: 2.15e-04
+2022-09-18 20:46:21,628 INFO [train.py:885] (0/2) Epoch 22, batch 1350, loss[loss=0.3075, simple_loss=0.3737, pruned_loss=0.1206, over 14302.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03837, over 180.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3532, pruned_loss=0.1047, over 2787459.31 frames. utt_duration=242.3 frames, utt_pad_proportion=0.0668, over 46293.45 utterances.], batch size: 180, lr: 2.15e-04
+2022-09-18 20:46:51,646 INFO [train.py:885] (0/2) Epoch 22, batch 1400, loss[loss=0.2165, simple_loss=0.2776, pruned_loss=0.07771, over 14011.00 frames. utt_duration=710.8 frames, utt_pad_proportion=0.05972, over 79.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3542, pruned_loss=0.1057, over 2786499.36 frames. utt_duration=240.5 frames, utt_pad_proportion=0.06861, over 46630.08 utterances.], batch size: 79, lr: 2.15e-04
+2022-09-18 20:47:21,505 INFO [train.py:885] (0/2) Epoch 22, batch 1450, loss[loss=0.2969, simple_loss=0.3723, pruned_loss=0.1107, over 14199.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04512, over 306.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3534, pruned_loss=0.105, over 2786976.53 frames. utt_duration=239.6 frames, utt_pad_proportion=0.06867, over 46819.17 utterances.], batch size: 306, lr: 2.15e-04
+2022-09-18 20:47:50,430 INFO [train.py:885] (0/2) Epoch 22, batch 1500, loss[loss=0.3248, simple_loss=0.4053, pruned_loss=0.1221, over 13993.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05683, over 365.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3535, pruned_loss=0.1047, over 2789824.98 frames. utt_duration=241.2 frames, utt_pad_proportion=0.06871, over 46549.82 utterances.], batch size: 365, lr: 2.15e-04
+2022-09-18 20:48:19,626 INFO [train.py:885] (0/2) Epoch 22, batch 1550, loss[loss=0.2904, simple_loss=0.3597, pruned_loss=0.1105, over 14256.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04172, over 225.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3496, pruned_loss=0.1031, over 2791896.78 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06725, over 44584.48 utterances.], batch size: 225, lr: 2.15e-04
+2022-09-18 20:48:49,466 INFO [train.py:885] (0/2) Epoch 22, batch 1600, loss[loss=0.3102, simple_loss=0.4032, pruned_loss=0.1086, over 13801.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06934, over 411.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3505, pruned_loss=0.1036, over 2793711.50 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06623, over 44742.34 utterances.], batch size: 411, lr: 2.15e-04
+2022-09-18 20:49:19,035 INFO [train.py:885] (0/2) Epoch 22, batch 1650, loss[loss=0.1996, simple_loss=0.2655, pruned_loss=0.0669, over 12408.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.15, over 24.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3476, pruned_loss=0.1032, over 2784480.61 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06683, over 43127.12 utterances.], batch size: 24, lr: 2.15e-04
+2022-09-18 20:49:48,989 INFO [train.py:885] (0/2) Epoch 22, batch 1700, loss[loss=0.1819, simple_loss=0.257, pruned_loss=0.05343, over 14186.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04779, over 89.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3474, pruned_loss=0.1035, over 2784935.02 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06778, over 43526.01 utterances.], batch size: 89, lr: 2.15e-04
+2022-09-18 20:50:17,932 INFO [train.py:885] (0/2) Epoch 22, batch 1750, loss[loss=0.2547, simple_loss=0.3277, pruned_loss=0.09088, over 14340.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03764, over 130.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3463, pruned_loss=0.102, over 2787013.99 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06732, over 43522.48 utterances.], batch size: 130, lr: 2.15e-04
+2022-09-18 20:50:48,585 INFO [train.py:885] (0/2) Epoch 22, batch 1800, loss[loss=0.1847, simple_loss=0.2564, pruned_loss=0.05652, over 13850.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06478, over 69.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3515, pruned_loss=0.1049, over 2783912.57 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07227, over 45510.23 utterances.], batch size: 69, lr: 2.15e-04
+2022-09-18 20:51:17,390 INFO [train.py:885] (0/2) Epoch 22, batch 1850, loss[loss=0.1922, simple_loss=0.255, pruned_loss=0.06473, over 13690.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07844, over 50.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3483, pruned_loss=0.1034, over 2784920.66 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06937, over 44549.49 utterances.], batch size: 50, lr: 2.15e-04
+2022-09-18 20:51:46,470 INFO [train.py:885] (0/2) Epoch 22, batch 1900, loss[loss=0.2059, simple_loss=0.2697, pruned_loss=0.07108, over 13534.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08059, over 50.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.346, pruned_loss=0.1019, over 2786818.73 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06905, over 43644.52 utterances.], batch size: 50, lr: 2.15e-04
+2022-09-18 20:52:16,830 INFO [train.py:885] (0/2) Epoch 22, batch 1950, loss[loss=0.2778, simple_loss=0.3483, pruned_loss=0.1037, over 14329.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03666, over 180.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3501, pruned_loss=0.105, over 2783989.14 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07089, over 45127.90 utterances.], batch size: 180, lr: 2.15e-04
+2022-09-18 20:52:46,408 INFO [train.py:885] (0/2) Epoch 22, batch 2000, loss[loss=0.3352, simple_loss=0.4302, pruned_loss=0.1202, over 13612.00 frames. utt_duration=98.63 frames, utt_pad_proportion=0.07819, over 560.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3511, pruned_loss=0.1051, over 2785944.09 frames. utt_duration=247.3 frames, utt_pad_proportion=0.0696, over 45334.52 utterances.], batch size: 560, lr: 2.15e-04
+2022-09-18 20:53:16,221 INFO [train.py:885] (0/2) Epoch 22, batch 2050, loss[loss=0.2456, simple_loss=0.3227, pruned_loss=0.08428, over 14133.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.04703, over 109.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3535, pruned_loss=0.1059, over 2781712.10 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07131, over 46279.61 utterances.], batch size: 109, lr: 2.15e-04
+2022-09-18 20:53:45,405 INFO [train.py:885] (0/2) Epoch 22, batch 2100, loss[loss=0.2578, simple_loss=0.3145, pruned_loss=0.1006, over 14138.00 frames. utt_duration=636.9 frames, utt_pad_proportion=0.05085, over 89.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3543, pruned_loss=0.1063, over 2784864.84 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07072, over 46390.68 utterances.], batch size: 89, lr: 2.15e-04
+2022-09-18 20:54:15,432 INFO [train.py:885] (0/2) Epoch 22, batch 2150, loss[loss=0.5899, simple_loss=0.6457, pruned_loss=0.267, over 12461.00 frames. utt_duration=63.08 frames, utt_pad_proportion=0.1476, over 810.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.357, pruned_loss=0.1074, over 2783148.47 frames. utt_duration=234.1 frames, utt_pad_proportion=0.0726, over 47861.87 utterances.], batch size: 810, lr: 2.15e-04
+2022-09-18 20:54:44,602 INFO [train.py:885] (0/2) Epoch 22, batch 2200, loss[loss=0.2176, simple_loss=0.2974, pruned_loss=0.06893, over 14149.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04644, over 109.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3522, pruned_loss=0.1052, over 2783811.24 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07097, over 45822.90 utterances.], batch size: 109, lr: 2.15e-04
+2022-09-18 20:55:14,676 INFO [train.py:885] (0/2) Epoch 22, batch 2250, loss[loss=0.1984, simple_loss=0.2615, pruned_loss=0.06763, over 13858.00 frames. utt_duration=925.3 frames, utt_pad_proportion=0.06158, over 60.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3501, pruned_loss=0.1042, over 2781933.19 frames. utt_duration=248.2 frames, utt_pad_proportion=0.0706, over 45101.78 utterances.], batch size: 60, lr: 2.15e-04
+2022-09-18 20:55:43,923 INFO [train.py:885] (0/2) Epoch 22, batch 2300, loss[loss=0.1437, simple_loss=0.2003, pruned_loss=0.04358, over 13606.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08331, over 50.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3515, pruned_loss=0.1059, over 2781356.15 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07043, over 45644.02 utterances.], batch size: 50, lr: 2.15e-04
+2022-09-18 20:56:13,366 INFO [train.py:885] (0/2) Epoch 22, batch 2350, loss[loss=0.208, simple_loss=0.2844, pruned_loss=0.06587, over 13782.00 frames. utt_duration=920.4 frames, utt_pad_proportion=0.06844, over 60.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3511, pruned_loss=0.105, over 2778862.94 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07312, over 45632.81 utterances.], batch size: 60, lr: 2.15e-04
+2022-09-18 20:56:43,322 INFO [train.py:885] (0/2) Epoch 22, batch 2400, loss[loss=0.1962, simple_loss=0.2704, pruned_loss=0.06098, over 13456.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.08091, over 41.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3531, pruned_loss=0.106, over 2781006.69 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07173, over 46235.83 utterances.], batch size: 41, lr: 2.15e-04
+2022-09-18 20:57:12,931 INFO [train.py:885] (0/2) Epoch 22, batch 2450, loss[loss=0.2203, simple_loss=0.2983, pruned_loss=0.07119, over 14342.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03764, over 130.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3556, pruned_loss=0.1067, over 2782481.56 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07335, over 47517.34 utterances.], batch size: 130, lr: 2.15e-04
+2022-09-18 20:57:42,073 INFO [train.py:885] (0/2) Epoch 22, batch 2500, loss[loss=0.2909, simple_loss=0.3388, pruned_loss=0.1215, over 14205.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04615, over 89.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3557, pruned_loss=0.107, over 2783231.26 frames. utt_duration=237.7 frames, utt_pad_proportion=0.074, over 47125.36 utterances.], batch size: 89, lr: 2.15e-04
+2022-09-18 20:58:12,261 INFO [train.py:885] (0/2) Epoch 22, batch 2550, loss[loss=0.3391, simple_loss=0.4351, pruned_loss=0.1216, over 13677.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07802, over 477.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3567, pruned_loss=0.1067, over 2780857.47 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07493, over 48574.49 utterances.], batch size: 477, lr: 2.15e-04
+2022-09-18 20:58:41,620 INFO [train.py:885] (0/2) Epoch 22, batch 2600, loss[loss=0.2692, simple_loss=0.335, pruned_loss=0.1017, over 14270.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04029, over 130.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.35, pruned_loss=0.1035, over 2779074.51 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07417, over 46047.29 utterances.], batch size: 130, lr: 2.15e-04
+2022-09-18 20:59:11,568 INFO [train.py:885] (0/2) Epoch 22, batch 2650, loss[loss=0.3063, simple_loss=0.3832, pruned_loss=0.1147, over 14320.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03922, over 262.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3511, pruned_loss=0.1037, over 2780579.91 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07384, over 46025.69 utterances.], batch size: 262, lr: 2.15e-04
+2022-09-18 20:59:41,152 INFO [train.py:885] (0/2) Epoch 22, batch 2700, loss[loss=0.509, simple_loss=0.5873, pruned_loss=0.2153, over 12478.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.145, over 810.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3498, pruned_loss=0.1034, over 2777833.14 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07354, over 46139.47 utterances.], batch size: 810, lr: 2.15e-04
+2022-09-18 21:00:10,672 INFO [train.py:885] (0/2) Epoch 22, batch 2750, loss[loss=0.3233, simple_loss=0.3858, pruned_loss=0.1305, over 14210.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04489, over 335.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3503, pruned_loss=0.1038, over 2781138.05 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07169, over 45819.60 utterances.], batch size: 335, lr: 2.15e-04
+2022-09-18 21:00:39,985 INFO [train.py:885] (0/2) Epoch 22, batch 2800, loss[loss=0.2623, simple_loss=0.3328, pruned_loss=0.09587, over 14183.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04387, over 109.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3521, pruned_loss=0.105, over 2785152.62 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07065, over 46160.82 utterances.], batch size: 109, lr: 2.15e-04
+2022-09-18 21:01:09,652 INFO [train.py:885] (0/2) Epoch 22, batch 2850, loss[loss=0.2879, simple_loss=0.3475, pruned_loss=0.1142, over 14289.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04076, over 120.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3474, pruned_loss=0.1028, over 2784248.08 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07011, over 44426.90 utterances.], batch size: 120, lr: 2.15e-04
+2022-09-18 21:01:39,506 INFO [train.py:885] (0/2) Epoch 22, batch 2900, loss[loss=0.3329, simple_loss=0.4124, pruned_loss=0.1267, over 13993.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05645, over 365.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3471, pruned_loss=0.1026, over 2787378.72 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06781, over 44703.01 utterances.], batch size: 365, lr: 2.15e-04
+2022-09-18 21:02:09,086 INFO [train.py:885] (0/2) Epoch 22, batch 2950, loss[loss=0.3009, simple_loss=0.37, pruned_loss=0.1159, over 14423.00 frames. utt_duration=276.1 frames, utt_pad_proportion=0.03138, over 210.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3479, pruned_loss=0.1035, over 2789660.78 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06651, over 44437.74 utterances.], batch size: 210, lr: 2.15e-04
+2022-09-18 21:02:26,993 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-268000.pt
+2022-09-18 21:02:39,423 INFO [train.py:885] (0/2) Epoch 22, batch 3000, loss[loss=0.2507, simple_loss=0.3242, pruned_loss=0.08859, over 14293.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03909, over 154.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3474, pruned_loss=0.1034, over 2785929.88 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06777, over 44450.63 utterances.], batch size: 154, lr: 2.15e-04
+2022-09-18 21:02:39,425 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 21:02:43,938 INFO [train.py:914] (0/2) Epoch 22, validation: loss=0.193, simple_loss=0.2725, pruned_loss=0.05676, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 21:03:13,398 INFO [train.py:885] (0/2) Epoch 22, batch 3050, loss[loss=0.2767, simple_loss=0.3526, pruned_loss=0.1004, over 14358.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.0384, over 167.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3475, pruned_loss=0.1037, over 2788390.02 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06779, over 43736.48 utterances.], batch size: 167, lr: 2.15e-04
+2022-09-18 21:03:44,237 INFO [train.py:885] (0/2) Epoch 22, batch 3100, loss[loss=0.3842, simple_loss=0.441, pruned_loss=0.1637, over 14023.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05444, over 365.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3466, pruned_loss=0.1031, over 2783884.08 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06948, over 44000.26 utterances.], batch size: 365, lr: 2.15e-04
+2022-09-18 21:04:13,639 INFO [train.py:885] (0/2) Epoch 22, batch 3150, loss[loss=0.1818, simple_loss=0.2309, pruned_loss=0.06631, over 13316.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.09412, over 26.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3474, pruned_loss=0.1041, over 2785964.26 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06806, over 43379.23 utterances.], batch size: 26, lr: 2.15e-04
+2022-09-18 21:04:43,581 INFO [train.py:885] (0/2) Epoch 22, batch 3200, loss[loss=0.222, simple_loss=0.2768, pruned_loss=0.0836, over 13981.00 frames. utt_duration=709.6 frames, utt_pad_proportion=0.06142, over 79.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3481, pruned_loss=0.1046, over 2782587.12 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07004, over 44231.48 utterances.], batch size: 79, lr: 2.15e-04
+2022-09-18 21:05:13,172 INFO [train.py:885] (0/2) Epoch 22, batch 3250, loss[loss=0.1879, simple_loss=0.2591, pruned_loss=0.0584, over 13840.00 frames. utt_duration=803.7 frames, utt_pad_proportion=0.06327, over 69.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.349, pruned_loss=0.1052, over 2782106.68 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07014, over 44918.44 utterances.], batch size: 69, lr: 2.15e-04
+2022-09-18 21:05:43,101 INFO [train.py:885] (0/2) Epoch 22, batch 3300, loss[loss=0.1863, simple_loss=0.2457, pruned_loss=0.06338, over 12302.00 frames. utt_duration=2052 frames, utt_pad_proportion=0.1724, over 24.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3497, pruned_loss=0.1052, over 2776611.85 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07181, over 45183.83 utterances.], batch size: 24, lr: 2.15e-04
+2022-09-18 21:06:12,894 INFO [train.py:885] (0/2) Epoch 22, batch 3350, loss[loss=0.2132, simple_loss=0.2565, pruned_loss=0.08497, over 14249.00 frames. utt_duration=641.8 frames, utt_pad_proportion=0.04359, over 89.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3522, pruned_loss=0.1058, over 2778947.35 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07298, over 46743.79 utterances.], batch size: 89, lr: 2.15e-04
+2022-09-18 21:06:42,254 INFO [train.py:885] (0/2) Epoch 22, batch 3400, loss[loss=0.2488, simple_loss=0.325, pruned_loss=0.08624, over 14314.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03695, over 130.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3493, pruned_loss=0.1045, over 2778888.66 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07135, over 45467.41 utterances.], batch size: 130, lr: 2.15e-04
+2022-09-18 21:07:11,609 INFO [train.py:885] (0/2) Epoch 22, batch 3450, loss[loss=0.3147, simple_loss=0.3789, pruned_loss=0.1253, over 14356.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.0385, over 167.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3513, pruned_loss=0.1052, over 2775146.03 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07369, over 46376.00 utterances.], batch size: 167, lr: 2.15e-04
+2022-09-18 21:07:41,245 INFO [train.py:885] (0/2) Epoch 22, batch 3500, loss[loss=0.3089, simple_loss=0.3786, pruned_loss=0.1196, over 14187.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04535, over 306.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3516, pruned_loss=0.1057, over 2775557.54 frames. utt_duration=244.2 frames, utt_pad_proportion=0.0731, over 45748.86 utterances.], batch size: 306, lr: 2.15e-04
+2022-09-18 21:08:10,606 INFO [train.py:885] (0/2) Epoch 22, batch 3550, loss[loss=0.394, simple_loss=0.4297, pruned_loss=0.1792, over 14378.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0323, over 244.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3475, pruned_loss=0.1037, over 2775533.15 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07107, over 44482.25 utterances.], batch size: 244, lr: 2.15e-04
+2022-09-18 21:08:40,386 INFO [train.py:885] (0/2) Epoch 22, batch 3600, loss[loss=0.3178, simple_loss=0.4109, pruned_loss=0.1124, over 13634.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08272, over 478.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3466, pruned_loss=0.1031, over 2775799.76 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07122, over 44312.06 utterances.], batch size: 478, lr: 2.15e-04
+2022-09-18 21:09:09,295 INFO [train.py:885] (0/2) Epoch 22, batch 3650, loss[loss=0.255, simple_loss=0.3264, pruned_loss=0.09184, over 14276.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04039, over 180.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.344, pruned_loss=0.1021, over 2780203.54 frames. utt_duration=263.2 frames, utt_pad_proportion=0.06805, over 42484.46 utterances.], batch size: 180, lr: 2.14e-04
+2022-09-18 21:09:39,131 INFO [train.py:885] (0/2) Epoch 22, batch 3700, loss[loss=0.5134, simple_loss=0.6042, pruned_loss=0.2113, over 12535.00 frames. utt_duration=63.41 frames, utt_pad_proportion=0.1432, over 810.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3487, pruned_loss=0.1042, over 2782362.87 frames. utt_duration=253.2 frames, utt_pad_proportion=0.0679, over 44205.84 utterances.], batch size: 810, lr: 2.14e-04
+2022-09-18 21:10:08,922 INFO [train.py:885] (0/2) Epoch 22, batch 3750, loss[loss=0.3548, simple_loss=0.4349, pruned_loss=0.1373, over 13739.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07309, over 411.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.351, pruned_loss=0.105, over 2779084.16 frames. utt_duration=244 frames, utt_pad_proportion=0.07115, over 45835.31 utterances.], batch size: 411, lr: 2.14e-04
+2022-09-18 21:10:38,823 INFO [train.py:885] (0/2) Epoch 22, batch 3800, loss[loss=0.3018, simple_loss=0.3712, pruned_loss=0.1162, over 14303.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03985, over 283.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3491, pruned_loss=0.1039, over 2778320.88 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07134, over 45048.45 utterances.], batch size: 283, lr: 2.14e-04
+2022-09-18 21:11:08,616 INFO [train.py:885] (0/2) Epoch 22, batch 3850, loss[loss=0.2761, simple_loss=0.3492, pruned_loss=0.1015, over 14323.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03898, over 262.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3484, pruned_loss=0.1032, over 2782187.93 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07066, over 44668.07 utterances.], batch size: 262, lr: 2.14e-04
+2022-09-18 21:11:37,871 INFO [train.py:885] (0/2) Epoch 22, batch 3900, loss[loss=0.2239, simple_loss=0.2878, pruned_loss=0.08003, over 13418.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08354, over 41.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3503, pruned_loss=0.1042, over 2777411.69 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07274, over 45904.67 utterances.], batch size: 41, lr: 2.14e-04
+2022-09-18 21:12:07,455 INFO [train.py:885] (0/2) Epoch 22, batch 3950, loss[loss=0.2427, simple_loss=0.3223, pruned_loss=0.08153, over 14249.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04527, over 141.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3482, pruned_loss=0.1034, over 2779784.35 frames. utt_duration=250.1 frames, utt_pad_proportion=0.0715, over 44723.36 utterances.], batch size: 141, lr: 2.14e-04
+2022-09-18 21:12:37,109 INFO [train.py:885] (0/2) Epoch 22, batch 4000, loss[loss=0.2949, simple_loss=0.3813, pruned_loss=0.1042, over 14032.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05624, over 366.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3509, pruned_loss=0.1046, over 2776645.00 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07262, over 46409.06 utterances.], batch size: 366, lr: 2.14e-04
+2022-09-18 21:13:07,091 INFO [train.py:885] (0/2) Epoch 22, batch 4050, loss[loss=0.3015, simple_loss=0.3754, pruned_loss=0.1138, over 14318.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0385, over 283.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3529, pruned_loss=0.105, over 2776927.91 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07261, over 47305.75 utterances.], batch size: 283, lr: 2.14e-04
+2022-09-18 21:13:36,827 INFO [train.py:885] (0/2) Epoch 22, batch 4100, loss[loss=0.3969, simple_loss=0.4713, pruned_loss=0.1612, over 13608.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.07837, over 560.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3518, pruned_loss=0.1045, over 2777673.45 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07169, over 46744.82 utterances.], batch size: 560, lr: 2.14e-04
+2022-09-18 21:14:06,155 INFO [train.py:885] (0/2) Epoch 22, batch 4150, loss[loss=0.2453, simple_loss=0.3316, pruned_loss=0.07952, over 14340.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03703, over 195.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3526, pruned_loss=0.105, over 2775689.06 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07275, over 47371.13 utterances.], batch size: 195, lr: 2.14e-04
+2022-09-18 21:14:35,659 INFO [train.py:885] (0/2) Epoch 22, batch 4200, loss[loss=0.2942, simple_loss=0.3893, pruned_loss=0.09957, over 14030.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05418, over 365.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3495, pruned_loss=0.1037, over 2776731.89 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07216, over 45643.82 utterances.], batch size: 365, lr: 2.14e-04
+2022-09-18 21:15:05,540 INFO [train.py:885] (0/2) Epoch 22, batch 4250, loss[loss=0.1747, simple_loss=0.2302, pruned_loss=0.05957, over 12797.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1363, over 25.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3487, pruned_loss=0.104, over 2775799.67 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07298, over 44529.39 utterances.], batch size: 25, lr: 2.14e-04
+2022-09-18 21:15:35,288 INFO [train.py:885] (0/2) Epoch 22, batch 4300, loss[loss=0.2058, simple_loss=0.2625, pruned_loss=0.07459, over 12820.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.128, over 25.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3453, pruned_loss=0.1025, over 2774319.48 frames. utt_duration=260.9 frames, utt_pad_proportion=0.07246, over 42774.60 utterances.], batch size: 25, lr: 2.14e-04
+2022-09-18 21:16:05,193 INFO [train.py:885] (0/2) Epoch 22, batch 4350, loss[loss=0.1711, simple_loss=0.2466, pruned_loss=0.04782, over 13879.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06552, over 60.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3437, pruned_loss=0.1014, over 2777647.54 frames. utt_duration=265.4 frames, utt_pad_proportion=0.07034, over 42100.98 utterances.], batch size: 60, lr: 2.14e-04
+2022-09-18 21:16:35,223 INFO [train.py:885] (0/2) Epoch 22, batch 4400, loss[loss=0.2807, simple_loss=0.3592, pruned_loss=0.1011, over 14281.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03978, over 180.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3438, pruned_loss=0.1011, over 2779438.66 frames. utt_duration=263.4 frames, utt_pad_proportion=0.06948, over 42449.49 utterances.], batch size: 180, lr: 2.14e-04
+2022-09-18 21:17:05,690 INFO [train.py:885] (0/2) Epoch 22, batch 4450, loss[loss=0.2311, simple_loss=0.3014, pruned_loss=0.08039, over 14144.00 frames. utt_duration=578.8 frames, utt_pad_proportion=0.04953, over 98.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3464, pruned_loss=0.1022, over 2776041.37 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07154, over 43585.78 utterances.], batch size: 98, lr: 2.14e-04
+2022-09-18 21:17:35,695 INFO [train.py:885] (0/2) Epoch 22, batch 4500, loss[loss=0.607, simple_loss=0.6603, pruned_loss=0.2768, over 12411.00 frames. utt_duration=62.92 frames, utt_pad_proportion=0.1497, over 810.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3454, pruned_loss=0.1015, over 2773037.50 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07416, over 44311.94 utterances.], batch size: 810, lr: 2.14e-04
+2022-09-18 21:18:05,418 INFO [train.py:885] (0/2) Epoch 22, batch 4550, loss[loss=0.1969, simple_loss=0.279, pruned_loss=0.05743, over 14047.00 frames. utt_duration=712.5 frames, utt_pad_proportion=0.0576, over 79.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3477, pruned_loss=0.1019, over 2776278.35 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07388, over 45729.58 utterances.], batch size: 79, lr: 2.14e-04
+2022-09-18 21:18:35,575 INFO [train.py:885] (0/2) Epoch 22, batch 4600, loss[loss=0.2831, simple_loss=0.3513, pruned_loss=0.1075, over 14330.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.03658, over 180.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3463, pruned_loss=0.1014, over 2775215.10 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07441, over 45121.02 utterances.], batch size: 180, lr: 2.14e-04
+2022-09-18 21:19:05,396 INFO [train.py:885] (0/2) Epoch 22, batch 4650, loss[loss=0.2714, simple_loss=0.346, pruned_loss=0.09843, over 14271.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04052, over 225.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3455, pruned_loss=0.1016, over 2779464.22 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07245, over 44263.43 utterances.], batch size: 225, lr: 2.14e-04
+2022-09-18 21:19:35,225 INFO [train.py:885] (0/2) Epoch 22, batch 4700, loss[loss=0.303, simple_loss=0.3734, pruned_loss=0.1163, over 14317.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03844, over 283.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3431, pruned_loss=0.1003, over 2780965.84 frames. utt_duration=260.4 frames, utt_pad_proportion=0.07164, over 42962.34 utterances.], batch size: 283, lr: 2.14e-04
+2022-09-18 21:20:05,598 INFO [train.py:885] (0/2) Epoch 22, batch 4750, loss[loss=0.2559, simple_loss=0.3417, pruned_loss=0.08503, over 14285.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03941, over 180.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3478, pruned_loss=0.102, over 2777855.68 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07236, over 45509.73 utterances.], batch size: 180, lr: 2.14e-04
+2022-09-18 21:20:35,361 INFO [train.py:885] (0/2) Epoch 22, batch 4800, loss[loss=0.3361, simple_loss=0.3912, pruned_loss=0.1405, over 14365.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03492, over 210.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3512, pruned_loss=0.103, over 2776643.50 frames. utt_duration=237 frames, utt_pad_proportion=0.07454, over 47165.26 utterances.], batch size: 210, lr: 2.14e-04
+2022-09-18 21:21:05,773 INFO [train.py:885] (0/2) Epoch 22, batch 4850, loss[loss=0.197, simple_loss=0.2679, pruned_loss=0.06307, over 12063.00 frames. utt_duration=2012 frames, utt_pad_proportion=0.184, over 24.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3527, pruned_loss=0.1041, over 2775658.33 frames. utt_duration=236.5 frames, utt_pad_proportion=0.0739, over 47238.36 utterances.], batch size: 24, lr: 2.14e-04
+2022-09-18 21:21:35,346 INFO [train.py:885] (0/2) Epoch 22, batch 4900, loss[loss=0.2046, simple_loss=0.279, pruned_loss=0.06509, over 14151.00 frames. utt_duration=637.5 frames, utt_pad_proportion=0.04987, over 89.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3518, pruned_loss=0.1037, over 2774288.66 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07545, over 46708.29 utterances.], batch size: 89, lr: 2.14e-04
+2022-09-18 21:22:05,286 INFO [train.py:885] (0/2) Epoch 22, batch 4950, loss[loss=0.3369, simple_loss=0.3886, pruned_loss=0.1426, over 14357.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.0384, over 167.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3521, pruned_loss=0.1042, over 2775246.29 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07456, over 46786.81 utterances.], batch size: 167, lr: 2.14e-04
+2022-09-18 21:22:34,843 INFO [train.py:885] (0/2) Epoch 22, batch 5000, loss[loss=0.1318, simple_loss=0.1748, pruned_loss=0.04439, over 13128.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1136, over 33.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3476, pruned_loss=0.1018, over 2771606.93 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07558, over 46110.88 utterances.], batch size: 33, lr: 2.14e-04
+2022-09-18 21:23:04,885 INFO [train.py:885] (0/2) Epoch 22, batch 5050, loss[loss=0.308, simple_loss=0.3915, pruned_loss=0.1123, over 14004.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05546, over 365.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3468, pruned_loss=0.1019, over 2772394.60 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07479, over 45465.76 utterances.], batch size: 365, lr: 2.14e-04
+2022-09-18 21:23:35,086 INFO [train.py:885] (0/2) Epoch 22, batch 5100, loss[loss=0.356, simple_loss=0.4092, pruned_loss=0.1514, over 14253.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04127, over 335.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3479, pruned_loss=0.1028, over 2777178.95 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07261, over 45205.22 utterances.], batch size: 335, lr: 2.14e-04
+2022-09-18 21:24:04,706 INFO [train.py:885] (0/2) Epoch 22, batch 5150, loss[loss=0.2497, simple_loss=0.3093, pruned_loss=0.09507, over 13958.00 frames. utt_duration=931.9 frames, utt_pad_proportion=0.06057, over 60.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3485, pruned_loss=0.1037, over 2778045.59 frames. utt_duration=247 frames, utt_pad_proportion=0.07266, over 45250.84 utterances.], batch size: 60, lr: 2.14e-04
+2022-09-18 21:24:34,290 INFO [train.py:885] (0/2) Epoch 22, batch 5200, loss[loss=0.3009, simple_loss=0.3708, pruned_loss=0.1155, over 14360.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03719, over 244.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3486, pruned_loss=0.1034, over 2781715.61 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07149, over 45575.46 utterances.], batch size: 244, lr: 2.14e-04
+2022-09-18 21:25:04,191 INFO [train.py:885] (0/2) Epoch 22, batch 5250, loss[loss=0.31, simple_loss=0.4173, pruned_loss=0.1014, over 13588.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07972, over 560.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3488, pruned_loss=0.1036, over 2780425.49 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06989, over 45175.50 utterances.], batch size: 560, lr: 2.14e-04
+2022-09-18 21:25:34,065 INFO [train.py:885] (0/2) Epoch 22, batch 5300, loss[loss=0.2063, simple_loss=0.2707, pruned_loss=0.07092, over 13821.00 frames. utt_duration=923 frames, utt_pad_proportion=0.07143, over 60.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3483, pruned_loss=0.1026, over 2781425.80 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06981, over 44812.15 utterances.], batch size: 60, lr: 2.14e-04
+2022-09-18 21:26:03,838 INFO [train.py:885] (0/2) Epoch 22, batch 5350, loss[loss=0.3359, simple_loss=0.3995, pruned_loss=0.1361, over 14209.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04398, over 306.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3481, pruned_loss=0.1027, over 2783402.51 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06966, over 45025.39 utterances.], batch size: 306, lr: 2.14e-04
+2022-09-18 21:26:33,773 INFO [train.py:885] (0/2) Epoch 22, batch 5400, loss[loss=0.3672, simple_loss=0.4198, pruned_loss=0.1573, over 14205.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04487, over 306.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3454, pruned_loss=0.1018, over 2782585.77 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06909, over 44373.66 utterances.], batch size: 306, lr: 2.14e-04
+2022-09-18 21:27:03,527 INFO [train.py:885] (0/2) Epoch 22, batch 5450, loss[loss=0.3919, simple_loss=0.47, pruned_loss=0.1569, over 13584.00 frames. utt_duration=98.37 frames, utt_pad_proportion=0.08062, over 560.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3488, pruned_loss=0.1031, over 2786726.58 frames. utt_duration=244 frames, utt_pad_proportion=0.06772, over 45964.31 utterances.], batch size: 560, lr: 2.14e-04
+2022-09-18 21:27:33,762 INFO [train.py:885] (0/2) Epoch 22, batch 5500, loss[loss=0.2727, simple_loss=0.3477, pruned_loss=0.0989, over 14296.00 frames. utt_duration=294.8 frames, utt_pad_proportion=0.03986, over 195.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3509, pruned_loss=0.1043, over 2788911.49 frames. utt_duration=241.9 frames, utt_pad_proportion=0.06835, over 46398.01 utterances.], batch size: 195, lr: 2.14e-04
+2022-09-18 21:28:03,217 INFO [train.py:885] (0/2) Epoch 22, batch 5550, loss[loss=0.2703, simple_loss=0.3299, pruned_loss=0.1053, over 14291.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04006, over 120.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3494, pruned_loss=0.1029, over 2787817.82 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06877, over 45671.56 utterances.], batch size: 120, lr: 2.14e-04
+2022-09-18 21:28:33,405 INFO [train.py:885] (0/2) Epoch 22, batch 5600, loss[loss=0.3641, simple_loss=0.4232, pruned_loss=0.1525, over 14233.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04232, over 306.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3512, pruned_loss=0.1035, over 2789835.53 frames. utt_duration=240.5 frames, utt_pad_proportion=0.06818, over 46688.13 utterances.], batch size: 306, lr: 2.14e-04
+2022-09-18 21:29:03,286 INFO [train.py:885] (0/2) Epoch 22, batch 5650, loss[loss=0.2979, simple_loss=0.3675, pruned_loss=0.1142, over 14309.00 frames. utt_duration=273.8 frames, utt_pad_proportion=0.03933, over 210.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3509, pruned_loss=0.1036, over 2784684.57 frames. utt_duration=239.5 frames, utt_pad_proportion=0.0706, over 46798.61 utterances.], batch size: 210, lr: 2.14e-04
+2022-09-18 21:29:32,741 INFO [train.py:885] (0/2) Epoch 22, batch 5700, loss[loss=0.1999, simple_loss=0.2766, pruned_loss=0.06164, over 13910.00 frames. utt_duration=807.9 frames, utt_pad_proportion=0.05841, over 69.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3502, pruned_loss=0.103, over 2781293.77 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07178, over 46860.67 utterances.], batch size: 69, lr: 2.14e-04
+2022-09-18 21:30:02,892 INFO [train.py:885] (0/2) Epoch 22, batch 5750, loss[loss=0.2875, simple_loss=0.367, pruned_loss=0.104, over 14310.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03885, over 283.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.351, pruned_loss=0.104, over 2778779.66 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07241, over 46429.90 utterances.], batch size: 283, lr: 2.14e-04
+2022-09-18 21:30:32,914 INFO [train.py:885] (0/2) Epoch 22, batch 5800, loss[loss=0.1445, simple_loss=0.1911, pruned_loss=0.04893, over 12737.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.1355, over 25.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3522, pruned_loss=0.1051, over 2780251.58 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07173, over 46517.30 utterances.], batch size: 25, lr: 2.14e-04
+2022-09-18 21:31:03,114 INFO [train.py:885] (0/2) Epoch 22, batch 5850, loss[loss=0.2833, simple_loss=0.3511, pruned_loss=0.1077, over 14341.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03903, over 167.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3529, pruned_loss=0.1056, over 2778645.14 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07174, over 46489.46 utterances.], batch size: 167, lr: 2.14e-04
+2022-09-18 21:31:32,781 INFO [train.py:885] (0/2) Epoch 22, batch 5900, loss[loss=0.315, simple_loss=0.3719, pruned_loss=0.129, over 14294.00 frames. utt_duration=294.6 frames, utt_pad_proportion=0.0371, over 195.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3543, pruned_loss=0.1062, over 2782780.41 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07109, over 46770.80 utterances.], batch size: 195, lr: 2.14e-04
+2022-09-18 21:32:02,529 INFO [train.py:885] (0/2) Epoch 22, batch 5950, loss[loss=0.286, simple_loss=0.3535, pruned_loss=0.1093, over 14327.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03953, over 154.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3538, pruned_loss=0.1061, over 2783776.95 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07175, over 46307.20 utterances.], batch size: 154, lr: 2.14e-04
+2022-09-18 21:32:32,202 INFO [train.py:885] (0/2) Epoch 22, batch 6000, loss[loss=0.2028, simple_loss=0.2837, pruned_loss=0.061, over 13404.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.09827, over 50.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3499, pruned_loss=0.1039, over 2781734.14 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07185, over 45393.23 utterances.], batch size: 50, lr: 2.14e-04
+2022-09-18 21:32:32,203 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 21:32:36,542 INFO [train.py:914] (0/2) Epoch 22, validation: loss=0.1975, simple_loss=0.2767, pruned_loss=0.05915, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 21:33:06,460 INFO [train.py:885] (0/2) Epoch 22, batch 6050, loss[loss=0.1841, simple_loss=0.2451, pruned_loss=0.06158, over 13202.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1035, over 33.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3506, pruned_loss=0.1039, over 2785352.23 frames. utt_duration=243.2 frames, utt_pad_proportion=0.0697, over 46095.16 utterances.], batch size: 33, lr: 2.14e-04
+2022-09-18 21:33:36,712 INFO [train.py:885] (0/2) Epoch 22, batch 6100, loss[loss=0.1439, simple_loss=0.2103, pruned_loss=0.03874, over 12931.00 frames. utt_duration=1569 frames, utt_pad_proportion=0.1294, over 33.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3498, pruned_loss=0.1038, over 2783556.94 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06982, over 45894.19 utterances.], batch size: 33, lr: 2.14e-04
+2022-09-18 21:34:06,252 INFO [train.py:885] (0/2) Epoch 22, batch 6150, loss[loss=0.1942, simple_loss=0.258, pruned_loss=0.0652, over 13405.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.09377, over 50.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3484, pruned_loss=0.1036, over 2780749.15 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07002, over 44808.00 utterances.], batch size: 50, lr: 2.13e-04
+2022-09-18 21:34:36,641 INFO [train.py:885] (0/2) Epoch 22, batch 6200, loss[loss=0.2232, simple_loss=0.2958, pruned_loss=0.07532, over 14190.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04337, over 109.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3512, pruned_loss=0.105, over 2785180.28 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06951, over 45329.72 utterances.], batch size: 109, lr: 2.13e-04
+2022-09-18 21:35:06,069 INFO [train.py:885] (0/2) Epoch 22, batch 6250, loss[loss=0.2672, simple_loss=0.3743, pruned_loss=0.0801, over 13790.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07074, over 411.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3504, pruned_loss=0.1044, over 2785317.71 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06905, over 45254.65 utterances.], batch size: 411, lr: 2.13e-04
+2022-09-18 21:35:36,483 INFO [train.py:885] (0/2) Epoch 22, batch 6300, loss[loss=0.3517, simple_loss=0.4077, pruned_loss=0.1478, over 14234.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04217, over 306.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3511, pruned_loss=0.1046, over 2783331.23 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07127, over 45985.65 utterances.], batch size: 306, lr: 2.13e-04
+2022-09-18 21:36:07,004 INFO [train.py:885] (0/2) Epoch 22, batch 6350, loss[loss=0.2706, simple_loss=0.3384, pruned_loss=0.1014, over 14320.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04055, over 167.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3468, pruned_loss=0.1029, over 2786196.28 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06932, over 43990.47 utterances.], batch size: 167, lr: 2.13e-04
+2022-09-18 21:36:35,856 INFO [train.py:885] (0/2) Epoch 22, batch 6400, loss[loss=0.2863, simple_loss=0.3564, pruned_loss=0.1081, over 14344.00 frames. utt_duration=345 frames, utt_pad_proportion=0.039, over 167.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3454, pruned_loss=0.102, over 2788996.45 frames. utt_duration=261.5 frames, utt_pad_proportion=0.06857, over 42899.79 utterances.], batch size: 167, lr: 2.13e-04
+2022-09-18 21:37:06,063 INFO [train.py:885] (0/2) Epoch 22, batch 6450, loss[loss=0.1844, simple_loss=0.2519, pruned_loss=0.05848, over 14048.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.05925, over 70.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3446, pruned_loss=0.1016, over 2784103.49 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06853, over 43337.54 utterances.], batch size: 70, lr: 2.13e-04
+2022-09-18 21:37:35,759 INFO [train.py:885] (0/2) Epoch 22, batch 6500, loss[loss=0.2974, simple_loss=0.3682, pruned_loss=0.1133, over 14321.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.0377, over 195.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3481, pruned_loss=0.1037, over 2785634.79 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06946, over 44216.56 utterances.], batch size: 195, lr: 2.13e-04
+2022-09-18 21:38:05,558 INFO [train.py:885] (0/2) Epoch 22, batch 6550, loss[loss=0.28, simple_loss=0.3745, pruned_loss=0.09276, over 14019.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05469, over 365.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3486, pruned_loss=0.1036, over 2788466.54 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06887, over 44437.46 utterances.], batch size: 365, lr: 2.13e-04
+2022-09-18 21:38:35,237 INFO [train.py:885] (0/2) Epoch 22, batch 6600, loss[loss=0.175, simple_loss=0.2356, pruned_loss=0.0572, over 13791.00 frames. utt_duration=800.8 frames, utt_pad_proportion=0.06771, over 69.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3505, pruned_loss=0.1049, over 2785938.81 frames. utt_duration=245.9 frames, utt_pad_proportion=0.0696, over 45597.19 utterances.], batch size: 69, lr: 2.13e-04
+2022-09-18 21:39:05,505 INFO [train.py:885] (0/2) Epoch 22, batch 6650, loss[loss=0.3054, simple_loss=0.3698, pruned_loss=0.1205, over 14289.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03956, over 180.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.35, pruned_loss=0.1048, over 2781473.47 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07133, over 45514.60 utterances.], batch size: 180, lr: 2.13e-04
+2022-09-18 21:39:33,835 INFO [train.py:885] (0/2) Epoch 22, batch 6700, loss[loss=0.2041, simple_loss=0.2765, pruned_loss=0.06583, over 13481.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09317, over 50.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3467, pruned_loss=0.1025, over 2780834.46 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07051, over 44084.39 utterances.], batch size: 50, lr: 2.13e-04
+2022-09-18 21:40:03,953 INFO [train.py:885] (0/2) Epoch 22, batch 6750, loss[loss=0.2885, simple_loss=0.3646, pruned_loss=0.1061, over 14322.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03785, over 195.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3526, pruned_loss=0.1041, over 2777946.90 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07385, over 47465.89 utterances.], batch size: 195, lr: 2.13e-04
+2022-09-18 21:40:33,426 INFO [train.py:885] (0/2) Epoch 22, batch 6800, loss[loss=0.3479, simple_loss=0.4083, pruned_loss=0.1437, over 14337.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03747, over 283.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3525, pruned_loss=0.1039, over 2776638.48 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07387, over 47715.12 utterances.], batch size: 283, lr: 2.13e-04
+2022-09-18 21:41:02,989 INFO [train.py:885] (0/2) Epoch 22, batch 6850, loss[loss=0.2966, simple_loss=0.3638, pruned_loss=0.1147, over 14362.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03806, over 167.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3501, pruned_loss=0.1021, over 2777459.29 frames. utt_duration=236.7 frames, utt_pad_proportion=0.0735, over 47227.46 utterances.], batch size: 167, lr: 2.13e-04
+2022-09-18 21:41:32,462 INFO [train.py:885] (0/2) Epoch 22, batch 6900, loss[loss=0.1365, simple_loss=0.1932, pruned_loss=0.03984, over 13357.00 frames. utt_duration=1573 frames, utt_pad_proportion=0.1073, over 34.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3468, pruned_loss=0.101, over 2779025.01 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07205, over 45190.77 utterances.], batch size: 34, lr: 2.13e-04
+2022-09-18 21:42:01,797 INFO [train.py:885] (0/2) Epoch 22, batch 6950, loss[loss=0.2669, simple_loss=0.3518, pruned_loss=0.09102, over 14320.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.0408, over 167.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.345, pruned_loss=0.1009, over 2773317.75 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07288, over 43982.38 utterances.], batch size: 167, lr: 2.13e-04
+2022-09-18 21:42:19,875 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-272000.pt
+2022-09-18 21:42:32,532 INFO [train.py:885] (0/2) Epoch 22, batch 7000, loss[loss=0.1904, simple_loss=0.2497, pruned_loss=0.06551, over 12479.00 frames. utt_duration=2081 frames, utt_pad_proportion=0.1442, over 24.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3488, pruned_loss=0.1028, over 2773300.88 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07353, over 45460.36 utterances.], batch size: 24, lr: 2.13e-04
+2022-09-18 21:43:01,458 INFO [train.py:885] (0/2) Epoch 22, batch 7050, loss[loss=0.2965, simple_loss=0.3732, pruned_loss=0.1099, over 14263.00 frames. utt_duration=255 frames, utt_pad_proportion=0.0414, over 225.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3475, pruned_loss=0.1026, over 2774104.85 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07102, over 44969.22 utterances.], batch size: 225, lr: 2.13e-04
+2022-09-18 21:43:30,987 INFO [train.py:885] (0/2) Epoch 22, batch 7100, loss[loss=0.2374, simple_loss=0.3016, pruned_loss=0.08657, over 14088.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05355, over 98.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3504, pruned_loss=0.1038, over 2775281.82 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07273, over 46516.21 utterances.], batch size: 98, lr: 2.13e-04
+2022-09-18 21:44:01,126 INFO [train.py:885] (0/2) Epoch 22, batch 7150, loss[loss=0.3455, simple_loss=0.404, pruned_loss=0.1434, over 14245.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04202, over 306.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3534, pruned_loss=0.1059, over 2777533.39 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07371, over 47649.67 utterances.], batch size: 306, lr: 2.13e-04
+2022-09-18 21:44:31,613 INFO [train.py:885] (0/2) Epoch 22, batch 7200, loss[loss=0.1874, simple_loss=0.2643, pruned_loss=0.05529, over 13223.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.1068, over 33.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.352, pruned_loss=0.1049, over 2778736.35 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07476, over 47060.56 utterances.], batch size: 33, lr: 2.13e-04
+2022-09-18 21:45:00,943 INFO [train.py:885] (0/2) Epoch 22, batch 7250, loss[loss=0.1693, simple_loss=0.2337, pruned_loss=0.05249, over 13372.00 frames. utt_duration=1071 frames, utt_pad_proportion=0.09121, over 50.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3504, pruned_loss=0.1036, over 2779159.73 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07459, over 46719.87 utterances.], batch size: 50, lr: 2.13e-04
+2022-09-18 21:45:30,018 INFO [train.py:885] (0/2) Epoch 22, batch 7300, loss[loss=0.356, simple_loss=0.4079, pruned_loss=0.152, over 14229.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04314, over 335.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3474, pruned_loss=0.1031, over 2777850.91 frames. utt_duration=248 frames, utt_pad_proportion=0.07238, over 45066.32 utterances.], batch size: 335, lr: 2.13e-04
+2022-09-18 21:45:59,273 INFO [train.py:885] (0/2) Epoch 22, batch 7350, loss[loss=0.3899, simple_loss=0.4823, pruned_loss=0.1488, over 13132.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3488, pruned_loss=0.1031, over 2777931.86 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07296, over 46021.10 utterances.], batch size: 653, lr: 2.13e-04
+2022-09-18 21:46:29,624 INFO [train.py:885] (0/2) Epoch 22, batch 7400, loss[loss=0.2857, simple_loss=0.3743, pruned_loss=0.09855, over 14353.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03589, over 210.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3491, pruned_loss=0.1027, over 2778574.40 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07121, over 46724.48 utterances.], batch size: 210, lr: 2.13e-04
+2022-09-18 21:46:59,022 INFO [train.py:885] (0/2) Epoch 22, batch 7450, loss[loss=0.2985, simple_loss=0.3736, pruned_loss=0.1117, over 14231.00 frames. utt_duration=254.4 frames, utt_pad_proportion=0.04371, over 225.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.35, pruned_loss=0.1041, over 2780612.49 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07116, over 46562.15 utterances.], batch size: 225, lr: 2.13e-04
+2022-09-18 21:47:28,956 INFO [train.py:885] (0/2) Epoch 22, batch 7500, loss[loss=0.2513, simple_loss=0.3228, pruned_loss=0.08994, over 14255.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.0443, over 154.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3502, pruned_loss=0.1039, over 2775672.33 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07473, over 47204.01 utterances.], batch size: 154, lr: 2.13e-04
+2022-09-18 21:47:58,039 INFO [train.py:885] (0/2) Epoch 22, batch 7550, loss[loss=0.2614, simple_loss=0.3346, pruned_loss=0.09407, over 14297.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03838, over 130.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3517, pruned_loss=0.1037, over 2775716.24 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07436, over 47973.14 utterances.], batch size: 130, lr: 2.13e-04
+2022-09-18 21:48:35,518 INFO [train.py:885] (0/2) Epoch 22, batch 7600, loss[loss=0.1413, simple_loss=0.191, pruned_loss=0.04585, over 13975.00 frames. utt_duration=1332 frames, utt_pad_proportion=0.06444, over 42.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3488, pruned_loss=0.1023, over 2777709.49 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07325, over 46449.26 utterances.], batch size: 42, lr: 2.13e-04
+2022-09-18 21:49:04,843 INFO [train.py:885] (0/2) Epoch 22, batch 7650, loss[loss=0.221, simple_loss=0.2851, pruned_loss=0.07844, over 14140.00 frames. utt_duration=578.7 frames, utt_pad_proportion=0.04813, over 98.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3476, pruned_loss=0.1019, over 2773204.79 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07492, over 46233.12 utterances.], batch size: 98, lr: 2.13e-04
+2022-09-18 21:49:34,751 INFO [train.py:885] (0/2) Epoch 22, batch 7700, loss[loss=0.2399, simple_loss=0.2982, pruned_loss=0.09078, over 14169.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.04868, over 89.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3484, pruned_loss=0.1019, over 2771498.75 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07659, over 46894.84 utterances.], batch size: 89, lr: 2.13e-04
+2022-09-18 21:50:03,787 INFO [train.py:885] (0/2) Epoch 22, batch 7750, loss[loss=0.2512, simple_loss=0.3125, pruned_loss=0.09496, over 14301.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03932, over 120.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3458, pruned_loss=0.101, over 2779328.58 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07258, over 45118.67 utterances.], batch size: 120, lr: 2.13e-04
+2022-09-18 21:50:33,758 INFO [train.py:885] (0/2) Epoch 22, batch 7800, loss[loss=0.2793, simple_loss=0.378, pruned_loss=0.09027, over 13750.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07259, over 411.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3443, pruned_loss=0.09993, over 2779798.83 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07157, over 44501.26 utterances.], batch size: 411, lr: 2.13e-04
+2022-09-18 21:51:03,120 INFO [train.py:885] (0/2) Epoch 22, batch 7850, loss[loss=0.2997, simple_loss=0.3657, pruned_loss=0.1169, over 14345.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03439, over 244.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3455, pruned_loss=0.1009, over 2779418.91 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07257, over 44876.62 utterances.], batch size: 244, lr: 2.13e-04
+2022-09-18 21:51:33,094 INFO [train.py:885] (0/2) Epoch 22, batch 7900, loss[loss=0.1893, simple_loss=0.2566, pruned_loss=0.06102, over 13880.00 frames. utt_duration=926.8 frames, utt_pad_proportion=0.06951, over 60.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3451, pruned_loss=0.1003, over 2780998.80 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07156, over 45171.57 utterances.], batch size: 60, lr: 2.13e-04
+2022-09-18 21:52:02,825 INFO [train.py:885] (0/2) Epoch 22, batch 7950, loss[loss=0.2646, simple_loss=0.3172, pruned_loss=0.106, over 14137.00 frames. utt_duration=636.5 frames, utt_pad_proportion=0.04852, over 89.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.343, pruned_loss=0.1003, over 2783329.16 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06952, over 42983.52 utterances.], batch size: 89, lr: 2.13e-04
+2022-09-18 21:52:32,202 INFO [train.py:885] (0/2) Epoch 22, batch 8000, loss[loss=0.2411, simple_loss=0.32, pruned_loss=0.08109, over 14320.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03845, over 120.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3448, pruned_loss=0.1017, over 2789379.25 frames. utt_duration=262.4 frames, utt_pad_proportion=0.06781, over 42759.65 utterances.], batch size: 120, lr: 2.13e-04
+2022-09-18 21:53:01,873 INFO [train.py:885] (0/2) Epoch 22, batch 8050, loss[loss=0.2231, simple_loss=0.2895, pruned_loss=0.07838, over 14089.00 frames. utt_duration=714.9 frames, utt_pad_proportion=0.0544, over 79.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3454, pruned_loss=0.1029, over 2793774.41 frames. utt_duration=266.3 frames, utt_pad_proportion=0.06523, over 42192.70 utterances.], batch size: 79, lr: 2.13e-04
+2022-09-18 21:53:31,891 INFO [train.py:885] (0/2) Epoch 22, batch 8100, loss[loss=0.4492, simple_loss=0.5247, pruned_loss=0.1868, over 13166.00 frames. utt_duration=82.13 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3476, pruned_loss=0.104, over 2789961.20 frames. utt_duration=261.6 frames, utt_pad_proportion=0.06742, over 42898.54 utterances.], batch size: 653, lr: 2.13e-04
+2022-09-18 21:54:01,267 INFO [train.py:885] (0/2) Epoch 22, batch 8150, loss[loss=0.3135, simple_loss=0.4128, pruned_loss=0.1071, over 13740.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07339, over 411.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3473, pruned_loss=0.1033, over 2785649.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06826, over 44030.76 utterances.], batch size: 411, lr: 2.13e-04
+2022-09-18 21:54:31,408 INFO [train.py:885] (0/2) Epoch 22, batch 8200, loss[loss=0.1935, simple_loss=0.2685, pruned_loss=0.05931, over 14138.00 frames. utt_duration=637.1 frames, utt_pad_proportion=0.04917, over 89.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3487, pruned_loss=0.1041, over 2783827.12 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06984, over 44568.34 utterances.], batch size: 89, lr: 2.13e-04
+2022-09-18 21:55:00,258 INFO [train.py:885] (0/2) Epoch 22, batch 8250, loss[loss=0.1988, simple_loss=0.2718, pruned_loss=0.06292, over 13918.00 frames. utt_duration=929.3 frames, utt_pad_proportion=0.06693, over 60.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3462, pruned_loss=0.1025, over 2785685.76 frames. utt_duration=257.8 frames, utt_pad_proportion=0.07003, over 43472.30 utterances.], batch size: 60, lr: 2.13e-04
+2022-09-18 21:55:29,716 INFO [train.py:885] (0/2) Epoch 22, batch 8300, loss[loss=0.272, simple_loss=0.3478, pruned_loss=0.09805, over 14336.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03429, over 244.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3475, pruned_loss=0.1037, over 2788751.49 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06827, over 43581.34 utterances.], batch size: 244, lr: 2.13e-04
+2022-09-18 21:55:59,590 INFO [train.py:885] (0/2) Epoch 22, batch 8350, loss[loss=0.3641, simple_loss=0.4539, pruned_loss=0.1371, over 13631.00 frames. utt_duration=98.8 frames, utt_pad_proportion=0.0766, over 560.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3466, pruned_loss=0.1029, over 2785054.98 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07015, over 43727.27 utterances.], batch size: 560, lr: 2.13e-04
+2022-09-18 21:56:29,510 INFO [train.py:885] (0/2) Epoch 22, batch 8400, loss[loss=0.2698, simple_loss=0.3476, pruned_loss=0.09594, over 14335.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.0372, over 195.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3489, pruned_loss=0.1035, over 2785074.08 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07104, over 45298.99 utterances.], batch size: 195, lr: 2.13e-04
+2022-09-18 21:56:59,179 INFO [train.py:885] (0/2) Epoch 22, batch 8450, loss[loss=0.2831, simple_loss=0.3298, pruned_loss=0.1182, over 14068.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05462, over 98.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3499, pruned_loss=0.1042, over 2784958.88 frames. utt_duration=246 frames, utt_pad_proportion=0.07029, over 45548.16 utterances.], batch size: 98, lr: 2.13e-04
+2022-09-18 21:57:28,568 INFO [train.py:885] (0/2) Epoch 22, batch 8500, loss[loss=0.3466, simple_loss=0.4102, pruned_loss=0.1415, over 14218.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04378, over 306.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3523, pruned_loss=0.1052, over 2782685.89 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07175, over 46555.14 utterances.], batch size: 306, lr: 2.13e-04
+2022-09-18 21:57:58,236 INFO [train.py:885] (0/2) Epoch 22, batch 8550, loss[loss=0.2297, simple_loss=0.3065, pruned_loss=0.07649, over 14133.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.05192, over 98.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.346, pruned_loss=0.1025, over 2779251.05 frames. utt_duration=253.2 frames, utt_pad_proportion=0.0694, over 44163.87 utterances.], batch size: 98, lr: 2.13e-04
+2022-09-18 21:58:28,171 INFO [train.py:885] (0/2) Epoch 22, batch 8600, loss[loss=0.3557, simple_loss=0.4261, pruned_loss=0.1427, over 13992.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05675, over 365.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3445, pruned_loss=0.1016, over 2773914.11 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06989, over 43704.43 utterances.], batch size: 365, lr: 2.13e-04
+2022-09-18 21:58:56,879 INFO [train.py:885] (0/2) Epoch 22, batch 8650, loss[loss=0.3162, simple_loss=0.3749, pruned_loss=0.1287, over 14271.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.0407, over 180.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3433, pruned_loss=0.1008, over 2781921.26 frames. utt_duration=261.5 frames, utt_pad_proportion=0.06737, over 42785.34 utterances.], batch size: 180, lr: 2.13e-04
+2022-09-18 21:59:26,888 INFO [train.py:885] (0/2) Epoch 22, batch 8700, loss[loss=0.2748, simple_loss=0.3598, pruned_loss=0.09486, over 14369.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03439, over 210.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3464, pruned_loss=0.1019, over 2778380.48 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07228, over 44686.70 utterances.], batch size: 210, lr: 2.13e-04
+2022-09-18 21:59:56,046 INFO [train.py:885] (0/2) Epoch 22, batch 8750, loss[loss=0.2402, simple_loss=0.3149, pruned_loss=0.08271, over 14161.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04582, over 109.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.347, pruned_loss=0.1022, over 2778536.14 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07079, over 44687.92 utterances.], batch size: 109, lr: 2.12e-04
+2022-09-18 22:00:26,225 INFO [train.py:885] (0/2) Epoch 22, batch 8800, loss[loss=0.2406, simple_loss=0.3225, pruned_loss=0.07932, over 14299.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04121, over 154.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3484, pruned_loss=0.1025, over 2780532.03 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07106, over 45585.41 utterances.], batch size: 154, lr: 2.12e-04
+2022-09-18 22:00:55,116 INFO [train.py:885] (0/2) Epoch 22, batch 8850, loss[loss=0.2357, simple_loss=0.3082, pruned_loss=0.08159, over 14215.00 frames. utt_duration=581.4 frames, utt_pad_proportion=0.04524, over 98.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3437, pruned_loss=0.1005, over 2782175.35 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06966, over 43785.63 utterances.], batch size: 98, lr: 2.12e-04
+2022-09-18 22:01:25,150 INFO [train.py:885] (0/2) Epoch 22, batch 8900, loss[loss=0.2197, simple_loss=0.2778, pruned_loss=0.08078, over 13974.00 frames. utt_duration=800 frames, utt_pad_proportion=0.06654, over 70.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3461, pruned_loss=0.1019, over 2776098.80 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07156, over 45101.65 utterances.], batch size: 70, lr: 2.12e-04
+2022-09-18 22:01:54,163 INFO [train.py:885] (0/2) Epoch 22, batch 8950, loss[loss=0.3161, simple_loss=0.4029, pruned_loss=0.1146, over 13749.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07223, over 411.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3493, pruned_loss=0.1027, over 2780974.09 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07092, over 46534.87 utterances.], batch size: 411, lr: 2.12e-04
+2022-09-18 22:02:23,656 INFO [train.py:885] (0/2) Epoch 22, batch 9000, loss[loss=0.2596, simple_loss=0.3454, pruned_loss=0.08688, over 14324.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03797, over 283.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3485, pruned_loss=0.102, over 2781293.06 frames. utt_duration=242.4 frames, utt_pad_proportion=0.071, over 46185.64 utterances.], batch size: 283, lr: 2.12e-04
+2022-09-18 22:02:23,657 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 22:02:28,370 INFO [train.py:914] (0/2) Epoch 22, validation: loss=0.1902, simple_loss=0.2716, pruned_loss=0.05437, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 22:02:57,749 INFO [train.py:885] (0/2) Epoch 22, batch 9050, loss[loss=0.1809, simple_loss=0.2524, pruned_loss=0.05466, over 13958.00 frames. utt_duration=932.1 frames, utt_pad_proportion=0.0632, over 60.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3485, pruned_loss=0.102, over 2779921.89 frames. utt_duration=244.3 frames, utt_pad_proportion=0.0721, over 45786.56 utterances.], batch size: 60, lr: 2.12e-04
+2022-09-18 22:03:27,360 INFO [train.py:885] (0/2) Epoch 22, batch 9100, loss[loss=0.263, simple_loss=0.3366, pruned_loss=0.09468, over 14289.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03937, over 130.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3482, pruned_loss=0.1023, over 2780964.51 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07089, over 45426.91 utterances.], batch size: 130, lr: 2.12e-04
+2022-09-18 22:03:57,344 INFO [train.py:885] (0/2) Epoch 22, batch 9150, loss[loss=0.2309, simple_loss=0.2831, pruned_loss=0.08929, over 13837.00 frames. utt_duration=803.7 frames, utt_pad_proportion=0.06438, over 69.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.351, pruned_loss=0.1043, over 2777532.60 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07287, over 46561.32 utterances.], batch size: 69, lr: 2.12e-04
+2022-09-18 22:04:27,287 INFO [train.py:885] (0/2) Epoch 22, batch 9200, loss[loss=0.4676, simple_loss=0.5301, pruned_loss=0.2026, over 13623.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07775, over 560.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.357, pruned_loss=0.1077, over 2776368.23 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07459, over 48556.67 utterances.], batch size: 560, lr: 2.12e-04
+2022-09-18 22:05:02,755 INFO [train.py:885] (0/2) Epoch 22, batch 9250, loss[loss=0.157, simple_loss=0.2122, pruned_loss=0.05087, over 12457.00 frames. utt_duration=2078 frames, utt_pad_proportion=0.1584, over 24.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3551, pruned_loss=0.1068, over 2777436.00 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07388, over 47430.43 utterances.], batch size: 24, lr: 2.12e-04
+2022-09-18 22:05:32,118 INFO [train.py:885] (0/2) Epoch 22, batch 9300, loss[loss=0.1516, simple_loss=0.2066, pruned_loss=0.04825, over 13125.00 frames. utt_duration=1282 frames, utt_pad_proportion=0.1048, over 41.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.355, pruned_loss=0.1072, over 2778860.57 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07324, over 46855.22 utterances.], batch size: 41, lr: 2.12e-04
+2022-09-18 22:06:01,072 INFO [train.py:885] (0/2) Epoch 22, batch 9350, loss[loss=0.3372, simple_loss=0.3957, pruned_loss=0.1393, over 14308.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03925, over 283.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3522, pruned_loss=0.1058, over 2777110.18 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07302, over 45871.22 utterances.], batch size: 283, lr: 2.12e-04
+2022-09-18 22:06:31,075 INFO [train.py:885] (0/2) Epoch 22, batch 9400, loss[loss=0.1408, simple_loss=0.2059, pruned_loss=0.03789, over 13224.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.1097, over 33.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3547, pruned_loss=0.1062, over 2776000.45 frames. utt_duration=234.7 frames, utt_pad_proportion=0.0746, over 47613.83 utterances.], batch size: 33, lr: 2.12e-04
+2022-09-18 22:07:00,951 INFO [train.py:885] (0/2) Epoch 22, batch 9450, loss[loss=0.3926, simple_loss=0.4866, pruned_loss=0.1493, over 13144.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1081, over 653.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3512, pruned_loss=0.104, over 2778146.40 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07249, over 46172.50 utterances.], batch size: 653, lr: 2.12e-04
+2022-09-18 22:07:30,357 INFO [train.py:885] (0/2) Epoch 22, batch 9500, loss[loss=0.2002, simple_loss=0.241, pruned_loss=0.07971, over 12323.00 frames. utt_duration=2055 frames, utt_pad_proportion=0.1619, over 24.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3545, pruned_loss=0.1058, over 2779464.07 frames. utt_duration=237 frames, utt_pad_proportion=0.07337, over 47208.25 utterances.], batch size: 24, lr: 2.12e-04
+2022-09-18 22:07:59,868 INFO [train.py:885] (0/2) Epoch 22, batch 9550, loss[loss=0.1808, simple_loss=0.2523, pruned_loss=0.05461, over 13738.00 frames. utt_duration=917.2 frames, utt_pad_proportion=0.0791, over 60.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3522, pruned_loss=0.1043, over 2780266.01 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07294, over 46675.55 utterances.], batch size: 60, lr: 2.12e-04
+2022-09-18 22:08:30,038 INFO [train.py:885] (0/2) Epoch 22, batch 9600, loss[loss=0.1974, simple_loss=0.2624, pruned_loss=0.06618, over 14102.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05248, over 98.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3533, pruned_loss=0.1049, over 2776837.71 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07461, over 47489.54 utterances.], batch size: 98, lr: 2.12e-04
+2022-09-18 22:08:59,919 INFO [train.py:885] (0/2) Epoch 22, batch 9650, loss[loss=0.2312, simple_loss=0.2964, pruned_loss=0.08304, over 14318.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04188, over 110.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3521, pruned_loss=0.1048, over 2773725.01 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07479, over 46852.25 utterances.], batch size: 110, lr: 2.12e-04
+2022-09-18 22:09:28,955 INFO [train.py:885] (0/2) Epoch 22, batch 9700, loss[loss=0.3303, simple_loss=0.3816, pruned_loss=0.1394, over 14363.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03523, over 195.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3516, pruned_loss=0.1045, over 2772148.17 frames. utt_duration=239.2 frames, utt_pad_proportion=0.0752, over 46649.31 utterances.], batch size: 195, lr: 2.12e-04
+2022-09-18 22:09:58,731 INFO [train.py:885] (0/2) Epoch 22, batch 9750, loss[loss=0.1932, simple_loss=0.2773, pruned_loss=0.05458, over 14017.00 frames. utt_duration=711.1 frames, utt_pad_proportion=0.05434, over 79.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3504, pruned_loss=0.1038, over 2771408.81 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07476, over 45961.64 utterances.], batch size: 79, lr: 2.12e-04
+2022-09-18 22:10:28,246 INFO [train.py:885] (0/2) Epoch 22, batch 9800, loss[loss=0.232, simple_loss=0.2951, pruned_loss=0.08444, over 14033.00 frames. utt_duration=632.1 frames, utt_pad_proportion=0.05802, over 89.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3504, pruned_loss=0.104, over 2775629.52 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0745, over 45522.62 utterances.], batch size: 89, lr: 2.12e-04
+2022-09-18 22:10:57,495 INFO [train.py:885] (0/2) Epoch 22, batch 9850, loss[loss=0.2066, simple_loss=0.2629, pruned_loss=0.07509, over 13867.00 frames. utt_duration=925.6 frames, utt_pad_proportion=0.06692, over 60.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3504, pruned_loss=0.1039, over 2775084.67 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07468, over 46501.03 utterances.], batch size: 60, lr: 2.12e-04
+2022-09-18 22:11:27,368 INFO [train.py:885] (0/2) Epoch 22, batch 9900, loss[loss=0.238, simple_loss=0.297, pruned_loss=0.08948, over 14152.00 frames. utt_duration=718.1 frames, utt_pad_proportion=0.04887, over 79.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3524, pruned_loss=0.1052, over 2777407.85 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07432, over 46903.22 utterances.], batch size: 79, lr: 2.12e-04
+2022-09-18 22:11:56,794 INFO [train.py:885] (0/2) Epoch 22, batch 9950, loss[loss=0.2612, simple_loss=0.3332, pruned_loss=0.09463, over 14096.00 frames. utt_duration=518.7 frames, utt_pad_proportion=0.05001, over 109.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.355, pruned_loss=0.1071, over 2777984.64 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07364, over 47239.08 utterances.], batch size: 109, lr: 2.12e-04
+2022-09-18 22:12:26,093 INFO [train.py:885] (0/2) Epoch 22, batch 10000, loss[loss=0.362, simple_loss=0.413, pruned_loss=0.1555, over 14230.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04292, over 306.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3517, pruned_loss=0.1051, over 2777150.70 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07306, over 45940.33 utterances.], batch size: 306, lr: 2.12e-04
+2022-09-18 22:12:55,758 INFO [train.py:885] (0/2) Epoch 22, batch 10050, loss[loss=0.2215, simple_loss=0.2936, pruned_loss=0.07466, over 13716.00 frames. utt_duration=915.8 frames, utt_pad_proportion=0.07405, over 60.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3507, pruned_loss=0.1044, over 2776980.78 frames. utt_duration=245.8 frames, utt_pad_proportion=0.0722, over 45469.23 utterances.], batch size: 60, lr: 2.12e-04
+2022-09-18 22:13:25,630 INFO [train.py:885] (0/2) Epoch 22, batch 10100, loss[loss=0.212, simple_loss=0.2828, pruned_loss=0.07059, over 14102.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05249, over 98.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3493, pruned_loss=0.1033, over 2774190.02 frames. utt_duration=248.4 frames, utt_pad_proportion=0.0726, over 44945.18 utterances.], batch size: 98, lr: 2.12e-04
+2022-09-18 22:13:54,918 INFO [train.py:885] (0/2) Epoch 22, batch 10150, loss[loss=0.3654, simple_loss=0.4484, pruned_loss=0.1412, over 13580.00 frames. utt_duration=98.33 frames, utt_pad_proportion=0.08107, over 560.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3505, pruned_loss=0.1036, over 2771779.89 frames. utt_duration=242 frames, utt_pad_proportion=0.07463, over 46092.73 utterances.], batch size: 560, lr: 2.12e-04
+2022-09-18 22:14:24,552 INFO [train.py:885] (0/2) Epoch 22, batch 10200, loss[loss=0.2643, simple_loss=0.336, pruned_loss=0.09628, over 14263.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04456, over 141.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3453, pruned_loss=0.102, over 2772995.27 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07301, over 43349.98 utterances.], batch size: 141, lr: 2.12e-04
+2022-09-18 22:14:58,951 INFO [train.py:885] (0/2) Epoch 22, batch 10250, loss[loss=0.1815, simple_loss=0.2352, pruned_loss=0.06388, over 12973.00 frames. utt_duration=1574 frames, utt_pad_proportion=0.1285, over 33.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3472, pruned_loss=0.1026, over 2774958.82 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07376, over 44320.20 utterances.], batch size: 33, lr: 2.12e-04
+2022-09-18 22:15:30,883 INFO [train.py:885] (0/2) Epoch 22, batch 10300, loss[loss=0.2758, simple_loss=0.3628, pruned_loss=0.0944, over 14309.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03894, over 195.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3469, pruned_loss=0.1024, over 2772736.17 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07396, over 44904.31 utterances.], batch size: 195, lr: 2.12e-04
+2022-09-18 22:16:00,851 INFO [train.py:885] (0/2) Epoch 22, batch 10350, loss[loss=0.2469, simple_loss=0.3014, pruned_loss=0.09626, over 13786.00 frames. utt_duration=920.4 frames, utt_pad_proportion=0.07035, over 60.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.351, pruned_loss=0.104, over 2771102.13 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07328, over 46286.12 utterances.], batch size: 60, lr: 2.12e-04
+2022-09-18 22:16:29,703 INFO [train.py:885] (0/2) Epoch 22, batch 10400, loss[loss=0.2109, simple_loss=0.2793, pruned_loss=0.07124, over 13838.00 frames. utt_duration=923.9 frames, utt_pad_proportion=0.0668, over 60.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3512, pruned_loss=0.1042, over 2775486.91 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07159, over 45816.60 utterances.], batch size: 60, lr: 2.12e-04
+2022-09-18 22:16:59,622 INFO [train.py:885] (0/2) Epoch 22, batch 10450, loss[loss=0.1719, simple_loss=0.2395, pruned_loss=0.05212, over 13604.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.08785, over 42.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.353, pruned_loss=0.1046, over 2778135.88 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07291, over 46739.35 utterances.], batch size: 42, lr: 2.12e-04
+2022-09-18 22:17:29,299 INFO [train.py:885] (0/2) Epoch 22, batch 10500, loss[loss=0.3278, simple_loss=0.3849, pruned_loss=0.1354, over 14249.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04557, over 141.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3494, pruned_loss=0.1029, over 2783316.13 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07128, over 44910.52 utterances.], batch size: 141, lr: 2.12e-04
+2022-09-18 22:17:58,522 INFO [train.py:885] (0/2) Epoch 22, batch 10550, loss[loss=0.1856, simple_loss=0.2663, pruned_loss=0.05245, over 14203.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04667, over 89.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3469, pruned_loss=0.1015, over 2786674.23 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06851, over 43702.52 utterances.], batch size: 89, lr: 2.12e-04
+2022-09-18 22:18:27,976 INFO [train.py:885] (0/2) Epoch 22, batch 10600, loss[loss=0.307, simple_loss=0.3789, pruned_loss=0.1175, over 14342.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03815, over 244.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3485, pruned_loss=0.1027, over 2781883.16 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06966, over 44827.73 utterances.], batch size: 244, lr: 2.12e-04
+2022-09-18 22:18:57,793 INFO [train.py:885] (0/2) Epoch 22, batch 10650, loss[loss=0.3528, simple_loss=0.398, pruned_loss=0.1538, over 14281.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03949, over 180.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3521, pruned_loss=0.1051, over 2784503.86 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06992, over 46255.52 utterances.], batch size: 180, lr: 2.12e-04
+2022-09-18 22:19:27,108 INFO [train.py:885] (0/2) Epoch 22, batch 10700, loss[loss=0.1654, simple_loss=0.2104, pruned_loss=0.06019, over 13162.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.1154, over 33.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3498, pruned_loss=0.1042, over 2780775.00 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07116, over 45339.59 utterances.], batch size: 33, lr: 2.12e-04
+2022-09-18 22:19:56,937 INFO [train.py:885] (0/2) Epoch 22, batch 10750, loss[loss=0.216, simple_loss=0.2887, pruned_loss=0.07165, over 14226.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.0415, over 109.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.349, pruned_loss=0.1037, over 2777763.18 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07223, over 44863.37 utterances.], batch size: 109, lr: 2.12e-04
+2022-09-18 22:20:26,439 INFO [train.py:885] (0/2) Epoch 22, batch 10800, loss[loss=0.1908, simple_loss=0.2804, pruned_loss=0.05056, over 13780.00 frames. utt_duration=800.5 frames, utt_pad_proportion=0.06813, over 69.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3499, pruned_loss=0.1041, over 2778672.07 frames. utt_duration=246 frames, utt_pad_proportion=0.0719, over 45463.14 utterances.], batch size: 69, lr: 2.12e-04
+2022-09-18 22:20:56,578 INFO [train.py:885] (0/2) Epoch 22, batch 10850, loss[loss=0.1313, simple_loss=0.1867, pruned_loss=0.0379, over 13161.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.1089, over 33.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3496, pruned_loss=0.1038, over 2779014.36 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07069, over 45305.22 utterances.], batch size: 33, lr: 2.12e-04
+2022-09-18 22:21:26,376 INFO [train.py:885] (0/2) Epoch 22, batch 10900, loss[loss=0.471, simple_loss=0.5657, pruned_loss=0.1881, over 12572.00 frames. utt_duration=63.54 frames, utt_pad_proportion=0.1413, over 810.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3528, pruned_loss=0.1051, over 2781021.03 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07208, over 46721.43 utterances.], batch size: 810, lr: 2.12e-04
+2022-09-18 22:21:55,699 INFO [train.py:885] (0/2) Epoch 22, batch 10950, loss[loss=0.2381, simple_loss=0.3071, pruned_loss=0.08453, over 14339.00 frames. utt_duration=479.4 frames, utt_pad_proportion=0.03735, over 120.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3477, pruned_loss=0.1031, over 2784570.34 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06966, over 44179.27 utterances.], batch size: 120, lr: 2.12e-04
+2022-09-18 22:22:14,121 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-276000.pt
+2022-09-18 22:22:26,249 INFO [train.py:885] (0/2) Epoch 22, batch 11000, loss[loss=0.2646, simple_loss=0.3501, pruned_loss=0.08951, over 14355.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0376, over 244.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3497, pruned_loss=0.1037, over 2786283.91 frames. utt_duration=249.3 frames, utt_pad_proportion=0.0703, over 44966.49 utterances.], batch size: 244, lr: 2.12e-04
+2022-09-18 22:22:56,516 INFO [train.py:885] (0/2) Epoch 22, batch 11050, loss[loss=0.3634, simple_loss=0.4602, pruned_loss=0.1333, over 13129.00 frames. utt_duration=82 frames, utt_pad_proportion=0.1087, over 653.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3495, pruned_loss=0.1031, over 2787636.06 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06828, over 45142.43 utterances.], batch size: 653, lr: 2.12e-04
+2022-09-18 22:23:26,721 INFO [train.py:885] (0/2) Epoch 22, batch 11100, loss[loss=0.2673, simple_loss=0.3519, pruned_loss=0.09139, over 14318.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.0384, over 195.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3493, pruned_loss=0.1026, over 2783362.50 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07105, over 45928.72 utterances.], batch size: 195, lr: 2.12e-04
+2022-09-18 22:23:56,638 INFO [train.py:885] (0/2) Epoch 22, batch 11150, loss[loss=0.2031, simple_loss=0.2644, pruned_loss=0.07093, over 12700.00 frames. utt_duration=2033 frames, utt_pad_proportion=0.1489, over 25.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3481, pruned_loss=0.1026, over 2780581.86 frames. utt_duration=250 frames, utt_pad_proportion=0.06992, over 44759.06 utterances.], batch size: 25, lr: 2.12e-04
+2022-09-18 22:24:26,852 INFO [train.py:885] (0/2) Epoch 22, batch 11200, loss[loss=0.2258, simple_loss=0.292, pruned_loss=0.07977, over 14198.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04704, over 89.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3489, pruned_loss=0.1032, over 2778236.10 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07092, over 45455.99 utterances.], batch size: 89, lr: 2.12e-04
+2022-09-18 22:24:56,154 INFO [train.py:885] (0/2) Epoch 22, batch 11250, loss[loss=0.5471, simple_loss=0.6246, pruned_loss=0.2348, over 12410.00 frames. utt_duration=62.81 frames, utt_pad_proportion=0.1512, over 810.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3509, pruned_loss=0.1042, over 2781098.66 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07092, over 46112.26 utterances.], batch size: 810, lr: 2.12e-04
+2022-09-18 22:25:26,161 INFO [train.py:885] (0/2) Epoch 22, batch 11300, loss[loss=0.3003, simple_loss=0.3763, pruned_loss=0.1122, over 14261.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04082, over 225.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3522, pruned_loss=0.1049, over 2782358.79 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07128, over 46634.91 utterances.], batch size: 225, lr: 2.12e-04
+2022-09-18 22:25:55,302 INFO [train.py:885] (0/2) Epoch 22, batch 11350, loss[loss=0.324, simple_loss=0.3878, pruned_loss=0.1301, over 14243.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04237, over 335.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3507, pruned_loss=0.1044, over 2786951.40 frames. utt_duration=249 frames, utt_pad_proportion=0.0699, over 45030.35 utterances.], batch size: 335, lr: 2.11e-04
+2022-09-18 22:26:26,113 INFO [train.py:885] (0/2) Epoch 22, batch 11400, loss[loss=0.1656, simple_loss=0.2144, pruned_loss=0.05845, over 13565.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08435, over 50.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3577, pruned_loss=0.1081, over 2778859.87 frames. utt_duration=229 frames, utt_pad_proportion=0.07584, over 48849.85 utterances.], batch size: 50, lr: 2.11e-04
+2022-09-18 22:26:55,474 INFO [train.py:885] (0/2) Epoch 22, batch 11450, loss[loss=0.2971, simple_loss=0.3896, pruned_loss=0.1023, over 14034.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05393, over 365.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3533, pruned_loss=0.1057, over 2780691.14 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07376, over 46929.23 utterances.], batch size: 365, lr: 2.11e-04
+2022-09-18 22:27:26,401 INFO [train.py:885] (0/2) Epoch 22, batch 11500, loss[loss=0.36, simple_loss=0.4569, pruned_loss=0.1316, over 13208.00 frames. utt_duration=82.42 frames, utt_pad_proportion=0.1042, over 653.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3577, pruned_loss=0.1079, over 2776417.77 frames. utt_duration=225.8 frames, utt_pad_proportion=0.07636, over 49516.34 utterances.], batch size: 653, lr: 2.11e-04
+2022-09-18 22:27:55,722 INFO [train.py:885] (0/2) Epoch 22, batch 11550, loss[loss=0.2371, simple_loss=0.3199, pruned_loss=0.07714, over 14309.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.04065, over 154.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3511, pruned_loss=0.1043, over 2780547.65 frames. utt_duration=240 frames, utt_pad_proportion=0.07333, over 46638.67 utterances.], batch size: 154, lr: 2.11e-04
+2022-09-18 22:28:25,456 INFO [train.py:885] (0/2) Epoch 22, batch 11600, loss[loss=0.2712, simple_loss=0.3538, pruned_loss=0.09425, over 14370.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03242, over 244.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3507, pruned_loss=0.1044, over 2784835.93 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07195, over 45857.64 utterances.], batch size: 244, lr: 2.11e-04
+2022-09-18 22:28:55,291 INFO [train.py:885] (0/2) Epoch 22, batch 11650, loss[loss=0.26, simple_loss=0.3241, pruned_loss=0.09799, over 14092.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05318, over 98.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3513, pruned_loss=0.1042, over 2782258.08 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07297, over 46525.17 utterances.], batch size: 98, lr: 2.11e-04
+2022-09-18 22:29:25,731 INFO [train.py:885] (0/2) Epoch 22, batch 11700, loss[loss=0.2306, simple_loss=0.3163, pruned_loss=0.07244, over 14355.00 frames. utt_duration=480 frames, utt_pad_proportion=0.03806, over 120.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3528, pruned_loss=0.1046, over 2781346.10 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07309, over 47119.21 utterances.], batch size: 120, lr: 2.11e-04
+2022-09-18 22:29:55,347 INFO [train.py:885] (0/2) Epoch 22, batch 11750, loss[loss=0.2312, simple_loss=0.3049, pruned_loss=0.07874, over 14108.00 frames. utt_duration=519.2 frames, utt_pad_proportion=0.04908, over 109.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3516, pruned_loss=0.1041, over 2781758.13 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07034, over 46412.99 utterances.], batch size: 109, lr: 2.11e-04
+2022-09-18 22:30:25,513 INFO [train.py:885] (0/2) Epoch 22, batch 11800, loss[loss=0.1714, simple_loss=0.2298, pruned_loss=0.05654, over 13493.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.09166, over 42.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3528, pruned_loss=0.105, over 2781192.24 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07161, over 46670.88 utterances.], batch size: 42, lr: 2.11e-04
+2022-09-18 22:30:54,289 INFO [train.py:885] (0/2) Epoch 22, batch 11850, loss[loss=0.2354, simple_loss=0.2944, pruned_loss=0.08823, over 13998.00 frames. utt_duration=710.1 frames, utt_pad_proportion=0.06192, over 79.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3561, pruned_loss=0.1071, over 2781252.12 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07182, over 47612.72 utterances.], batch size: 79, lr: 2.11e-04
+2022-09-18 22:31:24,506 INFO [train.py:885] (0/2) Epoch 22, batch 11900, loss[loss=0.3547, simple_loss=0.4063, pruned_loss=0.1515, over 14324.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03797, over 283.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3572, pruned_loss=0.108, over 2782121.37 frames. utt_duration=233.1 frames, utt_pad_proportion=0.0716, over 48041.47 utterances.], batch size: 283, lr: 2.11e-04
+2022-09-18 22:31:54,203 INFO [train.py:885] (0/2) Epoch 22, batch 11950, loss[loss=0.2029, simple_loss=0.2691, pruned_loss=0.06833, over 13940.00 frames. utt_duration=707.3 frames, utt_pad_proportion=0.05949, over 79.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3535, pruned_loss=0.1058, over 2782305.53 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07077, over 46969.65 utterances.], batch size: 79, lr: 2.11e-04
+2022-09-18 22:32:24,811 INFO [train.py:885] (0/2) Epoch 22, batch 12000, loss[loss=0.1793, simple_loss=0.2196, pruned_loss=0.06951, over 13038.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1217, over 33.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3534, pruned_loss=0.1058, over 2785958.24 frames. utt_duration=238.2 frames, utt_pad_proportion=0.06879, over 47064.08 utterances.], batch size: 33, lr: 2.11e-04
+2022-09-18 22:32:24,813 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 22:32:29,043 INFO [train.py:914] (0/2) Epoch 22, validation: loss=0.1992, simple_loss=0.2792, pruned_loss=0.05959, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 22:32:59,467 INFO [train.py:885] (0/2) Epoch 22, batch 12050, loss[loss=0.3429, simple_loss=0.4337, pruned_loss=0.126, over 13658.00 frames. utt_duration=98.93 frames, utt_pad_proportion=0.07545, over 560.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3502, pruned_loss=0.1047, over 2786918.68 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06878, over 45533.91 utterances.], batch size: 560, lr: 2.11e-04
+2022-09-18 22:33:29,200 INFO [train.py:885] (0/2) Epoch 22, batch 12100, loss[loss=0.3507, simple_loss=0.4111, pruned_loss=0.1451, over 14233.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.0427, over 306.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3491, pruned_loss=0.1042, over 2786261.40 frames. utt_duration=249 frames, utt_pad_proportion=0.0691, over 45023.27 utterances.], batch size: 306, lr: 2.11e-04
+2022-09-18 22:33:59,126 INFO [train.py:885] (0/2) Epoch 22, batch 12150, loss[loss=0.2049, simple_loss=0.2814, pruned_loss=0.06417, over 14221.00 frames. utt_duration=640.7 frames, utt_pad_proportion=0.04521, over 89.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3514, pruned_loss=0.1048, over 2784670.13 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07219, over 46070.22 utterances.], batch size: 89, lr: 2.11e-04
+2022-09-18 22:34:28,727 INFO [train.py:885] (0/2) Epoch 22, batch 12200, loss[loss=0.1921, simple_loss=0.2584, pruned_loss=0.06295, over 13393.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08578, over 41.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3502, pruned_loss=0.1037, over 2782120.71 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07238, over 46535.69 utterances.], batch size: 41, lr: 2.11e-04
+2022-09-18 22:34:58,656 INFO [train.py:885] (0/2) Epoch 22, batch 12250, loss[loss=0.1765, simple_loss=0.2438, pruned_loss=0.05463, over 12292.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.1474, over 24.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3528, pruned_loss=0.1057, over 2782615.94 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07237, over 46794.33 utterances.], batch size: 24, lr: 2.11e-04
+2022-09-18 22:35:28,822 INFO [train.py:885] (0/2) Epoch 22, batch 12300, loss[loss=0.3331, simple_loss=0.4244, pruned_loss=0.1208, over 13615.00 frames. utt_duration=98.63 frames, utt_pad_proportion=0.07825, over 560.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.356, pruned_loss=0.1068, over 2785081.67 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07023, over 47980.79 utterances.], batch size: 560, lr: 2.11e-04
+2022-09-18 22:35:59,088 INFO [train.py:885] (0/2) Epoch 22, batch 12350, loss[loss=0.6494, simple_loss=0.6917, pruned_loss=0.3035, over 12439.00 frames. utt_duration=63.08 frames, utt_pad_proportion=0.1476, over 810.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3562, pruned_loss=0.1076, over 2781001.90 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07189, over 47987.97 utterances.], batch size: 810, lr: 2.11e-04
+2022-09-18 22:36:29,301 INFO [train.py:885] (0/2) Epoch 22, batch 12400, loss[loss=0.326, simple_loss=0.4141, pruned_loss=0.119, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07098, over 411.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.356, pruned_loss=0.1073, over 2782904.89 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07146, over 48137.28 utterances.], batch size: 411, lr: 2.11e-04
+2022-09-18 22:36:58,382 INFO [train.py:885] (0/2) Epoch 22, batch 12450, loss[loss=0.2945, simple_loss=0.3644, pruned_loss=0.1123, over 14345.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03394, over 244.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3531, pruned_loss=0.1066, over 2783003.30 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07059, over 46335.82 utterances.], batch size: 244, lr: 2.11e-04
+2022-09-18 22:37:28,545 INFO [train.py:885] (0/2) Epoch 22, batch 12500, loss[loss=0.4181, simple_loss=0.4536, pruned_loss=0.1913, over 14332.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03489, over 244.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3565, pruned_loss=0.109, over 2783068.02 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07145, over 47181.85 utterances.], batch size: 244, lr: 2.11e-04
+2022-09-18 22:37:58,864 INFO [train.py:885] (0/2) Epoch 22, batch 12550, loss[loss=0.2322, simple_loss=0.3006, pruned_loss=0.0819, over 14318.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03872, over 120.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3593, pruned_loss=0.1091, over 2783014.48 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07215, over 48795.79 utterances.], batch size: 120, lr: 2.11e-04
+2022-09-18 22:38:26,819 INFO [train.py:885] (0/2) Epoch 22, batch 12600, loss[loss=0.2095, simple_loss=0.2786, pruned_loss=0.0702, over 13859.00 frames. utt_duration=805 frames, utt_pad_proportion=0.06291, over 69.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3583, pruned_loss=0.1086, over 2779170.42 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07284, over 48120.51 utterances.], batch size: 69, lr: 2.11e-04
+2022-09-18 22:38:37,857 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-22.pt
+2022-09-18 22:38:45,334 INFO [train.py:885] (0/2) Epoch 23, batch 0, loss[loss=0.1904, simple_loss=0.2593, pruned_loss=0.06079, over 13033.00 frames. utt_duration=2006 frames, utt_pad_proportion=0.113, over 26.00 utterances.], tot_loss[loss=0.1904, simple_loss=0.2593, pruned_loss=0.06079, over 13033.00 frames. utt_duration=2006 frames, utt_pad_proportion=0.113, over 26.00 utterances.], batch size: 26, lr: 2.06e-04
+2022-09-18 22:39:15,865 INFO [train.py:885] (0/2) Epoch 23, batch 50, loss[loss=0.331, simple_loss=0.3979, pruned_loss=0.1321, over 14300.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03927, over 226.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3537, pruned_loss=0.1076, over 627289.73 frames. utt_duration=237.3 frames, utt_pad_proportion=0.0722, over 10638.68 utterances.], batch size: 226, lr: 2.06e-04
+2022-09-18 22:39:46,649 INFO [train.py:885] (0/2) Epoch 23, batch 100, loss[loss=0.2139, simple_loss=0.29, pruned_loss=0.0689, over 14281.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04137, over 120.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3506, pruned_loss=0.1039, over 1101893.06 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07478, over 19267.59 utterances.], batch size: 120, lr: 2.06e-04
+2022-09-18 22:40:15,966 INFO [train.py:885] (0/2) Epoch 23, batch 150, loss[loss=0.2224, simple_loss=0.2931, pruned_loss=0.07586, over 14158.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.0455, over 109.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3457, pruned_loss=0.1027, over 1476094.45 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07039, over 23711.09 utterances.], batch size: 109, lr: 2.06e-04
+2022-09-18 22:40:45,376 INFO [train.py:885] (0/2) Epoch 23, batch 200, loss[loss=0.1506, simple_loss=0.2086, pruned_loss=0.04632, over 13920.00 frames. utt_duration=929.2 frames, utt_pad_proportion=0.06514, over 60.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3441, pruned_loss=0.1019, over 1761330.14 frames. utt_duration=257.7 frames, utt_pad_proportion=0.07014, over 27501.73 utterances.], batch size: 60, lr: 2.06e-04
+2022-09-18 22:41:14,905 INFO [train.py:885] (0/2) Epoch 23, batch 250, loss[loss=0.2427, simple_loss=0.3137, pruned_loss=0.08586, over 14252.00 frames. utt_duration=476.5 frames, utt_pad_proportion=0.0412, over 120.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3455, pruned_loss=0.1034, over 1987386.04 frames. utt_duration=261.1 frames, utt_pad_proportion=0.06968, over 30621.75 utterances.], batch size: 120, lr: 2.06e-04
+2022-09-18 22:41:45,503 INFO [train.py:885] (0/2) Epoch 23, batch 300, loss[loss=0.2561, simple_loss=0.3425, pruned_loss=0.0848, over 14339.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03686, over 210.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.348, pruned_loss=0.1029, over 2163441.15 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07088, over 35460.88 utterances.], batch size: 210, lr: 2.06e-04
+2022-09-18 22:42:15,645 INFO [train.py:885] (0/2) Epoch 23, batch 350, loss[loss=0.241, simple_loss=0.3125, pruned_loss=0.08476, over 14328.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03792, over 120.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3479, pruned_loss=0.1038, over 2300349.23 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07217, over 37406.71 utterances.], batch size: 120, lr: 2.06e-04
+2022-09-18 22:42:44,767 INFO [train.py:885] (0/2) Epoch 23, batch 400, loss[loss=0.1978, simple_loss=0.2763, pruned_loss=0.05962, over 13693.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08422, over 42.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3476, pruned_loss=0.1033, over 2406141.10 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07083, over 39133.87 utterances.], batch size: 42, lr: 2.06e-04
+2022-09-18 22:43:14,426 INFO [train.py:885] (0/2) Epoch 23, batch 450, loss[loss=0.2999, simple_loss=0.3615, pruned_loss=0.1191, over 14279.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04048, over 154.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3425, pruned_loss=0.1009, over 2485082.37 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06997, over 38492.33 utterances.], batch size: 154, lr: 2.06e-04
+2022-09-18 22:43:45,113 INFO [train.py:885] (0/2) Epoch 23, batch 500, loss[loss=0.4186, simple_loss=0.4431, pruned_loss=0.1971, over 14220.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04383, over 335.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3461, pruned_loss=0.1028, over 2543194.12 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07383, over 40790.42 utterances.], batch size: 335, lr: 2.06e-04
+2022-09-18 22:44:15,004 INFO [train.py:885] (0/2) Epoch 23, batch 550, loss[loss=0.2891, simple_loss=0.3625, pruned_loss=0.1079, over 14277.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.03956, over 154.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3481, pruned_loss=0.1034, over 2598038.71 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07292, over 41805.73 utterances.], batch size: 154, lr: 2.06e-04
+2022-09-18 22:44:44,597 INFO [train.py:885] (0/2) Epoch 23, batch 600, loss[loss=0.3088, simple_loss=0.4014, pruned_loss=0.1081, over 13680.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08001, over 478.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3502, pruned_loss=0.1042, over 2637549.72 frames. utt_duration=244.4 frames, utt_pad_proportion=0.0747, over 43433.55 utterances.], batch size: 478, lr: 2.06e-04
+2022-09-18 22:45:14,014 INFO [train.py:885] (0/2) Epoch 23, batch 650, loss[loss=0.1596, simple_loss=0.2174, pruned_loss=0.05093, over 13183.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1013, over 33.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3485, pruned_loss=0.1032, over 2669573.30 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07403, over 43205.72 utterances.], batch size: 33, lr: 2.06e-04
+2022-09-18 22:45:43,741 INFO [train.py:885] (0/2) Epoch 23, batch 700, loss[loss=0.2226, simple_loss=0.2868, pruned_loss=0.07919, over 13676.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.08012, over 50.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3481, pruned_loss=0.1026, over 2703098.59 frames. utt_duration=254.1 frames, utt_pad_proportion=0.0708, over 42804.50 utterances.], batch size: 50, lr: 2.06e-04
+2022-09-18 22:46:13,427 INFO [train.py:885] (0/2) Epoch 23, batch 750, loss[loss=0.1663, simple_loss=0.2384, pruned_loss=0.04713, over 13784.00 frames. utt_duration=920.3 frames, utt_pad_proportion=0.07418, over 60.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3464, pruned_loss=0.1015, over 2717496.65 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07148, over 42885.62 utterances.], batch size: 60, lr: 2.06e-04
+2022-09-18 22:46:42,815 INFO [train.py:885] (0/2) Epoch 23, batch 800, loss[loss=0.1735, simple_loss=0.2194, pruned_loss=0.06385, over 13257.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.09581, over 41.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3431, pruned_loss=0.09966, over 2732656.78 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06987, over 42199.82 utterances.], batch size: 41, lr: 2.06e-04
+2022-09-18 22:47:12,469 INFO [train.py:885] (0/2) Epoch 23, batch 850, loss[loss=0.3352, simple_loss=0.41, pruned_loss=0.1302, over 14003.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05606, over 365.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3503, pruned_loss=0.1034, over 2742010.02 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07095, over 45344.79 utterances.], batch size: 365, lr: 2.06e-04
+2022-09-18 22:47:42,651 INFO [train.py:885] (0/2) Epoch 23, batch 900, loss[loss=0.2109, simple_loss=0.2874, pruned_loss=0.06719, over 14160.00 frames. utt_duration=637.8 frames, utt_pad_proportion=0.04952, over 89.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3508, pruned_loss=0.1045, over 2747826.92 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07094, over 45422.81 utterances.], batch size: 89, lr: 2.06e-04
+2022-09-18 22:48:12,690 INFO [train.py:885] (0/2) Epoch 23, batch 950, loss[loss=0.1999, simple_loss=0.2647, pruned_loss=0.06756, over 13709.00 frames. utt_duration=796.4 frames, utt_pad_proportion=0.07074, over 69.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3517, pruned_loss=0.1049, over 2753388.50 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07177, over 46089.89 utterances.], batch size: 69, lr: 2.06e-04
+2022-09-18 22:48:42,215 INFO [train.py:885] (0/2) Epoch 23, batch 1000, loss[loss=0.2859, simple_loss=0.3513, pruned_loss=0.1102, over 14330.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03419, over 195.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3527, pruned_loss=0.1045, over 2761186.76 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07137, over 46821.29 utterances.], batch size: 195, lr: 2.06e-04
+2022-09-18 22:49:11,811 INFO [train.py:885] (0/2) Epoch 23, batch 1050, loss[loss=0.3174, simple_loss=0.3876, pruned_loss=0.1236, over 14298.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.03881, over 225.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3519, pruned_loss=0.1043, over 2762926.74 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07296, over 46041.87 utterances.], batch size: 225, lr: 2.06e-04
+2022-09-18 22:49:41,760 INFO [train.py:885] (0/2) Epoch 23, batch 1100, loss[loss=0.2427, simple_loss=0.306, pruned_loss=0.08971, over 14135.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.04882, over 98.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3483, pruned_loss=0.1022, over 2762676.12 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07438, over 45090.19 utterances.], batch size: 98, lr: 2.06e-04
+2022-09-18 22:50:11,059 INFO [train.py:885] (0/2) Epoch 23, batch 1150, loss[loss=0.3964, simple_loss=0.4318, pruned_loss=0.1805, over 14232.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04354, over 335.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3465, pruned_loss=0.102, over 2766386.27 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07293, over 43944.28 utterances.], batch size: 335, lr: 2.06e-04
+2022-09-18 22:50:40,740 INFO [train.py:885] (0/2) Epoch 23, batch 1200, loss[loss=0.3137, simple_loss=0.3808, pruned_loss=0.1233, over 14372.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03213, over 244.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3468, pruned_loss=0.1026, over 2769770.73 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07201, over 44128.47 utterances.], batch size: 244, lr: 2.06e-04
+2022-09-18 22:51:10,637 INFO [train.py:885] (0/2) Epoch 23, batch 1250, loss[loss=0.2709, simple_loss=0.3526, pruned_loss=0.09455, over 14271.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.041, over 225.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3517, pruned_loss=0.1043, over 2769226.70 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07347, over 46459.37 utterances.], batch size: 225, lr: 2.06e-04
+2022-09-18 22:51:40,376 INFO [train.py:885] (0/2) Epoch 23, batch 1300, loss[loss=0.3914, simple_loss=0.4654, pruned_loss=0.1587, over 13831.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06794, over 411.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3501, pruned_loss=0.1033, over 2773260.12 frames. utt_duration=244.2 frames, utt_pad_proportion=0.0716, over 45705.08 utterances.], batch size: 411, lr: 2.06e-04
+2022-09-18 22:52:09,830 INFO [train.py:885] (0/2) Epoch 23, batch 1350, loss[loss=0.2188, simple_loss=0.2991, pruned_loss=0.06927, over 14188.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04416, over 109.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3556, pruned_loss=0.1061, over 2771943.00 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07601, over 48161.60 utterances.], batch size: 109, lr: 2.06e-04
+2022-09-18 22:52:39,628 INFO [train.py:885] (0/2) Epoch 23, batch 1400, loss[loss=0.2694, simple_loss=0.3538, pruned_loss=0.09255, over 14344.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03842, over 244.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3528, pruned_loss=0.1047, over 2775065.89 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07405, over 47080.89 utterances.], batch size: 244, lr: 2.06e-04
+2022-09-18 22:53:09,547 INFO [train.py:885] (0/2) Epoch 23, batch 1450, loss[loss=0.2977, simple_loss=0.3682, pruned_loss=0.1136, over 14397.00 frames. utt_duration=275.7 frames, utt_pad_proportion=0.03272, over 210.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3489, pruned_loss=0.103, over 2770718.37 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07525, over 46190.37 utterances.], batch size: 210, lr: 2.06e-04
+2022-09-18 22:53:39,748 INFO [train.py:885] (0/2) Epoch 23, batch 1500, loss[loss=0.2818, simple_loss=0.3608, pruned_loss=0.1014, over 14268.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04053, over 225.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3469, pruned_loss=0.1021, over 2775612.75 frames. utt_duration=247 frames, utt_pad_proportion=0.07332, over 45222.49 utterances.], batch size: 225, lr: 2.06e-04
+2022-09-18 22:54:09,623 INFO [train.py:885] (0/2) Epoch 23, batch 1550, loss[loss=0.1762, simple_loss=0.2472, pruned_loss=0.05253, over 13969.00 frames. utt_duration=708.7 frames, utt_pad_proportion=0.0576, over 79.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3446, pruned_loss=0.1016, over 2775718.11 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07192, over 43818.73 utterances.], batch size: 79, lr: 2.06e-04
+2022-09-18 22:54:38,971 INFO [train.py:885] (0/2) Epoch 23, batch 1600, loss[loss=0.2842, simple_loss=0.3602, pruned_loss=0.104, over 14358.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03722, over 244.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3459, pruned_loss=0.1024, over 2778604.11 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07152, over 43966.94 utterances.], batch size: 244, lr: 2.06e-04
+2022-09-18 22:55:08,593 INFO [train.py:885] (0/2) Epoch 23, batch 1650, loss[loss=0.2801, simple_loss=0.3602, pruned_loss=0.1, over 14345.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.0364, over 226.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.343, pruned_loss=0.1007, over 2777909.73 frames. utt_duration=264.1 frames, utt_pad_proportion=0.06885, over 42305.35 utterances.], batch size: 226, lr: 2.06e-04
+2022-09-18 22:55:37,741 INFO [train.py:885] (0/2) Epoch 23, batch 1700, loss[loss=0.228, simple_loss=0.2823, pruned_loss=0.08687, over 13558.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08418, over 50.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.346, pruned_loss=0.1023, over 2776120.38 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07133, over 43990.91 utterances.], batch size: 50, lr: 2.06e-04
+2022-09-18 22:56:08,286 INFO [train.py:885] (0/2) Epoch 23, batch 1750, loss[loss=0.3194, simple_loss=0.3715, pruned_loss=0.1337, over 14252.00 frames. utt_duration=524.5 frames, utt_pad_proportion=0.03942, over 109.00 utterances.], tot_loss[loss=0.279, simple_loss=0.35, pruned_loss=0.104, over 2777183.24 frames. utt_duration=246.5 frames, utt_pad_proportion=0.0724, over 45338.13 utterances.], batch size: 109, lr: 2.06e-04
+2022-09-18 22:56:37,605 INFO [train.py:885] (0/2) Epoch 23, batch 1800, loss[loss=0.5297, simple_loss=0.6065, pruned_loss=0.2265, over 12399.00 frames. utt_duration=62.83 frames, utt_pad_proportion=0.151, over 810.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3464, pruned_loss=0.1027, over 2779281.66 frames. utt_duration=257.4 frames, utt_pad_proportion=0.07166, over 43441.53 utterances.], batch size: 810, lr: 2.06e-04
+2022-09-18 22:57:07,111 INFO [train.py:885] (0/2) Epoch 23, batch 1850, loss[loss=0.4012, simple_loss=0.4429, pruned_loss=0.1798, over 14231.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04401, over 335.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3471, pruned_loss=0.1037, over 2778315.27 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07237, over 44051.76 utterances.], batch size: 335, lr: 2.06e-04
+2022-09-18 22:57:37,397 INFO [train.py:885] (0/2) Epoch 23, batch 1900, loss[loss=0.1547, simple_loss=0.2146, pruned_loss=0.04745, over 13049.00 frames. utt_duration=2009 frames, utt_pad_proportion=0.1272, over 26.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3442, pruned_loss=0.1019, over 2779730.08 frames. utt_duration=256.5 frames, utt_pad_proportion=0.071, over 43607.82 utterances.], batch size: 26, lr: 2.06e-04
+2022-09-18 22:58:08,086 INFO [train.py:885] (0/2) Epoch 23, batch 1950, loss[loss=0.2969, simple_loss=0.362, pruned_loss=0.1159, over 14345.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.03555, over 154.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3461, pruned_loss=0.1024, over 2783248.00 frames. utt_duration=255 frames, utt_pad_proportion=0.06957, over 43909.47 utterances.], batch size: 154, lr: 2.06e-04
+2022-09-18 22:58:37,409 INFO [train.py:885] (0/2) Epoch 23, batch 2000, loss[loss=0.2107, simple_loss=0.2833, pruned_loss=0.0691, over 14234.00 frames. utt_duration=641.2 frames, utt_pad_proportion=0.04441, over 89.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3457, pruned_loss=0.102, over 2785613.32 frames. utt_duration=254.3 frames, utt_pad_proportion=0.068, over 44074.02 utterances.], batch size: 89, lr: 2.06e-04
+2022-09-18 22:59:07,586 INFO [train.py:885] (0/2) Epoch 23, batch 2050, loss[loss=0.324, simple_loss=0.3886, pruned_loss=0.1297, over 14351.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03392, over 244.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3465, pruned_loss=0.1029, over 2785499.63 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06758, over 44130.82 utterances.], batch size: 244, lr: 2.06e-04
+2022-09-18 22:59:37,417 INFO [train.py:885] (0/2) Epoch 23, batch 2100, loss[loss=0.2894, simple_loss=0.366, pruned_loss=0.1064, over 14354.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03732, over 244.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.347, pruned_loss=0.1033, over 2782214.08 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06934, over 44316.97 utterances.], batch size: 244, lr: 2.06e-04
+2022-09-18 23:00:07,530 INFO [train.py:885] (0/2) Epoch 23, batch 2150, loss[loss=0.296, simple_loss=0.3838, pruned_loss=0.1041, over 13843.00 frames. utt_duration=136.3 frames, utt_pad_proportion=0.06664, over 411.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3483, pruned_loss=0.104, over 2782355.40 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07058, over 44542.26 utterances.], batch size: 411, lr: 2.06e-04
+2022-09-18 23:00:36,893 INFO [train.py:885] (0/2) Epoch 23, batch 2200, loss[loss=0.2274, simple_loss=0.3113, pruned_loss=0.0717, over 14231.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04468, over 141.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3486, pruned_loss=0.104, over 2789527.70 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06814, over 43522.80 utterances.], batch size: 141, lr: 2.06e-04
+2022-09-18 23:01:07,153 INFO [train.py:885] (0/2) Epoch 23, batch 2250, loss[loss=0.3949, simple_loss=0.4932, pruned_loss=0.1483, over 13086.00 frames. utt_duration=81.71 frames, utt_pad_proportion=0.1118, over 653.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3505, pruned_loss=0.1047, over 2784505.33 frames. utt_duration=250 frames, utt_pad_proportion=0.06919, over 44818.90 utterances.], batch size: 653, lr: 2.06e-04
+2022-09-18 23:01:36,799 INFO [train.py:885] (0/2) Epoch 23, batch 2300, loss[loss=0.3607, simple_loss=0.4029, pruned_loss=0.1592, over 14310.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03821, over 154.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3469, pruned_loss=0.1036, over 2779175.14 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06981, over 43608.83 utterances.], batch size: 154, lr: 2.06e-04
+2022-09-18 23:02:06,651 INFO [train.py:885] (0/2) Epoch 23, batch 2350, loss[loss=0.3807, simple_loss=0.4269, pruned_loss=0.1673, over 14194.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04495, over 306.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3501, pruned_loss=0.1044, over 2781915.52 frames. utt_duration=246.7 frames, utt_pad_proportion=0.0702, over 45380.19 utterances.], batch size: 306, lr: 2.06e-04
+2022-09-18 23:02:13,419 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-280000.pt
+2022-09-18 23:02:36,893 INFO [train.py:885] (0/2) Epoch 23, batch 2400, loss[loss=0.3008, simple_loss=0.3724, pruned_loss=0.1146, over 14325.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03873, over 262.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.353, pruned_loss=0.1047, over 2780526.99 frames. utt_duration=237 frames, utt_pad_proportion=0.07224, over 47219.06 utterances.], batch size: 262, lr: 2.06e-04
+2022-09-18 23:03:07,572 INFO [train.py:885] (0/2) Epoch 23, batch 2450, loss[loss=0.2142, simple_loss=0.2959, pruned_loss=0.06622, over 14207.00 frames. utt_duration=522.8 frames, utt_pad_proportion=0.04249, over 109.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3536, pruned_loss=0.1052, over 2781638.64 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07136, over 46916.34 utterances.], batch size: 109, lr: 2.06e-04
+2022-09-18 23:03:37,286 INFO [train.py:885] (0/2) Epoch 23, batch 2500, loss[loss=0.3613, simple_loss=0.4492, pruned_loss=0.1367, over 13816.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06888, over 411.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3516, pruned_loss=0.1048, over 2778918.69 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07159, over 45932.00 utterances.], batch size: 411, lr: 2.06e-04
+2022-09-18 23:04:07,523 INFO [train.py:885] (0/2) Epoch 23, batch 2550, loss[loss=0.211, simple_loss=0.2893, pruned_loss=0.06632, over 14259.00 frames. utt_duration=476.6 frames, utt_pad_proportion=0.04294, over 120.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3504, pruned_loss=0.1035, over 2780465.34 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07208, over 46137.29 utterances.], batch size: 120, lr: 2.06e-04
+2022-09-18 23:04:37,480 INFO [train.py:885] (0/2) Epoch 23, batch 2600, loss[loss=0.239, simple_loss=0.3016, pruned_loss=0.08824, over 14176.00 frames. utt_duration=580 frames, utt_pad_proportion=0.04757, over 98.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3477, pruned_loss=0.1029, over 2780227.93 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07103, over 44613.10 utterances.], batch size: 98, lr: 2.06e-04
+2022-09-18 23:05:07,035 INFO [train.py:885] (0/2) Epoch 23, batch 2650, loss[loss=0.1838, simple_loss=0.2499, pruned_loss=0.05889, over 13296.00 frames. utt_duration=2047 frames, utt_pad_proportion=0.0951, over 26.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.345, pruned_loss=0.102, over 2778134.03 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06993, over 43376.34 utterances.], batch size: 26, lr: 2.06e-04
+2022-09-18 23:05:36,650 INFO [train.py:885] (0/2) Epoch 23, batch 2700, loss[loss=0.194, simple_loss=0.2714, pruned_loss=0.05826, over 14048.00 frames. utt_duration=712.9 frames, utt_pad_proportion=0.05581, over 79.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3459, pruned_loss=0.1023, over 2776146.85 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07259, over 43819.89 utterances.], batch size: 79, lr: 2.05e-04
+2022-09-18 23:06:06,810 INFO [train.py:885] (0/2) Epoch 23, batch 2750, loss[loss=0.2532, simple_loss=0.3328, pruned_loss=0.08684, over 14400.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03324, over 155.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3441, pruned_loss=0.1011, over 2774960.52 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07258, over 43386.13 utterances.], batch size: 155, lr: 2.05e-04
+2022-09-18 23:06:36,766 INFO [train.py:885] (0/2) Epoch 23, batch 2800, loss[loss=0.1425, simple_loss=0.2076, pruned_loss=0.03869, over 13132.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1178, over 33.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3456, pruned_loss=0.1018, over 2776170.68 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07169, over 43782.01 utterances.], batch size: 33, lr: 2.05e-04
+2022-09-18 23:07:06,083 INFO [train.py:885] (0/2) Epoch 23, batch 2850, loss[loss=0.1751, simple_loss=0.2376, pruned_loss=0.05624, over 13630.00 frames. utt_duration=1331 frames, utt_pad_proportion=0.07103, over 41.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3423, pruned_loss=0.1002, over 2778596.56 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06969, over 42759.74 utterances.], batch size: 41, lr: 2.05e-04
+2022-09-18 23:07:36,227 INFO [train.py:885] (0/2) Epoch 23, batch 2900, loss[loss=0.2004, simple_loss=0.2655, pruned_loss=0.06762, over 13967.00 frames. utt_duration=811.3 frames, utt_pad_proportion=0.05558, over 69.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3456, pruned_loss=0.1019, over 2777143.80 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07046, over 43736.84 utterances.], batch size: 69, lr: 2.05e-04
+2022-09-18 23:08:06,587 INFO [train.py:885] (0/2) Epoch 23, batch 2950, loss[loss=0.2736, simple_loss=0.356, pruned_loss=0.09562, over 14244.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04239, over 225.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3471, pruned_loss=0.1022, over 2777174.35 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07137, over 45008.07 utterances.], batch size: 225, lr: 2.05e-04
+2022-09-18 23:08:36,799 INFO [train.py:885] (0/2) Epoch 23, batch 3000, loss[loss=0.3264, simple_loss=0.3883, pruned_loss=0.1322, over 14358.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03655, over 283.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3444, pruned_loss=0.1012, over 2772073.96 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07064, over 43980.60 utterances.], batch size: 283, lr: 2.05e-04
+2022-09-18 23:08:36,801 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 23:08:41,018 INFO [train.py:914] (0/2) Epoch 23, validation: loss=0.184, simple_loss=0.2639, pruned_loss=0.05207, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 23:09:10,781 INFO [train.py:885] (0/2) Epoch 23, batch 3050, loss[loss=0.1635, simple_loss=0.2504, pruned_loss=0.03826, over 13057.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1179, over 33.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3459, pruned_loss=0.1023, over 2773936.60 frames. utt_duration=254.6 frames, utt_pad_proportion=0.07181, over 43829.40 utterances.], batch size: 33, lr: 2.05e-04
+2022-09-18 23:09:40,795 INFO [train.py:885] (0/2) Epoch 23, batch 3100, loss[loss=0.1904, simple_loss=0.2561, pruned_loss=0.06231, over 13661.00 frames. utt_duration=912.2 frames, utt_pad_proportion=0.08417, over 60.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3447, pruned_loss=0.1012, over 2780705.37 frames. utt_duration=259.2 frames, utt_pad_proportion=0.06939, over 43148.79 utterances.], batch size: 60, lr: 2.05e-04
+2022-09-18 23:10:10,276 INFO [train.py:885] (0/2) Epoch 23, batch 3150, loss[loss=0.1792, simple_loss=0.2352, pruned_loss=0.0616, over 13831.00 frames. utt_duration=923.5 frames, utt_pad_proportion=0.07183, over 60.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3459, pruned_loss=0.1023, over 2783701.80 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06805, over 43172.57 utterances.], batch size: 60, lr: 2.05e-04
+2022-09-18 23:10:39,073 INFO [train.py:885] (0/2) Epoch 23, batch 3200, loss[loss=0.3315, simple_loss=0.393, pruned_loss=0.135, over 14329.00 frames. utt_duration=236.3 frames, utt_pad_proportion=0.03541, over 244.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3419, pruned_loss=0.09995, over 2783386.13 frames. utt_duration=267.3 frames, utt_pad_proportion=0.06713, over 41874.40 utterances.], batch size: 244, lr: 2.05e-04
+2022-09-18 23:11:08,946 INFO [train.py:885] (0/2) Epoch 23, batch 3250, loss[loss=0.2548, simple_loss=0.3233, pruned_loss=0.09309, over 14322.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03677, over 130.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3439, pruned_loss=0.1013, over 2784098.34 frames. utt_duration=263.4 frames, utt_pad_proportion=0.06837, over 42514.93 utterances.], batch size: 130, lr: 2.05e-04
+2022-09-18 23:11:39,531 INFO [train.py:885] (0/2) Epoch 23, batch 3300, loss[loss=0.329, simple_loss=0.3871, pruned_loss=0.1355, over 14274.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04055, over 225.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.346, pruned_loss=0.1022, over 2783921.09 frames. utt_duration=254.5 frames, utt_pad_proportion=0.069, over 44002.85 utterances.], batch size: 225, lr: 2.05e-04
+2022-09-18 23:12:09,005 INFO [train.py:885] (0/2) Epoch 23, batch 3350, loss[loss=0.2006, simple_loss=0.2693, pruned_loss=0.06594, over 13403.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08572, over 41.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3444, pruned_loss=0.1017, over 2784848.00 frames. utt_duration=262.6 frames, utt_pad_proportion=0.06814, over 42652.35 utterances.], batch size: 41, lr: 2.05e-04
+2022-09-18 23:12:39,025 INFO [train.py:885] (0/2) Epoch 23, batch 3400, loss[loss=0.1489, simple_loss=0.214, pruned_loss=0.04189, over 13416.00 frames. utt_duration=1628 frames, utt_pad_proportion=0.1002, over 33.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3473, pruned_loss=0.1027, over 2780720.14 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07095, over 44181.61 utterances.], batch size: 33, lr: 2.05e-04
+2022-09-18 23:13:08,082 INFO [train.py:885] (0/2) Epoch 23, batch 3450, loss[loss=0.3218, simple_loss=0.3927, pruned_loss=0.1255, over 14227.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04361, over 335.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3501, pruned_loss=0.104, over 2781241.87 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07212, over 46538.89 utterances.], batch size: 335, lr: 2.05e-04
+2022-09-18 23:13:37,769 INFO [train.py:885] (0/2) Epoch 23, batch 3500, loss[loss=0.3204, simple_loss=0.4106, pruned_loss=0.1151, over 13673.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0801, over 478.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3451, pruned_loss=0.1009, over 2782085.36 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06979, over 44402.60 utterances.], batch size: 478, lr: 2.05e-04
+2022-09-18 23:14:07,098 INFO [train.py:885] (0/2) Epoch 23, batch 3550, loss[loss=0.3018, simple_loss=0.3746, pruned_loss=0.1145, over 14357.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03546, over 210.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3472, pruned_loss=0.102, over 2785570.90 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06812, over 44927.55 utterances.], batch size: 210, lr: 2.05e-04
+2022-09-18 23:14:36,726 INFO [train.py:885] (0/2) Epoch 23, batch 3600, loss[loss=0.2945, simple_loss=0.3644, pruned_loss=0.1123, over 14314.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03993, over 262.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3472, pruned_loss=0.1022, over 2785760.25 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06908, over 44728.56 utterances.], batch size: 262, lr: 2.05e-04
+2022-09-18 23:15:06,114 INFO [train.py:885] (0/2) Epoch 23, batch 3650, loss[loss=0.2255, simple_loss=0.2932, pruned_loss=0.07891, over 14083.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05524, over 98.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3464, pruned_loss=0.102, over 2786857.31 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06768, over 44365.99 utterances.], batch size: 98, lr: 2.05e-04
+2022-09-18 23:15:36,288 INFO [train.py:885] (0/2) Epoch 23, batch 3700, loss[loss=0.3649, simple_loss=0.4184, pruned_loss=0.1557, over 14227.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04326, over 335.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3484, pruned_loss=0.1032, over 2790284.54 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06697, over 44713.28 utterances.], batch size: 335, lr: 2.05e-04
+2022-09-18 23:16:14,189 INFO [train.py:885] (0/2) Epoch 23, batch 3750, loss[loss=0.1952, simple_loss=0.2493, pruned_loss=0.07057, over 13527.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08488, over 50.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3502, pruned_loss=0.1029, over 2786878.72 frames. utt_duration=240.3 frames, utt_pad_proportion=0.06926, over 46674.79 utterances.], batch size: 50, lr: 2.05e-04
+2022-09-18 23:16:43,830 INFO [train.py:885] (0/2) Epoch 23, batch 3800, loss[loss=0.1939, simple_loss=0.2736, pruned_loss=0.05708, over 14066.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.05599, over 70.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3473, pruned_loss=0.1018, over 2780119.71 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06994, over 45268.74 utterances.], batch size: 70, lr: 2.05e-04
+2022-09-18 23:17:12,850 INFO [train.py:885] (0/2) Epoch 23, batch 3850, loss[loss=0.2869, simple_loss=0.3533, pruned_loss=0.1103, over 14343.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03633, over 226.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3459, pruned_loss=0.1014, over 2778356.12 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07048, over 44402.30 utterances.], batch size: 226, lr: 2.05e-04
+2022-09-18 23:17:42,507 INFO [train.py:885] (0/2) Epoch 23, batch 3900, loss[loss=0.2928, simple_loss=0.3614, pruned_loss=0.1121, over 14306.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04002, over 262.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3448, pruned_loss=0.1005, over 2780533.31 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06855, over 44078.97 utterances.], batch size: 262, lr: 2.05e-04
+2022-09-18 23:18:12,685 INFO [train.py:885] (0/2) Epoch 23, batch 3950, loss[loss=0.3518, simple_loss=0.4247, pruned_loss=0.1394, over 13979.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05703, over 365.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3467, pruned_loss=0.1014, over 2775789.70 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07333, over 45602.79 utterances.], batch size: 365, lr: 2.05e-04
+2022-09-18 23:18:41,827 INFO [train.py:885] (0/2) Epoch 23, batch 4000, loss[loss=0.1664, simple_loss=0.2341, pruned_loss=0.04932, over 13338.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.09079, over 41.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3451, pruned_loss=0.1007, over 2777504.31 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07126, over 44965.67 utterances.], batch size: 41, lr: 2.05e-04
+2022-09-18 23:19:11,769 INFO [train.py:885] (0/2) Epoch 23, batch 4050, loss[loss=0.3559, simple_loss=0.4057, pruned_loss=0.153, over 14275.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04051, over 180.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.347, pruned_loss=0.1017, over 2777307.41 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07381, over 45889.36 utterances.], batch size: 180, lr: 2.05e-04
+2022-09-18 23:19:40,981 INFO [train.py:885] (0/2) Epoch 23, batch 4100, loss[loss=0.2553, simple_loss=0.3292, pruned_loss=0.09069, over 14311.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.0395, over 130.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3438, pruned_loss=0.1003, over 2774422.88 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07321, over 44490.75 utterances.], batch size: 130, lr: 2.05e-04
+2022-09-18 23:20:11,793 INFO [train.py:885] (0/2) Epoch 23, batch 4150, loss[loss=0.1285, simple_loss=0.1957, pruned_loss=0.03062, over 13602.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.07892, over 50.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3487, pruned_loss=0.1028, over 2767210.48 frames. utt_duration=237 frames, utt_pad_proportion=0.07737, over 46996.67 utterances.], batch size: 50, lr: 2.05e-04
+2022-09-18 23:20:41,044 INFO [train.py:885] (0/2) Epoch 23, batch 4200, loss[loss=0.2657, simple_loss=0.3512, pruned_loss=0.09014, over 14271.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04037, over 225.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3525, pruned_loss=0.1047, over 2770843.66 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07546, over 48236.63 utterances.], batch size: 225, lr: 2.05e-04
+2022-09-18 23:21:09,805 INFO [train.py:885] (0/2) Epoch 23, batch 4250, loss[loss=0.3033, simple_loss=0.3731, pruned_loss=0.1167, over 14313.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04, over 262.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3523, pruned_loss=0.1046, over 2776316.18 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07464, over 47399.29 utterances.], batch size: 262, lr: 2.05e-04
+2022-09-18 23:21:39,632 INFO [train.py:885] (0/2) Epoch 23, batch 4300, loss[loss=0.3253, simple_loss=0.4033, pruned_loss=0.1236, over 13800.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07004, over 411.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3544, pruned_loss=0.1053, over 2779919.02 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07348, over 47884.50 utterances.], batch size: 411, lr: 2.05e-04
+2022-09-18 23:22:09,428 INFO [train.py:885] (0/2) Epoch 23, batch 4350, loss[loss=0.316, simple_loss=0.373, pruned_loss=0.1295, over 14277.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04349, over 141.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3517, pruned_loss=0.1038, over 2780806.01 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07241, over 47125.33 utterances.], batch size: 141, lr: 2.05e-04
+2022-09-18 23:22:38,550 INFO [train.py:885] (0/2) Epoch 23, batch 4400, loss[loss=0.3311, simple_loss=0.4088, pruned_loss=0.1267, over 13986.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.057, over 365.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.35, pruned_loss=0.1028, over 2780266.72 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07105, over 46360.49 utterances.], batch size: 365, lr: 2.05e-04
+2022-09-18 23:23:08,353 INFO [train.py:885] (0/2) Epoch 23, batch 4450, loss[loss=0.1735, simple_loss=0.2423, pruned_loss=0.05237, over 13882.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06556, over 60.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3506, pruned_loss=0.1033, over 2781755.99 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06984, over 46311.25 utterances.], batch size: 60, lr: 2.05e-04
+2022-09-18 23:23:38,197 INFO [train.py:885] (0/2) Epoch 23, batch 4500, loss[loss=0.1507, simple_loss=0.2101, pruned_loss=0.04565, over 13135.00 frames. utt_duration=1283 frames, utt_pad_proportion=0.1023, over 41.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3543, pruned_loss=0.1049, over 2781211.80 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07139, over 48356.52 utterances.], batch size: 41, lr: 2.05e-04
+2022-09-18 23:24:07,821 INFO [train.py:885] (0/2) Epoch 23, batch 4550, loss[loss=0.3441, simple_loss=0.4184, pruned_loss=0.1349, over 13743.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07394, over 411.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3556, pruned_loss=0.1061, over 2780579.14 frames. utt_duration=229.5 frames, utt_pad_proportion=0.07216, over 48778.08 utterances.], batch size: 411, lr: 2.05e-04
+2022-09-18 23:24:37,760 INFO [train.py:885] (0/2) Epoch 23, batch 4600, loss[loss=0.2183, simple_loss=0.2876, pruned_loss=0.07446, over 14038.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05835, over 98.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3506, pruned_loss=0.1033, over 2776577.08 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07141, over 46388.59 utterances.], batch size: 98, lr: 2.05e-04
+2022-09-18 23:25:07,193 INFO [train.py:885] (0/2) Epoch 23, batch 4650, loss[loss=0.187, simple_loss=0.2531, pruned_loss=0.06045, over 13525.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08883, over 50.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3499, pruned_loss=0.1037, over 2780677.34 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06945, over 45885.56 utterances.], batch size: 50, lr: 2.05e-04
+2022-09-18 23:25:36,767 INFO [train.py:885] (0/2) Epoch 23, batch 4700, loss[loss=0.2081, simple_loss=0.2673, pruned_loss=0.07444, over 14030.00 frames. utt_duration=921.8 frames, utt_pad_proportion=0.06229, over 61.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3482, pruned_loss=0.1027, over 2781587.82 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06999, over 45158.17 utterances.], batch size: 61, lr: 2.05e-04
+2022-09-18 23:26:05,930 INFO [train.py:885] (0/2) Epoch 23, batch 4750, loss[loss=0.3676, simple_loss=0.4194, pruned_loss=0.1579, over 14165.00 frames. utt_duration=186.8 frames, utt_pad_proportion=0.047, over 306.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3452, pruned_loss=0.1009, over 2786101.14 frames. utt_duration=257.3 frames, utt_pad_proportion=0.0677, over 43557.33 utterances.], batch size: 306, lr: 2.05e-04
+2022-09-18 23:26:35,197 INFO [train.py:885] (0/2) Epoch 23, batch 4800, loss[loss=0.2769, simple_loss=0.3552, pruned_loss=0.09931, over 14235.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04265, over 306.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.349, pruned_loss=0.1024, over 2786232.45 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06876, over 45419.76 utterances.], batch size: 306, lr: 2.05e-04
+2022-09-18 23:27:04,859 INFO [train.py:885] (0/2) Epoch 23, batch 4850, loss[loss=0.255, simple_loss=0.3254, pruned_loss=0.09233, over 14291.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.04254, over 120.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3483, pruned_loss=0.1023, over 2788529.91 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06831, over 45132.14 utterances.], batch size: 120, lr: 2.05e-04
+2022-09-18 23:27:34,186 INFO [train.py:885] (0/2) Epoch 23, batch 4900, loss[loss=0.2944, simple_loss=0.3683, pruned_loss=0.1102, over 14340.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03668, over 210.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3518, pruned_loss=0.1042, over 2785434.77 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06952, over 45979.97 utterances.], batch size: 210, lr: 2.05e-04
+2022-09-18 23:28:03,726 INFO [train.py:885] (0/2) Epoch 23, batch 4950, loss[loss=0.346, simple_loss=0.3977, pruned_loss=0.1471, over 14227.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04272, over 306.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3504, pruned_loss=0.1032, over 2787462.19 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06789, over 45646.43 utterances.], batch size: 306, lr: 2.05e-04
+2022-09-18 23:28:33,464 INFO [train.py:885] (0/2) Epoch 23, batch 5000, loss[loss=0.2085, simple_loss=0.2886, pruned_loss=0.06416, over 14243.00 frames. utt_duration=476.3 frames, utt_pad_proportion=0.04361, over 120.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3469, pruned_loss=0.1016, over 2782397.48 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06954, over 45219.88 utterances.], batch size: 120, lr: 2.05e-04
+2022-09-18 23:29:03,255 INFO [train.py:885] (0/2) Epoch 23, batch 5050, loss[loss=0.3225, simple_loss=0.3863, pruned_loss=0.1293, over 14320.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03893, over 262.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3494, pruned_loss=0.1028, over 2777178.48 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07275, over 46600.74 utterances.], batch size: 262, lr: 2.05e-04
+2022-09-18 23:29:32,318 INFO [train.py:885] (0/2) Epoch 23, batch 5100, loss[loss=0.3158, simple_loss=0.386, pruned_loss=0.1228, over 14208.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04398, over 306.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3523, pruned_loss=0.1042, over 2780763.30 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07276, over 47240.45 utterances.], batch size: 306, lr: 2.05e-04
+2022-09-18 23:30:01,873 INFO [train.py:885] (0/2) Epoch 23, batch 5150, loss[loss=0.1704, simple_loss=0.2407, pruned_loss=0.05012, over 13689.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07928, over 50.00 utterances.], tot_loss[loss=0.275, simple_loss=0.347, pruned_loss=0.1015, over 2777884.63 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07166, over 44997.64 utterances.], batch size: 50, lr: 2.05e-04
+2022-09-18 23:30:31,720 INFO [train.py:885] (0/2) Epoch 23, batch 5200, loss[loss=0.2566, simple_loss=0.3344, pruned_loss=0.08939, over 14342.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03885, over 167.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3495, pruned_loss=0.103, over 2781761.39 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07102, over 45834.36 utterances.], batch size: 167, lr: 2.05e-04
+2022-09-18 23:31:01,798 INFO [train.py:885] (0/2) Epoch 23, batch 5250, loss[loss=0.4409, simple_loss=0.5475, pruned_loss=0.1671, over 12500.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 810.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3504, pruned_loss=0.1034, over 2780204.52 frames. utt_duration=239 frames, utt_pad_proportion=0.07313, over 46829.97 utterances.], batch size: 810, lr: 2.05e-04
+2022-09-18 23:31:30,818 INFO [train.py:885] (0/2) Epoch 23, batch 5300, loss[loss=0.3299, simple_loss=0.3918, pruned_loss=0.134, over 14204.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.0449, over 306.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3523, pruned_loss=0.104, over 2781761.33 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07186, over 47547.45 utterances.], batch size: 306, lr: 2.05e-04
+2022-09-18 23:32:00,648 INFO [train.py:885] (0/2) Epoch 23, batch 5350, loss[loss=0.1608, simple_loss=0.213, pruned_loss=0.05426, over 13462.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09324, over 50.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3513, pruned_loss=0.1036, over 2779863.81 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07321, over 47279.24 utterances.], batch size: 50, lr: 2.05e-04
+2022-09-18 23:32:30,517 INFO [train.py:885] (0/2) Epoch 23, batch 5400, loss[loss=0.2331, simple_loss=0.3045, pruned_loss=0.08086, over 14168.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04532, over 109.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3499, pruned_loss=0.1027, over 2781867.03 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07202, over 46955.39 utterances.], batch size: 109, lr: 2.05e-04
+2022-09-18 23:33:07,954 INFO [train.py:885] (0/2) Epoch 23, batch 5450, loss[loss=0.2495, simple_loss=0.3087, pruned_loss=0.09516, over 14118.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.05146, over 98.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3516, pruned_loss=0.1031, over 2782180.83 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07288, over 47510.06 utterances.], batch size: 98, lr: 2.04e-04
+2022-09-18 23:33:37,661 INFO [train.py:885] (0/2) Epoch 23, batch 5500, loss[loss=0.3144, simple_loss=0.409, pruned_loss=0.1099, over 13746.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07364, over 411.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3502, pruned_loss=0.1032, over 2782451.41 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07167, over 46197.79 utterances.], batch size: 411, lr: 2.04e-04
+2022-09-18 23:34:07,041 INFO [train.py:885] (0/2) Epoch 23, batch 5550, loss[loss=0.5096, simple_loss=0.5901, pruned_loss=0.2145, over 12443.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1486, over 810.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3505, pruned_loss=0.1034, over 2780914.17 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07317, over 46000.50 utterances.], batch size: 810, lr: 2.04e-04
+2022-09-18 23:34:36,958 INFO [train.py:885] (0/2) Epoch 23, batch 5600, loss[loss=0.1879, simple_loss=0.2557, pruned_loss=0.06011, over 13918.00 frames. utt_duration=808.4 frames, utt_pad_proportion=0.05887, over 69.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3523, pruned_loss=0.1039, over 2777313.93 frames. utt_duration=234.9 frames, utt_pad_proportion=0.076, over 47597.85 utterances.], batch size: 69, lr: 2.04e-04
+2022-09-18 23:35:06,252 INFO [train.py:885] (0/2) Epoch 23, batch 5650, loss[loss=0.4912, simple_loss=0.58, pruned_loss=0.2012, over 12434.00 frames. utt_duration=62.99 frames, utt_pad_proportion=0.1488, over 810.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.352, pruned_loss=0.1031, over 2778521.85 frames. utt_duration=236 frames, utt_pad_proportion=0.07689, over 47391.28 utterances.], batch size: 810, lr: 2.04e-04
+2022-09-18 23:35:36,802 INFO [train.py:885] (0/2) Epoch 23, batch 5700, loss[loss=0.4661, simple_loss=0.5616, pruned_loss=0.1853, over 12473.00 frames. utt_duration=63.24 frames, utt_pad_proportion=0.1454, over 810.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.351, pruned_loss=0.1034, over 2774668.40 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07609, over 46801.56 utterances.], batch size: 810, lr: 2.04e-04
+2022-09-18 23:36:05,979 INFO [train.py:885] (0/2) Epoch 23, batch 5750, loss[loss=0.1543, simple_loss=0.2121, pruned_loss=0.04822, over 13445.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.0831, over 41.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3517, pruned_loss=0.1039, over 2770370.43 frames. utt_duration=235 frames, utt_pad_proportion=0.07682, over 47449.87 utterances.], batch size: 41, lr: 2.04e-04
+2022-09-18 23:36:35,165 INFO [train.py:885] (0/2) Epoch 23, batch 5800, loss[loss=0.2683, simple_loss=0.3358, pruned_loss=0.1004, over 14301.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.0419, over 120.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3513, pruned_loss=0.1049, over 2773105.99 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07654, over 46129.10 utterances.], batch size: 120, lr: 2.04e-04
+2022-09-18 23:37:04,872 INFO [train.py:885] (0/2) Epoch 23, batch 5850, loss[loss=0.2532, simple_loss=0.3394, pruned_loss=0.08343, over 14326.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03675, over 180.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3499, pruned_loss=0.1038, over 2775962.35 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07523, over 45621.98 utterances.], batch size: 180, lr: 2.04e-04
+2022-09-18 23:37:34,278 INFO [train.py:885] (0/2) Epoch 23, batch 5900, loss[loss=0.1252, simple_loss=0.1791, pruned_loss=0.0357, over 12216.00 frames. utt_duration=2038 frames, utt_pad_proportion=0.1776, over 24.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3519, pruned_loss=0.1055, over 2773064.73 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07695, over 46268.34 utterances.], batch size: 24, lr: 2.04e-04
+2022-09-18 23:38:03,667 INFO [train.py:885] (0/2) Epoch 23, batch 5950, loss[loss=0.1726, simple_loss=0.2287, pruned_loss=0.05831, over 13214.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1129, over 33.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3487, pruned_loss=0.1045, over 2776255.31 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07402, over 44431.62 utterances.], batch size: 33, lr: 2.04e-04
+2022-09-18 23:38:33,041 INFO [train.py:885] (0/2) Epoch 23, batch 6000, loss[loss=0.2748, simple_loss=0.3231, pruned_loss=0.1132, over 14115.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05149, over 98.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3488, pruned_loss=0.1048, over 2774194.26 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07525, over 44398.45 utterances.], batch size: 98, lr: 2.04e-04
+2022-09-18 23:38:33,043 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-18 23:38:37,786 INFO [train.py:914] (0/2) Epoch 23, validation: loss=0.1951, simple_loss=0.2729, pruned_loss=0.05862, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 23:39:07,590 INFO [train.py:885] (0/2) Epoch 23, batch 6050, loss[loss=0.2253, simple_loss=0.304, pruned_loss=0.07336, over 12131.00 frames. utt_duration=2023 frames, utt_pad_proportion=0.165, over 24.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3468, pruned_loss=0.1032, over 2777885.49 frames. utt_duration=259.2 frames, utt_pad_proportion=0.07194, over 43113.16 utterances.], batch size: 24, lr: 2.04e-04
+2022-09-18 23:39:37,633 INFO [train.py:885] (0/2) Epoch 23, batch 6100, loss[loss=0.4988, simple_loss=0.5024, pruned_loss=0.2476, over 14226.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04366, over 335.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3461, pruned_loss=0.1023, over 2782228.11 frames. utt_duration=257.8 frames, utt_pad_proportion=0.07042, over 43416.13 utterances.], batch size: 335, lr: 2.04e-04
+2022-09-18 23:40:06,896 INFO [train.py:885] (0/2) Epoch 23, batch 6150, loss[loss=0.2689, simple_loss=0.3427, pruned_loss=0.09755, over 14203.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.04894, over 141.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3474, pruned_loss=0.1027, over 2785554.49 frames. utt_duration=258.8 frames, utt_pad_proportion=0.0688, over 43303.46 utterances.], batch size: 141, lr: 2.04e-04
+2022-09-18 23:40:36,647 INFO [train.py:885] (0/2) Epoch 23, batch 6200, loss[loss=0.3104, simple_loss=0.3862, pruned_loss=0.1173, over 14272.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04069, over 225.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3481, pruned_loss=0.103, over 2778759.91 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07268, over 44558.83 utterances.], batch size: 225, lr: 2.04e-04
+2022-09-18 23:41:06,203 INFO [train.py:885] (0/2) Epoch 23, batch 6250, loss[loss=0.3291, simple_loss=0.3931, pruned_loss=0.1325, over 14238.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04309, over 335.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3463, pruned_loss=0.1023, over 2774623.80 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07449, over 44236.05 utterances.], batch size: 335, lr: 2.04e-04
+2022-09-18 23:41:35,725 INFO [train.py:885] (0/2) Epoch 23, batch 6300, loss[loss=0.4013, simple_loss=0.489, pruned_loss=0.1567, over 13198.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1047, over 653.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3466, pruned_loss=0.1015, over 2776512.23 frames. utt_duration=249.3 frames, utt_pad_proportion=0.0736, over 44812.49 utterances.], batch size: 653, lr: 2.04e-04
+2022-09-18 23:42:04,889 INFO [train.py:885] (0/2) Epoch 23, batch 6350, loss[loss=0.1876, simple_loss=0.2603, pruned_loss=0.05746, over 14068.00 frames. utt_duration=805.4 frames, utt_pad_proportion=0.05798, over 70.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3482, pruned_loss=0.1025, over 2771864.33 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07556, over 45840.97 utterances.], batch size: 70, lr: 2.04e-04
+2022-09-18 23:42:11,555 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-284000.pt
+2022-09-18 23:42:35,064 INFO [train.py:885] (0/2) Epoch 23, batch 6400, loss[loss=0.2732, simple_loss=0.353, pruned_loss=0.0967, over 14348.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.0355, over 154.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3489, pruned_loss=0.1025, over 2776227.46 frames. utt_duration=244 frames, utt_pad_proportion=0.07383, over 45793.93 utterances.], batch size: 154, lr: 2.04e-04
+2022-09-18 23:43:04,948 INFO [train.py:885] (0/2) Epoch 23, batch 6450, loss[loss=0.3468, simple_loss=0.4047, pruned_loss=0.1444, over 14317.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03847, over 195.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3486, pruned_loss=0.102, over 2773769.57 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07533, over 45994.95 utterances.], batch size: 195, lr: 2.04e-04
+2022-09-18 23:43:35,029 INFO [train.py:885] (0/2) Epoch 23, batch 6500, loss[loss=0.2052, simple_loss=0.2792, pruned_loss=0.06557, over 14070.00 frames. utt_duration=576 frames, utt_pad_proportion=0.05425, over 98.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3502, pruned_loss=0.1033, over 2775402.65 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07528, over 46586.48 utterances.], batch size: 98, lr: 2.04e-04
+2022-09-18 23:44:03,987 INFO [train.py:885] (0/2) Epoch 23, batch 6550, loss[loss=0.2334, simple_loss=0.2824, pruned_loss=0.09225, over 13920.00 frames. utt_duration=929.6 frames, utt_pad_proportion=0.06575, over 60.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3505, pruned_loss=0.1032, over 2780127.49 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07384, over 46498.88 utterances.], batch size: 60, lr: 2.04e-04
+2022-09-18 23:44:33,634 INFO [train.py:885] (0/2) Epoch 23, batch 6600, loss[loss=0.2994, simple_loss=0.3603, pruned_loss=0.1192, over 14389.00 frames. utt_duration=346 frames, utt_pad_proportion=0.03628, over 167.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3522, pruned_loss=0.1045, over 2783161.51 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07314, over 46588.34 utterances.], batch size: 167, lr: 2.04e-04
+2022-09-18 23:45:03,825 INFO [train.py:885] (0/2) Epoch 23, batch 6650, loss[loss=0.4134, simple_loss=0.4505, pruned_loss=0.1881, over 14343.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03642, over 210.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3499, pruned_loss=0.1037, over 2779712.48 frames. utt_duration=242 frames, utt_pad_proportion=0.07271, over 46231.09 utterances.], batch size: 210, lr: 2.04e-04
+2022-09-18 23:45:33,116 INFO [train.py:885] (0/2) Epoch 23, batch 6700, loss[loss=0.1984, simple_loss=0.2639, pruned_loss=0.06641, over 13872.00 frames. utt_duration=926.2 frames, utt_pad_proportion=0.06911, over 60.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3518, pruned_loss=0.1051, over 2783961.91 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07188, over 46090.00 utterances.], batch size: 60, lr: 2.04e-04
+2022-09-18 23:46:03,087 INFO [train.py:885] (0/2) Epoch 23, batch 6750, loss[loss=0.1203, simple_loss=0.1555, pruned_loss=0.04251, over 12262.00 frames. utt_duration=2045 frames, utt_pad_proportion=0.1763, over 24.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3529, pruned_loss=0.1055, over 2778465.14 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07289, over 47221.53 utterances.], batch size: 24, lr: 2.04e-04
+2022-09-18 23:46:32,423 INFO [train.py:885] (0/2) Epoch 23, batch 6800, loss[loss=0.319, simple_loss=0.4186, pruned_loss=0.1097, over 13737.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07341, over 411.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3504, pruned_loss=0.1036, over 2778893.47 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07171, over 46145.01 utterances.], batch size: 411, lr: 2.04e-04
+2022-09-18 23:47:02,151 INFO [train.py:885] (0/2) Epoch 23, batch 6850, loss[loss=0.1735, simple_loss=0.2527, pruned_loss=0.04711, over 12904.00 frames. utt_duration=1565 frames, utt_pad_proportion=0.1205, over 33.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3488, pruned_loss=0.1022, over 2776555.28 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07238, over 45721.99 utterances.], batch size: 33, lr: 2.04e-04
+2022-09-18 23:47:31,445 INFO [train.py:885] (0/2) Epoch 23, batch 6900, loss[loss=0.3497, simple_loss=0.4013, pruned_loss=0.149, over 14338.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03695, over 283.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3459, pruned_loss=0.1009, over 2777246.04 frames. utt_duration=248 frames, utt_pad_proportion=0.07057, over 45058.08 utterances.], batch size: 283, lr: 2.04e-04
+2022-09-18 23:48:01,062 INFO [train.py:885] (0/2) Epoch 23, batch 6950, loss[loss=0.2757, simple_loss=0.3501, pruned_loss=0.1007, over 14305.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04172, over 167.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3473, pruned_loss=0.1012, over 2779560.59 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07077, over 45510.62 utterances.], batch size: 167, lr: 2.04e-04
+2022-09-18 23:48:30,165 INFO [train.py:885] (0/2) Epoch 23, batch 7000, loss[loss=0.2079, simple_loss=0.2801, pruned_loss=0.06778, over 14320.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.04066, over 120.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3452, pruned_loss=0.0998, over 2782762.38 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06837, over 45208.40 utterances.], batch size: 120, lr: 2.04e-04
+2022-09-18 23:48:59,947 INFO [train.py:885] (0/2) Epoch 23, batch 7050, loss[loss=0.1853, simple_loss=0.2699, pruned_loss=0.05041, over 13532.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08826, over 50.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.352, pruned_loss=0.1034, over 2783129.65 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07137, over 47453.35 utterances.], batch size: 50, lr: 2.04e-04
+2022-09-18 23:49:29,204 INFO [train.py:885] (0/2) Epoch 23, batch 7100, loss[loss=0.3164, simple_loss=0.4077, pruned_loss=0.1125, over 13619.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.0813, over 477.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3503, pruned_loss=0.1033, over 2786550.09 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06931, over 46319.76 utterances.], batch size: 477, lr: 2.04e-04
+2022-09-18 23:49:58,737 INFO [train.py:885] (0/2) Epoch 23, batch 7150, loss[loss=0.2594, simple_loss=0.3282, pruned_loss=0.09533, over 14283.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03945, over 130.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.35, pruned_loss=0.1032, over 2786096.82 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06833, over 45983.62 utterances.], batch size: 130, lr: 2.04e-04
+2022-09-18 23:50:28,766 INFO [train.py:885] (0/2) Epoch 23, batch 7200, loss[loss=0.1724, simple_loss=0.2486, pruned_loss=0.04808, over 13636.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08198, over 50.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3506, pruned_loss=0.1038, over 2780952.46 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07176, over 46492.69 utterances.], batch size: 50, lr: 2.04e-04
+2022-09-18 23:50:58,555 INFO [train.py:885] (0/2) Epoch 23, batch 7250, loss[loss=0.2948, simple_loss=0.3823, pruned_loss=0.1037, over 14022.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05393, over 365.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3495, pruned_loss=0.1032, over 2781813.07 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07213, over 46673.84 utterances.], batch size: 365, lr: 2.04e-04
+2022-09-18 23:51:28,281 INFO [train.py:885] (0/2) Epoch 23, batch 7300, loss[loss=0.2723, simple_loss=0.3416, pruned_loss=0.1015, over 14344.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03759, over 130.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3491, pruned_loss=0.1029, over 2783719.17 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07167, over 46377.01 utterances.], batch size: 130, lr: 2.04e-04
+2022-09-18 23:51:57,399 INFO [train.py:885] (0/2) Epoch 23, batch 7350, loss[loss=0.2654, simple_loss=0.3513, pruned_loss=0.08978, over 14335.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03798, over 262.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3473, pruned_loss=0.1021, over 2777701.85 frames. utt_duration=246 frames, utt_pad_proportion=0.07014, over 45433.96 utterances.], batch size: 262, lr: 2.04e-04
+2022-09-18 23:52:27,153 INFO [train.py:885] (0/2) Epoch 23, batch 7400, loss[loss=0.3619, simple_loss=0.4466, pruned_loss=0.1385, over 13652.00 frames. utt_duration=98.95 frames, utt_pad_proportion=0.0752, over 560.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3506, pruned_loss=0.1033, over 2772990.42 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07375, over 47778.00 utterances.], batch size: 560, lr: 2.04e-04
+2022-09-18 23:52:57,177 INFO [train.py:885] (0/2) Epoch 23, batch 7450, loss[loss=0.1699, simple_loss=0.2478, pruned_loss=0.04605, over 13224.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09809, over 41.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3483, pruned_loss=0.1017, over 2780279.87 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07106, over 46073.21 utterances.], batch size: 41, lr: 2.04e-04
+2022-09-18 23:53:26,430 INFO [train.py:885] (0/2) Epoch 23, batch 7500, loss[loss=0.2531, simple_loss=0.3241, pruned_loss=0.09106, over 14329.00 frames. utt_duration=479 frames, utt_pad_proportion=0.03817, over 120.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3483, pruned_loss=0.1017, over 2781384.60 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07037, over 45757.35 utterances.], batch size: 120, lr: 2.04e-04
+2022-09-18 23:53:55,885 INFO [train.py:885] (0/2) Epoch 23, batch 7550, loss[loss=0.1755, simple_loss=0.2469, pruned_loss=0.05205, over 13441.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.08143, over 50.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3448, pruned_loss=0.1008, over 2782577.60 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06954, over 43814.27 utterances.], batch size: 50, lr: 2.04e-04
+2022-09-18 23:54:25,853 INFO [train.py:885] (0/2) Epoch 23, batch 7600, loss[loss=0.3337, simple_loss=0.4349, pruned_loss=0.1163, over 13585.00 frames. utt_duration=98.45 frames, utt_pad_proportion=0.07992, over 560.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3458, pruned_loss=0.1002, over 2782210.21 frames. utt_duration=245.1 frames, utt_pad_proportion=0.0702, over 45681.37 utterances.], batch size: 560, lr: 2.04e-04
+2022-09-18 23:54:54,813 INFO [train.py:885] (0/2) Epoch 23, batch 7650, loss[loss=0.2963, simple_loss=0.3894, pruned_loss=0.1016, over 13791.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06998, over 411.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3481, pruned_loss=0.102, over 2783650.52 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07031, over 46035.67 utterances.], batch size: 411, lr: 2.04e-04
+2022-09-18 23:55:24,444 INFO [train.py:885] (0/2) Epoch 23, batch 7700, loss[loss=0.1913, simple_loss=0.2338, pruned_loss=0.07439, over 13203.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1134, over 33.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3502, pruned_loss=0.1036, over 2782343.73 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07233, over 47083.61 utterances.], batch size: 33, lr: 2.04e-04
+2022-09-18 23:55:54,231 INFO [train.py:885] (0/2) Epoch 23, batch 7750, loss[loss=0.2017, simple_loss=0.2882, pruned_loss=0.0576, over 14214.00 frames. utt_duration=640.4 frames, utt_pad_proportion=0.04565, over 89.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.353, pruned_loss=0.1047, over 2780584.09 frames. utt_duration=230.1 frames, utt_pad_proportion=0.07329, over 48639.54 utterances.], batch size: 89, lr: 2.04e-04
+2022-09-18 23:56:24,136 INFO [train.py:885] (0/2) Epoch 23, batch 7800, loss[loss=0.3033, simple_loss=0.3905, pruned_loss=0.1081, over 13707.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07553, over 411.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.352, pruned_loss=0.1044, over 2776313.78 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07449, over 47912.87 utterances.], batch size: 411, lr: 2.04e-04
+2022-09-18 23:56:53,500 INFO [train.py:885] (0/2) Epoch 23, batch 7850, loss[loss=0.3088, simple_loss=0.4122, pruned_loss=0.1027, over 13593.00 frames. utt_duration=98.53 frames, utt_pad_proportion=0.07916, over 560.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3477, pruned_loss=0.1021, over 2775732.60 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07379, over 46386.10 utterances.], batch size: 560, lr: 2.04e-04
+2022-09-18 23:57:23,184 INFO [train.py:885] (0/2) Epoch 23, batch 7900, loss[loss=0.346, simple_loss=0.435, pruned_loss=0.1285, over 13627.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08106, over 477.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3492, pruned_loss=0.1033, over 2775223.37 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07604, over 46659.20 utterances.], batch size: 477, lr: 2.04e-04
+2022-09-18 23:57:52,591 INFO [train.py:885] (0/2) Epoch 23, batch 7950, loss[loss=0.1998, simple_loss=0.2611, pruned_loss=0.06925, over 13506.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08934, over 50.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3489, pruned_loss=0.1031, over 2773581.60 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07616, over 46812.13 utterances.], batch size: 50, lr: 2.04e-04
+2022-09-18 23:58:21,885 INFO [train.py:885] (0/2) Epoch 23, batch 8000, loss[loss=0.4062, simple_loss=0.4455, pruned_loss=0.1834, over 14181.00 frames. utt_duration=187 frames, utt_pad_proportion=0.046, over 306.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3485, pruned_loss=0.1033, over 2780844.88 frames. utt_duration=245 frames, utt_pad_proportion=0.07299, over 45680.40 utterances.], batch size: 306, lr: 2.04e-04
+2022-09-18 23:58:51,389 INFO [train.py:885] (0/2) Epoch 23, batch 8050, loss[loss=0.2143, simple_loss=0.3028, pruned_loss=0.06294, over 14269.00 frames. utt_duration=477 frames, utt_pad_proportion=0.04215, over 120.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3516, pruned_loss=0.1045, over 2776647.51 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07529, over 47228.50 utterances.], batch size: 120, lr: 2.04e-04
+2022-09-18 23:59:21,074 INFO [train.py:885] (0/2) Epoch 23, batch 8100, loss[loss=0.2363, simple_loss=0.3187, pruned_loss=0.07692, over 14295.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04239, over 141.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3554, pruned_loss=0.1068, over 2778237.70 frames. utt_duration=228.7 frames, utt_pad_proportion=0.07482, over 48919.28 utterances.], batch size: 141, lr: 2.04e-04
+2022-09-18 23:59:50,398 INFO [train.py:885] (0/2) Epoch 23, batch 8150, loss[loss=0.2443, simple_loss=0.3172, pruned_loss=0.08568, over 14232.00 frames. utt_duration=476 frames, utt_pad_proportion=0.04416, over 120.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3505, pruned_loss=0.1038, over 2780690.06 frames. utt_duration=237 frames, utt_pad_proportion=0.07196, over 47217.73 utterances.], batch size: 120, lr: 2.04e-04
+2022-09-19 00:00:20,621 INFO [train.py:885] (0/2) Epoch 23, batch 8200, loss[loss=0.3566, simple_loss=0.398, pruned_loss=0.1576, over 14319.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04003, over 154.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3545, pruned_loss=0.1064, over 2780182.77 frames. utt_duration=234 frames, utt_pad_proportion=0.07382, over 47824.77 utterances.], batch size: 154, lr: 2.04e-04
+2022-09-19 00:00:49,828 INFO [train.py:885] (0/2) Epoch 23, batch 8250, loss[loss=0.3843, simple_loss=0.4244, pruned_loss=0.1722, over 14241.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04284, over 335.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3589, pruned_loss=0.1081, over 2778126.19 frames. utt_duration=222.9 frames, utt_pad_proportion=0.07619, over 50193.00 utterances.], batch size: 335, lr: 2.03e-04
+2022-09-19 00:01:19,769 INFO [train.py:885] (0/2) Epoch 23, batch 8300, loss[loss=0.1978, simple_loss=0.2735, pruned_loss=0.06102, over 13822.00 frames. utt_duration=802.6 frames, utt_pad_proportion=0.06563, over 69.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.356, pruned_loss=0.1072, over 2774454.09 frames. utt_duration=232 frames, utt_pad_proportion=0.07486, over 48144.96 utterances.], batch size: 69, lr: 2.03e-04
+2022-09-19 00:01:49,387 INFO [train.py:885] (0/2) Epoch 23, batch 8350, loss[loss=0.3268, simple_loss=0.423, pruned_loss=0.1153, over 13658.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.07727, over 561.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3594, pruned_loss=0.1087, over 2776483.81 frames. utt_duration=224.5 frames, utt_pad_proportion=0.07479, over 49787.79 utterances.], batch size: 561, lr: 2.03e-04
+2022-09-19 00:02:18,581 INFO [train.py:885] (0/2) Epoch 23, batch 8400, loss[loss=0.3472, simple_loss=0.4003, pruned_loss=0.1471, over 14302.00 frames. utt_duration=295 frames, utt_pad_proportion=0.039, over 195.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.356, pruned_loss=0.1073, over 2781670.81 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07269, over 47569.91 utterances.], batch size: 195, lr: 2.03e-04
+2022-09-19 00:02:47,667 INFO [train.py:885] (0/2) Epoch 23, batch 8450, loss[loss=0.3915, simple_loss=0.4847, pruned_loss=0.1491, over 13196.00 frames. utt_duration=82.39 frames, utt_pad_proportion=0.1045, over 653.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3521, pruned_loss=0.1051, over 2782330.00 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07166, over 46334.84 utterances.], batch size: 653, lr: 2.03e-04
+2022-09-19 00:03:17,574 INFO [train.py:885] (0/2) Epoch 23, batch 8500, loss[loss=0.2645, simple_loss=0.3542, pruned_loss=0.08736, over 14274.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04057, over 225.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3553, pruned_loss=0.1058, over 2781995.90 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07196, over 48382.98 utterances.], batch size: 225, lr: 2.03e-04
+2022-09-19 00:03:46,750 INFO [train.py:885] (0/2) Epoch 23, batch 8550, loss[loss=0.1569, simple_loss=0.2191, pruned_loss=0.04734, over 12214.00 frames. utt_duration=2037 frames, utt_pad_proportion=0.1782, over 24.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3518, pruned_loss=0.1044, over 2782866.86 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07042, over 46902.43 utterances.], batch size: 24, lr: 2.03e-04
+2022-09-19 00:04:16,552 INFO [train.py:885] (0/2) Epoch 23, batch 8600, loss[loss=0.3462, simple_loss=0.4057, pruned_loss=0.1434, over 14235.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04305, over 306.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3487, pruned_loss=0.103, over 2785310.89 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06877, over 45507.89 utterances.], batch size: 306, lr: 2.03e-04
+2022-09-19 00:04:45,897 INFO [train.py:885] (0/2) Epoch 23, batch 8650, loss[loss=0.1675, simple_loss=0.239, pruned_loss=0.04803, over 13333.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.1048, over 33.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3467, pruned_loss=0.1023, over 2786624.03 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06642, over 43855.61 utterances.], batch size: 33, lr: 2.03e-04
+2022-09-19 00:05:15,557 INFO [train.py:885] (0/2) Epoch 23, batch 8700, loss[loss=0.3629, simple_loss=0.4592, pruned_loss=0.1333, over 13073.00 frames. utt_duration=81.68 frames, utt_pad_proportion=0.1122, over 653.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3462, pruned_loss=0.1013, over 2787557.91 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06589, over 44132.33 utterances.], batch size: 653, lr: 2.03e-04
+2022-09-19 00:05:45,300 INFO [train.py:885] (0/2) Epoch 23, batch 8750, loss[loss=0.3317, simple_loss=0.3853, pruned_loss=0.1391, over 14347.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03593, over 195.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3469, pruned_loss=0.1019, over 2786265.80 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06661, over 44358.23 utterances.], batch size: 195, lr: 2.03e-04
+2022-09-19 00:06:14,375 INFO [train.py:885] (0/2) Epoch 23, batch 8800, loss[loss=0.234, simple_loss=0.3061, pruned_loss=0.08096, over 14065.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05482, over 98.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3449, pruned_loss=0.1018, over 2786833.89 frames. utt_duration=263.6 frames, utt_pad_proportion=0.06586, over 42521.28 utterances.], batch size: 98, lr: 2.03e-04
+2022-09-19 00:06:44,471 INFO [train.py:885] (0/2) Epoch 23, batch 8850, loss[loss=0.264, simple_loss=0.344, pruned_loss=0.09203, over 14279.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03952, over 180.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.347, pruned_loss=0.1022, over 2781808.43 frames. utt_duration=254.1 frames, utt_pad_proportion=0.0692, over 44054.59 utterances.], batch size: 180, lr: 2.03e-04
+2022-09-19 00:07:13,523 INFO [train.py:885] (0/2) Epoch 23, batch 8900, loss[loss=0.2366, simple_loss=0.2994, pruned_loss=0.0869, over 14090.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.05465, over 98.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3481, pruned_loss=0.1031, over 2784323.83 frames. utt_duration=253 frames, utt_pad_proportion=0.06951, over 44288.03 utterances.], batch size: 98, lr: 2.03e-04
+2022-09-19 00:07:43,015 INFO [train.py:885] (0/2) Epoch 23, batch 8950, loss[loss=0.322, simple_loss=0.4124, pruned_loss=0.1158, over 13728.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07398, over 411.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3485, pruned_loss=0.1035, over 2785926.83 frames. utt_duration=251 frames, utt_pad_proportion=0.06976, over 44658.42 utterances.], batch size: 411, lr: 2.03e-04
+2022-09-19 00:08:13,279 INFO [train.py:885] (0/2) Epoch 23, batch 9000, loss[loss=0.3333, simple_loss=0.4205, pruned_loss=0.1231, over 13796.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.0726, over 412.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3531, pruned_loss=0.1053, over 2782450.35 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07298, over 47181.35 utterances.], batch size: 412, lr: 2.03e-04
+2022-09-19 00:08:13,281 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 00:08:17,983 INFO [train.py:914] (0/2) Epoch 23, validation: loss=0.1906, simple_loss=0.2725, pruned_loss=0.05437, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 00:08:47,432 INFO [train.py:885] (0/2) Epoch 23, batch 9050, loss[loss=0.6266, simple_loss=0.6775, pruned_loss=0.2878, over 12521.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1451, over 811.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.356, pruned_loss=0.1057, over 2778345.80 frames. utt_duration=228.8 frames, utt_pad_proportion=0.07546, over 48879.45 utterances.], batch size: 811, lr: 2.03e-04
+2022-09-19 00:09:16,619 INFO [train.py:885] (0/2) Epoch 23, batch 9100, loss[loss=0.3938, simple_loss=0.4416, pruned_loss=0.173, over 14285.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03975, over 225.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3527, pruned_loss=0.1045, over 2776306.30 frames. utt_duration=236 frames, utt_pad_proportion=0.07477, over 47354.63 utterances.], batch size: 225, lr: 2.03e-04
+2022-09-19 00:09:46,275 INFO [train.py:885] (0/2) Epoch 23, batch 9150, loss[loss=0.2739, simple_loss=0.3477, pruned_loss=0.1, over 14282.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.04302, over 141.00 utterances.], tot_loss[loss=0.28, simple_loss=0.352, pruned_loss=0.104, over 2778561.54 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07385, over 47023.22 utterances.], batch size: 141, lr: 2.03e-04
+2022-09-19 00:10:15,720 INFO [train.py:885] (0/2) Epoch 23, batch 9200, loss[loss=0.1905, simple_loss=0.2707, pruned_loss=0.05515, over 13519.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.09068, over 50.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3509, pruned_loss=0.1037, over 2780799.89 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07181, over 46274.13 utterances.], batch size: 50, lr: 2.03e-04
+2022-09-19 00:10:45,403 INFO [train.py:885] (0/2) Epoch 23, batch 9250, loss[loss=0.3852, simple_loss=0.4346, pruned_loss=0.1679, over 14278.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04022, over 335.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3532, pruned_loss=0.105, over 2779942.24 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07364, over 47404.04 utterances.], batch size: 335, lr: 2.03e-04
+2022-09-19 00:11:14,723 INFO [train.py:885] (0/2) Epoch 23, batch 9300, loss[loss=0.2352, simple_loss=0.3158, pruned_loss=0.07728, over 14330.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03819, over 130.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3472, pruned_loss=0.1022, over 2778361.63 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07314, over 44964.13 utterances.], batch size: 130, lr: 2.03e-04
+2022-09-19 00:11:44,701 INFO [train.py:885] (0/2) Epoch 23, batch 9350, loss[loss=0.283, simple_loss=0.3826, pruned_loss=0.09173, over 13776.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07091, over 411.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3502, pruned_loss=0.1039, over 2781315.93 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07168, over 45755.36 utterances.], batch size: 411, lr: 2.03e-04
+2022-09-19 00:12:14,003 INFO [train.py:885] (0/2) Epoch 23, batch 9400, loss[loss=0.1796, simple_loss=0.2558, pruned_loss=0.05175, over 13784.00 frames. utt_duration=920.3 frames, utt_pad_proportion=0.07511, over 60.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3467, pruned_loss=0.1023, over 2781772.36 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06831, over 44274.08 utterances.], batch size: 60, lr: 2.03e-04
+2022-09-19 00:12:43,269 INFO [train.py:885] (0/2) Epoch 23, batch 9450, loss[loss=0.3513, simple_loss=0.4148, pruned_loss=0.1439, over 14210.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04453, over 335.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3468, pruned_loss=0.102, over 2780165.69 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06938, over 44945.71 utterances.], batch size: 335, lr: 2.03e-04
+2022-09-19 00:13:12,967 INFO [train.py:885] (0/2) Epoch 23, batch 9500, loss[loss=0.5855, simple_loss=0.6538, pruned_loss=0.2586, over 12457.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1479, over 810.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3464, pruned_loss=0.1007, over 2778118.33 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07133, over 45581.29 utterances.], batch size: 810, lr: 2.03e-04
+2022-09-19 00:13:42,728 INFO [train.py:885] (0/2) Epoch 23, batch 9550, loss[loss=0.3427, simple_loss=0.4017, pruned_loss=0.1418, over 14338.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03446, over 244.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3495, pruned_loss=0.1026, over 2776135.42 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0742, over 46673.33 utterances.], batch size: 244, lr: 2.03e-04
+2022-09-19 00:14:13,043 INFO [train.py:885] (0/2) Epoch 23, batch 9600, loss[loss=0.2932, simple_loss=0.3586, pruned_loss=0.1139, over 14318.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04008, over 154.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3503, pruned_loss=0.1025, over 2773672.00 frames. utt_duration=235 frames, utt_pad_proportion=0.07553, over 47501.20 utterances.], batch size: 154, lr: 2.03e-04
+2022-09-19 00:14:42,543 INFO [train.py:885] (0/2) Epoch 23, batch 9650, loss[loss=0.3059, simple_loss=0.3794, pruned_loss=0.1162, over 14393.00 frames. utt_duration=275.5 frames, utt_pad_proportion=0.03322, over 210.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3479, pruned_loss=0.1015, over 2775653.16 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07387, over 46023.90 utterances.], batch size: 210, lr: 2.03e-04
+2022-09-19 00:15:12,261 INFO [train.py:885] (0/2) Epoch 23, batch 9700, loss[loss=0.2956, simple_loss=0.3695, pruned_loss=0.1108, over 14317.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03925, over 262.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3506, pruned_loss=0.1034, over 2778361.31 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07235, over 46734.52 utterances.], batch size: 262, lr: 2.03e-04
+2022-09-19 00:15:42,041 INFO [train.py:885] (0/2) Epoch 23, batch 9750, loss[loss=0.3969, simple_loss=0.4594, pruned_loss=0.1671, over 13996.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05643, over 365.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3498, pruned_loss=0.1036, over 2780949.85 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07048, over 46100.18 utterances.], batch size: 365, lr: 2.03e-04
+2022-09-19 00:16:10,754 INFO [train.py:885] (0/2) Epoch 23, batch 9800, loss[loss=0.1861, simple_loss=0.2634, pruned_loss=0.05436, over 14149.00 frames. utt_duration=810 frames, utt_pad_proportion=0.0537, over 70.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3479, pruned_loss=0.1029, over 2781559.26 frames. utt_duration=246 frames, utt_pad_proportion=0.07026, over 45493.21 utterances.], batch size: 70, lr: 2.03e-04
+2022-09-19 00:16:40,479 INFO [train.py:885] (0/2) Epoch 23, batch 9850, loss[loss=0.1992, simple_loss=0.2675, pruned_loss=0.06548, over 14104.00 frames. utt_duration=635.4 frames, utt_pad_proportion=0.05303, over 89.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3467, pruned_loss=0.1028, over 2782059.92 frames. utt_duration=250 frames, utt_pad_proportion=0.07081, over 44781.76 utterances.], batch size: 89, lr: 2.03e-04
+2022-09-19 00:17:10,049 INFO [train.py:885] (0/2) Epoch 23, batch 9900, loss[loss=0.1521, simple_loss=0.2079, pruned_loss=0.04812, over 13514.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.0879, over 50.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3499, pruned_loss=0.1042, over 2781700.43 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07261, over 46108.05 utterances.], batch size: 50, lr: 2.03e-04
+2022-09-19 00:17:39,943 INFO [train.py:885] (0/2) Epoch 23, batch 9950, loss[loss=0.2113, simple_loss=0.2889, pruned_loss=0.06683, over 14139.00 frames. utt_duration=636.9 frames, utt_pad_proportion=0.05082, over 89.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3484, pruned_loss=0.1031, over 2782009.15 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07136, over 45240.45 utterances.], batch size: 89, lr: 2.03e-04
+2022-09-19 00:18:09,294 INFO [train.py:885] (0/2) Epoch 23, batch 10000, loss[loss=0.3634, simple_loss=0.438, pruned_loss=0.1444, over 13793.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06988, over 411.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3474, pruned_loss=0.1031, over 2780817.32 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07027, over 44356.38 utterances.], batch size: 411, lr: 2.03e-04
+2022-09-19 00:18:38,516 INFO [train.py:885] (0/2) Epoch 23, batch 10050, loss[loss=0.3044, simple_loss=0.3845, pruned_loss=0.1122, over 13998.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05563, over 365.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3476, pruned_loss=0.1026, over 2779738.68 frames. utt_duration=248.5 frames, utt_pad_proportion=0.0712, over 45005.30 utterances.], batch size: 365, lr: 2.03e-04
+2022-09-19 00:19:08,284 INFO [train.py:885] (0/2) Epoch 23, batch 10100, loss[loss=0.3313, simple_loss=0.4143, pruned_loss=0.1242, over 13770.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07126, over 411.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3499, pruned_loss=0.1038, over 2776917.57 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07263, over 45505.47 utterances.], batch size: 411, lr: 2.03e-04
+2022-09-19 00:19:37,621 INFO [train.py:885] (0/2) Epoch 23, batch 10150, loss[loss=0.2009, simple_loss=0.2733, pruned_loss=0.0642, over 14020.00 frames. utt_duration=711.4 frames, utt_pad_proportion=0.05905, over 79.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3481, pruned_loss=0.1029, over 2776419.24 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07211, over 44853.23 utterances.], batch size: 79, lr: 2.03e-04
+2022-09-19 00:20:06,950 INFO [train.py:885] (0/2) Epoch 23, batch 10200, loss[loss=0.2935, simple_loss=0.3516, pruned_loss=0.1177, over 14350.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03866, over 167.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3478, pruned_loss=0.103, over 2780528.72 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07114, over 43990.19 utterances.], batch size: 167, lr: 2.03e-04
+2022-09-19 00:20:36,422 INFO [train.py:885] (0/2) Epoch 23, batch 10250, loss[loss=0.3185, simple_loss=0.3841, pruned_loss=0.1264, over 14361.00 frames. utt_duration=204.4 frames, utt_pad_proportion=0.03597, over 283.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3501, pruned_loss=0.1037, over 2778438.02 frames. utt_duration=246.7 frames, utt_pad_proportion=0.0718, over 45316.56 utterances.], batch size: 283, lr: 2.03e-04
+2022-09-19 00:21:06,853 INFO [train.py:885] (0/2) Epoch 23, batch 10300, loss[loss=0.2698, simple_loss=0.3589, pruned_loss=0.09036, over 14385.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03595, over 196.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3527, pruned_loss=0.1042, over 2780118.44 frames. utt_duration=238 frames, utt_pad_proportion=0.07405, over 47015.21 utterances.], batch size: 196, lr: 2.03e-04
+2022-09-19 00:21:36,235 INFO [train.py:885] (0/2) Epoch 23, batch 10350, loss[loss=0.3452, simple_loss=0.3996, pruned_loss=0.1454, over 14317.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04088, over 167.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3551, pruned_loss=0.1058, over 2780305.32 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07355, over 47848.93 utterances.], batch size: 167, lr: 2.03e-04
+2022-09-19 00:21:42,233 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-288000.pt
+2022-09-19 00:22:06,267 INFO [train.py:885] (0/2) Epoch 23, batch 10400, loss[loss=0.304, simple_loss=0.3806, pruned_loss=0.1136, over 14335.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03729, over 210.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3541, pruned_loss=0.1053, over 2787346.14 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07019, over 47207.49 utterances.], batch size: 210, lr: 2.03e-04
+2022-09-19 00:22:35,650 INFO [train.py:885] (0/2) Epoch 23, batch 10450, loss[loss=0.2388, simple_loss=0.3043, pruned_loss=0.08666, over 14042.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.0577, over 79.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3543, pruned_loss=0.1059, over 2784855.12 frames. utt_duration=237.6 frames, utt_pad_proportion=0.0723, over 47185.11 utterances.], batch size: 79, lr: 2.03e-04
+2022-09-19 00:23:12,657 INFO [train.py:885] (0/2) Epoch 23, batch 10500, loss[loss=0.2497, simple_loss=0.3256, pruned_loss=0.08695, over 14324.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03938, over 154.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.35, pruned_loss=0.1032, over 2782661.16 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07035, over 46502.08 utterances.], batch size: 154, lr: 2.03e-04
+2022-09-19 00:23:41,727 INFO [train.py:885] (0/2) Epoch 23, batch 10550, loss[loss=0.3026, simple_loss=0.3694, pruned_loss=0.1179, over 14334.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.03998, over 167.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3482, pruned_loss=0.1024, over 2783141.34 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06865, over 45425.52 utterances.], batch size: 167, lr: 2.03e-04
+2022-09-19 00:24:11,724 INFO [train.py:885] (0/2) Epoch 23, batch 10600, loss[loss=0.2149, simple_loss=0.2875, pruned_loss=0.07117, over 14031.00 frames. utt_duration=574 frames, utt_pad_proportion=0.05895, over 98.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3489, pruned_loss=0.1023, over 2784950.28 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06847, over 45817.68 utterances.], batch size: 98, lr: 2.03e-04
+2022-09-19 00:24:41,098 INFO [train.py:885] (0/2) Epoch 23, batch 10650, loss[loss=0.2123, simple_loss=0.2835, pruned_loss=0.07053, over 13948.00 frames. utt_duration=707.6 frames, utt_pad_proportion=0.06398, over 79.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3477, pruned_loss=0.1013, over 2786685.59 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06916, over 45100.95 utterances.], batch size: 79, lr: 2.03e-04
+2022-09-19 00:25:10,683 INFO [train.py:885] (0/2) Epoch 23, batch 10700, loss[loss=0.313, simple_loss=0.3733, pruned_loss=0.1264, over 14262.00 frames. utt_duration=219.2 frames, utt_pad_proportion=0.0427, over 262.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3503, pruned_loss=0.1031, over 2785074.60 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07159, over 46162.46 utterances.], batch size: 262, lr: 2.03e-04
+2022-09-19 00:25:40,188 INFO [train.py:885] (0/2) Epoch 23, batch 10750, loss[loss=0.5832, simple_loss=0.6433, pruned_loss=0.2616, over 12398.00 frames. utt_duration=62.77 frames, utt_pad_proportion=0.1518, over 811.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3528, pruned_loss=0.1041, over 2783628.64 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07412, over 47525.38 utterances.], batch size: 811, lr: 2.03e-04
+2022-09-19 00:26:10,370 INFO [train.py:885] (0/2) Epoch 23, batch 10800, loss[loss=0.3613, simple_loss=0.4574, pruned_loss=0.1326, over 13203.00 frames. utt_duration=82.41 frames, utt_pad_proportion=0.1043, over 653.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3531, pruned_loss=0.1041, over 2786157.04 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07244, over 47467.88 utterances.], batch size: 653, lr: 2.03e-04
+2022-09-19 00:26:45,667 INFO [train.py:885] (0/2) Epoch 23, batch 10850, loss[loss=0.2073, simple_loss=0.2743, pruned_loss=0.07016, over 13859.00 frames. utt_duration=804.9 frames, utt_pad_proportion=0.06295, over 69.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3542, pruned_loss=0.1047, over 2784817.52 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07225, over 48260.37 utterances.], batch size: 69, lr: 2.03e-04
+2022-09-19 00:27:15,397 INFO [train.py:885] (0/2) Epoch 23, batch 10900, loss[loss=0.4091, simple_loss=0.4535, pruned_loss=0.1824, over 14016.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05538, over 365.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3508, pruned_loss=0.1023, over 2782142.37 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07129, over 47702.14 utterances.], batch size: 365, lr: 2.03e-04
+2022-09-19 00:27:45,387 INFO [train.py:885] (0/2) Epoch 23, batch 10950, loss[loss=0.1605, simple_loss=0.2275, pruned_loss=0.04669, over 13276.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.1076, over 33.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3526, pruned_loss=0.1037, over 2785452.74 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07022, over 48297.01 utterances.], batch size: 33, lr: 2.03e-04
+2022-09-19 00:28:15,254 INFO [train.py:885] (0/2) Epoch 23, batch 11000, loss[loss=0.2694, simple_loss=0.3524, pruned_loss=0.09325, over 14370.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03282, over 244.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3535, pruned_loss=0.1042, over 2777494.37 frames. utt_duration=227.6 frames, utt_pad_proportion=0.07317, over 49130.59 utterances.], batch size: 244, lr: 2.03e-04
+2022-09-19 00:28:44,392 INFO [train.py:885] (0/2) Epoch 23, batch 11050, loss[loss=0.4183, simple_loss=0.4819, pruned_loss=0.1773, over 13780.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07116, over 411.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3525, pruned_loss=0.1031, over 2775638.70 frames. utt_duration=229.5 frames, utt_pad_proportion=0.07305, over 48692.71 utterances.], batch size: 411, lr: 2.03e-04
+2022-09-19 00:29:13,694 INFO [train.py:885] (0/2) Epoch 23, batch 11100, loss[loss=0.2317, simple_loss=0.288, pruned_loss=0.08765, over 14001.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.06034, over 79.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3521, pruned_loss=0.1028, over 2777885.07 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07311, over 48702.90 utterances.], batch size: 79, lr: 2.02e-04
+2022-09-19 00:29:43,513 INFO [train.py:885] (0/2) Epoch 23, batch 11150, loss[loss=0.1806, simple_loss=0.2454, pruned_loss=0.05791, over 13876.00 frames. utt_duration=926.6 frames, utt_pad_proportion=0.06966, over 60.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3544, pruned_loss=0.1043, over 2780332.25 frames. utt_duration=228.3 frames, utt_pad_proportion=0.07414, over 49022.43 utterances.], batch size: 60, lr: 2.02e-04
+2022-09-19 00:30:12,669 INFO [train.py:885] (0/2) Epoch 23, batch 11200, loss[loss=0.3045, simple_loss=0.3783, pruned_loss=0.1153, over 14335.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03739, over 210.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3498, pruned_loss=0.1022, over 2781047.64 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07145, over 46922.84 utterances.], batch size: 210, lr: 2.02e-04
+2022-09-19 00:30:42,167 INFO [train.py:885] (0/2) Epoch 23, batch 11250, loss[loss=0.2887, simple_loss=0.3661, pruned_loss=0.1056, over 14320.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03839, over 283.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3467, pruned_loss=0.1006, over 2780225.90 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06889, over 45510.76 utterances.], batch size: 283, lr: 2.02e-04
+2022-09-19 00:31:11,862 INFO [train.py:885] (0/2) Epoch 23, batch 11300, loss[loss=0.2212, simple_loss=0.2917, pruned_loss=0.07532, over 14015.00 frames. utt_duration=711.1 frames, utt_pad_proportion=0.05814, over 79.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3458, pruned_loss=0.101, over 2783851.58 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06737, over 43855.57 utterances.], batch size: 79, lr: 2.02e-04
+2022-09-19 00:31:41,792 INFO [train.py:885] (0/2) Epoch 23, batch 11350, loss[loss=0.5053, simple_loss=0.5939, pruned_loss=0.2084, over 12510.00 frames. utt_duration=63.37 frames, utt_pad_proportion=0.1436, over 810.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3458, pruned_loss=0.1011, over 2782071.95 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06891, over 44221.59 utterances.], batch size: 810, lr: 2.02e-04
+2022-09-19 00:32:11,075 INFO [train.py:885] (0/2) Epoch 23, batch 11400, loss[loss=0.3383, simple_loss=0.3924, pruned_loss=0.1421, over 14368.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03257, over 244.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3439, pruned_loss=0.1001, over 2778698.74 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06847, over 43357.41 utterances.], batch size: 244, lr: 2.02e-04
+2022-09-19 00:32:40,995 INFO [train.py:885] (0/2) Epoch 23, batch 11450, loss[loss=0.4891, simple_loss=0.585, pruned_loss=0.1966, over 12566.00 frames. utt_duration=63.67 frames, utt_pad_proportion=0.1396, over 810.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3502, pruned_loss=0.104, over 2780701.80 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07017, over 45163.63 utterances.], batch size: 810, lr: 2.02e-04
+2022-09-19 00:33:09,891 INFO [train.py:885] (0/2) Epoch 23, batch 11500, loss[loss=0.2068, simple_loss=0.2652, pruned_loss=0.07419, over 13745.00 frames. utt_duration=917.7 frames, utt_pad_proportion=0.07211, over 60.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3491, pruned_loss=0.1039, over 2781667.33 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06939, over 44632.79 utterances.], batch size: 60, lr: 2.02e-04
+2022-09-19 00:33:39,784 INFO [train.py:885] (0/2) Epoch 23, batch 11550, loss[loss=0.3602, simple_loss=0.4134, pruned_loss=0.1535, over 14360.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03669, over 244.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3451, pruned_loss=0.1016, over 2782259.86 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06882, over 43318.06 utterances.], batch size: 244, lr: 2.02e-04
+2022-09-19 00:34:09,626 INFO [train.py:885] (0/2) Epoch 23, batch 11600, loss[loss=0.1783, simple_loss=0.2417, pruned_loss=0.05743, over 13457.00 frames. utt_duration=1283 frames, utt_pad_proportion=0.09673, over 42.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3447, pruned_loss=0.1007, over 2779228.76 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06988, over 44282.04 utterances.], batch size: 42, lr: 2.02e-04
+2022-09-19 00:34:39,551 INFO [train.py:885] (0/2) Epoch 23, batch 11650, loss[loss=0.2506, simple_loss=0.337, pruned_loss=0.08207, over 14337.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03426, over 244.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3458, pruned_loss=0.1014, over 2783738.50 frames. utt_duration=254.1 frames, utt_pad_proportion=0.0678, over 44074.86 utterances.], batch size: 244, lr: 2.02e-04
+2022-09-19 00:35:08,985 INFO [train.py:885] (0/2) Epoch 23, batch 11700, loss[loss=0.4319, simple_loss=0.5126, pruned_loss=0.1756, over 13158.00 frames. utt_duration=82.08 frames, utt_pad_proportion=0.1078, over 653.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3466, pruned_loss=0.1014, over 2786030.71 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06781, over 44549.71 utterances.], batch size: 653, lr: 2.02e-04
+2022-09-19 00:35:38,711 INFO [train.py:885] (0/2) Epoch 23, batch 11750, loss[loss=0.256, simple_loss=0.3414, pruned_loss=0.08534, over 14356.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03762, over 244.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3478, pruned_loss=0.1018, over 2782966.68 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06926, over 45513.71 utterances.], batch size: 244, lr: 2.02e-04
+2022-09-19 00:36:07,532 INFO [train.py:885] (0/2) Epoch 23, batch 11800, loss[loss=0.3607, simple_loss=0.4104, pruned_loss=0.1555, over 14225.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04399, over 335.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3468, pruned_loss=0.1016, over 2785384.95 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06789, over 44106.27 utterances.], batch size: 335, lr: 2.02e-04
+2022-09-19 00:36:37,191 INFO [train.py:885] (0/2) Epoch 23, batch 11850, loss[loss=0.2972, simple_loss=0.3765, pruned_loss=0.109, over 14244.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04209, over 225.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3485, pruned_loss=0.1017, over 2782536.76 frames. utt_duration=246 frames, utt_pad_proportion=0.07015, over 45521.05 utterances.], batch size: 225, lr: 2.02e-04
+2022-09-19 00:37:06,255 INFO [train.py:885] (0/2) Epoch 23, batch 11900, loss[loss=0.3063, simple_loss=0.3693, pruned_loss=0.1217, over 14304.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.0382, over 180.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3487, pruned_loss=0.1017, over 2782220.56 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07041, over 45153.90 utterances.], batch size: 180, lr: 2.02e-04
+2022-09-19 00:37:35,428 INFO [train.py:885] (0/2) Epoch 23, batch 11950, loss[loss=0.1944, simple_loss=0.2725, pruned_loss=0.05815, over 14260.00 frames. utt_duration=642.3 frames, utt_pad_proportion=0.04416, over 89.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3506, pruned_loss=0.1031, over 2781987.53 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07112, over 45910.92 utterances.], batch size: 89, lr: 2.02e-04
+2022-09-19 00:38:05,626 INFO [train.py:885] (0/2) Epoch 23, batch 12000, loss[loss=0.1799, simple_loss=0.2445, pruned_loss=0.05759, over 13588.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.0914, over 42.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3525, pruned_loss=0.1037, over 2779268.47 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07321, over 47342.53 utterances.], batch size: 42, lr: 2.02e-04
+2022-09-19 00:38:05,627 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 00:38:10,303 INFO [train.py:914] (0/2) Epoch 23, validation: loss=0.1895, simple_loss=0.271, pruned_loss=0.05406, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 00:38:39,935 INFO [train.py:885] (0/2) Epoch 23, batch 12050, loss[loss=0.2374, simple_loss=0.2972, pruned_loss=0.0888, over 13724.00 frames. utt_duration=796.9 frames, utt_pad_proportion=0.07231, over 69.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3485, pruned_loss=0.1019, over 2779553.82 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07226, over 45260.92 utterances.], batch size: 69, lr: 2.02e-04
+2022-09-19 00:39:09,232 INFO [train.py:885] (0/2) Epoch 23, batch 12100, loss[loss=0.2867, simple_loss=0.3541, pruned_loss=0.1097, over 14320.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03763, over 180.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3496, pruned_loss=0.1025, over 2782254.14 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07227, over 45756.71 utterances.], batch size: 180, lr: 2.02e-04
+2022-09-19 00:39:39,465 INFO [train.py:885] (0/2) Epoch 23, batch 12150, loss[loss=0.2476, simple_loss=0.3105, pruned_loss=0.09238, over 12351.00 frames. utt_duration=2060 frames, utt_pad_proportion=0.1595, over 24.00 utterances.], tot_loss[loss=0.278, simple_loss=0.35, pruned_loss=0.103, over 2775220.35 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07409, over 46293.77 utterances.], batch size: 24, lr: 2.02e-04
+2022-09-19 00:40:09,307 INFO [train.py:885] (0/2) Epoch 23, batch 12200, loss[loss=0.3649, simple_loss=0.4144, pruned_loss=0.1577, over 14352.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03647, over 283.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3533, pruned_loss=0.1049, over 2775997.64 frames. utt_duration=234.6 frames, utt_pad_proportion=0.0753, over 47629.04 utterances.], batch size: 283, lr: 2.02e-04
+2022-09-19 00:40:38,426 INFO [train.py:885] (0/2) Epoch 23, batch 12250, loss[loss=0.2707, simple_loss=0.3484, pruned_loss=0.09645, over 14373.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03449, over 195.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3531, pruned_loss=0.1051, over 2782110.98 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07274, over 46485.59 utterances.], batch size: 195, lr: 2.02e-04
+2022-09-19 00:41:07,637 INFO [train.py:885] (0/2) Epoch 23, batch 12300, loss[loss=0.2142, simple_loss=0.2723, pruned_loss=0.07802, over 13610.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.07692, over 50.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3541, pruned_loss=0.106, over 2782255.47 frames. utt_duration=239 frames, utt_pad_proportion=0.07307, over 46849.67 utterances.], batch size: 50, lr: 2.02e-04
+2022-09-19 00:41:37,369 INFO [train.py:885] (0/2) Epoch 23, batch 12350, loss[loss=0.3834, simple_loss=0.4239, pruned_loss=0.1714, over 14267.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04117, over 335.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3525, pruned_loss=0.1048, over 2780637.78 frames. utt_duration=238 frames, utt_pad_proportion=0.07438, over 47017.42 utterances.], batch size: 335, lr: 2.02e-04
+2022-09-19 00:42:06,785 INFO [train.py:885] (0/2) Epoch 23, batch 12400, loss[loss=0.2933, simple_loss=0.3654, pruned_loss=0.1106, over 14324.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03785, over 195.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3507, pruned_loss=0.1044, over 2781578.03 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07309, over 45513.97 utterances.], batch size: 195, lr: 2.02e-04
+2022-09-19 00:42:35,731 INFO [train.py:885] (0/2) Epoch 23, batch 12450, loss[loss=0.2491, simple_loss=0.3279, pruned_loss=0.08516, over 14230.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04686, over 141.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3512, pruned_loss=0.1046, over 2782158.36 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07324, over 45858.35 utterances.], batch size: 141, lr: 2.02e-04
+2022-09-19 00:43:05,777 INFO [train.py:885] (0/2) Epoch 23, batch 12500, loss[loss=0.253, simple_loss=0.3228, pruned_loss=0.09158, over 14195.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04429, over 89.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3503, pruned_loss=0.1036, over 2784041.61 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07227, over 45656.71 utterances.], batch size: 89, lr: 2.02e-04
+2022-09-19 00:43:34,879 INFO [train.py:885] (0/2) Epoch 23, batch 12550, loss[loss=0.2893, simple_loss=0.3656, pruned_loss=0.1065, over 14376.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03275, over 244.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3513, pruned_loss=0.1049, over 2784209.23 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0717, over 45384.07 utterances.], batch size: 244, lr: 2.02e-04
+2022-09-19 00:44:02,474 INFO [train.py:885] (0/2) Epoch 23, batch 12600, loss[loss=0.1982, simple_loss=0.2652, pruned_loss=0.06556, over 14082.00 frames. utt_duration=714.6 frames, utt_pad_proportion=0.05221, over 79.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3506, pruned_loss=0.1039, over 2784574.49 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07178, over 45575.08 utterances.], batch size: 79, lr: 2.02e-04
+2022-09-19 00:44:13,300 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-23.pt
+2022-09-19 00:44:20,419 INFO [train.py:885] (0/2) Epoch 24, batch 0, loss[loss=0.1949, simple_loss=0.2606, pruned_loss=0.06457, over 12768.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.1469, over 25.00 utterances.], tot_loss[loss=0.1949, simple_loss=0.2606, pruned_loss=0.06457, over 12768.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.1469, over 25.00 utterances.], batch size: 25, lr: 1.98e-04
+2022-09-19 00:44:52,885 INFO [train.py:885] (0/2) Epoch 24, batch 50, loss[loss=0.2781, simple_loss=0.3413, pruned_loss=0.1074, over 14320.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.04087, over 141.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3541, pruned_loss=0.1031, over 624892.47 frames. utt_duration=219.9 frames, utt_pad_proportion=0.07646, over 11443.70 utterances.], batch size: 141, lr: 1.98e-04
+2022-09-19 00:45:22,327 INFO [train.py:885] (0/2) Epoch 24, batch 100, loss[loss=0.2964, simple_loss=0.3582, pruned_loss=0.1173, over 14269.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04045, over 180.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3514, pruned_loss=0.1021, over 1105440.08 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07388, over 19021.28 utterances.], batch size: 180, lr: 1.98e-04
+2022-09-19 00:45:51,644 INFO [train.py:885] (0/2) Epoch 24, batch 150, loss[loss=0.4207, simple_loss=0.4996, pruned_loss=0.1709, over 13146.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3553, pruned_loss=0.1036, over 1478383.51 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07356, over 25969.67 utterances.], batch size: 653, lr: 1.98e-04
+2022-09-19 00:46:21,862 INFO [train.py:885] (0/2) Epoch 24, batch 200, loss[loss=0.3427, simple_loss=0.3996, pruned_loss=0.1429, over 14322.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.0401, over 167.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3593, pruned_loss=0.1064, over 1765066.32 frames. utt_duration=220.9 frames, utt_pad_proportion=0.07563, over 32173.96 utterances.], batch size: 167, lr: 1.98e-04
+2022-09-19 00:46:51,076 INFO [train.py:885] (0/2) Epoch 24, batch 250, loss[loss=0.1292, simple_loss=0.1845, pruned_loss=0.03697, over 13105.00 frames. utt_duration=1590 frames, utt_pad_proportion=0.1127, over 33.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3574, pruned_loss=0.1057, over 1988077.33 frames. utt_duration=222 frames, utt_pad_proportion=0.0739, over 36054.75 utterances.], batch size: 33, lr: 1.98e-04
+2022-09-19 00:47:20,672 INFO [train.py:885] (0/2) Epoch 24, batch 300, loss[loss=0.269, simple_loss=0.3474, pruned_loss=0.09535, over 14337.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03647, over 210.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3511, pruned_loss=0.1029, over 2166662.08 frames. utt_duration=240.4 frames, utt_pad_proportion=0.06986, over 36280.50 utterances.], batch size: 210, lr: 1.98e-04
+2022-09-19 00:47:50,260 INFO [train.py:885] (0/2) Epoch 24, batch 350, loss[loss=0.1615, simple_loss=0.2248, pruned_loss=0.04907, over 13726.00 frames. utt_duration=1100 frames, utt_pad_proportion=0.06817, over 50.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3499, pruned_loss=0.1028, over 2302087.38 frames. utt_duration=242.3 frames, utt_pad_proportion=0.0692, over 38234.03 utterances.], batch size: 50, lr: 1.98e-04
+2022-09-19 00:48:19,214 INFO [train.py:885] (0/2) Epoch 24, batch 400, loss[loss=0.2625, simple_loss=0.341, pruned_loss=0.09203, over 14361.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03798, over 167.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3481, pruned_loss=0.1017, over 2408363.40 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06945, over 39533.49 utterances.], batch size: 167, lr: 1.98e-04
+2022-09-19 00:48:48,454 INFO [train.py:885] (0/2) Epoch 24, batch 450, loss[loss=0.2898, simple_loss=0.3694, pruned_loss=0.1051, over 14258.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04122, over 225.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3497, pruned_loss=0.1018, over 2489572.56 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07004, over 41884.88 utterances.], batch size: 225, lr: 1.98e-04
+2022-09-19 00:49:18,258 INFO [train.py:885] (0/2) Epoch 24, batch 500, loss[loss=0.2776, simple_loss=0.3603, pruned_loss=0.09745, over 14354.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03637, over 210.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.349, pruned_loss=0.1024, over 2551651.91 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0709, over 42528.99 utterances.], batch size: 210, lr: 1.98e-04
+2022-09-19 00:49:47,986 INFO [train.py:885] (0/2) Epoch 24, batch 550, loss[loss=0.2166, simple_loss=0.2861, pruned_loss=0.07358, over 14241.00 frames. utt_duration=641.6 frames, utt_pad_proportion=0.04521, over 89.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3524, pruned_loss=0.1042, over 2603871.18 frames. utt_duration=235 frames, utt_pad_proportion=0.07139, over 44592.48 utterances.], batch size: 89, lr: 1.98e-04
+2022-09-19 00:50:17,830 INFO [train.py:885] (0/2) Epoch 24, batch 600, loss[loss=0.2425, simple_loss=0.3228, pruned_loss=0.0811, over 14313.00 frames. utt_duration=370.9 frames, utt_pad_proportion=0.03918, over 155.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3512, pruned_loss=0.1034, over 2641408.00 frames. utt_duration=239 frames, utt_pad_proportion=0.07175, over 44485.02 utterances.], batch size: 155, lr: 1.98e-04
+2022-09-19 00:50:47,832 INFO [train.py:885] (0/2) Epoch 24, batch 650, loss[loss=0.1898, simple_loss=0.2581, pruned_loss=0.06069, over 13120.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1201, over 33.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3497, pruned_loss=0.1026, over 2670327.42 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07188, over 44608.91 utterances.], batch size: 33, lr: 1.98e-04
+2022-09-19 00:51:17,086 INFO [train.py:885] (0/2) Epoch 24, batch 700, loss[loss=0.1846, simple_loss=0.2694, pruned_loss=0.04986, over 14268.00 frames. utt_duration=642.7 frames, utt_pad_proportion=0.04211, over 89.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3511, pruned_loss=0.1037, over 2696245.65 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07288, over 45559.56 utterances.], batch size: 89, lr: 1.98e-04
+2022-09-19 00:51:52,879 INFO [train.py:885] (0/2) Epoch 24, batch 750, loss[loss=0.4093, simple_loss=0.4477, pruned_loss=0.1854, over 14244.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04291, over 335.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3523, pruned_loss=0.1039, over 2717025.42 frames. utt_duration=236 frames, utt_pad_proportion=0.07189, over 46332.68 utterances.], batch size: 335, lr: 1.98e-04
+2022-09-19 00:52:30,380 INFO [train.py:885] (0/2) Epoch 24, batch 800, loss[loss=0.2622, simple_loss=0.3434, pruned_loss=0.09045, over 14346.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03644, over 210.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3495, pruned_loss=0.1026, over 2737405.96 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06979, over 45185.59 utterances.], batch size: 210, lr: 1.98e-04
+2022-09-19 00:52:59,973 INFO [train.py:885] (0/2) Epoch 24, batch 850, loss[loss=0.325, simple_loss=0.3845, pruned_loss=0.1328, over 14314.00 frames. utt_duration=236.2 frames, utt_pad_proportion=0.03603, over 244.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3493, pruned_loss=0.1023, over 2746793.37 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07051, over 45534.39 utterances.], batch size: 244, lr: 1.98e-04
+2022-09-19 00:53:29,062 INFO [train.py:885] (0/2) Epoch 24, batch 900, loss[loss=0.1834, simple_loss=0.2619, pruned_loss=0.05248, over 13641.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08249, over 50.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3488, pruned_loss=0.1019, over 2757773.58 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07092, over 45213.17 utterances.], batch size: 50, lr: 1.98e-04
+2022-09-19 00:53:59,051 INFO [train.py:885] (0/2) Epoch 24, batch 950, loss[loss=0.2537, simple_loss=0.3226, pruned_loss=0.09242, over 14142.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04686, over 109.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3515, pruned_loss=0.1027, over 2754686.75 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07443, over 46801.55 utterances.], batch size: 109, lr: 1.97e-04
+2022-09-19 00:54:28,536 INFO [train.py:885] (0/2) Epoch 24, batch 1000, loss[loss=0.3537, simple_loss=0.4068, pruned_loss=0.1503, over 14231.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04309, over 335.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3499, pruned_loss=0.1015, over 2764012.61 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07142, over 46426.23 utterances.], batch size: 335, lr: 1.97e-04
+2022-09-19 00:54:57,858 INFO [train.py:885] (0/2) Epoch 24, batch 1050, loss[loss=0.2382, simple_loss=0.3161, pruned_loss=0.08012, over 14188.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.0496, over 141.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3454, pruned_loss=0.09929, over 2767201.33 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06983, over 44547.19 utterances.], batch size: 141, lr: 1.97e-04
+2022-09-19 00:55:27,954 INFO [train.py:885] (0/2) Epoch 24, batch 1100, loss[loss=0.3264, simple_loss=0.3886, pruned_loss=0.1321, over 14367.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03515, over 210.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3517, pruned_loss=0.1027, over 2773794.19 frames. utt_duration=240.4 frames, utt_pad_proportion=0.06972, over 46430.65 utterances.], batch size: 210, lr: 1.97e-04
+2022-09-19 00:55:58,117 INFO [train.py:885] (0/2) Epoch 24, batch 1150, loss[loss=0.2824, simple_loss=0.3669, pruned_loss=0.09896, over 14334.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03417, over 195.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3485, pruned_loss=0.1015, over 2769808.43 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07073, over 45481.99 utterances.], batch size: 195, lr: 1.97e-04
+2022-09-19 00:56:26,631 INFO [train.py:885] (0/2) Epoch 24, batch 1200, loss[loss=0.1982, simple_loss=0.2768, pruned_loss=0.05979, over 13920.00 frames. utt_duration=706.1 frames, utt_pad_proportion=0.061, over 79.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.348, pruned_loss=0.1011, over 2774619.35 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07073, over 45034.80 utterances.], batch size: 79, lr: 1.97e-04
+2022-09-19 00:56:56,933 INFO [train.py:885] (0/2) Epoch 24, batch 1250, loss[loss=0.2278, simple_loss=0.3149, pruned_loss=0.07034, over 14272.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.0419, over 120.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3494, pruned_loss=0.1012, over 2776484.53 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07139, over 46291.91 utterances.], batch size: 120, lr: 1.97e-04
+2022-09-19 00:57:26,545 INFO [train.py:885] (0/2) Epoch 24, batch 1300, loss[loss=0.2575, simple_loss=0.3251, pruned_loss=0.09492, over 14315.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.0402, over 154.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3497, pruned_loss=0.102, over 2779601.41 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07045, over 45957.44 utterances.], batch size: 154, lr: 1.97e-04
+2022-09-19 00:57:54,944 INFO [train.py:885] (0/2) Epoch 24, batch 1350, loss[loss=0.307, simple_loss=0.3816, pruned_loss=0.1162, over 14292.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03908, over 225.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3508, pruned_loss=0.1032, over 2781521.71 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07045, over 45710.86 utterances.], batch size: 225, lr: 1.97e-04
+2022-09-19 00:58:24,679 INFO [train.py:885] (0/2) Epoch 24, batch 1400, loss[loss=0.2713, simple_loss=0.3485, pruned_loss=0.09709, over 14274.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.0429, over 154.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3494, pruned_loss=0.103, over 2780028.44 frames. utt_duration=246.5 frames, utt_pad_proportion=0.071, over 45377.76 utterances.], batch size: 154, lr: 1.97e-04
+2022-09-19 00:58:54,000 INFO [train.py:885] (0/2) Epoch 24, batch 1450, loss[loss=0.2258, simple_loss=0.2858, pruned_loss=0.08292, over 14033.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05687, over 98.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.349, pruned_loss=0.1028, over 2781221.52 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06935, over 45234.68 utterances.], batch size: 98, lr: 1.97e-04
+2022-09-19 00:59:23,731 INFO [train.py:885] (0/2) Epoch 24, batch 1500, loss[loss=0.2876, simple_loss=0.359, pruned_loss=0.1081, over 14358.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03704, over 244.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3514, pruned_loss=0.1031, over 2780186.04 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07092, over 47366.50 utterances.], batch size: 244, lr: 1.97e-04
+2022-09-19 00:59:52,996 INFO [train.py:885] (0/2) Epoch 24, batch 1550, loss[loss=0.2708, simple_loss=0.3487, pruned_loss=0.09643, over 14384.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.0316, over 244.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3493, pruned_loss=0.1028, over 2782189.83 frames. utt_duration=244 frames, utt_pad_proportion=0.0694, over 45886.06 utterances.], batch size: 244, lr: 1.97e-04
+2022-09-19 01:00:22,593 INFO [train.py:885] (0/2) Epoch 24, batch 1600, loss[loss=0.2909, simple_loss=0.3585, pruned_loss=0.1117, over 14339.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03654, over 210.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3509, pruned_loss=0.1032, over 2785640.42 frames. utt_duration=241.2 frames, utt_pad_proportion=0.06837, over 46479.56 utterances.], batch size: 210, lr: 1.97e-04
+2022-09-19 01:00:52,316 INFO [train.py:885] (0/2) Epoch 24, batch 1650, loss[loss=0.435, simple_loss=0.5016, pruned_loss=0.1842, over 13741.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07268, over 411.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3531, pruned_loss=0.1046, over 2777569.70 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07061, over 47229.95 utterances.], batch size: 411, lr: 1.97e-04
+2022-09-19 01:01:21,236 INFO [train.py:885] (0/2) Epoch 24, batch 1700, loss[loss=0.4112, simple_loss=0.487, pruned_loss=0.1677, over 13606.00 frames. utt_duration=98.63 frames, utt_pad_proportion=0.07825, over 560.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3557, pruned_loss=0.1061, over 2779626.87 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07103, over 48298.86 utterances.], batch size: 560, lr: 1.97e-04
+2022-09-19 01:01:44,960 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-292000.pt
+2022-09-19 01:01:50,725 INFO [train.py:885] (0/2) Epoch 24, batch 1750, loss[loss=0.2471, simple_loss=0.331, pruned_loss=0.08156, over 14344.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03913, over 167.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3487, pruned_loss=0.1026, over 2780317.46 frames. utt_duration=242.5 frames, utt_pad_proportion=0.06897, over 46146.62 utterances.], batch size: 167, lr: 1.97e-04
+2022-09-19 01:02:21,704 INFO [train.py:885] (0/2) Epoch 24, batch 1800, loss[loss=0.402, simple_loss=0.439, pruned_loss=0.1825, over 14225.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04388, over 335.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3498, pruned_loss=0.1033, over 2776007.09 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07224, over 46467.41 utterances.], batch size: 335, lr: 1.97e-04
+2022-09-19 01:02:51,676 INFO [train.py:885] (0/2) Epoch 24, batch 1850, loss[loss=0.2719, simple_loss=0.3448, pruned_loss=0.09947, over 14308.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03777, over 180.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3484, pruned_loss=0.1034, over 2779587.27 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06944, over 45292.94 utterances.], batch size: 180, lr: 1.97e-04
+2022-09-19 01:03:21,205 INFO [train.py:885] (0/2) Epoch 24, batch 1900, loss[loss=0.2697, simple_loss=0.3495, pruned_loss=0.09493, over 14355.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03327, over 244.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3506, pruned_loss=0.1049, over 2778805.13 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07169, over 46428.58 utterances.], batch size: 244, lr: 1.97e-04
+2022-09-19 01:03:50,499 INFO [train.py:885] (0/2) Epoch 24, batch 1950, loss[loss=0.3065, simple_loss=0.3702, pruned_loss=0.1214, over 14307.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03972, over 262.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3483, pruned_loss=0.1031, over 2779672.07 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07069, over 45679.11 utterances.], batch size: 262, lr: 1.97e-04
+2022-09-19 01:04:19,830 INFO [train.py:885] (0/2) Epoch 24, batch 2000, loss[loss=0.3253, simple_loss=0.4232, pruned_loss=0.1137, over 13627.00 frames. utt_duration=98.77 frames, utt_pad_proportion=0.07692, over 560.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3466, pruned_loss=0.1018, over 2783288.78 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06998, over 44767.09 utterances.], batch size: 560, lr: 1.97e-04
+2022-09-19 01:04:49,079 INFO [train.py:885] (0/2) Epoch 24, batch 2050, loss[loss=0.2686, simple_loss=0.3503, pruned_loss=0.09349, over 14344.00 frames. utt_duration=320.2 frames, utt_pad_proportion=0.03556, over 180.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3466, pruned_loss=0.1016, over 2779111.43 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07153, over 45474.30 utterances.], batch size: 180, lr: 1.97e-04
+2022-09-19 01:05:18,864 INFO [train.py:885] (0/2) Epoch 24, batch 2100, loss[loss=0.5711, simple_loss=0.6465, pruned_loss=0.2479, over 12523.00 frames. utt_duration=63.41 frames, utt_pad_proportion=0.1432, over 810.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.349, pruned_loss=0.1024, over 2774692.36 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07538, over 46814.35 utterances.], batch size: 810, lr: 1.97e-04
+2022-09-19 01:05:48,154 INFO [train.py:885] (0/2) Epoch 24, batch 2150, loss[loss=0.385, simple_loss=0.4499, pruned_loss=0.1601, over 13954.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05874, over 365.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3478, pruned_loss=0.1015, over 2776875.77 frames. utt_duration=242 frames, utt_pad_proportion=0.07328, over 46186.93 utterances.], batch size: 365, lr: 1.97e-04
+2022-09-19 01:06:17,799 INFO [train.py:885] (0/2) Epoch 24, batch 2200, loss[loss=0.2879, simple_loss=0.3574, pruned_loss=0.1092, over 14228.00 frames. utt_duration=317.6 frames, utt_pad_proportion=0.04344, over 180.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3511, pruned_loss=0.1032, over 2778878.86 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07202, over 47150.31 utterances.], batch size: 180, lr: 1.97e-04
+2022-09-19 01:06:46,991 INFO [train.py:885] (0/2) Epoch 24, batch 2250, loss[loss=0.3065, simple_loss=0.3713, pruned_loss=0.1209, over 14291.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04103, over 262.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.352, pruned_loss=0.1037, over 2778965.23 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07253, over 47169.42 utterances.], batch size: 262, lr: 1.97e-04
+2022-09-19 01:07:16,531 INFO [train.py:885] (0/2) Epoch 24, batch 2300, loss[loss=0.1933, simple_loss=0.2554, pruned_loss=0.06563, over 12822.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.1297, over 25.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3501, pruned_loss=0.1032, over 2780830.22 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07138, over 45903.10 utterances.], batch size: 25, lr: 1.97e-04
+2022-09-19 01:07:45,836 INFO [train.py:885] (0/2) Epoch 24, batch 2350, loss[loss=0.1989, simple_loss=0.2703, pruned_loss=0.06376, over 14123.00 frames. utt_duration=716.7 frames, utt_pad_proportion=0.05072, over 79.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3445, pruned_loss=0.1002, over 2780427.20 frames. utt_duration=254.5 frames, utt_pad_proportion=0.0706, over 43950.66 utterances.], batch size: 79, lr: 1.97e-04
+2022-09-19 01:08:16,004 INFO [train.py:885] (0/2) Epoch 24, batch 2400, loss[loss=0.2039, simple_loss=0.2687, pruned_loss=0.06953, over 13253.00 frames. utt_duration=2041 frames, utt_pad_proportion=0.1139, over 26.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3484, pruned_loss=0.1014, over 2776218.98 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07393, over 46387.06 utterances.], batch size: 26, lr: 1.97e-04
+2022-09-19 01:08:45,271 INFO [train.py:885] (0/2) Epoch 24, batch 2450, loss[loss=0.2492, simple_loss=0.3277, pruned_loss=0.08539, over 14256.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.0417, over 180.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3476, pruned_loss=0.1009, over 2774961.05 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07325, over 46179.74 utterances.], batch size: 180, lr: 1.97e-04
+2022-09-19 01:09:14,698 INFO [train.py:885] (0/2) Epoch 24, batch 2500, loss[loss=0.1434, simple_loss=0.2016, pruned_loss=0.04261, over 13037.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1217, over 33.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3458, pruned_loss=0.09989, over 2772580.90 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07164, over 45464.08 utterances.], batch size: 33, lr: 1.97e-04
+2022-09-19 01:09:44,944 INFO [train.py:885] (0/2) Epoch 24, batch 2550, loss[loss=0.3144, simple_loss=0.3903, pruned_loss=0.1193, over 14272.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.03725, over 225.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3487, pruned_loss=0.1014, over 2773857.12 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07322, over 46844.04 utterances.], batch size: 225, lr: 1.97e-04
+2022-09-19 01:10:14,531 INFO [train.py:885] (0/2) Epoch 24, batch 2600, loss[loss=0.3714, simple_loss=0.4349, pruned_loss=0.154, over 13953.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05842, over 365.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.346, pruned_loss=0.1003, over 2774680.08 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07132, over 45336.43 utterances.], batch size: 365, lr: 1.97e-04
+2022-09-19 01:10:44,150 INFO [train.py:885] (0/2) Epoch 24, batch 2650, loss[loss=0.2919, simple_loss=0.3579, pruned_loss=0.1129, over 14260.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04113, over 180.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.346, pruned_loss=0.1008, over 2769641.28 frames. utt_duration=246 frames, utt_pad_proportion=0.0738, over 45297.98 utterances.], batch size: 180, lr: 1.97e-04
+2022-09-19 01:11:12,970 INFO [train.py:885] (0/2) Epoch 24, batch 2700, loss[loss=0.3275, simple_loss=0.3927, pruned_loss=0.1312, over 14296.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03967, over 283.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3485, pruned_loss=0.1028, over 2775936.10 frames. utt_duration=245.3 frames, utt_pad_proportion=0.0717, over 45544.36 utterances.], batch size: 283, lr: 1.97e-04
+2022-09-19 01:11:42,638 INFO [train.py:885] (0/2) Epoch 24, batch 2750, loss[loss=0.3249, simple_loss=0.3907, pruned_loss=0.1296, over 14244.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04207, over 225.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3503, pruned_loss=0.1032, over 2778415.24 frames. utt_duration=240.3 frames, utt_pad_proportion=0.06977, over 46531.34 utterances.], batch size: 225, lr: 1.97e-04
+2022-09-19 01:12:11,714 INFO [train.py:885] (0/2) Epoch 24, batch 2800, loss[loss=0.2525, simple_loss=0.3336, pruned_loss=0.08567, over 14280.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.04162, over 130.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3481, pruned_loss=0.1022, over 2778023.51 frames. utt_duration=245.3 frames, utt_pad_proportion=0.0695, over 45565.67 utterances.], batch size: 130, lr: 1.97e-04
+2022-09-19 01:12:41,333 INFO [train.py:885] (0/2) Epoch 24, batch 2850, loss[loss=0.1869, simple_loss=0.2595, pruned_loss=0.05708, over 13493.00 frames. utt_duration=1318 frames, utt_pad_proportion=0.07971, over 41.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3466, pruned_loss=0.1018, over 2779292.68 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06791, over 44327.81 utterances.], batch size: 41, lr: 1.97e-04
+2022-09-19 01:13:11,140 INFO [train.py:885] (0/2) Epoch 24, batch 2900, loss[loss=0.5532, simple_loss=0.6356, pruned_loss=0.2354, over 12511.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.1441, over 810.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3514, pruned_loss=0.1041, over 2773716.72 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07273, over 46791.09 utterances.], batch size: 810, lr: 1.97e-04
+2022-09-19 01:13:40,785 INFO [train.py:885] (0/2) Epoch 24, batch 2950, loss[loss=0.3467, simple_loss=0.406, pruned_loss=0.1437, over 14326.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.0382, over 262.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3475, pruned_loss=0.1033, over 2781152.96 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06898, over 43806.17 utterances.], batch size: 262, lr: 1.97e-04
+2022-09-19 01:14:10,580 INFO [train.py:885] (0/2) Epoch 24, batch 3000, loss[loss=0.2657, simple_loss=0.3505, pruned_loss=0.0905, over 14322.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03853, over 262.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3482, pruned_loss=0.1029, over 2780426.83 frames. utt_duration=252 frames, utt_pad_proportion=0.07032, over 44397.54 utterances.], batch size: 262, lr: 1.97e-04
+2022-09-19 01:14:10,582 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 01:14:15,311 INFO [train.py:914] (0/2) Epoch 24, validation: loss=0.1942, simple_loss=0.277, pruned_loss=0.05573, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 01:14:44,542 INFO [train.py:885] (0/2) Epoch 24, batch 3050, loss[loss=0.3063, simple_loss=0.3719, pruned_loss=0.1203, over 14363.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03336, over 244.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3457, pruned_loss=0.1017, over 2774653.02 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07304, over 44137.60 utterances.], batch size: 244, lr: 1.97e-04
+2022-09-19 01:15:13,668 INFO [train.py:885] (0/2) Epoch 24, batch 3100, loss[loss=0.2897, simple_loss=0.3659, pruned_loss=0.1068, over 14329.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.038, over 283.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3488, pruned_loss=0.1034, over 2777779.92 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07295, over 45144.61 utterances.], batch size: 283, lr: 1.97e-04
+2022-09-19 01:15:42,869 INFO [train.py:885] (0/2) Epoch 24, batch 3150, loss[loss=0.1772, simple_loss=0.2488, pruned_loss=0.05277, over 13792.00 frames. utt_duration=801 frames, utt_pad_proportion=0.0664, over 69.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.345, pruned_loss=0.1013, over 2780623.42 frames. utt_duration=254 frames, utt_pad_proportion=0.07034, over 44041.18 utterances.], batch size: 69, lr: 1.97e-04
+2022-09-19 01:16:13,399 INFO [train.py:885] (0/2) Epoch 24, batch 3200, loss[loss=0.3233, simple_loss=0.3976, pruned_loss=0.1245, over 13947.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05897, over 365.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3456, pruned_loss=0.1024, over 2775628.51 frames. utt_duration=250 frames, utt_pad_proportion=0.07118, over 44666.44 utterances.], batch size: 365, lr: 1.97e-04
+2022-09-19 01:16:42,978 INFO [train.py:885] (0/2) Epoch 24, batch 3250, loss[loss=0.2172, simple_loss=0.2964, pruned_loss=0.06894, over 14111.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05199, over 98.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3436, pruned_loss=0.1006, over 2778080.29 frames. utt_duration=253.6 frames, utt_pad_proportion=0.0698, over 44072.01 utterances.], batch size: 98, lr: 1.97e-04
+2022-09-19 01:17:12,233 INFO [train.py:885] (0/2) Epoch 24, batch 3300, loss[loss=0.2338, simple_loss=0.3202, pruned_loss=0.07371, over 14320.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.0408, over 142.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3471, pruned_loss=0.102, over 2780974.48 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07042, over 45366.44 utterances.], batch size: 142, lr: 1.97e-04
+2022-09-19 01:17:42,153 INFO [train.py:885] (0/2) Epoch 24, batch 3350, loss[loss=0.1492, simple_loss=0.2147, pruned_loss=0.04188, over 13466.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09299, over 50.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3454, pruned_loss=0.1003, over 2778336.25 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07027, over 44737.14 utterances.], batch size: 50, lr: 1.97e-04
+2022-09-19 01:18:11,369 INFO [train.py:885] (0/2) Epoch 24, batch 3400, loss[loss=0.2966, simple_loss=0.3702, pruned_loss=0.1115, over 14319.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03835, over 283.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.346, pruned_loss=0.1005, over 2780822.79 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06892, over 45043.85 utterances.], batch size: 283, lr: 1.97e-04
+2022-09-19 01:18:41,530 INFO [train.py:885] (0/2) Epoch 24, batch 3450, loss[loss=0.338, simple_loss=0.4017, pruned_loss=0.1371, over 14232.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04361, over 335.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3487, pruned_loss=0.1022, over 2779541.72 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07093, over 46625.30 utterances.], batch size: 335, lr: 1.97e-04
+2022-09-19 01:19:11,224 INFO [train.py:885] (0/2) Epoch 24, batch 3500, loss[loss=0.3054, simple_loss=0.3953, pruned_loss=0.1077, over 13776.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07086, over 411.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3478, pruned_loss=0.1014, over 2775257.86 frames. utt_duration=241.8 frames, utt_pad_proportion=0.0716, over 46191.86 utterances.], batch size: 411, lr: 1.97e-04
+2022-09-19 01:19:40,373 INFO [train.py:885] (0/2) Epoch 24, batch 3550, loss[loss=0.4392, simple_loss=0.4628, pruned_loss=0.2078, over 14226.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04404, over 335.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3443, pruned_loss=0.09977, over 2773764.50 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07214, over 45085.40 utterances.], batch size: 335, lr: 1.97e-04
+2022-09-19 01:20:09,821 INFO [train.py:885] (0/2) Epoch 24, batch 3600, loss[loss=0.1594, simple_loss=0.2368, pruned_loss=0.04098, over 13015.00 frames. utt_duration=1579 frames, utt_pad_proportion=0.1262, over 33.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.343, pruned_loss=0.09875, over 2779632.13 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06937, over 43842.13 utterances.], batch size: 33, lr: 1.97e-04
+2022-09-19 01:20:39,280 INFO [train.py:885] (0/2) Epoch 24, batch 3650, loss[loss=0.375, simple_loss=0.4471, pruned_loss=0.1514, over 14001.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05603, over 365.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3426, pruned_loss=0.09848, over 2781549.90 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06918, over 43625.03 utterances.], batch size: 365, lr: 1.97e-04
+2022-09-19 01:21:08,839 INFO [train.py:885] (0/2) Epoch 24, batch 3700, loss[loss=0.3511, simple_loss=0.4044, pruned_loss=0.1489, over 14248.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04177, over 180.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.343, pruned_loss=0.09868, over 2776177.44 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07067, over 43987.75 utterances.], batch size: 180, lr: 1.97e-04
+2022-09-19 01:21:38,680 INFO [train.py:885] (0/2) Epoch 24, batch 3750, loss[loss=0.1644, simple_loss=0.2279, pruned_loss=0.05044, over 13864.00 frames. utt_duration=926 frames, utt_pad_proportion=0.06843, over 60.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3463, pruned_loss=0.1009, over 2770346.92 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07418, over 45264.65 utterances.], batch size: 60, lr: 1.97e-04
+2022-09-19 01:22:08,150 INFO [train.py:885] (0/2) Epoch 24, batch 3800, loss[loss=0.2701, simple_loss=0.3611, pruned_loss=0.08955, over 14290.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04007, over 283.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3453, pruned_loss=0.1002, over 2775832.11 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07198, over 44656.28 utterances.], batch size: 283, lr: 1.97e-04
+2022-09-19 01:22:37,306 INFO [train.py:885] (0/2) Epoch 24, batch 3850, loss[loss=0.2762, simple_loss=0.3451, pruned_loss=0.1036, over 14379.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03698, over 167.00 utterances.], tot_loss[loss=0.273, simple_loss=0.346, pruned_loss=0.09995, over 2777979.40 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07154, over 45652.90 utterances.], batch size: 167, lr: 1.97e-04
+2022-09-19 01:23:06,885 INFO [train.py:885] (0/2) Epoch 24, batch 3900, loss[loss=0.3219, simple_loss=0.4181, pruned_loss=0.1128, over 13612.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07792, over 560.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3444, pruned_loss=0.0991, over 2782351.73 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06963, over 44457.60 utterances.], batch size: 560, lr: 1.96e-04
+2022-09-19 01:23:36,236 INFO [train.py:885] (0/2) Epoch 24, batch 3950, loss[loss=0.2874, simple_loss=0.3528, pruned_loss=0.111, over 14290.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03906, over 180.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3463, pruned_loss=0.0996, over 2785787.15 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06822, over 45071.35 utterances.], batch size: 180, lr: 1.96e-04
+2022-09-19 01:24:06,568 INFO [train.py:885] (0/2) Epoch 24, batch 4000, loss[loss=0.2183, simple_loss=0.2744, pruned_loss=0.08108, over 14018.00 frames. utt_duration=573.6 frames, utt_pad_proportion=0.05661, over 98.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3507, pruned_loss=0.1024, over 2783225.55 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07129, over 46892.50 utterances.], batch size: 98, lr: 1.96e-04
+2022-09-19 01:24:36,336 INFO [train.py:885] (0/2) Epoch 24, batch 4050, loss[loss=0.1487, simple_loss=0.2007, pruned_loss=0.04839, over 13357.00 frames. utt_duration=1620 frames, utt_pad_proportion=0.1028, over 33.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3443, pruned_loss=0.09901, over 2779948.54 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07121, over 44899.31 utterances.], batch size: 33, lr: 1.96e-04
+2022-09-19 01:25:04,763 INFO [train.py:885] (0/2) Epoch 24, batch 4100, loss[loss=0.2926, simple_loss=0.3709, pruned_loss=0.1071, over 14373.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0358, over 244.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3431, pruned_loss=0.09833, over 2780949.96 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07027, over 44507.93 utterances.], batch size: 244, lr: 1.96e-04
+2022-09-19 01:25:34,908 INFO [train.py:885] (0/2) Epoch 24, batch 4150, loss[loss=0.192, simple_loss=0.2545, pruned_loss=0.06471, over 13556.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08511, over 50.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3439, pruned_loss=0.09914, over 2779641.14 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07115, over 44619.34 utterances.], batch size: 50, lr: 1.96e-04
+2022-09-19 01:26:04,074 INFO [train.py:885] (0/2) Epoch 24, batch 4200, loss[loss=0.5568, simple_loss=0.6266, pruned_loss=0.2435, over 12461.00 frames. utt_duration=63.05 frames, utt_pad_proportion=0.148, over 810.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3469, pruned_loss=0.1003, over 2777966.04 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07249, over 46153.08 utterances.], batch size: 810, lr: 1.96e-04
+2022-09-19 01:26:33,302 INFO [train.py:885] (0/2) Epoch 24, batch 4250, loss[loss=0.2785, simple_loss=0.3557, pruned_loss=0.1006, over 14355.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.036, over 195.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3469, pruned_loss=0.1008, over 2777568.13 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07202, over 46102.54 utterances.], batch size: 195, lr: 1.96e-04
+2022-09-19 01:27:03,649 INFO [train.py:885] (0/2) Epoch 24, batch 4300, loss[loss=0.2386, simple_loss=0.3215, pruned_loss=0.0778, over 14331.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.0399, over 142.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3478, pruned_loss=0.1009, over 2781352.64 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06927, over 46233.20 utterances.], batch size: 142, lr: 1.96e-04
+2022-09-19 01:27:33,435 INFO [train.py:885] (0/2) Epoch 24, batch 4350, loss[loss=0.2327, simple_loss=0.296, pruned_loss=0.0847, over 12557.00 frames. utt_duration=2011 frames, utt_pad_proportion=0.1382, over 25.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.346, pruned_loss=0.1001, over 2777625.59 frames. utt_duration=244 frames, utt_pad_proportion=0.0711, over 45817.58 utterances.], batch size: 25, lr: 1.96e-04
+2022-09-19 01:28:02,822 INFO [train.py:885] (0/2) Epoch 24, batch 4400, loss[loss=0.3305, simple_loss=0.3965, pruned_loss=0.1323, over 14324.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0381, over 283.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3454, pruned_loss=0.09961, over 2778562.53 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07156, over 45653.76 utterances.], batch size: 283, lr: 1.96e-04
+2022-09-19 01:28:32,523 INFO [train.py:885] (0/2) Epoch 24, batch 4450, loss[loss=0.1904, simple_loss=0.27, pruned_loss=0.05536, over 14166.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.05021, over 89.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3479, pruned_loss=0.1009, over 2776682.95 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07269, over 46406.56 utterances.], batch size: 89, lr: 1.96e-04
+2022-09-19 01:29:01,794 INFO [train.py:885] (0/2) Epoch 24, batch 4500, loss[loss=0.386, simple_loss=0.4792, pruned_loss=0.1464, over 13143.00 frames. utt_duration=82.01 frames, utt_pad_proportion=0.1086, over 653.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3523, pruned_loss=0.1034, over 2777286.12 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07567, over 47969.90 utterances.], batch size: 653, lr: 1.96e-04
+2022-09-19 01:29:32,437 INFO [train.py:885] (0/2) Epoch 24, batch 4550, loss[loss=0.4022, simple_loss=0.4987, pruned_loss=0.1528, over 13188.00 frames. utt_duration=82.3 frames, utt_pad_proportion=0.1055, over 653.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3538, pruned_loss=0.1041, over 2777477.31 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07558, over 47872.02 utterances.], batch size: 653, lr: 1.96e-04
+2022-09-19 01:30:01,722 INFO [train.py:885] (0/2) Epoch 24, batch 4600, loss[loss=0.3004, simple_loss=0.3722, pruned_loss=0.1143, over 14431.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03261, over 196.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3522, pruned_loss=0.1033, over 2780274.34 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07425, over 47308.74 utterances.], batch size: 196, lr: 1.96e-04
+2022-09-19 01:30:30,726 INFO [train.py:885] (0/2) Epoch 24, batch 4650, loss[loss=0.2729, simple_loss=0.3475, pruned_loss=0.09915, over 14234.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04671, over 141.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.352, pruned_loss=0.1033, over 2784949.38 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07256, over 47074.03 utterances.], batch size: 141, lr: 1.96e-04
+2022-09-19 01:30:59,619 INFO [train.py:885] (0/2) Epoch 24, batch 4700, loss[loss=0.3039, simple_loss=0.3989, pruned_loss=0.1045, over 13768.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07191, over 411.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3496, pruned_loss=0.1024, over 2782938.33 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07195, over 46123.85 utterances.], batch size: 411, lr: 1.96e-04
+2022-09-19 01:31:29,505 INFO [train.py:885] (0/2) Epoch 24, batch 4750, loss[loss=0.1948, simple_loss=0.2594, pruned_loss=0.06506, over 12188.00 frames. utt_duration=2033 frames, utt_pad_proportion=0.1674, over 24.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3539, pruned_loss=0.1049, over 2780933.44 frames. utt_duration=235 frames, utt_pad_proportion=0.07345, over 47641.88 utterances.], batch size: 24, lr: 1.96e-04
+2022-09-19 01:31:59,245 INFO [train.py:885] (0/2) Epoch 24, batch 4800, loss[loss=0.2121, simple_loss=0.2867, pruned_loss=0.06878, over 14167.00 frames. utt_duration=638.1 frames, utt_pad_proportion=0.04901, over 89.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.354, pruned_loss=0.1049, over 2783341.78 frames. utt_duration=234.6 frames, utt_pad_proportion=0.072, over 47749.26 utterances.], batch size: 89, lr: 1.96e-04
+2022-09-19 01:32:29,049 INFO [train.py:885] (0/2) Epoch 24, batch 4850, loss[loss=0.2657, simple_loss=0.341, pruned_loss=0.09516, over 14263.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04095, over 180.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3551, pruned_loss=0.1051, over 2786624.85 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07184, over 48528.98 utterances.], batch size: 180, lr: 1.96e-04
+2022-09-19 01:32:58,550 INFO [train.py:885] (0/2) Epoch 24, batch 4900, loss[loss=0.2939, simple_loss=0.3967, pruned_loss=0.09559, over 13751.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07316, over 411.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3517, pruned_loss=0.1036, over 2783566.56 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07022, over 46937.91 utterances.], batch size: 411, lr: 1.96e-04
+2022-09-19 01:33:28,143 INFO [train.py:885] (0/2) Epoch 24, batch 4950, loss[loss=0.2754, simple_loss=0.3493, pruned_loss=0.1007, over 14294.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03931, over 180.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3525, pruned_loss=0.1041, over 2786163.42 frames. utt_duration=238.1 frames, utt_pad_proportion=0.06885, over 47096.90 utterances.], batch size: 180, lr: 1.96e-04
+2022-09-19 01:33:57,447 INFO [train.py:885] (0/2) Epoch 24, batch 5000, loss[loss=0.287, simple_loss=0.3447, pruned_loss=0.1147, over 14274.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04232, over 130.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3495, pruned_loss=0.1028, over 2787157.41 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06719, over 45801.30 utterances.], batch size: 130, lr: 1.96e-04
+2022-09-19 01:34:26,848 INFO [train.py:885] (0/2) Epoch 24, batch 5050, loss[loss=0.2209, simple_loss=0.2833, pruned_loss=0.07929, over 14076.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.05397, over 79.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3468, pruned_loss=0.1017, over 2782454.13 frames. utt_duration=247.3 frames, utt_pad_proportion=0.0695, over 45275.21 utterances.], batch size: 79, lr: 1.96e-04
+2022-09-19 01:34:56,417 INFO [train.py:885] (0/2) Epoch 24, batch 5100, loss[loss=0.3305, simple_loss=0.3951, pruned_loss=0.1329, over 14328.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03854, over 283.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3497, pruned_loss=0.1033, over 2780880.16 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07157, over 46330.45 utterances.], batch size: 283, lr: 1.96e-04
+2022-09-19 01:35:26,516 INFO [train.py:885] (0/2) Epoch 24, batch 5150, loss[loss=0.3122, simple_loss=0.3795, pruned_loss=0.1225, over 14283.00 frames. utt_duration=219.3 frames, utt_pad_proportion=0.04218, over 262.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3511, pruned_loss=0.1044, over 2780106.87 frames. utt_duration=239.4 frames, utt_pad_proportion=0.073, over 46731.70 utterances.], batch size: 262, lr: 1.96e-04
+2022-09-19 01:35:56,018 INFO [train.py:885] (0/2) Epoch 24, batch 5200, loss[loss=0.2342, simple_loss=0.3174, pruned_loss=0.07546, over 14229.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04453, over 141.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3471, pruned_loss=0.1023, over 2783084.07 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07166, over 45201.31 utterances.], batch size: 141, lr: 1.96e-04
+2022-09-19 01:36:25,308 INFO [train.py:885] (0/2) Epoch 24, batch 5250, loss[loss=0.3589, simple_loss=0.4548, pruned_loss=0.1315, over 13146.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3456, pruned_loss=0.1016, over 2781750.37 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07086, over 44566.92 utterances.], batch size: 653, lr: 1.96e-04
+2022-09-19 01:36:55,115 INFO [train.py:885] (0/2) Epoch 24, batch 5300, loss[loss=0.2847, simple_loss=0.3609, pruned_loss=0.1042, over 14285.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03972, over 225.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3478, pruned_loss=0.103, over 2779421.64 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0712, over 45301.22 utterances.], batch size: 225, lr: 1.96e-04
+2022-09-19 01:37:23,992 INFO [train.py:885] (0/2) Epoch 24, batch 5350, loss[loss=0.276, simple_loss=0.3486, pruned_loss=0.1017, over 14285.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04006, over 180.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3503, pruned_loss=0.1041, over 2780101.86 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07287, over 46583.27 utterances.], batch size: 180, lr: 1.96e-04
+2022-09-19 01:37:53,025 INFO [train.py:885] (0/2) Epoch 24, batch 5400, loss[loss=0.1798, simple_loss=0.2595, pruned_loss=0.05004, over 13539.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08876, over 50.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3486, pruned_loss=0.1025, over 2783540.86 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07119, over 46250.57 utterances.], batch size: 50, lr: 1.96e-04
+2022-09-19 01:38:22,962 INFO [train.py:885] (0/2) Epoch 24, batch 5450, loss[loss=0.1886, simple_loss=0.2428, pruned_loss=0.06724, over 12510.00 frames. utt_duration=2003 frames, utt_pad_proportion=0.1117, over 25.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3494, pruned_loss=0.1032, over 2785374.54 frames. utt_duration=240.6 frames, utt_pad_proportion=0.0697, over 46586.89 utterances.], batch size: 25, lr: 1.96e-04
+2022-09-19 01:38:52,415 INFO [train.py:885] (0/2) Epoch 24, batch 5500, loss[loss=0.223, simple_loss=0.2976, pruned_loss=0.0742, over 14168.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.04731, over 89.00 utterances.], tot_loss[loss=0.278, simple_loss=0.349, pruned_loss=0.1035, over 2782617.33 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07053, over 46041.89 utterances.], batch size: 89, lr: 1.96e-04
+2022-09-19 01:39:22,331 INFO [train.py:885] (0/2) Epoch 24, batch 5550, loss[loss=0.3293, simple_loss=0.3885, pruned_loss=0.1351, over 14219.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04404, over 335.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3455, pruned_loss=0.1019, over 2782426.22 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06935, over 44559.33 utterances.], batch size: 335, lr: 1.96e-04
+2022-09-19 01:39:51,648 INFO [train.py:885] (0/2) Epoch 24, batch 5600, loss[loss=0.2719, simple_loss=0.3485, pruned_loss=0.09761, over 14313.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03777, over 180.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3476, pruned_loss=0.1022, over 2779315.57 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07084, over 45994.72 utterances.], batch size: 180, lr: 1.96e-04
+2022-09-19 01:40:21,442 INFO [train.py:885] (0/2) Epoch 24, batch 5650, loss[loss=0.1844, simple_loss=0.2503, pruned_loss=0.05928, over 13887.00 frames. utt_duration=1112 frames, utt_pad_proportion=0.06598, over 50.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3474, pruned_loss=0.1015, over 2783629.64 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06841, over 45957.68 utterances.], batch size: 50, lr: 1.96e-04
+2022-09-19 01:40:51,058 INFO [train.py:885] (0/2) Epoch 24, batch 5700, loss[loss=0.3138, simple_loss=0.4144, pruned_loss=0.1066, over 13604.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.07837, over 560.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3481, pruned_loss=0.1018, over 2782083.43 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07014, over 46709.75 utterances.], batch size: 560, lr: 1.96e-04
+2022-09-19 01:41:15,318 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-296000.pt
+2022-09-19 01:41:20,705 INFO [train.py:885] (0/2) Epoch 24, batch 5750, loss[loss=0.3771, simple_loss=0.4268, pruned_loss=0.1637, over 14252.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04236, over 335.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3485, pruned_loss=0.1022, over 2781412.98 frames. utt_duration=240.8 frames, utt_pad_proportion=0.0713, over 46487.86 utterances.], batch size: 335, lr: 1.96e-04
+2022-09-19 01:41:50,377 INFO [train.py:885] (0/2) Epoch 24, batch 5800, loss[loss=0.4882, simple_loss=0.4859, pruned_loss=0.2453, over 14222.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04288, over 335.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3486, pruned_loss=0.103, over 2782542.73 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0719, over 45639.81 utterances.], batch size: 335, lr: 1.96e-04
+2022-09-19 01:42:20,873 INFO [train.py:885] (0/2) Epoch 24, batch 5850, loss[loss=0.3016, simple_loss=0.396, pruned_loss=0.1036, over 13667.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07878, over 477.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3491, pruned_loss=0.1032, over 2778581.93 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07297, over 46364.42 utterances.], batch size: 477, lr: 1.96e-04
+2022-09-19 01:42:50,733 INFO [train.py:885] (0/2) Epoch 24, batch 5900, loss[loss=0.1584, simple_loss=0.2358, pruned_loss=0.04044, over 14093.00 frames. utt_duration=806.6 frames, utt_pad_proportion=0.05881, over 70.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3467, pruned_loss=0.1022, over 2783025.10 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07084, over 44642.15 utterances.], batch size: 70, lr: 1.96e-04
+2022-09-19 01:43:19,609 INFO [train.py:885] (0/2) Epoch 24, batch 5950, loss[loss=0.32, simple_loss=0.4047, pruned_loss=0.1177, over 13783.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07131, over 411.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3473, pruned_loss=0.1026, over 2777766.96 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07233, over 45325.40 utterances.], batch size: 411, lr: 1.96e-04
+2022-09-19 01:43:49,734 INFO [train.py:885] (0/2) Epoch 24, batch 6000, loss[loss=0.2988, simple_loss=0.3996, pruned_loss=0.09898, over 13678.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07737, over 477.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3503, pruned_loss=0.1042, over 2778145.29 frames. utt_duration=240.3 frames, utt_pad_proportion=0.0733, over 46537.69 utterances.], batch size: 477, lr: 1.96e-04
+2022-09-19 01:43:49,736 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 01:43:54,439 INFO [train.py:914] (0/2) Epoch 24, validation: loss=0.1914, simple_loss=0.2718, pruned_loss=0.05551, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 01:44:24,274 INFO [train.py:885] (0/2) Epoch 24, batch 6050, loss[loss=0.4386, simple_loss=0.5163, pruned_loss=0.1804, over 13630.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.07782, over 560.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3514, pruned_loss=0.1038, over 2776219.59 frames. utt_duration=233.9 frames, utt_pad_proportion=0.0747, over 47780.03 utterances.], batch size: 560, lr: 1.96e-04
+2022-09-19 01:44:53,698 INFO [train.py:885] (0/2) Epoch 24, batch 6100, loss[loss=0.2775, simple_loss=0.3469, pruned_loss=0.1041, over 14260.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04516, over 141.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3518, pruned_loss=0.1042, over 2776172.44 frames. utt_duration=236 frames, utt_pad_proportion=0.07464, over 47360.06 utterances.], batch size: 141, lr: 1.96e-04
+2022-09-19 01:45:23,194 INFO [train.py:885] (0/2) Epoch 24, batch 6150, loss[loss=0.2818, simple_loss=0.3606, pruned_loss=0.1015, over 14353.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03394, over 244.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3482, pruned_loss=0.1021, over 2774990.87 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07426, over 46486.25 utterances.], batch size: 244, lr: 1.96e-04
+2022-09-19 01:45:52,871 INFO [train.py:885] (0/2) Epoch 24, batch 6200, loss[loss=0.2366, simple_loss=0.3278, pruned_loss=0.07268, over 14293.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04143, over 154.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3501, pruned_loss=0.1033, over 2773031.66 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07415, over 46746.15 utterances.], batch size: 154, lr: 1.96e-04
+2022-09-19 01:46:22,134 INFO [train.py:885] (0/2) Epoch 24, batch 6250, loss[loss=0.189, simple_loss=0.2541, pruned_loss=0.06193, over 13982.00 frames. utt_duration=709.3 frames, utt_pad_proportion=0.06047, over 79.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3505, pruned_loss=0.1029, over 2774193.44 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07493, over 47290.94 utterances.], batch size: 79, lr: 1.96e-04
+2022-09-19 01:46:51,847 INFO [train.py:885] (0/2) Epoch 24, batch 6300, loss[loss=0.2345, simple_loss=0.2956, pruned_loss=0.08672, over 14156.00 frames. utt_duration=579.2 frames, utt_pad_proportion=0.05042, over 98.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3502, pruned_loss=0.1033, over 2771355.16 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07515, over 47360.83 utterances.], batch size: 98, lr: 1.96e-04
+2022-09-19 01:47:21,194 INFO [train.py:885] (0/2) Epoch 24, batch 6350, loss[loss=0.2752, simple_loss=0.3474, pruned_loss=0.1015, over 14354.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.0382, over 167.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3489, pruned_loss=0.1026, over 2772206.96 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07492, over 46737.64 utterances.], batch size: 167, lr: 1.96e-04
+2022-09-19 01:47:50,765 INFO [train.py:885] (0/2) Epoch 24, batch 6400, loss[loss=0.239, simple_loss=0.311, pruned_loss=0.08352, over 14317.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.0387, over 120.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3468, pruned_loss=0.1017, over 2771835.72 frames. utt_duration=246 frames, utt_pad_proportion=0.07394, over 45342.53 utterances.], batch size: 120, lr: 1.96e-04
+2022-09-19 01:48:19,868 INFO [train.py:885] (0/2) Epoch 24, batch 6450, loss[loss=0.2724, simple_loss=0.3755, pruned_loss=0.08467, over 13765.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07234, over 411.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3472, pruned_loss=0.102, over 2769419.71 frames. utt_duration=246 frames, utt_pad_proportion=0.07413, over 45308.76 utterances.], batch size: 411, lr: 1.96e-04
+2022-09-19 01:48:49,697 INFO [train.py:885] (0/2) Epoch 24, batch 6500, loss[loss=0.2233, simple_loss=0.2944, pruned_loss=0.07608, over 14017.00 frames. utt_duration=710.9 frames, utt_pad_proportion=0.05962, over 79.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3466, pruned_loss=0.1016, over 2772119.28 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07409, over 45009.19 utterances.], batch size: 79, lr: 1.96e-04
+2022-09-19 01:49:19,325 INFO [train.py:885] (0/2) Epoch 24, batch 6550, loss[loss=0.3897, simple_loss=0.4804, pruned_loss=0.1494, over 13171.00 frames. utt_duration=82.24 frames, utt_pad_proportion=0.1061, over 653.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3483, pruned_loss=0.1028, over 2771974.62 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07529, over 46498.46 utterances.], batch size: 653, lr: 1.96e-04
+2022-09-19 01:49:49,035 INFO [train.py:885] (0/2) Epoch 24, batch 6600, loss[loss=0.2947, simple_loss=0.3635, pruned_loss=0.1129, over 14313.00 frames. utt_duration=255.8 frames, utt_pad_proportion=0.03826, over 225.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3489, pruned_loss=0.1032, over 2773274.31 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07476, over 46614.65 utterances.], batch size: 225, lr: 1.96e-04
+2022-09-19 01:50:17,903 INFO [train.py:885] (0/2) Epoch 24, batch 6650, loss[loss=0.2985, simple_loss=0.3518, pruned_loss=0.1226, over 14185.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04355, over 109.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3443, pruned_loss=0.1008, over 2775012.77 frames. utt_duration=248.9 frames, utt_pad_proportion=0.072, over 44869.58 utterances.], batch size: 109, lr: 1.96e-04
+2022-09-19 01:50:47,238 INFO [train.py:885] (0/2) Epoch 24, batch 6700, loss[loss=0.2768, simple_loss=0.3597, pruned_loss=0.09694, over 14361.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03524, over 210.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3447, pruned_loss=0.1011, over 2776031.46 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07193, over 44691.45 utterances.], batch size: 210, lr: 1.96e-04
+2022-09-19 01:51:16,817 INFO [train.py:885] (0/2) Epoch 24, batch 6750, loss[loss=0.3103, simple_loss=0.3727, pruned_loss=0.1239, over 14205.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.04859, over 141.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3452, pruned_loss=0.1016, over 2780660.69 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07187, over 44090.49 utterances.], batch size: 141, lr: 1.96e-04
+2022-09-19 01:51:46,454 INFO [train.py:885] (0/2) Epoch 24, batch 6800, loss[loss=0.3865, simple_loss=0.4775, pruned_loss=0.1477, over 13209.00 frames. utt_duration=82.45 frames, utt_pad_proportion=0.1038, over 653.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3449, pruned_loss=0.1007, over 2777341.97 frames. utt_duration=251 frames, utt_pad_proportion=0.07181, over 44522.42 utterances.], batch size: 653, lr: 1.96e-04
+2022-09-19 01:52:16,277 INFO [train.py:885] (0/2) Epoch 24, batch 6850, loss[loss=0.1886, simple_loss=0.2576, pruned_loss=0.05985, over 13895.00 frames. utt_duration=806.9 frames, utt_pad_proportion=0.0606, over 69.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3447, pruned_loss=0.1, over 2776247.44 frames. utt_duration=248.9 frames, utt_pad_proportion=0.0724, over 44874.74 utterances.], batch size: 69, lr: 1.96e-04
+2022-09-19 01:52:46,120 INFO [train.py:885] (0/2) Epoch 24, batch 6900, loss[loss=0.3499, simple_loss=0.3939, pruned_loss=0.153, over 14355.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.0383, over 167.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3434, pruned_loss=0.1002, over 2778519.07 frames. utt_duration=257.8 frames, utt_pad_proportion=0.07127, over 43357.76 utterances.], batch size: 167, lr: 1.95e-04
+2022-09-19 01:53:15,467 INFO [train.py:885] (0/2) Epoch 24, batch 6950, loss[loss=0.1713, simple_loss=0.2325, pruned_loss=0.055, over 13226.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09731, over 41.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3435, pruned_loss=0.09962, over 2783113.19 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06983, over 43543.56 utterances.], batch size: 41, lr: 1.95e-04
+2022-09-19 01:53:52,510 INFO [train.py:885] (0/2) Epoch 24, batch 7000, loss[loss=0.2142, simple_loss=0.2703, pruned_loss=0.07904, over 12339.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1573, over 24.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3468, pruned_loss=0.1011, over 2780989.14 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07086, over 44856.16 utterances.], batch size: 24, lr: 1.95e-04
+2022-09-19 01:54:22,502 INFO [train.py:885] (0/2) Epoch 24, batch 7050, loss[loss=0.2828, simple_loss=0.3586, pruned_loss=0.1035, over 14344.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03667, over 283.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.348, pruned_loss=0.1012, over 2780306.09 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07239, over 45998.36 utterances.], batch size: 283, lr: 1.95e-04
+2022-09-19 01:54:59,252 INFO [train.py:885] (0/2) Epoch 24, batch 7100, loss[loss=0.3321, simple_loss=0.4199, pruned_loss=0.1222, over 13787.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07033, over 411.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3471, pruned_loss=0.1017, over 2784582.79 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07027, over 45044.42 utterances.], batch size: 411, lr: 1.95e-04
+2022-09-19 01:55:28,594 INFO [train.py:885] (0/2) Epoch 24, batch 7150, loss[loss=0.233, simple_loss=0.2864, pruned_loss=0.08975, over 14123.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05114, over 98.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3467, pruned_loss=0.1014, over 2784567.75 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07043, over 45015.60 utterances.], batch size: 98, lr: 1.95e-04
+2022-09-19 01:55:58,821 INFO [train.py:885] (0/2) Epoch 24, batch 7200, loss[loss=0.3106, simple_loss=0.3772, pruned_loss=0.1219, over 14306.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.03868, over 225.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3502, pruned_loss=0.1024, over 2783462.97 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07111, over 47043.67 utterances.], batch size: 225, lr: 1.95e-04
+2022-09-19 01:56:28,565 INFO [train.py:885] (0/2) Epoch 24, batch 7250, loss[loss=0.3934, simple_loss=0.4369, pruned_loss=0.175, over 14262.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04069, over 335.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.348, pruned_loss=0.1011, over 2779789.31 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07202, over 46562.61 utterances.], batch size: 335, lr: 1.95e-04
+2022-09-19 01:56:58,000 INFO [train.py:885] (0/2) Epoch 24, batch 7300, loss[loss=0.2004, simple_loss=0.267, pruned_loss=0.06694, over 13583.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.0863, over 50.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3495, pruned_loss=0.1025, over 2774447.96 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07338, over 47335.17 utterances.], batch size: 50, lr: 1.95e-04
+2022-09-19 01:57:27,160 INFO [train.py:885] (0/2) Epoch 24, batch 7350, loss[loss=0.1967, simple_loss=0.2665, pruned_loss=0.06347, over 13529.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08941, over 50.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3455, pruned_loss=0.1003, over 2776712.95 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0713, over 45630.01 utterances.], batch size: 50, lr: 1.95e-04
+2022-09-19 01:57:56,891 INFO [train.py:885] (0/2) Epoch 24, batch 7400, loss[loss=0.3241, simple_loss=0.3813, pruned_loss=0.1335, over 14307.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.03882, over 226.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.346, pruned_loss=0.1011, over 2776076.79 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07186, over 44881.94 utterances.], batch size: 226, lr: 1.95e-04
+2022-09-19 01:58:26,151 INFO [train.py:885] (0/2) Epoch 24, batch 7450, loss[loss=0.2394, simple_loss=0.3231, pruned_loss=0.07785, over 14246.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04574, over 141.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3432, pruned_loss=0.09934, over 2780129.44 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06936, over 43925.48 utterances.], batch size: 141, lr: 1.95e-04
+2022-09-19 01:58:55,569 INFO [train.py:885] (0/2) Epoch 24, batch 7500, loss[loss=0.1952, simple_loss=0.2676, pruned_loss=0.06135, over 12710.00 frames. utt_duration=2035 frames, utt_pad_proportion=0.1362, over 25.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3447, pruned_loss=0.1003, over 2777998.17 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07118, over 44369.91 utterances.], batch size: 25, lr: 1.95e-04
+2022-09-19 01:59:31,255 INFO [train.py:885] (0/2) Epoch 24, batch 7550, loss[loss=0.2128, simple_loss=0.2788, pruned_loss=0.0734, over 14197.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04705, over 89.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3451, pruned_loss=0.09981, over 2776099.12 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07216, over 45023.68 utterances.], batch size: 89, lr: 1.95e-04
+2022-09-19 02:00:00,765 INFO [train.py:885] (0/2) Epoch 24, batch 7600, loss[loss=0.1561, simple_loss=0.2172, pruned_loss=0.04748, over 12299.00 frames. utt_duration=2051 frames, utt_pad_proportion=0.1702, over 24.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3424, pruned_loss=0.09852, over 2772139.63 frames. utt_duration=250.3 frames, utt_pad_proportion=0.0737, over 44565.80 utterances.], batch size: 24, lr: 1.95e-04
+2022-09-19 02:00:36,435 INFO [train.py:885] (0/2) Epoch 24, batch 7650, loss[loss=0.2003, simple_loss=0.269, pruned_loss=0.06583, over 13929.00 frames. utt_duration=808.9 frames, utt_pad_proportion=0.05718, over 69.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3402, pruned_loss=0.09729, over 2777960.16 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07074, over 43427.77 utterances.], batch size: 69, lr: 1.95e-04
+2022-09-19 02:01:05,905 INFO [train.py:885] (0/2) Epoch 24, batch 7700, loss[loss=0.2604, simple_loss=0.3431, pruned_loss=0.08884, over 14312.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04088, over 167.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3432, pruned_loss=0.09855, over 2774283.49 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07328, over 45816.96 utterances.], batch size: 167, lr: 1.95e-04
+2022-09-19 02:01:35,507 INFO [train.py:885] (0/2) Epoch 24, batch 7750, loss[loss=0.3216, simple_loss=0.3884, pruned_loss=0.1274, over 14328.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0379, over 283.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3413, pruned_loss=0.09779, over 2776476.87 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07159, over 44836.51 utterances.], batch size: 283, lr: 1.95e-04
+2022-09-19 02:02:04,820 INFO [train.py:885] (0/2) Epoch 24, batch 7800, loss[loss=0.3889, simple_loss=0.4283, pruned_loss=0.1748, over 14284.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03956, over 180.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3415, pruned_loss=0.09806, over 2774235.03 frames. utt_duration=249 frames, utt_pad_proportion=0.07286, over 44836.17 utterances.], batch size: 180, lr: 1.95e-04
+2022-09-19 02:02:34,574 INFO [train.py:885] (0/2) Epoch 24, batch 7850, loss[loss=0.209, simple_loss=0.2715, pruned_loss=0.07324, over 13756.00 frames. utt_duration=918.5 frames, utt_pad_proportion=0.07776, over 60.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3423, pruned_loss=0.09906, over 2779245.80 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06939, over 44630.49 utterances.], batch size: 60, lr: 1.95e-04
+2022-09-19 02:03:03,043 INFO [train.py:885] (0/2) Epoch 24, batch 7900, loss[loss=0.2723, simple_loss=0.357, pruned_loss=0.09373, over 14252.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04202, over 225.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3439, pruned_loss=0.09977, over 2779818.40 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07102, over 45055.13 utterances.], batch size: 225, lr: 1.95e-04
+2022-09-19 02:03:32,243 INFO [train.py:885] (0/2) Epoch 24, batch 7950, loss[loss=0.3172, simple_loss=0.3952, pruned_loss=0.1196, over 14000.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05489, over 365.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3459, pruned_loss=0.1013, over 2781569.47 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07023, over 44816.47 utterances.], batch size: 365, lr: 1.95e-04
+2022-09-19 02:04:02,186 INFO [train.py:885] (0/2) Epoch 24, batch 8000, loss[loss=0.1329, simple_loss=0.192, pruned_loss=0.03685, over 12496.00 frames. utt_duration=2084 frames, utt_pad_proportion=0.1578, over 24.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3433, pruned_loss=0.1002, over 2783071.64 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06769, over 43719.82 utterances.], batch size: 24, lr: 1.95e-04
+2022-09-19 02:04:31,583 INFO [train.py:885] (0/2) Epoch 24, batch 8050, loss[loss=0.2446, simple_loss=0.2928, pruned_loss=0.09818, over 13923.00 frames. utt_duration=929.5 frames, utt_pad_proportion=0.06588, over 60.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3446, pruned_loss=0.1008, over 2782311.48 frames. utt_duration=251.7 frames, utt_pad_proportion=0.0679, over 44468.05 utterances.], batch size: 60, lr: 1.95e-04
+2022-09-19 02:05:01,521 INFO [train.py:885] (0/2) Epoch 24, batch 8100, loss[loss=0.2759, simple_loss=0.3601, pruned_loss=0.09578, over 14347.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03587, over 210.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3483, pruned_loss=0.1022, over 2784074.12 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07099, over 45594.44 utterances.], batch size: 210, lr: 1.95e-04
+2022-09-19 02:05:30,510 INFO [train.py:885] (0/2) Epoch 24, batch 8150, loss[loss=0.2823, simple_loss=0.3881, pruned_loss=0.08828, over 13690.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07699, over 477.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.345, pruned_loss=0.1002, over 2779289.81 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07076, over 45170.43 utterances.], batch size: 477, lr: 1.95e-04
+2022-09-19 02:06:00,790 INFO [train.py:885] (0/2) Epoch 24, batch 8200, loss[loss=0.31, simple_loss=0.3958, pruned_loss=0.1121, over 13994.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05618, over 365.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3456, pruned_loss=0.1006, over 2776812.87 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07228, over 45080.04 utterances.], batch size: 365, lr: 1.95e-04
+2022-09-19 02:06:30,824 INFO [train.py:885] (0/2) Epoch 24, batch 8250, loss[loss=0.24, simple_loss=0.3234, pruned_loss=0.07828, over 14307.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03784, over 130.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3467, pruned_loss=0.1017, over 2777848.01 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07185, over 45479.13 utterances.], batch size: 130, lr: 1.95e-04
+2022-09-19 02:07:00,027 INFO [train.py:885] (0/2) Epoch 24, batch 8300, loss[loss=0.3603, simple_loss=0.3986, pruned_loss=0.161, over 14207.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04391, over 141.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3456, pruned_loss=0.1008, over 2781090.35 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07033, over 44989.48 utterances.], batch size: 141, lr: 1.95e-04
+2022-09-19 02:07:29,510 INFO [train.py:885] (0/2) Epoch 24, batch 8350, loss[loss=0.3127, simple_loss=0.3835, pruned_loss=0.121, over 14388.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03093, over 244.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3482, pruned_loss=0.1022, over 2783712.34 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07056, over 45636.19 utterances.], batch size: 244, lr: 1.95e-04
+2022-09-19 02:07:58,865 INFO [train.py:885] (0/2) Epoch 24, batch 8400, loss[loss=0.1969, simple_loss=0.2666, pruned_loss=0.06363, over 13689.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.07769, over 42.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3477, pruned_loss=0.1022, over 2783067.47 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07047, over 45175.21 utterances.], batch size: 42, lr: 1.95e-04
+2022-09-19 02:08:28,795 INFO [train.py:885] (0/2) Epoch 24, batch 8450, loss[loss=0.3172, simple_loss=0.4253, pruned_loss=0.1046, over 13589.00 frames. utt_duration=98.43 frames, utt_pad_proportion=0.08009, over 560.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3491, pruned_loss=0.1023, over 2778100.12 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07322, over 46563.57 utterances.], batch size: 560, lr: 1.95e-04
+2022-09-19 02:08:57,676 INFO [train.py:885] (0/2) Epoch 24, batch 8500, loss[loss=0.2828, simple_loss=0.3588, pruned_loss=0.1034, over 14323.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03783, over 210.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3464, pruned_loss=0.1015, over 2779821.36 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07127, over 45137.20 utterances.], batch size: 210, lr: 1.95e-04
+2022-09-19 02:09:27,665 INFO [train.py:885] (0/2) Epoch 24, batch 8550, loss[loss=0.4267, simple_loss=0.4798, pruned_loss=0.1868, over 13814.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06851, over 411.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3497, pruned_loss=0.1029, over 2779417.90 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07221, over 46687.95 utterances.], batch size: 411, lr: 1.95e-04
+2022-09-19 02:09:57,054 INFO [train.py:885] (0/2) Epoch 24, batch 8600, loss[loss=0.2907, simple_loss=0.3576, pruned_loss=0.1118, over 14303.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03819, over 180.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3477, pruned_loss=0.1011, over 2776645.24 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07321, over 46471.73 utterances.], batch size: 180, lr: 1.95e-04
+2022-09-19 02:10:26,581 INFO [train.py:885] (0/2) Epoch 24, batch 8650, loss[loss=0.3164, simple_loss=0.3818, pruned_loss=0.1255, over 14342.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03439, over 244.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3435, pruned_loss=0.09899, over 2779371.30 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07151, over 44392.96 utterances.], batch size: 244, lr: 1.95e-04
+2022-09-19 02:10:56,085 INFO [train.py:885] (0/2) Epoch 24, batch 8700, loss[loss=0.2718, simple_loss=0.3326, pruned_loss=0.1055, over 13988.00 frames. utt_duration=572.4 frames, utt_pad_proportion=0.06012, over 98.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3467, pruned_loss=0.1006, over 2781981.73 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07131, over 45178.92 utterances.], batch size: 98, lr: 1.95e-04
+2022-09-19 02:11:25,713 INFO [train.py:885] (0/2) Epoch 24, batch 8750, loss[loss=0.2326, simple_loss=0.307, pruned_loss=0.07914, over 14327.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03767, over 120.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3492, pruned_loss=0.1026, over 2781930.68 frames. utt_duration=244 frames, utt_pad_proportion=0.07298, over 45886.93 utterances.], batch size: 120, lr: 1.95e-04
+2022-09-19 02:11:54,899 INFO [train.py:885] (0/2) Epoch 24, batch 8800, loss[loss=0.195, simple_loss=0.2806, pruned_loss=0.05474, over 14261.00 frames. utt_duration=520.2 frames, utt_pad_proportion=0.04552, over 110.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3484, pruned_loss=0.102, over 2786553.52 frames. utt_duration=248 frames, utt_pad_proportion=0.07037, over 45216.01 utterances.], batch size: 110, lr: 1.95e-04
+2022-09-19 02:12:25,258 INFO [train.py:885] (0/2) Epoch 24, batch 8850, loss[loss=0.2591, simple_loss=0.3262, pruned_loss=0.09601, over 14304.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.04012, over 130.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3492, pruned_loss=0.1025, over 2781270.08 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07169, over 46035.25 utterances.], batch size: 130, lr: 1.95e-04
+2022-09-19 02:12:54,046 INFO [train.py:885] (0/2) Epoch 24, batch 8900, loss[loss=0.2475, simple_loss=0.3269, pruned_loss=0.08407, over 14305.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04083, over 154.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3438, pruned_loss=0.09979, over 2782985.16 frames. utt_duration=258.9 frames, utt_pad_proportion=0.0686, over 43248.87 utterances.], batch size: 154, lr: 1.95e-04
+2022-09-19 02:13:23,776 INFO [train.py:885] (0/2) Epoch 24, batch 8950, loss[loss=0.2356, simple_loss=0.3252, pruned_loss=0.07301, over 14246.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04175, over 180.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.349, pruned_loss=0.102, over 2782107.73 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07155, over 45715.19 utterances.], batch size: 180, lr: 1.95e-04
+2022-09-19 02:13:53,327 INFO [train.py:885] (0/2) Epoch 24, batch 9000, loss[loss=0.1802, simple_loss=0.2542, pruned_loss=0.05315, over 13743.00 frames. utt_duration=917.5 frames, utt_pad_proportion=0.07508, over 60.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3476, pruned_loss=0.1017, over 2781639.98 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07105, over 44802.26 utterances.], batch size: 60, lr: 1.95e-04
+2022-09-19 02:13:53,328 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 02:13:58,086 INFO [train.py:914] (0/2) Epoch 24, validation: loss=0.1882, simple_loss=0.2681, pruned_loss=0.05417, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 02:14:27,349 INFO [train.py:885] (0/2) Epoch 24, batch 9050, loss[loss=0.3515, simple_loss=0.4051, pruned_loss=0.149, over 14344.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03611, over 210.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3475, pruned_loss=0.1014, over 2783906.96 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07075, over 44921.27 utterances.], batch size: 210, lr: 1.95e-04
+2022-09-19 02:14:57,271 INFO [train.py:885] (0/2) Epoch 24, batch 9100, loss[loss=0.4234, simple_loss=0.456, pruned_loss=0.1954, over 14210.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0437, over 306.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3496, pruned_loss=0.1019, over 2777456.19 frames. utt_duration=237.8 frames, utt_pad_proportion=0.073, over 47006.51 utterances.], batch size: 306, lr: 1.95e-04
+2022-09-19 02:15:26,345 INFO [train.py:885] (0/2) Epoch 24, batch 9150, loss[loss=0.2892, simple_loss=0.3631, pruned_loss=0.1076, over 14217.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04429, over 225.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3507, pruned_loss=0.1018, over 2777279.39 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07477, over 47522.55 utterances.], batch size: 225, lr: 1.95e-04
+2022-09-19 02:15:55,728 INFO [train.py:885] (0/2) Epoch 24, batch 9200, loss[loss=0.2474, simple_loss=0.3182, pruned_loss=0.08825, over 14330.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03848, over 130.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3492, pruned_loss=0.101, over 2777076.32 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07552, over 46650.85 utterances.], batch size: 130, lr: 1.95e-04
+2022-09-19 02:16:25,292 INFO [train.py:885] (0/2) Epoch 24, batch 9250, loss[loss=0.2114, simple_loss=0.2783, pruned_loss=0.07223, over 14069.00 frames. utt_duration=805.5 frames, utt_pad_proportion=0.06011, over 70.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3497, pruned_loss=0.1012, over 2779669.78 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07485, over 46867.62 utterances.], batch size: 70, lr: 1.95e-04
+2022-09-19 02:16:54,879 INFO [train.py:885] (0/2) Epoch 24, batch 9300, loss[loss=0.3569, simple_loss=0.4087, pruned_loss=0.1526, over 14255.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04167, over 335.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3485, pruned_loss=0.1009, over 2781166.42 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07191, over 46615.32 utterances.], batch size: 335, lr: 1.95e-04
+2022-09-19 02:17:24,832 INFO [train.py:885] (0/2) Epoch 24, batch 9350, loss[loss=0.1736, simple_loss=0.2426, pruned_loss=0.05228, over 13701.00 frames. utt_duration=914.8 frames, utt_pad_proportion=0.0806, over 60.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3508, pruned_loss=0.1022, over 2776362.80 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07391, over 48105.08 utterances.], batch size: 60, lr: 1.95e-04
+2022-09-19 02:17:54,309 INFO [train.py:885] (0/2) Epoch 24, batch 9400, loss[loss=0.3104, simple_loss=0.3589, pruned_loss=0.131, over 14043.00 frames. utt_duration=574.3 frames, utt_pad_proportion=0.05845, over 98.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3492, pruned_loss=0.1022, over 2779101.10 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07231, over 46733.94 utterances.], batch size: 98, lr: 1.95e-04
+2022-09-19 02:18:24,001 INFO [train.py:885] (0/2) Epoch 24, batch 9450, loss[loss=0.2005, simple_loss=0.2707, pruned_loss=0.06513, over 12813.00 frames. utt_duration=2052 frames, utt_pad_proportion=0.1318, over 25.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3512, pruned_loss=0.1031, over 2779532.96 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07194, over 47110.37 utterances.], batch size: 25, lr: 1.95e-04
+2022-09-19 02:18:53,912 INFO [train.py:885] (0/2) Epoch 24, batch 9500, loss[loss=0.511, simple_loss=0.5969, pruned_loss=0.2126, over 12493.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1452, over 810.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3521, pruned_loss=0.1035, over 2780639.08 frames. utt_duration=236 frames, utt_pad_proportion=0.07399, over 47424.34 utterances.], batch size: 810, lr: 1.95e-04
+2022-09-19 02:19:22,913 INFO [train.py:885] (0/2) Epoch 24, batch 9550, loss[loss=0.2517, simple_loss=0.3007, pruned_loss=0.1014, over 14007.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05998, over 79.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.351, pruned_loss=0.1037, over 2780303.30 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0742, over 46739.73 utterances.], batch size: 79, lr: 1.95e-04
+2022-09-19 02:19:52,721 INFO [train.py:885] (0/2) Epoch 24, batch 9600, loss[loss=0.2967, simple_loss=0.3757, pruned_loss=0.1088, over 14319.00 frames. utt_duration=220 frames, utt_pad_proportion=0.0391, over 262.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3501, pruned_loss=0.1027, over 2778298.82 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07289, over 46453.09 utterances.], batch size: 262, lr: 1.95e-04
+2022-09-19 02:20:22,270 INFO [train.py:885] (0/2) Epoch 24, batch 9650, loss[loss=0.3676, simple_loss=0.4189, pruned_loss=0.1582, over 14338.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03787, over 262.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3492, pruned_loss=0.1033, over 2777863.78 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07143, over 45744.03 utterances.], batch size: 262, lr: 1.95e-04
+2022-09-19 02:20:51,431 INFO [train.py:885] (0/2) Epoch 24, batch 9700, loss[loss=0.2192, simple_loss=0.2929, pruned_loss=0.07271, over 14149.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04666, over 109.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3486, pruned_loss=0.102, over 2781046.22 frames. utt_duration=243 frames, utt_pad_proportion=0.07147, over 46062.61 utterances.], batch size: 109, lr: 1.95e-04
+2022-09-19 02:21:15,530 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-300000.pt
+2022-09-19 02:21:20,962 INFO [train.py:885] (0/2) Epoch 24, batch 9750, loss[loss=0.1877, simple_loss=0.2501, pruned_loss=0.0626, over 13808.00 frames. utt_duration=921.8 frames, utt_pad_proportion=0.07073, over 60.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3472, pruned_loss=0.1015, over 2782309.19 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07107, over 45275.05 utterances.], batch size: 60, lr: 1.95e-04
+2022-09-19 02:21:50,308 INFO [train.py:885] (0/2) Epoch 24, batch 9800, loss[loss=0.408, simple_loss=0.4856, pruned_loss=0.1652, over 13803.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06908, over 411.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3472, pruned_loss=0.1009, over 2779659.25 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07216, over 45540.71 utterances.], batch size: 411, lr: 1.95e-04
+2022-09-19 02:22:19,837 INFO [train.py:885] (0/2) Epoch 24, batch 9850, loss[loss=0.1494, simple_loss=0.2045, pruned_loss=0.0472, over 13161.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.1076, over 33.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.348, pruned_loss=0.1011, over 2778084.60 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07335, over 46099.02 utterances.], batch size: 33, lr: 1.95e-04
+2022-09-19 02:22:50,064 INFO [train.py:885] (0/2) Epoch 24, batch 9900, loss[loss=0.2605, simple_loss=0.3547, pruned_loss=0.08314, over 14274.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0405, over 225.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3477, pruned_loss=0.1011, over 2779941.14 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07346, over 46307.01 utterances.], batch size: 225, lr: 1.95e-04
+2022-09-19 02:23:19,714 INFO [train.py:885] (0/2) Epoch 24, batch 9950, loss[loss=0.3483, simple_loss=0.4307, pruned_loss=0.133, over 13730.00 frames. utt_duration=116.6 frames, utt_pad_proportion=0.07446, over 477.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3499, pruned_loss=0.1024, over 2779292.10 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07443, over 47336.67 utterances.], batch size: 477, lr: 1.95e-04
+2022-09-19 02:23:48,607 INFO [train.py:885] (0/2) Epoch 24, batch 10000, loss[loss=0.2772, simple_loss=0.3353, pruned_loss=0.1096, over 14310.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03944, over 120.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3476, pruned_loss=0.1018, over 2780500.37 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07393, over 45578.75 utterances.], batch size: 120, lr: 1.94e-04
+2022-09-19 02:24:17,484 INFO [train.py:885] (0/2) Epoch 24, batch 10050, loss[loss=0.305, simple_loss=0.399, pruned_loss=0.1055, over 13988.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05658, over 365.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3459, pruned_loss=0.1013, over 2784138.26 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07094, over 43885.23 utterances.], batch size: 365, lr: 1.94e-04
+2022-09-19 02:24:47,808 INFO [train.py:885] (0/2) Epoch 24, batch 10100, loss[loss=0.4656, simple_loss=0.5656, pruned_loss=0.1828, over 12511.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.1441, over 810.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3474, pruned_loss=0.1014, over 2780013.72 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07199, over 44824.24 utterances.], batch size: 810, lr: 1.94e-04
+2022-09-19 02:25:17,395 INFO [train.py:885] (0/2) Epoch 24, batch 10150, loss[loss=0.2198, simple_loss=0.3017, pruned_loss=0.06891, over 14356.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.03624, over 120.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3495, pruned_loss=0.1018, over 2779352.30 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07336, over 45917.11 utterances.], batch size: 120, lr: 1.94e-04
+2022-09-19 02:25:47,058 INFO [train.py:885] (0/2) Epoch 24, batch 10200, loss[loss=0.1739, simple_loss=0.2546, pruned_loss=0.0466, over 13274.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09376, over 41.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3448, pruned_loss=0.1, over 2775041.21 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07392, over 44066.03 utterances.], batch size: 41, lr: 1.94e-04
+2022-09-19 02:26:16,213 INFO [train.py:885] (0/2) Epoch 24, batch 10250, loss[loss=0.308, simple_loss=0.3776, pruned_loss=0.1192, over 14230.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.04322, over 225.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3419, pruned_loss=0.0987, over 2777503.18 frames. utt_duration=260.4 frames, utt_pad_proportion=0.07174, over 42900.80 utterances.], batch size: 225, lr: 1.94e-04
+2022-09-19 02:26:46,047 INFO [train.py:885] (0/2) Epoch 24, batch 10300, loss[loss=0.1906, simple_loss=0.2567, pruned_loss=0.06226, over 13901.00 frames. utt_duration=705.2 frames, utt_pad_proportion=0.06719, over 79.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3475, pruned_loss=0.1026, over 2780405.46 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07208, over 44355.85 utterances.], batch size: 79, lr: 1.94e-04
+2022-09-19 02:27:15,808 INFO [train.py:885] (0/2) Epoch 24, batch 10350, loss[loss=0.1727, simple_loss=0.228, pruned_loss=0.05868, over 12954.00 frames. utt_duration=1572 frames, utt_pad_proportion=0.1205, over 33.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3437, pruned_loss=0.1005, over 2776037.35 frames. utt_duration=257.7 frames, utt_pad_proportion=0.07285, over 43330.36 utterances.], batch size: 33, lr: 1.94e-04
+2022-09-19 02:27:44,864 INFO [train.py:885] (0/2) Epoch 24, batch 10400, loss[loss=0.3419, simple_loss=0.3957, pruned_loss=0.1441, over 14304.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04048, over 262.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.348, pruned_loss=0.1021, over 2777601.97 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07363, over 45167.40 utterances.], batch size: 262, lr: 1.94e-04
+2022-09-19 02:28:14,384 INFO [train.py:885] (0/2) Epoch 24, batch 10450, loss[loss=0.3238, simple_loss=0.4163, pruned_loss=0.1157, over 13631.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08108, over 477.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3471, pruned_loss=0.1006, over 2778660.24 frames. utt_duration=247 frames, utt_pad_proportion=0.07466, over 45273.35 utterances.], batch size: 477, lr: 1.94e-04
+2022-09-19 02:28:43,683 INFO [train.py:885] (0/2) Epoch 24, batch 10500, loss[loss=0.1838, simple_loss=0.2625, pruned_loss=0.05256, over 14166.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.04895, over 89.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3448, pruned_loss=0.1, over 2778213.39 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07371, over 44162.62 utterances.], batch size: 89, lr: 1.94e-04
+2022-09-19 02:29:13,068 INFO [train.py:885] (0/2) Epoch 24, batch 10550, loss[loss=0.2796, simple_loss=0.3632, pruned_loss=0.09802, over 14373.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03197, over 244.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3449, pruned_loss=0.1004, over 2780187.97 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07357, over 44284.87 utterances.], batch size: 244, lr: 1.94e-04
+2022-09-19 02:29:42,877 INFO [train.py:885] (0/2) Epoch 24, batch 10600, loss[loss=0.3905, simple_loss=0.4841, pruned_loss=0.1485, over 13154.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3467, pruned_loss=0.1001, over 2776821.50 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07552, over 45665.58 utterances.], batch size: 653, lr: 1.94e-04
+2022-09-19 02:30:29,279 INFO [train.py:885] (0/2) Epoch 24, batch 10650, loss[loss=0.3603, simple_loss=0.4584, pruned_loss=0.1311, over 13156.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3473, pruned_loss=0.101, over 2777186.67 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07394, over 45529.18 utterances.], batch size: 653, lr: 1.94e-04
+2022-09-19 02:30:59,351 INFO [train.py:885] (0/2) Epoch 24, batch 10700, loss[loss=0.1982, simple_loss=0.2731, pruned_loss=0.06163, over 14163.00 frames. utt_duration=638 frames, utt_pad_proportion=0.04921, over 89.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3466, pruned_loss=0.1012, over 2776033.92 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07449, over 44537.41 utterances.], batch size: 89, lr: 1.94e-04
+2022-09-19 02:31:28,563 INFO [train.py:885] (0/2) Epoch 24, batch 10750, loss[loss=0.3824, simple_loss=0.481, pruned_loss=0.1419, over 13193.00 frames. utt_duration=82.29 frames, utt_pad_proportion=0.1055, over 653.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3489, pruned_loss=0.1017, over 2774316.60 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07602, over 45688.16 utterances.], batch size: 653, lr: 1.94e-04
+2022-09-19 02:31:57,535 INFO [train.py:885] (0/2) Epoch 24, batch 10800, loss[loss=0.2696, simple_loss=0.3421, pruned_loss=0.09852, over 14316.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03985, over 154.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3504, pruned_loss=0.1025, over 2778533.98 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07393, over 45851.84 utterances.], batch size: 154, lr: 1.94e-04
+2022-09-19 02:32:27,268 INFO [train.py:885] (0/2) Epoch 24, batch 10850, loss[loss=0.1909, simple_loss=0.261, pruned_loss=0.06044, over 14182.00 frames. utt_duration=638.8 frames, utt_pad_proportion=0.04511, over 89.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3489, pruned_loss=0.1024, over 2777767.97 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07264, over 45185.20 utterances.], batch size: 89, lr: 1.94e-04
+2022-09-19 02:32:57,460 INFO [train.py:885] (0/2) Epoch 24, batch 10900, loss[loss=0.1672, simple_loss=0.2324, pruned_loss=0.05097, over 13429.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1037, over 34.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3486, pruned_loss=0.1021, over 2780065.65 frames. utt_duration=248 frames, utt_pad_proportion=0.07205, over 45100.28 utterances.], batch size: 34, lr: 1.94e-04
+2022-09-19 02:33:25,828 INFO [train.py:885] (0/2) Epoch 24, batch 10950, loss[loss=0.3062, simple_loss=0.3761, pruned_loss=0.1182, over 14378.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03202, over 244.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3463, pruned_loss=0.1007, over 2781249.47 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07078, over 44671.10 utterances.], batch size: 244, lr: 1.94e-04
+2022-09-19 02:33:55,948 INFO [train.py:885] (0/2) Epoch 24, batch 11000, loss[loss=0.1832, simple_loss=0.2726, pruned_loss=0.04688, over 13182.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.1018, over 41.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3531, pruned_loss=0.1034, over 2777767.42 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07505, over 48091.59 utterances.], batch size: 41, lr: 1.94e-04
+2022-09-19 02:34:25,424 INFO [train.py:885] (0/2) Epoch 24, batch 11050, loss[loss=0.3016, simple_loss=0.3946, pruned_loss=0.1043, over 13787.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07008, over 411.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3542, pruned_loss=0.1041, over 2777995.82 frames. utt_duration=230.3 frames, utt_pad_proportion=0.0754, over 48556.35 utterances.], batch size: 411, lr: 1.94e-04
+2022-09-19 02:34:54,794 INFO [train.py:885] (0/2) Epoch 24, batch 11100, loss[loss=0.2211, simple_loss=0.2857, pruned_loss=0.07828, over 13802.00 frames. utt_duration=921.5 frames, utt_pad_proportion=0.07384, over 60.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3515, pruned_loss=0.103, over 2778510.16 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07345, over 47346.98 utterances.], batch size: 60, lr: 1.94e-04
+2022-09-19 02:35:24,864 INFO [train.py:885] (0/2) Epoch 24, batch 11150, loss[loss=0.3167, simple_loss=0.4221, pruned_loss=0.1056, over 13664.00 frames. utt_duration=98.77 frames, utt_pad_proportion=0.07695, over 561.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3521, pruned_loss=0.1034, over 2776776.95 frames. utt_duration=233 frames, utt_pad_proportion=0.0744, over 47975.18 utterances.], batch size: 561, lr: 1.94e-04
+2022-09-19 02:35:54,405 INFO [train.py:885] (0/2) Epoch 24, batch 11200, loss[loss=0.3835, simple_loss=0.4298, pruned_loss=0.1685, over 14261.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04156, over 335.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3488, pruned_loss=0.1018, over 2780962.70 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07167, over 46189.08 utterances.], batch size: 335, lr: 1.94e-04
+2022-09-19 02:36:24,069 INFO [train.py:885] (0/2) Epoch 24, batch 11250, loss[loss=0.3251, simple_loss=0.4015, pruned_loss=0.1244, over 14004.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05553, over 365.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.35, pruned_loss=0.1026, over 2785189.25 frames. utt_duration=243.1 frames, utt_pad_proportion=0.0716, over 46107.67 utterances.], batch size: 365, lr: 1.94e-04
+2022-09-19 02:36:53,423 INFO [train.py:885] (0/2) Epoch 24, batch 11300, loss[loss=0.2437, simple_loss=0.3201, pruned_loss=0.08363, over 14256.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04522, over 141.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3431, pruned_loss=0.09908, over 2781172.49 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06998, over 43998.23 utterances.], batch size: 141, lr: 1.94e-04
+2022-09-19 02:37:23,300 INFO [train.py:885] (0/2) Epoch 24, batch 11350, loss[loss=0.3581, simple_loss=0.4121, pruned_loss=0.1521, over 14262.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.0412, over 306.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3446, pruned_loss=0.09997, over 2783536.97 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06947, over 44363.80 utterances.], batch size: 306, lr: 1.94e-04
+2022-09-19 02:37:52,302 INFO [train.py:885] (0/2) Epoch 24, batch 11400, loss[loss=0.2061, simple_loss=0.2575, pruned_loss=0.07735, over 13570.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09206, over 42.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3421, pruned_loss=0.09849, over 2784260.51 frames. utt_duration=256.9 frames, utt_pad_proportion=0.0687, over 43604.75 utterances.], batch size: 42, lr: 1.94e-04
+2022-09-19 02:38:21,631 INFO [train.py:885] (0/2) Epoch 24, batch 11450, loss[loss=0.2413, simple_loss=0.3097, pruned_loss=0.08645, over 14137.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.0504, over 98.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.343, pruned_loss=0.09905, over 2777422.71 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07152, over 44094.03 utterances.], batch size: 98, lr: 1.94e-04
+2022-09-19 02:38:51,954 INFO [train.py:885] (0/2) Epoch 24, batch 11500, loss[loss=0.3235, simple_loss=0.3892, pruned_loss=0.1289, over 14308.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03982, over 262.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3456, pruned_loss=0.09963, over 2785722.95 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06993, over 45319.09 utterances.], batch size: 262, lr: 1.94e-04
+2022-09-19 02:39:21,664 INFO [train.py:885] (0/2) Epoch 24, batch 11550, loss[loss=0.2545, simple_loss=0.3341, pruned_loss=0.08741, over 14355.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03838, over 167.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3451, pruned_loss=0.0994, over 2782503.32 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06986, over 45466.78 utterances.], batch size: 167, lr: 1.94e-04
+2022-09-19 02:39:50,641 INFO [train.py:885] (0/2) Epoch 24, batch 11600, loss[loss=0.3055, simple_loss=0.3833, pruned_loss=0.1138, over 14359.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03541, over 210.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3461, pruned_loss=0.09992, over 2780251.91 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07064, over 45748.19 utterances.], batch size: 210, lr: 1.94e-04
+2022-09-19 02:40:20,332 INFO [train.py:885] (0/2) Epoch 24, batch 11650, loss[loss=0.1915, simple_loss=0.2669, pruned_loss=0.05803, over 13871.00 frames. utt_duration=926.1 frames, utt_pad_proportion=0.07016, over 60.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3492, pruned_loss=0.1024, over 2780806.53 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07134, over 46454.24 utterances.], batch size: 60, lr: 1.94e-04
+2022-09-19 02:40:49,815 INFO [train.py:885] (0/2) Epoch 24, batch 11700, loss[loss=0.2796, simple_loss=0.3725, pruned_loss=0.09331, over 13957.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05949, over 365.00 utterances.], tot_loss[loss=0.279, simple_loss=0.352, pruned_loss=0.1029, over 2781132.45 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07135, over 47790.56 utterances.], batch size: 365, lr: 1.94e-04
+2022-09-19 02:41:19,628 INFO [train.py:885] (0/2) Epoch 24, batch 11750, loss[loss=0.1818, simple_loss=0.2544, pruned_loss=0.05462, over 13462.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.08199, over 41.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3481, pruned_loss=0.1012, over 2779757.04 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0715, over 46202.04 utterances.], batch size: 41, lr: 1.94e-04
+2022-09-19 02:41:48,999 INFO [train.py:885] (0/2) Epoch 24, batch 11800, loss[loss=0.1454, simple_loss=0.2045, pruned_loss=0.04318, over 13657.00 frames. utt_duration=911.8 frames, utt_pad_proportion=0.08083, over 60.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3478, pruned_loss=0.1011, over 2777904.44 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07284, over 46420.38 utterances.], batch size: 60, lr: 1.94e-04
+2022-09-19 02:42:18,608 INFO [train.py:885] (0/2) Epoch 24, batch 11850, loss[loss=0.3173, simple_loss=0.395, pruned_loss=0.1198, over 14241.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04209, over 225.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3485, pruned_loss=0.101, over 2783512.28 frames. utt_duration=240 frames, utt_pad_proportion=0.07141, over 46678.58 utterances.], batch size: 225, lr: 1.94e-04
+2022-09-19 02:42:47,960 INFO [train.py:885] (0/2) Epoch 24, batch 11900, loss[loss=0.3186, simple_loss=0.3832, pruned_loss=0.127, over 14322.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03752, over 180.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3502, pruned_loss=0.1019, over 2781056.88 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07272, over 47474.91 utterances.], batch size: 180, lr: 1.94e-04
+2022-09-19 02:43:17,590 INFO [train.py:885] (0/2) Epoch 24, batch 11950, loss[loss=0.3791, simple_loss=0.4823, pruned_loss=0.1379, over 13210.00 frames. utt_duration=82.42 frames, utt_pad_proportion=0.1042, over 653.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3503, pruned_loss=0.1022, over 2787307.39 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07092, over 46971.62 utterances.], batch size: 653, lr: 1.94e-04
+2022-09-19 02:43:47,851 INFO [train.py:885] (0/2) Epoch 24, batch 12000, loss[loss=0.2293, simple_loss=0.3067, pruned_loss=0.07596, over 13993.00 frames. utt_duration=710 frames, utt_pad_proportion=0.05714, over 79.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3515, pruned_loss=0.1028, over 2780626.40 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07224, over 47736.85 utterances.], batch size: 79, lr: 1.94e-04
+2022-09-19 02:43:47,852 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 02:43:52,539 INFO [train.py:914] (0/2) Epoch 24, validation: loss=0.192, simple_loss=0.2705, pruned_loss=0.05674, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 02:44:21,766 INFO [train.py:885] (0/2) Epoch 24, batch 12050, loss[loss=0.2844, simple_loss=0.3438, pruned_loss=0.1125, over 14259.00 frames. utt_duration=440 frames, utt_pad_proportion=0.04349, over 130.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3487, pruned_loss=0.1018, over 2781781.55 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07097, over 46351.77 utterances.], batch size: 130, lr: 1.94e-04
+2022-09-19 02:44:51,283 INFO [train.py:885] (0/2) Epoch 24, batch 12100, loss[loss=0.2715, simple_loss=0.3361, pruned_loss=0.1034, over 14360.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.03427, over 130.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3501, pruned_loss=0.1028, over 2783179.59 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07104, over 46466.05 utterances.], batch size: 130, lr: 1.94e-04
+2022-09-19 02:45:20,497 INFO [train.py:885] (0/2) Epoch 24, batch 12150, loss[loss=0.2931, simple_loss=0.3941, pruned_loss=0.09603, over 13589.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08313, over 477.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3474, pruned_loss=0.1011, over 2780839.32 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06984, over 45971.33 utterances.], batch size: 477, lr: 1.94e-04
+2022-09-19 02:45:50,369 INFO [train.py:885] (0/2) Epoch 24, batch 12200, loss[loss=0.3985, simple_loss=0.4363, pruned_loss=0.1804, over 14233.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04239, over 335.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.352, pruned_loss=0.1033, over 2778381.82 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07321, over 48386.37 utterances.], batch size: 335, lr: 1.94e-04
+2022-09-19 02:46:19,822 INFO [train.py:885] (0/2) Epoch 24, batch 12250, loss[loss=0.182, simple_loss=0.2562, pruned_loss=0.0539, over 13256.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1091, over 33.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3495, pruned_loss=0.1026, over 2781871.93 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07091, over 46966.11 utterances.], batch size: 33, lr: 1.94e-04
+2022-09-19 02:46:56,415 INFO [train.py:885] (0/2) Epoch 24, batch 12300, loss[loss=0.2662, simple_loss=0.3663, pruned_loss=0.08305, over 14045.00 frames. utt_duration=155.3 frames, utt_pad_proportion=0.05294, over 365.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3461, pruned_loss=0.1004, over 2783793.58 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06985, over 45972.32 utterances.], batch size: 365, lr: 1.94e-04
+2022-09-19 02:47:26,213 INFO [train.py:885] (0/2) Epoch 24, batch 12350, loss[loss=0.2243, simple_loss=0.3006, pruned_loss=0.07403, over 14235.00 frames. utt_duration=524 frames, utt_pad_proportion=0.04029, over 109.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3449, pruned_loss=0.09997, over 2782829.06 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07064, over 45179.11 utterances.], batch size: 109, lr: 1.94e-04
+2022-09-19 02:47:55,255 INFO [train.py:885] (0/2) Epoch 24, batch 12400, loss[loss=0.2523, simple_loss=0.3343, pruned_loss=0.08515, over 14323.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.0373, over 195.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3441, pruned_loss=0.09945, over 2786500.55 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06829, over 44569.47 utterances.], batch size: 195, lr: 1.94e-04
+2022-09-19 02:48:25,458 INFO [train.py:885] (0/2) Epoch 24, batch 12450, loss[loss=0.2972, simple_loss=0.3722, pruned_loss=0.1111, over 14384.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03412, over 210.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3493, pruned_loss=0.102, over 2785174.39 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06963, over 46362.26 utterances.], batch size: 210, lr: 1.94e-04
+2022-09-19 02:48:54,429 INFO [train.py:885] (0/2) Epoch 24, batch 12500, loss[loss=0.2204, simple_loss=0.2865, pruned_loss=0.07719, over 13789.00 frames. utt_duration=920.7 frames, utt_pad_proportion=0.07564, over 60.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3475, pruned_loss=0.1018, over 2791475.46 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06633, over 44485.01 utterances.], batch size: 60, lr: 1.94e-04
+2022-09-19 02:49:24,297 INFO [train.py:885] (0/2) Epoch 24, batch 12550, loss[loss=0.2249, simple_loss=0.2927, pruned_loss=0.07854, over 14011.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05998, over 79.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3461, pruned_loss=0.1006, over 2790891.34 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06621, over 44590.28 utterances.], batch size: 79, lr: 1.94e-04
+2022-09-19 02:49:51,792 INFO [train.py:885] (0/2) Epoch 24, batch 12600, loss[loss=0.3063, simple_loss=0.403, pruned_loss=0.1048, over 13669.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07302, over 478.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3484, pruned_loss=0.1025, over 2792774.34 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06473, over 44083.45 utterances.], batch size: 478, lr: 1.94e-04
+2022-09-19 02:50:03,686 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-24.pt
+2022-09-19 02:50:10,838 INFO [train.py:885] (0/2) Epoch 25, batch 0, loss[loss=0.2017, simple_loss=0.2706, pruned_loss=0.0664, over 14252.00 frames. utt_duration=642.1 frames, utt_pad_proportion=0.043, over 89.00 utterances.], tot_loss[loss=0.2017, simple_loss=0.2706, pruned_loss=0.0664, over 14252.00 frames. utt_duration=642.1 frames, utt_pad_proportion=0.043, over 89.00 utterances.], batch size: 89, lr: 1.90e-04
+2022-09-19 02:50:39,731 INFO [train.py:885] (0/2) Epoch 25, batch 50, loss[loss=0.3937, simple_loss=0.4624, pruned_loss=0.1625, over 13794.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06989, over 411.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3535, pruned_loss=0.1079, over 629522.15 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07044, over 9954.33 utterances.], batch size: 411, lr: 1.90e-04
+2022-09-19 02:51:08,905 INFO [train.py:885] (0/2) Epoch 25, batch 100, loss[loss=0.3077, simple_loss=0.3656, pruned_loss=0.1249, over 14335.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.0398, over 167.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3472, pruned_loss=0.1023, over 1105022.59 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07025, over 17607.73 utterances.], batch size: 167, lr: 1.90e-04
+2022-09-19 02:51:38,919 INFO [train.py:885] (0/2) Epoch 25, batch 150, loss[loss=0.2478, simple_loss=0.3093, pruned_loss=0.09315, over 14194.00 frames. utt_duration=639.3 frames, utt_pad_proportion=0.04725, over 89.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.345, pruned_loss=0.1003, over 1475646.22 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07126, over 23745.18 utterances.], batch size: 89, lr: 1.90e-04
+2022-09-19 02:52:08,244 INFO [train.py:885] (0/2) Epoch 25, batch 200, loss[loss=0.2804, simple_loss=0.3869, pruned_loss=0.08689, over 13752.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07284, over 411.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3487, pruned_loss=0.102, over 1763496.01 frames. utt_duration=243 frames, utt_pad_proportion=0.07026, over 29204.10 utterances.], batch size: 411, lr: 1.90e-04
+2022-09-19 02:52:37,329 INFO [train.py:885] (0/2) Epoch 25, batch 250, loss[loss=0.15, simple_loss=0.2225, pruned_loss=0.03872, over 13599.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.0816, over 42.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3416, pruned_loss=0.0982, over 1995253.78 frames. utt_duration=262.2 frames, utt_pad_proportion=0.06533, over 30607.65 utterances.], batch size: 42, lr: 1.90e-04
+2022-09-19 02:53:07,097 INFO [train.py:885] (0/2) Epoch 25, batch 300, loss[loss=0.3677, simple_loss=0.4689, pruned_loss=0.1333, over 13157.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3495, pruned_loss=0.1016, over 2169807.31 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07019, over 36261.16 utterances.], batch size: 653, lr: 1.90e-04
+2022-09-19 02:53:36,268 INFO [train.py:885] (0/2) Epoch 25, batch 350, loss[loss=0.2046, simple_loss=0.2731, pruned_loss=0.06805, over 14070.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05489, over 98.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3491, pruned_loss=0.1007, over 2305439.83 frames. utt_duration=237.9 frames, utt_pad_proportion=0.06846, over 39004.66 utterances.], batch size: 98, lr: 1.90e-04
+2022-09-19 02:54:06,250 INFO [train.py:885] (0/2) Epoch 25, batch 400, loss[loss=0.2289, simple_loss=0.3013, pruned_loss=0.07821, over 14290.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.04245, over 120.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3521, pruned_loss=0.1025, over 2414061.42 frames. utt_duration=234.7 frames, utt_pad_proportion=0.06955, over 41398.38 utterances.], batch size: 120, lr: 1.90e-04
+2022-09-19 02:54:35,690 INFO [train.py:885] (0/2) Epoch 25, batch 450, loss[loss=0.2551, simple_loss=0.3331, pruned_loss=0.08852, over 14299.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03839, over 130.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3529, pruned_loss=0.1036, over 2496821.18 frames. utt_duration=234.4 frames, utt_pad_proportion=0.06999, over 42881.65 utterances.], batch size: 130, lr: 1.90e-04
+2022-09-19 02:55:05,285 INFO [train.py:885] (0/2) Epoch 25, batch 500, loss[loss=0.2996, simple_loss=0.3776, pruned_loss=0.1108, over 14366.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03427, over 210.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3467, pruned_loss=0.09985, over 2563722.55 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06764, over 41887.43 utterances.], batch size: 210, lr: 1.90e-04
+2022-09-19 02:55:34,674 INFO [train.py:885] (0/2) Epoch 25, batch 550, loss[loss=0.2725, simple_loss=0.3545, pruned_loss=0.09523, over 14315.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03765, over 180.00 utterances.], tot_loss[loss=0.272, simple_loss=0.345, pruned_loss=0.09951, over 2613423.83 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06746, over 41902.57 utterances.], batch size: 180, lr: 1.90e-04
+2022-09-19 02:56:04,586 INFO [train.py:885] (0/2) Epoch 25, batch 600, loss[loss=0.2413, simple_loss=0.2997, pruned_loss=0.09142, over 13941.00 frames. utt_duration=707.3 frames, utt_pad_proportion=0.06321, over 79.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.348, pruned_loss=0.1015, over 2652760.45 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06679, over 43001.46 utterances.], batch size: 79, lr: 1.90e-04
+2022-09-19 02:56:34,426 INFO [train.py:885] (0/2) Epoch 25, batch 650, loss[loss=0.2252, simple_loss=0.3083, pruned_loss=0.07108, over 13288.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09306, over 41.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3462, pruned_loss=0.1006, over 2682583.81 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06598, over 42261.14 utterances.], batch size: 41, lr: 1.90e-04
+2022-09-19 02:57:04,228 INFO [train.py:885] (0/2) Epoch 25, batch 700, loss[loss=0.2764, simple_loss=0.379, pruned_loss=0.08695, over 13786.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07078, over 411.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3488, pruned_loss=0.1011, over 2704600.07 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06945, over 44495.47 utterances.], batch size: 411, lr: 1.90e-04
+2022-09-19 02:57:33,832 INFO [train.py:885] (0/2) Epoch 25, batch 750, loss[loss=0.5155, simple_loss=0.6008, pruned_loss=0.2152, over 12432.00 frames. utt_duration=62.87 frames, utt_pad_proportion=0.1504, over 810.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3446, pruned_loss=0.09802, over 2719612.54 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07037, over 43840.71 utterances.], batch size: 810, lr: 1.90e-04
+2022-09-19 02:58:03,193 INFO [train.py:885] (0/2) Epoch 25, batch 800, loss[loss=0.3109, simple_loss=0.4157, pruned_loss=0.1031, over 13606.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07799, over 560.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3473, pruned_loss=0.09953, over 2735986.80 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07037, over 44902.87 utterances.], batch size: 560, lr: 1.90e-04
+2022-09-19 02:58:32,961 INFO [train.py:885] (0/2) Epoch 25, batch 850, loss[loss=0.1849, simple_loss=0.2545, pruned_loss=0.0576, over 13981.00 frames. utt_duration=800.6 frames, utt_pad_proportion=0.06583, over 70.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3473, pruned_loss=0.09941, over 2743210.30 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07281, over 46020.46 utterances.], batch size: 70, lr: 1.90e-04
+2022-09-19 02:59:02,108 INFO [train.py:885] (0/2) Epoch 25, batch 900, loss[loss=0.3178, simple_loss=0.382, pruned_loss=0.1268, over 14319.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03952, over 262.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3457, pruned_loss=0.09833, over 2751229.23 frames. utt_duration=246 frames, utt_pad_proportion=0.07197, over 45005.39 utterances.], batch size: 262, lr: 1.90e-04
+2022-09-19 02:59:31,824 INFO [train.py:885] (0/2) Epoch 25, batch 950, loss[loss=0.2576, simple_loss=0.3421, pruned_loss=0.08653, over 14280.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04257, over 154.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3465, pruned_loss=0.09867, over 2760922.28 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07001, over 45268.81 utterances.], batch size: 154, lr: 1.90e-04
+2022-09-19 03:00:01,159 INFO [train.py:885] (0/2) Epoch 25, batch 1000, loss[loss=0.2849, simple_loss=0.3756, pruned_loss=0.09715, over 13964.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.0584, over 365.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3482, pruned_loss=0.09983, over 2770392.89 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0692, over 45400.14 utterances.], batch size: 365, lr: 1.90e-04
+2022-09-19 03:00:30,791 INFO [train.py:885] (0/2) Epoch 25, batch 1050, loss[loss=0.2967, simple_loss=0.3687, pruned_loss=0.1123, over 14325.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03822, over 283.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.348, pruned_loss=0.1001, over 2771300.57 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07149, over 45177.72 utterances.], batch size: 283, lr: 1.89e-04
+2022-09-19 03:01:00,259 INFO [train.py:885] (0/2) Epoch 25, batch 1100, loss[loss=0.2795, simple_loss=0.3428, pruned_loss=0.1081, over 14288.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.04019, over 195.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3477, pruned_loss=0.1005, over 2775423.46 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07036, over 45246.37 utterances.], batch size: 195, lr: 1.89e-04
+2022-09-19 03:01:12,268 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-304000.pt
+2022-09-19 03:01:31,667 INFO [train.py:885] (0/2) Epoch 25, batch 1150, loss[loss=0.3063, simple_loss=0.4054, pruned_loss=0.1036, over 13632.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08051, over 477.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.349, pruned_loss=0.1009, over 2777723.80 frames. utt_duration=241.4 frames, utt_pad_proportion=0.06972, over 46318.07 utterances.], batch size: 477, lr: 1.89e-04
+2022-09-19 03:02:01,277 INFO [train.py:885] (0/2) Epoch 25, batch 1200, loss[loss=0.2406, simple_loss=0.3191, pruned_loss=0.08102, over 14342.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03544, over 130.00 utterances.], tot_loss[loss=0.274, simple_loss=0.347, pruned_loss=0.1005, over 2780924.15 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06957, over 44824.93 utterances.], batch size: 130, lr: 1.89e-04
+2022-09-19 03:02:30,668 INFO [train.py:885] (0/2) Epoch 25, batch 1250, loss[loss=0.2016, simple_loss=0.2807, pruned_loss=0.06122, over 12416.00 frames. utt_duration=2071 frames, utt_pad_proportion=0.1545, over 24.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3506, pruned_loss=0.1035, over 2779705.01 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07079, over 45460.52 utterances.], batch size: 24, lr: 1.89e-04
+2022-09-19 03:03:00,391 INFO [train.py:885] (0/2) Epoch 25, batch 1300, loss[loss=0.1727, simple_loss=0.2308, pruned_loss=0.05734, over 13549.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08257, over 50.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3479, pruned_loss=0.1021, over 2780235.48 frames. utt_duration=252.1 frames, utt_pad_proportion=0.0702, over 44373.84 utterances.], batch size: 50, lr: 1.89e-04
+2022-09-19 03:03:30,123 INFO [train.py:885] (0/2) Epoch 25, batch 1350, loss[loss=0.2665, simple_loss=0.3494, pruned_loss=0.09182, over 14243.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04271, over 225.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3502, pruned_loss=0.1032, over 2782811.77 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07066, over 45973.89 utterances.], batch size: 225, lr: 1.89e-04
+2022-09-19 03:03:59,694 INFO [train.py:885] (0/2) Epoch 25, batch 1400, loss[loss=0.2184, simple_loss=0.3015, pruned_loss=0.06762, over 14329.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.03658, over 130.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3507, pruned_loss=0.1032, over 2780029.42 frames. utt_duration=243.1 frames, utt_pad_proportion=0.0696, over 46031.77 utterances.], batch size: 130, lr: 1.89e-04
+2022-09-19 03:04:29,116 INFO [train.py:885] (0/2) Epoch 25, batch 1450, loss[loss=0.2957, simple_loss=0.3712, pruned_loss=0.1101, over 14304.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04053, over 262.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3483, pruned_loss=0.1027, over 2779755.22 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07011, over 45115.05 utterances.], batch size: 262, lr: 1.89e-04
+2022-09-19 03:04:58,784 INFO [train.py:885] (0/2) Epoch 25, batch 1500, loss[loss=0.298, simple_loss=0.4055, pruned_loss=0.09521, over 13620.00 frames. utt_duration=98.56 frames, utt_pad_proportion=0.07884, over 560.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3463, pruned_loss=0.1015, over 2781793.67 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06998, over 44633.10 utterances.], batch size: 560, lr: 1.89e-04
+2022-09-19 03:05:27,803 INFO [train.py:885] (0/2) Epoch 25, batch 1550, loss[loss=0.2694, simple_loss=0.3727, pruned_loss=0.08303, over 13971.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05825, over 365.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3456, pruned_loss=0.1015, over 2783040.33 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06829, over 44346.52 utterances.], batch size: 365, lr: 1.89e-04
+2022-09-19 03:05:57,740 INFO [train.py:885] (0/2) Epoch 25, batch 1600, loss[loss=0.5346, simple_loss=0.6139, pruned_loss=0.2277, over 12498.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1452, over 810.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3506, pruned_loss=0.1037, over 2775770.27 frames. utt_duration=240.1 frames, utt_pad_proportion=0.0731, over 46536.85 utterances.], batch size: 810, lr: 1.89e-04
+2022-09-19 03:06:27,077 INFO [train.py:885] (0/2) Epoch 25, batch 1650, loss[loss=0.358, simple_loss=0.4605, pruned_loss=0.1278, over 13157.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1075, over 653.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3479, pruned_loss=0.103, over 2775006.57 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07255, over 45380.23 utterances.], batch size: 653, lr: 1.89e-04
+2022-09-19 03:06:56,633 INFO [train.py:885] (0/2) Epoch 25, batch 1700, loss[loss=0.1801, simple_loss=0.2466, pruned_loss=0.05677, over 14011.00 frames. utt_duration=710.9 frames, utt_pad_proportion=0.05846, over 79.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.346, pruned_loss=0.1016, over 2773971.20 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07349, over 45057.42 utterances.], batch size: 79, lr: 1.89e-04
+2022-09-19 03:07:26,092 INFO [train.py:885] (0/2) Epoch 25, batch 1750, loss[loss=0.2382, simple_loss=0.3307, pruned_loss=0.07283, over 14315.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03768, over 180.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3444, pruned_loss=0.1004, over 2776786.49 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07331, over 44607.63 utterances.], batch size: 180, lr: 1.89e-04
+2022-09-19 03:07:54,753 INFO [train.py:885] (0/2) Epoch 25, batch 1800, loss[loss=0.1779, simple_loss=0.2275, pruned_loss=0.06414, over 12211.00 frames. utt_duration=2037 frames, utt_pad_proportion=0.1687, over 24.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3437, pruned_loss=0.1001, over 2781729.76 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07101, over 44043.15 utterances.], batch size: 24, lr: 1.89e-04
+2022-09-19 03:08:24,518 INFO [train.py:885] (0/2) Epoch 25, batch 1850, loss[loss=0.2936, simple_loss=0.36, pruned_loss=0.1136, over 14353.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03281, over 195.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3439, pruned_loss=0.1002, over 2781976.18 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07054, over 43874.60 utterances.], batch size: 195, lr: 1.89e-04
+2022-09-19 03:08:53,545 INFO [train.py:885] (0/2) Epoch 25, batch 1900, loss[loss=0.23, simple_loss=0.3144, pruned_loss=0.0728, over 14318.00 frames. utt_duration=442 frames, utt_pad_proportion=0.0391, over 130.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3473, pruned_loss=0.1014, over 2782988.11 frames. utt_duration=245 frames, utt_pad_proportion=0.07275, over 45718.02 utterances.], batch size: 130, lr: 1.89e-04
+2022-09-19 03:09:23,131 INFO [train.py:885] (0/2) Epoch 25, batch 1950, loss[loss=0.2518, simple_loss=0.3271, pruned_loss=0.08821, over 14162.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04565, over 109.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3494, pruned_loss=0.1024, over 2786222.68 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07073, over 45992.98 utterances.], batch size: 109, lr: 1.89e-04
+2022-09-19 03:09:52,814 INFO [train.py:885] (0/2) Epoch 25, batch 2000, loss[loss=0.2266, simple_loss=0.314, pruned_loss=0.06961, over 14231.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04674, over 141.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3471, pruned_loss=0.1015, over 2784175.00 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07156, over 45005.49 utterances.], batch size: 141, lr: 1.89e-04
+2022-09-19 03:10:22,150 INFO [train.py:885] (0/2) Epoch 25, batch 2050, loss[loss=0.2857, simple_loss=0.3594, pruned_loss=0.106, over 14334.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03483, over 244.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3429, pruned_loss=0.09879, over 2784874.86 frames. utt_duration=257.9 frames, utt_pad_proportion=0.07007, over 43435.02 utterances.], batch size: 244, lr: 1.89e-04
+2022-09-19 03:10:51,950 INFO [train.py:885] (0/2) Epoch 25, batch 2100, loss[loss=0.2929, simple_loss=0.3615, pruned_loss=0.1121, over 14277.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03972, over 130.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3427, pruned_loss=0.09834, over 2784903.24 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07, over 43651.59 utterances.], batch size: 130, lr: 1.89e-04
+2022-09-19 03:11:21,017 INFO [train.py:885] (0/2) Epoch 25, batch 2150, loss[loss=0.2418, simple_loss=0.3166, pruned_loss=0.08349, over 14252.00 frames. utt_duration=524.5 frames, utt_pad_proportion=0.03945, over 109.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3396, pruned_loss=0.09662, over 2789818.10 frames. utt_duration=267.6 frames, utt_pad_proportion=0.06674, over 41927.44 utterances.], batch size: 109, lr: 1.89e-04
+2022-09-19 03:11:50,394 INFO [train.py:885] (0/2) Epoch 25, batch 2200, loss[loss=0.2249, simple_loss=0.2953, pruned_loss=0.07721, over 14088.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05515, over 98.00 utterances.], tot_loss[loss=0.2629, simple_loss=0.336, pruned_loss=0.09492, over 2786799.57 frames. utt_duration=274.5 frames, utt_pad_proportion=0.06442, over 40825.65 utterances.], batch size: 98, lr: 1.89e-04
+2022-09-19 03:12:20,140 INFO [train.py:885] (0/2) Epoch 25, batch 2250, loss[loss=0.2871, simple_loss=0.3592, pruned_loss=0.1075, over 14252.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04499, over 141.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3402, pruned_loss=0.09738, over 2786536.09 frames. utt_duration=267 frames, utt_pad_proportion=0.06663, over 41970.38 utterances.], batch size: 141, lr: 1.89e-04
+2022-09-19 03:12:49,597 INFO [train.py:885] (0/2) Epoch 25, batch 2300, loss[loss=0.3398, simple_loss=0.3988, pruned_loss=0.1405, over 14195.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04437, over 306.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3403, pruned_loss=0.09739, over 2787256.32 frames. utt_duration=264.7 frames, utt_pad_proportion=0.06665, over 42362.35 utterances.], batch size: 306, lr: 1.89e-04
+2022-09-19 03:13:19,472 INFO [train.py:885] (0/2) Epoch 25, batch 2350, loss[loss=0.3657, simple_loss=0.4161, pruned_loss=0.1577, over 14370.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03705, over 167.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3418, pruned_loss=0.09787, over 2784755.75 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06854, over 43959.86 utterances.], batch size: 167, lr: 1.89e-04
+2022-09-19 03:13:49,062 INFO [train.py:885] (0/2) Epoch 25, batch 2400, loss[loss=0.3271, simple_loss=0.3932, pruned_loss=0.1305, over 14189.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04465, over 306.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3426, pruned_loss=0.09843, over 2791237.27 frames. utt_duration=259 frames, utt_pad_proportion=0.06473, over 43358.21 utterances.], batch size: 306, lr: 1.89e-04
+2022-09-19 03:14:18,313 INFO [train.py:885] (0/2) Epoch 25, batch 2450, loss[loss=0.2436, simple_loss=0.3172, pruned_loss=0.08497, over 14334.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.0357, over 120.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3454, pruned_loss=0.09944, over 2787732.22 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06726, over 44223.76 utterances.], batch size: 120, lr: 1.89e-04
+2022-09-19 03:14:47,839 INFO [train.py:885] (0/2) Epoch 25, batch 2500, loss[loss=0.2561, simple_loss=0.3375, pruned_loss=0.08738, over 14339.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03625, over 195.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.349, pruned_loss=0.1018, over 2790473.54 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06578, over 44881.43 utterances.], batch size: 195, lr: 1.89e-04
+2022-09-19 03:15:17,689 INFO [train.py:885] (0/2) Epoch 25, batch 2550, loss[loss=0.2224, simple_loss=0.2896, pruned_loss=0.07761, over 14119.00 frames. utt_duration=577.8 frames, utt_pad_proportion=0.0512, over 98.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3516, pruned_loss=0.1034, over 2780439.69 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07039, over 46394.19 utterances.], batch size: 98, lr: 1.89e-04
+2022-09-19 03:15:47,613 INFO [train.py:885] (0/2) Epoch 25, batch 2600, loss[loss=0.2094, simple_loss=0.2758, pruned_loss=0.07151, over 14135.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.05042, over 98.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3526, pruned_loss=0.1038, over 2774702.47 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07458, over 47779.00 utterances.], batch size: 98, lr: 1.89e-04
+2022-09-19 03:16:17,597 INFO [train.py:885] (0/2) Epoch 25, batch 2650, loss[loss=0.2292, simple_loss=0.2965, pruned_loss=0.08093, over 13870.00 frames. utt_duration=926.3 frames, utt_pad_proportion=0.06436, over 60.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3533, pruned_loss=0.1045, over 2771841.53 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07656, over 48054.75 utterances.], batch size: 60, lr: 1.89e-04
+2022-09-19 03:16:46,983 INFO [train.py:885] (0/2) Epoch 25, batch 2700, loss[loss=0.4471, simple_loss=0.5166, pruned_loss=0.1888, over 13147.00 frames. utt_duration=82.06 frames, utt_pad_proportion=0.108, over 653.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3534, pruned_loss=0.105, over 2777232.43 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07651, over 47246.34 utterances.], batch size: 653, lr: 1.89e-04
+2022-09-19 03:17:16,239 INFO [train.py:885] (0/2) Epoch 25, batch 2750, loss[loss=0.3597, simple_loss=0.4292, pruned_loss=0.1451, over 14031.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05363, over 365.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3516, pruned_loss=0.1049, over 2777074.67 frames. utt_duration=241 frames, utt_pad_proportion=0.0756, over 46379.22 utterances.], batch size: 365, lr: 1.89e-04
+2022-09-19 03:17:45,615 INFO [train.py:885] (0/2) Epoch 25, batch 2800, loss[loss=0.1832, simple_loss=0.2527, pruned_loss=0.05684, over 13327.00 frames. utt_duration=1617 frames, utt_pad_proportion=0.1053, over 33.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3477, pruned_loss=0.1025, over 2778187.99 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07453, over 44610.67 utterances.], batch size: 33, lr: 1.89e-04
+2022-09-19 03:18:14,857 INFO [train.py:885] (0/2) Epoch 25, batch 2850, loss[loss=0.1911, simple_loss=0.2657, pruned_loss=0.0583, over 13889.00 frames. utt_duration=806.6 frames, utt_pad_proportion=0.06106, over 69.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3448, pruned_loss=0.1008, over 2779507.98 frames. utt_duration=256.3 frames, utt_pad_proportion=0.07213, over 43628.19 utterances.], batch size: 69, lr: 1.89e-04
+2022-09-19 03:18:44,322 INFO [train.py:885] (0/2) Epoch 25, batch 2900, loss[loss=0.2801, simple_loss=0.3479, pruned_loss=0.1061, over 14262.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04469, over 141.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3421, pruned_loss=0.0992, over 2783718.87 frames. utt_duration=260.2 frames, utt_pad_proportion=0.0699, over 43037.32 utterances.], batch size: 141, lr: 1.89e-04
+2022-09-19 03:19:14,048 INFO [train.py:885] (0/2) Epoch 25, batch 2950, loss[loss=0.3508, simple_loss=0.4558, pruned_loss=0.1229, over 13162.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3462, pruned_loss=0.1008, over 2780814.90 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07179, over 45089.38 utterances.], batch size: 653, lr: 1.89e-04
+2022-09-19 03:19:43,454 INFO [train.py:885] (0/2) Epoch 25, batch 3000, loss[loss=0.1983, simple_loss=0.2716, pruned_loss=0.06247, over 13983.00 frames. utt_duration=709.7 frames, utt_pad_proportion=0.06128, over 79.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3475, pruned_loss=0.1015, over 2778542.99 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07197, over 45533.04 utterances.], batch size: 79, lr: 1.89e-04
+2022-09-19 03:19:43,456 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 03:19:48,133 INFO [train.py:914] (0/2) Epoch 25, validation: loss=0.1934, simple_loss=0.2732, pruned_loss=0.05678, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 03:20:18,140 INFO [train.py:885] (0/2) Epoch 25, batch 3050, loss[loss=0.3123, simple_loss=0.4151, pruned_loss=0.1047, over 13603.00 frames. utt_duration=98.5 frames, utt_pad_proportion=0.07942, over 560.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3466, pruned_loss=0.1011, over 2778723.93 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07173, over 45343.26 utterances.], batch size: 560, lr: 1.89e-04
+2022-09-19 03:20:47,413 INFO [train.py:885] (0/2) Epoch 25, batch 3100, loss[loss=0.1681, simple_loss=0.2596, pruned_loss=0.03827, over 13878.00 frames. utt_duration=806 frames, utt_pad_proportion=0.06172, over 69.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3483, pruned_loss=0.1014, over 2778950.77 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07371, over 46431.62 utterances.], batch size: 69, lr: 1.89e-04
+2022-09-19 03:21:17,131 INFO [train.py:885] (0/2) Epoch 25, batch 3150, loss[loss=0.241, simple_loss=0.3106, pruned_loss=0.08573, over 14143.00 frames. utt_duration=578.7 frames, utt_pad_proportion=0.05139, over 98.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3475, pruned_loss=0.1014, over 2782059.02 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07251, over 46059.85 utterances.], batch size: 98, lr: 1.89e-04
+2022-09-19 03:21:46,294 INFO [train.py:885] (0/2) Epoch 25, batch 3200, loss[loss=0.1899, simple_loss=0.255, pruned_loss=0.06236, over 13780.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.0765, over 42.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3443, pruned_loss=0.09993, over 2781038.83 frames. utt_duration=248 frames, utt_pad_proportion=0.07205, over 45121.08 utterances.], batch size: 42, lr: 1.89e-04
+2022-09-19 03:22:16,342 INFO [train.py:885] (0/2) Epoch 25, batch 3250, loss[loss=0.2531, simple_loss=0.3358, pruned_loss=0.08524, over 14280.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04028, over 225.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.346, pruned_loss=0.09977, over 2779550.58 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07259, over 47129.42 utterances.], batch size: 225, lr: 1.89e-04
+2022-09-19 03:22:45,695 INFO [train.py:885] (0/2) Epoch 25, batch 3300, loss[loss=0.5006, simple_loss=0.5021, pruned_loss=0.2495, over 14212.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0442, over 306.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3491, pruned_loss=0.1014, over 2782329.35 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07237, over 48026.29 utterances.], batch size: 306, lr: 1.89e-04
+2022-09-19 03:23:15,457 INFO [train.py:885] (0/2) Epoch 25, batch 3350, loss[loss=0.2591, simple_loss=0.3294, pruned_loss=0.09444, over 14267.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04234, over 130.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3498, pruned_loss=0.1023, over 2782491.93 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07127, over 47292.25 utterances.], batch size: 130, lr: 1.89e-04
+2022-09-19 03:23:44,697 INFO [train.py:885] (0/2) Epoch 25, batch 3400, loss[loss=0.1658, simple_loss=0.2275, pruned_loss=0.05206, over 13537.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.0856, over 50.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3492, pruned_loss=0.1026, over 2780770.66 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07284, over 46902.70 utterances.], batch size: 50, lr: 1.89e-04
+2022-09-19 03:24:14,277 INFO [train.py:885] (0/2) Epoch 25, batch 3450, loss[loss=0.2182, simple_loss=0.2871, pruned_loss=0.07471, over 14316.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03886, over 120.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3465, pruned_loss=0.1008, over 2780646.12 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07096, over 46011.12 utterances.], batch size: 120, lr: 1.89e-04
+2022-09-19 03:24:43,843 INFO [train.py:885] (0/2) Epoch 25, batch 3500, loss[loss=0.2603, simple_loss=0.3472, pruned_loss=0.08667, over 14338.00 frames. utt_duration=320.1 frames, utt_pad_proportion=0.03584, over 180.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3451, pruned_loss=0.09993, over 2780623.94 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06939, over 44840.89 utterances.], batch size: 180, lr: 1.89e-04
+2022-09-19 03:25:13,596 INFO [train.py:885] (0/2) Epoch 25, batch 3550, loss[loss=0.223, simple_loss=0.3002, pruned_loss=0.07292, over 14313.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03776, over 130.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3462, pruned_loss=0.1004, over 2781082.68 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07005, over 45356.20 utterances.], batch size: 130, lr: 1.89e-04
+2022-09-19 03:25:42,760 INFO [train.py:885] (0/2) Epoch 25, batch 3600, loss[loss=0.392, simple_loss=0.433, pruned_loss=0.1755, over 14230.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04292, over 306.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3479, pruned_loss=0.1014, over 2780197.78 frames. utt_duration=243 frames, utt_pad_proportion=0.07081, over 46046.96 utterances.], batch size: 306, lr: 1.89e-04
+2022-09-19 03:26:12,439 INFO [train.py:885] (0/2) Epoch 25, batch 3650, loss[loss=0.2025, simple_loss=0.2834, pruned_loss=0.06078, over 13747.00 frames. utt_duration=1101 frames, utt_pad_proportion=0.07389, over 50.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3496, pruned_loss=0.102, over 2780794.97 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07094, over 46425.06 utterances.], batch size: 50, lr: 1.89e-04
+2022-09-19 03:26:41,794 INFO [train.py:885] (0/2) Epoch 25, batch 3700, loss[loss=0.3161, simple_loss=0.3821, pruned_loss=0.1251, over 14337.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03852, over 262.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3479, pruned_loss=0.1009, over 2777851.04 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07247, over 46999.52 utterances.], batch size: 262, lr: 1.89e-04
+2022-09-19 03:27:11,288 INFO [train.py:885] (0/2) Epoch 25, batch 3750, loss[loss=0.5783, simple_loss=0.6396, pruned_loss=0.2585, over 12442.00 frames. utt_duration=63.02 frames, utt_pad_proportion=0.1484, over 810.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3484, pruned_loss=0.1011, over 2779567.43 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0727, over 46668.10 utterances.], batch size: 810, lr: 1.89e-04
+2022-09-19 03:27:41,017 INFO [train.py:885] (0/2) Epoch 25, batch 3800, loss[loss=0.2847, simple_loss=0.3489, pruned_loss=0.1103, over 14373.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03708, over 167.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3492, pruned_loss=0.101, over 2779668.25 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07312, over 47281.59 utterances.], batch size: 167, lr: 1.89e-04
+2022-09-19 03:28:11,124 INFO [train.py:885] (0/2) Epoch 25, batch 3850, loss[loss=0.2415, simple_loss=0.3176, pruned_loss=0.08276, over 14342.00 frames. utt_duration=479.5 frames, utt_pad_proportion=0.03713, over 120.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.35, pruned_loss=0.1015, over 2779950.66 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07221, over 47434.90 utterances.], batch size: 120, lr: 1.89e-04
+2022-09-19 03:28:40,805 INFO [train.py:885] (0/2) Epoch 25, batch 3900, loss[loss=0.2736, simple_loss=0.3597, pruned_loss=0.0937, over 14250.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.0416, over 225.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3488, pruned_loss=0.1017, over 2782637.52 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07029, over 46526.60 utterances.], batch size: 225, lr: 1.89e-04
+2022-09-19 03:29:09,880 INFO [train.py:885] (0/2) Epoch 25, batch 3950, loss[loss=0.2797, simple_loss=0.359, pruned_loss=0.1002, over 14397.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03111, over 244.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3461, pruned_loss=0.1001, over 2783628.36 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06915, over 45518.43 utterances.], batch size: 244, lr: 1.89e-04
+2022-09-19 03:29:39,718 INFO [train.py:885] (0/2) Epoch 25, batch 4000, loss[loss=0.1606, simple_loss=0.2317, pruned_loss=0.04479, over 13221.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.09823, over 41.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3457, pruned_loss=0.09991, over 2778238.01 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07168, over 45736.42 utterances.], batch size: 41, lr: 1.89e-04
+2022-09-19 03:30:09,133 INFO [train.py:885] (0/2) Epoch 25, batch 4050, loss[loss=0.1759, simple_loss=0.2394, pruned_loss=0.0562, over 13981.00 frames. utt_duration=800.4 frames, utt_pad_proportion=0.06601, over 70.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3458, pruned_loss=0.09971, over 2780014.90 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07067, over 45959.01 utterances.], batch size: 70, lr: 1.89e-04
+2022-09-19 03:30:38,706 INFO [train.py:885] (0/2) Epoch 25, batch 4100, loss[loss=0.2793, simple_loss=0.3556, pruned_loss=0.1015, over 14267.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04122, over 225.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3464, pruned_loss=0.1002, over 2783013.16 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07107, over 45803.29 utterances.], batch size: 225, lr: 1.89e-04
+2022-09-19 03:31:07,402 INFO [train.py:885] (0/2) Epoch 25, batch 4150, loss[loss=0.2998, simple_loss=0.3675, pruned_loss=0.1161, over 14299.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03839, over 180.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3448, pruned_loss=0.09976, over 2780136.90 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07099, over 44608.14 utterances.], batch size: 180, lr: 1.89e-04
+2022-09-19 03:31:36,981 INFO [train.py:885] (0/2) Epoch 25, batch 4200, loss[loss=0.276, simple_loss=0.3606, pruned_loss=0.09572, over 14347.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03698, over 262.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3486, pruned_loss=0.1017, over 2777698.85 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07316, over 46208.90 utterances.], batch size: 262, lr: 1.89e-04
+2022-09-19 03:32:06,826 INFO [train.py:885] (0/2) Epoch 25, batch 4250, loss[loss=0.2474, simple_loss=0.3308, pruned_loss=0.082, over 14308.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04076, over 154.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3495, pruned_loss=0.1021, over 2779222.09 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07316, over 46205.10 utterances.], batch size: 154, lr: 1.88e-04
+2022-09-19 03:32:36,320 INFO [train.py:885] (0/2) Epoch 25, batch 4300, loss[loss=0.3043, simple_loss=0.3965, pruned_loss=0.1061, over 13725.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07443, over 411.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3503, pruned_loss=0.1029, over 2784858.15 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07034, over 45814.72 utterances.], batch size: 411, lr: 1.88e-04
+2022-09-19 03:33:06,054 INFO [train.py:885] (0/2) Epoch 25, batch 4350, loss[loss=0.2161, simple_loss=0.2944, pruned_loss=0.06887, over 14291.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04028, over 120.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3475, pruned_loss=0.1014, over 2781687.20 frames. utt_duration=248 frames, utt_pad_proportion=0.07059, over 45141.62 utterances.], batch size: 120, lr: 1.88e-04
+2022-09-19 03:33:37,791 INFO [train.py:885] (0/2) Epoch 25, batch 4400, loss[loss=0.3625, simple_loss=0.4456, pruned_loss=0.1396, over 13630.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08103, over 477.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3462, pruned_loss=0.1005, over 2778482.12 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07078, over 45178.93 utterances.], batch size: 477, lr: 1.88e-04
+2022-09-19 03:34:13,158 INFO [train.py:885] (0/2) Epoch 25, batch 4450, loss[loss=0.4139, simple_loss=0.4454, pruned_loss=0.1912, over 14355.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03586, over 195.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3496, pruned_loss=0.1024, over 2779606.88 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07242, over 46460.15 utterances.], batch size: 195, lr: 1.88e-04
+2022-09-19 03:34:42,232 INFO [train.py:885] (0/2) Epoch 25, batch 4500, loss[loss=0.1921, simple_loss=0.2716, pruned_loss=0.05627, over 14033.00 frames. utt_duration=712 frames, utt_pad_proportion=0.05822, over 79.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3485, pruned_loss=0.1016, over 2778607.98 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07299, over 46085.58 utterances.], batch size: 79, lr: 1.88e-04
+2022-09-19 03:35:11,551 INFO [train.py:885] (0/2) Epoch 25, batch 4550, loss[loss=0.2328, simple_loss=0.3046, pruned_loss=0.0805, over 14002.00 frames. utt_duration=710.1 frames, utt_pad_proportion=0.05942, over 79.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3461, pruned_loss=0.1005, over 2779521.66 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07059, over 44672.30 utterances.], batch size: 79, lr: 1.88e-04
+2022-09-19 03:35:40,761 INFO [train.py:885] (0/2) Epoch 25, batch 4600, loss[loss=0.1869, simple_loss=0.2618, pruned_loss=0.05596, over 13306.00 frames. utt_duration=1615 frames, utt_pad_proportion=0.1074, over 33.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3454, pruned_loss=0.1013, over 2778205.66 frames. utt_duration=259 frames, utt_pad_proportion=0.06904, over 43146.47 utterances.], batch size: 33, lr: 1.88e-04
+2022-09-19 03:36:10,964 INFO [train.py:885] (0/2) Epoch 25, batch 4650, loss[loss=0.3077, simple_loss=0.3782, pruned_loss=0.1186, over 14325.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03868, over 262.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3502, pruned_loss=0.103, over 2782847.68 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06888, over 45027.67 utterances.], batch size: 262, lr: 1.88e-04
+2022-09-19 03:36:40,076 INFO [train.py:885] (0/2) Epoch 25, batch 4700, loss[loss=0.2055, simple_loss=0.2768, pruned_loss=0.06715, over 14136.00 frames. utt_duration=636.7 frames, utt_pad_proportion=0.05116, over 89.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3494, pruned_loss=0.1026, over 2784324.83 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06982, over 44957.13 utterances.], batch size: 89, lr: 1.88e-04
+2022-09-19 03:37:09,906 INFO [train.py:885] (0/2) Epoch 25, batch 4750, loss[loss=0.3179, simple_loss=0.3732, pruned_loss=0.1313, over 14291.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03963, over 180.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3499, pruned_loss=0.1026, over 2780480.10 frames. utt_duration=246 frames, utt_pad_proportion=0.07103, over 45493.19 utterances.], batch size: 180, lr: 1.88e-04
+2022-09-19 03:37:38,913 INFO [train.py:885] (0/2) Epoch 25, batch 4800, loss[loss=0.308, simple_loss=0.3755, pruned_loss=0.1203, over 14306.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04, over 262.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3477, pruned_loss=0.1007, over 2778026.80 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07083, over 45002.18 utterances.], batch size: 262, lr: 1.88e-04
+2022-09-19 03:38:08,819 INFO [train.py:885] (0/2) Epoch 25, batch 4850, loss[loss=0.2743, simple_loss=0.3522, pruned_loss=0.09823, over 14275.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04362, over 141.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3479, pruned_loss=0.101, over 2773247.62 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07165, over 45260.45 utterances.], batch size: 141, lr: 1.88e-04
+2022-09-19 03:38:37,500 INFO [train.py:885] (0/2) Epoch 25, batch 4900, loss[loss=0.3647, simple_loss=0.4176, pruned_loss=0.1559, over 14253.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04197, over 335.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3442, pruned_loss=0.09959, over 2774951.26 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06943, over 43882.25 utterances.], batch size: 335, lr: 1.88e-04
+2022-09-19 03:39:07,030 INFO [train.py:885] (0/2) Epoch 25, batch 4950, loss[loss=0.2775, simple_loss=0.3529, pruned_loss=0.101, over 14341.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03678, over 195.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3451, pruned_loss=0.09945, over 2775397.76 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06913, over 44820.73 utterances.], batch size: 195, lr: 1.88e-04
+2022-09-19 03:39:44,908 INFO [train.py:885] (0/2) Epoch 25, batch 5000, loss[loss=0.2525, simple_loss=0.3394, pruned_loss=0.08277, over 14300.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.04227, over 167.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3514, pruned_loss=0.1024, over 2776358.95 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07264, over 47203.28 utterances.], batch size: 167, lr: 1.88e-04
+2022-09-19 03:40:14,885 INFO [train.py:885] (0/2) Epoch 25, batch 5050, loss[loss=0.2245, simple_loss=0.2846, pruned_loss=0.08224, over 13586.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08049, over 50.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3495, pruned_loss=0.1017, over 2776797.36 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07161, over 46505.56 utterances.], batch size: 50, lr: 1.88e-04
+2022-09-19 03:40:44,026 INFO [train.py:885] (0/2) Epoch 25, batch 5100, loss[loss=0.2689, simple_loss=0.3449, pruned_loss=0.0964, over 14325.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03804, over 195.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3502, pruned_loss=0.1025, over 2776486.84 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07302, over 46912.48 utterances.], batch size: 195, lr: 1.88e-04
+2022-09-19 03:40:56,158 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-308000.pt
+2022-09-19 03:41:13,942 INFO [train.py:885] (0/2) Epoch 25, batch 5150, loss[loss=0.2503, simple_loss=0.3228, pruned_loss=0.08885, over 14179.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04478, over 109.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3499, pruned_loss=0.1018, over 2781688.67 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07153, over 46812.29 utterances.], batch size: 109, lr: 1.88e-04
+2022-09-19 03:41:44,658 INFO [train.py:885] (0/2) Epoch 25, batch 5200, loss[loss=0.1472, simple_loss=0.2073, pruned_loss=0.04356, over 12684.00 frames. utt_duration=2115 frames, utt_pad_proportion=0.1532, over 24.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3518, pruned_loss=0.1034, over 2774752.25 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07546, over 47840.90 utterances.], batch size: 24, lr: 1.88e-04
+2022-09-19 03:42:13,864 INFO [train.py:885] (0/2) Epoch 25, batch 5250, loss[loss=0.2924, simple_loss=0.3662, pruned_loss=0.1093, over 14327.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03888, over 262.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3492, pruned_loss=0.102, over 2781169.57 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07107, over 46039.33 utterances.], batch size: 262, lr: 1.88e-04
+2022-09-19 03:42:42,746 INFO [train.py:885] (0/2) Epoch 25, batch 5300, loss[loss=0.2175, simple_loss=0.2805, pruned_loss=0.07726, over 14048.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05608, over 79.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3462, pruned_loss=0.1009, over 2788438.73 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06757, over 44503.25 utterances.], batch size: 79, lr: 1.88e-04
+2022-09-19 03:43:13,058 INFO [train.py:885] (0/2) Epoch 25, batch 5350, loss[loss=0.194, simple_loss=0.2694, pruned_loss=0.05927, over 14192.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04734, over 89.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3505, pruned_loss=0.1025, over 2785035.24 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07129, over 46731.72 utterances.], batch size: 89, lr: 1.88e-04
+2022-09-19 03:43:42,734 INFO [train.py:885] (0/2) Epoch 25, batch 5400, loss[loss=0.178, simple_loss=0.2385, pruned_loss=0.05878, over 14093.00 frames. utt_duration=806.8 frames, utt_pad_proportion=0.05743, over 70.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3511, pruned_loss=0.1031, over 2788349.32 frames. utt_duration=241.6 frames, utt_pad_proportion=0.0681, over 46446.60 utterances.], batch size: 70, lr: 1.88e-04
+2022-09-19 03:44:12,744 INFO [train.py:885] (0/2) Epoch 25, batch 5450, loss[loss=0.3116, simple_loss=0.3849, pruned_loss=0.1191, over 14323.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03797, over 283.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3533, pruned_loss=0.104, over 2786805.08 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07027, over 47645.16 utterances.], batch size: 283, lr: 1.88e-04
+2022-09-19 03:44:41,890 INFO [train.py:885] (0/2) Epoch 25, batch 5500, loss[loss=0.5937, simple_loss=0.6434, pruned_loss=0.272, over 12493.00 frames. utt_duration=63.28 frames, utt_pad_proportion=0.1448, over 810.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3522, pruned_loss=0.1039, over 2786166.92 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07161, over 47386.75 utterances.], batch size: 810, lr: 1.88e-04
+2022-09-19 03:45:11,154 INFO [train.py:885] (0/2) Epoch 25, batch 5550, loss[loss=0.1556, simple_loss=0.2169, pruned_loss=0.04718, over 13407.00 frames. utt_duration=1626 frames, utt_pad_proportion=0.09892, over 33.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3503, pruned_loss=0.1037, over 2785773.41 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07002, over 45896.18 utterances.], batch size: 33, lr: 1.88e-04
+2022-09-19 03:45:40,905 INFO [train.py:885] (0/2) Epoch 25, batch 5600, loss[loss=0.1422, simple_loss=0.1853, pruned_loss=0.04952, over 13124.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1197, over 33.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3525, pruned_loss=0.1047, over 2781832.69 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07179, over 46986.99 utterances.], batch size: 33, lr: 1.88e-04
+2022-09-19 03:46:10,580 INFO [train.py:885] (0/2) Epoch 25, batch 5650, loss[loss=0.2174, simple_loss=0.2848, pruned_loss=0.07501, over 14098.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05276, over 98.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3484, pruned_loss=0.1023, over 2784959.83 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07105, over 45156.62 utterances.], batch size: 98, lr: 1.88e-04
+2022-09-19 03:46:39,580 INFO [train.py:885] (0/2) Epoch 25, batch 5700, loss[loss=0.3836, simple_loss=0.4562, pruned_loss=0.1555, over 13801.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06991, over 411.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3452, pruned_loss=0.09991, over 2784223.85 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07023, over 44200.76 utterances.], batch size: 411, lr: 1.88e-04
+2022-09-19 03:47:09,503 INFO [train.py:885] (0/2) Epoch 25, batch 5750, loss[loss=0.3257, simple_loss=0.3959, pruned_loss=0.1277, over 14301.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.0398, over 262.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3466, pruned_loss=0.1007, over 2785179.72 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06978, over 44678.43 utterances.], batch size: 262, lr: 1.88e-04
+2022-09-19 03:47:38,914 INFO [train.py:885] (0/2) Epoch 25, batch 5800, loss[loss=0.2788, simple_loss=0.3522, pruned_loss=0.1027, over 14342.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03647, over 195.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3496, pruned_loss=0.1015, over 2781808.27 frames. utt_duration=239.8 frames, utt_pad_proportion=0.0727, over 46691.63 utterances.], batch size: 195, lr: 1.88e-04
+2022-09-19 03:48:08,277 INFO [train.py:885] (0/2) Epoch 25, batch 5850, loss[loss=0.3033, simple_loss=0.4, pruned_loss=0.1033, over 13650.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07935, over 477.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3491, pruned_loss=0.1014, over 2779589.73 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07363, over 47115.84 utterances.], batch size: 477, lr: 1.88e-04
+2022-09-19 03:48:38,117 INFO [train.py:885] (0/2) Epoch 25, batch 5900, loss[loss=0.1968, simple_loss=0.2616, pruned_loss=0.06601, over 13708.00 frames. utt_duration=1098 frames, utt_pad_proportion=0.07167, over 50.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3491, pruned_loss=0.1021, over 2774869.01 frames. utt_duration=238.5 frames, utt_pad_proportion=0.0746, over 46837.48 utterances.], batch size: 50, lr: 1.88e-04
+2022-09-19 03:49:07,442 INFO [train.py:885] (0/2) Epoch 25, batch 5950, loss[loss=0.2926, simple_loss=0.3634, pruned_loss=0.1108, over 14293.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.04238, over 167.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3521, pruned_loss=0.1039, over 2774020.82 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07426, over 47609.10 utterances.], batch size: 167, lr: 1.88e-04
+2022-09-19 03:49:37,104 INFO [train.py:885] (0/2) Epoch 25, batch 6000, loss[loss=0.2744, simple_loss=0.3496, pruned_loss=0.09959, over 14356.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03331, over 244.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.353, pruned_loss=0.1047, over 2777654.25 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07388, over 47710.14 utterances.], batch size: 244, lr: 1.88e-04
+2022-09-19 03:49:37,106 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 03:49:41,278 INFO [train.py:914] (0/2) Epoch 25, validation: loss=0.1909, simple_loss=0.2711, pruned_loss=0.05533, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 03:50:11,267 INFO [train.py:885] (0/2) Epoch 25, batch 6050, loss[loss=0.3163, simple_loss=0.3845, pruned_loss=0.124, over 14248.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04231, over 335.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3509, pruned_loss=0.1037, over 2776638.67 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0738, over 47122.22 utterances.], batch size: 335, lr: 1.88e-04
+2022-09-19 03:50:40,265 INFO [train.py:885] (0/2) Epoch 25, batch 6100, loss[loss=0.2337, simple_loss=0.3037, pruned_loss=0.08188, over 13816.00 frames. utt_duration=922.7 frames, utt_pad_proportion=0.07266, over 60.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3487, pruned_loss=0.1031, over 2778868.81 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07177, over 45670.49 utterances.], batch size: 60, lr: 1.88e-04
+2022-09-19 03:51:09,915 INFO [train.py:885] (0/2) Epoch 25, batch 6150, loss[loss=0.157, simple_loss=0.2223, pruned_loss=0.0459, over 13288.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09159, over 41.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3503, pruned_loss=0.1032, over 2785656.02 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06831, over 46046.05 utterances.], batch size: 41, lr: 1.88e-04
+2022-09-19 03:51:40,009 INFO [train.py:885] (0/2) Epoch 25, batch 6200, loss[loss=0.2737, simple_loss=0.3637, pruned_loss=0.0919, over 14012.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05441, over 365.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3516, pruned_loss=0.1043, over 2784343.01 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06912, over 46236.38 utterances.], batch size: 365, lr: 1.88e-04
+2022-09-19 03:52:09,824 INFO [train.py:885] (0/2) Epoch 25, batch 6250, loss[loss=0.4067, simple_loss=0.4418, pruned_loss=0.1858, over 14204.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04443, over 306.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3515, pruned_loss=0.1042, over 2780660.64 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0697, over 46496.90 utterances.], batch size: 306, lr: 1.88e-04
+2022-09-19 03:52:39,170 INFO [train.py:885] (0/2) Epoch 25, batch 6300, loss[loss=0.2099, simple_loss=0.2849, pruned_loss=0.06749, over 14049.00 frames. utt_duration=574.9 frames, utt_pad_proportion=0.05753, over 98.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3506, pruned_loss=0.1027, over 2782314.18 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07117, over 46362.82 utterances.], batch size: 98, lr: 1.88e-04
+2022-09-19 03:53:08,483 INFO [train.py:885] (0/2) Epoch 25, batch 6350, loss[loss=0.2289, simple_loss=0.2963, pruned_loss=0.08076, over 14327.00 frames. utt_duration=522.6 frames, utt_pad_proportion=0.04118, over 110.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3503, pruned_loss=0.1034, over 2783715.22 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07072, over 46413.27 utterances.], batch size: 110, lr: 1.88e-04
+2022-09-19 03:53:38,228 INFO [train.py:885] (0/2) Epoch 25, batch 6400, loss[loss=0.3473, simple_loss=0.4034, pruned_loss=0.1456, over 14212.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04423, over 335.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3486, pruned_loss=0.1019, over 2787201.24 frames. utt_duration=242.8 frames, utt_pad_proportion=0.06834, over 46198.22 utterances.], batch size: 335, lr: 1.88e-04
+2022-09-19 03:54:07,576 INFO [train.py:885] (0/2) Epoch 25, batch 6450, loss[loss=0.1916, simple_loss=0.2677, pruned_loss=0.05769, over 14255.00 frames. utt_duration=642.2 frames, utt_pad_proportion=0.04298, over 89.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.347, pruned_loss=0.1013, over 2787678.32 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06959, over 45143.74 utterances.], batch size: 89, lr: 1.88e-04
+2022-09-19 03:54:36,801 INFO [train.py:885] (0/2) Epoch 25, batch 6500, loss[loss=0.2869, simple_loss=0.3626, pruned_loss=0.1056, over 14360.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03546, over 210.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3461, pruned_loss=0.1007, over 2784209.46 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06958, over 44906.25 utterances.], batch size: 210, lr: 1.88e-04
+2022-09-19 03:55:06,612 INFO [train.py:885] (0/2) Epoch 25, batch 6550, loss[loss=0.2329, simple_loss=0.308, pruned_loss=0.0789, over 14321.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03837, over 120.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.348, pruned_loss=0.1015, over 2781827.15 frames. utt_duration=242.6 frames, utt_pad_proportion=0.0706, over 46154.97 utterances.], batch size: 120, lr: 1.88e-04
+2022-09-19 03:55:36,238 INFO [train.py:885] (0/2) Epoch 25, batch 6600, loss[loss=0.2952, simple_loss=0.3621, pruned_loss=0.1142, over 14350.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03411, over 244.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3507, pruned_loss=0.1021, over 2777689.03 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07513, over 47929.54 utterances.], batch size: 244, lr: 1.88e-04
+2022-09-19 03:56:05,753 INFO [train.py:885] (0/2) Epoch 25, batch 6650, loss[loss=0.1627, simple_loss=0.2309, pruned_loss=0.04725, over 13974.00 frames. utt_duration=799.9 frames, utt_pad_proportion=0.06335, over 70.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3492, pruned_loss=0.1012, over 2776315.92 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07478, over 47592.07 utterances.], batch size: 70, lr: 1.88e-04
+2022-09-19 03:56:35,540 INFO [train.py:885] (0/2) Epoch 25, batch 6700, loss[loss=0.3341, simple_loss=0.3925, pruned_loss=0.1379, over 14237.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0432, over 306.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3508, pruned_loss=0.1023, over 2781086.59 frames. utt_duration=234 frames, utt_pad_proportion=0.07166, over 47832.31 utterances.], batch size: 306, lr: 1.88e-04
+2022-09-19 03:57:04,799 INFO [train.py:885] (0/2) Epoch 25, batch 6750, loss[loss=0.2026, simple_loss=0.2632, pruned_loss=0.07103, over 13862.00 frames. utt_duration=925.5 frames, utt_pad_proportion=0.06983, over 60.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3465, pruned_loss=0.1005, over 2779380.39 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07162, over 45593.34 utterances.], batch size: 60, lr: 1.88e-04
+2022-09-19 03:57:34,598 INFO [train.py:885] (0/2) Epoch 25, batch 6800, loss[loss=0.3114, simple_loss=0.3901, pruned_loss=0.1164, over 14011.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05518, over 365.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3447, pruned_loss=0.0988, over 2777583.65 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07049, over 45378.33 utterances.], batch size: 365, lr: 1.88e-04
+2022-09-19 03:58:03,727 INFO [train.py:885] (0/2) Epoch 25, batch 6850, loss[loss=0.5099, simple_loss=0.5662, pruned_loss=0.2269, over 13131.00 frames. utt_duration=82.01 frames, utt_pad_proportion=0.1086, over 653.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3495, pruned_loss=0.1015, over 2783953.99 frames. utt_duration=241.5 frames, utt_pad_proportion=0.06928, over 46392.98 utterances.], batch size: 653, lr: 1.88e-04
+2022-09-19 03:58:33,472 INFO [train.py:885] (0/2) Epoch 25, batch 6900, loss[loss=0.2529, simple_loss=0.3149, pruned_loss=0.09543, over 14202.00 frames. utt_duration=639.9 frames, utt_pad_proportion=0.04633, over 89.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3485, pruned_loss=0.1013, over 2789079.92 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06729, over 45760.37 utterances.], batch size: 89, lr: 1.88e-04
+2022-09-19 03:59:03,296 INFO [train.py:885] (0/2) Epoch 25, batch 6950, loss[loss=0.3728, simple_loss=0.4246, pruned_loss=0.1605, over 14235.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04329, over 335.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3455, pruned_loss=0.0997, over 2784337.58 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06773, over 45195.58 utterances.], batch size: 335, lr: 1.88e-04
+2022-09-19 03:59:33,043 INFO [train.py:885] (0/2) Epoch 25, batch 7000, loss[loss=0.2331, simple_loss=0.2964, pruned_loss=0.08488, over 14094.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.05311, over 98.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3479, pruned_loss=0.1014, over 2784032.03 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06829, over 45821.29 utterances.], batch size: 98, lr: 1.88e-04
+2022-09-19 04:00:02,312 INFO [train.py:885] (0/2) Epoch 25, batch 7050, loss[loss=0.1925, simple_loss=0.2657, pruned_loss=0.05964, over 14158.00 frames. utt_duration=718.2 frames, utt_pad_proportion=0.0487, over 79.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3445, pruned_loss=0.09937, over 2782666.07 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06875, over 45342.62 utterances.], batch size: 79, lr: 1.88e-04
+2022-09-19 04:00:31,192 INFO [train.py:885] (0/2) Epoch 25, batch 7100, loss[loss=0.2866, simple_loss=0.3565, pruned_loss=0.1084, over 14315.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03849, over 195.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3436, pruned_loss=0.09838, over 2780313.21 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07087, over 45511.56 utterances.], batch size: 195, lr: 1.88e-04
+2022-09-19 04:01:00,924 INFO [train.py:885] (0/2) Epoch 25, batch 7150, loss[loss=0.1913, simple_loss=0.2644, pruned_loss=0.05908, over 13318.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.0936, over 26.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.346, pruned_loss=0.09973, over 2781407.37 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07152, over 46390.78 utterances.], batch size: 26, lr: 1.88e-04
+2022-09-19 04:01:29,911 INFO [train.py:885] (0/2) Epoch 25, batch 7200, loss[loss=0.2439, simple_loss=0.3141, pruned_loss=0.08685, over 14296.00 frames. utt_duration=478 frames, utt_pad_proportion=0.03815, over 120.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3413, pruned_loss=0.09777, over 2782277.01 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07001, over 44043.62 utterances.], batch size: 120, lr: 1.88e-04
+2022-09-19 04:01:59,598 INFO [train.py:885] (0/2) Epoch 25, batch 7250, loss[loss=0.1997, simple_loss=0.2505, pruned_loss=0.07444, over 13419.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.09364, over 50.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3397, pruned_loss=0.09699, over 2780681.39 frames. utt_duration=257.4 frames, utt_pad_proportion=0.0703, over 43466.32 utterances.], batch size: 50, lr: 1.88e-04
+2022-09-19 04:02:29,234 INFO [train.py:885] (0/2) Epoch 25, batch 7300, loss[loss=0.2344, simple_loss=0.3067, pruned_loss=0.08107, over 14295.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04068, over 120.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3425, pruned_loss=0.09832, over 2784094.99 frames. utt_duration=250 frames, utt_pad_proportion=0.06962, over 44810.63 utterances.], batch size: 120, lr: 1.88e-04
+2022-09-19 04:02:58,465 INFO [train.py:885] (0/2) Epoch 25, batch 7350, loss[loss=0.3193, simple_loss=0.3939, pruned_loss=0.1223, over 14309.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03912, over 283.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3466, pruned_loss=0.1012, over 2785852.39 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07005, over 45147.33 utterances.], batch size: 283, lr: 1.88e-04
+2022-09-19 04:03:28,513 INFO [train.py:885] (0/2) Epoch 25, batch 7400, loss[loss=0.3114, simple_loss=0.382, pruned_loss=0.1204, over 14216.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04438, over 225.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.348, pruned_loss=0.1017, over 2786650.44 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07034, over 45525.69 utterances.], batch size: 225, lr: 1.88e-04
+2022-09-19 04:03:57,619 INFO [train.py:885] (0/2) Epoch 25, batch 7450, loss[loss=0.2539, simple_loss=0.3309, pruned_loss=0.08851, over 14300.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03881, over 180.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.347, pruned_loss=0.1012, over 2789543.95 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06868, over 45161.87 utterances.], batch size: 180, lr: 1.88e-04
+2022-09-19 04:04:27,215 INFO [train.py:885] (0/2) Epoch 25, batch 7500, loss[loss=0.245, simple_loss=0.3264, pruned_loss=0.08177, over 14316.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03763, over 180.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3495, pruned_loss=0.1024, over 2789002.09 frames. utt_duration=244.4 frames, utt_pad_proportion=0.0681, over 45927.57 utterances.], batch size: 180, lr: 1.88e-04
+2022-09-19 04:04:56,814 INFO [train.py:885] (0/2) Epoch 25, batch 7550, loss[loss=0.1927, simple_loss=0.2744, pruned_loss=0.05545, over 12637.00 frames. utt_duration=2023 frames, utt_pad_proportion=0.1448, over 25.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.349, pruned_loss=0.1017, over 2787657.23 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06771, over 45689.20 utterances.], batch size: 25, lr: 1.87e-04
+2022-09-19 04:05:26,035 INFO [train.py:885] (0/2) Epoch 25, batch 7600, loss[loss=0.1712, simple_loss=0.2414, pruned_loss=0.05047, over 13581.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.0873, over 50.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3466, pruned_loss=0.1005, over 2788944.36 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06741, over 45131.93 utterances.], batch size: 50, lr: 1.87e-04
+2022-09-19 04:05:56,151 INFO [train.py:885] (0/2) Epoch 25, batch 7650, loss[loss=0.234, simple_loss=0.3117, pruned_loss=0.07809, over 14250.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04314, over 141.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3477, pruned_loss=0.1013, over 2785748.35 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06864, over 46247.56 utterances.], batch size: 141, lr: 1.87e-04
+2022-09-19 04:06:25,652 INFO [train.py:885] (0/2) Epoch 25, batch 7700, loss[loss=0.2808, simple_loss=0.3453, pruned_loss=0.1081, over 14273.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04142, over 120.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3477, pruned_loss=0.1016, over 2781153.87 frames. utt_duration=241 frames, utt_pad_proportion=0.07063, over 46438.35 utterances.], batch size: 120, lr: 1.87e-04
+2022-09-19 04:06:54,469 INFO [train.py:885] (0/2) Epoch 25, batch 7750, loss[loss=0.2178, simple_loss=0.2951, pruned_loss=0.07023, over 14177.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.0447, over 109.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3454, pruned_loss=0.09996, over 2780485.05 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06987, over 45598.40 utterances.], batch size: 109, lr: 1.87e-04
+2022-09-19 04:07:24,887 INFO [train.py:885] (0/2) Epoch 25, batch 7800, loss[loss=0.4369, simple_loss=0.5382, pruned_loss=0.1678, over 12573.00 frames. utt_duration=63.6 frames, utt_pad_proportion=0.1406, over 811.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3482, pruned_loss=0.1014, over 2781614.08 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07215, over 46613.34 utterances.], batch size: 811, lr: 1.87e-04
+2022-09-19 04:07:53,887 INFO [train.py:885] (0/2) Epoch 25, batch 7850, loss[loss=0.2749, simple_loss=0.3733, pruned_loss=0.0882, over 13718.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07534, over 411.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3477, pruned_loss=0.1012, over 2782758.73 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07018, over 46701.46 utterances.], batch size: 411, lr: 1.87e-04
+2022-09-19 04:08:23,024 INFO [train.py:885] (0/2) Epoch 25, batch 7900, loss[loss=0.2737, simple_loss=0.3521, pruned_loss=0.09764, over 14359.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03519, over 210.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3444, pruned_loss=0.1001, over 2779775.34 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06993, over 44942.13 utterances.], batch size: 210, lr: 1.87e-04
+2022-09-19 04:08:52,954 INFO [train.py:885] (0/2) Epoch 25, batch 7950, loss[loss=0.5075, simple_loss=0.5952, pruned_loss=0.2099, over 12510.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1448, over 810.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.346, pruned_loss=0.1014, over 2777160.86 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07305, over 45539.28 utterances.], batch size: 810, lr: 1.87e-04
+2022-09-19 04:09:21,626 INFO [train.py:885] (0/2) Epoch 25, batch 8000, loss[loss=0.3231, simple_loss=0.3827, pruned_loss=0.1317, over 14273.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04013, over 225.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3429, pruned_loss=0.1003, over 2780887.80 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06974, over 43793.48 utterances.], batch size: 225, lr: 1.87e-04
+2022-09-19 04:09:51,118 INFO [train.py:885] (0/2) Epoch 25, batch 8050, loss[loss=0.615, simple_loss=0.6587, pruned_loss=0.2857, over 12493.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 811.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3444, pruned_loss=0.1008, over 2785037.72 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06893, over 43897.55 utterances.], batch size: 811, lr: 1.87e-04
+2022-09-19 04:10:21,026 INFO [train.py:885] (0/2) Epoch 25, batch 8100, loss[loss=0.2157, simple_loss=0.2937, pruned_loss=0.06881, over 14112.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05181, over 98.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3472, pruned_loss=0.1013, over 2785279.02 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07026, over 45625.58 utterances.], batch size: 98, lr: 1.87e-04
+2022-09-19 04:10:50,563 INFO [train.py:885] (0/2) Epoch 25, batch 8150, loss[loss=0.3804, simple_loss=0.4508, pruned_loss=0.155, over 13950.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.059, over 365.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3487, pruned_loss=0.1023, over 2785109.75 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06931, over 46015.03 utterances.], batch size: 365, lr: 1.87e-04
+2022-09-19 04:11:19,667 INFO [train.py:885] (0/2) Epoch 25, batch 8200, loss[loss=0.2822, simple_loss=0.3581, pruned_loss=0.1032, over 14334.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.0373, over 195.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3421, pruned_loss=0.0991, over 2778316.06 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07167, over 43761.17 utterances.], batch size: 195, lr: 1.87e-04
+2022-09-19 04:11:49,537 INFO [train.py:885] (0/2) Epoch 25, batch 8250, loss[loss=0.2585, simple_loss=0.3519, pruned_loss=0.08259, over 14318.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03945, over 262.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3451, pruned_loss=0.1004, over 2777488.65 frames. utt_duration=247.3 frames, utt_pad_proportion=0.0716, over 45199.08 utterances.], batch size: 262, lr: 1.87e-04
+2022-09-19 04:12:18,749 INFO [train.py:885] (0/2) Epoch 25, batch 8300, loss[loss=0.1664, simple_loss=0.2334, pruned_loss=0.04972, over 12966.00 frames. utt_duration=1573 frames, utt_pad_proportion=0.1293, over 33.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3468, pruned_loss=0.1011, over 2778350.40 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07272, over 45846.14 utterances.], batch size: 33, lr: 1.87e-04
+2022-09-19 04:12:48,476 INFO [train.py:885] (0/2) Epoch 25, batch 8350, loss[loss=0.1761, simple_loss=0.2319, pruned_loss=0.06016, over 12036.00 frames. utt_duration=2008 frames, utt_pad_proportion=0.1866, over 24.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3467, pruned_loss=0.1006, over 2776620.73 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07358, over 45908.79 utterances.], batch size: 24, lr: 1.87e-04
+2022-09-19 04:13:17,697 INFO [train.py:885] (0/2) Epoch 25, batch 8400, loss[loss=0.1991, simple_loss=0.2538, pruned_loss=0.07218, over 13795.00 frames. utt_duration=921.3 frames, utt_pad_proportion=0.06845, over 60.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3453, pruned_loss=0.1004, over 2777120.00 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07321, over 45337.32 utterances.], batch size: 60, lr: 1.87e-04
+2022-09-19 04:13:47,384 INFO [train.py:885] (0/2) Epoch 25, batch 8450, loss[loss=0.2352, simple_loss=0.3203, pruned_loss=0.07504, over 14292.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.0415, over 154.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3447, pruned_loss=0.0996, over 2776536.81 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07248, over 45375.51 utterances.], batch size: 154, lr: 1.87e-04
+2022-09-19 04:14:17,087 INFO [train.py:885] (0/2) Epoch 25, batch 8500, loss[loss=0.1894, simple_loss=0.2557, pruned_loss=0.06158, over 12427.00 frames. utt_duration=2072 frames, utt_pad_proportion=0.1457, over 24.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3426, pruned_loss=0.0991, over 2776106.21 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07191, over 43846.01 utterances.], batch size: 24, lr: 1.87e-04
+2022-09-19 04:14:46,259 INFO [train.py:885] (0/2) Epoch 25, batch 8550, loss[loss=0.2043, simple_loss=0.2654, pruned_loss=0.07157, over 13158.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.1215, over 26.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3444, pruned_loss=0.09942, over 2774627.95 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07233, over 45557.88 utterances.], batch size: 26, lr: 1.87e-04
+2022-09-19 04:15:16,609 INFO [train.py:885] (0/2) Epoch 25, batch 8600, loss[loss=0.293, simple_loss=0.3723, pruned_loss=0.1069, over 14202.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04505, over 306.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.347, pruned_loss=0.1008, over 2775065.73 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07368, over 46816.28 utterances.], batch size: 306, lr: 1.87e-04
+2022-09-19 04:15:45,746 INFO [train.py:885] (0/2) Epoch 25, batch 8650, loss[loss=0.2168, simple_loss=0.2824, pruned_loss=0.07565, over 13783.00 frames. utt_duration=800.6 frames, utt_pad_proportion=0.06691, over 69.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3463, pruned_loss=0.1005, over 2779977.87 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07062, over 45758.00 utterances.], batch size: 69, lr: 1.87e-04
+2022-09-19 04:16:15,291 INFO [train.py:885] (0/2) Epoch 25, batch 8700, loss[loss=0.1627, simple_loss=0.2304, pruned_loss=0.04754, over 13508.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.0794, over 41.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3475, pruned_loss=0.1013, over 2777916.81 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07181, over 46220.07 utterances.], batch size: 41, lr: 1.87e-04
+2022-09-19 04:16:44,786 INFO [train.py:885] (0/2) Epoch 25, batch 8750, loss[loss=0.5041, simple_loss=0.5932, pruned_loss=0.2076, over 12488.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1465, over 811.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3463, pruned_loss=0.1006, over 2776181.34 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07109, over 45683.30 utterances.], batch size: 811, lr: 1.87e-04
+2022-09-19 04:17:14,586 INFO [train.py:885] (0/2) Epoch 25, batch 8800, loss[loss=0.5818, simple_loss=0.6371, pruned_loss=0.2633, over 12459.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1472, over 810.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.35, pruned_loss=0.1022, over 2773572.14 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07438, over 47899.55 utterances.], batch size: 810, lr: 1.87e-04
+2022-09-19 04:17:43,784 INFO [train.py:885] (0/2) Epoch 25, batch 8850, loss[loss=0.2126, simple_loss=0.2878, pruned_loss=0.06873, over 14101.00 frames. utt_duration=635.1 frames, utt_pad_proportion=0.05345, over 89.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3481, pruned_loss=0.1017, over 2772872.19 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07399, over 47026.76 utterances.], batch size: 89, lr: 1.87e-04
+2022-09-19 04:18:13,691 INFO [train.py:885] (0/2) Epoch 25, batch 8900, loss[loss=0.7195, simple_loss=0.7428, pruned_loss=0.3481, over 12513.00 frames. utt_duration=63.37 frames, utt_pad_proportion=0.1437, over 810.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3505, pruned_loss=0.1033, over 2770734.12 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07497, over 47722.48 utterances.], batch size: 810, lr: 1.87e-04
+2022-09-19 04:18:42,914 INFO [train.py:885] (0/2) Epoch 25, batch 8950, loss[loss=0.2774, simple_loss=0.3558, pruned_loss=0.09949, over 14384.00 frames. utt_duration=296.5 frames, utt_pad_proportion=0.03414, over 195.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3473, pruned_loss=0.1009, over 2769829.95 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07553, over 47176.93 utterances.], batch size: 195, lr: 1.87e-04
+2022-09-19 04:19:12,916 INFO [train.py:885] (0/2) Epoch 25, batch 9000, loss[loss=0.1901, simple_loss=0.2729, pruned_loss=0.05362, over 12737.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.136, over 25.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3465, pruned_loss=0.1009, over 2767495.15 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07579, over 46672.28 utterances.], batch size: 25, lr: 1.87e-04
+2022-09-19 04:19:12,918 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 04:19:17,513 INFO [train.py:914] (0/2) Epoch 25, validation: loss=0.1981, simple_loss=0.2778, pruned_loss=0.05918, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 04:19:45,977 INFO [train.py:885] (0/2) Epoch 25, batch 9050, loss[loss=0.2392, simple_loss=0.3028, pruned_loss=0.08782, over 14163.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.04535, over 109.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3454, pruned_loss=0.101, over 2773723.01 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07349, over 44966.41 utterances.], batch size: 109, lr: 1.87e-04
+2022-09-19 04:20:15,766 INFO [train.py:885] (0/2) Epoch 25, batch 9100, loss[loss=0.1947, simple_loss=0.262, pruned_loss=0.06371, over 13791.00 frames. utt_duration=801 frames, utt_pad_proportion=0.06747, over 69.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3388, pruned_loss=0.09711, over 2775437.49 frames. utt_duration=262 frames, utt_pad_proportion=0.07064, over 42614.24 utterances.], batch size: 69, lr: 1.87e-04
+2022-09-19 04:20:27,822 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-312000.pt
+2022-09-19 04:20:46,300 INFO [train.py:885] (0/2) Epoch 25, batch 9150, loss[loss=0.2511, simple_loss=0.3317, pruned_loss=0.08528, over 14291.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04195, over 154.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3418, pruned_loss=0.09883, over 2777845.00 frames. utt_duration=258.1 frames, utt_pad_proportion=0.07118, over 43305.03 utterances.], batch size: 154, lr: 1.87e-04
+2022-09-19 04:21:15,782 INFO [train.py:885] (0/2) Epoch 25, batch 9200, loss[loss=0.1316, simple_loss=0.1859, pruned_loss=0.0386, over 13437.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.103, over 34.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3451, pruned_loss=0.1002, over 2777243.98 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07284, over 45033.78 utterances.], batch size: 34, lr: 1.87e-04
+2022-09-19 04:21:45,893 INFO [train.py:885] (0/2) Epoch 25, batch 9250, loss[loss=0.1965, simple_loss=0.2672, pruned_loss=0.06287, over 14094.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.05291, over 98.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3433, pruned_loss=0.09873, over 2772517.62 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07213, over 45022.08 utterances.], batch size: 98, lr: 1.87e-04
+2022-09-19 04:22:15,317 INFO [train.py:885] (0/2) Epoch 25, batch 9300, loss[loss=0.2223, simple_loss=0.2919, pruned_loss=0.07638, over 14193.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04357, over 109.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.341, pruned_loss=0.09736, over 2775075.66 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07032, over 44389.55 utterances.], batch size: 109, lr: 1.87e-04
+2022-09-19 04:22:44,746 INFO [train.py:885] (0/2) Epoch 25, batch 9350, loss[loss=0.3635, simple_loss=0.461, pruned_loss=0.133, over 13164.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1066, over 653.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3455, pruned_loss=0.09987, over 2777265.69 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07055, over 46114.42 utterances.], batch size: 653, lr: 1.87e-04
+2022-09-19 04:23:14,336 INFO [train.py:885] (0/2) Epoch 25, batch 9400, loss[loss=0.1885, simple_loss=0.2684, pruned_loss=0.0543, over 13156.00 frames. utt_duration=1549 frames, utt_pad_proportion=0.1178, over 34.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3468, pruned_loss=0.1009, over 2775810.98 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07097, over 46297.82 utterances.], batch size: 34, lr: 1.87e-04
+2022-09-19 04:23:43,852 INFO [train.py:885] (0/2) Epoch 25, batch 9450, loss[loss=0.2016, simple_loss=0.2758, pruned_loss=0.06369, over 13512.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08787, over 50.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3443, pruned_loss=0.09996, over 2779791.93 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06851, over 44337.41 utterances.], batch size: 50, lr: 1.87e-04
+2022-09-19 04:24:12,850 INFO [train.py:885] (0/2) Epoch 25, batch 9500, loss[loss=0.2611, simple_loss=0.3347, pruned_loss=0.09377, over 14324.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03791, over 210.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.347, pruned_loss=0.1014, over 2785256.67 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06895, over 45321.42 utterances.], batch size: 210, lr: 1.87e-04
+2022-09-19 04:24:42,762 INFO [train.py:885] (0/2) Epoch 25, batch 9550, loss[loss=0.2624, simple_loss=0.3466, pruned_loss=0.08909, over 14349.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.0362, over 226.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3459, pruned_loss=0.1007, over 2782582.98 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06955, over 44556.21 utterances.], batch size: 226, lr: 1.87e-04
+2022-09-19 04:25:12,344 INFO [train.py:885] (0/2) Epoch 25, batch 9600, loss[loss=0.3251, simple_loss=0.404, pruned_loss=0.1231, over 13950.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05912, over 365.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.345, pruned_loss=0.1, over 2784153.02 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06796, over 44316.54 utterances.], batch size: 365, lr: 1.87e-04
+2022-09-19 04:25:41,432 INFO [train.py:885] (0/2) Epoch 25, batch 9650, loss[loss=0.3032, simple_loss=0.3774, pruned_loss=0.1145, over 14318.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03912, over 283.00 utterances.], tot_loss[loss=0.272, simple_loss=0.345, pruned_loss=0.09951, over 2781684.58 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06859, over 44690.05 utterances.], batch size: 283, lr: 1.87e-04
+2022-09-19 04:26:10,767 INFO [train.py:885] (0/2) Epoch 25, batch 9700, loss[loss=0.1935, simple_loss=0.2269, pruned_loss=0.08003, over 13161.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.1108, over 33.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.344, pruned_loss=0.09993, over 2783847.65 frames. utt_duration=252 frames, utt_pad_proportion=0.0685, over 44446.97 utterances.], batch size: 33, lr: 1.87e-04
+2022-09-19 04:26:40,718 INFO [train.py:885] (0/2) Epoch 25, batch 9750, loss[loss=0.3401, simple_loss=0.3951, pruned_loss=0.1425, over 14322.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03693, over 180.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3458, pruned_loss=0.1005, over 2778286.03 frames. utt_duration=244.1 frames, utt_pad_proportion=0.0709, over 45796.52 utterances.], batch size: 180, lr: 1.87e-04
+2022-09-19 04:27:09,662 INFO [train.py:885] (0/2) Epoch 25, batch 9800, loss[loss=0.188, simple_loss=0.2771, pruned_loss=0.04939, over 13810.00 frames. utt_duration=802.1 frames, utt_pad_proportion=0.06512, over 69.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.344, pruned_loss=0.09957, over 2779926.00 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06972, over 44449.35 utterances.], batch size: 69, lr: 1.87e-04
+2022-09-19 04:27:39,384 INFO [train.py:885] (0/2) Epoch 25, batch 9850, loss[loss=0.1823, simple_loss=0.2355, pruned_loss=0.06455, over 13512.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08947, over 50.00 utterances.], tot_loss[loss=0.273, simple_loss=0.345, pruned_loss=0.1005, over 2781584.73 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06935, over 44251.68 utterances.], batch size: 50, lr: 1.87e-04
+2022-09-19 04:28:08,750 INFO [train.py:885] (0/2) Epoch 25, batch 9900, loss[loss=0.2482, simple_loss=0.3076, pruned_loss=0.09439, over 12850.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.1316, over 25.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3436, pruned_loss=0.09943, over 2779079.63 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06978, over 44057.89 utterances.], batch size: 25, lr: 1.87e-04
+2022-09-19 04:28:38,807 INFO [train.py:885] (0/2) Epoch 25, batch 9950, loss[loss=0.2432, simple_loss=0.3248, pruned_loss=0.08082, over 14325.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03993, over 167.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3465, pruned_loss=0.1007, over 2775289.25 frames. utt_duration=246.6 frames, utt_pad_proportion=0.073, over 45282.92 utterances.], batch size: 167, lr: 1.87e-04
+2022-09-19 04:29:08,591 INFO [train.py:885] (0/2) Epoch 25, batch 10000, loss[loss=0.2208, simple_loss=0.2754, pruned_loss=0.08309, over 13127.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1162, over 33.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3476, pruned_loss=0.1008, over 2779166.82 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07082, over 46389.12 utterances.], batch size: 33, lr: 1.87e-04
+2022-09-19 04:29:45,112 INFO [train.py:885] (0/2) Epoch 25, batch 10050, loss[loss=0.1346, simple_loss=0.2019, pruned_loss=0.03365, over 13091.00 frames. utt_duration=1588 frames, utt_pad_proportion=0.1215, over 33.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3458, pruned_loss=0.1002, over 2777819.90 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07103, over 45766.34 utterances.], batch size: 33, lr: 1.87e-04
+2022-09-19 04:30:14,881 INFO [train.py:885] (0/2) Epoch 25, batch 10100, loss[loss=0.1634, simple_loss=0.2329, pruned_loss=0.04694, over 13585.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08543, over 50.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3449, pruned_loss=0.09914, over 2784701.59 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06815, over 44922.91 utterances.], batch size: 50, lr: 1.87e-04
+2022-09-19 04:30:43,952 INFO [train.py:885] (0/2) Epoch 25, batch 10150, loss[loss=0.279, simple_loss=0.3814, pruned_loss=0.08832, over 13692.00 frames. utt_duration=134.8 frames, utt_pad_proportion=0.07638, over 411.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3459, pruned_loss=0.0996, over 2788894.64 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06713, over 45026.99 utterances.], batch size: 411, lr: 1.87e-04
+2022-09-19 04:31:13,698 INFO [train.py:885] (0/2) Epoch 25, batch 10200, loss[loss=0.2166, simple_loss=0.2877, pruned_loss=0.07278, over 12773.00 frames. utt_duration=2045 frames, utt_pad_proportion=0.1189, over 25.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3493, pruned_loss=0.1011, over 2777828.05 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07078, over 47107.79 utterances.], batch size: 25, lr: 1.87e-04
+2022-09-19 04:31:43,632 INFO [train.py:885] (0/2) Epoch 25, batch 10250, loss[loss=0.1659, simple_loss=0.2343, pruned_loss=0.0488, over 13231.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1112, over 33.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3526, pruned_loss=0.1032, over 2776333.94 frames. utt_duration=229 frames, utt_pad_proportion=0.07231, over 48813.33 utterances.], batch size: 33, lr: 1.87e-04
+2022-09-19 04:32:12,697 INFO [train.py:885] (0/2) Epoch 25, batch 10300, loss[loss=0.1883, simple_loss=0.2587, pruned_loss=0.05897, over 14041.00 frames. utt_duration=712.3 frames, utt_pad_proportion=0.05783, over 79.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3483, pruned_loss=0.1011, over 2771735.66 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07376, over 46585.11 utterances.], batch size: 79, lr: 1.87e-04
+2022-09-19 04:32:43,007 INFO [train.py:885] (0/2) Epoch 25, batch 10350, loss[loss=0.3013, simple_loss=0.3723, pruned_loss=0.1152, over 14305.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03972, over 283.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3496, pruned_loss=0.1013, over 2772691.64 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07286, over 47250.57 utterances.], batch size: 283, lr: 1.87e-04
+2022-09-19 04:33:12,706 INFO [train.py:885] (0/2) Epoch 25, batch 10400, loss[loss=0.301, simple_loss=0.3881, pruned_loss=0.1069, over 13982.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05695, over 365.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3458, pruned_loss=0.0993, over 2775480.78 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07029, over 45599.92 utterances.], batch size: 365, lr: 1.87e-04
+2022-09-19 04:33:42,099 INFO [train.py:885] (0/2) Epoch 25, batch 10450, loss[loss=0.3449, simple_loss=0.4011, pruned_loss=0.1443, over 14271.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04069, over 335.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3492, pruned_loss=0.1009, over 2775261.04 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07205, over 47653.52 utterances.], batch size: 335, lr: 1.87e-04
+2022-09-19 04:34:11,814 INFO [train.py:885] (0/2) Epoch 25, batch 10500, loss[loss=0.4104, simple_loss=0.482, pruned_loss=0.1694, over 13619.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.07735, over 560.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3505, pruned_loss=0.1022, over 2774791.05 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07431, over 47637.78 utterances.], batch size: 560, lr: 1.87e-04
+2022-09-19 04:34:41,321 INFO [train.py:885] (0/2) Epoch 25, batch 10550, loss[loss=0.2216, simple_loss=0.2798, pruned_loss=0.08167, over 13372.00 frames. utt_duration=1275 frames, utt_pad_proportion=0.1047, over 42.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3493, pruned_loss=0.1015, over 2777491.28 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07317, over 46866.37 utterances.], batch size: 42, lr: 1.87e-04
+2022-09-19 04:35:10,678 INFO [train.py:885] (0/2) Epoch 25, batch 10600, loss[loss=0.2698, simple_loss=0.3516, pruned_loss=0.09404, over 14362.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03578, over 226.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3526, pruned_loss=0.1032, over 2776031.87 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07519, over 48458.89 utterances.], batch size: 226, lr: 1.87e-04
+2022-09-19 04:35:40,707 INFO [train.py:885] (0/2) Epoch 25, batch 10650, loss[loss=0.1562, simple_loss=0.2284, pruned_loss=0.04202, over 12569.00 frames. utt_duration=2096 frames, utt_pad_proportion=0.1299, over 24.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3538, pruned_loss=0.104, over 2776754.62 frames. utt_duration=230.4 frames, utt_pad_proportion=0.07394, over 48518.06 utterances.], batch size: 24, lr: 1.87e-04
+2022-09-19 04:36:09,835 INFO [train.py:885] (0/2) Epoch 25, batch 10700, loss[loss=0.2583, simple_loss=0.3282, pruned_loss=0.09426, over 14330.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.03581, over 130.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3515, pruned_loss=0.1028, over 2778508.01 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07259, over 46650.70 utterances.], batch size: 130, lr: 1.87e-04
+2022-09-19 04:36:39,267 INFO [train.py:885] (0/2) Epoch 25, batch 10750, loss[loss=0.1854, simple_loss=0.2601, pruned_loss=0.05538, over 14177.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04687, over 89.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3484, pruned_loss=0.1017, over 2780266.03 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07108, over 45246.62 utterances.], batch size: 89, lr: 1.87e-04
+2022-09-19 04:37:08,683 INFO [train.py:885] (0/2) Epoch 25, batch 10800, loss[loss=0.3307, simple_loss=0.3942, pruned_loss=0.1337, over 14293.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03935, over 225.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3494, pruned_loss=0.1027, over 2781393.51 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07198, over 45750.04 utterances.], batch size: 225, lr: 1.87e-04
+2022-09-19 04:37:38,424 INFO [train.py:885] (0/2) Epoch 25, batch 10850, loss[loss=0.363, simple_loss=0.4628, pruned_loss=0.1316, over 13138.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1085, over 653.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3477, pruned_loss=0.1011, over 2779826.17 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07216, over 45505.07 utterances.], batch size: 653, lr: 1.87e-04
+2022-09-19 04:38:08,515 INFO [train.py:885] (0/2) Epoch 25, batch 10900, loss[loss=0.1943, simple_loss=0.2744, pruned_loss=0.05714, over 14002.00 frames. utt_duration=710.3 frames, utt_pad_proportion=0.05923, over 79.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3496, pruned_loss=0.1018, over 2778276.27 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07381, over 46481.64 utterances.], batch size: 79, lr: 1.86e-04
+2022-09-19 04:38:37,832 INFO [train.py:885] (0/2) Epoch 25, batch 10950, loss[loss=0.1732, simple_loss=0.2587, pruned_loss=0.04381, over 14177.00 frames. utt_duration=638.8 frames, utt_pad_proportion=0.04797, over 89.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.346, pruned_loss=0.1005, over 2780869.77 frames. utt_duration=249.9 frames, utt_pad_proportion=0.0699, over 44783.19 utterances.], batch size: 89, lr: 1.86e-04
+2022-09-19 04:39:07,513 INFO [train.py:885] (0/2) Epoch 25, batch 11000, loss[loss=0.5083, simple_loss=0.5986, pruned_loss=0.209, over 12493.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1455, over 810.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3462, pruned_loss=0.1003, over 2776789.53 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07099, over 45116.96 utterances.], batch size: 810, lr: 1.86e-04
+2022-09-19 04:39:36,787 INFO [train.py:885] (0/2) Epoch 25, batch 11050, loss[loss=0.3047, simple_loss=0.3737, pruned_loss=0.1178, over 14217.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04449, over 225.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3476, pruned_loss=0.1005, over 2773638.34 frames. utt_duration=242 frames, utt_pad_proportion=0.07402, over 46118.45 utterances.], batch size: 225, lr: 1.86e-04
+2022-09-19 04:40:06,889 INFO [train.py:885] (0/2) Epoch 25, batch 11100, loss[loss=0.1791, simple_loss=0.2489, pruned_loss=0.05467, over 14007.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05996, over 79.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3437, pruned_loss=0.09847, over 2773742.17 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07386, over 44860.56 utterances.], batch size: 79, lr: 1.86e-04
+2022-09-19 04:40:35,385 INFO [train.py:885] (0/2) Epoch 25, batch 11150, loss[loss=0.2271, simple_loss=0.3034, pruned_loss=0.07543, over 14341.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03748, over 120.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3422, pruned_loss=0.09804, over 2781336.46 frames. utt_duration=254 frames, utt_pad_proportion=0.07119, over 44049.08 utterances.], batch size: 120, lr: 1.86e-04
+2022-09-19 04:41:05,398 INFO [train.py:885] (0/2) Epoch 25, batch 11200, loss[loss=0.2696, simple_loss=0.3476, pruned_loss=0.09577, over 14324.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03737, over 180.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3452, pruned_loss=0.09916, over 2780712.54 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07161, over 45042.86 utterances.], batch size: 180, lr: 1.86e-04
+2022-09-19 04:41:35,115 INFO [train.py:885] (0/2) Epoch 25, batch 11250, loss[loss=0.2709, simple_loss=0.3424, pruned_loss=0.09969, over 14236.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04659, over 141.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3477, pruned_loss=0.1006, over 2784931.12 frames. utt_duration=246.5 frames, utt_pad_proportion=0.0715, over 45467.58 utterances.], batch size: 141, lr: 1.86e-04
+2022-09-19 04:42:04,231 INFO [train.py:885] (0/2) Epoch 25, batch 11300, loss[loss=0.1634, simple_loss=0.2119, pruned_loss=0.0575, over 12490.00 frames. utt_duration=2083 frames, utt_pad_proportion=0.1529, over 24.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.349, pruned_loss=0.1019, over 2784249.70 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07117, over 45933.86 utterances.], batch size: 24, lr: 1.86e-04
+2022-09-19 04:42:34,288 INFO [train.py:885] (0/2) Epoch 25, batch 11350, loss[loss=0.2125, simple_loss=0.2865, pruned_loss=0.06929, over 14090.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05335, over 98.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3529, pruned_loss=0.1036, over 2781048.69 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07369, over 48351.41 utterances.], batch size: 98, lr: 1.86e-04
+2022-09-19 04:43:04,132 INFO [train.py:885] (0/2) Epoch 25, batch 11400, loss[loss=0.2536, simple_loss=0.3282, pruned_loss=0.08949, over 14247.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.0439, over 130.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.35, pruned_loss=0.1027, over 2779844.85 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07323, over 46632.04 utterances.], batch size: 130, lr: 1.86e-04
+2022-09-19 04:43:33,951 INFO [train.py:885] (0/2) Epoch 25, batch 11450, loss[loss=0.1897, simple_loss=0.2305, pruned_loss=0.07448, over 13044.00 frames. utt_duration=2008 frames, utt_pad_proportion=0.1099, over 26.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3515, pruned_loss=0.1037, over 2777848.32 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07441, over 47615.86 utterances.], batch size: 26, lr: 1.86e-04
+2022-09-19 04:44:03,157 INFO [train.py:885] (0/2) Epoch 25, batch 11500, loss[loss=0.2521, simple_loss=0.328, pruned_loss=0.08805, over 14207.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04814, over 141.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3482, pruned_loss=0.1016, over 2774922.33 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07471, over 46615.55 utterances.], batch size: 141, lr: 1.86e-04
+2022-09-19 04:44:33,117 INFO [train.py:885] (0/2) Epoch 25, batch 11550, loss[loss=0.2855, simple_loss=0.3491, pruned_loss=0.1109, over 14278.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04342, over 141.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3466, pruned_loss=0.1006, over 2777856.33 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07244, over 45559.25 utterances.], batch size: 141, lr: 1.86e-04
+2022-09-19 04:45:02,631 INFO [train.py:885] (0/2) Epoch 25, batch 11600, loss[loss=0.2864, simple_loss=0.3599, pruned_loss=0.1064, over 14349.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0376, over 244.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3473, pruned_loss=0.1006, over 2780061.25 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07087, over 45422.08 utterances.], batch size: 244, lr: 1.86e-04
+2022-09-19 04:45:31,897 INFO [train.py:885] (0/2) Epoch 25, batch 11650, loss[loss=0.1856, simple_loss=0.2695, pruned_loss=0.05084, over 13848.00 frames. utt_duration=924.8 frames, utt_pad_proportion=0.07059, over 60.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3489, pruned_loss=0.1014, over 2778119.97 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07223, over 46366.63 utterances.], batch size: 60, lr: 1.86e-04
+2022-09-19 04:46:01,363 INFO [train.py:885] (0/2) Epoch 25, batch 11700, loss[loss=0.1821, simple_loss=0.2358, pruned_loss=0.06424, over 12238.00 frames. utt_duration=2041 frames, utt_pad_proportion=0.1648, over 24.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3502, pruned_loss=0.1022, over 2781457.10 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07136, over 46360.27 utterances.], batch size: 24, lr: 1.86e-04
+2022-09-19 04:46:31,097 INFO [train.py:885] (0/2) Epoch 25, batch 11750, loss[loss=0.2338, simple_loss=0.3178, pruned_loss=0.07484, over 14112.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.04894, over 98.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3487, pruned_loss=0.1016, over 2781801.56 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07155, over 45972.13 utterances.], batch size: 98, lr: 1.86e-04
+2022-09-19 04:46:59,982 INFO [train.py:885] (0/2) Epoch 25, batch 11800, loss[loss=0.1612, simple_loss=0.2308, pruned_loss=0.04581, over 13666.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07934, over 50.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3476, pruned_loss=0.1009, over 2783968.58 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07124, over 45571.07 utterances.], batch size: 50, lr: 1.86e-04
+2022-09-19 04:47:29,690 INFO [train.py:885] (0/2) Epoch 25, batch 11850, loss[loss=0.4825, simple_loss=0.5735, pruned_loss=0.1958, over 12431.00 frames. utt_duration=63.02 frames, utt_pad_proportion=0.1483, over 810.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3487, pruned_loss=0.1017, over 2781210.64 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07312, over 46184.93 utterances.], batch size: 810, lr: 1.86e-04
+2022-09-19 04:47:59,465 INFO [train.py:885] (0/2) Epoch 25, batch 11900, loss[loss=0.1723, simple_loss=0.2498, pruned_loss=0.04738, over 13986.00 frames. utt_duration=709.5 frames, utt_pad_proportion=0.06029, over 79.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3477, pruned_loss=0.1007, over 2786187.82 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07102, over 45971.98 utterances.], batch size: 79, lr: 1.86e-04
+2022-09-19 04:48:29,223 INFO [train.py:885] (0/2) Epoch 25, batch 11950, loss[loss=0.1867, simple_loss=0.2544, pruned_loss=0.0595, over 13877.00 frames. utt_duration=806.1 frames, utt_pad_proportion=0.06156, over 69.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3498, pruned_loss=0.102, over 2789451.44 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06879, over 46351.55 utterances.], batch size: 69, lr: 1.86e-04
+2022-09-19 04:48:58,709 INFO [train.py:885] (0/2) Epoch 25, batch 12000, loss[loss=0.1986, simple_loss=0.2735, pruned_loss=0.06185, over 13809.00 frames. utt_duration=922.3 frames, utt_pad_proportion=0.06934, over 60.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3481, pruned_loss=0.1004, over 2786088.48 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07009, over 46236.76 utterances.], batch size: 60, lr: 1.86e-04
+2022-09-19 04:48:58,711 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 04:49:02,869 INFO [train.py:914] (0/2) Epoch 25, validation: loss=0.1883, simple_loss=0.2693, pruned_loss=0.05364, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 04:49:40,351 INFO [train.py:885] (0/2) Epoch 25, batch 12050, loss[loss=0.2222, simple_loss=0.3158, pruned_loss=0.06432, over 14290.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03931, over 154.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3463, pruned_loss=0.09986, over 2787352.39 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06787, over 45115.53 utterances.], batch size: 154, lr: 1.86e-04
+2022-09-19 04:50:09,795 INFO [train.py:885] (0/2) Epoch 25, batch 12100, loss[loss=0.1878, simple_loss=0.2508, pruned_loss=0.06241, over 13265.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.0953, over 41.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3433, pruned_loss=0.09894, over 2786994.98 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06635, over 43687.05 utterances.], batch size: 41, lr: 1.86e-04
+2022-09-19 04:50:39,542 INFO [train.py:885] (0/2) Epoch 25, batch 12150, loss[loss=0.3382, simple_loss=0.3921, pruned_loss=0.1422, over 14256.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04192, over 335.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3433, pruned_loss=0.09896, over 2787628.67 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06549, over 43861.26 utterances.], batch size: 335, lr: 1.86e-04
+2022-09-19 04:51:08,679 INFO [train.py:885] (0/2) Epoch 25, batch 12200, loss[loss=0.2643, simple_loss=0.3684, pruned_loss=0.08006, over 13717.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07486, over 411.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3448, pruned_loss=0.09957, over 2786898.21 frames. utt_duration=250 frames, utt_pad_proportion=0.06764, over 44856.12 utterances.], batch size: 411, lr: 1.86e-04
+2022-09-19 04:51:38,820 INFO [train.py:885] (0/2) Epoch 25, batch 12250, loss[loss=0.1915, simple_loss=0.2594, pruned_loss=0.06182, over 13504.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08376, over 50.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3442, pruned_loss=0.09961, over 2781211.09 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07022, over 44892.47 utterances.], batch size: 50, lr: 1.86e-04
+2022-09-19 04:52:07,593 INFO [train.py:885] (0/2) Epoch 25, batch 12300, loss[loss=0.2197, simple_loss=0.2804, pruned_loss=0.07944, over 12435.00 frames. utt_duration=2074 frames, utt_pad_proportion=0.1426, over 24.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3397, pruned_loss=0.09764, over 2780707.00 frames. utt_duration=259 frames, utt_pad_proportion=0.06824, over 43182.50 utterances.], batch size: 24, lr: 1.86e-04
+2022-09-19 04:52:37,328 INFO [train.py:885] (0/2) Epoch 25, batch 12350, loss[loss=0.3388, simple_loss=0.4418, pruned_loss=0.1179, over 13128.00 frames. utt_duration=81.98 frames, utt_pad_proportion=0.1089, over 653.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3408, pruned_loss=0.09761, over 2775238.13 frames. utt_duration=252 frames, utt_pad_proportion=0.06881, over 44305.61 utterances.], batch size: 653, lr: 1.86e-04
+2022-09-19 04:53:06,068 INFO [train.py:885] (0/2) Epoch 25, batch 12400, loss[loss=0.2518, simple_loss=0.3348, pruned_loss=0.08437, over 14359.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03284, over 244.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3391, pruned_loss=0.09753, over 2777141.61 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06788, over 42893.51 utterances.], batch size: 244, lr: 1.86e-04
+2022-09-19 04:53:36,177 INFO [train.py:885] (0/2) Epoch 25, batch 12450, loss[loss=0.3198, simple_loss=0.3844, pruned_loss=0.1276, over 14315.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03918, over 262.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3419, pruned_loss=0.09938, over 2778338.49 frames. utt_duration=255 frames, utt_pad_proportion=0.06737, over 43832.96 utterances.], batch size: 262, lr: 1.86e-04
+2022-09-19 04:54:05,939 INFO [train.py:885] (0/2) Epoch 25, batch 12500, loss[loss=0.3115, simple_loss=0.4036, pruned_loss=0.1097, over 13732.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07473, over 411.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3463, pruned_loss=0.1012, over 2777390.92 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07047, over 45745.84 utterances.], batch size: 411, lr: 1.86e-04
+2022-09-19 04:54:35,025 INFO [train.py:885] (0/2) Epoch 25, batch 12550, loss[loss=0.2642, simple_loss=0.3473, pruned_loss=0.09058, over 14353.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03357, over 244.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3446, pruned_loss=0.1001, over 2782468.12 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06806, over 44620.89 utterances.], batch size: 244, lr: 1.86e-04
+2022-09-19 04:55:03,225 INFO [train.py:885] (0/2) Epoch 25, batch 12600, loss[loss=0.4194, simple_loss=0.4841, pruned_loss=0.1773, over 13968.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05792, over 365.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3472, pruned_loss=0.1011, over 2780718.99 frames. utt_duration=244 frames, utt_pad_proportion=0.07068, over 45871.89 utterances.], batch size: 365, lr: 1.86e-04
+2022-09-19 04:55:13,769 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-25.pt
+2022-09-19 04:55:21,111 INFO [train.py:885] (0/2) Epoch 26, batch 0, loss[loss=0.249, simple_loss=0.3379, pruned_loss=0.08001, over 14343.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03673, over 210.00 utterances.], tot_loss[loss=0.249, simple_loss=0.3379, pruned_loss=0.08001, over 14343.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03673, over 210.00 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 04:55:50,388 INFO [train.py:885] (0/2) Epoch 26, batch 50, loss[loss=0.2949, simple_loss=0.3711, pruned_loss=0.1093, over 14352.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03402, over 244.00 utterances.], tot_loss[loss=0.2635, simple_loss=0.3363, pruned_loss=0.09536, over 627533.15 frames. utt_duration=271.9 frames, utt_pad_proportion=0.06759, over 9282.05 utterances.], batch size: 244, lr: 1.82e-04
+2022-09-19 04:56:20,372 INFO [train.py:885] (0/2) Epoch 26, batch 100, loss[loss=0.3428, simple_loss=0.4018, pruned_loss=0.1419, over 14292.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.0405, over 283.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3503, pruned_loss=0.1007, over 1108667.65 frames. utt_duration=239.5 frames, utt_pad_proportion=0.06628, over 18633.34 utterances.], batch size: 283, lr: 1.82e-04
+2022-09-19 04:56:50,031 INFO [train.py:885] (0/2) Epoch 26, batch 150, loss[loss=0.6555, simple_loss=0.6991, pruned_loss=0.306, over 12459.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3431, pruned_loss=0.09883, over 1477352.86 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06541, over 22800.15 utterances.], batch size: 810, lr: 1.82e-04
+2022-09-19 04:57:19,821 INFO [train.py:885] (0/2) Epoch 26, batch 200, loss[loss=0.1348, simple_loss=0.1837, pruned_loss=0.04298, over 13007.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1276, over 33.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3452, pruned_loss=0.09919, over 1760035.08 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07124, over 28995.13 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 04:57:48,734 INFO [train.py:885] (0/2) Epoch 26, batch 250, loss[loss=0.1752, simple_loss=0.2417, pruned_loss=0.0543, over 12337.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1466, over 24.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3491, pruned_loss=0.1018, over 1989136.32 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06918, over 32707.95 utterances.], batch size: 24, lr: 1.82e-04
+2022-09-19 04:58:18,455 INFO [train.py:885] (0/2) Epoch 26, batch 300, loss[loss=0.1638, simple_loss=0.2013, pruned_loss=0.06314, over 12998.00 frames. utt_duration=1577 frames, utt_pad_proportion=0.1263, over 33.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3504, pruned_loss=0.102, over 2161362.15 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0715, over 36722.37 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 04:58:47,533 INFO [train.py:885] (0/2) Epoch 26, batch 350, loss[loss=0.284, simple_loss=0.3611, pruned_loss=0.1035, over 14269.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04293, over 154.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3502, pruned_loss=0.1014, over 2297335.08 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07283, over 39333.62 utterances.], batch size: 154, lr: 1.82e-04
+2022-09-19 04:59:17,002 INFO [train.py:885] (0/2) Epoch 26, batch 400, loss[loss=0.2978, simple_loss=0.3693, pruned_loss=0.1132, over 14322.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03839, over 226.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3444, pruned_loss=0.09875, over 2406124.29 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07109, over 38801.55 utterances.], batch size: 226, lr: 1.82e-04
+2022-09-19 04:59:46,817 INFO [train.py:885] (0/2) Epoch 26, batch 450, loss[loss=0.2845, simple_loss=0.3573, pruned_loss=0.1058, over 14377.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03405, over 210.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3431, pruned_loss=0.09842, over 2484682.01 frames. utt_duration=250 frames, utt_pad_proportion=0.07071, over 39998.29 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 05:00:16,132 INFO [train.py:885] (0/2) Epoch 26, batch 500, loss[loss=0.3437, simple_loss=0.3934, pruned_loss=0.147, over 14240.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04261, over 335.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.34, pruned_loss=0.09649, over 2552900.08 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06963, over 40057.34 utterances.], batch size: 335, lr: 1.82e-04
+2022-09-19 05:00:16,772 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-316000.pt
+2022-09-19 05:00:46,396 INFO [train.py:885] (0/2) Epoch 26, batch 550, loss[loss=0.2749, simple_loss=0.3357, pruned_loss=0.1071, over 13993.00 frames. utt_duration=572.7 frames, utt_pad_proportion=0.06117, over 98.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3427, pruned_loss=0.09721, over 2600353.57 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07274, over 42167.89 utterances.], batch size: 98, lr: 1.82e-04
+2022-09-19 05:01:15,822 INFO [train.py:885] (0/2) Epoch 26, batch 600, loss[loss=0.3292, simple_loss=0.3837, pruned_loss=0.1373, over 14356.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03578, over 195.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3449, pruned_loss=0.09916, over 2641211.40 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07272, over 43150.62 utterances.], batch size: 195, lr: 1.82e-04
+2022-09-19 05:01:45,226 INFO [train.py:885] (0/2) Epoch 26, batch 650, loss[loss=0.3153, simple_loss=0.423, pruned_loss=0.1038, over 13620.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07774, over 560.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3441, pruned_loss=0.09907, over 2671951.77 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07121, over 43021.36 utterances.], batch size: 560, lr: 1.82e-04
+2022-09-19 05:02:14,311 INFO [train.py:885] (0/2) Epoch 26, batch 700, loss[loss=0.2616, simple_loss=0.3391, pruned_loss=0.09201, over 14279.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.03991, over 154.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3432, pruned_loss=0.09845, over 2697602.52 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06908, over 42859.79 utterances.], batch size: 154, lr: 1.82e-04
+2022-09-19 05:02:44,433 INFO [train.py:885] (0/2) Epoch 26, batch 750, loss[loss=0.2024, simple_loss=0.2869, pruned_loss=0.0589, over 14146.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.04863, over 89.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3452, pruned_loss=0.09951, over 2719287.37 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06964, over 43929.77 utterances.], batch size: 89, lr: 1.82e-04
+2022-09-19 05:03:13,775 INFO [train.py:885] (0/2) Epoch 26, batch 800, loss[loss=0.2216, simple_loss=0.2891, pruned_loss=0.07702, over 12314.00 frames. utt_duration=2054 frames, utt_pad_proportion=0.1654, over 24.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3452, pruned_loss=0.09929, over 2731941.61 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07016, over 44356.83 utterances.], batch size: 24, lr: 1.82e-04
+2022-09-19 05:03:43,485 INFO [train.py:885] (0/2) Epoch 26, batch 850, loss[loss=0.2928, simple_loss=0.3646, pruned_loss=0.1105, over 14337.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03832, over 262.00 utterances.], tot_loss[loss=0.273, simple_loss=0.346, pruned_loss=0.09995, over 2742803.86 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06972, over 44844.24 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 05:04:13,291 INFO [train.py:885] (0/2) Epoch 26, batch 900, loss[loss=0.354, simple_loss=0.4456, pruned_loss=0.1312, over 13614.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.0783, over 560.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3481, pruned_loss=0.1014, over 2746625.96 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07073, over 45457.45 utterances.], batch size: 560, lr: 1.82e-04
+2022-09-19 05:04:42,822 INFO [train.py:885] (0/2) Epoch 26, batch 950, loss[loss=0.272, simple_loss=0.3753, pruned_loss=0.08436, over 13776.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07158, over 411.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3493, pruned_loss=0.1011, over 2747167.77 frames. utt_duration=234.2 frames, utt_pad_proportion=0.0735, over 47222.78 utterances.], batch size: 411, lr: 1.82e-04
+2022-09-19 05:05:11,527 INFO [train.py:885] (0/2) Epoch 26, batch 1000, loss[loss=0.405, simple_loss=0.4501, pruned_loss=0.18, over 14230.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04318, over 306.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3502, pruned_loss=0.1021, over 2758302.47 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07107, over 46629.17 utterances.], batch size: 306, lr: 1.82e-04
+2022-09-19 05:05:41,481 INFO [train.py:885] (0/2) Epoch 26, batch 1050, loss[loss=0.3195, simple_loss=0.3855, pruned_loss=0.1267, over 14328.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03883, over 262.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3502, pruned_loss=0.1027, over 2758945.37 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07181, over 46221.78 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 05:06:11,218 INFO [train.py:885] (0/2) Epoch 26, batch 1100, loss[loss=0.301, simple_loss=0.3758, pruned_loss=0.113, over 14289.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04097, over 262.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3504, pruned_loss=0.1024, over 2764343.51 frames. utt_duration=238.9 frames, utt_pad_proportion=0.0719, over 46566.76 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 05:06:40,352 INFO [train.py:885] (0/2) Epoch 26, batch 1150, loss[loss=0.2976, simple_loss=0.3624, pruned_loss=0.1164, over 14316.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03905, over 262.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3499, pruned_loss=0.1019, over 2769916.18 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07097, over 46204.39 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 05:07:09,873 INFO [train.py:885] (0/2) Epoch 26, batch 1200, loss[loss=0.2811, simple_loss=0.3769, pruned_loss=0.09264, over 13983.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05757, over 365.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3465, pruned_loss=0.1001, over 2774351.71 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06842, over 44881.83 utterances.], batch size: 365, lr: 1.82e-04
+2022-09-19 05:07:39,057 INFO [train.py:885] (0/2) Epoch 26, batch 1250, loss[loss=0.3197, simple_loss=0.3807, pruned_loss=0.1294, over 14299.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.04157, over 154.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3473, pruned_loss=0.1014, over 2775291.06 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07036, over 45250.62 utterances.], batch size: 154, lr: 1.82e-04
+2022-09-19 05:08:09,236 INFO [train.py:885] (0/2) Epoch 26, batch 1300, loss[loss=0.3371, simple_loss=0.3989, pruned_loss=0.1376, over 14208.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04405, over 306.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3469, pruned_loss=0.1008, over 2771600.19 frames. utt_duration=244.8 frames, utt_pad_proportion=0.0718, over 45563.34 utterances.], batch size: 306, lr: 1.82e-04
+2022-09-19 05:08:38,718 INFO [train.py:885] (0/2) Epoch 26, batch 1350, loss[loss=0.3768, simple_loss=0.4271, pruned_loss=0.1633, over 14304.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03919, over 283.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3464, pruned_loss=0.1012, over 2775049.19 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07077, over 44702.58 utterances.], batch size: 283, lr: 1.82e-04
+2022-09-19 05:09:07,882 INFO [train.py:885] (0/2) Epoch 26, batch 1400, loss[loss=0.272, simple_loss=0.3367, pruned_loss=0.1036, over 14251.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04534, over 141.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3442, pruned_loss=0.09994, over 2783166.92 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06742, over 43371.06 utterances.], batch size: 141, lr: 1.82e-04
+2022-09-19 05:09:38,101 INFO [train.py:885] (0/2) Epoch 26, batch 1450, loss[loss=0.2964, simple_loss=0.3982, pruned_loss=0.09735, over 13671.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08036, over 478.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3451, pruned_loss=0.1008, over 2783708.94 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06726, over 44080.29 utterances.], batch size: 478, lr: 1.82e-04
+2022-09-19 05:10:08,085 INFO [train.py:885] (0/2) Epoch 26, batch 1500, loss[loss=0.1762, simple_loss=0.2331, pruned_loss=0.0597, over 13363.00 frames. utt_duration=1621 frames, utt_pad_proportion=0.1023, over 33.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3444, pruned_loss=0.1002, over 2779923.96 frames. utt_duration=250.2 frames, utt_pad_proportion=0.0686, over 44708.26 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 05:10:37,501 INFO [train.py:885] (0/2) Epoch 26, batch 1550, loss[loss=0.1501, simple_loss=0.208, pruned_loss=0.04609, over 13270.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.1082, over 33.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3452, pruned_loss=0.1, over 2781796.52 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06838, over 45664.65 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 05:11:06,399 INFO [train.py:885] (0/2) Epoch 26, batch 1600, loss[loss=0.2515, simple_loss=0.3259, pruned_loss=0.08856, over 14323.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.04026, over 120.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3437, pruned_loss=0.09989, over 2779899.38 frames. utt_duration=251 frames, utt_pad_proportion=0.06915, over 44563.72 utterances.], batch size: 120, lr: 1.82e-04
+2022-09-19 05:11:36,275 INFO [train.py:885] (0/2) Epoch 26, batch 1650, loss[loss=0.2362, simple_loss=0.2992, pruned_loss=0.08658, over 14074.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05429, over 98.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3441, pruned_loss=0.1, over 2774879.13 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07184, over 44747.58 utterances.], batch size: 98, lr: 1.82e-04
+2022-09-19 05:12:06,027 INFO [train.py:885] (0/2) Epoch 26, batch 1700, loss[loss=0.5192, simple_loss=0.6062, pruned_loss=0.2161, over 12453.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1487, over 811.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3463, pruned_loss=0.1017, over 2779072.28 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07041, over 44766.65 utterances.], batch size: 811, lr: 1.82e-04
+2022-09-19 05:12:35,032 INFO [train.py:885] (0/2) Epoch 26, batch 1750, loss[loss=0.2518, simple_loss=0.3357, pruned_loss=0.08393, over 14265.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04068, over 180.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3448, pruned_loss=0.1012, over 2784409.48 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06817, over 43891.65 utterances.], batch size: 180, lr: 1.82e-04
+2022-09-19 05:13:04,962 INFO [train.py:885] (0/2) Epoch 26, batch 1800, loss[loss=0.1335, simple_loss=0.2024, pruned_loss=0.0323, over 13548.00 frames. utt_duration=1323 frames, utt_pad_proportion=0.07411, over 41.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3456, pruned_loss=0.1007, over 2781282.57 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07024, over 45617.99 utterances.], batch size: 41, lr: 1.82e-04
+2022-09-19 05:13:34,088 INFO [train.py:885] (0/2) Epoch 26, batch 1850, loss[loss=0.2234, simple_loss=0.2961, pruned_loss=0.07537, over 13981.00 frames. utt_duration=572.2 frames, utt_pad_proportion=0.06045, over 98.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3459, pruned_loss=0.1006, over 2782147.56 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06979, over 45280.16 utterances.], batch size: 98, lr: 1.82e-04
+2022-09-19 05:14:03,750 INFO [train.py:885] (0/2) Epoch 26, batch 1900, loss[loss=0.1904, simple_loss=0.272, pruned_loss=0.05442, over 14118.00 frames. utt_duration=716.3 frames, utt_pad_proportion=0.0488, over 79.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3438, pruned_loss=0.09953, over 2787972.64 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06662, over 44034.79 utterances.], batch size: 79, lr: 1.82e-04
+2022-09-19 05:14:32,990 INFO [train.py:885] (0/2) Epoch 26, batch 1950, loss[loss=0.4312, simple_loss=0.465, pruned_loss=0.1987, over 14191.00 frames. utt_duration=170.7 frames, utt_pad_proportion=0.04616, over 335.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3458, pruned_loss=0.1002, over 2781308.86 frames. utt_duration=247 frames, utt_pad_proportion=0.07036, over 45317.39 utterances.], batch size: 335, lr: 1.82e-04
+2022-09-19 05:15:02,808 INFO [train.py:885] (0/2) Epoch 26, batch 2000, loss[loss=0.5238, simple_loss=0.6008, pruned_loss=0.2234, over 12444.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3463, pruned_loss=0.1003, over 2785128.06 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06922, over 45236.63 utterances.], batch size: 810, lr: 1.82e-04
+2022-09-19 05:15:32,208 INFO [train.py:885] (0/2) Epoch 26, batch 2050, loss[loss=0.2395, simple_loss=0.3166, pruned_loss=0.08125, over 14329.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.03603, over 130.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3433, pruned_loss=0.09889, over 2789118.72 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06635, over 43793.02 utterances.], batch size: 130, lr: 1.82e-04
+2022-09-19 05:16:01,506 INFO [train.py:885] (0/2) Epoch 26, batch 2100, loss[loss=0.4813, simple_loss=0.5782, pruned_loss=0.1921, over 12469.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1466, over 810.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3426, pruned_loss=0.09881, over 2787894.78 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06736, over 43114.76 utterances.], batch size: 810, lr: 1.82e-04
+2022-09-19 05:16:31,162 INFO [train.py:885] (0/2) Epoch 26, batch 2150, loss[loss=0.2401, simple_loss=0.3268, pruned_loss=0.07664, over 14262.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.04079, over 130.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3427, pruned_loss=0.09972, over 2787140.43 frames. utt_duration=263.3 frames, utt_pad_proportion=0.06653, over 42574.87 utterances.], batch size: 130, lr: 1.82e-04
+2022-09-19 05:17:00,687 INFO [train.py:885] (0/2) Epoch 26, batch 2200, loss[loss=0.3202, simple_loss=0.4211, pruned_loss=0.1097, over 13621.00 frames. utt_duration=98.7 frames, utt_pad_proportion=0.0776, over 560.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3441, pruned_loss=0.09972, over 2788039.58 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06733, over 43930.03 utterances.], batch size: 560, lr: 1.82e-04
+2022-09-19 05:17:29,658 INFO [train.py:885] (0/2) Epoch 26, batch 2250, loss[loss=0.3278, simple_loss=0.3904, pruned_loss=0.1325, over 14290.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03947, over 180.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3445, pruned_loss=0.09974, over 2787738.13 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06788, over 43732.23 utterances.], batch size: 180, lr: 1.82e-04
+2022-09-19 05:17:58,936 INFO [train.py:885] (0/2) Epoch 26, batch 2300, loss[loss=0.2135, simple_loss=0.2913, pruned_loss=0.06782, over 14271.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.04254, over 130.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3442, pruned_loss=0.09937, over 2785916.23 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06851, over 43818.81 utterances.], batch size: 130, lr: 1.82e-04
+2022-09-19 05:18:28,427 INFO [train.py:885] (0/2) Epoch 26, batch 2350, loss[loss=0.3401, simple_loss=0.4, pruned_loss=0.1402, over 14364.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03241, over 195.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3408, pruned_loss=0.09753, over 2783575.42 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06987, over 43016.15 utterances.], batch size: 195, lr: 1.82e-04
+2022-09-19 05:18:57,929 INFO [train.py:885] (0/2) Epoch 26, batch 2400, loss[loss=0.324, simple_loss=0.3931, pruned_loss=0.1275, over 14316.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03857, over 283.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3457, pruned_loss=0.1001, over 2784974.70 frames. utt_duration=251 frames, utt_pad_proportion=0.06973, over 44641.49 utterances.], batch size: 283, lr: 1.82e-04
+2022-09-19 05:19:27,520 INFO [train.py:885] (0/2) Epoch 26, batch 2450, loss[loss=0.2788, simple_loss=0.3631, pruned_loss=0.09725, over 14334.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03673, over 210.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3447, pruned_loss=0.09995, over 2784499.22 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06939, over 44217.48 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 05:19:57,095 INFO [train.py:885] (0/2) Epoch 26, batch 2500, loss[loss=0.2974, simple_loss=0.3811, pruned_loss=0.1068, over 13984.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05715, over 365.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.343, pruned_loss=0.09876, over 2783906.99 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06792, over 43284.02 utterances.], batch size: 365, lr: 1.82e-04
+2022-09-19 05:20:26,839 INFO [train.py:885] (0/2) Epoch 26, batch 2550, loss[loss=0.3198, simple_loss=0.4166, pruned_loss=0.1115, over 13633.00 frames. utt_duration=98.83 frames, utt_pad_proportion=0.07632, over 560.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3444, pruned_loss=0.099, over 2786147.72 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06757, over 43943.14 utterances.], batch size: 560, lr: 1.82e-04