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2023-04-05 11:55:52,514 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:52,514 Model: "SequenceTagger(
(embeddings): StackedEmbeddings(
(list_embedding_0): WordEmbeddings(
'en-crawl'
(embedding): Embedding(1000001, 300)
)
(list_embedding_1): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.25, inplace=False)
(encoder): Embedding(275, 100)
(rnn): LSTM(100, 1024)
)
)
(list_embedding_2): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.25, inplace=False)
(encoder): Embedding(275, 100)
(rnn): LSTM(100, 1024)
)
)
)
(word_dropout): WordDropout(p=0.05)
(locked_dropout): LockedDropout(p=0.5)
(embedding2nn): Linear(in_features=2348, out_features=2348, bias=True)
(rnn): LSTM(2348, 256, batch_first=True, bidirectional=True)
(linear): Linear(in_features=512, out_features=75, bias=True)
(loss_function): ViterbiLoss()
(crf): CRF()
)"
2023-04-05 11:55:52,514 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:52,514 Corpus: "Corpus: 75187 train + 9603 dev + 9479 test sentences"
2023-04-05 11:55:52,514 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:52,514 Parameters:
2023-04-05 11:55:52,514 - learning_rate: "0.100000"
2023-04-05 11:55:52,514 - mini_batch_size: "32"
2023-04-05 11:55:52,514 - patience: "3"
2023-04-05 11:55:52,514 - anneal_factor: "0.5"
2023-04-05 11:55:52,514 - max_epochs: "150"
2023-04-05 11:55:52,514 - shuffle: "True"
2023-04-05 11:55:52,514 - train_with_dev: "True"
2023-04-05 11:55:52,514 - batch_growth_annealing: "False"
2023-04-05 11:55:52,514 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:52,514 Model training base path: "resources/taggers/release-ner-ontonotes-fast-0"
2023-04-05 11:55:52,514 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:52,514 Device: cuda:1
2023-04-05 11:55:52,514 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:52,514 Embeddings storage mode: cpu
2023-04-05 11:55:52,514 ----------------------------------------------------------------------------------------------------
2023-04-05 11:56:04,727 epoch 1 - iter 265/2650 - loss 0.23382084 - time (sec): 12.21 - samples/sec: 4964.59 - lr: 0.100000
2023-04-05 11:56:29,457 epoch 1 - iter 530/2650 - loss 0.25783822 - time (sec): 36.94 - samples/sec: 5871.52 - lr: 0.100000
2023-04-05 11:57:01,478 epoch 1 - iter 795/2650 - loss 0.23239070 - time (sec): 68.96 - samples/sec: 5698.31 - lr: 0.100000
2023-04-05 11:57:28,868 epoch 1 - iter 1060/2650 - loss 0.21704976 - time (sec): 96.35 - samples/sec: 5713.75 - lr: 0.100000
2023-04-05 11:57:47,016 epoch 1 - iter 1325/2650 - loss 0.17966939 - time (sec): 114.50 - samples/sec: 5855.33 - lr: 0.100000
2023-04-05 11:58:08,819 epoch 1 - iter 1590/2650 - loss 0.16237454 - time (sec): 136.30 - samples/sec: 5945.77 - lr: 0.100000
2023-04-05 11:58:53,164 epoch 1 - iter 1855/2650 - loss 0.16467915 - time (sec): 180.65 - samples/sec: 5675.19 - lr: 0.100000
2023-04-05 11:59:18,620 epoch 1 - iter 2120/2650 - loss 0.16005373 - time (sec): 206.11 - samples/sec: 5807.58 - lr: 0.100000
2023-04-05 11:59:38,716 epoch 1 - iter 2385/2650 - loss 0.15574297 - time (sec): 226.20 - samples/sec: 5776.53 - lr: 0.100000
2023-04-05 12:00:03,859 epoch 1 - iter 2650/2650 - loss 0.15274049 - time (sec): 251.34 - samples/sec: 5818.17 - lr: 0.100000
2023-04-05 12:00:03,859 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:03,859 EPOCH 1 done: loss 0.1527 - lr 0.100000
2023-04-05 12:00:03,859 BAD EPOCHS (no improvement): 0
2023-04-05 12:00:03,862 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:22,302 epoch 2 - iter 265/2650 - loss 0.11230987 - time (sec): 18.44 - samples/sec: 7930.04 - lr: 0.100000
2023-04-05 12:00:40,755 epoch 2 - iter 530/2650 - loss 0.11000664 - time (sec): 36.89 - samples/sec: 7928.22 - lr: 0.100000
2023-04-05 12:00:58,953 epoch 2 - iter 795/2650 - loss 0.10590899 - time (sec): 55.09 - samples/sec: 7962.22 - lr: 0.100000
2023-04-05 12:01:17,011 epoch 2 - iter 1060/2650 - loss 0.10456016 - time (sec): 73.15 - samples/sec: 8006.86 - lr: 0.100000
2023-04-05 12:01:35,307 epoch 2 - iter 1325/2650 - loss 0.10299613 - time (sec): 91.45 - samples/sec: 7998.49 - lr: 0.100000
2023-04-05 12:01:53,010 epoch 2 - iter 1590/2650 - loss 0.10234779 - time (sec): 109.15 - samples/sec: 8036.01 - lr: 0.100000
2023-04-05 12:02:11,169 epoch 2 - iter 1855/2650 - loss 0.10092398 - time (sec): 127.31 - samples/sec: 8033.53 - lr: 0.100000
2023-04-05 12:02:29,735 epoch 2 - iter 2120/2650 - loss 0.09967544 - time (sec): 145.87 - samples/sec: 8017.43 - lr: 0.100000
2023-04-05 12:02:47,627 epoch 2 - iter 2385/2650 - loss 0.09833540 - time (sec): 163.76 - samples/sec: 8034.08 - lr: 0.100000
2023-04-05 12:03:06,117 epoch 2 - iter 2650/2650 - loss 0.09679572 - time (sec): 182.26 - samples/sec: 8023.70 - lr: 0.100000
2023-04-05 12:03:06,118 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:06,118 EPOCH 2 done: loss 0.0968 - lr 0.100000
2023-04-05 12:03:06,118 BAD EPOCHS (no improvement): 0
2023-04-05 12:03:06,122 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:24,046 epoch 3 - iter 265/2650 - loss 0.08025058 - time (sec): 17.92 - samples/sec: 8120.22 - lr: 0.100000
2023-04-05 12:03:42,172 epoch 3 - iter 530/2650 - loss 0.08058853 - time (sec): 36.05 - samples/sec: 8103.13 - lr: 0.100000
2023-04-05 12:04:00,169 epoch 3 - iter 795/2650 - loss 0.08007842 - time (sec): 54.05 - samples/sec: 8111.93 - lr: 0.100000
2023-04-05 12:04:18,593 epoch 3 - iter 1060/2650 - loss 0.07989288 - time (sec): 72.47 - samples/sec: 8098.01 - lr: 0.100000
2023-04-05 12:04:37,220 epoch 3 - iter 1325/2650 - loss 0.07930660 - time (sec): 91.10 - samples/sec: 8065.14 - lr: 0.100000
2023-04-05 12:04:54,804 epoch 3 - iter 1590/2650 - loss 0.07944105 - time (sec): 108.68 - samples/sec: 8093.83 - lr: 0.100000
2023-04-05 12:05:12,398 epoch 3 - iter 1855/2650 - loss 0.07925325 - time (sec): 126.28 - samples/sec: 8107.21 - lr: 0.100000
2023-04-05 12:05:31,140 epoch 3 - iter 2120/2650 - loss 0.07934683 - time (sec): 145.02 - samples/sec: 8073.32 - lr: 0.100000
2023-04-05 12:05:49,207 epoch 3 - iter 2385/2650 - loss 0.07877380 - time (sec): 163.09 - samples/sec: 8074.20 - lr: 0.100000
2023-04-05 12:06:07,574 epoch 3 - iter 2650/2650 - loss 0.07837080 - time (sec): 181.45 - samples/sec: 8059.19 - lr: 0.100000
2023-04-05 12:06:07,575 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:07,575 EPOCH 3 done: loss 0.0784 - lr 0.100000
2023-04-05 12:06:07,575 BAD EPOCHS (no improvement): 0
2023-04-05 12:06:07,578 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:25,795 epoch 4 - iter 265/2650 - loss 0.07049225 - time (sec): 18.22 - samples/sec: 8071.06 - lr: 0.100000
2023-04-05 12:06:44,220 epoch 4 - iter 530/2650 - loss 0.06976328 - time (sec): 36.64 - samples/sec: 8003.98 - lr: 0.100000
2023-04-05 12:07:02,807 epoch 4 - iter 795/2650 - loss 0.06991982 - time (sec): 55.23 - samples/sec: 7989.04 - lr: 0.100000
2023-04-05 12:07:20,854 epoch 4 - iter 1060/2650 - loss 0.06998252 - time (sec): 73.28 - samples/sec: 8014.19 - lr: 0.100000
2023-04-05 12:07:39,283 epoch 4 - iter 1325/2650 - loss 0.07016229 - time (sec): 91.70 - samples/sec: 7986.90 - lr: 0.100000
2023-04-05 12:07:57,510 epoch 4 - iter 1590/2650 - loss 0.06961714 - time (sec): 109.93 - samples/sec: 7986.38 - lr: 0.100000
2023-04-05 12:08:15,480 epoch 4 - iter 1855/2650 - loss 0.06951484 - time (sec): 127.90 - samples/sec: 7998.26 - lr: 0.100000
2023-04-05 12:08:34,087 epoch 4 - iter 2120/2650 - loss 0.06941234 - time (sec): 146.51 - samples/sec: 7983.38 - lr: 0.100000
2023-04-05 12:08:52,262 epoch 4 - iter 2385/2650 - loss 0.06942456 - time (sec): 164.68 - samples/sec: 7995.34 - lr: 0.100000
2023-04-05 12:09:10,119 epoch 4 - iter 2650/2650 - loss 0.06943630 - time (sec): 182.54 - samples/sec: 8011.16 - lr: 0.100000
2023-04-05 12:09:10,119 ----------------------------------------------------------------------------------------------------
2023-04-05 12:09:10,119 EPOCH 4 done: loss 0.0694 - lr 0.100000
2023-04-05 12:09:10,119 BAD EPOCHS (no improvement): 0
2023-04-05 12:09:10,122 ----------------------------------------------------------------------------------------------------
2023-04-05 12:09:27,818 epoch 5 - iter 265/2650 - loss 0.06246776 - time (sec): 17.70 - samples/sec: 8255.90 - lr: 0.100000
2023-04-05 12:09:46,253 epoch 5 - iter 530/2650 - loss 0.06366999 - time (sec): 36.13 - samples/sec: 8060.63 - lr: 0.100000
2023-04-05 12:10:04,365 epoch 5 - iter 795/2650 - loss 0.06442438 - time (sec): 54.24 - samples/sec: 8087.10 - lr: 0.100000
2023-04-05 12:10:22,432 epoch 5 - iter 1060/2650 - loss 0.06458944 - time (sec): 72.31 - samples/sec: 8113.16 - lr: 0.100000
2023-04-05 12:10:40,248 epoch 5 - iter 1325/2650 - loss 0.06473427 - time (sec): 90.13 - samples/sec: 8136.97 - lr: 0.100000
2023-04-05 12:10:58,458 epoch 5 - iter 1590/2650 - loss 0.06467943 - time (sec): 108.34 - samples/sec: 8128.61 - lr: 0.100000
2023-04-05 12:11:16,416 epoch 5 - iter 1855/2650 - loss 0.06452677 - time (sec): 126.29 - samples/sec: 8127.53 - lr: 0.100000
2023-04-05 12:11:34,473 epoch 5 - iter 2120/2650 - loss 0.06426157 - time (sec): 144.35 - samples/sec: 8118.67 - lr: 0.100000
2023-04-05 12:11:53,009 epoch 5 - iter 2385/2650 - loss 0.06427012 - time (sec): 162.89 - samples/sec: 8093.25 - lr: 0.100000
2023-04-05 12:12:10,966 epoch 5 - iter 2650/2650 - loss 0.06439649 - time (sec): 180.84 - samples/sec: 8086.29 - lr: 0.100000
2023-04-05 12:12:10,967 ----------------------------------------------------------------------------------------------------
2023-04-05 12:12:10,967 EPOCH 5 done: loss 0.0644 - lr 0.100000
2023-04-05 12:12:10,967 BAD EPOCHS (no improvement): 0
2023-04-05 12:12:10,969 ----------------------------------------------------------------------------------------------------
2023-04-05 12:12:29,066 epoch 6 - iter 265/2650 - loss 0.05790724 - time (sec): 18.10 - samples/sec: 8050.64 - lr: 0.100000
2023-04-05 12:12:47,566 epoch 6 - iter 530/2650 - loss 0.05843085 - time (sec): 36.60 - samples/sec: 8010.58 - lr: 0.100000
2023-04-05 12:13:06,225 epoch 6 - iter 795/2650 - loss 0.05981691 - time (sec): 55.26 - samples/sec: 7991.76 - lr: 0.100000
2023-04-05 12:13:24,311 epoch 6 - iter 1060/2650 - loss 0.06062779 - time (sec): 73.34 - samples/sec: 8022.23 - lr: 0.100000
2023-04-05 12:13:42,282 epoch 6 - iter 1325/2650 - loss 0.06042401 - time (sec): 91.31 - samples/sec: 8028.02 - lr: 0.100000
2023-04-05 12:14:00,756 epoch 6 - iter 1590/2650 - loss 0.06056236 - time (sec): 109.79 - samples/sec: 8005.10 - lr: 0.100000
2023-04-05 12:14:18,492 epoch 6 - iter 1855/2650 - loss 0.06054906 - time (sec): 127.52 - samples/sec: 8027.15 - lr: 0.100000
2023-04-05 12:14:37,090 epoch 6 - iter 2120/2650 - loss 0.06036658 - time (sec): 146.12 - samples/sec: 8007.85 - lr: 0.100000
2023-04-05 12:14:55,412 epoch 6 - iter 2385/2650 - loss 0.06016822 - time (sec): 164.44 - samples/sec: 8003.95 - lr: 0.100000
2023-04-05 12:15:13,513 epoch 6 - iter 2650/2650 - loss 0.06042134 - time (sec): 182.54 - samples/sec: 8011.05 - lr: 0.100000
2023-04-05 12:15:13,513 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:13,513 EPOCH 6 done: loss 0.0604 - lr 0.100000
2023-04-05 12:15:13,513 BAD EPOCHS (no improvement): 0
2023-04-05 12:15:13,515 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:31,592 epoch 7 - iter 265/2650 - loss 0.05944745 - time (sec): 18.08 - samples/sec: 8097.30 - lr: 0.100000
2023-04-05 12:15:49,822 epoch 7 - iter 530/2650 - loss 0.05811368 - time (sec): 36.31 - samples/sec: 8047.47 - lr: 0.100000
2023-04-05 12:16:08,325 epoch 7 - iter 795/2650 - loss 0.05774613 - time (sec): 54.81 - samples/sec: 8025.25 - lr: 0.100000
2023-04-05 12:16:26,579 epoch 7 - iter 1060/2650 - loss 0.05767583 - time (sec): 73.06 - samples/sec: 8008.10 - lr: 0.100000
2023-04-05 12:16:44,456 epoch 7 - iter 1325/2650 - loss 0.05787860 - time (sec): 90.94 - samples/sec: 8040.02 - lr: 0.100000
2023-04-05 12:17:02,622 epoch 7 - iter 1590/2650 - loss 0.05804474 - time (sec): 109.11 - samples/sec: 8026.11 - lr: 0.100000
2023-04-05 12:17:20,506 epoch 7 - iter 1855/2650 - loss 0.05790756 - time (sec): 126.99 - samples/sec: 8051.17 - lr: 0.100000
2023-04-05 12:17:38,941 epoch 7 - iter 2120/2650 - loss 0.05810694 - time (sec): 145.43 - samples/sec: 8037.42 - lr: 0.100000
2023-04-05 12:17:57,167 epoch 7 - iter 2385/2650 - loss 0.05819172 - time (sec): 163.65 - samples/sec: 8045.04 - lr: 0.100000
2023-04-05 12:18:14,918 epoch 7 - iter 2650/2650 - loss 0.05784669 - time (sec): 181.40 - samples/sec: 8061.42 - lr: 0.100000
2023-04-05 12:18:14,919 ----------------------------------------------------------------------------------------------------
2023-04-05 12:18:14,919 EPOCH 7 done: loss 0.0578 - lr 0.100000
2023-04-05 12:18:14,919 BAD EPOCHS (no improvement): 0
2023-04-05 12:18:14,921 ----------------------------------------------------------------------------------------------------
2023-04-05 12:18:33,369 epoch 8 - iter 265/2650 - loss 0.05657238 - time (sec): 18.45 - samples/sec: 7919.80 - lr: 0.100000
2023-04-05 12:18:51,141 epoch 8 - iter 530/2650 - loss 0.05533394 - time (sec): 36.22 - samples/sec: 8040.86 - lr: 0.100000
2023-04-05 12:19:09,218 epoch 8 - iter 795/2650 - loss 0.05534134 - time (sec): 54.30 - samples/sec: 8050.31 - lr: 0.100000
2023-04-05 12:19:27,044 epoch 8 - iter 1060/2650 - loss 0.05547612 - time (sec): 72.12 - samples/sec: 8068.69 - lr: 0.100000
2023-04-05 12:19:45,283 epoch 8 - iter 1325/2650 - loss 0.05536765 - time (sec): 90.36 - samples/sec: 8059.63 - lr: 0.100000
2023-04-05 12:20:03,707 epoch 8 - iter 1590/2650 - loss 0.05538248 - time (sec): 108.79 - samples/sec: 8034.49 - lr: 0.100000
2023-04-05 12:20:22,645 epoch 8 - iter 1855/2650 - loss 0.05521424 - time (sec): 127.72 - samples/sec: 7999.41 - lr: 0.100000
2023-04-05 12:20:40,899 epoch 8 - iter 2120/2650 - loss 0.05529887 - time (sec): 145.98 - samples/sec: 8007.73 - lr: 0.100000
2023-04-05 12:20:58,846 epoch 8 - iter 2385/2650 - loss 0.05558498 - time (sec): 163.92 - samples/sec: 8025.52 - lr: 0.100000
2023-04-05 12:21:16,768 epoch 8 - iter 2650/2650 - loss 0.05546903 - time (sec): 181.85 - samples/sec: 8041.77 - lr: 0.100000
2023-04-05 12:21:16,768 ----------------------------------------------------------------------------------------------------
2023-04-05 12:21:16,768 EPOCH 8 done: loss 0.0555 - lr 0.100000
2023-04-05 12:21:16,768 BAD EPOCHS (no improvement): 0
2023-04-05 12:21:16,771 ----------------------------------------------------------------------------------------------------
2023-04-05 12:21:34,413 epoch 9 - iter 265/2650 - loss 0.05514030 - time (sec): 17.64 - samples/sec: 8221.34 - lr: 0.100000
2023-04-05 12:21:52,244 epoch 9 - iter 530/2650 - loss 0.05470129 - time (sec): 35.47 - samples/sec: 8189.50 - lr: 0.100000
2023-04-05 12:22:10,242 epoch 9 - iter 795/2650 - loss 0.05466464 - time (sec): 53.47 - samples/sec: 8139.94 - lr: 0.100000
2023-04-05 12:22:28,701 epoch 9 - iter 1060/2650 - loss 0.05434786 - time (sec): 71.93 - samples/sec: 8127.46 - lr: 0.100000
2023-04-05 12:22:46,936 epoch 9 - iter 1325/2650 - loss 0.05380690 - time (sec): 90.16 - samples/sec: 8112.07 - lr: 0.100000
2023-04-05 12:23:05,477 epoch 9 - iter 1590/2650 - loss 0.05370828 - time (sec): 108.71 - samples/sec: 8074.25 - lr: 0.100000
2023-04-05 12:23:23,573 epoch 9 - iter 1855/2650 - loss 0.05411363 - time (sec): 126.80 - samples/sec: 8077.94 - lr: 0.100000
2023-04-05 12:23:41,702 epoch 9 - iter 2120/2650 - loss 0.05427407 - time (sec): 144.93 - samples/sec: 8075.19 - lr: 0.100000
2023-04-05 12:24:00,336 epoch 9 - iter 2385/2650 - loss 0.05438808 - time (sec): 163.56 - samples/sec: 8058.71 - lr: 0.100000
2023-04-05 12:24:18,428 epoch 9 - iter 2650/2650 - loss 0.05453123 - time (sec): 181.66 - samples/sec: 8050.13 - lr: 0.100000
2023-04-05 12:24:18,429 ----------------------------------------------------------------------------------------------------
2023-04-05 12:24:18,429 EPOCH 9 done: loss 0.0545 - lr 0.100000
2023-04-05 12:24:18,429 BAD EPOCHS (no improvement): 0
2023-04-05 12:24:18,432 ----------------------------------------------------------------------------------------------------
2023-04-05 12:24:36,778 epoch 10 - iter 265/2650 - loss 0.05202438 - time (sec): 18.35 - samples/sec: 7990.81 - lr: 0.100000
2023-04-05 12:24:55,101 epoch 10 - iter 530/2650 - loss 0.05354283 - time (sec): 36.67 - samples/sec: 8013.87 - lr: 0.100000
2023-04-05 12:25:13,287 epoch 10 - iter 795/2650 - loss 0.05225011 - time (sec): 54.86 - samples/sec: 8030.12 - lr: 0.100000
2023-04-05 12:25:31,826 epoch 10 - iter 1060/2650 - loss 0.05231810 - time (sec): 73.39 - samples/sec: 7987.56 - lr: 0.100000
2023-04-05 12:25:49,712 epoch 10 - iter 1325/2650 - loss 0.05187882 - time (sec): 91.28 - samples/sec: 8022.72 - lr: 0.100000
2023-04-05 12:26:08,235 epoch 10 - iter 1590/2650 - loss 0.05216325 - time (sec): 109.80 - samples/sec: 7984.32 - lr: 0.100000
2023-04-05 12:26:26,736 epoch 10 - iter 1855/2650 - loss 0.05190296 - time (sec): 128.30 - samples/sec: 7960.04 - lr: 0.100000
2023-04-05 12:26:46,199 epoch 10 - iter 2120/2650 - loss 0.05223343 - time (sec): 147.77 - samples/sec: 7913.12 - lr: 0.100000
2023-04-05 12:27:05,152 epoch 10 - iter 2385/2650 - loss 0.05226226 - time (sec): 166.72 - samples/sec: 7893.19 - lr: 0.100000
2023-04-05 12:27:24,673 epoch 10 - iter 2650/2650 - loss 0.05210672 - time (sec): 186.24 - samples/sec: 7851.98 - lr: 0.100000
2023-04-05 12:27:24,673 ----------------------------------------------------------------------------------------------------
2023-04-05 12:27:24,673 EPOCH 10 done: loss 0.0521 - lr 0.100000
2023-04-05 12:27:24,673 BAD EPOCHS (no improvement): 0
2023-04-05 12:27:24,677 ----------------------------------------------------------------------------------------------------
2023-04-05 12:27:43,724 epoch 11 - iter 265/2650 - loss 0.05035804 - time (sec): 19.05 - samples/sec: 7672.63 - lr: 0.100000
2023-04-05 12:28:02,544 epoch 11 - iter 530/2650 - loss 0.05068606 - time (sec): 37.87 - samples/sec: 7657.07 - lr: 0.100000
2023-04-05 12:28:21,770 epoch 11 - iter 795/2650 - loss 0.05076615 - time (sec): 57.09 - samples/sec: 7656.84 - lr: 0.100000
2023-04-05 12:28:40,457 epoch 11 - iter 1060/2650 - loss 0.05043864 - time (sec): 75.78 - samples/sec: 7692.52 - lr: 0.100000
2023-04-05 12:28:59,705 epoch 11 - iter 1325/2650 - loss 0.05087034 - time (sec): 95.03 - samples/sec: 7666.45 - lr: 0.100000
2023-04-05 12:29:19,595 epoch 11 - iter 1590/2650 - loss 0.05075048 - time (sec): 114.92 - samples/sec: 7622.88 - lr: 0.100000
2023-04-05 12:29:39,059 epoch 11 - iter 1855/2650 - loss 0.05092614 - time (sec): 134.38 - samples/sec: 7610.38 - lr: 0.100000
2023-04-05 12:29:58,822 epoch 11 - iter 2120/2650 - loss 0.05130763 - time (sec): 154.15 - samples/sec: 7577.38 - lr: 0.100000
2023-04-05 12:30:17,970 epoch 11 - iter 2385/2650 - loss 0.05140729 - time (sec): 173.29 - samples/sec: 7586.29 - lr: 0.100000
2023-04-05 12:30:37,494 epoch 11 - iter 2650/2650 - loss 0.05140431 - time (sec): 192.82 - samples/sec: 7584.21 - lr: 0.100000
2023-04-05 12:30:37,494 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:37,494 EPOCH 11 done: loss 0.0514 - lr 0.100000
2023-04-05 12:30:37,494 BAD EPOCHS (no improvement): 0
2023-04-05 12:30:37,497 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:55,792 epoch 12 - iter 265/2650 - loss 0.05142969 - time (sec): 18.30 - samples/sec: 7938.95 - lr: 0.100000
2023-04-05 12:31:14,931 epoch 12 - iter 530/2650 - loss 0.05101526 - time (sec): 37.43 - samples/sec: 7786.51 - lr: 0.100000
2023-04-05 12:31:33,434 epoch 12 - iter 795/2650 - loss 0.05042159 - time (sec): 55.94 - samples/sec: 7827.24 - lr: 0.100000
2023-04-05 12:32:02,198 epoch 12 - iter 1060/2650 - loss 0.05017825 - time (sec): 84.70 - samples/sec: 6917.33 - lr: 0.100000
2023-04-05 12:32:20,821 epoch 12 - iter 1325/2650 - loss 0.05015871 - time (sec): 103.32 - samples/sec: 7091.76 - lr: 0.100000
2023-04-05 12:32:38,930 epoch 12 - iter 1590/2650 - loss 0.04990136 - time (sec): 121.43 - samples/sec: 7238.21 - lr: 0.100000
2023-04-05 12:32:57,262 epoch 12 - iter 1855/2650 - loss 0.04999932 - time (sec): 139.77 - samples/sec: 7333.36 - lr: 0.100000
2023-04-05 12:33:15,257 epoch 12 - iter 2120/2650 - loss 0.05029461 - time (sec): 157.76 - samples/sec: 7419.87 - lr: 0.100000
2023-04-05 12:33:33,647 epoch 12 - iter 2385/2650 - loss 0.05044099 - time (sec): 176.15 - samples/sec: 7475.19 - lr: 0.100000
2023-04-05 12:33:52,373 epoch 12 - iter 2650/2650 - loss 0.05025042 - time (sec): 194.88 - samples/sec: 7504.05 - lr: 0.100000
2023-04-05 12:33:52,374 ----------------------------------------------------------------------------------------------------
2023-04-05 12:33:52,374 EPOCH 12 done: loss 0.0503 - lr 0.100000
2023-04-05 12:33:52,374 BAD EPOCHS (no improvement): 0
2023-04-05 12:33:52,377 ----------------------------------------------------------------------------------------------------
2023-04-05 12:34:10,141 epoch 13 - iter 265/2650 - loss 0.04869784 - time (sec): 17.76 - samples/sec: 8147.50 - lr: 0.100000
2023-04-05 12:34:27,656 epoch 13 - iter 530/2650 - loss 0.04833886 - time (sec): 35.28 - samples/sec: 8159.86 - lr: 0.100000
2023-04-05 12:34:46,174 epoch 13 - iter 795/2650 - loss 0.04896568 - time (sec): 53.80 - samples/sec: 8094.52 - lr: 0.100000
2023-04-05 12:35:04,386 epoch 13 - iter 1060/2650 - loss 0.04934329 - time (sec): 72.01 - samples/sec: 8073.63 - lr: 0.100000
2023-04-05 12:35:22,560 epoch 13 - iter 1325/2650 - loss 0.04947801 - time (sec): 90.18 - samples/sec: 8056.63 - lr: 0.100000
2023-04-05 12:35:41,217 epoch 13 - iter 1590/2650 - loss 0.04976344 - time (sec): 108.84 - samples/sec: 8049.25 - lr: 0.100000
2023-04-05 12:36:00,059 epoch 13 - iter 1855/2650 - loss 0.04957149 - time (sec): 127.68 - samples/sec: 8005.30 - lr: 0.100000
2023-04-05 12:36:18,102 epoch 13 - iter 2120/2650 - loss 0.04917012 - time (sec): 145.73 - samples/sec: 8022.10 - lr: 0.100000
2023-04-05 12:36:36,131 epoch 13 - iter 2385/2650 - loss 0.04929011 - time (sec): 163.75 - samples/sec: 8034.14 - lr: 0.100000
2023-04-05 12:36:53,884 epoch 13 - iter 2650/2650 - loss 0.04929423 - time (sec): 181.51 - samples/sec: 8056.77 - lr: 0.100000
2023-04-05 12:36:53,885 ----------------------------------------------------------------------------------------------------
2023-04-05 12:36:53,885 EPOCH 13 done: loss 0.0493 - lr 0.100000
2023-04-05 12:36:53,885 BAD EPOCHS (no improvement): 0
2023-04-05 12:36:53,887 ----------------------------------------------------------------------------------------------------
2023-04-05 12:37:11,558 epoch 14 - iter 265/2650 - loss 0.05070119 - time (sec): 17.67 - samples/sec: 8249.23 - lr: 0.100000
2023-04-05 12:37:29,406 epoch 14 - iter 530/2650 - loss 0.04894219 - time (sec): 35.52 - samples/sec: 8190.81 - lr: 0.100000
2023-04-05 12:37:47,594 epoch 14 - iter 795/2650 - loss 0.04830202 - time (sec): 53.71 - samples/sec: 8125.62 - lr: 0.100000
2023-04-05 12:38:06,375 epoch 14 - iter 1060/2650 - loss 0.04896686 - time (sec): 72.49 - samples/sec: 8083.61 - lr: 0.100000
2023-04-05 12:38:25,103 epoch 14 - iter 1325/2650 - loss 0.04885832 - time (sec): 91.22 - samples/sec: 8050.97 - lr: 0.100000
2023-04-05 12:38:42,814 epoch 14 - iter 1590/2650 - loss 0.04900945 - time (sec): 108.93 - samples/sec: 8069.28 - lr: 0.100000
2023-04-05 12:39:00,686 epoch 14 - iter 1855/2650 - loss 0.04879396 - time (sec): 126.80 - samples/sec: 8086.54 - lr: 0.100000
2023-04-05 12:39:19,624 epoch 14 - iter 2120/2650 - loss 0.04914099 - time (sec): 145.74 - samples/sec: 8052.80 - lr: 0.100000
2023-04-05 12:39:37,651 epoch 14 - iter 2385/2650 - loss 0.04917636 - time (sec): 163.76 - samples/sec: 8051.35 - lr: 0.100000
2023-04-05 12:39:55,112 epoch 14 - iter 2650/2650 - loss 0.04912956 - time (sec): 181.22 - samples/sec: 8069.36 - lr: 0.100000
2023-04-05 12:39:55,112 ----------------------------------------------------------------------------------------------------
2023-04-05 12:39:55,112 EPOCH 14 done: loss 0.0491 - lr 0.100000
2023-04-05 12:39:55,112 BAD EPOCHS (no improvement): 0
2023-04-05 12:39:55,114 ----------------------------------------------------------------------------------------------------
2023-04-05 12:40:13,562 epoch 15 - iter 265/2650 - loss 0.04770681 - time (sec): 18.45 - samples/sec: 8048.53 - lr: 0.100000
2023-04-05 12:40:31,328 epoch 15 - iter 530/2650 - loss 0.04720848 - time (sec): 36.21 - samples/sec: 8146.94 - lr: 0.100000
2023-04-05 12:40:49,363 epoch 15 - iter 795/2650 - loss 0.04785518 - time (sec): 54.25 - samples/sec: 8146.11 - lr: 0.100000
2023-04-05 12:41:07,786 epoch 15 - iter 1060/2650 - loss 0.04800242 - time (sec): 72.67 - samples/sec: 8077.61 - lr: 0.100000
2023-04-05 12:41:25,997 epoch 15 - iter 1325/2650 - loss 0.04822847 - time (sec): 90.88 - samples/sec: 8073.97 - lr: 0.100000
2023-04-05 12:41:44,124 epoch 15 - iter 1590/2650 - loss 0.04824853 - time (sec): 109.01 - samples/sec: 8075.87 - lr: 0.100000
2023-04-05 12:42:02,573 epoch 15 - iter 1855/2650 - loss 0.04802729 - time (sec): 127.46 - samples/sec: 8058.30 - lr: 0.100000
2023-04-05 12:42:20,962 epoch 15 - iter 2120/2650 - loss 0.04827911 - time (sec): 145.85 - samples/sec: 8040.04 - lr: 0.100000
2023-04-05 12:42:38,237 epoch 15 - iter 2385/2650 - loss 0.04837887 - time (sec): 163.12 - samples/sec: 8065.94 - lr: 0.100000
2023-04-05 12:42:56,431 epoch 15 - iter 2650/2650 - loss 0.04811435 - time (sec): 181.32 - samples/sec: 8065.24 - lr: 0.100000
2023-04-05 12:42:56,431 ----------------------------------------------------------------------------------------------------
2023-04-05 12:42:56,431 EPOCH 15 done: loss 0.0481 - lr 0.100000
2023-04-05 12:42:56,432 BAD EPOCHS (no improvement): 0
2023-04-05 12:42:56,434 ----------------------------------------------------------------------------------------------------
2023-04-05 12:43:14,635 epoch 16 - iter 265/2650 - loss 0.04630785 - time (sec): 18.20 - samples/sec: 8009.11 - lr: 0.100000
2023-04-05 12:43:32,318 epoch 16 - iter 530/2650 - loss 0.04618502 - time (sec): 35.88 - samples/sec: 8104.27 - lr: 0.100000
2023-04-05 12:43:50,542 epoch 16 - iter 795/2650 - loss 0.04635297 - time (sec): 54.11 - samples/sec: 8095.55 - lr: 0.100000
2023-04-05 12:44:08,855 epoch 16 - iter 1060/2650 - loss 0.04636492 - time (sec): 72.42 - samples/sec: 8066.14 - lr: 0.100000
2023-04-05 12:44:27,258 epoch 16 - iter 1325/2650 - loss 0.04690913 - time (sec): 90.82 - samples/sec: 8045.54 - lr: 0.100000
2023-04-05 12:44:45,564 epoch 16 - iter 1590/2650 - loss 0.04724407 - time (sec): 109.13 - samples/sec: 8032.83 - lr: 0.100000
2023-04-05 12:45:03,846 epoch 16 - iter 1855/2650 - loss 0.04734092 - time (sec): 127.41 - samples/sec: 8035.39 - lr: 0.100000
2023-04-05 12:45:21,556 epoch 16 - iter 2120/2650 - loss 0.04739831 - time (sec): 145.12 - samples/sec: 8051.10 - lr: 0.100000
2023-04-05 12:45:39,934 epoch 16 - iter 2385/2650 - loss 0.04710078 - time (sec): 163.50 - samples/sec: 8043.60 - lr: 0.100000
2023-04-05 12:45:58,148 epoch 16 - iter 2650/2650 - loss 0.04717087 - time (sec): 181.71 - samples/sec: 8047.64 - lr: 0.100000
2023-04-05 12:45:58,148 ----------------------------------------------------------------------------------------------------
2023-04-05 12:45:58,148 EPOCH 16 done: loss 0.0472 - lr 0.100000
2023-04-05 12:45:58,148 BAD EPOCHS (no improvement): 0
2023-04-05 12:45:58,151 ----------------------------------------------------------------------------------------------------
2023-04-05 12:46:15,780 epoch 17 - iter 265/2650 - loss 0.04447271 - time (sec): 17.63 - samples/sec: 8296.63 - lr: 0.100000
2023-04-05 12:46:33,987 epoch 17 - iter 530/2650 - loss 0.04585046 - time (sec): 35.84 - samples/sec: 8211.57 - lr: 0.100000
2023-04-05 12:46:52,536 epoch 17 - iter 795/2650 - loss 0.04658852 - time (sec): 54.38 - samples/sec: 8111.57 - lr: 0.100000
2023-04-05 12:47:10,623 epoch 17 - iter 1060/2650 - loss 0.04711308 - time (sec): 72.47 - samples/sec: 8110.04 - lr: 0.100000
2023-04-05 12:47:29,006 epoch 17 - iter 1325/2650 - loss 0.04699361 - time (sec): 90.86 - samples/sec: 8090.16 - lr: 0.100000
2023-04-05 12:47:46,870 epoch 17 - iter 1590/2650 - loss 0.04695491 - time (sec): 108.72 - samples/sec: 8077.02 - lr: 0.100000
2023-04-05 12:48:05,515 epoch 17 - iter 1855/2650 - loss 0.04724098 - time (sec): 127.36 - samples/sec: 8044.65 - lr: 0.100000
2023-04-05 12:48:23,969 epoch 17 - iter 2120/2650 - loss 0.04700970 - time (sec): 145.82 - samples/sec: 8032.33 - lr: 0.100000
2023-04-05 12:48:42,057 epoch 17 - iter 2385/2650 - loss 0.04706724 - time (sec): 163.91 - samples/sec: 8046.61 - lr: 0.100000
2023-04-05 12:48:59,697 epoch 17 - iter 2650/2650 - loss 0.04712588 - time (sec): 181.55 - samples/sec: 8055.04 - lr: 0.100000
2023-04-05 12:48:59,698 ----------------------------------------------------------------------------------------------------
2023-04-05 12:48:59,698 EPOCH 17 done: loss 0.0471 - lr 0.100000
2023-04-05 12:48:59,698 BAD EPOCHS (no improvement): 0
2023-04-05 12:48:59,700 ----------------------------------------------------------------------------------------------------
2023-04-05 12:49:17,779 epoch 18 - iter 265/2650 - loss 0.04534113 - time (sec): 18.08 - samples/sec: 8105.65 - lr: 0.100000
2023-04-05 12:49:36,247 epoch 18 - iter 530/2650 - loss 0.04500882 - time (sec): 36.55 - samples/sec: 8037.67 - lr: 0.100000
2023-04-05 12:49:54,903 epoch 18 - iter 795/2650 - loss 0.04562249 - time (sec): 55.20 - samples/sec: 7966.61 - lr: 0.100000
2023-04-05 12:50:12,466 epoch 18 - iter 1060/2650 - loss 0.04584471 - time (sec): 72.77 - samples/sec: 8031.68 - lr: 0.100000
2023-04-05 12:50:30,446 epoch 18 - iter 1325/2650 - loss 0.04577433 - time (sec): 90.75 - samples/sec: 8050.38 - lr: 0.100000
2023-04-05 12:50:48,330 epoch 18 - iter 1590/2650 - loss 0.04584530 - time (sec): 108.63 - samples/sec: 8066.93 - lr: 0.100000
2023-04-05 12:51:06,888 epoch 18 - iter 1855/2650 - loss 0.04614281 - time (sec): 127.19 - samples/sec: 8049.02 - lr: 0.100000
2023-04-05 12:51:25,822 epoch 18 - iter 2120/2650 - loss 0.04605253 - time (sec): 146.12 - samples/sec: 8012.92 - lr: 0.100000
2023-04-05 12:51:43,924 epoch 18 - iter 2385/2650 - loss 0.04626635 - time (sec): 164.22 - samples/sec: 8018.25 - lr: 0.100000
2023-04-05 12:52:01,853 epoch 18 - iter 2650/2650 - loss 0.04661335 - time (sec): 182.15 - samples/sec: 8028.23 - lr: 0.100000
2023-04-05 12:52:01,853 ----------------------------------------------------------------------------------------------------
2023-04-05 12:52:01,853 EPOCH 18 done: loss 0.0466 - lr 0.100000
2023-04-05 12:52:01,853 BAD EPOCHS (no improvement): 0
2023-04-05 12:52:01,856 ----------------------------------------------------------------------------------------------------
2023-04-05 12:52:19,663 epoch 19 - iter 265/2650 - loss 0.04505265 - time (sec): 17.81 - samples/sec: 8223.56 - lr: 0.100000
2023-04-05 12:52:38,041 epoch 19 - iter 530/2650 - loss 0.04439638 - time (sec): 36.19 - samples/sec: 8091.02 - lr: 0.100000
2023-04-05 12:52:56,615 epoch 19 - iter 795/2650 - loss 0.04423008 - time (sec): 54.76 - samples/sec: 8018.48 - lr: 0.100000
2023-04-05 12:53:15,321 epoch 19 - iter 1060/2650 - loss 0.04499290 - time (sec): 73.47 - samples/sec: 7975.07 - lr: 0.100000
2023-04-05 12:53:33,845 epoch 19 - iter 1325/2650 - loss 0.04562271 - time (sec): 91.99 - samples/sec: 7982.62 - lr: 0.100000
2023-04-05 12:53:51,826 epoch 19 - iter 1590/2650 - loss 0.04546048 - time (sec): 109.97 - samples/sec: 7994.45 - lr: 0.100000
2023-04-05 12:54:09,327 epoch 19 - iter 1855/2650 - loss 0.04558059 - time (sec): 127.47 - samples/sec: 8030.34 - lr: 0.100000
2023-04-05 12:54:27,628 epoch 19 - iter 2120/2650 - loss 0.04570780 - time (sec): 145.77 - samples/sec: 8024.29 - lr: 0.100000
2023-04-05 12:54:46,386 epoch 19 - iter 2385/2650 - loss 0.04587781 - time (sec): 164.53 - samples/sec: 8003.36 - lr: 0.100000
2023-04-05 12:55:04,505 epoch 19 - iter 2650/2650 - loss 0.04580571 - time (sec): 182.65 - samples/sec: 8006.42 - lr: 0.100000
2023-04-05 12:55:04,505 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:04,505 EPOCH 19 done: loss 0.0458 - lr 0.100000
2023-04-05 12:55:04,505 BAD EPOCHS (no improvement): 0
2023-04-05 12:55:04,508 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:22,556 epoch 20 - iter 265/2650 - loss 0.04387430 - time (sec): 18.05 - samples/sec: 8116.85 - lr: 0.100000
2023-04-05 12:55:40,810 epoch 20 - iter 530/2650 - loss 0.04445772 - time (sec): 36.30 - samples/sec: 8050.00 - lr: 0.100000
2023-04-05 12:55:58,705 epoch 20 - iter 795/2650 - loss 0.04438246 - time (sec): 54.20 - samples/sec: 8073.68 - lr: 0.100000
2023-04-05 12:56:16,861 epoch 20 - iter 1060/2650 - loss 0.04488826 - time (sec): 72.35 - samples/sec: 8076.96 - lr: 0.100000
2023-04-05 12:56:35,426 epoch 20 - iter 1325/2650 - loss 0.04515160 - time (sec): 90.92 - samples/sec: 8050.84 - lr: 0.100000
2023-04-05 12:56:53,780 epoch 20 - iter 1590/2650 - loss 0.04503194 - time (sec): 109.27 - samples/sec: 8033.88 - lr: 0.100000
2023-04-05 12:57:12,307 epoch 20 - iter 1855/2650 - loss 0.04513114 - time (sec): 127.80 - samples/sec: 8018.82 - lr: 0.100000
2023-04-05 12:57:30,000 epoch 20 - iter 2120/2650 - loss 0.04504153 - time (sec): 145.49 - samples/sec: 8044.30 - lr: 0.100000
2023-04-05 12:57:48,103 epoch 20 - iter 2385/2650 - loss 0.04545527 - time (sec): 163.60 - samples/sec: 8053.17 - lr: 0.100000
2023-04-05 12:58:06,486 epoch 20 - iter 2650/2650 - loss 0.04538527 - time (sec): 181.98 - samples/sec: 8035.91 - lr: 0.100000
2023-04-05 12:58:06,486 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:06,486 EPOCH 20 done: loss 0.0454 - lr 0.100000
2023-04-05 12:58:06,486 BAD EPOCHS (no improvement): 0
2023-04-05 12:58:06,489 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:24,763 epoch 21 - iter 265/2650 - loss 0.04522860 - time (sec): 18.27 - samples/sec: 8080.58 - lr: 0.100000
2023-04-05 12:58:43,172 epoch 21 - iter 530/2650 - loss 0.04444685 - time (sec): 36.68 - samples/sec: 8004.57 - lr: 0.100000
2023-04-05 12:59:01,115 epoch 21 - iter 795/2650 - loss 0.04384121 - time (sec): 54.63 - samples/sec: 8025.63 - lr: 0.100000
2023-04-05 12:59:19,124 epoch 21 - iter 1060/2650 - loss 0.04426612 - time (sec): 72.63 - samples/sec: 8045.44 - lr: 0.100000
2023-04-05 12:59:37,427 epoch 21 - iter 1325/2650 - loss 0.04421822 - time (sec): 90.94 - samples/sec: 8020.56 - lr: 0.100000
2023-04-05 12:59:56,261 epoch 21 - iter 1590/2650 - loss 0.04453069 - time (sec): 109.77 - samples/sec: 7992.37 - lr: 0.100000
2023-04-05 13:00:14,296 epoch 21 - iter 1855/2650 - loss 0.04465350 - time (sec): 127.81 - samples/sec: 8008.44 - lr: 0.100000
2023-04-05 13:00:33,220 epoch 21 - iter 2120/2650 - loss 0.04460016 - time (sec): 146.73 - samples/sec: 7972.62 - lr: 0.100000
2023-04-05 13:00:51,801 epoch 21 - iter 2385/2650 - loss 0.04483597 - time (sec): 165.31 - samples/sec: 7965.23 - lr: 0.100000
2023-04-05 13:01:10,085 epoch 21 - iter 2650/2650 - loss 0.04493471 - time (sec): 183.60 - samples/sec: 7965.12 - lr: 0.100000
2023-04-05 13:01:10,085 ----------------------------------------------------------------------------------------------------
2023-04-05 13:01:10,085 EPOCH 21 done: loss 0.0449 - lr 0.100000
2023-04-05 13:01:10,085 BAD EPOCHS (no improvement): 0
2023-04-05 13:01:10,090 ----------------------------------------------------------------------------------------------------
2023-04-05 13:01:28,506 epoch 22 - iter 265/2650 - loss 0.04511821 - time (sec): 18.42 - samples/sec: 7943.87 - lr: 0.100000
2023-04-05 13:01:46,489 epoch 22 - iter 530/2650 - loss 0.04502722 - time (sec): 36.40 - samples/sec: 8024.47 - lr: 0.100000
2023-04-05 13:02:05,121 epoch 22 - iter 795/2650 - loss 0.04494844 - time (sec): 55.03 - samples/sec: 8003.25 - lr: 0.100000
2023-04-05 13:02:22,948 epoch 22 - iter 1060/2650 - loss 0.04452581 - time (sec): 72.86 - samples/sec: 8043.82 - lr: 0.100000
2023-04-05 13:02:41,650 epoch 22 - iter 1325/2650 - loss 0.04475034 - time (sec): 91.56 - samples/sec: 7993.55 - lr: 0.100000
2023-04-05 13:02:59,787 epoch 22 - iter 1590/2650 - loss 0.04504895 - time (sec): 109.70 - samples/sec: 7999.96 - lr: 0.100000
2023-04-05 13:03:17,907 epoch 22 - iter 1855/2650 - loss 0.04496822 - time (sec): 127.82 - samples/sec: 8005.83 - lr: 0.100000
2023-04-05 13:03:36,089 epoch 22 - iter 2120/2650 - loss 0.04484396 - time (sec): 146.00 - samples/sec: 8017.54 - lr: 0.100000
2023-04-05 13:03:54,119 epoch 22 - iter 2385/2650 - loss 0.04474206 - time (sec): 164.03 - samples/sec: 8024.17 - lr: 0.100000
2023-04-05 13:04:13,239 epoch 22 - iter 2650/2650 - loss 0.04474036 - time (sec): 183.15 - samples/sec: 7984.58 - lr: 0.100000
2023-04-05 13:04:13,239 ----------------------------------------------------------------------------------------------------
2023-04-05 13:04:13,239 EPOCH 22 done: loss 0.0447 - lr 0.100000
2023-04-05 13:04:13,239 BAD EPOCHS (no improvement): 0
2023-04-05 13:04:13,244 ----------------------------------------------------------------------------------------------------
2023-04-05 13:04:31,485 epoch 23 - iter 265/2650 - loss 0.04164168 - time (sec): 18.24 - samples/sec: 8010.15 - lr: 0.100000
2023-04-05 13:04:49,785 epoch 23 - iter 530/2650 - loss 0.04364843 - time (sec): 36.54 - samples/sec: 7985.82 - lr: 0.100000
2023-04-05 13:05:07,837 epoch 23 - iter 795/2650 - loss 0.04316618 - time (sec): 54.59 - samples/sec: 8019.92 - lr: 0.100000
2023-04-05 13:05:25,713 epoch 23 - iter 1060/2650 - loss 0.04361513 - time (sec): 72.47 - samples/sec: 8053.57 - lr: 0.100000
2023-04-05 13:05:44,054 epoch 23 - iter 1325/2650 - loss 0.04343084 - time (sec): 90.81 - samples/sec: 8047.12 - lr: 0.100000
2023-04-05 13:06:02,262 epoch 23 - iter 1590/2650 - loss 0.04345269 - time (sec): 109.02 - samples/sec: 8044.96 - lr: 0.100000
2023-04-05 13:06:20,685 epoch 23 - iter 1855/2650 - loss 0.04372976 - time (sec): 127.44 - samples/sec: 8041.28 - lr: 0.100000
2023-04-05 13:06:38,923 epoch 23 - iter 2120/2650 - loss 0.04398138 - time (sec): 145.68 - samples/sec: 8035.93 - lr: 0.100000
2023-04-05 13:06:56,837 epoch 23 - iter 2385/2650 - loss 0.04379402 - time (sec): 163.59 - samples/sec: 8041.68 - lr: 0.100000
2023-04-05 13:07:15,197 epoch 23 - iter 2650/2650 - loss 0.04418538 - time (sec): 181.95 - samples/sec: 8037.04 - lr: 0.100000
2023-04-05 13:07:15,198 ----------------------------------------------------------------------------------------------------
2023-04-05 13:07:15,198 EPOCH 23 done: loss 0.0442 - lr 0.100000
2023-04-05 13:07:15,198 BAD EPOCHS (no improvement): 0
2023-04-05 13:07:15,201 ----------------------------------------------------------------------------------------------------
2023-04-05 13:07:33,174 epoch 24 - iter 265/2650 - loss 0.04156197 - time (sec): 17.97 - samples/sec: 8098.87 - lr: 0.100000
2023-04-05 13:07:51,024 epoch 24 - iter 530/2650 - loss 0.04331153 - time (sec): 35.82 - samples/sec: 8121.57 - lr: 0.100000
2023-04-05 13:08:09,442 epoch 24 - iter 795/2650 - loss 0.04350761 - time (sec): 54.24 - samples/sec: 8062.68 - lr: 0.100000
2023-04-05 13:08:27,523 epoch 24 - iter 1060/2650 - loss 0.04390878 - time (sec): 72.32 - samples/sec: 8086.50 - lr: 0.100000
2023-04-05 13:08:45,934 epoch 24 - iter 1325/2650 - loss 0.04354562 - time (sec): 90.73 - samples/sec: 8048.27 - lr: 0.100000
2023-04-05 13:09:04,836 epoch 24 - iter 1590/2650 - loss 0.04379741 - time (sec): 109.63 - samples/sec: 8022.50 - lr: 0.100000
2023-04-05 13:09:22,518 epoch 24 - iter 1855/2650 - loss 0.04377413 - time (sec): 127.32 - samples/sec: 8042.13 - lr: 0.100000
2023-04-05 13:09:40,840 epoch 24 - iter 2120/2650 - loss 0.04379683 - time (sec): 145.64 - samples/sec: 8029.57 - lr: 0.100000
2023-04-05 13:09:59,397 epoch 24 - iter 2385/2650 - loss 0.04376487 - time (sec): 164.20 - samples/sec: 8020.88 - lr: 0.100000
2023-04-05 13:10:17,691 epoch 24 - iter 2650/2650 - loss 0.04388423 - time (sec): 182.49 - samples/sec: 8013.40 - lr: 0.100000
2023-04-05 13:10:17,691 ----------------------------------------------------------------------------------------------------
2023-04-05 13:10:17,691 EPOCH 24 done: loss 0.0439 - lr 0.100000
2023-04-05 13:10:17,691 BAD EPOCHS (no improvement): 0
2023-04-05 13:10:17,695 ----------------------------------------------------------------------------------------------------
2023-04-05 13:10:36,202 epoch 25 - iter 265/2650 - loss 0.04323290 - time (sec): 18.51 - samples/sec: 7923.02 - lr: 0.100000
2023-04-05 13:10:54,315 epoch 25 - iter 530/2650 - loss 0.04310124 - time (sec): 36.62 - samples/sec: 7965.22 - lr: 0.100000
2023-04-05 13:11:13,064 epoch 25 - iter 795/2650 - loss 0.04346477 - time (sec): 55.37 - samples/sec: 7951.91 - lr: 0.100000
2023-04-05 13:11:30,965 epoch 25 - iter 1060/2650 - loss 0.04365669 - time (sec): 73.27 - samples/sec: 8003.17 - lr: 0.100000
2023-04-05 13:11:48,934 epoch 25 - iter 1325/2650 - loss 0.04364555 - time (sec): 91.24 - samples/sec: 8035.12 - lr: 0.100000
2023-04-05 13:12:07,418 epoch 25 - iter 1590/2650 - loss 0.04344050 - time (sec): 109.72 - samples/sec: 8018.26 - lr: 0.100000
2023-04-05 13:12:25,485 epoch 25 - iter 1855/2650 - loss 0.04342011 - time (sec): 127.79 - samples/sec: 8022.96 - lr: 0.100000
2023-04-05 13:12:43,559 epoch 25 - iter 2120/2650 - loss 0.04361445 - time (sec): 145.86 - samples/sec: 8027.99 - lr: 0.100000
2023-04-05 13:13:02,004 epoch 25 - iter 2385/2650 - loss 0.04374248 - time (sec): 164.31 - samples/sec: 8021.44 - lr: 0.100000
2023-04-05 13:13:20,063 epoch 25 - iter 2650/2650 - loss 0.04363611 - time (sec): 182.37 - samples/sec: 8018.72 - lr: 0.100000
2023-04-05 13:13:20,064 ----------------------------------------------------------------------------------------------------
2023-04-05 13:13:20,064 EPOCH 25 done: loss 0.0436 - lr 0.100000
2023-04-05 13:13:20,064 BAD EPOCHS (no improvement): 0
2023-04-05 13:13:20,067 ----------------------------------------------------------------------------------------------------
2023-04-05 13:13:38,392 epoch 26 - iter 265/2650 - loss 0.04477252 - time (sec): 18.32 - samples/sec: 7968.92 - lr: 0.100000
2023-04-05 13:13:56,495 epoch 26 - iter 530/2650 - loss 0.04367345 - time (sec): 36.43 - samples/sec: 7969.02 - lr: 0.100000
2023-04-05 13:14:14,737 epoch 26 - iter 795/2650 - loss 0.04407882 - time (sec): 54.67 - samples/sec: 7998.34 - lr: 0.100000
2023-04-05 13:14:32,645 epoch 26 - iter 1060/2650 - loss 0.04416501 - time (sec): 72.58 - samples/sec: 8034.64 - lr: 0.100000
2023-04-05 13:14:51,277 epoch 26 - iter 1325/2650 - loss 0.04376531 - time (sec): 91.21 - samples/sec: 8006.96 - lr: 0.100000
2023-04-05 13:15:09,363 epoch 26 - iter 1590/2650 - loss 0.04380597 - time (sec): 109.30 - samples/sec: 8018.65 - lr: 0.100000
2023-04-05 13:15:27,651 epoch 26 - iter 1855/2650 - loss 0.04374117 - time (sec): 127.58 - samples/sec: 8029.18 - lr: 0.100000
2023-04-05 13:15:45,676 epoch 26 - iter 2120/2650 - loss 0.04389153 - time (sec): 145.61 - samples/sec: 8036.39 - lr: 0.100000
2023-04-05 13:16:03,889 epoch 26 - iter 2385/2650 - loss 0.04381933 - time (sec): 163.82 - samples/sec: 8032.26 - lr: 0.100000
2023-04-05 13:16:22,078 epoch 26 - iter 2650/2650 - loss 0.04370044 - time (sec): 182.01 - samples/sec: 8034.50 - lr: 0.100000
2023-04-05 13:16:22,078 ----------------------------------------------------------------------------------------------------
2023-04-05 13:16:22,078 EPOCH 26 done: loss 0.0437 - lr 0.100000
2023-04-05 13:16:22,078 BAD EPOCHS (no improvement): 1
2023-04-05 13:16:22,082 ----------------------------------------------------------------------------------------------------
2023-04-05 13:16:40,599 epoch 27 - iter 265/2650 - loss 0.04403857 - time (sec): 18.52 - samples/sec: 7872.04 - lr: 0.100000
2023-04-05 13:16:59,011 epoch 27 - iter 530/2650 - loss 0.04311112 - time (sec): 36.93 - samples/sec: 7928.55 - lr: 0.100000
2023-04-05 13:17:17,221 epoch 27 - iter 795/2650 - loss 0.04312914 - time (sec): 55.14 - samples/sec: 7954.66 - lr: 0.100000
2023-04-05 13:17:35,292 epoch 27 - iter 1060/2650 - loss 0.04346302 - time (sec): 73.21 - samples/sec: 7972.79 - lr: 0.100000
2023-04-05 13:17:53,453 epoch 27 - iter 1325/2650 - loss 0.04320810 - time (sec): 91.37 - samples/sec: 7988.86 - lr: 0.100000
2023-04-05 13:18:11,353 epoch 27 - iter 1590/2650 - loss 0.04322007 - time (sec): 109.27 - samples/sec: 8024.30 - lr: 0.100000
2023-04-05 13:18:29,425 epoch 27 - iter 1855/2650 - loss 0.04326717 - time (sec): 127.34 - samples/sec: 8036.24 - lr: 0.100000
2023-04-05 13:18:47,808 epoch 27 - iter 2120/2650 - loss 0.04329751 - time (sec): 145.73 - samples/sec: 8033.30 - lr: 0.100000
2023-04-05 13:19:05,711 epoch 27 - iter 2385/2650 - loss 0.04329392 - time (sec): 163.63 - samples/sec: 8048.31 - lr: 0.100000
2023-04-05 13:19:33,416 epoch 27 - iter 2650/2650 - loss 0.04321950 - time (sec): 191.33 - samples/sec: 7642.96 - lr: 0.100000
2023-04-05 13:19:33,417 ----------------------------------------------------------------------------------------------------
2023-04-05 13:19:33,417 EPOCH 27 done: loss 0.0432 - lr 0.100000
2023-04-05 13:19:33,417 BAD EPOCHS (no improvement): 0
2023-04-05 13:19:33,419 ----------------------------------------------------------------------------------------------------
2023-04-05 13:19:51,483 epoch 28 - iter 265/2650 - loss 0.04074091 - time (sec): 18.06 - samples/sec: 8063.48 - lr: 0.100000
2023-04-05 13:20:09,382 epoch 28 - iter 530/2650 - loss 0.04096435 - time (sec): 35.96 - samples/sec: 8130.18 - lr: 0.100000
2023-04-05 13:20:27,302 epoch 28 - iter 795/2650 - loss 0.04174707 - time (sec): 53.88 - samples/sec: 8134.68 - lr: 0.100000
2023-04-05 13:20:45,630 epoch 28 - iter 1060/2650 - loss 0.04178587 - time (sec): 72.21 - samples/sec: 8104.29 - lr: 0.100000
2023-04-05 13:21:03,244 epoch 28 - iter 1325/2650 - loss 0.04190726 - time (sec): 89.82 - samples/sec: 8126.26 - lr: 0.100000
2023-04-05 13:21:21,365 epoch 28 - iter 1590/2650 - loss 0.04200885 - time (sec): 107.95 - samples/sec: 8107.54 - lr: 0.100000
2023-04-05 13:21:39,657 epoch 28 - iter 1855/2650 - loss 0.04210387 - time (sec): 126.24 - samples/sec: 8095.57 - lr: 0.100000
2023-04-05 13:21:58,459 epoch 28 - iter 2120/2650 - loss 0.04225489 - time (sec): 145.04 - samples/sec: 8064.57 - lr: 0.100000
2023-04-05 13:22:16,148 epoch 28 - iter 2385/2650 - loss 0.04275993 - time (sec): 162.73 - samples/sec: 8083.56 - lr: 0.100000
2023-04-05 13:22:34,737 epoch 28 - iter 2650/2650 - loss 0.04290212 - time (sec): 181.32 - samples/sec: 8065.20 - lr: 0.100000
2023-04-05 13:22:34,738 ----------------------------------------------------------------------------------------------------
2023-04-05 13:22:34,738 EPOCH 28 done: loss 0.0429 - lr 0.100000
2023-04-05 13:22:34,738 BAD EPOCHS (no improvement): 0
2023-04-05 13:22:34,740 ----------------------------------------------------------------------------------------------------
2023-04-05 13:22:52,768 epoch 29 - iter 265/2650 - loss 0.04376124 - time (sec): 18.03 - samples/sec: 8084.80 - lr: 0.100000
2023-04-05 13:23:10,719 epoch 29 - iter 530/2650 - loss 0.04263117 - time (sec): 35.98 - samples/sec: 8133.67 - lr: 0.100000
2023-04-05 13:23:29,475 epoch 29 - iter 795/2650 - loss 0.04264667 - time (sec): 54.73 - samples/sec: 8052.02 - lr: 0.100000
2023-04-05 13:23:47,549 epoch 29 - iter 1060/2650 - loss 0.04260931 - time (sec): 72.81 - samples/sec: 8058.13 - lr: 0.100000
2023-04-05 13:24:05,636 epoch 29 - iter 1325/2650 - loss 0.04231919 - time (sec): 90.90 - samples/sec: 8057.40 - lr: 0.100000
2023-04-05 13:24:23,448 epoch 29 - iter 1590/2650 - loss 0.04242064 - time (sec): 108.71 - samples/sec: 8079.12 - lr: 0.100000
2023-04-05 13:24:42,780 epoch 29 - iter 1855/2650 - loss 0.04259660 - time (sec): 128.04 - samples/sec: 8010.49 - lr: 0.100000
2023-04-05 13:25:00,948 epoch 29 - iter 2120/2650 - loss 0.04236871 - time (sec): 146.21 - samples/sec: 8003.30 - lr: 0.100000
2023-04-05 13:25:19,634 epoch 29 - iter 2385/2650 - loss 0.04241459 - time (sec): 164.89 - samples/sec: 7979.20 - lr: 0.100000
2023-04-05 13:25:38,473 epoch 29 - iter 2650/2650 - loss 0.04279556 - time (sec): 183.73 - samples/sec: 7959.19 - lr: 0.100000
2023-04-05 13:25:38,473 ----------------------------------------------------------------------------------------------------
2023-04-05 13:25:38,473 EPOCH 29 done: loss 0.0428 - lr 0.100000
2023-04-05 13:25:38,473 BAD EPOCHS (no improvement): 0
2023-04-05 13:25:38,476 ----------------------------------------------------------------------------------------------------
2023-04-05 13:25:57,144 epoch 30 - iter 265/2650 - loss 0.04278590 - time (sec): 18.67 - samples/sec: 7813.60 - lr: 0.100000
2023-04-05 13:26:16,476 epoch 30 - iter 530/2650 - loss 0.04287335 - time (sec): 38.00 - samples/sec: 7710.33 - lr: 0.100000
2023-04-05 13:26:35,938 epoch 30 - iter 795/2650 - loss 0.04271567 - time (sec): 57.46 - samples/sec: 7659.00 - lr: 0.100000
2023-04-05 13:26:54,342 epoch 30 - iter 1060/2650 - loss 0.04278500 - time (sec): 75.87 - samples/sec: 7685.83 - lr: 0.100000
2023-04-05 13:27:13,343 epoch 30 - iter 1325/2650 - loss 0.04283643 - time (sec): 94.87 - samples/sec: 7695.19 - lr: 0.100000
2023-04-05 13:27:31,356 epoch 30 - iter 1590/2650 - loss 0.04278760 - time (sec): 112.88 - samples/sec: 7755.23 - lr: 0.100000
2023-04-05 13:27:51,356 epoch 30 - iter 1855/2650 - loss 0.04262510 - time (sec): 132.88 - samples/sec: 7700.43 - lr: 0.100000
2023-04-05 13:28:10,329 epoch 30 - iter 2120/2650 - loss 0.04273573 - time (sec): 151.85 - samples/sec: 7710.19 - lr: 0.100000
2023-04-05 13:28:28,789 epoch 30 - iter 2385/2650 - loss 0.04256292 - time (sec): 170.31 - samples/sec: 7722.37 - lr: 0.100000
2023-04-05 13:28:47,838 epoch 30 - iter 2650/2650 - loss 0.04250649 - time (sec): 189.36 - samples/sec: 7722.60 - lr: 0.100000
2023-04-05 13:28:47,838 ----------------------------------------------------------------------------------------------------
2023-04-05 13:28:47,838 EPOCH 30 done: loss 0.0425 - lr 0.100000
2023-04-05 13:28:47,838 BAD EPOCHS (no improvement): 0
2023-04-05 13:28:47,841 ----------------------------------------------------------------------------------------------------
2023-04-05 13:29:06,510 epoch 31 - iter 265/2650 - loss 0.04048803 - time (sec): 18.67 - samples/sec: 7818.74 - lr: 0.100000
2023-04-05 13:29:25,075 epoch 31 - iter 530/2650 - loss 0.04102968 - time (sec): 37.23 - samples/sec: 7878.84 - lr: 0.100000
2023-04-05 13:29:43,938 epoch 31 - iter 795/2650 - loss 0.04190570 - time (sec): 56.10 - samples/sec: 7822.37 - lr: 0.100000
2023-04-05 13:30:03,275 epoch 31 - iter 1060/2650 - loss 0.04211806 - time (sec): 75.43 - samples/sec: 7763.41 - lr: 0.100000
2023-04-05 13:30:22,762 epoch 31 - iter 1325/2650 - loss 0.04224230 - time (sec): 94.92 - samples/sec: 7711.48 - lr: 0.100000
2023-04-05 13:30:40,948 epoch 31 - iter 1590/2650 - loss 0.04203982 - time (sec): 113.11 - samples/sec: 7748.69 - lr: 0.100000
2023-04-05 13:30:59,417 epoch 31 - iter 1855/2650 - loss 0.04228135 - time (sec): 131.58 - samples/sec: 7764.32 - lr: 0.100000
2023-04-05 13:31:18,796 epoch 31 - iter 2120/2650 - loss 0.04266091 - time (sec): 150.96 - samples/sec: 7751.92 - lr: 0.100000
2023-04-05 13:31:36,894 epoch 31 - iter 2385/2650 - loss 0.04269306 - time (sec): 169.05 - samples/sec: 7784.98 - lr: 0.100000
2023-04-05 13:31:55,812 epoch 31 - iter 2650/2650 - loss 0.04277351 - time (sec): 187.97 - samples/sec: 7779.70 - lr: 0.100000
2023-04-05 13:31:55,813 ----------------------------------------------------------------------------------------------------
2023-04-05 13:31:55,813 EPOCH 31 done: loss 0.0428 - lr 0.100000
2023-04-05 13:31:55,813 BAD EPOCHS (no improvement): 1
2023-04-05 13:31:55,815 ----------------------------------------------------------------------------------------------------
2023-04-05 13:32:14,247 epoch 32 - iter 265/2650 - loss 0.04114136 - time (sec): 18.43 - samples/sec: 7953.85 - lr: 0.100000
2023-04-05 13:32:32,555 epoch 32 - iter 530/2650 - loss 0.04240506 - time (sec): 36.74 - samples/sec: 7987.19 - lr: 0.100000
2023-04-05 13:32:50,934 epoch 32 - iter 795/2650 - loss 0.04217008 - time (sec): 55.12 - samples/sec: 7975.19 - lr: 0.100000
2023-04-05 13:33:09,389 epoch 32 - iter 1060/2650 - loss 0.04241276 - time (sec): 73.57 - samples/sec: 7964.56 - lr: 0.100000
2023-04-05 13:33:27,322 epoch 32 - iter 1325/2650 - loss 0.04250188 - time (sec): 91.51 - samples/sec: 7988.69 - lr: 0.100000
2023-04-05 13:33:45,376 epoch 32 - iter 1590/2650 - loss 0.04214098 - time (sec): 109.56 - samples/sec: 8007.39 - lr: 0.100000
2023-04-05 13:34:04,018 epoch 32 - iter 1855/2650 - loss 0.04217149 - time (sec): 128.20 - samples/sec: 7988.00 - lr: 0.100000
2023-04-05 13:34:21,842 epoch 32 - iter 2120/2650 - loss 0.04232391 - time (sec): 146.03 - samples/sec: 8010.16 - lr: 0.100000
2023-04-05 13:34:40,289 epoch 32 - iter 2385/2650 - loss 0.04220592 - time (sec): 164.47 - samples/sec: 8009.59 - lr: 0.100000
2023-04-05 13:34:58,078 epoch 32 - iter 2650/2650 - loss 0.04211352 - time (sec): 182.26 - samples/sec: 8023.40 - lr: 0.100000
2023-04-05 13:34:58,078 ----------------------------------------------------------------------------------------------------
2023-04-05 13:34:58,078 EPOCH 32 done: loss 0.0421 - lr 0.100000
2023-04-05 13:34:58,078 BAD EPOCHS (no improvement): 0
2023-04-05 13:34:58,081 ----------------------------------------------------------------------------------------------------
2023-04-05 13:35:16,103 epoch 33 - iter 265/2650 - loss 0.04113740 - time (sec): 18.02 - samples/sec: 7973.63 - lr: 0.100000
2023-04-05 13:35:34,332 epoch 33 - iter 530/2650 - loss 0.04118676 - time (sec): 36.25 - samples/sec: 8018.59 - lr: 0.100000
2023-04-05 13:35:52,516 epoch 33 - iter 795/2650 - loss 0.04086561 - time (sec): 54.43 - samples/sec: 8025.98 - lr: 0.100000
2023-04-05 13:36:10,668 epoch 33 - iter 1060/2650 - loss 0.04127195 - time (sec): 72.59 - samples/sec: 8039.81 - lr: 0.100000
2023-04-05 13:36:28,677 epoch 33 - iter 1325/2650 - loss 0.04126109 - time (sec): 90.60 - samples/sec: 8054.78 - lr: 0.100000
2023-04-05 13:36:47,103 epoch 33 - iter 1590/2650 - loss 0.04123808 - time (sec): 109.02 - samples/sec: 8057.19 - lr: 0.100000
2023-04-05 13:37:04,970 epoch 33 - iter 1855/2650 - loss 0.04145521 - time (sec): 126.89 - samples/sec: 8075.86 - lr: 0.100000
2023-04-05 13:37:23,316 epoch 33 - iter 2120/2650 - loss 0.04140714 - time (sec): 145.24 - samples/sec: 8051.64 - lr: 0.100000
2023-04-05 13:37:41,218 epoch 33 - iter 2385/2650 - loss 0.04159778 - time (sec): 163.14 - samples/sec: 8069.73 - lr: 0.100000
2023-04-05 13:37:59,325 epoch 33 - iter 2650/2650 - loss 0.04164667 - time (sec): 181.24 - samples/sec: 8068.47 - lr: 0.100000
2023-04-05 13:37:59,326 ----------------------------------------------------------------------------------------------------
2023-04-05 13:37:59,326 EPOCH 33 done: loss 0.0416 - lr 0.100000
2023-04-05 13:37:59,326 BAD EPOCHS (no improvement): 0
2023-04-05 13:37:59,328 ----------------------------------------------------------------------------------------------------
2023-04-05 13:38:17,152 epoch 34 - iter 265/2650 - loss 0.04032775 - time (sec): 17.82 - samples/sec: 8238.13 - lr: 0.100000
2023-04-05 13:38:35,244 epoch 34 - iter 530/2650 - loss 0.04028572 - time (sec): 35.92 - samples/sec: 8133.77 - lr: 0.100000
2023-04-05 13:38:53,010 epoch 34 - iter 795/2650 - loss 0.04087833 - time (sec): 53.68 - samples/sec: 8155.45 - lr: 0.100000
2023-04-05 13:39:11,323 epoch 34 - iter 1060/2650 - loss 0.04105161 - time (sec): 71.99 - samples/sec: 8122.58 - lr: 0.100000
2023-04-05 13:39:29,324 epoch 34 - iter 1325/2650 - loss 0.04118121 - time (sec): 90.00 - samples/sec: 8117.99 - lr: 0.100000
2023-04-05 13:39:47,210 epoch 34 - iter 1590/2650 - loss 0.04152319 - time (sec): 107.88 - samples/sec: 8122.63 - lr: 0.100000
2023-04-05 13:40:06,042 epoch 34 - iter 1855/2650 - loss 0.04173528 - time (sec): 126.71 - samples/sec: 8078.34 - lr: 0.100000
2023-04-05 13:40:24,312 epoch 34 - iter 2120/2650 - loss 0.04174055 - time (sec): 144.98 - samples/sec: 8066.62 - lr: 0.100000
2023-04-05 13:40:42,718 epoch 34 - iter 2385/2650 - loss 0.04186464 - time (sec): 163.39 - samples/sec: 8061.17 - lr: 0.100000
2023-04-05 13:41:00,935 epoch 34 - iter 2650/2650 - loss 0.04196162 - time (sec): 181.61 - samples/sec: 8052.38 - lr: 0.100000
2023-04-05 13:41:00,935 ----------------------------------------------------------------------------------------------------
2023-04-05 13:41:00,935 EPOCH 34 done: loss 0.0420 - lr 0.100000
2023-04-05 13:41:00,935 BAD EPOCHS (no improvement): 1
2023-04-05 13:41:00,938 ----------------------------------------------------------------------------------------------------
2023-04-05 13:41:18,891 epoch 35 - iter 265/2650 - loss 0.03902007 - time (sec): 17.95 - samples/sec: 8092.51 - lr: 0.100000
2023-04-05 13:41:37,648 epoch 35 - iter 530/2650 - loss 0.03998737 - time (sec): 36.71 - samples/sec: 7956.01 - lr: 0.100000
2023-04-05 13:41:55,964 epoch 35 - iter 795/2650 - loss 0.04052774 - time (sec): 55.03 - samples/sec: 7963.42 - lr: 0.100000
2023-04-05 13:42:13,812 epoch 35 - iter 1060/2650 - loss 0.04073243 - time (sec): 72.87 - samples/sec: 8016.36 - lr: 0.100000
2023-04-05 13:42:31,891 epoch 35 - iter 1325/2650 - loss 0.04130334 - time (sec): 90.95 - samples/sec: 8017.61 - lr: 0.100000
2023-04-05 13:42:50,349 epoch 35 - iter 1590/2650 - loss 0.04130015 - time (sec): 109.41 - samples/sec: 7998.97 - lr: 0.100000
2023-04-05 13:43:08,087 epoch 35 - iter 1855/2650 - loss 0.04155846 - time (sec): 127.15 - samples/sec: 8036.61 - lr: 0.100000
2023-04-05 13:43:26,524 epoch 35 - iter 2120/2650 - loss 0.04151170 - time (sec): 145.59 - samples/sec: 8023.82 - lr: 0.100000
2023-04-05 13:43:44,727 epoch 35 - iter 2385/2650 - loss 0.04165088 - time (sec): 163.79 - samples/sec: 8033.92 - lr: 0.100000
2023-04-05 13:44:02,812 epoch 35 - iter 2650/2650 - loss 0.04172819 - time (sec): 181.87 - samples/sec: 8040.54 - lr: 0.100000
2023-04-05 13:44:02,813 ----------------------------------------------------------------------------------------------------
2023-04-05 13:44:02,813 EPOCH 35 done: loss 0.0417 - lr 0.100000
2023-04-05 13:44:02,813 BAD EPOCHS (no improvement): 2
2023-04-05 13:44:02,816 ----------------------------------------------------------------------------------------------------
2023-04-05 13:44:20,787 epoch 36 - iter 265/2650 - loss 0.03989163 - time (sec): 17.97 - samples/sec: 8093.05 - lr: 0.100000
2023-04-05 13:44:38,668 epoch 36 - iter 530/2650 - loss 0.04074671 - time (sec): 35.85 - samples/sec: 8145.16 - lr: 0.100000
2023-04-05 13:44:56,943 epoch 36 - iter 795/2650 - loss 0.04063702 - time (sec): 54.13 - samples/sec: 8121.42 - lr: 0.100000
2023-04-05 13:45:14,906 epoch 36 - iter 1060/2650 - loss 0.04123224 - time (sec): 72.09 - samples/sec: 8118.47 - lr: 0.100000
2023-04-05 13:45:32,688 epoch 36 - iter 1325/2650 - loss 0.04144036 - time (sec): 89.87 - samples/sec: 8149.95 - lr: 0.100000
2023-04-05 13:45:50,960 epoch 36 - iter 1590/2650 - loss 0.04126246 - time (sec): 108.14 - samples/sec: 8122.52 - lr: 0.100000
2023-04-05 13:46:09,170 epoch 36 - iter 1855/2650 - loss 0.04113635 - time (sec): 126.35 - samples/sec: 8099.97 - lr: 0.100000
2023-04-05 13:46:27,653 epoch 36 - iter 2120/2650 - loss 0.04139249 - time (sec): 144.84 - samples/sec: 8069.40 - lr: 0.100000
2023-04-05 13:46:45,687 epoch 36 - iter 2385/2650 - loss 0.04164580 - time (sec): 162.87 - samples/sec: 8075.69 - lr: 0.100000
2023-04-05 13:47:03,949 epoch 36 - iter 2650/2650 - loss 0.04177306 - time (sec): 181.13 - samples/sec: 8073.45 - lr: 0.100000
2023-04-05 13:47:03,949 ----------------------------------------------------------------------------------------------------
2023-04-05 13:47:03,949 EPOCH 36 done: loss 0.0418 - lr 0.100000
2023-04-05 13:47:03,949 BAD EPOCHS (no improvement): 3
2023-04-05 13:47:03,953 ----------------------------------------------------------------------------------------------------
2023-04-05 13:47:22,548 epoch 37 - iter 265/2650 - loss 0.03937739 - time (sec): 18.60 - samples/sec: 7957.34 - lr: 0.100000
2023-04-05 13:47:40,772 epoch 37 - iter 530/2650 - loss 0.03992319 - time (sec): 36.82 - samples/sec: 7996.47 - lr: 0.100000
2023-04-05 13:47:58,599 epoch 37 - iter 795/2650 - loss 0.04038594 - time (sec): 54.65 - samples/sec: 8044.45 - lr: 0.100000
2023-04-05 13:48:16,970 epoch 37 - iter 1060/2650 - loss 0.04056998 - time (sec): 73.02 - samples/sec: 8042.29 - lr: 0.100000
2023-04-05 13:48:34,962 epoch 37 - iter 1325/2650 - loss 0.04079154 - time (sec): 91.01 - samples/sec: 8047.38 - lr: 0.100000
2023-04-05 13:48:53,157 epoch 37 - iter 1590/2650 - loss 0.04065697 - time (sec): 109.20 - samples/sec: 8051.67 - lr: 0.100000
2023-04-05 13:49:11,205 epoch 37 - iter 1855/2650 - loss 0.04088717 - time (sec): 127.25 - samples/sec: 8062.08 - lr: 0.100000
2023-04-05 13:49:29,407 epoch 37 - iter 2120/2650 - loss 0.04096640 - time (sec): 145.45 - samples/sec: 8061.20 - lr: 0.100000
2023-04-05 13:49:47,702 epoch 37 - iter 2385/2650 - loss 0.04125203 - time (sec): 163.75 - samples/sec: 8056.82 - lr: 0.100000
2023-04-05 13:50:05,171 epoch 37 - iter 2650/2650 - loss 0.04132906 - time (sec): 181.22 - samples/sec: 8069.62 - lr: 0.100000
2023-04-05 13:50:05,171 ----------------------------------------------------------------------------------------------------
2023-04-05 13:50:05,171 EPOCH 37 done: loss 0.0413 - lr 0.100000
2023-04-05 13:50:05,171 BAD EPOCHS (no improvement): 0
2023-04-05 13:50:05,175 ----------------------------------------------------------------------------------------------------
2023-04-05 13:50:23,928 epoch 38 - iter 265/2650 - loss 0.04383270 - time (sec): 18.75 - samples/sec: 7768.47 - lr: 0.100000
2023-04-05 13:50:42,306 epoch 38 - iter 530/2650 - loss 0.04188365 - time (sec): 37.13 - samples/sec: 7851.35 - lr: 0.100000
2023-04-05 13:51:00,731 epoch 38 - iter 795/2650 - loss 0.04194723 - time (sec): 55.56 - samples/sec: 7863.44 - lr: 0.100000
2023-04-05 13:51:18,795 epoch 38 - iter 1060/2650 - loss 0.04151871 - time (sec): 73.62 - samples/sec: 7919.66 - lr: 0.100000
2023-04-05 13:51:36,969 epoch 38 - iter 1325/2650 - loss 0.04133663 - time (sec): 91.79 - samples/sec: 7960.20 - lr: 0.100000
2023-04-05 13:51:55,380 epoch 38 - iter 1590/2650 - loss 0.04135589 - time (sec): 110.20 - samples/sec: 7966.23 - lr: 0.100000
2023-04-05 13:52:13,560 epoch 38 - iter 1855/2650 - loss 0.04119698 - time (sec): 128.39 - samples/sec: 7976.98 - lr: 0.100000
2023-04-05 13:52:31,229 epoch 38 - iter 2120/2650 - loss 0.04159502 - time (sec): 146.05 - samples/sec: 8007.37 - lr: 0.100000
2023-04-05 13:52:49,863 epoch 38 - iter 2385/2650 - loss 0.04160270 - time (sec): 164.69 - samples/sec: 7995.04 - lr: 0.100000
2023-04-05 13:53:08,574 epoch 38 - iter 2650/2650 - loss 0.04163645 - time (sec): 183.40 - samples/sec: 7973.67 - lr: 0.100000
2023-04-05 13:53:08,574 ----------------------------------------------------------------------------------------------------
2023-04-05 13:53:08,575 EPOCH 38 done: loss 0.0416 - lr 0.100000
2023-04-05 13:53:08,575 BAD EPOCHS (no improvement): 1
2023-04-05 13:53:08,578 ----------------------------------------------------------------------------------------------------
2023-04-05 13:53:26,022 epoch 39 - iter 265/2650 - loss 0.04087264 - time (sec): 17.44 - samples/sec: 8261.25 - lr: 0.100000
2023-04-05 13:53:44,365 epoch 39 - iter 530/2650 - loss 0.04076545 - time (sec): 35.79 - samples/sec: 8063.32 - lr: 0.100000
2023-04-05 13:54:03,189 epoch 39 - iter 795/2650 - loss 0.04057494 - time (sec): 54.61 - samples/sec: 7984.57 - lr: 0.100000
2023-04-05 13:54:21,288 epoch 39 - iter 1060/2650 - loss 0.04079472 - time (sec): 72.71 - samples/sec: 8003.31 - lr: 0.100000
2023-04-05 13:54:41,297 epoch 39 - iter 1325/2650 - loss 0.04079675 - time (sec): 92.72 - samples/sec: 7860.41 - lr: 0.100000
2023-04-05 13:55:00,720 epoch 39 - iter 1590/2650 - loss 0.04082025 - time (sec): 112.14 - samples/sec: 7807.71 - lr: 0.100000
2023-04-05 13:55:19,344 epoch 39 - iter 1855/2650 - loss 0.04083543 - time (sec): 130.77 - samples/sec: 7822.99 - lr: 0.100000
2023-04-05 13:55:37,962 epoch 39 - iter 2120/2650 - loss 0.04110629 - time (sec): 149.38 - samples/sec: 7826.17 - lr: 0.100000
2023-04-05 13:55:56,460 epoch 39 - iter 2385/2650 - loss 0.04124247 - time (sec): 167.88 - samples/sec: 7833.14 - lr: 0.100000
2023-04-05 13:56:14,585 epoch 39 - iter 2650/2650 - loss 0.04118173 - time (sec): 186.01 - samples/sec: 7861.87 - lr: 0.100000
2023-04-05 13:56:14,585 ----------------------------------------------------------------------------------------------------
2023-04-05 13:56:14,585 EPOCH 39 done: loss 0.0412 - lr 0.100000
2023-04-05 13:56:14,586 BAD EPOCHS (no improvement): 0
2023-04-05 13:56:14,588 ----------------------------------------------------------------------------------------------------
2023-04-05 13:56:32,742 epoch 40 - iter 265/2650 - loss 0.03876713 - time (sec): 18.15 - samples/sec: 8139.52 - lr: 0.100000
2023-04-05 13:56:50,675 epoch 40 - iter 530/2650 - loss 0.03907344 - time (sec): 36.09 - samples/sec: 8129.75 - lr: 0.100000
2023-04-05 13:57:08,793 epoch 40 - iter 795/2650 - loss 0.03958288 - time (sec): 54.20 - samples/sec: 8091.39 - lr: 0.100000
2023-04-05 13:57:27,293 epoch 40 - iter 1060/2650 - loss 0.04017258 - time (sec): 72.70 - samples/sec: 8037.80 - lr: 0.100000
2023-04-05 13:57:46,110 epoch 40 - iter 1325/2650 - loss 0.04036219 - time (sec): 91.52 - samples/sec: 7993.13 - lr: 0.100000
2023-04-05 13:58:04,438 epoch 40 - iter 1590/2650 - loss 0.04024071 - time (sec): 109.85 - samples/sec: 7983.30 - lr: 0.100000
2023-04-05 13:58:22,971 epoch 40 - iter 1855/2650 - loss 0.04031818 - time (sec): 128.38 - samples/sec: 7974.43 - lr: 0.100000
2023-04-05 13:58:41,134 epoch 40 - iter 2120/2650 - loss 0.04045693 - time (sec): 146.55 - samples/sec: 7986.97 - lr: 0.100000
2023-04-05 13:58:59,177 epoch 40 - iter 2385/2650 - loss 0.04070948 - time (sec): 164.59 - samples/sec: 8002.63 - lr: 0.100000
2023-04-05 13:59:16,937 epoch 40 - iter 2650/2650 - loss 0.04090536 - time (sec): 182.35 - samples/sec: 8019.60 - lr: 0.100000
2023-04-05 13:59:16,937 ----------------------------------------------------------------------------------------------------
2023-04-05 13:59:16,937 EPOCH 40 done: loss 0.0409 - lr 0.100000
2023-04-05 13:59:16,938 BAD EPOCHS (no improvement): 0
2023-04-05 13:59:16,941 ----------------------------------------------------------------------------------------------------
2023-04-05 13:59:35,574 epoch 41 - iter 265/2650 - loss 0.04110906 - time (sec): 18.63 - samples/sec: 7794.26 - lr: 0.100000
2023-04-05 13:59:54,105 epoch 41 - iter 530/2650 - loss 0.03991654 - time (sec): 37.16 - samples/sec: 7851.71 - lr: 0.100000
2023-04-05 14:00:11,955 epoch 41 - iter 795/2650 - loss 0.04015277 - time (sec): 55.01 - samples/sec: 7953.94 - lr: 0.100000
2023-04-05 14:00:30,102 epoch 41 - iter 1060/2650 - loss 0.04025711 - time (sec): 73.16 - samples/sec: 7974.91 - lr: 0.100000
2023-04-05 14:00:48,255 epoch 41 - iter 1325/2650 - loss 0.04093862 - time (sec): 91.31 - samples/sec: 8004.37 - lr: 0.100000
2023-04-05 14:01:06,770 epoch 41 - iter 1590/2650 - loss 0.04115403 - time (sec): 109.83 - samples/sec: 8017.84 - lr: 0.100000
2023-04-05 14:01:24,717 epoch 41 - iter 1855/2650 - loss 0.04092722 - time (sec): 127.78 - samples/sec: 8035.12 - lr: 0.100000
2023-04-05 14:01:42,808 epoch 41 - iter 2120/2650 - loss 0.04087952 - time (sec): 145.87 - samples/sec: 8032.41 - lr: 0.100000
2023-04-05 14:02:00,694 epoch 41 - iter 2385/2650 - loss 0.04097686 - time (sec): 163.75 - samples/sec: 8041.19 - lr: 0.100000
2023-04-05 14:02:18,474 epoch 41 - iter 2650/2650 - loss 0.04108247 - time (sec): 181.53 - samples/sec: 8055.63 - lr: 0.100000
2023-04-05 14:02:18,474 ----------------------------------------------------------------------------------------------------
2023-04-05 14:02:18,474 EPOCH 41 done: loss 0.0411 - lr 0.100000
2023-04-05 14:02:18,475 BAD EPOCHS (no improvement): 1
2023-04-05 14:02:18,478 ----------------------------------------------------------------------------------------------------
2023-04-05 14:02:36,748 epoch 42 - iter 265/2650 - loss 0.03884482 - time (sec): 18.27 - samples/sec: 7957.35 - lr: 0.100000
2023-04-05 14:02:54,675 epoch 42 - iter 530/2650 - loss 0.03966526 - time (sec): 36.20 - samples/sec: 8051.20 - lr: 0.100000
2023-04-05 14:03:12,380 epoch 42 - iter 795/2650 - loss 0.04064784 - time (sec): 53.90 - samples/sec: 8082.66 - lr: 0.100000
2023-04-05 14:03:30,494 epoch 42 - iter 1060/2650 - loss 0.04042028 - time (sec): 72.02 - samples/sec: 8100.35 - lr: 0.100000
2023-04-05 14:03:48,404 epoch 42 - iter 1325/2650 - loss 0.04078388 - time (sec): 89.93 - samples/sec: 8106.27 - lr: 0.100000
2023-04-05 14:04:07,710 epoch 42 - iter 1590/2650 - loss 0.04081253 - time (sec): 109.23 - samples/sec: 8039.81 - lr: 0.100000
2023-04-05 14:04:25,522 epoch 42 - iter 1855/2650 - loss 0.04083092 - time (sec): 127.04 - samples/sec: 8061.94 - lr: 0.100000
2023-04-05 14:04:43,875 epoch 42 - iter 2120/2650 - loss 0.04087742 - time (sec): 145.40 - samples/sec: 8059.79 - lr: 0.100000
2023-04-05 14:05:02,174 epoch 42 - iter 2385/2650 - loss 0.04109521 - time (sec): 163.70 - samples/sec: 8043.70 - lr: 0.100000
2023-04-05 14:05:20,221 epoch 42 - iter 2650/2650 - loss 0.04124523 - time (sec): 181.74 - samples/sec: 8046.34 - lr: 0.100000
2023-04-05 14:05:20,221 ----------------------------------------------------------------------------------------------------
2023-04-05 14:05:20,221 EPOCH 42 done: loss 0.0412 - lr 0.100000
2023-04-05 14:05:20,221 BAD EPOCHS (no improvement): 2
2023-04-05 14:05:20,224 ----------------------------------------------------------------------------------------------------
2023-04-05 14:05:38,918 epoch 43 - iter 265/2650 - loss 0.03914060 - time (sec): 18.69 - samples/sec: 7854.03 - lr: 0.100000
2023-04-05 14:05:57,098 epoch 43 - iter 530/2650 - loss 0.03897795 - time (sec): 36.87 - samples/sec: 7908.67 - lr: 0.100000
2023-04-05 14:06:16,108 epoch 43 - iter 795/2650 - loss 0.03987165 - time (sec): 55.88 - samples/sec: 7871.89 - lr: 0.100000
2023-04-05 14:06:34,505 epoch 43 - iter 1060/2650 - loss 0.04058359 - time (sec): 74.28 - samples/sec: 7897.61 - lr: 0.100000
2023-04-05 14:06:52,733 epoch 43 - iter 1325/2650 - loss 0.04030989 - time (sec): 92.51 - samples/sec: 7942.58 - lr: 0.100000
2023-04-05 14:07:10,926 epoch 43 - iter 1590/2650 - loss 0.04036084 - time (sec): 110.70 - samples/sec: 7966.59 - lr: 0.100000
2023-04-05 14:07:28,763 epoch 43 - iter 1855/2650 - loss 0.04070626 - time (sec): 128.54 - samples/sec: 7988.79 - lr: 0.100000
2023-04-05 14:07:55,812 epoch 43 - iter 2120/2650 - loss 0.04058306 - time (sec): 155.59 - samples/sec: 7531.35 - lr: 0.100000
2023-04-05 14:08:14,044 epoch 43 - iter 2385/2650 - loss 0.04072473 - time (sec): 173.82 - samples/sec: 7577.65 - lr: 0.100000
2023-04-05 14:08:32,143 epoch 43 - iter 2650/2650 - loss 0.04060954 - time (sec): 191.92 - samples/sec: 7619.68 - lr: 0.100000
2023-04-05 14:08:32,144 ----------------------------------------------------------------------------------------------------
2023-04-05 14:08:32,144 EPOCH 43 done: loss 0.0406 - lr 0.100000
2023-04-05 14:08:32,144 BAD EPOCHS (no improvement): 0
2023-04-05 14:08:32,146 ----------------------------------------------------------------------------------------------------
2023-04-05 14:08:51,106 epoch 44 - iter 265/2650 - loss 0.03918091 - time (sec): 18.96 - samples/sec: 7821.38 - lr: 0.100000
2023-04-05 14:09:08,660 epoch 44 - iter 530/2650 - loss 0.04020787 - time (sec): 36.51 - samples/sec: 8022.04 - lr: 0.100000
2023-04-05 14:09:26,637 epoch 44 - iter 795/2650 - loss 0.03937184 - time (sec): 54.49 - samples/sec: 8059.12 - lr: 0.100000
2023-04-05 14:09:45,099 epoch 44 - iter 1060/2650 - loss 0.03995217 - time (sec): 72.95 - samples/sec: 8037.76 - lr: 0.100000
2023-04-05 14:10:03,263 epoch 44 - iter 1325/2650 - loss 0.04010491 - time (sec): 91.12 - samples/sec: 8056.04 - lr: 0.100000
2023-04-05 14:10:21,345 epoch 44 - iter 1590/2650 - loss 0.04013148 - time (sec): 109.20 - samples/sec: 8053.45 - lr: 0.100000
2023-04-05 14:10:39,310 epoch 44 - iter 1855/2650 - loss 0.04003366 - time (sec): 127.16 - samples/sec: 8065.66 - lr: 0.100000
2023-04-05 14:10:57,206 epoch 44 - iter 2120/2650 - loss 0.04030451 - time (sec): 145.06 - samples/sec: 8076.87 - lr: 0.100000
2023-04-05 14:11:15,096 epoch 44 - iter 2385/2650 - loss 0.04020923 - time (sec): 162.95 - samples/sec: 8088.81 - lr: 0.100000
2023-04-05 14:11:32,871 epoch 44 - iter 2650/2650 - loss 0.04042246 - time (sec): 180.72 - samples/sec: 8091.66 - lr: 0.100000
2023-04-05 14:11:32,872 ----------------------------------------------------------------------------------------------------
2023-04-05 14:11:32,872 EPOCH 44 done: loss 0.0404 - lr 0.100000
2023-04-05 14:11:32,872 BAD EPOCHS (no improvement): 0
2023-04-05 14:11:32,874 ----------------------------------------------------------------------------------------------------
2023-04-05 14:11:51,266 epoch 45 - iter 265/2650 - loss 0.03909350 - time (sec): 18.39 - samples/sec: 7909.82 - lr: 0.100000
2023-04-05 14:12:09,482 epoch 45 - iter 530/2650 - loss 0.03970351 - time (sec): 36.61 - samples/sec: 7989.91 - lr: 0.100000
2023-04-05 14:12:28,294 epoch 45 - iter 795/2650 - loss 0.03992902 - time (sec): 55.42 - samples/sec: 7939.87 - lr: 0.100000
2023-04-05 14:12:46,034 epoch 45 - iter 1060/2650 - loss 0.04013327 - time (sec): 73.16 - samples/sec: 8019.64 - lr: 0.100000
2023-04-05 14:13:04,536 epoch 45 - iter 1325/2650 - loss 0.04013230 - time (sec): 91.66 - samples/sec: 7994.35 - lr: 0.100000
2023-04-05 14:13:22,865 epoch 45 - iter 1590/2650 - loss 0.04026092 - time (sec): 109.99 - samples/sec: 7990.03 - lr: 0.100000
2023-04-05 14:13:40,754 epoch 45 - iter 1855/2650 - loss 0.04063067 - time (sec): 127.88 - samples/sec: 8003.10 - lr: 0.100000
2023-04-05 14:13:58,644 epoch 45 - iter 2120/2650 - loss 0.04077307 - time (sec): 145.77 - samples/sec: 8022.51 - lr: 0.100000
2023-04-05 14:14:17,364 epoch 45 - iter 2385/2650 - loss 0.04088952 - time (sec): 164.49 - samples/sec: 8015.16 - lr: 0.100000
2023-04-05 14:14:35,673 epoch 45 - iter 2650/2650 - loss 0.04079982 - time (sec): 182.80 - samples/sec: 7999.86 - lr: 0.100000
2023-04-05 14:14:35,673 ----------------------------------------------------------------------------------------------------
2023-04-05 14:14:35,673 EPOCH 45 done: loss 0.0408 - lr 0.100000
2023-04-05 14:14:35,674 BAD EPOCHS (no improvement): 1
2023-04-05 14:14:35,676 ----------------------------------------------------------------------------------------------------
2023-04-05 14:14:54,969 epoch 46 - iter 265/2650 - loss 0.03921600 - time (sec): 19.29 - samples/sec: 7714.65 - lr: 0.100000
2023-04-05 14:15:12,757 epoch 46 - iter 530/2650 - loss 0.03954477 - time (sec): 37.08 - samples/sec: 7951.82 - lr: 0.100000
2023-04-05 14:15:31,395 epoch 46 - iter 795/2650 - loss 0.03974565 - time (sec): 55.72 - samples/sec: 7916.98 - lr: 0.100000
2023-04-05 14:15:49,141 epoch 46 - iter 1060/2650 - loss 0.03950021 - time (sec): 73.47 - samples/sec: 7967.96 - lr: 0.100000
2023-04-05 14:16:07,351 epoch 46 - iter 1325/2650 - loss 0.03964841 - time (sec): 91.68 - samples/sec: 7991.27 - lr: 0.100000
2023-04-05 14:16:25,473 epoch 46 - iter 1590/2650 - loss 0.03972167 - time (sec): 109.80 - samples/sec: 7985.77 - lr: 0.100000
2023-04-05 14:16:43,255 epoch 46 - iter 1855/2650 - loss 0.03997422 - time (sec): 127.58 - samples/sec: 8016.41 - lr: 0.100000
2023-04-05 14:17:01,586 epoch 46 - iter 2120/2650 - loss 0.04025568 - time (sec): 145.91 - samples/sec: 8025.58 - lr: 0.100000
2023-04-05 14:17:20,163 epoch 46 - iter 2385/2650 - loss 0.04016361 - time (sec): 164.49 - samples/sec: 8010.97 - lr: 0.100000
2023-04-05 14:17:37,775 epoch 46 - iter 2650/2650 - loss 0.04033806 - time (sec): 182.10 - samples/sec: 8030.57 - lr: 0.100000
2023-04-05 14:17:37,776 ----------------------------------------------------------------------------------------------------
2023-04-05 14:17:37,776 EPOCH 46 done: loss 0.0403 - lr 0.100000
2023-04-05 14:17:37,776 BAD EPOCHS (no improvement): 0
2023-04-05 14:17:37,779 ----------------------------------------------------------------------------------------------------
2023-04-05 14:17:56,066 epoch 47 - iter 265/2650 - loss 0.03836738 - time (sec): 18.29 - samples/sec: 8105.17 - lr: 0.100000
2023-04-05 14:18:13,844 epoch 47 - iter 530/2650 - loss 0.03914521 - time (sec): 36.07 - samples/sec: 8107.21 - lr: 0.100000
2023-04-05 14:18:31,844 epoch 47 - iter 795/2650 - loss 0.03978921 - time (sec): 54.06 - samples/sec: 8110.23 - lr: 0.100000
2023-04-05 14:18:49,931 epoch 47 - iter 1060/2650 - loss 0.03988945 - time (sec): 72.15 - samples/sec: 8105.02 - lr: 0.100000
2023-04-05 14:19:08,014 epoch 47 - iter 1325/2650 - loss 0.03935177 - time (sec): 90.24 - samples/sec: 8102.06 - lr: 0.100000
2023-04-05 14:19:26,173 epoch 47 - iter 1590/2650 - loss 0.03932793 - time (sec): 108.39 - samples/sec: 8082.27 - lr: 0.100000
2023-04-05 14:19:44,948 epoch 47 - iter 1855/2650 - loss 0.03972726 - time (sec): 127.17 - samples/sec: 8053.81 - lr: 0.100000
2023-04-05 14:20:03,101 epoch 47 - iter 2120/2650 - loss 0.04007483 - time (sec): 145.32 - samples/sec: 8056.54 - lr: 0.100000
2023-04-05 14:20:21,206 epoch 47 - iter 2385/2650 - loss 0.04021612 - time (sec): 163.43 - samples/sec: 8053.54 - lr: 0.100000
2023-04-05 14:20:39,687 epoch 47 - iter 2650/2650 - loss 0.04022225 - time (sec): 181.91 - samples/sec: 8039.05 - lr: 0.100000
2023-04-05 14:20:39,687 ----------------------------------------------------------------------------------------------------
2023-04-05 14:20:39,687 EPOCH 47 done: loss 0.0402 - lr 0.100000
2023-04-05 14:20:39,687 BAD EPOCHS (no improvement): 0
2023-04-05 14:20:39,690 ----------------------------------------------------------------------------------------------------
2023-04-05 14:20:57,948 epoch 48 - iter 265/2650 - loss 0.03861889 - time (sec): 18.26 - samples/sec: 8013.37 - lr: 0.100000
2023-04-05 14:21:16,325 epoch 48 - iter 530/2650 - loss 0.03927915 - time (sec): 36.63 - samples/sec: 7983.59 - lr: 0.100000
2023-04-05 14:21:34,509 epoch 48 - iter 795/2650 - loss 0.03907398 - time (sec): 54.82 - samples/sec: 8026.12 - lr: 0.100000
2023-04-05 14:21:52,225 epoch 48 - iter 1060/2650 - loss 0.03936735 - time (sec): 72.53 - samples/sec: 8083.39 - lr: 0.100000
2023-04-05 14:22:10,266 epoch 48 - iter 1325/2650 - loss 0.03945020 - time (sec): 90.58 - samples/sec: 8083.65 - lr: 0.100000
2023-04-05 14:22:28,340 epoch 48 - iter 1590/2650 - loss 0.03941673 - time (sec): 108.65 - samples/sec: 8085.16 - lr: 0.100000
2023-04-05 14:22:46,621 epoch 48 - iter 1855/2650 - loss 0.03970985 - time (sec): 126.93 - samples/sec: 8069.04 - lr: 0.100000
2023-04-05 14:23:05,078 epoch 48 - iter 2120/2650 - loss 0.03998193 - time (sec): 145.39 - samples/sec: 8058.90 - lr: 0.100000
2023-04-05 14:23:22,996 epoch 48 - iter 2385/2650 - loss 0.04013525 - time (sec): 163.31 - samples/sec: 8061.25 - lr: 0.100000
2023-04-05 14:23:41,357 epoch 48 - iter 2650/2650 - loss 0.04024657 - time (sec): 181.67 - samples/sec: 8049.68 - lr: 0.100000
2023-04-05 14:23:41,358 ----------------------------------------------------------------------------------------------------
2023-04-05 14:23:41,358 EPOCH 48 done: loss 0.0402 - lr 0.100000
2023-04-05 14:23:41,358 BAD EPOCHS (no improvement): 1
2023-04-05 14:23:41,361 ----------------------------------------------------------------------------------------------------
2023-04-05 14:23:59,850 epoch 49 - iter 265/2650 - loss 0.04012170 - time (sec): 18.49 - samples/sec: 7958.22 - lr: 0.100000
2023-04-05 14:24:17,564 epoch 49 - iter 530/2650 - loss 0.04024082 - time (sec): 36.20 - samples/sec: 8120.15 - lr: 0.100000
2023-04-05 14:24:35,455 epoch 49 - iter 795/2650 - loss 0.04026430 - time (sec): 54.09 - samples/sec: 8138.42 - lr: 0.100000
2023-04-05 14:24:53,336 epoch 49 - iter 1060/2650 - loss 0.04039873 - time (sec): 71.98 - samples/sec: 8136.12 - lr: 0.100000
2023-04-05 14:25:11,251 epoch 49 - iter 1325/2650 - loss 0.04000186 - time (sec): 89.89 - samples/sec: 8122.60 - lr: 0.100000
2023-04-05 14:25:29,036 epoch 49 - iter 1590/2650 - loss 0.03977296 - time (sec): 107.67 - samples/sec: 8141.63 - lr: 0.100000
2023-04-05 14:25:47,620 epoch 49 - iter 1855/2650 - loss 0.04003576 - time (sec): 126.26 - samples/sec: 8102.92 - lr: 0.100000
2023-04-05 14:26:05,504 epoch 49 - iter 2120/2650 - loss 0.04005786 - time (sec): 144.14 - samples/sec: 8108.69 - lr: 0.100000
2023-04-05 14:26:23,786 epoch 49 - iter 2385/2650 - loss 0.04030304 - time (sec): 162.43 - samples/sec: 8101.21 - lr: 0.100000
2023-04-05 14:26:42,050 epoch 49 - iter 2650/2650 - loss 0.04048654 - time (sec): 180.69 - samples/sec: 8093.24 - lr: 0.100000
2023-04-05 14:26:42,051 ----------------------------------------------------------------------------------------------------
2023-04-05 14:26:42,051 EPOCH 49 done: loss 0.0405 - lr 0.100000
2023-04-05 14:26:42,051 BAD EPOCHS (no improvement): 2
2023-04-05 14:26:42,053 ----------------------------------------------------------------------------------------------------
2023-04-05 14:27:00,467 epoch 50 - iter 265/2650 - loss 0.03922237 - time (sec): 18.41 - samples/sec: 7996.92 - lr: 0.100000
2023-04-05 14:27:18,706 epoch 50 - iter 530/2650 - loss 0.03893051 - time (sec): 36.65 - samples/sec: 7991.19 - lr: 0.100000
2023-04-05 14:27:36,864 epoch 50 - iter 795/2650 - loss 0.03915797 - time (sec): 54.81 - samples/sec: 8016.82 - lr: 0.100000
2023-04-05 14:27:54,589 epoch 50 - iter 1060/2650 - loss 0.03960933 - time (sec): 72.54 - samples/sec: 8065.62 - lr: 0.100000
2023-04-05 14:28:12,839 epoch 50 - iter 1325/2650 - loss 0.04011978 - time (sec): 90.79 - samples/sec: 8047.01 - lr: 0.100000
2023-04-05 14:28:31,217 epoch 50 - iter 1590/2650 - loss 0.03994922 - time (sec): 109.16 - samples/sec: 8025.53 - lr: 0.100000
2023-04-05 14:28:49,229 epoch 50 - iter 1855/2650 - loss 0.04000701 - time (sec): 127.18 - samples/sec: 8035.68 - lr: 0.100000
2023-04-05 14:29:07,625 epoch 50 - iter 2120/2650 - loss 0.04003744 - time (sec): 145.57 - samples/sec: 8025.48 - lr: 0.100000
2023-04-05 14:29:25,484 epoch 50 - iter 2385/2650 - loss 0.04015971 - time (sec): 163.43 - samples/sec: 8049.02 - lr: 0.100000
2023-04-05 14:29:43,390 epoch 50 - iter 2650/2650 - loss 0.04025809 - time (sec): 181.34 - samples/sec: 8064.34 - lr: 0.100000
2023-04-05 14:29:43,390 ----------------------------------------------------------------------------------------------------
2023-04-05 14:29:43,390 EPOCH 50 done: loss 0.0403 - lr 0.100000
2023-04-05 14:29:43,390 BAD EPOCHS (no improvement): 3
2023-04-05 14:29:43,393 ----------------------------------------------------------------------------------------------------
2023-04-05 14:30:01,962 epoch 51 - iter 265/2650 - loss 0.03812507 - time (sec): 18.57 - samples/sec: 7876.75 - lr: 0.100000
2023-04-05 14:30:19,636 epoch 51 - iter 530/2650 - loss 0.03858783 - time (sec): 36.24 - samples/sec: 8030.27 - lr: 0.100000
2023-04-05 14:30:38,481 epoch 51 - iter 795/2650 - loss 0.03893180 - time (sec): 55.09 - samples/sec: 7990.47 - lr: 0.100000
2023-04-05 14:30:56,569 epoch 51 - iter 1060/2650 - loss 0.03893548 - time (sec): 73.18 - samples/sec: 8010.98 - lr: 0.100000
2023-04-05 14:31:13,963 epoch 51 - iter 1325/2650 - loss 0.03895381 - time (sec): 90.57 - samples/sec: 8055.51 - lr: 0.100000
2023-04-05 14:31:31,783 epoch 51 - iter 1590/2650 - loss 0.03915072 - time (sec): 108.39 - samples/sec: 8070.45 - lr: 0.100000
2023-04-05 14:31:49,688 epoch 51 - iter 1855/2650 - loss 0.03921638 - time (sec): 126.30 - samples/sec: 8087.95 - lr: 0.100000
2023-04-05 14:32:07,845 epoch 51 - iter 2120/2650 - loss 0.03945988 - time (sec): 144.45 - samples/sec: 8086.10 - lr: 0.100000
2023-04-05 14:32:26,305 epoch 51 - iter 2385/2650 - loss 0.03969158 - time (sec): 162.91 - samples/sec: 8069.70 - lr: 0.100000
2023-04-05 14:32:44,612 epoch 51 - iter 2650/2650 - loss 0.03989519 - time (sec): 181.22 - samples/sec: 8069.61 - lr: 0.100000
2023-04-05 14:32:44,612 ----------------------------------------------------------------------------------------------------
2023-04-05 14:32:44,612 EPOCH 51 done: loss 0.0399 - lr 0.100000
2023-04-05 14:32:44,612 BAD EPOCHS (no improvement): 0
2023-04-05 14:32:44,614 ----------------------------------------------------------------------------------------------------
2023-04-05 14:33:02,454 epoch 52 - iter 265/2650 - loss 0.03949242 - time (sec): 17.84 - samples/sec: 8216.43 - lr: 0.100000
2023-04-05 14:33:20,781 epoch 52 - iter 530/2650 - loss 0.03898969 - time (sec): 36.17 - samples/sec: 8109.99 - lr: 0.100000
2023-04-05 14:33:38,605 epoch 52 - iter 795/2650 - loss 0.03908908 - time (sec): 53.99 - samples/sec: 8112.98 - lr: 0.100000
2023-04-05 14:33:56,851 epoch 52 - iter 1060/2650 - loss 0.03912563 - time (sec): 72.24 - samples/sec: 8074.43 - lr: 0.100000
2023-04-05 14:34:14,681 epoch 52 - iter 1325/2650 - loss 0.03957400 - time (sec): 90.07 - samples/sec: 8094.01 - lr: 0.100000
2023-04-05 14:34:32,832 epoch 52 - iter 1590/2650 - loss 0.03964304 - time (sec): 108.22 - samples/sec: 8083.37 - lr: 0.100000
2023-04-05 14:34:51,643 epoch 52 - iter 1855/2650 - loss 0.03965549 - time (sec): 127.03 - samples/sec: 8050.19 - lr: 0.100000
2023-04-05 14:35:09,852 epoch 52 - iter 2120/2650 - loss 0.03975091 - time (sec): 145.24 - samples/sec: 8050.67 - lr: 0.100000
2023-04-05 14:35:28,196 epoch 52 - iter 2385/2650 - loss 0.03974329 - time (sec): 163.58 - samples/sec: 8047.40 - lr: 0.100000
2023-04-05 14:35:46,422 epoch 52 - iter 2650/2650 - loss 0.03983553 - time (sec): 181.81 - samples/sec: 8043.48 - lr: 0.100000
2023-04-05 14:35:46,422 ----------------------------------------------------------------------------------------------------
2023-04-05 14:35:46,422 EPOCH 52 done: loss 0.0398 - lr 0.100000
2023-04-05 14:35:46,422 BAD EPOCHS (no improvement): 0
2023-04-05 14:35:46,425 ----------------------------------------------------------------------------------------------------
2023-04-05 14:36:05,020 epoch 53 - iter 265/2650 - loss 0.03997397 - time (sec): 18.60 - samples/sec: 7883.01 - lr: 0.100000
2023-04-05 14:36:23,894 epoch 53 - iter 530/2650 - loss 0.04065717 - time (sec): 37.47 - samples/sec: 7824.79 - lr: 0.100000
2023-04-05 14:36:41,635 epoch 53 - iter 795/2650 - loss 0.04068847 - time (sec): 55.21 - samples/sec: 7925.63 - lr: 0.100000
2023-04-05 14:37:00,023 epoch 53 - iter 1060/2650 - loss 0.04045005 - time (sec): 73.60 - samples/sec: 7970.72 - lr: 0.100000
2023-04-05 14:37:18,752 epoch 53 - iter 1325/2650 - loss 0.04077156 - time (sec): 92.33 - samples/sec: 7952.90 - lr: 0.100000
2023-04-05 14:37:36,955 epoch 53 - iter 1590/2650 - loss 0.04053930 - time (sec): 110.53 - samples/sec: 7950.94 - lr: 0.100000
2023-04-05 14:37:55,333 epoch 53 - iter 1855/2650 - loss 0.04032789 - time (sec): 128.91 - samples/sec: 7953.67 - lr: 0.100000
2023-04-05 14:38:13,740 epoch 53 - iter 2120/2650 - loss 0.04016615 - time (sec): 147.32 - samples/sec: 7952.71 - lr: 0.100000
2023-04-05 14:38:31,850 epoch 53 - iter 2385/2650 - loss 0.04022834 - time (sec): 165.43 - samples/sec: 7961.15 - lr: 0.100000
2023-04-05 14:38:49,605 epoch 53 - iter 2650/2650 - loss 0.04031738 - time (sec): 183.18 - samples/sec: 7983.19 - lr: 0.100000
2023-04-05 14:38:49,606 ----------------------------------------------------------------------------------------------------
2023-04-05 14:38:49,606 EPOCH 53 done: loss 0.0403 - lr 0.100000
2023-04-05 14:38:49,606 BAD EPOCHS (no improvement): 1
2023-04-05 14:38:49,609 ----------------------------------------------------------------------------------------------------
2023-04-05 14:39:08,414 epoch 54 - iter 265/2650 - loss 0.03981605 - time (sec): 18.80 - samples/sec: 7865.02 - lr: 0.100000
2023-04-05 14:39:26,505 epoch 54 - iter 530/2650 - loss 0.03929504 - time (sec): 36.90 - samples/sec: 7969.28 - lr: 0.100000
2023-04-05 14:39:45,534 epoch 54 - iter 795/2650 - loss 0.03963348 - time (sec): 55.93 - samples/sec: 7857.65 - lr: 0.100000
2023-04-05 14:40:04,767 epoch 54 - iter 1060/2650 - loss 0.03916536 - time (sec): 75.16 - samples/sec: 7780.08 - lr: 0.100000
2023-04-05 14:40:24,477 epoch 54 - iter 1325/2650 - loss 0.03970923 - time (sec): 94.87 - samples/sec: 7694.55 - lr: 0.100000
2023-04-05 14:40:44,409 epoch 54 - iter 1590/2650 - loss 0.03964163 - time (sec): 114.80 - samples/sec: 7632.03 - lr: 0.100000
2023-04-05 14:41:04,175 epoch 54 - iter 1855/2650 - loss 0.03981455 - time (sec): 134.57 - samples/sec: 7602.85 - lr: 0.100000
2023-04-05 14:41:23,642 epoch 54 - iter 2120/2650 - loss 0.03981412 - time (sec): 154.03 - samples/sec: 7590.31 - lr: 0.100000
2023-04-05 14:41:43,725 epoch 54 - iter 2385/2650 - loss 0.03986044 - time (sec): 174.12 - samples/sec: 7556.32 - lr: 0.100000
2023-04-05 14:42:03,660 epoch 54 - iter 2650/2650 - loss 0.04008108 - time (sec): 194.05 - samples/sec: 7535.97 - lr: 0.100000
2023-04-05 14:42:03,660 ----------------------------------------------------------------------------------------------------
2023-04-05 14:42:03,660 EPOCH 54 done: loss 0.0401 - lr 0.100000
2023-04-05 14:42:03,660 BAD EPOCHS (no improvement): 2
2023-04-05 14:42:03,663 ----------------------------------------------------------------------------------------------------
2023-04-05 14:42:23,194 epoch 55 - iter 265/2650 - loss 0.04017381 - time (sec): 19.53 - samples/sec: 7419.58 - lr: 0.100000
2023-04-05 14:42:42,458 epoch 55 - iter 530/2650 - loss 0.03991760 - time (sec): 38.79 - samples/sec: 7487.44 - lr: 0.100000
2023-04-05 14:43:01,639 epoch 55 - iter 795/2650 - loss 0.03980712 - time (sec): 57.98 - samples/sec: 7531.65 - lr: 0.100000
2023-04-05 14:43:20,860 epoch 55 - iter 1060/2650 - loss 0.04031493 - time (sec): 77.20 - samples/sec: 7549.20 - lr: 0.100000
2023-04-05 14:43:39,860 epoch 55 - iter 1325/2650 - loss 0.04080985 - time (sec): 96.20 - samples/sec: 7587.81 - lr: 0.100000
2023-04-05 14:43:59,211 epoch 55 - iter 1590/2650 - loss 0.04015990 - time (sec): 115.55 - samples/sec: 7592.55 - lr: 0.100000
2023-04-05 14:44:18,240 epoch 55 - iter 1855/2650 - loss 0.04041682 - time (sec): 134.58 - samples/sec: 7602.15 - lr: 0.100000
2023-04-05 14:44:37,083 epoch 55 - iter 2120/2650 - loss 0.04028490 - time (sec): 153.42 - samples/sec: 7618.85 - lr: 0.100000
2023-04-05 14:44:56,310 epoch 55 - iter 2385/2650 - loss 0.04010795 - time (sec): 172.65 - samples/sec: 7618.51 - lr: 0.100000
2023-04-05 14:45:15,215 epoch 55 - iter 2650/2650 - loss 0.04013712 - time (sec): 191.55 - samples/sec: 7634.29 - lr: 0.100000
2023-04-05 14:45:15,216 ----------------------------------------------------------------------------------------------------
2023-04-05 14:45:15,216 EPOCH 55 done: loss 0.0401 - lr 0.100000
2023-04-05 14:45:15,216 BAD EPOCHS (no improvement): 3
2023-04-05 14:45:15,219 ----------------------------------------------------------------------------------------------------
2023-04-05 14:45:33,724 epoch 56 - iter 265/2650 - loss 0.03769394 - time (sec): 18.51 - samples/sec: 7833.29 - lr: 0.100000
2023-04-05 14:45:52,223 epoch 56 - iter 530/2650 - loss 0.03896277 - time (sec): 37.00 - samples/sec: 7855.85 - lr: 0.100000
2023-04-05 14:46:11,732 epoch 56 - iter 795/2650 - loss 0.03943176 - time (sec): 56.51 - samples/sec: 7739.18 - lr: 0.100000
2023-04-05 14:46:30,409 epoch 56 - iter 1060/2650 - loss 0.03952033 - time (sec): 75.19 - samples/sec: 7764.41 - lr: 0.100000
2023-04-05 14:46:49,448 epoch 56 - iter 1325/2650 - loss 0.03985000 - time (sec): 94.23 - samples/sec: 7742.72 - lr: 0.100000
2023-04-05 14:47:08,186 epoch 56 - iter 1590/2650 - loss 0.03981211 - time (sec): 112.97 - samples/sec: 7770.54 - lr: 0.100000
2023-04-05 14:47:27,662 epoch 56 - iter 1855/2650 - loss 0.03993281 - time (sec): 132.44 - samples/sec: 7740.40 - lr: 0.100000
2023-04-05 14:47:46,803 epoch 56 - iter 2120/2650 - loss 0.03999352 - time (sec): 151.58 - samples/sec: 7733.18 - lr: 0.100000
2023-04-05 14:48:05,260 epoch 56 - iter 2385/2650 - loss 0.03994656 - time (sec): 170.04 - samples/sec: 7738.90 - lr: 0.100000
2023-04-05 14:48:24,098 epoch 56 - iter 2650/2650 - loss 0.03998935 - time (sec): 188.88 - samples/sec: 7742.30 - lr: 0.100000
2023-04-05 14:48:24,099 ----------------------------------------------------------------------------------------------------
2023-04-05 14:48:24,099 EPOCH 56 done: loss 0.0400 - lr 0.100000
2023-04-05 14:48:24,099 Epoch 56: reducing learning rate of group 0 to 5.0000e-02.
2023-04-05 14:48:24,099 BAD EPOCHS (no improvement): 4
2023-04-05 14:48:24,102 ----------------------------------------------------------------------------------------------------
2023-04-05 14:48:43,205 epoch 57 - iter 265/2650 - loss 0.03907072 - time (sec): 19.10 - samples/sec: 7694.36 - lr: 0.050000
2023-04-05 14:49:01,838 epoch 57 - iter 530/2650 - loss 0.03779608 - time (sec): 37.74 - samples/sec: 7756.67 - lr: 0.050000
2023-04-05 14:49:20,730 epoch 57 - iter 795/2650 - loss 0.03769503 - time (sec): 56.63 - samples/sec: 7742.26 - lr: 0.050000
2023-04-05 14:49:39,359 epoch 57 - iter 1060/2650 - loss 0.03746349 - time (sec): 75.26 - samples/sec: 7764.88 - lr: 0.050000
2023-04-05 14:49:58,372 epoch 57 - iter 1325/2650 - loss 0.03742412 - time (sec): 94.27 - samples/sec: 7756.47 - lr: 0.050000
2023-04-05 14:50:16,763 epoch 57 - iter 1590/2650 - loss 0.03735298 - time (sec): 112.66 - samples/sec: 7770.76 - lr: 0.050000
2023-04-05 14:50:35,864 epoch 57 - iter 1855/2650 - loss 0.03732667 - time (sec): 131.76 - samples/sec: 7768.05 - lr: 0.050000
2023-04-05 14:50:54,584 epoch 57 - iter 2120/2650 - loss 0.03733433 - time (sec): 150.48 - samples/sec: 7777.84 - lr: 0.050000
2023-04-05 14:51:13,434 epoch 57 - iter 2385/2650 - loss 0.03742976 - time (sec): 169.33 - samples/sec: 7774.35 - lr: 0.050000
2023-04-05 14:51:32,226 epoch 57 - iter 2650/2650 - loss 0.03726013 - time (sec): 188.12 - samples/sec: 7773.40 - lr: 0.050000
2023-04-05 14:51:32,226 ----------------------------------------------------------------------------------------------------
2023-04-05 14:51:32,226 EPOCH 57 done: loss 0.0373 - lr 0.050000
2023-04-05 14:51:32,226 BAD EPOCHS (no improvement): 0
2023-04-05 14:51:32,229 ----------------------------------------------------------------------------------------------------
2023-04-05 14:51:51,201 epoch 58 - iter 265/2650 - loss 0.03620344 - time (sec): 18.97 - samples/sec: 7703.67 - lr: 0.050000
2023-04-05 14:52:10,175 epoch 58 - iter 530/2650 - loss 0.03597562 - time (sec): 37.95 - samples/sec: 7690.36 - lr: 0.050000
2023-04-05 14:52:28,592 epoch 58 - iter 795/2650 - loss 0.03633511 - time (sec): 56.36 - samples/sec: 7753.59 - lr: 0.050000
2023-04-05 14:52:47,752 epoch 58 - iter 1060/2650 - loss 0.03635033 - time (sec): 75.52 - samples/sec: 7746.99 - lr: 0.050000
2023-04-05 14:53:06,615 epoch 58 - iter 1325/2650 - loss 0.03666345 - time (sec): 94.39 - samples/sec: 7758.81 - lr: 0.050000
2023-04-05 14:53:25,609 epoch 58 - iter 1590/2650 - loss 0.03633440 - time (sec): 113.38 - samples/sec: 7746.62 - lr: 0.050000
2023-04-05 14:53:44,356 epoch 58 - iter 1855/2650 - loss 0.03603023 - time (sec): 132.13 - samples/sec: 7758.56 - lr: 0.050000
2023-04-05 14:54:03,267 epoch 58 - iter 2120/2650 - loss 0.03602336 - time (sec): 151.04 - samples/sec: 7759.14 - lr: 0.050000
2023-04-05 14:54:22,244 epoch 58 - iter 2385/2650 - loss 0.03619007 - time (sec): 170.01 - samples/sec: 7749.16 - lr: 0.050000
2023-04-05 14:54:40,653 epoch 58 - iter 2650/2650 - loss 0.03619407 - time (sec): 188.42 - samples/sec: 7761.03 - lr: 0.050000
2023-04-05 14:54:40,653 ----------------------------------------------------------------------------------------------------
2023-04-05 14:54:40,654 EPOCH 58 done: loss 0.0362 - lr 0.050000
2023-04-05 14:54:40,654 BAD EPOCHS (no improvement): 0
2023-04-05 14:54:40,657 ----------------------------------------------------------------------------------------------------
2023-04-05 14:54:58,786 epoch 59 - iter 265/2650 - loss 0.03423522 - time (sec): 18.13 - samples/sec: 8028.99 - lr: 0.050000
2023-04-05 14:55:18,138 epoch 59 - iter 530/2650 - loss 0.03525574 - time (sec): 37.48 - samples/sec: 7750.49 - lr: 0.050000
2023-04-05 14:55:47,191 epoch 59 - iter 795/2650 - loss 0.03520167 - time (sec): 66.53 - samples/sec: 6560.71 - lr: 0.050000
2023-04-05 14:56:06,258 epoch 59 - iter 1060/2650 - loss 0.03537619 - time (sec): 85.60 - samples/sec: 6814.03 - lr: 0.050000
2023-04-05 14:56:25,073 epoch 59 - iter 1325/2650 - loss 0.03507860 - time (sec): 104.42 - samples/sec: 6989.40 - lr: 0.050000
2023-04-05 14:56:44,237 epoch 59 - iter 1590/2650 - loss 0.03525300 - time (sec): 123.58 - samples/sec: 7093.52 - lr: 0.050000
2023-04-05 14:57:02,899 epoch 59 - iter 1855/2650 - loss 0.03544920 - time (sec): 142.24 - samples/sec: 7202.62 - lr: 0.050000
2023-04-05 14:57:22,195 epoch 59 - iter 2120/2650 - loss 0.03540620 - time (sec): 161.54 - samples/sec: 7243.33 - lr: 0.050000
2023-04-05 14:57:40,927 epoch 59 - iter 2385/2650 - loss 0.03553751 - time (sec): 180.27 - samples/sec: 7300.38 - lr: 0.050000
2023-04-05 14:57:59,711 epoch 59 - iter 2650/2650 - loss 0.03535828 - time (sec): 199.05 - samples/sec: 7346.55 - lr: 0.050000
2023-04-05 14:57:59,712 ----------------------------------------------------------------------------------------------------
2023-04-05 14:57:59,712 EPOCH 59 done: loss 0.0354 - lr 0.050000
2023-04-05 14:57:59,712 BAD EPOCHS (no improvement): 0
2023-04-05 14:57:59,753 ----------------------------------------------------------------------------------------------------
2023-04-05 14:58:18,486 epoch 60 - iter 265/2650 - loss 0.03567379 - time (sec): 18.73 - samples/sec: 7782.76 - lr: 0.050000
2023-04-05 14:58:37,545 epoch 60 - iter 530/2650 - loss 0.03492927 - time (sec): 37.79 - samples/sec: 7764.48 - lr: 0.050000
2023-04-05 14:58:56,285 epoch 60 - iter 795/2650 - loss 0.03532277 - time (sec): 56.53 - samples/sec: 7773.21 - lr: 0.050000
2023-04-05 14:59:15,852 epoch 60 - iter 1060/2650 - loss 0.03495618 - time (sec): 76.10 - samples/sec: 7689.99 - lr: 0.050000
2023-04-05 14:59:35,464 epoch 60 - iter 1325/2650 - loss 0.03458261 - time (sec): 95.71 - samples/sec: 7630.56 - lr: 0.050000
2023-04-05 14:59:54,269 epoch 60 - iter 1590/2650 - loss 0.03468048 - time (sec): 114.52 - samples/sec: 7655.05 - lr: 0.050000
2023-04-05 15:00:13,191 epoch 60 - iter 1855/2650 - loss 0.03463277 - time (sec): 133.44 - samples/sec: 7670.41 - lr: 0.050000
2023-04-05 15:00:31,920 epoch 60 - iter 2120/2650 - loss 0.03467261 - time (sec): 152.17 - samples/sec: 7686.65 - lr: 0.050000
2023-04-05 15:00:50,579 epoch 60 - iter 2385/2650 - loss 0.03481973 - time (sec): 170.83 - samples/sec: 7694.72 - lr: 0.050000
2023-04-05 15:01:10,481 epoch 60 - iter 2650/2650 - loss 0.03499557 - time (sec): 190.73 - samples/sec: 7667.25 - lr: 0.050000
2023-04-05 15:01:10,482 ----------------------------------------------------------------------------------------------------
2023-04-05 15:01:10,482 EPOCH 60 done: loss 0.0350 - lr 0.050000
2023-04-05 15:01:10,482 BAD EPOCHS (no improvement): 0
2023-04-05 15:01:10,485 ----------------------------------------------------------------------------------------------------
2023-04-05 15:01:29,204 epoch 61 - iter 265/2650 - loss 0.03459561 - time (sec): 18.72 - samples/sec: 7868.99 - lr: 0.050000
2023-04-05 15:01:48,169 epoch 61 - iter 530/2650 - loss 0.03437296 - time (sec): 37.68 - samples/sec: 7804.57 - lr: 0.050000
2023-04-05 15:02:06,951 epoch 61 - iter 795/2650 - loss 0.03437846 - time (sec): 56.47 - samples/sec: 7767.89 - lr: 0.050000
2023-04-05 15:02:25,630 epoch 61 - iter 1060/2650 - loss 0.03475811 - time (sec): 75.15 - samples/sec: 7755.07 - lr: 0.050000
2023-04-05 15:02:44,777 epoch 61 - iter 1325/2650 - loss 0.03463230 - time (sec): 94.29 - samples/sec: 7738.28 - lr: 0.050000
2023-04-05 15:03:04,230 epoch 61 - iter 1590/2650 - loss 0.03474684 - time (sec): 113.75 - samples/sec: 7707.02 - lr: 0.050000
2023-04-05 15:03:22,833 epoch 61 - iter 1855/2650 - loss 0.03475785 - time (sec): 132.35 - samples/sec: 7729.88 - lr: 0.050000
2023-04-05 15:03:42,040 epoch 61 - iter 2120/2650 - loss 0.03463848 - time (sec): 151.55 - samples/sec: 7711.61 - lr: 0.050000
2023-04-05 15:04:01,076 epoch 61 - iter 2385/2650 - loss 0.03463164 - time (sec): 170.59 - samples/sec: 7707.98 - lr: 0.050000
2023-04-05 15:04:19,934 epoch 61 - iter 2650/2650 - loss 0.03482403 - time (sec): 189.45 - samples/sec: 7719.03 - lr: 0.050000
2023-04-05 15:04:19,935 ----------------------------------------------------------------------------------------------------
2023-04-05 15:04:19,935 EPOCH 61 done: loss 0.0348 - lr 0.050000
2023-04-05 15:04:19,935 BAD EPOCHS (no improvement): 0
2023-04-05 15:04:19,938 ----------------------------------------------------------------------------------------------------
2023-04-05 15:04:38,884 epoch 62 - iter 265/2650 - loss 0.03219591 - time (sec): 18.95 - samples/sec: 7699.05 - lr: 0.050000
2023-04-05 15:04:57,559 epoch 62 - iter 530/2650 - loss 0.03388253 - time (sec): 37.62 - samples/sec: 7720.99 - lr: 0.050000
2023-04-05 15:05:16,666 epoch 62 - iter 795/2650 - loss 0.03378619 - time (sec): 56.73 - samples/sec: 7722.38 - lr: 0.050000
2023-04-05 15:05:35,264 epoch 62 - iter 1060/2650 - loss 0.03413625 - time (sec): 75.33 - samples/sec: 7737.59 - lr: 0.050000
2023-04-05 15:05:54,377 epoch 62 - iter 1325/2650 - loss 0.03416657 - time (sec): 94.44 - samples/sec: 7725.00 - lr: 0.050000
2023-04-05 15:06:13,461 epoch 62 - iter 1590/2650 - loss 0.03370168 - time (sec): 113.52 - samples/sec: 7711.13 - lr: 0.050000
2023-04-05 15:06:32,882 epoch 62 - iter 1855/2650 - loss 0.03363980 - time (sec): 132.94 - samples/sec: 7704.77 - lr: 0.050000
2023-04-05 15:06:51,698 epoch 62 - iter 2120/2650 - loss 0.03362355 - time (sec): 151.76 - samples/sec: 7713.51 - lr: 0.050000
2023-04-05 15:07:10,268 epoch 62 - iter 2385/2650 - loss 0.03390164 - time (sec): 170.33 - samples/sec: 7734.76 - lr: 0.050000
2023-04-05 15:07:28,651 epoch 62 - iter 2650/2650 - loss 0.03388849 - time (sec): 188.71 - samples/sec: 7749.13 - lr: 0.050000
2023-04-05 15:07:28,652 ----------------------------------------------------------------------------------------------------
2023-04-05 15:07:28,652 EPOCH 62 done: loss 0.0339 - lr 0.050000
2023-04-05 15:07:28,652 BAD EPOCHS (no improvement): 0
2023-04-05 15:07:28,654 ----------------------------------------------------------------------------------------------------
2023-04-05 15:07:47,139 epoch 63 - iter 265/2650 - loss 0.03266954 - time (sec): 18.48 - samples/sec: 7884.70 - lr: 0.050000
2023-04-05 15:08:05,894 epoch 63 - iter 530/2650 - loss 0.03269010 - time (sec): 37.24 - samples/sec: 7867.54 - lr: 0.050000
2023-04-05 15:08:25,257 epoch 63 - iter 795/2650 - loss 0.03305519 - time (sec): 56.60 - samples/sec: 7778.90 - lr: 0.050000
2023-04-05 15:08:43,713 epoch 63 - iter 1060/2650 - loss 0.03313278 - time (sec): 75.06 - samples/sec: 7815.10 - lr: 0.050000
2023-04-05 15:09:02,719 epoch 63 - iter 1325/2650 - loss 0.03295265 - time (sec): 94.06 - samples/sec: 7798.32 - lr: 0.050000
2023-04-05 15:09:21,790 epoch 63 - iter 1590/2650 - loss 0.03308877 - time (sec): 113.14 - samples/sec: 7764.37 - lr: 0.050000
2023-04-05 15:09:40,821 epoch 63 - iter 1855/2650 - loss 0.03345972 - time (sec): 132.17 - samples/sec: 7756.00 - lr: 0.050000
2023-04-05 15:09:59,280 epoch 63 - iter 2120/2650 - loss 0.03346671 - time (sec): 150.63 - samples/sec: 7770.31 - lr: 0.050000
2023-04-05 15:10:17,982 epoch 63 - iter 2385/2650 - loss 0.03378690 - time (sec): 169.33 - samples/sec: 7781.22 - lr: 0.050000
2023-04-05 15:10:37,191 epoch 63 - iter 2650/2650 - loss 0.03390191 - time (sec): 188.54 - samples/sec: 7756.37 - lr: 0.050000
2023-04-05 15:10:37,192 ----------------------------------------------------------------------------------------------------
2023-04-05 15:10:37,192 EPOCH 63 done: loss 0.0339 - lr 0.050000
2023-04-05 15:10:37,192 BAD EPOCHS (no improvement): 1
2023-04-05 15:10:37,195 ----------------------------------------------------------------------------------------------------
2023-04-05 15:10:56,324 epoch 64 - iter 265/2650 - loss 0.03362924 - time (sec): 19.13 - samples/sec: 7591.97 - lr: 0.050000
2023-04-05 15:11:15,727 epoch 64 - iter 530/2650 - loss 0.03441093 - time (sec): 38.53 - samples/sec: 7589.10 - lr: 0.050000
2023-04-05 15:11:35,865 epoch 64 - iter 795/2650 - loss 0.03391532 - time (sec): 58.67 - samples/sec: 7487.02 - lr: 0.050000
2023-04-05 15:11:55,932 epoch 64 - iter 1060/2650 - loss 0.03397607 - time (sec): 78.74 - samples/sec: 7420.15 - lr: 0.050000
2023-04-05 15:12:15,636 epoch 64 - iter 1325/2650 - loss 0.03374106 - time (sec): 98.44 - samples/sec: 7407.92 - lr: 0.050000
2023-04-05 15:12:34,967 epoch 64 - iter 1590/2650 - loss 0.03347775 - time (sec): 117.77 - samples/sec: 7432.65 - lr: 0.050000
2023-04-05 15:12:54,724 epoch 64 - iter 1855/2650 - loss 0.03361139 - time (sec): 137.53 - samples/sec: 7435.73 - lr: 0.050000
2023-04-05 15:13:14,618 epoch 64 - iter 2120/2650 - loss 0.03360450 - time (sec): 157.42 - samples/sec: 7436.66 - lr: 0.050000
2023-04-05 15:13:33,887 epoch 64 - iter 2385/2650 - loss 0.03364149 - time (sec): 176.69 - samples/sec: 7449.92 - lr: 0.050000
2023-04-05 15:13:52,355 epoch 64 - iter 2650/2650 - loss 0.03344772 - time (sec): 195.16 - samples/sec: 7493.16 - lr: 0.050000
2023-04-05 15:13:52,356 ----------------------------------------------------------------------------------------------------
2023-04-05 15:13:52,356 EPOCH 64 done: loss 0.0334 - lr 0.050000
2023-04-05 15:13:52,356 BAD EPOCHS (no improvement): 0
2023-04-05 15:13:52,358 ----------------------------------------------------------------------------------------------------
2023-04-05 15:14:10,790 epoch 65 - iter 265/2650 - loss 0.03288048 - time (sec): 18.43 - samples/sec: 7864.48 - lr: 0.050000
2023-04-05 15:14:30,664 epoch 65 - iter 530/2650 - loss 0.03250524 - time (sec): 38.31 - samples/sec: 7638.13 - lr: 0.050000
2023-04-05 15:14:49,936 epoch 65 - iter 795/2650 - loss 0.03313956 - time (sec): 57.58 - samples/sec: 7640.26 - lr: 0.050000
2023-04-05 15:15:08,655 epoch 65 - iter 1060/2650 - loss 0.03331832 - time (sec): 76.30 - samples/sec: 7683.99 - lr: 0.050000
2023-04-05 15:15:27,260 epoch 65 - iter 1325/2650 - loss 0.03337080 - time (sec): 94.90 - samples/sec: 7711.43 - lr: 0.050000
2023-04-05 15:15:46,612 epoch 65 - iter 1590/2650 - loss 0.03336752 - time (sec): 114.25 - samples/sec: 7689.62 - lr: 0.050000
2023-04-05 15:16:05,046 epoch 65 - iter 1855/2650 - loss 0.03324501 - time (sec): 132.69 - samples/sec: 7717.02 - lr: 0.050000
2023-04-05 15:16:23,503 epoch 65 - iter 2120/2650 - loss 0.03323006 - time (sec): 151.14 - samples/sec: 7743.93 - lr: 0.050000
2023-04-05 15:16:41,955 epoch 65 - iter 2385/2650 - loss 0.03325825 - time (sec): 169.60 - samples/sec: 7763.36 - lr: 0.050000
2023-04-05 15:17:00,730 epoch 65 - iter 2650/2650 - loss 0.03327492 - time (sec): 188.37 - samples/sec: 7763.18 - lr: 0.050000
2023-04-05 15:17:00,731 ----------------------------------------------------------------------------------------------------
2023-04-05 15:17:00,731 EPOCH 65 done: loss 0.0333 - lr 0.050000
2023-04-05 15:17:00,731 BAD EPOCHS (no improvement): 0
2023-04-05 15:17:00,734 ----------------------------------------------------------------------------------------------------
2023-04-05 15:17:19,608 epoch 66 - iter 265/2650 - loss 0.03453069 - time (sec): 18.87 - samples/sec: 7762.66 - lr: 0.050000
2023-04-05 15:17:38,856 epoch 66 - iter 530/2650 - loss 0.03478302 - time (sec): 38.12 - samples/sec: 7735.47 - lr: 0.050000
2023-04-05 15:17:57,617 epoch 66 - iter 795/2650 - loss 0.03363654 - time (sec): 56.88 - samples/sec: 7743.84 - lr: 0.050000
2023-04-05 15:18:15,681 epoch 66 - iter 1060/2650 - loss 0.03360564 - time (sec): 74.95 - samples/sec: 7808.49 - lr: 0.050000
2023-04-05 15:18:34,515 epoch 66 - iter 1325/2650 - loss 0.03340537 - time (sec): 93.78 - samples/sec: 7785.64 - lr: 0.050000
2023-04-05 15:18:52,971 epoch 66 - iter 1590/2650 - loss 0.03337737 - time (sec): 112.24 - samples/sec: 7801.42 - lr: 0.050000
2023-04-05 15:19:12,162 epoch 66 - iter 1855/2650 - loss 0.03317414 - time (sec): 131.43 - samples/sec: 7780.12 - lr: 0.050000
2023-04-05 15:19:30,931 epoch 66 - iter 2120/2650 - loss 0.03315331 - time (sec): 150.20 - samples/sec: 7782.80 - lr: 0.050000
2023-04-05 15:19:49,759 epoch 66 - iter 2385/2650 - loss 0.03335950 - time (sec): 169.03 - samples/sec: 7784.18 - lr: 0.050000
2023-04-05 15:20:08,762 epoch 66 - iter 2650/2650 - loss 0.03326953 - time (sec): 188.03 - samples/sec: 7777.35 - lr: 0.050000
2023-04-05 15:20:08,763 ----------------------------------------------------------------------------------------------------
2023-04-05 15:20:08,763 EPOCH 66 done: loss 0.0333 - lr 0.050000
2023-04-05 15:20:08,763 BAD EPOCHS (no improvement): 0
2023-04-05 15:20:08,766 ----------------------------------------------------------------------------------------------------
2023-04-05 15:20:27,413 epoch 67 - iter 265/2650 - loss 0.03321950 - time (sec): 18.65 - samples/sec: 7825.69 - lr: 0.050000
2023-04-05 15:20:45,717 epoch 67 - iter 530/2650 - loss 0.03272982 - time (sec): 36.95 - samples/sec: 7834.68 - lr: 0.050000
2023-04-05 15:21:05,004 epoch 67 - iter 795/2650 - loss 0.03271262 - time (sec): 56.24 - samples/sec: 7773.98 - lr: 0.050000
2023-04-05 15:21:24,015 epoch 67 - iter 1060/2650 - loss 0.03282520 - time (sec): 75.25 - samples/sec: 7773.65 - lr: 0.050000
2023-04-05 15:21:43,055 epoch 67 - iter 1325/2650 - loss 0.03274082 - time (sec): 94.29 - samples/sec: 7756.71 - lr: 0.050000
2023-04-05 15:22:01,632 epoch 67 - iter 1590/2650 - loss 0.03274120 - time (sec): 112.87 - samples/sec: 7766.18 - lr: 0.050000
2023-04-05 15:22:20,142 epoch 67 - iter 1855/2650 - loss 0.03303001 - time (sec): 131.38 - samples/sec: 7776.79 - lr: 0.050000
2023-04-05 15:22:39,613 epoch 67 - iter 2120/2650 - loss 0.03319422 - time (sec): 150.85 - samples/sec: 7749.58 - lr: 0.050000
2023-04-05 15:22:58,788 epoch 67 - iter 2385/2650 - loss 0.03322667 - time (sec): 170.02 - samples/sec: 7740.24 - lr: 0.050000
2023-04-05 15:23:17,919 epoch 67 - iter 2650/2650 - loss 0.03317443 - time (sec): 189.15 - samples/sec: 7731.10 - lr: 0.050000
2023-04-05 15:23:17,919 ----------------------------------------------------------------------------------------------------
2023-04-05 15:23:17,919 EPOCH 67 done: loss 0.0332 - lr 0.050000
2023-04-05 15:23:17,919 BAD EPOCHS (no improvement): 0
2023-04-05 15:23:17,923 ----------------------------------------------------------------------------------------------------
2023-04-05 15:23:36,837 epoch 68 - iter 265/2650 - loss 0.03117733 - time (sec): 18.91 - samples/sec: 7673.06 - lr: 0.050000
2023-04-05 15:23:55,963 epoch 68 - iter 530/2650 - loss 0.03198562 - time (sec): 38.04 - samples/sec: 7686.78 - lr: 0.050000
2023-04-05 15:24:16,429 epoch 68 - iter 795/2650 - loss 0.03239173 - time (sec): 58.51 - samples/sec: 7504.45 - lr: 0.050000
2023-04-05 15:24:35,409 epoch 68 - iter 1060/2650 - loss 0.03246876 - time (sec): 77.49 - samples/sec: 7553.31 - lr: 0.050000
2023-04-05 15:24:53,993 epoch 68 - iter 1325/2650 - loss 0.03252904 - time (sec): 96.07 - samples/sec: 7603.49 - lr: 0.050000
2023-04-05 15:25:12,963 epoch 68 - iter 1590/2650 - loss 0.03256733 - time (sec): 115.04 - samples/sec: 7620.88 - lr: 0.050000
2023-04-05 15:25:32,189 epoch 68 - iter 1855/2650 - loss 0.03258630 - time (sec): 134.27 - samples/sec: 7633.07 - lr: 0.050000
2023-04-05 15:25:50,712 epoch 68 - iter 2120/2650 - loss 0.03258580 - time (sec): 152.79 - samples/sec: 7669.26 - lr: 0.050000
2023-04-05 15:26:09,750 epoch 68 - iter 2385/2650 - loss 0.03279360 - time (sec): 171.83 - samples/sec: 7666.96 - lr: 0.050000
2023-04-05 15:26:28,753 epoch 68 - iter 2650/2650 - loss 0.03274483 - time (sec): 190.83 - samples/sec: 7663.17 - lr: 0.050000
2023-04-05 15:26:28,753 ----------------------------------------------------------------------------------------------------
2023-04-05 15:26:28,753 EPOCH 68 done: loss 0.0327 - lr 0.050000
2023-04-05 15:26:28,753 BAD EPOCHS (no improvement): 0
2023-04-05 15:26:28,756 ----------------------------------------------------------------------------------------------------
2023-04-05 15:26:47,367 epoch 69 - iter 265/2650 - loss 0.03300039 - time (sec): 18.61 - samples/sec: 7835.16 - lr: 0.050000
2023-04-05 15:27:06,726 epoch 69 - iter 530/2650 - loss 0.03385157 - time (sec): 37.97 - samples/sec: 7728.45 - lr: 0.050000
2023-04-05 15:27:25,414 epoch 69 - iter 795/2650 - loss 0.03315806 - time (sec): 56.66 - samples/sec: 7768.01 - lr: 0.050000
2023-04-05 15:27:44,854 epoch 69 - iter 1060/2650 - loss 0.03327379 - time (sec): 76.10 - samples/sec: 7724.62 - lr: 0.050000
2023-04-05 15:28:03,568 epoch 69 - iter 1325/2650 - loss 0.03298657 - time (sec): 94.81 - samples/sec: 7731.09 - lr: 0.050000
2023-04-05 15:28:22,924 epoch 69 - iter 1590/2650 - loss 0.03292389 - time (sec): 114.17 - samples/sec: 7697.92 - lr: 0.050000
2023-04-05 15:28:41,778 epoch 69 - iter 1855/2650 - loss 0.03291942 - time (sec): 133.02 - samples/sec: 7706.39 - lr: 0.050000
2023-04-05 15:29:00,486 epoch 69 - iter 2120/2650 - loss 0.03295967 - time (sec): 151.73 - samples/sec: 7720.73 - lr: 0.050000
2023-04-05 15:29:19,336 epoch 69 - iter 2385/2650 - loss 0.03261018 - time (sec): 170.58 - samples/sec: 7720.40 - lr: 0.050000
2023-04-05 15:29:38,289 epoch 69 - iter 2650/2650 - loss 0.03253121 - time (sec): 189.53 - samples/sec: 7715.63 - lr: 0.050000
2023-04-05 15:29:38,289 ----------------------------------------------------------------------------------------------------
2023-04-05 15:29:38,289 EPOCH 69 done: loss 0.0325 - lr 0.050000
2023-04-05 15:29:38,289 BAD EPOCHS (no improvement): 0
2023-04-05 15:29:38,292 ----------------------------------------------------------------------------------------------------
2023-04-05 15:29:56,789 epoch 70 - iter 265/2650 - loss 0.03203543 - time (sec): 18.50 - samples/sec: 7897.25 - lr: 0.050000
2023-04-05 15:30:15,698 epoch 70 - iter 530/2650 - loss 0.03172506 - time (sec): 37.41 - samples/sec: 7785.60 - lr: 0.050000
2023-04-05 15:30:35,420 epoch 70 - iter 795/2650 - loss 0.03140745 - time (sec): 57.13 - samples/sec: 7653.76 - lr: 0.050000
2023-04-05 15:30:55,007 epoch 70 - iter 1060/2650 - loss 0.03198195 - time (sec): 76.72 - samples/sec: 7598.20 - lr: 0.050000
2023-04-05 15:31:13,804 epoch 70 - iter 1325/2650 - loss 0.03222199 - time (sec): 95.51 - samples/sec: 7637.14 - lr: 0.050000
2023-04-05 15:31:32,554 epoch 70 - iter 1590/2650 - loss 0.03236273 - time (sec): 114.26 - samples/sec: 7668.29 - lr: 0.050000
2023-04-05 15:31:51,653 epoch 70 - iter 1855/2650 - loss 0.03233581 - time (sec): 133.36 - samples/sec: 7661.01 - lr: 0.050000
2023-04-05 15:32:10,638 epoch 70 - iter 2120/2650 - loss 0.03245261 - time (sec): 152.35 - samples/sec: 7672.04 - lr: 0.050000
2023-04-05 15:32:29,587 epoch 70 - iter 2385/2650 - loss 0.03258235 - time (sec): 171.29 - samples/sec: 7682.46 - lr: 0.050000
2023-04-05 15:32:47,812 epoch 70 - iter 2650/2650 - loss 0.03260023 - time (sec): 189.52 - samples/sec: 7716.14 - lr: 0.050000
2023-04-05 15:32:47,812 ----------------------------------------------------------------------------------------------------
2023-04-05 15:32:47,812 EPOCH 70 done: loss 0.0326 - lr 0.050000
2023-04-05 15:32:47,812 BAD EPOCHS (no improvement): 1
2023-04-05 15:32:47,815 ----------------------------------------------------------------------------------------------------
2023-04-05 15:33:06,623 epoch 71 - iter 265/2650 - loss 0.03243372 - time (sec): 18.81 - samples/sec: 7707.29 - lr: 0.050000
2023-04-05 15:33:25,164 epoch 71 - iter 530/2650 - loss 0.03200419 - time (sec): 37.35 - samples/sec: 7772.22 - lr: 0.050000
2023-04-05 15:33:43,891 epoch 71 - iter 795/2650 - loss 0.03257660 - time (sec): 56.08 - samples/sec: 7803.16 - lr: 0.050000
2023-04-05 15:34:02,399 epoch 71 - iter 1060/2650 - loss 0.03263374 - time (sec): 74.58 - samples/sec: 7824.22 - lr: 0.050000
2023-04-05 15:34:21,332 epoch 71 - iter 1325/2650 - loss 0.03284093 - time (sec): 93.52 - samples/sec: 7803.10 - lr: 0.050000
2023-04-05 15:34:40,323 epoch 71 - iter 1590/2650 - loss 0.03259694 - time (sec): 112.51 - samples/sec: 7798.91 - lr: 0.050000
2023-04-05 15:34:58,782 epoch 71 - iter 1855/2650 - loss 0.03267710 - time (sec): 130.97 - samples/sec: 7813.11 - lr: 0.050000
2023-04-05 15:35:17,689 epoch 71 - iter 2120/2650 - loss 0.03272215 - time (sec): 149.87 - samples/sec: 7801.96 - lr: 0.050000
2023-04-05 15:35:36,704 epoch 71 - iter 2385/2650 - loss 0.03271667 - time (sec): 168.89 - samples/sec: 7792.86 - lr: 0.050000
2023-04-05 15:35:56,182 epoch 71 - iter 2650/2650 - loss 0.03282474 - time (sec): 188.37 - samples/sec: 7763.40 - lr: 0.050000
2023-04-05 15:35:56,182 ----------------------------------------------------------------------------------------------------
2023-04-05 15:35:56,182 EPOCH 71 done: loss 0.0328 - lr 0.050000
2023-04-05 15:35:56,182 BAD EPOCHS (no improvement): 2
2023-04-05 15:35:56,185 ----------------------------------------------------------------------------------------------------
2023-04-05 15:36:15,097 epoch 72 - iter 265/2650 - loss 0.03151443 - time (sec): 18.91 - samples/sec: 7654.73 - lr: 0.050000
2023-04-05 15:36:34,341 epoch 72 - iter 530/2650 - loss 0.03280041 - time (sec): 38.16 - samples/sec: 7646.55 - lr: 0.050000
2023-04-05 15:36:53,431 epoch 72 - iter 795/2650 - loss 0.03244706 - time (sec): 57.25 - samples/sec: 7693.06 - lr: 0.050000
2023-04-05 15:37:11,898 epoch 72 - iter 1060/2650 - loss 0.03218374 - time (sec): 75.71 - samples/sec: 7716.62 - lr: 0.050000
2023-04-05 15:37:30,345 epoch 72 - iter 1325/2650 - loss 0.03218432 - time (sec): 94.16 - samples/sec: 7755.00 - lr: 0.050000
2023-04-05 15:37:48,354 epoch 72 - iter 1590/2650 - loss 0.03227949 - time (sec): 112.17 - samples/sec: 7798.71 - lr: 0.050000
2023-04-05 15:38:07,512 epoch 72 - iter 1855/2650 - loss 0.03241668 - time (sec): 131.33 - samples/sec: 7785.25 - lr: 0.050000
2023-04-05 15:38:26,525 epoch 72 - iter 2120/2650 - loss 0.03241169 - time (sec): 150.34 - samples/sec: 7772.49 - lr: 0.050000
2023-04-05 15:38:45,661 epoch 72 - iter 2385/2650 - loss 0.03224397 - time (sec): 169.48 - samples/sec: 7763.80 - lr: 0.050000
2023-04-05 15:39:04,439 epoch 72 - iter 2650/2650 - loss 0.03223035 - time (sec): 188.25 - samples/sec: 7768.04 - lr: 0.050000
2023-04-05 15:39:04,440 ----------------------------------------------------------------------------------------------------
2023-04-05 15:39:04,440 EPOCH 72 done: loss 0.0322 - lr 0.050000
2023-04-05 15:39:04,440 BAD EPOCHS (no improvement): 0
2023-04-05 15:39:04,443 ----------------------------------------------------------------------------------------------------
2023-04-05 15:39:23,446 epoch 73 - iter 265/2650 - loss 0.03025159 - time (sec): 19.00 - samples/sec: 7655.93 - lr: 0.050000
2023-04-05 15:39:41,831 epoch 73 - iter 530/2650 - loss 0.03154995 - time (sec): 37.39 - samples/sec: 7822.92 - lr: 0.050000
2023-04-05 15:40:01,268 epoch 73 - iter 795/2650 - loss 0.03153581 - time (sec): 56.82 - samples/sec: 7749.24 - lr: 0.050000
2023-04-05 15:40:20,654 epoch 73 - iter 1060/2650 - loss 0.03158741 - time (sec): 76.21 - samples/sec: 7700.37 - lr: 0.050000
2023-04-05 15:40:40,088 epoch 73 - iter 1325/2650 - loss 0.03174891 - time (sec): 95.64 - samples/sec: 7676.64 - lr: 0.050000
2023-04-05 15:40:58,902 epoch 73 - iter 1590/2650 - loss 0.03194426 - time (sec): 114.46 - samples/sec: 7685.86 - lr: 0.050000
2023-04-05 15:41:17,836 epoch 73 - iter 1855/2650 - loss 0.03183025 - time (sec): 133.39 - samples/sec: 7682.11 - lr: 0.050000
2023-04-05 15:41:36,813 epoch 73 - iter 2120/2650 - loss 0.03173949 - time (sec): 152.37 - samples/sec: 7675.42 - lr: 0.050000
2023-04-05 15:41:56,314 epoch 73 - iter 2385/2650 - loss 0.03183578 - time (sec): 171.87 - samples/sec: 7654.72 - lr: 0.050000
2023-04-05 15:42:15,521 epoch 73 - iter 2650/2650 - loss 0.03208117 - time (sec): 191.08 - samples/sec: 7653.23 - lr: 0.050000
2023-04-05 15:42:15,521 ----------------------------------------------------------------------------------------------------
2023-04-05 15:42:15,521 EPOCH 73 done: loss 0.0321 - lr 0.050000
2023-04-05 15:42:15,521 BAD EPOCHS (no improvement): 0
2023-04-05 15:42:15,525 ----------------------------------------------------------------------------------------------------
2023-04-05 15:42:34,403 epoch 74 - iter 265/2650 - loss 0.03131834 - time (sec): 18.88 - samples/sec: 7794.49 - lr: 0.050000
2023-04-05 15:42:53,190 epoch 74 - iter 530/2650 - loss 0.03209112 - time (sec): 37.67 - samples/sec: 7824.70 - lr: 0.050000
2023-04-05 15:43:11,694 epoch 74 - iter 795/2650 - loss 0.03136822 - time (sec): 56.17 - samples/sec: 7844.32 - lr: 0.050000
2023-04-05 15:43:30,360 epoch 74 - iter 1060/2650 - loss 0.03169248 - time (sec): 74.83 - samples/sec: 7839.33 - lr: 0.050000
2023-04-05 15:43:49,146 epoch 74 - iter 1325/2650 - loss 0.03192538 - time (sec): 93.62 - samples/sec: 7830.22 - lr: 0.050000
2023-04-05 15:44:07,183 epoch 74 - iter 1590/2650 - loss 0.03185558 - time (sec): 111.66 - samples/sec: 7874.33 - lr: 0.050000
2023-04-05 15:44:25,814 epoch 74 - iter 1855/2650 - loss 0.03180182 - time (sec): 130.29 - samples/sec: 7871.49 - lr: 0.050000
2023-04-05 15:44:44,392 epoch 74 - iter 2120/2650 - loss 0.03193431 - time (sec): 148.87 - samples/sec: 7873.45 - lr: 0.050000
2023-04-05 15:45:13,830 epoch 74 - iter 2385/2650 - loss 0.03199040 - time (sec): 178.30 - samples/sec: 7389.15 - lr: 0.050000
2023-04-05 15:45:32,314 epoch 74 - iter 2650/2650 - loss 0.03202721 - time (sec): 196.79 - samples/sec: 7431.12 - lr: 0.050000
2023-04-05 15:45:32,315 ----------------------------------------------------------------------------------------------------
2023-04-05 15:45:32,315 EPOCH 74 done: loss 0.0320 - lr 0.050000
2023-04-05 15:45:32,315 BAD EPOCHS (no improvement): 0
2023-04-05 15:45:32,317 ----------------------------------------------------------------------------------------------------
2023-04-05 15:45:50,450 epoch 75 - iter 265/2650 - loss 0.03141618 - time (sec): 18.13 - samples/sec: 8034.93 - lr: 0.050000
2023-04-05 15:46:08,623 epoch 75 - iter 530/2650 - loss 0.03197292 - time (sec): 36.31 - samples/sec: 7988.43 - lr: 0.050000
2023-04-05 15:46:26,808 epoch 75 - iter 795/2650 - loss 0.03134681 - time (sec): 54.49 - samples/sec: 7995.31 - lr: 0.050000
2023-04-05 15:46:44,933 epoch 75 - iter 1060/2650 - loss 0.03192776 - time (sec): 72.62 - samples/sec: 8002.01 - lr: 0.050000
2023-04-05 15:47:03,176 epoch 75 - iter 1325/2650 - loss 0.03152328 - time (sec): 90.86 - samples/sec: 8009.14 - lr: 0.050000
2023-04-05 15:47:21,555 epoch 75 - iter 1590/2650 - loss 0.03146836 - time (sec): 109.24 - samples/sec: 8012.41 - lr: 0.050000
2023-04-05 15:47:40,149 epoch 75 - iter 1855/2650 - loss 0.03180467 - time (sec): 127.83 - samples/sec: 7987.72 - lr: 0.050000
2023-04-05 15:47:58,238 epoch 75 - iter 2120/2650 - loss 0.03174516 - time (sec): 145.92 - samples/sec: 8006.60 - lr: 0.050000
2023-04-05 15:48:16,628 epoch 75 - iter 2385/2650 - loss 0.03176793 - time (sec): 164.31 - samples/sec: 8005.61 - lr: 0.050000
2023-04-05 15:48:35,161 epoch 75 - iter 2650/2650 - loss 0.03181570 - time (sec): 182.84 - samples/sec: 7997.90 - lr: 0.050000
2023-04-05 15:48:35,161 ----------------------------------------------------------------------------------------------------
2023-04-05 15:48:35,161 EPOCH 75 done: loss 0.0318 - lr 0.050000
2023-04-05 15:48:35,161 BAD EPOCHS (no improvement): 0
2023-04-05 15:48:35,164 ----------------------------------------------------------------------------------------------------
2023-04-05 15:48:53,513 epoch 76 - iter 265/2650 - loss 0.03017883 - time (sec): 18.35 - samples/sec: 7961.79 - lr: 0.050000
2023-04-05 15:49:11,821 epoch 76 - iter 530/2650 - loss 0.03026187 - time (sec): 36.66 - samples/sec: 7981.36 - lr: 0.050000
2023-04-05 15:49:29,609 epoch 76 - iter 795/2650 - loss 0.03093123 - time (sec): 54.45 - samples/sec: 8042.26 - lr: 0.050000
2023-04-05 15:49:47,618 epoch 76 - iter 1060/2650 - loss 0.03127987 - time (sec): 72.45 - samples/sec: 8020.51 - lr: 0.050000
2023-04-05 15:50:05,789 epoch 76 - iter 1325/2650 - loss 0.03173655 - time (sec): 90.63 - samples/sec: 8032.44 - lr: 0.050000
2023-04-05 15:50:24,029 epoch 76 - iter 1590/2650 - loss 0.03166301 - time (sec): 108.87 - samples/sec: 8039.17 - lr: 0.050000
2023-04-05 15:50:42,505 epoch 76 - iter 1855/2650 - loss 0.03166008 - time (sec): 127.34 - samples/sec: 8030.32 - lr: 0.050000
2023-04-05 15:50:59,933 epoch 76 - iter 2120/2650 - loss 0.03158149 - time (sec): 144.77 - samples/sec: 8065.07 - lr: 0.050000
2023-04-05 15:51:18,046 epoch 76 - iter 2385/2650 - loss 0.03162405 - time (sec): 162.88 - samples/sec: 8070.88 - lr: 0.050000
2023-04-05 15:51:36,782 epoch 76 - iter 2650/2650 - loss 0.03160297 - time (sec): 181.62 - samples/sec: 8051.84 - lr: 0.050000
2023-04-05 15:51:36,783 ----------------------------------------------------------------------------------------------------
2023-04-05 15:51:36,783 EPOCH 76 done: loss 0.0316 - lr 0.050000
2023-04-05 15:51:36,783 BAD EPOCHS (no improvement): 0
2023-04-05 15:51:36,785 ----------------------------------------------------------------------------------------------------
2023-04-05 15:51:55,713 epoch 77 - iter 265/2650 - loss 0.03218330 - time (sec): 18.93 - samples/sec: 7899.36 - lr: 0.050000
2023-04-05 15:52:13,994 epoch 77 - iter 530/2650 - loss 0.03187748 - time (sec): 37.21 - samples/sec: 7923.32 - lr: 0.050000
2023-04-05 15:52:32,065 epoch 77 - iter 795/2650 - loss 0.03177840 - time (sec): 55.28 - samples/sec: 7992.74 - lr: 0.050000
2023-04-05 15:52:49,961 epoch 77 - iter 1060/2650 - loss 0.03167606 - time (sec): 73.18 - samples/sec: 8044.32 - lr: 0.050000
2023-04-05 15:53:08,316 epoch 77 - iter 1325/2650 - loss 0.03169360 - time (sec): 91.53 - samples/sec: 8020.24 - lr: 0.050000
2023-04-05 15:53:26,361 epoch 77 - iter 1590/2650 - loss 0.03185192 - time (sec): 109.58 - samples/sec: 8037.85 - lr: 0.050000
2023-04-05 15:53:44,204 epoch 77 - iter 1855/2650 - loss 0.03203371 - time (sec): 127.42 - samples/sec: 8052.18 - lr: 0.050000
2023-04-05 15:54:02,347 epoch 77 - iter 2120/2650 - loss 0.03198228 - time (sec): 145.56 - samples/sec: 8056.20 - lr: 0.050000
2023-04-05 15:54:20,345 epoch 77 - iter 2385/2650 - loss 0.03184141 - time (sec): 163.56 - samples/sec: 8054.11 - lr: 0.050000
2023-04-05 15:54:38,174 epoch 77 - iter 2650/2650 - loss 0.03186972 - time (sec): 181.39 - samples/sec: 8062.04 - lr: 0.050000
2023-04-05 15:54:38,174 ----------------------------------------------------------------------------------------------------
2023-04-05 15:54:38,175 EPOCH 77 done: loss 0.0319 - lr 0.050000
2023-04-05 15:54:38,175 BAD EPOCHS (no improvement): 1
2023-04-05 15:54:38,178 ----------------------------------------------------------------------------------------------------
2023-04-05 15:54:56,625 epoch 78 - iter 265/2650 - loss 0.03017653 - time (sec): 18.45 - samples/sec: 7944.50 - lr: 0.050000
2023-04-05 15:55:14,646 epoch 78 - iter 530/2650 - loss 0.03077051 - time (sec): 36.47 - samples/sec: 8034.11 - lr: 0.050000
2023-04-05 15:55:32,678 epoch 78 - iter 795/2650 - loss 0.03042051 - time (sec): 54.50 - samples/sec: 8057.21 - lr: 0.050000
2023-04-05 15:55:50,782 epoch 78 - iter 1060/2650 - loss 0.03067265 - time (sec): 72.60 - samples/sec: 8075.66 - lr: 0.050000
2023-04-05 15:56:08,754 epoch 78 - iter 1325/2650 - loss 0.03149557 - time (sec): 90.58 - samples/sec: 8086.87 - lr: 0.050000
2023-04-05 15:56:26,718 epoch 78 - iter 1590/2650 - loss 0.03129815 - time (sec): 108.54 - samples/sec: 8092.28 - lr: 0.050000
2023-04-05 15:56:44,574 epoch 78 - iter 1855/2650 - loss 0.03118039 - time (sec): 126.40 - samples/sec: 8100.97 - lr: 0.050000
2023-04-05 15:57:02,497 epoch 78 - iter 2120/2650 - loss 0.03119876 - time (sec): 144.32 - samples/sec: 8101.22 - lr: 0.050000
2023-04-05 15:57:20,456 epoch 78 - iter 2385/2650 - loss 0.03103000 - time (sec): 162.28 - samples/sec: 8101.61 - lr: 0.050000
2023-04-05 15:57:38,822 epoch 78 - iter 2650/2650 - loss 0.03110662 - time (sec): 180.64 - samples/sec: 8095.29 - lr: 0.050000
2023-04-05 15:57:38,822 ----------------------------------------------------------------------------------------------------
2023-04-05 15:57:38,822 EPOCH 78 done: loss 0.0311 - lr 0.050000
2023-04-05 15:57:38,822 BAD EPOCHS (no improvement): 0
2023-04-05 15:57:38,825 ----------------------------------------------------------------------------------------------------
2023-04-05 15:57:56,636 epoch 79 - iter 265/2650 - loss 0.03136639 - time (sec): 17.81 - samples/sec: 8218.91 - lr: 0.050000
2023-04-05 15:58:14,368 epoch 79 - iter 530/2650 - loss 0.03082705 - time (sec): 35.54 - samples/sec: 8252.69 - lr: 0.050000
2023-04-05 15:58:32,335 epoch 79 - iter 795/2650 - loss 0.03060434 - time (sec): 53.51 - samples/sec: 8194.27 - lr: 0.050000
2023-04-05 15:58:51,200 epoch 79 - iter 1060/2650 - loss 0.03045012 - time (sec): 72.37 - samples/sec: 8114.44 - lr: 0.050000
2023-04-05 15:59:09,293 epoch 79 - iter 1325/2650 - loss 0.03046960 - time (sec): 90.47 - samples/sec: 8104.49 - lr: 0.050000
2023-04-05 15:59:27,350 epoch 79 - iter 1590/2650 - loss 0.03121398 - time (sec): 108.53 - samples/sec: 8113.71 - lr: 0.050000
2023-04-05 15:59:45,223 epoch 79 - iter 1855/2650 - loss 0.03123924 - time (sec): 126.40 - samples/sec: 8101.71 - lr: 0.050000
2023-04-05 16:00:03,761 epoch 79 - iter 2120/2650 - loss 0.03126028 - time (sec): 144.94 - samples/sec: 8071.14 - lr: 0.050000
2023-04-05 16:00:21,904 epoch 79 - iter 2385/2650 - loss 0.03147229 - time (sec): 163.08 - samples/sec: 8073.15 - lr: 0.050000
2023-04-05 16:00:39,566 epoch 79 - iter 2650/2650 - loss 0.03147414 - time (sec): 180.74 - samples/sec: 8090.91 - lr: 0.050000
2023-04-05 16:00:39,567 ----------------------------------------------------------------------------------------------------
2023-04-05 16:00:39,567 EPOCH 79 done: loss 0.0315 - lr 0.050000
2023-04-05 16:00:39,567 BAD EPOCHS (no improvement): 1
2023-04-05 16:00:39,570 ----------------------------------------------------------------------------------------------------
2023-04-05 16:00:57,695 epoch 80 - iter 265/2650 - loss 0.02950655 - time (sec): 18.13 - samples/sec: 8089.41 - lr: 0.050000
2023-04-05 16:01:15,737 epoch 80 - iter 530/2650 - loss 0.02989593 - time (sec): 36.17 - samples/sec: 8070.04 - lr: 0.050000
2023-04-05 16:01:33,862 epoch 80 - iter 795/2650 - loss 0.02996041 - time (sec): 54.29 - samples/sec: 8103.12 - lr: 0.050000
2023-04-05 16:01:51,500 epoch 80 - iter 1060/2650 - loss 0.03072004 - time (sec): 71.93 - samples/sec: 8127.75 - lr: 0.050000
2023-04-05 16:02:09,453 epoch 80 - iter 1325/2650 - loss 0.03109382 - time (sec): 89.88 - samples/sec: 8140.36 - lr: 0.050000
2023-04-05 16:02:27,965 epoch 80 - iter 1590/2650 - loss 0.03101502 - time (sec): 108.40 - samples/sec: 8107.23 - lr: 0.050000
2023-04-05 16:02:45,623 epoch 80 - iter 1855/2650 - loss 0.03115635 - time (sec): 126.05 - samples/sec: 8117.33 - lr: 0.050000
2023-04-05 16:03:03,686 epoch 80 - iter 2120/2650 - loss 0.03113706 - time (sec): 144.12 - samples/sec: 8117.75 - lr: 0.050000
2023-04-05 16:03:21,897 epoch 80 - iter 2385/2650 - loss 0.03094054 - time (sec): 162.33 - samples/sec: 8110.00 - lr: 0.050000
2023-04-05 16:03:40,227 epoch 80 - iter 2650/2650 - loss 0.03116852 - time (sec): 180.66 - samples/sec: 8094.68 - lr: 0.050000
2023-04-05 16:03:40,227 ----------------------------------------------------------------------------------------------------
2023-04-05 16:03:40,228 EPOCH 80 done: loss 0.0312 - lr 0.050000
2023-04-05 16:03:40,228 BAD EPOCHS (no improvement): 2
2023-04-05 16:03:40,231 ----------------------------------------------------------------------------------------------------
2023-04-05 16:03:58,130 epoch 81 - iter 265/2650 - loss 0.03050701 - time (sec): 17.90 - samples/sec: 8098.05 - lr: 0.050000
2023-04-05 16:04:16,414 epoch 81 - iter 530/2650 - loss 0.03099144 - time (sec): 36.18 - samples/sec: 8096.00 - lr: 0.050000
2023-04-05 16:04:34,566 epoch 81 - iter 795/2650 - loss 0.03084154 - time (sec): 54.33 - samples/sec: 8076.94 - lr: 0.050000
2023-04-05 16:04:52,456 epoch 81 - iter 1060/2650 - loss 0.03073356 - time (sec): 72.23 - samples/sec: 8070.74 - lr: 0.050000
2023-04-05 16:05:10,431 epoch 81 - iter 1325/2650 - loss 0.03078831 - time (sec): 90.20 - samples/sec: 8083.26 - lr: 0.050000
2023-04-05 16:05:28,262 epoch 81 - iter 1590/2650 - loss 0.03081613 - time (sec): 108.03 - samples/sec: 8106.14 - lr: 0.050000
2023-04-05 16:05:46,986 epoch 81 - iter 1855/2650 - loss 0.03109769 - time (sec): 126.75 - samples/sec: 8067.07 - lr: 0.050000
2023-04-05 16:06:04,787 epoch 81 - iter 2120/2650 - loss 0.03100634 - time (sec): 144.56 - samples/sec: 8081.72 - lr: 0.050000
2023-04-05 16:06:22,670 epoch 81 - iter 2385/2650 - loss 0.03089991 - time (sec): 162.44 - samples/sec: 8096.42 - lr: 0.050000
2023-04-05 16:06:41,240 epoch 81 - iter 2650/2650 - loss 0.03091406 - time (sec): 181.01 - samples/sec: 8078.95 - lr: 0.050000
2023-04-05 16:06:41,240 ----------------------------------------------------------------------------------------------------
2023-04-05 16:06:41,240 EPOCH 81 done: loss 0.0309 - lr 0.050000
2023-04-05 16:06:41,241 BAD EPOCHS (no improvement): 0
2023-04-05 16:06:41,244 ----------------------------------------------------------------------------------------------------
2023-04-05 16:06:59,061 epoch 82 - iter 265/2650 - loss 0.03100058 - time (sec): 17.82 - samples/sec: 8127.65 - lr: 0.050000
2023-04-05 16:07:17,635 epoch 82 - iter 530/2650 - loss 0.03067576 - time (sec): 36.39 - samples/sec: 8037.33 - lr: 0.050000
2023-04-05 16:07:35,641 epoch 82 - iter 795/2650 - loss 0.03038061 - time (sec): 54.40 - samples/sec: 8073.86 - lr: 0.050000
2023-04-05 16:07:53,434 epoch 82 - iter 1060/2650 - loss 0.03018400 - time (sec): 72.19 - samples/sec: 8104.42 - lr: 0.050000
2023-04-05 16:08:11,687 epoch 82 - iter 1325/2650 - loss 0.03025144 - time (sec): 90.44 - samples/sec: 8101.04 - lr: 0.050000
2023-04-05 16:08:29,600 epoch 82 - iter 1590/2650 - loss 0.03050428 - time (sec): 108.36 - samples/sec: 8099.65 - lr: 0.050000
2023-04-05 16:08:47,189 epoch 82 - iter 1855/2650 - loss 0.03064468 - time (sec): 125.95 - samples/sec: 8119.68 - lr: 0.050000
2023-04-05 16:09:05,192 epoch 82 - iter 2120/2650 - loss 0.03077815 - time (sec): 143.95 - samples/sec: 8116.08 - lr: 0.050000
2023-04-05 16:09:23,817 epoch 82 - iter 2385/2650 - loss 0.03085177 - time (sec): 162.57 - samples/sec: 8094.99 - lr: 0.050000
2023-04-05 16:09:41,828 epoch 82 - iter 2650/2650 - loss 0.03072148 - time (sec): 180.58 - samples/sec: 8097.95 - lr: 0.050000
2023-04-05 16:09:41,829 ----------------------------------------------------------------------------------------------------
2023-04-05 16:09:41,829 EPOCH 82 done: loss 0.0307 - lr 0.050000
2023-04-05 16:09:41,829 BAD EPOCHS (no improvement): 0
2023-04-05 16:09:41,832 ----------------------------------------------------------------------------------------------------
2023-04-05 16:09:59,463 epoch 83 - iter 265/2650 - loss 0.03007558 - time (sec): 17.63 - samples/sec: 8219.74 - lr: 0.050000
2023-04-05 16:10:17,821 epoch 83 - iter 530/2650 - loss 0.03044376 - time (sec): 35.99 - samples/sec: 8140.63 - lr: 0.050000
2023-04-05 16:10:35,579 epoch 83 - iter 795/2650 - loss 0.03103522 - time (sec): 53.75 - samples/sec: 8180.82 - lr: 0.050000
2023-04-05 16:10:53,640 epoch 83 - iter 1060/2650 - loss 0.03125184 - time (sec): 71.81 - samples/sec: 8157.94 - lr: 0.050000
2023-04-05 16:11:11,401 epoch 83 - iter 1325/2650 - loss 0.03105806 - time (sec): 89.57 - samples/sec: 8152.43 - lr: 0.050000
2023-04-05 16:11:29,272 epoch 83 - iter 1590/2650 - loss 0.03107680 - time (sec): 107.44 - samples/sec: 8167.05 - lr: 0.050000
2023-04-05 16:11:47,670 epoch 83 - iter 1855/2650 - loss 0.03104069 - time (sec): 125.84 - samples/sec: 8151.68 - lr: 0.050000
2023-04-05 16:12:05,620 epoch 83 - iter 2120/2650 - loss 0.03129541 - time (sec): 143.79 - samples/sec: 8136.79 - lr: 0.050000
2023-04-05 16:12:24,158 epoch 83 - iter 2385/2650 - loss 0.03122815 - time (sec): 162.33 - samples/sec: 8107.14 - lr: 0.050000
2023-04-05 16:12:42,791 epoch 83 - iter 2650/2650 - loss 0.03111928 - time (sec): 180.96 - samples/sec: 8081.19 - lr: 0.050000
2023-04-05 16:12:42,791 ----------------------------------------------------------------------------------------------------
2023-04-05 16:12:42,791 EPOCH 83 done: loss 0.0311 - lr 0.050000
2023-04-05 16:12:42,791 BAD EPOCHS (no improvement): 1
2023-04-05 16:12:42,794 ----------------------------------------------------------------------------------------------------
2023-04-05 16:13:00,945 epoch 84 - iter 265/2650 - loss 0.03098471 - time (sec): 18.15 - samples/sec: 8020.19 - lr: 0.050000
2023-04-05 16:13:18,559 epoch 84 - iter 530/2650 - loss 0.03063539 - time (sec): 35.77 - samples/sec: 8179.91 - lr: 0.050000
2023-04-05 16:13:36,238 epoch 84 - iter 795/2650 - loss 0.03067449 - time (sec): 53.44 - samples/sec: 8154.95 - lr: 0.050000
2023-04-05 16:13:54,683 epoch 84 - iter 1060/2650 - loss 0.03100105 - time (sec): 71.89 - samples/sec: 8112.63 - lr: 0.050000
2023-04-05 16:14:12,667 epoch 84 - iter 1325/2650 - loss 0.03081692 - time (sec): 89.87 - samples/sec: 8121.75 - lr: 0.050000
2023-04-05 16:14:30,441 epoch 84 - iter 1590/2650 - loss 0.03067709 - time (sec): 107.65 - samples/sec: 8122.66 - lr: 0.050000
2023-04-05 16:14:48,354 epoch 84 - iter 1855/2650 - loss 0.03053990 - time (sec): 125.56 - samples/sec: 8127.30 - lr: 0.050000
2023-04-05 16:15:06,115 epoch 84 - iter 2120/2650 - loss 0.03060062 - time (sec): 143.32 - samples/sec: 8142.75 - lr: 0.050000
2023-04-05 16:15:24,699 epoch 84 - iter 2385/2650 - loss 0.03050306 - time (sec): 161.91 - samples/sec: 8118.83 - lr: 0.050000
2023-04-05 16:15:43,592 epoch 84 - iter 2650/2650 - loss 0.03067195 - time (sec): 180.80 - samples/sec: 8088.36 - lr: 0.050000
2023-04-05 16:15:43,593 ----------------------------------------------------------------------------------------------------
2023-04-05 16:15:43,593 EPOCH 84 done: loss 0.0307 - lr 0.050000
2023-04-05 16:15:43,593 BAD EPOCHS (no improvement): 0
2023-04-05 16:15:43,595 ----------------------------------------------------------------------------------------------------
2023-04-05 16:16:01,501 epoch 85 - iter 265/2650 - loss 0.02921295 - time (sec): 17.91 - samples/sec: 8124.98 - lr: 0.050000
2023-04-05 16:16:19,840 epoch 85 - iter 530/2650 - loss 0.02994135 - time (sec): 36.24 - samples/sec: 8072.19 - lr: 0.050000
2023-04-05 16:16:37,973 epoch 85 - iter 795/2650 - loss 0.02974127 - time (sec): 54.38 - samples/sec: 8047.48 - lr: 0.050000
2023-04-05 16:16:55,992 epoch 85 - iter 1060/2650 - loss 0.02989692 - time (sec): 72.40 - samples/sec: 8076.21 - lr: 0.050000
2023-04-05 16:17:13,728 epoch 85 - iter 1325/2650 - loss 0.02975561 - time (sec): 90.13 - samples/sec: 8100.20 - lr: 0.050000
2023-04-05 16:17:32,023 epoch 85 - iter 1590/2650 - loss 0.03032414 - time (sec): 108.43 - samples/sec: 8092.06 - lr: 0.050000
2023-04-05 16:17:50,156 epoch 85 - iter 1855/2650 - loss 0.03038329 - time (sec): 126.56 - samples/sec: 8093.43 - lr: 0.050000
2023-04-05 16:18:08,567 epoch 85 - iter 2120/2650 - loss 0.03061367 - time (sec): 144.97 - samples/sec: 8081.07 - lr: 0.050000
2023-04-05 16:18:26,274 epoch 85 - iter 2385/2650 - loss 0.03074929 - time (sec): 162.68 - samples/sec: 8089.12 - lr: 0.050000
2023-04-05 16:18:44,937 epoch 85 - iter 2650/2650 - loss 0.03096049 - time (sec): 181.34 - samples/sec: 8064.15 - lr: 0.050000
2023-04-05 16:18:44,937 ----------------------------------------------------------------------------------------------------
2023-04-05 16:18:44,937 EPOCH 85 done: loss 0.0310 - lr 0.050000
2023-04-05 16:18:44,937 BAD EPOCHS (no improvement): 1
2023-04-05 16:18:44,940 ----------------------------------------------------------------------------------------------------
2023-04-05 16:19:02,857 epoch 86 - iter 265/2650 - loss 0.03008857 - time (sec): 17.92 - samples/sec: 8089.51 - lr: 0.050000
2023-04-05 16:19:20,840 epoch 86 - iter 530/2650 - loss 0.03090977 - time (sec): 35.90 - samples/sec: 8116.72 - lr: 0.050000
2023-04-05 16:19:39,285 epoch 86 - iter 795/2650 - loss 0.03076073 - time (sec): 54.34 - samples/sec: 8064.40 - lr: 0.050000
2023-04-05 16:19:57,579 epoch 86 - iter 1060/2650 - loss 0.03087074 - time (sec): 72.64 - samples/sec: 8061.27 - lr: 0.050000
2023-04-05 16:20:15,769 epoch 86 - iter 1325/2650 - loss 0.03070933 - time (sec): 90.83 - samples/sec: 8057.78 - lr: 0.050000
2023-04-05 16:20:34,211 epoch 86 - iter 1590/2650 - loss 0.03043000 - time (sec): 109.27 - samples/sec: 8032.85 - lr: 0.050000
2023-04-05 16:20:52,733 epoch 86 - iter 1855/2650 - loss 0.03043706 - time (sec): 127.79 - samples/sec: 8020.06 - lr: 0.050000
2023-04-05 16:21:10,877 epoch 86 - iter 2120/2650 - loss 0.03016968 - time (sec): 145.94 - samples/sec: 8023.45 - lr: 0.050000
2023-04-05 16:21:29,029 epoch 86 - iter 2385/2650 - loss 0.03042293 - time (sec): 164.09 - samples/sec: 8024.32 - lr: 0.050000
2023-04-05 16:21:46,853 epoch 86 - iter 2650/2650 - loss 0.03059590 - time (sec): 181.91 - samples/sec: 8038.83 - lr: 0.050000
2023-04-05 16:21:46,853 ----------------------------------------------------------------------------------------------------
2023-04-05 16:21:46,853 EPOCH 86 done: loss 0.0306 - lr 0.050000
2023-04-05 16:21:46,853 BAD EPOCHS (no improvement): 0
2023-04-05 16:21:46,856 ----------------------------------------------------------------------------------------------------
2023-04-05 16:22:05,585 epoch 87 - iter 265/2650 - loss 0.03021581 - time (sec): 18.73 - samples/sec: 7939.10 - lr: 0.050000
2023-04-05 16:22:23,907 epoch 87 - iter 530/2650 - loss 0.03088997 - time (sec): 37.05 - samples/sec: 7992.83 - lr: 0.050000
2023-04-05 16:22:42,164 epoch 87 - iter 795/2650 - loss 0.03023432 - time (sec): 55.31 - samples/sec: 7963.03 - lr: 0.050000
2023-04-05 16:23:00,173 epoch 87 - iter 1060/2650 - loss 0.02989709 - time (sec): 73.32 - samples/sec: 8009.40 - lr: 0.050000
2023-04-05 16:23:17,884 epoch 87 - iter 1325/2650 - loss 0.02975284 - time (sec): 91.03 - samples/sec: 8033.66 - lr: 0.050000
2023-04-05 16:23:36,263 epoch 87 - iter 1590/2650 - loss 0.02987707 - time (sec): 109.41 - samples/sec: 8023.02 - lr: 0.050000
2023-04-05 16:23:54,085 epoch 87 - iter 1855/2650 - loss 0.03018207 - time (sec): 127.23 - samples/sec: 8039.17 - lr: 0.050000
2023-04-05 16:24:12,728 epoch 87 - iter 2120/2650 - loss 0.03023263 - time (sec): 145.87 - samples/sec: 8023.16 - lr: 0.050000
2023-04-05 16:24:30,895 epoch 87 - iter 2385/2650 - loss 0.03032780 - time (sec): 164.04 - samples/sec: 8026.13 - lr: 0.050000
2023-04-05 16:24:49,001 epoch 87 - iter 2650/2650 - loss 0.03046973 - time (sec): 182.14 - samples/sec: 8028.57 - lr: 0.050000
2023-04-05 16:24:49,001 ----------------------------------------------------------------------------------------------------
2023-04-05 16:24:49,001 EPOCH 87 done: loss 0.0305 - lr 0.050000
2023-04-05 16:24:49,001 BAD EPOCHS (no improvement): 0
2023-04-05 16:24:49,004 ----------------------------------------------------------------------------------------------------
2023-04-05 16:25:07,296 epoch 88 - iter 265/2650 - loss 0.03044841 - time (sec): 18.29 - samples/sec: 8045.33 - lr: 0.050000
2023-04-05 16:25:25,938 epoch 88 - iter 530/2650 - loss 0.03076234 - time (sec): 36.93 - samples/sec: 7994.61 - lr: 0.050000
2023-04-05 16:25:43,800 epoch 88 - iter 795/2650 - loss 0.02995183 - time (sec): 54.80 - samples/sec: 8038.70 - lr: 0.050000
2023-04-05 16:26:01,710 epoch 88 - iter 1060/2650 - loss 0.03027499 - time (sec): 72.71 - samples/sec: 8066.43 - lr: 0.050000
2023-04-05 16:26:19,350 epoch 88 - iter 1325/2650 - loss 0.03013454 - time (sec): 90.35 - samples/sec: 8095.04 - lr: 0.050000
2023-04-05 16:26:37,303 epoch 88 - iter 1590/2650 - loss 0.03008684 - time (sec): 108.30 - samples/sec: 8080.16 - lr: 0.050000
2023-04-05 16:26:55,627 epoch 88 - iter 1855/2650 - loss 0.02999024 - time (sec): 126.62 - samples/sec: 8065.00 - lr: 0.050000
2023-04-05 16:27:13,947 epoch 88 - iter 2120/2650 - loss 0.03036241 - time (sec): 144.94 - samples/sec: 8066.63 - lr: 0.050000
2023-04-05 16:27:32,068 epoch 88 - iter 2385/2650 - loss 0.03046138 - time (sec): 163.06 - samples/sec: 8069.14 - lr: 0.050000
2023-04-05 16:27:50,594 epoch 88 - iter 2650/2650 - loss 0.03041590 - time (sec): 181.59 - samples/sec: 8053.10 - lr: 0.050000
2023-04-05 16:27:50,594 ----------------------------------------------------------------------------------------------------
2023-04-05 16:27:50,594 EPOCH 88 done: loss 0.0304 - lr 0.050000
2023-04-05 16:27:50,594 BAD EPOCHS (no improvement): 0
2023-04-05 16:27:50,597 ----------------------------------------------------------------------------------------------------
2023-04-05 16:28:08,653 epoch 89 - iter 265/2650 - loss 0.03011771 - time (sec): 18.06 - samples/sec: 8023.00 - lr: 0.050000
2023-04-05 16:28:26,717 epoch 89 - iter 530/2650 - loss 0.03039898 - time (sec): 36.12 - samples/sec: 8093.71 - lr: 0.050000
2023-04-05 16:28:45,518 epoch 89 - iter 795/2650 - loss 0.03040671 - time (sec): 54.92 - samples/sec: 7984.38 - lr: 0.050000
2023-04-05 16:29:04,469 epoch 89 - iter 1060/2650 - loss 0.03037468 - time (sec): 73.87 - samples/sec: 7958.95 - lr: 0.050000
2023-04-05 16:29:22,026 epoch 89 - iter 1325/2650 - loss 0.03021385 - time (sec): 91.43 - samples/sec: 8032.50 - lr: 0.050000
2023-04-05 16:29:39,600 epoch 89 - iter 1590/2650 - loss 0.03021893 - time (sec): 109.00 - samples/sec: 8061.57 - lr: 0.050000
2023-04-05 16:29:57,913 epoch 89 - iter 1855/2650 - loss 0.03034696 - time (sec): 127.32 - samples/sec: 8051.94 - lr: 0.050000
2023-04-05 16:30:16,183 epoch 89 - iter 2120/2650 - loss 0.03037544 - time (sec): 145.59 - samples/sec: 8046.92 - lr: 0.050000
2023-04-05 16:30:34,417 epoch 89 - iter 2385/2650 - loss 0.03025423 - time (sec): 163.82 - samples/sec: 8038.08 - lr: 0.050000
2023-04-05 16:30:52,372 epoch 89 - iter 2650/2650 - loss 0.03028481 - time (sec): 181.78 - samples/sec: 8044.90 - lr: 0.050000
2023-04-05 16:30:52,373 ----------------------------------------------------------------------------------------------------
2023-04-05 16:30:52,373 EPOCH 89 done: loss 0.0303 - lr 0.050000
2023-04-05 16:30:52,373 BAD EPOCHS (no improvement): 0
2023-04-05 16:30:52,376 ----------------------------------------------------------------------------------------------------
2023-04-05 16:31:10,560 epoch 90 - iter 265/2650 - loss 0.02991978 - time (sec): 18.18 - samples/sec: 8061.70 - lr: 0.050000
2023-04-05 16:31:28,781 epoch 90 - iter 530/2650 - loss 0.02984146 - time (sec): 36.41 - samples/sec: 8095.14 - lr: 0.050000
2023-04-05 16:31:46,518 epoch 90 - iter 795/2650 - loss 0.02961434 - time (sec): 54.14 - samples/sec: 8125.00 - lr: 0.050000
2023-04-05 16:32:04,992 epoch 90 - iter 1060/2650 - loss 0.02989024 - time (sec): 72.62 - samples/sec: 8079.68 - lr: 0.050000
2023-04-05 16:32:32,914 epoch 90 - iter 1325/2650 - loss 0.02968093 - time (sec): 100.54 - samples/sec: 7281.89 - lr: 0.050000
2023-04-05 16:32:51,315 epoch 90 - iter 1590/2650 - loss 0.02980051 - time (sec): 118.94 - samples/sec: 7378.41 - lr: 0.050000
2023-04-05 16:33:09,532 epoch 90 - iter 1855/2650 - loss 0.02991638 - time (sec): 137.16 - samples/sec: 7466.90 - lr: 0.050000
2023-04-05 16:33:27,502 epoch 90 - iter 2120/2650 - loss 0.02991097 - time (sec): 155.13 - samples/sec: 7552.23 - lr: 0.050000
2023-04-05 16:33:45,657 epoch 90 - iter 2385/2650 - loss 0.02989985 - time (sec): 173.28 - samples/sec: 7604.17 - lr: 0.050000
2023-04-05 16:34:03,358 epoch 90 - iter 2650/2650 - loss 0.03001918 - time (sec): 190.98 - samples/sec: 7657.06 - lr: 0.050000
2023-04-05 16:34:03,359 ----------------------------------------------------------------------------------------------------
2023-04-05 16:34:03,359 EPOCH 90 done: loss 0.0300 - lr 0.050000
2023-04-05 16:34:03,359 BAD EPOCHS (no improvement): 0
2023-04-05 16:34:03,362 ----------------------------------------------------------------------------------------------------
2023-04-05 16:34:21,520 epoch 91 - iter 265/2650 - loss 0.02881073 - time (sec): 18.16 - samples/sec: 7962.20 - lr: 0.050000
2023-04-05 16:34:39,620 epoch 91 - iter 530/2650 - loss 0.02847586 - time (sec): 36.26 - samples/sec: 8003.81 - lr: 0.050000
2023-04-05 16:34:57,714 epoch 91 - iter 795/2650 - loss 0.02862172 - time (sec): 54.35 - samples/sec: 8063.19 - lr: 0.050000
2023-04-05 16:35:16,027 epoch 91 - iter 1060/2650 - loss 0.02918594 - time (sec): 72.67 - samples/sec: 8041.02 - lr: 0.050000
2023-04-05 16:35:34,298 epoch 91 - iter 1325/2650 - loss 0.02972446 - time (sec): 90.94 - samples/sec: 8046.55 - lr: 0.050000
2023-04-05 16:35:52,429 epoch 91 - iter 1590/2650 - loss 0.02982420 - time (sec): 109.07 - samples/sec: 8047.33 - lr: 0.050000
2023-04-05 16:36:10,726 epoch 91 - iter 1855/2650 - loss 0.02983972 - time (sec): 127.36 - samples/sec: 8045.16 - lr: 0.050000
2023-04-05 16:36:28,755 epoch 91 - iter 2120/2650 - loss 0.02995110 - time (sec): 145.39 - samples/sec: 8054.55 - lr: 0.050000
2023-04-05 16:36:47,129 epoch 91 - iter 2385/2650 - loss 0.02980799 - time (sec): 163.77 - samples/sec: 8044.99 - lr: 0.050000
2023-04-05 16:37:05,059 epoch 91 - iter 2650/2650 - loss 0.02989641 - time (sec): 181.70 - samples/sec: 8048.36 - lr: 0.050000
2023-04-05 16:37:05,059 ----------------------------------------------------------------------------------------------------
2023-04-05 16:37:05,059 EPOCH 91 done: loss 0.0299 - lr 0.050000
2023-04-05 16:37:05,059 BAD EPOCHS (no improvement): 0
2023-04-05 16:37:05,062 ----------------------------------------------------------------------------------------------------
2023-04-05 16:37:23,748 epoch 92 - iter 265/2650 - loss 0.03033049 - time (sec): 18.69 - samples/sec: 7939.02 - lr: 0.050000
2023-04-05 16:37:41,714 epoch 92 - iter 530/2650 - loss 0.03040671 - time (sec): 36.65 - samples/sec: 8001.88 - lr: 0.050000
2023-04-05 16:37:59,570 epoch 92 - iter 795/2650 - loss 0.03021733 - time (sec): 54.51 - samples/sec: 8054.26 - lr: 0.050000
2023-04-05 16:38:17,859 epoch 92 - iter 1060/2650 - loss 0.03026141 - time (sec): 72.80 - samples/sec: 8048.30 - lr: 0.050000
2023-04-05 16:38:36,487 epoch 92 - iter 1325/2650 - loss 0.03019434 - time (sec): 91.42 - samples/sec: 8018.19 - lr: 0.050000
2023-04-05 16:38:54,144 epoch 92 - iter 1590/2650 - loss 0.03001710 - time (sec): 109.08 - samples/sec: 8049.78 - lr: 0.050000
2023-04-05 16:39:12,618 epoch 92 - iter 1855/2650 - loss 0.02993196 - time (sec): 127.56 - samples/sec: 8036.82 - lr: 0.050000
2023-04-05 16:39:30,360 epoch 92 - iter 2120/2650 - loss 0.02977772 - time (sec): 145.30 - samples/sec: 8048.77 - lr: 0.050000
2023-04-05 16:39:48,456 epoch 92 - iter 2385/2650 - loss 0.02998377 - time (sec): 163.39 - samples/sec: 8054.63 - lr: 0.050000
2023-04-05 16:40:06,587 epoch 92 - iter 2650/2650 - loss 0.02985869 - time (sec): 181.52 - samples/sec: 8055.99 - lr: 0.050000
2023-04-05 16:40:06,587 ----------------------------------------------------------------------------------------------------
2023-04-05 16:40:06,587 EPOCH 92 done: loss 0.0299 - lr 0.050000
2023-04-05 16:40:06,587 BAD EPOCHS (no improvement): 0
2023-04-05 16:40:06,590 ----------------------------------------------------------------------------------------------------
2023-04-05 16:40:24,574 epoch 93 - iter 265/2650 - loss 0.02827410 - time (sec): 17.98 - samples/sec: 8109.86 - lr: 0.050000
2023-04-05 16:40:42,808 epoch 93 - iter 530/2650 - loss 0.02855756 - time (sec): 36.22 - samples/sec: 8050.76 - lr: 0.050000
2023-04-05 16:41:01,491 epoch 93 - iter 795/2650 - loss 0.02918833 - time (sec): 54.90 - samples/sec: 8016.44 - lr: 0.050000
2023-04-05 16:41:19,699 epoch 93 - iter 1060/2650 - loss 0.02917837 - time (sec): 73.11 - samples/sec: 8019.22 - lr: 0.050000
2023-04-05 16:41:38,081 epoch 93 - iter 1325/2650 - loss 0.02932871 - time (sec): 91.49 - samples/sec: 8017.09 - lr: 0.050000
2023-04-05 16:41:56,384 epoch 93 - iter 1590/2650 - loss 0.02943757 - time (sec): 109.79 - samples/sec: 8015.64 - lr: 0.050000
2023-04-05 16:42:14,583 epoch 93 - iter 1855/2650 - loss 0.02945684 - time (sec): 127.99 - samples/sec: 8011.31 - lr: 0.050000
2023-04-05 16:42:32,476 epoch 93 - iter 2120/2650 - loss 0.02964349 - time (sec): 145.89 - samples/sec: 8022.56 - lr: 0.050000
2023-04-05 16:42:50,352 epoch 93 - iter 2385/2650 - loss 0.02964837 - time (sec): 163.76 - samples/sec: 8028.49 - lr: 0.050000
2023-04-05 16:43:08,992 epoch 93 - iter 2650/2650 - loss 0.02982741 - time (sec): 182.40 - samples/sec: 8017.27 - lr: 0.050000
2023-04-05 16:43:08,992 ----------------------------------------------------------------------------------------------------
2023-04-05 16:43:08,992 EPOCH 93 done: loss 0.0298 - lr 0.050000
2023-04-05 16:43:08,992 BAD EPOCHS (no improvement): 0
2023-04-05 16:43:08,995 ----------------------------------------------------------------------------------------------------
2023-04-05 16:43:26,676 epoch 94 - iter 265/2650 - loss 0.02866443 - time (sec): 17.68 - samples/sec: 8167.63 - lr: 0.050000
2023-04-05 16:43:46,537 epoch 94 - iter 530/2650 - loss 0.02948036 - time (sec): 37.54 - samples/sec: 7866.72 - lr: 0.050000
2023-04-05 16:44:04,148 epoch 94 - iter 795/2650 - loss 0.02922681 - time (sec): 55.15 - samples/sec: 8019.93 - lr: 0.050000
2023-04-05 16:44:22,579 epoch 94 - iter 1060/2650 - loss 0.02936435 - time (sec): 73.58 - samples/sec: 8013.79 - lr: 0.050000
2023-04-05 16:44:40,548 epoch 94 - iter 1325/2650 - loss 0.02959460 - time (sec): 91.55 - samples/sec: 8038.43 - lr: 0.050000
2023-04-05 16:44:58,890 epoch 94 - iter 1590/2650 - loss 0.02977258 - time (sec): 109.90 - samples/sec: 8024.03 - lr: 0.050000
2023-04-05 16:45:16,669 epoch 94 - iter 1855/2650 - loss 0.02969671 - time (sec): 127.67 - samples/sec: 8045.72 - lr: 0.050000
2023-04-05 16:45:34,761 epoch 94 - iter 2120/2650 - loss 0.02990761 - time (sec): 145.77 - samples/sec: 8046.57 - lr: 0.050000
2023-04-05 16:45:52,172 epoch 94 - iter 2385/2650 - loss 0.02996676 - time (sec): 163.18 - samples/sec: 8076.70 - lr: 0.050000
2023-04-05 16:46:09,904 epoch 94 - iter 2650/2650 - loss 0.02981403 - time (sec): 180.91 - samples/sec: 8083.42 - lr: 0.050000
2023-04-05 16:46:09,904 ----------------------------------------------------------------------------------------------------
2023-04-05 16:46:09,904 EPOCH 94 done: loss 0.0298 - lr 0.050000
2023-04-05 16:46:09,904 BAD EPOCHS (no improvement): 0
2023-04-05 16:46:09,907 ----------------------------------------------------------------------------------------------------
2023-04-05 16:46:28,147 epoch 95 - iter 265/2650 - loss 0.02895740 - time (sec): 18.24 - samples/sec: 8059.25 - lr: 0.050000
2023-04-05 16:46:46,766 epoch 95 - iter 530/2650 - loss 0.02886901 - time (sec): 36.86 - samples/sec: 7973.48 - lr: 0.050000
2023-04-05 16:47:04,525 epoch 95 - iter 795/2650 - loss 0.02892029 - time (sec): 54.62 - samples/sec: 8064.12 - lr: 0.050000
2023-04-05 16:47:22,679 epoch 95 - iter 1060/2650 - loss 0.02926013 - time (sec): 72.77 - samples/sec: 8058.89 - lr: 0.050000
2023-04-05 16:47:41,056 epoch 95 - iter 1325/2650 - loss 0.02928027 - time (sec): 91.15 - samples/sec: 8039.45 - lr: 0.050000
2023-04-05 16:47:59,123 epoch 95 - iter 1590/2650 - loss 0.02930187 - time (sec): 109.22 - samples/sec: 8050.74 - lr: 0.050000
2023-04-05 16:48:17,553 epoch 95 - iter 1855/2650 - loss 0.02942059 - time (sec): 127.65 - samples/sec: 8031.58 - lr: 0.050000
2023-04-05 16:48:35,340 epoch 95 - iter 2120/2650 - loss 0.02952642 - time (sec): 145.43 - samples/sec: 8058.00 - lr: 0.050000
2023-04-05 16:48:53,350 epoch 95 - iter 2385/2650 - loss 0.02966751 - time (sec): 163.44 - samples/sec: 8059.43 - lr: 0.050000
2023-04-05 16:49:11,731 epoch 95 - iter 2650/2650 - loss 0.02968892 - time (sec): 181.82 - samples/sec: 8042.73 - lr: 0.050000
2023-04-05 16:49:11,732 ----------------------------------------------------------------------------------------------------
2023-04-05 16:49:11,732 EPOCH 95 done: loss 0.0297 - lr 0.050000
2023-04-05 16:49:11,732 BAD EPOCHS (no improvement): 0
2023-04-05 16:49:11,734 ----------------------------------------------------------------------------------------------------
2023-04-05 16:49:29,915 epoch 96 - iter 265/2650 - loss 0.03009647 - time (sec): 18.18 - samples/sec: 8049.69 - lr: 0.050000
2023-04-05 16:49:48,531 epoch 96 - iter 530/2650 - loss 0.02956403 - time (sec): 36.80 - samples/sec: 7995.24 - lr: 0.050000
2023-04-05 16:50:06,476 epoch 96 - iter 795/2650 - loss 0.03003335 - time (sec): 54.74 - samples/sec: 8034.75 - lr: 0.050000
2023-04-05 16:50:24,166 epoch 96 - iter 1060/2650 - loss 0.02921479 - time (sec): 72.43 - samples/sec: 8063.32 - lr: 0.050000
2023-04-05 16:50:42,596 epoch 96 - iter 1325/2650 - loss 0.02963404 - time (sec): 90.86 - samples/sec: 8053.04 - lr: 0.050000
2023-04-05 16:51:01,017 epoch 96 - iter 1590/2650 - loss 0.02951184 - time (sec): 109.28 - samples/sec: 8038.85 - lr: 0.050000
2023-04-05 16:51:19,304 epoch 96 - iter 1855/2650 - loss 0.02954697 - time (sec): 127.57 - samples/sec: 8033.10 - lr: 0.050000
2023-04-05 16:51:36,705 epoch 96 - iter 2120/2650 - loss 0.02964479 - time (sec): 144.97 - samples/sec: 8069.11 - lr: 0.050000
2023-04-05 16:51:54,493 epoch 96 - iter 2385/2650 - loss 0.02951076 - time (sec): 162.76 - samples/sec: 8089.96 - lr: 0.050000
2023-04-05 16:52:12,436 epoch 96 - iter 2650/2650 - loss 0.02957345 - time (sec): 180.70 - samples/sec: 8092.68 - lr: 0.050000
2023-04-05 16:52:12,437 ----------------------------------------------------------------------------------------------------
2023-04-05 16:52:12,437 EPOCH 96 done: loss 0.0296 - lr 0.050000
2023-04-05 16:52:12,437 BAD EPOCHS (no improvement): 0
2023-04-05 16:52:12,443 ----------------------------------------------------------------------------------------------------
2023-04-05 16:52:30,854 epoch 97 - iter 265/2650 - loss 0.02918383 - time (sec): 18.41 - samples/sec: 7948.55 - lr: 0.050000
2023-04-05 16:52:48,435 epoch 97 - iter 530/2650 - loss 0.03102801 - time (sec): 35.99 - samples/sec: 8094.63 - lr: 0.050000
2023-04-05 16:53:06,288 epoch 97 - iter 795/2650 - loss 0.03124657 - time (sec): 53.84 - samples/sec: 8139.20 - lr: 0.050000
2023-04-05 16:53:24,343 epoch 97 - iter 1060/2650 - loss 0.03052383 - time (sec): 71.90 - samples/sec: 8126.81 - lr: 0.050000
2023-04-05 16:53:42,424 epoch 97 - iter 1325/2650 - loss 0.03026245 - time (sec): 89.98 - samples/sec: 8104.86 - lr: 0.050000
2023-04-05 16:54:00,806 epoch 97 - iter 1590/2650 - loss 0.02996778 - time (sec): 108.36 - samples/sec: 8083.87 - lr: 0.050000
2023-04-05 16:54:18,390 epoch 97 - iter 1855/2650 - loss 0.02986189 - time (sec): 125.95 - samples/sec: 8104.83 - lr: 0.050000
2023-04-05 16:54:37,305 epoch 97 - iter 2120/2650 - loss 0.02969668 - time (sec): 144.86 - samples/sec: 8060.78 - lr: 0.050000
2023-04-05 16:54:55,300 epoch 97 - iter 2385/2650 - loss 0.02970671 - time (sec): 162.86 - samples/sec: 8074.56 - lr: 0.050000
2023-04-05 16:55:13,324 epoch 97 - iter 2650/2650 - loss 0.02952680 - time (sec): 180.88 - samples/sec: 8084.66 - lr: 0.050000
2023-04-05 16:55:13,325 ----------------------------------------------------------------------------------------------------
2023-04-05 16:55:13,325 EPOCH 97 done: loss 0.0295 - lr 0.050000
2023-04-05 16:55:13,325 BAD EPOCHS (no improvement): 0
2023-04-05 16:55:13,328 ----------------------------------------------------------------------------------------------------
2023-04-05 16:55:31,075 epoch 98 - iter 265/2650 - loss 0.02847034 - time (sec): 17.75 - samples/sec: 8254.94 - lr: 0.050000
2023-04-05 16:55:49,547 epoch 98 - iter 530/2650 - loss 0.02884925 - time (sec): 36.22 - samples/sec: 8098.88 - lr: 0.050000
2023-04-05 16:56:07,629 epoch 98 - iter 795/2650 - loss 0.02899023 - time (sec): 54.30 - samples/sec: 8087.80 - lr: 0.050000
2023-04-05 16:56:25,658 epoch 98 - iter 1060/2650 - loss 0.02907776 - time (sec): 72.33 - samples/sec: 8082.69 - lr: 0.050000
2023-04-05 16:56:43,974 epoch 98 - iter 1325/2650 - loss 0.02932887 - time (sec): 90.65 - samples/sec: 8071.21 - lr: 0.050000
2023-04-05 16:57:02,287 epoch 98 - iter 1590/2650 - loss 0.02965113 - time (sec): 108.96 - samples/sec: 8053.60 - lr: 0.050000
2023-04-05 16:57:20,427 epoch 98 - iter 1855/2650 - loss 0.02943823 - time (sec): 127.10 - samples/sec: 8058.22 - lr: 0.050000
2023-04-05 16:57:38,095 epoch 98 - iter 2120/2650 - loss 0.02947932 - time (sec): 144.77 - samples/sec: 8076.23 - lr: 0.050000
2023-04-05 16:57:56,128 epoch 98 - iter 2385/2650 - loss 0.02939530 - time (sec): 162.80 - samples/sec: 8089.82 - lr: 0.050000
2023-04-05 16:58:13,740 epoch 98 - iter 2650/2650 - loss 0.02944466 - time (sec): 180.41 - samples/sec: 8105.67 - lr: 0.050000
2023-04-05 16:58:13,740 ----------------------------------------------------------------------------------------------------
2023-04-05 16:58:13,741 EPOCH 98 done: loss 0.0294 - lr 0.050000
2023-04-05 16:58:13,741 BAD EPOCHS (no improvement): 0
2023-04-05 16:58:13,744 ----------------------------------------------------------------------------------------------------
2023-04-05 16:58:32,721 epoch 99 - iter 265/2650 - loss 0.02877541 - time (sec): 18.98 - samples/sec: 7841.34 - lr: 0.050000
2023-04-05 16:58:50,985 epoch 99 - iter 530/2650 - loss 0.02948008 - time (sec): 37.24 - samples/sec: 7923.51 - lr: 0.050000
2023-04-05 16:59:08,333 epoch 99 - iter 795/2650 - loss 0.02911033 - time (sec): 54.59 - samples/sec: 8044.60 - lr: 0.050000
2023-04-05 16:59:26,819 epoch 99 - iter 1060/2650 - loss 0.02905510 - time (sec): 73.07 - samples/sec: 8021.48 - lr: 0.050000
2023-04-05 16:59:44,881 epoch 99 - iter 1325/2650 - loss 0.02924257 - time (sec): 91.14 - samples/sec: 8034.10 - lr: 0.050000
2023-04-05 17:00:02,943 epoch 99 - iter 1590/2650 - loss 0.02948078 - time (sec): 109.20 - samples/sec: 8045.71 - lr: 0.050000
2023-04-05 17:00:20,447 epoch 99 - iter 1855/2650 - loss 0.02942945 - time (sec): 126.70 - samples/sec: 8071.34 - lr: 0.050000
2023-04-05 17:00:38,876 epoch 99 - iter 2120/2650 - loss 0.02963024 - time (sec): 145.13 - samples/sec: 8060.66 - lr: 0.050000
2023-04-05 17:00:56,692 epoch 99 - iter 2385/2650 - loss 0.02963172 - time (sec): 162.95 - samples/sec: 8080.89 - lr: 0.050000
2023-04-05 17:01:14,375 epoch 99 - iter 2650/2650 - loss 0.02964568 - time (sec): 180.63 - samples/sec: 8095.87 - lr: 0.050000
2023-04-05 17:01:14,375 ----------------------------------------------------------------------------------------------------
2023-04-05 17:01:14,375 EPOCH 99 done: loss 0.0296 - lr 0.050000
2023-04-05 17:01:14,375 BAD EPOCHS (no improvement): 1
2023-04-05 17:01:14,380 ----------------------------------------------------------------------------------------------------
2023-04-05 17:01:32,311 epoch 100 - iter 265/2650 - loss 0.02806300 - time (sec): 17.93 - samples/sec: 8182.21 - lr: 0.050000
2023-04-05 17:01:50,229 epoch 100 - iter 530/2650 - loss 0.02840293 - time (sec): 35.85 - samples/sec: 8137.97 - lr: 0.050000
2023-04-05 17:02:07,598 epoch 100 - iter 795/2650 - loss 0.02908684 - time (sec): 53.22 - samples/sec: 8184.05 - lr: 0.050000
2023-04-05 17:02:26,045 epoch 100 - iter 1060/2650 - loss 0.02915101 - time (sec): 71.67 - samples/sec: 8163.15 - lr: 0.050000
2023-04-05 17:02:44,640 epoch 100 - iter 1325/2650 - loss 0.02927592 - time (sec): 90.26 - samples/sec: 8086.97 - lr: 0.050000
2023-04-05 17:03:02,661 epoch 100 - iter 1590/2650 - loss 0.02929555 - time (sec): 108.28 - samples/sec: 8079.65 - lr: 0.050000
2023-04-05 17:03:20,726 epoch 100 - iter 1855/2650 - loss 0.02930320 - time (sec): 126.35 - samples/sec: 8086.82 - lr: 0.050000
2023-04-05 17:03:38,502 epoch 100 - iter 2120/2650 - loss 0.02920282 - time (sec): 144.12 - samples/sec: 8107.50 - lr: 0.050000
2023-04-05 17:03:56,780 epoch 100 - iter 2385/2650 - loss 0.02936988 - time (sec): 162.40 - samples/sec: 8106.99 - lr: 0.050000
2023-04-05 17:04:14,878 epoch 100 - iter 2650/2650 - loss 0.02943625 - time (sec): 180.50 - samples/sec: 8101.81 - lr: 0.050000
2023-04-05 17:04:14,878 ----------------------------------------------------------------------------------------------------
2023-04-05 17:04:14,878 EPOCH 100 done: loss 0.0294 - lr 0.050000
2023-04-05 17:04:14,878 BAD EPOCHS (no improvement): 0
2023-04-05 17:04:14,881 ----------------------------------------------------------------------------------------------------
2023-04-05 17:04:32,958 epoch 101 - iter 265/2650 - loss 0.02856568 - time (sec): 18.08 - samples/sec: 8104.10 - lr: 0.050000
2023-04-05 17:04:50,935 epoch 101 - iter 530/2650 - loss 0.02857157 - time (sec): 36.05 - samples/sec: 8153.58 - lr: 0.050000
2023-04-05 17:05:08,959 epoch 101 - iter 795/2650 - loss 0.02821683 - time (sec): 54.08 - samples/sec: 8155.51 - lr: 0.050000
2023-04-05 17:05:27,317 epoch 101 - iter 1060/2650 - loss 0.02834932 - time (sec): 72.44 - samples/sec: 8116.06 - lr: 0.050000
2023-04-05 17:05:45,283 epoch 101 - iter 1325/2650 - loss 0.02880835 - time (sec): 90.40 - samples/sec: 8134.83 - lr: 0.050000
2023-04-05 17:06:03,451 epoch 101 - iter 1590/2650 - loss 0.02890159 - time (sec): 108.57 - samples/sec: 8111.15 - lr: 0.050000
2023-04-05 17:06:21,708 epoch 101 - iter 1855/2650 - loss 0.02911856 - time (sec): 126.83 - samples/sec: 8084.83 - lr: 0.050000
2023-04-05 17:06:39,269 epoch 101 - iter 2120/2650 - loss 0.02908659 - time (sec): 144.39 - samples/sec: 8101.30 - lr: 0.050000
2023-04-05 17:06:57,657 epoch 101 - iter 2385/2650 - loss 0.02917721 - time (sec): 162.78 - samples/sec: 8089.55 - lr: 0.050000
2023-04-05 17:07:15,469 epoch 101 - iter 2650/2650 - loss 0.02910207 - time (sec): 180.59 - samples/sec: 8097.82 - lr: 0.050000
2023-04-05 17:07:15,469 ----------------------------------------------------------------------------------------------------
2023-04-05 17:07:15,469 EPOCH 101 done: loss 0.0291 - lr 0.050000
2023-04-05 17:07:15,469 BAD EPOCHS (no improvement): 0
2023-04-05 17:07:15,471 ----------------------------------------------------------------------------------------------------
2023-04-05 17:07:33,470 epoch 102 - iter 265/2650 - loss 0.02966051 - time (sec): 18.00 - samples/sec: 8160.56 - lr: 0.050000
2023-04-05 17:07:51,711 epoch 102 - iter 530/2650 - loss 0.02912085 - time (sec): 36.24 - samples/sec: 8110.99 - lr: 0.050000
2023-04-05 17:08:09,539 epoch 102 - iter 795/2650 - loss 0.02928129 - time (sec): 54.07 - samples/sec: 8130.63 - lr: 0.050000
2023-04-05 17:08:27,188 epoch 102 - iter 1060/2650 - loss 0.02900651 - time (sec): 71.72 - samples/sec: 8163.84 - lr: 0.050000
2023-04-05 17:08:44,877 epoch 102 - iter 1325/2650 - loss 0.02897097 - time (sec): 89.41 - samples/sec: 8168.80 - lr: 0.050000
2023-04-05 17:09:02,957 epoch 102 - iter 1590/2650 - loss 0.02919493 - time (sec): 107.49 - samples/sec: 8164.94 - lr: 0.050000
2023-04-05 17:09:21,473 epoch 102 - iter 1855/2650 - loss 0.02920688 - time (sec): 126.00 - samples/sec: 8128.33 - lr: 0.050000
2023-04-05 17:09:39,513 epoch 102 - iter 2120/2650 - loss 0.02927457 - time (sec): 144.04 - samples/sec: 8120.58 - lr: 0.050000
2023-04-05 17:09:57,986 epoch 102 - iter 2385/2650 - loss 0.02924242 - time (sec): 162.51 - samples/sec: 8097.99 - lr: 0.050000
2023-04-05 17:10:16,196 epoch 102 - iter 2650/2650 - loss 0.02926345 - time (sec): 180.72 - samples/sec: 8091.68 - lr: 0.050000
2023-04-05 17:10:16,196 ----------------------------------------------------------------------------------------------------
2023-04-05 17:10:16,196 EPOCH 102 done: loss 0.0293 - lr 0.050000
2023-04-05 17:10:16,196 BAD EPOCHS (no improvement): 1
2023-04-05 17:10:16,198 ----------------------------------------------------------------------------------------------------
2023-04-05 17:10:34,431 epoch 103 - iter 265/2650 - loss 0.02986082 - time (sec): 18.23 - samples/sec: 8053.92 - lr: 0.050000
2023-04-05 17:10:52,721 epoch 103 - iter 530/2650 - loss 0.02833752 - time (sec): 36.52 - samples/sec: 8004.48 - lr: 0.050000
2023-04-05 17:11:11,286 epoch 103 - iter 795/2650 - loss 0.02840340 - time (sec): 55.09 - samples/sec: 8006.30 - lr: 0.050000
2023-04-05 17:11:30,013 epoch 103 - iter 1060/2650 - loss 0.02874919 - time (sec): 73.81 - samples/sec: 7984.64 - lr: 0.050000
2023-04-05 17:11:48,075 epoch 103 - iter 1325/2650 - loss 0.02904599 - time (sec): 91.88 - samples/sec: 8006.33 - lr: 0.050000
2023-04-05 17:12:05,630 epoch 103 - iter 1590/2650 - loss 0.02924025 - time (sec): 109.43 - samples/sec: 8047.91 - lr: 0.050000
2023-04-05 17:12:23,220 epoch 103 - iter 1855/2650 - loss 0.02913116 - time (sec): 127.02 - samples/sec: 8073.43 - lr: 0.050000
2023-04-05 17:12:40,558 epoch 103 - iter 2120/2650 - loss 0.02903550 - time (sec): 144.36 - samples/sec: 8096.64 - lr: 0.050000
2023-04-05 17:12:59,050 epoch 103 - iter 2385/2650 - loss 0.02903728 - time (sec): 162.85 - samples/sec: 8083.27 - lr: 0.050000
2023-04-05 17:13:17,058 epoch 103 - iter 2650/2650 - loss 0.02901260 - time (sec): 180.86 - samples/sec: 8085.63 - lr: 0.050000
2023-04-05 17:13:17,058 ----------------------------------------------------------------------------------------------------
2023-04-05 17:13:17,059 EPOCH 103 done: loss 0.0290 - lr 0.050000
2023-04-05 17:13:17,059 BAD EPOCHS (no improvement): 0
2023-04-05 17:13:17,061 ----------------------------------------------------------------------------------------------------
2023-04-05 17:13:35,434 epoch 104 - iter 265/2650 - loss 0.02795252 - time (sec): 18.37 - samples/sec: 7961.70 - lr: 0.050000
2023-04-05 17:13:53,565 epoch 104 - iter 530/2650 - loss 0.02813495 - time (sec): 36.50 - samples/sec: 8034.54 - lr: 0.050000
2023-04-05 17:14:12,267 epoch 104 - iter 795/2650 - loss 0.02836407 - time (sec): 55.21 - samples/sec: 7971.23 - lr: 0.050000
2023-04-05 17:14:30,757 epoch 104 - iter 1060/2650 - loss 0.02860051 - time (sec): 73.70 - samples/sec: 7949.02 - lr: 0.050000
2023-04-05 17:14:49,014 epoch 104 - iter 1325/2650 - loss 0.02853786 - time (sec): 91.95 - samples/sec: 7967.92 - lr: 0.050000
2023-04-05 17:15:06,839 epoch 104 - iter 1590/2650 - loss 0.02855968 - time (sec): 109.78 - samples/sec: 7988.34 - lr: 0.050000
2023-04-05 17:15:24,944 epoch 104 - iter 1855/2650 - loss 0.02894790 - time (sec): 127.88 - samples/sec: 8007.18 - lr: 0.050000
2023-04-05 17:15:43,273 epoch 104 - iter 2120/2650 - loss 0.02906222 - time (sec): 146.21 - samples/sec: 8012.18 - lr: 0.050000
2023-04-05 17:16:01,514 epoch 104 - iter 2385/2650 - loss 0.02907874 - time (sec): 164.45 - samples/sec: 8010.06 - lr: 0.050000
2023-04-05 17:16:19,169 epoch 104 - iter 2650/2650 - loss 0.02912337 - time (sec): 182.11 - samples/sec: 8030.20 - lr: 0.050000
2023-04-05 17:16:19,169 ----------------------------------------------------------------------------------------------------
2023-04-05 17:16:19,169 EPOCH 104 done: loss 0.0291 - lr 0.050000
2023-04-05 17:16:19,169 BAD EPOCHS (no improvement): 1
2023-04-05 17:16:19,172 ----------------------------------------------------------------------------------------------------
2023-04-05 17:16:37,224 epoch 105 - iter 265/2650 - loss 0.03006240 - time (sec): 18.05 - samples/sec: 8132.29 - lr: 0.050000
2023-04-05 17:16:55,322 epoch 105 - iter 530/2650 - loss 0.02880424 - time (sec): 36.15 - samples/sec: 8026.20 - lr: 0.050000
2023-04-05 17:17:13,688 epoch 105 - iter 795/2650 - loss 0.02882853 - time (sec): 54.52 - samples/sec: 7994.57 - lr: 0.050000
2023-04-05 17:17:32,054 epoch 105 - iter 1060/2650 - loss 0.02867017 - time (sec): 72.88 - samples/sec: 8003.67 - lr: 0.050000
2023-04-05 17:17:50,668 epoch 105 - iter 1325/2650 - loss 0.02880601 - time (sec): 91.50 - samples/sec: 7983.86 - lr: 0.050000
2023-04-05 17:18:08,316 epoch 105 - iter 1590/2650 - loss 0.02870321 - time (sec): 109.14 - samples/sec: 8031.78 - lr: 0.050000
2023-04-05 17:18:26,257 epoch 105 - iter 1855/2650 - loss 0.02873980 - time (sec): 127.08 - samples/sec: 8059.91 - lr: 0.050000
2023-04-05 17:18:44,334 epoch 105 - iter 2120/2650 - loss 0.02888801 - time (sec): 145.16 - samples/sec: 8063.93 - lr: 0.050000
2023-04-05 17:19:02,340 epoch 105 - iter 2385/2650 - loss 0.02896487 - time (sec): 163.17 - samples/sec: 8066.47 - lr: 0.050000
2023-04-05 17:19:30,636 epoch 105 - iter 2650/2650 - loss 0.02898334 - time (sec): 191.46 - samples/sec: 7637.82 - lr: 0.050000
2023-04-05 17:19:30,636 ----------------------------------------------------------------------------------------------------
2023-04-05 17:19:30,636 EPOCH 105 done: loss 0.0290 - lr 0.050000
2023-04-05 17:19:30,636 BAD EPOCHS (no improvement): 0
2023-04-05 17:19:30,639 ----------------------------------------------------------------------------------------------------
2023-04-05 17:19:48,405 epoch 106 - iter 265/2650 - loss 0.02948329 - time (sec): 17.77 - samples/sec: 8268.79 - lr: 0.050000
2023-04-05 17:20:06,705 epoch 106 - iter 530/2650 - loss 0.02822930 - time (sec): 36.07 - samples/sec: 8110.59 - lr: 0.050000
2023-04-05 17:20:24,644 epoch 106 - iter 795/2650 - loss 0.02879564 - time (sec): 54.01 - samples/sec: 8122.04 - lr: 0.050000
2023-04-05 17:20:42,979 epoch 106 - iter 1060/2650 - loss 0.02869529 - time (sec): 72.34 - samples/sec: 8098.69 - lr: 0.050000
2023-04-05 17:21:00,902 epoch 106 - iter 1325/2650 - loss 0.02859426 - time (sec): 90.26 - samples/sec: 8113.73 - lr: 0.050000
2023-04-05 17:21:18,987 epoch 106 - iter 1590/2650 - loss 0.02863329 - time (sec): 108.35 - samples/sec: 8107.98 - lr: 0.050000
2023-04-05 17:21:37,195 epoch 106 - iter 1855/2650 - loss 0.02871771 - time (sec): 126.56 - samples/sec: 8099.79 - lr: 0.050000
2023-04-05 17:21:55,689 epoch 106 - iter 2120/2650 - loss 0.02868298 - time (sec): 145.05 - samples/sec: 8081.96 - lr: 0.050000
2023-04-05 17:22:13,767 epoch 106 - iter 2385/2650 - loss 0.02860349 - time (sec): 163.13 - samples/sec: 8080.49 - lr: 0.050000
2023-04-05 17:22:31,988 epoch 106 - iter 2650/2650 - loss 0.02863135 - time (sec): 181.35 - samples/sec: 8063.78 - lr: 0.050000
2023-04-05 17:22:31,988 ----------------------------------------------------------------------------------------------------
2023-04-05 17:22:31,988 EPOCH 106 done: loss 0.0286 - lr 0.050000
2023-04-05 17:22:31,989 BAD EPOCHS (no improvement): 0
2023-04-05 17:22:31,995 ----------------------------------------------------------------------------------------------------
2023-04-05 17:22:50,632 epoch 107 - iter 265/2650 - loss 0.03090108 - time (sec): 18.64 - samples/sec: 7837.85 - lr: 0.050000
2023-04-05 17:23:08,692 epoch 107 - iter 530/2650 - loss 0.02989043 - time (sec): 36.70 - samples/sec: 7993.75 - lr: 0.050000
2023-04-05 17:23:27,071 epoch 107 - iter 795/2650 - loss 0.02936208 - time (sec): 55.08 - samples/sec: 7975.67 - lr: 0.050000
2023-04-05 17:23:44,847 epoch 107 - iter 1060/2650 - loss 0.02909403 - time (sec): 72.85 - samples/sec: 8031.93 - lr: 0.050000
2023-04-05 17:24:02,543 epoch 107 - iter 1325/2650 - loss 0.02888072 - time (sec): 90.55 - samples/sec: 8082.86 - lr: 0.050000
2023-04-05 17:24:20,568 epoch 107 - iter 1590/2650 - loss 0.02865145 - time (sec): 108.57 - samples/sec: 8084.89 - lr: 0.050000
2023-04-05 17:24:38,581 epoch 107 - iter 1855/2650 - loss 0.02873011 - time (sec): 126.59 - samples/sec: 8083.83 - lr: 0.050000
2023-04-05 17:24:56,425 epoch 107 - iter 2120/2650 - loss 0.02865957 - time (sec): 144.43 - samples/sec: 8087.88 - lr: 0.050000
2023-04-05 17:25:15,219 epoch 107 - iter 2385/2650 - loss 0.02859194 - time (sec): 163.22 - samples/sec: 8054.80 - lr: 0.050000
2023-04-05 17:25:33,691 epoch 107 - iter 2650/2650 - loss 0.02862999 - time (sec): 181.70 - samples/sec: 8048.41 - lr: 0.050000
2023-04-05 17:25:33,691 ----------------------------------------------------------------------------------------------------
2023-04-05 17:25:33,691 EPOCH 107 done: loss 0.0286 - lr 0.050000
2023-04-05 17:25:33,691 BAD EPOCHS (no improvement): 0
2023-04-05 17:25:33,693 ----------------------------------------------------------------------------------------------------
2023-04-05 17:25:52,024 epoch 108 - iter 265/2650 - loss 0.02842706 - time (sec): 18.33 - samples/sec: 7917.86 - lr: 0.050000
2023-04-05 17:26:09,716 epoch 108 - iter 530/2650 - loss 0.02916818 - time (sec): 36.02 - samples/sec: 8055.72 - lr: 0.050000
2023-04-05 17:26:26,974 epoch 108 - iter 795/2650 - loss 0.02888848 - time (sec): 53.28 - samples/sec: 8154.80 - lr: 0.050000
2023-04-05 17:26:45,102 epoch 108 - iter 1060/2650 - loss 0.02885894 - time (sec): 71.41 - samples/sec: 8128.54 - lr: 0.050000
2023-04-05 17:27:02,911 epoch 108 - iter 1325/2650 - loss 0.02879496 - time (sec): 89.22 - samples/sec: 8134.40 - lr: 0.050000
2023-04-05 17:27:21,266 epoch 108 - iter 1590/2650 - loss 0.02870162 - time (sec): 107.57 - samples/sec: 8110.64 - lr: 0.050000
2023-04-05 17:27:39,625 epoch 108 - iter 1855/2650 - loss 0.02866263 - time (sec): 125.93 - samples/sec: 8099.30 - lr: 0.050000
2023-04-05 17:27:57,989 epoch 108 - iter 2120/2650 - loss 0.02866592 - time (sec): 144.30 - samples/sec: 8090.35 - lr: 0.050000
2023-04-05 17:28:15,941 epoch 108 - iter 2385/2650 - loss 0.02864924 - time (sec): 162.25 - samples/sec: 8103.74 - lr: 0.050000
2023-04-05 17:28:34,490 epoch 108 - iter 2650/2650 - loss 0.02857386 - time (sec): 180.80 - samples/sec: 8088.45 - lr: 0.050000
2023-04-05 17:28:34,490 ----------------------------------------------------------------------------------------------------
2023-04-05 17:28:34,490 EPOCH 108 done: loss 0.0286 - lr 0.050000
2023-04-05 17:28:34,490 BAD EPOCHS (no improvement): 0
2023-04-05 17:28:34,493 ----------------------------------------------------------------------------------------------------
2023-04-05 17:28:51,967 epoch 109 - iter 265/2650 - loss 0.02936650 - time (sec): 17.47 - samples/sec: 8241.63 - lr: 0.050000
2023-04-05 17:29:10,373 epoch 109 - iter 530/2650 - loss 0.02867800 - time (sec): 35.88 - samples/sec: 8103.14 - lr: 0.050000
2023-04-05 17:29:28,865 epoch 109 - iter 795/2650 - loss 0.02835937 - time (sec): 54.37 - samples/sec: 8052.93 - lr: 0.050000
2023-04-05 17:29:47,205 epoch 109 - iter 1060/2650 - loss 0.02867269 - time (sec): 72.71 - samples/sec: 8035.43 - lr: 0.050000
2023-04-05 17:30:04,976 epoch 109 - iter 1325/2650 - loss 0.02877673 - time (sec): 90.48 - samples/sec: 8066.58 - lr: 0.050000
2023-04-05 17:30:22,696 epoch 109 - iter 1590/2650 - loss 0.02883464 - time (sec): 108.20 - samples/sec: 8086.87 - lr: 0.050000
2023-04-05 17:30:40,870 epoch 109 - iter 1855/2650 - loss 0.02888421 - time (sec): 126.38 - samples/sec: 8084.22 - lr: 0.050000
2023-04-05 17:30:58,814 epoch 109 - iter 2120/2650 - loss 0.02893871 - time (sec): 144.32 - samples/sec: 8099.67 - lr: 0.050000
2023-04-05 17:31:17,151 epoch 109 - iter 2385/2650 - loss 0.02892781 - time (sec): 162.66 - samples/sec: 8090.87 - lr: 0.050000
2023-04-05 17:31:35,301 epoch 109 - iter 2650/2650 - loss 0.02881606 - time (sec): 180.81 - samples/sec: 8087.94 - lr: 0.050000
2023-04-05 17:31:35,301 ----------------------------------------------------------------------------------------------------
2023-04-05 17:31:35,301 EPOCH 109 done: loss 0.0288 - lr 0.050000
2023-04-05 17:31:35,301 BAD EPOCHS (no improvement): 1
2023-04-05 17:31:35,304 ----------------------------------------------------------------------------------------------------
2023-04-05 17:31:53,820 epoch 110 - iter 265/2650 - loss 0.02926556 - time (sec): 18.52 - samples/sec: 7955.47 - lr: 0.050000
2023-04-05 17:32:11,348 epoch 110 - iter 530/2650 - loss 0.02886637 - time (sec): 36.04 - samples/sec: 8095.76 - lr: 0.050000
2023-04-05 17:32:29,531 epoch 110 - iter 795/2650 - loss 0.02840960 - time (sec): 54.23 - samples/sec: 8101.67 - lr: 0.050000
2023-04-05 17:32:47,174 epoch 110 - iter 1060/2650 - loss 0.02873275 - time (sec): 71.87 - samples/sec: 8135.65 - lr: 0.050000
2023-04-05 17:33:05,172 epoch 110 - iter 1325/2650 - loss 0.02872997 - time (sec): 89.87 - samples/sec: 8132.34 - lr: 0.050000
2023-04-05 17:33:23,315 epoch 110 - iter 1590/2650 - loss 0.02854199 - time (sec): 108.01 - samples/sec: 8115.72 - lr: 0.050000
2023-04-05 17:33:41,458 epoch 110 - iter 1855/2650 - loss 0.02849189 - time (sec): 126.15 - samples/sec: 8106.59 - lr: 0.050000
2023-04-05 17:34:00,141 epoch 110 - iter 2120/2650 - loss 0.02867275 - time (sec): 144.84 - samples/sec: 8080.88 - lr: 0.050000
2023-04-05 17:34:18,089 epoch 110 - iter 2385/2650 - loss 0.02864965 - time (sec): 162.79 - samples/sec: 8087.99 - lr: 0.050000
2023-04-05 17:34:36,143 epoch 110 - iter 2650/2650 - loss 0.02862272 - time (sec): 180.84 - samples/sec: 8086.53 - lr: 0.050000
2023-04-05 17:34:36,144 ----------------------------------------------------------------------------------------------------
2023-04-05 17:34:36,144 EPOCH 110 done: loss 0.0286 - lr 0.050000
2023-04-05 17:34:36,144 BAD EPOCHS (no improvement): 2
2023-04-05 17:34:36,147 ----------------------------------------------------------------------------------------------------
2023-04-05 17:34:54,061 epoch 111 - iter 265/2650 - loss 0.02831877 - time (sec): 17.91 - samples/sec: 8038.33 - lr: 0.050000
2023-04-05 17:35:12,810 epoch 111 - iter 530/2650 - loss 0.02946900 - time (sec): 36.66 - samples/sec: 7956.63 - lr: 0.050000
2023-04-05 17:35:30,698 epoch 111 - iter 795/2650 - loss 0.02927524 - time (sec): 54.55 - samples/sec: 8011.23 - lr: 0.050000
2023-04-05 17:35:48,628 epoch 111 - iter 1060/2650 - loss 0.02888681 - time (sec): 72.48 - samples/sec: 8017.69 - lr: 0.050000
2023-04-05 17:36:06,897 epoch 111 - iter 1325/2650 - loss 0.02898305 - time (sec): 90.75 - samples/sec: 8035.93 - lr: 0.050000
2023-04-05 17:36:24,629 epoch 111 - iter 1590/2650 - loss 0.02914566 - time (sec): 108.48 - samples/sec: 8071.95 - lr: 0.050000
2023-04-05 17:36:43,157 epoch 111 - iter 1855/2650 - loss 0.02910074 - time (sec): 127.01 - samples/sec: 8053.78 - lr: 0.050000
2023-04-05 17:37:00,938 epoch 111 - iter 2120/2650 - loss 0.02908495 - time (sec): 144.79 - samples/sec: 8078.31 - lr: 0.050000
2023-04-05 17:37:18,797 epoch 111 - iter 2385/2650 - loss 0.02903722 - time (sec): 162.65 - samples/sec: 8096.77 - lr: 0.050000
2023-04-05 17:37:36,502 epoch 111 - iter 2650/2650 - loss 0.02903882 - time (sec): 180.36 - samples/sec: 8108.23 - lr: 0.050000
2023-04-05 17:37:36,503 ----------------------------------------------------------------------------------------------------
2023-04-05 17:37:36,503 EPOCH 111 done: loss 0.0290 - lr 0.050000
2023-04-05 17:37:36,503 BAD EPOCHS (no improvement): 3
2023-04-05 17:37:36,505 ----------------------------------------------------------------------------------------------------
2023-04-05 17:37:54,752 epoch 112 - iter 265/2650 - loss 0.02710494 - time (sec): 18.25 - samples/sec: 8029.51 - lr: 0.050000
2023-04-05 17:38:13,021 epoch 112 - iter 530/2650 - loss 0.02772084 - time (sec): 36.52 - samples/sec: 8014.28 - lr: 0.050000
2023-04-05 17:38:30,957 epoch 112 - iter 795/2650 - loss 0.02807779 - time (sec): 54.45 - samples/sec: 8082.31 - lr: 0.050000
2023-04-05 17:38:49,111 epoch 112 - iter 1060/2650 - loss 0.02848853 - time (sec): 72.61 - samples/sec: 8056.14 - lr: 0.050000
2023-04-05 17:39:06,830 epoch 112 - iter 1325/2650 - loss 0.02833008 - time (sec): 90.32 - samples/sec: 8075.49 - lr: 0.050000
2023-04-05 17:39:24,855 epoch 112 - iter 1590/2650 - loss 0.02819534 - time (sec): 108.35 - samples/sec: 8084.03 - lr: 0.050000
2023-04-05 17:39:43,264 epoch 112 - iter 1855/2650 - loss 0.02840982 - time (sec): 126.76 - samples/sec: 8079.38 - lr: 0.050000
2023-04-05 17:40:01,239 epoch 112 - iter 2120/2650 - loss 0.02842634 - time (sec): 144.73 - samples/sec: 8090.68 - lr: 0.050000
2023-04-05 17:40:19,289 epoch 112 - iter 2385/2650 - loss 0.02849352 - time (sec): 162.78 - samples/sec: 8082.26 - lr: 0.050000
2023-04-05 17:40:37,663 epoch 112 - iter 2650/2650 - loss 0.02848127 - time (sec): 181.16 - samples/sec: 8072.33 - lr: 0.050000
2023-04-05 17:40:37,663 ----------------------------------------------------------------------------------------------------
2023-04-05 17:40:37,663 EPOCH 112 done: loss 0.0285 - lr 0.050000
2023-04-05 17:40:37,663 BAD EPOCHS (no improvement): 0
2023-04-05 17:40:37,666 ----------------------------------------------------------------------------------------------------
2023-04-05 17:40:56,057 epoch 113 - iter 265/2650 - loss 0.02754800 - time (sec): 18.39 - samples/sec: 7957.32 - lr: 0.050000
2023-04-05 17:41:14,523 epoch 113 - iter 530/2650 - loss 0.02840821 - time (sec): 36.86 - samples/sec: 7932.46 - lr: 0.050000
2023-04-05 17:41:32,859 epoch 113 - iter 795/2650 - loss 0.02789125 - time (sec): 55.19 - samples/sec: 7970.08 - lr: 0.050000
2023-04-05 17:41:50,298 epoch 113 - iter 1060/2650 - loss 0.02779993 - time (sec): 72.63 - samples/sec: 8038.57 - lr: 0.050000
2023-04-05 17:42:08,925 epoch 113 - iter 1325/2650 - loss 0.02803452 - time (sec): 91.26 - samples/sec: 8009.76 - lr: 0.050000
2023-04-05 17:42:26,725 epoch 113 - iter 1590/2650 - loss 0.02814691 - time (sec): 109.06 - samples/sec: 8055.16 - lr: 0.050000
2023-04-05 17:42:44,576 epoch 113 - iter 1855/2650 - loss 0.02813755 - time (sec): 126.91 - samples/sec: 8067.19 - lr: 0.050000
2023-04-05 17:43:02,546 epoch 113 - iter 2120/2650 - loss 0.02810261 - time (sec): 144.88 - samples/sec: 8069.85 - lr: 0.050000
2023-04-05 17:43:20,731 epoch 113 - iter 2385/2650 - loss 0.02832263 - time (sec): 163.06 - samples/sec: 8075.92 - lr: 0.050000
2023-04-05 17:43:38,567 epoch 113 - iter 2650/2650 - loss 0.02846656 - time (sec): 180.90 - samples/sec: 8083.79 - lr: 0.050000
2023-04-05 17:43:38,568 ----------------------------------------------------------------------------------------------------
2023-04-05 17:43:38,568 EPOCH 113 done: loss 0.0285 - lr 0.050000
2023-04-05 17:43:38,568 BAD EPOCHS (no improvement): 0
2023-04-05 17:43:38,573 ----------------------------------------------------------------------------------------------------
2023-04-05 17:43:56,858 epoch 114 - iter 265/2650 - loss 0.02907795 - time (sec): 18.28 - samples/sec: 7918.45 - lr: 0.050000
2023-04-05 17:44:21,887 epoch 114 - iter 530/2650 - loss 0.02924185 - time (sec): 43.31 - samples/sec: 6709.71 - lr: 0.050000
2023-04-05 17:44:53,355 epoch 114 - iter 795/2650 - loss 0.02838547 - time (sec): 74.78 - samples/sec: 5844.56 - lr: 0.050000
2023-04-05 17:45:11,690 epoch 114 - iter 1060/2650 - loss 0.02833405 - time (sec): 93.12 - samples/sec: 6281.34 - lr: 0.050000
2023-04-05 17:45:30,081 epoch 114 - iter 1325/2650 - loss 0.02811633 - time (sec): 111.51 - samples/sec: 6555.37 - lr: 0.050000
2023-04-05 17:45:48,257 epoch 114 - iter 1590/2650 - loss 0.02797142 - time (sec): 129.68 - samples/sec: 6771.21 - lr: 0.050000
2023-04-05 17:46:05,961 epoch 114 - iter 1855/2650 - loss 0.02818285 - time (sec): 147.39 - samples/sec: 6951.12 - lr: 0.050000
2023-04-05 17:46:23,393 epoch 114 - iter 2120/2650 - loss 0.02826081 - time (sec): 164.82 - samples/sec: 7098.05 - lr: 0.050000
2023-04-05 17:46:41,640 epoch 114 - iter 2385/2650 - loss 0.02830574 - time (sec): 183.07 - samples/sec: 7191.79 - lr: 0.050000
2023-04-05 17:47:15,747 epoch 114 - iter 2650/2650 - loss 0.02831788 - time (sec): 217.17 - samples/sec: 6733.63 - lr: 0.050000
2023-04-05 17:47:15,747 ----------------------------------------------------------------------------------------------------
2023-04-05 17:47:15,747 EPOCH 114 done: loss 0.0283 - lr 0.050000
2023-04-05 17:47:15,747 BAD EPOCHS (no improvement): 0
2023-04-05 17:47:15,751 ----------------------------------------------------------------------------------------------------
2023-04-05 17:47:39,238 epoch 115 - iter 265/2650 - loss 0.02738039 - time (sec): 23.49 - samples/sec: 6344.94 - lr: 0.050000
2023-04-05 17:47:57,205 epoch 115 - iter 530/2650 - loss 0.02808868 - time (sec): 41.45 - samples/sec: 7078.57 - lr: 0.050000
2023-04-05 17:48:14,884 epoch 115 - iter 795/2650 - loss 0.02831272 - time (sec): 59.13 - samples/sec: 7428.64 - lr: 0.050000
2023-04-05 17:48:32,881 epoch 115 - iter 1060/2650 - loss 0.02821831 - time (sec): 77.13 - samples/sec: 7575.37 - lr: 0.050000
2023-04-05 17:48:50,651 epoch 115 - iter 1325/2650 - loss 0.02852687 - time (sec): 94.90 - samples/sec: 7700.82 - lr: 0.050000
2023-04-05 17:49:09,107 epoch 115 - iter 1590/2650 - loss 0.02850624 - time (sec): 113.36 - samples/sec: 7742.93 - lr: 0.050000
2023-04-05 17:49:27,021 epoch 115 - iter 1855/2650 - loss 0.02842765 - time (sec): 131.27 - samples/sec: 7796.84 - lr: 0.050000
2023-04-05 17:49:45,047 epoch 115 - iter 2120/2650 - loss 0.02856729 - time (sec): 149.30 - samples/sec: 7826.67 - lr: 0.050000
2023-04-05 17:50:03,408 epoch 115 - iter 2385/2650 - loss 0.02855496 - time (sec): 167.66 - samples/sec: 7855.97 - lr: 0.050000
2023-04-05 17:50:21,777 epoch 115 - iter 2650/2650 - loss 0.02856531 - time (sec): 186.03 - samples/sec: 7861.05 - lr: 0.050000
2023-04-05 17:50:21,778 ----------------------------------------------------------------------------------------------------
2023-04-05 17:50:21,778 EPOCH 115 done: loss 0.0286 - lr 0.050000
2023-04-05 17:50:21,778 BAD EPOCHS (no improvement): 1
2023-04-05 17:50:21,780 ----------------------------------------------------------------------------------------------------
2023-04-05 17:50:40,208 epoch 116 - iter 265/2650 - loss 0.02798561 - time (sec): 18.43 - samples/sec: 8018.63 - lr: 0.050000
2023-04-05 17:50:58,748 epoch 116 - iter 530/2650 - loss 0.02852557 - time (sec): 36.97 - samples/sec: 7974.32 - lr: 0.050000
2023-04-05 17:51:16,660 epoch 116 - iter 795/2650 - loss 0.02806934 - time (sec): 54.88 - samples/sec: 7989.55 - lr: 0.050000
2023-04-05 17:51:35,049 epoch 116 - iter 1060/2650 - loss 0.02814954 - time (sec): 73.27 - samples/sec: 7971.00 - lr: 0.050000
2023-04-05 17:51:53,443 epoch 116 - iter 1325/2650 - loss 0.02806115 - time (sec): 91.66 - samples/sec: 7965.58 - lr: 0.050000
2023-04-05 17:52:11,476 epoch 116 - iter 1590/2650 - loss 0.02823494 - time (sec): 109.70 - samples/sec: 7988.36 - lr: 0.050000
2023-04-05 17:52:29,954 epoch 116 - iter 1855/2650 - loss 0.02811955 - time (sec): 128.17 - samples/sec: 7991.25 - lr: 0.050000
2023-04-05 17:52:48,422 epoch 116 - iter 2120/2650 - loss 0.02831881 - time (sec): 146.64 - samples/sec: 7988.36 - lr: 0.050000
2023-04-05 17:53:06,264 epoch 116 - iter 2385/2650 - loss 0.02832040 - time (sec): 164.48 - samples/sec: 8006.16 - lr: 0.050000
2023-04-05 17:53:23,952 epoch 116 - iter 2650/2650 - loss 0.02839601 - time (sec): 182.17 - samples/sec: 8027.39 - lr: 0.050000
2023-04-05 17:53:23,952 ----------------------------------------------------------------------------------------------------
2023-04-05 17:53:23,952 EPOCH 116 done: loss 0.0284 - lr 0.050000
2023-04-05 17:53:23,953 BAD EPOCHS (no improvement): 2
2023-04-05 17:53:23,955 ----------------------------------------------------------------------------------------------------
2023-04-05 17:53:42,049 epoch 117 - iter 265/2650 - loss 0.02763361 - time (sec): 18.09 - samples/sec: 8049.00 - lr: 0.050000
2023-04-05 17:53:59,930 epoch 117 - iter 530/2650 - loss 0.02823546 - time (sec): 35.97 - samples/sec: 8122.72 - lr: 0.050000
2023-04-05 17:54:18,046 epoch 117 - iter 795/2650 - loss 0.02855896 - time (sec): 54.09 - samples/sec: 8127.38 - lr: 0.050000
2023-04-05 17:54:35,773 epoch 117 - iter 1060/2650 - loss 0.02873585 - time (sec): 71.82 - samples/sec: 8140.53 - lr: 0.050000
2023-04-05 17:54:53,737 epoch 117 - iter 1325/2650 - loss 0.02855544 - time (sec): 89.78 - samples/sec: 8128.03 - lr: 0.050000
2023-04-05 17:55:12,332 epoch 117 - iter 1590/2650 - loss 0.02846007 - time (sec): 108.38 - samples/sec: 8110.19 - lr: 0.050000
2023-04-05 17:55:30,492 epoch 117 - iter 1855/2650 - loss 0.02839878 - time (sec): 126.54 - samples/sec: 8109.41 - lr: 0.050000
2023-04-05 17:55:48,407 epoch 117 - iter 2120/2650 - loss 0.02827772 - time (sec): 144.45 - samples/sec: 8103.68 - lr: 0.050000
2023-04-05 17:56:06,406 epoch 117 - iter 2385/2650 - loss 0.02835868 - time (sec): 162.45 - samples/sec: 8101.76 - lr: 0.050000
2023-04-05 17:56:24,435 epoch 117 - iter 2650/2650 - loss 0.02826237 - time (sec): 180.48 - samples/sec: 8102.62 - lr: 0.050000
2023-04-05 17:56:24,436 ----------------------------------------------------------------------------------------------------
2023-04-05 17:56:24,436 EPOCH 117 done: loss 0.0283 - lr 0.050000
2023-04-05 17:56:24,436 BAD EPOCHS (no improvement): 0
2023-04-05 17:56:24,439 ----------------------------------------------------------------------------------------------------
2023-04-05 17:56:42,806 epoch 118 - iter 265/2650 - loss 0.02689999 - time (sec): 18.37 - samples/sec: 8017.21 - lr: 0.050000
2023-04-05 17:57:00,685 epoch 118 - iter 530/2650 - loss 0.02754985 - time (sec): 36.25 - samples/sec: 8084.31 - lr: 0.050000
2023-04-05 17:57:17,941 epoch 118 - iter 795/2650 - loss 0.02747606 - time (sec): 53.50 - samples/sec: 8197.73 - lr: 0.050000
2023-04-05 17:57:36,304 epoch 118 - iter 1060/2650 - loss 0.02740483 - time (sec): 71.86 - samples/sec: 8146.87 - lr: 0.050000
2023-04-05 17:57:54,803 epoch 118 - iter 1325/2650 - loss 0.02749871 - time (sec): 90.36 - samples/sec: 8112.86 - lr: 0.050000
2023-04-05 17:58:12,685 epoch 118 - iter 1590/2650 - loss 0.02787136 - time (sec): 108.25 - samples/sec: 8118.77 - lr: 0.050000
2023-04-05 17:58:30,769 epoch 118 - iter 1855/2650 - loss 0.02785887 - time (sec): 126.33 - samples/sec: 8113.33 - lr: 0.050000
2023-04-05 17:58:50,153 epoch 118 - iter 2120/2650 - loss 0.02802973 - time (sec): 145.71 - samples/sec: 8036.64 - lr: 0.050000
2023-04-05 17:59:08,043 epoch 118 - iter 2385/2650 - loss 0.02805504 - time (sec): 163.60 - samples/sec: 8047.51 - lr: 0.050000
2023-04-05 17:59:26,273 epoch 118 - iter 2650/2650 - loss 0.02817978 - time (sec): 181.83 - samples/sec: 8042.27 - lr: 0.050000
2023-04-05 17:59:26,274 ----------------------------------------------------------------------------------------------------
2023-04-05 17:59:26,274 EPOCH 118 done: loss 0.0282 - lr 0.050000
2023-04-05 17:59:26,274 BAD EPOCHS (no improvement): 0
2023-04-05 17:59:26,276 ----------------------------------------------------------------------------------------------------
2023-04-05 17:59:44,421 epoch 119 - iter 265/2650 - loss 0.02644769 - time (sec): 18.14 - samples/sec: 8064.26 - lr: 0.050000
2023-04-05 18:00:02,257 epoch 119 - iter 530/2650 - loss 0.02640071 - time (sec): 35.98 - samples/sec: 8111.27 - lr: 0.050000
2023-04-05 18:00:20,821 epoch 119 - iter 795/2650 - loss 0.02660438 - time (sec): 54.54 - samples/sec: 8031.55 - lr: 0.050000
2023-04-05 18:00:39,006 epoch 119 - iter 1060/2650 - loss 0.02712309 - time (sec): 72.73 - samples/sec: 8016.74 - lr: 0.050000
2023-04-05 18:00:56,571 epoch 119 - iter 1325/2650 - loss 0.02756340 - time (sec): 90.29 - samples/sec: 8064.68 - lr: 0.050000
2023-04-05 18:01:14,702 epoch 119 - iter 1590/2650 - loss 0.02762641 - time (sec): 108.43 - samples/sec: 8073.08 - lr: 0.050000
2023-04-05 18:01:32,379 epoch 119 - iter 1855/2650 - loss 0.02758023 - time (sec): 126.10 - samples/sec: 8105.49 - lr: 0.050000
2023-04-05 18:01:50,471 epoch 119 - iter 2120/2650 - loss 0.02772653 - time (sec): 144.19 - samples/sec: 8104.24 - lr: 0.050000
2023-04-05 18:02:08,855 epoch 119 - iter 2385/2650 - loss 0.02774498 - time (sec): 162.58 - samples/sec: 8095.88 - lr: 0.050000
2023-04-05 18:02:27,305 epoch 119 - iter 2650/2650 - loss 0.02774099 - time (sec): 181.03 - samples/sec: 8078.07 - lr: 0.050000
2023-04-05 18:02:27,305 ----------------------------------------------------------------------------------------------------
2023-04-05 18:02:27,305 EPOCH 119 done: loss 0.0277 - lr 0.050000
2023-04-05 18:02:27,305 BAD EPOCHS (no improvement): 0
2023-04-05 18:02:27,308 ----------------------------------------------------------------------------------------------------
2023-04-05 18:02:45,248 epoch 120 - iter 265/2650 - loss 0.02702659 - time (sec): 17.94 - samples/sec: 8257.55 - lr: 0.050000
2023-04-05 18:03:03,264 epoch 120 - iter 530/2650 - loss 0.02721009 - time (sec): 35.96 - samples/sec: 8176.43 - lr: 0.050000
2023-04-05 18:03:21,904 epoch 120 - iter 795/2650 - loss 0.02741460 - time (sec): 54.60 - samples/sec: 8071.94 - lr: 0.050000
2023-04-05 18:03:39,644 epoch 120 - iter 1060/2650 - loss 0.02711904 - time (sec): 72.34 - samples/sec: 8098.67 - lr: 0.050000
2023-04-05 18:03:58,137 epoch 120 - iter 1325/2650 - loss 0.02713009 - time (sec): 90.83 - samples/sec: 8072.12 - lr: 0.050000
2023-04-05 18:04:16,185 epoch 120 - iter 1590/2650 - loss 0.02736496 - time (sec): 108.88 - samples/sec: 8084.03 - lr: 0.050000
2023-04-05 18:04:34,058 epoch 120 - iter 1855/2650 - loss 0.02768589 - time (sec): 126.75 - samples/sec: 8087.47 - lr: 0.050000
2023-04-05 18:04:52,645 epoch 120 - iter 2120/2650 - loss 0.02785959 - time (sec): 145.34 - samples/sec: 8062.32 - lr: 0.050000
2023-04-05 18:05:11,062 epoch 120 - iter 2385/2650 - loss 0.02788691 - time (sec): 163.75 - samples/sec: 8047.74 - lr: 0.050000
2023-04-05 18:05:28,822 epoch 120 - iter 2650/2650 - loss 0.02809507 - time (sec): 181.51 - samples/sec: 8056.52 - lr: 0.050000
2023-04-05 18:05:28,822 ----------------------------------------------------------------------------------------------------
2023-04-05 18:05:28,822 EPOCH 120 done: loss 0.0281 - lr 0.050000
2023-04-05 18:05:28,822 BAD EPOCHS (no improvement): 1
2023-04-05 18:05:28,825 ----------------------------------------------------------------------------------------------------
2023-04-05 18:05:47,247 epoch 121 - iter 265/2650 - loss 0.02521062 - time (sec): 18.42 - samples/sec: 7955.11 - lr: 0.050000
2023-04-05 18:06:05,451 epoch 121 - iter 530/2650 - loss 0.02611540 - time (sec): 36.63 - samples/sec: 7998.17 - lr: 0.050000
2023-04-05 18:06:23,802 epoch 121 - iter 795/2650 - loss 0.02669010 - time (sec): 54.98 - samples/sec: 7990.58 - lr: 0.050000
2023-04-05 18:06:42,162 epoch 121 - iter 1060/2650 - loss 0.02672997 - time (sec): 73.34 - samples/sec: 8015.95 - lr: 0.050000
2023-04-05 18:07:00,335 epoch 121 - iter 1325/2650 - loss 0.02709965 - time (sec): 91.51 - samples/sec: 8016.69 - lr: 0.050000
2023-04-05 18:07:27,715 epoch 121 - iter 1590/2650 - loss 0.02715452 - time (sec): 118.89 - samples/sec: 7392.65 - lr: 0.050000
2023-04-05 18:07:45,954 epoch 121 - iter 1855/2650 - loss 0.02726512 - time (sec): 137.13 - samples/sec: 7474.79 - lr: 0.050000
2023-04-05 18:08:03,698 epoch 121 - iter 2120/2650 - loss 0.02749526 - time (sec): 154.87 - samples/sec: 7550.02 - lr: 0.050000
2023-04-05 18:08:22,521 epoch 121 - iter 2385/2650 - loss 0.02754644 - time (sec): 173.70 - samples/sec: 7575.39 - lr: 0.050000
2023-04-05 18:08:40,590 epoch 121 - iter 2650/2650 - loss 0.02765558 - time (sec): 191.76 - samples/sec: 7625.84 - lr: 0.050000
2023-04-05 18:08:40,590 ----------------------------------------------------------------------------------------------------
2023-04-05 18:08:40,590 EPOCH 121 done: loss 0.0277 - lr 0.050000
2023-04-05 18:08:40,590 BAD EPOCHS (no improvement): 0
2023-04-05 18:08:40,593 ----------------------------------------------------------------------------------------------------
2023-04-05 18:08:58,595 epoch 122 - iter 265/2650 - loss 0.02808547 - time (sec): 18.00 - samples/sec: 8091.27 - lr: 0.050000
2023-04-05 18:09:17,139 epoch 122 - iter 530/2650 - loss 0.02802134 - time (sec): 36.55 - samples/sec: 8055.63 - lr: 0.050000
2023-04-05 18:09:35,610 epoch 122 - iter 795/2650 - loss 0.02840358 - time (sec): 55.02 - samples/sec: 8029.66 - lr: 0.050000
2023-04-05 18:09:54,781 epoch 122 - iter 1060/2650 - loss 0.02802755 - time (sec): 74.19 - samples/sec: 7941.52 - lr: 0.050000
2023-04-05 18:10:12,539 epoch 122 - iter 1325/2650 - loss 0.02777354 - time (sec): 91.95 - samples/sec: 7993.57 - lr: 0.050000
2023-04-05 18:10:30,639 epoch 122 - iter 1590/2650 - loss 0.02793101 - time (sec): 110.05 - samples/sec: 7986.07 - lr: 0.050000
2023-04-05 18:10:48,509 epoch 122 - iter 1855/2650 - loss 0.02804560 - time (sec): 127.92 - samples/sec: 8021.44 - lr: 0.050000
2023-04-05 18:11:06,150 epoch 122 - iter 2120/2650 - loss 0.02801840 - time (sec): 145.56 - samples/sec: 8048.11 - lr: 0.050000
2023-04-05 18:11:23,999 epoch 122 - iter 2385/2650 - loss 0.02804419 - time (sec): 163.41 - samples/sec: 8050.68 - lr: 0.050000
2023-04-05 18:11:42,125 epoch 122 - iter 2650/2650 - loss 0.02825461 - time (sec): 181.53 - samples/sec: 8055.71 - lr: 0.050000
2023-04-05 18:11:42,125 ----------------------------------------------------------------------------------------------------
2023-04-05 18:11:42,125 EPOCH 122 done: loss 0.0283 - lr 0.050000
2023-04-05 18:11:42,125 BAD EPOCHS (no improvement): 1
2023-04-05 18:11:42,128 ----------------------------------------------------------------------------------------------------
2023-04-05 18:12:00,105 epoch 123 - iter 265/2650 - loss 0.02711484 - time (sec): 17.98 - samples/sec: 8076.46 - lr: 0.050000
2023-04-05 18:12:17,847 epoch 123 - iter 530/2650 - loss 0.02717101 - time (sec): 35.72 - samples/sec: 8165.61 - lr: 0.050000
2023-04-05 18:12:35,894 epoch 123 - iter 795/2650 - loss 0.02747001 - time (sec): 53.77 - samples/sec: 8127.88 - lr: 0.050000
2023-04-05 18:12:54,208 epoch 123 - iter 1060/2650 - loss 0.02813646 - time (sec): 72.08 - samples/sec: 8112.13 - lr: 0.050000
2023-04-05 18:13:12,462 epoch 123 - iter 1325/2650 - loss 0.02800627 - time (sec): 90.33 - samples/sec: 8084.99 - lr: 0.050000
2023-04-05 18:13:30,678 epoch 123 - iter 1590/2650 - loss 0.02798650 - time (sec): 108.55 - samples/sec: 8071.92 - lr: 0.050000
2023-04-05 18:13:49,293 epoch 123 - iter 1855/2650 - loss 0.02803206 - time (sec): 127.16 - samples/sec: 8054.09 - lr: 0.050000
2023-04-05 18:14:07,008 epoch 123 - iter 2120/2650 - loss 0.02811204 - time (sec): 144.88 - samples/sec: 8070.50 - lr: 0.050000
2023-04-05 18:14:25,437 epoch 123 - iter 2385/2650 - loss 0.02819932 - time (sec): 163.31 - samples/sec: 8056.29 - lr: 0.050000
2023-04-05 18:14:43,740 epoch 123 - iter 2650/2650 - loss 0.02813888 - time (sec): 181.61 - samples/sec: 8052.14 - lr: 0.050000
2023-04-05 18:14:43,740 ----------------------------------------------------------------------------------------------------
2023-04-05 18:14:43,740 EPOCH 123 done: loss 0.0281 - lr 0.050000
2023-04-05 18:14:43,740 BAD EPOCHS (no improvement): 2
2023-04-05 18:14:43,743 ----------------------------------------------------------------------------------------------------
2023-04-05 18:15:01,592 epoch 124 - iter 265/2650 - loss 0.02696338 - time (sec): 17.85 - samples/sec: 8135.77 - lr: 0.050000
2023-04-05 18:15:19,412 epoch 124 - iter 530/2650 - loss 0.02725889 - time (sec): 35.67 - samples/sec: 8165.15 - lr: 0.050000
2023-04-05 18:15:37,776 epoch 124 - iter 795/2650 - loss 0.02717434 - time (sec): 54.03 - samples/sec: 8097.14 - lr: 0.050000
2023-04-05 18:15:56,091 epoch 124 - iter 1060/2650 - loss 0.02697220 - time (sec): 72.35 - samples/sec: 8076.50 - lr: 0.050000
2023-04-05 18:16:14,499 epoch 124 - iter 1325/2650 - loss 0.02753524 - time (sec): 90.76 - samples/sec: 8057.13 - lr: 0.050000
2023-04-05 18:16:32,985 epoch 124 - iter 1590/2650 - loss 0.02796007 - time (sec): 109.24 - samples/sec: 8045.80 - lr: 0.050000
2023-04-05 18:16:51,172 epoch 124 - iter 1855/2650 - loss 0.02797708 - time (sec): 127.43 - samples/sec: 8050.30 - lr: 0.050000
2023-04-05 18:17:08,983 epoch 124 - iter 2120/2650 - loss 0.02795310 - time (sec): 145.24 - samples/sec: 8056.13 - lr: 0.050000
2023-04-05 18:17:26,729 epoch 124 - iter 2385/2650 - loss 0.02787938 - time (sec): 162.99 - samples/sec: 8073.85 - lr: 0.050000
2023-04-05 18:17:44,487 epoch 124 - iter 2650/2650 - loss 0.02785167 - time (sec): 180.74 - samples/sec: 8090.77 - lr: 0.050000
2023-04-05 18:17:44,488 ----------------------------------------------------------------------------------------------------
2023-04-05 18:17:44,488 EPOCH 124 done: loss 0.0279 - lr 0.050000
2023-04-05 18:17:44,488 BAD EPOCHS (no improvement): 3
2023-04-05 18:17:44,491 ----------------------------------------------------------------------------------------------------
2023-04-05 18:18:02,340 epoch 125 - iter 265/2650 - loss 0.02856059 - time (sec): 17.85 - samples/sec: 8215.39 - lr: 0.050000
2023-04-05 18:18:20,234 epoch 125 - iter 530/2650 - loss 0.02830099 - time (sec): 35.74 - samples/sec: 8161.19 - lr: 0.050000
2023-04-05 18:18:38,535 epoch 125 - iter 795/2650 - loss 0.02753850 - time (sec): 54.04 - samples/sec: 8113.40 - lr: 0.050000
2023-04-05 18:18:56,637 epoch 125 - iter 1060/2650 - loss 0.02728955 - time (sec): 72.15 - samples/sec: 8103.37 - lr: 0.050000
2023-04-05 18:19:15,119 epoch 125 - iter 1325/2650 - loss 0.02759938 - time (sec): 90.63 - samples/sec: 8097.68 - lr: 0.050000
2023-04-05 18:19:32,488 epoch 125 - iter 1590/2650 - loss 0.02749853 - time (sec): 108.00 - samples/sec: 8131.33 - lr: 0.050000
2023-04-05 18:19:50,791 epoch 125 - iter 1855/2650 - loss 0.02736618 - time (sec): 126.30 - samples/sec: 8102.13 - lr: 0.050000
2023-04-05 18:20:08,911 epoch 125 - iter 2120/2650 - loss 0.02769555 - time (sec): 144.42 - samples/sec: 8093.36 - lr: 0.050000
2023-04-05 18:20:27,474 epoch 125 - iter 2385/2650 - loss 0.02789177 - time (sec): 162.98 - samples/sec: 8077.48 - lr: 0.050000
2023-04-05 18:20:45,176 epoch 125 - iter 2650/2650 - loss 0.02785441 - time (sec): 180.68 - samples/sec: 8093.44 - lr: 0.050000
2023-04-05 18:20:45,176 ----------------------------------------------------------------------------------------------------
2023-04-05 18:20:45,176 EPOCH 125 done: loss 0.0279 - lr 0.050000
2023-04-05 18:20:45,177 Epoch 125: reducing learning rate of group 0 to 2.5000e-02.
2023-04-05 18:20:45,177 BAD EPOCHS (no improvement): 4
2023-04-05 18:20:45,179 ----------------------------------------------------------------------------------------------------
2023-04-05 18:21:03,006 epoch 126 - iter 265/2650 - loss 0.02761471 - time (sec): 17.83 - samples/sec: 8164.70 - lr: 0.025000
2023-04-05 18:21:21,410 epoch 126 - iter 530/2650 - loss 0.02695613 - time (sec): 36.23 - samples/sec: 8065.82 - lr: 0.025000
2023-04-05 18:21:39,232 epoch 126 - iter 795/2650 - loss 0.02639481 - time (sec): 54.05 - samples/sec: 8105.55 - lr: 0.025000
2023-04-05 18:21:57,249 epoch 126 - iter 1060/2650 - loss 0.02669803 - time (sec): 72.07 - samples/sec: 8109.85 - lr: 0.025000
2023-04-05 18:22:15,205 epoch 126 - iter 1325/2650 - loss 0.02696905 - time (sec): 90.03 - samples/sec: 8125.08 - lr: 0.025000
2023-04-05 18:22:33,299 epoch 126 - iter 1590/2650 - loss 0.02689059 - time (sec): 108.12 - samples/sec: 8101.38 - lr: 0.025000
2023-04-05 18:22:51,648 epoch 126 - iter 1855/2650 - loss 0.02675055 - time (sec): 126.47 - samples/sec: 8095.51 - lr: 0.025000
2023-04-05 18:23:09,940 epoch 126 - iter 2120/2650 - loss 0.02703276 - time (sec): 144.76 - samples/sec: 8094.35 - lr: 0.025000
2023-04-05 18:23:28,087 epoch 126 - iter 2385/2650 - loss 0.02695826 - time (sec): 162.91 - samples/sec: 8089.54 - lr: 0.025000
2023-04-05 18:23:45,946 epoch 126 - iter 2650/2650 - loss 0.02686253 - time (sec): 180.77 - samples/sec: 8089.78 - lr: 0.025000
2023-04-05 18:23:45,946 ----------------------------------------------------------------------------------------------------
2023-04-05 18:23:45,946 EPOCH 126 done: loss 0.0269 - lr 0.025000
2023-04-05 18:23:45,946 BAD EPOCHS (no improvement): 0
2023-04-05 18:23:45,949 ----------------------------------------------------------------------------------------------------
2023-04-05 18:24:03,594 epoch 127 - iter 265/2650 - loss 0.02705563 - time (sec): 17.64 - samples/sec: 8251.80 - lr: 0.025000
2023-04-05 18:24:21,622 epoch 127 - iter 530/2650 - loss 0.02700159 - time (sec): 35.67 - samples/sec: 8193.36 - lr: 0.025000
2023-04-05 18:24:39,654 epoch 127 - iter 795/2650 - loss 0.02659643 - time (sec): 53.70 - samples/sec: 8149.77 - lr: 0.025000
2023-04-05 18:24:57,804 epoch 127 - iter 1060/2650 - loss 0.02641078 - time (sec): 71.85 - samples/sec: 8137.50 - lr: 0.025000
2023-04-05 18:25:15,899 epoch 127 - iter 1325/2650 - loss 0.02659799 - time (sec): 89.95 - samples/sec: 8132.92 - lr: 0.025000
2023-04-05 18:25:34,091 epoch 127 - iter 1590/2650 - loss 0.02642112 - time (sec): 108.14 - samples/sec: 8117.76 - lr: 0.025000
2023-04-05 18:25:52,429 epoch 127 - iter 1855/2650 - loss 0.02631653 - time (sec): 126.48 - samples/sec: 8082.91 - lr: 0.025000
2023-04-05 18:26:09,923 epoch 127 - iter 2120/2650 - loss 0.02671297 - time (sec): 143.97 - samples/sec: 8118.67 - lr: 0.025000
2023-04-05 18:26:28,596 epoch 127 - iter 2385/2650 - loss 0.02673630 - time (sec): 162.65 - samples/sec: 8094.58 - lr: 0.025000
2023-04-05 18:26:46,386 epoch 127 - iter 2650/2650 - loss 0.02666838 - time (sec): 180.44 - samples/sec: 8104.60 - lr: 0.025000
2023-04-05 18:26:46,386 ----------------------------------------------------------------------------------------------------
2023-04-05 18:26:46,386 EPOCH 127 done: loss 0.0267 - lr 0.025000
2023-04-05 18:26:46,386 BAD EPOCHS (no improvement): 0
2023-04-05 18:26:46,389 ----------------------------------------------------------------------------------------------------
2023-04-05 18:27:04,545 epoch 128 - iter 265/2650 - loss 0.02412791 - time (sec): 18.16 - samples/sec: 8044.88 - lr: 0.025000
2023-04-05 18:27:22,336 epoch 128 - iter 530/2650 - loss 0.02502421 - time (sec): 35.95 - samples/sec: 8110.52 - lr: 0.025000
2023-04-05 18:27:40,316 epoch 128 - iter 795/2650 - loss 0.02520468 - time (sec): 53.93 - samples/sec: 8109.96 - lr: 0.025000
2023-04-05 18:27:58,198 epoch 128 - iter 1060/2650 - loss 0.02520594 - time (sec): 71.81 - samples/sec: 8109.33 - lr: 0.025000
2023-04-05 18:28:16,257 epoch 128 - iter 1325/2650 - loss 0.02561542 - time (sec): 89.87 - samples/sec: 8103.85 - lr: 0.025000
2023-04-05 18:28:34,483 epoch 128 - iter 1590/2650 - loss 0.02578441 - time (sec): 108.09 - samples/sec: 8114.48 - lr: 0.025000
2023-04-05 18:28:52,283 epoch 128 - iter 1855/2650 - loss 0.02590230 - time (sec): 125.89 - samples/sec: 8132.03 - lr: 0.025000
2023-04-05 18:29:10,642 epoch 128 - iter 2120/2650 - loss 0.02594621 - time (sec): 144.25 - samples/sec: 8113.66 - lr: 0.025000
2023-04-05 18:29:29,329 epoch 128 - iter 2385/2650 - loss 0.02609275 - time (sec): 162.94 - samples/sec: 8082.30 - lr: 0.025000
2023-04-05 18:29:47,240 epoch 128 - iter 2650/2650 - loss 0.02602075 - time (sec): 180.85 - samples/sec: 8086.00 - lr: 0.025000
2023-04-05 18:29:47,240 ----------------------------------------------------------------------------------------------------
2023-04-05 18:29:47,240 EPOCH 128 done: loss 0.0260 - lr 0.025000
2023-04-05 18:29:47,240 BAD EPOCHS (no improvement): 0
2023-04-05 18:29:47,243 ----------------------------------------------------------------------------------------------------
2023-04-05 18:30:05,301 epoch 129 - iter 265/2650 - loss 0.02599109 - time (sec): 18.06 - samples/sec: 8057.80 - lr: 0.025000
2023-04-05 18:30:23,450 epoch 129 - iter 530/2650 - loss 0.02568471 - time (sec): 36.21 - samples/sec: 8078.19 - lr: 0.025000
2023-04-05 18:30:41,825 epoch 129 - iter 795/2650 - loss 0.02573009 - time (sec): 54.58 - samples/sec: 8064.00 - lr: 0.025000
2023-04-05 18:30:59,623 epoch 129 - iter 1060/2650 - loss 0.02565556 - time (sec): 72.38 - samples/sec: 8097.86 - lr: 0.025000
2023-04-05 18:31:17,486 epoch 129 - iter 1325/2650 - loss 0.02562216 - time (sec): 90.24 - samples/sec: 8121.02 - lr: 0.025000
2023-04-05 18:31:35,724 epoch 129 - iter 1590/2650 - loss 0.02580308 - time (sec): 108.48 - samples/sec: 8100.41 - lr: 0.025000
2023-04-05 18:31:53,367 epoch 129 - iter 1855/2650 - loss 0.02569281 - time (sec): 126.12 - samples/sec: 8120.27 - lr: 0.025000
2023-04-05 18:32:11,432 epoch 129 - iter 2120/2650 - loss 0.02567842 - time (sec): 144.19 - samples/sec: 8118.51 - lr: 0.025000
2023-04-05 18:32:29,931 epoch 129 - iter 2385/2650 - loss 0.02578080 - time (sec): 162.69 - samples/sec: 8100.37 - lr: 0.025000
2023-04-05 18:32:47,669 epoch 129 - iter 2650/2650 - loss 0.02577547 - time (sec): 180.43 - samples/sec: 8105.10 - lr: 0.025000
2023-04-05 18:32:47,669 ----------------------------------------------------------------------------------------------------
2023-04-05 18:32:47,669 EPOCH 129 done: loss 0.0258 - lr 0.025000
2023-04-05 18:32:47,669 BAD EPOCHS (no improvement): 0
2023-04-05 18:32:47,672 ----------------------------------------------------------------------------------------------------
2023-04-05 18:33:05,245 epoch 130 - iter 265/2650 - loss 0.02528774 - time (sec): 17.57 - samples/sec: 8226.61 - lr: 0.025000
2023-04-05 18:33:23,181 epoch 130 - iter 530/2650 - loss 0.02555078 - time (sec): 35.51 - samples/sec: 8164.82 - lr: 0.025000
2023-04-05 18:33:41,509 epoch 130 - iter 795/2650 - loss 0.02556368 - time (sec): 53.84 - samples/sec: 8121.08 - lr: 0.025000
2023-04-05 18:33:59,638 epoch 130 - iter 1060/2650 - loss 0.02543156 - time (sec): 71.97 - samples/sec: 8108.15 - lr: 0.025000
2023-04-05 18:34:17,418 epoch 130 - iter 1325/2650 - loss 0.02524260 - time (sec): 89.75 - samples/sec: 8125.58 - lr: 0.025000
2023-04-05 18:34:35,441 epoch 130 - iter 1590/2650 - loss 0.02543936 - time (sec): 107.77 - samples/sec: 8115.60 - lr: 0.025000
2023-04-05 18:34:54,136 epoch 130 - iter 1855/2650 - loss 0.02541993 - time (sec): 126.46 - samples/sec: 8068.61 - lr: 0.025000
2023-04-05 18:35:11,934 epoch 130 - iter 2120/2650 - loss 0.02546932 - time (sec): 144.26 - samples/sec: 8092.56 - lr: 0.025000
2023-04-05 18:35:30,360 epoch 130 - iter 2385/2650 - loss 0.02556265 - time (sec): 162.69 - samples/sec: 8093.32 - lr: 0.025000
2023-04-05 18:35:48,956 epoch 130 - iter 2650/2650 - loss 0.02549351 - time (sec): 181.28 - samples/sec: 8066.71 - lr: 0.025000
2023-04-05 18:35:48,956 ----------------------------------------------------------------------------------------------------
2023-04-05 18:35:48,956 EPOCH 130 done: loss 0.0255 - lr 0.025000
2023-04-05 18:35:48,956 BAD EPOCHS (no improvement): 0
2023-04-05 18:35:48,960 ----------------------------------------------------------------------------------------------------
2023-04-05 18:36:07,150 epoch 131 - iter 265/2650 - loss 0.02608488 - time (sec): 18.19 - samples/sec: 8105.90 - lr: 0.025000
2023-04-05 18:36:25,121 epoch 131 - iter 530/2650 - loss 0.02592117 - time (sec): 36.16 - samples/sec: 8114.69 - lr: 0.025000
2023-04-05 18:36:43,282 epoch 131 - iter 795/2650 - loss 0.02565652 - time (sec): 54.32 - samples/sec: 8095.02 - lr: 0.025000
2023-04-05 18:37:01,694 epoch 131 - iter 1060/2650 - loss 0.02521483 - time (sec): 72.73 - samples/sec: 8050.09 - lr: 0.025000
2023-04-05 18:37:19,685 epoch 131 - iter 1325/2650 - loss 0.02528238 - time (sec): 90.73 - samples/sec: 8072.91 - lr: 0.025000
2023-04-05 18:37:36,943 epoch 131 - iter 1590/2650 - loss 0.02539675 - time (sec): 107.98 - samples/sec: 8115.78 - lr: 0.025000
2023-04-05 18:37:55,368 epoch 131 - iter 1855/2650 - loss 0.02575196 - time (sec): 126.41 - samples/sec: 8093.75 - lr: 0.025000
2023-04-05 18:38:14,038 epoch 131 - iter 2120/2650 - loss 0.02567297 - time (sec): 145.08 - samples/sec: 8079.90 - lr: 0.025000
2023-04-05 18:38:31,621 epoch 131 - iter 2385/2650 - loss 0.02557674 - time (sec): 162.66 - samples/sec: 8092.37 - lr: 0.025000
2023-04-05 18:38:49,363 epoch 131 - iter 2650/2650 - loss 0.02547960 - time (sec): 180.40 - samples/sec: 8106.08 - lr: 0.025000
2023-04-05 18:38:49,363 ----------------------------------------------------------------------------------------------------
2023-04-05 18:38:49,363 EPOCH 131 done: loss 0.0255 - lr 0.025000
2023-04-05 18:38:49,363 BAD EPOCHS (no improvement): 0
2023-04-05 18:38:49,367 ----------------------------------------------------------------------------------------------------
2023-04-05 18:39:07,158 epoch 132 - iter 265/2650 - loss 0.02526280 - time (sec): 17.79 - samples/sec: 8194.92 - lr: 0.025000
2023-04-05 18:39:25,817 epoch 132 - iter 530/2650 - loss 0.02516201 - time (sec): 36.45 - samples/sec: 8006.02 - lr: 0.025000
2023-04-05 18:39:43,388 epoch 132 - iter 795/2650 - loss 0.02544962 - time (sec): 54.02 - samples/sec: 8093.13 - lr: 0.025000
2023-04-05 18:40:02,160 epoch 132 - iter 1060/2650 - loss 0.02532481 - time (sec): 72.79 - samples/sec: 8018.78 - lr: 0.025000
2023-04-05 18:40:19,739 epoch 132 - iter 1325/2650 - loss 0.02540267 - time (sec): 90.37 - samples/sec: 8060.62 - lr: 0.025000
2023-04-05 18:40:37,563 epoch 132 - iter 1590/2650 - loss 0.02537736 - time (sec): 108.20 - samples/sec: 8078.10 - lr: 0.025000
2023-04-05 18:40:55,639 epoch 132 - iter 1855/2650 - loss 0.02509043 - time (sec): 126.27 - samples/sec: 8084.14 - lr: 0.025000
2023-04-05 18:41:14,162 epoch 132 - iter 2120/2650 - loss 0.02525964 - time (sec): 144.80 - samples/sec: 8064.46 - lr: 0.025000
2023-04-05 18:41:32,126 epoch 132 - iter 2385/2650 - loss 0.02515181 - time (sec): 162.76 - samples/sec: 8077.11 - lr: 0.025000
2023-04-05 18:41:50,361 epoch 132 - iter 2650/2650 - loss 0.02518512 - time (sec): 180.99 - samples/sec: 8079.59 - lr: 0.025000
2023-04-05 18:41:50,362 ----------------------------------------------------------------------------------------------------
2023-04-05 18:41:50,362 EPOCH 132 done: loss 0.0252 - lr 0.025000
2023-04-05 18:41:50,362 BAD EPOCHS (no improvement): 0
2023-04-05 18:41:50,364 ----------------------------------------------------------------------------------------------------
2023-04-05 18:42:08,079 epoch 133 - iter 265/2650 - loss 0.02498017 - time (sec): 17.71 - samples/sec: 8192.46 - lr: 0.025000
2023-04-05 18:42:26,186 epoch 133 - iter 530/2650 - loss 0.02482306 - time (sec): 35.82 - samples/sec: 8154.43 - lr: 0.025000
2023-04-05 18:42:44,410 epoch 133 - iter 795/2650 - loss 0.02476083 - time (sec): 54.05 - samples/sec: 8130.80 - lr: 0.025000
2023-04-05 18:43:02,463 epoch 133 - iter 1060/2650 - loss 0.02465676 - time (sec): 72.10 - samples/sec: 8120.65 - lr: 0.025000
2023-04-05 18:43:20,920 epoch 133 - iter 1325/2650 - loss 0.02487944 - time (sec): 90.56 - samples/sec: 8114.18 - lr: 0.025000
2023-04-05 18:43:39,893 epoch 133 - iter 1590/2650 - loss 0.02481255 - time (sec): 109.53 - samples/sec: 8046.64 - lr: 0.025000
2023-04-05 18:43:57,875 epoch 133 - iter 1855/2650 - loss 0.02495586 - time (sec): 127.51 - samples/sec: 8063.78 - lr: 0.025000
2023-04-05 18:44:15,914 epoch 133 - iter 2120/2650 - loss 0.02498226 - time (sec): 145.55 - samples/sec: 8061.77 - lr: 0.025000
2023-04-05 18:44:33,445 epoch 133 - iter 2385/2650 - loss 0.02507539 - time (sec): 163.08 - samples/sec: 8083.29 - lr: 0.025000
2023-04-05 18:44:51,359 epoch 133 - iter 2650/2650 - loss 0.02516142 - time (sec): 181.00 - samples/sec: 8079.58 - lr: 0.025000
2023-04-05 18:44:51,360 ----------------------------------------------------------------------------------------------------
2023-04-05 18:44:51,360 EPOCH 133 done: loss 0.0252 - lr 0.025000
2023-04-05 18:44:51,360 BAD EPOCHS (no improvement): 0
2023-04-05 18:44:51,362 ----------------------------------------------------------------------------------------------------
2023-04-05 18:45:09,180 epoch 134 - iter 265/2650 - loss 0.02457572 - time (sec): 17.82 - samples/sec: 8195.86 - lr: 0.025000
2023-04-05 18:45:26,963 epoch 134 - iter 530/2650 - loss 0.02485823 - time (sec): 35.60 - samples/sec: 8164.70 - lr: 0.025000
2023-04-05 18:45:45,696 epoch 134 - iter 795/2650 - loss 0.02513041 - time (sec): 54.33 - samples/sec: 8052.78 - lr: 0.025000
2023-04-05 18:46:03,480 epoch 134 - iter 1060/2650 - loss 0.02510502 - time (sec): 72.12 - samples/sec: 8103.35 - lr: 0.025000
2023-04-05 18:46:21,630 epoch 134 - iter 1325/2650 - loss 0.02523565 - time (sec): 90.27 - samples/sec: 8084.10 - lr: 0.025000
2023-04-05 18:46:40,241 epoch 134 - iter 1590/2650 - loss 0.02521900 - time (sec): 108.88 - samples/sec: 8049.50 - lr: 0.025000
2023-04-05 18:46:58,713 epoch 134 - iter 1855/2650 - loss 0.02514394 - time (sec): 127.35 - samples/sec: 8047.89 - lr: 0.025000
2023-04-05 18:47:16,347 epoch 134 - iter 2120/2650 - loss 0.02528172 - time (sec): 144.98 - samples/sec: 8072.89 - lr: 0.025000
2023-04-05 18:47:34,647 epoch 134 - iter 2385/2650 - loss 0.02521397 - time (sec): 163.29 - samples/sec: 8064.12 - lr: 0.025000
2023-04-05 18:47:52,426 epoch 134 - iter 2650/2650 - loss 0.02522383 - time (sec): 181.06 - samples/sec: 8076.50 - lr: 0.025000
2023-04-05 18:47:52,427 ----------------------------------------------------------------------------------------------------
2023-04-05 18:47:52,427 EPOCH 134 done: loss 0.0252 - lr 0.025000
2023-04-05 18:47:52,427 BAD EPOCHS (no improvement): 1
2023-04-05 18:47:52,430 ----------------------------------------------------------------------------------------------------
2023-04-05 18:48:10,428 epoch 135 - iter 265/2650 - loss 0.02515428 - time (sec): 18.00 - samples/sec: 8095.20 - lr: 0.025000
2023-04-05 18:48:29,028 epoch 135 - iter 530/2650 - loss 0.02531870 - time (sec): 36.60 - samples/sec: 7998.43 - lr: 0.025000
2023-04-05 18:48:46,930 epoch 135 - iter 795/2650 - loss 0.02561037 - time (sec): 54.50 - samples/sec: 8054.65 - lr: 0.025000
2023-04-05 18:49:05,052 epoch 135 - iter 1060/2650 - loss 0.02523012 - time (sec): 72.62 - samples/sec: 8048.76 - lr: 0.025000
2023-04-05 18:49:23,558 epoch 135 - iter 1325/2650 - loss 0.02496347 - time (sec): 91.13 - samples/sec: 8034.77 - lr: 0.025000
2023-04-05 18:49:41,199 epoch 135 - iter 1590/2650 - loss 0.02460371 - time (sec): 108.77 - samples/sec: 8078.41 - lr: 0.025000
2023-04-05 18:49:59,087 epoch 135 - iter 1855/2650 - loss 0.02464470 - time (sec): 126.66 - samples/sec: 8075.22 - lr: 0.025000
2023-04-05 18:50:17,197 epoch 135 - iter 2120/2650 - loss 0.02472300 - time (sec): 144.77 - samples/sec: 8076.81 - lr: 0.025000
2023-04-05 18:50:35,910 epoch 135 - iter 2385/2650 - loss 0.02477552 - time (sec): 163.48 - samples/sec: 8053.95 - lr: 0.025000
2023-04-05 18:50:54,175 epoch 135 - iter 2650/2650 - loss 0.02486079 - time (sec): 181.74 - samples/sec: 8046.24 - lr: 0.025000
2023-04-05 18:50:54,175 ----------------------------------------------------------------------------------------------------
2023-04-05 18:50:54,176 EPOCH 135 done: loss 0.0249 - lr 0.025000
2023-04-05 18:50:54,176 BAD EPOCHS (no improvement): 0
2023-04-05 18:50:54,179 ----------------------------------------------------------------------------------------------------
2023-04-05 18:51:12,065 epoch 136 - iter 265/2650 - loss 0.02542377 - time (sec): 17.89 - samples/sec: 8123.12 - lr: 0.025000
2023-04-05 18:51:30,200 epoch 136 - iter 530/2650 - loss 0.02492437 - time (sec): 36.02 - samples/sec: 8096.11 - lr: 0.025000
2023-04-05 18:51:48,768 epoch 136 - iter 795/2650 - loss 0.02484104 - time (sec): 54.59 - samples/sec: 8012.81 - lr: 0.025000
2023-04-05 18:52:07,516 epoch 136 - iter 1060/2650 - loss 0.02467132 - time (sec): 73.34 - samples/sec: 7977.27 - lr: 0.025000
2023-04-05 18:52:25,740 epoch 136 - iter 1325/2650 - loss 0.02459426 - time (sec): 91.56 - samples/sec: 7994.65 - lr: 0.025000
2023-04-05 18:52:43,831 epoch 136 - iter 1590/2650 - loss 0.02470621 - time (sec): 109.65 - samples/sec: 8009.86 - lr: 0.025000
2023-04-05 18:53:01,805 epoch 136 - iter 1855/2650 - loss 0.02471586 - time (sec): 127.63 - samples/sec: 8035.97 - lr: 0.025000
2023-04-05 18:53:19,584 epoch 136 - iter 2120/2650 - loss 0.02474584 - time (sec): 145.40 - samples/sec: 8050.40 - lr: 0.025000
2023-04-05 18:53:36,996 epoch 136 - iter 2385/2650 - loss 0.02472729 - time (sec): 162.82 - samples/sec: 8081.92 - lr: 0.025000
2023-04-05 18:53:55,198 epoch 136 - iter 2650/2650 - loss 0.02484105 - time (sec): 181.02 - samples/sec: 8078.51 - lr: 0.025000
2023-04-05 18:53:55,199 ----------------------------------------------------------------------------------------------------
2023-04-05 18:53:55,199 EPOCH 136 done: loss 0.0248 - lr 0.025000
2023-04-05 18:53:55,199 BAD EPOCHS (no improvement): 0
2023-04-05 18:53:55,201 ----------------------------------------------------------------------------------------------------
2023-04-05 18:54:23,011 epoch 137 - iter 265/2650 - loss 0.02398522 - time (sec): 27.81 - samples/sec: 5222.81 - lr: 0.025000
2023-04-05 18:54:40,759 epoch 137 - iter 530/2650 - loss 0.02461934 - time (sec): 45.56 - samples/sec: 6351.79 - lr: 0.025000
2023-04-05 18:54:59,275 epoch 137 - iter 795/2650 - loss 0.02487058 - time (sec): 64.07 - samples/sec: 6796.59 - lr: 0.025000
2023-04-05 18:55:17,239 epoch 137 - iter 1060/2650 - loss 0.02473141 - time (sec): 82.04 - samples/sec: 7076.98 - lr: 0.025000
2023-04-05 18:55:35,673 epoch 137 - iter 1325/2650 - loss 0.02483518 - time (sec): 100.47 - samples/sec: 7252.10 - lr: 0.025000
2023-04-05 18:55:53,974 epoch 137 - iter 1590/2650 - loss 0.02484433 - time (sec): 118.77 - samples/sec: 7357.59 - lr: 0.025000
2023-04-05 18:56:12,103 epoch 137 - iter 1855/2650 - loss 0.02487423 - time (sec): 136.90 - samples/sec: 7455.37 - lr: 0.025000
2023-04-05 18:56:30,340 epoch 137 - iter 2120/2650 - loss 0.02488445 - time (sec): 155.14 - samples/sec: 7530.51 - lr: 0.025000
2023-04-05 18:56:48,822 epoch 137 - iter 2385/2650 - loss 0.02495899 - time (sec): 173.62 - samples/sec: 7583.64 - lr: 0.025000
2023-04-05 18:57:06,421 epoch 137 - iter 2650/2650 - loss 0.02475853 - time (sec): 191.22 - samples/sec: 7647.57 - lr: 0.025000
2023-04-05 18:57:06,421 ----------------------------------------------------------------------------------------------------
2023-04-05 18:57:06,421 EPOCH 137 done: loss 0.0248 - lr 0.025000
2023-04-05 18:57:06,421 BAD EPOCHS (no improvement): 0
2023-04-05 18:57:06,424 ----------------------------------------------------------------------------------------------------
2023-04-05 18:57:24,169 epoch 138 - iter 265/2650 - loss 0.02427945 - time (sec): 17.74 - samples/sec: 8182.15 - lr: 0.025000
2023-04-05 18:57:42,079 epoch 138 - iter 530/2650 - loss 0.02408522 - time (sec): 35.65 - samples/sec: 8182.47 - lr: 0.025000
2023-04-05 18:58:00,683 epoch 138 - iter 795/2650 - loss 0.02429837 - time (sec): 54.26 - samples/sec: 8095.01 - lr: 0.025000
2023-04-05 18:58:18,995 epoch 138 - iter 1060/2650 - loss 0.02453084 - time (sec): 72.57 - samples/sec: 8088.43 - lr: 0.025000
2023-04-05 18:58:37,225 epoch 138 - iter 1325/2650 - loss 0.02460430 - time (sec): 90.80 - samples/sec: 8091.10 - lr: 0.025000
2023-04-05 18:58:55,469 epoch 138 - iter 1590/2650 - loss 0.02465567 - time (sec): 109.04 - samples/sec: 8066.84 - lr: 0.025000
2023-04-05 18:59:14,097 epoch 138 - iter 1855/2650 - loss 0.02449791 - time (sec): 127.67 - samples/sec: 8039.58 - lr: 0.025000
2023-04-05 18:59:31,986 epoch 138 - iter 2120/2650 - loss 0.02465562 - time (sec): 145.56 - samples/sec: 8047.63 - lr: 0.025000
2023-04-05 18:59:50,040 epoch 138 - iter 2385/2650 - loss 0.02467509 - time (sec): 163.62 - samples/sec: 8057.35 - lr: 0.025000
2023-04-05 19:00:08,105 epoch 138 - iter 2650/2650 - loss 0.02464871 - time (sec): 181.68 - samples/sec: 8049.10 - lr: 0.025000
2023-04-05 19:00:08,105 ----------------------------------------------------------------------------------------------------
2023-04-05 19:00:08,105 EPOCH 138 done: loss 0.0246 - lr 0.025000
2023-04-05 19:00:08,105 BAD EPOCHS (no improvement): 0
2023-04-05 19:00:08,108 ----------------------------------------------------------------------------------------------------
2023-04-05 19:00:26,236 epoch 139 - iter 265/2650 - loss 0.02498530 - time (sec): 18.13 - samples/sec: 8137.63 - lr: 0.025000
2023-04-05 19:00:44,097 epoch 139 - iter 530/2650 - loss 0.02449827 - time (sec): 35.99 - samples/sec: 8111.14 - lr: 0.025000
2023-04-05 19:01:02,511 epoch 139 - iter 795/2650 - loss 0.02468473 - time (sec): 54.40 - samples/sec: 8045.64 - lr: 0.025000
2023-04-05 19:01:20,505 epoch 139 - iter 1060/2650 - loss 0.02480890 - time (sec): 72.40 - samples/sec: 8049.98 - lr: 0.025000
2023-04-05 19:01:38,334 epoch 139 - iter 1325/2650 - loss 0.02472212 - time (sec): 90.23 - samples/sec: 8067.88 - lr: 0.025000
2023-04-05 19:01:56,483 epoch 139 - iter 1590/2650 - loss 0.02469157 - time (sec): 108.37 - samples/sec: 8079.40 - lr: 0.025000
2023-04-05 19:02:14,516 epoch 139 - iter 1855/2650 - loss 0.02451259 - time (sec): 126.41 - samples/sec: 8075.07 - lr: 0.025000
2023-04-05 19:02:32,774 epoch 139 - iter 2120/2650 - loss 0.02435786 - time (sec): 144.67 - samples/sec: 8082.15 - lr: 0.025000
2023-04-05 19:02:51,171 epoch 139 - iter 2385/2650 - loss 0.02432947 - time (sec): 163.06 - samples/sec: 8070.10 - lr: 0.025000
2023-04-05 19:03:09,791 epoch 139 - iter 2650/2650 - loss 0.02436687 - time (sec): 181.68 - samples/sec: 8048.98 - lr: 0.025000
2023-04-05 19:03:09,792 ----------------------------------------------------------------------------------------------------
2023-04-05 19:03:09,792 EPOCH 139 done: loss 0.0244 - lr 0.025000
2023-04-05 19:03:09,792 BAD EPOCHS (no improvement): 0
2023-04-05 19:03:09,796 ----------------------------------------------------------------------------------------------------
2023-04-05 19:03:28,698 epoch 140 - iter 265/2650 - loss 0.02468503 - time (sec): 18.90 - samples/sec: 7808.15 - lr: 0.025000
2023-04-05 19:03:46,948 epoch 140 - iter 530/2650 - loss 0.02462389 - time (sec): 37.15 - samples/sec: 7936.13 - lr: 0.025000
2023-04-05 19:04:04,305 epoch 140 - iter 795/2650 - loss 0.02481561 - time (sec): 54.51 - samples/sec: 8076.94 - lr: 0.025000
2023-04-05 19:04:22,700 epoch 140 - iter 1060/2650 - loss 0.02483435 - time (sec): 72.90 - samples/sec: 8032.00 - lr: 0.025000
2023-04-05 19:04:40,447 epoch 140 - iter 1325/2650 - loss 0.02484754 - time (sec): 90.65 - samples/sec: 8074.66 - lr: 0.025000
2023-04-05 19:04:58,324 epoch 140 - iter 1590/2650 - loss 0.02484423 - time (sec): 108.53 - samples/sec: 8086.68 - lr: 0.025000
2023-04-05 19:05:16,532 epoch 140 - iter 1855/2650 - loss 0.02490814 - time (sec): 126.74 - samples/sec: 8076.81 - lr: 0.025000
2023-04-05 19:05:34,861 epoch 140 - iter 2120/2650 - loss 0.02484655 - time (sec): 145.07 - samples/sec: 8067.23 - lr: 0.025000
2023-04-05 19:05:52,734 epoch 140 - iter 2385/2650 - loss 0.02466221 - time (sec): 162.94 - samples/sec: 8077.24 - lr: 0.025000
2023-04-05 19:06:11,647 epoch 140 - iter 2650/2650 - loss 0.02472064 - time (sec): 181.85 - samples/sec: 8041.52 - lr: 0.025000
2023-04-05 19:06:11,648 ----------------------------------------------------------------------------------------------------
2023-04-05 19:06:11,648 EPOCH 140 done: loss 0.0247 - lr 0.025000
2023-04-05 19:06:11,648 BAD EPOCHS (no improvement): 1
2023-04-05 19:06:11,650 ----------------------------------------------------------------------------------------------------
2023-04-05 19:06:29,850 epoch 141 - iter 265/2650 - loss 0.02434420 - time (sec): 18.20 - samples/sec: 7988.83 - lr: 0.025000
2023-04-05 19:06:47,857 epoch 141 - iter 530/2650 - loss 0.02436066 - time (sec): 36.21 - samples/sec: 8069.81 - lr: 0.025000
2023-04-05 19:07:06,350 epoch 141 - iter 795/2650 - loss 0.02534629 - time (sec): 54.70 - samples/sec: 8014.54 - lr: 0.025000
2023-04-05 19:07:24,551 epoch 141 - iter 1060/2650 - loss 0.02502286 - time (sec): 72.90 - samples/sec: 8002.30 - lr: 0.025000
2023-04-05 19:07:42,712 epoch 141 - iter 1325/2650 - loss 0.02484554 - time (sec): 91.06 - samples/sec: 8006.66 - lr: 0.025000
2023-04-05 19:08:00,673 epoch 141 - iter 1590/2650 - loss 0.02475347 - time (sec): 109.02 - samples/sec: 8025.45 - lr: 0.025000
2023-04-05 19:08:18,701 epoch 141 - iter 1855/2650 - loss 0.02473113 - time (sec): 127.05 - samples/sec: 8041.95 - lr: 0.025000
2023-04-05 19:08:36,115 epoch 141 - iter 2120/2650 - loss 0.02461074 - time (sec): 144.46 - samples/sec: 8073.30 - lr: 0.025000
2023-04-05 19:08:54,495 epoch 141 - iter 2385/2650 - loss 0.02448703 - time (sec): 162.84 - samples/sec: 8074.58 - lr: 0.025000
2023-04-05 19:09:12,620 epoch 141 - iter 2650/2650 - loss 0.02465336 - time (sec): 180.97 - samples/sec: 8080.70 - lr: 0.025000
2023-04-05 19:09:12,620 ----------------------------------------------------------------------------------------------------
2023-04-05 19:09:12,621 EPOCH 141 done: loss 0.0247 - lr 0.025000
2023-04-05 19:09:12,621 BAD EPOCHS (no improvement): 2
2023-04-05 19:09:12,624 ----------------------------------------------------------------------------------------------------
2023-04-05 19:09:31,185 epoch 142 - iter 265/2650 - loss 0.02362361 - time (sec): 18.56 - samples/sec: 8028.65 - lr: 0.025000
2023-04-05 19:09:48,926 epoch 142 - iter 530/2650 - loss 0.02378519 - time (sec): 36.30 - samples/sec: 8099.60 - lr: 0.025000
2023-04-05 19:10:06,578 epoch 142 - iter 795/2650 - loss 0.02401617 - time (sec): 53.95 - samples/sec: 8137.17 - lr: 0.025000
2023-04-05 19:10:24,606 epoch 142 - iter 1060/2650 - loss 0.02395020 - time (sec): 71.98 - samples/sec: 8122.96 - lr: 0.025000
2023-04-05 19:10:42,478 epoch 142 - iter 1325/2650 - loss 0.02400259 - time (sec): 89.85 - samples/sec: 8128.14 - lr: 0.025000
2023-04-05 19:11:01,125 epoch 142 - iter 1590/2650 - loss 0.02427005 - time (sec): 108.50 - samples/sec: 8095.44 - lr: 0.025000
2023-04-05 19:11:19,552 epoch 142 - iter 1855/2650 - loss 0.02414302 - time (sec): 126.93 - samples/sec: 8080.23 - lr: 0.025000
2023-04-05 19:11:37,465 epoch 142 - iter 2120/2650 - loss 0.02406484 - time (sec): 144.84 - samples/sec: 8079.65 - lr: 0.025000
2023-04-05 19:11:55,717 epoch 142 - iter 2385/2650 - loss 0.02411731 - time (sec): 163.09 - samples/sec: 8076.86 - lr: 0.025000
2023-04-05 19:12:13,456 epoch 142 - iter 2650/2650 - loss 0.02409605 - time (sec): 180.83 - samples/sec: 8086.85 - lr: 0.025000
2023-04-05 19:12:13,456 ----------------------------------------------------------------------------------------------------
2023-04-05 19:12:13,457 EPOCH 142 done: loss 0.0241 - lr 0.025000
2023-04-05 19:12:13,457 BAD EPOCHS (no improvement): 0
2023-04-05 19:12:13,460 ----------------------------------------------------------------------------------------------------
2023-04-05 19:12:31,737 epoch 143 - iter 265/2650 - loss 0.02411463 - time (sec): 18.28 - samples/sec: 8048.46 - lr: 0.025000
2023-04-05 19:12:49,871 epoch 143 - iter 530/2650 - loss 0.02313879 - time (sec): 36.41 - samples/sec: 8041.93 - lr: 0.025000
2023-04-05 19:13:07,745 epoch 143 - iter 795/2650 - loss 0.02367285 - time (sec): 54.29 - samples/sec: 8089.07 - lr: 0.025000
2023-04-05 19:13:26,132 epoch 143 - iter 1060/2650 - loss 0.02351134 - time (sec): 72.67 - samples/sec: 8049.22 - lr: 0.025000
2023-04-05 19:13:44,378 epoch 143 - iter 1325/2650 - loss 0.02383040 - time (sec): 90.92 - samples/sec: 8038.09 - lr: 0.025000
2023-04-05 19:14:02,445 epoch 143 - iter 1590/2650 - loss 0.02373061 - time (sec): 108.99 - samples/sec: 8043.84 - lr: 0.025000
2023-04-05 19:14:21,387 epoch 143 - iter 1855/2650 - loss 0.02384253 - time (sec): 127.93 - samples/sec: 8011.47 - lr: 0.025000
2023-04-05 19:14:38,985 epoch 143 - iter 2120/2650 - loss 0.02401724 - time (sec): 145.53 - samples/sec: 8045.84 - lr: 0.025000
2023-04-05 19:14:56,902 epoch 143 - iter 2385/2650 - loss 0.02410497 - time (sec): 163.44 - samples/sec: 8058.34 - lr: 0.025000
2023-04-05 19:15:14,821 epoch 143 - iter 2650/2650 - loss 0.02415712 - time (sec): 181.36 - samples/sec: 8063.25 - lr: 0.025000
2023-04-05 19:15:14,821 ----------------------------------------------------------------------------------------------------
2023-04-05 19:15:14,822 EPOCH 143 done: loss 0.0242 - lr 0.025000
2023-04-05 19:15:14,822 BAD EPOCHS (no improvement): 1
2023-04-05 19:15:14,824 ----------------------------------------------------------------------------------------------------
2023-04-05 19:15:32,821 epoch 144 - iter 265/2650 - loss 0.02410146 - time (sec): 18.00 - samples/sec: 8222.39 - lr: 0.025000
2023-04-05 19:15:50,831 epoch 144 - iter 530/2650 - loss 0.02455104 - time (sec): 36.01 - samples/sec: 8176.79 - lr: 0.025000
2023-04-05 19:16:09,132 epoch 144 - iter 795/2650 - loss 0.02422497 - time (sec): 54.31 - samples/sec: 8110.35 - lr: 0.025000
2023-04-05 19:16:27,308 epoch 144 - iter 1060/2650 - loss 0.02412373 - time (sec): 72.48 - samples/sec: 8081.46 - lr: 0.025000
2023-04-05 19:16:45,473 epoch 144 - iter 1325/2650 - loss 0.02422841 - time (sec): 90.65 - samples/sec: 8077.44 - lr: 0.025000
2023-04-05 19:17:03,886 epoch 144 - iter 1590/2650 - loss 0.02431464 - time (sec): 109.06 - samples/sec: 8050.87 - lr: 0.025000
2023-04-05 19:17:22,166 epoch 144 - iter 1855/2650 - loss 0.02434347 - time (sec): 127.34 - samples/sec: 8049.13 - lr: 0.025000
2023-04-05 19:17:40,178 epoch 144 - iter 2120/2650 - loss 0.02414644 - time (sec): 145.35 - samples/sec: 8056.50 - lr: 0.025000
2023-04-05 19:17:58,238 epoch 144 - iter 2385/2650 - loss 0.02394313 - time (sec): 163.41 - samples/sec: 8059.74 - lr: 0.025000
2023-04-05 19:18:16,557 epoch 144 - iter 2650/2650 - loss 0.02403273 - time (sec): 181.73 - samples/sec: 8046.78 - lr: 0.025000
2023-04-05 19:18:16,557 ----------------------------------------------------------------------------------------------------
2023-04-05 19:18:16,557 EPOCH 144 done: loss 0.0240 - lr 0.025000
2023-04-05 19:18:16,557 BAD EPOCHS (no improvement): 0
2023-04-05 19:18:16,560 ----------------------------------------------------------------------------------------------------
2023-04-05 19:18:34,838 epoch 145 - iter 265/2650 - loss 0.02442818 - time (sec): 18.28 - samples/sec: 8112.38 - lr: 0.025000
2023-04-05 19:18:52,596 epoch 145 - iter 530/2650 - loss 0.02383093 - time (sec): 36.04 - samples/sec: 8136.39 - lr: 0.025000
2023-04-05 19:19:10,429 epoch 145 - iter 795/2650 - loss 0.02421364 - time (sec): 53.87 - samples/sec: 8128.87 - lr: 0.025000
2023-04-05 19:19:28,524 epoch 145 - iter 1060/2650 - loss 0.02416159 - time (sec): 71.96 - samples/sec: 8114.35 - lr: 0.025000
2023-04-05 19:19:46,600 epoch 145 - iter 1325/2650 - loss 0.02441926 - time (sec): 90.04 - samples/sec: 8105.17 - lr: 0.025000
2023-04-05 19:20:05,121 epoch 145 - iter 1590/2650 - loss 0.02465421 - time (sec): 108.56 - samples/sec: 8079.30 - lr: 0.025000
2023-04-05 19:20:23,180 epoch 145 - iter 1855/2650 - loss 0.02463703 - time (sec): 126.62 - samples/sec: 8065.80 - lr: 0.025000
2023-04-05 19:20:41,537 epoch 145 - iter 2120/2650 - loss 0.02446815 - time (sec): 144.98 - samples/sec: 8050.14 - lr: 0.025000
2023-04-05 19:20:59,386 epoch 145 - iter 2385/2650 - loss 0.02440793 - time (sec): 162.83 - samples/sec: 8075.16 - lr: 0.025000
2023-04-05 19:21:17,593 epoch 145 - iter 2650/2650 - loss 0.02449743 - time (sec): 181.03 - samples/sec: 8077.90 - lr: 0.025000
2023-04-05 19:21:17,593 ----------------------------------------------------------------------------------------------------
2023-04-05 19:21:17,593 EPOCH 145 done: loss 0.0245 - lr 0.025000
2023-04-05 19:21:17,593 BAD EPOCHS (no improvement): 1
2023-04-05 19:21:17,596 ----------------------------------------------------------------------------------------------------
2023-04-05 19:21:36,198 epoch 146 - iter 265/2650 - loss 0.02431475 - time (sec): 18.60 - samples/sec: 7808.35 - lr: 0.025000
2023-04-05 19:21:54,256 epoch 146 - iter 530/2650 - loss 0.02434228 - time (sec): 36.66 - samples/sec: 7943.37 - lr: 0.025000
2023-04-05 19:22:12,343 epoch 146 - iter 795/2650 - loss 0.02438686 - time (sec): 54.75 - samples/sec: 7987.82 - lr: 0.025000
2023-04-05 19:22:30,133 epoch 146 - iter 1060/2650 - loss 0.02486960 - time (sec): 72.54 - samples/sec: 8036.91 - lr: 0.025000
2023-04-05 19:22:48,709 epoch 146 - iter 1325/2650 - loss 0.02506781 - time (sec): 91.11 - samples/sec: 8028.05 - lr: 0.025000
2023-04-05 19:23:06,826 epoch 146 - iter 1590/2650 - loss 0.02497211 - time (sec): 109.23 - samples/sec: 8041.87 - lr: 0.025000
2023-04-05 19:23:24,616 epoch 146 - iter 1855/2650 - loss 0.02464985 - time (sec): 127.02 - samples/sec: 8060.30 - lr: 0.025000
2023-04-05 19:23:42,611 epoch 146 - iter 2120/2650 - loss 0.02469244 - time (sec): 145.02 - samples/sec: 8055.12 - lr: 0.025000
2023-04-05 19:24:01,182 epoch 146 - iter 2385/2650 - loss 0.02469925 - time (sec): 163.59 - samples/sec: 8046.52 - lr: 0.025000
2023-04-05 19:24:19,374 epoch 146 - iter 2650/2650 - loss 0.02460959 - time (sec): 181.78 - samples/sec: 8044.78 - lr: 0.025000
2023-04-05 19:24:19,374 ----------------------------------------------------------------------------------------------------
2023-04-05 19:24:19,375 EPOCH 146 done: loss 0.0246 - lr 0.025000
2023-04-05 19:24:19,375 BAD EPOCHS (no improvement): 2
2023-04-05 19:24:19,377 ----------------------------------------------------------------------------------------------------
2023-04-05 19:24:37,558 epoch 147 - iter 265/2650 - loss 0.02400175 - time (sec): 18.18 - samples/sec: 7974.29 - lr: 0.025000
2023-04-05 19:24:56,035 epoch 147 - iter 530/2650 - loss 0.02388287 - time (sec): 36.66 - samples/sec: 7999.78 - lr: 0.025000
2023-04-05 19:25:13,853 epoch 147 - iter 795/2650 - loss 0.02412332 - time (sec): 54.48 - samples/sec: 8084.05 - lr: 0.025000
2023-04-05 19:25:32,308 epoch 147 - iter 1060/2650 - loss 0.02419860 - time (sec): 72.93 - samples/sec: 8065.79 - lr: 0.025000
2023-04-05 19:25:49,659 epoch 147 - iter 1325/2650 - loss 0.02409351 - time (sec): 90.28 - samples/sec: 8120.00 - lr: 0.025000
2023-04-05 19:26:07,964 epoch 147 - iter 1590/2650 - loss 0.02417817 - time (sec): 108.59 - samples/sec: 8090.30 - lr: 0.025000
2023-04-05 19:26:25,776 epoch 147 - iter 1855/2650 - loss 0.02414995 - time (sec): 126.40 - samples/sec: 8094.92 - lr: 0.025000
2023-04-05 19:26:44,155 epoch 147 - iter 2120/2650 - loss 0.02396278 - time (sec): 144.78 - samples/sec: 8085.49 - lr: 0.025000
2023-04-05 19:27:02,337 epoch 147 - iter 2385/2650 - loss 0.02392168 - time (sec): 162.96 - samples/sec: 8082.09 - lr: 0.025000
2023-04-05 19:27:20,296 epoch 147 - iter 2650/2650 - loss 0.02396101 - time (sec): 180.92 - samples/sec: 8083.00 - lr: 0.025000
2023-04-05 19:27:20,296 ----------------------------------------------------------------------------------------------------
2023-04-05 19:27:20,296 EPOCH 147 done: loss 0.0240 - lr 0.025000
2023-04-05 19:27:20,296 BAD EPOCHS (no improvement): 0
2023-04-05 19:27:20,300 ----------------------------------------------------------------------------------------------------
2023-04-05 19:27:38,438 epoch 148 - iter 265/2650 - loss 0.02418173 - time (sec): 18.14 - samples/sec: 7986.80 - lr: 0.025000
2023-04-05 19:27:56,592 epoch 148 - iter 530/2650 - loss 0.02349866 - time (sec): 36.29 - samples/sec: 8047.67 - lr: 0.025000
2023-04-05 19:28:14,951 epoch 148 - iter 795/2650 - loss 0.02330397 - time (sec): 54.65 - samples/sec: 8029.85 - lr: 0.025000
2023-04-05 19:28:32,991 epoch 148 - iter 1060/2650 - loss 0.02358839 - time (sec): 72.69 - samples/sec: 8058.41 - lr: 0.025000
2023-04-05 19:28:51,226 epoch 148 - iter 1325/2650 - loss 0.02361168 - time (sec): 90.93 - samples/sec: 8045.44 - lr: 0.025000
2023-04-05 19:29:09,472 epoch 148 - iter 1590/2650 - loss 0.02360907 - time (sec): 109.17 - samples/sec: 8045.32 - lr: 0.025000
2023-04-05 19:29:27,565 epoch 148 - iter 1855/2650 - loss 0.02356411 - time (sec): 127.27 - samples/sec: 8060.23 - lr: 0.025000
2023-04-05 19:29:45,453 epoch 148 - iter 2120/2650 - loss 0.02376616 - time (sec): 145.15 - samples/sec: 8065.54 - lr: 0.025000
2023-04-05 19:30:03,188 epoch 148 - iter 2385/2650 - loss 0.02377001 - time (sec): 162.89 - samples/sec: 8078.36 - lr: 0.025000
2023-04-05 19:30:21,184 epoch 148 - iter 2650/2650 - loss 0.02383065 - time (sec): 180.88 - samples/sec: 8084.51 - lr: 0.025000
2023-04-05 19:30:21,185 ----------------------------------------------------------------------------------------------------
2023-04-05 19:30:21,185 EPOCH 148 done: loss 0.0238 - lr 0.025000
2023-04-05 19:30:21,185 BAD EPOCHS (no improvement): 0
2023-04-05 19:30:21,188 ----------------------------------------------------------------------------------------------------
2023-04-05 19:30:40,121 epoch 149 - iter 265/2650 - loss 0.02313986 - time (sec): 18.93 - samples/sec: 7805.65 - lr: 0.025000
2023-04-05 19:30:57,847 epoch 149 - iter 530/2650 - loss 0.02365756 - time (sec): 36.66 - samples/sec: 8013.59 - lr: 0.025000
2023-04-05 19:31:15,940 epoch 149 - iter 795/2650 - loss 0.02327459 - time (sec): 54.75 - samples/sec: 8040.37 - lr: 0.025000
2023-04-05 19:31:33,741 epoch 149 - iter 1060/2650 - loss 0.02334346 - time (sec): 72.55 - samples/sec: 8084.61 - lr: 0.025000
2023-04-05 19:31:51,559 epoch 149 - iter 1325/2650 - loss 0.02344555 - time (sec): 90.37 - samples/sec: 8109.15 - lr: 0.025000
2023-04-05 19:32:09,570 epoch 149 - iter 1590/2650 - loss 0.02343850 - time (sec): 108.38 - samples/sec: 8098.97 - lr: 0.025000
2023-04-05 19:32:27,913 epoch 149 - iter 1855/2650 - loss 0.02355669 - time (sec): 126.72 - samples/sec: 8073.23 - lr: 0.025000
2023-04-05 19:32:45,667 epoch 149 - iter 2120/2650 - loss 0.02369782 - time (sec): 144.48 - samples/sec: 8092.91 - lr: 0.025000
2023-04-05 19:33:03,716 epoch 149 - iter 2385/2650 - loss 0.02378899 - time (sec): 162.53 - samples/sec: 8095.20 - lr: 0.025000
2023-04-05 19:33:21,887 epoch 149 - iter 2650/2650 - loss 0.02373171 - time (sec): 180.70 - samples/sec: 8092.82 - lr: 0.025000
2023-04-05 19:33:21,888 ----------------------------------------------------------------------------------------------------
2023-04-05 19:33:21,888 EPOCH 149 done: loss 0.0237 - lr 0.025000
2023-04-05 19:33:21,888 BAD EPOCHS (no improvement): 0
2023-04-05 19:33:21,890 ----------------------------------------------------------------------------------------------------
2023-04-05 19:33:40,397 epoch 150 - iter 265/2650 - loss 0.02347371 - time (sec): 18.51 - samples/sec: 7834.20 - lr: 0.025000
2023-04-05 19:33:58,754 epoch 150 - iter 530/2650 - loss 0.02398713 - time (sec): 36.86 - samples/sec: 7919.38 - lr: 0.025000
2023-04-05 19:34:16,630 epoch 150 - iter 795/2650 - loss 0.02438037 - time (sec): 54.74 - samples/sec: 7977.22 - lr: 0.025000
2023-04-05 19:34:34,610 epoch 150 - iter 1060/2650 - loss 0.02401428 - time (sec): 72.72 - samples/sec: 8049.51 - lr: 0.025000
2023-04-05 19:34:52,586 epoch 150 - iter 1325/2650 - loss 0.02413249 - time (sec): 90.70 - samples/sec: 8064.24 - lr: 0.025000
2023-04-05 19:35:10,727 epoch 150 - iter 1590/2650 - loss 0.02403333 - time (sec): 108.84 - samples/sec: 8068.75 - lr: 0.025000
2023-04-05 19:35:28,366 epoch 150 - iter 1855/2650 - loss 0.02412605 - time (sec): 126.48 - samples/sec: 8096.08 - lr: 0.025000
2023-04-05 19:35:46,102 epoch 150 - iter 2120/2650 - loss 0.02405604 - time (sec): 144.21 - samples/sec: 8119.56 - lr: 0.025000
2023-04-05 19:36:04,620 epoch 150 - iter 2385/2650 - loss 0.02408298 - time (sec): 162.73 - samples/sec: 8087.23 - lr: 0.025000
2023-04-05 19:36:22,702 epoch 150 - iter 2650/2650 - loss 0.02414957 - time (sec): 180.81 - samples/sec: 8087.77 - lr: 0.025000
2023-04-05 19:36:22,702 ----------------------------------------------------------------------------------------------------
2023-04-05 19:36:22,702 EPOCH 150 done: loss 0.0241 - lr 0.025000
2023-04-05 19:36:22,702 BAD EPOCHS (no improvement): 1
2023-04-05 19:36:28,915 ----------------------------------------------------------------------------------------------------
2023-04-05 19:36:28,915 Testing using last state of model ...
2023-04-05 19:36:57,391 Evaluating as a multi-label problem: False
2023-04-05 19:36:57,456 0.8903 0.8874 0.8888 0.8192
2023-04-05 19:36:57,457
Results:
- F-score (micro) 0.8888
- F-score (macro) 0.7945
- Accuracy 0.8192
By class:
precision recall f1-score support
GPE 0.9642 0.9491 0.9566 2240
PERSON 0.9391 0.9386 0.9389 1988
ORG 0.8833 0.8897 0.8865 1795
DATE 0.8519 0.8727 0.8622 1602
CARDINAL 0.8605 0.8310 0.8455 935
NORP 0.9318 0.9429 0.9374 841
PERCENT 0.8879 0.8854 0.8867 349
MONEY 0.8790 0.8790 0.8790 314
TIME 0.6484 0.6698 0.6589 212
ORDINAL 0.7933 0.8462 0.8189 195
LOC 0.7717 0.7933 0.7824 179
WORK_OF_ART 0.6323 0.5904 0.6106 166
FAC 0.7719 0.6519 0.7068 135
QUANTITY 0.7679 0.8190 0.7926 105
PRODUCT 0.7246 0.6579 0.6897 76
EVENT 0.7143 0.6349 0.6723 63
LAW 0.7097 0.5500 0.6197 40
LANGUAGE 0.9333 0.6364 0.7568 22
micro avg 0.8903 0.8874 0.8888 11257
macro avg 0.8147 0.7799 0.7945 11257
weighted avg 0.8901 0.8874 0.8885 11257
2023-04-05 19:36:57,457 ----------------------------------------------------------------------------------------------------
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