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2023-04-05 12:15:41,426 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:41,426 Model: "SequenceTagger(
(embeddings): StackedEmbeddings(
(list_embedding_0): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.25, inplace=False)
(encoder): Embedding(275, 100)
(rnn): LSTM(100, 1024)
)
)
(list_embedding_1): 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=2048, out_features=2048, bias=True)
(rnn): LSTM(2048, 256, batch_first=True, bidirectional=True)
(linear): Linear(in_features=512, out_features=47, bias=True)
(loss_function): ViterbiLoss()
(crf): CRF()
)"
2023-04-05 12:15:41,426 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:41,426 Corpus: "Corpus: 8042 train + 894 dev + 2012 test sentences"
2023-04-05 12:15:41,426 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:41,426 Parameters:
2023-04-05 12:15:41,426 - learning_rate: "0.100000"
2023-04-05 12:15:41,426 - mini_batch_size: "32"
2023-04-05 12:15:41,426 - patience: "3"
2023-04-05 12:15:41,426 - anneal_factor: "0.5"
2023-04-05 12:15:41,426 - max_epochs: "150"
2023-04-05 12:15:41,426 - shuffle: "True"
2023-04-05 12:15:41,426 - train_with_dev: "True"
2023-04-05 12:15:41,426 - batch_growth_annealing: "False"
2023-04-05 12:15:41,426 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:41,426 Model training base path: "resources/taggers/release-chunk-fast-0"
2023-04-05 12:15:41,426 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:41,426 Device: cuda:3
2023-04-05 12:15:41,426 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:41,426 Embeddings storage mode: cpu
2023-04-05 12:15:41,426 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:43,675 epoch 1 - iter 28/280 - loss 2.61207238 - time (sec): 2.25 - samples/sec: 9432.10 - lr: 0.100000
2023-04-05 12:15:46,061 epoch 1 - iter 56/280 - loss 1.94593489 - time (sec): 4.64 - samples/sec: 9229.64 - lr: 0.100000
2023-04-05 12:15:48,357 epoch 1 - iter 84/280 - loss 1.57079513 - time (sec): 6.93 - samples/sec: 9235.45 - lr: 0.100000
2023-04-05 12:15:50,678 epoch 1 - iter 112/280 - loss 1.33069635 - time (sec): 9.25 - samples/sec: 9168.15 - lr: 0.100000
2023-04-05 12:15:53,103 epoch 1 - iter 140/280 - loss 1.15472499 - time (sec): 11.68 - samples/sec: 9175.98 - lr: 0.100000
2023-04-05 12:15:55,423 epoch 1 - iter 168/280 - loss 1.03143520 - time (sec): 14.00 - samples/sec: 9156.46 - lr: 0.100000
2023-04-05 12:15:57,724 epoch 1 - iter 196/280 - loss 0.94335878 - time (sec): 16.30 - samples/sec: 9096.10 - lr: 0.100000
2023-04-05 12:16:00,025 epoch 1 - iter 224/280 - loss 0.86829593 - time (sec): 18.60 - samples/sec: 9132.85 - lr: 0.100000
2023-04-05 12:16:02,253 epoch 1 - iter 252/280 - loss 0.80824914 - time (sec): 20.83 - samples/sec: 9161.93 - lr: 0.100000
2023-04-05 12:16:04,615 epoch 1 - iter 280/280 - loss 0.75984990 - time (sec): 23.19 - samples/sec: 9129.26 - lr: 0.100000
2023-04-05 12:16:04,615 ----------------------------------------------------------------------------------------------------
2023-04-05 12:16:04,615 EPOCH 1 done: loss 0.7598 - lr 0.100000
2023-04-05 12:16:04,615 BAD EPOCHS (no improvement): 0
2023-04-05 12:16:04,617 ----------------------------------------------------------------------------------------------------
2023-04-05 12:16:06,190 epoch 2 - iter 28/280 - loss 0.29468788 - time (sec): 1.57 - samples/sec: 13209.87 - lr: 0.100000
2023-04-05 12:16:07,837 epoch 2 - iter 56/280 - loss 0.28450565 - time (sec): 3.22 - samples/sec: 13161.99 - lr: 0.100000
2023-04-05 12:16:09,476 epoch 2 - iter 84/280 - loss 0.28370317 - time (sec): 4.86 - samples/sec: 13130.36 - lr: 0.100000
2023-04-05 12:16:11,126 epoch 2 - iter 112/280 - loss 0.27574899 - time (sec): 6.51 - samples/sec: 13048.86 - lr: 0.100000
2023-04-05 12:16:12,796 epoch 2 - iter 140/280 - loss 0.26932822 - time (sec): 8.18 - samples/sec: 12975.43 - lr: 0.100000
2023-04-05 12:16:14,455 epoch 2 - iter 168/280 - loss 0.26229482 - time (sec): 9.84 - samples/sec: 12944.84 - lr: 0.100000
2023-04-05 12:16:16,132 epoch 2 - iter 196/280 - loss 0.25679876 - time (sec): 11.51 - samples/sec: 12927.48 - lr: 0.100000
2023-04-05 12:16:17,828 epoch 2 - iter 224/280 - loss 0.25295452 - time (sec): 13.21 - samples/sec: 12886.10 - lr: 0.100000
2023-04-05 12:16:19,447 epoch 2 - iter 252/280 - loss 0.24852139 - time (sec): 14.83 - samples/sec: 12877.36 - lr: 0.100000
2023-04-05 12:16:21,067 epoch 2 - iter 280/280 - loss 0.24461849 - time (sec): 16.45 - samples/sec: 12869.21 - lr: 0.100000
2023-04-05 12:16:21,067 ----------------------------------------------------------------------------------------------------
2023-04-05 12:16:21,067 EPOCH 2 done: loss 0.2446 - lr 0.100000
2023-04-05 12:16:21,067 BAD EPOCHS (no improvement): 0
2023-04-05 12:16:21,070 ----------------------------------------------------------------------------------------------------
2023-04-05 12:16:22,702 epoch 3 - iter 28/280 - loss 0.20118115 - time (sec): 1.63 - samples/sec: 12842.54 - lr: 0.100000
2023-04-05 12:16:24,352 epoch 3 - iter 56/280 - loss 0.19890021 - time (sec): 3.28 - samples/sec: 12757.73 - lr: 0.100000
2023-04-05 12:16:26,005 epoch 3 - iter 84/280 - loss 0.19828301 - time (sec): 4.94 - samples/sec: 12795.59 - lr: 0.100000
2023-04-05 12:16:27,685 epoch 3 - iter 112/280 - loss 0.19639972 - time (sec): 6.61 - samples/sec: 12768.62 - lr: 0.100000
2023-04-05 12:16:29,278 epoch 3 - iter 140/280 - loss 0.19318113 - time (sec): 8.21 - samples/sec: 12852.74 - lr: 0.100000
2023-04-05 12:16:30,903 epoch 3 - iter 168/280 - loss 0.19117785 - time (sec): 9.83 - samples/sec: 12915.58 - lr: 0.100000
2023-04-05 12:16:32,579 epoch 3 - iter 196/280 - loss 0.19013852 - time (sec): 11.51 - samples/sec: 12914.35 - lr: 0.100000
2023-04-05 12:16:34,196 epoch 3 - iter 224/280 - loss 0.18954525 - time (sec): 13.13 - samples/sec: 12933.32 - lr: 0.100000
2023-04-05 12:16:35,782 epoch 3 - iter 252/280 - loss 0.18801064 - time (sec): 14.71 - samples/sec: 12939.85 - lr: 0.100000
2023-04-05 12:16:37,422 epoch 3 - iter 280/280 - loss 0.18730431 - time (sec): 16.35 - samples/sec: 12945.81 - lr: 0.100000
2023-04-05 12:16:37,422 ----------------------------------------------------------------------------------------------------
2023-04-05 12:16:37,422 EPOCH 3 done: loss 0.1873 - lr 0.100000
2023-04-05 12:16:37,422 BAD EPOCHS (no improvement): 0
2023-04-05 12:16:37,425 ----------------------------------------------------------------------------------------------------
2023-04-05 12:16:39,032 epoch 4 - iter 28/280 - loss 0.17004429 - time (sec): 1.61 - samples/sec: 13286.24 - lr: 0.100000
2023-04-05 12:16:40,650 epoch 4 - iter 56/280 - loss 0.17081983 - time (sec): 3.23 - samples/sec: 13111.82 - lr: 0.100000
2023-04-05 12:16:42,278 epoch 4 - iter 84/280 - loss 0.16660648 - time (sec): 4.85 - samples/sec: 13143.82 - lr: 0.100000
2023-04-05 12:16:43,892 epoch 4 - iter 112/280 - loss 0.16561945 - time (sec): 6.47 - samples/sec: 13102.57 - lr: 0.100000
2023-04-05 12:16:45,540 epoch 4 - iter 140/280 - loss 0.16528859 - time (sec): 8.12 - samples/sec: 13067.56 - lr: 0.100000
2023-04-05 12:16:47,188 epoch 4 - iter 168/280 - loss 0.16449334 - time (sec): 9.76 - samples/sec: 13032.94 - lr: 0.100000
2023-04-05 12:16:48,814 epoch 4 - iter 196/280 - loss 0.16414345 - time (sec): 11.39 - samples/sec: 13038.01 - lr: 0.100000
2023-04-05 12:16:50,401 epoch 4 - iter 224/280 - loss 0.16271918 - time (sec): 12.98 - samples/sec: 13066.60 - lr: 0.100000
2023-04-05 12:16:52,043 epoch 4 - iter 252/280 - loss 0.16275596 - time (sec): 14.62 - samples/sec: 13079.72 - lr: 0.100000
2023-04-05 12:16:53,675 epoch 4 - iter 280/280 - loss 0.16268098 - time (sec): 16.25 - samples/sec: 13026.69 - lr: 0.100000
2023-04-05 12:16:53,675 ----------------------------------------------------------------------------------------------------
2023-04-05 12:16:53,676 EPOCH 4 done: loss 0.1627 - lr 0.100000
2023-04-05 12:16:53,676 BAD EPOCHS (no improvement): 0
2023-04-05 12:16:53,678 ----------------------------------------------------------------------------------------------------
2023-04-05 12:16:55,312 epoch 5 - iter 28/280 - loss 0.15395600 - time (sec): 1.63 - samples/sec: 12896.21 - lr: 0.100000
2023-04-05 12:16:56,973 epoch 5 - iter 56/280 - loss 0.14875620 - time (sec): 3.30 - samples/sec: 12925.50 - lr: 0.100000
2023-04-05 12:16:58,631 epoch 5 - iter 84/280 - loss 0.14817096 - time (sec): 4.95 - samples/sec: 12858.01 - lr: 0.100000
2023-04-05 12:17:00,271 epoch 5 - iter 112/280 - loss 0.14848042 - time (sec): 6.59 - samples/sec: 12859.60 - lr: 0.100000
2023-04-05 12:17:01,895 epoch 5 - iter 140/280 - loss 0.14876527 - time (sec): 8.22 - samples/sec: 12808.37 - lr: 0.100000
2023-04-05 12:17:03,555 epoch 5 - iter 168/280 - loss 0.14954716 - time (sec): 9.88 - samples/sec: 12838.95 - lr: 0.100000
2023-04-05 12:17:05,274 epoch 5 - iter 196/280 - loss 0.14866687 - time (sec): 11.60 - samples/sec: 12822.02 - lr: 0.100000
2023-04-05 12:17:06,926 epoch 5 - iter 224/280 - loss 0.14753103 - time (sec): 13.25 - samples/sec: 12813.54 - lr: 0.100000
2023-04-05 12:17:08,543 epoch 5 - iter 252/280 - loss 0.14650090 - time (sec): 14.87 - samples/sec: 12835.51 - lr: 0.100000
2023-04-05 12:17:10,155 epoch 5 - iter 280/280 - loss 0.14528625 - time (sec): 16.48 - samples/sec: 12847.62 - lr: 0.100000
2023-04-05 12:17:10,155 ----------------------------------------------------------------------------------------------------
2023-04-05 12:17:10,155 EPOCH 5 done: loss 0.1453 - lr 0.100000
2023-04-05 12:17:10,155 BAD EPOCHS (no improvement): 0
2023-04-05 12:17:10,158 ----------------------------------------------------------------------------------------------------
2023-04-05 12:17:11,783 epoch 6 - iter 28/280 - loss 0.13063542 - time (sec): 1.63 - samples/sec: 13223.98 - lr: 0.100000
2023-04-05 12:17:13,429 epoch 6 - iter 56/280 - loss 0.13291587 - time (sec): 3.27 - samples/sec: 13120.54 - lr: 0.100000
2023-04-05 12:17:15,049 epoch 6 - iter 84/280 - loss 0.13257218 - time (sec): 4.89 - samples/sec: 13155.88 - lr: 0.100000
2023-04-05 12:17:16,626 epoch 6 - iter 112/280 - loss 0.13077874 - time (sec): 6.47 - samples/sec: 13228.58 - lr: 0.100000
2023-04-05 12:17:18,280 epoch 6 - iter 140/280 - loss 0.13357453 - time (sec): 8.12 - samples/sec: 13132.99 - lr: 0.100000
2023-04-05 12:17:19,910 epoch 6 - iter 168/280 - loss 0.13431308 - time (sec): 9.75 - samples/sec: 13083.31 - lr: 0.100000
2023-04-05 12:17:21,565 epoch 6 - iter 196/280 - loss 0.13428262 - time (sec): 11.41 - samples/sec: 13066.78 - lr: 0.100000
2023-04-05 12:17:23,179 epoch 6 - iter 224/280 - loss 0.13343107 - time (sec): 13.02 - samples/sec: 13072.03 - lr: 0.100000
2023-04-05 12:17:24,866 epoch 6 - iter 252/280 - loss 0.13303334 - time (sec): 14.71 - samples/sec: 13007.35 - lr: 0.100000
2023-04-05 12:17:26,412 epoch 6 - iter 280/280 - loss 0.13302168 - time (sec): 16.25 - samples/sec: 13024.02 - lr: 0.100000
2023-04-05 12:17:26,412 ----------------------------------------------------------------------------------------------------
2023-04-05 12:17:26,412 EPOCH 6 done: loss 0.1330 - lr 0.100000
2023-04-05 12:17:26,412 BAD EPOCHS (no improvement): 0
2023-04-05 12:17:26,414 ----------------------------------------------------------------------------------------------------
2023-04-05 12:17:28,026 epoch 7 - iter 28/280 - loss 0.11780376 - time (sec): 1.61 - samples/sec: 13211.88 - lr: 0.100000
2023-04-05 12:17:29,623 epoch 7 - iter 56/280 - loss 0.12133753 - time (sec): 3.21 - samples/sec: 13156.97 - lr: 0.100000
2023-04-05 12:17:31,311 epoch 7 - iter 84/280 - loss 0.12147960 - time (sec): 4.90 - samples/sec: 13006.10 - lr: 0.100000
2023-04-05 12:17:32,980 epoch 7 - iter 112/280 - loss 0.12260647 - time (sec): 6.57 - samples/sec: 13003.39 - lr: 0.100000
2023-04-05 12:17:34,658 epoch 7 - iter 140/280 - loss 0.12248451 - time (sec): 8.24 - samples/sec: 12930.20 - lr: 0.100000
2023-04-05 12:17:36,289 epoch 7 - iter 168/280 - loss 0.12189738 - time (sec): 9.87 - samples/sec: 12882.52 - lr: 0.100000
2023-04-05 12:17:37,951 epoch 7 - iter 196/280 - loss 0.12235453 - time (sec): 11.54 - samples/sec: 12866.95 - lr: 0.100000
2023-04-05 12:17:39,634 epoch 7 - iter 224/280 - loss 0.12229419 - time (sec): 13.22 - samples/sec: 12858.27 - lr: 0.100000
2023-04-05 12:17:41,240 epoch 7 - iter 252/280 - loss 0.12190381 - time (sec): 14.83 - samples/sec: 12867.00 - lr: 0.100000
2023-04-05 12:17:42,833 epoch 7 - iter 280/280 - loss 0.12197531 - time (sec): 16.42 - samples/sec: 12893.35 - lr: 0.100000
2023-04-05 12:17:42,833 ----------------------------------------------------------------------------------------------------
2023-04-05 12:17:42,833 EPOCH 7 done: loss 0.1220 - lr 0.100000
2023-04-05 12:17:42,833 BAD EPOCHS (no improvement): 0
2023-04-05 12:17:42,836 ----------------------------------------------------------------------------------------------------
2023-04-05 12:17:44,519 epoch 8 - iter 28/280 - loss 0.10732726 - time (sec): 1.68 - samples/sec: 12904.95 - lr: 0.100000
2023-04-05 12:17:46,141 epoch 8 - iter 56/280 - loss 0.11201856 - time (sec): 3.30 - samples/sec: 13039.04 - lr: 0.100000
2023-04-05 12:17:47,790 epoch 8 - iter 84/280 - loss 0.11341491 - time (sec): 4.95 - samples/sec: 12942.23 - lr: 0.100000
2023-04-05 12:17:49,392 epoch 8 - iter 112/280 - loss 0.11469008 - time (sec): 6.56 - samples/sec: 12911.66 - lr: 0.100000
2023-04-05 12:17:51,025 epoch 8 - iter 140/280 - loss 0.11703059 - time (sec): 8.19 - samples/sec: 12894.72 - lr: 0.100000
2023-04-05 12:17:52,637 epoch 8 - iter 168/280 - loss 0.11646460 - time (sec): 9.80 - samples/sec: 12952.47 - lr: 0.100000
2023-04-05 12:17:54,311 epoch 8 - iter 196/280 - loss 0.11684671 - time (sec): 11.47 - samples/sec: 12935.79 - lr: 0.100000
2023-04-05 12:17:55,913 epoch 8 - iter 224/280 - loss 0.11617310 - time (sec): 13.08 - samples/sec: 12969.36 - lr: 0.100000
2023-04-05 12:17:57,552 epoch 8 - iter 252/280 - loss 0.11574136 - time (sec): 14.72 - samples/sec: 12979.35 - lr: 0.100000
2023-04-05 12:17:59,130 epoch 8 - iter 280/280 - loss 0.11595483 - time (sec): 16.29 - samples/sec: 12991.81 - lr: 0.100000
2023-04-05 12:17:59,131 ----------------------------------------------------------------------------------------------------
2023-04-05 12:17:59,131 EPOCH 8 done: loss 0.1160 - lr 0.100000
2023-04-05 12:17:59,131 BAD EPOCHS (no improvement): 0
2023-04-05 12:17:59,133 ----------------------------------------------------------------------------------------------------
2023-04-05 12:18:00,746 epoch 9 - iter 28/280 - loss 0.10951853 - time (sec): 1.61 - samples/sec: 13130.72 - lr: 0.100000
2023-04-05 12:18:02,366 epoch 9 - iter 56/280 - loss 0.10804849 - time (sec): 3.23 - samples/sec: 13105.29 - lr: 0.100000
2023-04-05 12:18:04,003 epoch 9 - iter 84/280 - loss 0.10775424 - time (sec): 4.87 - samples/sec: 13046.24 - lr: 0.100000
2023-04-05 12:18:05,675 epoch 9 - iter 112/280 - loss 0.10810703 - time (sec): 6.54 - samples/sec: 13000.66 - lr: 0.100000
2023-04-05 12:18:07,298 epoch 9 - iter 140/280 - loss 0.10823146 - time (sec): 8.16 - samples/sec: 13023.00 - lr: 0.100000
2023-04-05 12:18:08,938 epoch 9 - iter 168/280 - loss 0.10857210 - time (sec): 9.80 - samples/sec: 13008.30 - lr: 0.100000
2023-04-05 12:18:10,611 epoch 9 - iter 196/280 - loss 0.10815834 - time (sec): 11.48 - samples/sec: 12953.52 - lr: 0.100000
2023-04-05 12:18:12,257 epoch 9 - iter 224/280 - loss 0.10746476 - time (sec): 13.12 - samples/sec: 12947.51 - lr: 0.100000
2023-04-05 12:18:13,900 epoch 9 - iter 252/280 - loss 0.10894265 - time (sec): 14.77 - samples/sec: 12931.35 - lr: 0.100000
2023-04-05 12:18:15,556 epoch 9 - iter 280/280 - loss 0.10966965 - time (sec): 16.42 - samples/sec: 12889.93 - lr: 0.100000
2023-04-05 12:18:15,557 ----------------------------------------------------------------------------------------------------
2023-04-05 12:18:15,557 EPOCH 9 done: loss 0.1097 - lr 0.100000
2023-04-05 12:18:15,557 BAD EPOCHS (no improvement): 0
2023-04-05 12:18:15,559 ----------------------------------------------------------------------------------------------------
2023-04-05 12:18:17,146 epoch 10 - iter 28/280 - loss 0.11321707 - time (sec): 1.59 - samples/sec: 13073.11 - lr: 0.100000
2023-04-05 12:18:18,812 epoch 10 - iter 56/280 - loss 0.11227698 - time (sec): 3.25 - samples/sec: 12886.43 - lr: 0.100000
2023-04-05 12:18:20,455 epoch 10 - iter 84/280 - loss 0.10620978 - time (sec): 4.90 - samples/sec: 12830.73 - lr: 0.100000
2023-04-05 12:18:22,108 epoch 10 - iter 112/280 - loss 0.10602600 - time (sec): 6.55 - samples/sec: 12920.96 - lr: 0.100000
2023-04-05 12:18:23,734 epoch 10 - iter 140/280 - loss 0.10565924 - time (sec): 8.17 - samples/sec: 12957.09 - lr: 0.100000
2023-04-05 12:18:25,454 epoch 10 - iter 168/280 - loss 0.10671922 - time (sec): 9.89 - samples/sec: 12900.64 - lr: 0.100000
2023-04-05 12:18:27,071 epoch 10 - iter 196/280 - loss 0.10709482 - time (sec): 11.51 - samples/sec: 12920.12 - lr: 0.100000
2023-04-05 12:18:28,708 epoch 10 - iter 224/280 - loss 0.10684042 - time (sec): 13.15 - samples/sec: 12942.69 - lr: 0.100000
2023-04-05 12:18:30,304 epoch 10 - iter 252/280 - loss 0.10669981 - time (sec): 14.75 - samples/sec: 12970.78 - lr: 0.100000
2023-04-05 12:18:31,877 epoch 10 - iter 280/280 - loss 0.10575959 - time (sec): 16.32 - samples/sec: 12972.84 - lr: 0.100000
2023-04-05 12:18:31,878 ----------------------------------------------------------------------------------------------------
2023-04-05 12:18:31,878 EPOCH 10 done: loss 0.1058 - lr 0.100000
2023-04-05 12:18:31,878 BAD EPOCHS (no improvement): 0
2023-04-05 12:18:31,880 ----------------------------------------------------------------------------------------------------
2023-04-05 12:18:33,476 epoch 11 - iter 28/280 - loss 0.09826180 - time (sec): 1.60 - samples/sec: 12742.07 - lr: 0.100000
2023-04-05 12:18:35,064 epoch 11 - iter 56/280 - loss 0.10316063 - time (sec): 3.18 - samples/sec: 12887.01 - lr: 0.100000
2023-04-05 12:18:36,673 epoch 11 - iter 84/280 - loss 0.10287776 - time (sec): 4.79 - samples/sec: 12891.40 - lr: 0.100000
2023-04-05 12:18:38,305 epoch 11 - iter 112/280 - loss 0.10235511 - time (sec): 6.42 - samples/sec: 12953.51 - lr: 0.100000
2023-04-05 12:18:39,932 epoch 11 - iter 140/280 - loss 0.10257192 - time (sec): 8.05 - samples/sec: 12966.04 - lr: 0.100000
2023-04-05 12:18:41,555 epoch 11 - iter 168/280 - loss 0.10163312 - time (sec): 9.67 - samples/sec: 12977.03 - lr: 0.100000
2023-04-05 12:18:43,237 epoch 11 - iter 196/280 - loss 0.10171743 - time (sec): 11.36 - samples/sec: 12954.99 - lr: 0.100000
2023-04-05 12:18:44,897 epoch 11 - iter 224/280 - loss 0.10237126 - time (sec): 13.02 - samples/sec: 13001.05 - lr: 0.100000
2023-04-05 12:18:46,588 epoch 11 - iter 252/280 - loss 0.10187805 - time (sec): 14.71 - samples/sec: 12954.75 - lr: 0.100000
2023-04-05 12:18:48,262 epoch 11 - iter 280/280 - loss 0.10190351 - time (sec): 16.38 - samples/sec: 12922.19 - lr: 0.100000
2023-04-05 12:18:48,262 ----------------------------------------------------------------------------------------------------
2023-04-05 12:18:48,263 EPOCH 11 done: loss 0.1019 - lr 0.100000
2023-04-05 12:18:48,263 BAD EPOCHS (no improvement): 0
2023-04-05 12:18:48,265 ----------------------------------------------------------------------------------------------------
2023-04-05 12:18:49,925 epoch 12 - iter 28/280 - loss 0.10167713 - time (sec): 1.66 - samples/sec: 12877.69 - lr: 0.100000
2023-04-05 12:18:51,550 epoch 12 - iter 56/280 - loss 0.09626716 - time (sec): 3.28 - samples/sec: 12945.87 - lr: 0.100000
2023-04-05 12:18:53,190 epoch 12 - iter 84/280 - loss 0.09685572 - time (sec): 4.92 - samples/sec: 12974.97 - lr: 0.100000
2023-04-05 12:18:54,834 epoch 12 - iter 112/280 - loss 0.09598175 - time (sec): 6.57 - samples/sec: 12972.78 - lr: 0.100000
2023-04-05 12:18:56,475 epoch 12 - iter 140/280 - loss 0.09599434 - time (sec): 8.21 - samples/sec: 12973.96 - lr: 0.100000
2023-04-05 12:18:58,096 epoch 12 - iter 168/280 - loss 0.09500168 - time (sec): 9.83 - samples/sec: 12969.41 - lr: 0.100000
2023-04-05 12:18:59,729 epoch 12 - iter 196/280 - loss 0.09454570 - time (sec): 11.46 - samples/sec: 12960.24 - lr: 0.100000
2023-04-05 12:19:01,323 epoch 12 - iter 224/280 - loss 0.09511287 - time (sec): 13.06 - samples/sec: 12971.74 - lr: 0.100000
2023-04-05 12:19:02,990 epoch 12 - iter 252/280 - loss 0.09499567 - time (sec): 14.73 - samples/sec: 12946.67 - lr: 0.100000
2023-04-05 12:19:04,682 epoch 12 - iter 280/280 - loss 0.09570708 - time (sec): 16.42 - samples/sec: 12894.48 - lr: 0.100000
2023-04-05 12:19:04,683 ----------------------------------------------------------------------------------------------------
2023-04-05 12:19:04,683 EPOCH 12 done: loss 0.0957 - lr 0.100000
2023-04-05 12:19:04,683 BAD EPOCHS (no improvement): 0
2023-04-05 12:19:04,685 ----------------------------------------------------------------------------------------------------
2023-04-05 12:19:06,333 epoch 13 - iter 28/280 - loss 0.09548454 - time (sec): 1.65 - samples/sec: 12734.58 - lr: 0.100000
2023-04-05 12:19:07,942 epoch 13 - iter 56/280 - loss 0.09364913 - time (sec): 3.26 - samples/sec: 12805.35 - lr: 0.100000
2023-04-05 12:19:09,574 epoch 13 - iter 84/280 - loss 0.09171646 - time (sec): 4.89 - samples/sec: 12853.88 - lr: 0.100000
2023-04-05 12:19:11,240 epoch 13 - iter 112/280 - loss 0.09259784 - time (sec): 6.55 - samples/sec: 12921.85 - lr: 0.100000
2023-04-05 12:19:12,906 epoch 13 - iter 140/280 - loss 0.09380368 - time (sec): 8.22 - samples/sec: 12908.26 - lr: 0.100000
2023-04-05 12:19:14,553 epoch 13 - iter 168/280 - loss 0.09419609 - time (sec): 9.87 - samples/sec: 12887.00 - lr: 0.100000
2023-04-05 12:19:16,143 epoch 13 - iter 196/280 - loss 0.09396946 - time (sec): 11.46 - samples/sec: 12961.39 - lr: 0.100000
2023-04-05 12:19:17,763 epoch 13 - iter 224/280 - loss 0.09282943 - time (sec): 13.08 - samples/sec: 12973.71 - lr: 0.100000
2023-04-05 12:19:19,395 epoch 13 - iter 252/280 - loss 0.09245100 - time (sec): 14.71 - samples/sec: 12993.57 - lr: 0.100000
2023-04-05 12:19:20,961 epoch 13 - iter 280/280 - loss 0.09297837 - time (sec): 16.28 - samples/sec: 13006.50 - lr: 0.100000
2023-04-05 12:19:20,962 ----------------------------------------------------------------------------------------------------
2023-04-05 12:19:20,962 EPOCH 13 done: loss 0.0930 - lr 0.100000
2023-04-05 12:19:20,962 BAD EPOCHS (no improvement): 0
2023-04-05 12:19:20,964 ----------------------------------------------------------------------------------------------------
2023-04-05 12:19:22,569 epoch 14 - iter 28/280 - loss 0.09090094 - time (sec): 1.60 - samples/sec: 12889.57 - lr: 0.100000
2023-04-05 12:19:24,211 epoch 14 - iter 56/280 - loss 0.08839257 - time (sec): 3.25 - samples/sec: 12885.44 - lr: 0.100000
2023-04-05 12:19:25,896 epoch 14 - iter 84/280 - loss 0.09294522 - time (sec): 4.93 - samples/sec: 12910.45 - lr: 0.100000
2023-04-05 12:19:27,572 epoch 14 - iter 112/280 - loss 0.09116880 - time (sec): 6.61 - samples/sec: 12839.22 - lr: 0.100000
2023-04-05 12:19:29,254 epoch 14 - iter 140/280 - loss 0.09160739 - time (sec): 8.29 - samples/sec: 12798.82 - lr: 0.100000
2023-04-05 12:19:30,845 epoch 14 - iter 168/280 - loss 0.09094891 - time (sec): 9.88 - samples/sec: 12843.71 - lr: 0.100000
2023-04-05 12:19:32,525 epoch 14 - iter 196/280 - loss 0.09025440 - time (sec): 11.56 - samples/sec: 12856.97 - lr: 0.100000
2023-04-05 12:19:34,162 epoch 14 - iter 224/280 - loss 0.08977621 - time (sec): 13.20 - samples/sec: 12866.72 - lr: 0.100000
2023-04-05 12:19:35,806 epoch 14 - iter 252/280 - loss 0.08964240 - time (sec): 14.84 - samples/sec: 12861.70 - lr: 0.100000
2023-04-05 12:19:37,423 epoch 14 - iter 280/280 - loss 0.08968138 - time (sec): 16.46 - samples/sec: 12861.48 - lr: 0.100000
2023-04-05 12:19:37,424 ----------------------------------------------------------------------------------------------------
2023-04-05 12:19:37,424 EPOCH 14 done: loss 0.0897 - lr 0.100000
2023-04-05 12:19:37,424 BAD EPOCHS (no improvement): 0
2023-04-05 12:19:37,426 ----------------------------------------------------------------------------------------------------
2023-04-05 12:19:39,052 epoch 15 - iter 28/280 - loss 0.08548615 - time (sec): 1.63 - samples/sec: 12971.93 - lr: 0.100000
2023-04-05 12:19:40,710 epoch 15 - iter 56/280 - loss 0.08601120 - time (sec): 3.28 - samples/sec: 12984.44 - lr: 0.100000
2023-04-05 12:19:42,388 epoch 15 - iter 84/280 - loss 0.08631404 - time (sec): 4.96 - samples/sec: 12968.56 - lr: 0.100000
2023-04-05 12:19:44,021 epoch 15 - iter 112/280 - loss 0.08820209 - time (sec): 6.59 - samples/sec: 12999.15 - lr: 0.100000
2023-04-05 12:19:45,640 epoch 15 - iter 140/280 - loss 0.08659678 - time (sec): 8.21 - samples/sec: 13052.48 - lr: 0.100000
2023-04-05 12:19:47,219 epoch 15 - iter 168/280 - loss 0.08743056 - time (sec): 9.79 - samples/sec: 13072.16 - lr: 0.100000
2023-04-05 12:19:48,850 epoch 15 - iter 196/280 - loss 0.08746264 - time (sec): 11.42 - samples/sec: 13048.89 - lr: 0.100000
2023-04-05 12:19:50,444 epoch 15 - iter 224/280 - loss 0.08798862 - time (sec): 13.02 - samples/sec: 13028.06 - lr: 0.100000
2023-04-05 12:19:52,105 epoch 15 - iter 252/280 - loss 0.08828511 - time (sec): 14.68 - samples/sec: 13017.73 - lr: 0.100000
2023-04-05 12:19:53,696 epoch 15 - iter 280/280 - loss 0.08796639 - time (sec): 16.27 - samples/sec: 13011.31 - lr: 0.100000
2023-04-05 12:19:53,696 ----------------------------------------------------------------------------------------------------
2023-04-05 12:19:53,696 EPOCH 15 done: loss 0.0880 - lr 0.100000
2023-04-05 12:19:53,696 BAD EPOCHS (no improvement): 0
2023-04-05 12:19:53,701 ----------------------------------------------------------------------------------------------------
2023-04-05 12:19:55,339 epoch 16 - iter 28/280 - loss 0.08338708 - time (sec): 1.64 - samples/sec: 13069.50 - lr: 0.100000
2023-04-05 12:19:56,931 epoch 16 - iter 56/280 - loss 0.08373190 - time (sec): 3.23 - samples/sec: 13112.45 - lr: 0.100000
2023-04-05 12:19:58,589 epoch 16 - iter 84/280 - loss 0.08319913 - time (sec): 4.89 - samples/sec: 12986.03 - lr: 0.100000
2023-04-05 12:20:00,300 epoch 16 - iter 112/280 - loss 0.08464280 - time (sec): 6.60 - samples/sec: 12889.90 - lr: 0.100000
2023-04-05 12:20:01,919 epoch 16 - iter 140/280 - loss 0.08548323 - time (sec): 8.22 - samples/sec: 12847.59 - lr: 0.100000
2023-04-05 12:20:03,603 epoch 16 - iter 168/280 - loss 0.08568624 - time (sec): 9.90 - samples/sec: 12787.98 - lr: 0.100000
2023-04-05 12:20:05,312 epoch 16 - iter 196/280 - loss 0.08588785 - time (sec): 11.61 - samples/sec: 12790.98 - lr: 0.100000
2023-04-05 12:20:07,007 epoch 16 - iter 224/280 - loss 0.08596950 - time (sec): 13.31 - samples/sec: 12794.98 - lr: 0.100000
2023-04-05 12:20:08,622 epoch 16 - iter 252/280 - loss 0.08597703 - time (sec): 14.92 - samples/sec: 12823.22 - lr: 0.100000
2023-04-05 12:20:10,262 epoch 16 - iter 280/280 - loss 0.08563184 - time (sec): 16.56 - samples/sec: 12783.21 - lr: 0.100000
2023-04-05 12:20:10,262 ----------------------------------------------------------------------------------------------------
2023-04-05 12:20:10,262 EPOCH 16 done: loss 0.0856 - lr 0.100000
2023-04-05 12:20:10,262 BAD EPOCHS (no improvement): 0
2023-04-05 12:20:10,265 ----------------------------------------------------------------------------------------------------
2023-04-05 12:20:11,931 epoch 17 - iter 28/280 - loss 0.08153711 - time (sec): 1.67 - samples/sec: 12855.29 - lr: 0.100000
2023-04-05 12:20:13,589 epoch 17 - iter 56/280 - loss 0.07917701 - time (sec): 3.32 - samples/sec: 12852.28 - lr: 0.100000
2023-04-05 12:20:15,209 epoch 17 - iter 84/280 - loss 0.07882461 - time (sec): 4.94 - samples/sec: 12948.72 - lr: 0.100000
2023-04-05 12:20:16,863 epoch 17 - iter 112/280 - loss 0.07991712 - time (sec): 6.60 - samples/sec: 12902.78 - lr: 0.100000
2023-04-05 12:20:18,502 epoch 17 - iter 140/280 - loss 0.08052107 - time (sec): 8.24 - samples/sec: 12906.49 - lr: 0.100000
2023-04-05 12:20:20,164 epoch 17 - iter 168/280 - loss 0.08190411 - time (sec): 9.90 - samples/sec: 12930.64 - lr: 0.100000
2023-04-05 12:20:21,804 epoch 17 - iter 196/280 - loss 0.08242056 - time (sec): 11.54 - samples/sec: 12891.97 - lr: 0.100000
2023-04-05 12:20:23,437 epoch 17 - iter 224/280 - loss 0.08293320 - time (sec): 13.17 - samples/sec: 12884.57 - lr: 0.100000
2023-04-05 12:20:25,102 epoch 17 - iter 252/280 - loss 0.08276468 - time (sec): 14.84 - samples/sec: 12910.36 - lr: 0.100000
2023-04-05 12:20:26,687 epoch 17 - iter 280/280 - loss 0.08289985 - time (sec): 16.42 - samples/sec: 12891.02 - lr: 0.100000
2023-04-05 12:20:26,687 ----------------------------------------------------------------------------------------------------
2023-04-05 12:20:26,687 EPOCH 17 done: loss 0.0829 - lr 0.100000
2023-04-05 12:20:26,687 BAD EPOCHS (no improvement): 0
2023-04-05 12:20:26,690 ----------------------------------------------------------------------------------------------------
2023-04-05 12:20:28,327 epoch 18 - iter 28/280 - loss 0.07068090 - time (sec): 1.64 - samples/sec: 12960.02 - lr: 0.100000
2023-04-05 12:20:29,968 epoch 18 - iter 56/280 - loss 0.07610525 - time (sec): 3.28 - samples/sec: 13040.91 - lr: 0.100000
2023-04-05 12:20:31,595 epoch 18 - iter 84/280 - loss 0.07678958 - time (sec): 4.91 - samples/sec: 13058.21 - lr: 0.100000
2023-04-05 12:20:33,216 epoch 18 - iter 112/280 - loss 0.07811770 - time (sec): 6.53 - samples/sec: 13022.69 - lr: 0.100000
2023-04-05 12:20:34,819 epoch 18 - iter 140/280 - loss 0.07912785 - time (sec): 8.13 - samples/sec: 12980.67 - lr: 0.100000
2023-04-05 12:20:36,469 epoch 18 - iter 168/280 - loss 0.07973617 - time (sec): 9.78 - samples/sec: 12925.55 - lr: 0.100000
2023-04-05 12:20:38,156 epoch 18 - iter 196/280 - loss 0.08048575 - time (sec): 11.47 - samples/sec: 12885.31 - lr: 0.100000
2023-04-05 12:20:39,808 epoch 18 - iter 224/280 - loss 0.08018490 - time (sec): 13.12 - samples/sec: 12906.96 - lr: 0.100000
2023-04-05 12:20:41,478 epoch 18 - iter 252/280 - loss 0.08035703 - time (sec): 14.79 - samples/sec: 12895.73 - lr: 0.100000
2023-04-05 12:20:43,143 epoch 18 - iter 280/280 - loss 0.08105304 - time (sec): 16.45 - samples/sec: 12865.75 - lr: 0.100000
2023-04-05 12:20:43,144 ----------------------------------------------------------------------------------------------------
2023-04-05 12:20:43,144 EPOCH 18 done: loss 0.0811 - lr 0.100000
2023-04-05 12:20:43,144 BAD EPOCHS (no improvement): 0
2023-04-05 12:20:43,147 ----------------------------------------------------------------------------------------------------
2023-04-05 12:20:44,807 epoch 19 - iter 28/280 - loss 0.07860613 - time (sec): 1.66 - samples/sec: 12831.07 - lr: 0.100000
2023-04-05 12:20:46,482 epoch 19 - iter 56/280 - loss 0.07911332 - time (sec): 3.34 - samples/sec: 12924.46 - lr: 0.100000
2023-04-05 12:20:48,070 epoch 19 - iter 84/280 - loss 0.07941085 - time (sec): 4.92 - samples/sec: 12970.03 - lr: 0.100000
2023-04-05 12:20:49,697 epoch 19 - iter 112/280 - loss 0.08004009 - time (sec): 6.55 - samples/sec: 12974.08 - lr: 0.100000
2023-04-05 12:20:51,362 epoch 19 - iter 140/280 - loss 0.07868295 - time (sec): 8.22 - samples/sec: 12954.52 - lr: 0.100000
2023-04-05 12:20:52,976 epoch 19 - iter 168/280 - loss 0.07875268 - time (sec): 9.83 - samples/sec: 12966.11 - lr: 0.100000
2023-04-05 12:20:54,570 epoch 19 - iter 196/280 - loss 0.07891022 - time (sec): 11.42 - samples/sec: 13006.58 - lr: 0.100000
2023-04-05 12:20:56,161 epoch 19 - iter 224/280 - loss 0.07819564 - time (sec): 13.01 - samples/sec: 13015.25 - lr: 0.100000
2023-04-05 12:20:57,816 epoch 19 - iter 252/280 - loss 0.07856103 - time (sec): 14.67 - samples/sec: 13033.31 - lr: 0.100000
2023-04-05 12:20:59,401 epoch 19 - iter 280/280 - loss 0.07869204 - time (sec): 16.25 - samples/sec: 13023.29 - lr: 0.100000
2023-04-05 12:20:59,402 ----------------------------------------------------------------------------------------------------
2023-04-05 12:20:59,402 EPOCH 19 done: loss 0.0787 - lr 0.100000
2023-04-05 12:20:59,402 BAD EPOCHS (no improvement): 0
2023-04-05 12:20:59,404 ----------------------------------------------------------------------------------------------------
2023-04-05 12:21:01,026 epoch 20 - iter 28/280 - loss 0.06922284 - time (sec): 1.62 - samples/sec: 12843.64 - lr: 0.100000
2023-04-05 12:21:02,661 epoch 20 - iter 56/280 - loss 0.07180172 - time (sec): 3.26 - samples/sec: 12892.41 - lr: 0.100000
2023-04-05 12:21:04,260 epoch 20 - iter 84/280 - loss 0.07486399 - time (sec): 4.86 - samples/sec: 12910.57 - lr: 0.100000
2023-04-05 12:21:05,904 epoch 20 - iter 112/280 - loss 0.07390276 - time (sec): 6.50 - samples/sec: 12986.41 - lr: 0.100000
2023-04-05 12:21:07,505 epoch 20 - iter 140/280 - loss 0.07461960 - time (sec): 8.10 - samples/sec: 13051.77 - lr: 0.100000
2023-04-05 12:21:09,163 epoch 20 - iter 168/280 - loss 0.07511194 - time (sec): 9.76 - samples/sec: 12968.39 - lr: 0.100000
2023-04-05 12:21:10,861 epoch 20 - iter 196/280 - loss 0.07551873 - time (sec): 11.46 - samples/sec: 12960.46 - lr: 0.100000
2023-04-05 12:21:12,566 epoch 20 - iter 224/280 - loss 0.07582251 - time (sec): 13.16 - samples/sec: 12892.36 - lr: 0.100000
2023-04-05 12:21:14,220 epoch 20 - iter 252/280 - loss 0.07619749 - time (sec): 14.82 - samples/sec: 12903.03 - lr: 0.100000
2023-04-05 12:21:15,861 epoch 20 - iter 280/280 - loss 0.07612544 - time (sec): 16.46 - samples/sec: 12863.56 - lr: 0.100000
2023-04-05 12:21:15,861 ----------------------------------------------------------------------------------------------------
2023-04-05 12:21:15,861 EPOCH 20 done: loss 0.0761 - lr 0.100000
2023-04-05 12:21:15,861 BAD EPOCHS (no improvement): 0
2023-04-05 12:21:15,864 ----------------------------------------------------------------------------------------------------
2023-04-05 12:21:17,476 epoch 21 - iter 28/280 - loss 0.07220752 - time (sec): 1.61 - samples/sec: 13184.32 - lr: 0.100000
2023-04-05 12:21:19,131 epoch 21 - iter 56/280 - loss 0.07095714 - time (sec): 3.27 - samples/sec: 13010.44 - lr: 0.100000
2023-04-05 12:21:20,808 epoch 21 - iter 84/280 - loss 0.07244954 - time (sec): 4.94 - samples/sec: 13025.35 - lr: 0.100000
2023-04-05 12:21:22,466 epoch 21 - iter 112/280 - loss 0.07373930 - time (sec): 6.60 - samples/sec: 12920.23 - lr: 0.100000
2023-04-05 12:21:24,103 epoch 21 - iter 140/280 - loss 0.07375233 - time (sec): 8.24 - samples/sec: 12862.44 - lr: 0.100000
2023-04-05 12:21:25,742 epoch 21 - iter 168/280 - loss 0.07356020 - time (sec): 9.88 - samples/sec: 12863.49 - lr: 0.100000
2023-04-05 12:21:27,365 epoch 21 - iter 196/280 - loss 0.07411871 - time (sec): 11.50 - samples/sec: 12885.58 - lr: 0.100000
2023-04-05 12:21:29,022 epoch 21 - iter 224/280 - loss 0.07472352 - time (sec): 13.16 - samples/sec: 12934.29 - lr: 0.100000
2023-04-05 12:21:30,659 epoch 21 - iter 252/280 - loss 0.07593306 - time (sec): 14.79 - samples/sec: 12937.48 - lr: 0.100000
2023-04-05 12:21:32,220 epoch 21 - iter 280/280 - loss 0.07591476 - time (sec): 16.36 - samples/sec: 12942.59 - lr: 0.100000
2023-04-05 12:21:32,220 ----------------------------------------------------------------------------------------------------
2023-04-05 12:21:32,220 EPOCH 21 done: loss 0.0759 - lr 0.100000
2023-04-05 12:21:32,221 BAD EPOCHS (no improvement): 0
2023-04-05 12:21:32,223 ----------------------------------------------------------------------------------------------------
2023-04-05 12:21:33,804 epoch 22 - iter 28/280 - loss 0.07095932 - time (sec): 1.58 - samples/sec: 13246.25 - lr: 0.100000
2023-04-05 12:21:35,477 epoch 22 - iter 56/280 - loss 0.06934549 - time (sec): 3.25 - samples/sec: 13085.41 - lr: 0.100000
2023-04-05 12:21:37,111 epoch 22 - iter 84/280 - loss 0.07118955 - time (sec): 4.89 - samples/sec: 13086.25 - lr: 0.100000
2023-04-05 12:21:38,747 epoch 22 - iter 112/280 - loss 0.07158021 - time (sec): 6.52 - samples/sec: 13032.43 - lr: 0.100000
2023-04-05 12:21:40,352 epoch 22 - iter 140/280 - loss 0.07170354 - time (sec): 8.13 - samples/sec: 12971.16 - lr: 0.100000
2023-04-05 12:21:42,001 epoch 22 - iter 168/280 - loss 0.07186148 - time (sec): 9.78 - samples/sec: 13002.10 - lr: 0.100000
2023-04-05 12:21:43,641 epoch 22 - iter 196/280 - loss 0.07171859 - time (sec): 11.42 - samples/sec: 12999.10 - lr: 0.100000
2023-04-05 12:21:45,265 epoch 22 - iter 224/280 - loss 0.07174085 - time (sec): 13.04 - samples/sec: 13014.02 - lr: 0.100000
2023-04-05 12:21:46,915 epoch 22 - iter 252/280 - loss 0.07152575 - time (sec): 14.69 - samples/sec: 13006.50 - lr: 0.100000
2023-04-05 12:21:48,550 epoch 22 - iter 280/280 - loss 0.07236684 - time (sec): 16.33 - samples/sec: 12965.87 - lr: 0.100000
2023-04-05 12:21:48,550 ----------------------------------------------------------------------------------------------------
2023-04-05 12:21:48,550 EPOCH 22 done: loss 0.0724 - lr 0.100000
2023-04-05 12:21:48,551 BAD EPOCHS (no improvement): 0
2023-04-05 12:21:48,553 ----------------------------------------------------------------------------------------------------
2023-04-05 12:21:50,231 epoch 23 - iter 28/280 - loss 0.06977017 - time (sec): 1.68 - samples/sec: 12878.25 - lr: 0.100000
2023-04-05 12:21:51,973 epoch 23 - iter 56/280 - loss 0.06953530 - time (sec): 3.42 - samples/sec: 12692.12 - lr: 0.100000
2023-04-05 12:21:53,614 epoch 23 - iter 84/280 - loss 0.06978777 - time (sec): 5.06 - samples/sec: 12715.08 - lr: 0.100000
2023-04-05 12:21:55,291 epoch 23 - iter 112/280 - loss 0.06959241 - time (sec): 6.74 - samples/sec: 12718.26 - lr: 0.100000
2023-04-05 12:21:56,912 epoch 23 - iter 140/280 - loss 0.07051286 - time (sec): 8.36 - samples/sec: 12755.43 - lr: 0.100000
2023-04-05 12:21:58,509 epoch 23 - iter 168/280 - loss 0.07080548 - time (sec): 9.96 - samples/sec: 12817.10 - lr: 0.100000
2023-04-05 12:22:00,131 epoch 23 - iter 196/280 - loss 0.07106757 - time (sec): 11.58 - samples/sec: 12841.12 - lr: 0.100000
2023-04-05 12:22:01,756 epoch 23 - iter 224/280 - loss 0.07116871 - time (sec): 13.20 - samples/sec: 12871.65 - lr: 0.100000
2023-04-05 12:22:03,369 epoch 23 - iter 252/280 - loss 0.07129933 - time (sec): 14.82 - samples/sec: 12861.27 - lr: 0.100000
2023-04-05 12:22:04,975 epoch 23 - iter 280/280 - loss 0.07177936 - time (sec): 16.42 - samples/sec: 12890.54 - lr: 0.100000
2023-04-05 12:22:04,975 ----------------------------------------------------------------------------------------------------
2023-04-05 12:22:04,976 EPOCH 23 done: loss 0.0718 - lr 0.100000
2023-04-05 12:22:04,976 BAD EPOCHS (no improvement): 0
2023-04-05 12:22:04,978 ----------------------------------------------------------------------------------------------------
2023-04-05 12:22:06,662 epoch 24 - iter 28/280 - loss 0.06428956 - time (sec): 1.68 - samples/sec: 12920.20 - lr: 0.100000
2023-04-05 12:22:08,280 epoch 24 - iter 56/280 - loss 0.06575542 - time (sec): 3.30 - samples/sec: 12982.29 - lr: 0.100000
2023-04-05 12:22:09,881 epoch 24 - iter 84/280 - loss 0.06698868 - time (sec): 4.90 - samples/sec: 12989.04 - lr: 0.100000
2023-04-05 12:22:11,534 epoch 24 - iter 112/280 - loss 0.06802202 - time (sec): 6.56 - samples/sec: 12995.26 - lr: 0.100000
2023-04-05 12:22:13,180 epoch 24 - iter 140/280 - loss 0.06780509 - time (sec): 8.20 - samples/sec: 13019.26 - lr: 0.100000
2023-04-05 12:22:14,812 epoch 24 - iter 168/280 - loss 0.06926830 - time (sec): 9.83 - samples/sec: 13024.96 - lr: 0.100000
2023-04-05 12:22:16,446 epoch 24 - iter 196/280 - loss 0.07060326 - time (sec): 11.47 - samples/sec: 13051.04 - lr: 0.100000
2023-04-05 12:22:18,035 epoch 24 - iter 224/280 - loss 0.07019005 - time (sec): 13.06 - samples/sec: 13068.43 - lr: 0.100000
2023-04-05 12:22:19,674 epoch 24 - iter 252/280 - loss 0.07027106 - time (sec): 14.70 - samples/sec: 13036.40 - lr: 0.100000
2023-04-05 12:22:21,258 epoch 24 - iter 280/280 - loss 0.07049214 - time (sec): 16.28 - samples/sec: 13003.28 - lr: 0.100000
2023-04-05 12:22:21,258 ----------------------------------------------------------------------------------------------------
2023-04-05 12:22:21,258 EPOCH 24 done: loss 0.0705 - lr 0.100000
2023-04-05 12:22:21,258 BAD EPOCHS (no improvement): 0
2023-04-05 12:22:21,260 ----------------------------------------------------------------------------------------------------
2023-04-05 12:22:22,883 epoch 25 - iter 28/280 - loss 0.06950829 - time (sec): 1.62 - samples/sec: 12808.54 - lr: 0.100000
2023-04-05 12:22:24,552 epoch 25 - iter 56/280 - loss 0.07057082 - time (sec): 3.29 - samples/sec: 12744.90 - lr: 0.100000
2023-04-05 12:22:26,191 epoch 25 - iter 84/280 - loss 0.06931666 - time (sec): 4.93 - samples/sec: 12855.28 - lr: 0.100000
2023-04-05 12:22:27,850 epoch 25 - iter 112/280 - loss 0.06702485 - time (sec): 6.59 - samples/sec: 12849.15 - lr: 0.100000
2023-04-05 12:22:29,549 epoch 25 - iter 140/280 - loss 0.06809756 - time (sec): 8.29 - samples/sec: 12760.10 - lr: 0.100000
2023-04-05 12:22:31,188 epoch 25 - iter 168/280 - loss 0.06819260 - time (sec): 9.93 - samples/sec: 12782.76 - lr: 0.100000
2023-04-05 12:22:32,818 epoch 25 - iter 196/280 - loss 0.06761685 - time (sec): 11.56 - samples/sec: 12811.62 - lr: 0.100000
2023-04-05 12:22:34,454 epoch 25 - iter 224/280 - loss 0.06802933 - time (sec): 13.19 - samples/sec: 12846.01 - lr: 0.100000
2023-04-05 12:22:36,156 epoch 25 - iter 252/280 - loss 0.06911424 - time (sec): 14.90 - samples/sec: 12827.46 - lr: 0.100000
2023-04-05 12:22:37,750 epoch 25 - iter 280/280 - loss 0.06920719 - time (sec): 16.49 - samples/sec: 12837.62 - lr: 0.100000
2023-04-05 12:22:37,751 ----------------------------------------------------------------------------------------------------
2023-04-05 12:22:37,751 EPOCH 25 done: loss 0.0692 - lr 0.100000
2023-04-05 12:22:37,751 BAD EPOCHS (no improvement): 0
2023-04-05 12:22:37,753 ----------------------------------------------------------------------------------------------------
2023-04-05 12:22:39,437 epoch 26 - iter 28/280 - loss 0.06938282 - time (sec): 1.68 - samples/sec: 12856.92 - lr: 0.100000
2023-04-05 12:22:41,069 epoch 26 - iter 56/280 - loss 0.06784760 - time (sec): 3.32 - samples/sec: 12890.79 - lr: 0.100000
2023-04-05 12:22:42,724 epoch 26 - iter 84/280 - loss 0.06720387 - time (sec): 4.97 - samples/sec: 12908.32 - lr: 0.100000
2023-04-05 12:22:44,385 epoch 26 - iter 112/280 - loss 0.06769733 - time (sec): 6.63 - samples/sec: 12913.39 - lr: 0.100000
2023-04-05 12:22:46,000 epoch 26 - iter 140/280 - loss 0.06784163 - time (sec): 8.25 - samples/sec: 12927.84 - lr: 0.100000
2023-04-05 12:22:47,601 epoch 26 - iter 168/280 - loss 0.06799066 - time (sec): 9.85 - samples/sec: 12991.66 - lr: 0.100000
2023-04-05 12:22:49,190 epoch 26 - iter 196/280 - loss 0.06824359 - time (sec): 11.44 - samples/sec: 12975.18 - lr: 0.100000
2023-04-05 12:22:50,761 epoch 26 - iter 224/280 - loss 0.06845792 - time (sec): 13.01 - samples/sec: 13043.17 - lr: 0.100000
2023-04-05 12:22:52,412 epoch 26 - iter 252/280 - loss 0.06807885 - time (sec): 14.66 - samples/sec: 13000.88 - lr: 0.100000
2023-04-05 12:22:54,045 epoch 26 - iter 280/280 - loss 0.06812823 - time (sec): 16.29 - samples/sec: 12993.36 - lr: 0.100000
2023-04-05 12:22:54,046 ----------------------------------------------------------------------------------------------------
2023-04-05 12:22:54,046 EPOCH 26 done: loss 0.0681 - lr 0.100000
2023-04-05 12:22:54,046 BAD EPOCHS (no improvement): 0
2023-04-05 12:22:54,048 ----------------------------------------------------------------------------------------------------
2023-04-05 12:22:55,652 epoch 27 - iter 28/280 - loss 0.07055903 - time (sec): 1.60 - samples/sec: 13144.45 - lr: 0.100000
2023-04-05 12:22:57,242 epoch 27 - iter 56/280 - loss 0.07007313 - time (sec): 3.19 - samples/sec: 13044.99 - lr: 0.100000
2023-04-05 12:22:58,903 epoch 27 - iter 84/280 - loss 0.07000919 - time (sec): 4.85 - samples/sec: 13032.60 - lr: 0.100000
2023-04-05 12:23:00,536 epoch 27 - iter 112/280 - loss 0.06795990 - time (sec): 6.49 - samples/sec: 12950.71 - lr: 0.100000
2023-04-05 12:23:02,192 epoch 27 - iter 140/280 - loss 0.06831239 - time (sec): 8.14 - samples/sec: 12940.94 - lr: 0.100000
2023-04-05 12:23:03,907 epoch 27 - iter 168/280 - loss 0.06693875 - time (sec): 9.86 - samples/sec: 12865.78 - lr: 0.100000
2023-04-05 12:23:05,619 epoch 27 - iter 196/280 - loss 0.06714834 - time (sec): 11.57 - samples/sec: 12799.25 - lr: 0.100000
2023-04-05 12:23:07,270 epoch 27 - iter 224/280 - loss 0.06673696 - time (sec): 13.22 - samples/sec: 12821.00 - lr: 0.100000
2023-04-05 12:23:08,912 epoch 27 - iter 252/280 - loss 0.06706515 - time (sec): 14.86 - samples/sec: 12823.00 - lr: 0.100000
2023-04-05 12:23:10,528 epoch 27 - iter 280/280 - loss 0.06733026 - time (sec): 16.48 - samples/sec: 12845.61 - lr: 0.100000
2023-04-05 12:23:10,528 ----------------------------------------------------------------------------------------------------
2023-04-05 12:23:10,528 EPOCH 27 done: loss 0.0673 - lr 0.100000
2023-04-05 12:23:10,528 BAD EPOCHS (no improvement): 0
2023-04-05 12:23:10,531 ----------------------------------------------------------------------------------------------------
2023-04-05 12:23:12,231 epoch 28 - iter 28/280 - loss 0.06299158 - time (sec): 1.70 - samples/sec: 12694.19 - lr: 0.100000
2023-04-05 12:23:13,973 epoch 28 - iter 56/280 - loss 0.06629791 - time (sec): 3.44 - samples/sec: 12528.34 - lr: 0.100000
2023-04-05 12:23:15,769 epoch 28 - iter 84/280 - loss 0.06802182 - time (sec): 5.24 - samples/sec: 12337.65 - lr: 0.100000
2023-04-05 12:23:17,519 epoch 28 - iter 112/280 - loss 0.06742486 - time (sec): 6.99 - samples/sec: 12226.56 - lr: 0.100000
2023-04-05 12:23:19,182 epoch 28 - iter 140/280 - loss 0.06715799 - time (sec): 8.65 - samples/sec: 12293.24 - lr: 0.100000
2023-04-05 12:23:20,831 epoch 28 - iter 168/280 - loss 0.06603853 - time (sec): 10.30 - samples/sec: 12357.97 - lr: 0.100000
2023-04-05 12:23:22,503 epoch 28 - iter 196/280 - loss 0.06529415 - time (sec): 11.97 - samples/sec: 12419.64 - lr: 0.100000
2023-04-05 12:23:24,194 epoch 28 - iter 224/280 - loss 0.06532573 - time (sec): 13.66 - samples/sec: 12465.15 - lr: 0.100000
2023-04-05 12:23:25,832 epoch 28 - iter 252/280 - loss 0.06540863 - time (sec): 15.30 - samples/sec: 12504.07 - lr: 0.100000
2023-04-05 12:23:27,437 epoch 28 - iter 280/280 - loss 0.06560654 - time (sec): 16.91 - samples/sec: 12521.50 - lr: 0.100000
2023-04-05 12:23:27,437 ----------------------------------------------------------------------------------------------------
2023-04-05 12:23:27,437 EPOCH 28 done: loss 0.0656 - lr 0.100000
2023-04-05 12:23:27,437 BAD EPOCHS (no improvement): 0
2023-04-05 12:23:27,440 ----------------------------------------------------------------------------------------------------
2023-04-05 12:23:29,142 epoch 29 - iter 28/280 - loss 0.06273819 - time (sec): 1.70 - samples/sec: 12563.18 - lr: 0.100000
2023-04-05 12:23:30,846 epoch 29 - iter 56/280 - loss 0.06353536 - time (sec): 3.41 - samples/sec: 12495.59 - lr: 0.100000
2023-04-05 12:23:32,589 epoch 29 - iter 84/280 - loss 0.06397361 - time (sec): 5.15 - samples/sec: 12465.82 - lr: 0.100000
2023-04-05 12:23:39,133 epoch 29 - iter 112/280 - loss 0.06381587 - time (sec): 11.69 - samples/sec: 7263.22 - lr: 0.100000
2023-04-05 12:23:40,887 epoch 29 - iter 140/280 - loss 0.06534103 - time (sec): 13.45 - samples/sec: 7879.15 - lr: 0.100000
2023-04-05 12:23:42,719 epoch 29 - iter 168/280 - loss 0.06524703 - time (sec): 15.28 - samples/sec: 8351.23 - lr: 0.100000
2023-04-05 12:23:44,475 epoch 29 - iter 196/280 - loss 0.06469170 - time (sec): 17.04 - samples/sec: 8719.28 - lr: 0.100000
2023-04-05 12:23:46,327 epoch 29 - iter 224/280 - loss 0.06493729 - time (sec): 18.89 - samples/sec: 8999.63 - lr: 0.100000
2023-04-05 12:23:48,099 epoch 29 - iter 252/280 - loss 0.06470114 - time (sec): 20.66 - samples/sec: 9258.03 - lr: 0.100000
2023-04-05 12:23:49,820 epoch 29 - iter 280/280 - loss 0.06426326 - time (sec): 22.38 - samples/sec: 9458.92 - lr: 0.100000
2023-04-05 12:23:49,820 ----------------------------------------------------------------------------------------------------
2023-04-05 12:23:49,820 EPOCH 29 done: loss 0.0643 - lr 0.100000
2023-04-05 12:23:49,820 BAD EPOCHS (no improvement): 0
2023-04-05 12:23:49,823 ----------------------------------------------------------------------------------------------------
2023-04-05 12:23:51,557 epoch 30 - iter 28/280 - loss 0.05909563 - time (sec): 1.73 - samples/sec: 12381.89 - lr: 0.100000
2023-04-05 12:23:53,366 epoch 30 - iter 56/280 - loss 0.06442363 - time (sec): 3.54 - samples/sec: 12176.97 - lr: 0.100000
2023-04-05 12:23:55,132 epoch 30 - iter 84/280 - loss 0.06258681 - time (sec): 5.31 - samples/sec: 12107.70 - lr: 0.100000
2023-04-05 12:23:56,845 epoch 30 - iter 112/280 - loss 0.06276738 - time (sec): 7.02 - samples/sec: 12113.76 - lr: 0.100000
2023-04-05 12:23:58,599 epoch 30 - iter 140/280 - loss 0.06246857 - time (sec): 8.78 - samples/sec: 12046.84 - lr: 0.100000
2023-04-05 12:24:00,362 epoch 30 - iter 168/280 - loss 0.06367857 - time (sec): 10.54 - samples/sec: 12053.35 - lr: 0.100000
2023-04-05 12:24:02,214 epoch 30 - iter 196/280 - loss 0.06322430 - time (sec): 12.39 - samples/sec: 11993.31 - lr: 0.100000
2023-04-05 12:24:03,922 epoch 30 - iter 224/280 - loss 0.06351016 - time (sec): 14.10 - samples/sec: 12004.64 - lr: 0.100000
2023-04-05 12:24:05,672 epoch 30 - iter 252/280 - loss 0.06392838 - time (sec): 15.85 - samples/sec: 12018.66 - lr: 0.100000
2023-04-05 12:24:07,407 epoch 30 - iter 280/280 - loss 0.06417124 - time (sec): 17.58 - samples/sec: 12038.61 - lr: 0.100000
2023-04-05 12:24:07,408 ----------------------------------------------------------------------------------------------------
2023-04-05 12:24:07,408 EPOCH 30 done: loss 0.0642 - lr 0.100000
2023-04-05 12:24:07,408 BAD EPOCHS (no improvement): 0
2023-04-05 12:24:07,410 ----------------------------------------------------------------------------------------------------
2023-04-05 12:24:09,140 epoch 31 - iter 28/280 - loss 0.06418364 - time (sec): 1.73 - samples/sec: 12060.48 - lr: 0.100000
2023-04-05 12:24:10,855 epoch 31 - iter 56/280 - loss 0.06302092 - time (sec): 3.44 - samples/sec: 12312.88 - lr: 0.100000
2023-04-05 12:24:12,558 epoch 31 - iter 84/280 - loss 0.06273151 - time (sec): 5.15 - samples/sec: 12269.32 - lr: 0.100000
2023-04-05 12:24:14,322 epoch 31 - iter 112/280 - loss 0.06235783 - time (sec): 6.91 - samples/sec: 12242.13 - lr: 0.100000
2023-04-05 12:24:16,095 epoch 31 - iter 140/280 - loss 0.06300461 - time (sec): 8.68 - samples/sec: 12197.98 - lr: 0.100000
2023-04-05 12:24:17,892 epoch 31 - iter 168/280 - loss 0.06281026 - time (sec): 10.48 - samples/sec: 12158.67 - lr: 0.100000
2023-04-05 12:24:19,644 epoch 31 - iter 196/280 - loss 0.06263247 - time (sec): 12.23 - samples/sec: 12132.48 - lr: 0.100000
2023-04-05 12:24:21,475 epoch 31 - iter 224/280 - loss 0.06273375 - time (sec): 14.06 - samples/sec: 12044.33 - lr: 0.100000
2023-04-05 12:24:23,246 epoch 31 - iter 252/280 - loss 0.06304077 - time (sec): 15.84 - samples/sec: 12038.54 - lr: 0.100000
2023-04-05 12:24:25,046 epoch 31 - iter 280/280 - loss 0.06331717 - time (sec): 17.64 - samples/sec: 12003.54 - lr: 0.100000
2023-04-05 12:24:25,047 ----------------------------------------------------------------------------------------------------
2023-04-05 12:24:25,047 EPOCH 31 done: loss 0.0633 - lr 0.100000
2023-04-05 12:24:25,047 BAD EPOCHS (no improvement): 0
2023-04-05 12:24:25,049 ----------------------------------------------------------------------------------------------------
2023-04-05 12:24:26,812 epoch 32 - iter 28/280 - loss 0.06122004 - time (sec): 1.76 - samples/sec: 12144.30 - lr: 0.100000
2023-04-05 12:24:28,578 epoch 32 - iter 56/280 - loss 0.06102594 - time (sec): 3.53 - samples/sec: 12089.99 - lr: 0.100000
2023-04-05 12:24:30,311 epoch 32 - iter 84/280 - loss 0.06266730 - time (sec): 5.26 - samples/sec: 12143.89 - lr: 0.100000
2023-04-05 12:24:32,051 epoch 32 - iter 112/280 - loss 0.06321907 - time (sec): 7.00 - samples/sec: 12130.30 - lr: 0.100000
2023-04-05 12:24:33,779 epoch 32 - iter 140/280 - loss 0.06305545 - time (sec): 8.73 - samples/sec: 12170.12 - lr: 0.100000
2023-04-05 12:24:35,511 epoch 32 - iter 168/280 - loss 0.06285779 - time (sec): 10.46 - samples/sec: 12173.92 - lr: 0.100000
2023-04-05 12:24:37,242 epoch 32 - iter 196/280 - loss 0.06206724 - time (sec): 12.19 - samples/sec: 12192.29 - lr: 0.100000
2023-04-05 12:24:39,018 epoch 32 - iter 224/280 - loss 0.06182713 - time (sec): 13.97 - samples/sec: 12171.13 - lr: 0.100000
2023-04-05 12:24:40,842 epoch 32 - iter 252/280 - loss 0.06250066 - time (sec): 15.79 - samples/sec: 12108.57 - lr: 0.100000
2023-04-05 12:24:42,552 epoch 32 - iter 280/280 - loss 0.06231316 - time (sec): 17.50 - samples/sec: 12094.60 - lr: 0.100000
2023-04-05 12:24:42,552 ----------------------------------------------------------------------------------------------------
2023-04-05 12:24:42,552 EPOCH 32 done: loss 0.0623 - lr 0.100000
2023-04-05 12:24:42,552 BAD EPOCHS (no improvement): 0
2023-04-05 12:24:42,556 ----------------------------------------------------------------------------------------------------
2023-04-05 12:24:44,339 epoch 33 - iter 28/280 - loss 0.05207940 - time (sec): 1.78 - samples/sec: 11696.44 - lr: 0.100000
2023-04-05 12:24:46,140 epoch 33 - iter 56/280 - loss 0.05691223 - time (sec): 3.58 - samples/sec: 11723.59 - lr: 0.100000
2023-04-05 12:24:47,879 epoch 33 - iter 84/280 - loss 0.05855937 - time (sec): 5.32 - samples/sec: 11940.85 - lr: 0.100000
2023-04-05 12:24:49,710 epoch 33 - iter 112/280 - loss 0.06024757 - time (sec): 7.15 - samples/sec: 11885.90 - lr: 0.100000
2023-04-05 12:24:51,456 epoch 33 - iter 140/280 - loss 0.06036162 - time (sec): 8.90 - samples/sec: 11926.73 - lr: 0.100000
2023-04-05 12:24:53,219 epoch 33 - iter 168/280 - loss 0.06026775 - time (sec): 10.66 - samples/sec: 11962.45 - lr: 0.100000
2023-04-05 12:24:54,980 epoch 33 - iter 196/280 - loss 0.06073498 - time (sec): 12.42 - samples/sec: 12002.49 - lr: 0.100000
2023-04-05 12:24:56,726 epoch 33 - iter 224/280 - loss 0.06060123 - time (sec): 14.17 - samples/sec: 12022.23 - lr: 0.100000
2023-04-05 12:24:58,448 epoch 33 - iter 252/280 - loss 0.06070564 - time (sec): 15.89 - samples/sec: 12035.98 - lr: 0.100000
2023-04-05 12:25:00,147 epoch 33 - iter 280/280 - loss 0.06070678 - time (sec): 17.59 - samples/sec: 12033.97 - lr: 0.100000
2023-04-05 12:25:00,147 ----------------------------------------------------------------------------------------------------
2023-04-05 12:25:00,147 EPOCH 33 done: loss 0.0607 - lr 0.100000
2023-04-05 12:25:00,147 BAD EPOCHS (no improvement): 0
2023-04-05 12:25:00,150 ----------------------------------------------------------------------------------------------------
2023-04-05 12:25:01,851 epoch 34 - iter 28/280 - loss 0.05682696 - time (sec): 1.70 - samples/sec: 12398.77 - lr: 0.100000
2023-04-05 12:25:03,570 epoch 34 - iter 56/280 - loss 0.05850150 - time (sec): 3.42 - samples/sec: 12357.49 - lr: 0.100000
2023-04-05 12:25:05,281 epoch 34 - iter 84/280 - loss 0.05898550 - time (sec): 5.13 - samples/sec: 12328.11 - lr: 0.100000
2023-04-05 12:25:07,091 epoch 34 - iter 112/280 - loss 0.05942088 - time (sec): 6.94 - samples/sec: 12207.92 - lr: 0.100000
2023-04-05 12:25:08,943 epoch 34 - iter 140/280 - loss 0.05852121 - time (sec): 8.79 - samples/sec: 12051.65 - lr: 0.100000
2023-04-05 12:25:10,923 epoch 34 - iter 168/280 - loss 0.05839431 - time (sec): 10.77 - samples/sec: 11811.60 - lr: 0.100000
2023-04-05 12:25:12,937 epoch 34 - iter 196/280 - loss 0.05889300 - time (sec): 12.79 - samples/sec: 11612.47 - lr: 0.100000
2023-04-05 12:25:14,843 epoch 34 - iter 224/280 - loss 0.05919758 - time (sec): 14.69 - samples/sec: 11556.90 - lr: 0.100000
2023-04-05 12:25:16,877 epoch 34 - iter 252/280 - loss 0.05981785 - time (sec): 16.73 - samples/sec: 11414.68 - lr: 0.100000
2023-04-05 12:25:18,864 epoch 34 - iter 280/280 - loss 0.06010946 - time (sec): 18.71 - samples/sec: 11311.99 - lr: 0.100000
2023-04-05 12:25:18,864 ----------------------------------------------------------------------------------------------------
2023-04-05 12:25:18,864 EPOCH 34 done: loss 0.0601 - lr 0.100000
2023-04-05 12:25:18,864 BAD EPOCHS (no improvement): 0
2023-04-05 12:25:18,872 ----------------------------------------------------------------------------------------------------
2023-04-05 12:25:20,812 epoch 35 - iter 28/280 - loss 0.06241011 - time (sec): 1.94 - samples/sec: 10765.24 - lr: 0.100000
2023-04-05 12:25:22,703 epoch 35 - iter 56/280 - loss 0.05865700 - time (sec): 3.83 - samples/sec: 11112.68 - lr: 0.100000
2023-04-05 12:25:24,491 epoch 35 - iter 84/280 - loss 0.05908478 - time (sec): 5.62 - samples/sec: 11241.06 - lr: 0.100000
2023-04-05 12:25:26,334 epoch 35 - iter 112/280 - loss 0.06044558 - time (sec): 7.46 - samples/sec: 11314.85 - lr: 0.100000
2023-04-05 12:25:28,190 epoch 35 - iter 140/280 - loss 0.05973575 - time (sec): 9.32 - samples/sec: 11309.19 - lr: 0.100000
2023-04-05 12:25:29,981 epoch 35 - iter 168/280 - loss 0.05868325 - time (sec): 11.11 - samples/sec: 11376.07 - lr: 0.100000
2023-04-05 12:25:31,793 epoch 35 - iter 196/280 - loss 0.05857806 - time (sec): 12.92 - samples/sec: 11425.64 - lr: 0.100000
2023-04-05 12:25:33,585 epoch 35 - iter 224/280 - loss 0.05854624 - time (sec): 14.71 - samples/sec: 11496.50 - lr: 0.100000
2023-04-05 12:25:35,486 epoch 35 - iter 252/280 - loss 0.05860164 - time (sec): 16.61 - samples/sec: 11489.51 - lr: 0.100000
2023-04-05 12:25:37,263 epoch 35 - iter 280/280 - loss 0.05874847 - time (sec): 18.39 - samples/sec: 11510.18 - lr: 0.100000
2023-04-05 12:25:37,264 ----------------------------------------------------------------------------------------------------
2023-04-05 12:25:37,264 EPOCH 35 done: loss 0.0587 - lr 0.100000
2023-04-05 12:25:37,264 BAD EPOCHS (no improvement): 0
2023-04-05 12:25:37,266 ----------------------------------------------------------------------------------------------------
2023-04-05 12:25:38,979 epoch 36 - iter 28/280 - loss 0.06241489 - time (sec): 1.71 - samples/sec: 12221.34 - lr: 0.100000
2023-04-05 12:25:40,796 epoch 36 - iter 56/280 - loss 0.06013002 - time (sec): 3.53 - samples/sec: 12171.81 - lr: 0.100000
2023-04-05 12:25:42,542 epoch 36 - iter 84/280 - loss 0.05977741 - time (sec): 5.28 - samples/sec: 12020.44 - lr: 0.100000
2023-04-05 12:25:44,292 epoch 36 - iter 112/280 - loss 0.05952601 - time (sec): 7.03 - samples/sec: 11996.06 - lr: 0.100000
2023-04-05 12:25:46,084 epoch 36 - iter 140/280 - loss 0.05910233 - time (sec): 8.82 - samples/sec: 11991.36 - lr: 0.100000
2023-04-05 12:25:47,882 epoch 36 - iter 168/280 - loss 0.05881417 - time (sec): 10.62 - samples/sec: 11951.87 - lr: 0.100000
2023-04-05 12:25:49,680 epoch 36 - iter 196/280 - loss 0.05849209 - time (sec): 12.41 - samples/sec: 11926.72 - lr: 0.100000
2023-04-05 12:25:51,475 epoch 36 - iter 224/280 - loss 0.05904960 - time (sec): 14.21 - samples/sec: 11921.41 - lr: 0.100000
2023-04-05 12:25:53,256 epoch 36 - iter 252/280 - loss 0.05901778 - time (sec): 15.99 - samples/sec: 11928.99 - lr: 0.100000
2023-04-05 12:25:55,009 epoch 36 - iter 280/280 - loss 0.05867700 - time (sec): 17.74 - samples/sec: 11930.85 - lr: 0.100000
2023-04-05 12:25:55,010 ----------------------------------------------------------------------------------------------------
2023-04-05 12:25:55,010 EPOCH 36 done: loss 0.0587 - lr 0.100000
2023-04-05 12:25:55,010 BAD EPOCHS (no improvement): 0
2023-04-05 12:25:55,012 ----------------------------------------------------------------------------------------------------
2023-04-05 12:25:56,788 epoch 37 - iter 28/280 - loss 0.06013279 - time (sec): 1.78 - samples/sec: 11825.97 - lr: 0.100000
2023-04-05 12:25:58,585 epoch 37 - iter 56/280 - loss 0.05992245 - time (sec): 3.57 - samples/sec: 11827.41 - lr: 0.100000
2023-04-05 12:26:00,417 epoch 37 - iter 84/280 - loss 0.05797152 - time (sec): 5.40 - samples/sec: 11809.57 - lr: 0.100000
2023-04-05 12:26:02,245 epoch 37 - iter 112/280 - loss 0.05693965 - time (sec): 7.23 - samples/sec: 11755.47 - lr: 0.100000
2023-04-05 12:26:04,385 epoch 37 - iter 140/280 - loss 0.05800020 - time (sec): 9.37 - samples/sec: 11330.14 - lr: 0.100000
2023-04-05 12:26:06,533 epoch 37 - iter 168/280 - loss 0.05856194 - time (sec): 11.52 - samples/sec: 11079.23 - lr: 0.100000
2023-04-05 12:26:08,762 epoch 37 - iter 196/280 - loss 0.05795928 - time (sec): 13.75 - samples/sec: 10856.17 - lr: 0.100000
2023-04-05 12:26:10,575 epoch 37 - iter 224/280 - loss 0.05795219 - time (sec): 15.56 - samples/sec: 10935.45 - lr: 0.100000
2023-04-05 12:26:12,484 epoch 37 - iter 252/280 - loss 0.05764675 - time (sec): 17.47 - samples/sec: 10944.41 - lr: 0.100000
2023-04-05 12:26:14,382 epoch 37 - iter 280/280 - loss 0.05726973 - time (sec): 19.37 - samples/sec: 10928.82 - lr: 0.100000
2023-04-05 12:26:14,383 ----------------------------------------------------------------------------------------------------
2023-04-05 12:26:14,383 EPOCH 37 done: loss 0.0573 - lr 0.100000
2023-04-05 12:26:14,383 BAD EPOCHS (no improvement): 0
2023-04-05 12:26:14,386 ----------------------------------------------------------------------------------------------------
2023-04-05 12:26:16,327 epoch 38 - iter 28/280 - loss 0.05175947 - time (sec): 1.94 - samples/sec: 10771.93 - lr: 0.100000
2023-04-05 12:26:18,174 epoch 38 - iter 56/280 - loss 0.05541089 - time (sec): 3.79 - samples/sec: 11200.00 - lr: 0.100000
2023-04-05 12:26:20,101 epoch 38 - iter 84/280 - loss 0.05710665 - time (sec): 5.72 - samples/sec: 11074.02 - lr: 0.100000
2023-04-05 12:26:22,044 epoch 38 - iter 112/280 - loss 0.05872000 - time (sec): 7.66 - samples/sec: 11011.45 - lr: 0.100000
2023-04-05 12:26:24,122 epoch 38 - iter 140/280 - loss 0.05877345 - time (sec): 9.74 - samples/sec: 10862.69 - lr: 0.100000
2023-04-05 12:26:26,306 epoch 38 - iter 168/280 - loss 0.05833463 - time (sec): 11.92 - samples/sec: 10683.91 - lr: 0.100000
2023-04-05 12:26:28,598 epoch 38 - iter 196/280 - loss 0.05835588 - time (sec): 14.21 - samples/sec: 10456.14 - lr: 0.100000
2023-04-05 12:26:30,705 epoch 38 - iter 224/280 - loss 0.05795932 - time (sec): 16.32 - samples/sec: 10390.10 - lr: 0.100000
2023-04-05 12:26:32,857 epoch 38 - iter 252/280 - loss 0.05737856 - time (sec): 18.47 - samples/sec: 10328.06 - lr: 0.100000
2023-04-05 12:26:34,970 epoch 38 - iter 280/280 - loss 0.05727370 - time (sec): 20.58 - samples/sec: 10284.26 - lr: 0.100000
2023-04-05 12:26:34,970 ----------------------------------------------------------------------------------------------------
2023-04-05 12:26:34,970 EPOCH 38 done: loss 0.0573 - lr 0.100000
2023-04-05 12:26:34,970 BAD EPOCHS (no improvement): 1
2023-04-05 12:26:34,973 ----------------------------------------------------------------------------------------------------
2023-04-05 12:26:37,029 epoch 39 - iter 28/280 - loss 0.05095567 - time (sec): 2.06 - samples/sec: 10100.78 - lr: 0.100000
2023-04-05 12:26:38,905 epoch 39 - iter 56/280 - loss 0.05307843 - time (sec): 3.93 - samples/sec: 10646.61 - lr: 0.100000
2023-04-05 12:26:40,890 epoch 39 - iter 84/280 - loss 0.05507333 - time (sec): 5.92 - samples/sec: 10665.98 - lr: 0.100000
2023-04-05 12:26:43,045 epoch 39 - iter 112/280 - loss 0.05472224 - time (sec): 8.07 - samples/sec: 10502.71 - lr: 0.100000
2023-04-05 12:26:45,097 epoch 39 - iter 140/280 - loss 0.05356977 - time (sec): 10.12 - samples/sec: 10473.10 - lr: 0.100000
2023-04-05 12:26:47,127 epoch 39 - iter 168/280 - loss 0.05338023 - time (sec): 12.15 - samples/sec: 10447.90 - lr: 0.100000
2023-04-05 12:26:49,220 epoch 39 - iter 196/280 - loss 0.05398497 - time (sec): 14.25 - samples/sec: 10406.17 - lr: 0.100000
2023-04-05 12:26:51,337 epoch 39 - iter 224/280 - loss 0.05421164 - time (sec): 16.36 - samples/sec: 10360.08 - lr: 0.100000
2023-04-05 12:26:53,302 epoch 39 - iter 252/280 - loss 0.05438521 - time (sec): 18.33 - samples/sec: 10407.67 - lr: 0.100000
2023-04-05 12:26:55,265 epoch 39 - iter 280/280 - loss 0.05496496 - time (sec): 20.29 - samples/sec: 10432.28 - lr: 0.100000
2023-04-05 12:26:55,266 ----------------------------------------------------------------------------------------------------
2023-04-05 12:26:55,266 EPOCH 39 done: loss 0.0550 - lr 0.100000
2023-04-05 12:26:55,266 BAD EPOCHS (no improvement): 0
2023-04-05 12:26:55,269 ----------------------------------------------------------------------------------------------------
2023-04-05 12:26:57,181 epoch 40 - iter 28/280 - loss 0.05763058 - time (sec): 1.91 - samples/sec: 11059.92 - lr: 0.100000
2023-04-05 12:26:59,074 epoch 40 - iter 56/280 - loss 0.05659666 - time (sec): 3.80 - samples/sec: 11135.11 - lr: 0.100000
2023-04-05 12:27:00,988 epoch 40 - iter 84/280 - loss 0.05635188 - time (sec): 5.72 - samples/sec: 11134.68 - lr: 0.100000
2023-04-05 12:27:02,970 epoch 40 - iter 112/280 - loss 0.05548988 - time (sec): 7.70 - samples/sec: 11123.77 - lr: 0.100000
2023-04-05 12:27:04,843 epoch 40 - iter 140/280 - loss 0.05514720 - time (sec): 9.57 - samples/sec: 11134.57 - lr: 0.100000
2023-04-05 12:27:06,718 epoch 40 - iter 168/280 - loss 0.05422156 - time (sec): 11.45 - samples/sec: 11200.97 - lr: 0.100000
2023-04-05 12:27:08,607 epoch 40 - iter 196/280 - loss 0.05394410 - time (sec): 13.34 - samples/sec: 11197.25 - lr: 0.100000
2023-04-05 12:27:10,422 epoch 40 - iter 224/280 - loss 0.05385390 - time (sec): 15.15 - samples/sec: 11221.60 - lr: 0.100000
2023-04-05 12:27:12,281 epoch 40 - iter 252/280 - loss 0.05410054 - time (sec): 17.01 - samples/sec: 11227.89 - lr: 0.100000
2023-04-05 12:27:14,151 epoch 40 - iter 280/280 - loss 0.05472490 - time (sec): 18.88 - samples/sec: 11211.67 - lr: 0.100000
2023-04-05 12:27:14,151 ----------------------------------------------------------------------------------------------------
2023-04-05 12:27:14,151 EPOCH 40 done: loss 0.0547 - lr 0.100000
2023-04-05 12:27:14,151 BAD EPOCHS (no improvement): 0
2023-04-05 12:27:14,154 ----------------------------------------------------------------------------------------------------
2023-04-05 12:27:16,010 epoch 41 - iter 28/280 - loss 0.05133879 - time (sec): 1.86 - samples/sec: 11566.39 - lr: 0.100000
2023-04-05 12:27:17,872 epoch 41 - iter 56/280 - loss 0.05029111 - time (sec): 3.72 - samples/sec: 11452.04 - lr: 0.100000
2023-04-05 12:27:19,769 epoch 41 - iter 84/280 - loss 0.05079256 - time (sec): 5.61 - samples/sec: 11336.20 - lr: 0.100000
2023-04-05 12:27:21,602 epoch 41 - iter 112/280 - loss 0.05280606 - time (sec): 7.45 - samples/sec: 11299.92 - lr: 0.100000
2023-04-05 12:27:23,456 epoch 41 - iter 140/280 - loss 0.05267116 - time (sec): 9.30 - samples/sec: 11309.00 - lr: 0.100000
2023-04-05 12:27:25,307 epoch 41 - iter 168/280 - loss 0.05364779 - time (sec): 11.15 - samples/sec: 11304.89 - lr: 0.100000
2023-04-05 12:27:27,221 epoch 41 - iter 196/280 - loss 0.05388049 - time (sec): 13.07 - samples/sec: 11310.96 - lr: 0.100000
2023-04-05 12:27:29,058 epoch 41 - iter 224/280 - loss 0.05377727 - time (sec): 14.90 - samples/sec: 11344.71 - lr: 0.100000
2023-04-05 12:27:30,961 epoch 41 - iter 252/280 - loss 0.05352465 - time (sec): 16.81 - samples/sec: 11356.90 - lr: 0.100000
2023-04-05 12:27:32,741 epoch 41 - iter 280/280 - loss 0.05318994 - time (sec): 18.59 - samples/sec: 11389.23 - lr: 0.100000
2023-04-05 12:27:32,741 ----------------------------------------------------------------------------------------------------
2023-04-05 12:27:32,741 EPOCH 41 done: loss 0.0532 - lr 0.100000
2023-04-05 12:27:32,741 BAD EPOCHS (no improvement): 0
2023-04-05 12:27:32,744 ----------------------------------------------------------------------------------------------------
2023-04-05 12:27:34,628 epoch 42 - iter 28/280 - loss 0.04696316 - time (sec): 1.88 - samples/sec: 11027.30 - lr: 0.100000
2023-04-05 12:27:36,630 epoch 42 - iter 56/280 - loss 0.04753236 - time (sec): 3.89 - samples/sec: 10766.52 - lr: 0.100000
2023-04-05 12:27:38,468 epoch 42 - iter 84/280 - loss 0.04964822 - time (sec): 5.72 - samples/sec: 10959.88 - lr: 0.100000
2023-04-05 12:27:40,300 epoch 42 - iter 112/280 - loss 0.05073931 - time (sec): 7.56 - samples/sec: 11129.73 - lr: 0.100000
2023-04-05 12:27:42,164 epoch 42 - iter 140/280 - loss 0.05037129 - time (sec): 9.42 - samples/sec: 11216.81 - lr: 0.100000
2023-04-05 12:27:43,997 epoch 42 - iter 168/280 - loss 0.05113377 - time (sec): 11.25 - samples/sec: 11297.69 - lr: 0.100000
2023-04-05 12:27:45,775 epoch 42 - iter 196/280 - loss 0.05179043 - time (sec): 13.03 - samples/sec: 11375.55 - lr: 0.100000
2023-04-05 12:27:47,599 epoch 42 - iter 224/280 - loss 0.05238981 - time (sec): 14.86 - samples/sec: 11415.93 - lr: 0.100000
2023-04-05 12:27:49,412 epoch 42 - iter 252/280 - loss 0.05294509 - time (sec): 16.67 - samples/sec: 11452.40 - lr: 0.100000
2023-04-05 12:27:51,146 epoch 42 - iter 280/280 - loss 0.05367372 - time (sec): 18.40 - samples/sec: 11503.33 - lr: 0.100000
2023-04-05 12:27:51,147 ----------------------------------------------------------------------------------------------------
2023-04-05 12:27:51,147 EPOCH 42 done: loss 0.0537 - lr 0.100000
2023-04-05 12:27:51,147 BAD EPOCHS (no improvement): 1
2023-04-05 12:27:51,150 ----------------------------------------------------------------------------------------------------
2023-04-05 12:27:53,020 epoch 43 - iter 28/280 - loss 0.05479165 - time (sec): 1.87 - samples/sec: 11321.12 - lr: 0.100000
2023-04-05 12:27:54,807 epoch 43 - iter 56/280 - loss 0.05135906 - time (sec): 3.66 - samples/sec: 11432.55 - lr: 0.100000
2023-04-05 12:27:56,664 epoch 43 - iter 84/280 - loss 0.05139251 - time (sec): 5.51 - samples/sec: 11437.13 - lr: 0.100000
2023-04-05 12:27:58,576 epoch 43 - iter 112/280 - loss 0.05194740 - time (sec): 7.43 - samples/sec: 11400.02 - lr: 0.100000
2023-04-05 12:28:00,435 epoch 43 - iter 140/280 - loss 0.05294963 - time (sec): 9.29 - samples/sec: 11415.59 - lr: 0.100000
2023-04-05 12:28:02,277 epoch 43 - iter 168/280 - loss 0.05355616 - time (sec): 11.13 - samples/sec: 11431.54 - lr: 0.100000
2023-04-05 12:28:04,134 epoch 43 - iter 196/280 - loss 0.05404020 - time (sec): 12.98 - samples/sec: 11433.95 - lr: 0.100000
2023-04-05 12:28:06,004 epoch 43 - iter 224/280 - loss 0.05364959 - time (sec): 14.85 - samples/sec: 11447.17 - lr: 0.100000
2023-04-05 12:28:07,850 epoch 43 - iter 252/280 - loss 0.05328272 - time (sec): 16.70 - samples/sec: 11441.04 - lr: 0.100000
2023-04-05 12:28:09,638 epoch 43 - iter 280/280 - loss 0.05315634 - time (sec): 18.49 - samples/sec: 11450.10 - lr: 0.100000
2023-04-05 12:28:09,638 ----------------------------------------------------------------------------------------------------
2023-04-05 12:28:09,638 EPOCH 43 done: loss 0.0532 - lr 0.100000
2023-04-05 12:28:09,638 BAD EPOCHS (no improvement): 0
2023-04-05 12:28:09,641 ----------------------------------------------------------------------------------------------------
2023-04-05 12:28:11,490 epoch 44 - iter 28/280 - loss 0.04734325 - time (sec): 1.85 - samples/sec: 11350.58 - lr: 0.100000
2023-04-05 12:28:13,326 epoch 44 - iter 56/280 - loss 0.04683142 - time (sec): 3.69 - samples/sec: 11486.93 - lr: 0.100000
2023-04-05 12:28:15,158 epoch 44 - iter 84/280 - loss 0.04931691 - time (sec): 5.52 - samples/sec: 11457.36 - lr: 0.100000
2023-04-05 12:28:17,004 epoch 44 - iter 112/280 - loss 0.05083738 - time (sec): 7.36 - samples/sec: 11398.06 - lr: 0.100000
2023-04-05 12:28:18,899 epoch 44 - iter 140/280 - loss 0.05210157 - time (sec): 9.26 - samples/sec: 11333.81 - lr: 0.100000
2023-04-05 12:28:20,809 epoch 44 - iter 168/280 - loss 0.05187500 - time (sec): 11.17 - samples/sec: 11294.37 - lr: 0.100000
2023-04-05 12:28:22,713 epoch 44 - iter 196/280 - loss 0.05196037 - time (sec): 13.07 - samples/sec: 11311.26 - lr: 0.100000
2023-04-05 12:28:24,644 epoch 44 - iter 224/280 - loss 0.05224824 - time (sec): 15.00 - samples/sec: 11286.39 - lr: 0.100000
2023-04-05 12:28:26,510 epoch 44 - iter 252/280 - loss 0.05295579 - time (sec): 16.87 - samples/sec: 11308.30 - lr: 0.100000
2023-04-05 12:28:28,337 epoch 44 - iter 280/280 - loss 0.05252413 - time (sec): 18.70 - samples/sec: 11322.88 - lr: 0.100000
2023-04-05 12:28:28,337 ----------------------------------------------------------------------------------------------------
2023-04-05 12:28:28,337 EPOCH 44 done: loss 0.0525 - lr 0.100000
2023-04-05 12:28:28,337 BAD EPOCHS (no improvement): 0
2023-04-05 12:28:28,340 ----------------------------------------------------------------------------------------------------
2023-04-05 12:28:30,224 epoch 45 - iter 28/280 - loss 0.05220876 - time (sec): 1.88 - samples/sec: 11273.48 - lr: 0.100000
2023-04-05 12:28:32,051 epoch 45 - iter 56/280 - loss 0.05278899 - time (sec): 3.71 - samples/sec: 11380.31 - lr: 0.100000
2023-04-05 12:28:33,917 epoch 45 - iter 84/280 - loss 0.05173796 - time (sec): 5.58 - samples/sec: 11479.99 - lr: 0.100000
2023-04-05 12:28:35,723 epoch 45 - iter 112/280 - loss 0.05131007 - time (sec): 7.38 - samples/sec: 11503.34 - lr: 0.100000
2023-04-05 12:28:37,530 epoch 45 - iter 140/280 - loss 0.05065878 - time (sec): 9.19 - samples/sec: 11533.26 - lr: 0.100000
2023-04-05 12:28:39,503 epoch 45 - iter 168/280 - loss 0.05103024 - time (sec): 11.16 - samples/sec: 11422.45 - lr: 0.100000
2023-04-05 12:28:41,465 epoch 45 - iter 196/280 - loss 0.05080809 - time (sec): 13.13 - samples/sec: 11315.26 - lr: 0.100000
2023-04-05 12:28:43,403 epoch 45 - iter 224/280 - loss 0.05076022 - time (sec): 15.06 - samples/sec: 11268.09 - lr: 0.100000
2023-04-05 12:28:45,308 epoch 45 - iter 252/280 - loss 0.05132146 - time (sec): 16.97 - samples/sec: 11257.52 - lr: 0.100000
2023-04-05 12:28:47,106 epoch 45 - iter 280/280 - loss 0.05070392 - time (sec): 18.77 - samples/sec: 11280.66 - lr: 0.100000
2023-04-05 12:28:47,106 ----------------------------------------------------------------------------------------------------
2023-04-05 12:28:47,106 EPOCH 45 done: loss 0.0507 - lr 0.100000
2023-04-05 12:28:47,106 BAD EPOCHS (no improvement): 0
2023-04-05 12:28:47,108 ----------------------------------------------------------------------------------------------------
2023-04-05 12:28:48,944 epoch 46 - iter 28/280 - loss 0.05015353 - time (sec): 1.84 - samples/sec: 11420.12 - lr: 0.100000
2023-04-05 12:28:50,701 epoch 46 - iter 56/280 - loss 0.05145854 - time (sec): 3.59 - samples/sec: 11638.02 - lr: 0.100000
2023-04-05 12:28:52,480 epoch 46 - iter 84/280 - loss 0.05272239 - time (sec): 5.37 - samples/sec: 11692.08 - lr: 0.100000
2023-04-05 12:28:54,240 epoch 46 - iter 112/280 - loss 0.05167574 - time (sec): 7.13 - samples/sec: 11724.12 - lr: 0.100000
2023-04-05 12:28:56,059 epoch 46 - iter 140/280 - loss 0.05168138 - time (sec): 8.95 - samples/sec: 11701.38 - lr: 0.100000
2023-04-05 12:28:57,930 epoch 46 - iter 168/280 - loss 0.05155994 - time (sec): 10.82 - samples/sec: 11675.99 - lr: 0.100000
2023-04-05 12:28:59,830 epoch 46 - iter 196/280 - loss 0.05152351 - time (sec): 12.72 - samples/sec: 11624.63 - lr: 0.100000
2023-04-05 12:29:01,734 epoch 46 - iter 224/280 - loss 0.05110945 - time (sec): 14.63 - samples/sec: 11585.65 - lr: 0.100000
2023-04-05 12:29:03,644 epoch 46 - iter 252/280 - loss 0.05121172 - time (sec): 16.54 - samples/sec: 11558.56 - lr: 0.100000
2023-04-05 12:29:05,423 epoch 46 - iter 280/280 - loss 0.05151913 - time (sec): 18.31 - samples/sec: 11558.55 - lr: 0.100000
2023-04-05 12:29:05,423 ----------------------------------------------------------------------------------------------------
2023-04-05 12:29:05,423 EPOCH 46 done: loss 0.0515 - lr 0.100000
2023-04-05 12:29:05,423 BAD EPOCHS (no improvement): 1
2023-04-05 12:29:05,426 ----------------------------------------------------------------------------------------------------
2023-04-05 12:29:07,226 epoch 47 - iter 28/280 - loss 0.04645438 - time (sec): 1.80 - samples/sec: 11688.17 - lr: 0.100000
2023-04-05 12:29:09,034 epoch 47 - iter 56/280 - loss 0.04576975 - time (sec): 3.61 - samples/sec: 11689.19 - lr: 0.100000
2023-04-05 12:29:10,855 epoch 47 - iter 84/280 - loss 0.04779005 - time (sec): 5.43 - samples/sec: 11647.37 - lr: 0.100000
2023-04-05 12:29:12,686 epoch 47 - iter 112/280 - loss 0.04867231 - time (sec): 7.26 - samples/sec: 11655.27 - lr: 0.100000
2023-04-05 12:29:14,496 epoch 47 - iter 140/280 - loss 0.04826514 - time (sec): 9.07 - samples/sec: 11664.07 - lr: 0.100000
2023-04-05 12:29:16,405 epoch 47 - iter 168/280 - loss 0.04891596 - time (sec): 10.98 - samples/sec: 11624.04 - lr: 0.100000
2023-04-05 12:29:18,210 epoch 47 - iter 196/280 - loss 0.04879359 - time (sec): 12.78 - samples/sec: 11629.71 - lr: 0.100000
2023-04-05 12:29:20,033 epoch 47 - iter 224/280 - loss 0.04889341 - time (sec): 14.61 - samples/sec: 11614.54 - lr: 0.100000
2023-04-05 12:29:21,852 epoch 47 - iter 252/280 - loss 0.04935691 - time (sec): 16.43 - samples/sec: 11626.25 - lr: 0.100000
2023-04-05 12:29:23,634 epoch 47 - iter 280/280 - loss 0.04970192 - time (sec): 18.21 - samples/sec: 11626.13 - lr: 0.100000
2023-04-05 12:29:23,634 ----------------------------------------------------------------------------------------------------
2023-04-05 12:29:23,634 EPOCH 47 done: loss 0.0497 - lr 0.100000
2023-04-05 12:29:23,634 BAD EPOCHS (no improvement): 0
2023-04-05 12:29:23,637 ----------------------------------------------------------------------------------------------------
2023-04-05 12:29:25,474 epoch 48 - iter 28/280 - loss 0.05052552 - time (sec): 1.84 - samples/sec: 11461.71 - lr: 0.100000
2023-04-05 12:29:27,269 epoch 48 - iter 56/280 - loss 0.04757739 - time (sec): 3.63 - samples/sec: 11613.50 - lr: 0.100000
2023-04-05 12:29:29,151 epoch 48 - iter 84/280 - loss 0.04888798 - time (sec): 5.51 - samples/sec: 11551.53 - lr: 0.100000
2023-04-05 12:29:31,026 epoch 48 - iter 112/280 - loss 0.04792818 - time (sec): 7.39 - samples/sec: 11485.54 - lr: 0.100000
2023-04-05 12:29:32,872 epoch 48 - iter 140/280 - loss 0.04800937 - time (sec): 9.23 - samples/sec: 11469.26 - lr: 0.100000
2023-04-05 12:29:34,759 epoch 48 - iter 168/280 - loss 0.04823423 - time (sec): 11.12 - samples/sec: 11479.93 - lr: 0.100000
2023-04-05 12:29:36,628 epoch 48 - iter 196/280 - loss 0.04874241 - time (sec): 12.99 - samples/sec: 11490.80 - lr: 0.100000
2023-04-05 12:29:38,458 epoch 48 - iter 224/280 - loss 0.04938117 - time (sec): 14.82 - samples/sec: 11479.73 - lr: 0.100000
2023-04-05 12:29:40,349 epoch 48 - iter 252/280 - loss 0.04937156 - time (sec): 16.71 - samples/sec: 11439.81 - lr: 0.100000
2023-04-05 12:29:42,195 epoch 48 - iter 280/280 - loss 0.04995075 - time (sec): 18.56 - samples/sec: 11407.07 - lr: 0.100000
2023-04-05 12:29:42,195 ----------------------------------------------------------------------------------------------------
2023-04-05 12:29:42,195 EPOCH 48 done: loss 0.0500 - lr 0.100000
2023-04-05 12:29:42,195 BAD EPOCHS (no improvement): 1
2023-04-05 12:29:42,198 ----------------------------------------------------------------------------------------------------
2023-04-05 12:29:44,015 epoch 49 - iter 28/280 - loss 0.04364466 - time (sec): 1.82 - samples/sec: 11590.12 - lr: 0.100000
2023-04-05 12:29:45,815 epoch 49 - iter 56/280 - loss 0.04665024 - time (sec): 3.62 - samples/sec: 11610.40 - lr: 0.100000
2023-04-05 12:29:47,705 epoch 49 - iter 84/280 - loss 0.04879735 - time (sec): 5.51 - samples/sec: 11553.80 - lr: 0.100000
2023-04-05 12:29:49,500 epoch 49 - iter 112/280 - loss 0.04873817 - time (sec): 7.30 - samples/sec: 11569.27 - lr: 0.100000
2023-04-05 12:29:51,304 epoch 49 - iter 140/280 - loss 0.04788705 - time (sec): 9.11 - samples/sec: 11599.32 - lr: 0.100000
2023-04-05 12:29:53,140 epoch 49 - iter 168/280 - loss 0.04834774 - time (sec): 10.94 - samples/sec: 11614.13 - lr: 0.100000
2023-04-05 12:29:54,970 epoch 49 - iter 196/280 - loss 0.04886697 - time (sec): 12.77 - samples/sec: 11623.18 - lr: 0.100000
2023-04-05 12:29:56,752 epoch 49 - iter 224/280 - loss 0.04895124 - time (sec): 14.55 - samples/sec: 11685.58 - lr: 0.100000
2023-04-05 12:29:58,553 epoch 49 - iter 252/280 - loss 0.04894703 - time (sec): 16.35 - samples/sec: 11680.90 - lr: 0.100000
2023-04-05 12:30:00,328 epoch 49 - iter 280/280 - loss 0.04891224 - time (sec): 18.13 - samples/sec: 11676.42 - lr: 0.100000
2023-04-05 12:30:00,328 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:00,328 EPOCH 49 done: loss 0.0489 - lr 0.100000
2023-04-05 12:30:00,328 BAD EPOCHS (no improvement): 0
2023-04-05 12:30:00,334 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:02,237 epoch 50 - iter 28/280 - loss 0.04720788 - time (sec): 1.90 - samples/sec: 11412.19 - lr: 0.100000
2023-04-05 12:30:04,108 epoch 50 - iter 56/280 - loss 0.04945257 - time (sec): 3.77 - samples/sec: 11473.29 - lr: 0.100000
2023-04-05 12:30:05,983 epoch 50 - iter 84/280 - loss 0.04854760 - time (sec): 5.65 - samples/sec: 11424.33 - lr: 0.100000
2023-04-05 12:30:07,778 epoch 50 - iter 112/280 - loss 0.04770403 - time (sec): 7.44 - samples/sec: 11467.05 - lr: 0.100000
2023-04-05 12:30:09,656 epoch 50 - iter 140/280 - loss 0.04763042 - time (sec): 9.32 - samples/sec: 11441.82 - lr: 0.100000
2023-04-05 12:30:11,459 epoch 50 - iter 168/280 - loss 0.04798018 - time (sec): 11.12 - samples/sec: 11498.20 - lr: 0.100000
2023-04-05 12:30:13,245 epoch 50 - iter 196/280 - loss 0.04793546 - time (sec): 12.91 - samples/sec: 11520.63 - lr: 0.100000
2023-04-05 12:30:15,070 epoch 50 - iter 224/280 - loss 0.04828409 - time (sec): 14.74 - samples/sec: 11538.51 - lr: 0.100000
2023-04-05 12:30:16,857 epoch 50 - iter 252/280 - loss 0.04814323 - time (sec): 16.52 - samples/sec: 11567.95 - lr: 0.100000
2023-04-05 12:30:18,633 epoch 50 - iter 280/280 - loss 0.04836028 - time (sec): 18.30 - samples/sec: 11568.42 - lr: 0.100000
2023-04-05 12:30:18,633 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:18,633 EPOCH 50 done: loss 0.0484 - lr 0.100000
2023-04-05 12:30:18,634 BAD EPOCHS (no improvement): 0
2023-04-05 12:30:18,636 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:20,466 epoch 51 - iter 28/280 - loss 0.04595702 - time (sec): 1.83 - samples/sec: 11621.14 - lr: 0.100000
2023-04-05 12:30:22,361 epoch 51 - iter 56/280 - loss 0.04593702 - time (sec): 3.73 - samples/sec: 11400.41 - lr: 0.100000
2023-04-05 12:30:24,209 epoch 51 - iter 84/280 - loss 0.04643179 - time (sec): 5.57 - samples/sec: 11519.09 - lr: 0.100000
2023-04-05 12:30:25,993 epoch 51 - iter 112/280 - loss 0.04644606 - time (sec): 7.36 - samples/sec: 11552.78 - lr: 0.100000
2023-04-05 12:30:27,814 epoch 51 - iter 140/280 - loss 0.04660918 - time (sec): 9.18 - samples/sec: 11560.93 - lr: 0.100000
2023-04-05 12:30:29,708 epoch 51 - iter 168/280 - loss 0.04643912 - time (sec): 11.07 - samples/sec: 11556.71 - lr: 0.100000
2023-04-05 12:30:31,501 epoch 51 - iter 196/280 - loss 0.04723581 - time (sec): 12.87 - samples/sec: 11578.17 - lr: 0.100000
2023-04-05 12:30:33,342 epoch 51 - iter 224/280 - loss 0.04756712 - time (sec): 14.71 - samples/sec: 11552.65 - lr: 0.100000
2023-04-05 12:30:35,137 epoch 51 - iter 252/280 - loss 0.04725738 - time (sec): 16.50 - samples/sec: 11558.00 - lr: 0.100000
2023-04-05 12:30:37,016 epoch 51 - iter 280/280 - loss 0.04726591 - time (sec): 18.38 - samples/sec: 11517.68 - lr: 0.100000
2023-04-05 12:30:37,016 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:37,016 EPOCH 51 done: loss 0.0473 - lr 0.100000
2023-04-05 12:30:37,016 BAD EPOCHS (no improvement): 0
2023-04-05 12:30:37,019 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:38,916 epoch 52 - iter 28/280 - loss 0.04766266 - time (sec): 1.90 - samples/sec: 11304.11 - lr: 0.100000
2023-04-05 12:30:40,749 epoch 52 - iter 56/280 - loss 0.04412015 - time (sec): 3.73 - samples/sec: 11406.04 - lr: 0.100000
2023-04-05 12:30:42,619 epoch 52 - iter 84/280 - loss 0.04521238 - time (sec): 5.60 - samples/sec: 11370.68 - lr: 0.100000
2023-04-05 12:30:44,522 epoch 52 - iter 112/280 - loss 0.04738426 - time (sec): 7.50 - samples/sec: 11385.79 - lr: 0.100000
2023-04-05 12:30:47,994 epoch 52 - iter 140/280 - loss 0.04767212 - time (sec): 10.98 - samples/sec: 9741.46 - lr: 0.100000
2023-04-05 12:30:49,882 epoch 52 - iter 168/280 - loss 0.04739282 - time (sec): 12.86 - samples/sec: 9981.99 - lr: 0.100000
2023-04-05 12:30:51,731 epoch 52 - iter 196/280 - loss 0.04723789 - time (sec): 14.71 - samples/sec: 10164.44 - lr: 0.100000
2023-04-05 12:30:53,534 epoch 52 - iter 224/280 - loss 0.04689604 - time (sec): 16.52 - samples/sec: 10325.98 - lr: 0.100000
2023-04-05 12:30:55,324 epoch 52 - iter 252/280 - loss 0.04773416 - time (sec): 18.31 - samples/sec: 10464.22 - lr: 0.100000
2023-04-05 12:30:57,048 epoch 52 - iter 280/280 - loss 0.04746317 - time (sec): 20.03 - samples/sec: 10569.05 - lr: 0.100000
2023-04-05 12:30:57,048 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:57,048 EPOCH 52 done: loss 0.0475 - lr 0.100000
2023-04-05 12:30:57,048 BAD EPOCHS (no improvement): 1
2023-04-05 12:30:57,051 ----------------------------------------------------------------------------------------------------
2023-04-05 12:30:58,855 epoch 53 - iter 28/280 - loss 0.04314756 - time (sec): 1.80 - samples/sec: 11621.83 - lr: 0.100000
2023-04-05 12:31:00,719 epoch 53 - iter 56/280 - loss 0.04522816 - time (sec): 3.67 - samples/sec: 11556.39 - lr: 0.100000
2023-04-05 12:31:02,593 epoch 53 - iter 84/280 - loss 0.04669555 - time (sec): 5.54 - samples/sec: 11522.51 - lr: 0.100000
2023-04-05 12:31:04,392 epoch 53 - iter 112/280 - loss 0.04614759 - time (sec): 7.34 - samples/sec: 11539.27 - lr: 0.100000
2023-04-05 12:31:06,245 epoch 53 - iter 140/280 - loss 0.04582768 - time (sec): 9.19 - samples/sec: 11519.35 - lr: 0.100000
2023-04-05 12:31:08,102 epoch 53 - iter 168/280 - loss 0.04585826 - time (sec): 11.05 - samples/sec: 11506.80 - lr: 0.100000
2023-04-05 12:31:09,938 epoch 53 - iter 196/280 - loss 0.04660478 - time (sec): 12.89 - samples/sec: 11512.30 - lr: 0.100000
2023-04-05 12:31:11,793 epoch 53 - iter 224/280 - loss 0.04707106 - time (sec): 14.74 - samples/sec: 11504.96 - lr: 0.100000
2023-04-05 12:31:13,649 epoch 53 - iter 252/280 - loss 0.04704281 - time (sec): 16.60 - samples/sec: 11536.09 - lr: 0.100000
2023-04-05 12:31:15,433 epoch 53 - iter 280/280 - loss 0.04719448 - time (sec): 18.38 - samples/sec: 11516.20 - lr: 0.100000
2023-04-05 12:31:15,433 ----------------------------------------------------------------------------------------------------
2023-04-05 12:31:15,434 EPOCH 53 done: loss 0.0472 - lr 0.100000
2023-04-05 12:31:15,434 BAD EPOCHS (no improvement): 0
2023-04-05 12:31:15,436 ----------------------------------------------------------------------------------------------------
2023-04-05 12:31:17,257 epoch 54 - iter 28/280 - loss 0.04512145 - time (sec): 1.82 - samples/sec: 11800.19 - lr: 0.100000
2023-04-05 12:31:19,051 epoch 54 - iter 56/280 - loss 0.04558454 - time (sec): 3.61 - samples/sec: 11798.46 - lr: 0.100000
2023-04-05 12:31:20,795 epoch 54 - iter 84/280 - loss 0.04443583 - time (sec): 5.36 - samples/sec: 11872.86 - lr: 0.100000
2023-04-05 12:31:22,588 epoch 54 - iter 112/280 - loss 0.04401755 - time (sec): 7.15 - samples/sec: 11843.92 - lr: 0.100000
2023-04-05 12:31:24,444 epoch 54 - iter 140/280 - loss 0.04348870 - time (sec): 9.01 - samples/sec: 11786.43 - lr: 0.100000
2023-04-05 12:31:26,233 epoch 54 - iter 168/280 - loss 0.04351188 - time (sec): 10.80 - samples/sec: 11781.20 - lr: 0.100000
2023-04-05 12:31:28,082 epoch 54 - iter 196/280 - loss 0.04466705 - time (sec): 12.65 - samples/sec: 11731.38 - lr: 0.100000
2023-04-05 12:31:29,987 epoch 54 - iter 224/280 - loss 0.04518353 - time (sec): 14.55 - samples/sec: 11706.67 - lr: 0.100000
2023-04-05 12:31:31,874 epoch 54 - iter 252/280 - loss 0.04548127 - time (sec): 16.44 - samples/sec: 11628.48 - lr: 0.100000
2023-04-05 12:31:33,671 epoch 54 - iter 280/280 - loss 0.04592624 - time (sec): 18.23 - samples/sec: 11609.50 - lr: 0.100000
2023-04-05 12:31:33,671 ----------------------------------------------------------------------------------------------------
2023-04-05 12:31:33,671 EPOCH 54 done: loss 0.0459 - lr 0.100000
2023-04-05 12:31:33,671 BAD EPOCHS (no improvement): 0
2023-04-05 12:31:33,674 ----------------------------------------------------------------------------------------------------
2023-04-05 12:31:35,540 epoch 55 - iter 28/280 - loss 0.04972067 - time (sec): 1.87 - samples/sec: 11558.15 - lr: 0.100000
2023-04-05 12:31:37,457 epoch 55 - iter 56/280 - loss 0.04701307 - time (sec): 3.78 - samples/sec: 11279.27 - lr: 0.100000
2023-04-05 12:31:39,391 epoch 55 - iter 84/280 - loss 0.04534030 - time (sec): 5.72 - samples/sec: 11247.75 - lr: 0.100000
2023-04-05 12:31:41,442 epoch 55 - iter 112/280 - loss 0.04560263 - time (sec): 7.77 - samples/sec: 10991.23 - lr: 0.100000
2023-04-05 12:31:43,401 epoch 55 - iter 140/280 - loss 0.04544184 - time (sec): 9.73 - samples/sec: 10915.83 - lr: 0.100000
2023-04-05 12:31:45,426 epoch 55 - iter 168/280 - loss 0.04591371 - time (sec): 11.75 - samples/sec: 10857.77 - lr: 0.100000
2023-04-05 12:31:47,408 epoch 55 - iter 196/280 - loss 0.04620988 - time (sec): 13.73 - samples/sec: 10863.71 - lr: 0.100000
2023-04-05 12:31:49,467 epoch 55 - iter 224/280 - loss 0.04631044 - time (sec): 15.79 - samples/sec: 10790.20 - lr: 0.100000
2023-04-05 12:31:51,531 epoch 55 - iter 252/280 - loss 0.04621822 - time (sec): 17.86 - samples/sec: 10710.92 - lr: 0.100000
2023-04-05 12:31:53,394 epoch 55 - iter 280/280 - loss 0.04612471 - time (sec): 19.72 - samples/sec: 10734.39 - lr: 0.100000
2023-04-05 12:31:53,395 ----------------------------------------------------------------------------------------------------
2023-04-05 12:31:53,395 EPOCH 55 done: loss 0.0461 - lr 0.100000
2023-04-05 12:31:53,395 BAD EPOCHS (no improvement): 1
2023-04-05 12:31:53,398 ----------------------------------------------------------------------------------------------------
2023-04-05 12:31:55,263 epoch 56 - iter 28/280 - loss 0.04167855 - time (sec): 1.87 - samples/sec: 11243.30 - lr: 0.100000
2023-04-05 12:31:57,201 epoch 56 - iter 56/280 - loss 0.04260661 - time (sec): 3.80 - samples/sec: 11018.85 - lr: 0.100000
2023-04-05 12:31:59,089 epoch 56 - iter 84/280 - loss 0.04360536 - time (sec): 5.69 - samples/sec: 11152.88 - lr: 0.100000
2023-04-05 12:32:01,062 epoch 56 - iter 112/280 - loss 0.04384807 - time (sec): 7.66 - samples/sec: 11070.98 - lr: 0.100000
2023-04-05 12:32:03,005 epoch 56 - iter 140/280 - loss 0.04507854 - time (sec): 9.61 - samples/sec: 11101.04 - lr: 0.100000
2023-04-05 12:32:04,900 epoch 56 - iter 168/280 - loss 0.04479986 - time (sec): 11.50 - samples/sec: 11084.09 - lr: 0.100000
2023-04-05 12:32:06,854 epoch 56 - iter 196/280 - loss 0.04449659 - time (sec): 13.46 - samples/sec: 11081.41 - lr: 0.100000
2023-04-05 12:32:08,769 epoch 56 - iter 224/280 - loss 0.04467652 - time (sec): 15.37 - samples/sec: 11082.13 - lr: 0.100000
2023-04-05 12:32:10,541 epoch 56 - iter 252/280 - loss 0.04511162 - time (sec): 17.14 - samples/sec: 11140.24 - lr: 0.100000
2023-04-05 12:32:12,396 epoch 56 - iter 280/280 - loss 0.04495440 - time (sec): 19.00 - samples/sec: 11142.61 - lr: 0.100000
2023-04-05 12:32:12,396 ----------------------------------------------------------------------------------------------------
2023-04-05 12:32:12,396 EPOCH 56 done: loss 0.0450 - lr 0.100000
2023-04-05 12:32:12,396 BAD EPOCHS (no improvement): 0
2023-04-05 12:32:12,399 ----------------------------------------------------------------------------------------------------
2023-04-05 12:32:14,291 epoch 57 - iter 28/280 - loss 0.04525962 - time (sec): 1.89 - samples/sec: 11301.12 - lr: 0.100000
2023-04-05 12:32:16,150 epoch 57 - iter 56/280 - loss 0.04637053 - time (sec): 3.75 - samples/sec: 11384.69 - lr: 0.100000
2023-04-05 12:32:18,027 epoch 57 - iter 84/280 - loss 0.04743222 - time (sec): 5.63 - samples/sec: 11299.52 - lr: 0.100000
2023-04-05 12:32:19,860 epoch 57 - iter 112/280 - loss 0.04614799 - time (sec): 7.46 - samples/sec: 11363.76 - lr: 0.100000
2023-04-05 12:32:21,741 epoch 57 - iter 140/280 - loss 0.04672769 - time (sec): 9.34 - samples/sec: 11322.94 - lr: 0.100000
2023-04-05 12:32:23,614 epoch 57 - iter 168/280 - loss 0.04645928 - time (sec): 11.21 - samples/sec: 11350.49 - lr: 0.100000
2023-04-05 12:32:25,537 epoch 57 - iter 196/280 - loss 0.04618200 - time (sec): 13.14 - samples/sec: 11333.81 - lr: 0.100000
2023-04-05 12:32:27,410 epoch 57 - iter 224/280 - loss 0.04555406 - time (sec): 15.01 - samples/sec: 11313.15 - lr: 0.100000
2023-04-05 12:32:29,307 epoch 57 - iter 252/280 - loss 0.04507762 - time (sec): 16.91 - samples/sec: 11292.68 - lr: 0.100000
2023-04-05 12:32:31,333 epoch 57 - iter 280/280 - loss 0.04559135 - time (sec): 18.93 - samples/sec: 11180.72 - lr: 0.100000
2023-04-05 12:32:31,333 ----------------------------------------------------------------------------------------------------
2023-04-05 12:32:31,333 EPOCH 57 done: loss 0.0456 - lr 0.100000
2023-04-05 12:32:31,333 BAD EPOCHS (no improvement): 1
2023-04-05 12:32:31,336 ----------------------------------------------------------------------------------------------------
2023-04-05 12:32:33,394 epoch 58 - iter 28/280 - loss 0.04506116 - time (sec): 2.06 - samples/sec: 10395.55 - lr: 0.100000
2023-04-05 12:32:35,313 epoch 58 - iter 56/280 - loss 0.04334393 - time (sec): 3.98 - samples/sec: 10708.63 - lr: 0.100000
2023-04-05 12:32:37,139 epoch 58 - iter 84/280 - loss 0.04230944 - time (sec): 5.80 - samples/sec: 10980.11 - lr: 0.100000
2023-04-05 12:32:39,043 epoch 58 - iter 112/280 - loss 0.04350389 - time (sec): 7.71 - samples/sec: 10970.64 - lr: 0.100000
2023-04-05 12:32:41,005 epoch 58 - iter 140/280 - loss 0.04319120 - time (sec): 9.67 - samples/sec: 10916.37 - lr: 0.100000
2023-04-05 12:32:42,866 epoch 58 - iter 168/280 - loss 0.04352829 - time (sec): 11.53 - samples/sec: 10974.84 - lr: 0.100000
2023-04-05 12:32:44,783 epoch 58 - iter 196/280 - loss 0.04334936 - time (sec): 13.45 - samples/sec: 10985.57 - lr: 0.100000
2023-04-05 12:32:46,636 epoch 58 - iter 224/280 - loss 0.04364967 - time (sec): 15.30 - samples/sec: 11063.87 - lr: 0.100000
2023-04-05 12:32:48,501 epoch 58 - iter 252/280 - loss 0.04427853 - time (sec): 17.16 - samples/sec: 11128.80 - lr: 0.100000
2023-04-05 12:32:50,313 epoch 58 - iter 280/280 - loss 0.04439988 - time (sec): 18.98 - samples/sec: 11155.04 - lr: 0.100000
2023-04-05 12:32:50,314 ----------------------------------------------------------------------------------------------------
2023-04-05 12:32:50,314 EPOCH 58 done: loss 0.0444 - lr 0.100000
2023-04-05 12:32:50,314 BAD EPOCHS (no improvement): 0
2023-04-05 12:32:50,317 ----------------------------------------------------------------------------------------------------
2023-04-05 12:32:52,116 epoch 59 - iter 28/280 - loss 0.04074142 - time (sec): 1.80 - samples/sec: 11732.67 - lr: 0.100000
2023-04-05 12:32:53,930 epoch 59 - iter 56/280 - loss 0.04291456 - time (sec): 3.61 - samples/sec: 11604.48 - lr: 0.100000
2023-04-05 12:32:55,840 epoch 59 - iter 84/280 - loss 0.04262151 - time (sec): 5.52 - samples/sec: 11464.78 - lr: 0.100000
2023-04-05 12:32:57,639 epoch 59 - iter 112/280 - loss 0.04328286 - time (sec): 7.32 - samples/sec: 11521.47 - lr: 0.100000
2023-04-05 12:32:59,427 epoch 59 - iter 140/280 - loss 0.04316587 - time (sec): 9.11 - samples/sec: 11583.47 - lr: 0.100000
2023-04-05 12:33:01,210 epoch 59 - iter 168/280 - loss 0.04290529 - time (sec): 10.89 - samples/sec: 11647.87 - lr: 0.100000
2023-04-05 12:33:03,010 epoch 59 - iter 196/280 - loss 0.04310875 - time (sec): 12.69 - samples/sec: 11710.50 - lr: 0.100000
2023-04-05 12:33:04,772 epoch 59 - iter 224/280 - loss 0.04397614 - time (sec): 14.45 - samples/sec: 11755.01 - lr: 0.100000
2023-04-05 12:33:06,544 epoch 59 - iter 252/280 - loss 0.04455300 - time (sec): 16.23 - samples/sec: 11783.46 - lr: 0.100000
2023-04-05 12:33:08,217 epoch 59 - iter 280/280 - loss 0.04464494 - time (sec): 17.90 - samples/sec: 11826.84 - lr: 0.100000
2023-04-05 12:33:08,217 ----------------------------------------------------------------------------------------------------
2023-04-05 12:33:08,217 EPOCH 59 done: loss 0.0446 - lr 0.100000
2023-04-05 12:33:08,217 BAD EPOCHS (no improvement): 1
2023-04-05 12:33:08,220 ----------------------------------------------------------------------------------------------------
2023-04-05 12:33:09,943 epoch 60 - iter 28/280 - loss 0.04344240 - time (sec): 1.72 - samples/sec: 12294.48 - lr: 0.100000
2023-04-05 12:33:11,735 epoch 60 - iter 56/280 - loss 0.04344938 - time (sec): 3.51 - samples/sec: 12044.04 - lr: 0.100000
2023-04-05 12:33:13,488 epoch 60 - iter 84/280 - loss 0.04367262 - time (sec): 5.27 - samples/sec: 12007.36 - lr: 0.100000
2023-04-05 12:33:15,274 epoch 60 - iter 112/280 - loss 0.04282292 - time (sec): 7.05 - samples/sec: 12029.48 - lr: 0.100000
2023-04-05 12:33:17,042 epoch 60 - iter 140/280 - loss 0.04295454 - time (sec): 8.82 - samples/sec: 12014.52 - lr: 0.100000
2023-04-05 12:33:18,822 epoch 60 - iter 168/280 - loss 0.04326080 - time (sec): 10.60 - samples/sec: 12024.64 - lr: 0.100000
2023-04-05 12:33:20,571 epoch 60 - iter 196/280 - loss 0.04306652 - time (sec): 12.35 - samples/sec: 11995.35 - lr: 0.100000
2023-04-05 12:33:22,319 epoch 60 - iter 224/280 - loss 0.04313819 - time (sec): 14.10 - samples/sec: 12014.33 - lr: 0.100000
2023-04-05 12:33:24,099 epoch 60 - iter 252/280 - loss 0.04336182 - time (sec): 15.88 - samples/sec: 12005.47 - lr: 0.100000
2023-04-05 12:33:25,830 epoch 60 - iter 280/280 - loss 0.04327383 - time (sec): 17.61 - samples/sec: 12020.91 - lr: 0.100000
2023-04-05 12:33:25,830 ----------------------------------------------------------------------------------------------------
2023-04-05 12:33:25,831 EPOCH 60 done: loss 0.0433 - lr 0.100000
2023-04-05 12:33:25,831 BAD EPOCHS (no improvement): 0
2023-04-05 12:33:25,833 ----------------------------------------------------------------------------------------------------
2023-04-05 12:33:27,572 epoch 61 - iter 28/280 - loss 0.04135757 - time (sec): 1.74 - samples/sec: 12259.80 - lr: 0.100000
2023-04-05 12:33:29,368 epoch 61 - iter 56/280 - loss 0.04366408 - time (sec): 3.53 - samples/sec: 12221.82 - lr: 0.100000
2023-04-05 12:33:31,116 epoch 61 - iter 84/280 - loss 0.04293792 - time (sec): 5.28 - samples/sec: 12212.09 - lr: 0.100000
2023-04-05 12:33:32,876 epoch 61 - iter 112/280 - loss 0.04423683 - time (sec): 7.04 - samples/sec: 12139.04 - lr: 0.100000
2023-04-05 12:33:34,646 epoch 61 - iter 140/280 - loss 0.04437115 - time (sec): 8.81 - samples/sec: 12097.59 - lr: 0.100000
2023-04-05 12:33:36,447 epoch 61 - iter 168/280 - loss 0.04390689 - time (sec): 10.61 - samples/sec: 12049.86 - lr: 0.100000
2023-04-05 12:33:38,213 epoch 61 - iter 196/280 - loss 0.04404343 - time (sec): 12.38 - samples/sec: 12029.47 - lr: 0.100000
2023-04-05 12:33:39,962 epoch 61 - iter 224/280 - loss 0.04413593 - time (sec): 14.13 - samples/sec: 12030.57 - lr: 0.100000
2023-04-05 12:33:41,717 epoch 61 - iter 252/280 - loss 0.04366438 - time (sec): 15.88 - samples/sec: 12026.89 - lr: 0.100000
2023-04-05 12:33:43,407 epoch 61 - iter 280/280 - loss 0.04326034 - time (sec): 17.57 - samples/sec: 12045.70 - lr: 0.100000
2023-04-05 12:33:43,407 ----------------------------------------------------------------------------------------------------
2023-04-05 12:33:43,407 EPOCH 61 done: loss 0.0433 - lr 0.100000
2023-04-05 12:33:43,407 BAD EPOCHS (no improvement): 0
2023-04-05 12:33:43,410 ----------------------------------------------------------------------------------------------------
2023-04-05 12:33:45,151 epoch 62 - iter 28/280 - loss 0.04295385 - time (sec): 1.74 - samples/sec: 12387.55 - lr: 0.100000
2023-04-05 12:33:46,851 epoch 62 - iter 56/280 - loss 0.04267463 - time (sec): 3.44 - samples/sec: 12449.70 - lr: 0.100000
2023-04-05 12:33:48,529 epoch 62 - iter 84/280 - loss 0.04180727 - time (sec): 5.12 - samples/sec: 12362.11 - lr: 0.100000
2023-04-05 12:33:50,284 epoch 62 - iter 112/280 - loss 0.04186787 - time (sec): 6.87 - samples/sec: 12324.60 - lr: 0.100000
2023-04-05 12:33:52,028 epoch 62 - iter 140/280 - loss 0.04159881 - time (sec): 8.62 - samples/sec: 12303.80 - lr: 0.100000
2023-04-05 12:33:53,773 epoch 62 - iter 168/280 - loss 0.04231600 - time (sec): 10.36 - samples/sec: 12287.04 - lr: 0.100000
2023-04-05 12:33:55,644 epoch 62 - iter 196/280 - loss 0.04223534 - time (sec): 12.23 - samples/sec: 12174.37 - lr: 0.100000
2023-04-05 12:33:57,394 epoch 62 - iter 224/280 - loss 0.04303087 - time (sec): 13.98 - samples/sec: 12144.29 - lr: 0.100000
2023-04-05 12:33:59,159 epoch 62 - iter 252/280 - loss 0.04342059 - time (sec): 15.75 - samples/sec: 12129.37 - lr: 0.100000
2023-04-05 12:34:00,880 epoch 62 - iter 280/280 - loss 0.04318397 - time (sec): 17.47 - samples/sec: 12117.36 - lr: 0.100000
2023-04-05 12:34:00,881 ----------------------------------------------------------------------------------------------------
2023-04-05 12:34:00,881 EPOCH 62 done: loss 0.0432 - lr 0.100000
2023-04-05 12:34:00,881 BAD EPOCHS (no improvement): 0
2023-04-05 12:34:00,883 ----------------------------------------------------------------------------------------------------
2023-04-05 12:34:02,655 epoch 63 - iter 28/280 - loss 0.04106269 - time (sec): 1.77 - samples/sec: 12104.91 - lr: 0.100000
2023-04-05 12:34:04,431 epoch 63 - iter 56/280 - loss 0.04044152 - time (sec): 3.55 - samples/sec: 12057.91 - lr: 0.100000
2023-04-05 12:34:06,222 epoch 63 - iter 84/280 - loss 0.04018791 - time (sec): 5.34 - samples/sec: 12006.92 - lr: 0.100000
2023-04-05 12:34:07,919 epoch 63 - iter 112/280 - loss 0.04033109 - time (sec): 7.04 - samples/sec: 12075.02 - lr: 0.100000
2023-04-05 12:34:09,641 epoch 63 - iter 140/280 - loss 0.04016304 - time (sec): 8.76 - samples/sec: 12080.62 - lr: 0.100000
2023-04-05 12:34:11,382 epoch 63 - iter 168/280 - loss 0.04086354 - time (sec): 10.50 - samples/sec: 12123.20 - lr: 0.100000
2023-04-05 12:34:13,058 epoch 63 - iter 196/280 - loss 0.04176527 - time (sec): 12.17 - samples/sec: 12175.32 - lr: 0.100000
2023-04-05 12:34:14,795 epoch 63 - iter 224/280 - loss 0.04155045 - time (sec): 13.91 - samples/sec: 12179.78 - lr: 0.100000
2023-04-05 12:34:16,541 epoch 63 - iter 252/280 - loss 0.04189929 - time (sec): 15.66 - samples/sec: 12189.94 - lr: 0.100000
2023-04-05 12:34:18,269 epoch 63 - iter 280/280 - loss 0.04192543 - time (sec): 17.39 - samples/sec: 12175.85 - lr: 0.100000
2023-04-05 12:34:18,270 ----------------------------------------------------------------------------------------------------
2023-04-05 12:34:18,270 EPOCH 63 done: loss 0.0419 - lr 0.100000
2023-04-05 12:34:18,270 BAD EPOCHS (no improvement): 0
2023-04-05 12:34:18,272 ----------------------------------------------------------------------------------------------------
2023-04-05 12:34:19,932 epoch 64 - iter 28/280 - loss 0.04203112 - time (sec): 1.66 - samples/sec: 12755.37 - lr: 0.100000
2023-04-05 12:34:21,696 epoch 64 - iter 56/280 - loss 0.04055352 - time (sec): 3.42 - samples/sec: 12496.42 - lr: 0.100000
2023-04-05 12:34:23,451 epoch 64 - iter 84/280 - loss 0.04020147 - time (sec): 5.18 - samples/sec: 12275.24 - lr: 0.100000
2023-04-05 12:34:25,217 epoch 64 - iter 112/280 - loss 0.04180056 - time (sec): 6.94 - samples/sec: 12266.43 - lr: 0.100000
2023-04-05 12:34:27,007 epoch 64 - iter 140/280 - loss 0.04166746 - time (sec): 8.73 - samples/sec: 12192.45 - lr: 0.100000
2023-04-05 12:34:28,791 epoch 64 - iter 168/280 - loss 0.04148083 - time (sec): 10.52 - samples/sec: 12145.08 - lr: 0.100000
2023-04-05 12:34:30,639 epoch 64 - iter 196/280 - loss 0.04136540 - time (sec): 12.37 - samples/sec: 12084.35 - lr: 0.100000
2023-04-05 12:34:32,353 epoch 64 - iter 224/280 - loss 0.04201180 - time (sec): 14.08 - samples/sec: 12081.94 - lr: 0.100000
2023-04-05 12:34:34,118 epoch 64 - iter 252/280 - loss 0.04168001 - time (sec): 15.85 - samples/sec: 12061.57 - lr: 0.100000
2023-04-05 12:34:35,820 epoch 64 - iter 280/280 - loss 0.04138165 - time (sec): 17.55 - samples/sec: 12063.78 - lr: 0.100000
2023-04-05 12:34:35,820 ----------------------------------------------------------------------------------------------------
2023-04-05 12:34:35,821 EPOCH 64 done: loss 0.0414 - lr 0.100000
2023-04-05 12:34:35,821 BAD EPOCHS (no improvement): 0
2023-04-05 12:34:35,823 ----------------------------------------------------------------------------------------------------
2023-04-05 12:34:37,588 epoch 65 - iter 28/280 - loss 0.04230542 - time (sec): 1.76 - samples/sec: 12235.33 - lr: 0.100000
2023-04-05 12:34:39,308 epoch 65 - iter 56/280 - loss 0.04196299 - time (sec): 3.49 - samples/sec: 12189.89 - lr: 0.100000
2023-04-05 12:34:41,038 epoch 65 - iter 84/280 - loss 0.04238945 - time (sec): 5.21 - samples/sec: 12169.05 - lr: 0.100000
2023-04-05 12:34:42,788 epoch 65 - iter 112/280 - loss 0.04222310 - time (sec): 6.96 - samples/sec: 12146.36 - lr: 0.100000
2023-04-05 12:34:44,530 epoch 65 - iter 140/280 - loss 0.04169530 - time (sec): 8.71 - samples/sec: 12180.94 - lr: 0.100000
2023-04-05 12:34:46,317 epoch 65 - iter 168/280 - loss 0.04237213 - time (sec): 10.49 - samples/sec: 12191.00 - lr: 0.100000
2023-04-05 12:34:48,034 epoch 65 - iter 196/280 - loss 0.04241051 - time (sec): 12.21 - samples/sec: 12154.91 - lr: 0.100000
2023-04-05 12:34:49,751 epoch 65 - iter 224/280 - loss 0.04288853 - time (sec): 13.93 - samples/sec: 12169.39 - lr: 0.100000
2023-04-05 12:34:51,533 epoch 65 - iter 252/280 - loss 0.04261393 - time (sec): 15.71 - samples/sec: 12144.13 - lr: 0.100000
2023-04-05 12:34:53,313 epoch 65 - iter 280/280 - loss 0.04265806 - time (sec): 17.49 - samples/sec: 12103.97 - lr: 0.100000
2023-04-05 12:34:53,313 ----------------------------------------------------------------------------------------------------
2023-04-05 12:34:53,313 EPOCH 65 done: loss 0.0427 - lr 0.100000
2023-04-05 12:34:53,313 BAD EPOCHS (no improvement): 1
2023-04-05 12:34:53,316 ----------------------------------------------------------------------------------------------------
2023-04-05 12:34:55,060 epoch 66 - iter 28/280 - loss 0.03572448 - time (sec): 1.74 - samples/sec: 12296.66 - lr: 0.100000
2023-04-05 12:34:56,839 epoch 66 - iter 56/280 - loss 0.04176424 - time (sec): 3.52 - samples/sec: 12237.57 - lr: 0.100000
2023-04-05 12:34:58,581 epoch 66 - iter 84/280 - loss 0.04255956 - time (sec): 5.27 - samples/sec: 12187.70 - lr: 0.100000
2023-04-05 12:35:00,351 epoch 66 - iter 112/280 - loss 0.04306737 - time (sec): 7.04 - samples/sec: 12133.07 - lr: 0.100000
2023-04-05 12:35:02,033 epoch 66 - iter 140/280 - loss 0.04259381 - time (sec): 8.72 - samples/sec: 12154.27 - lr: 0.100000
2023-04-05 12:35:03,768 epoch 66 - iter 168/280 - loss 0.04239611 - time (sec): 10.45 - samples/sec: 12157.41 - lr: 0.100000
2023-04-05 12:35:05,549 epoch 66 - iter 196/280 - loss 0.04196514 - time (sec): 12.23 - samples/sec: 12129.22 - lr: 0.100000
2023-04-05 12:35:07,282 epoch 66 - iter 224/280 - loss 0.04189833 - time (sec): 13.97 - samples/sec: 12163.65 - lr: 0.100000
2023-04-05 12:35:09,015 epoch 66 - iter 252/280 - loss 0.04137184 - time (sec): 15.70 - samples/sec: 12167.59 - lr: 0.100000
2023-04-05 12:35:10,694 epoch 66 - iter 280/280 - loss 0.04107907 - time (sec): 17.38 - samples/sec: 12181.28 - lr: 0.100000
2023-04-05 12:35:10,694 ----------------------------------------------------------------------------------------------------
2023-04-05 12:35:10,695 EPOCH 66 done: loss 0.0411 - lr 0.100000
2023-04-05 12:35:10,695 BAD EPOCHS (no improvement): 0
2023-04-05 12:35:10,697 ----------------------------------------------------------------------------------------------------
2023-04-05 12:35:12,502 epoch 67 - iter 28/280 - loss 0.03943085 - time (sec): 1.80 - samples/sec: 11946.29 - lr: 0.100000
2023-04-05 12:35:14,223 epoch 67 - iter 56/280 - loss 0.04099951 - time (sec): 3.53 - samples/sec: 12167.20 - lr: 0.100000
2023-04-05 12:35:15,880 epoch 67 - iter 84/280 - loss 0.03984854 - time (sec): 5.18 - samples/sec: 12228.62 - lr: 0.100000
2023-04-05 12:35:17,671 epoch 67 - iter 112/280 - loss 0.04068475 - time (sec): 6.97 - samples/sec: 12158.33 - lr: 0.100000
2023-04-05 12:35:19,430 epoch 67 - iter 140/280 - loss 0.04023694 - time (sec): 8.73 - samples/sec: 12159.50 - lr: 0.100000
2023-04-05 12:35:21,162 epoch 67 - iter 168/280 - loss 0.04025197 - time (sec): 10.47 - samples/sec: 12175.03 - lr: 0.100000
2023-04-05 12:35:22,958 epoch 67 - iter 196/280 - loss 0.04051638 - time (sec): 12.26 - samples/sec: 12140.07 - lr: 0.100000
2023-04-05 12:35:24,702 epoch 67 - iter 224/280 - loss 0.04046167 - time (sec): 14.01 - samples/sec: 12137.21 - lr: 0.100000
2023-04-05 12:35:26,441 epoch 67 - iter 252/280 - loss 0.04012390 - time (sec): 15.74 - samples/sec: 12136.33 - lr: 0.100000
2023-04-05 12:35:28,172 epoch 67 - iter 280/280 - loss 0.04086316 - time (sec): 17.48 - samples/sec: 12113.64 - lr: 0.100000
2023-04-05 12:35:28,173 ----------------------------------------------------------------------------------------------------
2023-04-05 12:35:28,173 EPOCH 67 done: loss 0.0409 - lr 0.100000
2023-04-05 12:35:28,173 BAD EPOCHS (no improvement): 0
2023-04-05 12:35:28,176 ----------------------------------------------------------------------------------------------------
2023-04-05 12:35:29,975 epoch 68 - iter 28/280 - loss 0.03847541 - time (sec): 1.80 - samples/sec: 11748.77 - lr: 0.100000
2023-04-05 12:35:31,773 epoch 68 - iter 56/280 - loss 0.03926478 - time (sec): 3.60 - samples/sec: 11909.26 - lr: 0.100000
2023-04-05 12:35:33,549 epoch 68 - iter 84/280 - loss 0.03917093 - time (sec): 5.37 - samples/sec: 12001.91 - lr: 0.100000
2023-04-05 12:35:35,305 epoch 68 - iter 112/280 - loss 0.03907090 - time (sec): 7.13 - samples/sec: 12014.13 - lr: 0.100000
2023-04-05 12:35:36,983 epoch 68 - iter 140/280 - loss 0.03892914 - time (sec): 8.81 - samples/sec: 12087.92 - lr: 0.100000
2023-04-05 12:35:38,708 epoch 68 - iter 168/280 - loss 0.03942564 - time (sec): 10.53 - samples/sec: 12139.35 - lr: 0.100000
2023-04-05 12:35:40,405 epoch 68 - iter 196/280 - loss 0.03944183 - time (sec): 12.23 - samples/sec: 12181.78 - lr: 0.100000
2023-04-05 12:35:42,127 epoch 68 - iter 224/280 - loss 0.04018487 - time (sec): 13.95 - samples/sec: 12213.24 - lr: 0.100000
2023-04-05 12:35:43,835 epoch 68 - iter 252/280 - loss 0.04021863 - time (sec): 15.66 - samples/sec: 12204.86 - lr: 0.100000
2023-04-05 12:35:45,551 epoch 68 - iter 280/280 - loss 0.04052165 - time (sec): 17.37 - samples/sec: 12183.68 - lr: 0.100000
2023-04-05 12:35:45,551 ----------------------------------------------------------------------------------------------------
2023-04-05 12:35:45,551 EPOCH 68 done: loss 0.0405 - lr 0.100000
2023-04-05 12:35:45,551 BAD EPOCHS (no improvement): 0
2023-04-05 12:35:45,554 ----------------------------------------------------------------------------------------------------
2023-04-05 12:35:47,255 epoch 69 - iter 28/280 - loss 0.04198701 - time (sec): 1.70 - samples/sec: 12424.89 - lr: 0.100000
2023-04-05 12:35:48,998 epoch 69 - iter 56/280 - loss 0.04062392 - time (sec): 3.44 - samples/sec: 12314.58 - lr: 0.100000
2023-04-05 12:35:50,714 epoch 69 - iter 84/280 - loss 0.04011505 - time (sec): 5.16 - samples/sec: 12270.72 - lr: 0.100000
2023-04-05 12:35:52,435 epoch 69 - iter 112/280 - loss 0.04009542 - time (sec): 6.88 - samples/sec: 12261.86 - lr: 0.100000
2023-04-05 12:35:54,180 epoch 69 - iter 140/280 - loss 0.03970965 - time (sec): 8.63 - samples/sec: 12256.31 - lr: 0.100000
2023-04-05 12:35:55,965 epoch 69 - iter 168/280 - loss 0.03947188 - time (sec): 10.41 - samples/sec: 12204.97 - lr: 0.100000
2023-04-05 12:35:57,769 epoch 69 - iter 196/280 - loss 0.03973279 - time (sec): 12.22 - samples/sec: 12165.17 - lr: 0.100000
2023-04-05 12:35:59,487 epoch 69 - iter 224/280 - loss 0.03971687 - time (sec): 13.93 - samples/sec: 12168.14 - lr: 0.100000
2023-04-05 12:36:01,251 epoch 69 - iter 252/280 - loss 0.03998314 - time (sec): 15.70 - samples/sec: 12179.30 - lr: 0.100000
2023-04-05 12:36:02,982 epoch 69 - iter 280/280 - loss 0.03997772 - time (sec): 17.43 - samples/sec: 12146.51 - lr: 0.100000
2023-04-05 12:36:02,982 ----------------------------------------------------------------------------------------------------
2023-04-05 12:36:02,982 EPOCH 69 done: loss 0.0400 - lr 0.100000
2023-04-05 12:36:02,982 BAD EPOCHS (no improvement): 0
2023-04-05 12:36:02,985 ----------------------------------------------------------------------------------------------------
2023-04-05 12:36:04,759 epoch 70 - iter 28/280 - loss 0.03769898 - time (sec): 1.77 - samples/sec: 12081.73 - lr: 0.100000
2023-04-05 12:36:06,541 epoch 70 - iter 56/280 - loss 0.04109644 - time (sec): 3.56 - samples/sec: 12155.12 - lr: 0.100000
2023-04-05 12:36:08,245 epoch 70 - iter 84/280 - loss 0.03985551 - time (sec): 5.26 - samples/sec: 12225.62 - lr: 0.100000
2023-04-05 12:36:09,983 epoch 70 - iter 112/280 - loss 0.03982534 - time (sec): 7.00 - samples/sec: 12225.85 - lr: 0.100000
2023-04-05 12:36:11,677 epoch 70 - iter 140/280 - loss 0.03934254 - time (sec): 8.69 - samples/sec: 12254.04 - lr: 0.100000
2023-04-05 12:36:13,441 epoch 70 - iter 168/280 - loss 0.03871946 - time (sec): 10.46 - samples/sec: 12196.60 - lr: 0.100000
2023-04-05 12:36:15,157 epoch 70 - iter 196/280 - loss 0.03866823 - time (sec): 12.17 - samples/sec: 12206.79 - lr: 0.100000
2023-04-05 12:36:16,970 epoch 70 - iter 224/280 - loss 0.03887471 - time (sec): 13.98 - samples/sec: 12158.12 - lr: 0.100000
2023-04-05 12:36:18,737 epoch 70 - iter 252/280 - loss 0.03897216 - time (sec): 15.75 - samples/sec: 12145.19 - lr: 0.100000
2023-04-05 12:36:20,455 epoch 70 - iter 280/280 - loss 0.03913149 - time (sec): 17.47 - samples/sec: 12117.39 - lr: 0.100000
2023-04-05 12:36:20,455 ----------------------------------------------------------------------------------------------------
2023-04-05 12:36:20,455 EPOCH 70 done: loss 0.0391 - lr 0.100000
2023-04-05 12:36:20,455 BAD EPOCHS (no improvement): 0
2023-04-05 12:36:20,458 ----------------------------------------------------------------------------------------------------
2023-04-05 12:36:22,220 epoch 71 - iter 28/280 - loss 0.03635570 - time (sec): 1.76 - samples/sec: 11851.77 - lr: 0.100000
2023-04-05 12:36:23,965 epoch 71 - iter 56/280 - loss 0.03807923 - time (sec): 3.51 - samples/sec: 11960.21 - lr: 0.100000
2023-04-05 12:36:25,684 epoch 71 - iter 84/280 - loss 0.03936431 - time (sec): 5.23 - samples/sec: 12013.40 - lr: 0.100000
2023-04-05 12:36:27,451 epoch 71 - iter 112/280 - loss 0.03941457 - time (sec): 6.99 - samples/sec: 12035.27 - lr: 0.100000
2023-04-05 12:36:29,223 epoch 71 - iter 140/280 - loss 0.03962293 - time (sec): 8.77 - samples/sec: 12048.67 - lr: 0.100000
2023-04-05 12:36:31,042 epoch 71 - iter 168/280 - loss 0.04021619 - time (sec): 10.58 - samples/sec: 12030.84 - lr: 0.100000
2023-04-05 12:36:32,843 epoch 71 - iter 196/280 - loss 0.04031353 - time (sec): 12.38 - samples/sec: 11994.96 - lr: 0.100000
2023-04-05 12:36:34,631 epoch 71 - iter 224/280 - loss 0.03983738 - time (sec): 14.17 - samples/sec: 11977.55 - lr: 0.100000
2023-04-05 12:36:36,429 epoch 71 - iter 252/280 - loss 0.03960636 - time (sec): 15.97 - samples/sec: 11959.43 - lr: 0.100000
2023-04-05 12:36:38,177 epoch 71 - iter 280/280 - loss 0.03972836 - time (sec): 17.72 - samples/sec: 11947.18 - lr: 0.100000
2023-04-05 12:36:38,177 ----------------------------------------------------------------------------------------------------
2023-04-05 12:36:38,177 EPOCH 71 done: loss 0.0397 - lr 0.100000
2023-04-05 12:36:38,177 BAD EPOCHS (no improvement): 1
2023-04-05 12:36:38,180 ----------------------------------------------------------------------------------------------------
2023-04-05 12:36:39,928 epoch 72 - iter 28/280 - loss 0.03781835 - time (sec): 1.75 - samples/sec: 12177.82 - lr: 0.100000
2023-04-05 12:36:41,703 epoch 72 - iter 56/280 - loss 0.03876505 - time (sec): 3.52 - samples/sec: 12074.53 - lr: 0.100000
2023-04-05 12:36:43,449 epoch 72 - iter 84/280 - loss 0.03848380 - time (sec): 5.27 - samples/sec: 12135.23 - lr: 0.100000
2023-04-05 12:36:45,204 epoch 72 - iter 112/280 - loss 0.03899188 - time (sec): 7.02 - samples/sec: 12095.55 - lr: 0.100000
2023-04-05 12:36:46,935 epoch 72 - iter 140/280 - loss 0.03869974 - time (sec): 8.76 - samples/sec: 12086.19 - lr: 0.100000
2023-04-05 12:36:48,707 epoch 72 - iter 168/280 - loss 0.03916428 - time (sec): 10.53 - samples/sec: 12074.06 - lr: 0.100000
2023-04-05 12:36:50,479 epoch 72 - iter 196/280 - loss 0.03926499 - time (sec): 12.30 - samples/sec: 12078.94 - lr: 0.100000
2023-04-05 12:36:52,219 epoch 72 - iter 224/280 - loss 0.03933488 - time (sec): 14.04 - samples/sec: 12089.12 - lr: 0.100000
2023-04-05 12:36:54,000 epoch 72 - iter 252/280 - loss 0.03943585 - time (sec): 15.82 - samples/sec: 12094.98 - lr: 0.100000
2023-04-05 12:36:55,691 epoch 72 - iter 280/280 - loss 0.03959172 - time (sec): 17.51 - samples/sec: 12088.51 - lr: 0.100000
2023-04-05 12:36:55,692 ----------------------------------------------------------------------------------------------------
2023-04-05 12:36:55,692 EPOCH 72 done: loss 0.0396 - lr 0.100000
2023-04-05 12:36:55,692 BAD EPOCHS (no improvement): 2
2023-04-05 12:36:55,695 ----------------------------------------------------------------------------------------------------
2023-04-05 12:36:57,433 epoch 73 - iter 28/280 - loss 0.03961074 - time (sec): 1.74 - samples/sec: 12215.99 - lr: 0.100000
2023-04-05 12:36:59,131 epoch 73 - iter 56/280 - loss 0.03937763 - time (sec): 3.44 - samples/sec: 12299.60 - lr: 0.100000
2023-04-05 12:37:00,926 epoch 73 - iter 84/280 - loss 0.03875078 - time (sec): 5.23 - samples/sec: 12173.77 - lr: 0.100000
2023-04-05 12:37:02,680 epoch 73 - iter 112/280 - loss 0.03828832 - time (sec): 6.99 - samples/sec: 12167.83 - lr: 0.100000
2023-04-05 12:37:04,489 epoch 73 - iter 140/280 - loss 0.03829776 - time (sec): 8.79 - samples/sec: 12087.82 - lr: 0.100000
2023-04-05 12:37:06,237 epoch 73 - iter 168/280 - loss 0.03863956 - time (sec): 10.54 - samples/sec: 12083.35 - lr: 0.100000
2023-04-05 12:37:07,994 epoch 73 - iter 196/280 - loss 0.03857963 - time (sec): 12.30 - samples/sec: 12049.81 - lr: 0.100000
2023-04-05 12:37:09,746 epoch 73 - iter 224/280 - loss 0.03859124 - time (sec): 14.05 - samples/sec: 12045.93 - lr: 0.100000
2023-04-05 12:37:11,547 epoch 73 - iter 252/280 - loss 0.03877450 - time (sec): 15.85 - samples/sec: 12042.68 - lr: 0.100000
2023-04-05 12:37:13,297 epoch 73 - iter 280/280 - loss 0.03877538 - time (sec): 17.60 - samples/sec: 12026.65 - lr: 0.100000
2023-04-05 12:37:13,297 ----------------------------------------------------------------------------------------------------
2023-04-05 12:37:13,297 EPOCH 73 done: loss 0.0388 - lr 0.100000
2023-04-05 12:37:13,297 BAD EPOCHS (no improvement): 0
2023-04-05 12:37:13,300 ----------------------------------------------------------------------------------------------------
2023-04-05 12:37:15,099 epoch 74 - iter 28/280 - loss 0.04100038 - time (sec): 1.80 - samples/sec: 11852.73 - lr: 0.100000
2023-04-05 12:37:16,889 epoch 74 - iter 56/280 - loss 0.03902047 - time (sec): 3.59 - samples/sec: 11858.74 - lr: 0.100000
2023-04-05 12:37:18,615 epoch 74 - iter 84/280 - loss 0.03942582 - time (sec): 5.32 - samples/sec: 11930.17 - lr: 0.100000
2023-04-05 12:37:20,383 epoch 74 - iter 112/280 - loss 0.03885162 - time (sec): 7.08 - samples/sec: 11946.62 - lr: 0.100000
2023-04-05 12:37:22,123 epoch 74 - iter 140/280 - loss 0.03879617 - time (sec): 8.82 - samples/sec: 12013.28 - lr: 0.100000
2023-04-05 12:37:23,883 epoch 74 - iter 168/280 - loss 0.03896451 - time (sec): 10.58 - samples/sec: 12011.92 - lr: 0.100000
2023-04-05 12:37:25,628 epoch 74 - iter 196/280 - loss 0.03948927 - time (sec): 12.33 - samples/sec: 12044.23 - lr: 0.100000
2023-04-05 12:37:27,375 epoch 74 - iter 224/280 - loss 0.03927040 - time (sec): 14.08 - samples/sec: 12058.64 - lr: 0.100000
2023-04-05 12:37:29,117 epoch 74 - iter 252/280 - loss 0.03923118 - time (sec): 15.82 - samples/sec: 12061.80 - lr: 0.100000
2023-04-05 12:37:30,854 epoch 74 - iter 280/280 - loss 0.03896728 - time (sec): 17.55 - samples/sec: 12059.49 - lr: 0.100000
2023-04-05 12:37:30,854 ----------------------------------------------------------------------------------------------------
2023-04-05 12:37:30,854 EPOCH 74 done: loss 0.0390 - lr 0.100000
2023-04-05 12:37:30,854 BAD EPOCHS (no improvement): 1
2023-04-05 12:37:30,857 ----------------------------------------------------------------------------------------------------
2023-04-05 12:37:32,617 epoch 75 - iter 28/280 - loss 0.03636860 - time (sec): 1.76 - samples/sec: 12159.29 - lr: 0.100000
2023-04-05 12:37:34,315 epoch 75 - iter 56/280 - loss 0.03622665 - time (sec): 3.46 - samples/sec: 12242.31 - lr: 0.100000
2023-04-05 12:37:36,058 epoch 75 - iter 84/280 - loss 0.03753173 - time (sec): 5.20 - samples/sec: 12231.75 - lr: 0.100000
2023-04-05 12:37:37,811 epoch 75 - iter 112/280 - loss 0.03856109 - time (sec): 6.95 - samples/sec: 12228.38 - lr: 0.100000
2023-04-05 12:37:39,485 epoch 75 - iter 140/280 - loss 0.03847734 - time (sec): 8.63 - samples/sec: 12292.61 - lr: 0.100000
2023-04-05 12:37:42,633 epoch 75 - iter 168/280 - loss 0.03838132 - time (sec): 11.78 - samples/sec: 10798.74 - lr: 0.100000
2023-04-05 12:37:44,375 epoch 75 - iter 196/280 - loss 0.03838842 - time (sec): 13.52 - samples/sec: 10949.34 - lr: 0.100000
2023-04-05 12:37:46,179 epoch 75 - iter 224/280 - loss 0.03893471 - time (sec): 15.32 - samples/sec: 11075.75 - lr: 0.100000
2023-04-05 12:37:47,978 epoch 75 - iter 252/280 - loss 0.03857032 - time (sec): 17.12 - samples/sec: 11169.09 - lr: 0.100000
2023-04-05 12:37:49,699 epoch 75 - iter 280/280 - loss 0.03845460 - time (sec): 18.84 - samples/sec: 11235.16 - lr: 0.100000
2023-04-05 12:37:49,699 ----------------------------------------------------------------------------------------------------
2023-04-05 12:37:49,699 EPOCH 75 done: loss 0.0385 - lr 0.100000
2023-04-05 12:37:49,699 BAD EPOCHS (no improvement): 0
2023-04-05 12:37:49,702 ----------------------------------------------------------------------------------------------------
2023-04-05 12:37:51,504 epoch 76 - iter 28/280 - loss 0.03627563 - time (sec): 1.80 - samples/sec: 11994.40 - lr: 0.100000
2023-04-05 12:37:53,294 epoch 76 - iter 56/280 - loss 0.03728684 - time (sec): 3.59 - samples/sec: 12064.41 - lr: 0.100000
2023-04-05 12:37:55,025 epoch 76 - iter 84/280 - loss 0.03755757 - time (sec): 5.32 - samples/sec: 12123.74 - lr: 0.100000
2023-04-05 12:37:56,732 epoch 76 - iter 112/280 - loss 0.03786187 - time (sec): 7.03 - samples/sec: 12137.64 - lr: 0.100000
2023-04-05 12:37:58,493 epoch 76 - iter 140/280 - loss 0.03769031 - time (sec): 8.79 - samples/sec: 12159.39 - lr: 0.100000
2023-04-05 12:38:00,192 epoch 76 - iter 168/280 - loss 0.03795245 - time (sec): 10.49 - samples/sec: 12172.52 - lr: 0.100000
2023-04-05 12:38:01,932 epoch 76 - iter 196/280 - loss 0.03839792 - time (sec): 12.23 - samples/sec: 12181.50 - lr: 0.100000
2023-04-05 12:38:03,629 epoch 76 - iter 224/280 - loss 0.03896866 - time (sec): 13.93 - samples/sec: 12229.12 - lr: 0.100000
2023-04-05 12:38:05,399 epoch 76 - iter 252/280 - loss 0.03868635 - time (sec): 15.70 - samples/sec: 12203.65 - lr: 0.100000
2023-04-05 12:38:07,045 epoch 76 - iter 280/280 - loss 0.03880076 - time (sec): 17.34 - samples/sec: 12206.04 - lr: 0.100000
2023-04-05 12:38:07,045 ----------------------------------------------------------------------------------------------------
2023-04-05 12:38:07,045 EPOCH 76 done: loss 0.0388 - lr 0.100000
2023-04-05 12:38:07,045 BAD EPOCHS (no improvement): 1
2023-04-05 12:38:07,048 ----------------------------------------------------------------------------------------------------
2023-04-05 12:38:08,754 epoch 77 - iter 28/280 - loss 0.03438133 - time (sec): 1.71 - samples/sec: 12146.69 - lr: 0.100000
2023-04-05 12:38:10,469 epoch 77 - iter 56/280 - loss 0.03638417 - time (sec): 3.42 - samples/sec: 12201.75 - lr: 0.100000
2023-04-05 12:38:12,236 epoch 77 - iter 84/280 - loss 0.03776686 - time (sec): 5.19 - samples/sec: 12075.22 - lr: 0.100000
2023-04-05 12:38:13,912 epoch 77 - iter 112/280 - loss 0.03775078 - time (sec): 6.86 - samples/sec: 12144.66 - lr: 0.100000
2023-04-05 12:38:15,661 epoch 77 - iter 140/280 - loss 0.03801230 - time (sec): 8.61 - samples/sec: 12108.17 - lr: 0.100000
2023-04-05 12:38:17,464 epoch 77 - iter 168/280 - loss 0.03811036 - time (sec): 10.42 - samples/sec: 12110.88 - lr: 0.100000
2023-04-05 12:38:19,220 epoch 77 - iter 196/280 - loss 0.03801335 - time (sec): 12.17 - samples/sec: 12087.41 - lr: 0.100000
2023-04-05 12:38:20,977 epoch 77 - iter 224/280 - loss 0.03835780 - time (sec): 13.93 - samples/sec: 12125.90 - lr: 0.100000
2023-04-05 12:38:22,803 epoch 77 - iter 252/280 - loss 0.03782331 - time (sec): 15.75 - samples/sec: 12108.90 - lr: 0.100000
2023-04-05 12:38:24,508 epoch 77 - iter 280/280 - loss 0.03786722 - time (sec): 17.46 - samples/sec: 12124.09 - lr: 0.100000
2023-04-05 12:38:24,509 ----------------------------------------------------------------------------------------------------
2023-04-05 12:38:24,509 EPOCH 77 done: loss 0.0379 - lr 0.100000
2023-04-05 12:38:24,509 BAD EPOCHS (no improvement): 0
2023-04-05 12:38:24,512 ----------------------------------------------------------------------------------------------------
2023-04-05 12:38:26,292 epoch 78 - iter 28/280 - loss 0.03796693 - time (sec): 1.78 - samples/sec: 12077.04 - lr: 0.100000
2023-04-05 12:38:28,049 epoch 78 - iter 56/280 - loss 0.03586608 - time (sec): 3.54 - samples/sec: 12038.02 - lr: 0.100000
2023-04-05 12:38:29,760 epoch 78 - iter 84/280 - loss 0.03625761 - time (sec): 5.25 - samples/sec: 12086.06 - lr: 0.100000
2023-04-05 12:38:31,516 epoch 78 - iter 112/280 - loss 0.03569381 - time (sec): 7.00 - samples/sec: 12097.75 - lr: 0.100000
2023-04-05 12:38:33,251 epoch 78 - iter 140/280 - loss 0.03647958 - time (sec): 8.74 - samples/sec: 12101.00 - lr: 0.100000
2023-04-05 12:38:34,982 epoch 78 - iter 168/280 - loss 0.03631160 - time (sec): 10.47 - samples/sec: 12111.74 - lr: 0.100000
2023-04-05 12:38:36,741 epoch 78 - iter 196/280 - loss 0.03666988 - time (sec): 12.23 - samples/sec: 12114.71 - lr: 0.100000
2023-04-05 12:38:38,481 epoch 78 - iter 224/280 - loss 0.03674568 - time (sec): 13.97 - samples/sec: 12105.27 - lr: 0.100000
2023-04-05 12:38:40,255 epoch 78 - iter 252/280 - loss 0.03716378 - time (sec): 15.74 - samples/sec: 12090.39 - lr: 0.100000
2023-04-05 12:38:41,994 epoch 78 - iter 280/280 - loss 0.03704678 - time (sec): 17.48 - samples/sec: 12108.75 - lr: 0.100000
2023-04-05 12:38:41,994 ----------------------------------------------------------------------------------------------------
2023-04-05 12:38:41,994 EPOCH 78 done: loss 0.0370 - lr 0.100000
2023-04-05 12:38:41,994 BAD EPOCHS (no improvement): 0
2023-04-05 12:38:41,997 ----------------------------------------------------------------------------------------------------
2023-04-05 12:38:43,687 epoch 79 - iter 28/280 - loss 0.03392323 - time (sec): 1.69 - samples/sec: 12194.78 - lr: 0.100000
2023-04-05 12:38:45,367 epoch 79 - iter 56/280 - loss 0.03520389 - time (sec): 3.37 - samples/sec: 12391.01 - lr: 0.100000
2023-04-05 12:38:47,146 epoch 79 - iter 84/280 - loss 0.03633110 - time (sec): 5.15 - samples/sec: 12376.24 - lr: 0.100000
2023-04-05 12:38:48,911 epoch 79 - iter 112/280 - loss 0.03667243 - time (sec): 6.91 - samples/sec: 12339.18 - lr: 0.100000
2023-04-05 12:38:50,620 epoch 79 - iter 140/280 - loss 0.03748217 - time (sec): 8.62 - samples/sec: 12301.68 - lr: 0.100000
2023-04-05 12:38:52,409 epoch 79 - iter 168/280 - loss 0.03808995 - time (sec): 10.41 - samples/sec: 12263.04 - lr: 0.100000
2023-04-05 12:38:54,124 epoch 79 - iter 196/280 - loss 0.03844778 - time (sec): 12.13 - samples/sec: 12253.02 - lr: 0.100000
2023-04-05 12:38:55,894 epoch 79 - iter 224/280 - loss 0.03858101 - time (sec): 13.90 - samples/sec: 12229.44 - lr: 0.100000
2023-04-05 12:38:57,644 epoch 79 - iter 252/280 - loss 0.03845868 - time (sec): 15.65 - samples/sec: 12199.01 - lr: 0.100000
2023-04-05 12:38:59,369 epoch 79 - iter 280/280 - loss 0.03859506 - time (sec): 17.37 - samples/sec: 12185.87 - lr: 0.100000
2023-04-05 12:38:59,369 ----------------------------------------------------------------------------------------------------
2023-04-05 12:38:59,369 EPOCH 79 done: loss 0.0386 - lr 0.100000
2023-04-05 12:38:59,369 BAD EPOCHS (no improvement): 1
2023-04-05 12:38:59,372 ----------------------------------------------------------------------------------------------------
2023-04-05 12:39:01,134 epoch 80 - iter 28/280 - loss 0.03428015 - time (sec): 1.76 - samples/sec: 12216.27 - lr: 0.100000
2023-04-05 12:39:02,916 epoch 80 - iter 56/280 - loss 0.03452749 - time (sec): 3.54 - samples/sec: 12136.67 - lr: 0.100000
2023-04-05 12:39:04,677 epoch 80 - iter 84/280 - loss 0.03486693 - time (sec): 5.31 - samples/sec: 12104.79 - lr: 0.100000
2023-04-05 12:39:06,444 epoch 80 - iter 112/280 - loss 0.03451323 - time (sec): 7.07 - samples/sec: 12107.55 - lr: 0.100000
2023-04-05 12:39:08,176 epoch 80 - iter 140/280 - loss 0.03574104 - time (sec): 8.80 - samples/sec: 12108.57 - lr: 0.100000
2023-04-05 12:39:09,943 epoch 80 - iter 168/280 - loss 0.03550955 - time (sec): 10.57 - samples/sec: 12109.09 - lr: 0.100000
2023-04-05 12:39:11,632 epoch 80 - iter 196/280 - loss 0.03595843 - time (sec): 12.26 - samples/sec: 12140.96 - lr: 0.100000
2023-04-05 12:39:13,394 epoch 80 - iter 224/280 - loss 0.03605754 - time (sec): 14.02 - samples/sec: 12147.02 - lr: 0.100000
2023-04-05 12:39:15,080 epoch 80 - iter 252/280 - loss 0.03659418 - time (sec): 15.71 - samples/sec: 12178.27 - lr: 0.100000
2023-04-05 12:39:16,792 epoch 80 - iter 280/280 - loss 0.03645121 - time (sec): 17.42 - samples/sec: 12152.11 - lr: 0.100000
2023-04-05 12:39:16,792 ----------------------------------------------------------------------------------------------------
2023-04-05 12:39:16,792 EPOCH 80 done: loss 0.0365 - lr 0.100000
2023-04-05 12:39:16,792 BAD EPOCHS (no improvement): 0
2023-04-05 12:39:16,795 ----------------------------------------------------------------------------------------------------
2023-04-05 12:39:18,480 epoch 81 - iter 28/280 - loss 0.03590394 - time (sec): 1.69 - samples/sec: 12377.59 - lr: 0.100000
2023-04-05 12:39:20,168 epoch 81 - iter 56/280 - loss 0.03474257 - time (sec): 3.37 - samples/sec: 12350.93 - lr: 0.100000
2023-04-05 12:39:21,881 epoch 81 - iter 84/280 - loss 0.03490962 - time (sec): 5.09 - samples/sec: 12311.09 - lr: 0.100000
2023-04-05 12:39:23,595 epoch 81 - iter 112/280 - loss 0.03523553 - time (sec): 6.80 - samples/sec: 12364.59 - lr: 0.100000
2023-04-05 12:39:25,346 epoch 81 - iter 140/280 - loss 0.03556309 - time (sec): 8.55 - samples/sec: 12326.44 - lr: 0.100000
2023-04-05 12:39:27,150 epoch 81 - iter 168/280 - loss 0.03554954 - time (sec): 10.35 - samples/sec: 12266.11 - lr: 0.100000
2023-04-05 12:39:28,927 epoch 81 - iter 196/280 - loss 0.03573711 - time (sec): 12.13 - samples/sec: 12228.95 - lr: 0.100000
2023-04-05 12:39:30,663 epoch 81 - iter 224/280 - loss 0.03644354 - time (sec): 13.87 - samples/sec: 12228.37 - lr: 0.100000
2023-04-05 12:39:32,478 epoch 81 - iter 252/280 - loss 0.03706439 - time (sec): 15.68 - samples/sec: 12198.95 - lr: 0.100000
2023-04-05 12:39:34,205 epoch 81 - iter 280/280 - loss 0.03739678 - time (sec): 17.41 - samples/sec: 12158.95 - lr: 0.100000
2023-04-05 12:39:34,206 ----------------------------------------------------------------------------------------------------
2023-04-05 12:39:34,206 EPOCH 81 done: loss 0.0374 - lr 0.100000
2023-04-05 12:39:34,206 BAD EPOCHS (no improvement): 1
2023-04-05 12:39:34,209 ----------------------------------------------------------------------------------------------------
2023-04-05 12:39:35,954 epoch 82 - iter 28/280 - loss 0.03503511 - time (sec): 1.75 - samples/sec: 12020.46 - lr: 0.100000
2023-04-05 12:39:37,665 epoch 82 - iter 56/280 - loss 0.03682270 - time (sec): 3.46 - samples/sec: 12096.43 - lr: 0.100000
2023-04-05 12:39:39,470 epoch 82 - iter 84/280 - loss 0.03650923 - time (sec): 5.26 - samples/sec: 12047.12 - lr: 0.100000
2023-04-05 12:39:41,234 epoch 82 - iter 112/280 - loss 0.03608598 - time (sec): 7.03 - samples/sec: 12063.51 - lr: 0.100000
2023-04-05 12:39:43,007 epoch 82 - iter 140/280 - loss 0.03683088 - time (sec): 8.80 - samples/sec: 12080.83 - lr: 0.100000
2023-04-05 12:39:44,803 epoch 82 - iter 168/280 - loss 0.03748619 - time (sec): 10.59 - samples/sec: 12030.28 - lr: 0.100000
2023-04-05 12:39:46,545 epoch 82 - iter 196/280 - loss 0.03753730 - time (sec): 12.34 - samples/sec: 12091.35 - lr: 0.100000
2023-04-05 12:39:48,249 epoch 82 - iter 224/280 - loss 0.03786205 - time (sec): 14.04 - samples/sec: 12130.67 - lr: 0.100000
2023-04-05 12:39:49,921 epoch 82 - iter 252/280 - loss 0.03785609 - time (sec): 15.71 - samples/sec: 12159.44 - lr: 0.100000
2023-04-05 12:39:51,621 epoch 82 - iter 280/280 - loss 0.03819709 - time (sec): 17.41 - samples/sec: 12157.78 - lr: 0.100000
2023-04-05 12:39:51,621 ----------------------------------------------------------------------------------------------------
2023-04-05 12:39:51,621 EPOCH 82 done: loss 0.0382 - lr 0.100000
2023-04-05 12:39:51,621 BAD EPOCHS (no improvement): 2
2023-04-05 12:39:51,624 ----------------------------------------------------------------------------------------------------
2023-04-05 12:39:53,333 epoch 83 - iter 28/280 - loss 0.03417060 - time (sec): 1.71 - samples/sec: 12319.80 - lr: 0.100000
2023-04-05 12:39:55,092 epoch 83 - iter 56/280 - loss 0.03560914 - time (sec): 3.47 - samples/sec: 12301.57 - lr: 0.100000
2023-04-05 12:39:56,848 epoch 83 - iter 84/280 - loss 0.03610851 - time (sec): 5.22 - samples/sec: 12247.46 - lr: 0.100000
2023-04-05 12:39:58,548 epoch 83 - iter 112/280 - loss 0.03655525 - time (sec): 6.92 - samples/sec: 12297.20 - lr: 0.100000
2023-04-05 12:40:00,253 epoch 83 - iter 140/280 - loss 0.03754231 - time (sec): 8.63 - samples/sec: 12316.31 - lr: 0.100000
2023-04-05 12:40:01,999 epoch 83 - iter 168/280 - loss 0.03780406 - time (sec): 10.38 - samples/sec: 12307.68 - lr: 0.100000
2023-04-05 12:40:03,737 epoch 83 - iter 196/280 - loss 0.03746121 - time (sec): 12.11 - samples/sec: 12289.77 - lr: 0.100000
2023-04-05 12:40:05,527 epoch 83 - iter 224/280 - loss 0.03727081 - time (sec): 13.90 - samples/sec: 12238.54 - lr: 0.100000
2023-04-05 12:40:07,247 epoch 83 - iter 252/280 - loss 0.03715850 - time (sec): 15.62 - samples/sec: 12229.47 - lr: 0.100000
2023-04-05 12:40:08,954 epoch 83 - iter 280/280 - loss 0.03730682 - time (sec): 17.33 - samples/sec: 12215.02 - lr: 0.100000
2023-04-05 12:40:08,954 ----------------------------------------------------------------------------------------------------
2023-04-05 12:40:08,954 EPOCH 83 done: loss 0.0373 - lr 0.100000
2023-04-05 12:40:08,954 BAD EPOCHS (no improvement): 3
2023-04-05 12:40:08,963 ----------------------------------------------------------------------------------------------------
2023-04-05 12:40:10,755 epoch 84 - iter 28/280 - loss 0.03644985 - time (sec): 1.79 - samples/sec: 12159.73 - lr: 0.100000
2023-04-05 12:40:12,526 epoch 84 - iter 56/280 - loss 0.03493266 - time (sec): 3.56 - samples/sec: 12157.96 - lr: 0.100000
2023-04-05 12:40:14,285 epoch 84 - iter 84/280 - loss 0.03518310 - time (sec): 5.32 - samples/sec: 12121.94 - lr: 0.100000
2023-04-05 12:40:16,002 epoch 84 - iter 112/280 - loss 0.03551060 - time (sec): 7.04 - samples/sec: 12112.43 - lr: 0.100000
2023-04-05 12:40:17,749 epoch 84 - iter 140/280 - loss 0.03645834 - time (sec): 8.79 - samples/sec: 12134.53 - lr: 0.100000
2023-04-05 12:40:19,501 epoch 84 - iter 168/280 - loss 0.03577498 - time (sec): 10.54 - samples/sec: 12139.19 - lr: 0.100000
2023-04-05 12:40:21,224 epoch 84 - iter 196/280 - loss 0.03582836 - time (sec): 12.26 - samples/sec: 12180.88 - lr: 0.100000
2023-04-05 12:40:22,931 epoch 84 - iter 224/280 - loss 0.03577321 - time (sec): 13.97 - samples/sec: 12189.24 - lr: 0.100000
2023-04-05 12:40:24,693 epoch 84 - iter 252/280 - loss 0.03586804 - time (sec): 15.73 - samples/sec: 12157.42 - lr: 0.100000
2023-04-05 12:40:26,374 epoch 84 - iter 280/280 - loss 0.03586139 - time (sec): 17.41 - samples/sec: 12158.66 - lr: 0.100000
2023-04-05 12:40:26,374 ----------------------------------------------------------------------------------------------------
2023-04-05 12:40:26,374 EPOCH 84 done: loss 0.0359 - lr 0.100000
2023-04-05 12:40:26,374 BAD EPOCHS (no improvement): 0
2023-04-05 12:40:26,377 ----------------------------------------------------------------------------------------------------
2023-04-05 12:40:28,024 epoch 85 - iter 28/280 - loss 0.03410927 - time (sec): 1.65 - samples/sec: 12570.94 - lr: 0.100000
2023-04-05 12:40:29,760 epoch 85 - iter 56/280 - loss 0.03397760 - time (sec): 3.38 - samples/sec: 12364.23 - lr: 0.100000
2023-04-05 12:40:31,477 epoch 85 - iter 84/280 - loss 0.03512115 - time (sec): 5.10 - samples/sec: 12251.35 - lr: 0.100000
2023-04-05 12:40:33,199 epoch 85 - iter 112/280 - loss 0.03606098 - time (sec): 6.82 - samples/sec: 12267.98 - lr: 0.100000
2023-04-05 12:40:34,935 epoch 85 - iter 140/280 - loss 0.03553107 - time (sec): 8.56 - samples/sec: 12237.50 - lr: 0.100000
2023-04-05 12:40:36,703 epoch 85 - iter 168/280 - loss 0.03543236 - time (sec): 10.33 - samples/sec: 12219.57 - lr: 0.100000
2023-04-05 12:40:38,452 epoch 85 - iter 196/280 - loss 0.03542875 - time (sec): 12.07 - samples/sec: 12229.51 - lr: 0.100000
2023-04-05 12:40:40,184 epoch 85 - iter 224/280 - loss 0.03548176 - time (sec): 13.81 - samples/sec: 12257.14 - lr: 0.100000
2023-04-05 12:40:41,988 epoch 85 - iter 252/280 - loss 0.03577163 - time (sec): 15.61 - samples/sec: 12211.04 - lr: 0.100000
2023-04-05 12:40:43,742 epoch 85 - iter 280/280 - loss 0.03615917 - time (sec): 17.36 - samples/sec: 12190.71 - lr: 0.100000
2023-04-05 12:40:43,742 ----------------------------------------------------------------------------------------------------
2023-04-05 12:40:43,742 EPOCH 85 done: loss 0.0362 - lr 0.100000
2023-04-05 12:40:43,742 BAD EPOCHS (no improvement): 1
2023-04-05 12:40:43,745 ----------------------------------------------------------------------------------------------------
2023-04-05 12:40:45,517 epoch 86 - iter 28/280 - loss 0.03483692 - time (sec): 1.77 - samples/sec: 11895.38 - lr: 0.100000
2023-04-05 12:40:47,288 epoch 86 - iter 56/280 - loss 0.03595942 - time (sec): 3.54 - samples/sec: 11814.04 - lr: 0.100000
2023-04-05 12:40:49,052 epoch 86 - iter 84/280 - loss 0.03440199 - time (sec): 5.31 - samples/sec: 11827.32 - lr: 0.100000
2023-04-05 12:40:50,842 epoch 86 - iter 112/280 - loss 0.03402837 - time (sec): 7.10 - samples/sec: 11874.59 - lr: 0.100000
2023-04-05 12:40:52,588 epoch 86 - iter 140/280 - loss 0.03429795 - time (sec): 8.84 - samples/sec: 11947.63 - lr: 0.100000
2023-04-05 12:40:54,295 epoch 86 - iter 168/280 - loss 0.03432444 - time (sec): 10.55 - samples/sec: 12004.59 - lr: 0.100000
2023-04-05 12:40:56,032 epoch 86 - iter 196/280 - loss 0.03444256 - time (sec): 12.29 - samples/sec: 12031.25 - lr: 0.100000
2023-04-05 12:40:57,835 epoch 86 - iter 224/280 - loss 0.03450784 - time (sec): 14.09 - samples/sec: 12052.48 - lr: 0.100000
2023-04-05 12:40:59,571 epoch 86 - iter 252/280 - loss 0.03473541 - time (sec): 15.83 - samples/sec: 12079.04 - lr: 0.100000
2023-04-05 12:41:01,247 epoch 86 - iter 280/280 - loss 0.03512771 - time (sec): 17.50 - samples/sec: 12095.76 - lr: 0.100000
2023-04-05 12:41:01,247 ----------------------------------------------------------------------------------------------------
2023-04-05 12:41:01,247 EPOCH 86 done: loss 0.0351 - lr 0.100000
2023-04-05 12:41:01,247 BAD EPOCHS (no improvement): 0
2023-04-05 12:41:01,250 ----------------------------------------------------------------------------------------------------
2023-04-05 12:41:02,988 epoch 87 - iter 28/280 - loss 0.03479862 - time (sec): 1.74 - samples/sec: 11948.47 - lr: 0.100000
2023-04-05 12:41:04,640 epoch 87 - iter 56/280 - loss 0.03524917 - time (sec): 3.39 - samples/sec: 12309.95 - lr: 0.100000
2023-04-05 12:41:06,400 epoch 87 - iter 84/280 - loss 0.03468256 - time (sec): 5.15 - samples/sec: 12315.03 - lr: 0.100000
2023-04-05 12:41:08,135 epoch 87 - iter 112/280 - loss 0.03506919 - time (sec): 6.88 - samples/sec: 12323.07 - lr: 0.100000
2023-04-05 12:41:09,854 epoch 87 - iter 140/280 - loss 0.03541293 - time (sec): 8.60 - samples/sec: 12312.49 - lr: 0.100000
2023-04-05 12:41:11,537 epoch 87 - iter 168/280 - loss 0.03528876 - time (sec): 10.29 - samples/sec: 12327.43 - lr: 0.100000
2023-04-05 12:41:13,348 epoch 87 - iter 196/280 - loss 0.03533537 - time (sec): 12.10 - samples/sec: 12271.56 - lr: 0.100000
2023-04-05 12:41:15,134 epoch 87 - iter 224/280 - loss 0.03533264 - time (sec): 13.88 - samples/sec: 12228.18 - lr: 0.100000
2023-04-05 12:41:16,839 epoch 87 - iter 252/280 - loss 0.03545466 - time (sec): 15.59 - samples/sec: 12252.95 - lr: 0.100000
2023-04-05 12:41:18,591 epoch 87 - iter 280/280 - loss 0.03522351 - time (sec): 17.34 - samples/sec: 12207.17 - lr: 0.100000
2023-04-05 12:41:18,592 ----------------------------------------------------------------------------------------------------
2023-04-05 12:41:18,592 EPOCH 87 done: loss 0.0352 - lr 0.100000
2023-04-05 12:41:18,592 BAD EPOCHS (no improvement): 1
2023-04-05 12:41:18,595 ----------------------------------------------------------------------------------------------------
2023-04-05 12:41:20,342 epoch 88 - iter 28/280 - loss 0.03684375 - time (sec): 1.75 - samples/sec: 12111.07 - lr: 0.100000
2023-04-05 12:41:22,110 epoch 88 - iter 56/280 - loss 0.03599593 - time (sec): 3.52 - samples/sec: 12013.33 - lr: 0.100000
2023-04-05 12:41:23,874 epoch 88 - iter 84/280 - loss 0.03559489 - time (sec): 5.28 - samples/sec: 12031.14 - lr: 0.100000
2023-04-05 12:41:25,698 epoch 88 - iter 112/280 - loss 0.03511190 - time (sec): 7.10 - samples/sec: 11956.74 - lr: 0.100000
2023-04-05 12:41:27,471 epoch 88 - iter 140/280 - loss 0.03527592 - time (sec): 8.88 - samples/sec: 11914.61 - lr: 0.100000
2023-04-05 12:41:29,259 epoch 88 - iter 168/280 - loss 0.03544253 - time (sec): 10.66 - samples/sec: 11922.92 - lr: 0.100000
2023-04-05 12:41:31,022 epoch 88 - iter 196/280 - loss 0.03576488 - time (sec): 12.43 - samples/sec: 11957.53 - lr: 0.100000
2023-04-05 12:41:32,767 epoch 88 - iter 224/280 - loss 0.03593632 - time (sec): 14.17 - samples/sec: 11985.12 - lr: 0.100000
2023-04-05 12:41:34,501 epoch 88 - iter 252/280 - loss 0.03559523 - time (sec): 15.91 - samples/sec: 11967.57 - lr: 0.100000
2023-04-05 12:41:36,235 epoch 88 - iter 280/280 - loss 0.03580970 - time (sec): 17.64 - samples/sec: 12000.43 - lr: 0.100000
2023-04-05 12:41:36,235 ----------------------------------------------------------------------------------------------------
2023-04-05 12:41:36,235 EPOCH 88 done: loss 0.0358 - lr 0.100000
2023-04-05 12:41:36,235 BAD EPOCHS (no improvement): 2
2023-04-05 12:41:36,238 ----------------------------------------------------------------------------------------------------
2023-04-05 12:41:38,049 epoch 89 - iter 28/280 - loss 0.03591119 - time (sec): 1.81 - samples/sec: 11894.56 - lr: 0.100000
2023-04-05 12:41:39,762 epoch 89 - iter 56/280 - loss 0.03595874 - time (sec): 3.52 - samples/sec: 12136.41 - lr: 0.100000
2023-04-05 12:41:41,472 epoch 89 - iter 84/280 - loss 0.03498868 - time (sec): 5.23 - samples/sec: 12146.13 - lr: 0.100000
2023-04-05 12:41:43,195 epoch 89 - iter 112/280 - loss 0.03610717 - time (sec): 6.96 - samples/sec: 12246.60 - lr: 0.100000
2023-04-05 12:41:44,918 epoch 89 - iter 140/280 - loss 0.03614848 - time (sec): 8.68 - samples/sec: 12286.30 - lr: 0.100000
2023-04-05 12:41:46,627 epoch 89 - iter 168/280 - loss 0.03610477 - time (sec): 10.39 - samples/sec: 12319.78 - lr: 0.100000
2023-04-05 12:41:48,395 epoch 89 - iter 196/280 - loss 0.03550492 - time (sec): 12.16 - samples/sec: 12252.20 - lr: 0.100000
2023-04-05 12:41:50,162 epoch 89 - iter 224/280 - loss 0.03505142 - time (sec): 13.92 - samples/sec: 12219.00 - lr: 0.100000
2023-04-05 12:41:51,912 epoch 89 - iter 252/280 - loss 0.03509938 - time (sec): 15.67 - samples/sec: 12188.81 - lr: 0.100000
2023-04-05 12:41:53,675 epoch 89 - iter 280/280 - loss 0.03487215 - time (sec): 17.44 - samples/sec: 12140.47 - lr: 0.100000
2023-04-05 12:41:53,675 ----------------------------------------------------------------------------------------------------
2023-04-05 12:41:53,675 EPOCH 89 done: loss 0.0349 - lr 0.100000
2023-04-05 12:41:53,675 BAD EPOCHS (no improvement): 0
2023-04-05 12:41:53,678 ----------------------------------------------------------------------------------------------------
2023-04-05 12:41:55,446 epoch 90 - iter 28/280 - loss 0.03244017 - time (sec): 1.77 - samples/sec: 12073.66 - lr: 0.100000
2023-04-05 12:41:57,243 epoch 90 - iter 56/280 - loss 0.03511484 - time (sec): 3.56 - samples/sec: 12087.80 - lr: 0.100000
2023-04-05 12:41:59,010 epoch 90 - iter 84/280 - loss 0.03497913 - time (sec): 5.33 - samples/sec: 12098.15 - lr: 0.100000
2023-04-05 12:42:00,705 epoch 90 - iter 112/280 - loss 0.03476851 - time (sec): 7.03 - samples/sec: 12121.47 - lr: 0.100000
2023-04-05 12:42:02,471 epoch 90 - iter 140/280 - loss 0.03442521 - time (sec): 8.79 - samples/sec: 12074.04 - lr: 0.100000
2023-04-05 12:42:04,246 epoch 90 - iter 168/280 - loss 0.03440626 - time (sec): 10.57 - samples/sec: 12054.84 - lr: 0.100000
2023-04-05 12:42:06,003 epoch 90 - iter 196/280 - loss 0.03433800 - time (sec): 12.32 - samples/sec: 12083.42 - lr: 0.100000
2023-04-05 12:42:07,754 epoch 90 - iter 224/280 - loss 0.03423012 - time (sec): 14.08 - samples/sec: 12091.39 - lr: 0.100000
2023-04-05 12:42:09,469 epoch 90 - iter 252/280 - loss 0.03420028 - time (sec): 15.79 - samples/sec: 12087.02 - lr: 0.100000
2023-04-05 12:42:11,215 epoch 90 - iter 280/280 - loss 0.03413228 - time (sec): 17.54 - samples/sec: 12071.74 - lr: 0.100000
2023-04-05 12:42:11,215 ----------------------------------------------------------------------------------------------------
2023-04-05 12:42:11,215 EPOCH 90 done: loss 0.0341 - lr 0.100000
2023-04-05 12:42:11,215 BAD EPOCHS (no improvement): 0
2023-04-05 12:42:11,217 ----------------------------------------------------------------------------------------------------
2023-04-05 12:42:12,951 epoch 91 - iter 28/280 - loss 0.03274450 - time (sec): 1.73 - samples/sec: 12193.01 - lr: 0.100000
2023-04-05 12:42:14,685 epoch 91 - iter 56/280 - loss 0.03356924 - time (sec): 3.47 - samples/sec: 12266.87 - lr: 0.100000
2023-04-05 12:42:16,415 epoch 91 - iter 84/280 - loss 0.03427478 - time (sec): 5.20 - samples/sec: 12187.06 - lr: 0.100000
2023-04-05 12:42:18,195 epoch 91 - iter 112/280 - loss 0.03375528 - time (sec): 6.98 - samples/sec: 12159.27 - lr: 0.100000
2023-04-05 12:42:19,905 epoch 91 - iter 140/280 - loss 0.03350985 - time (sec): 8.69 - samples/sec: 12182.12 - lr: 0.100000
2023-04-05 12:42:21,687 epoch 91 - iter 168/280 - loss 0.03388902 - time (sec): 10.47 - samples/sec: 12185.87 - lr: 0.100000
2023-04-05 12:42:23,421 epoch 91 - iter 196/280 - loss 0.03424589 - time (sec): 12.20 - samples/sec: 12207.00 - lr: 0.100000
2023-04-05 12:42:25,102 epoch 91 - iter 224/280 - loss 0.03413444 - time (sec): 13.88 - samples/sec: 12205.35 - lr: 0.100000
2023-04-05 12:42:26,885 epoch 91 - iter 252/280 - loss 0.03430150 - time (sec): 15.67 - samples/sec: 12206.47 - lr: 0.100000
2023-04-05 12:42:28,580 epoch 91 - iter 280/280 - loss 0.03419609 - time (sec): 17.36 - samples/sec: 12192.18 - lr: 0.100000
2023-04-05 12:42:28,581 ----------------------------------------------------------------------------------------------------
2023-04-05 12:42:28,581 EPOCH 91 done: loss 0.0342 - lr 0.100000
2023-04-05 12:42:28,581 BAD EPOCHS (no improvement): 1
2023-04-05 12:42:28,583 ----------------------------------------------------------------------------------------------------
2023-04-05 12:42:30,331 epoch 92 - iter 28/280 - loss 0.03223319 - time (sec): 1.75 - samples/sec: 12059.18 - lr: 0.100000
2023-04-05 12:42:32,105 epoch 92 - iter 56/280 - loss 0.03397368 - time (sec): 3.52 - samples/sec: 11972.82 - lr: 0.100000
2023-04-05 12:42:33,853 epoch 92 - iter 84/280 - loss 0.03473657 - time (sec): 5.27 - samples/sec: 11979.78 - lr: 0.100000
2023-04-05 12:42:35,616 epoch 92 - iter 112/280 - loss 0.03441599 - time (sec): 7.03 - samples/sec: 12041.94 - lr: 0.100000
2023-04-05 12:42:37,371 epoch 92 - iter 140/280 - loss 0.03417954 - time (sec): 8.79 - samples/sec: 12083.55 - lr: 0.100000
2023-04-05 12:42:39,117 epoch 92 - iter 168/280 - loss 0.03371350 - time (sec): 10.53 - samples/sec: 12065.96 - lr: 0.100000
2023-04-05 12:42:40,840 epoch 92 - iter 196/280 - loss 0.03376422 - time (sec): 12.26 - samples/sec: 12074.14 - lr: 0.100000
2023-04-05 12:42:42,642 epoch 92 - iter 224/280 - loss 0.03398829 - time (sec): 14.06 - samples/sec: 12052.85 - lr: 0.100000
2023-04-05 12:42:44,395 epoch 92 - iter 252/280 - loss 0.03425683 - time (sec): 15.81 - samples/sec: 12078.06 - lr: 0.100000
2023-04-05 12:42:46,094 epoch 92 - iter 280/280 - loss 0.03439337 - time (sec): 17.51 - samples/sec: 12089.42 - lr: 0.100000
2023-04-05 12:42:46,094 ----------------------------------------------------------------------------------------------------
2023-04-05 12:42:46,094 EPOCH 92 done: loss 0.0344 - lr 0.100000
2023-04-05 12:42:46,094 BAD EPOCHS (no improvement): 2
2023-04-05 12:42:46,097 ----------------------------------------------------------------------------------------------------
2023-04-05 12:42:47,851 epoch 93 - iter 28/280 - loss 0.03290394 - time (sec): 1.75 - samples/sec: 12467.17 - lr: 0.100000
2023-04-05 12:42:49,528 epoch 93 - iter 56/280 - loss 0.03283689 - time (sec): 3.43 - samples/sec: 12487.53 - lr: 0.100000
2023-04-05 12:42:51,266 epoch 93 - iter 84/280 - loss 0.03297126 - time (sec): 5.17 - samples/sec: 12337.90 - lr: 0.100000
2023-04-05 12:42:52,987 epoch 93 - iter 112/280 - loss 0.03386320 - time (sec): 6.89 - samples/sec: 12359.00 - lr: 0.100000
2023-04-05 12:42:54,708 epoch 93 - iter 140/280 - loss 0.03435851 - time (sec): 8.61 - samples/sec: 12369.02 - lr: 0.100000
2023-04-05 12:42:56,543 epoch 93 - iter 168/280 - loss 0.03419975 - time (sec): 10.45 - samples/sec: 12257.21 - lr: 0.100000
2023-04-05 12:42:58,293 epoch 93 - iter 196/280 - loss 0.03442786 - time (sec): 12.20 - samples/sec: 12226.49 - lr: 0.100000
2023-04-05 12:42:59,998 epoch 93 - iter 224/280 - loss 0.03443717 - time (sec): 13.90 - samples/sec: 12209.84 - lr: 0.100000
2023-04-05 12:43:01,761 epoch 93 - iter 252/280 - loss 0.03461270 - time (sec): 15.66 - samples/sec: 12197.02 - lr: 0.100000
2023-04-05 12:43:03,486 epoch 93 - iter 280/280 - loss 0.03476692 - time (sec): 17.39 - samples/sec: 12173.75 - lr: 0.100000
2023-04-05 12:43:03,486 ----------------------------------------------------------------------------------------------------
2023-04-05 12:43:03,486 EPOCH 93 done: loss 0.0348 - lr 0.100000
2023-04-05 12:43:03,486 BAD EPOCHS (no improvement): 3
2023-04-05 12:43:03,489 ----------------------------------------------------------------------------------------------------
2023-04-05 12:43:05,271 epoch 94 - iter 28/280 - loss 0.03368857 - time (sec): 1.78 - samples/sec: 11964.21 - lr: 0.100000
2023-04-05 12:43:07,030 epoch 94 - iter 56/280 - loss 0.03290394 - time (sec): 3.54 - samples/sec: 12104.65 - lr: 0.100000
2023-04-05 12:43:08,820 epoch 94 - iter 84/280 - loss 0.03366395 - time (sec): 5.33 - samples/sec: 12028.33 - lr: 0.100000
2023-04-05 12:43:10,626 epoch 94 - iter 112/280 - loss 0.03427283 - time (sec): 7.14 - samples/sec: 12008.15 - lr: 0.100000
2023-04-05 12:43:12,373 epoch 94 - iter 140/280 - loss 0.03403041 - time (sec): 8.88 - samples/sec: 12016.31 - lr: 0.100000
2023-04-05 12:43:14,104 epoch 94 - iter 168/280 - loss 0.03404992 - time (sec): 10.61 - samples/sec: 12016.96 - lr: 0.100000
2023-04-05 12:43:15,821 epoch 94 - iter 196/280 - loss 0.03408427 - time (sec): 12.33 - samples/sec: 12044.09 - lr: 0.100000
2023-04-05 12:43:17,661 epoch 94 - iter 224/280 - loss 0.03399006 - time (sec): 14.17 - samples/sec: 12006.03 - lr: 0.100000
2023-04-05 12:43:19,393 epoch 94 - iter 252/280 - loss 0.03356676 - time (sec): 15.90 - samples/sec: 12033.84 - lr: 0.100000
2023-04-05 12:43:21,067 epoch 94 - iter 280/280 - loss 0.03397261 - time (sec): 17.58 - samples/sec: 12042.86 - lr: 0.100000
2023-04-05 12:43:21,067 ----------------------------------------------------------------------------------------------------
2023-04-05 12:43:21,067 EPOCH 94 done: loss 0.0340 - lr 0.100000
2023-04-05 12:43:21,067 BAD EPOCHS (no improvement): 0
2023-04-05 12:43:21,070 ----------------------------------------------------------------------------------------------------
2023-04-05 12:43:22,772 epoch 95 - iter 28/280 - loss 0.03657600 - time (sec): 1.70 - samples/sec: 12288.06 - lr: 0.100000
2023-04-05 12:43:24,497 epoch 95 - iter 56/280 - loss 0.03420448 - time (sec): 3.43 - samples/sec: 12214.91 - lr: 0.100000
2023-04-05 12:43:26,220 epoch 95 - iter 84/280 - loss 0.03216094 - time (sec): 5.15 - samples/sec: 12274.05 - lr: 0.100000
2023-04-05 12:43:27,950 epoch 95 - iter 112/280 - loss 0.03196780 - time (sec): 6.88 - samples/sec: 12267.50 - lr: 0.100000
2023-04-05 12:43:29,667 epoch 95 - iter 140/280 - loss 0.03207543 - time (sec): 8.60 - samples/sec: 12252.37 - lr: 0.100000
2023-04-05 12:43:31,399 epoch 95 - iter 168/280 - loss 0.03285448 - time (sec): 10.33 - samples/sec: 12270.98 - lr: 0.100000
2023-04-05 12:43:33,176 epoch 95 - iter 196/280 - loss 0.03338767 - time (sec): 12.11 - samples/sec: 12216.38 - lr: 0.100000
2023-04-05 12:43:34,923 epoch 95 - iter 224/280 - loss 0.03324791 - time (sec): 13.85 - samples/sec: 12240.26 - lr: 0.100000
2023-04-05 12:43:36,703 epoch 95 - iter 252/280 - loss 0.03343139 - time (sec): 15.63 - samples/sec: 12231.64 - lr: 0.100000
2023-04-05 12:43:38,419 epoch 95 - iter 280/280 - loss 0.03337498 - time (sec): 17.35 - samples/sec: 12202.04 - lr: 0.100000
2023-04-05 12:43:38,419 ----------------------------------------------------------------------------------------------------
2023-04-05 12:43:38,419 EPOCH 95 done: loss 0.0334 - lr 0.100000
2023-04-05 12:43:38,419 BAD EPOCHS (no improvement): 0
2023-04-05 12:43:38,422 ----------------------------------------------------------------------------------------------------
2023-04-05 12:43:40,138 epoch 96 - iter 28/280 - loss 0.03221893 - time (sec): 1.72 - samples/sec: 12232.84 - lr: 0.100000
2023-04-05 12:43:41,883 epoch 96 - iter 56/280 - loss 0.03212128 - time (sec): 3.46 - samples/sec: 12221.34 - lr: 0.100000
2023-04-05 12:43:43,620 epoch 96 - iter 84/280 - loss 0.03295576 - time (sec): 5.20 - samples/sec: 12163.23 - lr: 0.100000
2023-04-05 12:43:45,412 epoch 96 - iter 112/280 - loss 0.03312811 - time (sec): 6.99 - samples/sec: 12084.69 - lr: 0.100000
2023-04-05 12:43:47,257 epoch 96 - iter 140/280 - loss 0.03372720 - time (sec): 8.84 - samples/sec: 12004.18 - lr: 0.100000
2023-04-05 12:43:49,075 epoch 96 - iter 168/280 - loss 0.03388816 - time (sec): 10.65 - samples/sec: 11939.21 - lr: 0.100000
2023-04-05 12:43:50,785 epoch 96 - iter 196/280 - loss 0.03411550 - time (sec): 12.36 - samples/sec: 11979.88 - lr: 0.100000
2023-04-05 12:43:52,517 epoch 96 - iter 224/280 - loss 0.03426343 - time (sec): 14.10 - samples/sec: 12031.48 - lr: 0.100000
2023-04-05 12:43:54,263 epoch 96 - iter 252/280 - loss 0.03411692 - time (sec): 15.84 - samples/sec: 12029.83 - lr: 0.100000
2023-04-05 12:43:55,967 epoch 96 - iter 280/280 - loss 0.03421095 - time (sec): 17.54 - samples/sec: 12065.64 - lr: 0.100000
2023-04-05 12:43:55,967 ----------------------------------------------------------------------------------------------------
2023-04-05 12:43:55,967 EPOCH 96 done: loss 0.0342 - lr 0.100000
2023-04-05 12:43:55,967 BAD EPOCHS (no improvement): 1
2023-04-05 12:43:55,970 ----------------------------------------------------------------------------------------------------
2023-04-05 12:43:57,731 epoch 97 - iter 28/280 - loss 0.03325931 - time (sec): 1.76 - samples/sec: 11993.91 - lr: 0.100000
2023-04-05 12:43:59,450 epoch 97 - iter 56/280 - loss 0.03339643 - time (sec): 3.48 - samples/sec: 12090.13 - lr: 0.100000
2023-04-05 12:44:01,237 epoch 97 - iter 84/280 - loss 0.03321791 - time (sec): 5.27 - samples/sec: 12130.43 - lr: 0.100000
2023-04-05 12:44:02,981 epoch 97 - iter 112/280 - loss 0.03334200 - time (sec): 7.01 - samples/sec: 12144.11 - lr: 0.100000
2023-04-05 12:44:04,733 epoch 97 - iter 140/280 - loss 0.03265320 - time (sec): 8.76 - samples/sec: 12120.55 - lr: 0.100000
2023-04-05 12:44:06,437 epoch 97 - iter 168/280 - loss 0.03326560 - time (sec): 10.47 - samples/sec: 12146.09 - lr: 0.100000
2023-04-05 12:44:08,174 epoch 97 - iter 196/280 - loss 0.03302105 - time (sec): 12.20 - samples/sec: 12184.27 - lr: 0.100000
2023-04-05 12:44:09,918 epoch 97 - iter 224/280 - loss 0.03316637 - time (sec): 13.95 - samples/sec: 12205.16 - lr: 0.100000
2023-04-05 12:44:11,671 epoch 97 - iter 252/280 - loss 0.03320498 - time (sec): 15.70 - samples/sec: 12194.01 - lr: 0.100000
2023-04-05 12:44:13,372 epoch 97 - iter 280/280 - loss 0.03343618 - time (sec): 17.40 - samples/sec: 12164.58 - lr: 0.100000
2023-04-05 12:44:13,372 ----------------------------------------------------------------------------------------------------
2023-04-05 12:44:13,372 EPOCH 97 done: loss 0.0334 - lr 0.100000
2023-04-05 12:44:13,372 BAD EPOCHS (no improvement): 2
2023-04-05 12:44:13,375 ----------------------------------------------------------------------------------------------------
2023-04-05 12:44:15,142 epoch 98 - iter 28/280 - loss 0.03079066 - time (sec): 1.77 - samples/sec: 11972.12 - lr: 0.100000
2023-04-05 12:44:16,917 epoch 98 - iter 56/280 - loss 0.03126739 - time (sec): 3.54 - samples/sec: 12146.18 - lr: 0.100000
2023-04-05 12:44:18,711 epoch 98 - iter 84/280 - loss 0.03168436 - time (sec): 5.34 - samples/sec: 11975.02 - lr: 0.100000
2023-04-05 12:44:21,902 epoch 98 - iter 112/280 - loss 0.03207213 - time (sec): 8.53 - samples/sec: 9959.40 - lr: 0.100000
2023-04-05 12:44:23,672 epoch 98 - iter 140/280 - loss 0.03271512 - time (sec): 10.30 - samples/sec: 10295.74 - lr: 0.100000
2023-04-05 12:44:25,433 epoch 98 - iter 168/280 - loss 0.03301481 - time (sec): 12.06 - samples/sec: 10559.05 - lr: 0.100000
2023-04-05 12:44:27,208 epoch 98 - iter 196/280 - loss 0.03334400 - time (sec): 13.83 - samples/sec: 10747.47 - lr: 0.100000
2023-04-05 12:44:28,981 epoch 98 - iter 224/280 - loss 0.03355534 - time (sec): 15.61 - samples/sec: 10877.04 - lr: 0.100000
2023-04-05 12:44:30,729 epoch 98 - iter 252/280 - loss 0.03368900 - time (sec): 17.35 - samples/sec: 11013.44 - lr: 0.100000
2023-04-05 12:44:32,447 epoch 98 - iter 280/280 - loss 0.03411506 - time (sec): 19.07 - samples/sec: 11100.18 - lr: 0.100000
2023-04-05 12:44:32,447 ----------------------------------------------------------------------------------------------------
2023-04-05 12:44:32,447 EPOCH 98 done: loss 0.0341 - lr 0.100000
2023-04-05 12:44:32,447 BAD EPOCHS (no improvement): 3
2023-04-05 12:44:32,449 ----------------------------------------------------------------------------------------------------
2023-04-05 12:44:34,236 epoch 99 - iter 28/280 - loss 0.03157554 - time (sec): 1.79 - samples/sec: 12100.07 - lr: 0.100000
2023-04-05 12:44:35,970 epoch 99 - iter 56/280 - loss 0.03134513 - time (sec): 3.52 - samples/sec: 12176.48 - lr: 0.100000
2023-04-05 12:44:37,714 epoch 99 - iter 84/280 - loss 0.03072045 - time (sec): 5.26 - samples/sec: 12269.77 - lr: 0.100000
2023-04-05 12:44:39,451 epoch 99 - iter 112/280 - loss 0.03133015 - time (sec): 7.00 - samples/sec: 12270.36 - lr: 0.100000
2023-04-05 12:44:41,126 epoch 99 - iter 140/280 - loss 0.03123977 - time (sec): 8.68 - samples/sec: 12286.90 - lr: 0.100000
2023-04-05 12:44:42,853 epoch 99 - iter 168/280 - loss 0.03119947 - time (sec): 10.40 - samples/sec: 12298.05 - lr: 0.100000
2023-04-05 12:44:44,579 epoch 99 - iter 196/280 - loss 0.03151914 - time (sec): 12.13 - samples/sec: 12296.20 - lr: 0.100000
2023-04-05 12:44:46,311 epoch 99 - iter 224/280 - loss 0.03206872 - time (sec): 13.86 - samples/sec: 12257.85 - lr: 0.100000
2023-04-05 12:44:48,092 epoch 99 - iter 252/280 - loss 0.03233693 - time (sec): 15.64 - samples/sec: 12215.69 - lr: 0.100000
2023-04-05 12:44:49,836 epoch 99 - iter 280/280 - loss 0.03224277 - time (sec): 17.39 - samples/sec: 12175.43 - lr: 0.100000
2023-04-05 12:44:49,836 ----------------------------------------------------------------------------------------------------
2023-04-05 12:44:49,836 EPOCH 99 done: loss 0.0322 - lr 0.100000
2023-04-05 12:44:49,836 BAD EPOCHS (no improvement): 0
2023-04-05 12:44:49,839 ----------------------------------------------------------------------------------------------------
2023-04-05 12:44:51,522 epoch 100 - iter 28/280 - loss 0.02829607 - time (sec): 1.68 - samples/sec: 12302.69 - lr: 0.100000
2023-04-05 12:44:53,300 epoch 100 - iter 56/280 - loss 0.03029009 - time (sec): 3.46 - samples/sec: 12163.06 - lr: 0.100000
2023-04-05 12:44:55,124 epoch 100 - iter 84/280 - loss 0.03067907 - time (sec): 5.29 - samples/sec: 12045.15 - lr: 0.100000
2023-04-05 12:44:56,955 epoch 100 - iter 112/280 - loss 0.03135293 - time (sec): 7.12 - samples/sec: 11995.58 - lr: 0.100000
2023-04-05 12:44:58,707 epoch 100 - iter 140/280 - loss 0.03147136 - time (sec): 8.87 - samples/sec: 12016.12 - lr: 0.100000
2023-04-05 12:45:00,464 epoch 100 - iter 168/280 - loss 0.03142811 - time (sec): 10.62 - samples/sec: 12016.56 - lr: 0.100000
2023-04-05 12:45:02,234 epoch 100 - iter 196/280 - loss 0.03189800 - time (sec): 12.40 - samples/sec: 11992.68 - lr: 0.100000
2023-04-05 12:45:03,970 epoch 100 - iter 224/280 - loss 0.03215942 - time (sec): 14.13 - samples/sec: 12020.24 - lr: 0.100000
2023-04-05 12:45:05,722 epoch 100 - iter 252/280 - loss 0.03226142 - time (sec): 15.88 - samples/sec: 12038.75 - lr: 0.100000
2023-04-05 12:45:07,414 epoch 100 - iter 280/280 - loss 0.03241408 - time (sec): 17.58 - samples/sec: 12044.97 - lr: 0.100000
2023-04-05 12:45:07,414 ----------------------------------------------------------------------------------------------------
2023-04-05 12:45:07,414 EPOCH 100 done: loss 0.0324 - lr 0.100000
2023-04-05 12:45:07,415 BAD EPOCHS (no improvement): 1
2023-04-05 12:45:07,417 ----------------------------------------------------------------------------------------------------
2023-04-05 12:45:09,141 epoch 101 - iter 28/280 - loss 0.03265457 - time (sec): 1.72 - samples/sec: 12093.39 - lr: 0.100000
2023-04-05 12:45:10,945 epoch 101 - iter 56/280 - loss 0.03278104 - time (sec): 3.53 - samples/sec: 12128.14 - lr: 0.100000
2023-04-05 12:45:12,631 epoch 101 - iter 84/280 - loss 0.03297487 - time (sec): 5.21 - samples/sec: 12231.57 - lr: 0.100000
2023-04-05 12:45:14,375 epoch 101 - iter 112/280 - loss 0.03222687 - time (sec): 6.96 - samples/sec: 12204.03 - lr: 0.100000
2023-04-05 12:45:16,067 epoch 101 - iter 140/280 - loss 0.03234093 - time (sec): 8.65 - samples/sec: 12223.13 - lr: 0.100000
2023-04-05 12:45:17,830 epoch 101 - iter 168/280 - loss 0.03286168 - time (sec): 10.41 - samples/sec: 12191.86 - lr: 0.100000
2023-04-05 12:45:19,545 epoch 101 - iter 196/280 - loss 0.03262378 - time (sec): 12.13 - samples/sec: 12196.22 - lr: 0.100000
2023-04-05 12:45:21,305 epoch 101 - iter 224/280 - loss 0.03332739 - time (sec): 13.89 - samples/sec: 12203.15 - lr: 0.100000
2023-04-05 12:45:23,082 epoch 101 - iter 252/280 - loss 0.03329326 - time (sec): 15.67 - samples/sec: 12184.01 - lr: 0.100000
2023-04-05 12:45:24,816 epoch 101 - iter 280/280 - loss 0.03350529 - time (sec): 17.40 - samples/sec: 12166.80 - lr: 0.100000
2023-04-05 12:45:24,816 ----------------------------------------------------------------------------------------------------
2023-04-05 12:45:24,816 EPOCH 101 done: loss 0.0335 - lr 0.100000
2023-04-05 12:45:24,816 BAD EPOCHS (no improvement): 2
2023-04-05 12:45:24,819 ----------------------------------------------------------------------------------------------------
2023-04-05 12:45:26,561 epoch 102 - iter 28/280 - loss 0.03318023 - time (sec): 1.74 - samples/sec: 12166.30 - lr: 0.100000
2023-04-05 12:45:28,348 epoch 102 - iter 56/280 - loss 0.03197410 - time (sec): 3.53 - samples/sec: 12073.33 - lr: 0.100000
2023-04-05 12:45:30,313 epoch 102 - iter 84/280 - loss 0.03240532 - time (sec): 5.49 - samples/sec: 11591.30 - lr: 0.100000
2023-04-05 12:45:32,092 epoch 102 - iter 112/280 - loss 0.03217237 - time (sec): 7.27 - samples/sec: 11656.99 - lr: 0.100000
2023-04-05 12:45:33,830 epoch 102 - iter 140/280 - loss 0.03305178 - time (sec): 9.01 - samples/sec: 11696.95 - lr: 0.100000
2023-04-05 12:45:35,624 epoch 102 - iter 168/280 - loss 0.03236472 - time (sec): 10.81 - samples/sec: 11763.43 - lr: 0.100000
2023-04-05 12:45:37,412 epoch 102 - iter 196/280 - loss 0.03259814 - time (sec): 12.59 - samples/sec: 11820.87 - lr: 0.100000
2023-04-05 12:45:39,181 epoch 102 - iter 224/280 - loss 0.03274492 - time (sec): 14.36 - samples/sec: 11827.69 - lr: 0.100000
2023-04-05 12:45:40,930 epoch 102 - iter 252/280 - loss 0.03250620 - time (sec): 16.11 - samples/sec: 11859.65 - lr: 0.100000
2023-04-05 12:45:42,637 epoch 102 - iter 280/280 - loss 0.03244657 - time (sec): 17.82 - samples/sec: 11880.62 - lr: 0.100000
2023-04-05 12:45:42,637 ----------------------------------------------------------------------------------------------------
2023-04-05 12:45:42,637 EPOCH 102 done: loss 0.0324 - lr 0.100000
2023-04-05 12:45:42,637 BAD EPOCHS (no improvement): 3
2023-04-05 12:45:42,640 ----------------------------------------------------------------------------------------------------
2023-04-05 12:45:44,380 epoch 103 - iter 28/280 - loss 0.02984219 - time (sec): 1.74 - samples/sec: 12231.71 - lr: 0.100000
2023-04-05 12:45:46,092 epoch 103 - iter 56/280 - loss 0.03049282 - time (sec): 3.45 - samples/sec: 12191.06 - lr: 0.100000
2023-04-05 12:45:47,839 epoch 103 - iter 84/280 - loss 0.03218973 - time (sec): 5.20 - samples/sec: 12141.67 - lr: 0.100000
2023-04-05 12:45:49,570 epoch 103 - iter 112/280 - loss 0.03215266 - time (sec): 6.93 - samples/sec: 12134.89 - lr: 0.100000
2023-04-05 12:45:51,314 epoch 103 - iter 140/280 - loss 0.03201615 - time (sec): 8.67 - samples/sec: 12167.20 - lr: 0.100000
2023-04-05 12:45:53,058 epoch 103 - iter 168/280 - loss 0.03174289 - time (sec): 10.42 - samples/sec: 12175.03 - lr: 0.100000
2023-04-05 12:45:54,785 epoch 103 - iter 196/280 - loss 0.03244035 - time (sec): 12.15 - samples/sec: 12194.96 - lr: 0.100000
2023-04-05 12:45:56,560 epoch 103 - iter 224/280 - loss 0.03259518 - time (sec): 13.92 - samples/sec: 12206.98 - lr: 0.100000
2023-04-05 12:45:58,301 epoch 103 - iter 252/280 - loss 0.03206029 - time (sec): 15.66 - samples/sec: 12183.29 - lr: 0.100000
2023-04-05 12:46:00,023 epoch 103 - iter 280/280 - loss 0.03226779 - time (sec): 17.38 - samples/sec: 12177.94 - lr: 0.100000
2023-04-05 12:46:00,023 ----------------------------------------------------------------------------------------------------
2023-04-05 12:46:00,023 EPOCH 103 done: loss 0.0323 - lr 0.100000
2023-04-05 12:46:00,023 Epoch 103: reducing learning rate of group 0 to 5.0000e-02.
2023-04-05 12:46:00,023 BAD EPOCHS (no improvement): 4
2023-04-05 12:46:00,026 ----------------------------------------------------------------------------------------------------
2023-04-05 12:46:01,818 epoch 104 - iter 28/280 - loss 0.03132098 - time (sec): 1.79 - samples/sec: 11825.97 - lr: 0.050000
2023-04-05 12:46:03,575 epoch 104 - iter 56/280 - loss 0.03080767 - time (sec): 3.55 - samples/sec: 12090.95 - lr: 0.050000
2023-04-05 12:46:05,348 epoch 104 - iter 84/280 - loss 0.03038033 - time (sec): 5.32 - samples/sec: 12043.94 - lr: 0.050000
2023-04-05 12:46:07,102 epoch 104 - iter 112/280 - loss 0.03034047 - time (sec): 7.08 - samples/sec: 11981.31 - lr: 0.050000
2023-04-05 12:46:08,871 epoch 104 - iter 140/280 - loss 0.02993015 - time (sec): 8.85 - samples/sec: 11997.57 - lr: 0.050000
2023-04-05 12:46:10,677 epoch 104 - iter 168/280 - loss 0.03039568 - time (sec): 10.65 - samples/sec: 11989.29 - lr: 0.050000
2023-04-05 12:46:12,428 epoch 104 - iter 196/280 - loss 0.03034854 - time (sec): 12.40 - samples/sec: 11980.02 - lr: 0.050000
2023-04-05 12:46:14,196 epoch 104 - iter 224/280 - loss 0.03035888 - time (sec): 14.17 - samples/sec: 12017.87 - lr: 0.050000
2023-04-05 12:46:15,939 epoch 104 - iter 252/280 - loss 0.03018024 - time (sec): 15.91 - samples/sec: 12016.42 - lr: 0.050000
2023-04-05 12:46:17,630 epoch 104 - iter 280/280 - loss 0.03000037 - time (sec): 17.60 - samples/sec: 12024.69 - lr: 0.050000
2023-04-05 12:46:17,631 ----------------------------------------------------------------------------------------------------
2023-04-05 12:46:17,631 EPOCH 104 done: loss 0.0300 - lr 0.050000
2023-04-05 12:46:17,631 BAD EPOCHS (no improvement): 0
2023-04-05 12:46:17,633 ----------------------------------------------------------------------------------------------------
2023-04-05 12:46:19,355 epoch 105 - iter 28/280 - loss 0.02898283 - time (sec): 1.72 - samples/sec: 12232.61 - lr: 0.050000
2023-04-05 12:46:21,151 epoch 105 - iter 56/280 - loss 0.02988523 - time (sec): 3.52 - samples/sec: 12169.95 - lr: 0.050000
2023-04-05 12:46:22,847 epoch 105 - iter 84/280 - loss 0.02869501 - time (sec): 5.21 - samples/sec: 12255.65 - lr: 0.050000
2023-04-05 12:46:24,535 epoch 105 - iter 112/280 - loss 0.02877342 - time (sec): 6.90 - samples/sec: 12318.09 - lr: 0.050000
2023-04-05 12:46:26,279 epoch 105 - iter 140/280 - loss 0.02876943 - time (sec): 8.65 - samples/sec: 12294.31 - lr: 0.050000
2023-04-05 12:46:28,025 epoch 105 - iter 168/280 - loss 0.02910387 - time (sec): 10.39 - samples/sec: 12283.30 - lr: 0.050000
2023-04-05 12:46:29,740 epoch 105 - iter 196/280 - loss 0.02946421 - time (sec): 12.11 - samples/sec: 12240.38 - lr: 0.050000
2023-04-05 12:46:31,509 epoch 105 - iter 224/280 - loss 0.02943248 - time (sec): 13.88 - samples/sec: 12230.36 - lr: 0.050000
2023-04-05 12:46:33,228 epoch 105 - iter 252/280 - loss 0.02955131 - time (sec): 15.59 - samples/sec: 12240.21 - lr: 0.050000
2023-04-05 12:46:34,947 epoch 105 - iter 280/280 - loss 0.02955234 - time (sec): 17.31 - samples/sec: 12226.81 - lr: 0.050000
2023-04-05 12:46:34,947 ----------------------------------------------------------------------------------------------------
2023-04-05 12:46:34,947 EPOCH 105 done: loss 0.0296 - lr 0.050000
2023-04-05 12:46:34,947 BAD EPOCHS (no improvement): 0
2023-04-05 12:46:34,949 ----------------------------------------------------------------------------------------------------
2023-04-05 12:46:36,718 epoch 106 - iter 28/280 - loss 0.02764208 - time (sec): 1.77 - samples/sec: 11960.87 - lr: 0.050000
2023-04-05 12:46:38,461 epoch 106 - iter 56/280 - loss 0.02598417 - time (sec): 3.51 - samples/sec: 12005.41 - lr: 0.050000
2023-04-05 12:46:40,254 epoch 106 - iter 84/280 - loss 0.02682143 - time (sec): 5.30 - samples/sec: 12034.38 - lr: 0.050000
2023-04-05 12:46:42,003 epoch 106 - iter 112/280 - loss 0.02694158 - time (sec): 7.05 - samples/sec: 12071.95 - lr: 0.050000
2023-04-05 12:46:43,768 epoch 106 - iter 140/280 - loss 0.02684410 - time (sec): 8.82 - samples/sec: 12063.40 - lr: 0.050000
2023-04-05 12:46:45,501 epoch 106 - iter 168/280 - loss 0.02713238 - time (sec): 10.55 - samples/sec: 12066.06 - lr: 0.050000
2023-04-05 12:46:47,250 epoch 106 - iter 196/280 - loss 0.02721843 - time (sec): 12.30 - samples/sec: 12072.51 - lr: 0.050000
2023-04-05 12:46:49,056 epoch 106 - iter 224/280 - loss 0.02778956 - time (sec): 14.11 - samples/sec: 12040.72 - lr: 0.050000
2023-04-05 12:46:50,810 epoch 106 - iter 252/280 - loss 0.02789724 - time (sec): 15.86 - samples/sec: 12027.24 - lr: 0.050000
2023-04-05 12:46:52,536 epoch 106 - iter 280/280 - loss 0.02777058 - time (sec): 17.59 - samples/sec: 12036.64 - lr: 0.050000
2023-04-05 12:46:52,537 ----------------------------------------------------------------------------------------------------
2023-04-05 12:46:52,537 EPOCH 106 done: loss 0.0278 - lr 0.050000
2023-04-05 12:46:52,537 BAD EPOCHS (no improvement): 0
2023-04-05 12:46:52,539 ----------------------------------------------------------------------------------------------------
2023-04-05 12:46:54,268 epoch 107 - iter 28/280 - loss 0.02380034 - time (sec): 1.73 - samples/sec: 12213.31 - lr: 0.050000
2023-04-05 12:46:55,990 epoch 107 - iter 56/280 - loss 0.02554838 - time (sec): 3.45 - samples/sec: 12186.78 - lr: 0.050000
2023-04-05 12:46:57,724 epoch 107 - iter 84/280 - loss 0.02607089 - time (sec): 5.18 - samples/sec: 12182.21 - lr: 0.050000
2023-04-05 12:46:59,482 epoch 107 - iter 112/280 - loss 0.02611494 - time (sec): 6.94 - samples/sec: 12182.42 - lr: 0.050000
2023-04-05 12:47:01,234 epoch 107 - iter 140/280 - loss 0.02627867 - time (sec): 8.69 - samples/sec: 12205.52 - lr: 0.050000
2023-04-05 12:47:02,992 epoch 107 - iter 168/280 - loss 0.02609437 - time (sec): 10.45 - samples/sec: 12177.08 - lr: 0.050000
2023-04-05 12:47:04,783 epoch 107 - iter 196/280 - loss 0.02682268 - time (sec): 12.24 - samples/sec: 12165.55 - lr: 0.050000
2023-04-05 12:47:06,494 epoch 107 - iter 224/280 - loss 0.02687461 - time (sec): 13.95 - samples/sec: 12184.12 - lr: 0.050000
2023-04-05 12:47:08,255 epoch 107 - iter 252/280 - loss 0.02676059 - time (sec): 15.72 - samples/sec: 12169.08 - lr: 0.050000
2023-04-05 12:47:09,956 epoch 107 - iter 280/280 - loss 0.02640523 - time (sec): 17.42 - samples/sec: 12154.56 - lr: 0.050000
2023-04-05 12:47:09,956 ----------------------------------------------------------------------------------------------------
2023-04-05 12:47:09,956 EPOCH 107 done: loss 0.0264 - lr 0.050000
2023-04-05 12:47:09,956 BAD EPOCHS (no improvement): 0
2023-04-05 12:47:09,959 ----------------------------------------------------------------------------------------------------
2023-04-05 12:47:11,739 epoch 108 - iter 28/280 - loss 0.02490951 - time (sec): 1.78 - samples/sec: 12181.77 - lr: 0.050000
2023-04-05 12:47:13,506 epoch 108 - iter 56/280 - loss 0.02608656 - time (sec): 3.55 - samples/sec: 12030.41 - lr: 0.050000
2023-04-05 12:47:15,312 epoch 108 - iter 84/280 - loss 0.02660882 - time (sec): 5.35 - samples/sec: 12000.73 - lr: 0.050000
2023-04-05 12:47:17,095 epoch 108 - iter 112/280 - loss 0.02656341 - time (sec): 7.14 - samples/sec: 12065.24 - lr: 0.050000
2023-04-05 12:47:18,837 epoch 108 - iter 140/280 - loss 0.02556916 - time (sec): 8.88 - samples/sec: 12019.52 - lr: 0.050000
2023-04-05 12:47:20,604 epoch 108 - iter 168/280 - loss 0.02611801 - time (sec): 10.64 - samples/sec: 12006.48 - lr: 0.050000
2023-04-05 12:47:22,331 epoch 108 - iter 196/280 - loss 0.02609794 - time (sec): 12.37 - samples/sec: 12030.99 - lr: 0.050000
2023-04-05 12:47:24,081 epoch 108 - iter 224/280 - loss 0.02637511 - time (sec): 14.12 - samples/sec: 12046.03 - lr: 0.050000
2023-04-05 12:47:25,825 epoch 108 - iter 252/280 - loss 0.02649433 - time (sec): 15.87 - samples/sec: 12062.32 - lr: 0.050000
2023-04-05 12:47:27,531 epoch 108 - iter 280/280 - loss 0.02665389 - time (sec): 17.57 - samples/sec: 12047.08 - lr: 0.050000
2023-04-05 12:47:27,532 ----------------------------------------------------------------------------------------------------
2023-04-05 12:47:27,532 EPOCH 108 done: loss 0.0267 - lr 0.050000
2023-04-05 12:47:27,532 BAD EPOCHS (no improvement): 1
2023-04-05 12:47:27,534 ----------------------------------------------------------------------------------------------------
2023-04-05 12:47:29,285 epoch 109 - iter 28/280 - loss 0.02523871 - time (sec): 1.75 - samples/sec: 12314.07 - lr: 0.050000
2023-04-05 12:47:31,006 epoch 109 - iter 56/280 - loss 0.02750722 - time (sec): 3.47 - samples/sec: 12217.27 - lr: 0.050000
2023-04-05 12:47:32,775 epoch 109 - iter 84/280 - loss 0.02790023 - time (sec): 5.24 - samples/sec: 12197.33 - lr: 0.050000
2023-04-05 12:47:34,499 epoch 109 - iter 112/280 - loss 0.02844089 - time (sec): 6.97 - samples/sec: 12219.16 - lr: 0.050000
2023-04-05 12:47:36,259 epoch 109 - iter 140/280 - loss 0.02833034 - time (sec): 8.72 - samples/sec: 12213.51 - lr: 0.050000
2023-04-05 12:47:38,024 epoch 109 - iter 168/280 - loss 0.02823465 - time (sec): 10.49 - samples/sec: 12182.41 - lr: 0.050000
2023-04-05 12:47:39,738 epoch 109 - iter 196/280 - loss 0.02821927 - time (sec): 12.20 - samples/sec: 12191.04 - lr: 0.050000
2023-04-05 12:47:41,496 epoch 109 - iter 224/280 - loss 0.02814978 - time (sec): 13.96 - samples/sec: 12194.58 - lr: 0.050000
2023-04-05 12:47:43,216 epoch 109 - iter 252/280 - loss 0.02776666 - time (sec): 15.68 - samples/sec: 12214.30 - lr: 0.050000
2023-04-05 12:47:44,892 epoch 109 - iter 280/280 - loss 0.02743623 - time (sec): 17.36 - samples/sec: 12195.93 - lr: 0.050000
2023-04-05 12:47:44,892 ----------------------------------------------------------------------------------------------------
2023-04-05 12:47:44,892 EPOCH 109 done: loss 0.0274 - lr 0.050000
2023-04-05 12:47:44,892 BAD EPOCHS (no improvement): 2
2023-04-05 12:47:44,894 ----------------------------------------------------------------------------------------------------
2023-04-05 12:47:46,629 epoch 110 - iter 28/280 - loss 0.02689357 - time (sec): 1.73 - samples/sec: 12259.24 - lr: 0.050000
2023-04-05 12:47:48,403 epoch 110 - iter 56/280 - loss 0.02755987 - time (sec): 3.51 - samples/sec: 12158.79 - lr: 0.050000
2023-04-05 12:47:50,125 epoch 110 - iter 84/280 - loss 0.02742100 - time (sec): 5.23 - samples/sec: 12068.96 - lr: 0.050000
2023-04-05 12:47:51,904 epoch 110 - iter 112/280 - loss 0.02733221 - time (sec): 7.01 - samples/sec: 12046.98 - lr: 0.050000
2023-04-05 12:47:53,681 epoch 110 - iter 140/280 - loss 0.02678981 - time (sec): 8.79 - samples/sec: 12005.63 - lr: 0.050000
2023-04-05 12:47:55,483 epoch 110 - iter 168/280 - loss 0.02676034 - time (sec): 10.59 - samples/sec: 12040.50 - lr: 0.050000
2023-04-05 12:47:57,267 epoch 110 - iter 196/280 - loss 0.02712591 - time (sec): 12.37 - samples/sec: 11991.59 - lr: 0.050000
2023-04-05 12:47:59,032 epoch 110 - iter 224/280 - loss 0.02714834 - time (sec): 14.14 - samples/sec: 12000.24 - lr: 0.050000
2023-04-05 12:48:00,806 epoch 110 - iter 252/280 - loss 0.02724674 - time (sec): 15.91 - samples/sec: 12002.08 - lr: 0.050000
2023-04-05 12:48:02,530 epoch 110 - iter 280/280 - loss 0.02689915 - time (sec): 17.64 - samples/sec: 12003.76 - lr: 0.050000
2023-04-05 12:48:02,530 ----------------------------------------------------------------------------------------------------
2023-04-05 12:48:02,530 EPOCH 110 done: loss 0.0269 - lr 0.050000
2023-04-05 12:48:02,530 BAD EPOCHS (no improvement): 3
2023-04-05 12:48:02,533 ----------------------------------------------------------------------------------------------------
2023-04-05 12:48:04,273 epoch 111 - iter 28/280 - loss 0.02884313 - time (sec): 1.74 - samples/sec: 12152.52 - lr: 0.050000
2023-04-05 12:48:05,976 epoch 111 - iter 56/280 - loss 0.02713256 - time (sec): 3.44 - samples/sec: 12218.97 - lr: 0.050000
2023-04-05 12:48:07,731 epoch 111 - iter 84/280 - loss 0.02710320 - time (sec): 5.20 - samples/sec: 12147.56 - lr: 0.050000
2023-04-05 12:48:09,490 epoch 111 - iter 112/280 - loss 0.02641342 - time (sec): 6.96 - samples/sec: 12136.52 - lr: 0.050000
2023-04-05 12:48:11,197 epoch 111 - iter 140/280 - loss 0.02619775 - time (sec): 8.66 - samples/sec: 12171.53 - lr: 0.050000
2023-04-05 12:48:12,970 epoch 111 - iter 168/280 - loss 0.02619811 - time (sec): 10.44 - samples/sec: 12126.04 - lr: 0.050000
2023-04-05 12:48:14,662 epoch 111 - iter 196/280 - loss 0.02656847 - time (sec): 12.13 - samples/sec: 12177.81 - lr: 0.050000
2023-04-05 12:48:16,369 epoch 111 - iter 224/280 - loss 0.02647775 - time (sec): 13.84 - samples/sec: 12210.76 - lr: 0.050000
2023-04-05 12:48:18,162 epoch 111 - iter 252/280 - loss 0.02662190 - time (sec): 15.63 - samples/sec: 12206.41 - lr: 0.050000
2023-04-05 12:48:19,893 epoch 111 - iter 280/280 - loss 0.02653110 - time (sec): 17.36 - samples/sec: 12193.58 - lr: 0.050000
2023-04-05 12:48:19,894 ----------------------------------------------------------------------------------------------------
2023-04-05 12:48:19,894 EPOCH 111 done: loss 0.0265 - lr 0.050000
2023-04-05 12:48:19,894 Epoch 111: reducing learning rate of group 0 to 2.5000e-02.
2023-04-05 12:48:19,894 BAD EPOCHS (no improvement): 4
2023-04-05 12:48:19,897 ----------------------------------------------------------------------------------------------------
2023-04-05 12:48:21,644 epoch 112 - iter 28/280 - loss 0.02763391 - time (sec): 1.75 - samples/sec: 12181.36 - lr: 0.025000
2023-04-05 12:48:23,411 epoch 112 - iter 56/280 - loss 0.02626578 - time (sec): 3.51 - samples/sec: 12243.82 - lr: 0.025000
2023-04-05 12:48:25,206 epoch 112 - iter 84/280 - loss 0.02642435 - time (sec): 5.31 - samples/sec: 12116.30 - lr: 0.025000
2023-04-05 12:48:26,910 epoch 112 - iter 112/280 - loss 0.02561670 - time (sec): 7.01 - samples/sec: 12167.03 - lr: 0.025000
2023-04-05 12:48:28,738 epoch 112 - iter 140/280 - loss 0.02545743 - time (sec): 8.84 - samples/sec: 12112.49 - lr: 0.025000
2023-04-05 12:48:30,457 epoch 112 - iter 168/280 - loss 0.02532026 - time (sec): 10.56 - samples/sec: 12080.54 - lr: 0.025000
2023-04-05 12:48:32,216 epoch 112 - iter 196/280 - loss 0.02531589 - time (sec): 12.32 - samples/sec: 12074.67 - lr: 0.025000
2023-04-05 12:48:33,958 epoch 112 - iter 224/280 - loss 0.02494083 - time (sec): 14.06 - samples/sec: 12037.47 - lr: 0.025000
2023-04-05 12:48:35,738 epoch 112 - iter 252/280 - loss 0.02491775 - time (sec): 15.84 - samples/sec: 12047.82 - lr: 0.025000
2023-04-05 12:48:37,497 epoch 112 - iter 280/280 - loss 0.02485671 - time (sec): 17.60 - samples/sec: 12027.55 - lr: 0.025000
2023-04-05 12:48:37,498 ----------------------------------------------------------------------------------------------------
2023-04-05 12:48:37,498 EPOCH 112 done: loss 0.0249 - lr 0.025000
2023-04-05 12:48:37,498 BAD EPOCHS (no improvement): 0
2023-04-05 12:48:37,500 ----------------------------------------------------------------------------------------------------
2023-04-05 12:48:39,212 epoch 113 - iter 28/280 - loss 0.02284372 - time (sec): 1.71 - samples/sec: 12192.93 - lr: 0.025000
2023-04-05 12:48:40,975 epoch 113 - iter 56/280 - loss 0.02467876 - time (sec): 3.47 - samples/sec: 12149.34 - lr: 0.025000
2023-04-05 12:48:42,726 epoch 113 - iter 84/280 - loss 0.02356140 - time (sec): 5.23 - samples/sec: 12079.68 - lr: 0.025000
2023-04-05 12:48:44,465 epoch 113 - iter 112/280 - loss 0.02411970 - time (sec): 6.96 - samples/sec: 12084.56 - lr: 0.025000
2023-04-05 12:48:46,227 epoch 113 - iter 140/280 - loss 0.02443710 - time (sec): 8.73 - samples/sec: 12109.35 - lr: 0.025000
2023-04-05 12:48:47,972 epoch 113 - iter 168/280 - loss 0.02469093 - time (sec): 10.47 - samples/sec: 12114.31 - lr: 0.025000
2023-04-05 12:48:49,675 epoch 113 - iter 196/280 - loss 0.02496032 - time (sec): 12.17 - samples/sec: 12164.30 - lr: 0.025000
2023-04-05 12:48:51,455 epoch 113 - iter 224/280 - loss 0.02497202 - time (sec): 13.96 - samples/sec: 12171.71 - lr: 0.025000
2023-04-05 12:48:53,794 epoch 113 - iter 252/280 - loss 0.02475971 - time (sec): 16.29 - samples/sec: 11726.80 - lr: 0.025000
2023-04-05 12:48:55,491 epoch 113 - iter 280/280 - loss 0.02475392 - time (sec): 17.99 - samples/sec: 11766.87 - lr: 0.025000
2023-04-05 12:48:55,491 ----------------------------------------------------------------------------------------------------
2023-04-05 12:48:55,491 EPOCH 113 done: loss 0.0248 - lr 0.025000
2023-04-05 12:48:55,491 BAD EPOCHS (no improvement): 0
2023-04-05 12:48:55,493 ----------------------------------------------------------------------------------------------------
2023-04-05 12:48:57,189 epoch 114 - iter 28/280 - loss 0.02031819 - time (sec): 1.70 - samples/sec: 12260.50 - lr: 0.025000
2023-04-05 12:48:58,954 epoch 114 - iter 56/280 - loss 0.02299570 - time (sec): 3.46 - samples/sec: 12125.09 - lr: 0.025000
2023-04-05 12:49:00,737 epoch 114 - iter 84/280 - loss 0.02383738 - time (sec): 5.24 - samples/sec: 12028.71 - lr: 0.025000
2023-04-05 12:49:02,516 epoch 114 - iter 112/280 - loss 0.02341396 - time (sec): 7.02 - samples/sec: 11959.72 - lr: 0.025000
2023-04-05 12:49:04,332 epoch 114 - iter 140/280 - loss 0.02401462 - time (sec): 8.84 - samples/sec: 11962.16 - lr: 0.025000
2023-04-05 12:49:06,120 epoch 114 - iter 168/280 - loss 0.02428833 - time (sec): 10.63 - samples/sec: 11954.35 - lr: 0.025000
2023-04-05 12:49:07,869 epoch 114 - iter 196/280 - loss 0.02487618 - time (sec): 12.38 - samples/sec: 11996.99 - lr: 0.025000
2023-04-05 12:49:09,675 epoch 114 - iter 224/280 - loss 0.02494921 - time (sec): 14.18 - samples/sec: 11989.80 - lr: 0.025000
2023-04-05 12:49:11,454 epoch 114 - iter 252/280 - loss 0.02486801 - time (sec): 15.96 - samples/sec: 11973.80 - lr: 0.025000
2023-04-05 12:49:13,180 epoch 114 - iter 280/280 - loss 0.02479687 - time (sec): 17.69 - samples/sec: 11969.29 - lr: 0.025000
2023-04-05 12:49:13,180 ----------------------------------------------------------------------------------------------------
2023-04-05 12:49:13,180 EPOCH 114 done: loss 0.0248 - lr 0.025000
2023-04-05 12:49:13,180 BAD EPOCHS (no improvement): 1
2023-04-05 12:49:13,182 ----------------------------------------------------------------------------------------------------
2023-04-05 12:49:14,939 epoch 115 - iter 28/280 - loss 0.02512967 - time (sec): 1.76 - samples/sec: 12231.16 - lr: 0.025000
2023-04-05 12:49:16,697 epoch 115 - iter 56/280 - loss 0.02459681 - time (sec): 3.51 - samples/sec: 12312.26 - lr: 0.025000
2023-04-05 12:49:18,447 epoch 115 - iter 84/280 - loss 0.02398539 - time (sec): 5.26 - samples/sec: 12129.21 - lr: 0.025000
2023-04-05 12:49:20,205 epoch 115 - iter 112/280 - loss 0.02395882 - time (sec): 7.02 - samples/sec: 12163.62 - lr: 0.025000
2023-04-05 12:49:21,884 epoch 115 - iter 140/280 - loss 0.02371610 - time (sec): 8.70 - samples/sec: 12155.71 - lr: 0.025000
2023-04-05 12:49:23,640 epoch 115 - iter 168/280 - loss 0.02332990 - time (sec): 10.46 - samples/sec: 12156.94 - lr: 0.025000
2023-04-05 12:49:25,388 epoch 115 - iter 196/280 - loss 0.02295686 - time (sec): 12.21 - samples/sec: 12138.61 - lr: 0.025000
2023-04-05 12:49:27,173 epoch 115 - iter 224/280 - loss 0.02320880 - time (sec): 13.99 - samples/sec: 12130.71 - lr: 0.025000
2023-04-05 12:49:28,908 epoch 115 - iter 252/280 - loss 0.02350077 - time (sec): 15.73 - samples/sec: 12135.66 - lr: 0.025000
2023-04-05 12:49:30,642 epoch 115 - iter 280/280 - loss 0.02362320 - time (sec): 17.46 - samples/sec: 12124.43 - lr: 0.025000
2023-04-05 12:49:30,642 ----------------------------------------------------------------------------------------------------
2023-04-05 12:49:30,643 EPOCH 115 done: loss 0.0236 - lr 0.025000
2023-04-05 12:49:30,643 BAD EPOCHS (no improvement): 0
2023-04-05 12:49:30,645 ----------------------------------------------------------------------------------------------------
2023-04-05 12:49:32,410 epoch 116 - iter 28/280 - loss 0.02186692 - time (sec): 1.76 - samples/sec: 11947.73 - lr: 0.025000
2023-04-05 12:49:34,136 epoch 116 - iter 56/280 - loss 0.02203485 - time (sec): 3.49 - samples/sec: 12094.56 - lr: 0.025000
2023-04-05 12:49:35,873 epoch 116 - iter 84/280 - loss 0.02371780 - time (sec): 5.23 - samples/sec: 12070.16 - lr: 0.025000
2023-04-05 12:49:37,667 epoch 116 - iter 112/280 - loss 0.02314994 - time (sec): 7.02 - samples/sec: 12082.48 - lr: 0.025000
2023-04-05 12:49:39,439 epoch 116 - iter 140/280 - loss 0.02321266 - time (sec): 8.79 - samples/sec: 12026.77 - lr: 0.025000
2023-04-05 12:49:41,269 epoch 116 - iter 168/280 - loss 0.02356908 - time (sec): 10.62 - samples/sec: 11995.12 - lr: 0.025000
2023-04-05 12:49:43,013 epoch 116 - iter 196/280 - loss 0.02320202 - time (sec): 12.37 - samples/sec: 12018.42 - lr: 0.025000
2023-04-05 12:49:44,781 epoch 116 - iter 224/280 - loss 0.02330158 - time (sec): 14.14 - samples/sec: 12008.60 - lr: 0.025000
2023-04-05 12:49:46,545 epoch 116 - iter 252/280 - loss 0.02329779 - time (sec): 15.90 - samples/sec: 12001.79 - lr: 0.025000
2023-04-05 12:49:48,284 epoch 116 - iter 280/280 - loss 0.02345011 - time (sec): 17.64 - samples/sec: 12001.47 - lr: 0.025000
2023-04-05 12:49:48,284 ----------------------------------------------------------------------------------------------------
2023-04-05 12:49:48,284 EPOCH 116 done: loss 0.0235 - lr 0.025000
2023-04-05 12:49:48,284 BAD EPOCHS (no improvement): 0
2023-04-05 12:49:48,287 ----------------------------------------------------------------------------------------------------
2023-04-05 12:49:50,004 epoch 117 - iter 28/280 - loss 0.02093866 - time (sec): 1.72 - samples/sec: 12345.63 - lr: 0.025000
2023-04-05 12:49:51,750 epoch 117 - iter 56/280 - loss 0.02256006 - time (sec): 3.46 - samples/sec: 12106.86 - lr: 0.025000
2023-04-05 12:49:53,504 epoch 117 - iter 84/280 - loss 0.02285488 - time (sec): 5.22 - samples/sec: 12108.55 - lr: 0.025000
2023-04-05 12:49:55,221 epoch 117 - iter 112/280 - loss 0.02306858 - time (sec): 6.93 - samples/sec: 12125.63 - lr: 0.025000
2023-04-05 12:49:56,992 epoch 117 - iter 140/280 - loss 0.02307317 - time (sec): 8.71 - samples/sec: 12138.18 - lr: 0.025000
2023-04-05 12:49:58,778 epoch 117 - iter 168/280 - loss 0.02335002 - time (sec): 10.49 - samples/sec: 12126.59 - lr: 0.025000
2023-04-05 12:50:00,496 epoch 117 - iter 196/280 - loss 0.02333422 - time (sec): 12.21 - samples/sec: 12152.39 - lr: 0.025000
2023-04-05 12:50:02,254 epoch 117 - iter 224/280 - loss 0.02339330 - time (sec): 13.97 - samples/sec: 12150.17 - lr: 0.025000
2023-04-05 12:50:03,981 epoch 117 - iter 252/280 - loss 0.02330665 - time (sec): 15.69 - samples/sec: 12176.40 - lr: 0.025000
2023-04-05 12:50:05,689 epoch 117 - iter 280/280 - loss 0.02338109 - time (sec): 17.40 - samples/sec: 12164.65 - lr: 0.025000
2023-04-05 12:50:05,689 ----------------------------------------------------------------------------------------------------
2023-04-05 12:50:05,689 EPOCH 117 done: loss 0.0234 - lr 0.025000
2023-04-05 12:50:05,689 BAD EPOCHS (no improvement): 0
2023-04-05 12:50:05,692 ----------------------------------------------------------------------------------------------------
2023-04-05 12:50:07,430 epoch 118 - iter 28/280 - loss 0.02493835 - time (sec): 1.74 - samples/sec: 12170.21 - lr: 0.025000
2023-04-05 12:50:09,124 epoch 118 - iter 56/280 - loss 0.02514170 - time (sec): 3.43 - samples/sec: 12224.98 - lr: 0.025000
2023-04-05 12:50:10,879 epoch 118 - iter 84/280 - loss 0.02433721 - time (sec): 5.19 - samples/sec: 12113.51 - lr: 0.025000
2023-04-05 12:50:12,641 epoch 118 - iter 112/280 - loss 0.02414500 - time (sec): 6.95 - samples/sec: 12124.97 - lr: 0.025000
2023-04-05 12:50:14,432 epoch 118 - iter 140/280 - loss 0.02390915 - time (sec): 8.74 - samples/sec: 12041.09 - lr: 0.025000
2023-04-05 12:50:16,230 epoch 118 - iter 168/280 - loss 0.02353790 - time (sec): 10.54 - samples/sec: 12025.12 - lr: 0.025000
2023-04-05 12:50:18,040 epoch 118 - iter 196/280 - loss 0.02371076 - time (sec): 12.35 - samples/sec: 11976.62 - lr: 0.025000
2023-04-05 12:50:19,841 epoch 118 - iter 224/280 - loss 0.02336881 - time (sec): 14.15 - samples/sec: 11964.27 - lr: 0.025000
2023-04-05 12:50:21,577 epoch 118 - iter 252/280 - loss 0.02355002 - time (sec): 15.89 - samples/sec: 12003.66 - lr: 0.025000
2023-04-05 12:50:23,339 epoch 118 - iter 280/280 - loss 0.02369310 - time (sec): 17.65 - samples/sec: 11995.95 - lr: 0.025000
2023-04-05 12:50:23,339 ----------------------------------------------------------------------------------------------------
2023-04-05 12:50:23,339 EPOCH 118 done: loss 0.0237 - lr 0.025000
2023-04-05 12:50:23,339 BAD EPOCHS (no improvement): 1
2023-04-05 12:50:23,341 ----------------------------------------------------------------------------------------------------
2023-04-05 12:50:25,049 epoch 119 - iter 28/280 - loss 0.02292364 - time (sec): 1.71 - samples/sec: 12226.87 - lr: 0.025000
2023-04-05 12:50:26,871 epoch 119 - iter 56/280 - loss 0.02263216 - time (sec): 3.53 - samples/sec: 12003.42 - lr: 0.025000
2023-04-05 12:50:28,588 epoch 119 - iter 84/280 - loss 0.02265129 - time (sec): 5.25 - samples/sec: 12129.85 - lr: 0.025000
2023-04-05 12:50:30,317 epoch 119 - iter 112/280 - loss 0.02241026 - time (sec): 6.98 - samples/sec: 12129.28 - lr: 0.025000
2023-04-05 12:50:32,090 epoch 119 - iter 140/280 - loss 0.02281683 - time (sec): 8.75 - samples/sec: 12127.22 - lr: 0.025000
2023-04-05 12:50:33,899 epoch 119 - iter 168/280 - loss 0.02230475 - time (sec): 10.56 - samples/sec: 12079.86 - lr: 0.025000
2023-04-05 12:50:35,705 epoch 119 - iter 196/280 - loss 0.02265395 - time (sec): 12.36 - samples/sec: 12065.75 - lr: 0.025000
2023-04-05 12:50:37,426 epoch 119 - iter 224/280 - loss 0.02277039 - time (sec): 14.08 - samples/sec: 12082.18 - lr: 0.025000
2023-04-05 12:50:39,174 epoch 119 - iter 252/280 - loss 0.02285472 - time (sec): 15.83 - samples/sec: 12066.86 - lr: 0.025000
2023-04-05 12:50:40,864 epoch 119 - iter 280/280 - loss 0.02277376 - time (sec): 17.52 - samples/sec: 12080.69 - lr: 0.025000
2023-04-05 12:50:40,865 ----------------------------------------------------------------------------------------------------
2023-04-05 12:50:40,865 EPOCH 119 done: loss 0.0228 - lr 0.025000
2023-04-05 12:50:40,865 BAD EPOCHS (no improvement): 0
2023-04-05 12:50:40,868 ----------------------------------------------------------------------------------------------------
2023-04-05 12:50:42,571 epoch 120 - iter 28/280 - loss 0.02263136 - time (sec): 1.70 - samples/sec: 12522.99 - lr: 0.025000
2023-04-05 12:50:44,351 epoch 120 - iter 56/280 - loss 0.02283141 - time (sec): 3.48 - samples/sec: 12277.78 - lr: 0.025000
2023-04-05 12:50:46,108 epoch 120 - iter 84/280 - loss 0.02280616 - time (sec): 5.24 - samples/sec: 12243.97 - lr: 0.025000
2023-04-05 12:50:47,843 epoch 120 - iter 112/280 - loss 0.02230800 - time (sec): 6.98 - samples/sec: 12196.19 - lr: 0.025000
2023-04-05 12:50:49,593 epoch 120 - iter 140/280 - loss 0.02189623 - time (sec): 8.73 - samples/sec: 12169.75 - lr: 0.025000
2023-04-05 12:50:51,335 epoch 120 - iter 168/280 - loss 0.02206274 - time (sec): 10.47 - samples/sec: 12138.20 - lr: 0.025000
2023-04-05 12:50:53,113 epoch 120 - iter 196/280 - loss 0.02220109 - time (sec): 12.24 - samples/sec: 12116.37 - lr: 0.025000
2023-04-05 12:50:54,866 epoch 120 - iter 224/280 - loss 0.02223630 - time (sec): 14.00 - samples/sec: 12134.14 - lr: 0.025000
2023-04-05 12:50:56,606 epoch 120 - iter 252/280 - loss 0.02236052 - time (sec): 15.74 - samples/sec: 12136.24 - lr: 0.025000
2023-04-05 12:50:58,327 epoch 120 - iter 280/280 - loss 0.02236511 - time (sec): 17.46 - samples/sec: 12124.77 - lr: 0.025000
2023-04-05 12:50:58,327 ----------------------------------------------------------------------------------------------------
2023-04-05 12:50:58,328 EPOCH 120 done: loss 0.0224 - lr 0.025000
2023-04-05 12:50:58,328 BAD EPOCHS (no improvement): 0
2023-04-05 12:50:58,331 ----------------------------------------------------------------------------------------------------
2023-04-05 12:51:00,116 epoch 121 - iter 28/280 - loss 0.02226263 - time (sec): 1.78 - samples/sec: 12324.66 - lr: 0.025000
2023-04-05 12:51:01,861 epoch 121 - iter 56/280 - loss 0.02197888 - time (sec): 3.53 - samples/sec: 12224.30 - lr: 0.025000
2023-04-05 12:51:03,551 epoch 121 - iter 84/280 - loss 0.02259344 - time (sec): 5.22 - samples/sec: 12286.45 - lr: 0.025000
2023-04-05 12:51:06,650 epoch 121 - iter 112/280 - loss 0.02274547 - time (sec): 8.32 - samples/sec: 10236.30 - lr: 0.025000
2023-04-05 12:51:08,356 epoch 121 - iter 140/280 - loss 0.02266278 - time (sec): 10.03 - samples/sec: 10591.00 - lr: 0.025000
2023-04-05 12:51:10,118 epoch 121 - iter 168/280 - loss 0.02281931 - time (sec): 11.79 - samples/sec: 10825.08 - lr: 0.025000
2023-04-05 12:51:11,891 epoch 121 - iter 196/280 - loss 0.02309346 - time (sec): 13.56 - samples/sec: 10984.57 - lr: 0.025000
2023-04-05 12:51:13,598 epoch 121 - iter 224/280 - loss 0.02320042 - time (sec): 15.27 - samples/sec: 11144.69 - lr: 0.025000
2023-04-05 12:51:15,272 epoch 121 - iter 252/280 - loss 0.02308737 - time (sec): 16.94 - samples/sec: 11277.18 - lr: 0.025000
2023-04-05 12:51:16,942 epoch 121 - iter 280/280 - loss 0.02294453 - time (sec): 18.61 - samples/sec: 11374.55 - lr: 0.025000
2023-04-05 12:51:16,942 ----------------------------------------------------------------------------------------------------
2023-04-05 12:51:16,942 EPOCH 121 done: loss 0.0229 - lr 0.025000
2023-04-05 12:51:16,942 BAD EPOCHS (no improvement): 1
2023-04-05 12:51:16,945 ----------------------------------------------------------------------------------------------------
2023-04-05 12:51:18,674 epoch 122 - iter 28/280 - loss 0.02155916 - time (sec): 1.73 - samples/sec: 12314.61 - lr: 0.025000
2023-04-05 12:51:20,349 epoch 122 - iter 56/280 - loss 0.02125861 - time (sec): 3.40 - samples/sec: 12398.54 - lr: 0.025000
2023-04-05 12:51:22,062 epoch 122 - iter 84/280 - loss 0.02108792 - time (sec): 5.12 - samples/sec: 12362.57 - lr: 0.025000
2023-04-05 12:51:23,797 epoch 122 - iter 112/280 - loss 0.02166492 - time (sec): 6.85 - samples/sec: 12269.04 - lr: 0.025000
2023-04-05 12:51:25,555 epoch 122 - iter 140/280 - loss 0.02226734 - time (sec): 8.61 - samples/sec: 12195.59 - lr: 0.025000
2023-04-05 12:51:27,291 epoch 122 - iter 168/280 - loss 0.02241489 - time (sec): 10.35 - samples/sec: 12212.56 - lr: 0.025000
2023-04-05 12:51:29,144 epoch 122 - iter 196/280 - loss 0.02248942 - time (sec): 12.20 - samples/sec: 12143.25 - lr: 0.025000
2023-04-05 12:51:30,857 epoch 122 - iter 224/280 - loss 0.02278271 - time (sec): 13.91 - samples/sec: 12169.02 - lr: 0.025000
2023-04-05 12:51:32,659 epoch 122 - iter 252/280 - loss 0.02264473 - time (sec): 15.71 - samples/sec: 12134.83 - lr: 0.025000
2023-04-05 12:51:34,382 epoch 122 - iter 280/280 - loss 0.02270389 - time (sec): 17.44 - samples/sec: 12139.98 - lr: 0.025000
2023-04-05 12:51:34,382 ----------------------------------------------------------------------------------------------------
2023-04-05 12:51:34,382 EPOCH 122 done: loss 0.0227 - lr 0.025000
2023-04-05 12:51:34,382 BAD EPOCHS (no improvement): 2
2023-04-05 12:51:34,385 ----------------------------------------------------------------------------------------------------
2023-04-05 12:51:36,127 epoch 123 - iter 28/280 - loss 0.02343323 - time (sec): 1.74 - samples/sec: 12193.98 - lr: 0.025000
2023-04-05 12:51:37,895 epoch 123 - iter 56/280 - loss 0.02215260 - time (sec): 3.51 - samples/sec: 12156.72 - lr: 0.025000
2023-04-05 12:51:39,603 epoch 123 - iter 84/280 - loss 0.02275332 - time (sec): 5.22 - samples/sec: 12241.52 - lr: 0.025000
2023-04-05 12:51:41,305 epoch 123 - iter 112/280 - loss 0.02233481 - time (sec): 6.92 - samples/sec: 12212.52 - lr: 0.025000
2023-04-05 12:51:43,042 epoch 123 - iter 140/280 - loss 0.02283049 - time (sec): 8.66 - samples/sec: 12223.97 - lr: 0.025000
2023-04-05 12:51:44,824 epoch 123 - iter 168/280 - loss 0.02304702 - time (sec): 10.44 - samples/sec: 12201.98 - lr: 0.025000
2023-04-05 12:51:46,587 epoch 123 - iter 196/280 - loss 0.02295077 - time (sec): 12.20 - samples/sec: 12197.90 - lr: 0.025000
2023-04-05 12:51:48,322 epoch 123 - iter 224/280 - loss 0.02302708 - time (sec): 13.94 - samples/sec: 12202.76 - lr: 0.025000
2023-04-05 12:51:50,039 epoch 123 - iter 252/280 - loss 0.02292086 - time (sec): 15.65 - samples/sec: 12237.28 - lr: 0.025000
2023-04-05 12:51:51,703 epoch 123 - iter 280/280 - loss 0.02282866 - time (sec): 17.32 - samples/sec: 12223.73 - lr: 0.025000
2023-04-05 12:51:51,703 ----------------------------------------------------------------------------------------------------
2023-04-05 12:51:51,703 EPOCH 123 done: loss 0.0228 - lr 0.025000
2023-04-05 12:51:51,703 BAD EPOCHS (no improvement): 3
2023-04-05 12:51:51,707 ----------------------------------------------------------------------------------------------------
2023-04-05 12:51:53,419 epoch 124 - iter 28/280 - loss 0.02131994 - time (sec): 1.71 - samples/sec: 12542.17 - lr: 0.025000
2023-04-05 12:51:55,159 epoch 124 - iter 56/280 - loss 0.02173553 - time (sec): 3.45 - samples/sec: 12492.16 - lr: 0.025000
2023-04-05 12:51:56,935 epoch 124 - iter 84/280 - loss 0.02284578 - time (sec): 5.23 - samples/sec: 12345.29 - lr: 0.025000
2023-04-05 12:51:58,650 epoch 124 - iter 112/280 - loss 0.02314586 - time (sec): 6.94 - samples/sec: 12339.68 - lr: 0.025000
2023-04-05 12:52:00,348 epoch 124 - iter 140/280 - loss 0.02319968 - time (sec): 8.64 - samples/sec: 12263.81 - lr: 0.025000
2023-04-05 12:52:02,120 epoch 124 - iter 168/280 - loss 0.02341858 - time (sec): 10.41 - samples/sec: 12218.76 - lr: 0.025000
2023-04-05 12:52:03,905 epoch 124 - iter 196/280 - loss 0.02369175 - time (sec): 12.20 - samples/sec: 12173.69 - lr: 0.025000
2023-04-05 12:52:05,672 epoch 124 - iter 224/280 - loss 0.02345714 - time (sec): 13.96 - samples/sec: 12164.15 - lr: 0.025000
2023-04-05 12:52:07,481 epoch 124 - iter 252/280 - loss 0.02310406 - time (sec): 15.77 - samples/sec: 12145.43 - lr: 0.025000
2023-04-05 12:52:09,167 epoch 124 - iter 280/280 - loss 0.02315200 - time (sec): 17.46 - samples/sec: 12124.64 - lr: 0.025000
2023-04-05 12:52:09,167 ----------------------------------------------------------------------------------------------------
2023-04-05 12:52:09,167 EPOCH 124 done: loss 0.0232 - lr 0.025000
2023-04-05 12:52:09,167 Epoch 124: reducing learning rate of group 0 to 1.2500e-02.
2023-04-05 12:52:09,167 BAD EPOCHS (no improvement): 4
2023-04-05 12:52:09,170 ----------------------------------------------------------------------------------------------------
2023-04-05 12:52:10,951 epoch 125 - iter 28/280 - loss 0.02094664 - time (sec): 1.78 - samples/sec: 11887.69 - lr: 0.012500
2023-04-05 12:52:12,717 epoch 125 - iter 56/280 - loss 0.02085403 - time (sec): 3.55 - samples/sec: 12070.37 - lr: 0.012500
2023-04-05 12:52:14,475 epoch 125 - iter 84/280 - loss 0.02099371 - time (sec): 5.31 - samples/sec: 12059.83 - lr: 0.012500
2023-04-05 12:52:16,202 epoch 125 - iter 112/280 - loss 0.02111895 - time (sec): 7.03 - samples/sec: 12129.50 - lr: 0.012500
2023-04-05 12:52:17,905 epoch 125 - iter 140/280 - loss 0.02148174 - time (sec): 8.74 - samples/sec: 12202.74 - lr: 0.012500
2023-04-05 12:52:19,644 epoch 125 - iter 168/280 - loss 0.02167067 - time (sec): 10.47 - samples/sec: 12202.77 - lr: 0.012500
2023-04-05 12:52:21,315 epoch 125 - iter 196/280 - loss 0.02184838 - time (sec): 12.14 - samples/sec: 12255.23 - lr: 0.012500
2023-04-05 12:52:23,055 epoch 125 - iter 224/280 - loss 0.02190593 - time (sec): 13.88 - samples/sec: 12239.10 - lr: 0.012500
2023-04-05 12:52:24,814 epoch 125 - iter 252/280 - loss 0.02191224 - time (sec): 15.64 - samples/sec: 12230.23 - lr: 0.012500
2023-04-05 12:52:26,481 epoch 125 - iter 280/280 - loss 0.02209492 - time (sec): 17.31 - samples/sec: 12228.62 - lr: 0.012500
2023-04-05 12:52:26,481 ----------------------------------------------------------------------------------------------------
2023-04-05 12:52:26,481 EPOCH 125 done: loss 0.0221 - lr 0.012500
2023-04-05 12:52:26,481 BAD EPOCHS (no improvement): 0
2023-04-05 12:52:26,483 ----------------------------------------------------------------------------------------------------
2023-04-05 12:52:28,178 epoch 126 - iter 28/280 - loss 0.02066993 - time (sec): 1.69 - samples/sec: 12289.63 - lr: 0.012500
2023-04-05 12:52:29,871 epoch 126 - iter 56/280 - loss 0.02290118 - time (sec): 3.39 - samples/sec: 12511.24 - lr: 0.012500
2023-04-05 12:52:31,566 epoch 126 - iter 84/280 - loss 0.02428276 - time (sec): 5.08 - samples/sec: 12502.27 - lr: 0.012500
2023-04-05 12:52:33,279 epoch 126 - iter 112/280 - loss 0.02380339 - time (sec): 6.80 - samples/sec: 12421.38 - lr: 0.012500
2023-04-05 12:52:35,016 epoch 126 - iter 140/280 - loss 0.02349302 - time (sec): 8.53 - samples/sec: 12423.98 - lr: 0.012500
2023-04-05 12:52:36,776 epoch 126 - iter 168/280 - loss 0.02308799 - time (sec): 10.29 - samples/sec: 12364.91 - lr: 0.012500
2023-04-05 12:52:38,509 epoch 126 - iter 196/280 - loss 0.02262005 - time (sec): 12.03 - samples/sec: 12352.21 - lr: 0.012500
2023-04-05 12:52:40,298 epoch 126 - iter 224/280 - loss 0.02227867 - time (sec): 13.81 - samples/sec: 12268.13 - lr: 0.012500
2023-04-05 12:52:42,125 epoch 126 - iter 252/280 - loss 0.02228173 - time (sec): 15.64 - samples/sec: 12226.59 - lr: 0.012500
2023-04-05 12:52:43,868 epoch 126 - iter 280/280 - loss 0.02262889 - time (sec): 17.38 - samples/sec: 12177.02 - lr: 0.012500
2023-04-05 12:52:43,868 ----------------------------------------------------------------------------------------------------
2023-04-05 12:52:43,868 EPOCH 126 done: loss 0.0226 - lr 0.012500
2023-04-05 12:52:43,868 BAD EPOCHS (no improvement): 1
2023-04-05 12:52:43,871 ----------------------------------------------------------------------------------------------------
2023-04-05 12:52:45,664 epoch 127 - iter 28/280 - loss 0.02241000 - time (sec): 1.79 - samples/sec: 12122.42 - lr: 0.012500
2023-04-05 12:52:47,453 epoch 127 - iter 56/280 - loss 0.02194938 - time (sec): 3.58 - samples/sec: 12162.76 - lr: 0.012500
2023-04-05 12:52:49,230 epoch 127 - iter 84/280 - loss 0.02143084 - time (sec): 5.36 - samples/sec: 12031.06 - lr: 0.012500
2023-04-05 12:52:50,964 epoch 127 - iter 112/280 - loss 0.02122071 - time (sec): 7.09 - samples/sec: 12125.52 - lr: 0.012500
2023-04-05 12:52:52,621 epoch 127 - iter 140/280 - loss 0.02091672 - time (sec): 8.75 - samples/sec: 12179.94 - lr: 0.012500
2023-04-05 12:52:54,353 epoch 127 - iter 168/280 - loss 0.02086860 - time (sec): 10.48 - samples/sec: 12179.88 - lr: 0.012500
2023-04-05 12:52:56,122 epoch 127 - iter 196/280 - loss 0.02087181 - time (sec): 12.25 - samples/sec: 12168.46 - lr: 0.012500
2023-04-05 12:52:57,847 epoch 127 - iter 224/280 - loss 0.02077457 - time (sec): 13.98 - samples/sec: 12194.13 - lr: 0.012500
2023-04-05 12:52:59,553 epoch 127 - iter 252/280 - loss 0.02062500 - time (sec): 15.68 - samples/sec: 12198.81 - lr: 0.012500
2023-04-05 12:53:01,240 epoch 127 - iter 280/280 - loss 0.02072553 - time (sec): 17.37 - samples/sec: 12188.04 - lr: 0.012500
2023-04-05 12:53:01,240 ----------------------------------------------------------------------------------------------------
2023-04-05 12:53:01,240 EPOCH 127 done: loss 0.0207 - lr 0.012500
2023-04-05 12:53:01,240 BAD EPOCHS (no improvement): 0
2023-04-05 12:53:01,243 ----------------------------------------------------------------------------------------------------
2023-04-05 12:53:02,932 epoch 128 - iter 28/280 - loss 0.02356315 - time (sec): 1.69 - samples/sec: 12172.38 - lr: 0.012500
2023-04-05 12:53:04,703 epoch 128 - iter 56/280 - loss 0.02223126 - time (sec): 3.46 - samples/sec: 12179.69 - lr: 0.012500
2023-04-05 12:53:06,393 epoch 128 - iter 84/280 - loss 0.02256176 - time (sec): 5.15 - samples/sec: 12283.65 - lr: 0.012500
2023-04-05 12:53:08,114 epoch 128 - iter 112/280 - loss 0.02313093 - time (sec): 6.87 - samples/sec: 12294.09 - lr: 0.012500
2023-04-05 12:53:09,811 epoch 128 - iter 140/280 - loss 0.02237568 - time (sec): 8.57 - samples/sec: 12287.44 - lr: 0.012500
2023-04-05 12:53:11,630 epoch 128 - iter 168/280 - loss 0.02175515 - time (sec): 10.39 - samples/sec: 12222.65 - lr: 0.012500
2023-04-05 12:53:13,410 epoch 128 - iter 196/280 - loss 0.02179870 - time (sec): 12.17 - samples/sec: 12158.50 - lr: 0.012500
2023-04-05 12:53:15,158 epoch 128 - iter 224/280 - loss 0.02191817 - time (sec): 13.92 - samples/sec: 12157.84 - lr: 0.012500
2023-04-05 12:53:16,917 epoch 128 - iter 252/280 - loss 0.02184547 - time (sec): 15.67 - samples/sec: 12150.84 - lr: 0.012500
2023-04-05 12:53:18,663 epoch 128 - iter 280/280 - loss 0.02174417 - time (sec): 17.42 - samples/sec: 12152.04 - lr: 0.012500
2023-04-05 12:53:18,663 ----------------------------------------------------------------------------------------------------
2023-04-05 12:53:18,663 EPOCH 128 done: loss 0.0217 - lr 0.012500
2023-04-05 12:53:18,663 BAD EPOCHS (no improvement): 1
2023-04-05 12:53:18,666 ----------------------------------------------------------------------------------------------------
2023-04-05 12:53:20,422 epoch 129 - iter 28/280 - loss 0.02113052 - time (sec): 1.76 - samples/sec: 12065.40 - lr: 0.012500
2023-04-05 12:53:22,167 epoch 129 - iter 56/280 - loss 0.02158272 - time (sec): 3.50 - samples/sec: 12010.64 - lr: 0.012500
2023-04-05 12:53:23,908 epoch 129 - iter 84/280 - loss 0.02184629 - time (sec): 5.24 - samples/sec: 12055.22 - lr: 0.012500
2023-04-05 12:53:25,596 epoch 129 - iter 112/280 - loss 0.02171708 - time (sec): 6.93 - samples/sec: 12081.83 - lr: 0.012500
2023-04-05 12:53:27,347 epoch 129 - iter 140/280 - loss 0.02140540 - time (sec): 8.68 - samples/sec: 12108.69 - lr: 0.012500
2023-04-05 12:53:29,157 epoch 129 - iter 168/280 - loss 0.02164507 - time (sec): 10.49 - samples/sec: 12074.68 - lr: 0.012500
2023-04-05 12:53:30,893 epoch 129 - iter 196/280 - loss 0.02187611 - time (sec): 12.23 - samples/sec: 12112.78 - lr: 0.012500
2023-04-05 12:53:32,707 epoch 129 - iter 224/280 - loss 0.02172247 - time (sec): 14.04 - samples/sec: 12077.54 - lr: 0.012500
2023-04-05 12:53:34,497 epoch 129 - iter 252/280 - loss 0.02170004 - time (sec): 15.83 - samples/sec: 12086.57 - lr: 0.012500
2023-04-05 12:53:36,212 epoch 129 - iter 280/280 - loss 0.02156788 - time (sec): 17.55 - samples/sec: 12064.83 - lr: 0.012500
2023-04-05 12:53:36,213 ----------------------------------------------------------------------------------------------------
2023-04-05 12:53:36,213 EPOCH 129 done: loss 0.0216 - lr 0.012500
2023-04-05 12:53:36,213 BAD EPOCHS (no improvement): 2
2023-04-05 12:53:36,215 ----------------------------------------------------------------------------------------------------
2023-04-05 12:53:37,991 epoch 130 - iter 28/280 - loss 0.02179479 - time (sec): 1.78 - samples/sec: 12224.37 - lr: 0.012500
2023-04-05 12:53:39,697 epoch 130 - iter 56/280 - loss 0.02176897 - time (sec): 3.48 - samples/sec: 12329.00 - lr: 0.012500
2023-04-05 12:53:41,434 epoch 130 - iter 84/280 - loss 0.02154311 - time (sec): 5.22 - samples/sec: 12254.79 - lr: 0.012500
2023-04-05 12:53:43,238 epoch 130 - iter 112/280 - loss 0.02209749 - time (sec): 7.02 - samples/sec: 12127.15 - lr: 0.012500
2023-04-05 12:53:44,992 epoch 130 - iter 140/280 - loss 0.02171066 - time (sec): 8.78 - samples/sec: 12071.16 - lr: 0.012500
2023-04-05 12:53:46,844 epoch 130 - iter 168/280 - loss 0.02167676 - time (sec): 10.63 - samples/sec: 12024.94 - lr: 0.012500
2023-04-05 12:53:48,580 epoch 130 - iter 196/280 - loss 0.02136855 - time (sec): 12.37 - samples/sec: 12026.34 - lr: 0.012500
2023-04-05 12:53:50,314 epoch 130 - iter 224/280 - loss 0.02135157 - time (sec): 14.10 - samples/sec: 12034.55 - lr: 0.012500
2023-04-05 12:53:52,176 epoch 130 - iter 252/280 - loss 0.02145893 - time (sec): 15.96 - samples/sec: 11970.03 - lr: 0.012500
2023-04-05 12:53:53,945 epoch 130 - iter 280/280 - loss 0.02191467 - time (sec): 17.73 - samples/sec: 11940.15 - lr: 0.012500
2023-04-05 12:53:53,945 ----------------------------------------------------------------------------------------------------
2023-04-05 12:53:53,945 EPOCH 130 done: loss 0.0219 - lr 0.012500
2023-04-05 12:53:53,945 BAD EPOCHS (no improvement): 3
2023-04-05 12:53:53,947 ----------------------------------------------------------------------------------------------------
2023-04-05 12:53:55,722 epoch 131 - iter 28/280 - loss 0.02164820 - time (sec): 1.78 - samples/sec: 12212.45 - lr: 0.012500
2023-04-05 12:53:57,488 epoch 131 - iter 56/280 - loss 0.02175859 - time (sec): 3.54 - samples/sec: 12127.87 - lr: 0.012500
2023-04-05 12:53:59,305 epoch 131 - iter 84/280 - loss 0.02192819 - time (sec): 5.36 - samples/sec: 12000.88 - lr: 0.012500
2023-04-05 12:54:01,025 epoch 131 - iter 112/280 - loss 0.02148508 - time (sec): 7.08 - samples/sec: 12096.20 - lr: 0.012500
2023-04-05 12:54:02,746 epoch 131 - iter 140/280 - loss 0.02206460 - time (sec): 8.80 - samples/sec: 12145.16 - lr: 0.012500
2023-04-05 12:54:04,449 epoch 131 - iter 168/280 - loss 0.02189572 - time (sec): 10.50 - samples/sec: 12196.39 - lr: 0.012500
2023-04-05 12:54:06,200 epoch 131 - iter 196/280 - loss 0.02207099 - time (sec): 12.25 - samples/sec: 12196.94 - lr: 0.012500
2023-04-05 12:54:07,910 epoch 131 - iter 224/280 - loss 0.02201060 - time (sec): 13.96 - samples/sec: 12169.28 - lr: 0.012500
2023-04-05 12:54:09,639 epoch 131 - iter 252/280 - loss 0.02202885 - time (sec): 15.69 - samples/sec: 12167.34 - lr: 0.012500
2023-04-05 12:54:11,342 epoch 131 - iter 280/280 - loss 0.02194083 - time (sec): 17.40 - samples/sec: 12169.56 - lr: 0.012500
2023-04-05 12:54:11,342 ----------------------------------------------------------------------------------------------------
2023-04-05 12:54:11,342 EPOCH 131 done: loss 0.0219 - lr 0.012500
2023-04-05 12:54:11,343 Epoch 131: reducing learning rate of group 0 to 6.2500e-03.
2023-04-05 12:54:11,343 BAD EPOCHS (no improvement): 4
2023-04-05 12:54:11,345 ----------------------------------------------------------------------------------------------------
2023-04-05 12:54:13,036 epoch 132 - iter 28/280 - loss 0.02051669 - time (sec): 1.69 - samples/sec: 12229.13 - lr: 0.006250
2023-04-05 12:54:14,755 epoch 132 - iter 56/280 - loss 0.02019827 - time (sec): 3.41 - samples/sec: 12300.67 - lr: 0.006250
2023-04-05 12:54:16,476 epoch 132 - iter 84/280 - loss 0.02056096 - time (sec): 5.13 - samples/sec: 12269.88 - lr: 0.006250
2023-04-05 12:54:18,191 epoch 132 - iter 112/280 - loss 0.02084562 - time (sec): 6.85 - samples/sec: 12249.28 - lr: 0.006250
2023-04-05 12:54:19,981 epoch 132 - iter 140/280 - loss 0.02107677 - time (sec): 8.64 - samples/sec: 12207.66 - lr: 0.006250
2023-04-05 12:54:21,718 epoch 132 - iter 168/280 - loss 0.02095783 - time (sec): 10.37 - samples/sec: 12194.25 - lr: 0.006250
2023-04-05 12:54:23,476 epoch 132 - iter 196/280 - loss 0.02104203 - time (sec): 12.13 - samples/sec: 12191.28 - lr: 0.006250
2023-04-05 12:54:25,270 epoch 132 - iter 224/280 - loss 0.02103733 - time (sec): 13.92 - samples/sec: 12159.75 - lr: 0.006250
2023-04-05 12:54:27,052 epoch 132 - iter 252/280 - loss 0.02126215 - time (sec): 15.71 - samples/sec: 12152.41 - lr: 0.006250
2023-04-05 12:54:28,780 epoch 132 - iter 280/280 - loss 0.02105806 - time (sec): 17.43 - samples/sec: 12142.09 - lr: 0.006250
2023-04-05 12:54:28,780 ----------------------------------------------------------------------------------------------------
2023-04-05 12:54:28,780 EPOCH 132 done: loss 0.0211 - lr 0.006250
2023-04-05 12:54:28,780 BAD EPOCHS (no improvement): 1
2023-04-05 12:54:28,783 ----------------------------------------------------------------------------------------------------
2023-04-05 12:54:30,519 epoch 133 - iter 28/280 - loss 0.02058031 - time (sec): 1.74 - samples/sec: 11995.32 - lr: 0.006250
2023-04-05 12:54:32,214 epoch 133 - iter 56/280 - loss 0.02081271 - time (sec): 3.43 - samples/sec: 12141.64 - lr: 0.006250
2023-04-05 12:54:33,934 epoch 133 - iter 84/280 - loss 0.02151370 - time (sec): 5.15 - samples/sec: 12218.82 - lr: 0.006250
2023-04-05 12:54:35,689 epoch 133 - iter 112/280 - loss 0.02087060 - time (sec): 6.91 - samples/sec: 12200.17 - lr: 0.006250
2023-04-05 12:54:37,494 epoch 133 - iter 140/280 - loss 0.02047313 - time (sec): 8.71 - samples/sec: 12179.86 - lr: 0.006250
2023-04-05 12:54:39,229 epoch 133 - iter 168/280 - loss 0.02084573 - time (sec): 10.45 - samples/sec: 12171.25 - lr: 0.006250
2023-04-05 12:54:40,989 epoch 133 - iter 196/280 - loss 0.02105643 - time (sec): 12.21 - samples/sec: 12173.61 - lr: 0.006250
2023-04-05 12:54:42,733 epoch 133 - iter 224/280 - loss 0.02098343 - time (sec): 13.95 - samples/sec: 12149.99 - lr: 0.006250
2023-04-05 12:54:44,451 epoch 133 - iter 252/280 - loss 0.02086740 - time (sec): 15.67 - samples/sec: 12197.29 - lr: 0.006250
2023-04-05 12:54:46,248 epoch 133 - iter 280/280 - loss 0.02113052 - time (sec): 17.47 - samples/sec: 12120.77 - lr: 0.006250
2023-04-05 12:54:46,249 ----------------------------------------------------------------------------------------------------
2023-04-05 12:54:46,249 EPOCH 133 done: loss 0.0211 - lr 0.006250
2023-04-05 12:54:46,249 BAD EPOCHS (no improvement): 2
2023-04-05 12:54:46,252 ----------------------------------------------------------------------------------------------------
2023-04-05 12:54:48,038 epoch 134 - iter 28/280 - loss 0.02009833 - time (sec): 1.79 - samples/sec: 12139.79 - lr: 0.006250
2023-04-05 12:54:49,763 epoch 134 - iter 56/280 - loss 0.01965286 - time (sec): 3.51 - samples/sec: 12154.05 - lr: 0.006250
2023-04-05 12:54:51,462 epoch 134 - iter 84/280 - loss 0.02083831 - time (sec): 5.21 - samples/sec: 12292.03 - lr: 0.006250
2023-04-05 12:54:53,251 epoch 134 - iter 112/280 - loss 0.02100736 - time (sec): 7.00 - samples/sec: 12185.61 - lr: 0.006250
2023-04-05 12:54:55,045 epoch 134 - iter 140/280 - loss 0.02101936 - time (sec): 8.79 - samples/sec: 12092.01 - lr: 0.006250
2023-04-05 12:54:56,859 epoch 134 - iter 168/280 - loss 0.02073502 - time (sec): 10.61 - samples/sec: 12042.62 - lr: 0.006250
2023-04-05 12:54:58,613 epoch 134 - iter 196/280 - loss 0.02054543 - time (sec): 12.36 - samples/sec: 12026.50 - lr: 0.006250
2023-04-05 12:55:00,378 epoch 134 - iter 224/280 - loss 0.02040906 - time (sec): 14.13 - samples/sec: 12036.69 - lr: 0.006250
2023-04-05 12:55:02,191 epoch 134 - iter 252/280 - loss 0.02076880 - time (sec): 15.94 - samples/sec: 11997.08 - lr: 0.006250
2023-04-05 12:55:03,931 epoch 134 - iter 280/280 - loss 0.02065815 - time (sec): 17.68 - samples/sec: 11974.08 - lr: 0.006250
2023-04-05 12:55:03,931 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:03,931 EPOCH 134 done: loss 0.0207 - lr 0.006250
2023-04-05 12:55:03,931 BAD EPOCHS (no improvement): 0
2023-04-05 12:55:03,933 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:05,708 epoch 135 - iter 28/280 - loss 0.02255808 - time (sec): 1.77 - samples/sec: 11823.27 - lr: 0.006250
2023-04-05 12:55:07,472 epoch 135 - iter 56/280 - loss 0.02127462 - time (sec): 3.54 - samples/sec: 11912.76 - lr: 0.006250
2023-04-05 12:55:09,237 epoch 135 - iter 84/280 - loss 0.02103809 - time (sec): 5.30 - samples/sec: 11903.10 - lr: 0.006250
2023-04-05 12:55:11,049 epoch 135 - iter 112/280 - loss 0.02097137 - time (sec): 7.12 - samples/sec: 11863.09 - lr: 0.006250
2023-04-05 12:55:12,851 epoch 135 - iter 140/280 - loss 0.02079425 - time (sec): 8.92 - samples/sec: 11866.08 - lr: 0.006250
2023-04-05 12:55:14,629 epoch 135 - iter 168/280 - loss 0.02106573 - time (sec): 10.70 - samples/sec: 11925.23 - lr: 0.006250
2023-04-05 12:55:16,358 epoch 135 - iter 196/280 - loss 0.02104574 - time (sec): 12.42 - samples/sec: 11951.82 - lr: 0.006250
2023-04-05 12:55:18,186 epoch 135 - iter 224/280 - loss 0.02087961 - time (sec): 14.25 - samples/sec: 11900.08 - lr: 0.006250
2023-04-05 12:55:20,002 epoch 135 - iter 252/280 - loss 0.02110587 - time (sec): 16.07 - samples/sec: 11894.12 - lr: 0.006250
2023-04-05 12:55:21,714 epoch 135 - iter 280/280 - loss 0.02089798 - time (sec): 17.78 - samples/sec: 11905.95 - lr: 0.006250
2023-04-05 12:55:21,714 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:21,714 EPOCH 135 done: loss 0.0209 - lr 0.006250
2023-04-05 12:55:21,714 BAD EPOCHS (no improvement): 1
2023-04-05 12:55:21,717 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:23,472 epoch 136 - iter 28/280 - loss 0.01917636 - time (sec): 1.75 - samples/sec: 11946.83 - lr: 0.006250
2023-04-05 12:55:25,246 epoch 136 - iter 56/280 - loss 0.02089857 - time (sec): 3.53 - samples/sec: 11954.05 - lr: 0.006250
2023-04-05 12:55:26,987 epoch 136 - iter 84/280 - loss 0.02115858 - time (sec): 5.27 - samples/sec: 12032.08 - lr: 0.006250
2023-04-05 12:55:28,764 epoch 136 - iter 112/280 - loss 0.02124606 - time (sec): 7.05 - samples/sec: 11992.96 - lr: 0.006250
2023-04-05 12:55:30,555 epoch 136 - iter 140/280 - loss 0.02126239 - time (sec): 8.84 - samples/sec: 11961.69 - lr: 0.006250
2023-04-05 12:55:32,393 epoch 136 - iter 168/280 - loss 0.02085425 - time (sec): 10.68 - samples/sec: 11901.45 - lr: 0.006250
2023-04-05 12:55:34,145 epoch 136 - iter 196/280 - loss 0.02072339 - time (sec): 12.43 - samples/sec: 11900.30 - lr: 0.006250
2023-04-05 12:55:35,912 epoch 136 - iter 224/280 - loss 0.02111174 - time (sec): 14.19 - samples/sec: 11925.81 - lr: 0.006250
2023-04-05 12:55:37,761 epoch 136 - iter 252/280 - loss 0.02104363 - time (sec): 16.04 - samples/sec: 11922.17 - lr: 0.006250
2023-04-05 12:55:39,454 epoch 136 - iter 280/280 - loss 0.02099724 - time (sec): 17.74 - samples/sec: 11934.94 - lr: 0.006250
2023-04-05 12:55:39,455 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:39,455 EPOCH 136 done: loss 0.0210 - lr 0.006250
2023-04-05 12:55:39,455 BAD EPOCHS (no improvement): 2
2023-04-05 12:55:39,458 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:41,205 epoch 137 - iter 28/280 - loss 0.02110131 - time (sec): 1.75 - samples/sec: 11915.07 - lr: 0.006250
2023-04-05 12:55:42,938 epoch 137 - iter 56/280 - loss 0.02024184 - time (sec): 3.48 - samples/sec: 12007.49 - lr: 0.006250
2023-04-05 12:55:44,727 epoch 137 - iter 84/280 - loss 0.02098503 - time (sec): 5.27 - samples/sec: 12003.53 - lr: 0.006250
2023-04-05 12:55:46,557 epoch 137 - iter 112/280 - loss 0.02061369 - time (sec): 7.10 - samples/sec: 12002.04 - lr: 0.006250
2023-04-05 12:55:48,334 epoch 137 - iter 140/280 - loss 0.02022632 - time (sec): 8.88 - samples/sec: 11965.24 - lr: 0.006250
2023-04-05 12:55:50,061 epoch 137 - iter 168/280 - loss 0.02033981 - time (sec): 10.60 - samples/sec: 11964.85 - lr: 0.006250
2023-04-05 12:55:51,818 epoch 137 - iter 196/280 - loss 0.02063690 - time (sec): 12.36 - samples/sec: 11993.20 - lr: 0.006250
2023-04-05 12:55:53,621 epoch 137 - iter 224/280 - loss 0.02079899 - time (sec): 14.16 - samples/sec: 11973.48 - lr: 0.006250
2023-04-05 12:55:55,362 epoch 137 - iter 252/280 - loss 0.02096360 - time (sec): 15.90 - samples/sec: 12014.00 - lr: 0.006250
2023-04-05 12:55:57,029 epoch 137 - iter 280/280 - loss 0.02062498 - time (sec): 17.57 - samples/sec: 12047.58 - lr: 0.006250
2023-04-05 12:55:57,029 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:57,029 EPOCH 137 done: loss 0.0206 - lr 0.006250
2023-04-05 12:55:57,029 BAD EPOCHS (no improvement): 0
2023-04-05 12:55:57,032 ----------------------------------------------------------------------------------------------------
2023-04-05 12:55:58,737 epoch 138 - iter 28/280 - loss 0.02033480 - time (sec): 1.71 - samples/sec: 12304.06 - lr: 0.006250
2023-04-05 12:56:00,451 epoch 138 - iter 56/280 - loss 0.02123175 - time (sec): 3.42 - samples/sec: 12315.22 - lr: 0.006250
2023-04-05 12:56:02,184 epoch 138 - iter 84/280 - loss 0.02168400 - time (sec): 5.15 - samples/sec: 12273.87 - lr: 0.006250
2023-04-05 12:56:03,911 epoch 138 - iter 112/280 - loss 0.02120274 - time (sec): 6.88 - samples/sec: 12283.59 - lr: 0.006250
2023-04-05 12:56:05,701 epoch 138 - iter 140/280 - loss 0.02070719 - time (sec): 8.67 - samples/sec: 12237.96 - lr: 0.006250
2023-04-05 12:56:07,463 epoch 138 - iter 168/280 - loss 0.02088838 - time (sec): 10.43 - samples/sec: 12187.41 - lr: 0.006250
2023-04-05 12:56:09,194 epoch 138 - iter 196/280 - loss 0.02106339 - time (sec): 12.16 - samples/sec: 12203.36 - lr: 0.006250
2023-04-05 12:56:10,962 epoch 138 - iter 224/280 - loss 0.02117223 - time (sec): 13.93 - samples/sec: 12172.14 - lr: 0.006250
2023-04-05 12:56:12,740 epoch 138 - iter 252/280 - loss 0.02146217 - time (sec): 15.71 - samples/sec: 12138.63 - lr: 0.006250
2023-04-05 12:56:14,476 epoch 138 - iter 280/280 - loss 0.02156758 - time (sec): 17.44 - samples/sec: 12135.21 - lr: 0.006250
2023-04-05 12:56:14,476 ----------------------------------------------------------------------------------------------------
2023-04-05 12:56:14,476 EPOCH 138 done: loss 0.0216 - lr 0.006250
2023-04-05 12:56:14,476 BAD EPOCHS (no improvement): 1
2023-04-05 12:56:14,479 ----------------------------------------------------------------------------------------------------
2023-04-05 12:56:16,264 epoch 139 - iter 28/280 - loss 0.01994474 - time (sec): 1.78 - samples/sec: 11861.76 - lr: 0.006250
2023-04-05 12:56:18,071 epoch 139 - iter 56/280 - loss 0.02175664 - time (sec): 3.59 - samples/sec: 11771.13 - lr: 0.006250
2023-04-05 12:56:19,815 epoch 139 - iter 84/280 - loss 0.02158162 - time (sec): 5.34 - samples/sec: 11943.17 - lr: 0.006250
2023-04-05 12:56:21,473 epoch 139 - iter 112/280 - loss 0.02145408 - time (sec): 6.99 - samples/sec: 12098.11 - lr: 0.006250
2023-04-05 12:56:23,267 epoch 139 - iter 140/280 - loss 0.02165235 - time (sec): 8.79 - samples/sec: 12097.96 - lr: 0.006250
2023-04-05 12:56:25,066 epoch 139 - iter 168/280 - loss 0.02170557 - time (sec): 10.59 - samples/sec: 12042.20 - lr: 0.006250
2023-04-05 12:56:26,833 epoch 139 - iter 196/280 - loss 0.02193518 - time (sec): 12.35 - samples/sec: 12026.26 - lr: 0.006250
2023-04-05 12:56:28,612 epoch 139 - iter 224/280 - loss 0.02211744 - time (sec): 14.13 - samples/sec: 12024.18 - lr: 0.006250
2023-04-05 12:56:30,339 epoch 139 - iter 252/280 - loss 0.02191529 - time (sec): 15.86 - samples/sec: 12040.45 - lr: 0.006250
2023-04-05 12:56:32,031 epoch 139 - iter 280/280 - loss 0.02176531 - time (sec): 17.55 - samples/sec: 12060.80 - lr: 0.006250
2023-04-05 12:56:32,031 ----------------------------------------------------------------------------------------------------
2023-04-05 12:56:32,031 EPOCH 139 done: loss 0.0218 - lr 0.006250
2023-04-05 12:56:32,031 BAD EPOCHS (no improvement): 2
2023-04-05 12:56:32,034 ----------------------------------------------------------------------------------------------------
2023-04-05 12:56:33,732 epoch 140 - iter 28/280 - loss 0.01921794 - time (sec): 1.70 - samples/sec: 12294.48 - lr: 0.006250
2023-04-05 12:56:35,552 epoch 140 - iter 56/280 - loss 0.01990356 - time (sec): 3.52 - samples/sec: 12100.20 - lr: 0.006250
2023-04-05 12:56:37,275 epoch 140 - iter 84/280 - loss 0.01917761 - time (sec): 5.24 - samples/sec: 12219.32 - lr: 0.006250
2023-04-05 12:56:39,018 epoch 140 - iter 112/280 - loss 0.01948935 - time (sec): 6.98 - samples/sec: 12248.62 - lr: 0.006250
2023-04-05 12:56:40,741 epoch 140 - iter 140/280 - loss 0.01971567 - time (sec): 8.71 - samples/sec: 12221.38 - lr: 0.006250
2023-04-05 12:56:42,495 epoch 140 - iter 168/280 - loss 0.02037778 - time (sec): 10.46 - samples/sec: 12209.31 - lr: 0.006250
2023-04-05 12:56:44,351 epoch 140 - iter 196/280 - loss 0.02033376 - time (sec): 12.32 - samples/sec: 12073.23 - lr: 0.006250
2023-04-05 12:56:46,207 epoch 140 - iter 224/280 - loss 0.02025888 - time (sec): 14.17 - samples/sec: 11992.23 - lr: 0.006250
2023-04-05 12:56:47,990 epoch 140 - iter 252/280 - loss 0.02032170 - time (sec): 15.96 - samples/sec: 12001.66 - lr: 0.006250
2023-04-05 12:56:49,758 epoch 140 - iter 280/280 - loss 0.02038315 - time (sec): 17.72 - samples/sec: 11943.68 - lr: 0.006250
2023-04-05 12:56:49,758 ----------------------------------------------------------------------------------------------------
2023-04-05 12:56:49,758 EPOCH 140 done: loss 0.0204 - lr 0.006250
2023-04-05 12:56:49,758 BAD EPOCHS (no improvement): 0
2023-04-05 12:56:49,761 ----------------------------------------------------------------------------------------------------
2023-04-05 12:56:51,588 epoch 141 - iter 28/280 - loss 0.02188053 - time (sec): 1.83 - samples/sec: 11697.73 - lr: 0.006250
2023-04-05 12:56:53,397 epoch 141 - iter 56/280 - loss 0.02037515 - time (sec): 3.64 - samples/sec: 11884.13 - lr: 0.006250
2023-04-05 12:56:55,191 epoch 141 - iter 84/280 - loss 0.02134273 - time (sec): 5.43 - samples/sec: 11832.91 - lr: 0.006250
2023-04-05 12:56:56,972 epoch 141 - iter 112/280 - loss 0.02091264 - time (sec): 7.21 - samples/sec: 11787.58 - lr: 0.006250
2023-04-05 12:56:58,786 epoch 141 - iter 140/280 - loss 0.02020938 - time (sec): 9.02 - samples/sec: 11776.97 - lr: 0.006250
2023-04-05 12:57:00,591 epoch 141 - iter 168/280 - loss 0.02010021 - time (sec): 10.83 - samples/sec: 11775.17 - lr: 0.006250
2023-04-05 12:57:02,339 epoch 141 - iter 196/280 - loss 0.02037379 - time (sec): 12.58 - samples/sec: 11780.36 - lr: 0.006250
2023-04-05 12:57:04,168 epoch 141 - iter 224/280 - loss 0.02050251 - time (sec): 14.41 - samples/sec: 11776.76 - lr: 0.006250
2023-04-05 12:57:05,911 epoch 141 - iter 252/280 - loss 0.02048188 - time (sec): 16.15 - samples/sec: 11824.62 - lr: 0.006250
2023-04-05 12:57:07,669 epoch 141 - iter 280/280 - loss 0.02039574 - time (sec): 17.91 - samples/sec: 11820.97 - lr: 0.006250
2023-04-05 12:57:07,670 ----------------------------------------------------------------------------------------------------
2023-04-05 12:57:07,670 EPOCH 141 done: loss 0.0204 - lr 0.006250
2023-04-05 12:57:07,670 BAD EPOCHS (no improvement): 1
2023-04-05 12:57:07,672 ----------------------------------------------------------------------------------------------------
2023-04-05 12:57:09,462 epoch 142 - iter 28/280 - loss 0.01859714 - time (sec): 1.79 - samples/sec: 12172.17 - lr: 0.006250
2023-04-05 12:57:11,168 epoch 142 - iter 56/280 - loss 0.01965646 - time (sec): 3.50 - samples/sec: 12047.42 - lr: 0.006250
2023-04-05 12:57:12,931 epoch 142 - iter 84/280 - loss 0.01937481 - time (sec): 5.26 - samples/sec: 12028.33 - lr: 0.006250
2023-04-05 12:57:14,705 epoch 142 - iter 112/280 - loss 0.01943033 - time (sec): 7.03 - samples/sec: 12030.76 - lr: 0.006250
2023-04-05 12:57:16,454 epoch 142 - iter 140/280 - loss 0.01972203 - time (sec): 8.78 - samples/sec: 12030.35 - lr: 0.006250
2023-04-05 12:57:18,215 epoch 142 - iter 168/280 - loss 0.01992900 - time (sec): 10.54 - samples/sec: 11995.39 - lr: 0.006250
2023-04-05 12:57:19,983 epoch 142 - iter 196/280 - loss 0.01990528 - time (sec): 12.31 - samples/sec: 12022.30 - lr: 0.006250
2023-04-05 12:57:21,780 epoch 142 - iter 224/280 - loss 0.02021582 - time (sec): 14.11 - samples/sec: 12035.67 - lr: 0.006250
2023-04-05 12:57:23,637 epoch 142 - iter 252/280 - loss 0.02006378 - time (sec): 15.96 - samples/sec: 12001.54 - lr: 0.006250
2023-04-05 12:57:25,328 epoch 142 - iter 280/280 - loss 0.02029818 - time (sec): 17.66 - samples/sec: 11990.15 - lr: 0.006250
2023-04-05 12:57:25,328 ----------------------------------------------------------------------------------------------------
2023-04-05 12:57:25,328 EPOCH 142 done: loss 0.0203 - lr 0.006250
2023-04-05 12:57:25,328 BAD EPOCHS (no improvement): 0
2023-04-05 12:57:25,330 ----------------------------------------------------------------------------------------------------
2023-04-05 12:57:27,158 epoch 143 - iter 28/280 - loss 0.02010194 - time (sec): 1.83 - samples/sec: 11893.29 - lr: 0.006250
2023-04-05 12:57:28,923 epoch 143 - iter 56/280 - loss 0.02079161 - time (sec): 3.59 - samples/sec: 11895.24 - lr: 0.006250
2023-04-05 12:57:30,702 epoch 143 - iter 84/280 - loss 0.02099196 - time (sec): 5.37 - samples/sec: 11994.51 - lr: 0.006250
2023-04-05 12:57:32,472 epoch 143 - iter 112/280 - loss 0.02058498 - time (sec): 7.14 - samples/sec: 11956.90 - lr: 0.006250
2023-04-05 12:57:34,243 epoch 143 - iter 140/280 - loss 0.02026419 - time (sec): 8.91 - samples/sec: 11972.12 - lr: 0.006250
2023-04-05 12:57:36,021 epoch 143 - iter 168/280 - loss 0.01983932 - time (sec): 10.69 - samples/sec: 11940.09 - lr: 0.006250
2023-04-05 12:57:37,748 epoch 143 - iter 196/280 - loss 0.01990114 - time (sec): 12.42 - samples/sec: 11999.47 - lr: 0.006250
2023-04-05 12:57:39,492 epoch 143 - iter 224/280 - loss 0.01974037 - time (sec): 14.16 - samples/sec: 12015.12 - lr: 0.006250
2023-04-05 12:57:41,227 epoch 143 - iter 252/280 - loss 0.01957207 - time (sec): 15.90 - samples/sec: 12024.59 - lr: 0.006250
2023-04-05 12:57:42,938 epoch 143 - iter 280/280 - loss 0.01958354 - time (sec): 17.61 - samples/sec: 12022.60 - lr: 0.006250
2023-04-05 12:57:42,938 ----------------------------------------------------------------------------------------------------
2023-04-05 12:57:42,938 EPOCH 143 done: loss 0.0196 - lr 0.006250
2023-04-05 12:57:42,938 BAD EPOCHS (no improvement): 0
2023-04-05 12:57:42,941 ----------------------------------------------------------------------------------------------------
2023-04-05 12:57:44,640 epoch 144 - iter 28/280 - loss 0.02197462 - time (sec): 1.70 - samples/sec: 12287.06 - lr: 0.006250
2023-04-05 12:57:46,398 epoch 144 - iter 56/280 - loss 0.02146840 - time (sec): 3.46 - samples/sec: 12234.88 - lr: 0.006250
2023-04-05 12:57:49,458 epoch 144 - iter 84/280 - loss 0.02103122 - time (sec): 6.52 - samples/sec: 9722.10 - lr: 0.006250
2023-04-05 12:57:51,237 epoch 144 - iter 112/280 - loss 0.02057866 - time (sec): 8.30 - samples/sec: 10253.78 - lr: 0.006250
2023-04-05 12:57:53,028 epoch 144 - iter 140/280 - loss 0.02015223 - time (sec): 10.09 - samples/sec: 10557.83 - lr: 0.006250
2023-04-05 12:57:54,815 epoch 144 - iter 168/280 - loss 0.02002171 - time (sec): 11.87 - samples/sec: 10753.38 - lr: 0.006250
2023-04-05 12:57:56,598 epoch 144 - iter 196/280 - loss 0.02011530 - time (sec): 13.66 - samples/sec: 10940.76 - lr: 0.006250
2023-04-05 12:57:58,351 epoch 144 - iter 224/280 - loss 0.02036714 - time (sec): 15.41 - samples/sec: 11060.26 - lr: 0.006250
2023-04-05 12:58:00,107 epoch 144 - iter 252/280 - loss 0.02037679 - time (sec): 17.17 - samples/sec: 11143.54 - lr: 0.006250
2023-04-05 12:58:01,854 epoch 144 - iter 280/280 - loss 0.02020664 - time (sec): 18.91 - samples/sec: 11193.13 - lr: 0.006250
2023-04-05 12:58:01,854 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:01,854 EPOCH 144 done: loss 0.0202 - lr 0.006250
2023-04-05 12:58:01,854 BAD EPOCHS (no improvement): 1
2023-04-05 12:58:01,857 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:03,662 epoch 145 - iter 28/280 - loss 0.02193646 - time (sec): 1.80 - samples/sec: 12099.31 - lr: 0.006250
2023-04-05 12:58:05,390 epoch 145 - iter 56/280 - loss 0.01999498 - time (sec): 3.53 - samples/sec: 12179.14 - lr: 0.006250
2023-04-05 12:58:07,106 epoch 145 - iter 84/280 - loss 0.01995583 - time (sec): 5.25 - samples/sec: 12180.25 - lr: 0.006250
2023-04-05 12:58:08,924 epoch 145 - iter 112/280 - loss 0.01966959 - time (sec): 7.07 - samples/sec: 12066.93 - lr: 0.006250
2023-04-05 12:58:10,746 epoch 145 - iter 140/280 - loss 0.01984317 - time (sec): 8.89 - samples/sec: 12021.30 - lr: 0.006250
2023-04-05 12:58:12,561 epoch 145 - iter 168/280 - loss 0.02009604 - time (sec): 10.70 - samples/sec: 11964.83 - lr: 0.006250
2023-04-05 12:58:14,278 epoch 145 - iter 196/280 - loss 0.02023827 - time (sec): 12.42 - samples/sec: 11979.58 - lr: 0.006250
2023-04-05 12:58:16,010 epoch 145 - iter 224/280 - loss 0.02012855 - time (sec): 14.15 - samples/sec: 11996.94 - lr: 0.006250
2023-04-05 12:58:17,808 epoch 145 - iter 252/280 - loss 0.02010746 - time (sec): 15.95 - samples/sec: 12019.48 - lr: 0.006250
2023-04-05 12:58:19,435 epoch 145 - iter 280/280 - loss 0.02002581 - time (sec): 17.58 - samples/sec: 12043.23 - lr: 0.006250
2023-04-05 12:58:19,435 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:19,435 EPOCH 145 done: loss 0.0200 - lr 0.006250
2023-04-05 12:58:19,435 BAD EPOCHS (no improvement): 2
2023-04-05 12:58:19,438 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:21,177 epoch 146 - iter 28/280 - loss 0.01995344 - time (sec): 1.74 - samples/sec: 12492.59 - lr: 0.006250
2023-04-05 12:58:22,950 epoch 146 - iter 56/280 - loss 0.02019685 - time (sec): 3.51 - samples/sec: 12358.32 - lr: 0.006250
2023-04-05 12:58:24,613 epoch 146 - iter 84/280 - loss 0.02023904 - time (sec): 5.18 - samples/sec: 12359.03 - lr: 0.006250
2023-04-05 12:58:26,364 epoch 146 - iter 112/280 - loss 0.02055221 - time (sec): 6.93 - samples/sec: 12300.31 - lr: 0.006250
2023-04-05 12:58:28,151 epoch 146 - iter 140/280 - loss 0.02084083 - time (sec): 8.71 - samples/sec: 12232.15 - lr: 0.006250
2023-04-05 12:58:29,848 epoch 146 - iter 168/280 - loss 0.02085931 - time (sec): 10.41 - samples/sec: 12204.00 - lr: 0.006250
2023-04-05 12:58:31,652 epoch 146 - iter 196/280 - loss 0.02059684 - time (sec): 12.21 - samples/sec: 12187.84 - lr: 0.006250
2023-04-05 12:58:33,387 epoch 146 - iter 224/280 - loss 0.02032317 - time (sec): 13.95 - samples/sec: 12122.34 - lr: 0.006250
2023-04-05 12:58:35,271 epoch 146 - iter 252/280 - loss 0.02023863 - time (sec): 15.83 - samples/sec: 12049.35 - lr: 0.006250
2023-04-05 12:58:37,097 epoch 146 - iter 280/280 - loss 0.02034035 - time (sec): 17.66 - samples/sec: 11987.53 - lr: 0.006250
2023-04-05 12:58:37,098 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:37,098 EPOCH 146 done: loss 0.0203 - lr 0.006250
2023-04-05 12:58:37,098 BAD EPOCHS (no improvement): 3
2023-04-05 12:58:37,100 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:38,883 epoch 147 - iter 28/280 - loss 0.01838047 - time (sec): 1.78 - samples/sec: 11855.40 - lr: 0.006250
2023-04-05 12:58:40,659 epoch 147 - iter 56/280 - loss 0.02012364 - time (sec): 3.56 - samples/sec: 11845.65 - lr: 0.006250
2023-04-05 12:58:42,488 epoch 147 - iter 84/280 - loss 0.01911159 - time (sec): 5.39 - samples/sec: 11761.52 - lr: 0.006250
2023-04-05 12:58:44,231 epoch 147 - iter 112/280 - loss 0.01933628 - time (sec): 7.13 - samples/sec: 11856.89 - lr: 0.006250
2023-04-05 12:58:46,003 epoch 147 - iter 140/280 - loss 0.01939542 - time (sec): 8.90 - samples/sec: 11870.52 - lr: 0.006250
2023-04-05 12:58:47,798 epoch 147 - iter 168/280 - loss 0.01999518 - time (sec): 10.70 - samples/sec: 11897.58 - lr: 0.006250
2023-04-05 12:58:49,577 epoch 147 - iter 196/280 - loss 0.02000318 - time (sec): 12.48 - samples/sec: 11927.99 - lr: 0.006250
2023-04-05 12:58:51,297 epoch 147 - iter 224/280 - loss 0.02005178 - time (sec): 14.20 - samples/sec: 11942.97 - lr: 0.006250
2023-04-05 12:58:53,027 epoch 147 - iter 252/280 - loss 0.02023572 - time (sec): 15.93 - samples/sec: 11968.11 - lr: 0.006250
2023-04-05 12:58:54,790 epoch 147 - iter 280/280 - loss 0.02023411 - time (sec): 17.69 - samples/sec: 11966.82 - lr: 0.006250
2023-04-05 12:58:54,790 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:54,790 EPOCH 147 done: loss 0.0202 - lr 0.006250
2023-04-05 12:58:54,790 Epoch 147: reducing learning rate of group 0 to 3.1250e-03.
2023-04-05 12:58:54,790 BAD EPOCHS (no improvement): 4
2023-04-05 12:58:54,793 ----------------------------------------------------------------------------------------------------
2023-04-05 12:58:56,526 epoch 148 - iter 28/280 - loss 0.01913487 - time (sec): 1.73 - samples/sec: 12350.56 - lr: 0.003125
2023-04-05 12:58:58,250 epoch 148 - iter 56/280 - loss 0.01920810 - time (sec): 3.46 - samples/sec: 12388.04 - lr: 0.003125
2023-04-05 12:58:59,928 epoch 148 - iter 84/280 - loss 0.01939795 - time (sec): 5.14 - samples/sec: 12365.01 - lr: 0.003125
2023-04-05 12:59:01,696 epoch 148 - iter 112/280 - loss 0.01936008 - time (sec): 6.90 - samples/sec: 12320.60 - lr: 0.003125
2023-04-05 12:59:03,491 epoch 148 - iter 140/280 - loss 0.01985709 - time (sec): 8.70 - samples/sec: 12240.38 - lr: 0.003125
2023-04-05 12:59:05,201 epoch 148 - iter 168/280 - loss 0.01993292 - time (sec): 10.41 - samples/sec: 12192.45 - lr: 0.003125
2023-04-05 12:59:07,008 epoch 148 - iter 196/280 - loss 0.02022000 - time (sec): 12.22 - samples/sec: 12150.68 - lr: 0.003125
2023-04-05 12:59:08,776 epoch 148 - iter 224/280 - loss 0.02023408 - time (sec): 13.98 - samples/sec: 12144.31 - lr: 0.003125
2023-04-05 12:59:10,498 epoch 148 - iter 252/280 - loss 0.01996388 - time (sec): 15.71 - samples/sec: 12133.71 - lr: 0.003125
2023-04-05 12:59:12,301 epoch 148 - iter 280/280 - loss 0.02003076 - time (sec): 17.51 - samples/sec: 12090.95 - lr: 0.003125
2023-04-05 12:59:12,301 ----------------------------------------------------------------------------------------------------
2023-04-05 12:59:12,301 EPOCH 148 done: loss 0.0200 - lr 0.003125
2023-04-05 12:59:12,301 BAD EPOCHS (no improvement): 1
2023-04-05 12:59:12,304 ----------------------------------------------------------------------------------------------------
2023-04-05 12:59:14,063 epoch 149 - iter 28/280 - loss 0.02081578 - time (sec): 1.76 - samples/sec: 12001.67 - lr: 0.003125
2023-04-05 12:59:15,868 epoch 149 - iter 56/280 - loss 0.02098709 - time (sec): 3.56 - samples/sec: 12008.86 - lr: 0.003125
2023-04-05 12:59:17,676 epoch 149 - iter 84/280 - loss 0.02030920 - time (sec): 5.37 - samples/sec: 11883.00 - lr: 0.003125
2023-04-05 12:59:19,498 epoch 149 - iter 112/280 - loss 0.02142786 - time (sec): 7.19 - samples/sec: 11836.22 - lr: 0.003125
2023-04-05 12:59:21,344 epoch 149 - iter 140/280 - loss 0.02106536 - time (sec): 9.04 - samples/sec: 11754.53 - lr: 0.003125
2023-04-05 12:59:23,126 epoch 149 - iter 168/280 - loss 0.02063326 - time (sec): 10.82 - samples/sec: 11774.87 - lr: 0.003125
2023-04-05 12:59:24,885 epoch 149 - iter 196/280 - loss 0.02064853 - time (sec): 12.58 - samples/sec: 11798.55 - lr: 0.003125
2023-04-05 12:59:26,635 epoch 149 - iter 224/280 - loss 0.02079370 - time (sec): 14.33 - samples/sec: 11835.76 - lr: 0.003125
2023-04-05 12:59:28,421 epoch 149 - iter 252/280 - loss 0.02057992 - time (sec): 16.12 - samples/sec: 11835.87 - lr: 0.003125
2023-04-05 12:59:30,139 epoch 149 - iter 280/280 - loss 0.02072045 - time (sec): 17.83 - samples/sec: 11869.65 - lr: 0.003125
2023-04-05 12:59:30,139 ----------------------------------------------------------------------------------------------------
2023-04-05 12:59:30,139 EPOCH 149 done: loss 0.0207 - lr 0.003125
2023-04-05 12:59:30,139 BAD EPOCHS (no improvement): 2
2023-04-05 12:59:30,142 ----------------------------------------------------------------------------------------------------
2023-04-05 12:59:31,852 epoch 150 - iter 28/280 - loss 0.01987429 - time (sec): 1.71 - samples/sec: 12394.36 - lr: 0.003125
2023-04-05 12:59:33,580 epoch 150 - iter 56/280 - loss 0.01967127 - time (sec): 3.44 - samples/sec: 12346.56 - lr: 0.003125
2023-04-05 12:59:35,313 epoch 150 - iter 84/280 - loss 0.01956154 - time (sec): 5.17 - samples/sec: 12321.81 - lr: 0.003125
2023-04-05 12:59:37,124 epoch 150 - iter 112/280 - loss 0.01984610 - time (sec): 6.98 - samples/sec: 12188.55 - lr: 0.003125
2023-04-05 12:59:38,835 epoch 150 - iter 140/280 - loss 0.02024445 - time (sec): 8.69 - samples/sec: 12265.16 - lr: 0.003125
2023-04-05 12:59:40,625 epoch 150 - iter 168/280 - loss 0.02053540 - time (sec): 10.48 - samples/sec: 12217.36 - lr: 0.003125
2023-04-05 12:59:42,364 epoch 150 - iter 196/280 - loss 0.02027231 - time (sec): 12.22 - samples/sec: 12207.74 - lr: 0.003125
2023-04-05 12:59:44,125 epoch 150 - iter 224/280 - loss 0.02038117 - time (sec): 13.98 - samples/sec: 12141.37 - lr: 0.003125
2023-04-05 12:59:45,931 epoch 150 - iter 252/280 - loss 0.02032830 - time (sec): 15.79 - samples/sec: 12105.52 - lr: 0.003125
2023-04-05 12:59:47,694 epoch 150 - iter 280/280 - loss 0.02028558 - time (sec): 17.55 - samples/sec: 12060.74 - lr: 0.003125
2023-04-05 12:59:47,694 ----------------------------------------------------------------------------------------------------
2023-04-05 12:59:47,694 EPOCH 150 done: loss 0.0203 - lr 0.003125
2023-04-05 12:59:47,694 BAD EPOCHS (no improvement): 3
2023-04-05 12:59:48,052 ----------------------------------------------------------------------------------------------------
2023-04-05 12:59:48,053 Testing using last state of model ...
2023-04-05 12:59:53,372 Evaluating as a multi-label problem: False
2023-04-05 12:59:53,469 0.9627 0.963 0.9629 0.9353
2023-04-05 12:59:53,469
Results:
- F-score (micro) 0.9629
- F-score (macro) 0.7875
- Accuracy 0.9353
By class:
precision recall f1-score support
NP 0.9699 0.9673 0.9686 12422
PP 0.9835 0.9884 0.9859 4811
VP 0.9628 0.9665 0.9646 4658
ADVP 0.8470 0.8568 0.8519 866
SBAR 0.9423 0.9458 0.9440 535
ADJP 0.8478 0.8014 0.8239 438
PRT 0.7826 0.8491 0.8145 106
CONJP 0.4286 0.6667 0.5217 9
LST 0.0000 0.0000 0.0000 5
INTJ 1.0000 1.0000 1.0000 2
micro avg 0.9627 0.9630 0.9629 23852
macro avg 0.7764 0.8042 0.7875 23852
weighted avg 0.9627 0.9630 0.9628 23852
2023-04-05 12:59:53,469 ----------------------------------------------------------------------------------------------------
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