2023-04-05 22:32:47,867 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:32:47,868 Model: "SequenceTagger( (embeddings): StackedEmbeddings( (list_embedding_0): BytePairEmbeddings(model=0-bpe-en-100000-50) (list_embedding_1): FlairEmbeddings( (lm): LanguageModel( (drop): Dropout(p=0.25, inplace=False) (encoder): Embedding(275, 100) (rnn): LSTM(100, 1024) ) ) (list_embedding_2): FlairEmbeddings( (lm): LanguageModel( (drop): Dropout(p=0.25, inplace=False) (encoder): Embedding(275, 100) (rnn): LSTM(100, 1024) ) ) ) (word_dropout): WordDropout(p=0.05) (locked_dropout): LockedDropout(p=0.5) (embedding2nn): Linear(in_features=2148, out_features=2148, bias=True) (rnn): LSTM(2148, 256, batch_first=True, bidirectional=True) (linear): Linear(in_features=512, out_features=4852, bias=True) (loss_function): CrossEntropyLoss() )" 2023-04-05 22:32:47,868 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:32:47,868 Corpus: "Corpus: 75187 train + 9603 dev + 9479 test sentences" 2023-04-05 22:32:47,868 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:32:47,868 Parameters: 2023-04-05 22:32:47,868 - learning_rate: "0.100000" 2023-04-05 22:32:47,868 - mini_batch_size: "32" 2023-04-05 22:32:47,868 - patience: "3" 2023-04-05 22:32:47,868 - anneal_factor: "0.5" 2023-04-05 22:32:47,868 - max_epochs: "150" 2023-04-05 22:32:47,868 - shuffle: "True" 2023-04-05 22:32:47,868 - train_with_dev: "True" 2023-04-05 22:32:47,868 - batch_growth_annealing: "False" 2023-04-05 22:32:47,868 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:32:47,868 Model training base path: "resources/taggers/release-frame-fast-0" 2023-04-05 22:32:47,868 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:32:47,868 Device: cuda:2 2023-04-05 22:32:47,868 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:32:47,868 Embeddings storage mode: cpu 2023-04-05 22:32:47,868 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:32:58,985 epoch 1 - iter 265/2650 - loss 1.12438219 - time (sec): 11.12 - samples/sec: 5803.04 - lr: 0.100000 2023-04-05 22:33:16,574 epoch 1 - iter 530/2650 - loss 0.98417942 - time (sec): 28.71 - samples/sec: 7721.42 - lr: 0.100000 2023-04-05 22:33:39,419 epoch 1 - iter 795/2650 - loss 0.89767603 - time (sec): 51.55 - samples/sec: 7715.35 - lr: 0.100000 2023-04-05 22:33:57,325 epoch 1 - iter 1060/2650 - loss 0.85403968 - time (sec): 69.46 - samples/sec: 8001.12 - lr: 0.100000 2023-04-05 22:34:09,998 epoch 1 - iter 1325/2650 - loss 0.77235053 - time (sec): 82.13 - samples/sec: 8226.57 - lr: 0.100000 2023-04-05 22:34:28,577 epoch 1 - iter 1590/2650 - loss 0.70982659 - time (sec): 100.71 - samples/sec: 8098.94 - lr: 0.100000 2023-04-05 22:34:51,758 epoch 1 - iter 1855/2650 - loss 0.68554008 - time (sec): 123.89 - samples/sec: 8317.39 - lr: 0.100000 2023-04-05 22:35:10,618 epoch 1 - iter 2120/2650 - loss 0.66231260 - time (sec): 142.75 - samples/sec: 8431.99 - lr: 0.100000 2023-04-05 22:35:28,348 epoch 1 - iter 2385/2650 - loss 0.63883293 - time (sec): 160.48 - samples/sec: 8206.46 - lr: 0.100000 2023-04-05 22:35:47,113 epoch 1 - iter 2650/2650 - loss 0.61853870 - time (sec): 179.24 - samples/sec: 8222.40 - lr: 0.100000 2023-04-05 22:35:47,114 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:35:47,114 EPOCH 1 done: loss 0.6185 - lr 0.100000 2023-04-05 22:35:47,114 BAD EPOCHS (no improvement): 0 2023-04-05 22:35:47,117 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:35:55,782 epoch 2 - iter 265/2650 - loss 0.40745221 - time (sec): 8.66 - samples/sec: 17226.53 - lr: 0.100000 2023-04-05 22:36:04,398 epoch 2 - iter 530/2650 - loss 0.39668787 - time (sec): 17.28 - samples/sec: 17204.32 - lr: 0.100000 2023-04-05 22:36:12,960 epoch 2 - iter 795/2650 - loss 0.39145792 - time (sec): 25.84 - samples/sec: 17186.15 - lr: 0.100000 2023-04-05 22:36:21,527 epoch 2 - iter 1060/2650 - loss 0.38471664 - time (sec): 34.41 - samples/sec: 17178.27 - lr: 0.100000 2023-04-05 22:36:30,115 epoch 2 - iter 1325/2650 - loss 0.37856073 - time (sec): 43.00 - samples/sec: 17171.20 - lr: 0.100000 2023-04-05 22:36:38,735 epoch 2 - iter 1590/2650 - loss 0.37263791 - time (sec): 51.62 - samples/sec: 17161.95 - lr: 0.100000 2023-04-05 22:36:47,436 epoch 2 - iter 1855/2650 - loss 0.36797653 - time (sec): 60.32 - samples/sec: 17152.73 - lr: 0.100000 2023-04-05 22:36:56,007 epoch 2 - iter 2120/2650 - loss 0.36277914 - time (sec): 68.89 - samples/sec: 17147.99 - lr: 0.100000 2023-04-05 22:37:04,546 epoch 2 - iter 2385/2650 - loss 0.35822346 - time (sec): 77.43 - samples/sec: 17143.18 - lr: 0.100000 2023-04-05 22:37:13,123 epoch 2 - iter 2650/2650 - loss 0.35425150 - time (sec): 86.01 - samples/sec: 17136.43 - lr: 0.100000 2023-04-05 22:37:13,123 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:37:13,123 EPOCH 2 done: loss 0.3543 - lr 0.100000 2023-04-05 22:37:13,123 BAD EPOCHS (no improvement): 0 2023-04-05 22:37:13,126 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:37:21,735 epoch 3 - iter 265/2650 - loss 0.29647037 - time (sec): 8.61 - samples/sec: 17174.44 - lr: 0.100000 2023-04-05 22:37:30,304 epoch 3 - iter 530/2650 - loss 0.29626979 - time (sec): 17.18 - samples/sec: 17193.07 - lr: 0.100000 2023-04-05 22:37:38,914 epoch 3 - iter 795/2650 - loss 0.29380498 - time (sec): 25.79 - samples/sec: 17173.28 - lr: 0.100000 2023-04-05 22:37:47,564 epoch 3 - iter 1060/2650 - loss 0.29359593 - time (sec): 34.44 - samples/sec: 17149.34 - lr: 0.100000 2023-04-05 22:37:56,171 epoch 3 - iter 1325/2650 - loss 0.29267314 - time (sec): 43.04 - samples/sec: 17155.66 - lr: 0.100000 2023-04-05 22:38:04,722 epoch 3 - iter 1590/2650 - loss 0.29257926 - time (sec): 51.60 - samples/sec: 17140.40 - lr: 0.100000 2023-04-05 22:38:13,362 epoch 3 - iter 1855/2650 - loss 0.29084045 - time (sec): 60.24 - samples/sec: 17137.29 - lr: 0.100000 2023-04-05 22:38:22,058 epoch 3 - iter 2120/2650 - loss 0.28875902 - time (sec): 68.93 - samples/sec: 17119.05 - lr: 0.100000 2023-04-05 22:38:30,573 epoch 3 - iter 2385/2650 - loss 0.28732910 - time (sec): 77.45 - samples/sec: 17126.27 - lr: 0.100000 2023-04-05 22:38:39,168 epoch 3 - iter 2650/2650 - loss 0.28471893 - time (sec): 86.04 - samples/sec: 17129.25 - lr: 0.100000 2023-04-05 22:38:39,168 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:38:39,168 EPOCH 3 done: loss 0.2847 - lr 0.100000 2023-04-05 22:38:39,168 BAD EPOCHS (no improvement): 0 2023-04-05 22:38:39,172 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:38:47,768 epoch 4 - iter 265/2650 - loss 0.26333959 - time (sec): 8.60 - samples/sec: 17218.02 - lr: 0.100000 2023-04-05 22:38:56,420 epoch 4 - iter 530/2650 - loss 0.26217528 - time (sec): 17.25 - samples/sec: 17128.23 - lr: 0.100000 2023-04-05 22:39:05,033 epoch 4 - iter 795/2650 - loss 0.25926388 - time (sec): 25.86 - samples/sec: 17146.40 - lr: 0.100000 2023-04-05 22:39:13,617 epoch 4 - iter 1060/2650 - loss 0.25587629 - time (sec): 34.45 - samples/sec: 17151.47 - lr: 0.100000 2023-04-05 22:39:22,257 epoch 4 - iter 1325/2650 - loss 0.25564479 - time (sec): 43.09 - samples/sec: 17141.33 - lr: 0.100000 2023-04-05 22:39:30,911 epoch 4 - iter 1590/2650 - loss 0.25509381 - time (sec): 51.74 - samples/sec: 17139.89 - lr: 0.100000 2023-04-05 22:39:39,408 epoch 4 - iter 1855/2650 - loss 0.25378053 - time (sec): 60.24 - samples/sec: 17144.19 - lr: 0.100000 2023-04-05 22:39:48,008 epoch 4 - iter 2120/2650 - loss 0.25339510 - time (sec): 68.84 - samples/sec: 17139.00 - lr: 0.100000 2023-04-05 22:39:56,770 epoch 4 - iter 2385/2650 - loss 0.25231214 - time (sec): 77.60 - samples/sec: 17124.26 - lr: 0.100000 2023-04-05 22:40:05,242 epoch 4 - iter 2650/2650 - loss 0.25114362 - time (sec): 86.07 - samples/sec: 17123.53 - lr: 0.100000 2023-04-05 22:40:05,242 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:40:05,242 EPOCH 4 done: loss 0.2511 - lr 0.100000 2023-04-05 22:40:05,242 BAD EPOCHS (no improvement): 0 2023-04-05 22:40:05,246 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:40:13,716 epoch 5 - iter 265/2650 - loss 0.23912119 - time (sec): 8.47 - samples/sec: 17220.08 - lr: 0.100000 2023-04-05 22:40:22,236 epoch 5 - iter 530/2650 - loss 0.23612943 - time (sec): 16.99 - samples/sec: 17242.09 - lr: 0.100000 2023-04-05 22:40:30,874 epoch 5 - iter 795/2650 - loss 0.23514276 - time (sec): 25.63 - samples/sec: 17195.33 - lr: 0.100000 2023-04-05 22:40:39,429 epoch 5 - iter 1060/2650 - loss 0.23387189 - time (sec): 34.18 - samples/sec: 17185.70 - lr: 0.100000 2023-04-05 22:40:51,844 epoch 5 - iter 1325/2650 - loss 0.23393027 - time (sec): 46.60 - samples/sec: 15780.86 - lr: 0.100000 2023-04-05 22:41:00,390 epoch 5 - iter 1590/2650 - loss 0.23387672 - time (sec): 55.14 - samples/sec: 16016.20 - lr: 0.100000 2023-04-05 22:41:09,037 epoch 5 - iter 1855/2650 - loss 0.23324367 - time (sec): 63.79 - samples/sec: 16178.11 - lr: 0.100000 2023-04-05 22:41:17,650 epoch 5 - iter 2120/2650 - loss 0.23255760 - time (sec): 72.40 - samples/sec: 16285.11 - lr: 0.100000 2023-04-05 22:41:26,254 epoch 5 - iter 2385/2650 - loss 0.23166331 - time (sec): 81.01 - samples/sec: 16372.08 - lr: 0.100000 2023-04-05 22:41:34,955 epoch 5 - iter 2650/2650 - loss 0.23117349 - time (sec): 89.71 - samples/sec: 16429.04 - lr: 0.100000 2023-04-05 22:41:34,955 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:41:34,955 EPOCH 5 done: loss 0.2312 - lr 0.100000 2023-04-05 22:41:34,955 BAD EPOCHS (no improvement): 0 2023-04-05 22:41:34,960 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:41:43,403 epoch 6 - iter 265/2650 - loss 0.21970814 - time (sec): 8.44 - samples/sec: 17189.39 - lr: 0.100000 2023-04-05 22:41:51,868 epoch 6 - iter 530/2650 - loss 0.21904332 - time (sec): 16.91 - samples/sec: 17182.41 - lr: 0.100000 2023-04-05 22:42:00,500 epoch 6 - iter 795/2650 - loss 0.21961238 - time (sec): 25.54 - samples/sec: 17161.26 - lr: 0.100000 2023-04-05 22:42:09,120 epoch 6 - iter 1060/2650 - loss 0.21982148 - time (sec): 34.16 - samples/sec: 17155.98 - lr: 0.100000 2023-04-05 22:42:17,767 epoch 6 - iter 1325/2650 - loss 0.21881650 - time (sec): 42.81 - samples/sec: 17172.03 - lr: 0.100000 2023-04-05 22:42:26,305 epoch 6 - iter 1590/2650 - loss 0.21791045 - time (sec): 51.34 - samples/sec: 17192.73 - lr: 0.100000 2023-04-05 22:42:34,891 epoch 6 - iter 1855/2650 - loss 0.21705030 - time (sec): 59.93 - samples/sec: 17200.68 - lr: 0.100000 2023-04-05 22:42:43,474 epoch 6 - iter 2120/2650 - loss 0.21669456 - time (sec): 68.51 - samples/sec: 17188.43 - lr: 0.100000 2023-04-05 22:42:52,063 epoch 6 - iter 2385/2650 - loss 0.21673848 - time (sec): 77.10 - samples/sec: 17195.54 - lr: 0.100000 2023-04-05 22:43:00,746 epoch 6 - iter 2650/2650 - loss 0.21602253 - time (sec): 85.79 - samples/sec: 17180.13 - lr: 0.100000 2023-04-05 22:43:00,747 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:43:00,747 EPOCH 6 done: loss 0.2160 - lr 0.100000 2023-04-05 22:43:00,747 BAD EPOCHS (no improvement): 0 2023-04-05 22:43:00,750 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:43:09,444 epoch 7 - iter 265/2650 - loss 0.20674917 - time (sec): 8.69 - samples/sec: 17178.83 - lr: 0.100000 2023-04-05 22:43:17,953 epoch 7 - iter 530/2650 - loss 0.20706333 - time (sec): 17.20 - samples/sec: 17189.80 - lr: 0.100000 2023-04-05 22:43:26,493 epoch 7 - iter 795/2650 - loss 0.20761500 - time (sec): 25.74 - samples/sec: 17238.48 - lr: 0.100000 2023-04-05 22:43:35,005 epoch 7 - iter 1060/2650 - loss 0.20672667 - time (sec): 34.26 - samples/sec: 17220.51 - lr: 0.100000 2023-04-05 22:43:43,405 epoch 7 - iter 1325/2650 - loss 0.20602373 - time (sec): 42.65 - samples/sec: 17209.62 - lr: 0.100000 2023-04-05 22:43:51,926 epoch 7 - iter 1590/2650 - loss 0.20616252 - time (sec): 51.18 - samples/sec: 17211.32 - lr: 0.100000 2023-04-05 22:44:00,534 epoch 7 - iter 1855/2650 - loss 0.20568643 - time (sec): 59.78 - samples/sec: 17219.75 - lr: 0.100000 2023-04-05 22:44:09,182 epoch 7 - iter 2120/2650 - loss 0.20551869 - time (sec): 68.43 - samples/sec: 17212.09 - lr: 0.100000 2023-04-05 22:44:17,834 epoch 7 - iter 2385/2650 - loss 0.20529618 - time (sec): 77.08 - samples/sec: 17202.50 - lr: 0.100000 2023-04-05 22:44:26,401 epoch 7 - iter 2650/2650 - loss 0.20519561 - time (sec): 85.65 - samples/sec: 17207.29 - lr: 0.100000 2023-04-05 22:44:26,402 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:44:26,402 EPOCH 7 done: loss 0.2052 - lr 0.100000 2023-04-05 22:44:26,402 BAD EPOCHS (no improvement): 0 2023-04-05 22:44:26,405 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:44:35,012 epoch 8 - iter 265/2650 - loss 0.19332619 - time (sec): 8.61 - samples/sec: 17156.84 - lr: 0.100000 2023-04-05 22:44:43,508 epoch 8 - iter 530/2650 - loss 0.19560437 - time (sec): 17.10 - samples/sec: 17164.54 - lr: 0.100000 2023-04-05 22:44:52,019 epoch 8 - iter 795/2650 - loss 0.19730817 - time (sec): 25.61 - samples/sec: 17169.19 - lr: 0.100000 2023-04-05 22:45:00,443 epoch 8 - iter 1060/2650 - loss 0.19729206 - time (sec): 34.04 - samples/sec: 17185.62 - lr: 0.100000 2023-04-05 22:45:09,121 epoch 8 - iter 1325/2650 - loss 0.19719935 - time (sec): 42.72 - samples/sec: 17212.59 - lr: 0.100000 2023-04-05 22:45:17,654 epoch 8 - iter 1590/2650 - loss 0.19700874 - time (sec): 51.25 - samples/sec: 17206.29 - lr: 0.100000 2023-04-05 22:45:26,306 epoch 8 - iter 1855/2650 - loss 0.19639540 - time (sec): 59.90 - samples/sec: 17197.77 - lr: 0.100000 2023-04-05 22:45:34,823 epoch 8 - iter 2120/2650 - loss 0.19606844 - time (sec): 68.42 - samples/sec: 17199.99 - lr: 0.100000 2023-04-05 22:45:43,371 epoch 8 - iter 2385/2650 - loss 0.19570414 - time (sec): 76.97 - samples/sec: 17198.89 - lr: 0.100000 2023-04-05 22:45:52,111 epoch 8 - iter 2650/2650 - loss 0.19606535 - time (sec): 85.71 - samples/sec: 17196.28 - lr: 0.100000 2023-04-05 22:45:52,112 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:45:52,112 EPOCH 8 done: loss 0.1961 - lr 0.100000 2023-04-05 22:45:52,112 BAD EPOCHS (no improvement): 0 2023-04-05 22:45:52,116 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:46:00,637 epoch 9 - iter 265/2650 - loss 0.19100394 - time (sec): 8.52 - samples/sec: 17142.74 - lr: 0.100000 2023-04-05 22:46:09,229 epoch 9 - iter 530/2650 - loss 0.19068282 - time (sec): 17.11 - samples/sec: 17182.06 - lr: 0.100000 2023-04-05 22:46:17,771 epoch 9 - iter 795/2650 - loss 0.19030121 - time (sec): 25.66 - samples/sec: 17143.25 - lr: 0.100000 2023-04-05 22:46:26,413 epoch 9 - iter 1060/2650 - loss 0.19120919 - time (sec): 34.30 - samples/sec: 17126.19 - lr: 0.100000 2023-04-05 22:46:35,120 epoch 9 - iter 1325/2650 - loss 0.19010394 - time (sec): 43.00 - samples/sec: 17116.41 - lr: 0.100000 2023-04-05 22:46:43,787 epoch 9 - iter 1590/2650 - loss 0.19029048 - time (sec): 51.67 - samples/sec: 17128.27 - lr: 0.100000 2023-04-05 22:46:52,417 epoch 9 - iter 1855/2650 - loss 0.19029875 - time (sec): 60.30 - samples/sec: 17126.52 - lr: 0.100000 2023-04-05 22:47:01,010 epoch 9 - iter 2120/2650 - loss 0.18988302 - time (sec): 68.89 - samples/sec: 17118.76 - lr: 0.100000 2023-04-05 22:47:09,593 epoch 9 - iter 2385/2650 - loss 0.18930895 - time (sec): 77.48 - samples/sec: 17129.20 - lr: 0.100000 2023-04-05 22:47:18,166 epoch 9 - iter 2650/2650 - loss 0.18937376 - time (sec): 86.05 - samples/sec: 17127.48 - lr: 0.100000 2023-04-05 22:47:18,166 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:47:18,166 EPOCH 9 done: loss 0.1894 - lr 0.100000 2023-04-05 22:47:18,166 BAD EPOCHS (no improvement): 0 2023-04-05 22:47:18,170 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:47:26,767 epoch 10 - iter 265/2650 - loss 0.18493531 - time (sec): 8.60 - samples/sec: 17149.80 - lr: 0.100000 2023-04-05 22:47:35,360 epoch 10 - iter 530/2650 - loss 0.18261513 - time (sec): 17.19 - samples/sec: 17079.00 - lr: 0.100000 2023-04-05 22:47:43,914 epoch 10 - iter 795/2650 - loss 0.18333437 - time (sec): 25.74 - samples/sec: 17124.10 - lr: 0.100000 2023-04-05 22:47:52,479 epoch 10 - iter 1060/2650 - loss 0.18312335 - time (sec): 34.31 - samples/sec: 17140.46 - lr: 0.100000 2023-04-05 22:48:01,170 epoch 10 - iter 1325/2650 - loss 0.18404645 - time (sec): 43.00 - samples/sec: 17119.51 - lr: 0.100000 2023-04-05 22:48:09,700 epoch 10 - iter 1590/2650 - loss 0.18384927 - time (sec): 51.53 - samples/sec: 17116.22 - lr: 0.100000 2023-04-05 22:48:18,263 epoch 10 - iter 1855/2650 - loss 0.18391141 - time (sec): 60.09 - samples/sec: 17119.00 - lr: 0.100000 2023-04-05 22:48:26,876 epoch 10 - iter 2120/2650 - loss 0.18336861 - time (sec): 68.71 - samples/sec: 17126.18 - lr: 0.100000 2023-04-05 22:48:35,598 epoch 10 - iter 2385/2650 - loss 0.18362234 - time (sec): 77.43 - samples/sec: 17117.19 - lr: 0.100000 2023-04-05 22:48:44,279 epoch 10 - iter 2650/2650 - loss 0.18404671 - time (sec): 86.11 - samples/sec: 17115.80 - lr: 0.100000 2023-04-05 22:48:44,280 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:48:44,280 EPOCH 10 done: loss 0.1840 - lr 0.100000 2023-04-05 22:48:44,280 BAD EPOCHS (no improvement): 0 2023-04-05 22:48:44,284 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:48:52,826 epoch 11 - iter 265/2650 - loss 0.17521443 - time (sec): 8.54 - samples/sec: 17204.33 - lr: 0.100000 2023-04-05 22:49:01,461 epoch 11 - iter 530/2650 - loss 0.17790395 - time (sec): 17.18 - samples/sec: 17164.39 - lr: 0.100000 2023-04-05 22:49:10,050 epoch 11 - iter 795/2650 - loss 0.17826542 - time (sec): 25.77 - samples/sec: 17154.46 - lr: 0.100000 2023-04-05 22:49:18,654 epoch 11 - iter 1060/2650 - loss 0.17865080 - time (sec): 34.37 - samples/sec: 17157.74 - lr: 0.100000 2023-04-05 22:49:27,212 epoch 11 - iter 1325/2650 - loss 0.17876708 - time (sec): 42.93 - samples/sec: 17158.17 - lr: 0.100000 2023-04-05 22:49:35,705 epoch 11 - iter 1590/2650 - loss 0.17879406 - time (sec): 51.42 - samples/sec: 17158.87 - lr: 0.100000 2023-04-05 22:49:48,297 epoch 11 - iter 1855/2650 - loss 0.17913300 - time (sec): 64.01 - samples/sec: 16099.96 - lr: 0.100000 2023-04-05 22:49:56,763 epoch 11 - iter 2120/2650 - loss 0.17884163 - time (sec): 72.48 - samples/sec: 16242.37 - lr: 0.100000 2023-04-05 22:50:05,367 epoch 11 - iter 2385/2650 - loss 0.17845614 - time (sec): 81.08 - samples/sec: 16342.10 - lr: 0.100000 2023-04-05 22:50:14,065 epoch 11 - iter 2650/2650 - loss 0.17826203 - time (sec): 89.78 - samples/sec: 16415.83 - lr: 0.100000 2023-04-05 22:50:14,065 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:50:14,065 EPOCH 11 done: loss 0.1783 - lr 0.100000 2023-04-05 22:50:14,065 BAD EPOCHS (no improvement): 0 2023-04-05 22:50:14,069 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:50:22,724 epoch 12 - iter 265/2650 - loss 0.16988696 - time (sec): 8.66 - samples/sec: 17128.96 - lr: 0.100000 2023-04-05 22:50:31,302 epoch 12 - iter 530/2650 - loss 0.17123754 - time (sec): 17.23 - samples/sec: 17158.24 - lr: 0.100000 2023-04-05 22:50:39,865 epoch 12 - iter 795/2650 - loss 0.17155524 - time (sec): 25.80 - samples/sec: 17138.46 - lr: 0.100000 2023-04-05 22:50:48,534 epoch 12 - iter 1060/2650 - loss 0.17183605 - time (sec): 34.46 - samples/sec: 17129.99 - lr: 0.100000 2023-04-05 22:50:57,125 epoch 12 - iter 1325/2650 - loss 0.17238160 - time (sec): 43.06 - samples/sec: 17125.85 - lr: 0.100000 2023-04-05 22:51:05,784 epoch 12 - iter 1590/2650 - loss 0.17238463 - time (sec): 51.72 - samples/sec: 17130.40 - lr: 0.100000 2023-04-05 22:51:14,355 epoch 12 - iter 1855/2650 - loss 0.17255376 - time (sec): 60.29 - samples/sec: 17135.43 - lr: 0.100000 2023-04-05 22:51:22,942 epoch 12 - iter 2120/2650 - loss 0.17262790 - time (sec): 68.87 - samples/sec: 17137.78 - lr: 0.100000 2023-04-05 22:51:31,431 epoch 12 - iter 2385/2650 - loss 0.17248471 - time (sec): 77.36 - samples/sec: 17144.56 - lr: 0.100000 2023-04-05 22:51:40,022 epoch 12 - iter 2650/2650 - loss 0.17257517 - time (sec): 85.95 - samples/sec: 17146.93 - lr: 0.100000 2023-04-05 22:51:40,022 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:51:40,022 EPOCH 12 done: loss 0.1726 - lr 0.100000 2023-04-05 22:51:40,022 BAD EPOCHS (no improvement): 0 2023-04-05 22:51:40,026 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:51:48,543 epoch 13 - iter 265/2650 - loss 0.17092826 - time (sec): 8.52 - samples/sec: 17178.53 - lr: 0.100000 2023-04-05 22:51:57,271 epoch 13 - iter 530/2650 - loss 0.16950360 - time (sec): 17.24 - samples/sec: 17127.48 - lr: 0.100000 2023-04-05 22:52:05,874 epoch 13 - iter 795/2650 - loss 0.17070258 - time (sec): 25.85 - samples/sec: 17128.67 - lr: 0.100000 2023-04-05 22:52:14,691 epoch 13 - iter 1060/2650 - loss 0.16978445 - time (sec): 34.66 - samples/sec: 17111.42 - lr: 0.100000 2023-04-05 22:52:23,340 epoch 13 - iter 1325/2650 - loss 0.17003802 - time (sec): 43.31 - samples/sec: 17109.57 - lr: 0.100000 2023-04-05 22:52:31,930 epoch 13 - iter 1590/2650 - loss 0.16953513 - time (sec): 51.90 - samples/sec: 17093.53 - lr: 0.100000 2023-04-05 22:52:40,555 epoch 13 - iter 1855/2650 - loss 0.17049912 - time (sec): 60.53 - samples/sec: 17058.91 - lr: 0.100000 2023-04-05 22:52:49,160 epoch 13 - iter 2120/2650 - loss 0.17074582 - time (sec): 69.13 - samples/sec: 17057.79 - lr: 0.100000 2023-04-05 22:52:57,858 epoch 13 - iter 2385/2650 - loss 0.17049547 - time (sec): 77.83 - samples/sec: 17043.65 - lr: 0.100000 2023-04-05 22:53:06,511 epoch 13 - iter 2650/2650 - loss 0.17004090 - time (sec): 86.48 - samples/sec: 17041.48 - lr: 0.100000 2023-04-05 22:53:06,511 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:53:06,511 EPOCH 13 done: loss 0.1700 - lr 0.100000 2023-04-05 22:53:06,511 BAD EPOCHS (no improvement): 0 2023-04-05 22:53:06,514 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:53:15,175 epoch 14 - iter 265/2650 - loss 0.16573172 - time (sec): 8.66 - samples/sec: 17110.71 - lr: 0.100000 2023-04-05 22:53:23,691 epoch 14 - iter 530/2650 - loss 0.16734269 - time (sec): 17.18 - samples/sec: 17103.51 - lr: 0.100000 2023-04-05 22:53:32,205 epoch 14 - iter 795/2650 - loss 0.16649833 - time (sec): 25.69 - samples/sec: 17086.30 - lr: 0.100000 2023-04-05 22:53:40,806 epoch 14 - iter 1060/2650 - loss 0.16684412 - time (sec): 34.29 - samples/sec: 17084.76 - lr: 0.100000 2023-04-05 22:53:49,352 epoch 14 - iter 1325/2650 - loss 0.16749006 - time (sec): 42.84 - samples/sec: 17089.88 - lr: 0.100000 2023-04-05 22:53:57,952 epoch 14 - iter 1590/2650 - loss 0.16742827 - time (sec): 51.44 - samples/sec: 17087.38 - lr: 0.100000 2023-04-05 22:54:06,765 epoch 14 - iter 1855/2650 - loss 0.16762084 - time (sec): 60.25 - samples/sec: 17066.73 - lr: 0.100000 2023-04-05 22:54:15,476 epoch 14 - iter 2120/2650 - loss 0.16745524 - time (sec): 68.96 - samples/sec: 17069.67 - lr: 0.100000 2023-04-05 22:54:24,157 epoch 14 - iter 2385/2650 - loss 0.16749265 - time (sec): 77.64 - samples/sec: 17066.39 - lr: 0.100000 2023-04-05 22:54:32,924 epoch 14 - iter 2650/2650 - loss 0.16745122 - time (sec): 86.41 - samples/sec: 17056.21 - lr: 0.100000 2023-04-05 22:54:32,924 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:54:32,924 EPOCH 14 done: loss 0.1675 - lr 0.100000 2023-04-05 22:54:32,924 BAD EPOCHS (no improvement): 0 2023-04-05 22:54:32,928 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:54:41,473 epoch 15 - iter 265/2650 - loss 0.16058355 - time (sec): 8.54 - samples/sec: 17098.34 - lr: 0.100000 2023-04-05 22:54:50,154 epoch 15 - iter 530/2650 - loss 0.16232774 - time (sec): 17.23 - samples/sec: 17103.84 - lr: 0.100000 2023-04-05 22:54:58,816 epoch 15 - iter 795/2650 - loss 0.16334735 - time (sec): 25.89 - samples/sec: 17088.94 - lr: 0.100000 2023-04-05 22:55:07,501 epoch 15 - iter 1060/2650 - loss 0.16234137 - time (sec): 34.57 - samples/sec: 17063.95 - lr: 0.100000 2023-04-05 22:55:16,064 epoch 15 - iter 1325/2650 - loss 0.16266131 - time (sec): 43.14 - samples/sec: 17061.23 - lr: 0.100000 2023-04-05 22:55:24,671 epoch 15 - iter 1590/2650 - loss 0.16249113 - time (sec): 51.74 - samples/sec: 17053.55 - lr: 0.100000 2023-04-05 22:55:33,343 epoch 15 - iter 1855/2650 - loss 0.16231289 - time (sec): 60.41 - samples/sec: 17054.49 - lr: 0.100000 2023-04-05 22:55:42,087 epoch 15 - iter 2120/2650 - loss 0.16253769 - time (sec): 69.16 - samples/sec: 17040.34 - lr: 0.100000 2023-04-05 22:55:50,624 epoch 15 - iter 2385/2650 - loss 0.16260896 - time (sec): 77.70 - samples/sec: 17045.90 - lr: 0.100000 2023-04-05 22:55:59,388 epoch 15 - iter 2650/2650 - loss 0.16269575 - time (sec): 86.46 - samples/sec: 17046.24 - lr: 0.100000 2023-04-05 22:55:59,388 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:55:59,388 EPOCH 15 done: loss 0.1627 - lr 0.100000 2023-04-05 22:55:59,388 BAD EPOCHS (no improvement): 0 2023-04-05 22:55:59,391 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:56:07,995 epoch 16 - iter 265/2650 - loss 0.15623853 - time (sec): 8.60 - samples/sec: 17226.78 - lr: 0.100000 2023-04-05 22:56:16,625 epoch 16 - iter 530/2650 - loss 0.15720910 - time (sec): 17.23 - samples/sec: 17132.40 - lr: 0.100000 2023-04-05 22:56:25,210 epoch 16 - iter 795/2650 - loss 0.15791418 - time (sec): 25.82 - samples/sec: 17149.26 - lr: 0.100000 2023-04-05 22:56:33,822 epoch 16 - iter 1060/2650 - loss 0.15809383 - time (sec): 34.43 - samples/sec: 17154.45 - lr: 0.100000 2023-04-05 22:56:42,465 epoch 16 - iter 1325/2650 - loss 0.15943621 - time (sec): 43.07 - samples/sec: 17135.66 - lr: 0.100000 2023-04-05 22:56:51,109 epoch 16 - iter 1590/2650 - loss 0.15974738 - time (sec): 51.72 - samples/sec: 17116.18 - lr: 0.100000 2023-04-05 22:56:59,752 epoch 16 - iter 1855/2650 - loss 0.15994564 - time (sec): 60.36 - samples/sec: 17105.84 - lr: 0.100000 2023-04-05 22:57:08,299 epoch 16 - iter 2120/2650 - loss 0.15965417 - time (sec): 68.91 - samples/sec: 17106.86 - lr: 0.100000 2023-04-05 22:57:16,915 epoch 16 - iter 2385/2650 - loss 0.15956073 - time (sec): 77.52 - samples/sec: 17101.43 - lr: 0.100000 2023-04-05 22:57:25,599 epoch 16 - iter 2650/2650 - loss 0.15969866 - time (sec): 86.21 - samples/sec: 17096.01 - lr: 0.100000 2023-04-05 22:57:25,600 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:57:25,600 EPOCH 16 done: loss 0.1597 - lr 0.100000 2023-04-05 22:57:25,600 BAD EPOCHS (no improvement): 0 2023-04-05 22:57:25,603 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:57:34,187 epoch 17 - iter 265/2650 - loss 0.15397390 - time (sec): 8.58 - samples/sec: 17196.97 - lr: 0.100000 2023-04-05 22:57:42,961 epoch 17 - iter 530/2650 - loss 0.15720828 - time (sec): 17.36 - samples/sec: 17140.47 - lr: 0.100000 2023-04-05 22:57:51,655 epoch 17 - iter 795/2650 - loss 0.15665706 - time (sec): 26.05 - samples/sec: 17108.65 - lr: 0.100000 2023-04-05 22:58:00,242 epoch 17 - iter 1060/2650 - loss 0.15726085 - time (sec): 34.64 - samples/sec: 17097.11 - lr: 0.100000 2023-04-05 22:58:08,822 epoch 17 - iter 1325/2650 - loss 0.15740783 - time (sec): 43.22 - samples/sec: 17108.64 - lr: 0.100000 2023-04-05 22:58:17,330 epoch 17 - iter 1590/2650 - loss 0.15740888 - time (sec): 51.73 - samples/sec: 17107.05 - lr: 0.100000 2023-04-05 22:58:25,881 epoch 17 - iter 1855/2650 - loss 0.15745905 - time (sec): 60.28 - samples/sec: 17087.45 - lr: 0.100000 2023-04-05 22:58:38,278 epoch 17 - iter 2120/2650 - loss 0.15707288 - time (sec): 72.67 - samples/sec: 16191.53 - lr: 0.100000 2023-04-05 22:58:46,846 epoch 17 - iter 2385/2650 - loss 0.15703496 - time (sec): 81.24 - samples/sec: 16307.43 - lr: 0.100000 2023-04-05 22:58:55,495 epoch 17 - iter 2650/2650 - loss 0.15709127 - time (sec): 89.89 - samples/sec: 16395.49 - lr: 0.100000 2023-04-05 22:58:55,495 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:58:55,495 EPOCH 17 done: loss 0.1571 - lr 0.100000 2023-04-05 22:58:55,495 BAD EPOCHS (no improvement): 0 2023-04-05 22:58:55,499 ---------------------------------------------------------------------------------------------------- 2023-04-05 22:59:04,011 epoch 18 - iter 265/2650 - loss 0.15364505 - time (sec): 8.51 - samples/sec: 17219.18 - lr: 0.100000 2023-04-05 22:59:12,553 epoch 18 - iter 530/2650 - loss 0.15534684 - time (sec): 17.05 - samples/sec: 17192.78 - lr: 0.100000 2023-04-05 22:59:21,096 epoch 18 - iter 795/2650 - loss 0.15558492 - time (sec): 25.60 - samples/sec: 17156.58 - lr: 0.100000 2023-04-05 22:59:29,696 epoch 18 - iter 1060/2650 - loss 0.15631711 - time (sec): 34.20 - samples/sec: 17142.12 - lr: 0.100000 2023-04-05 22:59:38,407 epoch 18 - iter 1325/2650 - loss 0.15533277 - time (sec): 42.91 - samples/sec: 17137.01 - lr: 0.100000 2023-04-05 22:59:47,017 epoch 18 - iter 1590/2650 - loss 0.15506231 - time (sec): 51.52 - samples/sec: 17135.13 - lr: 0.100000 2023-04-05 22:59:55,641 epoch 18 - iter 1855/2650 - loss 0.15538811 - time (sec): 60.14 - samples/sec: 17132.54 - lr: 0.100000 2023-04-05 23:00:04,344 epoch 18 - iter 2120/2650 - loss 0.15498697 - time (sec): 68.84 - samples/sec: 17123.81 - lr: 0.100000 2023-04-05 23:00:13,043 epoch 18 - iter 2385/2650 - loss 0.15494986 - time (sec): 77.54 - samples/sec: 17108.36 - lr: 0.100000 2023-04-05 23:00:21,778 epoch 18 - iter 2650/2650 - loss 0.15503562 - time (sec): 86.28 - samples/sec: 17082.11 - lr: 0.100000 2023-04-05 23:00:21,778 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:00:21,778 EPOCH 18 done: loss 0.1550 - lr 0.100000 2023-04-05 23:00:21,778 BAD EPOCHS (no improvement): 0 2023-04-05 23:00:21,782 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:00:30,540 epoch 19 - iter 265/2650 - loss 0.15440847 - time (sec): 8.76 - samples/sec: 16884.22 - lr: 0.100000 2023-04-05 23:00:39,227 epoch 19 - iter 530/2650 - loss 0.15114582 - time (sec): 17.44 - samples/sec: 16971.29 - lr: 0.100000 2023-04-05 23:00:47,836 epoch 19 - iter 795/2650 - loss 0.15153549 - time (sec): 26.05 - samples/sec: 17044.02 - lr: 0.100000 2023-04-05 23:00:56,458 epoch 19 - iter 1060/2650 - loss 0.15147609 - time (sec): 34.68 - samples/sec: 17053.45 - lr: 0.100000 2023-04-05 23:01:05,131 epoch 19 - iter 1325/2650 - loss 0.15256994 - time (sec): 43.35 - samples/sec: 17070.82 - lr: 0.100000 2023-04-05 23:01:13,551 epoch 19 - iter 1590/2650 - loss 0.15303369 - time (sec): 51.77 - samples/sec: 17080.67 - lr: 0.100000 2023-04-05 23:01:22,002 epoch 19 - iter 1855/2650 - loss 0.15292118 - time (sec): 60.22 - samples/sec: 17104.92 - lr: 0.100000 2023-04-05 23:01:30,589 epoch 19 - iter 2120/2650 - loss 0.15281326 - time (sec): 68.81 - samples/sec: 17104.24 - lr: 0.100000 2023-04-05 23:01:39,339 epoch 19 - iter 2385/2650 - loss 0.15273719 - time (sec): 77.56 - samples/sec: 17079.01 - lr: 0.100000 2023-04-05 23:01:48,207 epoch 19 - iter 2650/2650 - loss 0.15270262 - time (sec): 86.42 - samples/sec: 17053.32 - lr: 0.100000 2023-04-05 23:01:48,207 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:01:48,207 EPOCH 19 done: loss 0.1527 - lr 0.100000 2023-04-05 23:01:48,207 BAD EPOCHS (no improvement): 0 2023-04-05 23:01:48,210 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:01:56,937 epoch 20 - iter 265/2650 - loss 0.15131037 - time (sec): 8.73 - samples/sec: 16779.50 - lr: 0.100000 2023-04-05 23:02:05,606 epoch 20 - iter 530/2650 - loss 0.15178153 - time (sec): 17.40 - samples/sec: 16969.56 - lr: 0.100000 2023-04-05 23:02:14,207 epoch 20 - iter 795/2650 - loss 0.15201148 - time (sec): 26.00 - samples/sec: 16981.52 - lr: 0.100000 2023-04-05 23:02:22,779 epoch 20 - iter 1060/2650 - loss 0.15117567 - time (sec): 34.57 - samples/sec: 17014.02 - lr: 0.100000 2023-04-05 23:02:31,349 epoch 20 - iter 1325/2650 - loss 0.15108410 - time (sec): 43.14 - samples/sec: 17039.45 - lr: 0.100000 2023-04-05 23:02:39,969 epoch 20 - iter 1590/2650 - loss 0.15101399 - time (sec): 51.76 - samples/sec: 17051.07 - lr: 0.100000 2023-04-05 23:02:48,634 epoch 20 - iter 1855/2650 - loss 0.15140791 - time (sec): 60.42 - samples/sec: 17033.13 - lr: 0.100000 2023-04-05 23:02:57,260 epoch 20 - iter 2120/2650 - loss 0.15122852 - time (sec): 69.05 - samples/sec: 17038.82 - lr: 0.100000 2023-04-05 23:03:05,875 epoch 20 - iter 2385/2650 - loss 0.15095873 - time (sec): 77.66 - samples/sec: 17057.20 - lr: 0.100000 2023-04-05 23:03:14,544 epoch 20 - iter 2650/2650 - loss 0.15109411 - time (sec): 86.33 - samples/sec: 17071.27 - lr: 0.100000 2023-04-05 23:03:14,544 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:03:14,544 EPOCH 20 done: loss 0.1511 - lr 0.100000 2023-04-05 23:03:14,544 BAD EPOCHS (no improvement): 0 2023-04-05 23:03:14,547 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:03:23,270 epoch 21 - iter 265/2650 - loss 0.14715711 - time (sec): 8.72 - samples/sec: 17001.56 - lr: 0.100000 2023-04-05 23:03:31,791 epoch 21 - iter 530/2650 - loss 0.14666947 - time (sec): 17.24 - samples/sec: 17078.56 - lr: 0.100000 2023-04-05 23:03:40,457 epoch 21 - iter 795/2650 - loss 0.14699870 - time (sec): 25.91 - samples/sec: 17079.04 - lr: 0.100000 2023-04-05 23:03:49,001 epoch 21 - iter 1060/2650 - loss 0.14704048 - time (sec): 34.45 - samples/sec: 17064.25 - lr: 0.100000 2023-04-05 23:03:57,700 epoch 21 - iter 1325/2650 - loss 0.14779176 - time (sec): 43.15 - samples/sec: 17053.41 - lr: 0.100000 2023-04-05 23:04:06,407 epoch 21 - iter 1590/2650 - loss 0.14844675 - time (sec): 51.86 - samples/sec: 17058.18 - lr: 0.100000 2023-04-05 23:04:15,013 epoch 21 - iter 1855/2650 - loss 0.14833217 - time (sec): 60.47 - samples/sec: 17053.99 - lr: 0.100000 2023-04-05 23:04:23,641 epoch 21 - iter 2120/2650 - loss 0.14874716 - time (sec): 69.09 - samples/sec: 17049.21 - lr: 0.100000 2023-04-05 23:04:32,459 epoch 21 - iter 2385/2650 - loss 0.14887021 - time (sec): 77.91 - samples/sec: 17042.80 - lr: 0.100000 2023-04-05 23:04:40,996 epoch 21 - iter 2650/2650 - loss 0.14932267 - time (sec): 86.45 - samples/sec: 17048.44 - lr: 0.100000 2023-04-05 23:04:40,996 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:04:40,996 EPOCH 21 done: loss 0.1493 - lr 0.100000 2023-04-05 23:04:40,996 BAD EPOCHS (no improvement): 0 2023-04-05 23:04:41,000 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:04:49,687 epoch 22 - iter 265/2650 - loss 0.14710281 - time (sec): 8.69 - samples/sec: 17111.47 - lr: 0.100000 2023-04-05 23:04:58,330 epoch 22 - iter 530/2650 - loss 0.14864390 - time (sec): 17.33 - samples/sec: 17054.84 - lr: 0.100000 2023-04-05 23:05:07,045 epoch 22 - iter 795/2650 - loss 0.14814704 - time (sec): 26.04 - samples/sec: 17060.70 - lr: 0.100000 2023-04-05 23:05:15,689 epoch 22 - iter 1060/2650 - loss 0.14740376 - time (sec): 34.69 - samples/sec: 17056.78 - lr: 0.100000 2023-04-05 23:05:24,321 epoch 22 - iter 1325/2650 - loss 0.14724052 - time (sec): 43.32 - samples/sec: 17057.26 - lr: 0.100000 2023-04-05 23:05:33,056 epoch 22 - iter 1590/2650 - loss 0.14754899 - time (sec): 52.06 - samples/sec: 17048.71 - lr: 0.100000 2023-04-05 23:05:41,599 epoch 22 - iter 1855/2650 - loss 0.14713340 - time (sec): 60.60 - samples/sec: 17059.43 - lr: 0.100000 2023-04-05 23:05:50,188 epoch 22 - iter 2120/2650 - loss 0.14724924 - time (sec): 69.19 - samples/sec: 17068.78 - lr: 0.100000 2023-04-05 23:05:58,764 epoch 22 - iter 2385/2650 - loss 0.14708146 - time (sec): 77.76 - samples/sec: 17082.09 - lr: 0.100000 2023-04-05 23:06:07,238 epoch 22 - iter 2650/2650 - loss 0.14701825 - time (sec): 86.24 - samples/sec: 17090.15 - lr: 0.100000 2023-04-05 23:06:07,239 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:06:07,239 EPOCH 22 done: loss 0.1470 - lr 0.100000 2023-04-05 23:06:07,239 BAD EPOCHS (no improvement): 0 2023-04-05 23:06:07,242 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:06:15,739 epoch 23 - iter 265/2650 - loss 0.14281885 - time (sec): 8.50 - samples/sec: 17343.11 - lr: 0.100000 2023-04-05 23:06:24,331 epoch 23 - iter 530/2650 - loss 0.14429708 - time (sec): 17.09 - samples/sec: 17254.15 - lr: 0.100000 2023-04-05 23:06:32,953 epoch 23 - iter 795/2650 - loss 0.14410369 - time (sec): 25.71 - samples/sec: 17240.16 - lr: 0.100000 2023-04-05 23:06:41,566 epoch 23 - iter 1060/2650 - loss 0.14402212 - time (sec): 34.32 - samples/sec: 17206.97 - lr: 0.100000 2023-04-05 23:06:50,145 epoch 23 - iter 1325/2650 - loss 0.14528712 - time (sec): 42.90 - samples/sec: 17217.20 - lr: 0.100000 2023-04-05 23:06:58,684 epoch 23 - iter 1590/2650 - loss 0.14506155 - time (sec): 51.44 - samples/sec: 17204.77 - lr: 0.100000 2023-04-05 23:07:07,265 epoch 23 - iter 1855/2650 - loss 0.14498336 - time (sec): 60.02 - samples/sec: 17199.03 - lr: 0.100000 2023-04-05 23:07:15,872 epoch 23 - iter 2120/2650 - loss 0.14523612 - time (sec): 68.63 - samples/sec: 17190.84 - lr: 0.100000 2023-04-05 23:07:24,431 epoch 23 - iter 2385/2650 - loss 0.14546808 - time (sec): 77.19 - samples/sec: 17187.13 - lr: 0.100000 2023-04-05 23:07:37,218 epoch 23 - iter 2650/2650 - loss 0.14571720 - time (sec): 89.98 - samples/sec: 16380.12 - lr: 0.100000 2023-04-05 23:07:37,218 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:07:37,218 EPOCH 23 done: loss 0.1457 - lr 0.100000 2023-04-05 23:07:37,218 BAD EPOCHS (no improvement): 0 2023-04-05 23:07:37,222 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:07:45,896 epoch 24 - iter 265/2650 - loss 0.14191831 - time (sec): 8.67 - samples/sec: 17209.27 - lr: 0.100000 2023-04-05 23:07:54,480 epoch 24 - iter 530/2650 - loss 0.14104291 - time (sec): 17.26 - samples/sec: 17206.55 - lr: 0.100000 2023-04-05 23:08:03,034 epoch 24 - iter 795/2650 - loss 0.14315898 - time (sec): 25.81 - samples/sec: 17171.35 - lr: 0.100000 2023-04-05 23:08:11,540 epoch 24 - iter 1060/2650 - loss 0.14278537 - time (sec): 34.32 - samples/sec: 17150.14 - lr: 0.100000 2023-04-05 23:08:20,190 epoch 24 - iter 1325/2650 - loss 0.14285974 - time (sec): 42.97 - samples/sec: 17128.29 - lr: 0.100000 2023-04-05 23:08:28,863 epoch 24 - iter 1590/2650 - loss 0.14353121 - time (sec): 51.64 - samples/sec: 17128.68 - lr: 0.100000 2023-04-05 23:08:37,452 epoch 24 - iter 1855/2650 - loss 0.14396657 - time (sec): 60.23 - samples/sec: 17122.31 - lr: 0.100000 2023-04-05 23:08:46,038 epoch 24 - iter 2120/2650 - loss 0.14363317 - time (sec): 68.82 - samples/sec: 17116.37 - lr: 0.100000 2023-04-05 23:08:54,740 epoch 24 - iter 2385/2650 - loss 0.14396689 - time (sec): 77.52 - samples/sec: 17104.70 - lr: 0.100000 2023-04-05 23:09:03,372 epoch 24 - iter 2650/2650 - loss 0.14393406 - time (sec): 86.15 - samples/sec: 17107.65 - lr: 0.100000 2023-04-05 23:09:03,372 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:09:03,372 EPOCH 24 done: loss 0.1439 - lr 0.100000 2023-04-05 23:09:03,372 BAD EPOCHS (no improvement): 0 2023-04-05 23:09:03,377 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:09:11,967 epoch 25 - iter 265/2650 - loss 0.14463404 - time (sec): 8.59 - samples/sec: 17162.96 - lr: 0.100000 2023-04-05 23:09:20,500 epoch 25 - iter 530/2650 - loss 0.14377913 - time (sec): 17.12 - samples/sec: 17128.39 - lr: 0.100000 2023-04-05 23:09:29,258 epoch 25 - iter 795/2650 - loss 0.14512817 - time (sec): 25.88 - samples/sec: 17117.71 - lr: 0.100000 2023-04-05 23:09:37,895 epoch 25 - iter 1060/2650 - loss 0.14418514 - time (sec): 34.52 - samples/sec: 17093.35 - lr: 0.100000 2023-04-05 23:09:46,476 epoch 25 - iter 1325/2650 - loss 0.14347857 - time (sec): 43.10 - samples/sec: 17093.43 - lr: 0.100000 2023-04-05 23:09:55,143 epoch 25 - iter 1590/2650 - loss 0.14375573 - time (sec): 51.77 - samples/sec: 17078.22 - lr: 0.100000 2023-04-05 23:10:03,736 epoch 25 - iter 1855/2650 - loss 0.14359287 - time (sec): 60.36 - samples/sec: 17094.68 - lr: 0.100000 2023-04-05 23:10:12,375 epoch 25 - iter 2120/2650 - loss 0.14413400 - time (sec): 69.00 - samples/sec: 17090.61 - lr: 0.100000 2023-04-05 23:10:20,948 epoch 25 - iter 2385/2650 - loss 0.14407545 - time (sec): 77.57 - samples/sec: 17086.69 - lr: 0.100000 2023-04-05 23:10:29,606 epoch 25 - iter 2650/2650 - loss 0.14385276 - time (sec): 86.23 - samples/sec: 17091.88 - lr: 0.100000 2023-04-05 23:10:29,607 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:10:29,607 EPOCH 25 done: loss 0.1439 - lr 0.100000 2023-04-05 23:10:29,607 BAD EPOCHS (no improvement): 0 2023-04-05 23:10:29,610 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:10:38,174 epoch 26 - iter 265/2650 - loss 0.14221208 - time (sec): 8.56 - samples/sec: 17249.75 - lr: 0.100000 2023-04-05 23:10:46,743 epoch 26 - iter 530/2650 - loss 0.14091215 - time (sec): 17.13 - samples/sec: 17211.10 - lr: 0.100000 2023-04-05 23:10:55,302 epoch 26 - iter 795/2650 - loss 0.14133131 - time (sec): 25.69 - samples/sec: 17216.00 - lr: 0.100000 2023-04-05 23:11:03,828 epoch 26 - iter 1060/2650 - loss 0.14089718 - time (sec): 34.22 - samples/sec: 17183.58 - lr: 0.100000 2023-04-05 23:11:12,345 epoch 26 - iter 1325/2650 - loss 0.14118457 - time (sec): 42.73 - samples/sec: 17186.01 - lr: 0.100000 2023-04-05 23:11:20,940 epoch 26 - iter 1590/2650 - loss 0.14134600 - time (sec): 51.33 - samples/sec: 17197.85 - lr: 0.100000 2023-04-05 23:11:29,568 epoch 26 - iter 1855/2650 - loss 0.14116640 - time (sec): 59.96 - samples/sec: 17192.50 - lr: 0.100000 2023-04-05 23:11:38,116 epoch 26 - iter 2120/2650 - loss 0.14146244 - time (sec): 68.51 - samples/sec: 17191.43 - lr: 0.100000 2023-04-05 23:11:46,710 epoch 26 - iter 2385/2650 - loss 0.14166409 - time (sec): 77.10 - samples/sec: 17189.74 - lr: 0.100000 2023-04-05 23:11:55,343 epoch 26 - iter 2650/2650 - loss 0.14190089 - time (sec): 85.73 - samples/sec: 17190.84 - lr: 0.100000 2023-04-05 23:11:55,343 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:11:55,343 EPOCH 26 done: loss 0.1419 - lr 0.100000 2023-04-05 23:11:55,343 BAD EPOCHS (no improvement): 0 2023-04-05 23:11:55,347 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:12:03,977 epoch 27 - iter 265/2650 - loss 0.14151349 - time (sec): 8.63 - samples/sec: 17195.93 - lr: 0.100000 2023-04-05 23:12:12,569 epoch 27 - iter 530/2650 - loss 0.13998434 - time (sec): 17.22 - samples/sec: 17206.03 - lr: 0.100000 2023-04-05 23:12:21,127 epoch 27 - iter 795/2650 - loss 0.14025280 - time (sec): 25.78 - samples/sec: 17211.00 - lr: 0.100000 2023-04-05 23:12:29,719 epoch 27 - iter 1060/2650 - loss 0.14007941 - time (sec): 34.37 - samples/sec: 17207.22 - lr: 0.100000 2023-04-05 23:12:38,246 epoch 27 - iter 1325/2650 - loss 0.14008536 - time (sec): 42.90 - samples/sec: 17189.02 - lr: 0.100000 2023-04-05 23:12:46,766 epoch 27 - iter 1590/2650 - loss 0.14023622 - time (sec): 51.42 - samples/sec: 17190.69 - lr: 0.100000 2023-04-05 23:12:55,268 epoch 27 - iter 1855/2650 - loss 0.14003748 - time (sec): 59.92 - samples/sec: 17187.17 - lr: 0.100000 2023-04-05 23:13:03,844 epoch 27 - iter 2120/2650 - loss 0.14041306 - time (sec): 68.50 - samples/sec: 17178.06 - lr: 0.100000 2023-04-05 23:13:12,499 epoch 27 - iter 2385/2650 - loss 0.14085758 - time (sec): 77.15 - samples/sec: 17175.72 - lr: 0.100000 2023-04-05 23:13:21,124 epoch 27 - iter 2650/2650 - loss 0.14065582 - time (sec): 85.78 - samples/sec: 17182.03 - lr: 0.100000 2023-04-05 23:13:21,125 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:13:21,125 EPOCH 27 done: loss 0.1407 - lr 0.100000 2023-04-05 23:13:21,125 BAD EPOCHS (no improvement): 0 2023-04-05 23:13:21,128 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:13:29,598 epoch 28 - iter 265/2650 - loss 0.14203532 - time (sec): 8.47 - samples/sec: 17286.30 - lr: 0.100000 2023-04-05 23:13:38,155 epoch 28 - iter 530/2650 - loss 0.13978239 - time (sec): 17.03 - samples/sec: 17210.96 - lr: 0.100000 2023-04-05 23:13:46,729 epoch 28 - iter 795/2650 - loss 0.13966018 - time (sec): 25.60 - samples/sec: 17183.42 - lr: 0.100000 2023-04-05 23:13:55,370 epoch 28 - iter 1060/2650 - loss 0.14021980 - time (sec): 34.24 - samples/sec: 17168.83 - lr: 0.100000 2023-04-05 23:14:04,044 epoch 28 - iter 1325/2650 - loss 0.14040344 - time (sec): 42.92 - samples/sec: 17151.71 - lr: 0.100000 2023-04-05 23:14:12,669 epoch 28 - iter 1590/2650 - loss 0.14016213 - time (sec): 51.54 - samples/sec: 17146.83 - lr: 0.100000 2023-04-05 23:14:21,197 epoch 28 - iter 1855/2650 - loss 0.13998218 - time (sec): 60.07 - samples/sec: 17143.94 - lr: 0.100000 2023-04-05 23:14:29,798 epoch 28 - iter 2120/2650 - loss 0.13992861 - time (sec): 68.67 - samples/sec: 17143.13 - lr: 0.100000 2023-04-05 23:14:38,438 epoch 28 - iter 2385/2650 - loss 0.13990984 - time (sec): 77.31 - samples/sec: 17140.25 - lr: 0.100000 2023-04-05 23:14:47,138 epoch 28 - iter 2650/2650 - loss 0.13984803 - time (sec): 86.01 - samples/sec: 17135.47 - lr: 0.100000 2023-04-05 23:14:47,139 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:14:47,139 EPOCH 28 done: loss 0.1398 - lr 0.100000 2023-04-05 23:14:47,139 BAD EPOCHS (no improvement): 0 2023-04-05 23:14:47,141 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:14:55,795 epoch 29 - iter 265/2650 - loss 0.13880163 - time (sec): 8.65 - samples/sec: 17198.22 - lr: 0.100000 2023-04-05 23:15:04,402 epoch 29 - iter 530/2650 - loss 0.13708297 - time (sec): 17.26 - samples/sec: 17222.23 - lr: 0.100000 2023-04-05 23:15:12,906 epoch 29 - iter 795/2650 - loss 0.13695795 - time (sec): 25.76 - samples/sec: 17212.66 - lr: 0.100000 2023-04-05 23:15:21,532 epoch 29 - iter 1060/2650 - loss 0.13689816 - time (sec): 34.39 - samples/sec: 17165.36 - lr: 0.100000 2023-04-05 23:15:30,006 epoch 29 - iter 1325/2650 - loss 0.13637090 - time (sec): 42.86 - samples/sec: 17172.91 - lr: 0.100000 2023-04-05 23:15:38,517 epoch 29 - iter 1590/2650 - loss 0.13680771 - time (sec): 51.38 - samples/sec: 17166.17 - lr: 0.100000 2023-04-05 23:15:47,143 epoch 29 - iter 1855/2650 - loss 0.13763891 - time (sec): 60.00 - samples/sec: 17160.72 - lr: 0.100000 2023-04-05 23:15:55,778 epoch 29 - iter 2120/2650 - loss 0.13767721 - time (sec): 68.64 - samples/sec: 17156.34 - lr: 0.100000 2023-04-05 23:16:04,363 epoch 29 - iter 2385/2650 - loss 0.13784146 - time (sec): 77.22 - samples/sec: 17155.45 - lr: 0.100000 2023-04-05 23:16:13,055 epoch 29 - iter 2650/2650 - loss 0.13779103 - time (sec): 85.91 - samples/sec: 17154.67 - lr: 0.100000 2023-04-05 23:16:13,056 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:16:13,056 EPOCH 29 done: loss 0.1378 - lr 0.100000 2023-04-05 23:16:13,056 BAD EPOCHS (no improvement): 0 2023-04-05 23:16:13,059 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:16:25,581 epoch 30 - iter 265/2650 - loss 0.13627070 - time (sec): 12.52 - samples/sec: 11778.34 - lr: 0.100000 2023-04-05 23:16:33,980 epoch 30 - iter 530/2650 - loss 0.13526315 - time (sec): 20.92 - samples/sec: 14051.24 - lr: 0.100000 2023-04-05 23:16:42,420 epoch 30 - iter 795/2650 - loss 0.13467793 - time (sec): 29.36 - samples/sec: 14983.58 - lr: 0.100000 2023-04-05 23:16:50,966 epoch 30 - iter 1060/2650 - loss 0.13515327 - time (sec): 37.91 - samples/sec: 15491.60 - lr: 0.100000 2023-04-05 23:16:59,583 epoch 30 - iter 1325/2650 - loss 0.13634133 - time (sec): 46.52 - samples/sec: 15810.75 - lr: 0.100000 2023-04-05 23:17:08,108 epoch 30 - iter 1590/2650 - loss 0.13660077 - time (sec): 55.05 - samples/sec: 16024.52 - lr: 0.100000 2023-04-05 23:17:16,807 epoch 30 - iter 1855/2650 - loss 0.13633430 - time (sec): 63.75 - samples/sec: 16191.25 - lr: 0.100000 2023-04-05 23:17:25,389 epoch 30 - iter 2120/2650 - loss 0.13642703 - time (sec): 72.33 - samples/sec: 16306.52 - lr: 0.100000 2023-04-05 23:17:34,079 epoch 30 - iter 2385/2650 - loss 0.13639546 - time (sec): 81.02 - samples/sec: 16385.01 - lr: 0.100000 2023-04-05 23:17:42,599 epoch 30 - iter 2650/2650 - loss 0.13662743 - time (sec): 89.54 - samples/sec: 16459.91 - lr: 0.100000 2023-04-05 23:17:42,599 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:17:42,599 EPOCH 30 done: loss 0.1366 - lr 0.100000 2023-04-05 23:17:42,599 BAD EPOCHS (no improvement): 0 2023-04-05 23:17:42,602 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:17:51,136 epoch 31 - iter 265/2650 - loss 0.13422357 - time (sec): 8.53 - samples/sec: 17258.86 - lr: 0.100000 2023-04-05 23:17:59,653 epoch 31 - iter 530/2650 - loss 0.13395760 - time (sec): 17.05 - samples/sec: 17195.96 - lr: 0.100000 2023-04-05 23:18:08,284 epoch 31 - iter 795/2650 - loss 0.13343743 - time (sec): 25.68 - samples/sec: 17178.47 - lr: 0.100000 2023-04-05 23:18:16,948 epoch 31 - iter 1060/2650 - loss 0.13371689 - time (sec): 34.35 - samples/sec: 17168.10 - lr: 0.100000 2023-04-05 23:18:25,537 epoch 31 - iter 1325/2650 - loss 0.13440581 - time (sec): 42.94 - samples/sec: 17157.41 - lr: 0.100000 2023-04-05 23:18:34,175 epoch 31 - iter 1590/2650 - loss 0.13480382 - time (sec): 51.57 - samples/sec: 17131.84 - lr: 0.100000 2023-04-05 23:18:42,759 epoch 31 - iter 1855/2650 - loss 0.13520003 - time (sec): 60.16 - samples/sec: 17141.85 - lr: 0.100000 2023-04-05 23:18:51,308 epoch 31 - iter 2120/2650 - loss 0.13510366 - time (sec): 68.71 - samples/sec: 17137.67 - lr: 0.100000 2023-04-05 23:18:59,882 epoch 31 - iter 2385/2650 - loss 0.13544195 - time (sec): 77.28 - samples/sec: 17140.65 - lr: 0.100000 2023-04-05 23:19:08,578 epoch 31 - iter 2650/2650 - loss 0.13565194 - time (sec): 85.98 - samples/sec: 17142.42 - lr: 0.100000 2023-04-05 23:19:08,578 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:19:08,578 EPOCH 31 done: loss 0.1357 - lr 0.100000 2023-04-05 23:19:08,578 BAD EPOCHS (no improvement): 0 2023-04-05 23:19:08,581 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:19:17,301 epoch 32 - iter 265/2650 - loss 0.14000733 - time (sec): 8.72 - samples/sec: 17342.33 - lr: 0.100000 2023-04-05 23:19:25,944 epoch 32 - iter 530/2650 - loss 0.13774784 - time (sec): 17.36 - samples/sec: 17221.41 - lr: 0.100000 2023-04-05 23:19:34,567 epoch 32 - iter 795/2650 - loss 0.13649650 - time (sec): 25.99 - samples/sec: 17184.95 - lr: 0.100000 2023-04-05 23:19:43,260 epoch 32 - iter 1060/2650 - loss 0.13636390 - time (sec): 34.68 - samples/sec: 17169.76 - lr: 0.100000 2023-04-05 23:19:51,787 epoch 32 - iter 1325/2650 - loss 0.13587710 - time (sec): 43.21 - samples/sec: 17162.88 - lr: 0.100000 2023-04-05 23:20:00,233 epoch 32 - iter 1590/2650 - loss 0.13560384 - time (sec): 51.65 - samples/sec: 17176.92 - lr: 0.100000 2023-04-05 23:20:08,836 epoch 32 - iter 1855/2650 - loss 0.13559967 - time (sec): 60.25 - samples/sec: 17164.75 - lr: 0.100000 2023-04-05 23:20:17,507 epoch 32 - iter 2120/2650 - loss 0.13547301 - time (sec): 68.93 - samples/sec: 17149.40 - lr: 0.100000 2023-04-05 23:20:26,004 epoch 32 - iter 2385/2650 - loss 0.13532463 - time (sec): 77.42 - samples/sec: 17151.63 - lr: 0.100000 2023-04-05 23:20:34,532 epoch 32 - iter 2650/2650 - loss 0.13518673 - time (sec): 85.95 - samples/sec: 17147.17 - lr: 0.100000 2023-04-05 23:20:34,532 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:20:34,532 EPOCH 32 done: loss 0.1352 - lr 0.100000 2023-04-05 23:20:34,533 BAD EPOCHS (no improvement): 0 2023-04-05 23:20:34,536 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:20:43,143 epoch 33 - iter 265/2650 - loss 0.13123774 - time (sec): 8.61 - samples/sec: 17099.41 - lr: 0.100000 2023-04-05 23:20:51,730 epoch 33 - iter 530/2650 - loss 0.13006271 - time (sec): 17.19 - samples/sec: 17087.35 - lr: 0.100000 2023-04-05 23:21:00,364 epoch 33 - iter 795/2650 - loss 0.13046370 - time (sec): 25.83 - samples/sec: 17073.01 - lr: 0.100000 2023-04-05 23:21:08,941 epoch 33 - iter 1060/2650 - loss 0.13116852 - time (sec): 34.40 - samples/sec: 17084.24 - lr: 0.100000 2023-04-05 23:21:17,613 epoch 33 - iter 1325/2650 - loss 0.13178355 - time (sec): 43.08 - samples/sec: 17060.47 - lr: 0.100000 2023-04-05 23:21:26,262 epoch 33 - iter 1590/2650 - loss 0.13200311 - time (sec): 51.73 - samples/sec: 17068.60 - lr: 0.100000 2023-04-05 23:21:34,860 epoch 33 - iter 1855/2650 - loss 0.13214555 - time (sec): 60.32 - samples/sec: 17075.40 - lr: 0.100000 2023-04-05 23:21:43,559 epoch 33 - iter 2120/2650 - loss 0.13278726 - time (sec): 69.02 - samples/sec: 17071.53 - lr: 0.100000 2023-04-05 23:21:52,224 epoch 33 - iter 2385/2650 - loss 0.13341823 - time (sec): 77.69 - samples/sec: 17065.37 - lr: 0.100000 2023-04-05 23:22:00,894 epoch 33 - iter 2650/2650 - loss 0.13349508 - time (sec): 86.36 - samples/sec: 17066.36 - lr: 0.100000 2023-04-05 23:22:00,895 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:22:00,895 EPOCH 33 done: loss 0.1335 - lr 0.100000 2023-04-05 23:22:00,895 BAD EPOCHS (no improvement): 0 2023-04-05 23:22:00,898 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:22:09,502 epoch 34 - iter 265/2650 - loss 0.13411010 - time (sec): 8.60 - samples/sec: 17064.16 - lr: 0.100000 2023-04-05 23:22:18,007 epoch 34 - iter 530/2650 - loss 0.13258910 - time (sec): 17.11 - samples/sec: 17070.33 - lr: 0.100000 2023-04-05 23:22:26,800 epoch 34 - iter 795/2650 - loss 0.13309666 - time (sec): 25.90 - samples/sec: 17047.00 - lr: 0.100000 2023-04-05 23:22:35,434 epoch 34 - iter 1060/2650 - loss 0.13339215 - time (sec): 34.54 - samples/sec: 17029.69 - lr: 0.100000 2023-04-05 23:22:44,198 epoch 34 - iter 1325/2650 - loss 0.13318909 - time (sec): 43.30 - samples/sec: 17008.18 - lr: 0.100000 2023-04-05 23:22:52,878 epoch 34 - iter 1590/2650 - loss 0.13309044 - time (sec): 51.98 - samples/sec: 17000.67 - lr: 0.100000 2023-04-05 23:23:01,511 epoch 34 - iter 1855/2650 - loss 0.13340994 - time (sec): 60.61 - samples/sec: 16984.97 - lr: 0.100000 2023-04-05 23:23:10,157 epoch 34 - iter 2120/2650 - loss 0.13318280 - time (sec): 69.26 - samples/sec: 16985.89 - lr: 0.100000 2023-04-05 23:23:18,881 epoch 34 - iter 2385/2650 - loss 0.13307494 - time (sec): 77.98 - samples/sec: 16982.48 - lr: 0.100000 2023-04-05 23:23:27,688 epoch 34 - iter 2650/2650 - loss 0.13284336 - time (sec): 86.79 - samples/sec: 16981.58 - lr: 0.100000 2023-04-05 23:23:27,688 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:23:27,688 EPOCH 34 done: loss 0.1328 - lr 0.100000 2023-04-05 23:23:27,688 BAD EPOCHS (no improvement): 0 2023-04-05 23:23:27,692 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:23:36,361 epoch 35 - iter 265/2650 - loss 0.12879546 - time (sec): 8.67 - samples/sec: 17037.48 - lr: 0.100000 2023-04-05 23:23:45,022 epoch 35 - iter 530/2650 - loss 0.13042507 - time (sec): 17.33 - samples/sec: 17030.46 - lr: 0.100000 2023-04-05 23:23:53,720 epoch 35 - iter 795/2650 - loss 0.13186114 - time (sec): 26.03 - samples/sec: 17001.33 - lr: 0.100000 2023-04-05 23:24:02,300 epoch 35 - iter 1060/2650 - loss 0.13151728 - time (sec): 34.61 - samples/sec: 16979.41 - lr: 0.100000 2023-04-05 23:24:10,880 epoch 35 - iter 1325/2650 - loss 0.13169173 - time (sec): 43.19 - samples/sec: 16986.55 - lr: 0.100000 2023-04-05 23:24:19,606 epoch 35 - iter 1590/2650 - loss 0.13161417 - time (sec): 51.91 - samples/sec: 16987.45 - lr: 0.100000 2023-04-05 23:24:28,389 epoch 35 - iter 1855/2650 - loss 0.13208768 - time (sec): 60.70 - samples/sec: 16980.66 - lr: 0.100000 2023-04-05 23:24:37,037 epoch 35 - iter 2120/2650 - loss 0.13215774 - time (sec): 69.34 - samples/sec: 16980.11 - lr: 0.100000 2023-04-05 23:24:45,747 epoch 35 - iter 2385/2650 - loss 0.13202166 - time (sec): 78.05 - samples/sec: 17000.66 - lr: 0.100000 2023-04-05 23:24:54,318 epoch 35 - iter 2650/2650 - loss 0.13239602 - time (sec): 86.63 - samples/sec: 17013.68 - lr: 0.100000 2023-04-05 23:24:54,318 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:24:54,318 EPOCH 35 done: loss 0.1324 - lr 0.100000 2023-04-05 23:24:54,318 BAD EPOCHS (no improvement): 0 2023-04-05 23:24:54,324 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:25:02,883 epoch 36 - iter 265/2650 - loss 0.13358631 - time (sec): 8.56 - samples/sec: 17153.21 - lr: 0.100000 2023-04-05 23:25:11,578 epoch 36 - iter 530/2650 - loss 0.13236657 - time (sec): 17.25 - samples/sec: 17147.17 - lr: 0.100000 2023-04-05 23:25:23,978 epoch 36 - iter 795/2650 - loss 0.13117182 - time (sec): 29.65 - samples/sec: 14944.94 - lr: 0.100000 2023-04-05 23:25:32,497 epoch 36 - iter 1060/2650 - loss 0.13085891 - time (sec): 38.17 - samples/sec: 15466.60 - lr: 0.100000 2023-04-05 23:25:41,089 epoch 36 - iter 1325/2650 - loss 0.13028983 - time (sec): 46.76 - samples/sec: 15745.99 - lr: 0.100000 2023-04-05 23:25:49,610 epoch 36 - iter 1590/2650 - loss 0.13026176 - time (sec): 55.28 - samples/sec: 15963.15 - lr: 0.100000 2023-04-05 23:25:58,105 epoch 36 - iter 1855/2650 - loss 0.13079829 - time (sec): 63.78 - samples/sec: 16121.80 - lr: 0.100000 2023-04-05 23:26:06,826 epoch 36 - iter 2120/2650 - loss 0.13124059 - time (sec): 72.50 - samples/sec: 16244.17 - lr: 0.100000 2023-04-05 23:26:15,520 epoch 36 - iter 2385/2650 - loss 0.13113767 - time (sec): 81.20 - samples/sec: 16343.16 - lr: 0.100000 2023-04-05 23:26:24,079 epoch 36 - iter 2650/2650 - loss 0.13126545 - time (sec): 89.75 - samples/sec: 16420.57 - lr: 0.100000 2023-04-05 23:26:24,080 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:26:24,080 EPOCH 36 done: loss 0.1313 - lr 0.100000 2023-04-05 23:26:24,080 BAD EPOCHS (no improvement): 0 2023-04-05 23:26:24,083 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:26:32,624 epoch 37 - iter 265/2650 - loss 0.12731891 - time (sec): 8.54 - samples/sec: 17183.63 - lr: 0.100000 2023-04-05 23:26:41,273 epoch 37 - iter 530/2650 - loss 0.12957543 - time (sec): 17.19 - samples/sec: 17148.33 - lr: 0.100000 2023-04-05 23:26:49,929 epoch 37 - iter 795/2650 - loss 0.13058022 - time (sec): 25.85 - samples/sec: 17169.66 - lr: 0.100000 2023-04-05 23:26:58,426 epoch 37 - iter 1060/2650 - loss 0.12942980 - time (sec): 34.34 - samples/sec: 17159.14 - lr: 0.100000 2023-04-05 23:27:06,984 epoch 37 - iter 1325/2650 - loss 0.13002546 - time (sec): 42.90 - samples/sec: 17159.78 - lr: 0.100000 2023-04-05 23:27:15,599 epoch 37 - iter 1590/2650 - loss 0.13016624 - time (sec): 51.52 - samples/sec: 17149.57 - lr: 0.100000 2023-04-05 23:27:24,160 epoch 37 - iter 1855/2650 - loss 0.13044600 - time (sec): 60.08 - samples/sec: 17147.93 - lr: 0.100000 2023-04-05 23:27:32,805 epoch 37 - iter 2120/2650 - loss 0.13053574 - time (sec): 68.72 - samples/sec: 17157.66 - lr: 0.100000 2023-04-05 23:27:41,465 epoch 37 - iter 2385/2650 - loss 0.13044115 - time (sec): 77.38 - samples/sec: 17147.40 - lr: 0.100000 2023-04-05 23:27:50,018 epoch 37 - iter 2650/2650 - loss 0.13032329 - time (sec): 85.93 - samples/sec: 17150.43 - lr: 0.100000 2023-04-05 23:27:50,019 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:27:50,019 EPOCH 37 done: loss 0.1303 - lr 0.100000 2023-04-05 23:27:50,019 BAD EPOCHS (no improvement): 0 2023-04-05 23:27:50,023 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:27:58,544 epoch 38 - iter 265/2650 - loss 0.12797419 - time (sec): 8.52 - samples/sec: 17298.03 - lr: 0.100000 2023-04-05 23:28:07,103 epoch 38 - iter 530/2650 - loss 0.12817620 - time (sec): 17.08 - samples/sec: 17214.67 - lr: 0.100000 2023-04-05 23:28:15,674 epoch 38 - iter 795/2650 - loss 0.12872543 - time (sec): 25.65 - samples/sec: 17218.79 - lr: 0.100000 2023-04-05 23:28:24,308 epoch 38 - iter 1060/2650 - loss 0.12906892 - time (sec): 34.28 - samples/sec: 17184.73 - lr: 0.100000 2023-04-05 23:28:32,895 epoch 38 - iter 1325/2650 - loss 0.12893877 - time (sec): 42.87 - samples/sec: 17179.12 - lr: 0.100000 2023-04-05 23:28:41,625 epoch 38 - iter 1590/2650 - loss 0.12911529 - time (sec): 51.60 - samples/sec: 17188.98 - lr: 0.100000 2023-04-05 23:28:50,098 epoch 38 - iter 1855/2650 - loss 0.12902723 - time (sec): 60.08 - samples/sec: 17186.74 - lr: 0.100000 2023-04-05 23:28:58,637 epoch 38 - iter 2120/2650 - loss 0.12927770 - time (sec): 68.61 - samples/sec: 17181.26 - lr: 0.100000 2023-04-05 23:29:07,266 epoch 38 - iter 2385/2650 - loss 0.12927086 - time (sec): 77.24 - samples/sec: 17180.45 - lr: 0.100000 2023-04-05 23:29:15,845 epoch 38 - iter 2650/2650 - loss 0.12967605 - time (sec): 85.82 - samples/sec: 17173.04 - lr: 0.100000 2023-04-05 23:29:15,845 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:29:15,845 EPOCH 38 done: loss 0.1297 - lr 0.100000 2023-04-05 23:29:15,845 BAD EPOCHS (no improvement): 0 2023-04-05 23:29:15,848 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:29:24,454 epoch 39 - iter 265/2650 - loss 0.12463110 - time (sec): 8.61 - samples/sec: 17209.46 - lr: 0.100000 2023-04-05 23:29:33,005 epoch 39 - iter 530/2650 - loss 0.12447914 - time (sec): 17.16 - samples/sec: 17193.85 - lr: 0.100000 2023-04-05 23:29:41,634 epoch 39 - iter 795/2650 - loss 0.12488541 - time (sec): 25.79 - samples/sec: 17183.37 - lr: 0.100000 2023-04-05 23:29:50,173 epoch 39 - iter 1060/2650 - loss 0.12609624 - time (sec): 34.33 - samples/sec: 17192.99 - lr: 0.100000 2023-04-05 23:29:58,714 epoch 39 - iter 1325/2650 - loss 0.12669417 - time (sec): 42.87 - samples/sec: 17170.49 - lr: 0.100000 2023-04-05 23:30:07,319 epoch 39 - iter 1590/2650 - loss 0.12683410 - time (sec): 51.47 - samples/sec: 17151.45 - lr: 0.100000 2023-04-05 23:30:16,075 epoch 39 - iter 1855/2650 - loss 0.12750607 - time (sec): 60.23 - samples/sec: 17139.64 - lr: 0.100000 2023-04-05 23:30:24,722 epoch 39 - iter 2120/2650 - loss 0.12811985 - time (sec): 68.87 - samples/sec: 17122.58 - lr: 0.100000 2023-04-05 23:30:33,420 epoch 39 - iter 2385/2650 - loss 0.12809481 - time (sec): 77.57 - samples/sec: 17105.55 - lr: 0.100000 2023-04-05 23:30:42,021 epoch 39 - iter 2650/2650 - loss 0.12823002 - time (sec): 86.17 - samples/sec: 17103.09 - lr: 0.100000 2023-04-05 23:30:42,021 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:30:42,021 EPOCH 39 done: loss 0.1282 - lr 0.100000 2023-04-05 23:30:42,021 BAD EPOCHS (no improvement): 0 2023-04-05 23:30:42,025 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:30:50,675 epoch 40 - iter 265/2650 - loss 0.12310990 - time (sec): 8.65 - samples/sec: 17146.63 - lr: 0.100000 2023-04-05 23:30:59,218 epoch 40 - iter 530/2650 - loss 0.12599879 - time (sec): 17.19 - samples/sec: 17124.33 - lr: 0.100000 2023-04-05 23:31:07,912 epoch 40 - iter 795/2650 - loss 0.12686821 - time (sec): 25.89 - samples/sec: 17120.04 - lr: 0.100000 2023-04-05 23:31:16,657 epoch 40 - iter 1060/2650 - loss 0.12694141 - time (sec): 34.63 - samples/sec: 17116.55 - lr: 0.100000 2023-04-05 23:31:25,280 epoch 40 - iter 1325/2650 - loss 0.12714826 - time (sec): 43.25 - samples/sec: 17115.30 - lr: 0.100000 2023-04-05 23:31:33,930 epoch 40 - iter 1590/2650 - loss 0.12750977 - time (sec): 51.91 - samples/sec: 17102.79 - lr: 0.100000 2023-04-05 23:31:42,514 epoch 40 - iter 1855/2650 - loss 0.12755655 - time (sec): 60.49 - samples/sec: 17096.78 - lr: 0.100000 2023-04-05 23:31:50,927 epoch 40 - iter 2120/2650 - loss 0.12792372 - time (sec): 68.90 - samples/sec: 17096.43 - lr: 0.100000 2023-04-05 23:31:59,546 epoch 40 - iter 2385/2650 - loss 0.12815823 - time (sec): 77.52 - samples/sec: 17104.18 - lr: 0.100000 2023-04-05 23:32:08,214 epoch 40 - iter 2650/2650 - loss 0.12846079 - time (sec): 86.19 - samples/sec: 17099.84 - lr: 0.100000 2023-04-05 23:32:08,215 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:32:08,215 EPOCH 40 done: loss 0.1285 - lr 0.100000 2023-04-05 23:32:08,215 BAD EPOCHS (no improvement): 1 2023-04-05 23:32:08,218 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:32:16,793 epoch 41 - iter 265/2650 - loss 0.12633783 - time (sec): 8.57 - samples/sec: 17150.59 - lr: 0.100000 2023-04-05 23:32:25,334 epoch 41 - iter 530/2650 - loss 0.12555300 - time (sec): 17.12 - samples/sec: 17161.38 - lr: 0.100000 2023-04-05 23:32:33,956 epoch 41 - iter 795/2650 - loss 0.12651010 - time (sec): 25.74 - samples/sec: 17112.36 - lr: 0.100000 2023-04-05 23:32:42,590 epoch 41 - iter 1060/2650 - loss 0.12570245 - time (sec): 34.37 - samples/sec: 17099.39 - lr: 0.100000 2023-04-05 23:32:51,116 epoch 41 - iter 1325/2650 - loss 0.12584110 - time (sec): 42.90 - samples/sec: 17116.53 - lr: 0.100000 2023-04-05 23:32:59,721 epoch 41 - iter 1590/2650 - loss 0.12620164 - time (sec): 51.50 - samples/sec: 17119.44 - lr: 0.100000 2023-04-05 23:33:08,397 epoch 41 - iter 1855/2650 - loss 0.12621226 - time (sec): 60.18 - samples/sec: 17126.13 - lr: 0.100000 2023-04-05 23:33:17,085 epoch 41 - iter 2120/2650 - loss 0.12629690 - time (sec): 68.87 - samples/sec: 17118.08 - lr: 0.100000 2023-04-05 23:33:25,740 epoch 41 - iter 2385/2650 - loss 0.12633996 - time (sec): 77.52 - samples/sec: 17119.71 - lr: 0.100000 2023-04-05 23:33:34,276 epoch 41 - iter 2650/2650 - loss 0.12681522 - time (sec): 86.06 - samples/sec: 17125.95 - lr: 0.100000 2023-04-05 23:33:34,277 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:33:34,277 EPOCH 41 done: loss 0.1268 - lr 0.100000 2023-04-05 23:33:34,277 BAD EPOCHS (no improvement): 0 2023-04-05 23:33:34,280 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:33:42,880 epoch 42 - iter 265/2650 - loss 0.12379982 - time (sec): 8.60 - samples/sec: 17217.03 - lr: 0.100000 2023-04-05 23:33:51,573 epoch 42 - iter 530/2650 - loss 0.12424190 - time (sec): 17.29 - samples/sec: 17149.52 - lr: 0.100000 2023-04-05 23:34:00,220 epoch 42 - iter 795/2650 - loss 0.12536950 - time (sec): 25.94 - samples/sec: 17173.50 - lr: 0.100000 2023-04-05 23:34:12,794 epoch 42 - iter 1060/2650 - loss 0.12564063 - time (sec): 38.51 - samples/sec: 15462.60 - lr: 0.100000 2023-04-05 23:34:21,215 epoch 42 - iter 1325/2650 - loss 0.12594896 - time (sec): 46.93 - samples/sec: 15759.61 - lr: 0.100000 2023-04-05 23:34:29,712 epoch 42 - iter 1590/2650 - loss 0.12602057 - time (sec): 55.43 - samples/sec: 15992.43 - lr: 0.100000 2023-04-05 23:34:38,164 epoch 42 - iter 1855/2650 - loss 0.12627163 - time (sec): 63.88 - samples/sec: 16146.02 - lr: 0.100000 2023-04-05 23:34:46,758 epoch 42 - iter 2120/2650 - loss 0.12675635 - time (sec): 72.48 - samples/sec: 16259.14 - lr: 0.100000 2023-04-05 23:34:55,422 epoch 42 - iter 2385/2650 - loss 0.12710678 - time (sec): 81.14 - samples/sec: 16348.67 - lr: 0.100000 2023-04-05 23:35:04,000 epoch 42 - iter 2650/2650 - loss 0.12734183 - time (sec): 89.72 - samples/sec: 16427.00 - lr: 0.100000 2023-04-05 23:35:04,000 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:35:04,000 EPOCH 42 done: loss 0.1273 - lr 0.100000 2023-04-05 23:35:04,000 BAD EPOCHS (no improvement): 1 2023-04-05 23:35:04,008 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:35:12,662 epoch 43 - iter 265/2650 - loss 0.12678257 - time (sec): 8.65 - samples/sec: 17229.81 - lr: 0.100000 2023-04-05 23:35:21,278 epoch 43 - iter 530/2650 - loss 0.12595316 - time (sec): 17.27 - samples/sec: 17173.89 - lr: 0.100000 2023-04-05 23:35:29,916 epoch 43 - iter 795/2650 - loss 0.12656045 - time (sec): 25.91 - samples/sec: 17147.63 - lr: 0.100000 2023-04-05 23:35:38,521 epoch 43 - iter 1060/2650 - loss 0.12672579 - time (sec): 34.51 - samples/sec: 17129.09 - lr: 0.100000 2023-04-05 23:35:47,106 epoch 43 - iter 1325/2650 - loss 0.12627445 - time (sec): 43.10 - samples/sec: 17103.18 - lr: 0.100000 2023-04-05 23:35:55,876 epoch 43 - iter 1590/2650 - loss 0.12642366 - time (sec): 51.87 - samples/sec: 17081.64 - lr: 0.100000 2023-04-05 23:36:04,439 epoch 43 - iter 1855/2650 - loss 0.12658618 - time (sec): 60.43 - samples/sec: 17069.22 - lr: 0.100000 2023-04-05 23:36:13,041 epoch 43 - iter 2120/2650 - loss 0.12671116 - time (sec): 69.03 - samples/sec: 17072.26 - lr: 0.100000 2023-04-05 23:36:21,706 epoch 43 - iter 2385/2650 - loss 0.12683079 - time (sec): 77.70 - samples/sec: 17068.35 - lr: 0.100000 2023-04-05 23:36:30,428 epoch 43 - iter 2650/2650 - loss 0.12692280 - time (sec): 86.42 - samples/sec: 17054.17 - lr: 0.100000 2023-04-05 23:36:30,428 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:36:30,428 EPOCH 43 done: loss 0.1269 - lr 0.100000 2023-04-05 23:36:30,428 BAD EPOCHS (no improvement): 2 2023-04-05 23:36:30,432 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:36:39,129 epoch 44 - iter 265/2650 - loss 0.12470174 - time (sec): 8.70 - samples/sec: 17114.65 - lr: 0.100000 2023-04-05 23:36:47,732 epoch 44 - iter 530/2650 - loss 0.12578563 - time (sec): 17.30 - samples/sec: 17078.60 - lr: 0.100000 2023-04-05 23:36:56,319 epoch 44 - iter 795/2650 - loss 0.12489105 - time (sec): 25.89 - samples/sec: 17075.07 - lr: 0.100000 2023-04-05 23:37:05,036 epoch 44 - iter 1060/2650 - loss 0.12547509 - time (sec): 34.60 - samples/sec: 17048.59 - lr: 0.100000 2023-04-05 23:37:13,710 epoch 44 - iter 1325/2650 - loss 0.12579979 - time (sec): 43.28 - samples/sec: 17045.50 - lr: 0.100000 2023-04-05 23:37:22,271 epoch 44 - iter 1590/2650 - loss 0.12600760 - time (sec): 51.84 - samples/sec: 17050.29 - lr: 0.100000 2023-04-05 23:37:30,988 epoch 44 - iter 1855/2650 - loss 0.12551866 - time (sec): 60.56 - samples/sec: 17043.54 - lr: 0.100000 2023-04-05 23:37:39,623 epoch 44 - iter 2120/2650 - loss 0.12568701 - time (sec): 69.19 - samples/sec: 17049.33 - lr: 0.100000 2023-04-05 23:37:48,218 epoch 44 - iter 2385/2650 - loss 0.12575257 - time (sec): 77.79 - samples/sec: 17048.30 - lr: 0.100000 2023-04-05 23:37:56,896 epoch 44 - iter 2650/2650 - loss 0.12565882 - time (sec): 86.46 - samples/sec: 17045.47 - lr: 0.100000 2023-04-05 23:37:56,897 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:37:56,897 EPOCH 44 done: loss 0.1257 - lr 0.100000 2023-04-05 23:37:56,897 BAD EPOCHS (no improvement): 0 2023-04-05 23:37:56,900 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:38:05,580 epoch 45 - iter 265/2650 - loss 0.12020865 - time (sec): 8.68 - samples/sec: 17032.43 - lr: 0.100000 2023-04-05 23:38:14,255 epoch 45 - iter 530/2650 - loss 0.12458382 - time (sec): 17.35 - samples/sec: 17026.59 - lr: 0.100000 2023-04-05 23:38:22,963 epoch 45 - iter 795/2650 - loss 0.12445409 - time (sec): 26.06 - samples/sec: 17026.96 - lr: 0.100000 2023-04-05 23:38:31,587 epoch 45 - iter 1060/2650 - loss 0.12474271 - time (sec): 34.69 - samples/sec: 17040.46 - lr: 0.100000 2023-04-05 23:38:40,239 epoch 45 - iter 1325/2650 - loss 0.12449246 - time (sec): 43.34 - samples/sec: 17041.88 - lr: 0.100000 2023-04-05 23:38:49,000 epoch 45 - iter 1590/2650 - loss 0.12487218 - time (sec): 52.10 - samples/sec: 17042.74 - lr: 0.100000 2023-04-05 23:38:57,606 epoch 45 - iter 1855/2650 - loss 0.12446713 - time (sec): 60.71 - samples/sec: 17059.67 - lr: 0.100000 2023-04-05 23:39:06,072 epoch 45 - iter 2120/2650 - loss 0.12497971 - time (sec): 69.17 - samples/sec: 17066.43 - lr: 0.100000 2023-04-05 23:39:14,669 epoch 45 - iter 2385/2650 - loss 0.12543694 - time (sec): 77.77 - samples/sec: 17065.47 - lr: 0.100000 2023-04-05 23:39:23,247 epoch 45 - iter 2650/2650 - loss 0.12519508 - time (sec): 86.35 - samples/sec: 17068.61 - lr: 0.100000 2023-04-05 23:39:23,248 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:39:23,248 EPOCH 45 done: loss 0.1252 - lr 0.100000 2023-04-05 23:39:23,248 BAD EPOCHS (no improvement): 0 2023-04-05 23:39:23,253 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:39:31,796 epoch 46 - iter 265/2650 - loss 0.12395394 - time (sec): 8.54 - samples/sec: 17207.45 - lr: 0.100000 2023-04-05 23:39:40,445 epoch 46 - iter 530/2650 - loss 0.12388758 - time (sec): 17.19 - samples/sec: 17175.62 - lr: 0.100000 2023-04-05 23:39:49,073 epoch 46 - iter 795/2650 - loss 0.12377428 - time (sec): 25.82 - samples/sec: 17130.22 - lr: 0.100000 2023-04-05 23:39:57,745 epoch 46 - iter 1060/2650 - loss 0.12356644 - time (sec): 34.49 - samples/sec: 17132.91 - lr: 0.100000 2023-04-05 23:40:06,384 epoch 46 - iter 1325/2650 - loss 0.12355039 - time (sec): 43.13 - samples/sec: 17119.74 - lr: 0.100000 2023-04-05 23:40:15,020 epoch 46 - iter 1590/2650 - loss 0.12303473 - time (sec): 51.77 - samples/sec: 17109.00 - lr: 0.100000 2023-04-05 23:40:23,594 epoch 46 - iter 1855/2650 - loss 0.12338673 - time (sec): 60.34 - samples/sec: 17083.83 - lr: 0.100000 2023-04-05 23:40:32,190 epoch 46 - iter 2120/2650 - loss 0.12364929 - time (sec): 68.94 - samples/sec: 17084.83 - lr: 0.100000 2023-04-05 23:40:40,742 epoch 46 - iter 2385/2650 - loss 0.12391846 - time (sec): 77.49 - samples/sec: 17090.49 - lr: 0.100000 2023-04-05 23:40:49,546 epoch 46 - iter 2650/2650 - loss 0.12404177 - time (sec): 86.29 - samples/sec: 17079.31 - lr: 0.100000 2023-04-05 23:40:49,546 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:40:49,546 EPOCH 46 done: loss 0.1240 - lr 0.100000 2023-04-05 23:40:49,546 BAD EPOCHS (no improvement): 0 2023-04-05 23:40:49,553 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:40:58,220 epoch 47 - iter 265/2650 - loss 0.12245771 - time (sec): 8.67 - samples/sec: 17138.76 - lr: 0.100000 2023-04-05 23:41:06,763 epoch 47 - iter 530/2650 - loss 0.12327385 - time (sec): 17.21 - samples/sec: 17123.85 - lr: 0.100000 2023-04-05 23:41:15,344 epoch 47 - iter 795/2650 - loss 0.12377314 - time (sec): 25.79 - samples/sec: 17124.51 - lr: 0.100000 2023-04-05 23:41:23,984 epoch 47 - iter 1060/2650 - loss 0.12372381 - time (sec): 34.43 - samples/sec: 17112.11 - lr: 0.100000 2023-04-05 23:41:32,476 epoch 47 - iter 1325/2650 - loss 0.12356805 - time (sec): 42.92 - samples/sec: 17125.09 - lr: 0.100000 2023-04-05 23:41:41,027 epoch 47 - iter 1590/2650 - loss 0.12368814 - time (sec): 51.47 - samples/sec: 17142.13 - lr: 0.100000 2023-04-05 23:41:49,624 epoch 47 - iter 1855/2650 - loss 0.12387523 - time (sec): 60.07 - samples/sec: 17146.12 - lr: 0.100000 2023-04-05 23:41:58,321 epoch 47 - iter 2120/2650 - loss 0.12407366 - time (sec): 68.77 - samples/sec: 17132.72 - lr: 0.100000 2023-04-05 23:42:07,024 epoch 47 - iter 2385/2650 - loss 0.12407984 - time (sec): 77.47 - samples/sec: 17129.83 - lr: 0.100000 2023-04-05 23:42:15,651 epoch 47 - iter 2650/2650 - loss 0.12408841 - time (sec): 86.10 - samples/sec: 17117.93 - lr: 0.100000 2023-04-05 23:42:15,652 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:42:15,652 EPOCH 47 done: loss 0.1241 - lr 0.100000 2023-04-05 23:42:15,652 BAD EPOCHS (no improvement): 1 2023-04-05 23:42:15,655 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:42:24,322 epoch 48 - iter 265/2650 - loss 0.11946841 - time (sec): 8.67 - samples/sec: 17115.28 - lr: 0.100000 2023-04-05 23:42:32,962 epoch 48 - iter 530/2650 - loss 0.12157324 - time (sec): 17.31 - samples/sec: 17076.90 - lr: 0.100000 2023-04-05 23:42:41,518 epoch 48 - iter 795/2650 - loss 0.12209703 - time (sec): 25.86 - samples/sec: 17109.87 - lr: 0.100000 2023-04-05 23:42:50,038 epoch 48 - iter 1060/2650 - loss 0.12215143 - time (sec): 34.38 - samples/sec: 17098.53 - lr: 0.100000 2023-04-05 23:42:58,737 epoch 48 - iter 1325/2650 - loss 0.12233875 - time (sec): 43.08 - samples/sec: 17078.10 - lr: 0.100000 2023-04-05 23:43:11,192 epoch 48 - iter 1590/2650 - loss 0.12255737 - time (sec): 55.54 - samples/sec: 15886.32 - lr: 0.100000 2023-04-05 23:43:19,760 epoch 48 - iter 1855/2650 - loss 0.12250281 - time (sec): 64.10 - samples/sec: 16069.20 - lr: 0.100000 2023-04-05 23:43:28,279 epoch 48 - iter 2120/2650 - loss 0.12256286 - time (sec): 72.62 - samples/sec: 16208.41 - lr: 0.100000 2023-04-05 23:43:36,978 epoch 48 - iter 2385/2650 - loss 0.12285696 - time (sec): 81.32 - samples/sec: 16305.14 - lr: 0.100000 2023-04-05 23:43:45,622 epoch 48 - iter 2650/2650 - loss 0.12314502 - time (sec): 89.97 - samples/sec: 16381.87 - lr: 0.100000 2023-04-05 23:43:45,622 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:43:45,622 EPOCH 48 done: loss 0.1231 - lr 0.100000 2023-04-05 23:43:45,622 BAD EPOCHS (no improvement): 0 2023-04-05 23:43:45,626 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:43:54,359 epoch 49 - iter 265/2650 - loss 0.12006638 - time (sec): 8.73 - samples/sec: 17080.61 - lr: 0.100000 2023-04-05 23:44:03,035 epoch 49 - iter 530/2650 - loss 0.12089147 - time (sec): 17.41 - samples/sec: 17100.42 - lr: 0.100000 2023-04-05 23:44:11,601 epoch 49 - iter 795/2650 - loss 0.12206598 - time (sec): 25.98 - samples/sec: 17091.73 - lr: 0.100000 2023-04-05 23:44:20,143 epoch 49 - iter 1060/2650 - loss 0.12187178 - time (sec): 34.52 - samples/sec: 17114.36 - lr: 0.100000 2023-04-05 23:44:28,782 epoch 49 - iter 1325/2650 - loss 0.12219997 - time (sec): 43.16 - samples/sec: 17119.17 - lr: 0.100000 2023-04-05 23:44:37,438 epoch 49 - iter 1590/2650 - loss 0.12294518 - time (sec): 51.81 - samples/sec: 17120.93 - lr: 0.100000 2023-04-05 23:44:46,000 epoch 49 - iter 1855/2650 - loss 0.12244330 - time (sec): 60.37 - samples/sec: 17122.32 - lr: 0.100000 2023-04-05 23:44:54,555 epoch 49 - iter 2120/2650 - loss 0.12308299 - time (sec): 68.93 - samples/sec: 17129.47 - lr: 0.100000 2023-04-05 23:45:03,099 epoch 49 - iter 2385/2650 - loss 0.12341418 - time (sec): 77.47 - samples/sec: 17134.58 - lr: 0.100000 2023-04-05 23:45:11,643 epoch 49 - iter 2650/2650 - loss 0.12333276 - time (sec): 86.02 - samples/sec: 17134.05 - lr: 0.100000 2023-04-05 23:45:11,643 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:45:11,643 EPOCH 49 done: loss 0.1233 - lr 0.100000 2023-04-05 23:45:11,643 BAD EPOCHS (no improvement): 1 2023-04-05 23:45:11,650 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:45:20,161 epoch 50 - iter 265/2650 - loss 0.12095047 - time (sec): 8.51 - samples/sec: 17225.45 - lr: 0.100000 2023-04-05 23:45:28,767 epoch 50 - iter 530/2650 - loss 0.12199114 - time (sec): 17.12 - samples/sec: 17206.60 - lr: 0.100000 2023-04-05 23:45:37,505 epoch 50 - iter 795/2650 - loss 0.12189903 - time (sec): 25.85 - samples/sec: 17167.01 - lr: 0.100000 2023-04-05 23:45:46,129 epoch 50 - iter 1060/2650 - loss 0.12228023 - time (sec): 34.48 - samples/sec: 17125.70 - lr: 0.100000 2023-04-05 23:45:54,794 epoch 50 - iter 1325/2650 - loss 0.12293105 - time (sec): 43.14 - samples/sec: 17107.58 - lr: 0.100000 2023-04-05 23:46:03,414 epoch 50 - iter 1590/2650 - loss 0.12299952 - time (sec): 51.76 - samples/sec: 17094.40 - lr: 0.100000 2023-04-05 23:46:12,115 epoch 50 - iter 1855/2650 - loss 0.12307304 - time (sec): 60.46 - samples/sec: 17091.58 - lr: 0.100000 2023-04-05 23:46:20,749 epoch 50 - iter 2120/2650 - loss 0.12284933 - time (sec): 69.10 - samples/sec: 17081.31 - lr: 0.100000 2023-04-05 23:46:29,414 epoch 50 - iter 2385/2650 - loss 0.12261970 - time (sec): 77.76 - samples/sec: 17078.53 - lr: 0.100000 2023-04-05 23:46:37,991 epoch 50 - iter 2650/2650 - loss 0.12299836 - time (sec): 86.34 - samples/sec: 17069.89 - lr: 0.100000 2023-04-05 23:46:37,991 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:46:37,991 EPOCH 50 done: loss 0.1230 - lr 0.100000 2023-04-05 23:46:37,991 BAD EPOCHS (no improvement): 0 2023-04-05 23:46:37,995 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:46:46,632 epoch 51 - iter 265/2650 - loss 0.11765643 - time (sec): 8.64 - samples/sec: 17062.56 - lr: 0.100000 2023-04-05 23:46:55,334 epoch 51 - iter 530/2650 - loss 0.12044631 - time (sec): 17.34 - samples/sec: 17021.66 - lr: 0.100000 2023-04-05 23:47:03,929 epoch 51 - iter 795/2650 - loss 0.12027262 - time (sec): 25.93 - samples/sec: 17011.59 - lr: 0.100000 2023-04-05 23:47:12,626 epoch 51 - iter 1060/2650 - loss 0.12128627 - time (sec): 34.63 - samples/sec: 17031.66 - lr: 0.100000 2023-04-05 23:47:21,330 epoch 51 - iter 1325/2650 - loss 0.12117666 - time (sec): 43.34 - samples/sec: 17029.21 - lr: 0.100000 2023-04-05 23:47:29,961 epoch 51 - iter 1590/2650 - loss 0.12092423 - time (sec): 51.97 - samples/sec: 17025.11 - lr: 0.100000 2023-04-05 23:47:38,579 epoch 51 - iter 1855/2650 - loss 0.12145846 - time (sec): 60.58 - samples/sec: 17036.37 - lr: 0.100000 2023-04-05 23:47:47,212 epoch 51 - iter 2120/2650 - loss 0.12105817 - time (sec): 69.22 - samples/sec: 17040.72 - lr: 0.100000 2023-04-05 23:47:55,866 epoch 51 - iter 2385/2650 - loss 0.12107345 - time (sec): 77.87 - samples/sec: 17038.64 - lr: 0.100000 2023-04-05 23:48:04,526 epoch 51 - iter 2650/2650 - loss 0.12123995 - time (sec): 86.53 - samples/sec: 17032.31 - lr: 0.100000 2023-04-05 23:48:04,526 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:48:04,526 EPOCH 51 done: loss 0.1212 - lr 0.100000 2023-04-05 23:48:04,527 BAD EPOCHS (no improvement): 0 2023-04-05 23:48:04,530 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:48:13,126 epoch 52 - iter 265/2650 - loss 0.12008009 - time (sec): 8.60 - samples/sec: 17226.10 - lr: 0.100000 2023-04-05 23:48:21,844 epoch 52 - iter 530/2650 - loss 0.11939549 - time (sec): 17.31 - samples/sec: 17148.78 - lr: 0.100000 2023-04-05 23:48:30,389 epoch 52 - iter 795/2650 - loss 0.11956334 - time (sec): 25.86 - samples/sec: 17108.62 - lr: 0.100000 2023-04-05 23:48:38,968 epoch 52 - iter 1060/2650 - loss 0.12051251 - time (sec): 34.44 - samples/sec: 17091.71 - lr: 0.100000 2023-04-05 23:48:47,660 epoch 52 - iter 1325/2650 - loss 0.12044718 - time (sec): 43.13 - samples/sec: 17074.69 - lr: 0.100000 2023-04-05 23:48:56,418 epoch 52 - iter 1590/2650 - loss 0.12053611 - time (sec): 51.89 - samples/sec: 17058.17 - lr: 0.100000 2023-04-05 23:49:05,233 epoch 52 - iter 1855/2650 - loss 0.12125706 - time (sec): 60.70 - samples/sec: 17045.53 - lr: 0.100000 2023-04-05 23:49:13,921 epoch 52 - iter 2120/2650 - loss 0.12120445 - time (sec): 69.39 - samples/sec: 17037.10 - lr: 0.100000 2023-04-05 23:49:22,538 epoch 52 - iter 2385/2650 - loss 0.12148177 - time (sec): 78.01 - samples/sec: 17041.40 - lr: 0.100000 2023-04-05 23:49:31,038 epoch 52 - iter 2650/2650 - loss 0.12165050 - time (sec): 86.51 - samples/sec: 17037.03 - lr: 0.100000 2023-04-05 23:49:31,038 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:49:31,038 EPOCH 52 done: loss 0.1217 - lr 0.100000 2023-04-05 23:49:31,038 BAD EPOCHS (no improvement): 1 2023-04-05 23:49:31,042 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:49:39,751 epoch 53 - iter 265/2650 - loss 0.12374936 - time (sec): 8.71 - samples/sec: 17147.77 - lr: 0.100000 2023-04-05 23:49:48,323 epoch 53 - iter 530/2650 - loss 0.12173827 - time (sec): 17.28 - samples/sec: 17144.93 - lr: 0.100000 2023-04-05 23:49:56,899 epoch 53 - iter 795/2650 - loss 0.12104478 - time (sec): 25.86 - samples/sec: 17146.96 - lr: 0.100000 2023-04-05 23:50:05,491 epoch 53 - iter 1060/2650 - loss 0.12133749 - time (sec): 34.45 - samples/sec: 17123.41 - lr: 0.100000 2023-04-05 23:50:14,076 epoch 53 - iter 1325/2650 - loss 0.12177002 - time (sec): 43.03 - samples/sec: 17103.23 - lr: 0.100000 2023-04-05 23:50:22,743 epoch 53 - iter 1590/2650 - loss 0.12183399 - time (sec): 51.70 - samples/sec: 17087.58 - lr: 0.100000 2023-04-05 23:50:31,429 epoch 53 - iter 1855/2650 - loss 0.12190756 - time (sec): 60.39 - samples/sec: 17077.76 - lr: 0.100000 2023-04-05 23:50:40,072 epoch 53 - iter 2120/2650 - loss 0.12224888 - time (sec): 69.03 - samples/sec: 17072.64 - lr: 0.100000 2023-04-05 23:50:48,764 epoch 53 - iter 2385/2650 - loss 0.12193284 - time (sec): 77.72 - samples/sec: 17075.58 - lr: 0.100000 2023-04-05 23:50:57,385 epoch 53 - iter 2650/2650 - loss 0.12190621 - time (sec): 86.34 - samples/sec: 17069.40 - lr: 0.100000 2023-04-05 23:50:57,385 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:50:57,385 EPOCH 53 done: loss 0.1219 - lr 0.100000 2023-04-05 23:50:57,385 BAD EPOCHS (no improvement): 2 2023-04-05 23:50:57,389 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:51:06,081 epoch 54 - iter 265/2650 - loss 0.12039467 - time (sec): 8.69 - samples/sec: 17018.01 - lr: 0.100000 2023-04-05 23:51:14,679 epoch 54 - iter 530/2650 - loss 0.12073172 - time (sec): 17.29 - samples/sec: 17074.28 - lr: 0.100000 2023-04-05 23:51:23,144 epoch 54 - iter 795/2650 - loss 0.12099418 - time (sec): 25.75 - samples/sec: 17109.22 - lr: 0.100000 2023-04-05 23:51:31,868 epoch 54 - iter 1060/2650 - loss 0.12166332 - time (sec): 34.48 - samples/sec: 17116.67 - lr: 0.100000 2023-04-05 23:51:40,451 epoch 54 - iter 1325/2650 - loss 0.12130167 - time (sec): 43.06 - samples/sec: 17104.80 - lr: 0.100000 2023-04-05 23:51:49,000 epoch 54 - iter 1590/2650 - loss 0.12114659 - time (sec): 51.61 - samples/sec: 17107.66 - lr: 0.100000 2023-04-05 23:52:01,470 epoch 54 - iter 1855/2650 - loss 0.12107139 - time (sec): 64.08 - samples/sec: 16063.78 - lr: 0.100000 2023-04-05 23:52:09,986 epoch 54 - iter 2120/2650 - loss 0.12123056 - time (sec): 72.60 - samples/sec: 16216.95 - lr: 0.100000 2023-04-05 23:52:18,629 epoch 54 - iter 2385/2650 - loss 0.12139034 - time (sec): 81.24 - samples/sec: 16317.49 - lr: 0.100000 2023-04-05 23:52:27,312 epoch 54 - iter 2650/2650 - loss 0.12148308 - time (sec): 89.92 - samples/sec: 16389.87 - lr: 0.100000 2023-04-05 23:52:27,312 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:52:27,312 EPOCH 54 done: loss 0.1215 - lr 0.100000 2023-04-05 23:52:27,312 BAD EPOCHS (no improvement): 3 2023-04-05 23:52:27,316 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:52:35,968 epoch 55 - iter 265/2650 - loss 0.12027045 - time (sec): 8.65 - samples/sec: 17146.34 - lr: 0.100000 2023-04-05 23:52:44,537 epoch 55 - iter 530/2650 - loss 0.12011686 - time (sec): 17.22 - samples/sec: 17101.88 - lr: 0.100000 2023-04-05 23:52:53,224 epoch 55 - iter 795/2650 - loss 0.11988439 - time (sec): 25.91 - samples/sec: 17066.00 - lr: 0.100000 2023-04-05 23:53:01,954 epoch 55 - iter 1060/2650 - loss 0.12071113 - time (sec): 34.64 - samples/sec: 17060.64 - lr: 0.100000 2023-04-05 23:53:10,543 epoch 55 - iter 1325/2650 - loss 0.12039759 - time (sec): 43.23 - samples/sec: 17074.52 - lr: 0.100000 2023-04-05 23:53:19,161 epoch 55 - iter 1590/2650 - loss 0.12060606 - time (sec): 51.84 - samples/sec: 17048.73 - lr: 0.100000 2023-04-05 23:53:27,825 epoch 55 - iter 1855/2650 - loss 0.12042112 - time (sec): 60.51 - samples/sec: 17046.19 - lr: 0.100000 2023-04-05 23:53:36,426 epoch 55 - iter 2120/2650 - loss 0.12079893 - time (sec): 69.11 - samples/sec: 17057.14 - lr: 0.100000 2023-04-05 23:53:45,113 epoch 55 - iter 2385/2650 - loss 0.12075022 - time (sec): 77.80 - samples/sec: 17059.35 - lr: 0.100000 2023-04-05 23:53:53,729 epoch 55 - iter 2650/2650 - loss 0.12107830 - time (sec): 86.41 - samples/sec: 17055.59 - lr: 0.100000 2023-04-05 23:53:53,730 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:53:53,730 EPOCH 55 done: loss 0.1211 - lr 0.100000 2023-04-05 23:53:53,730 BAD EPOCHS (no improvement): 0 2023-04-05 23:53:53,764 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:54:02,251 epoch 56 - iter 265/2650 - loss 0.11727095 - time (sec): 8.49 - samples/sec: 17099.36 - lr: 0.100000 2023-04-05 23:54:10,839 epoch 56 - iter 530/2650 - loss 0.11871245 - time (sec): 17.07 - samples/sec: 17122.28 - lr: 0.100000 2023-04-05 23:54:19,506 epoch 56 - iter 795/2650 - loss 0.11884111 - time (sec): 25.74 - samples/sec: 17083.37 - lr: 0.100000 2023-04-05 23:54:28,264 epoch 56 - iter 1060/2650 - loss 0.11924132 - time (sec): 34.50 - samples/sec: 17068.08 - lr: 0.100000 2023-04-05 23:54:36,929 epoch 56 - iter 1325/2650 - loss 0.11911027 - time (sec): 43.16 - samples/sec: 17072.22 - lr: 0.100000 2023-04-05 23:54:45,618 epoch 56 - iter 1590/2650 - loss 0.11911472 - time (sec): 51.85 - samples/sec: 17068.16 - lr: 0.100000 2023-04-05 23:54:54,344 epoch 56 - iter 1855/2650 - loss 0.11895260 - time (sec): 60.58 - samples/sec: 17069.27 - lr: 0.100000 2023-04-05 23:55:02,985 epoch 56 - iter 2120/2650 - loss 0.11924570 - time (sec): 69.22 - samples/sec: 17063.21 - lr: 0.100000 2023-04-05 23:55:11,642 epoch 56 - iter 2385/2650 - loss 0.11938985 - time (sec): 77.88 - samples/sec: 17065.01 - lr: 0.100000 2023-04-05 23:55:20,177 epoch 56 - iter 2650/2650 - loss 0.11973224 - time (sec): 86.41 - samples/sec: 17055.58 - lr: 0.100000 2023-04-05 23:55:20,178 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:55:20,178 EPOCH 56 done: loss 0.1197 - lr 0.100000 2023-04-05 23:55:20,178 BAD EPOCHS (no improvement): 0 2023-04-05 23:55:20,181 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:55:28,944 epoch 57 - iter 265/2650 - loss 0.11551601 - time (sec): 8.76 - samples/sec: 16989.01 - lr: 0.100000 2023-04-05 23:55:37,541 epoch 57 - iter 530/2650 - loss 0.11804967 - time (sec): 17.36 - samples/sec: 17054.16 - lr: 0.100000 2023-04-05 23:55:46,155 epoch 57 - iter 795/2650 - loss 0.11764748 - time (sec): 25.97 - samples/sec: 17070.15 - lr: 0.100000 2023-04-05 23:55:54,796 epoch 57 - iter 1060/2650 - loss 0.11794198 - time (sec): 34.61 - samples/sec: 17069.10 - lr: 0.100000 2023-04-05 23:56:03,382 epoch 57 - iter 1325/2650 - loss 0.11888838 - time (sec): 43.20 - samples/sec: 17057.48 - lr: 0.100000 2023-04-05 23:56:11,866 epoch 57 - iter 1590/2650 - loss 0.11952141 - time (sec): 51.68 - samples/sec: 17056.66 - lr: 0.100000 2023-04-05 23:56:20,540 epoch 57 - iter 1855/2650 - loss 0.11932712 - time (sec): 60.36 - samples/sec: 17051.15 - lr: 0.100000 2023-04-05 23:56:29,254 epoch 57 - iter 2120/2650 - loss 0.12002900 - time (sec): 69.07 - samples/sec: 17047.53 - lr: 0.100000 2023-04-05 23:56:37,892 epoch 57 - iter 2385/2650 - loss 0.11985208 - time (sec): 77.71 - samples/sec: 17046.28 - lr: 0.100000 2023-04-05 23:56:46,642 epoch 57 - iter 2650/2650 - loss 0.11972316 - time (sec): 86.46 - samples/sec: 17046.09 - lr: 0.100000 2023-04-05 23:56:46,643 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:56:46,643 EPOCH 57 done: loss 0.1197 - lr 0.100000 2023-04-05 23:56:46,643 BAD EPOCHS (no improvement): 0 2023-04-05 23:56:46,646 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:56:55,328 epoch 58 - iter 265/2650 - loss 0.11826105 - time (sec): 8.68 - samples/sec: 17028.08 - lr: 0.100000 2023-04-05 23:57:04,002 epoch 58 - iter 530/2650 - loss 0.11934403 - time (sec): 17.36 - samples/sec: 17091.53 - lr: 0.100000 2023-04-05 23:57:12,686 epoch 58 - iter 795/2650 - loss 0.11992925 - time (sec): 26.04 - samples/sec: 17057.13 - lr: 0.100000 2023-04-05 23:57:21,377 epoch 58 - iter 1060/2650 - loss 0.11968436 - time (sec): 34.73 - samples/sec: 17041.85 - lr: 0.100000 2023-04-05 23:57:30,022 epoch 58 - iter 1325/2650 - loss 0.11999146 - time (sec): 43.38 - samples/sec: 17037.23 - lr: 0.100000 2023-04-05 23:57:38,633 epoch 58 - iter 1590/2650 - loss 0.11988164 - time (sec): 51.99 - samples/sec: 17014.71 - lr: 0.100000 2023-04-05 23:57:47,338 epoch 58 - iter 1855/2650 - loss 0.11995967 - time (sec): 60.69 - samples/sec: 17004.30 - lr: 0.100000 2023-04-05 23:57:56,005 epoch 58 - iter 2120/2650 - loss 0.11993393 - time (sec): 69.36 - samples/sec: 16994.45 - lr: 0.100000 2023-04-05 23:58:04,651 epoch 58 - iter 2385/2650 - loss 0.11974364 - time (sec): 78.00 - samples/sec: 16989.23 - lr: 0.100000 2023-04-05 23:58:13,429 epoch 58 - iter 2650/2650 - loss 0.11982734 - time (sec): 86.78 - samples/sec: 16982.87 - lr: 0.100000 2023-04-05 23:58:13,429 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:58:13,429 EPOCH 58 done: loss 0.1198 - lr 0.100000 2023-04-05 23:58:13,430 BAD EPOCHS (no improvement): 1 2023-04-05 23:58:13,433 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:58:22,067 epoch 59 - iter 265/2650 - loss 0.11299022 - time (sec): 8.63 - samples/sec: 17050.67 - lr: 0.100000 2023-04-05 23:58:30,741 epoch 59 - iter 530/2650 - loss 0.11736922 - time (sec): 17.31 - samples/sec: 17013.65 - lr: 0.100000 2023-04-05 23:58:39,478 epoch 59 - iter 795/2650 - loss 0.11798749 - time (sec): 26.05 - samples/sec: 17031.42 - lr: 0.100000 2023-04-05 23:58:48,166 epoch 59 - iter 1060/2650 - loss 0.11762691 - time (sec): 34.73 - samples/sec: 17004.87 - lr: 0.100000 2023-04-05 23:58:56,859 epoch 59 - iter 1325/2650 - loss 0.11789587 - time (sec): 43.43 - samples/sec: 17007.78 - lr: 0.100000 2023-04-05 23:59:05,584 epoch 59 - iter 1590/2650 - loss 0.11801770 - time (sec): 52.15 - samples/sec: 16994.06 - lr: 0.100000 2023-04-05 23:59:14,205 epoch 59 - iter 1855/2650 - loss 0.11832719 - time (sec): 60.77 - samples/sec: 16994.94 - lr: 0.100000 2023-04-05 23:59:22,774 epoch 59 - iter 2120/2650 - loss 0.11833449 - time (sec): 69.34 - samples/sec: 16987.16 - lr: 0.100000 2023-04-05 23:59:31,462 epoch 59 - iter 2385/2650 - loss 0.11834459 - time (sec): 78.03 - samples/sec: 16993.61 - lr: 0.100000 2023-04-05 23:59:40,217 epoch 59 - iter 2650/2650 - loss 0.11862343 - time (sec): 86.78 - samples/sec: 16982.63 - lr: 0.100000 2023-04-05 23:59:40,217 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:59:40,217 EPOCH 59 done: loss 0.1186 - lr 0.100000 2023-04-05 23:59:40,217 BAD EPOCHS (no improvement): 0 2023-04-05 23:59:40,221 ---------------------------------------------------------------------------------------------------- 2023-04-05 23:59:48,907 epoch 60 - iter 265/2650 - loss 0.11724894 - time (sec): 8.68 - samples/sec: 17059.94 - lr: 0.100000 2023-04-05 23:59:57,723 epoch 60 - iter 530/2650 - loss 0.11727585 - time (sec): 17.50 - samples/sec: 17014.79 - lr: 0.100000 2023-04-06 00:00:06,246 epoch 60 - iter 795/2650 - loss 0.11764514 - time (sec): 26.02 - samples/sec: 17043.15 - lr: 0.100000 2023-04-06 00:00:14,793 epoch 60 - iter 1060/2650 - loss 0.11705698 - time (sec): 34.57 - samples/sec: 17104.15 - lr: 0.100000 2023-04-06 00:00:23,328 epoch 60 - iter 1325/2650 - loss 0.11769581 - time (sec): 43.11 - samples/sec: 17088.69 - lr: 0.100000 2023-04-06 00:00:31,918 epoch 60 - iter 1590/2650 - loss 0.11816867 - time (sec): 51.70 - samples/sec: 17080.52 - lr: 0.100000 2023-04-06 00:00:40,590 epoch 60 - iter 1855/2650 - loss 0.11860854 - time (sec): 60.37 - samples/sec: 17085.16 - lr: 0.100000 2023-04-06 00:00:49,255 epoch 60 - iter 2120/2650 - loss 0.11895616 - time (sec): 69.03 - samples/sec: 17076.96 - lr: 0.100000 2023-04-06 00:01:01,929 epoch 60 - iter 2385/2650 - loss 0.11904117 - time (sec): 81.71 - samples/sec: 16235.27 - lr: 0.100000 2023-04-06 00:01:10,414 epoch 60 - iter 2650/2650 - loss 0.11877470 - time (sec): 90.19 - samples/sec: 16340.79 - lr: 0.100000 2023-04-06 00:01:10,415 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:01:10,415 EPOCH 60 done: loss 0.1188 - lr 0.100000 2023-04-06 00:01:10,415 BAD EPOCHS (no improvement): 1 2023-04-06 00:01:10,419 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:01:18,856 epoch 61 - iter 265/2650 - loss 0.12111316 - time (sec): 8.44 - samples/sec: 17324.67 - lr: 0.100000 2023-04-06 00:01:27,556 epoch 61 - iter 530/2650 - loss 0.11858740 - time (sec): 17.14 - samples/sec: 17167.22 - lr: 0.100000 2023-04-06 00:01:36,287 epoch 61 - iter 795/2650 - loss 0.11853710 - time (sec): 25.87 - samples/sec: 17126.84 - lr: 0.100000 2023-04-06 00:01:44,930 epoch 61 - iter 1060/2650 - loss 0.11855251 - time (sec): 34.51 - samples/sec: 17127.49 - lr: 0.100000 2023-04-06 00:01:53,563 epoch 61 - iter 1325/2650 - loss 0.11865187 - time (sec): 43.14 - samples/sec: 17107.45 - lr: 0.100000 2023-04-06 00:02:02,244 epoch 61 - iter 1590/2650 - loss 0.11876179 - time (sec): 51.82 - samples/sec: 17101.30 - lr: 0.100000 2023-04-06 00:02:10,790 epoch 61 - iter 1855/2650 - loss 0.11865533 - time (sec): 60.37 - samples/sec: 17100.70 - lr: 0.100000 2023-04-06 00:02:19,493 epoch 61 - iter 2120/2650 - loss 0.11846834 - time (sec): 69.07 - samples/sec: 17109.55 - lr: 0.100000 2023-04-06 00:02:28,091 epoch 61 - iter 2385/2650 - loss 0.11825790 - time (sec): 77.67 - samples/sec: 17111.19 - lr: 0.100000 2023-04-06 00:02:36,563 epoch 61 - iter 2650/2650 - loss 0.11857460 - time (sec): 86.14 - samples/sec: 17108.88 - lr: 0.100000 2023-04-06 00:02:36,563 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:02:36,563 EPOCH 61 done: loss 0.1186 - lr 0.100000 2023-04-06 00:02:36,563 BAD EPOCHS (no improvement): 0 2023-04-06 00:02:36,568 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:02:45,096 epoch 62 - iter 265/2650 - loss 0.11611662 - time (sec): 8.53 - samples/sec: 17194.77 - lr: 0.100000 2023-04-06 00:02:53,689 epoch 62 - iter 530/2650 - loss 0.11682338 - time (sec): 17.12 - samples/sec: 17160.32 - lr: 0.100000 2023-04-06 00:03:02,271 epoch 62 - iter 795/2650 - loss 0.11757820 - time (sec): 25.70 - samples/sec: 17152.74 - lr: 0.100000 2023-04-06 00:03:10,838 epoch 62 - iter 1060/2650 - loss 0.11706026 - time (sec): 34.27 - samples/sec: 17139.20 - lr: 0.100000 2023-04-06 00:03:19,353 epoch 62 - iter 1325/2650 - loss 0.11732933 - time (sec): 42.79 - samples/sec: 17153.36 - lr: 0.100000 2023-04-06 00:03:27,930 epoch 62 - iter 1590/2650 - loss 0.11728535 - time (sec): 51.36 - samples/sec: 17148.24 - lr: 0.100000 2023-04-06 00:03:36,583 epoch 62 - iter 1855/2650 - loss 0.11730293 - time (sec): 60.02 - samples/sec: 17136.91 - lr: 0.100000 2023-04-06 00:03:45,237 epoch 62 - iter 2120/2650 - loss 0.11773117 - time (sec): 68.67 - samples/sec: 17138.64 - lr: 0.100000 2023-04-06 00:03:53,937 epoch 62 - iter 2385/2650 - loss 0.11776208 - time (sec): 77.37 - samples/sec: 17135.74 - lr: 0.100000 2023-04-06 00:04:02,605 epoch 62 - iter 2650/2650 - loss 0.11788056 - time (sec): 86.04 - samples/sec: 17130.07 - lr: 0.100000 2023-04-06 00:04:02,605 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:04:02,605 EPOCH 62 done: loss 0.1179 - lr 0.100000 2023-04-06 00:04:02,605 BAD EPOCHS (no improvement): 0 2023-04-06 00:04:02,610 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:04:11,294 epoch 63 - iter 265/2650 - loss 0.11788562 - time (sec): 8.68 - samples/sec: 17119.89 - lr: 0.100000 2023-04-06 00:04:19,842 epoch 63 - iter 530/2650 - loss 0.11731117 - time (sec): 17.23 - samples/sec: 17128.33 - lr: 0.100000 2023-04-06 00:04:28,408 epoch 63 - iter 795/2650 - loss 0.11697876 - time (sec): 25.80 - samples/sec: 17136.04 - lr: 0.100000 2023-04-06 00:04:37,261 epoch 63 - iter 1060/2650 - loss 0.11666203 - time (sec): 34.65 - samples/sec: 17126.71 - lr: 0.100000 2023-04-06 00:04:45,753 epoch 63 - iter 1325/2650 - loss 0.11651304 - time (sec): 43.14 - samples/sec: 17129.08 - lr: 0.100000 2023-04-06 00:04:54,355 epoch 63 - iter 1590/2650 - loss 0.11667047 - time (sec): 51.74 - samples/sec: 17128.84 - lr: 0.100000 2023-04-06 00:05:02,944 epoch 63 - iter 1855/2650 - loss 0.11712419 - time (sec): 60.33 - samples/sec: 17125.94 - lr: 0.100000 2023-04-06 00:05:11,585 epoch 63 - iter 2120/2650 - loss 0.11722720 - time (sec): 68.97 - samples/sec: 17125.12 - lr: 0.100000 2023-04-06 00:05:20,059 epoch 63 - iter 2385/2650 - loss 0.11715389 - time (sec): 77.45 - samples/sec: 17114.77 - lr: 0.100000 2023-04-06 00:05:28,742 epoch 63 - iter 2650/2650 - loss 0.11753228 - time (sec): 86.13 - samples/sec: 17111.24 - lr: 0.100000 2023-04-06 00:05:28,742 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:05:28,742 EPOCH 63 done: loss 0.1175 - lr 0.100000 2023-04-06 00:05:28,742 BAD EPOCHS (no improvement): 0 2023-04-06 00:05:28,747 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:05:37,277 epoch 64 - iter 265/2650 - loss 0.11534291 - time (sec): 8.53 - samples/sec: 17178.05 - lr: 0.100000 2023-04-06 00:05:45,823 epoch 64 - iter 530/2650 - loss 0.11670661 - time (sec): 17.08 - samples/sec: 17174.14 - lr: 0.100000 2023-04-06 00:05:54,404 epoch 64 - iter 795/2650 - loss 0.11804298 - time (sec): 25.66 - samples/sec: 17147.60 - lr: 0.100000 2023-04-06 00:06:02,995 epoch 64 - iter 1060/2650 - loss 0.11841427 - time (sec): 34.25 - samples/sec: 17148.85 - lr: 0.100000 2023-04-06 00:06:11,572 epoch 64 - iter 1325/2650 - loss 0.11816126 - time (sec): 42.83 - samples/sec: 17141.99 - lr: 0.100000 2023-04-06 00:06:20,093 epoch 64 - iter 1590/2650 - loss 0.11820554 - time (sec): 51.35 - samples/sec: 17139.17 - lr: 0.100000 2023-04-06 00:06:28,833 epoch 64 - iter 1855/2650 - loss 0.11832016 - time (sec): 60.09 - samples/sec: 17132.71 - lr: 0.100000 2023-04-06 00:06:37,440 epoch 64 - iter 2120/2650 - loss 0.11827405 - time (sec): 68.69 - samples/sec: 17153.09 - lr: 0.100000 2023-04-06 00:06:46,084 epoch 64 - iter 2385/2650 - loss 0.11828611 - time (sec): 77.34 - samples/sec: 17136.60 - lr: 0.100000 2023-04-06 00:06:54,820 epoch 64 - iter 2650/2650 - loss 0.11839605 - time (sec): 86.07 - samples/sec: 17123.08 - lr: 0.100000 2023-04-06 00:06:54,820 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:06:54,820 EPOCH 64 done: loss 0.1184 - lr 0.100000 2023-04-06 00:06:54,820 BAD EPOCHS (no improvement): 1 2023-04-06 00:06:54,823 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:07:03,489 epoch 65 - iter 265/2650 - loss 0.11788130 - time (sec): 8.67 - samples/sec: 17106.30 - lr: 0.100000 2023-04-06 00:07:12,063 epoch 65 - iter 530/2650 - loss 0.11791320 - time (sec): 17.24 - samples/sec: 17086.72 - lr: 0.100000 2023-04-06 00:07:20,623 epoch 65 - iter 795/2650 - loss 0.11732942 - time (sec): 25.80 - samples/sec: 17079.75 - lr: 0.100000 2023-04-06 00:07:29,275 epoch 65 - iter 1060/2650 - loss 0.11708136 - time (sec): 34.45 - samples/sec: 17057.64 - lr: 0.100000 2023-04-06 00:07:37,910 epoch 65 - iter 1325/2650 - loss 0.11707179 - time (sec): 43.09 - samples/sec: 17048.02 - lr: 0.100000 2023-04-06 00:07:46,600 epoch 65 - iter 1590/2650 - loss 0.11681340 - time (sec): 51.78 - samples/sec: 17047.69 - lr: 0.100000 2023-04-06 00:07:55,087 epoch 65 - iter 1855/2650 - loss 0.11683270 - time (sec): 60.26 - samples/sec: 17057.83 - lr: 0.100000 2023-04-06 00:08:03,858 epoch 65 - iter 2120/2650 - loss 0.11684935 - time (sec): 69.03 - samples/sec: 17067.25 - lr: 0.100000 2023-04-06 00:08:12,364 epoch 65 - iter 2385/2650 - loss 0.11728475 - time (sec): 77.54 - samples/sec: 17087.35 - lr: 0.100000 2023-04-06 00:08:21,020 epoch 65 - iter 2650/2650 - loss 0.11754489 - time (sec): 86.20 - samples/sec: 17098.26 - lr: 0.100000 2023-04-06 00:08:21,021 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:08:21,021 EPOCH 65 done: loss 0.1175 - lr 0.100000 2023-04-06 00:08:21,021 BAD EPOCHS (no improvement): 2 2023-04-06 00:08:21,025 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:08:29,598 epoch 66 - iter 265/2650 - loss 0.11361426 - time (sec): 8.57 - samples/sec: 17146.31 - lr: 0.100000 2023-04-06 00:08:38,135 epoch 66 - iter 530/2650 - loss 0.11454101 - time (sec): 17.11 - samples/sec: 17145.55 - lr: 0.100000 2023-04-06 00:08:46,801 epoch 66 - iter 795/2650 - loss 0.11600962 - time (sec): 25.78 - samples/sec: 17193.55 - lr: 0.100000 2023-04-06 00:08:55,514 epoch 66 - iter 1060/2650 - loss 0.11614997 - time (sec): 34.49 - samples/sec: 17186.14 - lr: 0.100000 2023-04-06 00:09:04,129 epoch 66 - iter 1325/2650 - loss 0.11609613 - time (sec): 43.10 - samples/sec: 17171.22 - lr: 0.100000 2023-04-06 00:09:12,705 epoch 66 - iter 1590/2650 - loss 0.11597068 - time (sec): 51.68 - samples/sec: 17159.65 - lr: 0.100000 2023-04-06 00:09:21,154 epoch 66 - iter 1855/2650 - loss 0.11575922 - time (sec): 60.13 - samples/sec: 17170.88 - lr: 0.100000 2023-04-06 00:09:29,687 epoch 66 - iter 2120/2650 - loss 0.11631487 - time (sec): 68.66 - samples/sec: 17175.80 - lr: 0.100000 2023-04-06 00:09:38,343 epoch 66 - iter 2385/2650 - loss 0.11652446 - time (sec): 77.32 - samples/sec: 17172.02 - lr: 0.100000 2023-04-06 00:09:46,834 epoch 66 - iter 2650/2650 - loss 0.11684118 - time (sec): 85.81 - samples/sec: 17175.69 - lr: 0.100000 2023-04-06 00:09:46,834 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:09:46,834 EPOCH 66 done: loss 0.1168 - lr 0.100000 2023-04-06 00:09:46,834 BAD EPOCHS (no improvement): 0 2023-04-06 00:09:46,838 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:09:59,172 epoch 67 - iter 265/2650 - loss 0.11691214 - time (sec): 12.33 - samples/sec: 12030.07 - lr: 0.100000 2023-04-06 00:10:07,743 epoch 67 - iter 530/2650 - loss 0.11637091 - time (sec): 20.90 - samples/sec: 14143.86 - lr: 0.100000 2023-04-06 00:10:16,424 epoch 67 - iter 795/2650 - loss 0.11640624 - time (sec): 29.59 - samples/sec: 14975.36 - lr: 0.100000 2023-04-06 00:10:25,139 epoch 67 - iter 1060/2650 - loss 0.11671904 - time (sec): 38.30 - samples/sec: 15449.01 - lr: 0.100000 2023-04-06 00:10:33,743 epoch 67 - iter 1325/2650 - loss 0.11778489 - time (sec): 46.90 - samples/sec: 15740.78 - lr: 0.100000 2023-04-06 00:10:42,382 epoch 67 - iter 1590/2650 - loss 0.11767773 - time (sec): 55.54 - samples/sec: 15947.89 - lr: 0.100000 2023-04-06 00:10:51,069 epoch 67 - iter 1855/2650 - loss 0.11770995 - time (sec): 64.23 - samples/sec: 16087.57 - lr: 0.100000 2023-04-06 00:10:59,562 epoch 67 - iter 2120/2650 - loss 0.11781949 - time (sec): 72.72 - samples/sec: 16201.64 - lr: 0.100000 2023-04-06 00:11:08,244 epoch 67 - iter 2385/2650 - loss 0.11755180 - time (sec): 81.41 - samples/sec: 16293.17 - lr: 0.100000 2023-04-06 00:11:16,919 epoch 67 - iter 2650/2650 - loss 0.11738161 - time (sec): 90.08 - samples/sec: 16361.21 - lr: 0.100000 2023-04-06 00:11:16,919 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:11:16,919 EPOCH 67 done: loss 0.1174 - lr 0.100000 2023-04-06 00:11:16,919 BAD EPOCHS (no improvement): 1 2023-04-06 00:11:16,923 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:11:25,555 epoch 68 - iter 265/2650 - loss 0.11345643 - time (sec): 8.63 - samples/sec: 17109.13 - lr: 0.100000 2023-04-06 00:11:34,157 epoch 68 - iter 530/2650 - loss 0.11572390 - time (sec): 17.23 - samples/sec: 17111.09 - lr: 0.100000 2023-04-06 00:11:42,716 epoch 68 - iter 795/2650 - loss 0.11651065 - time (sec): 25.79 - samples/sec: 17093.91 - lr: 0.100000 2023-04-06 00:11:51,433 epoch 68 - iter 1060/2650 - loss 0.11602540 - time (sec): 34.51 - samples/sec: 17082.44 - lr: 0.100000 2023-04-06 00:12:00,244 epoch 68 - iter 1325/2650 - loss 0.11693692 - time (sec): 43.32 - samples/sec: 17061.38 - lr: 0.100000 2023-04-06 00:12:08,856 epoch 68 - iter 1590/2650 - loss 0.11719268 - time (sec): 51.93 - samples/sec: 17039.67 - lr: 0.100000 2023-04-06 00:12:17,526 epoch 68 - iter 1855/2650 - loss 0.11708860 - time (sec): 60.60 - samples/sec: 17027.31 - lr: 0.100000 2023-04-06 00:12:26,273 epoch 68 - iter 2120/2650 - loss 0.11696358 - time (sec): 69.35 - samples/sec: 17016.49 - lr: 0.100000 2023-04-06 00:12:34,960 epoch 68 - iter 2385/2650 - loss 0.11709303 - time (sec): 78.04 - samples/sec: 17009.65 - lr: 0.100000 2023-04-06 00:12:43,624 epoch 68 - iter 2650/2650 - loss 0.11714555 - time (sec): 86.70 - samples/sec: 16998.95 - lr: 0.100000 2023-04-06 00:12:43,624 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:12:43,624 EPOCH 68 done: loss 0.1171 - lr 0.100000 2023-04-06 00:12:43,624 BAD EPOCHS (no improvement): 2 2023-04-06 00:12:43,628 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:12:52,279 epoch 69 - iter 265/2650 - loss 0.11294854 - time (sec): 8.65 - samples/sec: 16986.87 - lr: 0.100000 2023-04-06 00:13:00,964 epoch 69 - iter 530/2650 - loss 0.11374187 - time (sec): 17.34 - samples/sec: 16991.03 - lr: 0.100000 2023-04-06 00:13:09,687 epoch 69 - iter 795/2650 - loss 0.11421994 - time (sec): 26.06 - samples/sec: 16995.72 - lr: 0.100000 2023-04-06 00:13:18,311 epoch 69 - iter 1060/2650 - loss 0.11460024 - time (sec): 34.68 - samples/sec: 17002.82 - lr: 0.100000 2023-04-06 00:13:27,024 epoch 69 - iter 1325/2650 - loss 0.11476843 - time (sec): 43.40 - samples/sec: 16995.34 - lr: 0.100000 2023-04-06 00:13:35,661 epoch 69 - iter 1590/2650 - loss 0.11480677 - time (sec): 52.03 - samples/sec: 17006.99 - lr: 0.100000 2023-04-06 00:13:44,363 epoch 69 - iter 1855/2650 - loss 0.11513652 - time (sec): 60.74 - samples/sec: 16991.73 - lr: 0.100000 2023-04-06 00:13:52,981 epoch 69 - iter 2120/2650 - loss 0.11525484 - time (sec): 69.35 - samples/sec: 16984.86 - lr: 0.100000 2023-04-06 00:14:01,728 epoch 69 - iter 2385/2650 - loss 0.11573383 - time (sec): 78.10 - samples/sec: 16971.61 - lr: 0.100000 2023-04-06 00:14:10,442 epoch 69 - iter 2650/2650 - loss 0.11576811 - time (sec): 86.81 - samples/sec: 16976.79 - lr: 0.100000 2023-04-06 00:14:10,442 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:14:10,442 EPOCH 69 done: loss 0.1158 - lr 0.100000 2023-04-06 00:14:10,442 BAD EPOCHS (no improvement): 0 2023-04-06 00:14:10,445 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:14:18,911 epoch 70 - iter 265/2650 - loss 0.11560573 - time (sec): 8.47 - samples/sec: 17063.25 - lr: 0.100000 2023-04-06 00:14:27,629 epoch 70 - iter 530/2650 - loss 0.11462572 - time (sec): 17.18 - samples/sec: 17022.54 - lr: 0.100000 2023-04-06 00:14:36,310 epoch 70 - iter 795/2650 - loss 0.11558727 - time (sec): 25.86 - samples/sec: 17007.27 - lr: 0.100000 2023-04-06 00:14:45,072 epoch 70 - iter 1060/2650 - loss 0.11461491 - time (sec): 34.63 - samples/sec: 17000.25 - lr: 0.100000 2023-04-06 00:14:53,817 epoch 70 - iter 1325/2650 - loss 0.11501492 - time (sec): 43.37 - samples/sec: 17011.04 - lr: 0.100000 2023-04-06 00:15:02,486 epoch 70 - iter 1590/2650 - loss 0.11507096 - time (sec): 52.04 - samples/sec: 16994.54 - lr: 0.100000 2023-04-06 00:15:11,237 epoch 70 - iter 1855/2650 - loss 0.11513079 - time (sec): 60.79 - samples/sec: 16985.13 - lr: 0.100000 2023-04-06 00:15:19,955 epoch 70 - iter 2120/2650 - loss 0.11552193 - time (sec): 69.51 - samples/sec: 16991.53 - lr: 0.100000 2023-04-06 00:15:28,602 epoch 70 - iter 2385/2650 - loss 0.11571432 - time (sec): 78.16 - samples/sec: 16980.58 - lr: 0.100000 2023-04-06 00:15:37,276 epoch 70 - iter 2650/2650 - loss 0.11554255 - time (sec): 86.83 - samples/sec: 16973.53 - lr: 0.100000 2023-04-06 00:15:37,276 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:15:37,276 EPOCH 70 done: loss 0.1155 - lr 0.100000 2023-04-06 00:15:37,276 BAD EPOCHS (no improvement): 0 2023-04-06 00:15:37,282 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:15:46,022 epoch 71 - iter 265/2650 - loss 0.11485081 - time (sec): 8.74 - samples/sec: 17069.07 - lr: 0.100000 2023-04-06 00:15:54,684 epoch 71 - iter 530/2650 - loss 0.11319160 - time (sec): 17.40 - samples/sec: 17062.29 - lr: 0.100000 2023-04-06 00:16:03,299 epoch 71 - iter 795/2650 - loss 0.11441123 - time (sec): 26.02 - samples/sec: 17053.00 - lr: 0.100000 2023-04-06 00:16:11,852 epoch 71 - iter 1060/2650 - loss 0.11503873 - time (sec): 34.57 - samples/sec: 17076.50 - lr: 0.100000 2023-04-06 00:16:20,488 epoch 71 - iter 1325/2650 - loss 0.11583140 - time (sec): 43.21 - samples/sec: 17093.48 - lr: 0.100000 2023-04-06 00:16:29,092 epoch 71 - iter 1590/2650 - loss 0.11615487 - time (sec): 51.81 - samples/sec: 17098.46 - lr: 0.100000 2023-04-06 00:16:37,505 epoch 71 - iter 1855/2650 - loss 0.11641842 - time (sec): 60.22 - samples/sec: 17103.43 - lr: 0.100000 2023-04-06 00:16:46,156 epoch 71 - iter 2120/2650 - loss 0.11659664 - time (sec): 68.87 - samples/sec: 17104.50 - lr: 0.100000 2023-04-06 00:16:54,776 epoch 71 - iter 2385/2650 - loss 0.11649695 - time (sec): 77.49 - samples/sec: 17120.65 - lr: 0.100000 2023-04-06 00:17:03,334 epoch 71 - iter 2650/2650 - loss 0.11647531 - time (sec): 86.05 - samples/sec: 17127.17 - lr: 0.100000 2023-04-06 00:17:03,335 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:17:03,335 EPOCH 71 done: loss 0.1165 - lr 0.100000 2023-04-06 00:17:03,335 BAD EPOCHS (no improvement): 1 2023-04-06 00:17:03,339 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:17:11,900 epoch 72 - iter 265/2650 - loss 0.11611881 - time (sec): 8.56 - samples/sec: 17267.65 - lr: 0.100000 2023-04-06 00:17:20,389 epoch 72 - iter 530/2650 - loss 0.11420336 - time (sec): 17.05 - samples/sec: 17201.94 - lr: 0.100000 2023-04-06 00:17:28,782 epoch 72 - iter 795/2650 - loss 0.11535111 - time (sec): 25.44 - samples/sec: 17209.36 - lr: 0.100000 2023-04-06 00:17:37,363 epoch 72 - iter 1060/2650 - loss 0.11545764 - time (sec): 34.02 - samples/sec: 17189.17 - lr: 0.100000 2023-04-06 00:17:46,072 epoch 72 - iter 1325/2650 - loss 0.11524553 - time (sec): 42.73 - samples/sec: 17176.20 - lr: 0.100000 2023-04-06 00:17:54,542 epoch 72 - iter 1590/2650 - loss 0.11533693 - time (sec): 51.20 - samples/sec: 17176.39 - lr: 0.100000 2023-04-06 00:18:03,293 epoch 72 - iter 1855/2650 - loss 0.11537898 - time (sec): 59.95 - samples/sec: 17191.45 - lr: 0.100000 2023-04-06 00:18:11,929 epoch 72 - iter 2120/2650 - loss 0.11544192 - time (sec): 68.59 - samples/sec: 17183.04 - lr: 0.100000 2023-04-06 00:18:20,556 epoch 72 - iter 2385/2650 - loss 0.11566401 - time (sec): 77.22 - samples/sec: 17179.41 - lr: 0.100000 2023-04-06 00:18:29,127 epoch 72 - iter 2650/2650 - loss 0.11567564 - time (sec): 85.79 - samples/sec: 17179.75 - lr: 0.100000 2023-04-06 00:18:29,128 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:18:29,128 EPOCH 72 done: loss 0.1157 - lr 0.100000 2023-04-06 00:18:29,128 BAD EPOCHS (no improvement): 2 2023-04-06 00:18:29,131 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:18:37,700 epoch 73 - iter 265/2650 - loss 0.11134682 - time (sec): 8.57 - samples/sec: 17266.75 - lr: 0.100000 2023-04-06 00:18:50,061 epoch 73 - iter 530/2650 - loss 0.11338913 - time (sec): 20.93 - samples/sec: 14055.73 - lr: 0.100000 2023-04-06 00:18:58,723 epoch 73 - iter 795/2650 - loss 0.11476077 - time (sec): 29.59 - samples/sec: 15002.41 - lr: 0.100000 2023-04-06 00:19:07,248 epoch 73 - iter 1060/2650 - loss 0.11535786 - time (sec): 38.12 - samples/sec: 15520.40 - lr: 0.100000 2023-04-06 00:19:15,787 epoch 73 - iter 1325/2650 - loss 0.11509635 - time (sec): 46.66 - samples/sec: 15837.49 - lr: 0.100000 2023-04-06 00:19:24,453 epoch 73 - iter 1590/2650 - loss 0.11496190 - time (sec): 55.32 - samples/sec: 16044.38 - lr: 0.100000 2023-04-06 00:19:33,031 epoch 73 - iter 1855/2650 - loss 0.11475820 - time (sec): 63.90 - samples/sec: 16200.89 - lr: 0.100000 2023-04-06 00:19:41,519 epoch 73 - iter 2120/2650 - loss 0.11491362 - time (sec): 72.39 - samples/sec: 16314.43 - lr: 0.100000 2023-04-06 00:19:50,073 epoch 73 - iter 2385/2650 - loss 0.11487306 - time (sec): 80.94 - samples/sec: 16404.63 - lr: 0.100000 2023-04-06 00:19:58,645 epoch 73 - iter 2650/2650 - loss 0.11494111 - time (sec): 89.51 - samples/sec: 16464.83 - lr: 0.100000 2023-04-06 00:19:58,645 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:19:58,645 EPOCH 73 done: loss 0.1149 - lr 0.100000 2023-04-06 00:19:58,645 BAD EPOCHS (no improvement): 0 2023-04-06 00:19:58,649 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:20:07,188 epoch 74 - iter 265/2650 - loss 0.11472797 - time (sec): 8.54 - samples/sec: 17150.16 - lr: 0.100000 2023-04-06 00:20:15,698 epoch 74 - iter 530/2650 - loss 0.11490964 - time (sec): 17.05 - samples/sec: 17173.32 - lr: 0.100000 2023-04-06 00:20:24,255 epoch 74 - iter 795/2650 - loss 0.11440428 - time (sec): 25.61 - samples/sec: 17166.12 - lr: 0.100000 2023-04-06 00:20:32,829 epoch 74 - iter 1060/2650 - loss 0.11389283 - time (sec): 34.18 - samples/sec: 17165.24 - lr: 0.100000 2023-04-06 00:20:41,448 epoch 74 - iter 1325/2650 - loss 0.11399848 - time (sec): 42.80 - samples/sec: 17159.55 - lr: 0.100000 2023-04-06 00:20:50,202 epoch 74 - iter 1590/2650 - loss 0.11408515 - time (sec): 51.55 - samples/sec: 17152.58 - lr: 0.100000 2023-04-06 00:20:58,766 epoch 74 - iter 1855/2650 - loss 0.11417260 - time (sec): 60.12 - samples/sec: 17170.55 - lr: 0.100000 2023-04-06 00:21:07,426 epoch 74 - iter 2120/2650 - loss 0.11483250 - time (sec): 68.78 - samples/sec: 17180.01 - lr: 0.100000 2023-04-06 00:21:15,910 epoch 74 - iter 2385/2650 - loss 0.11493763 - time (sec): 77.26 - samples/sec: 17185.72 - lr: 0.100000 2023-04-06 00:21:24,419 epoch 74 - iter 2650/2650 - loss 0.11502925 - time (sec): 85.77 - samples/sec: 17183.48 - lr: 0.100000 2023-04-06 00:21:24,419 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:21:24,419 EPOCH 74 done: loss 0.1150 - lr 0.100000 2023-04-06 00:21:24,419 BAD EPOCHS (no improvement): 1 2023-04-06 00:21:24,424 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:21:32,922 epoch 75 - iter 265/2650 - loss 0.11485692 - time (sec): 8.50 - samples/sec: 17199.71 - lr: 0.100000 2023-04-06 00:21:41,581 epoch 75 - iter 530/2650 - loss 0.11406079 - time (sec): 17.16 - samples/sec: 17186.85 - lr: 0.100000 2023-04-06 00:21:50,150 epoch 75 - iter 795/2650 - loss 0.11351562 - time (sec): 25.73 - samples/sec: 17215.03 - lr: 0.100000 2023-04-06 00:21:58,682 epoch 75 - iter 1060/2650 - loss 0.11402024 - time (sec): 34.26 - samples/sec: 17192.07 - lr: 0.100000 2023-04-06 00:22:07,339 epoch 75 - iter 1325/2650 - loss 0.11470250 - time (sec): 42.91 - samples/sec: 17185.33 - lr: 0.100000 2023-04-06 00:22:15,857 epoch 75 - iter 1590/2650 - loss 0.11465307 - time (sec): 51.43 - samples/sec: 17180.19 - lr: 0.100000 2023-04-06 00:22:24,530 epoch 75 - iter 1855/2650 - loss 0.11457949 - time (sec): 60.11 - samples/sec: 17171.65 - lr: 0.100000 2023-04-06 00:22:33,047 epoch 75 - iter 2120/2650 - loss 0.11459392 - time (sec): 68.62 - samples/sec: 17157.95 - lr: 0.100000 2023-04-06 00:22:41,724 epoch 75 - iter 2385/2650 - loss 0.11448979 - time (sec): 77.30 - samples/sec: 17150.31 - lr: 0.100000 2023-04-06 00:22:50,381 epoch 75 - iter 2650/2650 - loss 0.11411994 - time (sec): 85.96 - samples/sec: 17146.17 - lr: 0.100000 2023-04-06 00:22:50,381 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:22:50,381 EPOCH 75 done: loss 0.1141 - lr 0.100000 2023-04-06 00:22:50,381 BAD EPOCHS (no improvement): 0 2023-04-06 00:22:50,385 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:22:59,024 epoch 76 - iter 265/2650 - loss 0.11311974 - time (sec): 8.64 - samples/sec: 17209.07 - lr: 0.100000 2023-04-06 00:23:07,580 epoch 76 - iter 530/2650 - loss 0.11341129 - time (sec): 17.19 - samples/sec: 17159.35 - lr: 0.100000 2023-04-06 00:23:16,072 epoch 76 - iter 795/2650 - loss 0.11416040 - time (sec): 25.69 - samples/sec: 17141.10 - lr: 0.100000 2023-04-06 00:23:24,669 epoch 76 - iter 1060/2650 - loss 0.11380572 - time (sec): 34.28 - samples/sec: 17148.79 - lr: 0.100000 2023-04-06 00:23:33,334 epoch 76 - iter 1325/2650 - loss 0.11437719 - time (sec): 42.95 - samples/sec: 17145.84 - lr: 0.100000 2023-04-06 00:23:42,025 epoch 76 - iter 1590/2650 - loss 0.11467501 - time (sec): 51.64 - samples/sec: 17127.05 - lr: 0.100000 2023-04-06 00:23:50,706 epoch 76 - iter 1855/2650 - loss 0.11492728 - time (sec): 60.32 - samples/sec: 17123.08 - lr: 0.100000 2023-04-06 00:23:59,162 epoch 76 - iter 2120/2650 - loss 0.11487941 - time (sec): 68.78 - samples/sec: 17132.08 - lr: 0.100000 2023-04-06 00:24:07,909 epoch 76 - iter 2385/2650 - loss 0.11520400 - time (sec): 77.52 - samples/sec: 17135.34 - lr: 0.100000 2023-04-06 00:24:16,432 epoch 76 - iter 2650/2650 - loss 0.11520848 - time (sec): 86.05 - samples/sec: 17128.18 - lr: 0.100000 2023-04-06 00:24:16,432 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:24:16,432 EPOCH 76 done: loss 0.1152 - lr 0.100000 2023-04-06 00:24:16,433 BAD EPOCHS (no improvement): 1 2023-04-06 00:24:16,437 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:24:25,062 epoch 77 - iter 265/2650 - loss 0.10930629 - time (sec): 8.63 - samples/sec: 17149.26 - lr: 0.100000 2023-04-06 00:24:33,632 epoch 77 - iter 530/2650 - loss 0.11129817 - time (sec): 17.19 - samples/sec: 17155.90 - lr: 0.100000 2023-04-06 00:24:42,179 epoch 77 - iter 795/2650 - loss 0.11131148 - time (sec): 25.74 - samples/sec: 17137.56 - lr: 0.100000 2023-04-06 00:24:50,750 epoch 77 - iter 1060/2650 - loss 0.11230250 - time (sec): 34.31 - samples/sec: 17149.41 - lr: 0.100000 2023-04-06 00:24:59,419 epoch 77 - iter 1325/2650 - loss 0.11354885 - time (sec): 42.98 - samples/sec: 17142.51 - lr: 0.100000 2023-04-06 00:25:08,212 epoch 77 - iter 1590/2650 - loss 0.11358258 - time (sec): 51.78 - samples/sec: 17142.24 - lr: 0.100000 2023-04-06 00:25:16,791 epoch 77 - iter 1855/2650 - loss 0.11381407 - time (sec): 60.35 - samples/sec: 17137.08 - lr: 0.100000 2023-04-06 00:25:25,365 epoch 77 - iter 2120/2650 - loss 0.11408947 - time (sec): 68.93 - samples/sec: 17135.89 - lr: 0.100000 2023-04-06 00:25:33,966 epoch 77 - iter 2385/2650 - loss 0.11399641 - time (sec): 77.53 - samples/sec: 17135.85 - lr: 0.100000 2023-04-06 00:25:42,475 epoch 77 - iter 2650/2650 - loss 0.11413476 - time (sec): 86.04 - samples/sec: 17129.99 - lr: 0.100000 2023-04-06 00:25:42,475 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:25:42,475 EPOCH 77 done: loss 0.1141 - lr 0.100000 2023-04-06 00:25:42,475 BAD EPOCHS (no improvement): 2 2023-04-06 00:25:42,482 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:25:50,990 epoch 78 - iter 265/2650 - loss 0.11519847 - time (sec): 8.51 - samples/sec: 17201.12 - lr: 0.100000 2023-04-06 00:25:59,603 epoch 78 - iter 530/2650 - loss 0.11440586 - time (sec): 17.12 - samples/sec: 17188.31 - lr: 0.100000 2023-04-06 00:26:08,141 epoch 78 - iter 795/2650 - loss 0.11420283 - time (sec): 25.66 - samples/sec: 17198.94 - lr: 0.100000 2023-04-06 00:26:16,775 epoch 78 - iter 1060/2650 - loss 0.11470134 - time (sec): 34.29 - samples/sec: 17183.45 - lr: 0.100000 2023-04-06 00:26:25,393 epoch 78 - iter 1325/2650 - loss 0.11437111 - time (sec): 42.91 - samples/sec: 17164.61 - lr: 0.100000 2023-04-06 00:26:34,031 epoch 78 - iter 1590/2650 - loss 0.11449260 - time (sec): 51.55 - samples/sec: 17153.05 - lr: 0.100000 2023-04-06 00:26:42,758 epoch 78 - iter 1855/2650 - loss 0.11427399 - time (sec): 60.28 - samples/sec: 17148.86 - lr: 0.100000 2023-04-06 00:26:51,274 epoch 78 - iter 2120/2650 - loss 0.11447465 - time (sec): 68.79 - samples/sec: 17154.43 - lr: 0.100000 2023-04-06 00:26:59,849 epoch 78 - iter 2385/2650 - loss 0.11490193 - time (sec): 77.37 - samples/sec: 17154.93 - lr: 0.100000 2023-04-06 00:27:08,373 epoch 78 - iter 2650/2650 - loss 0.11457895 - time (sec): 85.89 - samples/sec: 17159.25 - lr: 0.100000 2023-04-06 00:27:08,373 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:27:08,373 EPOCH 78 done: loss 0.1146 - lr 0.100000 2023-04-06 00:27:08,373 BAD EPOCHS (no improvement): 3 2023-04-06 00:27:08,376 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:27:16,827 epoch 79 - iter 265/2650 - loss 0.11340860 - time (sec): 8.45 - samples/sec: 17260.53 - lr: 0.100000 2023-04-06 00:27:25,474 epoch 79 - iter 530/2650 - loss 0.11430687 - time (sec): 17.10 - samples/sec: 17219.54 - lr: 0.100000 2023-04-06 00:27:34,132 epoch 79 - iter 795/2650 - loss 0.11446318 - time (sec): 25.76 - samples/sec: 17174.24 - lr: 0.100000 2023-04-06 00:27:46,502 epoch 79 - iter 1060/2650 - loss 0.11433514 - time (sec): 38.13 - samples/sec: 15489.23 - lr: 0.100000 2023-04-06 00:27:55,002 epoch 79 - iter 1325/2650 - loss 0.11473948 - time (sec): 46.63 - samples/sec: 15832.79 - lr: 0.100000 2023-04-06 00:28:03,456 epoch 79 - iter 1590/2650 - loss 0.11443056 - time (sec): 55.08 - samples/sec: 16058.15 - lr: 0.100000 2023-04-06 00:28:11,999 epoch 79 - iter 1855/2650 - loss 0.11443496 - time (sec): 63.62 - samples/sec: 16202.52 - lr: 0.100000 2023-04-06 00:28:20,508 epoch 79 - iter 2120/2650 - loss 0.11414518 - time (sec): 72.13 - samples/sec: 16323.91 - lr: 0.100000 2023-04-06 00:28:29,168 epoch 79 - iter 2385/2650 - loss 0.11413735 - time (sec): 80.79 - samples/sec: 16410.52 - lr: 0.100000 2023-04-06 00:28:37,837 epoch 79 - iter 2650/2650 - loss 0.11420622 - time (sec): 89.46 - samples/sec: 16474.54 - lr: 0.100000 2023-04-06 00:28:37,837 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:28:37,837 EPOCH 79 done: loss 0.1142 - lr 0.100000 2023-04-06 00:28:37,838 Epoch 79: reducing learning rate of group 0 to 5.0000e-02. 2023-04-06 00:28:37,838 BAD EPOCHS (no improvement): 4 2023-04-06 00:28:37,840 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:28:46,444 epoch 80 - iter 265/2650 - loss 0.11435610 - time (sec): 8.60 - samples/sec: 17075.95 - lr: 0.050000 2023-04-06 00:28:55,003 epoch 80 - iter 530/2650 - loss 0.11059233 - time (sec): 17.16 - samples/sec: 17146.09 - lr: 0.050000 2023-04-06 00:29:03,657 epoch 80 - iter 795/2650 - loss 0.10988486 - time (sec): 25.82 - samples/sec: 17128.84 - lr: 0.050000 2023-04-06 00:29:12,228 epoch 80 - iter 1060/2650 - loss 0.10940275 - time (sec): 34.39 - samples/sec: 17119.20 - lr: 0.050000 2023-04-06 00:29:20,820 epoch 80 - iter 1325/2650 - loss 0.10921831 - time (sec): 42.98 - samples/sec: 17140.97 - lr: 0.050000 2023-04-06 00:29:29,464 epoch 80 - iter 1590/2650 - loss 0.10869373 - time (sec): 51.62 - samples/sec: 17138.68 - lr: 0.050000 2023-04-06 00:29:38,159 epoch 80 - iter 1855/2650 - loss 0.10870918 - time (sec): 60.32 - samples/sec: 17136.09 - lr: 0.050000 2023-04-06 00:29:46,695 epoch 80 - iter 2120/2650 - loss 0.10833203 - time (sec): 68.85 - samples/sec: 17128.15 - lr: 0.050000 2023-04-06 00:29:55,332 epoch 80 - iter 2385/2650 - loss 0.10803373 - time (sec): 77.49 - samples/sec: 17119.82 - lr: 0.050000 2023-04-06 00:30:03,922 epoch 80 - iter 2650/2650 - loss 0.10795399 - time (sec): 86.08 - samples/sec: 17121.29 - lr: 0.050000 2023-04-06 00:30:03,922 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:30:03,922 EPOCH 80 done: loss 0.1080 - lr 0.050000 2023-04-06 00:30:03,922 BAD EPOCHS (no improvement): 0 2023-04-06 00:30:03,927 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:30:12,425 epoch 81 - iter 265/2650 - loss 0.10646556 - time (sec): 8.50 - samples/sec: 17166.54 - lr: 0.050000 2023-04-06 00:30:21,083 epoch 81 - iter 530/2650 - loss 0.10647776 - time (sec): 17.16 - samples/sec: 17116.28 - lr: 0.050000 2023-04-06 00:30:29,618 epoch 81 - iter 795/2650 - loss 0.10541902 - time (sec): 25.69 - samples/sec: 17126.82 - lr: 0.050000 2023-04-06 00:30:38,263 epoch 81 - iter 1060/2650 - loss 0.10552067 - time (sec): 34.34 - samples/sec: 17109.28 - lr: 0.050000 2023-04-06 00:30:46,971 epoch 81 - iter 1325/2650 - loss 0.10554601 - time (sec): 43.04 - samples/sec: 17092.96 - lr: 0.050000 2023-04-06 00:30:55,626 epoch 81 - iter 1590/2650 - loss 0.10579968 - time (sec): 51.70 - samples/sec: 17091.66 - lr: 0.050000 2023-04-06 00:31:04,246 epoch 81 - iter 1855/2650 - loss 0.10546309 - time (sec): 60.32 - samples/sec: 17107.76 - lr: 0.050000 2023-04-06 00:31:12,919 epoch 81 - iter 2120/2650 - loss 0.10561733 - time (sec): 68.99 - samples/sec: 17106.98 - lr: 0.050000 2023-04-06 00:31:21,499 epoch 81 - iter 2385/2650 - loss 0.10585413 - time (sec): 77.57 - samples/sec: 17101.98 - lr: 0.050000 2023-04-06 00:31:30,162 epoch 81 - iter 2650/2650 - loss 0.10602037 - time (sec): 86.24 - samples/sec: 17090.61 - lr: 0.050000 2023-04-06 00:31:30,163 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:31:30,163 EPOCH 81 done: loss 0.1060 - lr 0.050000 2023-04-06 00:31:30,163 BAD EPOCHS (no improvement): 0 2023-04-06 00:31:30,167 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:31:38,714 epoch 82 - iter 265/2650 - loss 0.10402228 - time (sec): 8.55 - samples/sec: 17172.75 - lr: 0.050000 2023-04-06 00:31:47,449 epoch 82 - iter 530/2650 - loss 0.10569981 - time (sec): 17.28 - samples/sec: 17137.33 - lr: 0.050000 2023-04-06 00:31:56,055 epoch 82 - iter 795/2650 - loss 0.10499151 - time (sec): 25.89 - samples/sec: 17127.62 - lr: 0.050000 2023-04-06 00:32:04,650 epoch 82 - iter 1060/2650 - loss 0.10506312 - time (sec): 34.48 - samples/sec: 17127.51 - lr: 0.050000 2023-04-06 00:32:13,293 epoch 82 - iter 1325/2650 - loss 0.10462961 - time (sec): 43.13 - samples/sec: 17115.01 - lr: 0.050000 2023-04-06 00:32:21,974 epoch 82 - iter 1590/2650 - loss 0.10435483 - time (sec): 51.81 - samples/sec: 17098.27 - lr: 0.050000 2023-04-06 00:32:30,736 epoch 82 - iter 1855/2650 - loss 0.10474518 - time (sec): 60.57 - samples/sec: 17081.06 - lr: 0.050000 2023-04-06 00:32:39,363 epoch 82 - iter 2120/2650 - loss 0.10490892 - time (sec): 69.20 - samples/sec: 17079.02 - lr: 0.050000 2023-04-06 00:32:47,888 epoch 82 - iter 2385/2650 - loss 0.10480721 - time (sec): 77.72 - samples/sec: 17076.20 - lr: 0.050000 2023-04-06 00:32:56,462 epoch 82 - iter 2650/2650 - loss 0.10486685 - time (sec): 86.30 - samples/sec: 17078.81 - lr: 0.050000 2023-04-06 00:32:56,463 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:32:56,463 EPOCH 82 done: loss 0.1049 - lr 0.050000 2023-04-06 00:32:56,463 BAD EPOCHS (no improvement): 0 2023-04-06 00:32:56,467 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:33:05,096 epoch 83 - iter 265/2650 - loss 0.10068158 - time (sec): 8.63 - samples/sec: 17127.76 - lr: 0.050000 2023-04-06 00:33:13,751 epoch 83 - iter 530/2650 - loss 0.10176968 - time (sec): 17.28 - samples/sec: 17143.13 - lr: 0.050000 2023-04-06 00:33:22,378 epoch 83 - iter 795/2650 - loss 0.10409947 - time (sec): 25.91 - samples/sec: 17100.91 - lr: 0.050000 2023-04-06 00:33:31,115 epoch 83 - iter 1060/2650 - loss 0.10394188 - time (sec): 34.65 - samples/sec: 17070.15 - lr: 0.050000 2023-04-06 00:33:39,862 epoch 83 - iter 1325/2650 - loss 0.10346933 - time (sec): 43.40 - samples/sec: 17069.92 - lr: 0.050000 2023-04-06 00:33:48,503 epoch 83 - iter 1590/2650 - loss 0.10383527 - time (sec): 52.04 - samples/sec: 17082.81 - lr: 0.050000 2023-04-06 00:33:57,033 epoch 83 - iter 1855/2650 - loss 0.10353455 - time (sec): 60.57 - samples/sec: 17087.60 - lr: 0.050000 2023-04-06 00:34:05,616 epoch 83 - iter 2120/2650 - loss 0.10330008 - time (sec): 69.15 - samples/sec: 17079.52 - lr: 0.050000 2023-04-06 00:34:14,172 epoch 83 - iter 2385/2650 - loss 0.10357366 - time (sec): 77.71 - samples/sec: 17086.20 - lr: 0.050000 2023-04-06 00:34:22,673 epoch 83 - iter 2650/2650 - loss 0.10366360 - time (sec): 86.21 - samples/sec: 17096.53 - lr: 0.050000 2023-04-06 00:34:22,673 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:34:22,673 EPOCH 83 done: loss 0.1037 - lr 0.050000 2023-04-06 00:34:22,673 BAD EPOCHS (no improvement): 0 2023-04-06 00:34:22,677 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:34:31,188 epoch 84 - iter 265/2650 - loss 0.10264541 - time (sec): 8.51 - samples/sec: 17182.86 - lr: 0.050000 2023-04-06 00:34:39,730 epoch 84 - iter 530/2650 - loss 0.10208387 - time (sec): 17.05 - samples/sec: 17184.87 - lr: 0.050000 2023-04-06 00:34:48,308 epoch 84 - iter 795/2650 - loss 0.10215842 - time (sec): 25.63 - samples/sec: 17166.07 - lr: 0.050000 2023-04-06 00:34:56,990 epoch 84 - iter 1060/2650 - loss 0.10267351 - time (sec): 34.31 - samples/sec: 17175.21 - lr: 0.050000 2023-04-06 00:35:05,524 epoch 84 - iter 1325/2650 - loss 0.10215323 - time (sec): 42.85 - samples/sec: 17165.68 - lr: 0.050000 2023-04-06 00:35:14,161 epoch 84 - iter 1590/2650 - loss 0.10201239 - time (sec): 51.48 - samples/sec: 17153.85 - lr: 0.050000 2023-04-06 00:35:22,790 epoch 84 - iter 1855/2650 - loss 0.10194907 - time (sec): 60.11 - samples/sec: 17151.88 - lr: 0.050000 2023-04-06 00:35:31,384 epoch 84 - iter 2120/2650 - loss 0.10194300 - time (sec): 68.71 - samples/sec: 17151.44 - lr: 0.050000 2023-04-06 00:35:40,022 epoch 84 - iter 2385/2650 - loss 0.10207165 - time (sec): 77.35 - samples/sec: 17146.99 - lr: 0.050000 2023-04-06 00:35:48,689 epoch 84 - iter 2650/2650 - loss 0.10208262 - time (sec): 86.01 - samples/sec: 17135.15 - lr: 0.050000 2023-04-06 00:35:48,689 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:35:48,689 EPOCH 84 done: loss 0.1021 - lr 0.050000 2023-04-06 00:35:48,689 BAD EPOCHS (no improvement): 0 2023-04-06 00:35:48,695 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:35:57,290 epoch 85 - iter 265/2650 - loss 0.10135894 - time (sec): 8.59 - samples/sec: 17285.64 - lr: 0.050000 2023-04-06 00:36:05,871 epoch 85 - iter 530/2650 - loss 0.10174068 - time (sec): 17.17 - samples/sec: 17241.65 - lr: 0.050000 2023-04-06 00:36:14,526 epoch 85 - iter 795/2650 - loss 0.10220314 - time (sec): 25.83 - samples/sec: 17196.98 - lr: 0.050000 2023-04-06 00:36:23,184 epoch 85 - iter 1060/2650 - loss 0.10243910 - time (sec): 34.49 - samples/sec: 17163.75 - lr: 0.050000 2023-04-06 00:36:31,807 epoch 85 - iter 1325/2650 - loss 0.10284114 - time (sec): 43.11 - samples/sec: 17168.17 - lr: 0.050000 2023-04-06 00:36:44,128 epoch 85 - iter 1590/2650 - loss 0.10236888 - time (sec): 55.43 - samples/sec: 15992.62 - lr: 0.050000 2023-04-06 00:36:52,715 epoch 85 - iter 1855/2650 - loss 0.10224765 - time (sec): 64.02 - samples/sec: 16147.08 - lr: 0.050000 2023-04-06 00:37:01,295 epoch 85 - iter 2120/2650 - loss 0.10232995 - time (sec): 72.60 - samples/sec: 16275.68 - lr: 0.050000 2023-04-06 00:37:09,851 epoch 85 - iter 2385/2650 - loss 0.10276557 - time (sec): 81.16 - samples/sec: 16363.64 - lr: 0.050000 2023-04-06 00:37:18,442 epoch 85 - iter 2650/2650 - loss 0.10267645 - time (sec): 89.75 - samples/sec: 16422.06 - lr: 0.050000 2023-04-06 00:37:18,442 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:37:18,442 EPOCH 85 done: loss 0.1027 - lr 0.050000 2023-04-06 00:37:18,442 BAD EPOCHS (no improvement): 1 2023-04-06 00:37:18,446 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:37:27,008 epoch 86 - iter 265/2650 - loss 0.10111486 - time (sec): 8.56 - samples/sec: 17160.95 - lr: 0.050000 2023-04-06 00:37:35,620 epoch 86 - iter 530/2650 - loss 0.10139018 - time (sec): 17.17 - samples/sec: 17164.83 - lr: 0.050000 2023-04-06 00:37:44,156 epoch 86 - iter 795/2650 - loss 0.10139333 - time (sec): 25.71 - samples/sec: 17151.63 - lr: 0.050000 2023-04-06 00:37:52,896 epoch 86 - iter 1060/2650 - loss 0.10206355 - time (sec): 34.45 - samples/sec: 17135.55 - lr: 0.050000 2023-04-06 00:38:01,575 epoch 86 - iter 1325/2650 - loss 0.10261886 - time (sec): 43.13 - samples/sec: 17121.36 - lr: 0.050000 2023-04-06 00:38:10,101 epoch 86 - iter 1590/2650 - loss 0.10251538 - time (sec): 51.65 - samples/sec: 17116.75 - lr: 0.050000 2023-04-06 00:38:18,752 epoch 86 - iter 1855/2650 - loss 0.10257793 - time (sec): 60.31 - samples/sec: 17122.97 - lr: 0.050000 2023-04-06 00:38:27,454 epoch 86 - iter 2120/2650 - loss 0.10251540 - time (sec): 69.01 - samples/sec: 17127.41 - lr: 0.050000 2023-04-06 00:38:36,020 epoch 86 - iter 2385/2650 - loss 0.10235499 - time (sec): 77.57 - samples/sec: 17132.13 - lr: 0.050000 2023-04-06 00:38:44,568 epoch 86 - iter 2650/2650 - loss 0.10220844 - time (sec): 86.12 - samples/sec: 17113.22 - lr: 0.050000 2023-04-06 00:38:44,568 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:38:44,568 EPOCH 86 done: loss 0.1022 - lr 0.050000 2023-04-06 00:38:44,569 BAD EPOCHS (no improvement): 2 2023-04-06 00:38:44,572 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:38:53,202 epoch 87 - iter 265/2650 - loss 0.10010616 - time (sec): 8.63 - samples/sec: 17085.39 - lr: 0.050000 2023-04-06 00:39:01,855 epoch 87 - iter 530/2650 - loss 0.10051948 - time (sec): 17.28 - samples/sec: 17057.67 - lr: 0.050000 2023-04-06 00:39:10,480 epoch 87 - iter 795/2650 - loss 0.09974002 - time (sec): 25.91 - samples/sec: 17072.91 - lr: 0.050000 2023-04-06 00:39:19,083 epoch 87 - iter 1060/2650 - loss 0.10107992 - time (sec): 34.51 - samples/sec: 17050.83 - lr: 0.050000 2023-04-06 00:39:27,824 epoch 87 - iter 1325/2650 - loss 0.10114509 - time (sec): 43.25 - samples/sec: 17045.76 - lr: 0.050000 2023-04-06 00:39:36,522 epoch 87 - iter 1590/2650 - loss 0.10095407 - time (sec): 51.95 - samples/sec: 17046.03 - lr: 0.050000 2023-04-06 00:39:45,004 epoch 87 - iter 1855/2650 - loss 0.10095533 - time (sec): 60.43 - samples/sec: 17040.49 - lr: 0.050000 2023-04-06 00:39:53,625 epoch 87 - iter 2120/2650 - loss 0.10119804 - time (sec): 69.05 - samples/sec: 17048.10 - lr: 0.050000 2023-04-06 00:40:02,261 epoch 87 - iter 2385/2650 - loss 0.10147471 - time (sec): 77.69 - samples/sec: 17048.53 - lr: 0.050000 2023-04-06 00:40:10,951 epoch 87 - iter 2650/2650 - loss 0.10176324 - time (sec): 86.38 - samples/sec: 17062.38 - lr: 0.050000 2023-04-06 00:40:10,951 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:40:10,951 EPOCH 87 done: loss 0.1018 - lr 0.050000 2023-04-06 00:40:10,951 BAD EPOCHS (no improvement): 0 2023-04-06 00:40:10,955 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:40:19,480 epoch 88 - iter 265/2650 - loss 0.10158256 - time (sec): 8.53 - samples/sec: 17293.07 - lr: 0.050000 2023-04-06 00:40:28,149 epoch 88 - iter 530/2650 - loss 0.10237411 - time (sec): 17.19 - samples/sec: 17240.48 - lr: 0.050000 2023-04-06 00:40:36,713 epoch 88 - iter 795/2650 - loss 0.10187348 - time (sec): 25.76 - samples/sec: 17195.76 - lr: 0.050000 2023-04-06 00:40:45,290 epoch 88 - iter 1060/2650 - loss 0.10184399 - time (sec): 34.33 - samples/sec: 17175.68 - lr: 0.050000 2023-04-06 00:40:53,985 epoch 88 - iter 1325/2650 - loss 0.10185992 - time (sec): 43.03 - samples/sec: 17161.89 - lr: 0.050000 2023-04-06 00:41:02,572 epoch 88 - iter 1590/2650 - loss 0.10139317 - time (sec): 51.62 - samples/sec: 17159.03 - lr: 0.050000 2023-04-06 00:41:11,140 epoch 88 - iter 1855/2650 - loss 0.10122838 - time (sec): 60.18 - samples/sec: 17150.09 - lr: 0.050000 2023-04-06 00:41:19,833 epoch 88 - iter 2120/2650 - loss 0.10082890 - time (sec): 68.88 - samples/sec: 17136.80 - lr: 0.050000 2023-04-06 00:41:28,424 epoch 88 - iter 2385/2650 - loss 0.10109660 - time (sec): 77.47 - samples/sec: 17118.68 - lr: 0.050000 2023-04-06 00:41:37,144 epoch 88 - iter 2650/2650 - loss 0.10145811 - time (sec): 86.19 - samples/sec: 17099.94 - lr: 0.050000 2023-04-06 00:41:37,144 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:41:37,144 EPOCH 88 done: loss 0.1015 - lr 0.050000 2023-04-06 00:41:37,144 BAD EPOCHS (no improvement): 0 2023-04-06 00:41:37,148 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:41:45,856 epoch 89 - iter 265/2650 - loss 0.09980848 - time (sec): 8.71 - samples/sec: 16958.95 - lr: 0.050000 2023-04-06 00:41:54,549 epoch 89 - iter 530/2650 - loss 0.10076252 - time (sec): 17.40 - samples/sec: 16996.74 - lr: 0.050000 2023-04-06 00:42:03,183 epoch 89 - iter 795/2650 - loss 0.09997727 - time (sec): 26.03 - samples/sec: 16995.91 - lr: 0.050000 2023-04-06 00:42:11,890 epoch 89 - iter 1060/2650 - loss 0.09993774 - time (sec): 34.74 - samples/sec: 16982.22 - lr: 0.050000 2023-04-06 00:42:20,570 epoch 89 - iter 1325/2650 - loss 0.10009724 - time (sec): 43.42 - samples/sec: 16977.45 - lr: 0.050000 2023-04-06 00:42:29,301 epoch 89 - iter 1590/2650 - loss 0.10058229 - time (sec): 52.15 - samples/sec: 16978.11 - lr: 0.050000 2023-04-06 00:42:38,038 epoch 89 - iter 1855/2650 - loss 0.10082311 - time (sec): 60.89 - samples/sec: 16975.11 - lr: 0.050000 2023-04-06 00:42:46,643 epoch 89 - iter 2120/2650 - loss 0.10090288 - time (sec): 69.50 - samples/sec: 16974.31 - lr: 0.050000 2023-04-06 00:42:55,377 epoch 89 - iter 2385/2650 - loss 0.10072145 - time (sec): 78.23 - samples/sec: 16972.68 - lr: 0.050000 2023-04-06 00:43:03,997 epoch 89 - iter 2650/2650 - loss 0.10073493 - time (sec): 86.85 - samples/sec: 16969.85 - lr: 0.050000 2023-04-06 00:43:03,998 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:43:03,998 EPOCH 89 done: loss 0.1007 - lr 0.050000 2023-04-06 00:43:03,998 BAD EPOCHS (no improvement): 0 2023-04-06 00:43:04,002 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:43:12,592 epoch 90 - iter 265/2650 - loss 0.09795755 - time (sec): 8.59 - samples/sec: 17132.94 - lr: 0.050000 2023-04-06 00:43:21,178 epoch 90 - iter 530/2650 - loss 0.09936434 - time (sec): 17.18 - samples/sec: 17116.17 - lr: 0.050000 2023-04-06 00:43:29,932 epoch 90 - iter 795/2650 - loss 0.10013905 - time (sec): 25.93 - samples/sec: 17122.59 - lr: 0.050000 2023-04-06 00:43:38,616 epoch 90 - iter 1060/2650 - loss 0.09976950 - time (sec): 34.61 - samples/sec: 17137.26 - lr: 0.050000 2023-04-06 00:43:47,227 epoch 90 - iter 1325/2650 - loss 0.10018461 - time (sec): 43.23 - samples/sec: 17121.03 - lr: 0.050000 2023-04-06 00:43:55,901 epoch 90 - iter 1590/2650 - loss 0.10005125 - time (sec): 51.90 - samples/sec: 17104.11 - lr: 0.050000 2023-04-06 00:44:04,496 epoch 90 - iter 1855/2650 - loss 0.10026552 - time (sec): 60.49 - samples/sec: 17114.99 - lr: 0.050000 2023-04-06 00:44:13,006 epoch 90 - iter 2120/2650 - loss 0.10010254 - time (sec): 69.00 - samples/sec: 17122.78 - lr: 0.050000 2023-04-06 00:44:21,639 epoch 90 - iter 2385/2650 - loss 0.09995442 - time (sec): 77.64 - samples/sec: 17113.61 - lr: 0.050000 2023-04-06 00:44:30,209 epoch 90 - iter 2650/2650 - loss 0.10003284 - time (sec): 86.21 - samples/sec: 17096.38 - lr: 0.050000 2023-04-06 00:44:30,209 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:44:30,209 EPOCH 90 done: loss 0.1000 - lr 0.050000 2023-04-06 00:44:30,209 BAD EPOCHS (no improvement): 0 2023-04-06 00:44:30,214 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:44:38,669 epoch 91 - iter 265/2650 - loss 0.09891768 - time (sec): 8.45 - samples/sec: 17149.96 - lr: 0.050000 2023-04-06 00:44:47,377 epoch 91 - iter 530/2650 - loss 0.10040431 - time (sec): 17.16 - samples/sec: 17111.57 - lr: 0.050000 2023-04-06 00:44:55,978 epoch 91 - iter 795/2650 - loss 0.10033808 - time (sec): 25.76 - samples/sec: 17060.98 - lr: 0.050000 2023-04-06 00:45:04,579 epoch 91 - iter 1060/2650 - loss 0.09993674 - time (sec): 34.37 - samples/sec: 17039.67 - lr: 0.050000 2023-04-06 00:45:13,240 epoch 91 - iter 1325/2650 - loss 0.09896890 - time (sec): 43.03 - samples/sec: 17046.18 - lr: 0.050000 2023-04-06 00:45:21,903 epoch 91 - iter 1590/2650 - loss 0.09944321 - time (sec): 51.69 - samples/sec: 17043.47 - lr: 0.050000 2023-04-06 00:45:34,667 epoch 91 - iter 1855/2650 - loss 0.09962243 - time (sec): 64.45 - samples/sec: 15982.97 - lr: 0.050000 2023-04-06 00:45:43,249 epoch 91 - iter 2120/2650 - loss 0.09959899 - time (sec): 73.04 - samples/sec: 16136.39 - lr: 0.050000 2023-04-06 00:45:51,802 epoch 91 - iter 2385/2650 - loss 0.09952738 - time (sec): 81.59 - samples/sec: 16240.60 - lr: 0.050000 2023-04-06 00:46:00,535 epoch 91 - iter 2650/2650 - loss 0.09971310 - time (sec): 90.32 - samples/sec: 16317.54 - lr: 0.050000 2023-04-06 00:46:00,535 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:46:00,536 EPOCH 91 done: loss 0.0997 - lr 0.050000 2023-04-06 00:46:00,536 BAD EPOCHS (no improvement): 0 2023-04-06 00:46:00,543 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:46:09,304 epoch 92 - iter 265/2650 - loss 0.09786813 - time (sec): 8.76 - samples/sec: 17029.40 - lr: 0.050000 2023-04-06 00:46:18,004 epoch 92 - iter 530/2650 - loss 0.09767145 - time (sec): 17.46 - samples/sec: 17024.55 - lr: 0.050000 2023-04-06 00:46:26,677 epoch 92 - iter 795/2650 - loss 0.09838975 - time (sec): 26.13 - samples/sec: 16994.44 - lr: 0.050000 2023-04-06 00:46:35,400 epoch 92 - iter 1060/2650 - loss 0.09898594 - time (sec): 34.86 - samples/sec: 16982.85 - lr: 0.050000 2023-04-06 00:46:44,140 epoch 92 - iter 1325/2650 - loss 0.09923571 - time (sec): 43.60 - samples/sec: 17000.34 - lr: 0.050000 2023-04-06 00:46:52,794 epoch 92 - iter 1590/2650 - loss 0.09932592 - time (sec): 52.25 - samples/sec: 17002.31 - lr: 0.050000 2023-04-06 00:47:01,570 epoch 92 - iter 1855/2650 - loss 0.09976611 - time (sec): 61.03 - samples/sec: 16993.13 - lr: 0.050000 2023-04-06 00:47:10,231 epoch 92 - iter 2120/2650 - loss 0.09973791 - time (sec): 69.69 - samples/sec: 16982.73 - lr: 0.050000 2023-04-06 00:47:18,775 epoch 92 - iter 2385/2650 - loss 0.10006129 - time (sec): 78.23 - samples/sec: 16979.38 - lr: 0.050000 2023-04-06 00:47:27,366 epoch 92 - iter 2650/2650 - loss 0.10014370 - time (sec): 86.82 - samples/sec: 16975.12 - lr: 0.050000 2023-04-06 00:47:27,366 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:47:27,367 EPOCH 92 done: loss 0.1001 - lr 0.050000 2023-04-06 00:47:27,367 BAD EPOCHS (no improvement): 1 2023-04-06 00:47:27,370 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:47:36,139 epoch 93 - iter 265/2650 - loss 0.10113562 - time (sec): 8.77 - samples/sec: 16889.66 - lr: 0.050000 2023-04-06 00:47:44,724 epoch 93 - iter 530/2650 - loss 0.09942689 - time (sec): 17.35 - samples/sec: 16907.64 - lr: 0.050000 2023-04-06 00:47:53,365 epoch 93 - iter 795/2650 - loss 0.09916973 - time (sec): 25.99 - samples/sec: 16947.14 - lr: 0.050000 2023-04-06 00:48:02,093 epoch 93 - iter 1060/2650 - loss 0.09893220 - time (sec): 34.72 - samples/sec: 16937.77 - lr: 0.050000 2023-04-06 00:48:10,817 epoch 93 - iter 1325/2650 - loss 0.09865902 - time (sec): 43.45 - samples/sec: 16947.92 - lr: 0.050000 2023-04-06 00:48:19,466 epoch 93 - iter 1590/2650 - loss 0.09917233 - time (sec): 52.10 - samples/sec: 16950.06 - lr: 0.050000 2023-04-06 00:48:28,109 epoch 93 - iter 1855/2650 - loss 0.09918020 - time (sec): 60.74 - samples/sec: 16963.27 - lr: 0.050000 2023-04-06 00:48:36,843 epoch 93 - iter 2120/2650 - loss 0.09913299 - time (sec): 69.47 - samples/sec: 16977.02 - lr: 0.050000 2023-04-06 00:48:45,490 epoch 93 - iter 2385/2650 - loss 0.09934475 - time (sec): 78.12 - samples/sec: 16962.52 - lr: 0.050000 2023-04-06 00:48:54,291 epoch 93 - iter 2650/2650 - loss 0.09950157 - time (sec): 86.92 - samples/sec: 16955.97 - lr: 0.050000 2023-04-06 00:48:54,291 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:48:54,291 EPOCH 93 done: loss 0.0995 - lr 0.050000 2023-04-06 00:48:54,292 BAD EPOCHS (no improvement): 0 2023-04-06 00:48:54,295 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:49:03,091 epoch 94 - iter 265/2650 - loss 0.09966204 - time (sec): 8.80 - samples/sec: 17017.75 - lr: 0.050000 2023-04-06 00:49:11,738 epoch 94 - iter 530/2650 - loss 0.09889682 - time (sec): 17.44 - samples/sec: 17055.06 - lr: 0.050000 2023-04-06 00:49:20,348 epoch 94 - iter 795/2650 - loss 0.09886540 - time (sec): 26.05 - samples/sec: 17093.96 - lr: 0.050000 2023-04-06 00:49:28,881 epoch 94 - iter 1060/2650 - loss 0.09884276 - time (sec): 34.59 - samples/sec: 17116.82 - lr: 0.050000 2023-04-06 00:49:37,456 epoch 94 - iter 1325/2650 - loss 0.09883549 - time (sec): 43.16 - samples/sec: 17125.67 - lr: 0.050000 2023-04-06 00:49:45,892 epoch 94 - iter 1590/2650 - loss 0.09876635 - time (sec): 51.60 - samples/sec: 17137.77 - lr: 0.050000 2023-04-06 00:49:54,492 epoch 94 - iter 1855/2650 - loss 0.09879645 - time (sec): 60.20 - samples/sec: 17130.90 - lr: 0.050000 2023-04-06 00:50:03,024 epoch 94 - iter 2120/2650 - loss 0.09876447 - time (sec): 68.73 - samples/sec: 17135.80 - lr: 0.050000 2023-04-06 00:50:11,578 epoch 94 - iter 2385/2650 - loss 0.09892541 - time (sec): 77.28 - samples/sec: 17146.88 - lr: 0.050000 2023-04-06 00:50:20,203 epoch 94 - iter 2650/2650 - loss 0.09870168 - time (sec): 85.91 - samples/sec: 17155.95 - lr: 0.050000 2023-04-06 00:50:20,203 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:50:20,203 EPOCH 94 done: loss 0.0987 - lr 0.050000 2023-04-06 00:50:20,203 BAD EPOCHS (no improvement): 0 2023-04-06 00:50:20,206 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:50:28,816 epoch 95 - iter 265/2650 - loss 0.09763995 - time (sec): 8.61 - samples/sec: 17237.70 - lr: 0.050000 2023-04-06 00:50:37,458 epoch 95 - iter 530/2650 - loss 0.09699100 - time (sec): 17.25 - samples/sec: 17195.36 - lr: 0.050000 2023-04-06 00:50:45,991 epoch 95 - iter 795/2650 - loss 0.09788728 - time (sec): 25.78 - samples/sec: 17214.37 - lr: 0.050000 2023-04-06 00:50:54,518 epoch 95 - iter 1060/2650 - loss 0.09858839 - time (sec): 34.31 - samples/sec: 17203.72 - lr: 0.050000 2023-04-06 00:51:03,073 epoch 95 - iter 1325/2650 - loss 0.09883761 - time (sec): 42.87 - samples/sec: 17171.32 - lr: 0.050000 2023-04-06 00:51:11,634 epoch 95 - iter 1590/2650 - loss 0.09915148 - time (sec): 51.43 - samples/sec: 17180.25 - lr: 0.050000 2023-04-06 00:51:20,195 epoch 95 - iter 1855/2650 - loss 0.09925464 - time (sec): 59.99 - samples/sec: 17177.93 - lr: 0.050000 2023-04-06 00:51:28,877 epoch 95 - iter 2120/2650 - loss 0.09914357 - time (sec): 68.67 - samples/sec: 17171.93 - lr: 0.050000 2023-04-06 00:51:37,487 epoch 95 - iter 2385/2650 - loss 0.09895422 - time (sec): 77.28 - samples/sec: 17165.31 - lr: 0.050000 2023-04-06 00:51:46,131 epoch 95 - iter 2650/2650 - loss 0.09888381 - time (sec): 85.92 - samples/sec: 17152.53 - lr: 0.050000 2023-04-06 00:51:46,131 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:51:46,131 EPOCH 95 done: loss 0.0989 - lr 0.050000 2023-04-06 00:51:46,131 BAD EPOCHS (no improvement): 1 2023-04-06 00:51:46,134 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:51:54,786 epoch 96 - iter 265/2650 - loss 0.10020841 - time (sec): 8.65 - samples/sec: 17189.02 - lr: 0.050000 2023-04-06 00:52:03,426 epoch 96 - iter 530/2650 - loss 0.09919245 - time (sec): 17.29 - samples/sec: 17177.13 - lr: 0.050000 2023-04-06 00:52:12,079 epoch 96 - iter 795/2650 - loss 0.09821964 - time (sec): 25.94 - samples/sec: 17165.26 - lr: 0.050000 2023-04-06 00:52:20,658 epoch 96 - iter 1060/2650 - loss 0.09846554 - time (sec): 34.52 - samples/sec: 17140.35 - lr: 0.050000 2023-04-06 00:52:29,151 epoch 96 - iter 1325/2650 - loss 0.09819344 - time (sec): 43.02 - samples/sec: 17123.18 - lr: 0.050000 2023-04-06 00:52:37,693 epoch 96 - iter 1590/2650 - loss 0.09827865 - time (sec): 51.56 - samples/sec: 17108.57 - lr: 0.050000 2023-04-06 00:52:46,295 epoch 96 - iter 1855/2650 - loss 0.09823574 - time (sec): 60.16 - samples/sec: 17115.47 - lr: 0.050000 2023-04-06 00:52:54,956 epoch 96 - iter 2120/2650 - loss 0.09883706 - time (sec): 68.82 - samples/sec: 17111.00 - lr: 0.050000 2023-04-06 00:53:03,626 epoch 96 - iter 2385/2650 - loss 0.09902300 - time (sec): 77.49 - samples/sec: 17110.03 - lr: 0.050000 2023-04-06 00:53:12,289 epoch 96 - iter 2650/2650 - loss 0.09904931 - time (sec): 86.15 - samples/sec: 17106.85 - lr: 0.050000 2023-04-06 00:53:12,289 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:53:12,289 EPOCH 96 done: loss 0.0990 - lr 0.050000 2023-04-06 00:53:12,289 BAD EPOCHS (no improvement): 2 2023-04-06 00:53:12,293 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:53:20,901 epoch 97 - iter 265/2650 - loss 0.09764511 - time (sec): 8.61 - samples/sec: 17258.64 - lr: 0.050000 2023-04-06 00:53:29,587 epoch 97 - iter 530/2650 - loss 0.09830776 - time (sec): 17.29 - samples/sec: 17256.26 - lr: 0.050000 2023-04-06 00:53:38,313 epoch 97 - iter 795/2650 - loss 0.09801270 - time (sec): 26.02 - samples/sec: 17193.04 - lr: 0.050000 2023-04-06 00:53:46,926 epoch 97 - iter 1060/2650 - loss 0.09799232 - time (sec): 34.63 - samples/sec: 17143.38 - lr: 0.050000 2023-04-06 00:53:55,430 epoch 97 - iter 1325/2650 - loss 0.09751100 - time (sec): 43.14 - samples/sec: 17134.61 - lr: 0.050000 2023-04-06 00:54:04,063 epoch 97 - iter 1590/2650 - loss 0.09801582 - time (sec): 51.77 - samples/sec: 17140.52 - lr: 0.050000 2023-04-06 00:54:12,656 epoch 97 - iter 1855/2650 - loss 0.09784809 - time (sec): 60.36 - samples/sec: 17120.21 - lr: 0.050000 2023-04-06 00:54:21,254 epoch 97 - iter 2120/2650 - loss 0.09790191 - time (sec): 68.96 - samples/sec: 17118.25 - lr: 0.050000 2023-04-06 00:54:33,630 epoch 97 - iter 2385/2650 - loss 0.09811285 - time (sec): 81.34 - samples/sec: 16306.44 - lr: 0.050000 2023-04-06 00:54:42,191 epoch 97 - iter 2650/2650 - loss 0.09819772 - time (sec): 89.90 - samples/sec: 16394.45 - lr: 0.050000 2023-04-06 00:54:42,191 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:54:42,191 EPOCH 97 done: loss 0.0982 - lr 0.050000 2023-04-06 00:54:42,191 BAD EPOCHS (no improvement): 0 2023-04-06 00:54:42,194 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:54:50,806 epoch 98 - iter 265/2650 - loss 0.09662087 - time (sec): 8.61 - samples/sec: 17161.84 - lr: 0.050000 2023-04-06 00:54:59,311 epoch 98 - iter 530/2650 - loss 0.09681734 - time (sec): 17.12 - samples/sec: 17197.07 - lr: 0.050000 2023-04-06 00:55:07,859 epoch 98 - iter 795/2650 - loss 0.09662157 - time (sec): 25.66 - samples/sec: 17142.05 - lr: 0.050000 2023-04-06 00:55:16,443 epoch 98 - iter 1060/2650 - loss 0.09719037 - time (sec): 34.25 - samples/sec: 17134.54 - lr: 0.050000 2023-04-06 00:55:25,114 epoch 98 - iter 1325/2650 - loss 0.09773090 - time (sec): 42.92 - samples/sec: 17106.83 - lr: 0.050000 2023-04-06 00:55:33,769 epoch 98 - iter 1590/2650 - loss 0.09808788 - time (sec): 51.57 - samples/sec: 17112.65 - lr: 0.050000 2023-04-06 00:55:42,433 epoch 98 - iter 1855/2650 - loss 0.09811000 - time (sec): 60.24 - samples/sec: 17097.62 - lr: 0.050000 2023-04-06 00:55:51,081 epoch 98 - iter 2120/2650 - loss 0.09833500 - time (sec): 68.89 - samples/sec: 17091.74 - lr: 0.050000 2023-04-06 00:55:59,714 epoch 98 - iter 2385/2650 - loss 0.09844406 - time (sec): 77.52 - samples/sec: 17100.09 - lr: 0.050000 2023-04-06 00:56:08,414 epoch 98 - iter 2650/2650 - loss 0.09840684 - time (sec): 86.22 - samples/sec: 17093.83 - lr: 0.050000 2023-04-06 00:56:08,414 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:56:08,414 EPOCH 98 done: loss 0.0984 - lr 0.050000 2023-04-06 00:56:08,414 BAD EPOCHS (no improvement): 1 2023-04-06 00:56:08,421 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:56:17,017 epoch 99 - iter 265/2650 - loss 0.09815220 - time (sec): 8.60 - samples/sec: 17111.44 - lr: 0.050000 2023-04-06 00:56:25,626 epoch 99 - iter 530/2650 - loss 0.09777480 - time (sec): 17.21 - samples/sec: 17116.05 - lr: 0.050000 2023-04-06 00:56:34,229 epoch 99 - iter 795/2650 - loss 0.09747426 - time (sec): 25.81 - samples/sec: 17122.83 - lr: 0.050000 2023-04-06 00:56:42,908 epoch 99 - iter 1060/2650 - loss 0.09777129 - time (sec): 34.49 - samples/sec: 17105.63 - lr: 0.050000 2023-04-06 00:56:51,525 epoch 99 - iter 1325/2650 - loss 0.09779377 - time (sec): 43.10 - samples/sec: 17103.90 - lr: 0.050000 2023-04-06 00:57:00,146 epoch 99 - iter 1590/2650 - loss 0.09809004 - time (sec): 51.72 - samples/sec: 17094.73 - lr: 0.050000 2023-04-06 00:57:08,829 epoch 99 - iter 1855/2650 - loss 0.09836405 - time (sec): 60.41 - samples/sec: 17091.71 - lr: 0.050000 2023-04-06 00:57:17,347 epoch 99 - iter 2120/2650 - loss 0.09833207 - time (sec): 68.93 - samples/sec: 17096.59 - lr: 0.050000 2023-04-06 00:57:25,984 epoch 99 - iter 2385/2650 - loss 0.09871646 - time (sec): 77.56 - samples/sec: 17088.40 - lr: 0.050000 2023-04-06 00:57:34,700 epoch 99 - iter 2650/2650 - loss 0.09854189 - time (sec): 86.28 - samples/sec: 17082.07 - lr: 0.050000 2023-04-06 00:57:34,701 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:57:34,701 EPOCH 99 done: loss 0.0985 - lr 0.050000 2023-04-06 00:57:34,701 BAD EPOCHS (no improvement): 2 2023-04-06 00:57:34,705 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:57:43,265 epoch 100 - iter 265/2650 - loss 0.09736676 - time (sec): 8.56 - samples/sec: 17282.04 - lr: 0.050000 2023-04-06 00:57:51,844 epoch 100 - iter 530/2650 - loss 0.09756047 - time (sec): 17.14 - samples/sec: 17172.08 - lr: 0.050000 2023-04-06 00:58:00,420 epoch 100 - iter 795/2650 - loss 0.09727938 - time (sec): 25.71 - samples/sec: 17135.76 - lr: 0.050000 2023-04-06 00:58:09,070 epoch 100 - iter 1060/2650 - loss 0.09693737 - time (sec): 34.36 - samples/sec: 17083.86 - lr: 0.050000 2023-04-06 00:58:17,766 epoch 100 - iter 1325/2650 - loss 0.09683128 - time (sec): 43.06 - samples/sec: 17075.14 - lr: 0.050000 2023-04-06 00:58:26,454 epoch 100 - iter 1590/2650 - loss 0.09691369 - time (sec): 51.75 - samples/sec: 17063.77 - lr: 0.050000 2023-04-06 00:58:35,101 epoch 100 - iter 1855/2650 - loss 0.09674217 - time (sec): 60.40 - samples/sec: 17062.96 - lr: 0.050000 2023-04-06 00:58:43,787 epoch 100 - iter 2120/2650 - loss 0.09694809 - time (sec): 69.08 - samples/sec: 17059.08 - lr: 0.050000 2023-04-06 00:58:52,439 epoch 100 - iter 2385/2650 - loss 0.09714438 - time (sec): 77.73 - samples/sec: 17053.81 - lr: 0.050000 2023-04-06 00:59:01,131 epoch 100 - iter 2650/2650 - loss 0.09724490 - time (sec): 86.43 - samples/sec: 17053.03 - lr: 0.050000 2023-04-06 00:59:01,131 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:59:01,131 EPOCH 100 done: loss 0.0972 - lr 0.050000 2023-04-06 00:59:01,131 BAD EPOCHS (no improvement): 0 2023-04-06 00:59:01,135 ---------------------------------------------------------------------------------------------------- 2023-04-06 00:59:09,720 epoch 101 - iter 265/2650 - loss 0.09793434 - time (sec): 8.59 - samples/sec: 17011.52 - lr: 0.050000 2023-04-06 00:59:18,432 epoch 101 - iter 530/2650 - loss 0.09806788 - time (sec): 17.30 - samples/sec: 17025.11 - lr: 0.050000 2023-04-06 00:59:27,024 epoch 101 - iter 795/2650 - loss 0.09740525 - time (sec): 25.89 - samples/sec: 17031.16 - lr: 0.050000 2023-04-06 00:59:35,528 epoch 101 - iter 1060/2650 - loss 0.09743071 - time (sec): 34.39 - samples/sec: 17015.68 - lr: 0.050000 2023-04-06 00:59:44,322 epoch 101 - iter 1325/2650 - loss 0.09772930 - time (sec): 43.19 - samples/sec: 17015.35 - lr: 0.050000 2023-04-06 00:59:53,061 epoch 101 - iter 1590/2650 - loss 0.09798642 - time (sec): 51.93 - samples/sec: 17022.30 - lr: 0.050000 2023-04-06 01:00:01,693 epoch 101 - iter 1855/2650 - loss 0.09794168 - time (sec): 60.56 - samples/sec: 17021.52 - lr: 0.050000 2023-04-06 01:00:10,359 epoch 101 - iter 2120/2650 - loss 0.09822555 - time (sec): 69.22 - samples/sec: 17018.61 - lr: 0.050000 2023-04-06 01:00:18,908 epoch 101 - iter 2385/2650 - loss 0.09843277 - time (sec): 77.77 - samples/sec: 17028.47 - lr: 0.050000 2023-04-06 01:00:27,609 epoch 101 - iter 2650/2650 - loss 0.09800777 - time (sec): 86.47 - samples/sec: 17043.50 - lr: 0.050000 2023-04-06 01:00:27,609 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:00:27,609 EPOCH 101 done: loss 0.0980 - lr 0.050000 2023-04-06 01:00:27,609 BAD EPOCHS (no improvement): 1 2023-04-06 01:00:27,613 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:00:36,082 epoch 102 - iter 265/2650 - loss 0.09465424 - time (sec): 8.47 - samples/sec: 17134.31 - lr: 0.050000 2023-04-06 01:00:44,669 epoch 102 - iter 530/2650 - loss 0.09604103 - time (sec): 17.06 - samples/sec: 17136.22 - lr: 0.050000 2023-04-06 01:00:53,331 epoch 102 - iter 795/2650 - loss 0.09679259 - time (sec): 25.72 - samples/sec: 17157.38 - lr: 0.050000 2023-04-06 01:01:01,944 epoch 102 - iter 1060/2650 - loss 0.09673950 - time (sec): 34.33 - samples/sec: 17179.57 - lr: 0.050000 2023-04-06 01:01:10,511 epoch 102 - iter 1325/2650 - loss 0.09647309 - time (sec): 42.90 - samples/sec: 17187.40 - lr: 0.050000 2023-04-06 01:01:19,045 epoch 102 - iter 1590/2650 - loss 0.09657373 - time (sec): 51.43 - samples/sec: 17176.17 - lr: 0.050000 2023-04-06 01:01:27,693 epoch 102 - iter 1855/2650 - loss 0.09705425 - time (sec): 60.08 - samples/sec: 17180.72 - lr: 0.050000 2023-04-06 01:01:36,230 epoch 102 - iter 2120/2650 - loss 0.09730057 - time (sec): 68.62 - samples/sec: 17184.16 - lr: 0.050000 2023-04-06 01:01:44,763 epoch 102 - iter 2385/2650 - loss 0.09743325 - time (sec): 77.15 - samples/sec: 17179.54 - lr: 0.050000 2023-04-06 01:01:53,456 epoch 102 - iter 2650/2650 - loss 0.09730517 - time (sec): 85.84 - samples/sec: 17168.79 - lr: 0.050000 2023-04-06 01:01:53,457 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:01:53,457 EPOCH 102 done: loss 0.0973 - lr 0.050000 2023-04-06 01:01:53,457 BAD EPOCHS (no improvement): 2 2023-04-06 01:01:53,461 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:02:02,057 epoch 103 - iter 265/2650 - loss 0.09590908 - time (sec): 8.60 - samples/sec: 17118.07 - lr: 0.050000 2023-04-06 01:02:10,620 epoch 103 - iter 530/2650 - loss 0.09636353 - time (sec): 17.16 - samples/sec: 17123.22 - lr: 0.050000 2023-04-06 01:02:19,196 epoch 103 - iter 795/2650 - loss 0.09620951 - time (sec): 25.73 - samples/sec: 17124.50 - lr: 0.050000 2023-04-06 01:02:27,862 epoch 103 - iter 1060/2650 - loss 0.09575963 - time (sec): 34.40 - samples/sec: 17128.57 - lr: 0.050000 2023-04-06 01:02:36,320 epoch 103 - iter 1325/2650 - loss 0.09606134 - time (sec): 42.86 - samples/sec: 17158.88 - lr: 0.050000 2023-04-06 01:02:44,845 epoch 103 - iter 1590/2650 - loss 0.09619506 - time (sec): 51.38 - samples/sec: 17171.75 - lr: 0.050000 2023-04-06 01:02:53,398 epoch 103 - iter 1855/2650 - loss 0.09610207 - time (sec): 59.94 - samples/sec: 17162.82 - lr: 0.050000 2023-04-06 01:03:02,142 epoch 103 - iter 2120/2650 - loss 0.09633837 - time (sec): 68.68 - samples/sec: 17159.39 - lr: 0.050000 2023-04-06 01:03:10,750 epoch 103 - iter 2385/2650 - loss 0.09690199 - time (sec): 77.29 - samples/sec: 17169.57 - lr: 0.050000 2023-04-06 01:03:23,158 epoch 103 - iter 2650/2650 - loss 0.09708682 - time (sec): 89.70 - samples/sec: 16431.30 - lr: 0.050000 2023-04-06 01:03:23,158 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:03:23,158 EPOCH 103 done: loss 0.0971 - lr 0.050000 2023-04-06 01:03:23,158 BAD EPOCHS (no improvement): 0 2023-04-06 01:03:23,162 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:03:31,670 epoch 104 - iter 265/2650 - loss 0.09622134 - time (sec): 8.51 - samples/sec: 17291.35 - lr: 0.050000 2023-04-06 01:03:40,244 epoch 104 - iter 530/2650 - loss 0.09603655 - time (sec): 17.08 - samples/sec: 17321.54 - lr: 0.050000 2023-04-06 01:03:48,849 epoch 104 - iter 795/2650 - loss 0.09564139 - time (sec): 25.69 - samples/sec: 17295.75 - lr: 0.050000 2023-04-06 01:03:57,405 epoch 104 - iter 1060/2650 - loss 0.09518626 - time (sec): 34.24 - samples/sec: 17251.54 - lr: 0.050000 2023-04-06 01:04:06,102 epoch 104 - iter 1325/2650 - loss 0.09566197 - time (sec): 42.94 - samples/sec: 17217.14 - lr: 0.050000 2023-04-06 01:04:14,630 epoch 104 - iter 1590/2650 - loss 0.09605741 - time (sec): 51.47 - samples/sec: 17232.20 - lr: 0.050000 2023-04-06 01:04:23,082 epoch 104 - iter 1855/2650 - loss 0.09639280 - time (sec): 59.92 - samples/sec: 17223.70 - lr: 0.050000 2023-04-06 01:04:31,766 epoch 104 - iter 2120/2650 - loss 0.09613424 - time (sec): 68.60 - samples/sec: 17218.83 - lr: 0.050000 2023-04-06 01:04:40,380 epoch 104 - iter 2385/2650 - loss 0.09645815 - time (sec): 77.22 - samples/sec: 17209.50 - lr: 0.050000 2023-04-06 01:04:48,833 epoch 104 - iter 2650/2650 - loss 0.09667254 - time (sec): 85.67 - samples/sec: 17203.35 - lr: 0.050000 2023-04-06 01:04:48,833 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:04:48,833 EPOCH 104 done: loss 0.0967 - lr 0.050000 2023-04-06 01:04:48,833 BAD EPOCHS (no improvement): 0 2023-04-06 01:04:48,840 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:04:57,407 epoch 105 - iter 265/2650 - loss 0.09725205 - time (sec): 8.57 - samples/sec: 17243.03 - lr: 0.050000 2023-04-06 01:05:05,998 epoch 105 - iter 530/2650 - loss 0.09730220 - time (sec): 17.16 - samples/sec: 17204.62 - lr: 0.050000 2023-04-06 01:05:14,550 epoch 105 - iter 795/2650 - loss 0.09712482 - time (sec): 25.71 - samples/sec: 17205.51 - lr: 0.050000 2023-04-06 01:05:23,037 epoch 105 - iter 1060/2650 - loss 0.09710377 - time (sec): 34.20 - samples/sec: 17208.67 - lr: 0.050000 2023-04-06 01:05:31,656 epoch 105 - iter 1325/2650 - loss 0.09706110 - time (sec): 42.82 - samples/sec: 17198.20 - lr: 0.050000 2023-04-06 01:05:40,297 epoch 105 - iter 1590/2650 - loss 0.09704819 - time (sec): 51.46 - samples/sec: 17194.83 - lr: 0.050000 2023-04-06 01:05:48,916 epoch 105 - iter 1855/2650 - loss 0.09672628 - time (sec): 60.08 - samples/sec: 17190.91 - lr: 0.050000 2023-04-06 01:05:57,548 epoch 105 - iter 2120/2650 - loss 0.09687671 - time (sec): 68.71 - samples/sec: 17187.00 - lr: 0.050000 2023-04-06 01:06:06,090 epoch 105 - iter 2385/2650 - loss 0.09679776 - time (sec): 77.25 - samples/sec: 17180.74 - lr: 0.050000 2023-04-06 01:06:14,645 epoch 105 - iter 2650/2650 - loss 0.09670696 - time (sec): 85.80 - samples/sec: 17176.51 - lr: 0.050000 2023-04-06 01:06:14,645 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:06:14,645 EPOCH 105 done: loss 0.0967 - lr 0.050000 2023-04-06 01:06:14,645 BAD EPOCHS (no improvement): 1 2023-04-06 01:06:14,652 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:06:23,183 epoch 106 - iter 265/2650 - loss 0.09281595 - time (sec): 8.53 - samples/sec: 17210.66 - lr: 0.050000 2023-04-06 01:06:31,786 epoch 106 - iter 530/2650 - loss 0.09408982 - time (sec): 17.13 - samples/sec: 17196.56 - lr: 0.050000 2023-04-06 01:06:40,339 epoch 106 - iter 795/2650 - loss 0.09413846 - time (sec): 25.69 - samples/sec: 17212.67 - lr: 0.050000 2023-04-06 01:06:48,953 epoch 106 - iter 1060/2650 - loss 0.09547330 - time (sec): 34.30 - samples/sec: 17196.13 - lr: 0.050000 2023-04-06 01:06:57,536 epoch 106 - iter 1325/2650 - loss 0.09617198 - time (sec): 42.88 - samples/sec: 17201.54 - lr: 0.050000 2023-04-06 01:07:06,186 epoch 106 - iter 1590/2650 - loss 0.09646782 - time (sec): 51.53 - samples/sec: 17185.43 - lr: 0.050000 2023-04-06 01:07:14,781 epoch 106 - iter 1855/2650 - loss 0.09671754 - time (sec): 60.13 - samples/sec: 17168.32 - lr: 0.050000 2023-04-06 01:07:23,386 epoch 106 - iter 2120/2650 - loss 0.09697874 - time (sec): 68.73 - samples/sec: 17168.64 - lr: 0.050000 2023-04-06 01:07:31,927 epoch 106 - iter 2385/2650 - loss 0.09687774 - time (sec): 77.27 - samples/sec: 17179.97 - lr: 0.050000 2023-04-06 01:07:40,458 epoch 106 - iter 2650/2650 - loss 0.09676834 - time (sec): 85.81 - samples/sec: 17176.37 - lr: 0.050000 2023-04-06 01:07:40,458 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:07:40,458 EPOCH 106 done: loss 0.0968 - lr 0.050000 2023-04-06 01:07:40,458 BAD EPOCHS (no improvement): 2 2023-04-06 01:07:40,462 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:07:48,969 epoch 107 - iter 265/2650 - loss 0.09561956 - time (sec): 8.51 - samples/sec: 17267.18 - lr: 0.050000 2023-04-06 01:07:57,622 epoch 107 - iter 530/2650 - loss 0.09779562 - time (sec): 17.16 - samples/sec: 17256.00 - lr: 0.050000 2023-04-06 01:08:06,276 epoch 107 - iter 795/2650 - loss 0.09657824 - time (sec): 25.81 - samples/sec: 17236.57 - lr: 0.050000 2023-04-06 01:08:14,833 epoch 107 - iter 1060/2650 - loss 0.09598205 - time (sec): 34.37 - samples/sec: 17228.01 - lr: 0.050000 2023-04-06 01:08:23,401 epoch 107 - iter 1325/2650 - loss 0.09546928 - time (sec): 42.94 - samples/sec: 17215.59 - lr: 0.050000 2023-04-06 01:08:31,912 epoch 107 - iter 1590/2650 - loss 0.09541110 - time (sec): 51.45 - samples/sec: 17207.18 - lr: 0.050000 2023-04-06 01:08:40,517 epoch 107 - iter 1855/2650 - loss 0.09549953 - time (sec): 60.05 - samples/sec: 17188.77 - lr: 0.050000 2023-04-06 01:08:49,089 epoch 107 - iter 2120/2650 - loss 0.09559104 - time (sec): 68.63 - samples/sec: 17167.76 - lr: 0.050000 2023-04-06 01:08:57,845 epoch 107 - iter 2385/2650 - loss 0.09580660 - time (sec): 77.38 - samples/sec: 17151.29 - lr: 0.050000 2023-04-06 01:09:06,397 epoch 107 - iter 2650/2650 - loss 0.09592909 - time (sec): 85.94 - samples/sec: 17150.42 - lr: 0.050000 2023-04-06 01:09:06,397 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:09:06,397 EPOCH 107 done: loss 0.0959 - lr 0.050000 2023-04-06 01:09:06,397 BAD EPOCHS (no improvement): 0 2023-04-06 01:09:06,401 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:09:15,039 epoch 108 - iter 265/2650 - loss 0.09428011 - time (sec): 8.64 - samples/sec: 17119.23 - lr: 0.050000 2023-04-06 01:09:23,641 epoch 108 - iter 530/2650 - loss 0.09543292 - time (sec): 17.24 - samples/sec: 17143.95 - lr: 0.050000 2023-04-06 01:09:32,210 epoch 108 - iter 795/2650 - loss 0.09554782 - time (sec): 25.81 - samples/sec: 17141.57 - lr: 0.050000 2023-04-06 01:09:40,859 epoch 108 - iter 1060/2650 - loss 0.09614396 - time (sec): 34.46 - samples/sec: 17140.25 - lr: 0.050000 2023-04-06 01:09:49,431 epoch 108 - iter 1325/2650 - loss 0.09676173 - time (sec): 43.03 - samples/sec: 17132.85 - lr: 0.050000 2023-04-06 01:09:58,011 epoch 108 - iter 1590/2650 - loss 0.09701813 - time (sec): 51.61 - samples/sec: 17119.73 - lr: 0.050000 2023-04-06 01:10:06,700 epoch 108 - iter 1855/2650 - loss 0.09650702 - time (sec): 60.30 - samples/sec: 17112.23 - lr: 0.050000 2023-04-06 01:10:15,358 epoch 108 - iter 2120/2650 - loss 0.09648833 - time (sec): 68.96 - samples/sec: 17108.01 - lr: 0.050000 2023-04-06 01:10:24,023 epoch 108 - iter 2385/2650 - loss 0.09687673 - time (sec): 77.62 - samples/sec: 17106.81 - lr: 0.050000 2023-04-06 01:10:32,629 epoch 108 - iter 2650/2650 - loss 0.09662517 - time (sec): 86.23 - samples/sec: 17092.27 - lr: 0.050000 2023-04-06 01:10:32,629 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:10:32,629 EPOCH 108 done: loss 0.0966 - lr 0.050000 2023-04-06 01:10:32,629 BAD EPOCHS (no improvement): 1 2023-04-06 01:10:32,632 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:10:41,311 epoch 109 - iter 265/2650 - loss 0.09400585 - time (sec): 8.68 - samples/sec: 17068.99 - lr: 0.050000 2023-04-06 01:10:49,869 epoch 109 - iter 530/2650 - loss 0.09583034 - time (sec): 17.24 - samples/sec: 17082.49 - lr: 0.050000 2023-04-06 01:10:58,512 epoch 109 - iter 795/2650 - loss 0.09620284 - time (sec): 25.88 - samples/sec: 17101.89 - lr: 0.050000 2023-04-06 01:11:07,113 epoch 109 - iter 1060/2650 - loss 0.09609521 - time (sec): 34.48 - samples/sec: 17077.15 - lr: 0.050000 2023-04-06 01:11:15,586 epoch 109 - iter 1325/2650 - loss 0.09575419 - time (sec): 42.95 - samples/sec: 17062.41 - lr: 0.050000 2023-04-06 01:11:24,201 epoch 109 - iter 1590/2650 - loss 0.09607152 - time (sec): 51.57 - samples/sec: 17046.29 - lr: 0.050000 2023-04-06 01:11:32,895 epoch 109 - iter 1855/2650 - loss 0.09599069 - time (sec): 60.26 - samples/sec: 17047.24 - lr: 0.050000 2023-04-06 01:11:41,504 epoch 109 - iter 2120/2650 - loss 0.09604272 - time (sec): 68.87 - samples/sec: 17052.46 - lr: 0.050000 2023-04-06 01:11:50,280 epoch 109 - iter 2385/2650 - loss 0.09587406 - time (sec): 77.65 - samples/sec: 17057.33 - lr: 0.050000 2023-04-06 01:11:59,064 epoch 109 - iter 2650/2650 - loss 0.09593727 - time (sec): 86.43 - samples/sec: 17051.84 - lr: 0.050000 2023-04-06 01:11:59,064 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:11:59,064 EPOCH 109 done: loss 0.0959 - lr 0.050000 2023-04-06 01:11:59,064 BAD EPOCHS (no improvement): 2 2023-04-06 01:11:59,069 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:12:07,728 epoch 110 - iter 265/2650 - loss 0.09535152 - time (sec): 8.66 - samples/sec: 17096.53 - lr: 0.050000 2023-04-06 01:12:20,352 epoch 110 - iter 530/2650 - loss 0.09510187 - time (sec): 21.28 - samples/sec: 13982.57 - lr: 0.050000 2023-04-06 01:12:28,807 epoch 110 - iter 795/2650 - loss 0.09429382 - time (sec): 29.74 - samples/sec: 14942.30 - lr: 0.050000 2023-04-06 01:12:37,333 epoch 110 - iter 1060/2650 - loss 0.09380122 - time (sec): 38.26 - samples/sec: 15468.30 - lr: 0.050000 2023-04-06 01:12:45,890 epoch 110 - iter 1325/2650 - loss 0.09457896 - time (sec): 46.82 - samples/sec: 15769.61 - lr: 0.050000 2023-04-06 01:12:54,442 epoch 110 - iter 1590/2650 - loss 0.09503131 - time (sec): 55.37 - samples/sec: 15978.27 - lr: 0.050000 2023-04-06 01:13:03,126 epoch 110 - iter 1855/2650 - loss 0.09526863 - time (sec): 64.06 - samples/sec: 16128.63 - lr: 0.050000 2023-04-06 01:13:11,719 epoch 110 - iter 2120/2650 - loss 0.09558848 - time (sec): 72.65 - samples/sec: 16235.39 - lr: 0.050000 2023-04-06 01:13:20,331 epoch 110 - iter 2385/2650 - loss 0.09576676 - time (sec): 81.26 - samples/sec: 16329.39 - lr: 0.050000 2023-04-06 01:13:28,929 epoch 110 - iter 2650/2650 - loss 0.09564113 - time (sec): 89.86 - samples/sec: 16401.18 - lr: 0.050000 2023-04-06 01:13:28,930 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:13:28,930 EPOCH 110 done: loss 0.0956 - lr 0.050000 2023-04-06 01:13:28,930 BAD EPOCHS (no improvement): 0 2023-04-06 01:13:28,933 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:13:37,644 epoch 111 - iter 265/2650 - loss 0.09544921 - time (sec): 8.71 - samples/sec: 17157.49 - lr: 0.050000 2023-04-06 01:13:46,173 epoch 111 - iter 530/2650 - loss 0.09487987 - time (sec): 17.24 - samples/sec: 17140.53 - lr: 0.050000 2023-04-06 01:13:54,843 epoch 111 - iter 795/2650 - loss 0.09467033 - time (sec): 25.91 - samples/sec: 17115.25 - lr: 0.050000 2023-04-06 01:14:03,450 epoch 111 - iter 1060/2650 - loss 0.09474328 - time (sec): 34.52 - samples/sec: 17117.66 - lr: 0.050000 2023-04-06 01:14:12,011 epoch 111 - iter 1325/2650 - loss 0.09468223 - time (sec): 43.08 - samples/sec: 17122.63 - lr: 0.050000 2023-04-06 01:14:20,560 epoch 111 - iter 1590/2650 - loss 0.09521801 - time (sec): 51.63 - samples/sec: 17112.68 - lr: 0.050000 2023-04-06 01:14:29,292 epoch 111 - iter 1855/2650 - loss 0.09537488 - time (sec): 60.36 - samples/sec: 17110.60 - lr: 0.050000 2023-04-06 01:14:37,839 epoch 111 - iter 2120/2650 - loss 0.09591530 - time (sec): 68.91 - samples/sec: 17113.14 - lr: 0.050000 2023-04-06 01:14:46,389 epoch 111 - iter 2385/2650 - loss 0.09582507 - time (sec): 77.46 - samples/sec: 17114.98 - lr: 0.050000 2023-04-06 01:14:55,076 epoch 111 - iter 2650/2650 - loss 0.09575964 - time (sec): 86.14 - samples/sec: 17109.08 - lr: 0.050000 2023-04-06 01:14:55,076 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:14:55,076 EPOCH 111 done: loss 0.0958 - lr 0.050000 2023-04-06 01:14:55,076 BAD EPOCHS (no improvement): 1 2023-04-06 01:14:55,080 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:15:03,591 epoch 112 - iter 265/2650 - loss 0.09355315 - time (sec): 8.51 - samples/sec: 17111.04 - lr: 0.050000 2023-04-06 01:15:12,088 epoch 112 - iter 530/2650 - loss 0.09482403 - time (sec): 17.01 - samples/sec: 17136.13 - lr: 0.050000 2023-04-06 01:15:20,712 epoch 112 - iter 795/2650 - loss 0.09586545 - time (sec): 25.63 - samples/sec: 17141.94 - lr: 0.050000 2023-04-06 01:15:29,415 epoch 112 - iter 1060/2650 - loss 0.09577852 - time (sec): 34.34 - samples/sec: 17098.61 - lr: 0.050000 2023-04-06 01:15:38,004 epoch 112 - iter 1325/2650 - loss 0.09566392 - time (sec): 42.92 - samples/sec: 17104.10 - lr: 0.050000 2023-04-06 01:15:46,589 epoch 112 - iter 1590/2650 - loss 0.09589503 - time (sec): 51.51 - samples/sec: 17095.03 - lr: 0.050000 2023-04-06 01:15:55,307 epoch 112 - iter 1855/2650 - loss 0.09551516 - time (sec): 60.23 - samples/sec: 17090.69 - lr: 0.050000 2023-04-06 01:16:03,967 epoch 112 - iter 2120/2650 - loss 0.09548121 - time (sec): 68.89 - samples/sec: 17093.05 - lr: 0.050000 2023-04-06 01:16:12,613 epoch 112 - iter 2385/2650 - loss 0.09579278 - time (sec): 77.53 - samples/sec: 17103.55 - lr: 0.050000 2023-04-06 01:16:21,220 epoch 112 - iter 2650/2650 - loss 0.09591713 - time (sec): 86.14 - samples/sec: 17109.48 - lr: 0.050000 2023-04-06 01:16:21,221 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:16:21,221 EPOCH 112 done: loss 0.0959 - lr 0.050000 2023-04-06 01:16:21,221 BAD EPOCHS (no improvement): 2 2023-04-06 01:16:21,228 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:16:29,920 epoch 113 - iter 265/2650 - loss 0.09525162 - time (sec): 8.69 - samples/sec: 17162.40 - lr: 0.050000 2023-04-06 01:16:38,669 epoch 113 - iter 530/2650 - loss 0.09571046 - time (sec): 17.44 - samples/sec: 17101.92 - lr: 0.050000 2023-04-06 01:16:47,146 epoch 113 - iter 795/2650 - loss 0.09481648 - time (sec): 25.92 - samples/sec: 17109.57 - lr: 0.050000 2023-04-06 01:16:55,724 epoch 113 - iter 1060/2650 - loss 0.09513414 - time (sec): 34.50 - samples/sec: 17108.96 - lr: 0.050000 2023-04-06 01:17:04,506 epoch 113 - iter 1325/2650 - loss 0.09526022 - time (sec): 43.28 - samples/sec: 17104.40 - lr: 0.050000 2023-04-06 01:17:13,057 epoch 113 - iter 1590/2650 - loss 0.09530669 - time (sec): 51.83 - samples/sec: 17102.10 - lr: 0.050000 2023-04-06 01:17:21,602 epoch 113 - iter 1855/2650 - loss 0.09557693 - time (sec): 60.37 - samples/sec: 17112.06 - lr: 0.050000 2023-04-06 01:17:30,115 epoch 113 - iter 2120/2650 - loss 0.09524219 - time (sec): 68.89 - samples/sec: 17114.72 - lr: 0.050000 2023-04-06 01:17:38,727 epoch 113 - iter 2385/2650 - loss 0.09564190 - time (sec): 77.50 - samples/sec: 17118.68 - lr: 0.050000 2023-04-06 01:17:47,274 epoch 113 - iter 2650/2650 - loss 0.09568467 - time (sec): 86.05 - samples/sec: 17128.46 - lr: 0.050000 2023-04-06 01:17:47,274 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:17:47,274 EPOCH 113 done: loss 0.0957 - lr 0.050000 2023-04-06 01:17:47,274 BAD EPOCHS (no improvement): 3 2023-04-06 01:17:47,278 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:17:55,922 epoch 114 - iter 265/2650 - loss 0.09358829 - time (sec): 8.64 - samples/sec: 17202.85 - lr: 0.050000 2023-04-06 01:18:04,412 epoch 114 - iter 530/2650 - loss 0.09457514 - time (sec): 17.13 - samples/sec: 17170.62 - lr: 0.050000 2023-04-06 01:18:13,112 epoch 114 - iter 795/2650 - loss 0.09513610 - time (sec): 25.83 - samples/sec: 17168.00 - lr: 0.050000 2023-04-06 01:18:21,611 epoch 114 - iter 1060/2650 - loss 0.09516857 - time (sec): 34.33 - samples/sec: 17177.37 - lr: 0.050000 2023-04-06 01:18:30,163 epoch 114 - iter 1325/2650 - loss 0.09497746 - time (sec): 42.88 - samples/sec: 17173.32 - lr: 0.050000 2023-04-06 01:18:38,758 epoch 114 - iter 1590/2650 - loss 0.09472575 - time (sec): 51.48 - samples/sec: 17174.12 - lr: 0.050000 2023-04-06 01:18:47,344 epoch 114 - iter 1855/2650 - loss 0.09468019 - time (sec): 60.07 - samples/sec: 17173.17 - lr: 0.050000 2023-04-06 01:18:55,917 epoch 114 - iter 2120/2650 - loss 0.09478996 - time (sec): 68.64 - samples/sec: 17175.09 - lr: 0.050000 2023-04-06 01:19:04,555 epoch 114 - iter 2385/2650 - loss 0.09489856 - time (sec): 77.28 - samples/sec: 17174.23 - lr: 0.050000 2023-04-06 01:19:13,153 epoch 114 - iter 2650/2650 - loss 0.09518616 - time (sec): 85.87 - samples/sec: 17162.45 - lr: 0.050000 2023-04-06 01:19:13,153 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:19:13,153 EPOCH 114 done: loss 0.0952 - lr 0.050000 2023-04-06 01:19:13,153 BAD EPOCHS (no improvement): 0 2023-04-06 01:19:13,157 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:19:21,709 epoch 115 - iter 265/2650 - loss 0.09642623 - time (sec): 8.55 - samples/sec: 17127.01 - lr: 0.050000 2023-04-06 01:19:30,246 epoch 115 - iter 530/2650 - loss 0.09581170 - time (sec): 17.09 - samples/sec: 17145.21 - lr: 0.050000 2023-04-06 01:19:38,807 epoch 115 - iter 795/2650 - loss 0.09536577 - time (sec): 25.65 - samples/sec: 17164.54 - lr: 0.050000 2023-04-06 01:19:47,366 epoch 115 - iter 1060/2650 - loss 0.09515540 - time (sec): 34.21 - samples/sec: 17142.40 - lr: 0.050000 2023-04-06 01:19:56,042 epoch 115 - iter 1325/2650 - loss 0.09534056 - time (sec): 42.88 - samples/sec: 17149.18 - lr: 0.050000 2023-04-06 01:20:04,679 epoch 115 - iter 1590/2650 - loss 0.09517052 - time (sec): 51.52 - samples/sec: 17167.97 - lr: 0.050000 2023-04-06 01:20:13,294 epoch 115 - iter 1855/2650 - loss 0.09531985 - time (sec): 60.14 - samples/sec: 17166.74 - lr: 0.050000 2023-04-06 01:20:21,933 epoch 115 - iter 2120/2650 - loss 0.09524854 - time (sec): 68.78 - samples/sec: 17157.29 - lr: 0.050000 2023-04-06 01:20:30,485 epoch 115 - iter 2385/2650 - loss 0.09503235 - time (sec): 77.33 - samples/sec: 17152.59 - lr: 0.050000 2023-04-06 01:20:39,079 epoch 115 - iter 2650/2650 - loss 0.09492027 - time (sec): 85.92 - samples/sec: 17153.06 - lr: 0.050000 2023-04-06 01:20:39,079 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:20:39,079 EPOCH 115 done: loss 0.0949 - lr 0.050000 2023-04-06 01:20:39,079 BAD EPOCHS (no improvement): 0 2023-04-06 01:20:39,083 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:20:47,604 epoch 116 - iter 265/2650 - loss 0.09544022 - time (sec): 8.52 - samples/sec: 17242.53 - lr: 0.050000 2023-04-06 01:20:56,279 epoch 116 - iter 530/2650 - loss 0.09610293 - time (sec): 17.20 - samples/sec: 17228.00 - lr: 0.050000 2023-04-06 01:21:04,827 epoch 116 - iter 795/2650 - loss 0.09511223 - time (sec): 25.74 - samples/sec: 17196.10 - lr: 0.050000 2023-04-06 01:21:17,184 epoch 116 - iter 1060/2650 - loss 0.09427893 - time (sec): 38.10 - samples/sec: 15487.40 - lr: 0.050000 2023-04-06 01:21:25,662 epoch 116 - iter 1325/2650 - loss 0.09462251 - time (sec): 46.58 - samples/sec: 15816.19 - lr: 0.050000 2023-04-06 01:21:34,232 epoch 116 - iter 1590/2650 - loss 0.09509298 - time (sec): 55.15 - samples/sec: 16024.97 - lr: 0.050000 2023-04-06 01:21:42,876 epoch 116 - iter 1855/2650 - loss 0.09492736 - time (sec): 63.79 - samples/sec: 16193.38 - lr: 0.050000 2023-04-06 01:21:51,454 epoch 116 - iter 2120/2650 - loss 0.09518962 - time (sec): 72.37 - samples/sec: 16298.89 - lr: 0.050000 2023-04-06 01:22:00,109 epoch 116 - iter 2385/2650 - loss 0.09505970 - time (sec): 81.03 - samples/sec: 16381.29 - lr: 0.050000 2023-04-06 01:22:08,617 epoch 116 - iter 2650/2650 - loss 0.09509778 - time (sec): 89.53 - samples/sec: 16460.94 - lr: 0.050000 2023-04-06 01:22:08,618 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:22:08,618 EPOCH 116 done: loss 0.0951 - lr 0.050000 2023-04-06 01:22:08,618 BAD EPOCHS (no improvement): 1 2023-04-06 01:22:08,621 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:22:17,053 epoch 117 - iter 265/2650 - loss 0.09418155 - time (sec): 8.43 - samples/sec: 17290.56 - lr: 0.050000 2023-04-06 01:22:25,642 epoch 117 - iter 530/2650 - loss 0.09402521 - time (sec): 17.02 - samples/sec: 17231.30 - lr: 0.050000 2023-04-06 01:22:34,211 epoch 117 - iter 795/2650 - loss 0.09425968 - time (sec): 25.59 - samples/sec: 17244.38 - lr: 0.050000 2023-04-06 01:22:42,774 epoch 117 - iter 1060/2650 - loss 0.09394655 - time (sec): 34.15 - samples/sec: 17227.94 - lr: 0.050000 2023-04-06 01:22:51,328 epoch 117 - iter 1325/2650 - loss 0.09403922 - time (sec): 42.71 - samples/sec: 17247.62 - lr: 0.050000 2023-04-06 01:22:59,813 epoch 117 - iter 1590/2650 - loss 0.09344815 - time (sec): 51.19 - samples/sec: 17254.86 - lr: 0.050000 2023-04-06 01:23:08,390 epoch 117 - iter 1855/2650 - loss 0.09408443 - time (sec): 59.77 - samples/sec: 17241.74 - lr: 0.050000 2023-04-06 01:23:16,988 epoch 117 - iter 2120/2650 - loss 0.09431211 - time (sec): 68.37 - samples/sec: 17241.32 - lr: 0.050000 2023-04-06 01:23:25,612 epoch 117 - iter 2385/2650 - loss 0.09428586 - time (sec): 76.99 - samples/sec: 17236.90 - lr: 0.050000 2023-04-06 01:23:34,142 epoch 117 - iter 2650/2650 - loss 0.09404967 - time (sec): 85.52 - samples/sec: 17233.64 - lr: 0.050000 2023-04-06 01:23:34,142 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:23:34,142 EPOCH 117 done: loss 0.0940 - lr 0.050000 2023-04-06 01:23:34,142 BAD EPOCHS (no improvement): 0 2023-04-06 01:23:34,145 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:23:42,781 epoch 118 - iter 265/2650 - loss 0.09226904 - time (sec): 8.64 - samples/sec: 17235.70 - lr: 0.050000 2023-04-06 01:23:51,227 epoch 118 - iter 530/2650 - loss 0.09365071 - time (sec): 17.08 - samples/sec: 17242.88 - lr: 0.050000 2023-04-06 01:23:59,811 epoch 118 - iter 795/2650 - loss 0.09436246 - time (sec): 25.67 - samples/sec: 17241.30 - lr: 0.050000 2023-04-06 01:24:08,375 epoch 118 - iter 1060/2650 - loss 0.09379822 - time (sec): 34.23 - samples/sec: 17217.93 - lr: 0.050000 2023-04-06 01:24:16,884 epoch 118 - iter 1325/2650 - loss 0.09403284 - time (sec): 42.74 - samples/sec: 17226.80 - lr: 0.050000 2023-04-06 01:24:25,357 epoch 118 - iter 1590/2650 - loss 0.09389193 - time (sec): 51.21 - samples/sec: 17244.17 - lr: 0.050000 2023-04-06 01:24:33,958 epoch 118 - iter 1855/2650 - loss 0.09405347 - time (sec): 59.81 - samples/sec: 17248.48 - lr: 0.050000 2023-04-06 01:24:42,493 epoch 118 - iter 2120/2650 - loss 0.09409042 - time (sec): 68.35 - samples/sec: 17249.97 - lr: 0.050000 2023-04-06 01:24:51,138 epoch 118 - iter 2385/2650 - loss 0.09433558 - time (sec): 76.99 - samples/sec: 17253.69 - lr: 0.050000 2023-04-06 01:24:59,590 epoch 118 - iter 2650/2650 - loss 0.09479988 - time (sec): 85.44 - samples/sec: 17248.97 - lr: 0.050000 2023-04-06 01:24:59,590 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:24:59,590 EPOCH 118 done: loss 0.0948 - lr 0.050000 2023-04-06 01:24:59,590 BAD EPOCHS (no improvement): 1 2023-04-06 01:24:59,593 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:25:08,026 epoch 119 - iter 265/2650 - loss 0.09448974 - time (sec): 8.43 - samples/sec: 17268.42 - lr: 0.050000 2023-04-06 01:25:16,585 epoch 119 - iter 530/2650 - loss 0.09461156 - time (sec): 16.99 - samples/sec: 17236.78 - lr: 0.050000 2023-04-06 01:25:25,133 epoch 119 - iter 795/2650 - loss 0.09427708 - time (sec): 25.54 - samples/sec: 17250.02 - lr: 0.050000 2023-04-06 01:25:33,703 epoch 119 - iter 1060/2650 - loss 0.09487625 - time (sec): 34.11 - samples/sec: 17236.15 - lr: 0.050000 2023-04-06 01:25:42,308 epoch 119 - iter 1325/2650 - loss 0.09516314 - time (sec): 42.71 - samples/sec: 17240.48 - lr: 0.050000 2023-04-06 01:25:50,920 epoch 119 - iter 1590/2650 - loss 0.09448085 - time (sec): 51.33 - samples/sec: 17224.50 - lr: 0.050000 2023-04-06 01:25:59,454 epoch 119 - iter 1855/2650 - loss 0.09455308 - time (sec): 59.86 - samples/sec: 17223.21 - lr: 0.050000 2023-04-06 01:26:07,967 epoch 119 - iter 2120/2650 - loss 0.09470249 - time (sec): 68.37 - samples/sec: 17229.59 - lr: 0.050000 2023-04-06 01:26:16,625 epoch 119 - iter 2385/2650 - loss 0.09479187 - time (sec): 77.03 - samples/sec: 17223.72 - lr: 0.050000 2023-04-06 01:26:25,216 epoch 119 - iter 2650/2650 - loss 0.09489803 - time (sec): 85.62 - samples/sec: 17212.94 - lr: 0.050000 2023-04-06 01:26:25,217 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:26:25,217 EPOCH 119 done: loss 0.0949 - lr 0.050000 2023-04-06 01:26:25,217 BAD EPOCHS (no improvement): 2 2023-04-06 01:26:25,224 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:26:33,754 epoch 120 - iter 265/2650 - loss 0.09318602 - time (sec): 8.53 - samples/sec: 17290.93 - lr: 0.050000 2023-04-06 01:26:42,458 epoch 120 - iter 530/2650 - loss 0.09432669 - time (sec): 17.23 - samples/sec: 17174.39 - lr: 0.050000 2023-04-06 01:26:51,071 epoch 120 - iter 795/2650 - loss 0.09445246 - time (sec): 25.85 - samples/sec: 17173.69 - lr: 0.050000 2023-04-06 01:26:59,597 epoch 120 - iter 1060/2650 - loss 0.09438562 - time (sec): 34.37 - samples/sec: 17151.46 - lr: 0.050000 2023-04-06 01:27:08,198 epoch 120 - iter 1325/2650 - loss 0.09392931 - time (sec): 42.97 - samples/sec: 17147.02 - lr: 0.050000 2023-04-06 01:27:16,819 epoch 120 - iter 1590/2650 - loss 0.09433704 - time (sec): 51.59 - samples/sec: 17147.42 - lr: 0.050000 2023-04-06 01:27:25,398 epoch 120 - iter 1855/2650 - loss 0.09429356 - time (sec): 60.17 - samples/sec: 17143.77 - lr: 0.050000 2023-04-06 01:27:33,985 epoch 120 - iter 2120/2650 - loss 0.09429639 - time (sec): 68.76 - samples/sec: 17146.39 - lr: 0.050000 2023-04-06 01:27:42,595 epoch 120 - iter 2385/2650 - loss 0.09443042 - time (sec): 77.37 - samples/sec: 17147.29 - lr: 0.050000 2023-04-06 01:27:51,239 epoch 120 - iter 2650/2650 - loss 0.09449563 - time (sec): 86.01 - samples/sec: 17134.50 - lr: 0.050000 2023-04-06 01:27:51,239 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:27:51,240 EPOCH 120 done: loss 0.0945 - lr 0.050000 2023-04-06 01:27:51,240 BAD EPOCHS (no improvement): 3 2023-04-06 01:27:51,244 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:27:59,960 epoch 121 - iter 265/2650 - loss 0.09457122 - time (sec): 8.72 - samples/sec: 17081.48 - lr: 0.050000 2023-04-06 01:28:08,462 epoch 121 - iter 530/2650 - loss 0.09408291 - time (sec): 17.22 - samples/sec: 17117.61 - lr: 0.050000 2023-04-06 01:28:17,156 epoch 121 - iter 795/2650 - loss 0.09421974 - time (sec): 25.91 - samples/sec: 17111.32 - lr: 0.050000 2023-04-06 01:28:25,621 epoch 121 - iter 1060/2650 - loss 0.09397486 - time (sec): 34.38 - samples/sec: 17091.37 - lr: 0.050000 2023-04-06 01:28:34,397 epoch 121 - iter 1325/2650 - loss 0.09499334 - time (sec): 43.15 - samples/sec: 17085.86 - lr: 0.050000 2023-04-06 01:28:42,971 epoch 121 - iter 1590/2650 - loss 0.09499622 - time (sec): 51.73 - samples/sec: 17091.05 - lr: 0.050000 2023-04-06 01:28:51,584 epoch 121 - iter 1855/2650 - loss 0.09517018 - time (sec): 60.34 - samples/sec: 17102.51 - lr: 0.050000 2023-04-06 01:29:00,225 epoch 121 - iter 2120/2650 - loss 0.09481267 - time (sec): 68.98 - samples/sec: 17106.34 - lr: 0.050000 2023-04-06 01:29:08,854 epoch 121 - iter 2385/2650 - loss 0.09484655 - time (sec): 77.61 - samples/sec: 17100.73 - lr: 0.050000 2023-04-06 01:29:17,424 epoch 121 - iter 2650/2650 - loss 0.09468988 - time (sec): 86.18 - samples/sec: 17101.62 - lr: 0.050000 2023-04-06 01:29:17,424 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:29:17,424 EPOCH 121 done: loss 0.0947 - lr 0.050000 2023-04-06 01:29:17,424 Epoch 121: reducing learning rate of group 0 to 2.5000e-02. 2023-04-06 01:29:17,424 BAD EPOCHS (no improvement): 4 2023-04-06 01:29:17,428 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:29:25,821 epoch 122 - iter 265/2650 - loss 0.09119404 - time (sec): 8.39 - samples/sec: 17257.93 - lr: 0.025000 2023-04-06 01:29:34,432 epoch 122 - iter 530/2650 - loss 0.09336163 - time (sec): 17.00 - samples/sec: 17284.36 - lr: 0.025000 2023-04-06 01:29:43,079 epoch 122 - iter 795/2650 - loss 0.09233280 - time (sec): 25.65 - samples/sec: 17262.80 - lr: 0.025000 2023-04-06 01:29:51,696 epoch 122 - iter 1060/2650 - loss 0.09223058 - time (sec): 34.27 - samples/sec: 17221.18 - lr: 0.025000 2023-04-06 01:30:04,139 epoch 122 - iter 1325/2650 - loss 0.09185616 - time (sec): 46.71 - samples/sec: 15796.94 - lr: 0.025000 2023-04-06 01:30:12,604 epoch 122 - iter 1590/2650 - loss 0.09174146 - time (sec): 55.18 - samples/sec: 16013.49 - lr: 0.025000 2023-04-06 01:30:21,245 epoch 122 - iter 1855/2650 - loss 0.09166237 - time (sec): 63.82 - samples/sec: 16165.53 - lr: 0.025000 2023-04-06 01:30:29,836 epoch 122 - iter 2120/2650 - loss 0.09147136 - time (sec): 72.41 - samples/sec: 16281.91 - lr: 0.025000 2023-04-06 01:30:38,447 epoch 122 - iter 2385/2650 - loss 0.09137542 - time (sec): 81.02 - samples/sec: 16371.57 - lr: 0.025000 2023-04-06 01:30:47,102 epoch 122 - iter 2650/2650 - loss 0.09134419 - time (sec): 89.67 - samples/sec: 16435.30 - lr: 0.025000 2023-04-06 01:30:47,102 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:30:47,102 EPOCH 122 done: loss 0.0913 - lr 0.025000 2023-04-06 01:30:47,102 BAD EPOCHS (no improvement): 0 2023-04-06 01:30:47,106 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:30:55,729 epoch 123 - iter 265/2650 - loss 0.09176536 - time (sec): 8.62 - samples/sec: 17269.11 - lr: 0.025000 2023-04-06 01:31:04,239 epoch 123 - iter 530/2650 - loss 0.09215733 - time (sec): 17.13 - samples/sec: 17183.49 - lr: 0.025000 2023-04-06 01:31:12,918 epoch 123 - iter 795/2650 - loss 0.09172399 - time (sec): 25.81 - samples/sec: 17112.50 - lr: 0.025000 2023-04-06 01:31:21,612 epoch 123 - iter 1060/2650 - loss 0.09084217 - time (sec): 34.51 - samples/sec: 17115.57 - lr: 0.025000 2023-04-06 01:31:30,115 epoch 123 - iter 1325/2650 - loss 0.09086701 - time (sec): 43.01 - samples/sec: 17119.91 - lr: 0.025000 2023-04-06 01:31:38,803 epoch 123 - iter 1590/2650 - loss 0.09102028 - time (sec): 51.70 - samples/sec: 17114.05 - lr: 0.025000 2023-04-06 01:31:47,376 epoch 123 - iter 1855/2650 - loss 0.09083740 - time (sec): 60.27 - samples/sec: 17112.95 - lr: 0.025000 2023-04-06 01:31:56,036 epoch 123 - iter 2120/2650 - loss 0.09105915 - time (sec): 68.93 - samples/sec: 17106.51 - lr: 0.025000 2023-04-06 01:32:04,528 epoch 123 - iter 2385/2650 - loss 0.09116874 - time (sec): 77.42 - samples/sec: 17129.04 - lr: 0.025000 2023-04-06 01:32:13,104 epoch 123 - iter 2650/2650 - loss 0.09082382 - time (sec): 86.00 - samples/sec: 17137.93 - lr: 0.025000 2023-04-06 01:32:13,104 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:32:13,105 EPOCH 123 done: loss 0.0908 - lr 0.025000 2023-04-06 01:32:13,105 BAD EPOCHS (no improvement): 0 2023-04-06 01:32:13,108 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:32:21,641 epoch 124 - iter 265/2650 - loss 0.09009982 - time (sec): 8.53 - samples/sec: 17239.29 - lr: 0.025000 2023-04-06 01:32:30,229 epoch 124 - iter 530/2650 - loss 0.09046996 - time (sec): 17.12 - samples/sec: 17267.04 - lr: 0.025000 2023-04-06 01:32:38,789 epoch 124 - iter 795/2650 - loss 0.08979589 - time (sec): 25.68 - samples/sec: 17252.17 - lr: 0.025000 2023-04-06 01:32:47,289 epoch 124 - iter 1060/2650 - loss 0.08985204 - time (sec): 34.18 - samples/sec: 17253.35 - lr: 0.025000 2023-04-06 01:32:55,821 epoch 124 - iter 1325/2650 - loss 0.09005414 - time (sec): 42.71 - samples/sec: 17237.53 - lr: 0.025000 2023-04-06 01:33:04,284 epoch 124 - iter 1590/2650 - loss 0.08982391 - time (sec): 51.18 - samples/sec: 17249.10 - lr: 0.025000 2023-04-06 01:33:12,895 epoch 124 - iter 1855/2650 - loss 0.08977971 - time (sec): 59.79 - samples/sec: 17247.58 - lr: 0.025000 2023-04-06 01:33:21,539 epoch 124 - iter 2120/2650 - loss 0.09012451 - time (sec): 68.43 - samples/sec: 17224.58 - lr: 0.025000 2023-04-06 01:33:30,108 epoch 124 - iter 2385/2650 - loss 0.09021422 - time (sec): 77.00 - samples/sec: 17226.46 - lr: 0.025000 2023-04-06 01:33:38,647 epoch 124 - iter 2650/2650 - loss 0.09037322 - time (sec): 85.54 - samples/sec: 17230.02 - lr: 0.025000 2023-04-06 01:33:38,647 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:33:38,647 EPOCH 124 done: loss 0.0904 - lr 0.025000 2023-04-06 01:33:38,647 BAD EPOCHS (no improvement): 0 2023-04-06 01:33:38,650 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:33:47,135 epoch 125 - iter 265/2650 - loss 0.08840071 - time (sec): 8.48 - samples/sec: 17282.49 - lr: 0.025000 2023-04-06 01:33:55,632 epoch 125 - iter 530/2650 - loss 0.08772743 - time (sec): 16.98 - samples/sec: 17276.30 - lr: 0.025000 2023-04-06 01:34:04,139 epoch 125 - iter 795/2650 - loss 0.08844325 - time (sec): 25.49 - samples/sec: 17279.93 - lr: 0.025000 2023-04-06 01:34:12,656 epoch 125 - iter 1060/2650 - loss 0.08846668 - time (sec): 34.01 - samples/sec: 17274.64 - lr: 0.025000 2023-04-06 01:34:21,155 epoch 125 - iter 1325/2650 - loss 0.08895712 - time (sec): 42.50 - samples/sec: 17280.24 - lr: 0.025000 2023-04-06 01:34:29,786 epoch 125 - iter 1590/2650 - loss 0.08901106 - time (sec): 51.14 - samples/sec: 17264.22 - lr: 0.025000 2023-04-06 01:34:38,463 epoch 125 - iter 1855/2650 - loss 0.08872577 - time (sec): 59.81 - samples/sec: 17244.37 - lr: 0.025000 2023-04-06 01:34:46,970 epoch 125 - iter 2120/2650 - loss 0.08901735 - time (sec): 68.32 - samples/sec: 17250.49 - lr: 0.025000 2023-04-06 01:34:55,596 epoch 125 - iter 2385/2650 - loss 0.08924518 - time (sec): 76.95 - samples/sec: 17253.30 - lr: 0.025000 2023-04-06 01:35:04,119 epoch 125 - iter 2650/2650 - loss 0.08931220 - time (sec): 85.47 - samples/sec: 17244.00 - lr: 0.025000 2023-04-06 01:35:04,119 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:35:04,119 EPOCH 125 done: loss 0.0893 - lr 0.025000 2023-04-06 01:35:04,119 BAD EPOCHS (no improvement): 0 2023-04-06 01:35:04,123 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:35:12,671 epoch 126 - iter 265/2650 - loss 0.09026401 - time (sec): 8.55 - samples/sec: 17246.59 - lr: 0.025000 2023-04-06 01:35:21,228 epoch 126 - iter 530/2650 - loss 0.09066439 - time (sec): 17.10 - samples/sec: 17205.64 - lr: 0.025000 2023-04-06 01:35:29,824 epoch 126 - iter 795/2650 - loss 0.08938362 - time (sec): 25.70 - samples/sec: 17194.79 - lr: 0.025000 2023-04-06 01:35:38,420 epoch 126 - iter 1060/2650 - loss 0.08970160 - time (sec): 34.30 - samples/sec: 17168.36 - lr: 0.025000 2023-04-06 01:35:46,927 epoch 126 - iter 1325/2650 - loss 0.08939843 - time (sec): 42.80 - samples/sec: 17187.37 - lr: 0.025000 2023-04-06 01:35:55,475 epoch 126 - iter 1590/2650 - loss 0.08932784 - time (sec): 51.35 - samples/sec: 17200.84 - lr: 0.025000 2023-04-06 01:36:04,036 epoch 126 - iter 1855/2650 - loss 0.08901204 - time (sec): 59.91 - samples/sec: 17212.34 - lr: 0.025000 2023-04-06 01:36:12,607 epoch 126 - iter 2120/2650 - loss 0.08907662 - time (sec): 68.48 - samples/sec: 17215.80 - lr: 0.025000 2023-04-06 01:36:21,185 epoch 126 - iter 2385/2650 - loss 0.08894915 - time (sec): 77.06 - samples/sec: 17223.08 - lr: 0.025000 2023-04-06 01:36:29,675 epoch 126 - iter 2650/2650 - loss 0.08891357 - time (sec): 85.55 - samples/sec: 17227.27 - lr: 0.025000 2023-04-06 01:36:29,675 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:36:29,676 EPOCH 126 done: loss 0.0889 - lr 0.025000 2023-04-06 01:36:29,676 BAD EPOCHS (no improvement): 0 2023-04-06 01:36:29,683 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:36:38,179 epoch 127 - iter 265/2650 - loss 0.08899568 - time (sec): 8.50 - samples/sec: 17259.88 - lr: 0.025000 2023-04-06 01:36:46,720 epoch 127 - iter 530/2650 - loss 0.09062358 - time (sec): 17.04 - samples/sec: 17232.12 - lr: 0.025000 2023-04-06 01:36:55,297 epoch 127 - iter 795/2650 - loss 0.09072315 - time (sec): 25.61 - samples/sec: 17206.33 - lr: 0.025000 2023-04-06 01:37:03,812 epoch 127 - iter 1060/2650 - loss 0.09085772 - time (sec): 34.13 - samples/sec: 17212.47 - lr: 0.025000 2023-04-06 01:37:12,440 epoch 127 - iter 1325/2650 - loss 0.09066259 - time (sec): 42.76 - samples/sec: 17214.82 - lr: 0.025000 2023-04-06 01:37:20,976 epoch 127 - iter 1590/2650 - loss 0.09059215 - time (sec): 51.29 - samples/sec: 17204.28 - lr: 0.025000 2023-04-06 01:37:29,432 epoch 127 - iter 1855/2650 - loss 0.09005899 - time (sec): 59.75 - samples/sec: 17221.50 - lr: 0.025000 2023-04-06 01:37:37,973 epoch 127 - iter 2120/2650 - loss 0.08977647 - time (sec): 68.29 - samples/sec: 17222.91 - lr: 0.025000 2023-04-06 01:37:46,628 epoch 127 - iter 2385/2650 - loss 0.08976653 - time (sec): 76.95 - samples/sec: 17216.26 - lr: 0.025000 2023-04-06 01:37:55,197 epoch 127 - iter 2650/2650 - loss 0.08925828 - time (sec): 85.51 - samples/sec: 17234.93 - lr: 0.025000 2023-04-06 01:37:55,197 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:37:55,197 EPOCH 127 done: loss 0.0893 - lr 0.025000 2023-04-06 01:37:55,197 BAD EPOCHS (no improvement): 1 2023-04-06 01:37:55,201 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:38:03,782 epoch 128 - iter 265/2650 - loss 0.08906253 - time (sec): 8.58 - samples/sec: 17372.98 - lr: 0.025000 2023-04-06 01:38:12,380 epoch 128 - iter 530/2650 - loss 0.08896875 - time (sec): 17.18 - samples/sec: 17361.31 - lr: 0.025000 2023-04-06 01:38:20,898 epoch 128 - iter 795/2650 - loss 0.08900982 - time (sec): 25.70 - samples/sec: 17335.52 - lr: 0.025000 2023-04-06 01:38:29,406 epoch 128 - iter 1060/2650 - loss 0.08966533 - time (sec): 34.20 - samples/sec: 17325.02 - lr: 0.025000 2023-04-06 01:38:37,988 epoch 128 - iter 1325/2650 - loss 0.08907790 - time (sec): 42.79 - samples/sec: 17321.73 - lr: 0.025000 2023-04-06 01:38:46,485 epoch 128 - iter 1590/2650 - loss 0.08922541 - time (sec): 51.28 - samples/sec: 17312.33 - lr: 0.025000 2023-04-06 01:38:58,752 epoch 128 - iter 1855/2650 - loss 0.08888906 - time (sec): 63.55 - samples/sec: 16269.02 - lr: 0.025000 2023-04-06 01:39:07,139 epoch 128 - iter 2120/2650 - loss 0.08899965 - time (sec): 71.94 - samples/sec: 16415.45 - lr: 0.025000 2023-04-06 01:39:15,561 epoch 128 - iter 2385/2650 - loss 0.08890834 - time (sec): 80.36 - samples/sec: 16519.17 - lr: 0.025000 2023-04-06 01:39:24,013 epoch 128 - iter 2650/2650 - loss 0.08895861 - time (sec): 88.81 - samples/sec: 16594.89 - lr: 0.025000 2023-04-06 01:39:24,013 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:39:24,013 EPOCH 128 done: loss 0.0890 - lr 0.025000 2023-04-06 01:39:24,013 BAD EPOCHS (no improvement): 2 2023-04-06 01:39:24,017 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:39:32,480 epoch 129 - iter 265/2650 - loss 0.08580357 - time (sec): 8.46 - samples/sec: 17360.48 - lr: 0.025000 2023-04-06 01:39:40,962 epoch 129 - iter 530/2650 - loss 0.08689946 - time (sec): 16.95 - samples/sec: 17383.80 - lr: 0.025000 2023-04-06 01:39:49,519 epoch 129 - iter 795/2650 - loss 0.08778260 - time (sec): 25.50 - samples/sec: 17376.62 - lr: 0.025000 2023-04-06 01:39:57,980 epoch 129 - iter 1060/2650 - loss 0.08815218 - time (sec): 33.96 - samples/sec: 17355.20 - lr: 0.025000 2023-04-06 01:40:06,394 epoch 129 - iter 1325/2650 - loss 0.08836636 - time (sec): 42.38 - samples/sec: 17353.59 - lr: 0.025000 2023-04-06 01:40:14,866 epoch 129 - iter 1590/2650 - loss 0.08801250 - time (sec): 50.85 - samples/sec: 17355.59 - lr: 0.025000 2023-04-06 01:40:23,427 epoch 129 - iter 1855/2650 - loss 0.08855624 - time (sec): 59.41 - samples/sec: 17331.47 - lr: 0.025000 2023-04-06 01:40:32,008 epoch 129 - iter 2120/2650 - loss 0.08859293 - time (sec): 67.99 - samples/sec: 17312.34 - lr: 0.025000 2023-04-06 01:40:40,578 epoch 129 - iter 2385/2650 - loss 0.08865145 - time (sec): 76.56 - samples/sec: 17320.34 - lr: 0.025000 2023-04-06 01:40:49,083 epoch 129 - iter 2650/2650 - loss 0.08861668 - time (sec): 85.07 - samples/sec: 17325.66 - lr: 0.025000 2023-04-06 01:40:49,083 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:40:49,083 EPOCH 129 done: loss 0.0886 - lr 0.025000 2023-04-06 01:40:49,083 BAD EPOCHS (no improvement): 0 2023-04-06 01:40:49,087 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:40:57,493 epoch 130 - iter 265/2650 - loss 0.08600177 - time (sec): 8.41 - samples/sec: 17301.75 - lr: 0.025000 2023-04-06 01:41:06,091 epoch 130 - iter 530/2650 - loss 0.08761559 - time (sec): 17.00 - samples/sec: 17275.91 - lr: 0.025000 2023-04-06 01:41:14,457 epoch 130 - iter 795/2650 - loss 0.08771008 - time (sec): 25.37 - samples/sec: 17316.62 - lr: 0.025000 2023-04-06 01:41:23,024 epoch 130 - iter 1060/2650 - loss 0.08722064 - time (sec): 33.94 - samples/sec: 17333.35 - lr: 0.025000 2023-04-06 01:41:31,440 epoch 130 - iter 1325/2650 - loss 0.08730122 - time (sec): 42.35 - samples/sec: 17336.35 - lr: 0.025000 2023-04-06 01:41:39,946 epoch 130 - iter 1590/2650 - loss 0.08721395 - time (sec): 50.86 - samples/sec: 17323.18 - lr: 0.025000 2023-04-06 01:41:48,600 epoch 130 - iter 1855/2650 - loss 0.08758861 - time (sec): 59.51 - samples/sec: 17306.93 - lr: 0.025000 2023-04-06 01:41:57,200 epoch 130 - iter 2120/2650 - loss 0.08789193 - time (sec): 68.11 - samples/sec: 17302.90 - lr: 0.025000 2023-04-06 01:42:05,794 epoch 130 - iter 2385/2650 - loss 0.08809398 - time (sec): 76.71 - samples/sec: 17289.07 - lr: 0.025000 2023-04-06 01:42:14,322 epoch 130 - iter 2650/2650 - loss 0.08831161 - time (sec): 85.24 - samples/sec: 17291.27 - lr: 0.025000 2023-04-06 01:42:14,323 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:42:14,323 EPOCH 130 done: loss 0.0883 - lr 0.025000 2023-04-06 01:42:14,323 BAD EPOCHS (no improvement): 0 2023-04-06 01:42:14,326 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:42:22,833 epoch 131 - iter 265/2650 - loss 0.08752983 - time (sec): 8.51 - samples/sec: 17341.62 - lr: 0.025000 2023-04-06 01:42:31,243 epoch 131 - iter 530/2650 - loss 0.08916409 - time (sec): 16.92 - samples/sec: 17283.68 - lr: 0.025000 2023-04-06 01:42:39,942 epoch 131 - iter 795/2650 - loss 0.08875912 - time (sec): 25.62 - samples/sec: 17273.04 - lr: 0.025000 2023-04-06 01:42:48,513 epoch 131 - iter 1060/2650 - loss 0.08869997 - time (sec): 34.19 - samples/sec: 17260.43 - lr: 0.025000 2023-04-06 01:42:56,991 epoch 131 - iter 1325/2650 - loss 0.08850858 - time (sec): 42.66 - samples/sec: 17258.43 - lr: 0.025000 2023-04-06 01:43:05,664 epoch 131 - iter 1590/2650 - loss 0.08843607 - time (sec): 51.34 - samples/sec: 17247.54 - lr: 0.025000 2023-04-06 01:43:14,163 epoch 131 - iter 1855/2650 - loss 0.08847374 - time (sec): 59.84 - samples/sec: 17238.65 - lr: 0.025000 2023-04-06 01:43:22,754 epoch 131 - iter 2120/2650 - loss 0.08859999 - time (sec): 68.43 - samples/sec: 17246.01 - lr: 0.025000 2023-04-06 01:43:31,271 epoch 131 - iter 2385/2650 - loss 0.08885166 - time (sec): 76.94 - samples/sec: 17246.75 - lr: 0.025000 2023-04-06 01:43:39,824 epoch 131 - iter 2650/2650 - loss 0.08884770 - time (sec): 85.50 - samples/sec: 17238.12 - lr: 0.025000 2023-04-06 01:43:39,824 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:43:39,824 EPOCH 131 done: loss 0.0888 - lr 0.025000 2023-04-06 01:43:39,824 BAD EPOCHS (no improvement): 1 2023-04-06 01:43:39,828 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:43:48,438 epoch 132 - iter 265/2650 - loss 0.08739348 - time (sec): 8.61 - samples/sec: 17210.93 - lr: 0.025000 2023-04-06 01:43:56,906 epoch 132 - iter 530/2650 - loss 0.08655920 - time (sec): 17.08 - samples/sec: 17271.45 - lr: 0.025000 2023-04-06 01:44:05,363 epoch 132 - iter 795/2650 - loss 0.08729768 - time (sec): 25.54 - samples/sec: 17262.94 - lr: 0.025000 2023-04-06 01:44:13,858 epoch 132 - iter 1060/2650 - loss 0.08722576 - time (sec): 34.03 - samples/sec: 17267.51 - lr: 0.025000 2023-04-06 01:44:22,410 epoch 132 - iter 1325/2650 - loss 0.08765236 - time (sec): 42.58 - samples/sec: 17271.18 - lr: 0.025000 2023-04-06 01:44:30,883 epoch 132 - iter 1590/2650 - loss 0.08829266 - time (sec): 51.06 - samples/sec: 17289.21 - lr: 0.025000 2023-04-06 01:44:39,430 epoch 132 - iter 1855/2650 - loss 0.08801099 - time (sec): 59.60 - samples/sec: 17280.75 - lr: 0.025000 2023-04-06 01:44:48,071 epoch 132 - iter 2120/2650 - loss 0.08840418 - time (sec): 68.24 - samples/sec: 17257.03 - lr: 0.025000 2023-04-06 01:44:56,550 epoch 132 - iter 2385/2650 - loss 0.08868981 - time (sec): 76.72 - samples/sec: 17254.69 - lr: 0.025000 2023-04-06 01:45:05,260 epoch 132 - iter 2650/2650 - loss 0.08859109 - time (sec): 85.43 - samples/sec: 17251.31 - lr: 0.025000 2023-04-06 01:45:05,261 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:45:05,261 EPOCH 132 done: loss 0.0886 - lr 0.025000 2023-04-06 01:45:05,261 BAD EPOCHS (no improvement): 2 2023-04-06 01:45:05,264 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:45:13,776 epoch 133 - iter 265/2650 - loss 0.08716788 - time (sec): 8.51 - samples/sec: 17297.37 - lr: 0.025000 2023-04-06 01:45:22,308 epoch 133 - iter 530/2650 - loss 0.08662159 - time (sec): 17.04 - samples/sec: 17251.02 - lr: 0.025000 2023-04-06 01:45:30,943 epoch 133 - iter 795/2650 - loss 0.08776855 - time (sec): 25.68 - samples/sec: 17229.68 - lr: 0.025000 2023-04-06 01:45:39,450 epoch 133 - iter 1060/2650 - loss 0.08842162 - time (sec): 34.19 - samples/sec: 17280.92 - lr: 0.025000 2023-04-06 01:45:48,082 epoch 133 - iter 1325/2650 - loss 0.08854276 - time (sec): 42.82 - samples/sec: 17280.53 - lr: 0.025000 2023-04-06 01:45:56,578 epoch 133 - iter 1590/2650 - loss 0.08852549 - time (sec): 51.31 - samples/sec: 17287.64 - lr: 0.025000 2023-04-06 01:46:05,023 epoch 133 - iter 1855/2650 - loss 0.08843860 - time (sec): 59.76 - samples/sec: 17303.45 - lr: 0.025000 2023-04-06 01:46:13,483 epoch 133 - iter 2120/2650 - loss 0.08871153 - time (sec): 68.22 - samples/sec: 17327.42 - lr: 0.025000 2023-04-06 01:46:21,882 epoch 133 - iter 2385/2650 - loss 0.08869419 - time (sec): 76.62 - samples/sec: 17328.00 - lr: 0.025000 2023-04-06 01:46:30,363 epoch 133 - iter 2650/2650 - loss 0.08842933 - time (sec): 85.10 - samples/sec: 17318.96 - lr: 0.025000 2023-04-06 01:46:30,364 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:46:30,364 EPOCH 133 done: loss 0.0884 - lr 0.025000 2023-04-06 01:46:30,364 BAD EPOCHS (no improvement): 3 2023-04-06 01:46:30,370 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:46:38,859 epoch 134 - iter 265/2650 - loss 0.08775160 - time (sec): 8.49 - samples/sec: 17435.51 - lr: 0.025000 2023-04-06 01:46:47,277 epoch 134 - iter 530/2650 - loss 0.08898451 - time (sec): 16.91 - samples/sec: 17432.20 - lr: 0.025000 2023-04-06 01:46:55,768 epoch 134 - iter 795/2650 - loss 0.08933240 - time (sec): 25.40 - samples/sec: 17401.19 - lr: 0.025000 2023-04-06 01:47:04,189 epoch 134 - iter 1060/2650 - loss 0.08849792 - time (sec): 33.82 - samples/sec: 17401.00 - lr: 0.025000 2023-04-06 01:47:12,606 epoch 134 - iter 1325/2650 - loss 0.08892954 - time (sec): 42.24 - samples/sec: 17404.89 - lr: 0.025000 2023-04-06 01:47:21,122 epoch 134 - iter 1590/2650 - loss 0.08924017 - time (sec): 50.75 - samples/sec: 17402.60 - lr: 0.025000 2023-04-06 01:47:29,648 epoch 134 - iter 1855/2650 - loss 0.08886511 - time (sec): 59.28 - samples/sec: 17388.30 - lr: 0.025000 2023-04-06 01:47:41,973 epoch 134 - iter 2120/2650 - loss 0.08870758 - time (sec): 71.60 - samples/sec: 16466.84 - lr: 0.025000 2023-04-06 01:47:50,235 epoch 134 - iter 2385/2650 - loss 0.08864099 - time (sec): 79.87 - samples/sec: 16592.66 - lr: 0.025000 2023-04-06 01:47:58,695 epoch 134 - iter 2650/2650 - loss 0.08855902 - time (sec): 88.32 - samples/sec: 16686.40 - lr: 0.025000 2023-04-06 01:47:58,695 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:47:58,695 EPOCH 134 done: loss 0.0886 - lr 0.025000 2023-04-06 01:47:58,695 Epoch 134: reducing learning rate of group 0 to 1.2500e-02. 2023-04-06 01:47:58,696 BAD EPOCHS (no improvement): 4 2023-04-06 01:47:58,699 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:48:07,146 epoch 135 - iter 265/2650 - loss 0.08766982 - time (sec): 8.45 - samples/sec: 17430.02 - lr: 0.012500 2023-04-06 01:48:15,544 epoch 135 - iter 530/2650 - loss 0.08740059 - time (sec): 16.84 - samples/sec: 17435.78 - lr: 0.012500 2023-04-06 01:48:24,038 epoch 135 - iter 795/2650 - loss 0.08726054 - time (sec): 25.34 - samples/sec: 17442.79 - lr: 0.012500 2023-04-06 01:48:32,501 epoch 135 - iter 1060/2650 - loss 0.08730790 - time (sec): 33.80 - samples/sec: 17432.42 - lr: 0.012500 2023-04-06 01:48:41,043 epoch 135 - iter 1325/2650 - loss 0.08619140 - time (sec): 42.34 - samples/sec: 17404.14 - lr: 0.012500 2023-04-06 01:48:49,672 epoch 135 - iter 1590/2650 - loss 0.08671639 - time (sec): 50.97 - samples/sec: 17397.38 - lr: 0.012500 2023-04-06 01:48:58,086 epoch 135 - iter 1855/2650 - loss 0.08680533 - time (sec): 59.39 - samples/sec: 17400.37 - lr: 0.012500 2023-04-06 01:49:06,558 epoch 135 - iter 2120/2650 - loss 0.08682838 - time (sec): 67.86 - samples/sec: 17380.04 - lr: 0.012500 2023-04-06 01:49:15,066 epoch 135 - iter 2385/2650 - loss 0.08692261 - time (sec): 76.37 - samples/sec: 17364.82 - lr: 0.012500 2023-04-06 01:49:23,561 epoch 135 - iter 2650/2650 - loss 0.08705203 - time (sec): 84.86 - samples/sec: 17367.24 - lr: 0.012500 2023-04-06 01:49:23,562 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:49:23,562 EPOCH 135 done: loss 0.0871 - lr 0.012500 2023-04-06 01:49:23,562 BAD EPOCHS (no improvement): 0 2023-04-06 01:49:23,565 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:49:32,175 epoch 136 - iter 265/2650 - loss 0.08692149 - time (sec): 8.61 - samples/sec: 17398.80 - lr: 0.012500 2023-04-06 01:49:40,736 epoch 136 - iter 530/2650 - loss 0.08759866 - time (sec): 17.17 - samples/sec: 17375.34 - lr: 0.012500 2023-04-06 01:49:49,263 epoch 136 - iter 795/2650 - loss 0.08703527 - time (sec): 25.70 - samples/sec: 17347.53 - lr: 0.012500 2023-04-06 01:49:57,725 epoch 136 - iter 1060/2650 - loss 0.08673358 - time (sec): 34.16 - samples/sec: 17348.91 - lr: 0.012500 2023-04-06 01:50:06,160 epoch 136 - iter 1325/2650 - loss 0.08616701 - time (sec): 42.59 - samples/sec: 17322.73 - lr: 0.012500 2023-04-06 01:50:14,738 epoch 136 - iter 1590/2650 - loss 0.08604201 - time (sec): 51.17 - samples/sec: 17315.08 - lr: 0.012500 2023-04-06 01:50:23,275 epoch 136 - iter 1855/2650 - loss 0.08604817 - time (sec): 59.71 - samples/sec: 17313.24 - lr: 0.012500 2023-04-06 01:50:31,693 epoch 136 - iter 2120/2650 - loss 0.08588615 - time (sec): 68.13 - samples/sec: 17319.61 - lr: 0.012500 2023-04-06 01:50:40,218 epoch 136 - iter 2385/2650 - loss 0.08605759 - time (sec): 76.65 - samples/sec: 17316.73 - lr: 0.012500 2023-04-06 01:50:48,729 epoch 136 - iter 2650/2650 - loss 0.08598834 - time (sec): 85.16 - samples/sec: 17305.71 - lr: 0.012500 2023-04-06 01:50:48,729 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:50:48,729 EPOCH 136 done: loss 0.0860 - lr 0.012500 2023-04-06 01:50:48,729 BAD EPOCHS (no improvement): 0 2023-04-06 01:50:48,732 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:50:57,220 epoch 137 - iter 265/2650 - loss 0.08476475 - time (sec): 8.49 - samples/sec: 17386.58 - lr: 0.012500 2023-04-06 01:51:05,695 epoch 137 - iter 530/2650 - loss 0.08480244 - time (sec): 16.96 - samples/sec: 17393.83 - lr: 0.012500 2023-04-06 01:51:14,170 epoch 137 - iter 795/2650 - loss 0.08484427 - time (sec): 25.44 - samples/sec: 17364.07 - lr: 0.012500 2023-04-06 01:51:22,777 epoch 137 - iter 1060/2650 - loss 0.08541623 - time (sec): 34.04 - samples/sec: 17331.58 - lr: 0.012500 2023-04-06 01:51:31,351 epoch 137 - iter 1325/2650 - loss 0.08533619 - time (sec): 42.62 - samples/sec: 17322.64 - lr: 0.012500 2023-04-06 01:51:39,811 epoch 137 - iter 1590/2650 - loss 0.08583397 - time (sec): 51.08 - samples/sec: 17320.96 - lr: 0.012500 2023-04-06 01:51:48,372 epoch 137 - iter 1855/2650 - loss 0.08583932 - time (sec): 59.64 - samples/sec: 17308.18 - lr: 0.012500 2023-04-06 01:51:56,865 epoch 137 - iter 2120/2650 - loss 0.08578478 - time (sec): 68.13 - samples/sec: 17297.51 - lr: 0.012500 2023-04-06 01:52:05,351 epoch 137 - iter 2385/2650 - loss 0.08613433 - time (sec): 76.62 - samples/sec: 17294.40 - lr: 0.012500 2023-04-06 01:52:13,941 epoch 137 - iter 2650/2650 - loss 0.08640655 - time (sec): 85.21 - samples/sec: 17296.71 - lr: 0.012500 2023-04-06 01:52:13,941 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:52:13,941 EPOCH 137 done: loss 0.0864 - lr 0.012500 2023-04-06 01:52:13,941 BAD EPOCHS (no improvement): 1 2023-04-06 01:52:13,944 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:52:22,459 epoch 138 - iter 265/2650 - loss 0.08441259 - time (sec): 8.51 - samples/sec: 17312.70 - lr: 0.012500 2023-04-06 01:52:30,941 epoch 138 - iter 530/2650 - loss 0.08418078 - time (sec): 17.00 - samples/sec: 17304.04 - lr: 0.012500 2023-04-06 01:52:39,372 epoch 138 - iter 795/2650 - loss 0.08454341 - time (sec): 25.43 - samples/sec: 17322.26 - lr: 0.012500 2023-04-06 01:52:47,864 epoch 138 - iter 1060/2650 - loss 0.08467833 - time (sec): 33.92 - samples/sec: 17317.35 - lr: 0.012500 2023-04-06 01:52:56,415 epoch 138 - iter 1325/2650 - loss 0.08476238 - time (sec): 42.47 - samples/sec: 17301.08 - lr: 0.012500 2023-04-06 01:53:05,112 epoch 138 - iter 1590/2650 - loss 0.08497080 - time (sec): 51.17 - samples/sec: 17303.40 - lr: 0.012500 2023-04-06 01:53:13,602 epoch 138 - iter 1855/2650 - loss 0.08511155 - time (sec): 59.66 - samples/sec: 17297.52 - lr: 0.012500 2023-04-06 01:53:22,096 epoch 138 - iter 2120/2650 - loss 0.08547480 - time (sec): 68.15 - samples/sec: 17293.78 - lr: 0.012500 2023-04-06 01:53:30,664 epoch 138 - iter 2385/2650 - loss 0.08541540 - time (sec): 76.72 - samples/sec: 17284.27 - lr: 0.012500 2023-04-06 01:53:39,174 epoch 138 - iter 2650/2650 - loss 0.08551047 - time (sec): 85.23 - samples/sec: 17292.43 - lr: 0.012500 2023-04-06 01:53:39,174 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:53:39,174 EPOCH 138 done: loss 0.0855 - lr 0.012500 2023-04-06 01:53:39,174 BAD EPOCHS (no improvement): 0 2023-04-06 01:53:39,178 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:53:47,668 epoch 139 - iter 265/2650 - loss 0.08661839 - time (sec): 8.49 - samples/sec: 17493.46 - lr: 0.012500 2023-04-06 01:53:56,172 epoch 139 - iter 530/2650 - loss 0.08574421 - time (sec): 16.99 - samples/sec: 17428.33 - lr: 0.012500 2023-04-06 01:54:04,698 epoch 139 - iter 795/2650 - loss 0.08412306 - time (sec): 25.52 - samples/sec: 17380.79 - lr: 0.012500 2023-04-06 01:54:13,310 epoch 139 - iter 1060/2650 - loss 0.08360922 - time (sec): 34.13 - samples/sec: 17352.47 - lr: 0.012500 2023-04-06 01:54:21,769 epoch 139 - iter 1325/2650 - loss 0.08395644 - time (sec): 42.59 - samples/sec: 17378.75 - lr: 0.012500 2023-04-06 01:54:30,180 epoch 139 - iter 1590/2650 - loss 0.08452752 - time (sec): 51.00 - samples/sec: 17376.37 - lr: 0.012500 2023-04-06 01:54:38,586 epoch 139 - iter 1855/2650 - loss 0.08521613 - time (sec): 59.41 - samples/sec: 17386.34 - lr: 0.012500 2023-04-06 01:54:47,005 epoch 139 - iter 2120/2650 - loss 0.08521656 - time (sec): 67.83 - samples/sec: 17402.41 - lr: 0.012500 2023-04-06 01:54:55,488 epoch 139 - iter 2385/2650 - loss 0.08508333 - time (sec): 76.31 - samples/sec: 17416.21 - lr: 0.012500 2023-04-06 01:55:03,767 epoch 139 - iter 2650/2650 - loss 0.08537940 - time (sec): 84.59 - samples/sec: 17423.44 - lr: 0.012500 2023-04-06 01:55:03,767 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:55:03,767 EPOCH 139 done: loss 0.0854 - lr 0.012500 2023-04-06 01:55:03,767 BAD EPOCHS (no improvement): 0 2023-04-06 01:55:03,771 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:55:12,251 epoch 140 - iter 265/2650 - loss 0.08467557 - time (sec): 8.48 - samples/sec: 17406.43 - lr: 0.012500 2023-04-06 01:55:20,720 epoch 140 - iter 530/2650 - loss 0.08387951 - time (sec): 16.95 - samples/sec: 17417.79 - lr: 0.012500 2023-04-06 01:55:29,169 epoch 140 - iter 795/2650 - loss 0.08440544 - time (sec): 25.40 - samples/sec: 17452.71 - lr: 0.012500 2023-04-06 01:55:37,484 epoch 140 - iter 1060/2650 - loss 0.08475602 - time (sec): 33.71 - samples/sec: 17461.29 - lr: 0.012500 2023-04-06 01:55:46,001 epoch 140 - iter 1325/2650 - loss 0.08470901 - time (sec): 42.23 - samples/sec: 17431.96 - lr: 0.012500 2023-04-06 01:55:54,419 epoch 140 - iter 1590/2650 - loss 0.08488743 - time (sec): 50.65 - samples/sec: 17428.55 - lr: 0.012500 2023-04-06 01:56:02,852 epoch 140 - iter 1855/2650 - loss 0.08499758 - time (sec): 59.08 - samples/sec: 17436.21 - lr: 0.012500 2023-04-06 01:56:11,352 epoch 140 - iter 2120/2650 - loss 0.08487283 - time (sec): 67.58 - samples/sec: 17437.14 - lr: 0.012500 2023-04-06 01:56:23,581 epoch 140 - iter 2385/2650 - loss 0.08501586 - time (sec): 79.81 - samples/sec: 16610.10 - lr: 0.012500 2023-04-06 01:56:31,873 epoch 140 - iter 2650/2650 - loss 0.08515134 - time (sec): 88.10 - samples/sec: 16728.43 - lr: 0.012500 2023-04-06 01:56:31,874 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:56:31,874 EPOCH 140 done: loss 0.0852 - lr 0.012500 2023-04-06 01:56:31,874 BAD EPOCHS (no improvement): 0 2023-04-06 01:56:31,881 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:56:40,228 epoch 141 - iter 265/2650 - loss 0.08643215 - time (sec): 8.35 - samples/sec: 17629.40 - lr: 0.012500 2023-04-06 01:56:48,687 epoch 141 - iter 530/2650 - loss 0.08709043 - time (sec): 16.81 - samples/sec: 17496.71 - lr: 0.012500 2023-04-06 01:56:57,178 epoch 141 - iter 795/2650 - loss 0.08692095 - time (sec): 25.30 - samples/sec: 17477.92 - lr: 0.012500 2023-04-06 01:57:05,550 epoch 141 - iter 1060/2650 - loss 0.08617631 - time (sec): 33.67 - samples/sec: 17490.19 - lr: 0.012500 2023-04-06 01:57:14,072 epoch 141 - iter 1325/2650 - loss 0.08608029 - time (sec): 42.19 - samples/sec: 17490.40 - lr: 0.012500 2023-04-06 01:57:22,544 epoch 141 - iter 1590/2650 - loss 0.08600630 - time (sec): 50.66 - samples/sec: 17490.10 - lr: 0.012500 2023-04-06 01:57:31,027 epoch 141 - iter 1855/2650 - loss 0.08574555 - time (sec): 59.15 - samples/sec: 17475.52 - lr: 0.012500 2023-04-06 01:57:39,435 epoch 141 - iter 2120/2650 - loss 0.08580893 - time (sec): 67.55 - samples/sec: 17483.98 - lr: 0.012500 2023-04-06 01:57:47,786 epoch 141 - iter 2385/2650 - loss 0.08590927 - time (sec): 75.91 - samples/sec: 17481.34 - lr: 0.012500 2023-04-06 01:57:56,226 epoch 141 - iter 2650/2650 - loss 0.08585625 - time (sec): 84.34 - samples/sec: 17473.85 - lr: 0.012500 2023-04-06 01:57:56,226 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:57:56,226 EPOCH 141 done: loss 0.0859 - lr 0.012500 2023-04-06 01:57:56,226 BAD EPOCHS (no improvement): 1 2023-04-06 01:57:56,230 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:58:04,726 epoch 142 - iter 265/2650 - loss 0.08672804 - time (sec): 8.50 - samples/sec: 17435.54 - lr: 0.012500 2023-04-06 01:58:12,981 epoch 142 - iter 530/2650 - loss 0.08502040 - time (sec): 16.75 - samples/sec: 17458.27 - lr: 0.012500 2023-04-06 01:58:21,366 epoch 142 - iter 795/2650 - loss 0.08411218 - time (sec): 25.14 - samples/sec: 17449.96 - lr: 0.012500 2023-04-06 01:58:29,950 epoch 142 - iter 1060/2650 - loss 0.08465343 - time (sec): 33.72 - samples/sec: 17432.96 - lr: 0.012500 2023-04-06 01:58:38,406 epoch 142 - iter 1325/2650 - loss 0.08444004 - time (sec): 42.18 - samples/sec: 17442.82 - lr: 0.012500 2023-04-06 01:58:46,752 epoch 142 - iter 1590/2650 - loss 0.08450466 - time (sec): 50.52 - samples/sec: 17466.99 - lr: 0.012500 2023-04-06 01:58:55,127 epoch 142 - iter 1855/2650 - loss 0.08436467 - time (sec): 58.90 - samples/sec: 17467.00 - lr: 0.012500 2023-04-06 01:59:03,703 epoch 142 - iter 2120/2650 - loss 0.08489676 - time (sec): 67.47 - samples/sec: 17452.63 - lr: 0.012500 2023-04-06 01:59:12,179 epoch 142 - iter 2385/2650 - loss 0.08533253 - time (sec): 75.95 - samples/sec: 17457.56 - lr: 0.012500 2023-04-06 01:59:20,622 epoch 142 - iter 2650/2650 - loss 0.08546246 - time (sec): 84.39 - samples/sec: 17463.94 - lr: 0.012500 2023-04-06 01:59:20,622 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:59:20,622 EPOCH 142 done: loss 0.0855 - lr 0.012500 2023-04-06 01:59:20,622 BAD EPOCHS (no improvement): 2 2023-04-06 01:59:20,625 ---------------------------------------------------------------------------------------------------- 2023-04-06 01:59:29,093 epoch 143 - iter 265/2650 - loss 0.08412266 - time (sec): 8.47 - samples/sec: 17542.00 - lr: 0.012500 2023-04-06 01:59:37,567 epoch 143 - iter 530/2650 - loss 0.08456431 - time (sec): 16.94 - samples/sec: 17480.69 - lr: 0.012500 2023-04-06 01:59:46,075 epoch 143 - iter 795/2650 - loss 0.08450246 - time (sec): 25.45 - samples/sec: 17495.91 - lr: 0.012500 2023-04-06 01:59:54,380 epoch 143 - iter 1060/2650 - loss 0.08396079 - time (sec): 33.75 - samples/sec: 17513.96 - lr: 0.012500 2023-04-06 02:00:02,808 epoch 143 - iter 1325/2650 - loss 0.08362482 - time (sec): 42.18 - samples/sec: 17491.74 - lr: 0.012500 2023-04-06 02:00:11,222 epoch 143 - iter 1590/2650 - loss 0.08412801 - time (sec): 50.60 - samples/sec: 17484.19 - lr: 0.012500 2023-04-06 02:00:19,699 epoch 143 - iter 1855/2650 - loss 0.08422971 - time (sec): 59.07 - samples/sec: 17486.71 - lr: 0.012500 2023-04-06 02:00:28,102 epoch 143 - iter 2120/2650 - loss 0.08421958 - time (sec): 67.48 - samples/sec: 17466.82 - lr: 0.012500 2023-04-06 02:00:36,638 epoch 143 - iter 2385/2650 - loss 0.08437392 - time (sec): 76.01 - samples/sec: 17457.10 - lr: 0.012500 2023-04-06 02:00:45,105 epoch 143 - iter 2650/2650 - loss 0.08434763 - time (sec): 84.48 - samples/sec: 17445.91 - lr: 0.012500 2023-04-06 02:00:45,105 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:00:45,106 EPOCH 143 done: loss 0.0843 - lr 0.012500 2023-04-06 02:00:45,106 BAD EPOCHS (no improvement): 0 2023-04-06 02:00:45,109 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:00:53,534 epoch 144 - iter 265/2650 - loss 0.08514408 - time (sec): 8.42 - samples/sec: 17510.67 - lr: 0.012500 2023-04-06 02:01:02,074 epoch 144 - iter 530/2650 - loss 0.08460616 - time (sec): 16.96 - samples/sec: 17478.45 - lr: 0.012500 2023-04-06 02:01:10,541 epoch 144 - iter 795/2650 - loss 0.08454546 - time (sec): 25.43 - samples/sec: 17430.28 - lr: 0.012500 2023-04-06 02:01:19,082 epoch 144 - iter 1060/2650 - loss 0.08459020 - time (sec): 33.97 - samples/sec: 17393.84 - lr: 0.012500 2023-04-06 02:01:27,620 epoch 144 - iter 1325/2650 - loss 0.08526056 - time (sec): 42.51 - samples/sec: 17410.25 - lr: 0.012500 2023-04-06 02:01:36,046 epoch 144 - iter 1590/2650 - loss 0.08498614 - time (sec): 50.94 - samples/sec: 17404.21 - lr: 0.012500 2023-04-06 02:01:44,498 epoch 144 - iter 1855/2650 - loss 0.08465342 - time (sec): 59.39 - samples/sec: 17404.06 - lr: 0.012500 2023-04-06 02:01:52,922 epoch 144 - iter 2120/2650 - loss 0.08501815 - time (sec): 67.81 - samples/sec: 17394.07 - lr: 0.012500 2023-04-06 02:02:01,366 epoch 144 - iter 2385/2650 - loss 0.08485702 - time (sec): 76.26 - samples/sec: 17408.51 - lr: 0.012500 2023-04-06 02:02:09,738 epoch 144 - iter 2650/2650 - loss 0.08494414 - time (sec): 84.63 - samples/sec: 17415.22 - lr: 0.012500 2023-04-06 02:02:09,738 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:02:09,738 EPOCH 144 done: loss 0.0849 - lr 0.012500 2023-04-06 02:02:09,738 BAD EPOCHS (no improvement): 1 2023-04-06 02:02:09,743 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:02:18,254 epoch 145 - iter 265/2650 - loss 0.08404079 - time (sec): 8.51 - samples/sec: 17424.39 - lr: 0.012500 2023-04-06 02:02:26,621 epoch 145 - iter 530/2650 - loss 0.08364490 - time (sec): 16.88 - samples/sec: 17460.76 - lr: 0.012500 2023-04-06 02:02:34,984 epoch 145 - iter 795/2650 - loss 0.08496103 - time (sec): 25.24 - samples/sec: 17507.43 - lr: 0.012500 2023-04-06 02:02:43,474 epoch 145 - iter 1060/2650 - loss 0.08410846 - time (sec): 33.73 - samples/sec: 17507.66 - lr: 0.012500 2023-04-06 02:02:51,863 epoch 145 - iter 1325/2650 - loss 0.08451872 - time (sec): 42.12 - samples/sec: 17481.94 - lr: 0.012500 2023-04-06 02:03:00,326 epoch 145 - iter 1590/2650 - loss 0.08462303 - time (sec): 50.58 - samples/sec: 17477.78 - lr: 0.012500 2023-04-06 02:03:08,784 epoch 145 - iter 1855/2650 - loss 0.08488801 - time (sec): 59.04 - samples/sec: 17490.79 - lr: 0.012500 2023-04-06 02:03:17,140 epoch 145 - iter 2120/2650 - loss 0.08494517 - time (sec): 67.40 - samples/sec: 17494.44 - lr: 0.012500 2023-04-06 02:03:25,525 epoch 145 - iter 2385/2650 - loss 0.08471987 - time (sec): 75.78 - samples/sec: 17484.70 - lr: 0.012500 2023-04-06 02:03:34,004 epoch 145 - iter 2650/2650 - loss 0.08493393 - time (sec): 84.26 - samples/sec: 17491.03 - lr: 0.012500 2023-04-06 02:03:34,005 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:03:34,005 EPOCH 145 done: loss 0.0849 - lr 0.012500 2023-04-06 02:03:34,005 BAD EPOCHS (no improvement): 2 2023-04-06 02:03:34,008 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:03:42,342 epoch 146 - iter 265/2650 - loss 0.08333622 - time (sec): 8.33 - samples/sec: 17684.63 - lr: 0.012500 2023-04-06 02:03:50,953 epoch 146 - iter 530/2650 - loss 0.08389065 - time (sec): 16.94 - samples/sec: 17610.62 - lr: 0.012500 2023-04-06 02:03:59,312 epoch 146 - iter 795/2650 - loss 0.08521514 - time (sec): 25.30 - samples/sec: 17543.25 - lr: 0.012500 2023-04-06 02:04:07,704 epoch 146 - iter 1060/2650 - loss 0.08513854 - time (sec): 33.70 - samples/sec: 17535.36 - lr: 0.012500 2023-04-06 02:04:16,050 epoch 146 - iter 1325/2650 - loss 0.08477239 - time (sec): 42.04 - samples/sec: 17521.05 - lr: 0.012500 2023-04-06 02:04:24,419 epoch 146 - iter 1590/2650 - loss 0.08496632 - time (sec): 50.41 - samples/sec: 17518.59 - lr: 0.012500 2023-04-06 02:04:32,848 epoch 146 - iter 1855/2650 - loss 0.08515066 - time (sec): 58.84 - samples/sec: 17505.80 - lr: 0.012500 2023-04-06 02:04:41,292 epoch 146 - iter 2120/2650 - loss 0.08534187 - time (sec): 67.28 - samples/sec: 17504.48 - lr: 0.012500 2023-04-06 02:04:49,732 epoch 146 - iter 2385/2650 - loss 0.08515106 - time (sec): 75.72 - samples/sec: 17500.24 - lr: 0.012500 2023-04-06 02:04:58,234 epoch 146 - iter 2650/2650 - loss 0.08512776 - time (sec): 84.23 - samples/sec: 17498.56 - lr: 0.012500 2023-04-06 02:04:58,234 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:04:58,234 EPOCH 146 done: loss 0.0851 - lr 0.012500 2023-04-06 02:04:58,234 BAD EPOCHS (no improvement): 3 2023-04-06 02:04:58,238 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:05:10,626 epoch 147 - iter 265/2650 - loss 0.08274620 - time (sec): 12.39 - samples/sec: 12090.11 - lr: 0.012500 2023-04-06 02:05:18,893 epoch 147 - iter 530/2650 - loss 0.08344974 - time (sec): 20.66 - samples/sec: 14337.60 - lr: 0.012500 2023-04-06 02:05:27,192 epoch 147 - iter 795/2650 - loss 0.08478520 - time (sec): 28.95 - samples/sec: 15260.99 - lr: 0.012500 2023-04-06 02:05:35,700 epoch 147 - iter 1060/2650 - loss 0.08441918 - time (sec): 37.46 - samples/sec: 15746.82 - lr: 0.012500 2023-04-06 02:05:44,078 epoch 147 - iter 1325/2650 - loss 0.08423769 - time (sec): 45.84 - samples/sec: 16057.27 - lr: 0.012500 2023-04-06 02:05:52,430 epoch 147 - iter 1590/2650 - loss 0.08431145 - time (sec): 54.19 - samples/sec: 16290.56 - lr: 0.012500 2023-04-06 02:06:00,868 epoch 147 - iter 1855/2650 - loss 0.08432505 - time (sec): 62.63 - samples/sec: 16459.47 - lr: 0.012500 2023-04-06 02:06:09,438 epoch 147 - iter 2120/2650 - loss 0.08422386 - time (sec): 71.20 - samples/sec: 16576.07 - lr: 0.012500 2023-04-06 02:06:17,753 epoch 147 - iter 2385/2650 - loss 0.08413675 - time (sec): 79.51 - samples/sec: 16671.87 - lr: 0.012500 2023-04-06 02:06:26,179 epoch 147 - iter 2650/2650 - loss 0.08401922 - time (sec): 87.94 - samples/sec: 16759.27 - lr: 0.012500 2023-04-06 02:06:26,179 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:06:26,179 EPOCH 147 done: loss 0.0840 - lr 0.012500 2023-04-06 02:06:26,179 BAD EPOCHS (no improvement): 0 2023-04-06 02:06:26,183 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:06:34,619 epoch 148 - iter 265/2650 - loss 0.08390811 - time (sec): 8.44 - samples/sec: 17467.79 - lr: 0.012500 2023-04-06 02:06:43,122 epoch 148 - iter 530/2650 - loss 0.08385304 - time (sec): 16.94 - samples/sec: 17433.22 - lr: 0.012500 2023-04-06 02:06:51,583 epoch 148 - iter 795/2650 - loss 0.08388650 - time (sec): 25.40 - samples/sec: 17440.87 - lr: 0.012500 2023-04-06 02:07:00,015 epoch 148 - iter 1060/2650 - loss 0.08344917 - time (sec): 33.83 - samples/sec: 17469.44 - lr: 0.012500 2023-04-06 02:07:08,397 epoch 148 - iter 1325/2650 - loss 0.08372317 - time (sec): 42.21 - samples/sec: 17480.25 - lr: 0.012500 2023-04-06 02:07:16,917 epoch 148 - iter 1590/2650 - loss 0.08405667 - time (sec): 50.73 - samples/sec: 17472.56 - lr: 0.012500 2023-04-06 02:07:25,263 epoch 148 - iter 1855/2650 - loss 0.08406057 - time (sec): 59.08 - samples/sec: 17479.34 - lr: 0.012500 2023-04-06 02:07:33,710 epoch 148 - iter 2120/2650 - loss 0.08419679 - time (sec): 67.53 - samples/sec: 17485.21 - lr: 0.012500 2023-04-06 02:07:42,071 epoch 148 - iter 2385/2650 - loss 0.08426519 - time (sec): 75.89 - samples/sec: 17475.56 - lr: 0.012500 2023-04-06 02:07:50,519 epoch 148 - iter 2650/2650 - loss 0.08420663 - time (sec): 84.34 - samples/sec: 17475.77 - lr: 0.012500 2023-04-06 02:07:50,519 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:07:50,519 EPOCH 148 done: loss 0.0842 - lr 0.012500 2023-04-06 02:07:50,519 BAD EPOCHS (no improvement): 1 2023-04-06 02:07:50,523 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:07:58,957 epoch 149 - iter 265/2650 - loss 0.08206100 - time (sec): 8.43 - samples/sec: 17720.34 - lr: 0.012500 2023-04-06 02:08:07,300 epoch 149 - iter 530/2650 - loss 0.08254810 - time (sec): 16.78 - samples/sec: 17688.29 - lr: 0.012500 2023-04-06 02:08:15,793 epoch 149 - iter 795/2650 - loss 0.08259181 - time (sec): 25.27 - samples/sec: 17597.60 - lr: 0.012500 2023-04-06 02:08:24,116 epoch 149 - iter 1060/2650 - loss 0.08363840 - time (sec): 33.59 - samples/sec: 17564.28 - lr: 0.012500 2023-04-06 02:08:32,521 epoch 149 - iter 1325/2650 - loss 0.08338751 - time (sec): 42.00 - samples/sec: 17577.05 - lr: 0.012500 2023-04-06 02:08:40,909 epoch 149 - iter 1590/2650 - loss 0.08334045 - time (sec): 50.39 - samples/sec: 17581.36 - lr: 0.012500 2023-04-06 02:08:49,372 epoch 149 - iter 1855/2650 - loss 0.08330694 - time (sec): 58.85 - samples/sec: 17572.59 - lr: 0.012500 2023-04-06 02:08:57,744 epoch 149 - iter 2120/2650 - loss 0.08358919 - time (sec): 67.22 - samples/sec: 17566.71 - lr: 0.012500 2023-04-06 02:09:06,121 epoch 149 - iter 2385/2650 - loss 0.08375847 - time (sec): 75.60 - samples/sec: 17569.21 - lr: 0.012500 2023-04-06 02:09:14,412 epoch 149 - iter 2650/2650 - loss 0.08384634 - time (sec): 83.89 - samples/sec: 17568.78 - lr: 0.012500 2023-04-06 02:09:14,412 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:09:14,412 EPOCH 149 done: loss 0.0838 - lr 0.012500 2023-04-06 02:09:14,412 BAD EPOCHS (no improvement): 0 2023-04-06 02:09:14,416 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:09:22,935 epoch 150 - iter 265/2650 - loss 0.08208815 - time (sec): 8.52 - samples/sec: 17435.86 - lr: 0.012500 2023-04-06 02:09:31,356 epoch 150 - iter 530/2650 - loss 0.08175082 - time (sec): 16.94 - samples/sec: 17476.23 - lr: 0.012500 2023-04-06 02:09:39,597 epoch 150 - iter 795/2650 - loss 0.08300666 - time (sec): 25.18 - samples/sec: 17541.37 - lr: 0.012500 2023-04-06 02:09:47,984 epoch 150 - iter 1060/2650 - loss 0.08336710 - time (sec): 33.57 - samples/sec: 17540.80 - lr: 0.012500 2023-04-06 02:09:56,459 epoch 150 - iter 1325/2650 - loss 0.08368950 - time (sec): 42.04 - samples/sec: 17514.71 - lr: 0.012500 2023-04-06 02:10:04,863 epoch 150 - iter 1590/2650 - loss 0.08415253 - time (sec): 50.45 - samples/sec: 17529.27 - lr: 0.012500 2023-04-06 02:10:13,201 epoch 150 - iter 1855/2650 - loss 0.08418048 - time (sec): 58.79 - samples/sec: 17547.42 - lr: 0.012500 2023-04-06 02:10:21,641 epoch 150 - iter 2120/2650 - loss 0.08382533 - time (sec): 67.23 - samples/sec: 17550.62 - lr: 0.012500 2023-04-06 02:10:30,127 epoch 150 - iter 2385/2650 - loss 0.08397513 - time (sec): 75.71 - samples/sec: 17528.60 - lr: 0.012500 2023-04-06 02:10:38,540 epoch 150 - iter 2650/2650 - loss 0.08395460 - time (sec): 84.12 - samples/sec: 17519.54 - lr: 0.012500 2023-04-06 02:10:38,540 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:10:38,540 EPOCH 150 done: loss 0.0840 - lr 0.012500 2023-04-06 02:10:38,540 BAD EPOCHS (no improvement): 1 2023-04-06 02:10:39,200 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:10:39,200 Testing using last state of model ... 2023-04-06 02:10:52,313 Evaluating as a multi-label problem: False 2023-04-06 02:10:52,566 0.8939 0.9346 0.9138 0.882 2023-04-06 02:10:52,566 Results: - F-score (micro) 0.9138 - F-score (macro) 0.6727 - Accuracy 0.882 By class: precision recall f1-score support be.01 0.9651 0.9787 0.9718 3562 be.03 0.9495 0.9495 0.9495 1962 have.01 0.9788 0.9788 0.9788 1225 say.01 0.9962 0.9990 0.9976 1048 do.01 0.9678 0.9768 0.9723 647 have.03 0.9133 0.9547 0.9336 552 think.01 0.9969 1.0000 0.9984 320 be.02 0.9524 0.9677 0.9600 310 do.02 0.8380 0.9573 0.8937 281 see.01 0.9691 0.9930 0.9809 284 come.01 0.9306 0.9383 0.9344 243 know.01 0.9099 0.8653 0.8870 245 go.02 0.8745 0.9248 0.8989 226 want.01 1.0000 0.9952 0.9976 207 tell.01 0.9778 1.0000 0.9888 176 take.01 0.8466 0.8625 0.8545 160 talk.01 0.9814 0.9937 0.9875 159 use.01 0.9342 0.9930 0.9627 143 give.01 0.9530 0.9930 0.9726 143 make.02 0.9149 0.8836 0.8990 146 have.02 0.9412 0.9846 0.9624 130 price.01 0.9923 0.9699 0.9810 133 get.01 0.8321 0.9237 0.8755 118 work.01 0.7985 0.9469 0.8664 113 believe.01 1.0000 1.0000 1.0000 113 go.04 0.9636 0.9815 0.9725 108 become.01 0.9815 1.0000 0.9907 106 know.06 0.7500 0.8660 0.8038 97 try.01 0.9706 0.9900 0.9802 100 find.01 0.9314 0.9596 0.9453 99 make.01 0.6667 0.8000 0.7273 90 need.01 0.8750 1.0000 0.9333 91 make.LV 0.7476 0.8370 0.7897 92 look.01 0.8700 0.9560 0.9110 91 mean.01 0.9792 1.0000 0.9895 94 happen.01 1.0000 1.0000 1.0000 91 trade.01 0.8495 0.9634 0.9029 82 kill.01 0.9540 1.0000 0.9765 83 show.01 0.9759 0.9643 0.9701 84 invest.01 0.9294 0.9753 0.9518 81 call.01 0.8471 0.9600 0.9000 75 begin.01 0.9157 0.9870 0.9500 77 sell.01 0.9146 0.9868 0.9494 76 live.01 0.9136 0.9737 0.9427 76 pay.01 0.9241 0.9733 0.9481 75 increase.01 0.9125 1.0000 0.9542 73 let.01 0.9868 1.0000 0.9934 75 offer.01 0.9359 1.0000 0.9669 73 hear.01 1.0000 1.0000 1.0000 75 continue.01 0.9605 1.0000 0.9799 73 put.01 0.8228 0.9420 0.8784 69 bring.01 1.0000 0.9865 0.9932 74 report.01 0.9306 0.9178 0.9241 73 die.01 0.9857 1.0000 0.9928 69 help.01 0.9286 1.0000 0.9630 65 get.03 0.8358 0.8358 0.8358 67 expect.01 1.0000 1.0000 1.0000 67 ask.02 1.0000 0.9275 0.9624 69 write.01 0.8732 1.0000 0.9323 62 speak.01 1.0000 0.9844 0.9921 64 start.01 0.8529 0.9831 0.9134 59 deal.01 0.9385 1.0000 0.9683 61 support.01 0.9385 1.0000 0.9683 61 ask.01 0.9219 0.9833 0.9516 60 decide.01 0.9219 1.0000 0.9593 59 former.01 0.9672 1.0000 0.9833 59 answer.01 0.9167 1.0000 0.9565 55 get.05 0.7857 0.7586 0.7719 58 seem.01 1.0000 1.0000 1.0000 56 change.01 0.9649 1.0000 0.9821 55 produce.01 0.8167 0.9608 0.8829 51 reach.01 0.9107 1.0000 0.9533 51 provide.01 1.0000 1.0000 1.0000 53 establish.01 0.9273 1.0000 0.9623 51 agree.01 0.9615 0.9434 0.9524 53 develop.02 0.9412 0.9231 0.9320 52 feel.01 0.9038 0.9592 0.9307 49 receive.01 0.9800 0.9800 0.9800 50 buy.01 0.9592 1.0000 0.9792 47 lose.02 0.8980 0.9565 0.9263 46 operate.01 0.8800 0.9778 0.9263 45 show.04 0.8600 0.9556 0.9053 45 call.02 0.9048 0.7308 0.8085 52 learn.01 1.0000 1.0000 1.0000 47 grow.01 0.9091 0.8333 0.8696 48 own.01 1.0000 0.9783 0.9890 46 test.01 0.8571 1.0000 0.9231 42 plan.01 0.9333 0.9767 0.9545 43 stay.01 0.9333 1.0000 0.9655 42 negotiate.01 0.9773 1.0000 0.9885 43 end.01 0.7292 0.9211 0.8140 38 remember.01 1.0000 0.9767 0.9882 43 move.01 0.9524 0.9756 0.9639 41 state.01 0.8636 1.0000 0.9268 38 stop.01 0.9070 1.0000 0.9512 39 add.02 0.7333 0.9167 0.8148 36 go.01 0.7222 0.5778 0.6420 45 include.01 0.9750 0.9512 0.9630 41 war.01 0.8372 0.9730 0.9000 37 leave.11 0.7727 0.9714 0.8608 35 charge.05 0.9024 0.9737 0.9367 38 reduce.01 0.9500 1.0000 0.9744 38 rise.01 0.9744 1.0000 0.9870 38 expand.01 0.9231 1.0000 0.9600 36 hope.01 1.0000 1.0000 1.0000 37 hold.01 0.6905 0.9355 0.7945 31 announce.01 0.7561 0.9688 0.8493 32 enter.01 0.9211 1.0000 0.9589 35 serve.01 0.7179 0.8485 0.7778 33 accept.01 0.9459 1.0000 0.9722 35 account.01 0.9714 0.9189 0.9444 37 implement.01 1.0000 1.0000 1.0000 36 fall.01 0.9189 1.0000 0.9577 34 take.LV 0.5897 0.7419 0.6571 31 look.02 0.8889 0.9412 0.9143 34 watch.01 0.9167 1.0000 0.9565 33 face.01 0.7436 0.9667 0.8406 30 keep.02 0.8788 0.8286 0.8529 35 require.01 1.0000 1.0000 1.0000 34 drop.01 0.8611 0.9688 0.9118 32 lead.02 0.7500 0.9000 0.8182 30 share.01 0.8056 1.0000 0.8923 29 relation.03 0.7222 0.8966 0.8000 29 meet.03 0.7273 0.7742 0.7500 31 follow.02 0.6389 0.8214 0.7187 28 turn.01 0.7143 0.8621 0.7813 29 cut.02 0.7027 0.9630 0.8125 27 walk.01 0.9688 1.0000 0.9841 31 eat.01 0.9688 1.0000 0.9841 31 create.01 0.9688 1.0000 0.9841 31 cause.01 0.9091 1.0000 0.9524 30 build.01 0.8235 0.9655 0.8889 29 suggest.01 1.0000 1.0000 1.0000 31 involve.01 0.8788 1.0000 0.9355 29 thank.01 0.9375 1.0000 0.9677 30 get.06 0.9062 1.0000 0.9508 29 read.01 0.9062 1.0000 0.9508 29 understand.01 0.9677 1.0000 0.9836 30 explain.01 1.0000 1.0000 1.0000 30 question.01 0.6000 0.8400 0.7000 25 open.01 0.8125 0.9630 0.8814 27 force.01 0.9032 1.0000 0.9492 28 view.02 0.9032 1.0000 0.9492 28 love.01 0.6471 0.8800 0.7458 25 manage.01 0.5526 1.0000 0.7119 21 wait.01 0.8710 1.0000 0.9310 27 know.02 0.5625 0.6923 0.6207 26 feel.02 0.8621 0.8621 0.8621 29 exchange.01 0.8387 0.9630 0.8966 27 like.02 0.9310 0.9643 0.9474 28 send.01 0.6364 0.9130 0.7500 23 remain.01 1.0000 1.0000 1.0000 28 allow.01 0.9310 1.0000 0.9643 27 approve.01 0.8667 1.0000 0.9286 26 control.01 0.8333 1.0000 0.9091 25 point_out.02 1.0000 1.0000 1.0000 27 participate.01 1.0000 1.0000 1.0000 27 name.01 0.9286 1.0000 0.9630 26 voice.01 0.9630 1.0000 0.9811 26 concern.01 0.7931 1.0000 0.8846 23 develop.01 0.8846 0.8846 0.8846 26 visit.01 0.9615 0.9615 0.9615 26 succeed.01 0.8571 1.0000 0.9231 24 express.01 0.9615 0.9615 0.9615 26 respond.01 0.7333 1.0000 0.8462 22 sit.01 1.0000 0.9231 0.9600 26 carry.01 0.9231 1.0000 0.9600 24 carry_out.03 1.0000 1.0000 1.0000 25 act.02 0.6000 0.9000 0.7200 20 study.01 0.7241 1.0000 0.8400 21 destroy.01 1.0000 1.0000 1.0000 25 arrive.01 0.9600 1.0000 0.9796 24 mention.01 0.9600 1.0000 0.9796 24 import.01 0.8800 0.9167 0.8980 24 mind.05 0.4242 0.8750 0.5714 16 vote.01 0.8462 0.9565 0.8980 23 bear.02 1.0000 1.0000 1.0000 24 hold.04 1.0000 0.9200 0.9583 25 win.01 0.9200 1.0000 0.9583 23 quote.01 0.8462 1.0000 0.9167 22 attack.01 1.0000 1.0000 1.0000 24 bomb.01 0.9200 1.0000 0.9583 23 interview.01 0.6552 1.0000 0.7917 19 meet.02 0.4815 0.6500 0.5532 20 set_up.03 0.9583 1.0000 0.9787 23 find_out.03 0.9583 1.0000 0.9787 23 choose.01 0.9583 1.0000 0.9787 23 appear.02 1.0000 0.9583 0.9787 24 welcome.01 0.7692 0.9524 0.8511 21 crash.01 0.8800 1.0000 0.9362 22 issue.01 1.0000 0.9583 0.9787 24 peace.01 1.0000 1.0000 1.0000 23 promote.02 0.9565 0.9565 0.9565 23 run.02 0.7200 0.9000 0.8000 20 have.04 0.7368 0.5385 0.6222 26 attract.01 1.0000 0.9565 0.9778 23 release.01 0.7308 1.0000 0.8444 19 improve.01 0.6667 1.0000 0.8000 18 come.03 0.6522 0.7143 0.6818 21 testify.01 1.0000 1.0000 1.0000 22 experience.01 0.6923 1.0000 0.8182 18 handle.01 0.9545 1.0000 0.9767 21 follow.01 0.6842 0.5417 0.6047 24 limit.01 0.7917 1.0000 0.8837 19 promise.01 0.9091 1.0000 0.9524 20 construct.01 0.8261 1.0000 0.9048 19 occur.01 0.9524 1.0000 0.9756 20 take.10 0.9048 0.9500 0.9268 20 propose.01 0.9524 1.0000 0.9756 20 achieve.01 0.9524 1.0000 0.9756 20 consider.01 0.8000 0.8000 0.8000 20 file.01 1.0000 1.0000 1.0000 20 go.06 0.5238 0.5789 0.5500 19 process.02 0.6000 1.0000 0.7500 15 indicate.01 1.0000 1.0000 1.0000 20 custody.01 1.0000 1.0000 1.0000 20 get.02 0.8421 0.8000 0.8205 20 stand.01 0.8571 1.0000 0.9231 18 invite.01 0.9500 1.0000 0.9744 19 lead.01 0.5909 0.7647 0.6667 17 introduce.02 0.9000 0.9474 0.9231 19 throw.01 0.9500 1.0000 0.9744 19 return.01 0.8095 0.9444 0.8718 18 have.LV 0.2273 0.2941 0.2564 17 fly.01 0.8571 1.0000 0.9231 18 save.02 0.9500 1.0000 0.9744 19 come.04 0.6842 0.6842 0.6842 19 combine.01 0.6087 0.9333 0.7368 15 analyze.01 0.9000 1.0000 0.9474 18 add.01 0.9474 0.9474 0.9474 19 heal.01 1.0000 1.0000 1.0000 19 eliminate.01 1.0000 1.0000 1.0000 19 warn.01 0.8095 1.0000 0.8947 17 spend.02 1.0000 0.9474 0.9730 19 purchase.01 0.8500 1.0000 0.9189 17 keep.04 0.6667 0.8750 0.7568 16 utilize.01 0.9474 1.0000 0.9730 18 earn.01 1.0000 1.0000 1.0000 18 represent.01 1.0000 1.0000 1.0000 18 close.01 0.8000 1.0000 0.8889 16 break.01 0.5455 0.8571 0.6667 14 imagine.01 1.0000 1.0000 1.0000 18 cover.03 0.9412 0.8421 0.8889 19 speculate.01 0.8947 1.0000 0.9444 17 fight.01 0.8947 1.0000 0.9444 17 join.01 1.0000 0.9444 0.9714 18 protect.01 0.9444 1.0000 0.9714 17 profit.01 0.9444 1.0000 0.9714 17 affect.01 0.7895 0.9375 0.8571 16 raise.01 0.7895 1.0000 0.8824 15 get.04 0.5833 0.3182 0.4118 22 prepare.02 0.8750 0.7778 0.8235 18 launch.01 0.8889 1.0000 0.9412 16 impact.01 0.4167 1.0000 0.5882 10 contribute.01 1.0000 1.0000 1.0000 17 discuss.01 1.0000 1.0000 1.0000 17 suffer.01 1.0000 1.0000 1.0000 17 present.01 1.0000 1.0000 1.0000 17 post.01 0.8333 0.9375 0.8824 16 leave.12 0.7059 0.7059 0.7059 17 rule.03 0.8889 1.0000 0.9412 16 keep.01 0.8571 0.6316 0.7273 19 drive.01 0.7222 0.8667 0.7879 15 turn.02 0.6471 0.6875 0.6667 16 sit_down.02 0.8333 1.0000 0.9091 15 react.01 0.8333 1.0000 0.9091 15 order.01 0.8750 0.8235 0.8485 17 damage.01 0.9412 1.0000 0.9697 16 bond.02 1.0000 0.9412 0.9697 17 0.0000 0.0000 0.0000 0 victory.01 1.0000 1.0000 1.0000 16 set.02 0.7059 0.8000 0.7500 15 refer.01 0.7778 1.0000 0.8750 14 challenge.01 1.0000 1.0000 1.0000 16 go_on.15 0.8824 1.0000 0.9375 15 matter.02 0.6000 1.0000 0.7500 12 set.01 0.7647 0.8667 0.8125 15 meet.01 0.8824 1.0000 0.9375 15 wish.01 0.8824 1.0000 0.9375 15 put.03 0.6429 0.5294 0.5806 17 play.02 0.9375 1.0000 0.9677 15 seek.01 0.9375 1.0000 0.9677 15 demand.01 0.8235 1.0000 0.9032 14 fill.01 0.9375 1.0000 0.9677 15 draw.02 0.8750 0.9333 0.9032 15 leave.13 1.0000 0.9375 0.9677 16 influence.01 0.9375 1.0000 0.9677 15 violent.01 0.8235 1.0000 0.9032 14 deny.01 1.0000 1.0000 1.0000 15 care.01 0.9333 0.9333 0.9333 15 bless.01 1.0000 1.0000 1.0000 15 play.01 0.7500 0.8571 0.8000 14 note.01 0.8750 1.0000 0.9333 14 spend.01 0.9333 0.9333 0.9333 15 rule.01 0.5000 1.0000 0.6667 10 describe.01 0.8750 1.0000 0.9333 14 solve.01 1.0000 1.0000 1.0000 15 regard.01 0.7333 0.7333 0.7333 15 fail.01 1.0000 1.0000 1.0000 15 take_over.12 0.9333 0.9333 0.9333 15 prove.01 0.7647 1.0000 0.8667 13 honor.01 1.0000 1.0000 1.0000 15 judge.01 0.7500 0.8571 0.8000 14 shout.01 1.0000 1.0000 1.0000 15 travel.01 0.7647 1.0000 0.8667 13 transact.01 1.0000 1.0000 1.0000 15 pray.01 0.9333 1.0000 0.9655 14 realize.01 1.0000 0.9333 0.9655 15 run.01 0.6667 0.7143 0.6897 14 reveal.01 0.9333 1.0000 0.9655 14 connect.01 0.6111 1.0000 0.7586 11 argue.01 0.8667 0.9286 0.8966 14 contact.01 0.8125 1.0000 0.8966 13 grow.03 0.6111 1.0000 0.7586 11 praise.01 0.9333 1.0000 0.9655 14 assist.01 0.8125 1.0000 0.8966 13 acquire.01 0.9333 1.0000 0.9655 14 try.02 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0.0000 0.0000 0.0000 0 discharge.101 0.0000 0.0000 0.0000 0 micro avg 0.8939 0.9346 0.9138 28250 macro avg 0.6659 0.7051 0.6727 28250 weighted avg 0.9005 0.9346 0.9131 28250 2023-04-06 02:10:52,569 ----------------------------------------------------------------------------------------------------