diff --git "a/training.log" "b/training.log" --- "a/training.log" +++ "b/training.log" @@ -1,2199 +1,2182 @@ -2019-06-26 14:10:57,849 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:10:57,849 Model: "SequenceTagger( +2023-04-06 05:16:44,916 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:16:44,917 Model: "SequenceTagger( (embeddings): StackedEmbeddings( - (list_embedding_0): WordEmbeddings('glove') - (list_embedding_1): FlairEmbeddings( + (list_embedding_0): FlairEmbeddings( (lm): LanguageModel( - (drop): Dropout(p=0.05) + (drop): Dropout(p=0.05, inplace=False) (encoder): Embedding(300, 100) (rnn): LSTM(100, 2048) - (decoder): Linear(in_features=2048, out_features=300, bias=True) ) ) - (list_embedding_2): FlairEmbeddings( + (list_embedding_1): FlairEmbeddings( (lm): LanguageModel( - (drop): Dropout(p=0.05) + (drop): Dropout(p=0.05, inplace=False) (encoder): Embedding(300, 100) (rnn): LSTM(100, 2048) - (decoder): Linear(in_features=2048, out_features=300, bias=True) ) ) ) (word_dropout): WordDropout(p=0.05) (locked_dropout): LockedDropout(p=0.5) - (embedding2nn): Linear(in_features=4196, out_features=4196, bias=True) - (rnn): LSTM(4196, 256, bidirectional=True) - (linear): Linear(in_features=512, out_features=20, bias=True) + (embedding2nn): Linear(in_features=4096, out_features=4096, bias=True) + (rnn): LSTM(4096, 256, batch_first=True, bidirectional=True) + (linear): Linear(in_features=512, out_features=19, bias=True) + (loss_function): ViterbiLoss() + (crf): CRF() )" -2019-06-26 14:10:57,850 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:10:57,850 Corpus: "Corpus: 75187 train + 9603 dev + 9479 test sentences" -2019-06-26 14:10:57,850 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:10:57,850 Parameters: -2019-06-26 14:10:57,850 - learning_rate: "0.1" -2019-06-26 14:10:57,850 - mini_batch_size: "32" -2019-06-26 14:10:57,850 - patience: "3" -2019-06-26 14:10:57,850 - anneal_factor: "0.5" -2019-06-26 14:10:57,850 - max_epochs: "150" -2019-06-26 14:10:57,850 - shuffle: "True" -2019-06-26 14:10:57,850 - train_with_dev: "True" -2019-06-26 14:10:57,850 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:10:57,850 Model training base path: "resources/taggers/POS-ontonotes--h256-l1-b32-p3-0.5-+glove+news-forward+news-backward-normal-locked0.5-word0.05--v0.4_0" -2019-06-26 14:10:57,850 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:10:57,850 Evaluation method: MICRO_F1_SCORE -2019-06-26 14:10:57,853 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:10:58,384 epoch 1 - iter 0/2650 - loss 59.70793152 -2019-06-26 14:12:52,921 epoch 1 - iter 265/2650 - loss 12.59544717 -2019-06-26 14:14:56,337 epoch 1 - iter 530/2650 - loss 8.52881843 -2019-06-26 14:16:56,766 epoch 1 - iter 795/2650 - loss 6.88112143 -2019-06-26 14:18:50,711 epoch 1 - iter 1060/2650 - loss 5.94944841 -2019-06-26 14:20:49,569 epoch 1 - iter 1325/2650 - loss 5.37192479 -2019-06-26 14:22:47,374 epoch 1 - iter 1590/2650 - loss 4.94924227 -2019-06-26 14:24:59,501 epoch 1 - iter 1855/2650 - loss 4.62758790 -2019-06-26 14:27:35,716 epoch 1 - iter 2120/2650 - loss 4.38806655 -2019-06-26 14:30:12,119 epoch 1 - iter 2385/2650 - loss 4.17509433 -2019-06-26 14:32:40,408 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:32:40,409 EPOCH 1 done: loss 4.0084 - lr 0.1000 -2019-06-26 14:36:34,300 TEST : loss 1.2577271461486816 - score 0.9789 -2019-06-26 14:36:34,301 BAD EPOCHS (no improvement): 0 -2019-06-26 14:36:34,306 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:36:34,468 epoch 2 - iter 0/2650 - loss 1.24748588 -2019-06-26 14:37:15,714 epoch 2 - iter 265/2650 - loss 2.42652727 -2019-06-26 14:37:51,348 epoch 2 - iter 530/2650 - loss 2.36251631 -2019-06-26 14:38:26,623 epoch 2 - iter 795/2650 - loss 2.34616482 -2019-06-26 14:39:01,809 epoch 2 - iter 1060/2650 - loss 2.31646541 -2019-06-26 14:39:37,004 epoch 2 - iter 1325/2650 - loss 2.28500153 -2019-06-26 14:40:14,975 epoch 2 - iter 1590/2650 - loss 2.25524766 -2019-06-26 14:40:50,444 epoch 2 - iter 1855/2650 - loss 2.22411867 -2019-06-26 14:41:25,360 epoch 2 - iter 2120/2650 - loss 2.19677050 -2019-06-26 14:42:00,282 epoch 2 - iter 2385/2650 - loss 2.17916992 -2019-06-26 14:42:35,689 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:42:35,690 EPOCH 2 done: loss 2.1634 - lr 0.1000 -2019-06-26 14:44:29,085 TEST : loss 1.0980191230773926 - score 0.9811 -2019-06-26 14:44:29,086 BAD EPOCHS (no improvement): 0 -2019-06-26 14:44:29,102 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:44:29,238 epoch 3 - iter 0/2650 - loss 1.71938205 -2019-06-26 14:45:10,690 epoch 3 - iter 265/2650 - loss 1.96025360 -2019-06-26 14:45:51,808 epoch 3 - iter 530/2650 - loss 1.97074124 -2019-06-26 14:46:31,421 epoch 3 - iter 795/2650 - loss 1.94087143 -2019-06-26 14:47:11,351 epoch 3 - iter 1060/2650 - loss 1.92469557 -2019-06-26 14:47:51,446 epoch 3 - iter 1325/2650 - loss 1.92722869 -2019-06-26 14:48:31,465 epoch 3 - iter 1590/2650 - loss 1.92316232 -2019-06-26 14:49:11,341 epoch 3 - iter 1855/2650 - loss 1.90914324 -2019-06-26 14:49:51,300 epoch 3 - iter 2120/2650 - loss 1.91023864 -2019-06-26 14:50:31,403 epoch 3 - iter 2385/2650 - loss 1.90477763 -2019-06-26 14:51:07,484 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:51:07,484 EPOCH 3 done: loss 1.9004 - lr 0.1000 -2019-06-26 14:53:01,991 TEST : loss 1.0910283327102661 - score 0.9812 -2019-06-26 14:53:01,992 BAD EPOCHS (no improvement): 0 -2019-06-26 14:53:01,993 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:53:02,126 epoch 4 - iter 0/2650 - loss 0.97492445 -2019-06-26 14:53:44,546 epoch 4 - iter 265/2650 - loss 1.84036128 -2019-06-26 14:54:21,357 epoch 4 - iter 530/2650 - loss 1.83525453 -2019-06-26 14:55:02,779 epoch 4 - iter 795/2650 - loss 1.79912801 -2019-06-26 14:55:42,105 epoch 4 - iter 1060/2650 - loss 1.77668675 -2019-06-26 14:56:21,383 epoch 4 - iter 1325/2650 - loss 1.76910600 -2019-06-26 14:56:56,103 epoch 4 - iter 1590/2650 - loss 1.76212729 -2019-06-26 14:57:31,051 epoch 4 - iter 1855/2650 - loss 1.75361591 -2019-06-26 14:58:05,977 epoch 4 - iter 2120/2650 - loss 1.75629578 -2019-06-26 14:58:43,924 epoch 4 - iter 2385/2650 - loss 1.75647446 -2019-06-26 14:59:20,400 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:59:20,401 EPOCH 4 done: loss 1.7515 - lr 0.1000 -2019-06-26 15:01:14,581 TEST : loss 1.0109158754348755 - score 0.983 -2019-06-26 15:01:14,582 BAD EPOCHS (no improvement): 0 -2019-06-26 15:01:14,596 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:01:14,735 epoch 5 - iter 0/2650 - loss 1.30423319 -2019-06-26 15:01:50,263 epoch 5 - iter 265/2650 - loss 1.65113707 -2019-06-26 15:02:31,097 epoch 5 - iter 530/2650 - loss 1.62569791 -2019-06-26 15:03:11,197 epoch 5 - iter 795/2650 - loss 1.66189367 -2019-06-26 15:03:49,859 epoch 5 - iter 1060/2650 - loss 1.67461831 -2019-06-26 15:04:30,397 epoch 5 - iter 1325/2650 - loss 1.67462059 -2019-06-26 15:05:11,244 epoch 5 - iter 1590/2650 - loss 1.67702742 -2019-06-26 15:05:51,307 epoch 5 - iter 1855/2650 - loss 1.67881736 -2019-06-26 15:06:30,575 epoch 5 - iter 2120/2650 - loss 1.68449598 -2019-06-26 15:07:10,110 epoch 5 - iter 2385/2650 - loss 1.67459519 -2019-06-26 15:07:51,027 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:07:51,027 EPOCH 5 done: loss 1.6782 - lr 0.1000 -2019-06-26 15:10:10,009 TEST : loss 0.9781177639961243 - score 0.9827 -2019-06-26 15:10:10,010 BAD EPOCHS (no improvement): 0 -2019-06-26 15:10:10,023 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:10:10,220 epoch 6 - iter 0/2650 - loss 1.18317223 -2019-06-26 15:10:51,116 epoch 6 - iter 265/2650 - loss 1.57127238 -2019-06-26 15:11:31,537 epoch 6 - iter 530/2650 - loss 1.57559432 -2019-06-26 15:12:10,091 epoch 6 - iter 795/2650 - loss 1.59294579 -2019-06-26 15:12:48,166 epoch 6 - iter 1060/2650 - loss 1.59128251 -2019-06-26 15:13:28,876 epoch 6 - iter 1325/2650 - loss 1.59373998 -2019-06-26 15:14:09,561 epoch 6 - iter 1590/2650 - loss 1.59328178 -2019-06-26 15:14:49,861 epoch 6 - iter 1855/2650 - loss 1.58809494 -2019-06-26 15:15:25,022 epoch 6 - iter 2120/2650 - loss 1.59256002 -2019-06-26 15:15:59,867 epoch 6 - iter 2385/2650 - loss 1.59331445 -2019-06-26 15:16:34,566 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:16:34,567 EPOCH 6 done: loss 1.5933 - lr 0.1000 -2019-06-26 15:18:30,096 TEST : loss 0.9855104088783264 - score 0.9832 -2019-06-26 15:18:30,097 BAD EPOCHS (no improvement): 0 -2019-06-26 15:18:30,118 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:18:30,252 epoch 7 - iter 0/2650 - loss 1.57105207 -2019-06-26 15:19:11,311 epoch 7 - iter 265/2650 - loss 1.60570923 -2019-06-26 15:19:51,461 epoch 7 - iter 530/2650 - loss 1.58061861 -2019-06-26 15:20:28,945 epoch 7 - iter 795/2650 - loss 1.56830757 -2019-06-26 15:21:03,531 epoch 7 - iter 1060/2650 - loss 1.55248608 -2019-06-26 15:21:38,630 epoch 7 - iter 1325/2650 - loss 1.55529208 -2019-06-26 15:22:14,223 epoch 7 - iter 1590/2650 - loss 1.55954974 -2019-06-26 15:22:52,350 epoch 7 - iter 1855/2650 - loss 1.57179698 -2019-06-26 15:23:32,244 epoch 7 - iter 2120/2650 - loss 1.57397817 -2019-06-26 15:24:07,865 epoch 7 - iter 2385/2650 - loss 1.57464548 -2019-06-26 15:24:46,612 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:24:46,613 EPOCH 7 done: loss 1.5721 - lr 0.1000 -2019-06-26 15:26:42,371 TEST : loss 0.9396699070930481 - score 0.9839 -2019-06-26 15:26:42,372 BAD EPOCHS (no improvement): 0 -2019-06-26 15:26:42,373 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:26:42,503 epoch 8 - iter 0/2650 - loss 0.77877104 -2019-06-26 15:27:22,867 epoch 8 - iter 265/2650 - loss 1.49372742 -2019-06-26 15:28:02,434 epoch 8 - iter 530/2650 - loss 1.45504919 -2019-06-26 15:28:40,632 epoch 8 - iter 795/2650 - loss 1.47628524 -2019-06-26 15:29:15,946 epoch 8 - iter 1060/2650 - loss 1.47554067 -2019-06-26 15:29:50,536 epoch 8 - iter 1325/2650 - loss 1.48226424 -2019-06-26 15:30:25,426 epoch 8 - iter 1590/2650 - loss 1.47678152 -2019-06-26 15:31:00,659 epoch 8 - iter 1855/2650 - loss 1.48321693 -2019-06-26 15:31:35,064 epoch 8 - iter 2120/2650 - loss 1.48692583 -2019-06-26 15:32:10,539 epoch 8 - iter 2385/2650 - loss 1.49202446 -2019-06-26 15:32:46,417 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:32:46,417 EPOCH 8 done: loss 1.4993 - lr 0.1000 -2019-06-26 15:34:34,616 TEST : loss 0.9325671195983887 - score 0.9843 -2019-06-26 15:34:34,617 BAD EPOCHS (no improvement): 0 -2019-06-26 15:34:34,618 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:34:34,748 epoch 9 - iter 0/2650 - loss 2.34991455 -2019-06-26 15:35:16,080 epoch 9 - iter 265/2650 - loss 1.48123956 -2019-06-26 15:35:51,124 epoch 9 - iter 530/2650 - loss 1.48891286 -2019-06-26 15:36:26,166 epoch 9 - iter 795/2650 - loss 1.48341594 -2019-06-26 15:37:05,993 epoch 9 - iter 1060/2650 - loss 1.47262721 -2019-06-26 15:37:41,796 epoch 9 - iter 1325/2650 - loss 1.47931778 -2019-06-26 15:38:16,674 epoch 9 - iter 1590/2650 - loss 1.47357758 -2019-06-26 15:38:51,784 epoch 9 - iter 1855/2650 - loss 1.46987663 -2019-06-26 15:39:27,227 epoch 9 - iter 2120/2650 - loss 1.46918868 -2019-06-26 15:40:02,027 epoch 9 - iter 2385/2650 - loss 1.46798159 -2019-06-26 15:40:38,354 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:40:38,354 EPOCH 9 done: loss 1.4683 - lr 0.1000 -2019-06-26 15:42:32,732 TEST : loss 0.9401538968086243 - score 0.9838 -2019-06-26 15:42:32,733 BAD EPOCHS (no improvement): 0 -2019-06-26 15:42:32,734 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:42:32,935 epoch 10 - iter 0/2650 - loss 1.32336068 -2019-06-26 15:43:13,795 epoch 10 - iter 265/2650 - loss 1.49582681 -2019-06-26 15:43:55,072 epoch 10 - iter 530/2650 - loss 1.44711549 -2019-06-26 15:44:34,965 epoch 10 - iter 795/2650 - loss 1.45514648 -2019-06-26 15:45:15,954 epoch 10 - iter 1060/2650 - loss 1.44606486 -2019-06-26 15:45:55,865 epoch 10 - iter 1325/2650 - loss 1.44043604 -2019-06-26 15:46:36,072 epoch 10 - iter 1590/2650 - loss 1.44820046 -2019-06-26 15:47:17,290 epoch 10 - iter 1855/2650 - loss 1.44109351 -2019-06-26 15:47:52,348 epoch 10 - iter 2120/2650 - loss 1.43843196 -2019-06-26 15:48:26,892 epoch 10 - iter 2385/2650 - loss 1.44074283 -2019-06-26 15:49:01,712 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:49:01,713 EPOCH 10 done: loss 1.4346 - lr 0.1000 -2019-06-26 15:50:56,306 TEST : loss 0.9269382357597351 - score 0.9841 -2019-06-26 15:50:56,306 BAD EPOCHS (no improvement): 0 -2019-06-26 15:50:56,307 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:50:56,469 epoch 11 - iter 0/2650 - loss 1.30685019 -2019-06-26 15:51:33,067 epoch 11 - iter 265/2650 - loss 1.37494167 -2019-06-26 15:52:13,035 epoch 11 - iter 530/2650 - loss 1.39181620 -2019-06-26 15:52:53,340 epoch 11 - iter 795/2650 - loss 1.39979139 -2019-06-26 15:53:33,810 epoch 11 - iter 1060/2650 - loss 1.40903781 -2019-06-26 15:54:14,040 epoch 11 - iter 1325/2650 - loss 1.40881581 -2019-06-26 15:54:54,847 epoch 11 - iter 1590/2650 - loss 1.40516148 -2019-06-26 15:55:35,034 epoch 11 - iter 1855/2650 - loss 1.40385294 -2019-06-26 15:56:15,269 epoch 11 - iter 2120/2650 - loss 1.40635862 -2019-06-26 15:56:55,314 epoch 11 - iter 2385/2650 - loss 1.40825269 -2019-06-26 15:57:35,860 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:57:35,860 EPOCH 11 done: loss 1.4206 - lr 0.1000 -2019-06-26 15:59:54,907 TEST : loss 0.9161098003387451 - score 0.984 -2019-06-26 15:59:54,908 BAD EPOCHS (no improvement): 0 -2019-06-26 15:59:54,909 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:59:55,077 epoch 12 - iter 0/2650 - loss 1.59741879 -2019-06-26 16:00:34,896 epoch 12 - iter 265/2650 - loss 1.39603090 -2019-06-26 16:01:16,437 epoch 12 - iter 530/2650 - loss 1.39425603 -2019-06-26 16:01:57,272 epoch 12 - iter 795/2650 - loss 1.42641728 -2019-06-26 16:02:32,686 epoch 12 - iter 1060/2650 - loss 1.42554205 -2019-06-26 16:03:07,941 epoch 12 - iter 1325/2650 - loss 1.43205364 -2019-06-26 16:03:42,284 epoch 12 - iter 1590/2650 - loss 1.41761462 -2019-06-26 16:04:17,494 epoch 12 - iter 1855/2650 - loss 1.41115243 -2019-06-26 16:04:52,909 epoch 12 - iter 2120/2650 - loss 1.41410052 -2019-06-26 16:05:27,685 epoch 12 - iter 2385/2650 - loss 1.40491975 -2019-06-26 16:06:02,768 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:06:02,769 EPOCH 12 done: loss 1.4056 - lr 0.1000 -2019-06-26 16:07:57,745 TEST : loss 0.897429347038269 - score 0.9846 -2019-06-26 16:07:57,746 BAD EPOCHS (no improvement): 0 -2019-06-26 16:07:57,746 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:07:57,891 epoch 13 - iter 0/2650 - loss 1.11630464 -2019-06-26 16:08:39,122 epoch 13 - iter 265/2650 - loss 1.38151723 -2019-06-26 16:09:18,859 epoch 13 - iter 530/2650 - loss 1.39335985 -2019-06-26 16:10:00,349 epoch 13 - iter 795/2650 - loss 1.38907988 -2019-06-26 16:10:41,503 epoch 13 - iter 1060/2650 - loss 1.38018801 -2019-06-26 16:11:16,802 epoch 13 - iter 1325/2650 - loss 1.38241490 -2019-06-26 16:11:52,136 epoch 13 - iter 1590/2650 - loss 1.38312815 -2019-06-26 16:12:27,093 epoch 13 - iter 1855/2650 - loss 1.38490216 -2019-06-26 16:13:01,681 epoch 13 - iter 2120/2650 - loss 1.37993112 -2019-06-26 16:13:36,683 epoch 13 - iter 2385/2650 - loss 1.37218333 -2019-06-26 16:14:11,232 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:14:11,232 EPOCH 13 done: loss 1.3731 - lr 0.1000 -2019-06-26 16:16:06,006 TEST : loss 0.9149079322814941 - score 0.9845 -2019-06-26 16:16:06,006 BAD EPOCHS (no improvement): 0 -2019-06-26 16:16:06,007 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:16:06,141 epoch 14 - iter 0/2650 - loss 1.40482092 -2019-06-26 16:16:47,473 epoch 14 - iter 265/2650 - loss 1.34766236 -2019-06-26 16:17:28,453 epoch 14 - iter 530/2650 - loss 1.38252168 -2019-06-26 16:18:08,905 epoch 14 - iter 795/2650 - loss 1.36844607 -2019-06-26 16:18:48,700 epoch 14 - iter 1060/2650 - loss 1.36139553 -2019-06-26 16:19:23,764 epoch 14 - iter 1325/2650 - loss 1.35360865 -2019-06-26 16:19:58,347 epoch 14 - iter 1590/2650 - loss 1.34594978 -2019-06-26 16:20:33,477 epoch 14 - iter 1855/2650 - loss 1.34950589 -2019-06-26 16:21:09,440 epoch 14 - iter 2120/2650 - loss 1.34805240 -2019-06-26 16:21:46,522 epoch 14 - iter 2385/2650 - loss 1.34190209 -2019-06-26 16:22:27,189 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:22:27,190 EPOCH 14 done: loss 1.3467 - lr 0.1000 -2019-06-26 16:24:46,727 TEST : loss 0.8978148698806763 - score 0.9848 -2019-06-26 16:24:46,728 BAD EPOCHS (no improvement): 0 -2019-06-26 16:24:46,739 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:24:46,870 epoch 15 - iter 0/2650 - loss 1.10477650 -2019-06-26 16:25:22,557 epoch 15 - iter 265/2650 - loss 1.31976280 -2019-06-26 16:26:02,566 epoch 15 - iter 530/2650 - loss 1.35001331 -2019-06-26 16:26:42,546 epoch 15 - iter 795/2650 - loss 1.34567874 -2019-06-26 16:27:23,508 epoch 15 - iter 1060/2650 - loss 1.34462354 -2019-06-26 16:28:04,353 epoch 15 - iter 1325/2650 - loss 1.33832585 -2019-06-26 16:28:44,959 epoch 15 - iter 1590/2650 - loss 1.33383408 -2019-06-26 16:29:20,197 epoch 15 - iter 1855/2650 - loss 1.34033350 -2019-06-26 16:29:59,768 epoch 15 - iter 2120/2650 - loss 1.34167014 -2019-06-26 16:30:40,338 epoch 15 - iter 2385/2650 - loss 1.34023752 -2019-06-26 16:31:20,387 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:31:20,388 EPOCH 15 done: loss 1.3375 - lr 0.1000 -2019-06-26 16:33:08,611 TEST : loss 0.8893901109695435 - score 0.9845 -2019-06-26 16:33:08,612 BAD EPOCHS (no improvement): 0 -2019-06-26 16:33:08,613 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:33:08,743 epoch 16 - iter 0/2650 - loss 0.94747543 -2019-06-26 16:33:44,570 epoch 16 - iter 265/2650 - loss 1.31556086 -2019-06-26 16:34:20,426 epoch 16 - iter 530/2650 - loss 1.35663461 -2019-06-26 16:34:55,759 epoch 16 - iter 795/2650 - loss 1.35083285 -2019-06-26 16:35:30,707 epoch 16 - iter 1060/2650 - loss 1.33320861 -2019-06-26 16:36:05,989 epoch 16 - iter 1325/2650 - loss 1.33444880 -2019-06-26 16:36:40,869 epoch 16 - iter 1590/2650 - loss 1.32875891 -2019-06-26 16:37:16,541 epoch 16 - iter 1855/2650 - loss 1.32945737 -2019-06-26 16:37:51,468 epoch 16 - iter 2120/2650 - loss 1.32813656 -2019-06-26 16:38:31,640 epoch 16 - iter 2385/2650 - loss 1.32677012 -2019-06-26 16:39:11,906 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:39:11,907 EPOCH 16 done: loss 1.3308 - lr 0.1000 -2019-06-26 16:41:06,289 TEST : loss 0.9063434600830078 - score 0.9847 -2019-06-26 16:41:06,290 BAD EPOCHS (no improvement): 0 -2019-06-26 16:41:06,301 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:41:06,464 epoch 17 - iter 0/2650 - loss 1.18742955 -2019-06-26 16:41:43,548 epoch 17 - iter 265/2650 - loss 1.26915925 -2019-06-26 16:42:24,837 epoch 17 - iter 530/2650 - loss 1.28513997 -2019-06-26 16:42:59,952 epoch 17 - iter 795/2650 - loss 1.29366644 -2019-06-26 16:43:35,384 epoch 17 - iter 1060/2650 - loss 1.28912240 -2019-06-26 16:44:10,504 epoch 17 - iter 1325/2650 - loss 1.29493446 -2019-06-26 16:44:45,201 epoch 17 - iter 1590/2650 - loss 1.29594057 -2019-06-26 16:45:19,371 epoch 17 - iter 1855/2650 - loss 1.29060258 -2019-06-26 16:45:56,840 epoch 17 - iter 2120/2650 - loss 1.29874566 -2019-06-26 16:46:36,558 epoch 17 - iter 2385/2650 - loss 1.30337788 -2019-06-26 16:47:18,259 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:47:18,260 EPOCH 17 done: loss 1.3077 - lr 0.1000 -2019-06-26 16:49:37,546 TEST : loss 0.8879907131195068 - score 0.9844 -2019-06-26 16:49:37,547 BAD EPOCHS (no improvement): 0 -2019-06-26 16:49:37,559 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:49:37,727 epoch 18 - iter 0/2650 - loss 0.65708578 -2019-06-26 16:50:18,638 epoch 18 - iter 265/2650 - loss 1.30694651 -2019-06-26 16:50:59,478 epoch 18 - iter 530/2650 - loss 1.26768567 -2019-06-26 16:51:39,917 epoch 18 - iter 795/2650 - loss 1.27973776 -2019-06-26 16:52:20,339 epoch 18 - iter 1060/2650 - loss 1.28989823 -2019-06-26 16:53:01,341 epoch 18 - iter 1325/2650 - loss 1.27867483 -2019-06-26 16:53:36,545 epoch 18 - iter 1590/2650 - loss 1.28339997 -2019-06-26 16:54:12,441 epoch 18 - iter 1855/2650 - loss 1.28934861 -2019-06-26 16:54:53,210 epoch 18 - iter 2120/2650 - loss 1.28731304 -2019-06-26 16:55:32,749 epoch 18 - iter 2385/2650 - loss 1.28496716 -2019-06-26 16:56:07,568 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:56:07,568 EPOCH 18 done: loss 1.2762 - lr 0.1000 -2019-06-26 16:58:02,849 TEST : loss 0.8983049392700195 - score 0.9845 -2019-06-26 16:58:02,849 BAD EPOCHS (no improvement): 0 -2019-06-26 16:58:02,850 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:58:03,006 epoch 19 - iter 0/2650 - loss 1.57335794 -2019-06-26 16:58:39,251 epoch 19 - iter 265/2650 - loss 1.28634109 -2019-06-26 16:59:13,803 epoch 19 - iter 530/2650 - loss 1.28567658 -2019-06-26 16:59:48,794 epoch 19 - iter 795/2650 - loss 1.28031521 -2019-06-26 17:00:24,125 epoch 19 - iter 1060/2650 - loss 1.28275223 -2019-06-26 17:00:58,785 epoch 19 - iter 1325/2650 - loss 1.27291413 -2019-06-26 17:01:34,069 epoch 19 - iter 1590/2650 - loss 1.27301625 -2019-06-26 17:02:08,384 epoch 19 - iter 1855/2650 - loss 1.27284637 -2019-06-26 17:02:46,605 epoch 19 - iter 2120/2650 - loss 1.27597266 -2019-06-26 17:03:22,319 epoch 19 - iter 2385/2650 - loss 1.27163356 -2019-06-26 17:03:56,777 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:03:56,778 EPOCH 19 done: loss 1.2712 - lr 0.1000 -2019-06-26 17:05:53,608 TEST : loss 0.8802424073219299 - score 0.9851 -2019-06-26 17:05:53,609 BAD EPOCHS (no improvement): 0 -2019-06-26 17:05:53,610 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:05:53,829 epoch 20 - iter 0/2650 - loss 1.49151218 -2019-06-26 17:06:35,111 epoch 20 - iter 265/2650 - loss 1.26045892 -2019-06-26 17:07:15,638 epoch 20 - iter 530/2650 - loss 1.25473940 -2019-06-26 17:07:52,685 epoch 20 - iter 795/2650 - loss 1.25833662 -2019-06-26 17:08:32,872 epoch 20 - iter 1060/2650 - loss 1.24948625 -2019-06-26 17:09:13,144 epoch 20 - iter 1325/2650 - loss 1.25340795 -2019-06-26 17:09:53,920 epoch 20 - iter 1590/2650 - loss 1.25322769 -2019-06-26 17:10:34,586 epoch 20 - iter 1855/2650 - loss 1.24967910 -2019-06-26 17:11:11,444 epoch 20 - iter 2120/2650 - loss 1.26079129 -2019-06-26 17:11:46,238 epoch 20 - iter 2385/2650 - loss 1.26694596 -2019-06-26 17:12:21,725 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:12:21,726 EPOCH 20 done: loss 1.2710 - lr 0.1000 -2019-06-26 17:14:16,562 TEST : loss 0.8875988125801086 - score 0.9848 -2019-06-26 17:14:16,562 BAD EPOCHS (no improvement): 0 -2019-06-26 17:14:16,563 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:14:16,675 epoch 21 - iter 0/2650 - loss 0.64419484 -2019-06-26 17:14:53,066 epoch 21 - iter 265/2650 - loss 1.26600380 -2019-06-26 17:15:27,383 epoch 21 - iter 530/2650 - loss 1.26161277 -2019-06-26 17:16:02,739 epoch 21 - iter 795/2650 - loss 1.25741394 -2019-06-26 17:16:38,273 epoch 21 - iter 1060/2650 - loss 1.24634529 -2019-06-26 17:17:13,964 epoch 21 - iter 1325/2650 - loss 1.25730592 -2019-06-26 17:17:48,809 epoch 21 - iter 1590/2650 - loss 1.25673904 -2019-06-26 17:18:28,318 epoch 21 - iter 1855/2650 - loss 1.25767473 -2019-06-26 17:19:08,135 epoch 21 - iter 2120/2650 - loss 1.25593694 -2019-06-26 17:19:48,972 epoch 21 - iter 2385/2650 - loss 1.25404334 -2019-06-26 17:20:28,844 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:20:28,845 EPOCH 21 done: loss 1.2573 - lr 0.1000 -2019-06-26 17:22:23,885 TEST : loss 0.868634045124054 - score 0.9851 -2019-06-26 17:22:23,885 BAD EPOCHS (no improvement): 0 -2019-06-26 17:22:23,886 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:22:24,003 epoch 22 - iter 0/2650 - loss 0.62195039 -2019-06-26 17:23:04,568 epoch 22 - iter 265/2650 - loss 1.16276127 -2019-06-26 17:23:40,897 epoch 22 - iter 530/2650 - loss 1.21945818 -2019-06-26 17:24:16,357 epoch 22 - iter 795/2650 - loss 1.22916801 -2019-06-26 17:24:57,358 epoch 22 - iter 1060/2650 - loss 1.24733383 -2019-06-26 17:25:37,359 epoch 22 - iter 1325/2650 - loss 1.23838799 -2019-06-26 17:26:17,674 epoch 22 - iter 1590/2650 - loss 1.23020989 -2019-06-26 17:26:56,434 epoch 22 - iter 1855/2650 - loss 1.23182732 -2019-06-26 17:27:36,787 epoch 22 - iter 2120/2650 - loss 1.23850161 -2019-06-26 17:28:18,177 epoch 22 - iter 2385/2650 - loss 1.24747464 -2019-06-26 17:28:53,149 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:28:53,150 EPOCH 22 done: loss 1.2460 - lr 0.1000 -2019-06-26 17:30:41,283 TEST : loss 0.8761005401611328 - score 0.985 -2019-06-26 17:30:41,283 BAD EPOCHS (no improvement): 0 -2019-06-26 17:30:41,284 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:30:41,429 epoch 23 - iter 0/2650 - loss 1.69506884 -2019-06-26 17:31:17,336 epoch 23 - iter 265/2650 - loss 1.22979222 -2019-06-26 17:31:53,090 epoch 23 - iter 530/2650 - loss 1.22231449 -2019-06-26 17:32:28,586 epoch 23 - iter 795/2650 - loss 1.25250140 -2019-06-26 17:33:09,546 epoch 23 - iter 1060/2650 - loss 1.23711422 -2019-06-26 17:33:49,669 epoch 23 - iter 1325/2650 - loss 1.23844716 -2019-06-26 17:34:30,475 epoch 23 - iter 1590/2650 - loss 1.23058810 -2019-06-26 17:35:11,326 epoch 23 - iter 1855/2650 - loss 1.23540787 -2019-06-26 17:35:47,330 epoch 23 - iter 2120/2650 - loss 1.22452149 -2019-06-26 17:36:24,735 epoch 23 - iter 2385/2650 - loss 1.22384643 -2019-06-26 17:37:05,125 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:37:05,125 EPOCH 23 done: loss 1.2228 - lr 0.1000 -2019-06-26 17:38:59,696 TEST : loss 0.9007474780082703 - score 0.9848 -2019-06-26 17:38:59,696 BAD EPOCHS (no improvement): 0 -2019-06-26 17:38:59,697 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:38:59,861 epoch 24 - iter 0/2650 - loss 1.33080804 -2019-06-26 17:39:41,730 epoch 24 - iter 265/2650 - loss 1.24235348 -2019-06-26 17:40:17,226 epoch 24 - iter 530/2650 - loss 1.21621399 -2019-06-26 17:40:52,964 epoch 24 - iter 795/2650 - loss 1.22463751 -2019-06-26 17:41:28,235 epoch 24 - iter 1060/2650 - loss 1.23947611 -2019-06-26 17:42:02,932 epoch 24 - iter 1325/2650 - loss 1.24102126 -2019-06-26 17:42:37,701 epoch 24 - iter 1590/2650 - loss 1.23419170 -2019-06-26 17:43:12,165 epoch 24 - iter 1855/2650 - loss 1.22950352 -2019-06-26 17:43:50,111 epoch 24 - iter 2120/2650 - loss 1.22521424 -2019-06-26 17:44:30,732 epoch 24 - iter 2385/2650 - loss 1.21969480 -2019-06-26 17:45:11,927 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:45:11,928 EPOCH 24 done: loss 1.2213 - lr 0.1000 -2019-06-26 17:47:06,468 TEST : loss 0.8793701529502869 - score 0.9846 -2019-06-26 17:47:06,469 BAD EPOCHS (no improvement): 0 -2019-06-26 17:47:06,470 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:47:06,668 epoch 25 - iter 0/2650 - loss 0.77157950 -2019-06-26 17:47:48,464 epoch 25 - iter 265/2650 - loss 1.22889388 -2019-06-26 17:48:29,172 epoch 25 - iter 530/2650 - loss 1.23180761 -2019-06-26 17:49:10,091 epoch 25 - iter 795/2650 - loss 1.21853664 -2019-06-26 17:49:49,702 epoch 25 - iter 1060/2650 - loss 1.22550097 -2019-06-26 17:50:24,332 epoch 25 - iter 1325/2650 - loss 1.22688892 -2019-06-26 17:51:04,256 epoch 25 - iter 1590/2650 - loss 1.22246634 -2019-06-26 17:51:44,939 epoch 25 - iter 1855/2650 - loss 1.22825139 -2019-06-26 17:52:26,012 epoch 25 - iter 2120/2650 - loss 1.22152718 -2019-06-26 17:53:02,131 epoch 25 - iter 2385/2650 - loss 1.22029184 -2019-06-26 17:53:36,906 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:53:36,906 EPOCH 25 done: loss 1.2167 - lr 0.1000 -2019-06-26 17:55:32,295 TEST : loss 0.8733012676239014 - score 0.9852 -2019-06-26 17:55:32,295 BAD EPOCHS (no improvement): 0 -2019-06-26 17:55:32,296 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:55:32,472 epoch 26 - iter 0/2650 - loss 0.79612666 -2019-06-26 17:56:12,463 epoch 26 - iter 265/2650 - loss 1.18369323 -2019-06-26 17:56:52,953 epoch 26 - iter 530/2650 - loss 1.22019598 -2019-06-26 17:57:33,330 epoch 26 - iter 795/2650 - loss 1.23377966 -2019-06-26 17:58:13,822 epoch 26 - iter 1060/2650 - loss 1.21792130 -2019-06-26 17:58:54,743 epoch 26 - iter 1325/2650 - loss 1.21103796 -2019-06-26 17:59:30,108 epoch 26 - iter 1590/2650 - loss 1.21436551 -2019-06-26 18:00:04,815 epoch 26 - iter 1855/2650 - loss 1.20784024 -2019-06-26 18:00:39,207 epoch 26 - iter 2120/2650 - loss 1.21486921 -2019-06-26 18:01:14,046 epoch 26 - iter 2385/2650 - loss 1.21402588 -2019-06-26 18:01:51,218 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:01:51,219 EPOCH 26 done: loss 1.2115 - lr 0.1000 -2019-06-26 18:03:46,084 TEST : loss 0.8737635612487793 - score 0.9849 -2019-06-26 18:03:46,084 BAD EPOCHS (no improvement): 0 -2019-06-26 18:03:46,085 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:03:46,242 epoch 27 - iter 0/2650 - loss 1.77795100 -2019-06-26 18:04:22,796 epoch 27 - iter 265/2650 - loss 1.19661720 -2019-06-26 18:04:58,232 epoch 27 - iter 530/2650 - loss 1.19450086 -2019-06-26 18:05:33,289 epoch 27 - iter 795/2650 - loss 1.17819168 -2019-06-26 18:06:07,869 epoch 27 - iter 1060/2650 - loss 1.18059330 -2019-06-26 18:06:43,037 epoch 27 - iter 1325/2650 - loss 1.17448312 -2019-06-26 18:07:18,225 epoch 27 - iter 1590/2650 - loss 1.17341602 -2019-06-26 18:07:57,364 epoch 27 - iter 1855/2650 - loss 1.17216659 -2019-06-26 18:08:37,831 epoch 27 - iter 2120/2650 - loss 1.17359877 -2019-06-26 18:09:17,494 epoch 27 - iter 2385/2650 - loss 1.17130218 -2019-06-26 18:09:59,134 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:09:59,135 EPOCH 27 done: loss 1.1792 - lr 0.1000 -2019-06-26 18:11:54,079 TEST : loss 0.8651444315910339 - score 0.9853 -2019-06-26 18:11:54,080 BAD EPOCHS (no improvement): 0 -2019-06-26 18:11:54,081 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:11:54,309 epoch 28 - iter 0/2650 - loss 1.99158716 -2019-06-26 18:12:35,112 epoch 28 - iter 265/2650 - loss 1.21595867 -2019-06-26 18:13:16,950 epoch 28 - iter 530/2650 - loss 1.17127711 -2019-06-26 18:13:57,984 epoch 28 - iter 795/2650 - loss 1.18229138 -2019-06-26 18:14:37,628 epoch 28 - iter 1060/2650 - loss 1.19476232 -2019-06-26 18:15:18,330 epoch 28 - iter 1325/2650 - loss 1.19164315 -2019-06-26 18:15:58,069 epoch 28 - iter 1590/2650 - loss 1.18467093 -2019-06-26 18:16:38,099 epoch 28 - iter 1855/2650 - loss 1.18940956 -2019-06-26 18:17:18,451 epoch 28 - iter 2120/2650 - loss 1.18948770 -2019-06-26 18:17:56,328 epoch 28 - iter 2385/2650 - loss 1.18904484 -2019-06-26 18:18:33,654 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:18:33,655 EPOCH 28 done: loss 1.1898 - lr 0.1000 -2019-06-26 18:20:28,858 TEST : loss 0.8619667887687683 - score 0.9852 -2019-06-26 18:20:28,858 BAD EPOCHS (no improvement): 1 -2019-06-26 18:20:28,866 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:20:29,012 epoch 29 - iter 0/2650 - loss 1.80657959 -2019-06-26 18:21:09,344 epoch 29 - iter 265/2650 - loss 1.17289080 -2019-06-26 18:21:50,537 epoch 29 - iter 530/2650 - loss 1.18679004 -2019-06-26 18:22:27,548 epoch 29 - iter 795/2650 - loss 1.19193033 -2019-06-26 18:23:02,390 epoch 29 - iter 1060/2650 - loss 1.18803186 -2019-06-26 18:23:39,153 epoch 29 - iter 1325/2650 - loss 1.18691665 -2019-06-26 18:24:15,142 epoch 29 - iter 1590/2650 - loss 1.18329934 -2019-06-26 18:24:50,322 epoch 29 - iter 1855/2650 - loss 1.17746535 -2019-06-26 18:25:25,253 epoch 29 - iter 2120/2650 - loss 1.18649424 -2019-06-26 18:26:00,455 epoch 29 - iter 2385/2650 - loss 1.18297954 -2019-06-26 18:26:35,592 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:26:35,592 EPOCH 29 done: loss 1.1796 - lr 0.1000 -2019-06-26 18:28:24,078 TEST : loss 0.8816197514533997 - score 0.985 -2019-06-26 18:28:24,079 BAD EPOCHS (no improvement): 2 -2019-06-26 18:28:24,079 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:28:24,283 epoch 30 - iter 0/2650 - loss 1.21344340 -2019-06-26 18:29:04,560 epoch 30 - iter 265/2650 - loss 1.19879777 -2019-06-26 18:29:43,001 epoch 30 - iter 530/2650 - loss 1.20989412 -2019-06-26 18:30:23,533 epoch 30 - iter 795/2650 - loss 1.17472900 -2019-06-26 18:30:58,972 epoch 30 - iter 1060/2650 - loss 1.16928574 -2019-06-26 18:31:34,131 epoch 30 - iter 1325/2650 - loss 1.17115489 -2019-06-26 18:32:08,463 epoch 30 - iter 1590/2650 - loss 1.17179165 -2019-06-26 18:32:46,026 epoch 30 - iter 1855/2650 - loss 1.17830640 -2019-06-26 18:33:26,197 epoch 30 - iter 2120/2650 - loss 1.18067344 -2019-06-26 18:34:07,322 epoch 30 - iter 2385/2650 - loss 1.18579529 -2019-06-26 18:34:48,654 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:34:48,655 EPOCH 30 done: loss 1.1875 - lr 0.1000 -2019-06-26 18:37:07,878 TEST : loss 0.874102771282196 - score 0.9855 -2019-06-26 18:37:07,878 BAD EPOCHS (no improvement): 3 -2019-06-26 18:37:07,888 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:37:08,043 epoch 31 - iter 0/2650 - loss 0.80506843 -2019-06-26 18:37:48,676 epoch 31 - iter 265/2650 - loss 1.18390334 -2019-06-26 18:38:27,928 epoch 31 - iter 530/2650 - loss 1.15699892 -2019-06-26 18:39:03,009 epoch 31 - iter 795/2650 - loss 1.14613497 -2019-06-26 18:39:38,205 epoch 31 - iter 1060/2650 - loss 1.14213081 -2019-06-26 18:40:15,892 epoch 31 - iter 1325/2650 - loss 1.14312514 -2019-06-26 18:40:56,303 epoch 31 - iter 1590/2650 - loss 1.14431256 -2019-06-26 18:41:37,398 epoch 31 - iter 1855/2650 - loss 1.15322018 -2019-06-26 18:42:18,463 epoch 31 - iter 2120/2650 - loss 1.16718815 -2019-06-26 18:42:57,459 epoch 31 - iter 2385/2650 - loss 1.17096433 -2019-06-26 18:43:38,752 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:43:38,752 EPOCH 31 done: loss 1.1683 - lr 0.1000 -2019-06-26 18:45:33,332 TEST : loss 0.8671573996543884 - score 0.9854 -2019-06-26 18:45:33,333 BAD EPOCHS (no improvement): 0 -2019-06-26 18:45:33,334 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:45:33,495 epoch 32 - iter 0/2650 - loss 0.59053326 -2019-06-26 18:46:14,917 epoch 32 - iter 265/2650 - loss 1.14997403 -2019-06-26 18:46:56,141 epoch 32 - iter 530/2650 - loss 1.15865864 -2019-06-26 18:47:36,099 epoch 32 - iter 795/2650 - loss 1.15723520 -2019-06-26 18:48:17,101 epoch 32 - iter 1060/2650 - loss 1.15580778 -2019-06-26 18:48:56,053 epoch 32 - iter 1325/2650 - loss 1.15591707 -2019-06-26 18:49:36,524 epoch 32 - iter 1590/2650 - loss 1.16177296 -2019-06-26 18:50:11,388 epoch 32 - iter 1855/2650 - loss 1.15377026 -2019-06-26 18:50:46,321 epoch 32 - iter 2120/2650 - loss 1.14991607 -2019-06-26 18:51:20,438 epoch 32 - iter 2385/2650 - loss 1.15365882 -2019-06-26 18:51:55,042 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:51:55,043 EPOCH 32 done: loss 1.1571 - lr 0.1000 -2019-06-26 18:53:49,823 TEST : loss 0.8725769519805908 - score 0.9852 -2019-06-26 18:53:49,824 BAD EPOCHS (no improvement): 0 -2019-06-26 18:53:49,825 ---------------------------------------------------------------------------------------------------- -2019-06-26 18:53:49,993 epoch 33 - iter 0/2650 - loss 1.56210172 -2019-06-26 18:54:30,924 epoch 33 - iter 265/2650 - loss 1.11053938 -2019-06-26 18:55:06,979 epoch 33 - iter 530/2650 - loss 1.13891138 -2019-06-26 18:55:41,288 epoch 33 - iter 795/2650 - loss 1.14190799 -2019-06-26 18:56:16,906 epoch 33 - iter 1060/2650 - loss 1.14682935 -2019-06-26 18:56:53,447 epoch 33 - iter 1325/2650 - loss 1.14535957 -2019-06-26 18:57:32,892 epoch 33 - iter 1590/2650 - loss 1.15189846 -2019-06-26 18:58:13,822 epoch 33 - iter 1855/2650 - loss 1.14974896 -2019-06-26 18:58:49,220 epoch 33 - iter 2120/2650 - loss 1.15334982 -2019-06-26 18:59:24,732 epoch 33 - iter 2385/2650 - loss 1.15801953 -2019-06-26 19:00:03,741 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:00:03,741 EPOCH 33 done: loss 1.1585 - lr 0.1000 -2019-06-26 19:02:17,706 TEST : loss 0.8707659244537354 - score 0.9853 -2019-06-26 19:02:17,706 BAD EPOCHS (no improvement): 1 -2019-06-26 19:02:17,708 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:02:17,879 epoch 34 - iter 0/2650 - loss 0.79350996 -2019-06-26 19:02:53,452 epoch 34 - iter 265/2650 - loss 1.10526586 -2019-06-26 19:03:28,731 epoch 34 - iter 530/2650 - loss 1.12010826 -2019-06-26 19:04:04,436 epoch 34 - iter 795/2650 - loss 1.13368518 -2019-06-26 19:04:41,349 epoch 34 - iter 1060/2650 - loss 1.12061150 -2019-06-26 19:05:21,751 epoch 34 - iter 1325/2650 - loss 1.11818765 -2019-06-26 19:06:02,596 epoch 34 - iter 1590/2650 - loss 1.12981620 -2019-06-26 19:06:42,828 epoch 34 - iter 1855/2650 - loss 1.13453952 -2019-06-26 19:07:23,113 epoch 34 - iter 2120/2650 - loss 1.13747117 -2019-06-26 19:08:03,362 epoch 34 - iter 2385/2650 - loss 1.13251020 -2019-06-26 19:08:43,986 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:08:43,987 EPOCH 34 done: loss 1.1394 - lr 0.1000 -2019-06-26 19:10:39,487 TEST : loss 0.8681735992431641 - score 0.9853 -2019-06-26 19:10:39,488 BAD EPOCHS (no improvement): 0 -2019-06-26 19:10:39,488 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:10:39,629 epoch 35 - iter 0/2650 - loss 0.16485655 -2019-06-26 19:11:14,960 epoch 35 - iter 265/2650 - loss 1.13795781 -2019-06-26 19:11:49,794 epoch 35 - iter 530/2650 - loss 1.14347262 -2019-06-26 19:12:24,559 epoch 35 - iter 795/2650 - loss 1.12847934 -2019-06-26 19:12:58,928 epoch 35 - iter 1060/2650 - loss 1.13962444 -2019-06-26 19:13:33,393 epoch 35 - iter 1325/2650 - loss 1.13472451 -2019-06-26 19:14:10,922 epoch 35 - iter 1590/2650 - loss 1.13393408 -2019-06-26 19:14:52,328 epoch 35 - iter 1855/2650 - loss 1.14128127 -2019-06-26 19:15:32,246 epoch 35 - iter 2120/2650 - loss 1.13752706 -2019-06-26 19:16:13,376 epoch 35 - iter 2385/2650 - loss 1.14106237 -2019-06-26 19:16:53,577 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:16:53,578 EPOCH 35 done: loss 1.1428 - lr 0.1000 -2019-06-26 19:19:04,939 TEST : loss 0.8624382615089417 - score 0.9854 -2019-06-26 19:19:04,940 BAD EPOCHS (no improvement): 1 -2019-06-26 19:19:04,940 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:19:05,125 epoch 36 - iter 0/2650 - loss 0.61670166 -2019-06-26 19:19:45,176 epoch 36 - iter 265/2650 - loss 1.18928386 -2019-06-26 19:20:25,966 epoch 36 - iter 530/2650 - loss 1.14737451 -2019-06-26 19:21:07,085 epoch 36 - iter 795/2650 - loss 1.13784182 -2019-06-26 19:21:43,596 epoch 36 - iter 1060/2650 - loss 1.13347108 -2019-06-26 19:22:20,476 epoch 36 - iter 1325/2650 - loss 1.13428910 -2019-06-26 19:23:01,250 epoch 36 - iter 1590/2650 - loss 1.13686783 -2019-06-26 19:23:41,219 epoch 36 - iter 1855/2650 - loss 1.13535190 -2019-06-26 19:24:21,906 epoch 36 - iter 2120/2650 - loss 1.14215356 -2019-06-26 19:24:57,870 epoch 36 - iter 2385/2650 - loss 1.14635292 -2019-06-26 19:25:32,698 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:25:32,698 EPOCH 36 done: loss 1.1424 - lr 0.1000 -2019-06-26 19:27:45,288 TEST : loss 0.8647207021713257 - score 0.9854 -2019-06-26 19:27:45,289 BAD EPOCHS (no improvement): 2 -2019-06-26 19:27:45,290 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:27:45,448 epoch 37 - iter 0/2650 - loss 0.95856154 -2019-06-26 19:28:26,317 epoch 37 - iter 265/2650 - loss 1.11759118 -2019-06-26 19:29:05,928 epoch 37 - iter 530/2650 - loss 1.12229446 -2019-06-26 19:29:41,670 epoch 37 - iter 795/2650 - loss 1.13195835 -2019-06-26 19:30:16,292 epoch 37 - iter 1060/2650 - loss 1.13579929 -2019-06-26 19:30:52,353 epoch 37 - iter 1325/2650 - loss 1.12554920 -2019-06-26 19:31:31,640 epoch 37 - iter 1590/2650 - loss 1.11652100 -2019-06-26 19:32:12,064 epoch 37 - iter 1855/2650 - loss 1.11356624 -2019-06-26 19:32:50,926 epoch 37 - iter 2120/2650 - loss 1.12212786 -2019-06-26 19:33:31,107 epoch 37 - iter 2385/2650 - loss 1.12249891 -2019-06-26 19:34:10,493 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:34:10,494 EPOCH 37 done: loss 1.1203 - lr 0.1000 -2019-06-26 19:36:05,083 TEST : loss 0.8638347387313843 - score 0.9854 -2019-06-26 19:36:05,084 BAD EPOCHS (no improvement): 0 -2019-06-26 19:36:05,084 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:36:05,243 epoch 38 - iter 0/2650 - loss 0.73650032 -2019-06-26 19:36:41,314 epoch 38 - iter 265/2650 - loss 1.05345903 -2019-06-26 19:37:16,820 epoch 38 - iter 530/2650 - loss 1.07280075 -2019-06-26 19:37:57,025 epoch 38 - iter 795/2650 - loss 1.09652458 -2019-06-26 19:38:37,532 epoch 38 - iter 1060/2650 - loss 1.09262874 -2019-06-26 19:39:18,252 epoch 38 - iter 1325/2650 - loss 1.10557283 -2019-06-26 19:39:58,494 epoch 38 - iter 1590/2650 - loss 1.11701434 -2019-06-26 19:40:39,100 epoch 38 - iter 1855/2650 - loss 1.12732852 -2019-06-26 19:41:16,698 epoch 38 - iter 2120/2650 - loss 1.12798758 -2019-06-26 19:41:52,222 epoch 38 - iter 2385/2650 - loss 1.13215500 -2019-06-26 19:42:27,152 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:42:27,152 EPOCH 38 done: loss 1.1311 - lr 0.1000 -2019-06-26 19:44:21,676 TEST : loss 0.8702887892723083 - score 0.9851 -2019-06-26 19:44:21,677 BAD EPOCHS (no improvement): 1 -2019-06-26 19:44:21,678 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:44:21,820 epoch 39 - iter 0/2650 - loss 0.50223625 -2019-06-26 19:45:02,953 epoch 39 - iter 265/2650 - loss 1.18563270 -2019-06-26 19:45:43,517 epoch 39 - iter 530/2650 - loss 1.12541043 -2019-06-26 19:46:22,397 epoch 39 - iter 795/2650 - loss 1.12473008 -2019-06-26 19:46:57,273 epoch 39 - iter 1060/2650 - loss 1.13695860 -2019-06-26 19:47:32,829 epoch 39 - iter 1325/2650 - loss 1.12708617 -2019-06-26 19:48:07,235 epoch 39 - iter 1590/2650 - loss 1.12374704 -2019-06-26 19:48:42,910 epoch 39 - iter 1855/2650 - loss 1.12210001 -2019-06-26 19:49:17,901 epoch 39 - iter 2120/2650 - loss 1.11933912 -2019-06-26 19:49:56,108 epoch 39 - iter 2385/2650 - loss 1.12297348 -2019-06-26 19:50:36,405 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:50:36,405 EPOCH 39 done: loss 1.1273 - lr 0.1000 -2019-06-26 19:52:55,533 TEST : loss 0.8800793290138245 - score 0.9852 -2019-06-26 19:52:55,533 BAD EPOCHS (no improvement): 2 -2019-06-26 19:52:55,534 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:52:55,684 epoch 40 - iter 0/2650 - loss 0.61800975 -2019-06-26 19:53:31,250 epoch 40 - iter 265/2650 - loss 1.10460820 -2019-06-26 19:54:07,316 epoch 40 - iter 530/2650 - loss 1.11457398 -2019-06-26 19:54:42,708 epoch 40 - iter 795/2650 - loss 1.12158692 -2019-06-26 19:55:18,314 epoch 40 - iter 1060/2650 - loss 1.12374450 -2019-06-26 19:55:57,040 epoch 40 - iter 1325/2650 - loss 1.11400673 -2019-06-26 19:56:37,346 epoch 40 - iter 1590/2650 - loss 1.12267317 -2019-06-26 19:57:13,585 epoch 40 - iter 1855/2650 - loss 1.13067543 -2019-06-26 19:57:48,310 epoch 40 - iter 2120/2650 - loss 1.12520150 -2019-06-26 19:58:23,617 epoch 40 - iter 2385/2650 - loss 1.12767320 -2019-06-26 19:58:58,785 ---------------------------------------------------------------------------------------------------- -2019-06-26 19:58:58,786 EPOCH 40 done: loss 1.1242 - lr 0.1000 -2019-06-26 20:00:54,143 TEST : loss 0.8791370391845703 - score 0.9854 -2019-06-26 20:00:54,143 BAD EPOCHS (no improvement): 3 -2019-06-26 20:00:54,144 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:00:54,270 epoch 41 - iter 0/2650 - loss 0.49203938 -2019-06-26 20:01:35,262 epoch 41 - iter 265/2650 - loss 1.07002561 -2019-06-26 20:02:12,082 epoch 41 - iter 530/2650 - loss 1.08091472 -2019-06-26 20:02:51,921 epoch 41 - iter 795/2650 - loss 1.07843749 -2019-06-26 20:03:31,692 epoch 41 - iter 1060/2650 - loss 1.07374075 -2019-06-26 20:04:11,977 epoch 41 - iter 1325/2650 - loss 1.09113224 -2019-06-26 20:04:52,469 epoch 41 - iter 1590/2650 - loss 1.09169532 -2019-06-26 20:05:33,420 epoch 41 - iter 1855/2650 - loss 1.09036281 -2019-06-26 20:06:13,285 epoch 41 - iter 2120/2650 - loss 1.09504852 -2019-06-26 20:06:47,952 epoch 41 - iter 2385/2650 - loss 1.09613569 -2019-06-26 20:07:23,221 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:07:23,222 EPOCH 41 done: loss 1.0961 - lr 0.1000 -2019-06-26 20:09:18,187 TEST : loss 0.8757585287094116 - score 0.9854 -2019-06-26 20:09:18,187 BAD EPOCHS (no improvement): 0 -2019-06-26 20:09:18,188 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:09:18,365 epoch 42 - iter 0/2650 - loss 1.01847529 -2019-06-26 20:10:00,425 epoch 42 - iter 265/2650 - loss 1.07357796 -2019-06-26 20:10:35,982 epoch 42 - iter 530/2650 - loss 1.07453469 -2019-06-26 20:11:10,894 epoch 42 - iter 795/2650 - loss 1.08866136 -2019-06-26 20:11:46,314 epoch 42 - iter 1060/2650 - loss 1.08080770 -2019-06-26 20:12:21,270 epoch 42 - iter 1325/2650 - loss 1.08250876 -2019-06-26 20:12:56,217 epoch 42 - iter 1590/2650 - loss 1.09529522 -2019-06-26 20:13:32,255 epoch 42 - iter 1855/2650 - loss 1.10435130 -2019-06-26 20:14:06,452 epoch 42 - iter 2120/2650 - loss 1.09171222 -2019-06-26 20:14:40,568 epoch 42 - iter 2385/2650 - loss 1.09529551 -2019-06-26 20:15:14,797 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:15:14,797 EPOCH 42 done: loss 1.1003 - lr 0.1000 -2019-06-26 20:17:09,772 TEST : loss 0.8738007545471191 - score 0.9851 -2019-06-26 20:17:09,772 BAD EPOCHS (no improvement): 1 -2019-06-26 20:17:09,773 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:17:10,004 epoch 43 - iter 0/2650 - loss 0.95044470 -2019-06-26 20:17:46,993 epoch 43 - iter 265/2650 - loss 1.08175223 -2019-06-26 20:18:22,439 epoch 43 - iter 530/2650 - loss 1.06392210 -2019-06-26 20:18:57,614 epoch 43 - iter 795/2650 - loss 1.06388956 -2019-06-26 20:19:32,122 epoch 43 - iter 1060/2650 - loss 1.07149480 -2019-06-26 20:20:07,413 epoch 43 - iter 1325/2650 - loss 1.06963679 -2019-06-26 20:20:42,051 epoch 43 - iter 1590/2650 - loss 1.07299557 -2019-06-26 20:21:17,685 epoch 43 - iter 1855/2650 - loss 1.07817023 -2019-06-26 20:21:58,513 epoch 43 - iter 2120/2650 - loss 1.08259212 -2019-06-26 20:22:39,242 epoch 43 - iter 2385/2650 - loss 1.08659762 -2019-06-26 20:23:14,467 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:23:14,467 EPOCH 43 done: loss 1.0919 - lr 0.1000 -2019-06-26 20:25:02,691 TEST : loss 0.8711261749267578 - score 0.9857 -2019-06-26 20:25:02,692 BAD EPOCHS (no improvement): 0 -2019-06-26 20:25:02,692 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:25:02,837 epoch 44 - iter 0/2650 - loss 1.96314645 -2019-06-26 20:25:39,400 epoch 44 - iter 265/2650 - loss 1.10370383 -2019-06-26 20:26:14,001 epoch 44 - iter 530/2650 - loss 1.09683184 -2019-06-26 20:26:49,903 epoch 44 - iter 795/2650 - loss 1.09760975 -2019-06-26 20:27:24,706 epoch 44 - iter 1060/2650 - loss 1.09393783 -2019-06-26 20:27:59,566 epoch 44 - iter 1325/2650 - loss 1.07894571 -2019-06-26 20:28:33,968 epoch 44 - iter 1590/2650 - loss 1.09151099 -2019-06-26 20:29:08,908 epoch 44 - iter 1855/2650 - loss 1.08615961 -2019-06-26 20:29:44,423 epoch 44 - iter 2120/2650 - loss 1.08988158 -2019-06-26 20:30:22,053 epoch 44 - iter 2385/2650 - loss 1.09189529 -2019-06-26 20:31:02,153 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:31:02,153 EPOCH 44 done: loss 1.0956 - lr 0.1000 -2019-06-26 20:32:56,506 TEST : loss 0.8664193153381348 - score 0.9854 -2019-06-26 20:32:56,507 BAD EPOCHS (no improvement): 1 -2019-06-26 20:32:56,507 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:32:56,675 epoch 45 - iter 0/2650 - loss 0.86493492 -2019-06-26 20:33:37,329 epoch 45 - iter 265/2650 - loss 1.07054712 -2019-06-26 20:34:18,989 epoch 45 - iter 530/2650 - loss 1.06556760 -2019-06-26 20:34:59,230 epoch 45 - iter 795/2650 - loss 1.07308812 -2019-06-26 20:35:34,043 epoch 45 - iter 1060/2650 - loss 1.08248932 -2019-06-26 20:36:09,590 epoch 45 - iter 1325/2650 - loss 1.08795048 -2019-06-26 20:36:45,186 epoch 45 - iter 1590/2650 - loss 1.08502290 -2019-06-26 20:37:20,846 epoch 45 - iter 1855/2650 - loss 1.08636106 -2019-06-26 20:38:00,541 epoch 45 - iter 2120/2650 - loss 1.08740819 -2019-06-26 20:38:39,664 epoch 45 - iter 2385/2650 - loss 1.09614806 -2019-06-26 20:39:15,569 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:39:15,569 EPOCH 45 done: loss 1.0931 - lr 0.1000 -2019-06-26 20:41:10,708 TEST : loss 0.8765290379524231 - score 0.9853 -2019-06-26 20:41:10,709 BAD EPOCHS (no improvement): 2 -2019-06-26 20:41:10,709 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:41:10,877 epoch 46 - iter 0/2650 - loss 1.37941349 -2019-06-26 20:41:46,116 epoch 46 - iter 265/2650 - loss 1.10481508 -2019-06-26 20:42:23,445 epoch 46 - iter 530/2650 - loss 1.08405621 -2019-06-26 20:43:04,070 epoch 46 - iter 795/2650 - loss 1.08258323 -2019-06-26 20:43:45,161 epoch 46 - iter 1060/2650 - loss 1.09101972 -2019-06-26 20:44:25,991 epoch 46 - iter 1325/2650 - loss 1.09093572 -2019-06-26 20:45:01,480 epoch 46 - iter 1590/2650 - loss 1.09629480 -2019-06-26 20:45:36,753 epoch 46 - iter 1855/2650 - loss 1.09448513 -2019-06-26 20:46:16,135 epoch 46 - iter 2120/2650 - loss 1.09346524 -2019-06-26 20:46:57,373 epoch 46 - iter 2385/2650 - loss 1.09122505 -2019-06-26 20:47:37,540 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:47:37,541 EPOCH 46 done: loss 1.0955 - lr 0.1000 -2019-06-26 20:49:32,386 TEST : loss 0.8595676422119141 - score 0.9857 -2019-06-26 20:49:32,386 BAD EPOCHS (no improvement): 3 -2019-06-26 20:49:32,387 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:49:32,614 epoch 47 - iter 0/2650 - loss 0.56514162 -2019-06-26 20:50:13,214 epoch 47 - iter 265/2650 - loss 1.06674547 -2019-06-26 20:50:54,950 epoch 47 - iter 530/2650 - loss 1.08411740 -2019-06-26 20:51:35,948 epoch 47 - iter 795/2650 - loss 1.09810210 -2019-06-26 20:52:15,812 epoch 47 - iter 1060/2650 - loss 1.10651765 -2019-06-26 20:52:53,635 epoch 47 - iter 1325/2650 - loss 1.10233860 -2019-06-26 20:53:34,187 epoch 47 - iter 1590/2650 - loss 1.09185714 -2019-06-26 20:54:09,404 epoch 47 - iter 1855/2650 - loss 1.09027117 -2019-06-26 20:54:44,318 epoch 47 - iter 2120/2650 - loss 1.08377849 -2019-06-26 20:55:19,255 epoch 47 - iter 2385/2650 - loss 1.08442721 -2019-06-26 20:55:54,038 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:55:54,039 EPOCH 47 done: loss 1.0824 - lr 0.1000 -2019-06-26 20:57:48,978 TEST : loss 0.8736404776573181 - score 0.9855 -2019-06-26 20:57:48,978 BAD EPOCHS (no improvement): 0 -2019-06-26 20:57:48,979 ---------------------------------------------------------------------------------------------------- -2019-06-26 20:57:49,174 epoch 48 - iter 0/2650 - loss 0.41945022 -2019-06-26 20:58:29,927 epoch 48 - iter 265/2650 - loss 1.02753885 -2019-06-26 20:59:10,743 epoch 48 - iter 530/2650 - loss 1.03767819 -2019-06-26 20:59:45,208 epoch 48 - iter 795/2650 - loss 1.05778825 -2019-06-26 21:00:20,400 epoch 48 - iter 1060/2650 - loss 1.05855607 -2019-06-26 21:00:55,084 epoch 48 - iter 1325/2650 - loss 1.04609192 -2019-06-26 21:01:30,948 epoch 48 - iter 1590/2650 - loss 1.06060791 -2019-06-26 21:02:11,011 epoch 48 - iter 1855/2650 - loss 1.06139881 -2019-06-26 21:02:52,830 epoch 48 - iter 2120/2650 - loss 1.06477774 -2019-06-26 21:03:33,009 epoch 48 - iter 2385/2650 - loss 1.06385966 -2019-06-26 21:04:12,942 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:04:12,943 EPOCH 48 done: loss 1.0659 - lr 0.1000 -2019-06-26 21:06:08,486 TEST : loss 0.8816397786140442 - score 0.9856 -2019-06-26 21:06:08,487 BAD EPOCHS (no improvement): 0 -2019-06-26 21:06:08,487 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:06:08,631 epoch 49 - iter 0/2650 - loss 1.01859391 -2019-06-26 21:06:49,567 epoch 49 - iter 265/2650 - loss 1.02972574 -2019-06-26 21:07:30,957 epoch 49 - iter 530/2650 - loss 1.04862823 -2019-06-26 21:08:07,855 epoch 49 - iter 795/2650 - loss 1.04866052 -2019-06-26 21:08:48,863 epoch 49 - iter 1060/2650 - loss 1.05741531 -2019-06-26 21:09:28,925 epoch 49 - iter 1325/2650 - loss 1.05225238 -2019-06-26 21:10:09,565 epoch 49 - iter 1590/2650 - loss 1.05777206 -2019-06-26 21:10:44,580 epoch 49 - iter 1855/2650 - loss 1.05718617 -2019-06-26 21:11:24,103 epoch 49 - iter 2120/2650 - loss 1.06762279 -2019-06-26 21:12:04,272 epoch 49 - iter 2385/2650 - loss 1.06484353 -2019-06-26 21:12:43,949 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:12:43,949 EPOCH 49 done: loss 1.0669 - lr 0.1000 -2019-06-26 21:15:03,420 TEST : loss 0.8638147115707397 - score 0.9854 -2019-06-26 21:15:03,420 BAD EPOCHS (no improvement): 1 -2019-06-26 21:15:03,421 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:15:03,642 epoch 50 - iter 0/2650 - loss 1.10003066 -2019-06-26 21:15:42,713 epoch 50 - iter 265/2650 - loss 1.07686548 -2019-06-26 21:16:18,619 epoch 50 - iter 530/2650 - loss 1.05520115 -2019-06-26 21:16:54,245 epoch 50 - iter 795/2650 - loss 1.07721255 -2019-06-26 21:17:29,505 epoch 50 - iter 1060/2650 - loss 1.07455616 -2019-06-26 21:18:04,459 epoch 50 - iter 1325/2650 - loss 1.08132024 -2019-06-26 21:18:40,304 epoch 50 - iter 1590/2650 - loss 1.07508392 -2019-06-26 21:19:15,371 epoch 50 - iter 1855/2650 - loss 1.07312868 -2019-06-26 21:19:50,894 epoch 50 - iter 2120/2650 - loss 1.07551886 -2019-06-26 21:20:26,996 epoch 50 - iter 2385/2650 - loss 1.08545358 -2019-06-26 21:21:08,028 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:21:08,028 EPOCH 50 done: loss 1.0886 - lr 0.1000 -2019-06-26 21:22:56,283 TEST : loss 0.8806375861167908 - score 0.9853 -2019-06-26 21:22:56,284 BAD EPOCHS (no improvement): 2 -2019-06-26 21:22:56,284 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:22:56,435 epoch 51 - iter 0/2650 - loss 1.55008411 -2019-06-26 21:23:37,328 epoch 51 - iter 265/2650 - loss 1.08480469 -2019-06-26 21:24:13,262 epoch 51 - iter 530/2650 - loss 1.06764031 -2019-06-26 21:24:51,300 epoch 51 - iter 795/2650 - loss 1.06658989 -2019-06-26 21:25:27,946 epoch 51 - iter 1060/2650 - loss 1.05645693 -2019-06-26 21:26:09,197 epoch 51 - iter 1325/2650 - loss 1.05514554 -2019-06-26 21:26:49,573 epoch 51 - iter 1590/2650 - loss 1.05445928 -2019-06-26 21:27:29,861 epoch 51 - iter 1855/2650 - loss 1.05584378 -2019-06-26 21:28:09,409 epoch 51 - iter 2120/2650 - loss 1.06034729 -2019-06-26 21:28:49,904 epoch 51 - iter 2385/2650 - loss 1.06279080 -2019-06-26 21:29:30,707 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:29:30,708 EPOCH 51 done: loss 1.0569 - lr 0.1000 -2019-06-26 21:31:47,350 TEST : loss 0.8815222978591919 - score 0.9853 -2019-06-26 21:31:47,351 BAD EPOCHS (no improvement): 0 -2019-06-26 21:31:47,352 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:31:47,506 epoch 52 - iter 0/2650 - loss 2.29181552 -2019-06-26 21:32:28,557 epoch 52 - iter 265/2650 - loss 1.01803486 -2019-06-26 21:33:08,367 epoch 52 - iter 530/2650 - loss 1.01516699 -2019-06-26 21:33:46,679 epoch 52 - iter 795/2650 - loss 1.04570334 -2019-06-26 21:34:23,776 epoch 52 - iter 1060/2650 - loss 1.04541851 -2019-06-26 21:35:03,563 epoch 52 - iter 1325/2650 - loss 1.04716049 -2019-06-26 21:35:42,548 epoch 52 - iter 1590/2650 - loss 1.04151303 -2019-06-26 21:36:23,078 epoch 52 - iter 1855/2650 - loss 1.04954934 -2019-06-26 21:37:04,055 epoch 52 - iter 2120/2650 - loss 1.05887886 -2019-06-26 21:37:44,181 epoch 52 - iter 2385/2650 - loss 1.05733085 -2019-06-26 21:38:22,562 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:38:22,562 EPOCH 52 done: loss 1.0592 - lr 0.1000 -2019-06-26 21:40:17,244 TEST : loss 0.8800312876701355 - score 0.9854 -2019-06-26 21:40:17,245 BAD EPOCHS (no improvement): 1 -2019-06-26 21:40:17,245 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:40:17,366 epoch 53 - iter 0/2650 - loss 0.76051342 -2019-06-26 21:40:52,765 epoch 53 - iter 265/2650 - loss 0.99857572 -2019-06-26 21:41:28,105 epoch 53 - iter 530/2650 - loss 1.02613828 -2019-06-26 21:42:02,136 epoch 53 - iter 795/2650 - loss 1.03506223 -2019-06-26 21:42:37,827 epoch 53 - iter 1060/2650 - loss 1.05369504 -2019-06-26 21:43:13,906 epoch 53 - iter 1325/2650 - loss 1.05589848 -2019-06-26 21:43:54,329 epoch 53 - iter 1590/2650 - loss 1.06112930 -2019-06-26 21:44:34,527 epoch 53 - iter 1855/2650 - loss 1.06394026 -2019-06-26 21:45:15,327 epoch 53 - iter 2120/2650 - loss 1.06396146 -2019-06-26 21:45:50,483 epoch 53 - iter 2385/2650 - loss 1.05758355 -2019-06-26 21:46:25,049 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:46:25,050 EPOCH 53 done: loss 1.0551 - lr 0.1000 -2019-06-26 21:48:19,876 TEST : loss 0.8634426593780518 - score 0.9857 -2019-06-26 21:48:19,877 BAD EPOCHS (no improvement): 0 -2019-06-26 21:48:19,877 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:48:20,015 epoch 54 - iter 0/2650 - loss 1.61461103 -2019-06-26 21:49:01,233 epoch 54 - iter 265/2650 - loss 1.05406098 -2019-06-26 21:49:42,011 epoch 54 - iter 530/2650 - loss 1.07034371 -2019-06-26 21:50:21,612 epoch 54 - iter 795/2650 - loss 1.04407127 -2019-06-26 21:50:57,780 epoch 54 - iter 1060/2650 - loss 1.04467902 -2019-06-26 21:51:33,843 epoch 54 - iter 1325/2650 - loss 1.04101792 -2019-06-26 21:52:09,726 epoch 54 - iter 1590/2650 - loss 1.03991858 -2019-06-26 21:52:44,541 epoch 54 - iter 1855/2650 - loss 1.04089817 -2019-06-26 21:53:19,404 epoch 54 - iter 2120/2650 - loss 1.04273714 -2019-06-26 21:53:58,390 epoch 54 - iter 2385/2650 - loss 1.03607499 -2019-06-26 21:54:38,165 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:54:38,166 EPOCH 54 done: loss 1.0348 - lr 0.1000 -2019-06-26 21:56:32,988 TEST : loss 0.8902379274368286 - score 0.9858 -2019-06-26 21:56:32,988 BAD EPOCHS (no improvement): 0 -2019-06-26 21:56:32,989 ---------------------------------------------------------------------------------------------------- -2019-06-26 21:56:33,117 epoch 55 - iter 0/2650 - loss 0.29366660 -2019-06-26 21:57:14,274 epoch 55 - iter 265/2650 - loss 1.02901712 -2019-06-26 21:57:55,711 epoch 55 - iter 530/2650 - loss 1.05700346 -2019-06-26 21:58:36,439 epoch 55 - iter 795/2650 - loss 1.05657157 -2019-06-26 21:59:17,023 epoch 55 - iter 1060/2650 - loss 1.05839426 -2019-06-26 21:59:55,041 epoch 55 - iter 1325/2650 - loss 1.05622684 -2019-06-26 22:00:29,008 epoch 55 - iter 1590/2650 - loss 1.05051662 -2019-06-26 22:01:05,328 epoch 55 - iter 1855/2650 - loss 1.05467751 -2019-06-26 22:01:45,830 epoch 55 - iter 2120/2650 - loss 1.05509123 -2019-06-26 22:02:20,620 epoch 55 - iter 2385/2650 - loss 1.05591759 -2019-06-26 22:02:58,277 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:02:58,277 EPOCH 55 done: loss 1.0554 - lr 0.1000 -2019-06-26 22:04:53,592 TEST : loss 0.8602169156074524 - score 0.9855 -2019-06-26 22:04:53,592 BAD EPOCHS (no improvement): 1 -2019-06-26 22:04:53,593 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:04:53,726 epoch 56 - iter 0/2650 - loss 1.29738450 -2019-06-26 22:05:33,668 epoch 56 - iter 265/2650 - loss 1.00772520 -2019-06-26 22:06:13,815 epoch 56 - iter 530/2650 - loss 0.98985979 -2019-06-26 22:06:49,656 epoch 56 - iter 795/2650 - loss 1.01763123 -2019-06-26 22:07:25,089 epoch 56 - iter 1060/2650 - loss 1.02265082 -2019-06-26 22:07:59,605 epoch 56 - iter 1325/2650 - loss 1.03540938 -2019-06-26 22:08:35,198 epoch 56 - iter 1590/2650 - loss 1.04173436 -2019-06-26 22:09:09,844 epoch 56 - iter 1855/2650 - loss 1.04309422 -2019-06-26 22:09:44,407 epoch 56 - iter 2120/2650 - loss 1.04189590 -2019-06-26 22:10:19,931 epoch 56 - iter 2385/2650 - loss 1.05198840 -2019-06-26 22:10:54,372 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:10:54,373 EPOCH 56 done: loss 1.0557 - lr 0.1000 -2019-06-26 22:12:49,495 TEST : loss 0.8598523139953613 - score 0.9858 -2019-06-26 22:12:49,496 BAD EPOCHS (no improvement): 2 -2019-06-26 22:12:49,509 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:12:49,641 epoch 57 - iter 0/2650 - loss 0.94965219 -2019-06-26 22:13:31,155 epoch 57 - iter 265/2650 - loss 0.97338971 -2019-06-26 22:14:08,374 epoch 57 - iter 530/2650 - loss 1.00714180 -2019-06-26 22:14:48,609 epoch 57 - iter 795/2650 - loss 1.00890100 -2019-06-26 22:15:28,795 epoch 57 - iter 1060/2650 - loss 1.01414215 -2019-06-26 22:16:09,412 epoch 57 - iter 1325/2650 - loss 1.02160632 -2019-06-26 22:16:49,809 epoch 57 - iter 1590/2650 - loss 1.03125817 -2019-06-26 22:17:30,438 epoch 57 - iter 1855/2650 - loss 1.03894259 -2019-06-26 22:18:11,097 epoch 57 - iter 2120/2650 - loss 1.04083500 -2019-06-26 22:18:50,799 epoch 57 - iter 2385/2650 - loss 1.04084005 -2019-06-26 22:19:26,153 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:19:26,153 EPOCH 57 done: loss 1.0437 - lr 0.1000 -2019-06-26 22:21:14,380 TEST : loss 0.8705869317054749 - score 0.9856 -2019-06-26 22:21:14,381 BAD EPOCHS (no improvement): 3 -2019-06-26 22:21:14,381 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:21:14,504 epoch 58 - iter 0/2650 - loss 1.83337867 -2019-06-26 22:21:50,572 epoch 58 - iter 265/2650 - loss 1.02546077 -2019-06-26 22:22:25,558 epoch 58 - iter 530/2650 - loss 1.00975041 -2019-06-26 22:22:59,745 epoch 58 - iter 795/2650 - loss 1.01148472 -2019-06-26 22:23:35,107 epoch 58 - iter 1060/2650 - loss 1.02248298 -2019-06-26 22:24:15,413 epoch 58 - iter 1325/2650 - loss 1.01221711 -2019-06-26 22:24:56,306 epoch 58 - iter 1590/2650 - loss 1.02197580 -2019-06-26 22:25:37,613 epoch 58 - iter 1855/2650 - loss 1.02509608 -2019-06-26 22:26:18,554 epoch 58 - iter 2120/2650 - loss 1.02183868 -2019-06-26 22:26:59,001 epoch 58 - iter 2385/2650 - loss 1.02041010 -2019-06-26 22:27:39,017 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:27:39,018 EPOCH 58 done: loss 1.0229 - lr 0.1000 -2019-06-26 22:29:57,850 TEST : loss 0.870323896408081 - score 0.9858 -2019-06-26 22:29:57,850 BAD EPOCHS (no improvement): 0 -2019-06-26 22:29:57,851 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:29:58,066 epoch 59 - iter 0/2650 - loss 0.84956962 -2019-06-26 22:30:35,128 epoch 59 - iter 265/2650 - loss 0.97807005 -2019-06-26 22:31:10,307 epoch 59 - iter 530/2650 - loss 1.00307938 -2019-06-26 22:31:51,064 epoch 59 - iter 795/2650 - loss 1.01366891 -2019-06-26 22:32:32,018 epoch 59 - iter 1060/2650 - loss 1.03207561 -2019-06-26 22:33:11,813 epoch 59 - iter 1325/2650 - loss 1.02856001 -2019-06-26 22:33:52,499 epoch 59 - iter 1590/2650 - loss 1.02395009 -2019-06-26 22:34:29,514 epoch 59 - iter 1855/2650 - loss 1.02825336 -2019-06-26 22:35:07,964 epoch 59 - iter 2120/2650 - loss 1.02430849 -2019-06-26 22:35:48,480 epoch 59 - iter 2385/2650 - loss 1.02559989 -2019-06-26 22:36:28,838 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:36:28,838 EPOCH 59 done: loss 1.0271 - lr 0.1000 -2019-06-26 22:38:26,269 TEST : loss 0.888481855392456 - score 0.9854 -2019-06-26 22:38:26,270 BAD EPOCHS (no improvement): 1 -2019-06-26 22:38:26,271 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:38:26,466 epoch 60 - iter 0/2650 - loss 0.84914398 -2019-06-26 22:39:07,146 epoch 60 - iter 265/2650 - loss 0.99016957 -2019-06-26 22:39:48,263 epoch 60 - iter 530/2650 - loss 1.00992688 -2019-06-26 22:40:29,267 epoch 60 - iter 795/2650 - loss 1.02971174 -2019-06-26 22:41:10,638 epoch 60 - iter 1060/2650 - loss 1.04668152 -2019-06-26 22:41:51,767 epoch 60 - iter 1325/2650 - loss 1.04326865 -2019-06-26 22:42:32,007 epoch 60 - iter 1590/2650 - loss 1.05066651 -2019-06-26 22:43:12,001 epoch 60 - iter 1855/2650 - loss 1.05044964 -2019-06-26 22:43:52,357 epoch 60 - iter 2120/2650 - loss 1.04328346 -2019-06-26 22:44:32,513 epoch 60 - iter 2385/2650 - loss 1.04184116 -2019-06-26 22:45:11,883 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:45:11,884 EPOCH 60 done: loss 1.0379 - lr 0.1000 -2019-06-26 22:47:07,018 TEST : loss 0.8799546360969543 - score 0.9855 -2019-06-26 22:47:07,018 BAD EPOCHS (no improvement): 2 -2019-06-26 22:47:07,019 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:47:07,185 epoch 61 - iter 0/2650 - loss 0.74841046 -2019-06-26 22:47:43,413 epoch 61 - iter 265/2650 - loss 0.95568154 -2019-06-26 22:48:18,696 epoch 61 - iter 530/2650 - loss 0.97405684 -2019-06-26 22:48:52,564 epoch 61 - iter 795/2650 - loss 0.98074782 -2019-06-26 22:49:27,734 epoch 61 - iter 1060/2650 - loss 0.99589148 -2019-06-26 22:50:03,819 epoch 61 - iter 1325/2650 - loss 1.00824315 -2019-06-26 22:50:38,933 epoch 61 - iter 1590/2650 - loss 1.01622457 -2019-06-26 22:51:14,373 epoch 61 - iter 1855/2650 - loss 1.02119788 -2019-06-26 22:51:50,842 epoch 61 - iter 2120/2650 - loss 1.02365759 -2019-06-26 22:52:26,448 epoch 61 - iter 2385/2650 - loss 1.02240709 -2019-06-26 22:53:00,784 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:53:00,784 EPOCH 61 done: loss 1.0227 - lr 0.1000 -2019-06-26 22:54:55,619 TEST : loss 0.8756501078605652 - score 0.9858 -2019-06-26 22:54:55,620 BAD EPOCHS (no improvement): 0 -2019-06-26 22:54:55,621 ---------------------------------------------------------------------------------------------------- -2019-06-26 22:54:55,756 epoch 62 - iter 0/2650 - loss 1.03072679 -2019-06-26 22:55:37,482 epoch 62 - iter 265/2650 - loss 0.98727406 -2019-06-26 22:56:17,932 epoch 62 - iter 530/2650 - loss 0.99570442 -2019-06-26 22:56:57,467 epoch 62 - iter 795/2650 - loss 0.99671630 -2019-06-26 22:57:37,447 epoch 62 - iter 1060/2650 - loss 0.99634744 -2019-06-26 22:58:18,070 epoch 62 - iter 1325/2650 - loss 0.99417177 -2019-06-26 22:58:59,313 epoch 62 - iter 1590/2650 - loss 0.99745040 -2019-06-26 22:59:39,544 epoch 62 - iter 1855/2650 - loss 1.00304223 -2019-06-26 23:00:20,344 epoch 62 - iter 2120/2650 - loss 1.01132280 -2019-06-26 23:01:00,880 epoch 62 - iter 2385/2650 - loss 1.01153790 -2019-06-26 23:01:40,261 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:01:40,262 EPOCH 62 done: loss 1.0122 - lr 0.1000 -2019-06-26 23:03:59,390 TEST : loss 0.8810533285140991 - score 0.9855 -2019-06-26 23:03:59,390 BAD EPOCHS (no improvement): 0 -2019-06-26 23:03:59,391 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:03:59,561 epoch 63 - iter 0/2650 - loss 0.83339792 -2019-06-26 23:04:39,062 epoch 63 - iter 265/2650 - loss 1.03013251 -2019-06-26 23:05:14,586 epoch 63 - iter 530/2650 - loss 1.04131680 -2019-06-26 23:05:50,280 epoch 63 - iter 795/2650 - loss 1.04987135 -2019-06-26 23:06:30,452 epoch 63 - iter 1060/2650 - loss 1.03219382 -2019-06-26 23:07:10,129 epoch 63 - iter 1325/2650 - loss 1.04124830 -2019-06-26 23:07:50,567 epoch 63 - iter 1590/2650 - loss 1.04592154 -2019-06-26 23:08:31,655 epoch 63 - iter 1855/2650 - loss 1.04248211 -2019-06-26 23:09:12,152 epoch 63 - iter 2120/2650 - loss 1.04019111 -2019-06-26 23:09:53,529 epoch 63 - iter 2385/2650 - loss 1.04720763 -2019-06-26 23:10:33,515 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:10:33,516 EPOCH 63 done: loss 1.0486 - lr 0.1000 -2019-06-26 23:12:52,826 TEST : loss 0.8817822933197021 - score 0.9854 -2019-06-26 23:12:52,827 BAD EPOCHS (no improvement): 1 -2019-06-26 23:12:52,827 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:12:53,060 epoch 64 - iter 0/2650 - loss 1.25681460 -2019-06-26 23:13:33,174 epoch 64 - iter 265/2650 - loss 1.01039294 -2019-06-26 23:14:13,917 epoch 64 - iter 530/2650 - loss 1.00168124 -2019-06-26 23:14:54,554 epoch 64 - iter 795/2650 - loss 1.00985904 -2019-06-26 23:15:35,297 epoch 64 - iter 1060/2650 - loss 1.00794616 -2019-06-26 23:16:11,230 epoch 64 - iter 1325/2650 - loss 1.00519413 -2019-06-26 23:16:46,423 epoch 64 - iter 1590/2650 - loss 1.01388515 -2019-06-26 23:17:20,983 epoch 64 - iter 1855/2650 - loss 1.01305957 -2019-06-26 23:17:57,981 epoch 64 - iter 2120/2650 - loss 1.00866073 -2019-06-26 23:18:37,951 epoch 64 - iter 2385/2650 - loss 1.01012665 -2019-06-26 23:19:18,657 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:19:18,658 EPOCH 64 done: loss 1.0170 - lr 0.1000 -2019-06-26 23:21:33,469 TEST : loss 0.8638274669647217 - score 0.9855 -2019-06-26 23:21:33,469 BAD EPOCHS (no improvement): 2 -2019-06-26 23:21:33,470 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:21:33,642 epoch 65 - iter 0/2650 - loss 0.45178086 -2019-06-26 23:22:14,938 epoch 65 - iter 265/2650 - loss 1.00169838 -2019-06-26 23:22:53,829 epoch 65 - iter 530/2650 - loss 1.01084790 -2019-06-26 23:23:34,092 epoch 65 - iter 795/2650 - loss 1.00857243 -2019-06-26 23:24:09,446 epoch 65 - iter 1060/2650 - loss 1.01274770 -2019-06-26 23:24:44,710 epoch 65 - iter 1325/2650 - loss 1.01461873 -2019-06-26 23:25:19,704 epoch 65 - iter 1590/2650 - loss 1.01643406 -2019-06-26 23:26:00,422 epoch 65 - iter 1855/2650 - loss 1.01598906 -2019-06-26 23:26:41,700 epoch 65 - iter 2120/2650 - loss 1.01518492 -2019-06-26 23:27:21,405 epoch 65 - iter 2385/2650 - loss 1.01133136 -2019-06-26 23:28:00,925 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:28:00,926 EPOCH 65 done: loss 1.0145 - lr 0.1000 -2019-06-26 23:29:55,682 TEST : loss 0.8873447775840759 - score 0.9854 -2019-06-26 23:29:55,682 BAD EPOCHS (no improvement): 3 -2019-06-26 23:29:55,683 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:29:55,820 epoch 66 - iter 0/2650 - loss 0.84100533 -2019-06-26 23:30:36,764 epoch 66 - iter 265/2650 - loss 0.98636287 -2019-06-26 23:31:12,923 epoch 66 - iter 530/2650 - loss 1.00640269 -2019-06-26 23:31:51,404 epoch 66 - iter 795/2650 - loss 1.01046223 -2019-06-26 23:32:31,201 epoch 66 - iter 1060/2650 - loss 1.01184821 -2019-06-26 23:33:06,091 epoch 66 - iter 1325/2650 - loss 1.00483156 -2019-06-26 23:33:41,635 epoch 66 - iter 1590/2650 - loss 1.00824053 -2019-06-26 23:34:17,193 epoch 66 - iter 1855/2650 - loss 1.01135559 -2019-06-26 23:34:52,422 epoch 66 - iter 2120/2650 - loss 1.01176903 -2019-06-26 23:35:27,930 epoch 66 - iter 2385/2650 - loss 1.01682401 -2019-06-26 23:36:02,302 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:36:02,302 EPOCH 66 done: loss 1.0148 - lr 0.1000 -2019-06-26 23:37:57,353 TEST : loss 0.8913549184799194 - score 0.9855 -2019-06-26 23:37:57,353 BAD EPOCHS (no improvement): 4 -2019-06-26 23:37:57,354 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:37:57,477 epoch 67 - iter 0/2650 - loss 0.90980172 -2019-06-26 23:38:37,993 epoch 67 - iter 265/2650 - loss 0.93524683 -2019-06-26 23:39:19,084 epoch 67 - iter 530/2650 - loss 0.99266705 -2019-06-26 23:39:59,469 epoch 67 - iter 795/2650 - loss 0.96823987 -2019-06-26 23:40:40,342 epoch 67 - iter 1060/2650 - loss 0.94980424 -2019-06-26 23:41:21,443 epoch 67 - iter 1325/2650 - loss 0.95320999 -2019-06-26 23:42:01,903 epoch 67 - iter 1590/2650 - loss 0.95134612 -2019-06-26 23:42:42,229 epoch 67 - iter 1855/2650 - loss 0.95717710 -2019-06-26 23:43:22,973 epoch 67 - iter 2120/2650 - loss 0.95575413 -2019-06-26 23:44:03,662 epoch 67 - iter 2385/2650 - loss 0.95360845 -2019-06-26 23:44:43,871 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:44:43,872 EPOCH 67 done: loss 0.9480 - lr 0.0500 -2019-06-26 23:46:39,175 TEST : loss 0.8857957124710083 - score 0.9859 -2019-06-26 23:46:39,176 BAD EPOCHS (no improvement): 0 -2019-06-26 23:46:39,176 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:46:39,388 epoch 68 - iter 0/2650 - loss 1.61177349 -2019-06-26 23:47:20,227 epoch 68 - iter 265/2650 - loss 0.93688132 -2019-06-26 23:47:56,124 epoch 68 - iter 530/2650 - loss 0.91378024 -2019-06-26 23:48:31,277 epoch 68 - iter 795/2650 - loss 0.94717122 -2019-06-26 23:49:06,886 epoch 68 - iter 1060/2650 - loss 0.95402322 -2019-06-26 23:49:41,744 epoch 68 - iter 1325/2650 - loss 0.93911339 -2019-06-26 23:50:16,227 epoch 68 - iter 1590/2650 - loss 0.94624451 -2019-06-26 23:50:51,073 epoch 68 - iter 1855/2650 - loss 0.94253754 -2019-06-26 23:51:26,086 epoch 68 - iter 2120/2650 - loss 0.95004151 -2019-06-26 23:52:03,835 epoch 68 - iter 2385/2650 - loss 0.94887713 -2019-06-26 23:52:44,577 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:52:44,577 EPOCH 68 done: loss 0.9425 - lr 0.0500 -2019-06-26 23:55:04,095 TEST : loss 0.8628813028335571 - score 0.9857 -2019-06-26 23:55:04,096 BAD EPOCHS (no improvement): 0 -2019-06-26 23:55:04,097 ---------------------------------------------------------------------------------------------------- -2019-06-26 23:55:04,252 epoch 69 - iter 0/2650 - loss 0.79810137 -2019-06-26 23:55:45,610 epoch 69 - iter 265/2650 - loss 0.91653098 -2019-06-26 23:56:22,509 epoch 69 - iter 530/2650 - loss 0.92309531 -2019-06-26 23:56:57,838 epoch 69 - iter 795/2650 - loss 0.91536051 -2019-06-26 23:57:32,503 epoch 69 - iter 1060/2650 - loss 0.91624104 -2019-06-26 23:58:12,278 epoch 69 - iter 1325/2650 - loss 0.92636018 -2019-06-26 23:58:52,685 epoch 69 - iter 1590/2650 - loss 0.92893652 -2019-06-26 23:59:32,162 epoch 69 - iter 1855/2650 - loss 0.91984468 -2019-06-27 00:00:13,422 epoch 69 - iter 2120/2650 - loss 0.91796151 -2019-06-27 00:00:53,451 epoch 69 - iter 2385/2650 - loss 0.91623333 -2019-06-27 00:01:35,089 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:01:35,090 EPOCH 69 done: loss 0.9136 - lr 0.0500 -2019-06-27 00:03:54,323 TEST : loss 0.8728424906730652 - score 0.9858 -2019-06-27 00:03:54,324 BAD EPOCHS (no improvement): 0 -2019-06-27 00:03:54,325 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:03:54,513 epoch 70 - iter 0/2650 - loss 0.55860853 -2019-06-27 00:04:36,371 epoch 70 - iter 265/2650 - loss 0.88082249 -2019-06-27 00:05:17,341 epoch 70 - iter 530/2650 - loss 0.92495453 -2019-06-27 00:05:57,681 epoch 70 - iter 795/2650 - loss 0.90903755 -2019-06-27 00:06:37,227 epoch 70 - iter 1060/2650 - loss 0.91307462 -2019-06-27 00:07:18,477 epoch 70 - iter 1325/2650 - loss 0.91960690 -2019-06-27 00:07:59,366 epoch 70 - iter 1590/2650 - loss 0.92597522 -2019-06-27 00:08:39,586 epoch 70 - iter 1855/2650 - loss 0.92262886 -2019-06-27 00:09:16,875 epoch 70 - iter 2120/2650 - loss 0.92696054 -2019-06-27 00:09:57,864 epoch 70 - iter 2385/2650 - loss 0.92335035 -2019-06-27 00:10:38,180 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:10:38,181 EPOCH 70 done: loss 0.9247 - lr 0.0500 -2019-06-27 00:12:33,790 TEST : loss 0.872383177280426 - score 0.9858 -2019-06-27 00:12:33,791 BAD EPOCHS (no improvement): 1 -2019-06-27 00:12:33,792 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:12:33,977 epoch 71 - iter 0/2650 - loss 0.85966504 -2019-06-27 00:13:15,230 epoch 71 - iter 265/2650 - loss 0.98833232 -2019-06-27 00:13:55,728 epoch 71 - iter 530/2650 - loss 0.93857910 -2019-06-27 00:14:35,929 epoch 71 - iter 795/2650 - loss 0.90642570 -2019-06-27 00:15:16,538 epoch 71 - iter 1060/2650 - loss 0.90280285 -2019-06-27 00:15:56,238 epoch 71 - iter 1325/2650 - loss 0.90410584 -2019-06-27 00:16:36,902 epoch 71 - iter 1590/2650 - loss 0.90727024 -2019-06-27 00:17:19,114 epoch 71 - iter 1855/2650 - loss 0.91520739 -2019-06-27 00:17:59,481 epoch 71 - iter 2120/2650 - loss 0.91799742 -2019-06-27 00:18:39,330 epoch 71 - iter 2385/2650 - loss 0.91437317 -2019-06-27 00:19:18,931 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:19:18,931 EPOCH 71 done: loss 0.9129 - lr 0.0500 -2019-06-27 00:21:15,985 TEST : loss 0.8710495233535767 - score 0.9859 -2019-06-27 00:21:15,986 BAD EPOCHS (no improvement): 0 -2019-06-27 00:21:15,987 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:21:16,154 epoch 72 - iter 0/2650 - loss 0.73725724 -2019-06-27 00:21:58,510 epoch 72 - iter 265/2650 - loss 0.93427928 -2019-06-27 00:22:39,375 epoch 72 - iter 530/2650 - loss 0.91160263 -2019-06-27 00:23:19,832 epoch 72 - iter 795/2650 - loss 0.91957785 -2019-06-27 00:23:58,709 epoch 72 - iter 1060/2650 - loss 0.91525825 -2019-06-27 00:24:34,881 epoch 72 - iter 1325/2650 - loss 0.91969126 -2019-06-27 00:25:10,779 epoch 72 - iter 1590/2650 - loss 0.91558501 -2019-06-27 00:25:51,397 epoch 72 - iter 1855/2650 - loss 0.90879575 -2019-06-27 00:26:31,886 epoch 72 - iter 2120/2650 - loss 0.90690033 -2019-06-27 00:27:12,121 epoch 72 - iter 2385/2650 - loss 0.90606979 -2019-06-27 00:27:46,614 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:27:46,615 EPOCH 72 done: loss 0.9043 - lr 0.0500 -2019-06-27 00:29:40,949 TEST : loss 0.8692572116851807 - score 0.9857 -2019-06-27 00:29:40,949 BAD EPOCHS (no improvement): 0 -2019-06-27 00:29:40,950 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:29:41,119 epoch 73 - iter 0/2650 - loss 0.92698568 -2019-06-27 00:30:16,492 epoch 73 - iter 265/2650 - loss 0.85855869 -2019-06-27 00:30:51,656 epoch 73 - iter 530/2650 - loss 0.88289870 -2019-06-27 00:31:27,595 epoch 73 - iter 795/2650 - loss 0.90411706 -2019-06-27 00:32:03,886 epoch 73 - iter 1060/2650 - loss 0.90429901 -2019-06-27 00:32:44,528 epoch 73 - iter 1325/2650 - loss 0.90285331 -2019-06-27 00:33:24,446 epoch 73 - iter 1590/2650 - loss 0.89565320 -2019-06-27 00:34:04,587 epoch 73 - iter 1855/2650 - loss 0.90243814 -2019-06-27 00:34:39,318 epoch 73 - iter 2120/2650 - loss 0.90698741 -2019-06-27 00:35:14,045 epoch 73 - iter 2385/2650 - loss 0.90687012 -2019-06-27 00:35:50,134 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:35:50,134 EPOCH 73 done: loss 0.9033 - lr 0.0500 -2019-06-27 00:37:44,632 TEST : loss 0.878852903842926 - score 0.986 -2019-06-27 00:37:44,632 BAD EPOCHS (no improvement): 0 -2019-06-27 00:37:44,633 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:37:44,783 epoch 74 - iter 0/2650 - loss 1.32537699 -2019-06-27 00:38:20,861 epoch 74 - iter 265/2650 - loss 0.89534785 -2019-06-27 00:38:57,275 epoch 74 - iter 530/2650 - loss 0.85547947 -2019-06-27 00:39:38,875 epoch 74 - iter 795/2650 - loss 0.85915506 -2019-06-27 00:40:18,939 epoch 74 - iter 1060/2650 - loss 0.85943173 -2019-06-27 00:40:58,845 epoch 74 - iter 1325/2650 - loss 0.86769848 -2019-06-27 00:41:34,836 epoch 74 - iter 1590/2650 - loss 0.86996292 -2019-06-27 00:42:10,709 epoch 74 - iter 1855/2650 - loss 0.87308308 -2019-06-27 00:42:51,724 epoch 74 - iter 2120/2650 - loss 0.87620422 -2019-06-27 00:43:27,066 epoch 74 - iter 2385/2650 - loss 0.87778850 -2019-06-27 00:44:02,306 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:44:02,306 EPOCH 74 done: loss 0.8774 - lr 0.0500 -2019-06-27 00:45:57,164 TEST : loss 0.865746259689331 - score 0.9857 -2019-06-27 00:45:57,165 BAD EPOCHS (no improvement): 0 -2019-06-27 00:45:57,166 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:45:57,301 epoch 75 - iter 0/2650 - loss 1.28564370 -2019-06-27 00:46:38,761 epoch 75 - iter 265/2650 - loss 0.89611993 -2019-06-27 00:47:18,325 epoch 75 - iter 530/2650 - loss 0.87886439 -2019-06-27 00:47:52,987 epoch 75 - iter 795/2650 - loss 0.87129867 -2019-06-27 00:48:27,508 epoch 75 - iter 1060/2650 - loss 0.86827249 -2019-06-27 00:49:02,372 epoch 75 - iter 1325/2650 - loss 0.86611502 -2019-06-27 00:49:37,473 epoch 75 - iter 1590/2650 - loss 0.86944837 -2019-06-27 00:50:13,198 epoch 75 - iter 1855/2650 - loss 0.86985441 -2019-06-27 00:50:54,657 epoch 75 - iter 2120/2650 - loss 0.87099445 -2019-06-27 00:51:35,024 epoch 75 - iter 2385/2650 - loss 0.86915759 -2019-06-27 00:52:15,217 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:52:15,217 EPOCH 75 done: loss 0.8680 - lr 0.0500 -2019-06-27 00:54:34,442 TEST : loss 0.8742089867591858 - score 0.9859 -2019-06-27 00:54:34,443 BAD EPOCHS (no improvement): 0 -2019-06-27 00:54:34,444 ---------------------------------------------------------------------------------------------------- -2019-06-27 00:54:34,683 epoch 76 - iter 0/2650 - loss 0.74848437 -2019-06-27 00:55:14,891 epoch 76 - iter 265/2650 - loss 0.83456859 -2019-06-27 00:55:55,825 epoch 76 - iter 530/2650 - loss 0.86533505 -2019-06-27 00:56:36,198 epoch 76 - iter 795/2650 - loss 0.89265158 -2019-06-27 00:57:16,393 epoch 76 - iter 1060/2650 - loss 0.88693467 -2019-06-27 00:57:52,863 epoch 76 - iter 1325/2650 - loss 0.89050175 -2019-06-27 00:58:27,759 epoch 76 - iter 1590/2650 - loss 0.88117217 -2019-06-27 00:59:07,837 epoch 76 - iter 1855/2650 - loss 0.88466175 -2019-06-27 00:59:50,277 epoch 76 - iter 2120/2650 - loss 0.88638698 -2019-06-27 01:00:30,065 epoch 76 - iter 2385/2650 - loss 0.89096680 -2019-06-27 01:01:08,908 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:01:08,908 EPOCH 76 done: loss 0.8914 - lr 0.0500 -2019-06-27 01:03:03,778 TEST : loss 0.87213134765625 - score 0.9858 -2019-06-27 01:03:03,778 BAD EPOCHS (no improvement): 1 -2019-06-27 01:03:03,779 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:03:03,928 epoch 77 - iter 0/2650 - loss 1.54031360 -2019-06-27 01:03:40,857 epoch 77 - iter 265/2650 - loss 0.85441200 -2019-06-27 01:04:21,451 epoch 77 - iter 530/2650 - loss 0.87682722 -2019-06-27 01:05:02,728 epoch 77 - iter 795/2650 - loss 0.87942935 -2019-06-27 01:05:39,648 epoch 77 - iter 1060/2650 - loss 0.87888825 -2019-06-27 01:06:14,712 epoch 77 - iter 1325/2650 - loss 0.87214118 -2019-06-27 01:06:55,411 epoch 77 - iter 1590/2650 - loss 0.87742261 -2019-06-27 01:07:36,155 epoch 77 - iter 1855/2650 - loss 0.87786911 -2019-06-27 01:08:14,772 epoch 77 - iter 2120/2650 - loss 0.87429103 -2019-06-27 01:08:49,751 epoch 77 - iter 2385/2650 - loss 0.87552786 -2019-06-27 01:09:24,831 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:09:24,832 EPOCH 77 done: loss 0.8722 - lr 0.0500 -2019-06-27 01:11:20,472 TEST : loss 0.8654622435569763 - score 0.9859 -2019-06-27 01:11:20,473 BAD EPOCHS (no improvement): 2 -2019-06-27 01:11:20,474 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:11:20,667 epoch 78 - iter 0/2650 - loss 1.45158267 -2019-06-27 01:12:02,226 epoch 78 - iter 265/2650 - loss 0.83252700 -2019-06-27 01:12:42,663 epoch 78 - iter 530/2650 - loss 0.85087046 -2019-06-27 01:13:22,774 epoch 78 - iter 795/2650 - loss 0.86566942 -2019-06-27 01:14:03,973 epoch 78 - iter 1060/2650 - loss 0.87319034 -2019-06-27 01:14:43,470 epoch 78 - iter 1325/2650 - loss 0.87386443 -2019-06-27 01:15:18,088 epoch 78 - iter 1590/2650 - loss 0.87363945 -2019-06-27 01:15:53,710 epoch 78 - iter 1855/2650 - loss 0.86705654 -2019-06-27 01:16:29,628 epoch 78 - iter 2120/2650 - loss 0.86650456 -2019-06-27 01:17:10,496 epoch 78 - iter 2385/2650 - loss 0.86963743 -2019-06-27 01:17:49,912 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:17:49,913 EPOCH 78 done: loss 0.8725 - lr 0.0500 -2019-06-27 01:19:45,067 TEST : loss 0.8700181245803833 - score 0.9859 -2019-06-27 01:19:45,067 BAD EPOCHS (no improvement): 3 -2019-06-27 01:19:45,068 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:19:45,197 epoch 79 - iter 0/2650 - loss 0.34784004 -2019-06-27 01:20:20,563 epoch 79 - iter 265/2650 - loss 0.90383500 -2019-06-27 01:20:55,758 epoch 79 - iter 530/2650 - loss 0.88228301 -2019-06-27 01:21:31,413 epoch 79 - iter 795/2650 - loss 0.88476816 -2019-06-27 01:22:11,403 epoch 79 - iter 1060/2650 - loss 0.87948670 -2019-06-27 01:22:51,677 epoch 79 - iter 1325/2650 - loss 0.88643368 -2019-06-27 01:23:33,395 epoch 79 - iter 1590/2650 - loss 0.88264340 -2019-06-27 01:24:13,565 epoch 79 - iter 1855/2650 - loss 0.87549010 -2019-06-27 01:24:52,843 epoch 79 - iter 2120/2650 - loss 0.87686945 -2019-06-27 01:25:33,048 epoch 79 - iter 2385/2650 - loss 0.87818824 -2019-06-27 01:26:13,605 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:26:13,606 EPOCH 79 done: loss 0.8822 - lr 0.0500 -2019-06-27 01:28:01,774 TEST : loss 0.8670461773872375 - score 0.986 -2019-06-27 01:28:01,775 BAD EPOCHS (no improvement): 4 -2019-06-27 01:28:01,776 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:28:01,935 epoch 80 - iter 0/2650 - loss 0.47866404 -2019-06-27 01:28:42,349 epoch 80 - iter 265/2650 - loss 0.84167032 -2019-06-27 01:29:23,676 epoch 80 - iter 530/2650 - loss 0.86877777 -2019-06-27 01:30:04,391 epoch 80 - iter 795/2650 - loss 0.87158139 -2019-06-27 01:30:40,308 epoch 80 - iter 1060/2650 - loss 0.85748662 -2019-06-27 01:31:14,631 epoch 80 - iter 1325/2650 - loss 0.85969782 -2019-06-27 01:31:49,393 epoch 80 - iter 1590/2650 - loss 0.86087849 -2019-06-27 01:32:25,041 epoch 80 - iter 1855/2650 - loss 0.86106164 -2019-06-27 01:33:05,031 epoch 80 - iter 2120/2650 - loss 0.85918812 -2019-06-27 01:33:42,162 epoch 80 - iter 2385/2650 - loss 0.85632060 -2019-06-27 01:34:17,127 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:34:17,127 EPOCH 80 done: loss 0.8531 - lr 0.0250 -2019-06-27 01:36:12,108 TEST : loss 0.8679666519165039 - score 0.9859 -2019-06-27 01:36:12,109 BAD EPOCHS (no improvement): 0 -2019-06-27 01:36:12,116 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:36:12,268 epoch 81 - iter 0/2650 - loss 0.51590896 -2019-06-27 01:36:54,223 epoch 81 - iter 265/2650 - loss 0.82343536 -2019-06-27 01:37:34,495 epoch 81 - iter 530/2650 - loss 0.83684138 -2019-06-27 01:38:14,722 epoch 81 - iter 795/2650 - loss 0.83207113 -2019-06-27 01:38:55,948 epoch 81 - iter 1060/2650 - loss 0.82800450 -2019-06-27 01:39:37,235 epoch 81 - iter 1325/2650 - loss 0.83563966 -2019-06-27 01:40:17,685 epoch 81 - iter 1590/2650 - loss 0.83105183 -2019-06-27 01:40:58,130 epoch 81 - iter 1855/2650 - loss 0.83360889 -2019-06-27 01:41:39,157 epoch 81 - iter 2120/2650 - loss 0.83459086 -2019-06-27 01:42:19,288 epoch 81 - iter 2385/2650 - loss 0.83360629 -2019-06-27 01:42:59,160 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:42:59,160 EPOCH 81 done: loss 0.8332 - lr 0.0250 -2019-06-27 01:44:54,367 TEST : loss 0.8621937036514282 - score 0.9859 -2019-06-27 01:44:54,368 BAD EPOCHS (no improvement): 0 -2019-06-27 01:44:54,368 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:44:54,526 epoch 82 - iter 0/2650 - loss 0.88949740 -2019-06-27 01:45:35,812 epoch 82 - iter 265/2650 - loss 0.78310704 -2019-06-27 01:46:11,566 epoch 82 - iter 530/2650 - loss 0.80620476 -2019-06-27 01:46:51,734 epoch 82 - iter 795/2650 - loss 0.81063080 -2019-06-27 01:47:31,929 epoch 82 - iter 1060/2650 - loss 0.80670328 -2019-06-27 01:48:11,826 epoch 82 - iter 1325/2650 - loss 0.81596933 -2019-06-27 01:48:50,389 epoch 82 - iter 1590/2650 - loss 0.81587216 -2019-06-27 01:49:25,840 epoch 82 - iter 1855/2650 - loss 0.82451232 -2019-06-27 01:50:00,786 epoch 82 - iter 2120/2650 - loss 0.82981388 -2019-06-27 01:50:36,766 epoch 82 - iter 2385/2650 - loss 0.82920442 -2019-06-27 01:51:11,841 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:51:11,841 EPOCH 82 done: loss 0.8316 - lr 0.0250 -2019-06-27 01:53:07,707 TEST : loss 0.8638757467269897 - score 0.986 -2019-06-27 01:53:07,707 BAD EPOCHS (no improvement): 0 -2019-06-27 01:53:07,708 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:53:07,916 epoch 83 - iter 0/2650 - loss 0.74033874 -2019-06-27 01:53:48,700 epoch 83 - iter 265/2650 - loss 0.81945590 -2019-06-27 01:54:29,075 epoch 83 - iter 530/2650 - loss 0.83071284 -2019-06-27 01:55:09,360 epoch 83 - iter 795/2650 - loss 0.82204487 -2019-06-27 01:55:49,388 epoch 83 - iter 1060/2650 - loss 0.83323029 -2019-06-27 01:56:29,811 epoch 83 - iter 1325/2650 - loss 0.83104349 -2019-06-27 01:57:10,167 epoch 83 - iter 1590/2650 - loss 0.83008009 -2019-06-27 01:57:50,820 epoch 83 - iter 1855/2650 - loss 0.83198987 -2019-06-27 01:58:32,328 epoch 83 - iter 2120/2650 - loss 0.82989711 -2019-06-27 01:59:12,890 epoch 83 - iter 2385/2650 - loss 0.83045212 -2019-06-27 01:59:54,083 ---------------------------------------------------------------------------------------------------- -2019-06-27 01:59:54,084 EPOCH 83 done: loss 0.8291 - lr 0.0250 -2019-06-27 02:01:49,057 TEST : loss 0.8625437617301941 - score 0.986 -2019-06-27 02:01:49,057 BAD EPOCHS (no improvement): 0 -2019-06-27 02:01:49,058 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:01:49,173 epoch 84 - iter 0/2650 - loss 0.57660711 -2019-06-27 02:02:30,062 epoch 84 - iter 265/2650 - loss 0.78297813 -2019-06-27 02:03:11,064 epoch 84 - iter 530/2650 - loss 0.82402094 -2019-06-27 02:03:50,993 epoch 84 - iter 795/2650 - loss 0.82851055 -2019-06-27 02:04:28,334 epoch 84 - iter 1060/2650 - loss 0.82421157 -2019-06-27 02:05:04,292 epoch 84 - iter 1325/2650 - loss 0.82278384 -2019-06-27 02:05:40,218 epoch 84 - iter 1590/2650 - loss 0.82639816 -2019-06-27 02:06:20,732 epoch 84 - iter 1855/2650 - loss 0.82970074 -2019-06-27 02:07:01,711 epoch 84 - iter 2120/2650 - loss 0.82817101 -2019-06-27 02:07:42,273 epoch 84 - iter 2385/2650 - loss 0.82896365 -2019-06-27 02:08:22,171 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:08:22,171 EPOCH 84 done: loss 0.8297 - lr 0.0250 -2019-06-27 02:10:17,282 TEST : loss 0.8690134882926941 - score 0.986 -2019-06-27 02:10:17,283 BAD EPOCHS (no improvement): 1 -2019-06-27 02:10:17,284 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:10:17,433 epoch 85 - iter 0/2650 - loss 0.74238360 -2019-06-27 02:10:56,714 epoch 85 - iter 265/2650 - loss 0.79517566 -2019-06-27 02:11:36,087 epoch 85 - iter 530/2650 - loss 0.80488413 -2019-06-27 02:12:11,775 epoch 85 - iter 795/2650 - loss 0.81479600 -2019-06-27 02:12:46,781 epoch 85 - iter 1060/2650 - loss 0.81591110 -2019-06-27 02:13:25,723 epoch 85 - iter 1325/2650 - loss 0.81442736 -2019-06-27 02:14:06,227 epoch 85 - iter 1590/2650 - loss 0.81629522 -2019-06-27 02:14:45,882 epoch 85 - iter 1855/2650 - loss 0.82208063 -2019-06-27 02:15:21,568 epoch 85 - iter 2120/2650 - loss 0.81952854 -2019-06-27 02:15:57,987 epoch 85 - iter 2385/2650 - loss 0.81718394 -2019-06-27 02:16:36,923 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:16:36,924 EPOCH 85 done: loss 0.8173 - lr 0.0250 -2019-06-27 02:18:32,082 TEST : loss 0.8628909587860107 - score 0.986 -2019-06-27 02:18:32,083 BAD EPOCHS (no improvement): 0 -2019-06-27 02:18:32,084 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:18:32,233 epoch 86 - iter 0/2650 - loss 0.66277361 -2019-06-27 02:19:07,283 epoch 86 - iter 265/2650 - loss 0.77984757 -2019-06-27 02:19:41,918 epoch 86 - iter 530/2650 - loss 0.78476113 -2019-06-27 02:20:16,221 epoch 86 - iter 795/2650 - loss 0.79748834 -2019-06-27 02:20:51,110 epoch 86 - iter 1060/2650 - loss 0.80249567 -2019-06-27 02:21:26,863 epoch 86 - iter 1325/2650 - loss 0.81618396 -2019-06-27 02:22:01,295 epoch 86 - iter 1590/2650 - loss 0.81219479 -2019-06-27 02:22:36,050 epoch 86 - iter 1855/2650 - loss 0.81276994 -2019-06-27 02:23:12,233 epoch 86 - iter 2120/2650 - loss 0.81428273 -2019-06-27 02:23:53,049 epoch 86 - iter 2385/2650 - loss 0.81214235 -2019-06-27 02:24:35,340 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:24:35,340 EPOCH 86 done: loss 0.8125 - lr 0.0250 -2019-06-27 02:26:43,887 TEST : loss 0.8665143251419067 - score 0.986 -2019-06-27 02:26:43,887 BAD EPOCHS (no improvement): 0 -2019-06-27 02:26:43,888 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:26:44,032 epoch 87 - iter 0/2650 - loss 0.82788020 -2019-06-27 02:27:24,909 epoch 87 - iter 265/2650 - loss 0.77979027 -2019-06-27 02:28:05,369 epoch 87 - iter 530/2650 - loss 0.78185156 -2019-06-27 02:28:45,967 epoch 87 - iter 795/2650 - loss 0.79166466 -2019-06-27 02:29:26,448 epoch 87 - iter 1060/2650 - loss 0.80545505 -2019-06-27 02:30:06,882 epoch 87 - iter 1325/2650 - loss 0.80892723 -2019-06-27 02:30:46,742 epoch 87 - iter 1590/2650 - loss 0.81090313 -2019-06-27 02:31:26,920 epoch 87 - iter 1855/2650 - loss 0.81510810 -2019-06-27 02:32:02,408 epoch 87 - iter 2120/2650 - loss 0.80939225 -2019-06-27 02:32:37,535 epoch 87 - iter 2385/2650 - loss 0.81233765 -2019-06-27 02:33:16,872 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:33:16,873 EPOCH 87 done: loss 0.8107 - lr 0.0250 -2019-06-27 02:35:36,193 TEST : loss 0.8698837161064148 - score 0.986 -2019-06-27 02:35:36,194 BAD EPOCHS (no improvement): 0 -2019-06-27 02:35:36,195 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:35:36,334 epoch 88 - iter 0/2650 - loss 1.13185048 -2019-06-27 02:36:17,823 epoch 88 - iter 265/2650 - loss 0.80057594 -2019-06-27 02:36:57,899 epoch 88 - iter 530/2650 - loss 0.80125344 -2019-06-27 02:37:38,985 epoch 88 - iter 795/2650 - loss 0.79922787 -2019-06-27 02:38:20,397 epoch 88 - iter 1060/2650 - loss 0.80364539 -2019-06-27 02:39:01,276 epoch 88 - iter 1325/2650 - loss 0.80258314 -2019-06-27 02:39:41,268 epoch 88 - iter 1590/2650 - loss 0.80346811 -2019-06-27 02:40:21,922 epoch 88 - iter 1855/2650 - loss 0.80833523 -2019-06-27 02:41:01,644 epoch 88 - iter 2120/2650 - loss 0.80649165 -2019-06-27 02:41:41,912 epoch 88 - iter 2385/2650 - loss 0.80921338 -2019-06-27 02:42:22,042 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:42:22,042 EPOCH 88 done: loss 0.8076 - lr 0.0250 -2019-06-27 02:44:17,442 TEST : loss 0.8780113458633423 - score 0.986 -2019-06-27 02:44:17,443 BAD EPOCHS (no improvement): 0 -2019-06-27 02:44:17,444 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:44:17,568 epoch 89 - iter 0/2650 - loss 0.89350450 -2019-06-27 02:44:53,886 epoch 89 - iter 265/2650 - loss 0.79508631 -2019-06-27 02:45:28,700 epoch 89 - iter 530/2650 - loss 0.81387814 -2019-06-27 02:46:03,752 epoch 89 - iter 795/2650 - loss 0.79866389 -2019-06-27 02:46:43,225 epoch 89 - iter 1060/2650 - loss 0.79982904 -2019-06-27 02:47:22,705 epoch 89 - iter 1325/2650 - loss 0.79904354 -2019-06-27 02:48:03,174 epoch 89 - iter 1590/2650 - loss 0.80430223 -2019-06-27 02:48:43,131 epoch 89 - iter 1855/2650 - loss 0.80241239 -2019-06-27 02:49:23,674 epoch 89 - iter 2120/2650 - loss 0.80232595 -2019-06-27 02:50:05,616 epoch 89 - iter 2385/2650 - loss 0.80471265 -2019-06-27 02:50:46,920 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:50:46,921 EPOCH 89 done: loss 0.8073 - lr 0.0250 -2019-06-27 02:53:06,028 TEST : loss 0.8748922944068909 - score 0.9861 -2019-06-27 02:53:06,028 BAD EPOCHS (no improvement): 0 -2019-06-27 02:53:06,029 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:53:06,170 epoch 90 - iter 0/2650 - loss 0.72344542 -2019-06-27 02:53:47,309 epoch 90 - iter 265/2650 - loss 0.81223986 -2019-06-27 02:54:27,560 epoch 90 - iter 530/2650 - loss 0.78678915 -2019-06-27 02:55:08,242 epoch 90 - iter 795/2650 - loss 0.79205249 -2019-06-27 02:55:49,033 epoch 90 - iter 1060/2650 - loss 0.79664679 -2019-06-27 02:56:29,336 epoch 90 - iter 1325/2650 - loss 0.80124235 -2019-06-27 02:57:10,155 epoch 90 - iter 1590/2650 - loss 0.80535111 -2019-06-27 02:57:48,602 epoch 90 - iter 1855/2650 - loss 0.79957436 -2019-06-27 02:58:25,687 epoch 90 - iter 2120/2650 - loss 0.80107225 -2019-06-27 02:59:06,267 epoch 90 - iter 2385/2650 - loss 0.79396822 -2019-06-27 02:59:46,643 ---------------------------------------------------------------------------------------------------- -2019-06-27 02:59:46,644 EPOCH 90 done: loss 0.7930 - lr 0.0250 -2019-06-27 03:02:06,030 TEST : loss 0.8709448575973511 - score 0.9861 -2019-06-27 03:02:06,031 BAD EPOCHS (no improvement): 0 -2019-06-27 03:02:06,032 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:02:06,224 epoch 91 - iter 0/2650 - loss 2.24657416 -2019-06-27 03:02:47,390 epoch 91 - iter 265/2650 - loss 0.80303700 -2019-06-27 03:03:28,300 epoch 91 - iter 530/2650 - loss 0.79394644 -2019-06-27 03:04:09,429 epoch 91 - iter 795/2650 - loss 0.80304637 -2019-06-27 03:04:48,904 epoch 91 - iter 1060/2650 - loss 0.80833245 -2019-06-27 03:05:29,280 epoch 91 - iter 1325/2650 - loss 0.82103088 -2019-06-27 03:06:09,577 epoch 91 - iter 1590/2650 - loss 0.81658517 -2019-06-27 03:06:49,845 epoch 91 - iter 1855/2650 - loss 0.81917437 -2019-06-27 03:07:29,711 epoch 91 - iter 2120/2650 - loss 0.81508225 -2019-06-27 03:08:09,395 epoch 91 - iter 2385/2650 - loss 0.81248734 -2019-06-27 03:08:49,941 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:08:49,942 EPOCH 91 done: loss 0.8116 - lr 0.0250 -2019-06-27 03:10:44,868 TEST : loss 0.8663097620010376 - score 0.986 -2019-06-27 03:10:44,869 BAD EPOCHS (no improvement): 1 -2019-06-27 03:10:44,870 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:10:45,026 epoch 92 - iter 0/2650 - loss 0.28836346 -2019-06-27 03:11:26,380 epoch 92 - iter 265/2650 - loss 0.78097365 -2019-06-27 03:12:06,173 epoch 92 - iter 530/2650 - loss 0.76942516 -2019-06-27 03:12:46,493 epoch 92 - iter 795/2650 - loss 0.78323323 -2019-06-27 03:13:28,088 epoch 92 - iter 1060/2650 - loss 0.79574034 -2019-06-27 03:14:06,992 epoch 92 - iter 1325/2650 - loss 0.80124843 -2019-06-27 03:14:48,267 epoch 92 - iter 1590/2650 - loss 0.80485753 -2019-06-27 03:15:28,236 epoch 92 - iter 1855/2650 - loss 0.80552260 -2019-06-27 03:16:08,290 epoch 92 - iter 2120/2650 - loss 0.80555781 -2019-06-27 03:16:48,355 epoch 92 - iter 2385/2650 - loss 0.80822598 -2019-06-27 03:17:28,481 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:17:28,482 EPOCH 92 done: loss 0.8052 - lr 0.0250 -2019-06-27 03:19:48,105 TEST : loss 0.8722399473190308 - score 0.9859 -2019-06-27 03:19:48,105 BAD EPOCHS (no improvement): 2 -2019-06-27 03:19:48,106 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:19:48,268 epoch 93 - iter 0/2650 - loss 0.58862603 -2019-06-27 03:20:28,136 epoch 93 - iter 265/2650 - loss 0.79565148 -2019-06-27 03:21:04,656 epoch 93 - iter 530/2650 - loss 0.80064421 -2019-06-27 03:21:39,116 epoch 93 - iter 795/2650 - loss 0.80212761 -2019-06-27 03:22:14,309 epoch 93 - iter 1060/2650 - loss 0.79176657 -2019-06-27 03:22:55,598 epoch 93 - iter 1325/2650 - loss 0.79512048 -2019-06-27 03:23:30,846 epoch 93 - iter 1590/2650 - loss 0.79200319 -2019-06-27 03:24:11,097 epoch 93 - iter 1855/2650 - loss 0.78876264 -2019-06-27 03:24:52,234 epoch 93 - iter 2120/2650 - loss 0.79127613 -2019-06-27 03:25:32,577 epoch 93 - iter 2385/2650 - loss 0.79294609 -2019-06-27 03:26:11,217 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:26:11,217 EPOCH 93 done: loss 0.7929 - lr 0.0250 -2019-06-27 03:27:59,440 TEST : loss 0.8725450038909912 - score 0.9861 -2019-06-27 03:27:59,441 BAD EPOCHS (no improvement): 3 -2019-06-27 03:27:59,442 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:27:59,675 epoch 94 - iter 0/2650 - loss 0.69224858 -2019-06-27 03:28:40,882 epoch 94 - iter 265/2650 - loss 0.79484480 -2019-06-27 03:29:16,300 epoch 94 - iter 530/2650 - loss 0.81458870 -2019-06-27 03:29:54,809 epoch 94 - iter 795/2650 - loss 0.79890167 -2019-06-27 03:30:35,918 epoch 94 - iter 1060/2650 - loss 0.81068730 -2019-06-27 03:31:16,752 epoch 94 - iter 1325/2650 - loss 0.80901474 -2019-06-27 03:31:57,904 epoch 94 - iter 1590/2650 - loss 0.80554058 -2019-06-27 03:32:34,323 epoch 94 - iter 1855/2650 - loss 0.80848051 -2019-06-27 03:33:14,222 epoch 94 - iter 2120/2650 - loss 0.80872020 -2019-06-27 03:33:54,255 epoch 94 - iter 2385/2650 - loss 0.80763042 -2019-06-27 03:34:34,466 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:34:34,466 EPOCH 94 done: loss 0.8075 - lr 0.0250 -2019-06-27 03:36:29,323 TEST : loss 0.8720933198928833 - score 0.9861 -2019-06-27 03:36:29,324 BAD EPOCHS (no improvement): 4 -2019-06-27 03:36:29,325 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:36:29,632 epoch 95 - iter 0/2650 - loss 1.92556334 -2019-06-27 03:37:09,785 epoch 95 - iter 265/2650 - loss 0.84216523 -2019-06-27 03:37:50,104 epoch 95 - iter 530/2650 - loss 0.81190805 -2019-06-27 03:38:30,047 epoch 95 - iter 795/2650 - loss 0.79792856 -2019-06-27 03:39:11,474 epoch 95 - iter 1060/2650 - loss 0.80479807 -2019-06-27 03:39:51,229 epoch 95 - iter 1325/2650 - loss 0.79548389 -2019-06-27 03:40:31,569 epoch 95 - iter 1590/2650 - loss 0.78946401 -2019-06-27 03:41:12,428 epoch 95 - iter 1855/2650 - loss 0.79032256 -2019-06-27 03:41:47,568 epoch 95 - iter 2120/2650 - loss 0.78429690 -2019-06-27 03:42:22,861 epoch 95 - iter 2385/2650 - loss 0.78452729 -2019-06-27 03:42:57,886 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:42:57,887 EPOCH 95 done: loss 0.7846 - lr 0.0125 -2019-06-27 03:44:53,116 TEST : loss 0.8689613938331604 - score 0.986 -2019-06-27 03:44:53,117 BAD EPOCHS (no improvement): 0 -2019-06-27 03:44:53,132 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:44:53,269 epoch 96 - iter 0/2650 - loss 0.66120577 -2019-06-27 03:45:35,709 epoch 96 - iter 265/2650 - loss 0.78854839 -2019-06-27 03:46:15,825 epoch 96 - iter 530/2650 - loss 0.81435838 -2019-06-27 03:46:55,617 epoch 96 - iter 795/2650 - loss 0.80837217 -2019-06-27 03:47:36,512 epoch 96 - iter 1060/2650 - loss 0.80474349 -2019-06-27 03:48:17,612 epoch 96 - iter 1325/2650 - loss 0.80351688 -2019-06-27 03:48:57,923 epoch 96 - iter 1590/2650 - loss 0.80326230 -2019-06-27 03:49:32,737 epoch 96 - iter 1855/2650 - loss 0.79463117 -2019-06-27 03:50:08,543 epoch 96 - iter 2120/2650 - loss 0.79768312 -2019-06-27 03:50:43,668 epoch 96 - iter 2385/2650 - loss 0.79613207 -2019-06-27 03:51:18,760 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:51:18,761 EPOCH 96 done: loss 0.7976 - lr 0.0125 -2019-06-27 03:53:13,433 TEST : loss 0.864532470703125 - score 0.9861 -2019-06-27 03:53:13,434 BAD EPOCHS (no improvement): 1 -2019-06-27 03:53:13,435 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:53:13,636 epoch 97 - iter 0/2650 - loss 0.73566186 -2019-06-27 03:53:53,918 epoch 97 - iter 265/2650 - loss 0.77459639 -2019-06-27 03:54:34,470 epoch 97 - iter 530/2650 - loss 0.77042407 -2019-06-27 03:55:09,949 epoch 97 - iter 795/2650 - loss 0.78251901 -2019-06-27 03:55:44,465 epoch 97 - iter 1060/2650 - loss 0.78625702 -2019-06-27 03:56:20,230 epoch 97 - iter 1325/2650 - loss 0.78447359 -2019-06-27 03:56:59,254 epoch 97 - iter 1590/2650 - loss 0.78354494 -2019-06-27 03:57:40,275 epoch 97 - iter 1855/2650 - loss 0.77777665 -2019-06-27 03:58:20,944 epoch 97 - iter 2120/2650 - loss 0.78359257 -2019-06-27 03:58:58,845 epoch 97 - iter 2385/2650 - loss 0.78566286 -2019-06-27 03:59:34,039 ---------------------------------------------------------------------------------------------------- -2019-06-27 03:59:34,040 EPOCH 97 done: loss 0.7843 - lr 0.0125 -2019-06-27 04:01:28,890 TEST : loss 0.8675511479377747 - score 0.986 -2019-06-27 04:01:28,891 BAD EPOCHS (no improvement): 0 -2019-06-27 04:01:28,896 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:01:29,042 epoch 98 - iter 0/2650 - loss 0.47312266 -2019-06-27 04:02:09,635 epoch 98 - iter 265/2650 - loss 0.81777582 -2019-06-27 04:02:49,641 epoch 98 - iter 530/2650 - loss 0.79075622 -2019-06-27 04:03:30,699 epoch 98 - iter 795/2650 - loss 0.78835376 -2019-06-27 04:04:09,566 epoch 98 - iter 1060/2650 - loss 0.78602553 -2019-06-27 04:04:44,551 epoch 98 - iter 1325/2650 - loss 0.78762384 -2019-06-27 04:05:22,565 epoch 98 - iter 1590/2650 - loss 0.78378480 -2019-06-27 04:06:03,460 epoch 98 - iter 1855/2650 - loss 0.78106835 -2019-06-27 04:06:44,286 epoch 98 - iter 2120/2650 - loss 0.78025512 -2019-06-27 04:07:25,262 epoch 98 - iter 2385/2650 - loss 0.77796093 -2019-06-27 04:08:05,538 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:08:05,539 EPOCH 98 done: loss 0.7774 - lr 0.0125 -2019-06-27 04:10:05,268 TEST : loss 0.8691446185112 - score 0.986 -2019-06-27 04:10:05,268 BAD EPOCHS (no improvement): 0 -2019-06-27 04:10:05,281 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:10:05,447 epoch 99 - iter 0/2650 - loss 0.37314528 -2019-06-27 04:10:46,072 epoch 99 - iter 265/2650 - loss 0.73531210 -2019-06-27 04:11:26,474 epoch 99 - iter 530/2650 - loss 0.77472873 -2019-06-27 04:12:01,571 epoch 99 - iter 795/2650 - loss 0.77574973 -2019-06-27 04:12:36,922 epoch 99 - iter 1060/2650 - loss 0.78304324 -2019-06-27 04:13:11,322 epoch 99 - iter 1325/2650 - loss 0.78508095 -2019-06-27 04:13:46,115 epoch 99 - iter 1590/2650 - loss 0.78276259 -2019-06-27 04:14:21,541 epoch 99 - iter 1855/2650 - loss 0.78153672 -2019-06-27 04:14:57,257 epoch 99 - iter 2120/2650 - loss 0.78262437 -2019-06-27 04:15:32,178 epoch 99 - iter 2385/2650 - loss 0.78659380 -2019-06-27 04:16:07,049 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:16:07,049 EPOCH 99 done: loss 0.7894 - lr 0.0125 -2019-06-27 04:18:02,391 TEST : loss 0.8716655373573303 - score 0.9859 -2019-06-27 04:18:02,391 BAD EPOCHS (no improvement): 1 -2019-06-27 04:18:02,404 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:18:02,536 epoch 100 - iter 0/2650 - loss 0.78776360 -2019-06-27 04:18:40,401 epoch 100 - iter 265/2650 - loss 0.76764729 -2019-06-27 04:19:18,889 epoch 100 - iter 530/2650 - loss 0.78968133 -2019-06-27 04:19:59,575 epoch 100 - iter 795/2650 - loss 0.78085001 -2019-06-27 04:20:39,925 epoch 100 - iter 1060/2650 - loss 0.78009762 -2019-06-27 04:21:19,524 epoch 100 - iter 1325/2650 - loss 0.77546922 -2019-06-27 04:21:54,810 epoch 100 - iter 1590/2650 - loss 0.76608077 -2019-06-27 04:22:29,723 epoch 100 - iter 1855/2650 - loss 0.76689898 -2019-06-27 04:23:04,891 epoch 100 - iter 2120/2650 - loss 0.77390366 -2019-06-27 04:23:39,844 epoch 100 - iter 2385/2650 - loss 0.77558837 -2019-06-27 04:24:17,634 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:24:17,635 EPOCH 100 done: loss 0.7789 - lr 0.0125 -2019-06-27 04:26:19,017 TEST : loss 0.8742871880531311 - score 0.9862 -2019-06-27 04:26:19,018 BAD EPOCHS (no improvement): 2 -2019-06-27 04:26:19,019 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:26:19,185 epoch 101 - iter 0/2650 - loss 0.33038604 -2019-06-27 04:26:59,773 epoch 101 - iter 265/2650 - loss 0.76494199 -2019-06-27 04:27:40,969 epoch 101 - iter 530/2650 - loss 0.77646888 -2019-06-27 04:28:22,406 epoch 101 - iter 795/2650 - loss 0.77663101 -2019-06-27 04:29:00,991 epoch 101 - iter 1060/2650 - loss 0.77042047 -2019-06-27 04:29:35,552 epoch 101 - iter 1325/2650 - loss 0.76031066 -2019-06-27 04:30:10,740 epoch 101 - iter 1590/2650 - loss 0.76413931 -2019-06-27 04:30:48,941 epoch 101 - iter 1855/2650 - loss 0.76791404 -2019-06-27 04:31:30,004 epoch 101 - iter 2120/2650 - loss 0.77482960 -2019-06-27 04:32:05,142 epoch 101 - iter 2385/2650 - loss 0.77042602 -2019-06-27 04:32:43,193 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:32:43,194 EPOCH 101 done: loss 0.7732 - lr 0.0125 -2019-06-27 04:34:37,832 TEST : loss 0.8769155740737915 - score 0.9859 -2019-06-27 04:34:37,833 BAD EPOCHS (no improvement): 0 -2019-06-27 04:34:37,843 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:34:37,978 epoch 102 - iter 0/2650 - loss 0.66756505 -2019-06-27 04:35:18,143 epoch 102 - iter 265/2650 - loss 0.77508701 -2019-06-27 04:35:58,751 epoch 102 - iter 530/2650 - loss 0.79341776 -2019-06-27 04:36:40,405 epoch 102 - iter 795/2650 - loss 0.78983241 -2019-06-27 04:37:18,867 epoch 102 - iter 1060/2650 - loss 0.77740845 -2019-06-27 04:38:00,519 epoch 102 - iter 1325/2650 - loss 0.78160425 -2019-06-27 04:38:41,165 epoch 102 - iter 1590/2650 - loss 0.78431149 -2019-06-27 04:39:21,905 epoch 102 - iter 1855/2650 - loss 0.78515881 -2019-06-27 04:40:01,733 epoch 102 - iter 2120/2650 - loss 0.78075252 -2019-06-27 04:40:37,599 epoch 102 - iter 2385/2650 - loss 0.77832599 -2019-06-27 04:41:12,669 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:41:12,670 EPOCH 102 done: loss 0.7744 - lr 0.0125 -2019-06-27 04:43:07,693 TEST : loss 0.8772578835487366 - score 0.986 -2019-06-27 04:43:07,693 BAD EPOCHS (no improvement): 1 -2019-06-27 04:43:07,741 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:43:07,964 epoch 103 - iter 0/2650 - loss 0.67846465 -2019-06-27 04:43:49,008 epoch 103 - iter 265/2650 - loss 0.76673132 -2019-06-27 04:44:24,660 epoch 103 - iter 530/2650 - loss 0.75759449 -2019-06-27 04:45:02,684 epoch 103 - iter 795/2650 - loss 0.76026513 -2019-06-27 04:45:42,843 epoch 103 - iter 1060/2650 - loss 0.74945310 -2019-06-27 04:46:23,439 epoch 103 - iter 1325/2650 - loss 0.75236630 -2019-06-27 04:47:04,039 epoch 103 - iter 1590/2650 - loss 0.75370268 -2019-06-27 04:47:45,140 epoch 103 - iter 1855/2650 - loss 0.75612387 -2019-06-27 04:48:19,858 epoch 103 - iter 2120/2650 - loss 0.75725527 -2019-06-27 04:48:54,250 epoch 103 - iter 2385/2650 - loss 0.75949362 -2019-06-27 04:49:33,258 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:49:33,259 EPOCH 103 done: loss 0.7597 - lr 0.0125 -2019-06-27 04:51:52,989 TEST : loss 0.8754911422729492 - score 0.986 -2019-06-27 04:51:52,990 BAD EPOCHS (no improvement): 0 -2019-06-27 04:51:52,995 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:51:53,153 epoch 104 - iter 0/2650 - loss 0.58056295 -2019-06-27 04:52:34,977 epoch 104 - iter 265/2650 - loss 0.78844734 -2019-06-27 04:53:15,777 epoch 104 - iter 530/2650 - loss 0.77438459 -2019-06-27 04:53:56,538 epoch 104 - iter 795/2650 - loss 0.76613323 -2019-06-27 04:54:37,734 epoch 104 - iter 1060/2650 - loss 0.77357367 -2019-06-27 04:55:18,203 epoch 104 - iter 1325/2650 - loss 0.76466191 -2019-06-27 04:55:53,071 epoch 104 - iter 1590/2650 - loss 0.76722747 -2019-06-27 04:56:27,798 epoch 104 - iter 1855/2650 - loss 0.76850984 -2019-06-27 04:57:03,371 epoch 104 - iter 2120/2650 - loss 0.76656512 -2019-06-27 04:57:38,024 epoch 104 - iter 2385/2650 - loss 0.76429577 -2019-06-27 04:58:12,113 ---------------------------------------------------------------------------------------------------- -2019-06-27 04:58:12,114 EPOCH 104 done: loss 0.7657 - lr 0.0125 -2019-06-27 05:00:07,021 TEST : loss 0.8714533448219299 - score 0.9862 -2019-06-27 05:00:07,021 BAD EPOCHS (no improvement): 1 -2019-06-27 05:00:07,022 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:00:07,181 epoch 105 - iter 0/2650 - loss 0.35379663 -2019-06-27 05:00:47,774 epoch 105 - iter 265/2650 - loss 0.80174776 -2019-06-27 05:01:28,660 epoch 105 - iter 530/2650 - loss 0.76233705 -2019-06-27 05:02:10,278 epoch 105 - iter 795/2650 - loss 0.75980578 -2019-06-27 05:02:45,275 epoch 105 - iter 1060/2650 - loss 0.75975233 -2019-06-27 05:03:20,422 epoch 105 - iter 1325/2650 - loss 0.76128476 -2019-06-27 05:03:54,884 epoch 105 - iter 1590/2650 - loss 0.76671739 -2019-06-27 05:04:29,599 epoch 105 - iter 1855/2650 - loss 0.76965075 -2019-06-27 05:05:05,202 epoch 105 - iter 2120/2650 - loss 0.77035039 -2019-06-27 05:05:40,344 epoch 105 - iter 2385/2650 - loss 0.77293562 -2019-06-27 05:06:14,915 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:06:14,915 EPOCH 105 done: loss 0.7752 - lr 0.0125 -2019-06-27 05:08:09,801 TEST : loss 0.8732997179031372 - score 0.986 -2019-06-27 05:08:09,801 BAD EPOCHS (no improvement): 2 -2019-06-27 05:08:09,802 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:08:10,012 epoch 106 - iter 0/2650 - loss 0.57845044 -2019-06-27 05:08:47,257 epoch 106 - iter 265/2650 - loss 0.75626452 -2019-06-27 05:09:22,961 epoch 106 - iter 530/2650 - loss 0.77562320 -2019-06-27 05:09:57,678 epoch 106 - iter 795/2650 - loss 0.78140219 -2019-06-27 05:10:32,820 epoch 106 - iter 1060/2650 - loss 0.77499010 -2019-06-27 05:11:07,422 epoch 106 - iter 1325/2650 - loss 0.77293007 -2019-06-27 05:11:42,597 epoch 106 - iter 1590/2650 - loss 0.77089111 -2019-06-27 05:12:17,333 epoch 106 - iter 1855/2650 - loss 0.77352566 -2019-06-27 05:12:52,249 epoch 106 - iter 2120/2650 - loss 0.77294478 -2019-06-27 05:13:26,811 epoch 106 - iter 2385/2650 - loss 0.77046156 -2019-06-27 05:14:02,587 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:14:02,587 EPOCH 106 done: loss 0.7704 - lr 0.0125 -2019-06-27 05:15:57,318 TEST : loss 0.8731410503387451 - score 0.986 -2019-06-27 05:15:57,318 BAD EPOCHS (no improvement): 3 -2019-06-27 05:15:57,319 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:15:57,523 epoch 107 - iter 0/2650 - loss 0.85880601 -2019-06-27 05:16:37,085 epoch 107 - iter 265/2650 - loss 0.79212521 -2019-06-27 05:17:12,161 epoch 107 - iter 530/2650 - loss 0.76331612 -2019-06-27 05:17:47,526 epoch 107 - iter 795/2650 - loss 0.76025241 -2019-06-27 05:18:26,703 epoch 107 - iter 1060/2650 - loss 0.75832192 -2019-06-27 05:19:07,823 epoch 107 - iter 1325/2650 - loss 0.75663258 -2019-06-27 05:19:48,459 epoch 107 - iter 1590/2650 - loss 0.76076857 -2019-06-27 05:20:29,010 epoch 107 - iter 1855/2650 - loss 0.76194876 -2019-06-27 05:21:10,211 epoch 107 - iter 2120/2650 - loss 0.76358902 -2019-06-27 05:21:49,973 epoch 107 - iter 2385/2650 - loss 0.76489250 -2019-06-27 05:22:30,775 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:22:30,776 EPOCH 107 done: loss 0.7656 - lr 0.0125 -2019-06-27 05:24:43,258 TEST : loss 0.8733732104301453 - score 0.9861 -2019-06-27 05:24:43,259 BAD EPOCHS (no improvement): 4 -2019-06-27 05:24:43,274 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:24:43,478 epoch 108 - iter 0/2650 - loss 1.47843981 -2019-06-27 05:25:24,167 epoch 108 - iter 265/2650 - loss 0.73016306 -2019-06-27 05:26:04,607 epoch 108 - iter 530/2650 - loss 0.75855793 -2019-06-27 05:26:45,026 epoch 108 - iter 795/2650 - loss 0.74243601 -2019-06-27 05:27:25,917 epoch 108 - iter 1060/2650 - loss 0.74071513 -2019-06-27 05:28:05,839 epoch 108 - iter 1325/2650 - loss 0.73103831 -2019-06-27 05:28:46,760 epoch 108 - iter 1590/2650 - loss 0.73969060 -2019-06-27 05:29:24,382 epoch 108 - iter 1855/2650 - loss 0.74325114 -2019-06-27 05:29:59,293 epoch 108 - iter 2120/2650 - loss 0.74220117 -2019-06-27 05:30:40,365 epoch 108 - iter 2385/2650 - loss 0.74503085 -2019-06-27 05:31:20,031 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:31:20,031 EPOCH 108 done: loss 0.7456 - lr 0.0063 -2019-06-27 05:33:14,426 TEST : loss 0.8719821572303772 - score 0.986 -2019-06-27 05:33:14,426 BAD EPOCHS (no improvement): 0 -2019-06-27 05:33:14,427 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:33:14,619 epoch 109 - iter 0/2650 - loss 0.46579307 -2019-06-27 05:33:55,283 epoch 109 - iter 265/2650 - loss 0.74033069 -2019-06-27 05:34:36,059 epoch 109 - iter 530/2650 - loss 0.75445421 -2019-06-27 05:35:11,301 epoch 109 - iter 795/2650 - loss 0.76253982 -2019-06-27 05:35:46,323 epoch 109 - iter 1060/2650 - loss 0.76289716 -2019-06-27 05:36:27,251 epoch 109 - iter 1325/2650 - loss 0.76189190 -2019-06-27 05:37:07,627 epoch 109 - iter 1590/2650 - loss 0.75892839 -2019-06-27 05:37:48,241 epoch 109 - iter 1855/2650 - loss 0.76840508 -2019-06-27 05:38:28,785 epoch 109 - iter 2120/2650 - loss 0.76922087 -2019-06-27 05:39:08,764 epoch 109 - iter 2385/2650 - loss 0.76892291 -2019-06-27 05:39:48,708 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:39:48,709 EPOCH 109 done: loss 0.7679 - lr 0.0063 -2019-06-27 05:41:43,346 TEST : loss 0.8725889921188354 - score 0.9861 -2019-06-27 05:41:43,347 BAD EPOCHS (no improvement): 1 -2019-06-27 05:41:43,348 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:41:43,746 epoch 110 - iter 0/2650 - loss 1.54765844 -2019-06-27 05:42:24,714 epoch 110 - iter 265/2650 - loss 0.76518828 -2019-06-27 05:43:05,973 epoch 110 - iter 530/2650 - loss 0.75895516 -2019-06-27 05:43:46,005 epoch 110 - iter 795/2650 - loss 0.76273865 -2019-06-27 05:44:21,679 epoch 110 - iter 1060/2650 - loss 0.75673986 -2019-06-27 05:44:56,553 epoch 110 - iter 1325/2650 - loss 0.76519157 -2019-06-27 05:45:33,237 epoch 110 - iter 1590/2650 - loss 0.77331506 -2019-06-27 05:46:12,949 epoch 110 - iter 1855/2650 - loss 0.76873385 -2019-06-27 05:46:54,415 epoch 110 - iter 2120/2650 - loss 0.76420048 -2019-06-27 05:47:34,700 epoch 110 - iter 2385/2650 - loss 0.76037084 -2019-06-27 05:48:15,371 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:48:15,371 EPOCH 110 done: loss 0.7622 - lr 0.0063 -2019-06-27 05:50:10,303 TEST : loss 0.874808669090271 - score 0.9861 -2019-06-27 05:50:10,304 BAD EPOCHS (no improvement): 2 -2019-06-27 05:50:10,305 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:50:10,510 epoch 111 - iter 0/2650 - loss 0.81766367 -2019-06-27 05:50:51,220 epoch 111 - iter 265/2650 - loss 0.74427491 -2019-06-27 05:51:31,758 epoch 111 - iter 530/2650 - loss 0.75766907 -2019-06-27 05:52:12,080 epoch 111 - iter 795/2650 - loss 0.73930134 -2019-06-27 05:52:50,898 epoch 111 - iter 1060/2650 - loss 0.73327130 -2019-06-27 05:53:31,695 epoch 111 - iter 1325/2650 - loss 0.74420387 -2019-06-27 05:54:12,338 epoch 111 - iter 1590/2650 - loss 0.74914155 -2019-06-27 05:54:52,465 epoch 111 - iter 1855/2650 - loss 0.74648540 -2019-06-27 05:55:33,429 epoch 111 - iter 2120/2650 - loss 0.74753781 -2019-06-27 05:56:14,287 epoch 111 - iter 2385/2650 - loss 0.74794399 -2019-06-27 05:56:55,650 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:56:55,650 EPOCH 111 done: loss 0.7490 - lr 0.0063 -2019-06-27 05:59:14,844 TEST : loss 0.8728870749473572 - score 0.986 -2019-06-27 05:59:14,844 BAD EPOCHS (no improvement): 3 -2019-06-27 05:59:14,845 ---------------------------------------------------------------------------------------------------- -2019-06-27 05:59:15,032 epoch 112 - iter 0/2650 - loss 1.12700903 -2019-06-27 05:59:55,188 epoch 112 - iter 265/2650 - loss 0.79636170 -2019-06-27 06:00:33,620 epoch 112 - iter 530/2650 - loss 0.76079712 -2019-06-27 06:01:13,855 epoch 112 - iter 795/2650 - loss 0.75777449 -2019-06-27 06:01:53,930 epoch 112 - iter 1060/2650 - loss 0.76330304 -2019-06-27 06:02:34,311 epoch 112 - iter 1325/2650 - loss 0.76276106 -2019-06-27 06:03:14,998 epoch 112 - iter 1590/2650 - loss 0.76096663 -2019-06-27 06:03:54,962 epoch 112 - iter 1855/2650 - loss 0.75517697 -2019-06-27 06:04:35,953 epoch 112 - iter 2120/2650 - loss 0.75568308 -2019-06-27 06:05:11,597 epoch 112 - iter 2385/2650 - loss 0.75356391 -2019-06-27 06:05:46,903 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:05:46,903 EPOCH 112 done: loss 0.7540 - lr 0.0063 -2019-06-27 06:07:41,716 TEST : loss 0.8721423149108887 - score 0.9861 -2019-06-27 06:07:41,717 BAD EPOCHS (no improvement): 4 -2019-06-27 06:07:41,731 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:07:41,874 epoch 113 - iter 0/2650 - loss 1.20137143 -2019-06-27 06:08:21,550 epoch 113 - iter 265/2650 - loss 0.73221324 -2019-06-27 06:09:03,064 epoch 113 - iter 530/2650 - loss 0.71820756 -2019-06-27 06:09:37,887 epoch 113 - iter 795/2650 - loss 0.72694570 -2019-06-27 06:10:14,034 epoch 113 - iter 1060/2650 - loss 0.73122863 -2019-06-27 06:10:49,291 epoch 113 - iter 1325/2650 - loss 0.73546896 -2019-06-27 06:11:25,490 epoch 113 - iter 1590/2650 - loss 0.74016609 -2019-06-27 06:12:00,059 epoch 113 - iter 1855/2650 - loss 0.73618678 -2019-06-27 06:12:35,028 epoch 113 - iter 2120/2650 - loss 0.73423547 -2019-06-27 06:13:10,094 epoch 113 - iter 2385/2650 - loss 0.73484602 -2019-06-27 06:13:45,350 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:13:45,351 EPOCH 113 done: loss 0.7366 - lr 0.0031 -2019-06-27 06:15:40,500 TEST : loss 0.8710729479789734 - score 0.9861 -2019-06-27 06:15:40,500 BAD EPOCHS (no improvement): 0 -2019-06-27 06:15:40,501 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:15:40,666 epoch 114 - iter 0/2650 - loss 2.00402546 -2019-06-27 06:16:20,651 epoch 114 - iter 265/2650 - loss 0.71945309 -2019-06-27 06:17:01,293 epoch 114 - iter 530/2650 - loss 0.73606806 -2019-06-27 06:17:41,888 epoch 114 - iter 795/2650 - loss 0.74085622 -2019-06-27 06:18:21,793 epoch 114 - iter 1060/2650 - loss 0.75038648 -2019-06-27 06:19:03,580 epoch 114 - iter 1325/2650 - loss 0.75467663 -2019-06-27 06:19:43,972 epoch 114 - iter 1590/2650 - loss 0.75493649 -2019-06-27 06:20:25,084 epoch 114 - iter 1855/2650 - loss 0.75793583 -2019-06-27 06:21:05,923 epoch 114 - iter 2120/2650 - loss 0.76258083 -2019-06-27 06:21:42,974 epoch 114 - iter 2385/2650 - loss 0.76255622 -2019-06-27 06:22:22,708 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:22:22,708 EPOCH 114 done: loss 0.7613 - lr 0.0031 -2019-06-27 06:24:11,065 TEST : loss 0.8746064305305481 - score 0.986 -2019-06-27 06:24:11,065 BAD EPOCHS (no improvement): 1 -2019-06-27 06:24:11,066 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:24:11,209 epoch 115 - iter 0/2650 - loss 0.97180748 -2019-06-27 06:24:47,079 epoch 115 - iter 265/2650 - loss 0.75659442 -2019-06-27 06:25:22,074 epoch 115 - iter 530/2650 - loss 0.74190085 -2019-06-27 06:25:57,122 epoch 115 - iter 795/2650 - loss 0.73981691 -2019-06-27 06:26:31,605 epoch 115 - iter 1060/2650 - loss 0.74014387 -2019-06-27 06:27:06,734 epoch 115 - iter 1325/2650 - loss 0.74119797 -2019-06-27 06:27:44,509 epoch 115 - iter 1590/2650 - loss 0.74454971 -2019-06-27 06:28:20,321 epoch 115 - iter 1855/2650 - loss 0.74762547 -2019-06-27 06:28:55,785 epoch 115 - iter 2120/2650 - loss 0.75771363 -2019-06-27 06:29:30,335 epoch 115 - iter 2385/2650 - loss 0.75812824 -2019-06-27 06:30:05,241 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:30:05,241 EPOCH 115 done: loss 0.7591 - lr 0.0031 -2019-06-27 06:31:59,597 TEST : loss 0.8729156255722046 - score 0.9859 -2019-06-27 06:31:59,597 BAD EPOCHS (no improvement): 2 -2019-06-27 06:31:59,598 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:31:59,758 epoch 116 - iter 0/2650 - loss 1.73162162 -2019-06-27 06:32:41,107 epoch 116 - iter 265/2650 - loss 0.73001142 -2019-06-27 06:33:21,612 epoch 116 - iter 530/2650 - loss 0.76470105 -2019-06-27 06:34:02,883 epoch 116 - iter 795/2650 - loss 0.75301982 -2019-06-27 06:34:43,926 epoch 116 - iter 1060/2650 - loss 0.75518475 -2019-06-27 06:35:24,424 epoch 116 - iter 1325/2650 - loss 0.74394356 -2019-06-27 06:36:05,388 epoch 116 - iter 1590/2650 - loss 0.74815382 -2019-06-27 06:36:45,315 epoch 116 - iter 1855/2650 - loss 0.75206788 -2019-06-27 06:37:24,645 epoch 116 - iter 2120/2650 - loss 0.74975985 -2019-06-27 06:38:05,295 epoch 116 - iter 2385/2650 - loss 0.74649770 -2019-06-27 06:38:40,050 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:38:40,050 EPOCH 116 done: loss 0.7491 - lr 0.0031 -2019-06-27 06:40:34,559 TEST : loss 0.8742703199386597 - score 0.986 -2019-06-27 06:40:34,560 BAD EPOCHS (no improvement): 3 -2019-06-27 06:40:34,571 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:40:34,803 epoch 117 - iter 0/2650 - loss 0.51681066 -2019-06-27 06:41:16,619 epoch 117 - iter 265/2650 - loss 0.71215938 -2019-06-27 06:41:57,231 epoch 117 - iter 530/2650 - loss 0.73061982 -2019-06-27 06:42:38,247 epoch 117 - iter 795/2650 - loss 0.73254911 -2019-06-27 06:43:18,378 epoch 117 - iter 1060/2650 - loss 0.73812272 -2019-06-27 06:43:58,191 epoch 117 - iter 1325/2650 - loss 0.73944597 -2019-06-27 06:44:38,093 epoch 117 - iter 1590/2650 - loss 0.74720259 -2019-06-27 06:45:18,601 epoch 117 - iter 1855/2650 - loss 0.74786097 -2019-06-27 06:45:54,409 epoch 117 - iter 2120/2650 - loss 0.74739046 -2019-06-27 06:46:34,407 epoch 117 - iter 2385/2650 - loss 0.74406474 -2019-06-27 06:47:15,584 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:47:15,584 EPOCH 117 done: loss 0.7422 - lr 0.0031 -2019-06-27 06:49:10,198 TEST : loss 0.8741567730903625 - score 0.986 -2019-06-27 06:49:10,198 BAD EPOCHS (no improvement): 4 -2019-06-27 06:49:10,199 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:49:10,466 epoch 118 - iter 0/2650 - loss 0.91377056 -2019-06-27 06:49:51,963 epoch 118 - iter 265/2650 - loss 0.80535628 -2019-06-27 06:50:32,967 epoch 118 - iter 530/2650 - loss 0.76461144 -2019-06-27 06:51:13,425 epoch 118 - iter 795/2650 - loss 0.76352301 -2019-06-27 06:51:53,710 epoch 118 - iter 1060/2650 - loss 0.76021206 -2019-06-27 06:52:34,548 epoch 118 - iter 1325/2650 - loss 0.76424706 -2019-06-27 06:53:15,697 epoch 118 - iter 1590/2650 - loss 0.76003359 -2019-06-27 06:53:54,192 epoch 118 - iter 1855/2650 - loss 0.75009718 -2019-06-27 06:54:29,650 epoch 118 - iter 2120/2650 - loss 0.74547575 -2019-06-27 06:55:04,036 epoch 118 - iter 2385/2650 - loss 0.74739096 -2019-06-27 06:55:38,776 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:55:38,776 EPOCH 118 done: loss 0.7466 - lr 0.0016 -2019-06-27 06:57:33,529 TEST : loss 0.8745524883270264 - score 0.986 -2019-06-27 06:57:33,530 BAD EPOCHS (no improvement): 1 -2019-06-27 06:57:33,531 ---------------------------------------------------------------------------------------------------- -2019-06-27 06:57:33,658 epoch 119 - iter 0/2650 - loss 1.45131016 -2019-06-27 06:58:09,130 epoch 119 - iter 265/2650 - loss 0.73534476 -2019-06-27 06:58:43,574 epoch 119 - iter 530/2650 - loss 0.73637683 -2019-06-27 06:59:18,826 epoch 119 - iter 795/2650 - loss 0.73018736 -2019-06-27 06:59:53,593 epoch 119 - iter 1060/2650 - loss 0.73259941 -2019-06-27 07:00:29,376 epoch 119 - iter 1325/2650 - loss 0.73465850 -2019-06-27 07:01:04,039 epoch 119 - iter 1590/2650 - loss 0.73222277 -2019-06-27 07:01:39,764 epoch 119 - iter 1855/2650 - loss 0.72957091 -2019-06-27 07:02:20,609 epoch 119 - iter 2120/2650 - loss 0.73197818 -2019-06-27 07:03:00,509 epoch 119 - iter 2385/2650 - loss 0.73206956 -2019-06-27 07:03:35,851 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:03:35,852 EPOCH 119 done: loss 0.7297 - lr 0.0016 -2019-06-27 07:05:30,569 TEST : loss 0.8748660683631897 - score 0.9861 -2019-06-27 07:05:30,569 BAD EPOCHS (no improvement): 0 -2019-06-27 07:05:30,570 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:05:30,709 epoch 120 - iter 0/2650 - loss 1.37087059 -2019-06-27 07:06:10,984 epoch 120 - iter 265/2650 - loss 0.73870410 -2019-06-27 07:06:52,045 epoch 120 - iter 530/2650 - loss 0.74360196 -2019-06-27 07:07:32,637 epoch 120 - iter 795/2650 - loss 0.75533027 -2019-06-27 07:08:11,532 epoch 120 - iter 1060/2650 - loss 0.75495396 -2019-06-27 07:08:46,716 epoch 120 - iter 1325/2650 - loss 0.74299957 -2019-06-27 07:09:22,482 epoch 120 - iter 1590/2650 - loss 0.74734750 -2019-06-27 07:09:57,281 epoch 120 - iter 1855/2650 - loss 0.74890100 -2019-06-27 07:10:31,994 epoch 120 - iter 2120/2650 - loss 0.74961592 -2019-06-27 07:11:12,702 epoch 120 - iter 2385/2650 - loss 0.75400061 -2019-06-27 07:11:49,987 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:11:49,987 EPOCH 120 done: loss 0.7488 - lr 0.0016 -2019-06-27 07:13:44,883 TEST : loss 0.8736621141433716 - score 0.986 -2019-06-27 07:13:44,883 BAD EPOCHS (no improvement): 1 -2019-06-27 07:13:44,884 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:13:45,038 epoch 121 - iter 0/2650 - loss 0.91968226 -2019-06-27 07:14:25,665 epoch 121 - iter 265/2650 - loss 0.77374562 -2019-06-27 07:15:06,757 epoch 121 - iter 530/2650 - loss 0.77541227 -2019-06-27 07:15:46,714 epoch 121 - iter 795/2650 - loss 0.77949859 -2019-06-27 07:16:26,816 epoch 121 - iter 1060/2650 - loss 0.77373501 -2019-06-27 07:17:07,388 epoch 121 - iter 1325/2650 - loss 0.77195185 -2019-06-27 07:17:47,528 epoch 121 - iter 1590/2650 - loss 0.75959785 -2019-06-27 07:18:24,379 epoch 121 - iter 1855/2650 - loss 0.75571318 -2019-06-27 07:19:03,877 epoch 121 - iter 2120/2650 - loss 0.75050027 -2019-06-27 07:19:44,784 epoch 121 - iter 2385/2650 - loss 0.75259691 -2019-06-27 07:20:24,922 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:20:24,923 EPOCH 121 done: loss 0.7521 - lr 0.0016 -2019-06-27 07:22:37,572 TEST : loss 0.8738390803337097 - score 0.986 -2019-06-27 07:22:37,572 BAD EPOCHS (no improvement): 2 -2019-06-27 07:22:37,573 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:22:37,796 epoch 122 - iter 0/2650 - loss 1.33918333 -2019-06-27 07:23:18,645 epoch 122 - iter 265/2650 - loss 0.74779343 -2019-06-27 07:23:55,963 epoch 122 - iter 530/2650 - loss 0.73406400 -2019-06-27 07:24:31,655 epoch 122 - iter 795/2650 - loss 0.74095562 -2019-06-27 07:25:08,552 epoch 122 - iter 1060/2650 - loss 0.74399198 -2019-06-27 07:25:45,403 epoch 122 - iter 1325/2650 - loss 0.74224027 -2019-06-27 07:26:22,787 epoch 122 - iter 1590/2650 - loss 0.74321642 -2019-06-27 07:27:02,191 epoch 122 - iter 1855/2650 - loss 0.74526119 -2019-06-27 07:27:41,268 epoch 122 - iter 2120/2650 - loss 0.74508647 -2019-06-27 07:28:17,005 epoch 122 - iter 2385/2650 - loss 0.74758540 -2019-06-27 07:28:55,567 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:28:55,568 EPOCH 122 done: loss 0.7468 - lr 0.0016 -2019-06-27 07:31:14,447 TEST : loss 0.8738065958023071 - score 0.9861 -2019-06-27 07:31:14,448 BAD EPOCHS (no improvement): 3 -2019-06-27 07:31:14,448 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:31:14,594 epoch 123 - iter 0/2650 - loss 0.62225807 -2019-06-27 07:31:56,361 epoch 123 - iter 265/2650 - loss 0.74399066 -2019-06-27 07:32:36,853 epoch 123 - iter 530/2650 - loss 0.73913696 -2019-06-27 07:33:17,886 epoch 123 - iter 795/2650 - loss 0.72146959 -2019-06-27 07:33:58,113 epoch 123 - iter 1060/2650 - loss 0.72479365 -2019-06-27 07:34:34,461 epoch 123 - iter 1325/2650 - loss 0.72472022 -2019-06-27 07:35:08,863 epoch 123 - iter 1590/2650 - loss 0.72301770 -2019-06-27 07:35:43,734 epoch 123 - iter 1855/2650 - loss 0.72912779 -2019-06-27 07:36:18,886 epoch 123 - iter 2120/2650 - loss 0.73130739 -2019-06-27 07:36:59,144 epoch 123 - iter 2385/2650 - loss 0.73624702 -2019-06-27 07:37:39,328 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:37:39,329 EPOCH 123 done: loss 0.7362 - lr 0.0016 -2019-06-27 07:39:58,127 TEST : loss 0.8747486472129822 - score 0.9861 -2019-06-27 07:39:58,127 BAD EPOCHS (no improvement): 4 -2019-06-27 07:39:58,140 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:39:58,299 epoch 124 - iter 0/2650 - loss 0.83921993 -2019-06-27 07:40:38,955 epoch 124 - iter 265/2650 - loss 0.78257374 -2019-06-27 07:41:19,435 epoch 124 - iter 530/2650 - loss 0.75781182 -2019-06-27 07:41:59,420 epoch 124 - iter 795/2650 - loss 0.74603855 -2019-06-27 07:42:39,737 epoch 124 - iter 1060/2650 - loss 0.74552072 -2019-06-27 07:43:19,986 epoch 124 - iter 1325/2650 - loss 0.75188377 -2019-06-27 07:44:00,300 epoch 124 - iter 1590/2650 - loss 0.74688015 -2019-06-27 07:44:41,149 epoch 124 - iter 1855/2650 - loss 0.74518763 -2019-06-27 07:45:21,338 epoch 124 - iter 2120/2650 - loss 0.73978148 -2019-06-27 07:46:02,827 epoch 124 - iter 2385/2650 - loss 0.73946806 -2019-06-27 07:46:43,555 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:46:43,555 EPOCH 124 done: loss 0.7401 - lr 0.0008 -2019-06-27 07:48:40,769 TEST : loss 0.8742570877075195 - score 0.986 -2019-06-27 07:48:40,770 BAD EPOCHS (no improvement): 1 -2019-06-27 07:48:40,786 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:48:40,982 epoch 125 - iter 0/2650 - loss 1.23704553 -2019-06-27 07:49:21,623 epoch 125 - iter 265/2650 - loss 0.76975432 -2019-06-27 07:49:58,499 epoch 125 - iter 530/2650 - loss 0.73771488 -2019-06-27 07:50:36,332 epoch 125 - iter 795/2650 - loss 0.72696333 -2019-06-27 07:51:17,111 epoch 125 - iter 1060/2650 - loss 0.72124087 -2019-06-27 07:51:58,236 epoch 125 - iter 1325/2650 - loss 0.72539358 -2019-06-27 07:52:38,302 epoch 125 - iter 1590/2650 - loss 0.73158800 -2019-06-27 07:53:18,799 epoch 125 - iter 1855/2650 - loss 0.72954860 -2019-06-27 07:53:59,589 epoch 125 - iter 2120/2650 - loss 0.73398308 -2019-06-27 07:54:35,242 epoch 125 - iter 2385/2650 - loss 0.73664089 -2019-06-27 07:55:14,047 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:55:14,048 EPOCH 125 done: loss 0.7348 - lr 0.0008 -2019-06-27 07:57:08,752 TEST : loss 0.8744410872459412 - score 0.986 -2019-06-27 07:57:08,753 BAD EPOCHS (no improvement): 2 -2019-06-27 07:57:08,754 ---------------------------------------------------------------------------------------------------- -2019-06-27 07:57:08,935 epoch 126 - iter 0/2650 - loss 0.95025784 -2019-06-27 07:57:49,758 epoch 126 - iter 265/2650 - loss 0.74966602 -2019-06-27 07:58:30,488 epoch 126 - iter 530/2650 - loss 0.75569870 -2019-06-27 07:59:11,150 epoch 126 - iter 795/2650 - loss 0.75351783 -2019-06-27 07:59:47,299 epoch 126 - iter 1060/2650 - loss 0.75384920 -2019-06-27 08:00:22,324 epoch 126 - iter 1325/2650 - loss 0.75444409 -2019-06-27 08:00:56,963 epoch 126 - iter 1590/2650 - loss 0.74947229 -2019-06-27 08:01:32,707 epoch 126 - iter 1855/2650 - loss 0.75182231 -2019-06-27 08:02:07,636 epoch 126 - iter 2120/2650 - loss 0.74640984 -2019-06-27 08:02:48,126 epoch 126 - iter 2385/2650 - loss 0.74892943 -2019-06-27 08:03:29,020 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:03:29,021 EPOCH 126 done: loss 0.7467 - lr 0.0008 -2019-06-27 08:05:23,902 TEST : loss 0.8747740387916565 - score 0.986 -2019-06-27 08:05:23,902 BAD EPOCHS (no improvement): 3 -2019-06-27 08:05:23,903 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:05:24,044 epoch 127 - iter 0/2650 - loss 0.93323076 -2019-06-27 08:06:04,805 epoch 127 - iter 265/2650 - loss 0.68770268 -2019-06-27 08:06:45,484 epoch 127 - iter 530/2650 - loss 0.71919680 -2019-06-27 08:07:26,551 epoch 127 - iter 795/2650 - loss 0.72050733 -2019-06-27 08:08:04,344 epoch 127 - iter 1060/2650 - loss 0.72057701 -2019-06-27 08:08:39,570 epoch 127 - iter 1325/2650 - loss 0.72490428 -2019-06-27 08:09:19,989 epoch 127 - iter 1590/2650 - loss 0.72607160 -2019-06-27 08:09:57,452 epoch 127 - iter 1855/2650 - loss 0.72571963 -2019-06-27 08:10:37,793 epoch 127 - iter 2120/2650 - loss 0.72240188 -2019-06-27 08:11:13,044 epoch 127 - iter 2385/2650 - loss 0.72620803 -2019-06-27 08:11:48,043 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:11:48,044 EPOCH 127 done: loss 0.7260 - lr 0.0008 -2019-06-27 08:13:42,881 TEST : loss 0.8744993805885315 - score 0.986 -2019-06-27 08:13:42,882 BAD EPOCHS (no improvement): 0 -2019-06-27 08:13:42,883 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:13:43,032 epoch 128 - iter 0/2650 - loss 1.43837118 -2019-06-27 08:14:23,019 epoch 128 - iter 265/2650 - loss 0.71613058 -2019-06-27 08:15:03,606 epoch 128 - iter 530/2650 - loss 0.72452642 -2019-06-27 08:15:43,965 epoch 128 - iter 795/2650 - loss 0.73376231 -2019-06-27 08:16:24,636 epoch 128 - iter 1060/2650 - loss 0.74327913 -2019-06-27 08:17:05,663 epoch 128 - iter 1325/2650 - loss 0.73745476 -2019-06-27 08:17:46,095 epoch 128 - iter 1590/2650 - loss 0.74603707 -2019-06-27 08:18:26,123 epoch 128 - iter 1855/2650 - loss 0.74663852 -2019-06-27 08:19:07,030 epoch 128 - iter 2120/2650 - loss 0.74590819 -2019-06-27 08:19:45,757 epoch 128 - iter 2385/2650 - loss 0.74149849 -2019-06-27 08:20:25,991 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:20:25,992 EPOCH 128 done: loss 0.7422 - lr 0.0008 -2019-06-27 08:22:38,794 TEST : loss 0.8742579221725464 - score 0.9861 -2019-06-27 08:22:38,795 BAD EPOCHS (no improvement): 1 -2019-06-27 08:22:38,813 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:22:39,046 epoch 129 - iter 0/2650 - loss 0.70979875 -2019-06-27 08:23:19,707 epoch 129 - iter 265/2650 - loss 0.75709412 -2019-06-27 08:23:57,522 epoch 129 - iter 530/2650 - loss 0.75814537 -2019-06-27 08:24:32,952 epoch 129 - iter 795/2650 - loss 0.76623349 -2019-06-27 08:25:11,276 epoch 129 - iter 1060/2650 - loss 0.76149360 -2019-06-27 08:25:51,472 epoch 129 - iter 1325/2650 - loss 0.75349003 -2019-06-27 08:26:32,431 epoch 129 - iter 1590/2650 - loss 0.75339469 -2019-06-27 08:27:13,053 epoch 129 - iter 1855/2650 - loss 0.75564968 -2019-06-27 08:27:54,235 epoch 129 - iter 2120/2650 - loss 0.75177003 -2019-06-27 08:28:30,674 epoch 129 - iter 2385/2650 - loss 0.75454260 -2019-06-27 08:29:05,833 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:29:05,834 EPOCH 129 done: loss 0.7532 - lr 0.0008 -2019-06-27 08:31:00,152 TEST : loss 0.8744280338287354 - score 0.9861 -2019-06-27 08:31:00,153 BAD EPOCHS (no improvement): 2 -2019-06-27 08:31:00,154 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:31:00,270 epoch 130 - iter 0/2650 - loss 0.33774269 -2019-06-27 08:31:36,215 epoch 130 - iter 265/2650 - loss 0.77578424 -2019-06-27 08:32:11,421 epoch 130 - iter 530/2650 - loss 0.76460121 -2019-06-27 08:32:45,910 epoch 130 - iter 795/2650 - loss 0.76030227 -2019-06-27 08:33:20,733 epoch 130 - iter 1060/2650 - loss 0.76649645 -2019-06-27 08:33:56,418 epoch 130 - iter 1325/2650 - loss 0.76529998 -2019-06-27 08:34:31,043 epoch 130 - iter 1590/2650 - loss 0.76028500 -2019-06-27 08:35:05,176 epoch 130 - iter 1855/2650 - loss 0.75434647 -2019-06-27 08:35:40,500 epoch 130 - iter 2120/2650 - loss 0.75025419 -2019-06-27 08:36:16,554 epoch 130 - iter 2385/2650 - loss 0.74971035 -2019-06-27 08:36:53,589 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:36:53,590 EPOCH 130 done: loss 0.7489 - lr 0.0008 -2019-06-27 08:38:48,308 TEST : loss 0.8747811913490295 - score 0.986 -2019-06-27 08:38:48,308 BAD EPOCHS (no improvement): 3 -2019-06-27 08:38:48,325 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:38:48,514 epoch 131 - iter 0/2650 - loss 0.35597545 -2019-06-27 08:39:27,840 epoch 131 - iter 265/2650 - loss 0.74551888 -2019-06-27 08:40:02,970 epoch 131 - iter 530/2650 - loss 0.73232429 -2019-06-27 08:40:39,660 epoch 131 - iter 795/2650 - loss 0.72867617 -2019-06-27 08:41:20,360 epoch 131 - iter 1060/2650 - loss 0.73465914 -2019-06-27 08:41:59,550 epoch 131 - iter 1325/2650 - loss 0.74142778 -2019-06-27 08:42:38,845 epoch 131 - iter 1590/2650 - loss 0.73404131 -2019-06-27 08:43:19,873 epoch 131 - iter 1855/2650 - loss 0.73347042 -2019-06-27 08:43:55,888 epoch 131 - iter 2120/2650 - loss 0.73546160 -2019-06-27 08:44:32,164 epoch 131 - iter 2385/2650 - loss 0.74160707 -2019-06-27 08:45:07,965 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:45:07,966 EPOCH 131 done: loss 0.7427 - lr 0.0008 -2019-06-27 08:47:02,677 TEST : loss 0.8745757937431335 - score 0.986 -2019-06-27 08:47:02,678 BAD EPOCHS (no improvement): 4 -2019-06-27 08:47:02,679 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:47:02,810 epoch 132 - iter 0/2650 - loss 0.28313333 -2019-06-27 08:47:43,817 epoch 132 - iter 265/2650 - loss 0.73872034 -2019-06-27 08:48:24,259 epoch 132 - iter 530/2650 - loss 0.72274901 -2019-06-27 08:49:04,584 epoch 132 - iter 795/2650 - loss 0.72918654 -2019-06-27 08:49:40,635 epoch 132 - iter 1060/2650 - loss 0.72649712 -2019-06-27 08:50:16,777 epoch 132 - iter 1325/2650 - loss 0.72447789 -2019-06-27 08:50:52,250 epoch 132 - iter 1590/2650 - loss 0.72249371 -2019-06-27 08:51:32,948 epoch 132 - iter 1855/2650 - loss 0.72628796 -2019-06-27 08:52:13,849 epoch 132 - iter 2120/2650 - loss 0.72652974 -2019-06-27 08:52:55,361 epoch 132 - iter 2385/2650 - loss 0.72702250 -2019-06-27 08:53:35,475 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:53:35,476 EPOCH 132 done: loss 0.7283 - lr 0.0004 -2019-06-27 08:55:32,354 TEST : loss 0.8750640153884888 - score 0.9861 -2019-06-27 08:55:32,354 BAD EPOCHS (no improvement): 1 -2019-06-27 08:55:32,355 ---------------------------------------------------------------------------------------------------- -2019-06-27 08:55:32,506 epoch 133 - iter 0/2650 - loss 0.44725311 -2019-06-27 08:56:14,200 epoch 133 - iter 265/2650 - loss 0.73803539 -2019-06-27 08:56:53,679 epoch 133 - iter 530/2650 - loss 0.74478109 -2019-06-27 08:57:35,170 epoch 133 - iter 795/2650 - loss 0.75007574 -2019-06-27 08:58:15,271 epoch 133 - iter 1060/2650 - loss 0.74944931 -2019-06-27 08:58:55,303 epoch 133 - iter 1325/2650 - loss 0.74394996 -2019-06-27 08:59:36,225 epoch 133 - iter 1590/2650 - loss 0.74596406 -2019-06-27 09:00:16,413 epoch 133 - iter 1855/2650 - loss 0.74343735 -2019-06-27 09:00:57,170 epoch 133 - iter 2120/2650 - loss 0.74450464 -2019-06-27 09:01:38,836 epoch 133 - iter 2385/2650 - loss 0.74505296 -2019-06-27 09:02:14,285 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:02:14,285 EPOCH 133 done: loss 0.7460 - lr 0.0004 -2019-06-27 09:04:08,980 TEST : loss 0.874792218208313 - score 0.986 -2019-06-27 09:04:08,980 BAD EPOCHS (no improvement): 2 -2019-06-27 09:04:08,981 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:04:09,105 epoch 134 - iter 0/2650 - loss 0.99715406 -2019-06-27 09:04:49,455 epoch 134 - iter 265/2650 - loss 0.75794379 -2019-06-27 09:05:29,389 epoch 134 - iter 530/2650 - loss 0.75465360 -2019-06-27 09:06:10,877 epoch 134 - iter 795/2650 - loss 0.75093168 -2019-06-27 09:06:47,616 epoch 134 - iter 1060/2650 - loss 0.74053066 -2019-06-27 09:07:22,995 epoch 134 - iter 1325/2650 - loss 0.73548140 -2019-06-27 09:07:57,467 epoch 134 - iter 1590/2650 - loss 0.73915926 -2019-06-27 09:08:32,288 epoch 134 - iter 1855/2650 - loss 0.74295525 -2019-06-27 09:09:07,899 epoch 134 - iter 2120/2650 - loss 0.73976251 -2019-06-27 09:09:43,153 epoch 134 - iter 2385/2650 - loss 0.74295179 -2019-06-27 09:10:18,161 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:10:18,162 EPOCH 134 done: loss 0.7422 - lr 0.0004 -2019-06-27 09:12:12,806 TEST : loss 0.8739121556282043 - score 0.986 -2019-06-27 09:12:12,807 BAD EPOCHS (no improvement): 3 -2019-06-27 09:12:12,808 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:12:12,950 epoch 135 - iter 0/2650 - loss 0.41671142 -2019-06-27 09:12:53,518 epoch 135 - iter 265/2650 - loss 0.76923473 -2019-06-27 09:13:33,689 epoch 135 - iter 530/2650 - loss 0.75696913 -2019-06-27 09:14:14,294 epoch 135 - iter 795/2650 - loss 0.74492532 -2019-06-27 09:14:50,389 epoch 135 - iter 1060/2650 - loss 0.73847382 -2019-06-27 09:15:25,854 epoch 135 - iter 1325/2650 - loss 0.72945681 -2019-06-27 09:16:05,820 epoch 135 - iter 1590/2650 - loss 0.73214324 -2019-06-27 09:16:46,756 epoch 135 - iter 1855/2650 - loss 0.73113745 -2019-06-27 09:17:24,183 epoch 135 - iter 2120/2650 - loss 0.73330635 -2019-06-27 09:17:58,839 epoch 135 - iter 2385/2650 - loss 0.73430182 -2019-06-27 09:18:33,595 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:18:33,596 EPOCH 135 done: loss 0.7333 - lr 0.0004 -2019-06-27 09:20:21,627 TEST : loss 0.8739151954650879 - score 0.986 -2019-06-27 09:20:21,628 BAD EPOCHS (no improvement): 4 -2019-06-27 09:20:21,629 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:20:21,754 epoch 136 - iter 0/2650 - loss 2.51681948 -2019-06-27 09:21:01,941 epoch 136 - iter 265/2650 - loss 0.72818936 -2019-06-27 09:21:43,058 epoch 136 - iter 530/2650 - loss 0.75725523 -2019-06-27 09:22:18,343 epoch 136 - iter 795/2650 - loss 0.75563164 -2019-06-27 09:22:53,832 epoch 136 - iter 1060/2650 - loss 0.75290369 -2019-06-27 09:23:31,031 epoch 136 - iter 1325/2650 - loss 0.74667028 -2019-06-27 09:24:09,847 epoch 136 - iter 1590/2650 - loss 0.75740946 -2019-06-27 09:24:50,328 epoch 136 - iter 1855/2650 - loss 0.75400342 -2019-06-27 09:25:30,283 epoch 136 - iter 2120/2650 - loss 0.75066229 -2019-06-27 09:26:10,835 epoch 136 - iter 2385/2650 - loss 0.74667332 -2019-06-27 09:26:52,950 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:26:52,951 EPOCH 136 done: loss 0.7446 - lr 0.0002 -2019-06-27 09:28:48,230 TEST : loss 0.8738541007041931 - score 0.986 -2019-06-27 09:28:48,230 BAD EPOCHS (no improvement): 1 -2019-06-27 09:28:48,247 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:28:48,407 epoch 137 - iter 0/2650 - loss 0.93766892 -2019-06-27 09:29:24,159 epoch 137 - iter 265/2650 - loss 0.71924087 -2019-06-27 09:29:59,142 epoch 137 - iter 530/2650 - loss 0.72515243 -2019-06-27 09:30:35,662 epoch 137 - iter 795/2650 - loss 0.72653813 -2019-06-27 09:31:16,926 epoch 137 - iter 1060/2650 - loss 0.73037971 -2019-06-27 09:31:55,165 epoch 137 - iter 1325/2650 - loss 0.73162975 -2019-06-27 09:32:29,596 epoch 137 - iter 1590/2650 - loss 0.73302203 -2019-06-27 09:33:07,801 epoch 137 - iter 1855/2650 - loss 0.73075449 -2019-06-27 09:33:48,111 epoch 137 - iter 2120/2650 - loss 0.73459683 -2019-06-27 09:34:23,001 epoch 137 - iter 2385/2650 - loss 0.74018521 -2019-06-27 09:34:58,267 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:34:58,335 EPOCH 137 done: loss 0.7397 - lr 0.0002 -2019-06-27 09:36:52,940 TEST : loss 0.8738033175468445 - score 0.986 -2019-06-27 09:36:52,940 BAD EPOCHS (no improvement): 2 -2019-06-27 09:36:52,941 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:36:53,062 epoch 138 - iter 0/2650 - loss 1.19855559 -2019-06-27 09:37:29,015 epoch 138 - iter 265/2650 - loss 0.70605940 -2019-06-27 09:38:04,230 epoch 138 - iter 530/2650 - loss 0.69968840 -2019-06-27 09:38:39,149 epoch 138 - iter 795/2650 - loss 0.71798083 -2019-06-27 09:39:14,397 epoch 138 - iter 1060/2650 - loss 0.72106615 -2019-06-27 09:39:49,294 epoch 138 - iter 1325/2650 - loss 0.71467160 -2019-06-27 09:40:27,897 epoch 138 - iter 1590/2650 - loss 0.71555388 -2019-06-27 09:41:08,328 epoch 138 - iter 1855/2650 - loss 0.71750387 -2019-06-27 09:41:49,252 epoch 138 - iter 2120/2650 - loss 0.71755989 -2019-06-27 09:42:29,600 epoch 138 - iter 2385/2650 - loss 0.72236349 -2019-06-27 09:43:09,531 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:43:09,532 EPOCH 138 done: loss 0.7221 - lr 0.0002 -2019-06-27 09:45:28,462 TEST : loss 0.8742627501487732 - score 0.986 -2019-06-27 09:45:28,462 BAD EPOCHS (no improvement): 0 -2019-06-27 09:45:28,463 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:45:28,667 epoch 139 - iter 0/2650 - loss 0.98745668 -2019-06-27 09:46:09,339 epoch 139 - iter 265/2650 - loss 0.73678153 -2019-06-27 09:46:46,807 epoch 139 - iter 530/2650 - loss 0.72251236 -2019-06-27 09:47:26,043 epoch 139 - iter 795/2650 - loss 0.70691964 -2019-06-27 09:48:05,751 epoch 139 - iter 1060/2650 - loss 0.71651498 -2019-06-27 09:48:45,488 epoch 139 - iter 1325/2650 - loss 0.72091933 -2019-06-27 09:49:25,950 epoch 139 - iter 1590/2650 - loss 0.72438167 -2019-06-27 09:50:04,534 epoch 139 - iter 1855/2650 - loss 0.72328524 -2019-06-27 09:50:44,843 epoch 139 - iter 2120/2650 - loss 0.72425990 -2019-06-27 09:51:20,285 epoch 139 - iter 2385/2650 - loss 0.72763307 -2019-06-27 09:51:55,263 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:51:55,263 EPOCH 139 done: loss 0.7288 - lr 0.0002 -2019-06-27 09:53:49,788 TEST : loss 0.8744918704032898 - score 0.986 -2019-06-27 09:53:49,789 BAD EPOCHS (no improvement): 1 -2019-06-27 09:53:49,790 ---------------------------------------------------------------------------------------------------- -2019-06-27 09:53:49,937 epoch 140 - iter 0/2650 - loss 1.00017762 -2019-06-27 09:54:25,598 epoch 140 - iter 265/2650 - loss 0.76530343 -2019-06-27 09:54:59,707 epoch 140 - iter 530/2650 - loss 0.76694923 -2019-06-27 09:55:34,615 epoch 140 - iter 795/2650 - loss 0.76447066 -2019-06-27 09:56:16,190 epoch 140 - iter 1060/2650 - loss 0.75447146 -2019-06-27 09:56:57,636 epoch 140 - iter 1325/2650 - loss 0.75190167 -2019-06-27 09:57:32,560 epoch 140 - iter 1590/2650 - loss 0.74691994 -2019-06-27 09:58:07,388 epoch 140 - iter 1855/2650 - loss 0.74552823 -2019-06-27 09:58:46,562 epoch 140 - iter 2120/2650 - loss 0.74266139 -2019-06-27 09:59:26,859 epoch 140 - iter 2385/2650 - loss 0.74281166 -2019-06-27 10:00:08,594 ---------------------------------------------------------------------------------------------------- -2019-06-27 10:00:08,594 EPOCH 140 done: loss 0.7391 - lr 0.0002 -2019-06-27 10:02:27,952 TEST : loss 0.8747418522834778 - score 0.986 -2019-06-27 10:02:27,952 BAD EPOCHS (no improvement): 2 -2019-06-27 10:02:27,973 ---------------------------------------------------------------------------------------------------- -2019-06-27 10:02:28,146 epoch 141 - iter 0/2650 - loss 0.48502153 -2019-06-27 10:03:09,207 epoch 141 - iter 265/2650 - loss 0.75638723 -2019-06-27 10:03:50,136 epoch 141 - iter 530/2650 - loss 0.75669903 -2019-06-27 10:04:26,727 epoch 141 - iter 795/2650 - loss 0.75098553 -2019-06-27 10:05:01,144 epoch 141 - iter 1060/2650 - loss 0.75314802 -2019-06-27 10:05:35,831 epoch 141 - iter 1325/2650 - loss 0.74748066 -2019-06-27 10:06:10,281 epoch 141 - iter 1590/2650 - loss 0.74368393 -2019-06-27 10:06:44,111 epoch 141 - iter 1855/2650 - loss 0.73914148 -2019-06-27 10:07:26,371 epoch 141 - iter 2120/2650 - loss 0.74044222 -2019-06-27 10:08:07,003 epoch 141 - iter 2385/2650 - loss 0.74135867 -2019-06-27 10:08:42,076 ---------------------------------------------------------------------------------------------------- -2019-06-27 10:08:42,077 EPOCH 141 done: loss 0.7397 - lr 0.0002 -2019-06-27 10:10:36,807 TEST : loss 0.8742198944091797 - score 0.986 -2019-06-27 10:10:36,808 BAD EPOCHS (no improvement): 3 -2019-06-27 10:10:36,822 ---------------------------------------------------------------------------------------------------- -2019-06-27 10:10:37,009 epoch 142 - iter 0/2650 - loss 0.64052534 -2019-06-27 10:11:16,087 epoch 142 - iter 265/2650 - loss 0.77935023 -2019-06-27 10:11:51,097 epoch 142 - iter 530/2650 - loss 0.75887302 -2019-06-27 10:12:26,782 epoch 142 - iter 795/2650 - loss 0.73688813 -2019-06-27 10:13:05,215 epoch 142 - iter 1060/2650 - loss 0.73262465 -2019-06-27 10:13:40,693 epoch 142 - iter 1325/2650 - loss 0.73774914 -2019-06-27 10:14:15,351 epoch 142 - iter 1590/2650 - loss 0.73667775 -2019-06-27 10:14:50,947 epoch 142 - iter 1855/2650 - loss 0.73635568 -2019-06-27 10:15:25,260 epoch 142 - iter 2120/2650 - loss 0.73368387 -2019-06-27 10:16:01,392 epoch 142 - iter 2385/2650 - loss 0.73124294 -2019-06-27 10:16:41,113 ---------------------------------------------------------------------------------------------------- -2019-06-27 10:16:41,114 EPOCH 142 done: loss 0.7296 - lr 0.0002 -2019-06-27 10:18:53,425 TEST : loss 0.8745017051696777 - score 0.986 -2019-06-27 10:18:53,426 BAD EPOCHS (no improvement): 4 -2019-06-27 10:18:53,432 ---------------------------------------------------------------------------------------------------- -2019-06-27 10:18:53,433 ---------------------------------------------------------------------------------------------------- -2019-06-27 10:18:53,433 learning rate too small - quitting training! -2019-06-27 10:18:53,433 ---------------------------------------------------------------------------------------------------- -2019-06-27 10:19:14,750 ---------------------------------------------------------------------------------------------------- -2019-06-27 10:19:14,751 Testing using best model ... -2019-06-27 10:21:27,076 0.986 0.986 0.986 -2019-06-27 10:21:27,077 -MICRO_AVG: acc 0.9724 - f1-score 0.986 -MACRO_AVG: acc 0.9526 - f1-score 0.9741750000000001 -ADJ tp: 9910 - fp: 415 - fn: 507 - tn: 9910 - precision: 0.9598 - recall: 0.9513 - accuracy: 0.9149 - f1-score: 0.9555 -ADP tp: 18669 - fp: 281 - fn: 260 - tn: 18669 - precision: 0.9852 - recall: 0.9863 - accuracy: 0.9718 - f1-score: 0.9857 -ADV tp: 8709 - fp: 268 - fn: 356 - tn: 8709 - precision: 0.9701 - recall: 0.9607 - accuracy: 0.9331 - f1-score: 0.9654 -AUX tp: 1995 - fp: 2 - fn: 6 - tn: 1995 - precision: 0.9990 - recall: 0.9970 - accuracy: 0.9960 - f1-score: 0.9980 -CCONJ tp: 5072 - fp: 33 - fn: 54 - tn: 5072 - precision: 0.9935 - recall: 0.9895 - accuracy: 0.9831 - f1-score: 0.9915 -DET tp: 14887 - fp: 79 - fn: 64 - tn: 14887 - precision: 0.9947 - recall: 0.9957 - accuracy: 0.9905 - f1-score: 0.9952 -INTJ tp: 1568 - fp: 36 - fn: 41 - tn: 1568 - precision: 0.9776 - recall: 0.9745 - accuracy: 0.9532 - f1-score: 0.9760 -NOUN tp: 29043 - fp: 413 - fn: 530 - tn: 29043 - precision: 0.9860 - recall: 0.9821 - accuracy: 0.9686 - f1-score: 0.9840 -NUM tp: 3011 - fp: 51 - fn: 34 - tn: 3011 - precision: 0.9833 - recall: 0.9888 - accuracy: 0.9725 - f1-score: 0.9860 -PART tp: 3344 - fp: 105 - fn: 13 - tn: 3344 - precision: 0.9696 - recall: 0.9961 - accuracy: 0.9659 - f1-score: 0.9827 -PRON tp: 11912 - fp: 56 - fn: 56 - tn: 11912 - precision: 0.9953 - recall: 0.9953 - accuracy: 0.9907 - f1-score: 0.9953 -PROPN tp: 12926 - fp: 282 - fn: 222 - tn: 12926 - precision: 0.9786 - recall: 0.9831 - accuracy: 0.9625 - f1-score: 0.9808 -PUNCT tp: 20452 - fp: 3 - fn: 0 - tn: 20452 - precision: 0.9999 - recall: 1.0000 - accuracy: 0.9999 - f1-score: 0.9999 -SYM tp: 202 - fp: 0 - fn: 6 - tn: 202 - precision: 1.0000 - recall: 0.9712 - accuracy: 0.9712 - f1-score: 0.9854 -VERB tp: 25376 - fp: 329 - fn: 180 - tn: 25376 - precision: 0.9872 - recall: 0.9930 - accuracy: 0.9803 - f1-score: 0.9901 -X tp: 128 - fp: 17 - fn: 41 - tn: 128 - precision: 0.8828 - recall: 0.7574 - accuracy: 0.6882 - f1-score: 0.8153 -2019-06-27 10:21:27,077 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:16:44,917 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:16:44,917 Corpus: "Corpus: 75187 train + 9603 dev + 9479 test sentences" +2023-04-06 05:16:44,917 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:16:44,917 Parameters: +2023-04-06 05:16:44,917 - learning_rate: "0.100000" +2023-04-06 05:16:44,917 - mini_batch_size: "32" +2023-04-06 05:16:44,917 - patience: "3" +2023-04-06 05:16:44,917 - anneal_factor: "0.5" +2023-04-06 05:16:44,917 - max_epochs: "150" +2023-04-06 05:16:44,917 - shuffle: "True" +2023-04-06 05:16:44,917 - train_with_dev: "True" +2023-04-06 05:16:44,917 - batch_growth_annealing: "False" +2023-04-06 05:16:44,917 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:16:44,917 Model training base path: "resources/taggers/release-upos-0" +2023-04-06 05:16:44,917 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:16:44,917 Device: cuda:3 +2023-04-06 05:16:44,917 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:16:44,917 Embeddings storage mode: cpu +2023-04-06 05:16:44,917 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:17:03,561 epoch 1 - iter 265/2650 - loss 0.50170632 - time (sec): 18.64 - samples/sec: 3251.97 - lr: 0.100000 +2023-04-06 05:17:38,709 epoch 1 - iter 530/2650 - loss 0.29323606 - time (sec): 53.79 - samples/sec: 4032.43 - lr: 0.100000 +2023-04-06 05:18:22,261 epoch 1 - iter 795/2650 - loss 0.24123785 - time (sec): 97.34 - samples/sec: 4036.97 - lr: 0.100000 +2023-04-06 05:18:59,300 epoch 1 - iter 1060/2650 - loss 0.20810311 - time (sec): 134.38 - samples/sec: 4096.78 - lr: 0.100000 +2023-04-06 05:19:21,568 epoch 1 - iter 1325/2650 - loss 0.18622596 - time (sec): 156.65 - samples/sec: 4279.87 - lr: 0.100000 +2023-04-06 05:19:50,614 epoch 1 - iter 1590/2650 - loss 0.17027729 - time (sec): 185.70 - samples/sec: 4364.30 - lr: 0.100000 +2023-04-06 05:20:35,819 epoch 1 - iter 1855/2650 - loss 0.16111996 - time (sec): 230.90 - samples/sec: 4440.08 - lr: 0.100000 +2023-04-06 05:21:11,756 epoch 1 - iter 2120/2650 - loss 0.15631584 - time (sec): 266.84 - samples/sec: 4485.77 - lr: 0.100000 +2023-04-06 05:21:42,635 epoch 1 - iter 2385/2650 - loss 0.15367147 - time (sec): 297.72 - samples/sec: 4388.92 - lr: 0.100000 +2023-04-06 05:22:19,083 epoch 1 - iter 2650/2650 - loss 0.14973361 - time (sec): 334.17 - samples/sec: 4376.17 - lr: 0.100000 +2023-04-06 05:22:19,083 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:22:19,083 EPOCH 1 done: loss 0.1497 - lr 0.100000 +2023-04-06 05:22:19,083 BAD EPOCHS (no improvement): 0 +2023-04-06 05:22:19,119 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:22:36,362 epoch 2 - iter 265/2650 - loss 0.10882262 - time (sec): 17.24 - samples/sec: 8464.84 - lr: 0.100000 +2023-04-06 05:22:54,533 epoch 2 - iter 530/2650 - loss 0.10784413 - time (sec): 35.41 - samples/sec: 8310.34 - lr: 0.100000 +2023-04-06 05:23:12,321 epoch 2 - iter 795/2650 - loss 0.10608341 - time (sec): 53.20 - samples/sec: 8276.54 - lr: 0.100000 +2023-04-06 05:23:29,990 epoch 2 - iter 1060/2650 - loss 0.10484208 - time (sec): 70.87 - samples/sec: 8270.33 - lr: 0.100000 +2023-04-06 05:23:47,820 epoch 2 - iter 1325/2650 - loss 0.10356510 - time (sec): 88.70 - samples/sec: 8271.50 - lr: 0.100000 +2023-04-06 05:24:05,227 epoch 2 - iter 1590/2650 - loss 0.10270563 - time (sec): 106.11 - samples/sec: 8282.10 - lr: 0.100000 +2023-04-06 05:24:23,510 epoch 2 - iter 1855/2650 - loss 0.10225705 - time (sec): 124.39 - samples/sec: 8262.63 - lr: 0.100000 +2023-04-06 05:24:41,170 epoch 2 - iter 2120/2650 - loss 0.10148676 - time (sec): 142.05 - samples/sec: 8248.24 - lr: 0.100000 +2023-04-06 05:24:58,701 epoch 2 - iter 2385/2650 - loss 0.10074839 - time (sec): 159.58 - samples/sec: 8253.14 - lr: 0.100000 +2023-04-06 05:25:16,470 epoch 2 - iter 2650/2650 - loss 0.10013797 - time (sec): 177.35 - samples/sec: 8245.61 - lr: 0.100000 +2023-04-06 05:25:16,470 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:25:16,470 EPOCH 2 done: loss 0.1001 - lr 0.100000 +2023-04-06 05:25:16,470 BAD EPOCHS (no improvement): 0 +2023-04-06 05:25:16,473 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:25:34,483 epoch 3 - iter 265/2650 - loss 0.09016036 - time (sec): 18.01 - samples/sec: 8148.15 - lr: 0.100000 +2023-04-06 05:25:51,887 epoch 3 - iter 530/2650 - loss 0.08931367 - time (sec): 35.41 - samples/sec: 8220.78 - lr: 0.100000 +2023-04-06 05:26:09,968 epoch 3 - iter 795/2650 - loss 0.08839482 - time (sec): 53.50 - samples/sec: 8181.64 - lr: 0.100000 +2023-04-06 05:26:28,005 epoch 3 - iter 1060/2650 - loss 0.08817324 - time (sec): 71.53 - samples/sec: 8160.75 - lr: 0.100000 +2023-04-06 05:26:45,992 epoch 3 - iter 1325/2650 - loss 0.08768491 - time (sec): 89.52 - samples/sec: 8172.07 - lr: 0.100000 +2023-04-06 05:27:03,756 epoch 3 - iter 1590/2650 - loss 0.08765484 - time (sec): 107.28 - samples/sec: 8166.62 - lr: 0.100000 +2023-04-06 05:27:21,483 epoch 3 - iter 1855/2650 - loss 0.08731157 - time (sec): 125.01 - samples/sec: 8194.42 - lr: 0.100000 +2023-04-06 05:27:39,122 epoch 3 - iter 2120/2650 - loss 0.08708944 - time (sec): 142.65 - samples/sec: 8205.36 - lr: 0.100000 +2023-04-06 05:27:56,887 epoch 3 - iter 2385/2650 - loss 0.08697050 - time (sec): 160.41 - samples/sec: 8215.13 - lr: 0.100000 +2023-04-06 05:28:14,143 epoch 3 - iter 2650/2650 - loss 0.08678738 - time (sec): 177.67 - samples/sec: 8230.75 - lr: 0.100000 +2023-04-06 05:28:14,144 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:28:14,144 EPOCH 3 done: loss 0.0868 - lr 0.100000 +2023-04-06 05:28:14,144 BAD EPOCHS (no improvement): 0 +2023-04-06 05:28:14,147 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:28:31,664 epoch 4 - iter 265/2650 - loss 0.08023069 - time (sec): 17.52 - samples/sec: 8314.31 - lr: 0.100000 +2023-04-06 05:28:49,602 epoch 4 - iter 530/2650 - loss 0.08018118 - time (sec): 35.45 - samples/sec: 8256.19 - lr: 0.100000 +2023-04-06 05:29:07,735 epoch 4 - iter 795/2650 - loss 0.08007137 - time (sec): 53.59 - samples/sec: 8185.95 - lr: 0.100000 +2023-04-06 05:29:26,272 epoch 4 - iter 1060/2650 - loss 0.07999830 - time (sec): 72.12 - samples/sec: 8112.67 - lr: 0.100000 +2023-04-06 05:29:44,909 epoch 4 - iter 1325/2650 - loss 0.07971874 - time (sec): 90.76 - samples/sec: 8061.70 - lr: 0.100000 +2023-04-06 05:30:02,961 epoch 4 - iter 1590/2650 - loss 0.08004345 - time (sec): 108.81 - samples/sec: 8076.13 - lr: 0.100000 +2023-04-06 05:30:20,501 epoch 4 - iter 1855/2650 - loss 0.07986212 - time (sec): 126.35 - samples/sec: 8098.54 - lr: 0.100000 +2023-04-06 05:30:38,178 epoch 4 - iter 2120/2650 - loss 0.07983681 - time (sec): 144.03 - samples/sec: 8119.87 - lr: 0.100000 +2023-04-06 05:30:56,122 epoch 4 - iter 2385/2650 - loss 0.07966297 - time (sec): 161.97 - samples/sec: 8125.08 - lr: 0.100000 +2023-04-06 05:31:14,218 epoch 4 - iter 2650/2650 - loss 0.07961284 - time (sec): 180.07 - samples/sec: 8121.04 - lr: 0.100000 +2023-04-06 05:31:14,218 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:31:14,218 EPOCH 4 done: loss 0.0796 - lr 0.100000 +2023-04-06 05:31:14,218 BAD EPOCHS (no improvement): 0 +2023-04-06 05:31:14,222 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:31:32,022 epoch 5 - iter 265/2650 - loss 0.07320589 - time (sec): 17.80 - samples/sec: 8189.93 - lr: 0.100000 +2023-04-06 05:31:49,791 epoch 5 - iter 530/2650 - loss 0.07313238 - time (sec): 35.57 - samples/sec: 8169.53 - lr: 0.100000 +2023-04-06 05:32:07,680 epoch 5 - iter 795/2650 - loss 0.07416056 - time (sec): 53.46 - samples/sec: 8187.44 - lr: 0.100000 +2023-04-06 05:32:25,911 epoch 5 - iter 1060/2650 - loss 0.07474003 - time (sec): 71.69 - samples/sec: 8170.41 - lr: 0.100000 +2023-04-06 05:32:44,176 epoch 5 - iter 1325/2650 - loss 0.07431123 - time (sec): 89.95 - samples/sec: 8129.09 - lr: 0.100000 +2023-04-06 05:33:02,842 epoch 5 - iter 1590/2650 - loss 0.07488219 - time (sec): 108.62 - samples/sec: 8088.57 - lr: 0.100000 +2023-04-06 05:33:20,820 epoch 5 - iter 1855/2650 - loss 0.07484782 - time (sec): 126.60 - samples/sec: 8098.93 - lr: 0.100000 +2023-04-06 05:33:38,585 epoch 5 - iter 2120/2650 - loss 0.07470293 - time (sec): 144.36 - samples/sec: 8110.86 - lr: 0.100000 +2023-04-06 05:33:56,556 epoch 5 - iter 2385/2650 - loss 0.07459230 - time (sec): 162.33 - samples/sec: 8117.33 - lr: 0.100000 +2023-04-06 05:34:14,335 epoch 5 - iter 2650/2650 - loss 0.07486368 - time (sec): 180.11 - samples/sec: 8119.12 - lr: 0.100000 +2023-04-06 05:34:14,335 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:34:14,335 EPOCH 5 done: loss 0.0749 - lr 0.100000 +2023-04-06 05:34:14,336 BAD EPOCHS (no improvement): 0 +2023-04-06 05:34:14,339 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:34:32,296 epoch 6 - iter 265/2650 - loss 0.07120396 - time (sec): 17.96 - samples/sec: 8067.83 - lr: 0.100000 +2023-04-06 05:34:50,342 epoch 6 - iter 530/2650 - loss 0.07103244 - time (sec): 36.00 - samples/sec: 8061.98 - lr: 0.100000 +2023-04-06 05:35:08,134 epoch 6 - iter 795/2650 - loss 0.07078885 - time (sec): 53.80 - samples/sec: 8148.79 - lr: 0.100000 +2023-04-06 05:35:25,878 epoch 6 - iter 1060/2650 - loss 0.07095384 - time (sec): 71.54 - samples/sec: 8144.93 - lr: 0.100000 +2023-04-06 05:35:44,025 epoch 6 - iter 1325/2650 - loss 0.07111825 - time (sec): 89.69 - samples/sec: 8133.18 - lr: 0.100000 +2023-04-06 05:36:02,214 epoch 6 - iter 1590/2650 - loss 0.07119643 - time (sec): 107.87 - samples/sec: 8133.01 - lr: 0.100000 +2023-04-06 05:36:19,979 epoch 6 - iter 1855/2650 - loss 0.07142705 - time (sec): 125.64 - samples/sec: 8143.81 - lr: 0.100000 +2023-04-06 05:36:38,049 epoch 6 - iter 2120/2650 - loss 0.07141453 - time (sec): 143.71 - samples/sec: 8144.30 - lr: 0.100000 +2023-04-06 05:36:55,630 epoch 6 - iter 2385/2650 - loss 0.07132772 - time (sec): 161.29 - samples/sec: 8150.10 - lr: 0.100000 +2023-04-06 05:37:13,763 epoch 6 - iter 2650/2650 - loss 0.07135483 - time (sec): 179.42 - samples/sec: 8150.30 - lr: 0.100000 +2023-04-06 05:37:13,764 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:37:13,764 EPOCH 6 done: loss 0.0714 - lr 0.100000 +2023-04-06 05:37:13,764 BAD EPOCHS (no improvement): 0 +2023-04-06 05:37:13,767 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:37:31,673 epoch 7 - iter 265/2650 - loss 0.06680863 - time (sec): 17.91 - samples/sec: 8143.50 - lr: 0.100000 +2023-04-06 05:37:49,253 epoch 7 - iter 530/2650 - loss 0.06767624 - time (sec): 35.49 - samples/sec: 8216.94 - lr: 0.100000 +2023-04-06 05:38:07,611 epoch 7 - iter 795/2650 - loss 0.06822992 - time (sec): 53.84 - samples/sec: 8139.74 - lr: 0.100000 +2023-04-06 05:38:25,502 epoch 7 - iter 1060/2650 - loss 0.06790439 - time (sec): 71.73 - samples/sec: 8141.83 - lr: 0.100000 +2023-04-06 05:38:43,523 epoch 7 - iter 1325/2650 - loss 0.06755988 - time (sec): 89.76 - samples/sec: 8145.88 - lr: 0.100000 +2023-04-06 05:39:01,710 epoch 7 - iter 1590/2650 - loss 0.06752439 - time (sec): 107.94 - samples/sec: 8133.30 - lr: 0.100000 +2023-04-06 05:39:19,649 epoch 7 - iter 1855/2650 - loss 0.06817412 - time (sec): 125.88 - samples/sec: 8128.05 - lr: 0.100000 +2023-04-06 05:39:37,654 epoch 7 - iter 2120/2650 - loss 0.06811943 - time (sec): 143.89 - samples/sec: 8133.76 - lr: 0.100000 +2023-04-06 05:39:55,900 epoch 7 - iter 2385/2650 - loss 0.06824145 - time (sec): 162.13 - samples/sec: 8129.32 - lr: 0.100000 +2023-04-06 05:40:13,576 epoch 7 - iter 2650/2650 - loss 0.06858704 - time (sec): 179.81 - samples/sec: 8132.88 - lr: 0.100000 +2023-04-06 05:40:13,576 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:40:13,576 EPOCH 7 done: loss 0.0686 - lr 0.100000 +2023-04-06 05:40:13,576 BAD EPOCHS (no improvement): 0 +2023-04-06 05:40:13,580 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:40:30,944 epoch 8 - iter 265/2650 - loss 0.06502864 - time (sec): 17.36 - samples/sec: 8308.66 - lr: 0.100000 +2023-04-06 05:40:49,210 epoch 8 - iter 530/2650 - loss 0.06551519 - time (sec): 35.63 - samples/sec: 8182.74 - lr: 0.100000 +2023-04-06 05:41:07,497 epoch 8 - iter 795/2650 - loss 0.06596298 - time (sec): 53.92 - samples/sec: 8121.30 - lr: 0.100000 +2023-04-06 05:41:25,456 epoch 8 - iter 1060/2650 - loss 0.06578493 - time (sec): 71.88 - samples/sec: 8129.30 - lr: 0.100000 +2023-04-06 05:41:43,993 epoch 8 - iter 1325/2650 - loss 0.06583074 - time (sec): 90.41 - samples/sec: 8082.74 - lr: 0.100000 +2023-04-06 05:42:02,848 epoch 8 - iter 1590/2650 - loss 0.06592974 - time (sec): 109.27 - samples/sec: 8032.68 - lr: 0.100000 +2023-04-06 05:42:21,102 epoch 8 - iter 1855/2650 - loss 0.06587642 - time (sec): 127.52 - samples/sec: 8030.82 - lr: 0.100000 +2023-04-06 05:42:38,863 epoch 8 - iter 2120/2650 - loss 0.06591901 - time (sec): 145.28 - samples/sec: 8069.74 - lr: 0.100000 +2023-04-06 05:42:56,357 epoch 8 - iter 2385/2650 - loss 0.06583688 - time (sec): 162.78 - samples/sec: 8088.64 - lr: 0.100000 +2023-04-06 05:43:13,691 epoch 8 - iter 2650/2650 - loss 0.06588370 - time (sec): 180.11 - samples/sec: 8119.20 - lr: 0.100000 +2023-04-06 05:43:13,692 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:43:13,692 EPOCH 8 done: loss 0.0659 - lr 0.100000 +2023-04-06 05:43:13,692 BAD EPOCHS (no improvement): 0 +2023-04-06 05:43:13,695 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:43:31,219 epoch 9 - iter 265/2650 - loss 0.06301666 - time (sec): 17.52 - samples/sec: 8250.97 - lr: 0.100000 +2023-04-06 05:43:49,035 epoch 9 - iter 530/2650 - loss 0.06188372 - time (sec): 35.34 - samples/sec: 8213.05 - lr: 0.100000 +2023-04-06 05:44:06,351 epoch 9 - iter 795/2650 - loss 0.06326915 - time (sec): 52.66 - samples/sec: 8247.34 - lr: 0.100000 +2023-04-06 05:44:24,287 epoch 9 - iter 1060/2650 - loss 0.06316765 - time (sec): 70.59 - samples/sec: 8240.01 - lr: 0.100000 +2023-04-06 05:44:41,878 epoch 9 - iter 1325/2650 - loss 0.06312843 - time (sec): 88.18 - samples/sec: 8256.35 - lr: 0.100000 +2023-04-06 05:44:59,781 epoch 9 - iter 1590/2650 - loss 0.06365554 - time (sec): 106.09 - samples/sec: 8245.92 - lr: 0.100000 +2023-04-06 05:45:17,557 epoch 9 - iter 1855/2650 - loss 0.06377379 - time (sec): 123.86 - samples/sec: 8240.51 - lr: 0.100000 +2023-04-06 05:45:35,371 epoch 9 - iter 2120/2650 - loss 0.06373152 - time (sec): 141.68 - samples/sec: 8247.99 - lr: 0.100000 +2023-04-06 05:45:53,413 epoch 9 - iter 2385/2650 - loss 0.06409843 - time (sec): 159.72 - samples/sec: 8230.11 - lr: 0.100000 +2023-04-06 05:46:11,171 epoch 9 - iter 2650/2650 - loss 0.06430242 - time (sec): 177.48 - samples/sec: 8239.82 - lr: 0.100000 +2023-04-06 05:46:11,171 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:46:11,171 EPOCH 9 done: loss 0.0643 - lr 0.100000 +2023-04-06 05:46:11,171 BAD EPOCHS (no improvement): 0 +2023-04-06 05:46:11,177 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:46:29,989 epoch 10 - iter 265/2650 - loss 0.06211111 - time (sec): 18.81 - samples/sec: 7715.01 - lr: 0.100000 +2023-04-06 05:46:48,309 epoch 10 - iter 530/2650 - loss 0.06170219 - time (sec): 37.13 - samples/sec: 7862.78 - lr: 0.100000 +2023-04-06 05:47:06,052 epoch 10 - iter 795/2650 - loss 0.06141386 - time (sec): 54.87 - samples/sec: 7978.77 - lr: 0.100000 +2023-04-06 05:47:23,951 epoch 10 - iter 1060/2650 - loss 0.06151682 - time (sec): 72.77 - samples/sec: 8026.24 - lr: 0.100000 +2023-04-06 05:47:41,756 epoch 10 - iter 1325/2650 - loss 0.06141383 - time (sec): 90.58 - samples/sec: 8069.27 - lr: 0.100000 +2023-04-06 05:47:59,621 epoch 10 - iter 1590/2650 - loss 0.06176690 - time (sec): 108.44 - samples/sec: 8091.58 - lr: 0.100000 +2023-04-06 05:48:17,213 epoch 10 - iter 1855/2650 - loss 0.06204404 - time (sec): 126.04 - samples/sec: 8115.20 - lr: 0.100000 +2023-04-06 05:48:35,135 epoch 10 - iter 2120/2650 - loss 0.06209118 - time (sec): 143.96 - samples/sec: 8131.66 - lr: 0.100000 +2023-04-06 05:48:52,842 epoch 10 - iter 2385/2650 - loss 0.06227366 - time (sec): 161.66 - samples/sec: 8155.82 - lr: 0.100000 +2023-04-06 05:49:10,082 epoch 10 - iter 2650/2650 - loss 0.06236078 - time (sec): 178.90 - samples/sec: 8173.99 - lr: 0.100000 +2023-04-06 05:49:10,082 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:49:10,082 EPOCH 10 done: loss 0.0624 - lr 0.100000 +2023-04-06 05:49:10,082 BAD EPOCHS (no improvement): 0 +2023-04-06 05:49:10,086 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:49:27,752 epoch 11 - iter 265/2650 - loss 0.06031236 - time (sec): 17.67 - samples/sec: 8244.40 - lr: 0.100000 +2023-04-06 05:49:45,384 epoch 11 - iter 530/2650 - loss 0.06078448 - time (sec): 35.30 - samples/sec: 8260.48 - lr: 0.100000 +2023-04-06 05:50:03,191 epoch 11 - iter 795/2650 - loss 0.06100689 - time (sec): 53.11 - samples/sec: 8208.91 - lr: 0.100000 +2023-04-06 05:50:20,575 epoch 11 - iter 1060/2650 - loss 0.06144313 - time (sec): 70.49 - samples/sec: 8258.15 - lr: 0.100000 +2023-04-06 05:50:38,803 epoch 11 - iter 1325/2650 - loss 0.06073678 - time (sec): 88.72 - samples/sec: 8222.84 - lr: 0.100000 +2023-04-06 05:50:56,561 epoch 11 - iter 1590/2650 - loss 0.06096846 - time (sec): 106.47 - samples/sec: 8232.41 - lr: 0.100000 +2023-04-06 05:51:14,121 epoch 11 - iter 1855/2650 - loss 0.06101897 - time (sec): 124.03 - samples/sec: 8252.53 - lr: 0.100000 +2023-04-06 05:51:31,705 epoch 11 - iter 2120/2650 - loss 0.06107109 - time (sec): 141.62 - samples/sec: 8255.46 - lr: 0.100000 +2023-04-06 05:51:49,899 epoch 11 - iter 2385/2650 - loss 0.06116282 - time (sec): 159.81 - samples/sec: 8230.00 - lr: 0.100000 +2023-04-06 05:52:08,210 epoch 11 - iter 2650/2650 - loss 0.06128175 - time (sec): 178.12 - samples/sec: 8209.81 - lr: 0.100000 +2023-04-06 05:52:08,210 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:52:08,210 EPOCH 11 done: loss 0.0613 - lr 0.100000 +2023-04-06 05:52:08,210 BAD EPOCHS (no improvement): 0 +2023-04-06 05:52:08,214 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:52:26,751 epoch 12 - iter 265/2650 - loss 0.05782786 - time (sec): 18.54 - samples/sec: 7917.54 - lr: 0.100000 +2023-04-06 05:52:44,852 epoch 12 - iter 530/2650 - loss 0.05816596 - time (sec): 36.64 - samples/sec: 7990.81 - lr: 0.100000 +2023-04-06 05:53:03,226 epoch 12 - iter 795/2650 - loss 0.05862835 - time (sec): 55.01 - samples/sec: 7987.87 - lr: 0.100000 +2023-04-06 05:53:55,657 epoch 12 - iter 1060/2650 - loss 0.05857434 - time (sec): 107.44 - samples/sec: 5452.52 - lr: 0.100000 +2023-04-06 05:54:14,487 epoch 12 - iter 1325/2650 - loss 0.05899821 - time (sec): 126.27 - samples/sec: 5798.18 - lr: 0.100000 +2023-04-06 05:54:33,241 epoch 12 - iter 1590/2650 - loss 0.05927006 - time (sec): 145.03 - samples/sec: 6061.24 - lr: 0.100000 +2023-04-06 05:54:52,131 epoch 12 - iter 1855/2650 - loss 0.05943934 - time (sec): 163.92 - samples/sec: 6257.91 - lr: 0.100000 +2023-04-06 05:55:11,042 epoch 12 - iter 2120/2650 - loss 0.05959254 - time (sec): 182.83 - samples/sec: 6406.17 - lr: 0.100000 +2023-04-06 05:55:29,548 epoch 12 - iter 2385/2650 - loss 0.05958965 - time (sec): 201.33 - samples/sec: 6540.82 - lr: 0.100000 +2023-04-06 05:55:48,222 epoch 12 - iter 2650/2650 - loss 0.05957266 - time (sec): 220.01 - samples/sec: 6646.85 - lr: 0.100000 +2023-04-06 05:55:48,222 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:55:48,222 EPOCH 12 done: loss 0.0596 - lr 0.100000 +2023-04-06 05:55:48,222 BAD EPOCHS (no improvement): 0 +2023-04-06 05:55:48,226 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:56:06,922 epoch 13 - iter 265/2650 - loss 0.05755710 - time (sec): 18.70 - samples/sec: 7870.17 - lr: 0.100000 +2023-04-06 05:56:25,532 epoch 13 - iter 530/2650 - loss 0.05804948 - time (sec): 37.31 - samples/sec: 7893.29 - lr: 0.100000 +2023-04-06 05:56:43,974 epoch 13 - iter 795/2650 - loss 0.05836537 - time (sec): 55.75 - samples/sec: 7907.79 - lr: 0.100000 +2023-04-06 05:57:02,035 epoch 13 - iter 1060/2650 - loss 0.05783025 - time (sec): 73.81 - samples/sec: 7939.32 - lr: 0.100000 +2023-04-06 05:57:20,423 epoch 13 - iter 1325/2650 - loss 0.05751979 - time (sec): 92.20 - samples/sec: 7950.33 - lr: 0.100000 +2023-04-06 05:57:38,623 epoch 13 - iter 1590/2650 - loss 0.05781586 - time (sec): 110.40 - samples/sec: 7961.23 - lr: 0.100000 +2023-04-06 05:57:57,359 epoch 13 - iter 1855/2650 - loss 0.05776421 - time (sec): 129.13 - samples/sec: 7940.68 - lr: 0.100000 +2023-04-06 05:58:16,175 epoch 13 - iter 2120/2650 - loss 0.05796821 - time (sec): 147.95 - samples/sec: 7923.73 - lr: 0.100000 +2023-04-06 05:58:34,229 epoch 13 - iter 2385/2650 - loss 0.05826556 - time (sec): 166.00 - samples/sec: 7932.36 - lr: 0.100000 +2023-04-06 05:58:52,744 epoch 13 - iter 2650/2650 - loss 0.05839999 - time (sec): 184.52 - samples/sec: 7925.32 - lr: 0.100000 +2023-04-06 05:58:52,744 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:58:52,744 EPOCH 13 done: loss 0.0584 - lr 0.100000 +2023-04-06 05:58:52,744 BAD EPOCHS (no improvement): 0 +2023-04-06 05:58:52,786 ---------------------------------------------------------------------------------------------------- +2023-04-06 05:59:11,011 epoch 14 - iter 265/2650 - loss 0.05737967 - time (sec): 18.22 - samples/sec: 7936.14 - lr: 0.100000 +2023-04-06 05:59:29,728 epoch 14 - iter 530/2650 - loss 0.05616992 - time (sec): 36.94 - samples/sec: 7879.45 - lr: 0.100000 +2023-04-06 05:59:48,311 epoch 14 - iter 795/2650 - loss 0.05636806 - time (sec): 55.52 - samples/sec: 7895.21 - lr: 0.100000 +2023-04-06 06:00:06,550 epoch 14 - iter 1060/2650 - loss 0.05682585 - time (sec): 73.76 - samples/sec: 7922.60 - lr: 0.100000 +2023-04-06 06:00:24,917 epoch 14 - iter 1325/2650 - loss 0.05718452 - time (sec): 92.13 - samples/sec: 7914.97 - lr: 0.100000 +2023-04-06 06:00:43,512 epoch 14 - iter 1590/2650 - loss 0.05715114 - time (sec): 110.73 - samples/sec: 7901.49 - lr: 0.100000 +2023-04-06 06:01:02,315 epoch 14 - iter 1855/2650 - loss 0.05743515 - time (sec): 129.53 - samples/sec: 7893.42 - lr: 0.100000 +2023-04-06 06:01:20,589 epoch 14 - iter 2120/2650 - loss 0.05759865 - time (sec): 147.80 - samples/sec: 7905.43 - lr: 0.100000 +2023-04-06 06:01:38,886 epoch 14 - iter 2385/2650 - loss 0.05765435 - time (sec): 166.10 - samples/sec: 7919.07 - lr: 0.100000 +2023-04-06 06:01:57,690 epoch 14 - iter 2650/2650 - loss 0.05758086 - time (sec): 184.90 - samples/sec: 7908.78 - lr: 0.100000 +2023-04-06 06:01:57,690 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:01:57,690 EPOCH 14 done: loss 0.0576 - lr 0.100000 +2023-04-06 06:01:57,690 BAD EPOCHS (no improvement): 0 +2023-04-06 06:01:57,695 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:02:16,010 epoch 15 - iter 265/2650 - loss 0.05520686 - time (sec): 18.31 - samples/sec: 7876.42 - lr: 0.100000 +2023-04-06 06:02:34,179 epoch 15 - iter 530/2650 - loss 0.05583117 - time (sec): 36.48 - samples/sec: 7945.05 - lr: 0.100000 +2023-04-06 06:02:52,625 epoch 15 - iter 795/2650 - loss 0.05589579 - time (sec): 54.93 - samples/sec: 7963.38 - lr: 0.100000 +2023-04-06 06:03:10,651 epoch 15 - iter 1060/2650 - loss 0.05624005 - time (sec): 72.96 - samples/sec: 7998.64 - lr: 0.100000 +2023-04-06 06:03:29,250 epoch 15 - iter 1325/2650 - loss 0.05635941 - time (sec): 91.55 - samples/sec: 7984.03 - lr: 0.100000 +2023-04-06 06:03:47,623 epoch 15 - iter 1590/2650 - loss 0.05655763 - time (sec): 109.93 - samples/sec: 7976.07 - lr: 0.100000 +2023-04-06 06:04:05,857 epoch 15 - iter 1855/2650 - loss 0.05675457 - time (sec): 128.16 - samples/sec: 7984.08 - lr: 0.100000 +2023-04-06 06:04:24,089 epoch 15 - iter 2120/2650 - loss 0.05676953 - time (sec): 146.39 - samples/sec: 7977.43 - lr: 0.100000 +2023-04-06 06:04:42,699 epoch 15 - iter 2385/2650 - loss 0.05688931 - time (sec): 165.00 - samples/sec: 7975.34 - lr: 0.100000 +2023-04-06 06:05:01,270 epoch 15 - iter 2650/2650 - loss 0.05704586 - time (sec): 183.58 - samples/sec: 7966.02 - lr: 0.100000 +2023-04-06 06:05:01,270 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:05:01,270 EPOCH 15 done: loss 0.0570 - lr 0.100000 +2023-04-06 06:05:01,270 BAD EPOCHS (no improvement): 0 +2023-04-06 06:05:01,274 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:05:19,876 epoch 16 - iter 265/2650 - loss 0.05386714 - time (sec): 18.60 - samples/sec: 7900.38 - lr: 0.100000 +2023-04-06 06:05:38,423 epoch 16 - iter 530/2650 - loss 0.05475834 - time (sec): 37.15 - samples/sec: 7900.88 - lr: 0.100000 +2023-04-06 06:05:56,677 epoch 16 - iter 795/2650 - loss 0.05540631 - time (sec): 55.40 - samples/sec: 7942.23 - lr: 0.100000 +2023-04-06 06:06:14,987 epoch 16 - iter 1060/2650 - loss 0.05545007 - time (sec): 73.71 - samples/sec: 7953.81 - lr: 0.100000 +2023-04-06 06:06:33,730 epoch 16 - iter 1325/2650 - loss 0.05540327 - time (sec): 92.46 - samples/sec: 7923.13 - lr: 0.100000 +2023-04-06 06:06:52,678 epoch 16 - iter 1590/2650 - loss 0.05579498 - time (sec): 111.40 - samples/sec: 7874.99 - lr: 0.100000 +2023-04-06 06:07:11,331 epoch 16 - iter 1855/2650 - loss 0.05575775 - time (sec): 130.06 - samples/sec: 7876.01 - lr: 0.100000 +2023-04-06 06:07:29,822 epoch 16 - iter 2120/2650 - loss 0.05551833 - time (sec): 148.55 - samples/sec: 7881.05 - lr: 0.100000 +2023-04-06 06:07:48,624 epoch 16 - iter 2385/2650 - loss 0.05544533 - time (sec): 167.35 - samples/sec: 7863.32 - lr: 0.100000 +2023-04-06 06:08:07,348 epoch 16 - iter 2650/2650 - loss 0.05576982 - time (sec): 186.07 - samples/sec: 7859.04 - lr: 0.100000 +2023-04-06 06:08:07,348 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:08:07,348 EPOCH 16 done: loss 0.0558 - lr 0.100000 +2023-04-06 06:08:07,348 BAD EPOCHS (no improvement): 0 +2023-04-06 06:08:07,351 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:08:25,938 epoch 17 - iter 265/2650 - loss 0.05474174 - time (sec): 18.59 - samples/sec: 7839.34 - lr: 0.100000 +2023-04-06 06:08:44,449 epoch 17 - iter 530/2650 - loss 0.05398932 - time (sec): 37.10 - samples/sec: 7882.88 - lr: 0.100000 +2023-04-06 06:09:02,879 epoch 17 - iter 795/2650 - loss 0.05451603 - time (sec): 55.53 - samples/sec: 7890.56 - lr: 0.100000 +2023-04-06 06:09:21,777 epoch 17 - iter 1060/2650 - loss 0.05494228 - time (sec): 74.43 - samples/sec: 7842.19 - lr: 0.100000 +2023-04-06 06:09:40,102 epoch 17 - iter 1325/2650 - loss 0.05501016 - time (sec): 92.75 - samples/sec: 7858.55 - lr: 0.100000 +2023-04-06 06:09:58,805 epoch 17 - iter 1590/2650 - loss 0.05497206 - time (sec): 111.45 - samples/sec: 7855.59 - lr: 0.100000 +2023-04-06 06:10:18,009 epoch 17 - iter 1855/2650 - loss 0.05522482 - time (sec): 130.66 - samples/sec: 7824.43 - lr: 0.100000 +2023-04-06 06:10:36,852 epoch 17 - iter 2120/2650 - loss 0.05533854 - time (sec): 149.50 - samples/sec: 7823.84 - lr: 0.100000 +2023-04-06 06:10:55,300 epoch 17 - iter 2385/2650 - loss 0.05533662 - time (sec): 167.95 - samples/sec: 7835.63 - lr: 0.100000 +2023-04-06 06:11:13,717 epoch 17 - iter 2650/2650 - loss 0.05542738 - time (sec): 186.37 - samples/sec: 7846.73 - lr: 0.100000 +2023-04-06 06:11:13,717 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:11:13,717 EPOCH 17 done: loss 0.0554 - lr 0.100000 +2023-04-06 06:11:13,717 BAD EPOCHS (no improvement): 0 +2023-04-06 06:11:13,720 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:11:32,420 epoch 18 - iter 265/2650 - loss 0.05231873 - time (sec): 18.70 - samples/sec: 7802.39 - lr: 0.100000 +2023-04-06 06:11:51,275 epoch 18 - iter 530/2650 - loss 0.05297770 - time (sec): 37.55 - samples/sec: 7785.37 - lr: 0.100000 +2023-04-06 06:12:09,717 epoch 18 - iter 795/2650 - loss 0.05391244 - time (sec): 56.00 - samples/sec: 7838.15 - lr: 0.100000 +2023-04-06 06:12:28,036 epoch 18 - iter 1060/2650 - loss 0.05374249 - time (sec): 74.32 - samples/sec: 7871.76 - lr: 0.100000 +2023-04-06 06:12:46,545 epoch 18 - iter 1325/2650 - loss 0.05376008 - time (sec): 92.82 - samples/sec: 7881.88 - lr: 0.100000 +2023-04-06 06:13:04,663 epoch 18 - iter 1590/2650 - loss 0.05334191 - time (sec): 110.94 - samples/sec: 7911.87 - lr: 0.100000 +2023-04-06 06:13:23,259 epoch 18 - iter 1855/2650 - loss 0.05352741 - time (sec): 129.54 - samples/sec: 7903.42 - lr: 0.100000 +2023-04-06 06:13:41,790 epoch 18 - iter 2120/2650 - loss 0.05369582 - time (sec): 148.07 - samples/sec: 7894.93 - lr: 0.100000 +2023-04-06 06:14:00,140 epoch 18 - iter 2385/2650 - loss 0.05394263 - time (sec): 166.42 - samples/sec: 7913.75 - lr: 0.100000 +2023-04-06 06:14:18,140 epoch 18 - iter 2650/2650 - loss 0.05417085 - time (sec): 184.42 - samples/sec: 7929.53 - lr: 0.100000 +2023-04-06 06:14:18,141 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:14:18,141 EPOCH 18 done: loss 0.0542 - lr 0.100000 +2023-04-06 06:14:18,141 BAD EPOCHS (no improvement): 0 +2023-04-06 06:14:18,144 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:14:36,794 epoch 19 - iter 265/2650 - loss 0.05012973 - time (sec): 18.65 - samples/sec: 7934.34 - lr: 0.100000 +2023-04-06 06:14:55,147 epoch 19 - iter 530/2650 - loss 0.05111135 - time (sec): 37.00 - samples/sec: 7961.42 - lr: 0.100000 +2023-04-06 06:15:13,466 epoch 19 - iter 795/2650 - loss 0.05232237 - time (sec): 55.32 - samples/sec: 7992.58 - lr: 0.100000 +2023-04-06 06:15:31,828 epoch 19 - iter 1060/2650 - loss 0.05253988 - time (sec): 73.68 - samples/sec: 7994.40 - lr: 0.100000 +2023-04-06 06:15:49,786 epoch 19 - iter 1325/2650 - loss 0.05245113 - time (sec): 91.64 - samples/sec: 8013.56 - lr: 0.100000 +2023-04-06 06:16:08,057 epoch 19 - iter 1590/2650 - loss 0.05271299 - time (sec): 109.91 - samples/sec: 7996.51 - lr: 0.100000 +2023-04-06 06:16:26,795 epoch 19 - iter 1855/2650 - loss 0.05290452 - time (sec): 128.65 - samples/sec: 7975.42 - lr: 0.100000 +2023-04-06 06:16:45,347 epoch 19 - iter 2120/2650 - loss 0.05298950 - time (sec): 147.20 - samples/sec: 7957.47 - lr: 0.100000 +2023-04-06 06:17:03,341 epoch 19 - iter 2385/2650 - loss 0.05337646 - time (sec): 165.20 - samples/sec: 7968.79 - lr: 0.100000 +2023-04-06 06:17:22,221 epoch 19 - iter 2650/2650 - loss 0.05349366 - time (sec): 184.08 - samples/sec: 7944.27 - lr: 0.100000 +2023-04-06 06:17:22,222 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:17:22,222 EPOCH 19 done: loss 0.0535 - lr 0.100000 +2023-04-06 06:17:22,222 BAD EPOCHS (no improvement): 0 +2023-04-06 06:17:22,224 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:17:41,109 epoch 20 - iter 265/2650 - loss 0.05082597 - time (sec): 18.88 - samples/sec: 7779.17 - lr: 0.100000 +2023-04-06 06:17:59,376 epoch 20 - iter 530/2650 - loss 0.05164230 - time (sec): 37.15 - samples/sec: 7841.72 - lr: 0.100000 +2023-04-06 06:18:18,471 epoch 20 - iter 795/2650 - loss 0.05180971 - time (sec): 56.25 - samples/sec: 7802.03 - lr: 0.100000 +2023-04-06 06:18:36,697 epoch 20 - iter 1060/2650 - loss 0.05166418 - time (sec): 74.47 - samples/sec: 7859.81 - lr: 0.100000 +2023-04-06 06:18:55,237 epoch 20 - iter 1325/2650 - loss 0.05143689 - time (sec): 93.01 - samples/sec: 7855.90 - lr: 0.100000 +2023-04-06 06:19:13,989 epoch 20 - iter 1590/2650 - loss 0.05216698 - time (sec): 111.76 - samples/sec: 7847.59 - lr: 0.100000 +2023-04-06 06:19:32,931 epoch 20 - iter 1855/2650 - loss 0.05225846 - time (sec): 130.71 - samples/sec: 7832.69 - lr: 0.100000 +2023-04-06 06:19:51,437 epoch 20 - iter 2120/2650 - loss 0.05254569 - time (sec): 149.21 - samples/sec: 7841.53 - lr: 0.100000 +2023-04-06 06:20:10,464 epoch 20 - iter 2385/2650 - loss 0.05265991 - time (sec): 168.24 - samples/sec: 7829.00 - lr: 0.100000 +2023-04-06 06:20:29,080 epoch 20 - iter 2650/2650 - loss 0.05278548 - time (sec): 186.86 - samples/sec: 7826.17 - lr: 0.100000 +2023-04-06 06:20:29,080 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:20:29,080 EPOCH 20 done: loss 0.0528 - lr 0.100000 +2023-04-06 06:20:29,080 BAD EPOCHS (no improvement): 0 +2023-04-06 06:20:29,083 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:20:48,050 epoch 21 - iter 265/2650 - loss 0.05090119 - time (sec): 18.97 - samples/sec: 7707.79 - lr: 0.100000 +2023-04-06 06:21:06,132 epoch 21 - iter 530/2650 - loss 0.05139792 - time (sec): 37.05 - samples/sec: 7846.63 - lr: 0.100000 +2023-04-06 06:21:24,423 epoch 21 - iter 795/2650 - loss 0.05144333 - time (sec): 55.34 - samples/sec: 7903.15 - lr: 0.100000 +2023-04-06 06:21:43,007 epoch 21 - iter 1060/2650 - loss 0.05160875 - time (sec): 73.92 - samples/sec: 7915.17 - lr: 0.100000 +2023-04-06 06:22:01,586 epoch 21 - iter 1325/2650 - loss 0.05167945 - time (sec): 92.50 - samples/sec: 7905.37 - lr: 0.100000 +2023-04-06 06:22:19,665 epoch 21 - iter 1590/2650 - loss 0.05160901 - time (sec): 110.58 - samples/sec: 7911.31 - lr: 0.100000 +2023-04-06 06:22:38,722 epoch 21 - iter 1855/2650 - loss 0.05155517 - time (sec): 129.64 - samples/sec: 7874.78 - lr: 0.100000 +2023-04-06 06:22:57,317 epoch 21 - iter 2120/2650 - loss 0.05180732 - time (sec): 148.23 - samples/sec: 7875.47 - lr: 0.100000 +2023-04-06 06:23:16,940 epoch 21 - iter 2385/2650 - loss 0.05198217 - time (sec): 167.86 - samples/sec: 7839.65 - lr: 0.100000 +2023-04-06 06:23:35,585 epoch 21 - iter 2650/2650 - loss 0.05228397 - time (sec): 186.50 - samples/sec: 7841.00 - lr: 0.100000 +2023-04-06 06:23:35,585 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:23:35,585 EPOCH 21 done: loss 0.0523 - lr 0.100000 +2023-04-06 06:23:35,585 BAD EPOCHS (no improvement): 0 +2023-04-06 06:23:35,588 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:23:55,017 epoch 22 - iter 265/2650 - loss 0.04889619 - time (sec): 19.43 - samples/sec: 7628.42 - lr: 0.100000 +2023-04-06 06:24:14,006 epoch 22 - iter 530/2650 - loss 0.05010925 - time (sec): 38.42 - samples/sec: 7682.44 - lr: 0.100000 +2023-04-06 06:24:31,951 epoch 22 - iter 795/2650 - loss 0.05059762 - time (sec): 56.36 - samples/sec: 7813.03 - lr: 0.100000 +2023-04-06 06:24:50,639 epoch 22 - iter 1060/2650 - loss 0.05103498 - time (sec): 75.05 - samples/sec: 7829.26 - lr: 0.100000 +2023-04-06 06:25:08,490 epoch 22 - iter 1325/2650 - loss 0.05126495 - time (sec): 92.90 - samples/sec: 7868.68 - lr: 0.100000 +2023-04-06 06:25:26,651 epoch 22 - iter 1590/2650 - loss 0.05171217 - time (sec): 111.06 - samples/sec: 7879.64 - lr: 0.100000 +2023-04-06 06:25:45,342 epoch 22 - iter 1855/2650 - loss 0.05143837 - time (sec): 129.75 - samples/sec: 7879.19 - lr: 0.100000 +2023-04-06 06:26:04,080 epoch 22 - iter 2120/2650 - loss 0.05145072 - time (sec): 148.49 - samples/sec: 7873.81 - lr: 0.100000 +2023-04-06 06:26:22,614 epoch 22 - iter 2385/2650 - loss 0.05173143 - time (sec): 167.03 - samples/sec: 7882.00 - lr: 0.100000 +2023-04-06 06:26:40,987 epoch 22 - iter 2650/2650 - loss 0.05188801 - time (sec): 185.40 - samples/sec: 7887.65 - lr: 0.100000 +2023-04-06 06:26:40,988 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:26:40,988 EPOCH 22 done: loss 0.0519 - lr 0.100000 +2023-04-06 06:26:40,988 BAD EPOCHS (no improvement): 0 +2023-04-06 06:26:40,991 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:26:59,408 epoch 23 - iter 265/2650 - loss 0.04932590 - time (sec): 18.42 - samples/sec: 7980.65 - lr: 0.100000 +2023-04-06 06:27:17,691 epoch 23 - iter 530/2650 - loss 0.05038041 - time (sec): 36.70 - samples/sec: 7996.66 - lr: 0.100000 +2023-04-06 06:27:36,051 epoch 23 - iter 795/2650 - loss 0.05060234 - time (sec): 55.06 - samples/sec: 7974.50 - lr: 0.100000 +2023-04-06 06:27:53,930 epoch 23 - iter 1060/2650 - loss 0.05041945 - time (sec): 72.94 - samples/sec: 8012.28 - lr: 0.100000 +2023-04-06 06:28:12,409 epoch 23 - iter 1325/2650 - loss 0.05063988 - time (sec): 91.42 - samples/sec: 7995.50 - lr: 0.100000 +2023-04-06 06:28:31,663 epoch 23 - iter 1590/2650 - loss 0.05081699 - time (sec): 110.67 - samples/sec: 7933.13 - lr: 0.100000 +2023-04-06 06:28:50,148 epoch 23 - iter 1855/2650 - loss 0.05116787 - time (sec): 129.16 - samples/sec: 7927.07 - lr: 0.100000 +2023-04-06 06:29:09,300 epoch 23 - iter 2120/2650 - loss 0.05149131 - time (sec): 148.31 - samples/sec: 7892.14 - lr: 0.100000 +2023-04-06 06:29:27,621 epoch 23 - iter 2385/2650 - loss 0.05155796 - time (sec): 166.63 - samples/sec: 7894.40 - lr: 0.100000 +2023-04-06 06:29:45,999 epoch 23 - iter 2650/2650 - loss 0.05172852 - time (sec): 185.01 - samples/sec: 7904.32 - lr: 0.100000 +2023-04-06 06:29:45,999 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:29:46,000 EPOCH 23 done: loss 0.0517 - lr 0.100000 +2023-04-06 06:29:46,000 BAD EPOCHS (no improvement): 0 +2023-04-06 06:29:46,003 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:30:04,315 epoch 24 - iter 265/2650 - loss 0.05005291 - time (sec): 18.31 - samples/sec: 7935.98 - lr: 0.100000 +2023-04-06 06:30:22,977 epoch 24 - iter 530/2650 - loss 0.04978158 - time (sec): 36.97 - samples/sec: 7939.78 - lr: 0.100000 +2023-04-06 06:30:41,338 epoch 24 - iter 795/2650 - loss 0.04999644 - time (sec): 55.33 - samples/sec: 7963.88 - lr: 0.100000 +2023-04-06 06:30:59,766 epoch 24 - iter 1060/2650 - loss 0.05001453 - time (sec): 73.76 - samples/sec: 7948.62 - lr: 0.100000 +2023-04-06 06:31:17,684 epoch 24 - iter 1325/2650 - loss 0.05010837 - time (sec): 91.68 - samples/sec: 7977.32 - lr: 0.100000 +2023-04-06 06:31:35,685 epoch 24 - iter 1590/2650 - loss 0.05046948 - time (sec): 109.68 - samples/sec: 7995.11 - lr: 0.100000 +2023-04-06 06:31:53,885 epoch 24 - iter 1855/2650 - loss 0.05070964 - time (sec): 127.88 - samples/sec: 7997.66 - lr: 0.100000 +2023-04-06 06:32:12,839 epoch 24 - iter 2120/2650 - loss 0.05064159 - time (sec): 146.84 - samples/sec: 7959.68 - lr: 0.100000 +2023-04-06 06:32:30,904 epoch 24 - iter 2385/2650 - loss 0.05084405 - time (sec): 164.90 - samples/sec: 7971.43 - lr: 0.100000 +2023-04-06 06:32:49,036 epoch 24 - iter 2650/2650 - loss 0.05090510 - time (sec): 183.03 - samples/sec: 7989.63 - lr: 0.100000 +2023-04-06 06:32:49,036 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:32:49,036 EPOCH 24 done: loss 0.0509 - lr 0.100000 +2023-04-06 06:32:49,036 BAD EPOCHS (no improvement): 0 +2023-04-06 06:32:49,040 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:33:07,422 epoch 25 - iter 265/2650 - loss 0.04830702 - time (sec): 18.38 - samples/sec: 7951.83 - lr: 0.100000 +2023-04-06 06:33:25,871 epoch 25 - iter 530/2650 - loss 0.04833002 - time (sec): 36.83 - samples/sec: 7945.80 - lr: 0.100000 +2023-04-06 06:33:44,404 epoch 25 - iter 795/2650 - loss 0.04897133 - time (sec): 55.36 - samples/sec: 7914.60 - lr: 0.100000 +2023-04-06 06:34:03,026 epoch 25 - iter 1060/2650 - loss 0.04941054 - time (sec): 73.99 - samples/sec: 7875.05 - lr: 0.100000 +2023-04-06 06:34:21,167 epoch 25 - iter 1325/2650 - loss 0.04955150 - time (sec): 92.13 - samples/sec: 7912.37 - lr: 0.100000 +2023-04-06 06:34:39,264 epoch 25 - iter 1590/2650 - loss 0.04963391 - time (sec): 110.22 - samples/sec: 7945.64 - lr: 0.100000 +2023-04-06 06:34:57,643 epoch 25 - iter 1855/2650 - loss 0.04971431 - time (sec): 128.60 - samples/sec: 7949.81 - lr: 0.100000 +2023-04-06 06:35:16,187 epoch 25 - iter 2120/2650 - loss 0.04993489 - time (sec): 147.15 - samples/sec: 7950.62 - lr: 0.100000 +2023-04-06 06:35:34,387 epoch 25 - iter 2385/2650 - loss 0.05010125 - time (sec): 165.35 - samples/sec: 7956.14 - lr: 0.100000 +2023-04-06 06:35:52,670 epoch 25 - iter 2650/2650 - loss 0.05031966 - time (sec): 183.63 - samples/sec: 7963.63 - lr: 0.100000 +2023-04-06 06:35:52,671 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:35:52,671 EPOCH 25 done: loss 0.0503 - lr 0.100000 +2023-04-06 06:35:52,671 BAD EPOCHS (no improvement): 0 +2023-04-06 06:35:52,674 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:36:11,384 epoch 26 - iter 265/2650 - loss 0.04847671 - time (sec): 18.71 - samples/sec: 7904.07 - lr: 0.100000 +2023-04-06 06:36:29,856 epoch 26 - iter 530/2650 - loss 0.04851492 - time (sec): 37.18 - samples/sec: 7919.71 - lr: 0.100000 +2023-04-06 06:36:48,115 epoch 26 - iter 795/2650 - loss 0.04921834 - time (sec): 55.44 - samples/sec: 7931.68 - lr: 0.100000 +2023-04-06 06:37:06,461 epoch 26 - iter 1060/2650 - loss 0.04931838 - time (sec): 73.79 - samples/sec: 7947.89 - lr: 0.100000 +2023-04-06 06:37:24,762 epoch 26 - iter 1325/2650 - loss 0.04912329 - time (sec): 92.09 - samples/sec: 7954.44 - lr: 0.100000 +2023-04-06 06:37:42,841 epoch 26 - iter 1590/2650 - loss 0.04951932 - time (sec): 110.17 - samples/sec: 7970.74 - lr: 0.100000 +2023-04-06 06:38:01,158 epoch 26 - iter 1855/2650 - loss 0.04960409 - time (sec): 128.48 - samples/sec: 7973.72 - lr: 0.100000 +2023-04-06 06:38:19,936 epoch 26 - iter 2120/2650 - loss 0.04984436 - time (sec): 147.26 - samples/sec: 7960.08 - lr: 0.100000 +2023-04-06 06:38:37,675 epoch 26 - iter 2385/2650 - loss 0.04997306 - time (sec): 165.00 - samples/sec: 7981.39 - lr: 0.100000 +2023-04-06 06:38:56,034 epoch 26 - iter 2650/2650 - loss 0.04997727 - time (sec): 183.36 - samples/sec: 7975.36 - lr: 0.100000 +2023-04-06 06:38:56,035 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:38:56,035 EPOCH 26 done: loss 0.0500 - lr 0.100000 +2023-04-06 06:38:56,035 BAD EPOCHS (no improvement): 0 +2023-04-06 06:38:56,041 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:39:14,729 epoch 27 - iter 265/2650 - loss 0.04948407 - time (sec): 18.69 - samples/sec: 7915.52 - lr: 0.100000 +2023-04-06 06:39:33,012 epoch 27 - iter 530/2650 - loss 0.04935260 - time (sec): 36.97 - samples/sec: 7956.42 - lr: 0.100000 +2023-04-06 06:39:51,731 epoch 27 - iter 795/2650 - loss 0.04940735 - time (sec): 55.69 - samples/sec: 7951.72 - lr: 0.100000 +2023-04-06 06:40:09,950 epoch 27 - iter 1060/2650 - loss 0.04956074 - time (sec): 73.91 - samples/sec: 7946.96 - lr: 0.100000 +2023-04-06 06:40:28,387 epoch 27 - iter 1325/2650 - loss 0.04925890 - time (sec): 92.35 - samples/sec: 7958.53 - lr: 0.100000 +2023-04-06 06:40:46,440 epoch 27 - iter 1590/2650 - loss 0.04942414 - time (sec): 110.40 - samples/sec: 7982.85 - lr: 0.100000 +2023-04-06 06:41:04,567 epoch 27 - iter 1855/2650 - loss 0.04968041 - time (sec): 128.53 - samples/sec: 7992.04 - lr: 0.100000 +2023-04-06 06:41:22,581 epoch 27 - iter 2120/2650 - loss 0.04999668 - time (sec): 146.54 - samples/sec: 7993.94 - lr: 0.100000 +2023-04-06 06:41:41,039 epoch 27 - iter 2385/2650 - loss 0.05005147 - time (sec): 165.00 - samples/sec: 7986.90 - lr: 0.100000 +2023-04-06 06:41:58,940 epoch 27 - iter 2650/2650 - loss 0.05021904 - time (sec): 182.90 - samples/sec: 7995.46 - lr: 0.100000 +2023-04-06 06:41:58,941 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:41:58,941 EPOCH 27 done: loss 0.0502 - lr 0.100000 +2023-04-06 06:41:58,941 BAD EPOCHS (no improvement): 1 +2023-04-06 06:41:58,944 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:42:17,357 epoch 28 - iter 265/2650 - loss 0.04738829 - time (sec): 18.41 - samples/sec: 7937.17 - lr: 0.100000 +2023-04-06 06:42:35,962 epoch 28 - iter 530/2650 - loss 0.04880337 - time (sec): 37.02 - samples/sec: 7948.15 - lr: 0.100000 +2023-04-06 06:42:54,480 epoch 28 - iter 795/2650 - loss 0.04850656 - time (sec): 55.54 - samples/sec: 7927.90 - lr: 0.100000 +2023-04-06 06:43:12,686 epoch 28 - iter 1060/2650 - loss 0.04835668 - time (sec): 73.74 - samples/sec: 7950.02 - lr: 0.100000 +2023-04-06 06:43:31,072 epoch 28 - iter 1325/2650 - loss 0.04855453 - time (sec): 92.13 - samples/sec: 7954.75 - lr: 0.100000 +2023-04-06 06:43:49,721 epoch 28 - iter 1590/2650 - loss 0.04858814 - time (sec): 110.78 - samples/sec: 7940.63 - lr: 0.100000 +2023-04-06 06:44:08,322 epoch 28 - iter 1855/2650 - loss 0.04865366 - time (sec): 129.38 - samples/sec: 7923.50 - lr: 0.100000 +2023-04-06 06:44:26,385 epoch 28 - iter 2120/2650 - loss 0.04876921 - time (sec): 147.44 - samples/sec: 7941.80 - lr: 0.100000 +2023-04-06 06:44:44,453 epoch 28 - iter 2385/2650 - loss 0.04884676 - time (sec): 165.51 - samples/sec: 7953.88 - lr: 0.100000 +2023-04-06 06:45:02,496 epoch 28 - iter 2650/2650 - loss 0.04916127 - time (sec): 183.55 - samples/sec: 7967.01 - lr: 0.100000 +2023-04-06 06:45:02,496 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:45:02,497 EPOCH 28 done: loss 0.0492 - lr 0.100000 +2023-04-06 06:45:02,497 BAD EPOCHS (no improvement): 0 +2023-04-06 06:45:02,500 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:45:20,868 epoch 29 - iter 265/2650 - loss 0.04651407 - time (sec): 18.37 - samples/sec: 8017.71 - lr: 0.100000 +2023-04-06 06:45:39,216 epoch 29 - iter 530/2650 - loss 0.04741991 - time (sec): 36.72 - samples/sec: 7968.17 - lr: 0.100000 +2023-04-06 06:45:57,897 epoch 29 - iter 795/2650 - loss 0.04821370 - time (sec): 55.40 - samples/sec: 7934.21 - lr: 0.100000 +2023-04-06 06:46:16,671 epoch 29 - iter 1060/2650 - loss 0.04858684 - time (sec): 74.17 - samples/sec: 7937.25 - lr: 0.100000 +2023-04-06 06:46:35,146 epoch 29 - iter 1325/2650 - loss 0.04883254 - time (sec): 92.65 - samples/sec: 7940.40 - lr: 0.100000 +2023-04-06 06:46:53,156 epoch 29 - iter 1590/2650 - loss 0.04876643 - time (sec): 110.66 - samples/sec: 7958.64 - lr: 0.100000 +2023-04-06 06:47:11,467 epoch 29 - iter 1855/2650 - loss 0.04879164 - time (sec): 128.97 - samples/sec: 7944.71 - lr: 0.100000 +2023-04-06 06:47:30,250 epoch 29 - iter 2120/2650 - loss 0.04867356 - time (sec): 147.75 - samples/sec: 7926.06 - lr: 0.100000 +2023-04-06 06:47:48,205 epoch 29 - iter 2385/2650 - loss 0.04885466 - time (sec): 165.71 - samples/sec: 7943.29 - lr: 0.100000 +2023-04-06 06:48:06,428 epoch 29 - iter 2650/2650 - loss 0.04907559 - time (sec): 183.93 - samples/sec: 7950.71 - lr: 0.100000 +2023-04-06 06:48:06,429 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:48:06,429 EPOCH 29 done: loss 0.0491 - lr 0.100000 +2023-04-06 06:48:06,429 BAD EPOCHS (no improvement): 0 +2023-04-06 06:48:06,432 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:48:25,304 epoch 30 - iter 265/2650 - loss 0.04845482 - time (sec): 18.87 - samples/sec: 7827.30 - lr: 0.100000 +2023-04-06 06:48:43,867 epoch 30 - iter 530/2650 - loss 0.04826927 - time (sec): 37.43 - samples/sec: 7886.62 - lr: 0.100000 +2023-04-06 06:49:02,523 epoch 30 - iter 795/2650 - loss 0.04817849 - time (sec): 56.09 - samples/sec: 7896.26 - lr: 0.100000 +2023-04-06 06:49:20,759 epoch 30 - iter 1060/2650 - loss 0.04843988 - time (sec): 74.33 - samples/sec: 7907.66 - lr: 0.100000 +2023-04-06 06:49:38,691 epoch 30 - iter 1325/2650 - loss 0.04851299 - time (sec): 92.26 - samples/sec: 7946.36 - lr: 0.100000 +2023-04-06 06:49:57,196 epoch 30 - iter 1590/2650 - loss 0.04839994 - time (sec): 110.76 - samples/sec: 7940.34 - lr: 0.100000 +2023-04-06 06:50:15,551 epoch 30 - iter 1855/2650 - loss 0.04863167 - time (sec): 129.12 - samples/sec: 7935.49 - lr: 0.100000 +2023-04-06 06:50:33,388 epoch 30 - iter 2120/2650 - loss 0.04904280 - time (sec): 146.96 - samples/sec: 7949.18 - lr: 0.100000 +2023-04-06 06:50:52,020 epoch 30 - iter 2385/2650 - loss 0.04917319 - time (sec): 165.59 - samples/sec: 7950.68 - lr: 0.100000 +2023-04-06 06:51:10,222 epoch 30 - iter 2650/2650 - loss 0.04919011 - time (sec): 183.79 - samples/sec: 7956.72 - lr: 0.100000 +2023-04-06 06:51:10,222 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:51:10,222 EPOCH 30 done: loss 0.0492 - lr 0.100000 +2023-04-06 06:51:10,222 BAD EPOCHS (no improvement): 1 +2023-04-06 06:51:10,226 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:51:28,784 epoch 31 - iter 265/2650 - loss 0.04568604 - time (sec): 18.56 - samples/sec: 7924.29 - lr: 0.100000 +2023-04-06 06:51:47,642 epoch 31 - iter 530/2650 - loss 0.04572573 - time (sec): 37.42 - samples/sec: 7914.85 - lr: 0.100000 +2023-04-06 06:52:05,896 epoch 31 - iter 795/2650 - loss 0.04603279 - time (sec): 55.67 - samples/sec: 7927.74 - lr: 0.100000 +2023-04-06 06:52:23,736 epoch 31 - iter 1060/2650 - loss 0.04640762 - time (sec): 73.51 - samples/sec: 7967.14 - lr: 0.100000 +2023-04-06 06:52:41,870 epoch 31 - iter 1325/2650 - loss 0.04681475 - time (sec): 91.64 - samples/sec: 7968.88 - lr: 0.100000 +2023-04-06 06:53:00,524 epoch 31 - iter 1590/2650 - loss 0.04737380 - time (sec): 110.30 - samples/sec: 7956.67 - lr: 0.100000 +2023-04-06 06:53:19,211 epoch 31 - iter 1855/2650 - loss 0.04759767 - time (sec): 128.99 - samples/sec: 7943.94 - lr: 0.100000 +2023-04-06 06:53:37,234 epoch 31 - iter 2120/2650 - loss 0.04766522 - time (sec): 147.01 - samples/sec: 7965.35 - lr: 0.100000 +2023-04-06 06:53:55,346 epoch 31 - iter 2385/2650 - loss 0.04773263 - time (sec): 165.12 - samples/sec: 7963.57 - lr: 0.100000 +2023-04-06 06:54:13,921 epoch 31 - iter 2650/2650 - loss 0.04807310 - time (sec): 183.70 - samples/sec: 7960.79 - lr: 0.100000 +2023-04-06 06:54:13,922 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:54:13,922 EPOCH 31 done: loss 0.0481 - lr 0.100000 +2023-04-06 06:54:13,922 BAD EPOCHS (no improvement): 0 +2023-04-06 06:54:13,925 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:54:32,330 epoch 32 - iter 265/2650 - loss 0.04579398 - time (sec): 18.40 - samples/sec: 8049.28 - lr: 0.100000 +2023-04-06 06:54:51,156 epoch 32 - iter 530/2650 - loss 0.04706835 - time (sec): 37.23 - samples/sec: 7936.36 - lr: 0.100000 +2023-04-06 06:55:09,477 epoch 32 - iter 795/2650 - loss 0.04686093 - time (sec): 55.55 - samples/sec: 7924.65 - lr: 0.100000 +2023-04-06 06:55:27,886 epoch 32 - iter 1060/2650 - loss 0.04718461 - time (sec): 73.96 - samples/sec: 7910.29 - lr: 0.100000 +2023-04-06 06:55:46,524 epoch 32 - iter 1325/2650 - loss 0.04719569 - time (sec): 92.60 - samples/sec: 7898.73 - lr: 0.100000 +2023-04-06 06:56:04,634 epoch 32 - iter 1590/2650 - loss 0.04753131 - time (sec): 110.71 - samples/sec: 7921.21 - lr: 0.100000 +2023-04-06 06:56:23,284 epoch 32 - iter 1855/2650 - loss 0.04765527 - time (sec): 129.36 - samples/sec: 7919.74 - lr: 0.100000 +2023-04-06 06:56:41,865 epoch 32 - iter 2120/2650 - loss 0.04793031 - time (sec): 147.94 - samples/sec: 7916.62 - lr: 0.100000 +2023-04-06 06:56:59,968 epoch 32 - iter 2385/2650 - loss 0.04821548 - time (sec): 166.04 - samples/sec: 7927.02 - lr: 0.100000 +2023-04-06 06:57:18,168 epoch 32 - iter 2650/2650 - loss 0.04816274 - time (sec): 184.24 - samples/sec: 7937.15 - lr: 0.100000 +2023-04-06 06:57:18,168 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:57:18,168 EPOCH 32 done: loss 0.0482 - lr 0.100000 +2023-04-06 06:57:18,168 BAD EPOCHS (no improvement): 1 +2023-04-06 06:57:18,171 ---------------------------------------------------------------------------------------------------- +2023-04-06 06:57:36,384 epoch 33 - iter 265/2650 - loss 0.04424056 - time (sec): 18.21 - samples/sec: 8018.02 - lr: 0.100000 +2023-04-06 06:57:54,422 epoch 33 - iter 530/2650 - loss 0.04530764 - time (sec): 36.25 - samples/sec: 8049.11 - lr: 0.100000 +2023-04-06 06:58:12,579 epoch 33 - iter 795/2650 - loss 0.04567019 - time (sec): 54.41 - samples/sec: 8058.15 - lr: 0.100000 +2023-04-06 06:58:30,928 epoch 33 - iter 1060/2650 - loss 0.04642559 - time (sec): 72.76 - samples/sec: 8033.54 - lr: 0.100000 +2023-04-06 06:58:49,429 epoch 33 - iter 1325/2650 - loss 0.04693289 - time (sec): 91.26 - samples/sec: 8015.08 - lr: 0.100000 +2023-04-06 06:59:08,303 epoch 33 - iter 1590/2650 - loss 0.04691168 - time (sec): 110.13 - samples/sec: 7982.37 - lr: 0.100000 +2023-04-06 06:59:27,247 epoch 33 - iter 1855/2650 - loss 0.04704022 - time (sec): 129.08 - samples/sec: 7959.46 - lr: 0.100000 +2023-04-06 06:59:45,253 epoch 33 - iter 2120/2650 - loss 0.04737948 - time (sec): 147.08 - samples/sec: 7976.38 - lr: 0.100000 +2023-04-06 07:00:03,306 epoch 33 - iter 2385/2650 - loss 0.04751665 - time (sec): 165.13 - samples/sec: 7980.14 - lr: 0.100000 +2023-04-06 07:00:21,612 epoch 33 - iter 2650/2650 - loss 0.04770536 - time (sec): 183.44 - samples/sec: 7971.86 - lr: 0.100000 +2023-04-06 07:00:21,612 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:00:21,612 EPOCH 33 done: loss 0.0477 - lr 0.100000 +2023-04-06 07:00:21,612 BAD EPOCHS (no improvement): 0 +2023-04-06 07:00:21,614 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:00:40,059 epoch 34 - iter 265/2650 - loss 0.04786226 - time (sec): 18.44 - samples/sec: 7971.30 - lr: 0.100000 +2023-04-06 07:00:58,550 epoch 34 - iter 530/2650 - loss 0.04734375 - time (sec): 36.94 - samples/sec: 7910.82 - lr: 0.100000 +2023-04-06 07:01:16,946 epoch 34 - iter 795/2650 - loss 0.04746725 - time (sec): 55.33 - samples/sec: 7901.13 - lr: 0.100000 +2023-04-06 07:01:35,519 epoch 34 - iter 1060/2650 - loss 0.04690567 - time (sec): 73.90 - samples/sec: 7909.33 - lr: 0.100000 +2023-04-06 07:01:53,723 epoch 34 - iter 1325/2650 - loss 0.04702633 - time (sec): 92.11 - samples/sec: 7942.61 - lr: 0.100000 +2023-04-06 07:02:12,263 epoch 34 - iter 1590/2650 - loss 0.04707414 - time (sec): 110.65 - samples/sec: 7944.70 - lr: 0.100000 +2023-04-06 07:02:30,449 epoch 34 - iter 1855/2650 - loss 0.04727529 - time (sec): 128.83 - samples/sec: 7943.30 - lr: 0.100000 +2023-04-06 07:02:49,169 epoch 34 - iter 2120/2650 - loss 0.04724277 - time (sec): 147.55 - samples/sec: 7934.68 - lr: 0.100000 +2023-04-06 07:03:07,211 epoch 34 - iter 2385/2650 - loss 0.04728943 - time (sec): 165.60 - samples/sec: 7948.28 - lr: 0.100000 +2023-04-06 07:03:25,444 epoch 34 - iter 2650/2650 - loss 0.04738759 - time (sec): 183.83 - samples/sec: 7954.98 - lr: 0.100000 +2023-04-06 07:03:25,445 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:03:25,445 EPOCH 34 done: loss 0.0474 - lr 0.100000 +2023-04-06 07:03:25,445 BAD EPOCHS (no improvement): 0 +2023-04-06 07:03:25,449 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:03:44,016 epoch 35 - iter 265/2650 - loss 0.04745213 - time (sec): 18.57 - samples/sec: 7880.71 - lr: 0.100000 +2023-04-06 07:04:02,313 epoch 35 - iter 530/2650 - loss 0.04702722 - time (sec): 36.86 - samples/sec: 7876.79 - lr: 0.100000 +2023-04-06 07:04:20,514 epoch 35 - iter 795/2650 - loss 0.04707895 - time (sec): 55.07 - samples/sec: 7927.28 - lr: 0.100000 +2023-04-06 07:04:38,685 epoch 35 - iter 1060/2650 - loss 0.04737276 - time (sec): 73.24 - samples/sec: 7946.87 - lr: 0.100000 +2023-04-06 07:04:57,113 epoch 35 - iter 1325/2650 - loss 0.04730952 - time (sec): 91.66 - samples/sec: 7960.96 - lr: 0.100000 +2023-04-06 07:05:15,392 epoch 35 - iter 1590/2650 - loss 0.04753383 - time (sec): 109.94 - samples/sec: 7957.15 - lr: 0.100000 +2023-04-06 07:05:34,028 epoch 35 - iter 1855/2650 - loss 0.04761081 - time (sec): 128.58 - samples/sec: 7961.40 - lr: 0.100000 +2023-04-06 07:05:52,207 epoch 35 - iter 2120/2650 - loss 0.04765235 - time (sec): 146.76 - samples/sec: 7973.05 - lr: 0.100000 +2023-04-06 07:06:10,771 epoch 35 - iter 2385/2650 - loss 0.04750009 - time (sec): 165.32 - samples/sec: 7973.12 - lr: 0.100000 +2023-04-06 07:06:28,721 epoch 35 - iter 2650/2650 - loss 0.04771099 - time (sec): 183.27 - samples/sec: 7979.17 - lr: 0.100000 +2023-04-06 07:06:28,722 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:06:28,722 EPOCH 35 done: loss 0.0477 - lr 0.100000 +2023-04-06 07:06:28,722 BAD EPOCHS (no improvement): 1 +2023-04-06 07:06:28,725 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:06:46,997 epoch 36 - iter 265/2650 - loss 0.04686789 - time (sec): 18.27 - samples/sec: 8001.64 - lr: 0.100000 +2023-04-06 07:07:05,341 epoch 36 - iter 530/2650 - loss 0.04686082 - time (sec): 36.62 - samples/sec: 7997.44 - lr: 0.100000 +2023-04-06 07:07:23,776 epoch 36 - iter 795/2650 - loss 0.04672167 - time (sec): 55.05 - samples/sec: 7965.71 - lr: 0.100000 +2023-04-06 07:07:42,313 epoch 36 - iter 1060/2650 - loss 0.04705424 - time (sec): 73.59 - samples/sec: 7964.61 - lr: 0.100000 +2023-04-06 07:08:00,519 epoch 36 - iter 1325/2650 - loss 0.04685178 - time (sec): 91.79 - samples/sec: 7977.32 - lr: 0.100000 +2023-04-06 07:08:18,911 epoch 36 - iter 1590/2650 - loss 0.04689855 - time (sec): 110.19 - samples/sec: 7973.80 - lr: 0.100000 +2023-04-06 07:08:37,541 epoch 36 - iter 1855/2650 - loss 0.04690350 - time (sec): 128.82 - samples/sec: 7957.66 - lr: 0.100000 +2023-04-06 07:08:55,610 epoch 36 - iter 2120/2650 - loss 0.04711047 - time (sec): 146.88 - samples/sec: 7971.12 - lr: 0.100000 +2023-04-06 07:09:13,629 epoch 36 - iter 2385/2650 - loss 0.04738291 - time (sec): 164.90 - samples/sec: 7981.10 - lr: 0.100000 +2023-04-06 07:09:32,058 epoch 36 - iter 2650/2650 - loss 0.04752748 - time (sec): 183.33 - samples/sec: 7976.52 - lr: 0.100000 +2023-04-06 07:09:32,059 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:09:32,059 EPOCH 36 done: loss 0.0475 - lr 0.100000 +2023-04-06 07:09:32,059 BAD EPOCHS (no improvement): 2 +2023-04-06 07:09:32,062 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:09:50,514 epoch 37 - iter 265/2650 - loss 0.04462592 - time (sec): 18.45 - samples/sec: 7988.93 - lr: 0.100000 +2023-04-06 07:10:08,778 epoch 37 - iter 530/2650 - loss 0.04566629 - time (sec): 36.72 - samples/sec: 7993.73 - lr: 0.100000 +2023-04-06 07:10:27,377 epoch 37 - iter 795/2650 - loss 0.04673274 - time (sec): 55.31 - samples/sec: 7909.90 - lr: 0.100000 +2023-04-06 07:10:46,310 epoch 37 - iter 1060/2650 - loss 0.04659566 - time (sec): 74.25 - samples/sec: 7857.25 - lr: 0.100000 +2023-04-06 07:11:04,698 epoch 37 - iter 1325/2650 - loss 0.04668428 - time (sec): 92.64 - samples/sec: 7877.89 - lr: 0.100000 +2023-04-06 07:11:22,942 epoch 37 - iter 1590/2650 - loss 0.04687260 - time (sec): 110.88 - samples/sec: 7880.20 - lr: 0.100000 +2023-04-06 07:11:41,860 epoch 37 - iter 1855/2650 - loss 0.04696027 - time (sec): 129.80 - samples/sec: 7870.53 - lr: 0.100000 +2023-04-06 07:12:00,074 epoch 37 - iter 2120/2650 - loss 0.04698397 - time (sec): 148.01 - samples/sec: 7889.61 - lr: 0.100000 +2023-04-06 07:12:19,189 epoch 37 - iter 2385/2650 - loss 0.04694635 - time (sec): 167.13 - samples/sec: 7868.31 - lr: 0.100000 +2023-04-06 07:12:37,797 epoch 37 - iter 2650/2650 - loss 0.04712440 - time (sec): 185.73 - samples/sec: 7873.39 - lr: 0.100000 +2023-04-06 07:12:37,797 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:12:37,797 EPOCH 37 done: loss 0.0471 - lr 0.100000 +2023-04-06 07:12:37,798 BAD EPOCHS (no improvement): 0 +2023-04-06 07:12:37,800 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:12:55,610 epoch 38 - iter 265/2650 - loss 0.04444841 - time (sec): 17.81 - samples/sec: 8050.87 - lr: 0.100000 +2023-04-06 07:13:13,723 epoch 38 - iter 530/2650 - loss 0.04521853 - time (sec): 35.92 - samples/sec: 7993.66 - lr: 0.100000 +2023-04-06 07:13:31,745 epoch 38 - iter 795/2650 - loss 0.04548371 - time (sec): 53.94 - samples/sec: 8021.89 - lr: 0.100000 +2023-04-06 07:13:50,092 epoch 38 - iter 1060/2650 - loss 0.04575076 - time (sec): 72.29 - samples/sec: 8018.57 - lr: 0.100000 +2023-04-06 07:14:08,998 epoch 38 - iter 1325/2650 - loss 0.04595887 - time (sec): 91.20 - samples/sec: 7977.88 - lr: 0.100000 +2023-04-06 07:14:27,641 epoch 38 - iter 1590/2650 - loss 0.04596051 - time (sec): 109.84 - samples/sec: 7975.79 - lr: 0.100000 +2023-04-06 07:14:46,377 epoch 38 - iter 1855/2650 - loss 0.04609244 - time (sec): 128.58 - samples/sec: 7958.18 - lr: 0.100000 +2023-04-06 07:15:04,780 epoch 38 - iter 2120/2650 - loss 0.04620948 - time (sec): 146.98 - samples/sec: 7958.29 - lr: 0.100000 +2023-04-06 07:15:23,114 epoch 38 - iter 2385/2650 - loss 0.04631248 - time (sec): 165.31 - samples/sec: 7961.35 - lr: 0.100000 +2023-04-06 07:15:41,348 epoch 38 - iter 2650/2650 - loss 0.04660947 - time (sec): 183.55 - samples/sec: 7967.20 - lr: 0.100000 +2023-04-06 07:15:41,348 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:15:41,348 EPOCH 38 done: loss 0.0466 - lr 0.100000 +2023-04-06 07:15:41,348 BAD EPOCHS (no improvement): 0 +2023-04-06 07:15:41,351 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:15:59,902 epoch 39 - iter 265/2650 - loss 0.04667561 - time (sec): 18.55 - samples/sec: 7921.22 - lr: 0.100000 +2023-04-06 07:16:18,101 epoch 39 - iter 530/2650 - loss 0.04593290 - time (sec): 36.75 - samples/sec: 7966.24 - lr: 0.100000 +2023-04-06 07:16:37,023 epoch 39 - iter 795/2650 - loss 0.04575068 - time (sec): 55.67 - samples/sec: 7918.96 - lr: 0.100000 +2023-04-06 07:16:54,826 epoch 39 - iter 1060/2650 - loss 0.04585644 - time (sec): 73.47 - samples/sec: 7966.28 - lr: 0.100000 +2023-04-06 07:17:13,344 epoch 39 - iter 1325/2650 - loss 0.04603577 - time (sec): 91.99 - samples/sec: 7954.65 - lr: 0.100000 +2023-04-06 07:17:31,125 epoch 39 - iter 1590/2650 - loss 0.04626398 - time (sec): 109.77 - samples/sec: 7980.41 - lr: 0.100000 +2023-04-06 07:17:49,466 epoch 39 - iter 1855/2650 - loss 0.04654012 - time (sec): 128.11 - samples/sec: 7979.86 - lr: 0.100000 +2023-04-06 07:18:08,508 epoch 39 - iter 2120/2650 - loss 0.04661497 - time (sec): 147.16 - samples/sec: 7955.43 - lr: 0.100000 +2023-04-06 07:18:26,740 epoch 39 - iter 2385/2650 - loss 0.04666364 - time (sec): 165.39 - samples/sec: 7964.94 - lr: 0.100000 +2023-04-06 07:18:45,060 epoch 39 - iter 2650/2650 - loss 0.04685336 - time (sec): 183.71 - samples/sec: 7960.23 - lr: 0.100000 +2023-04-06 07:18:45,060 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:18:45,060 EPOCH 39 done: loss 0.0469 - lr 0.100000 +2023-04-06 07:18:45,060 BAD EPOCHS (no improvement): 1 +2023-04-06 07:18:45,063 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:19:03,462 epoch 40 - iter 265/2650 - loss 0.04626657 - time (sec): 18.40 - samples/sec: 7877.29 - lr: 0.100000 +2023-04-06 07:19:21,973 epoch 40 - iter 530/2650 - loss 0.04505035 - time (sec): 36.91 - samples/sec: 7955.81 - lr: 0.100000 +2023-04-06 07:19:40,467 epoch 40 - iter 795/2650 - loss 0.04528049 - time (sec): 55.40 - samples/sec: 7927.54 - lr: 0.100000 +2023-04-06 07:19:58,789 epoch 40 - iter 1060/2650 - loss 0.04580529 - time (sec): 73.73 - samples/sec: 7943.51 - lr: 0.100000 +2023-04-06 07:20:17,246 epoch 40 - iter 1325/2650 - loss 0.04567707 - time (sec): 92.18 - samples/sec: 7940.63 - lr: 0.100000 +2023-04-06 07:20:35,733 epoch 40 - iter 1590/2650 - loss 0.04600558 - time (sec): 110.67 - samples/sec: 7935.37 - lr: 0.100000 +2023-04-06 07:20:54,316 epoch 40 - iter 1855/2650 - loss 0.04593860 - time (sec): 129.25 - samples/sec: 7931.53 - lr: 0.100000 +2023-04-06 07:21:12,658 epoch 40 - iter 2120/2650 - loss 0.04607121 - time (sec): 147.59 - samples/sec: 7935.42 - lr: 0.100000 +2023-04-06 07:21:31,153 epoch 40 - iter 2385/2650 - loss 0.04620532 - time (sec): 166.09 - samples/sec: 7929.63 - lr: 0.100000 +2023-04-06 07:21:49,098 epoch 40 - iter 2650/2650 - loss 0.04641797 - time (sec): 184.03 - samples/sec: 7946.14 - lr: 0.100000 +2023-04-06 07:21:49,098 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:21:49,098 EPOCH 40 done: loss 0.0464 - lr 0.100000 +2023-04-06 07:21:49,098 BAD EPOCHS (no improvement): 0 +2023-04-06 07:21:49,101 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:22:07,453 epoch 41 - iter 265/2650 - loss 0.04548783 - time (sec): 18.35 - samples/sec: 7932.22 - lr: 0.100000 +2023-04-06 07:22:25,713 epoch 41 - iter 530/2650 - loss 0.04636131 - time (sec): 36.61 - samples/sec: 7978.45 - lr: 0.100000 +2023-04-06 07:22:44,432 epoch 41 - iter 795/2650 - loss 0.04576686 - time (sec): 55.33 - samples/sec: 7961.41 - lr: 0.100000 +2023-04-06 07:23:02,968 epoch 41 - iter 1060/2650 - loss 0.04577877 - time (sec): 73.87 - samples/sec: 7961.59 - lr: 0.100000 +2023-04-06 07:23:21,550 epoch 41 - iter 1325/2650 - loss 0.04581047 - time (sec): 92.45 - samples/sec: 7953.07 - lr: 0.100000 +2023-04-06 07:23:39,171 epoch 41 - iter 1590/2650 - loss 0.04604941 - time (sec): 110.07 - samples/sec: 7979.30 - lr: 0.100000 +2023-04-06 07:23:57,355 epoch 41 - iter 1855/2650 - loss 0.04591811 - time (sec): 128.25 - samples/sec: 7983.37 - lr: 0.100000 +2023-04-06 07:24:15,804 epoch 41 - iter 2120/2650 - loss 0.04595454 - time (sec): 146.70 - samples/sec: 7979.58 - lr: 0.100000 +2023-04-06 07:24:33,888 epoch 41 - iter 2385/2650 - loss 0.04607900 - time (sec): 164.79 - samples/sec: 7983.46 - lr: 0.100000 +2023-04-06 07:24:52,344 epoch 41 - iter 2650/2650 - loss 0.04626977 - time (sec): 183.24 - samples/sec: 7980.47 - lr: 0.100000 +2023-04-06 07:24:52,344 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:24:52,344 EPOCH 41 done: loss 0.0463 - lr 0.100000 +2023-04-06 07:24:52,344 BAD EPOCHS (no improvement): 0 +2023-04-06 07:24:52,347 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:25:10,938 epoch 42 - iter 265/2650 - loss 0.04452100 - time (sec): 18.59 - samples/sec: 7862.93 - lr: 0.100000 +2023-04-06 07:25:29,191 epoch 42 - iter 530/2650 - loss 0.04513252 - time (sec): 36.84 - samples/sec: 7954.45 - lr: 0.100000 +2023-04-06 07:25:47,218 epoch 42 - iter 795/2650 - loss 0.04509194 - time (sec): 54.87 - samples/sec: 7974.77 - lr: 0.100000 +2023-04-06 07:26:05,720 epoch 42 - iter 1060/2650 - loss 0.04531120 - time (sec): 73.37 - samples/sec: 7981.41 - lr: 0.100000 +2023-04-06 07:26:24,002 epoch 42 - iter 1325/2650 - loss 0.04531895 - time (sec): 91.66 - samples/sec: 7975.45 - lr: 0.100000 +2023-04-06 07:26:42,277 epoch 42 - iter 1590/2650 - loss 0.04541402 - time (sec): 109.93 - samples/sec: 7977.73 - lr: 0.100000 +2023-04-06 07:27:00,784 epoch 42 - iter 1855/2650 - loss 0.04556688 - time (sec): 128.44 - samples/sec: 7964.56 - lr: 0.100000 +2023-04-06 07:27:19,716 epoch 42 - iter 2120/2650 - loss 0.04578374 - time (sec): 147.37 - samples/sec: 7943.75 - lr: 0.100000 +2023-04-06 07:27:38,029 epoch 42 - iter 2385/2650 - loss 0.04588951 - time (sec): 165.68 - samples/sec: 7946.59 - lr: 0.100000 +2023-04-06 07:27:56,733 epoch 42 - iter 2650/2650 - loss 0.04606499 - time (sec): 184.39 - samples/sec: 7930.99 - lr: 0.100000 +2023-04-06 07:27:56,733 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:27:56,733 EPOCH 42 done: loss 0.0461 - lr 0.100000 +2023-04-06 07:27:56,733 BAD EPOCHS (no improvement): 0 +2023-04-06 07:27:56,736 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:28:15,353 epoch 43 - iter 265/2650 - loss 0.04506543 - time (sec): 18.62 - samples/sec: 7804.52 - lr: 0.100000 +2023-04-06 07:28:34,012 epoch 43 - iter 530/2650 - loss 0.04450566 - time (sec): 37.28 - samples/sec: 7806.17 - lr: 0.100000 +2023-04-06 07:28:53,066 epoch 43 - iter 795/2650 - loss 0.04490488 - time (sec): 56.33 - samples/sec: 7804.36 - lr: 0.100000 +2023-04-06 07:29:11,482 epoch 43 - iter 1060/2650 - loss 0.04519482 - time (sec): 74.75 - samples/sec: 7839.28 - lr: 0.100000 +2023-04-06 07:29:30,507 epoch 43 - iter 1325/2650 - loss 0.04557753 - time (sec): 93.77 - samples/sec: 7805.30 - lr: 0.100000 +2023-04-06 07:29:48,821 epoch 43 - iter 1590/2650 - loss 0.04560729 - time (sec): 112.08 - samples/sec: 7826.79 - lr: 0.100000 +2023-04-06 07:30:06,869 epoch 43 - iter 1855/2650 - loss 0.04565619 - time (sec): 130.13 - samples/sec: 7864.87 - lr: 0.100000 +2023-04-06 07:30:25,158 epoch 43 - iter 2120/2650 - loss 0.04572466 - time (sec): 148.42 - samples/sec: 7881.91 - lr: 0.100000 +2023-04-06 07:30:43,844 epoch 43 - iter 2385/2650 - loss 0.04579375 - time (sec): 167.11 - samples/sec: 7878.62 - lr: 0.100000 +2023-04-06 07:31:02,357 epoch 43 - iter 2650/2650 - loss 0.04606939 - time (sec): 185.62 - samples/sec: 7878.25 - lr: 0.100000 +2023-04-06 07:31:02,357 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:31:02,357 EPOCH 43 done: loss 0.0461 - lr 0.100000 +2023-04-06 07:31:02,357 BAD EPOCHS (no improvement): 1 +2023-04-06 07:31:02,363 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:31:21,192 epoch 44 - iter 265/2650 - loss 0.04406182 - time (sec): 18.83 - samples/sec: 7873.33 - lr: 0.100000 +2023-04-06 07:31:39,819 epoch 44 - iter 530/2650 - loss 0.04367286 - time (sec): 37.46 - samples/sec: 7875.74 - lr: 0.100000 +2023-04-06 07:31:58,246 epoch 44 - iter 795/2650 - loss 0.04459361 - time (sec): 55.88 - samples/sec: 7883.92 - lr: 0.100000 +2023-04-06 07:32:16,676 epoch 44 - iter 1060/2650 - loss 0.04466473 - time (sec): 74.31 - samples/sec: 7886.74 - lr: 0.100000 +2023-04-06 07:32:35,246 epoch 44 - iter 1325/2650 - loss 0.04489351 - time (sec): 92.88 - samples/sec: 7879.54 - lr: 0.100000 +2023-04-06 07:32:54,012 epoch 44 - iter 1590/2650 - loss 0.04521088 - time (sec): 111.65 - samples/sec: 7870.36 - lr: 0.100000 +2023-04-06 07:33:12,363 epoch 44 - iter 1855/2650 - loss 0.04519873 - time (sec): 130.00 - samples/sec: 7878.81 - lr: 0.100000 +2023-04-06 07:33:30,625 epoch 44 - iter 2120/2650 - loss 0.04549340 - time (sec): 148.26 - samples/sec: 7879.53 - lr: 0.100000 +2023-04-06 07:33:49,805 epoch 44 - iter 2385/2650 - loss 0.04551792 - time (sec): 167.44 - samples/sec: 7853.02 - lr: 0.100000 +2023-04-06 07:34:08,582 epoch 44 - iter 2650/2650 - loss 0.04566768 - time (sec): 186.22 - samples/sec: 7852.93 - lr: 0.100000 +2023-04-06 07:34:08,582 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:34:08,582 EPOCH 44 done: loss 0.0457 - lr 0.100000 +2023-04-06 07:34:08,582 BAD EPOCHS (no improvement): 0 +2023-04-06 07:34:08,586 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:34:27,387 epoch 45 - iter 265/2650 - loss 0.04334286 - time (sec): 18.80 - samples/sec: 7781.76 - lr: 0.100000 +2023-04-06 07:34:45,888 epoch 45 - iter 530/2650 - loss 0.04355469 - time (sec): 37.30 - samples/sec: 7849.33 - lr: 0.100000 +2023-04-06 07:35:04,661 epoch 45 - iter 795/2650 - loss 0.04392615 - time (sec): 56.08 - samples/sec: 7841.36 - lr: 0.100000 +2023-04-06 07:35:23,073 epoch 45 - iter 1060/2650 - loss 0.04390119 - time (sec): 74.49 - samples/sec: 7857.12 - lr: 0.100000 +2023-04-06 07:35:41,336 epoch 45 - iter 1325/2650 - loss 0.04434738 - time (sec): 92.75 - samples/sec: 7887.08 - lr: 0.100000 +2023-04-06 07:35:59,849 epoch 45 - iter 1590/2650 - loss 0.04457737 - time (sec): 111.26 - samples/sec: 7881.70 - lr: 0.100000 +2023-04-06 07:36:18,132 epoch 45 - iter 1855/2650 - loss 0.04472227 - time (sec): 129.55 - samples/sec: 7899.93 - lr: 0.100000 +2023-04-06 07:36:36,165 epoch 45 - iter 2120/2650 - loss 0.04484784 - time (sec): 147.58 - samples/sec: 7914.93 - lr: 0.100000 +2023-04-06 07:36:54,541 epoch 45 - iter 2385/2650 - loss 0.04497065 - time (sec): 165.96 - samples/sec: 7920.10 - lr: 0.100000 +2023-04-06 07:37:13,541 epoch 45 - iter 2650/2650 - loss 0.04514677 - time (sec): 184.96 - samples/sec: 7906.55 - lr: 0.100000 +2023-04-06 07:37:13,542 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:37:13,542 EPOCH 45 done: loss 0.0451 - lr 0.100000 +2023-04-06 07:37:13,542 BAD EPOCHS (no improvement): 0 +2023-04-06 07:37:13,545 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:37:32,034 epoch 46 - iter 265/2650 - loss 0.04534815 - time (sec): 18.49 - samples/sec: 7949.91 - lr: 0.100000 +2023-04-06 07:37:51,014 epoch 46 - iter 530/2650 - loss 0.04528589 - time (sec): 37.47 - samples/sec: 7833.59 - lr: 0.100000 +2023-04-06 07:38:09,823 epoch 46 - iter 795/2650 - loss 0.04548214 - time (sec): 56.28 - samples/sec: 7809.77 - lr: 0.100000 +2023-04-06 07:38:28,272 epoch 46 - iter 1060/2650 - loss 0.04556463 - time (sec): 74.73 - samples/sec: 7818.50 - lr: 0.100000 +2023-04-06 07:38:47,295 epoch 46 - iter 1325/2650 - loss 0.04514534 - time (sec): 93.75 - samples/sec: 7799.93 - lr: 0.100000 +2023-04-06 07:39:06,436 epoch 46 - iter 1590/2650 - loss 0.04551431 - time (sec): 112.89 - samples/sec: 7772.98 - lr: 0.100000 +2023-04-06 07:39:25,206 epoch 46 - iter 1855/2650 - loss 0.04553915 - time (sec): 131.66 - samples/sec: 7773.55 - lr: 0.100000 +2023-04-06 07:39:43,463 epoch 46 - iter 2120/2650 - loss 0.04560963 - time (sec): 149.92 - samples/sec: 7793.75 - lr: 0.100000 +2023-04-06 07:40:01,825 epoch 46 - iter 2385/2650 - loss 0.04562946 - time (sec): 168.28 - samples/sec: 7816.31 - lr: 0.100000 +2023-04-06 07:40:20,695 epoch 46 - iter 2650/2650 - loss 0.04572817 - time (sec): 187.15 - samples/sec: 7813.87 - lr: 0.100000 +2023-04-06 07:40:20,695 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:40:20,695 EPOCH 46 done: loss 0.0457 - lr 0.100000 +2023-04-06 07:40:20,695 BAD EPOCHS (no improvement): 1 +2023-04-06 07:40:20,698 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:40:39,183 epoch 47 - iter 265/2650 - loss 0.04133594 - time (sec): 18.48 - samples/sec: 7854.31 - lr: 0.100000 +2023-04-06 07:40:57,904 epoch 47 - iter 530/2650 - loss 0.04262400 - time (sec): 37.21 - samples/sec: 7824.54 - lr: 0.100000 +2023-04-06 07:41:15,973 epoch 47 - iter 795/2650 - loss 0.04353134 - time (sec): 55.27 - samples/sec: 7880.48 - lr: 0.100000 +2023-04-06 07:41:34,852 epoch 47 - iter 1060/2650 - loss 0.04393743 - time (sec): 74.15 - samples/sec: 7864.98 - lr: 0.100000 +2023-04-06 07:41:53,964 epoch 47 - iter 1325/2650 - loss 0.04431883 - time (sec): 93.27 - samples/sec: 7821.93 - lr: 0.100000 +2023-04-06 07:42:12,803 epoch 47 - iter 1590/2650 - loss 0.04435540 - time (sec): 112.10 - samples/sec: 7811.32 - lr: 0.100000 +2023-04-06 07:42:31,639 epoch 47 - iter 1855/2650 - loss 0.04463048 - time (sec): 130.94 - samples/sec: 7816.97 - lr: 0.100000 +2023-04-06 07:42:50,300 epoch 47 - iter 2120/2650 - loss 0.04484304 - time (sec): 149.60 - samples/sec: 7819.86 - lr: 0.100000 +2023-04-06 07:43:09,317 epoch 47 - iter 2385/2650 - loss 0.04490130 - time (sec): 168.62 - samples/sec: 7804.51 - lr: 0.100000 +2023-04-06 07:43:28,060 epoch 47 - iter 2650/2650 - loss 0.04492588 - time (sec): 187.36 - samples/sec: 7805.02 - lr: 0.100000 +2023-04-06 07:43:28,060 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:43:28,060 EPOCH 47 done: loss 0.0449 - lr 0.100000 +2023-04-06 07:43:28,060 BAD EPOCHS (no improvement): 0 +2023-04-06 07:43:28,064 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:43:46,996 epoch 48 - iter 265/2650 - loss 0.04406631 - time (sec): 18.93 - samples/sec: 7695.00 - lr: 0.100000 +2023-04-06 07:44:05,835 epoch 48 - iter 530/2650 - loss 0.04450037 - time (sec): 37.77 - samples/sec: 7765.58 - lr: 0.100000 +2023-04-06 07:44:24,646 epoch 48 - iter 795/2650 - loss 0.04473852 - time (sec): 56.58 - samples/sec: 7770.27 - lr: 0.100000 +2023-04-06 07:44:43,704 epoch 48 - iter 1060/2650 - loss 0.04479096 - time (sec): 75.64 - samples/sec: 7764.59 - lr: 0.100000 +2023-04-06 07:45:02,341 epoch 48 - iter 1325/2650 - loss 0.04484832 - time (sec): 94.28 - samples/sec: 7768.38 - lr: 0.100000 +2023-04-06 07:45:20,667 epoch 48 - iter 1590/2650 - loss 0.04479779 - time (sec): 112.60 - samples/sec: 7809.17 - lr: 0.100000 +2023-04-06 07:45:38,539 epoch 48 - iter 1855/2650 - loss 0.04493183 - time (sec): 130.48 - samples/sec: 7853.41 - lr: 0.100000 +2023-04-06 07:45:56,563 epoch 48 - iter 2120/2650 - loss 0.04501677 - time (sec): 148.50 - samples/sec: 7874.30 - lr: 0.100000 +2023-04-06 07:46:14,798 epoch 48 - iter 2385/2650 - loss 0.04508084 - time (sec): 166.73 - samples/sec: 7894.91 - lr: 0.100000 +2023-04-06 07:46:33,352 epoch 48 - iter 2650/2650 - loss 0.04502742 - time (sec): 185.29 - samples/sec: 7892.38 - lr: 0.100000 +2023-04-06 07:46:33,352 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:46:33,352 EPOCH 48 done: loss 0.0450 - lr 0.100000 +2023-04-06 07:46:33,352 BAD EPOCHS (no improvement): 1 +2023-04-06 07:46:33,356 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:46:51,796 epoch 49 - iter 265/2650 - loss 0.04341949 - time (sec): 18.44 - samples/sec: 7914.22 - lr: 0.100000 +2023-04-06 07:47:10,447 epoch 49 - iter 530/2650 - loss 0.04487760 - time (sec): 37.09 - samples/sec: 7882.13 - lr: 0.100000 +2023-04-06 07:47:28,719 epoch 49 - iter 795/2650 - loss 0.04452396 - time (sec): 55.36 - samples/sec: 7922.98 - lr: 0.100000 +2023-04-06 07:47:47,409 epoch 49 - iter 1060/2650 - loss 0.04489697 - time (sec): 74.05 - samples/sec: 7900.90 - lr: 0.100000 +2023-04-06 07:48:06,370 epoch 49 - iter 1325/2650 - loss 0.04495540 - time (sec): 93.01 - samples/sec: 7883.62 - lr: 0.100000 +2023-04-06 07:48:25,267 epoch 49 - iter 1590/2650 - loss 0.04495202 - time (sec): 111.91 - samples/sec: 7860.57 - lr: 0.100000 +2023-04-06 07:48:44,075 epoch 49 - iter 1855/2650 - loss 0.04497125 - time (sec): 130.72 - samples/sec: 7845.06 - lr: 0.100000 +2023-04-06 07:49:02,783 epoch 49 - iter 2120/2650 - loss 0.04517330 - time (sec): 149.43 - samples/sec: 7845.13 - lr: 0.100000 +2023-04-06 07:49:21,491 epoch 49 - iter 2385/2650 - loss 0.04523375 - time (sec): 168.13 - samples/sec: 7839.58 - lr: 0.100000 +2023-04-06 07:49:39,682 epoch 49 - iter 2650/2650 - loss 0.04525814 - time (sec): 186.33 - samples/sec: 7848.43 - lr: 0.100000 +2023-04-06 07:49:39,682 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:49:39,682 EPOCH 49 done: loss 0.0453 - lr 0.100000 +2023-04-06 07:49:39,682 BAD EPOCHS (no improvement): 2 +2023-04-06 07:49:39,685 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:49:58,383 epoch 50 - iter 265/2650 - loss 0.04394068 - time (sec): 18.70 - samples/sec: 7753.77 - lr: 0.100000 +2023-04-06 07:50:16,960 epoch 50 - iter 530/2650 - loss 0.04406703 - time (sec): 37.27 - samples/sec: 7813.22 - lr: 0.100000 +2023-04-06 07:50:35,787 epoch 50 - iter 795/2650 - loss 0.04387915 - time (sec): 56.10 - samples/sec: 7849.94 - lr: 0.100000 +2023-04-06 07:50:54,503 epoch 50 - iter 1060/2650 - loss 0.04409459 - time (sec): 74.82 - samples/sec: 7860.43 - lr: 0.100000 +2023-04-06 07:51:12,973 epoch 50 - iter 1325/2650 - loss 0.04426199 - time (sec): 93.29 - samples/sec: 7851.60 - lr: 0.100000 +2023-04-06 07:51:30,993 epoch 50 - iter 1590/2650 - loss 0.04445126 - time (sec): 111.31 - samples/sec: 7886.98 - lr: 0.100000 +2023-04-06 07:51:49,798 epoch 50 - iter 1855/2650 - loss 0.04487967 - time (sec): 130.11 - samples/sec: 7875.74 - lr: 0.100000 +2023-04-06 07:52:08,304 epoch 50 - iter 2120/2650 - loss 0.04488535 - time (sec): 148.62 - samples/sec: 7880.26 - lr: 0.100000 +2023-04-06 07:52:26,470 epoch 50 - iter 2385/2650 - loss 0.04511402 - time (sec): 166.78 - samples/sec: 7891.84 - lr: 0.100000 +2023-04-06 07:52:44,703 epoch 50 - iter 2650/2650 - loss 0.04526537 - time (sec): 185.02 - samples/sec: 7903.93 - lr: 0.100000 +2023-04-06 07:52:44,703 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:52:44,703 EPOCH 50 done: loss 0.0453 - lr 0.100000 +2023-04-06 07:52:44,703 BAD EPOCHS (no improvement): 3 +2023-04-06 07:52:44,706 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:53:02,893 epoch 51 - iter 265/2650 - loss 0.04307510 - time (sec): 18.19 - samples/sec: 7930.23 - lr: 0.100000 +2023-04-06 07:53:21,148 epoch 51 - iter 530/2650 - loss 0.04394790 - time (sec): 36.44 - samples/sec: 7930.12 - lr: 0.100000 +2023-04-06 07:53:39,656 epoch 51 - iter 795/2650 - loss 0.04453353 - time (sec): 54.95 - samples/sec: 7894.47 - lr: 0.100000 +2023-04-06 07:53:58,343 epoch 51 - iter 1060/2650 - loss 0.04446002 - time (sec): 73.64 - samples/sec: 7892.98 - lr: 0.100000 +2023-04-06 07:54:16,727 epoch 51 - iter 1325/2650 - loss 0.04447675 - time (sec): 92.02 - samples/sec: 7915.51 - lr: 0.100000 +2023-04-06 07:54:34,819 epoch 51 - iter 1590/2650 - loss 0.04455558 - time (sec): 110.11 - samples/sec: 7933.96 - lr: 0.100000 +2023-04-06 07:54:53,257 epoch 51 - iter 1855/2650 - loss 0.04486059 - time (sec): 128.55 - samples/sec: 7933.51 - lr: 0.100000 +2023-04-06 07:55:11,940 epoch 51 - iter 2120/2650 - loss 0.04497491 - time (sec): 147.23 - samples/sec: 7922.53 - lr: 0.100000 +2023-04-06 07:55:30,500 epoch 51 - iter 2385/2650 - loss 0.04514164 - time (sec): 165.79 - samples/sec: 7927.71 - lr: 0.100000 +2023-04-06 07:55:49,198 epoch 51 - iter 2650/2650 - loss 0.04511150 - time (sec): 184.49 - samples/sec: 7926.41 - lr: 0.100000 +2023-04-06 07:55:49,199 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:55:49,199 EPOCH 51 done: loss 0.0451 - lr 0.100000 +2023-04-06 07:55:49,199 Epoch 51: reducing learning rate of group 0 to 5.0000e-02. +2023-04-06 07:55:49,199 BAD EPOCHS (no improvement): 4 +2023-04-06 07:55:49,202 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:56:07,448 epoch 52 - iter 265/2650 - loss 0.04317669 - time (sec): 18.25 - samples/sec: 7901.61 - lr: 0.050000 +2023-04-06 07:56:36,017 epoch 52 - iter 530/2650 - loss 0.04212095 - time (sec): 46.81 - samples/sec: 6222.89 - lr: 0.050000 +2023-04-06 07:56:54,699 epoch 52 - iter 795/2650 - loss 0.04206812 - time (sec): 65.50 - samples/sec: 6691.32 - lr: 0.050000 +2023-04-06 07:57:12,794 epoch 52 - iter 1060/2650 - loss 0.04208970 - time (sec): 83.59 - samples/sec: 6957.54 - lr: 0.050000 +2023-04-06 07:57:31,397 epoch 52 - iter 1325/2650 - loss 0.04226703 - time (sec): 102.19 - samples/sec: 7136.30 - lr: 0.050000 +2023-04-06 07:57:49,888 epoch 52 - iter 1590/2650 - loss 0.04226864 - time (sec): 120.69 - samples/sec: 7255.92 - lr: 0.050000 +2023-04-06 07:58:08,228 epoch 52 - iter 1855/2650 - loss 0.04204409 - time (sec): 139.03 - samples/sec: 7355.59 - lr: 0.050000 +2023-04-06 07:58:26,862 epoch 52 - iter 2120/2650 - loss 0.04222261 - time (sec): 157.66 - samples/sec: 7420.62 - lr: 0.050000 +2023-04-06 07:58:45,200 epoch 52 - iter 2385/2650 - loss 0.04215198 - time (sec): 176.00 - samples/sec: 7481.94 - lr: 0.050000 +2023-04-06 07:59:03,769 epoch 52 - iter 2650/2650 - loss 0.04230955 - time (sec): 194.57 - samples/sec: 7515.99 - lr: 0.050000 +2023-04-06 07:59:03,769 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:59:03,769 EPOCH 52 done: loss 0.0423 - lr 0.050000 +2023-04-06 07:59:03,769 BAD EPOCHS (no improvement): 0 +2023-04-06 07:59:03,773 ---------------------------------------------------------------------------------------------------- +2023-04-06 07:59:22,388 epoch 53 - iter 265/2650 - loss 0.03949641 - time (sec): 18.62 - samples/sec: 7907.80 - lr: 0.050000 +2023-04-06 07:59:40,905 epoch 53 - iter 530/2650 - loss 0.04017371 - time (sec): 37.13 - samples/sec: 7915.70 - lr: 0.050000 +2023-04-06 07:59:59,600 epoch 53 - iter 795/2650 - loss 0.04024837 - time (sec): 55.83 - samples/sec: 7883.39 - lr: 0.050000 +2023-04-06 08:00:18,199 epoch 53 - iter 1060/2650 - loss 0.04041977 - time (sec): 74.43 - samples/sec: 7891.57 - lr: 0.050000 +2023-04-06 08:00:36,905 epoch 53 - iter 1325/2650 - loss 0.04070280 - time (sec): 93.13 - samples/sec: 7893.25 - lr: 0.050000 +2023-04-06 08:00:55,111 epoch 53 - iter 1590/2650 - loss 0.04062021 - time (sec): 111.34 - samples/sec: 7903.27 - lr: 0.050000 +2023-04-06 08:01:13,500 epoch 53 - iter 1855/2650 - loss 0.04059717 - time (sec): 129.73 - samples/sec: 7894.84 - lr: 0.050000 +2023-04-06 08:01:31,815 epoch 53 - iter 2120/2650 - loss 0.04082940 - time (sec): 148.04 - samples/sec: 7895.80 - lr: 0.050000 +2023-04-06 08:01:50,155 epoch 53 - iter 2385/2650 - loss 0.04090555 - time (sec): 166.38 - samples/sec: 7904.76 - lr: 0.050000 +2023-04-06 08:02:08,739 epoch 53 - iter 2650/2650 - loss 0.04084780 - time (sec): 184.97 - samples/sec: 7906.13 - lr: 0.050000 +2023-04-06 08:02:08,739 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:02:08,739 EPOCH 53 done: loss 0.0408 - lr 0.050000 +2023-04-06 08:02:08,739 BAD EPOCHS (no improvement): 0 +2023-04-06 08:02:08,743 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:02:27,417 epoch 54 - iter 265/2650 - loss 0.03990547 - time (sec): 18.67 - samples/sec: 7938.85 - lr: 0.050000 +2023-04-06 08:02:45,886 epoch 54 - iter 530/2650 - loss 0.04022015 - time (sec): 37.14 - samples/sec: 7878.84 - lr: 0.050000 +2023-04-06 08:03:04,541 epoch 54 - iter 795/2650 - loss 0.04047452 - time (sec): 55.80 - samples/sec: 7880.92 - lr: 0.050000 +2023-04-06 08:03:22,990 epoch 54 - iter 1060/2650 - loss 0.03989706 - time (sec): 74.25 - samples/sec: 7880.85 - lr: 0.050000 +2023-04-06 08:03:41,141 epoch 54 - iter 1325/2650 - loss 0.03989365 - time (sec): 92.40 - samples/sec: 7902.12 - lr: 0.050000 +2023-04-06 08:03:59,680 epoch 54 - iter 1590/2650 - loss 0.03987238 - time (sec): 110.94 - samples/sec: 7897.25 - lr: 0.050000 +2023-04-06 08:04:18,393 epoch 54 - iter 1855/2650 - loss 0.04000256 - time (sec): 129.65 - samples/sec: 7886.29 - lr: 0.050000 +2023-04-06 08:04:36,873 epoch 54 - iter 2120/2650 - loss 0.04006729 - time (sec): 148.13 - samples/sec: 7888.67 - lr: 0.050000 +2023-04-06 08:04:55,632 epoch 54 - iter 2385/2650 - loss 0.04015447 - time (sec): 166.89 - samples/sec: 7891.01 - lr: 0.050000 +2023-04-06 08:05:14,016 epoch 54 - iter 2650/2650 - loss 0.04023065 - time (sec): 185.27 - samples/sec: 7893.03 - lr: 0.050000 +2023-04-06 08:05:14,017 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:05:14,017 EPOCH 54 done: loss 0.0402 - lr 0.050000 +2023-04-06 08:05:14,017 BAD EPOCHS (no improvement): 0 +2023-04-06 08:05:14,020 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:05:32,283 epoch 55 - iter 265/2650 - loss 0.04017155 - time (sec): 18.26 - samples/sec: 7986.01 - lr: 0.050000 +2023-04-06 08:05:51,066 epoch 55 - iter 530/2650 - loss 0.03952158 - time (sec): 37.05 - samples/sec: 7888.44 - lr: 0.050000 +2023-04-06 08:06:09,891 epoch 55 - iter 795/2650 - loss 0.03928623 - time (sec): 55.87 - samples/sec: 7869.57 - lr: 0.050000 +2023-04-06 08:06:28,238 epoch 55 - iter 1060/2650 - loss 0.03923005 - time (sec): 74.22 - samples/sec: 7879.00 - lr: 0.050000 +2023-04-06 08:06:46,407 epoch 55 - iter 1325/2650 - loss 0.03924633 - time (sec): 92.39 - samples/sec: 7898.76 - lr: 0.050000 +2023-04-06 08:07:05,036 epoch 55 - iter 1590/2650 - loss 0.03939704 - time (sec): 111.02 - samples/sec: 7907.97 - lr: 0.050000 +2023-04-06 08:07:23,577 epoch 55 - iter 1855/2650 - loss 0.03962985 - time (sec): 129.56 - samples/sec: 7902.99 - lr: 0.050000 +2023-04-06 08:07:41,743 epoch 55 - iter 2120/2650 - loss 0.03968707 - time (sec): 147.72 - samples/sec: 7916.66 - lr: 0.050000 +2023-04-06 08:08:00,280 epoch 55 - iter 2385/2650 - loss 0.03947652 - time (sec): 166.26 - samples/sec: 7918.39 - lr: 0.050000 +2023-04-06 08:08:18,778 epoch 55 - iter 2650/2650 - loss 0.03942933 - time (sec): 184.76 - samples/sec: 7915.03 - lr: 0.050000 +2023-04-06 08:08:18,778 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:08:18,778 EPOCH 55 done: loss 0.0394 - lr 0.050000 +2023-04-06 08:08:18,778 BAD EPOCHS (no improvement): 0 +2023-04-06 08:08:18,781 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:08:37,147 epoch 56 - iter 265/2650 - loss 0.03780974 - time (sec): 18.37 - samples/sec: 8005.77 - lr: 0.050000 +2023-04-06 08:08:55,591 epoch 56 - iter 530/2650 - loss 0.03840103 - time (sec): 36.81 - samples/sec: 7956.35 - lr: 0.050000 +2023-04-06 08:09:14,100 epoch 56 - iter 795/2650 - loss 0.03848071 - time (sec): 55.32 - samples/sec: 7927.45 - lr: 0.050000 +2023-04-06 08:09:32,852 epoch 56 - iter 1060/2650 - loss 0.03867367 - time (sec): 74.07 - samples/sec: 7893.78 - lr: 0.050000 +2023-04-06 08:09:51,126 epoch 56 - iter 1325/2650 - loss 0.03870451 - time (sec): 92.34 - samples/sec: 7910.51 - lr: 0.050000 +2023-04-06 08:10:09,144 epoch 56 - iter 1590/2650 - loss 0.03860717 - time (sec): 110.36 - samples/sec: 7923.26 - lr: 0.050000 +2023-04-06 08:10:27,602 epoch 56 - iter 1855/2650 - loss 0.03849407 - time (sec): 128.82 - samples/sec: 7929.91 - lr: 0.050000 +2023-04-06 08:10:46,326 epoch 56 - iter 2120/2650 - loss 0.03871938 - time (sec): 147.55 - samples/sec: 7924.08 - lr: 0.050000 +2023-04-06 08:11:04,864 epoch 56 - iter 2385/2650 - loss 0.03875875 - time (sec): 166.08 - samples/sec: 7913.49 - lr: 0.050000 +2023-04-06 08:11:23,271 epoch 56 - iter 2650/2650 - loss 0.03894808 - time (sec): 184.49 - samples/sec: 7926.51 - lr: 0.050000 +2023-04-06 08:11:23,271 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:11:23,271 EPOCH 56 done: loss 0.0389 - lr 0.050000 +2023-04-06 08:11:23,271 BAD EPOCHS (no improvement): 0 +2023-04-06 08:11:23,274 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:11:41,587 epoch 57 - iter 265/2650 - loss 0.03771233 - time (sec): 18.31 - samples/sec: 7958.56 - lr: 0.050000 +2023-04-06 08:12:00,159 epoch 57 - iter 530/2650 - loss 0.03758825 - time (sec): 36.88 - samples/sec: 7890.89 - lr: 0.050000 +2023-04-06 08:12:18,531 epoch 57 - iter 795/2650 - loss 0.03756020 - time (sec): 55.26 - samples/sec: 7891.80 - lr: 0.050000 +2023-04-06 08:12:37,146 epoch 57 - iter 1060/2650 - loss 0.03829720 - time (sec): 73.87 - samples/sec: 7875.68 - lr: 0.050000 +2023-04-06 08:12:55,638 epoch 57 - iter 1325/2650 - loss 0.03836526 - time (sec): 92.36 - samples/sec: 7882.03 - lr: 0.050000 +2023-04-06 08:13:14,070 epoch 57 - iter 1590/2650 - loss 0.03856784 - time (sec): 110.80 - samples/sec: 7903.01 - lr: 0.050000 +2023-04-06 08:13:32,690 epoch 57 - iter 1855/2650 - loss 0.03864894 - time (sec): 129.42 - samples/sec: 7912.21 - lr: 0.050000 +2023-04-06 08:13:50,942 epoch 57 - iter 2120/2650 - loss 0.03859804 - time (sec): 147.67 - samples/sec: 7915.05 - lr: 0.050000 +2023-04-06 08:14:09,891 epoch 57 - iter 2385/2650 - loss 0.03852514 - time (sec): 166.62 - samples/sec: 7904.95 - lr: 0.050000 +2023-04-06 08:14:28,044 epoch 57 - iter 2650/2650 - loss 0.03855941 - time (sec): 184.77 - samples/sec: 7914.52 - lr: 0.050000 +2023-04-06 08:14:28,044 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:14:28,044 EPOCH 57 done: loss 0.0386 - lr 0.050000 +2023-04-06 08:14:28,044 BAD EPOCHS (no improvement): 0 +2023-04-06 08:14:28,047 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:14:46,566 epoch 58 - iter 265/2650 - loss 0.03736573 - time (sec): 18.52 - samples/sec: 7870.13 - lr: 0.050000 +2023-04-06 08:15:04,807 epoch 58 - iter 530/2650 - loss 0.03696909 - time (sec): 36.76 - samples/sec: 7948.33 - lr: 0.050000 +2023-04-06 08:15:23,158 epoch 58 - iter 795/2650 - loss 0.03726252 - time (sec): 55.11 - samples/sec: 7932.98 - lr: 0.050000 +2023-04-06 08:15:41,545 epoch 58 - iter 1060/2650 - loss 0.03739019 - time (sec): 73.50 - samples/sec: 7941.96 - lr: 0.050000 +2023-04-06 08:16:00,035 epoch 58 - iter 1325/2650 - loss 0.03781461 - time (sec): 91.99 - samples/sec: 7925.80 - lr: 0.050000 +2023-04-06 08:16:18,375 epoch 58 - iter 1590/2650 - loss 0.03778357 - time (sec): 110.33 - samples/sec: 7941.57 - lr: 0.050000 +2023-04-06 08:16:37,059 epoch 58 - iter 1855/2650 - loss 0.03778931 - time (sec): 129.01 - samples/sec: 7935.86 - lr: 0.050000 +2023-04-06 08:16:56,731 epoch 58 - iter 2120/2650 - loss 0.03780422 - time (sec): 148.68 - samples/sec: 7864.28 - lr: 0.050000 +2023-04-06 08:17:15,593 epoch 58 - iter 2385/2650 - loss 0.03788493 - time (sec): 167.55 - samples/sec: 7862.84 - lr: 0.050000 +2023-04-06 08:17:35,134 epoch 58 - iter 2650/2650 - loss 0.03796442 - time (sec): 187.09 - samples/sec: 7816.48 - lr: 0.050000 +2023-04-06 08:17:35,135 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:17:35,135 EPOCH 58 done: loss 0.0380 - lr 0.050000 +2023-04-06 08:17:35,135 BAD EPOCHS (no improvement): 0 +2023-04-06 08:17:35,137 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:17:54,328 epoch 59 - iter 265/2650 - loss 0.03931499 - time (sec): 19.19 - samples/sec: 7597.10 - lr: 0.050000 +2023-04-06 08:18:13,436 epoch 59 - iter 530/2650 - loss 0.03895720 - time (sec): 38.30 - samples/sec: 7671.49 - lr: 0.050000 +2023-04-06 08:18:32,125 epoch 59 - iter 795/2650 - loss 0.03816632 - time (sec): 56.99 - samples/sec: 7756.61 - lr: 0.050000 +2023-04-06 08:18:50,376 epoch 59 - iter 1060/2650 - loss 0.03828851 - time (sec): 75.24 - samples/sec: 7797.49 - lr: 0.050000 +2023-04-06 08:19:08,591 epoch 59 - iter 1325/2650 - loss 0.03821523 - time (sec): 93.45 - samples/sec: 7835.54 - lr: 0.050000 +2023-04-06 08:19:27,269 epoch 59 - iter 1590/2650 - loss 0.03822281 - time (sec): 112.13 - samples/sec: 7837.13 - lr: 0.050000 +2023-04-06 08:19:46,439 epoch 59 - iter 1855/2650 - loss 0.03828985 - time (sec): 131.30 - samples/sec: 7816.09 - lr: 0.050000 +2023-04-06 08:20:05,216 epoch 59 - iter 2120/2650 - loss 0.03821431 - time (sec): 150.08 - samples/sec: 7805.09 - lr: 0.050000 +2023-04-06 08:20:23,926 epoch 59 - iter 2385/2650 - loss 0.03809873 - time (sec): 168.79 - samples/sec: 7805.61 - lr: 0.050000 +2023-04-06 08:20:42,263 epoch 59 - iter 2650/2650 - loss 0.03810763 - time (sec): 187.13 - samples/sec: 7814.88 - lr: 0.050000 +2023-04-06 08:20:42,263 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:20:42,263 EPOCH 59 done: loss 0.0381 - lr 0.050000 +2023-04-06 08:20:42,263 BAD EPOCHS (no improvement): 1 +2023-04-06 08:20:42,266 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:21:00,791 epoch 60 - iter 265/2650 - loss 0.03800331 - time (sec): 18.53 - samples/sec: 7850.79 - lr: 0.050000 +2023-04-06 08:21:19,166 epoch 60 - iter 530/2650 - loss 0.03756505 - time (sec): 36.90 - samples/sec: 7924.36 - lr: 0.050000 +2023-04-06 08:21:37,572 epoch 60 - iter 795/2650 - loss 0.03776981 - time (sec): 55.31 - samples/sec: 7950.23 - lr: 0.050000 +2023-04-06 08:21:56,468 epoch 60 - iter 1060/2650 - loss 0.03747141 - time (sec): 74.20 - samples/sec: 7923.14 - lr: 0.050000 +2023-04-06 08:22:15,089 epoch 60 - iter 1325/2650 - loss 0.03734002 - time (sec): 92.82 - samples/sec: 7912.39 - lr: 0.050000 +2023-04-06 08:22:33,971 epoch 60 - iter 1590/2650 - loss 0.03725013 - time (sec): 111.71 - samples/sec: 7880.75 - lr: 0.050000 +2023-04-06 08:22:52,191 epoch 60 - iter 1855/2650 - loss 0.03738627 - time (sec): 129.93 - samples/sec: 7895.21 - lr: 0.050000 +2023-04-06 08:23:10,507 epoch 60 - iter 2120/2650 - loss 0.03745933 - time (sec): 148.24 - samples/sec: 7900.67 - lr: 0.050000 +2023-04-06 08:23:29,567 epoch 60 - iter 2385/2650 - loss 0.03757382 - time (sec): 167.30 - samples/sec: 7871.50 - lr: 0.050000 +2023-04-06 08:23:47,929 epoch 60 - iter 2650/2650 - loss 0.03772311 - time (sec): 185.66 - samples/sec: 7876.42 - lr: 0.050000 +2023-04-06 08:23:47,930 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:23:47,930 EPOCH 60 done: loss 0.0377 - lr 0.050000 +2023-04-06 08:23:47,930 BAD EPOCHS (no improvement): 0 +2023-04-06 08:23:47,932 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:24:05,975 epoch 61 - iter 265/2650 - loss 0.03582226 - time (sec): 18.04 - samples/sec: 8093.14 - lr: 0.050000 +2023-04-06 08:24:24,343 epoch 61 - iter 530/2650 - loss 0.03584937 - time (sec): 36.41 - samples/sec: 8025.32 - lr: 0.050000 +2023-04-06 08:24:42,834 epoch 61 - iter 795/2650 - loss 0.03647279 - time (sec): 54.90 - samples/sec: 7964.88 - lr: 0.050000 +2023-04-06 08:25:01,342 epoch 61 - iter 1060/2650 - loss 0.03685953 - time (sec): 73.41 - samples/sec: 7943.07 - lr: 0.050000 +2023-04-06 08:25:20,052 epoch 61 - iter 1325/2650 - loss 0.03728120 - time (sec): 92.12 - samples/sec: 7919.43 - lr: 0.050000 +2023-04-06 08:25:38,253 epoch 61 - iter 1590/2650 - loss 0.03717444 - time (sec): 110.32 - samples/sec: 7925.12 - lr: 0.050000 +2023-04-06 08:25:56,382 epoch 61 - iter 1855/2650 - loss 0.03704189 - time (sec): 128.45 - samples/sec: 7935.55 - lr: 0.050000 +2023-04-06 08:26:14,831 epoch 61 - iter 2120/2650 - loss 0.03720451 - time (sec): 146.90 - samples/sec: 7944.41 - lr: 0.050000 +2023-04-06 08:26:33,422 epoch 61 - iter 2385/2650 - loss 0.03740467 - time (sec): 165.49 - samples/sec: 7942.47 - lr: 0.050000 +2023-04-06 08:26:52,171 epoch 61 - iter 2650/2650 - loss 0.03748947 - time (sec): 184.24 - samples/sec: 7937.35 - lr: 0.050000 +2023-04-06 08:26:52,171 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:26:52,171 EPOCH 61 done: loss 0.0375 - lr 0.050000 +2023-04-06 08:26:52,171 BAD EPOCHS (no improvement): 0 +2023-04-06 08:26:52,174 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:27:10,460 epoch 62 - iter 265/2650 - loss 0.03648005 - time (sec): 18.29 - samples/sec: 7974.39 - lr: 0.050000 +2023-04-06 08:27:29,255 epoch 62 - iter 530/2650 - loss 0.03649473 - time (sec): 37.08 - samples/sec: 7902.28 - lr: 0.050000 +2023-04-06 08:27:47,552 epoch 62 - iter 795/2650 - loss 0.03668905 - time (sec): 55.38 - samples/sec: 7928.94 - lr: 0.050000 +2023-04-06 08:28:05,978 epoch 62 - iter 1060/2650 - loss 0.03664085 - time (sec): 73.80 - samples/sec: 7945.28 - lr: 0.050000 +2023-04-06 08:28:24,582 epoch 62 - iter 1325/2650 - loss 0.03661351 - time (sec): 92.41 - samples/sec: 7938.56 - lr: 0.050000 +2023-04-06 08:28:42,983 epoch 62 - iter 1590/2650 - loss 0.03664443 - time (sec): 110.81 - samples/sec: 7927.07 - lr: 0.050000 +2023-04-06 08:29:01,280 epoch 62 - iter 1855/2650 - loss 0.03660260 - time (sec): 129.11 - samples/sec: 7931.89 - lr: 0.050000 +2023-04-06 08:29:19,943 epoch 62 - iter 2120/2650 - loss 0.03670882 - time (sec): 147.77 - samples/sec: 7926.28 - lr: 0.050000 +2023-04-06 08:29:38,227 epoch 62 - iter 2385/2650 - loss 0.03663047 - time (sec): 166.05 - samples/sec: 7933.11 - lr: 0.050000 +2023-04-06 08:29:56,708 epoch 62 - iter 2650/2650 - loss 0.03676576 - time (sec): 184.53 - samples/sec: 7924.59 - lr: 0.050000 +2023-04-06 08:29:56,709 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:29:56,709 EPOCH 62 done: loss 0.0368 - lr 0.050000 +2023-04-06 08:29:56,709 BAD EPOCHS (no improvement): 0 +2023-04-06 08:29:56,712 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:30:15,059 epoch 63 - iter 265/2650 - loss 0.03587844 - time (sec): 18.35 - samples/sec: 7958.13 - lr: 0.050000 +2023-04-06 08:30:33,899 epoch 63 - iter 530/2650 - loss 0.03604145 - time (sec): 37.19 - samples/sec: 7902.06 - lr: 0.050000 +2023-04-06 08:30:52,360 epoch 63 - iter 795/2650 - loss 0.03626954 - time (sec): 55.65 - samples/sec: 7919.57 - lr: 0.050000 +2023-04-06 08:31:10,983 epoch 63 - iter 1060/2650 - loss 0.03616809 - time (sec): 74.27 - samples/sec: 7905.43 - lr: 0.050000 +2023-04-06 08:31:29,493 epoch 63 - iter 1325/2650 - loss 0.03643307 - time (sec): 92.78 - samples/sec: 7907.63 - lr: 0.050000 +2023-04-06 08:31:48,546 epoch 63 - iter 1590/2650 - loss 0.03668294 - time (sec): 111.83 - samples/sec: 7869.96 - lr: 0.050000 +2023-04-06 08:32:06,751 epoch 63 - iter 1855/2650 - loss 0.03650228 - time (sec): 130.04 - samples/sec: 7886.77 - lr: 0.050000 +2023-04-06 08:32:24,852 epoch 63 - iter 2120/2650 - loss 0.03643091 - time (sec): 148.14 - samples/sec: 7908.74 - lr: 0.050000 +2023-04-06 08:32:43,235 epoch 63 - iter 2385/2650 - loss 0.03649633 - time (sec): 166.52 - samples/sec: 7905.78 - lr: 0.050000 +2023-04-06 08:33:01,366 epoch 63 - iter 2650/2650 - loss 0.03657186 - time (sec): 184.65 - samples/sec: 7919.45 - lr: 0.050000 +2023-04-06 08:33:01,367 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:33:01,367 EPOCH 63 done: loss 0.0366 - lr 0.050000 +2023-04-06 08:33:01,367 BAD EPOCHS (no improvement): 0 +2023-04-06 08:33:01,374 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:33:19,691 epoch 64 - iter 265/2650 - loss 0.03706833 - time (sec): 18.32 - samples/sec: 7936.82 - lr: 0.050000 +2023-04-06 08:33:37,811 epoch 64 - iter 530/2650 - loss 0.03755918 - time (sec): 36.44 - samples/sec: 7963.78 - lr: 0.050000 +2023-04-06 08:33:55,889 epoch 64 - iter 795/2650 - loss 0.03718159 - time (sec): 54.51 - samples/sec: 7976.12 - lr: 0.050000 +2023-04-06 08:34:14,385 epoch 64 - iter 1060/2650 - loss 0.03682237 - time (sec): 73.01 - samples/sec: 7962.33 - lr: 0.050000 +2023-04-06 08:34:33,002 epoch 64 - iter 1325/2650 - loss 0.03690525 - time (sec): 91.63 - samples/sec: 7953.32 - lr: 0.050000 +2023-04-06 08:34:51,409 epoch 64 - iter 1590/2650 - loss 0.03674728 - time (sec): 110.03 - samples/sec: 7945.46 - lr: 0.050000 +2023-04-06 08:35:09,722 epoch 64 - iter 1855/2650 - loss 0.03670028 - time (sec): 128.35 - samples/sec: 7965.19 - lr: 0.050000 +2023-04-06 08:35:27,737 epoch 64 - iter 2120/2650 - loss 0.03669037 - time (sec): 146.36 - samples/sec: 7978.80 - lr: 0.050000 +2023-04-06 08:35:46,763 epoch 64 - iter 2385/2650 - loss 0.03673285 - time (sec): 165.39 - samples/sec: 7948.64 - lr: 0.050000 +2023-04-06 08:36:05,516 epoch 64 - iter 2650/2650 - loss 0.03684009 - time (sec): 184.14 - samples/sec: 7941.53 - lr: 0.050000 +2023-04-06 08:36:05,516 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:36:05,516 EPOCH 64 done: loss 0.0368 - lr 0.050000 +2023-04-06 08:36:05,516 BAD EPOCHS (no improvement): 1 +2023-04-06 08:36:05,519 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:36:23,629 epoch 65 - iter 265/2650 - loss 0.03635001 - time (sec): 18.11 - samples/sec: 8051.20 - lr: 0.050000 +2023-04-06 08:36:42,094 epoch 65 - iter 530/2650 - loss 0.03614812 - time (sec): 36.58 - samples/sec: 8000.43 - lr: 0.050000 +2023-04-06 08:37:00,547 epoch 65 - iter 795/2650 - loss 0.03601744 - time (sec): 55.03 - samples/sec: 7986.94 - lr: 0.050000 +2023-04-06 08:37:19,438 epoch 65 - iter 1060/2650 - loss 0.03609651 - time (sec): 73.92 - samples/sec: 7946.31 - lr: 0.050000 +2023-04-06 08:37:38,020 epoch 65 - iter 1325/2650 - loss 0.03624251 - time (sec): 92.50 - samples/sec: 7936.37 - lr: 0.050000 +2023-04-06 08:37:56,802 epoch 65 - iter 1590/2650 - loss 0.03620736 - time (sec): 111.28 - samples/sec: 7922.74 - lr: 0.050000 +2023-04-06 08:38:15,079 epoch 65 - iter 1855/2650 - loss 0.03621544 - time (sec): 129.56 - samples/sec: 7917.46 - lr: 0.050000 +2023-04-06 08:38:34,581 epoch 65 - iter 2120/2650 - loss 0.03631300 - time (sec): 149.06 - samples/sec: 7870.26 - lr: 0.050000 +2023-04-06 08:38:53,809 epoch 65 - iter 2385/2650 - loss 0.03625454 - time (sec): 168.29 - samples/sec: 7830.65 - lr: 0.050000 +2023-04-06 08:39:13,232 epoch 65 - iter 2650/2650 - loss 0.03635050 - time (sec): 187.71 - samples/sec: 7790.43 - lr: 0.050000 +2023-04-06 08:39:13,232 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:39:13,232 EPOCH 65 done: loss 0.0364 - lr 0.050000 +2023-04-06 08:39:13,232 BAD EPOCHS (no improvement): 0 +2023-04-06 08:39:13,235 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:39:32,497 epoch 66 - iter 265/2650 - loss 0.03544732 - time (sec): 19.26 - samples/sec: 7574.47 - lr: 0.050000 +2023-04-06 08:39:51,228 epoch 66 - iter 530/2650 - loss 0.03572977 - time (sec): 37.99 - samples/sec: 7723.05 - lr: 0.050000 +2023-04-06 08:40:09,612 epoch 66 - iter 795/2650 - loss 0.03545739 - time (sec): 56.38 - samples/sec: 7822.59 - lr: 0.050000 +2023-04-06 08:40:28,007 epoch 66 - iter 1060/2650 - loss 0.03546893 - time (sec): 74.77 - samples/sec: 7863.52 - lr: 0.050000 +2023-04-06 08:40:46,551 epoch 66 - iter 1325/2650 - loss 0.03556712 - time (sec): 93.32 - samples/sec: 7840.41 - lr: 0.050000 +2023-04-06 08:41:05,016 epoch 66 - iter 1590/2650 - loss 0.03547528 - time (sec): 111.78 - samples/sec: 7852.76 - lr: 0.050000 +2023-04-06 08:41:24,252 epoch 66 - iter 1855/2650 - loss 0.03565681 - time (sec): 131.02 - samples/sec: 7812.36 - lr: 0.050000 +2023-04-06 08:41:42,985 epoch 66 - iter 2120/2650 - loss 0.03574899 - time (sec): 149.75 - samples/sec: 7810.74 - lr: 0.050000 +2023-04-06 08:42:01,278 epoch 66 - iter 2385/2650 - loss 0.03590109 - time (sec): 168.04 - samples/sec: 7828.77 - lr: 0.050000 +2023-04-06 08:42:20,211 epoch 66 - iter 2650/2650 - loss 0.03607360 - time (sec): 186.98 - samples/sec: 7821.14 - lr: 0.050000 +2023-04-06 08:42:20,211 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:42:20,211 EPOCH 66 done: loss 0.0361 - lr 0.050000 +2023-04-06 08:42:20,211 BAD EPOCHS (no improvement): 0 +2023-04-06 08:42:20,214 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:42:39,650 epoch 67 - iter 265/2650 - loss 0.03502976 - time (sec): 19.44 - samples/sec: 7541.18 - lr: 0.050000 +2023-04-06 08:42:58,016 epoch 67 - iter 530/2650 - loss 0.03555262 - time (sec): 37.80 - samples/sec: 7741.18 - lr: 0.050000 +2023-04-06 08:43:16,294 epoch 67 - iter 795/2650 - loss 0.03544218 - time (sec): 56.08 - samples/sec: 7810.51 - lr: 0.050000 +2023-04-06 08:43:35,071 epoch 67 - iter 1060/2650 - loss 0.03546233 - time (sec): 74.86 - samples/sec: 7817.66 - lr: 0.050000 +2023-04-06 08:43:53,338 epoch 67 - iter 1325/2650 - loss 0.03529041 - time (sec): 93.12 - samples/sec: 7843.31 - lr: 0.050000 +2023-04-06 08:44:11,435 epoch 67 - iter 1590/2650 - loss 0.03556601 - time (sec): 111.22 - samples/sec: 7870.09 - lr: 0.050000 +2023-04-06 08:44:30,285 epoch 67 - iter 1855/2650 - loss 0.03578601 - time (sec): 130.07 - samples/sec: 7871.65 - lr: 0.050000 +2023-04-06 08:44:48,925 epoch 67 - iter 2120/2650 - loss 0.03568597 - time (sec): 148.71 - samples/sec: 7865.92 - lr: 0.050000 +2023-04-06 08:45:07,150 epoch 67 - iter 2385/2650 - loss 0.03583832 - time (sec): 166.94 - samples/sec: 7883.25 - lr: 0.050000 +2023-04-06 08:45:25,245 epoch 67 - iter 2650/2650 - loss 0.03584341 - time (sec): 185.03 - samples/sec: 7903.38 - lr: 0.050000 +2023-04-06 08:45:25,245 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:45:25,245 EPOCH 67 done: loss 0.0358 - lr 0.050000 +2023-04-06 08:45:25,245 BAD EPOCHS (no improvement): 0 +2023-04-06 08:45:25,249 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:45:43,583 epoch 68 - iter 265/2650 - loss 0.03412143 - time (sec): 18.33 - samples/sec: 7969.54 - lr: 0.050000 +2023-04-06 08:46:01,902 epoch 68 - iter 530/2650 - loss 0.03546672 - time (sec): 36.65 - samples/sec: 7958.85 - lr: 0.050000 +2023-04-06 08:46:20,608 epoch 68 - iter 795/2650 - loss 0.03524105 - time (sec): 55.36 - samples/sec: 7934.37 - lr: 0.050000 +2023-04-06 08:46:38,732 epoch 68 - iter 1060/2650 - loss 0.03511720 - time (sec): 73.48 - samples/sec: 7979.51 - lr: 0.050000 +2023-04-06 08:46:57,514 epoch 68 - iter 1325/2650 - loss 0.03534079 - time (sec): 92.27 - samples/sec: 7967.23 - lr: 0.050000 +2023-04-06 08:47:16,225 epoch 68 - iter 1590/2650 - loss 0.03555314 - time (sec): 110.98 - samples/sec: 7940.46 - lr: 0.050000 +2023-04-06 08:47:34,143 epoch 68 - iter 1855/2650 - loss 0.03543341 - time (sec): 128.89 - samples/sec: 7959.52 - lr: 0.050000 +2023-04-06 08:47:52,051 epoch 68 - iter 2120/2650 - loss 0.03564632 - time (sec): 146.80 - samples/sec: 7978.36 - lr: 0.050000 +2023-04-06 08:48:10,428 epoch 68 - iter 2385/2650 - loss 0.03545061 - time (sec): 165.18 - samples/sec: 7973.33 - lr: 0.050000 +2023-04-06 08:48:28,694 epoch 68 - iter 2650/2650 - loss 0.03547201 - time (sec): 183.44 - samples/sec: 7971.68 - lr: 0.050000 +2023-04-06 08:48:28,694 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:48:28,694 EPOCH 68 done: loss 0.0355 - lr 0.050000 +2023-04-06 08:48:28,694 BAD EPOCHS (no improvement): 0 +2023-04-06 08:48:28,698 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:48:47,206 epoch 69 - iter 265/2650 - loss 0.03508737 - time (sec): 18.51 - samples/sec: 7901.33 - lr: 0.050000 +2023-04-06 08:49:06,144 epoch 69 - iter 530/2650 - loss 0.03481490 - time (sec): 37.45 - samples/sec: 7834.41 - lr: 0.050000 +2023-04-06 08:49:24,304 epoch 69 - iter 795/2650 - loss 0.03518114 - time (sec): 55.61 - samples/sec: 7921.99 - lr: 0.050000 +2023-04-06 08:49:42,605 epoch 69 - iter 1060/2650 - loss 0.03517075 - time (sec): 73.91 - samples/sec: 7938.92 - lr: 0.050000 +2023-04-06 08:50:00,679 epoch 69 - iter 1325/2650 - loss 0.03541748 - time (sec): 91.98 - samples/sec: 7970.09 - lr: 0.050000 +2023-04-06 08:50:19,092 epoch 69 - iter 1590/2650 - loss 0.03532515 - time (sec): 110.39 - samples/sec: 7976.91 - lr: 0.050000 +2023-04-06 08:50:36,871 epoch 69 - iter 1855/2650 - loss 0.03537381 - time (sec): 128.17 - samples/sec: 7995.46 - lr: 0.050000 +2023-04-06 08:50:54,942 epoch 69 - iter 2120/2650 - loss 0.03525958 - time (sec): 146.24 - samples/sec: 8002.67 - lr: 0.050000 +2023-04-06 08:51:13,154 epoch 69 - iter 2385/2650 - loss 0.03524298 - time (sec): 164.46 - samples/sec: 8013.36 - lr: 0.050000 +2023-04-06 08:51:31,149 epoch 69 - iter 2650/2650 - loss 0.03515726 - time (sec): 182.45 - samples/sec: 8015.07 - lr: 0.050000 +2023-04-06 08:51:31,150 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:51:31,150 EPOCH 69 done: loss 0.0352 - lr 0.050000 +2023-04-06 08:51:31,150 BAD EPOCHS (no improvement): 0 +2023-04-06 08:51:31,153 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:51:49,305 epoch 70 - iter 265/2650 - loss 0.03476939 - time (sec): 18.15 - samples/sec: 8119.74 - lr: 0.050000 +2023-04-06 08:52:07,600 epoch 70 - iter 530/2650 - loss 0.03473854 - time (sec): 36.45 - samples/sec: 8082.29 - lr: 0.050000 +2023-04-06 08:52:25,887 epoch 70 - iter 795/2650 - loss 0.03473109 - time (sec): 54.73 - samples/sec: 8066.52 - lr: 0.050000 +2023-04-06 08:52:44,384 epoch 70 - iter 1060/2650 - loss 0.03484515 - time (sec): 73.23 - samples/sec: 8026.41 - lr: 0.050000 +2023-04-06 08:53:02,237 epoch 70 - iter 1325/2650 - loss 0.03469703 - time (sec): 91.08 - samples/sec: 8040.34 - lr: 0.050000 +2023-04-06 08:53:20,283 epoch 70 - iter 1590/2650 - loss 0.03489442 - time (sec): 109.13 - samples/sec: 8051.13 - lr: 0.050000 +2023-04-06 08:53:38,566 epoch 70 - iter 1855/2650 - loss 0.03490723 - time (sec): 127.41 - samples/sec: 8054.37 - lr: 0.050000 +2023-04-06 08:53:56,418 epoch 70 - iter 2120/2650 - loss 0.03480659 - time (sec): 145.26 - samples/sec: 8068.93 - lr: 0.050000 +2023-04-06 08:54:14,515 epoch 70 - iter 2385/2650 - loss 0.03490544 - time (sec): 163.36 - samples/sec: 8057.86 - lr: 0.050000 +2023-04-06 08:54:33,488 epoch 70 - iter 2650/2650 - loss 0.03485682 - time (sec): 182.34 - samples/sec: 8020.19 - lr: 0.050000 +2023-04-06 08:54:33,488 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:54:33,488 EPOCH 70 done: loss 0.0349 - lr 0.050000 +2023-04-06 08:54:33,488 BAD EPOCHS (no improvement): 0 +2023-04-06 08:54:33,492 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:54:51,849 epoch 71 - iter 265/2650 - loss 0.03522536 - time (sec): 18.36 - samples/sec: 7989.59 - lr: 0.050000 +2023-04-06 08:55:10,136 epoch 71 - iter 530/2650 - loss 0.03473894 - time (sec): 36.64 - samples/sec: 7977.37 - lr: 0.050000 +2023-04-06 08:55:27,926 epoch 71 - iter 795/2650 - loss 0.03482672 - time (sec): 54.43 - samples/sec: 8057.75 - lr: 0.050000 +2023-04-06 08:55:46,217 epoch 71 - iter 1060/2650 - loss 0.03525877 - time (sec): 72.72 - samples/sec: 8042.05 - lr: 0.050000 +2023-04-06 08:56:04,886 epoch 71 - iter 1325/2650 - loss 0.03526755 - time (sec): 91.39 - samples/sec: 7995.04 - lr: 0.050000 +2023-04-06 08:56:23,712 epoch 71 - iter 1590/2650 - loss 0.03548702 - time (sec): 110.22 - samples/sec: 7956.58 - lr: 0.050000 +2023-04-06 08:56:42,091 epoch 71 - iter 1855/2650 - loss 0.03521969 - time (sec): 128.60 - samples/sec: 7954.16 - lr: 0.050000 +2023-04-06 08:57:00,413 epoch 71 - iter 2120/2650 - loss 0.03530901 - time (sec): 146.92 - samples/sec: 7953.94 - lr: 0.050000 +2023-04-06 08:57:19,322 epoch 71 - iter 2385/2650 - loss 0.03532913 - time (sec): 165.83 - samples/sec: 7938.03 - lr: 0.050000 +2023-04-06 08:57:38,675 epoch 71 - iter 2650/2650 - loss 0.03527969 - time (sec): 185.18 - samples/sec: 7896.86 - lr: 0.050000 +2023-04-06 08:57:38,675 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:57:38,675 EPOCH 71 done: loss 0.0353 - lr 0.050000 +2023-04-06 08:57:38,675 BAD EPOCHS (no improvement): 1 +2023-04-06 08:57:38,678 ---------------------------------------------------------------------------------------------------- +2023-04-06 08:57:57,553 epoch 72 - iter 265/2650 - loss 0.03345234 - time (sec): 18.87 - samples/sec: 7833.67 - lr: 0.050000 +2023-04-06 08:58:15,858 epoch 72 - iter 530/2650 - loss 0.03379768 - time (sec): 37.18 - samples/sec: 7884.81 - lr: 0.050000 +2023-04-06 08:58:34,237 epoch 72 - iter 795/2650 - loss 0.03408444 - time (sec): 55.56 - samples/sec: 7933.06 - lr: 0.050000 +2023-04-06 08:58:52,637 epoch 72 - iter 1060/2650 - loss 0.03423549 - time (sec): 73.96 - samples/sec: 7938.81 - lr: 0.050000 +2023-04-06 08:59:10,866 epoch 72 - iter 1325/2650 - loss 0.03458923 - time (sec): 92.19 - samples/sec: 7956.19 - lr: 0.050000 +2023-04-06 08:59:29,334 epoch 72 - iter 1590/2650 - loss 0.03460055 - time (sec): 110.65 - samples/sec: 7954.93 - lr: 0.050000 +2023-04-06 08:59:47,826 epoch 72 - iter 1855/2650 - loss 0.03475157 - time (sec): 129.15 - samples/sec: 7939.87 - lr: 0.050000 +2023-04-06 09:00:05,885 epoch 72 - iter 2120/2650 - loss 0.03473314 - time (sec): 147.21 - samples/sec: 7949.17 - lr: 0.050000 +2023-04-06 09:00:24,434 epoch 72 - iter 2385/2650 - loss 0.03476465 - time (sec): 165.76 - samples/sec: 7941.15 - lr: 0.050000 +2023-04-06 09:00:42,342 epoch 72 - iter 2650/2650 - loss 0.03482905 - time (sec): 183.66 - samples/sec: 7962.19 - lr: 0.050000 +2023-04-06 09:00:42,342 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:00:42,342 EPOCH 72 done: loss 0.0348 - lr 0.050000 +2023-04-06 09:00:42,342 BAD EPOCHS (no improvement): 0 +2023-04-06 09:00:42,346 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:01:00,594 epoch 73 - iter 265/2650 - loss 0.03402814 - time (sec): 18.25 - samples/sec: 7998.24 - lr: 0.050000 +2023-04-06 09:01:18,968 epoch 73 - iter 530/2650 - loss 0.03313738 - time (sec): 36.62 - samples/sec: 8006.18 - lr: 0.050000 +2023-04-06 09:01:37,329 epoch 73 - iter 795/2650 - loss 0.03313602 - time (sec): 54.98 - samples/sec: 7982.36 - lr: 0.050000 +2023-04-06 09:01:55,820 epoch 73 - iter 1060/2650 - loss 0.03369596 - time (sec): 73.47 - samples/sec: 7958.29 - lr: 0.050000 +2023-04-06 09:02:14,131 epoch 73 - iter 1325/2650 - loss 0.03344482 - time (sec): 91.79 - samples/sec: 7972.26 - lr: 0.050000 +2023-04-06 09:02:32,443 epoch 73 - iter 1590/2650 - loss 0.03361579 - time (sec): 110.10 - samples/sec: 7973.73 - lr: 0.050000 +2023-04-06 09:02:51,032 epoch 73 - iter 1855/2650 - loss 0.03396642 - time (sec): 128.69 - samples/sec: 7955.15 - lr: 0.050000 +2023-04-06 09:03:09,746 epoch 73 - iter 2120/2650 - loss 0.03400095 - time (sec): 147.40 - samples/sec: 7940.02 - lr: 0.050000 +2023-04-06 09:03:28,887 epoch 73 - iter 2385/2650 - loss 0.03394283 - time (sec): 166.54 - samples/sec: 7905.35 - lr: 0.050000 +2023-04-06 09:03:47,442 epoch 73 - iter 2650/2650 - loss 0.03408357 - time (sec): 185.10 - samples/sec: 7900.55 - lr: 0.050000 +2023-04-06 09:03:47,442 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:03:47,442 EPOCH 73 done: loss 0.0341 - lr 0.050000 +2023-04-06 09:03:47,443 BAD EPOCHS (no improvement): 0 +2023-04-06 09:03:47,447 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:04:06,213 epoch 74 - iter 265/2650 - loss 0.03443911 - time (sec): 18.77 - samples/sec: 7900.30 - lr: 0.050000 +2023-04-06 09:04:24,235 epoch 74 - iter 530/2650 - loss 0.03503425 - time (sec): 36.79 - samples/sec: 7932.38 - lr: 0.050000 +2023-04-06 09:04:42,658 epoch 74 - iter 795/2650 - loss 0.03462991 - time (sec): 55.21 - samples/sec: 7961.50 - lr: 0.050000 +2023-04-06 09:05:01,504 epoch 74 - iter 1060/2650 - loss 0.03433172 - time (sec): 74.06 - samples/sec: 7914.64 - lr: 0.050000 +2023-04-06 09:05:20,197 epoch 74 - iter 1325/2650 - loss 0.03435563 - time (sec): 92.75 - samples/sec: 7885.00 - lr: 0.050000 +2023-04-06 09:05:39,063 epoch 74 - iter 1590/2650 - loss 0.03431365 - time (sec): 111.62 - samples/sec: 7850.98 - lr: 0.050000 +2023-04-06 09:05:59,828 epoch 74 - iter 1855/2650 - loss 0.03409831 - time (sec): 132.38 - samples/sec: 7737.78 - lr: 0.050000 +2023-04-06 09:06:18,884 epoch 74 - iter 2120/2650 - loss 0.03423670 - time (sec): 151.44 - samples/sec: 7715.28 - lr: 0.050000 +2023-04-06 09:06:37,590 epoch 74 - iter 2385/2650 - loss 0.03446479 - time (sec): 170.14 - samples/sec: 7728.32 - lr: 0.050000 +2023-04-06 09:06:56,613 epoch 74 - iter 2650/2650 - loss 0.03450510 - time (sec): 189.17 - samples/sec: 7730.59 - lr: 0.050000 +2023-04-06 09:06:56,613 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:06:56,613 EPOCH 74 done: loss 0.0345 - lr 0.050000 +2023-04-06 09:06:56,613 BAD EPOCHS (no improvement): 1 +2023-04-06 09:06:56,617 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:07:14,875 epoch 75 - iter 265/2650 - loss 0.03265029 - time (sec): 18.26 - samples/sec: 7985.09 - lr: 0.050000 +2023-04-06 09:07:33,581 epoch 75 - iter 530/2650 - loss 0.03362194 - time (sec): 36.96 - samples/sec: 7959.17 - lr: 0.050000 +2023-04-06 09:07:53,215 epoch 75 - iter 795/2650 - loss 0.03399037 - time (sec): 56.60 - samples/sec: 7764.31 - lr: 0.050000 +2023-04-06 09:08:11,666 epoch 75 - iter 1060/2650 - loss 0.03392145 - time (sec): 75.05 - samples/sec: 7781.86 - lr: 0.050000 +2023-04-06 09:08:31,387 epoch 75 - iter 1325/2650 - loss 0.03393355 - time (sec): 94.77 - samples/sec: 7692.54 - lr: 0.050000 +2023-04-06 09:08:49,891 epoch 75 - iter 1590/2650 - loss 0.03402442 - time (sec): 113.27 - samples/sec: 7736.46 - lr: 0.050000 +2023-04-06 09:09:09,738 epoch 75 - iter 1855/2650 - loss 0.03419250 - time (sec): 133.12 - samples/sec: 7683.74 - lr: 0.050000 +2023-04-06 09:09:27,886 epoch 75 - iter 2120/2650 - loss 0.03431212 - time (sec): 151.27 - samples/sec: 7722.66 - lr: 0.050000 +2023-04-06 09:09:47,733 epoch 75 - iter 2385/2650 - loss 0.03427570 - time (sec): 171.12 - samples/sec: 7685.52 - lr: 0.050000 +2023-04-06 09:10:06,189 epoch 75 - iter 2650/2650 - loss 0.03447008 - time (sec): 189.57 - samples/sec: 7714.04 - lr: 0.050000 +2023-04-06 09:10:06,189 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:10:06,189 EPOCH 75 done: loss 0.0345 - lr 0.050000 +2023-04-06 09:10:06,189 BAD EPOCHS (no improvement): 2 +2023-04-06 09:10:06,192 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:10:24,448 epoch 76 - iter 265/2650 - loss 0.03380093 - time (sec): 18.26 - samples/sec: 7970.67 - lr: 0.050000 +2023-04-06 09:10:42,466 epoch 76 - iter 530/2650 - loss 0.03380657 - time (sec): 36.27 - samples/sec: 8018.75 - lr: 0.050000 +2023-04-06 09:11:00,587 epoch 76 - iter 795/2650 - loss 0.03401981 - time (sec): 54.40 - samples/sec: 8061.68 - lr: 0.050000 +2023-04-06 09:11:18,803 epoch 76 - iter 1060/2650 - loss 0.03405491 - time (sec): 72.61 - samples/sec: 8029.48 - lr: 0.050000 +2023-04-06 09:11:37,339 epoch 76 - iter 1325/2650 - loss 0.03416638 - time (sec): 91.15 - samples/sec: 8017.83 - lr: 0.050000 +2023-04-06 09:11:56,073 epoch 76 - iter 1590/2650 - loss 0.03439098 - time (sec): 109.88 - samples/sec: 8004.14 - lr: 0.050000 +2023-04-06 09:12:14,677 epoch 76 - iter 1855/2650 - loss 0.03431106 - time (sec): 128.49 - samples/sec: 7994.08 - lr: 0.050000 +2023-04-06 09:12:33,319 epoch 76 - iter 2120/2650 - loss 0.03433939 - time (sec): 147.13 - samples/sec: 7964.39 - lr: 0.050000 +2023-04-06 09:12:51,987 epoch 76 - iter 2385/2650 - loss 0.03439578 - time (sec): 165.79 - samples/sec: 7941.39 - lr: 0.050000 +2023-04-06 09:13:11,924 epoch 76 - iter 2650/2650 - loss 0.03452267 - time (sec): 185.73 - samples/sec: 7873.54 - lr: 0.050000 +2023-04-06 09:13:11,924 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:13:11,924 EPOCH 76 done: loss 0.0345 - lr 0.050000 +2023-04-06 09:13:11,924 BAD EPOCHS (no improvement): 3 +2023-04-06 09:13:11,927 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:13:30,412 epoch 77 - iter 265/2650 - loss 0.03406618 - time (sec): 18.48 - samples/sec: 7832.87 - lr: 0.050000 +2023-04-06 09:13:49,386 epoch 77 - iter 530/2650 - loss 0.03365991 - time (sec): 37.46 - samples/sec: 7782.33 - lr: 0.050000 +2023-04-06 09:14:08,682 epoch 77 - iter 795/2650 - loss 0.03344780 - time (sec): 56.75 - samples/sec: 7723.00 - lr: 0.050000 +2023-04-06 09:14:27,308 epoch 77 - iter 1060/2650 - loss 0.03346557 - time (sec): 75.38 - samples/sec: 7767.31 - lr: 0.050000 +2023-04-06 09:14:46,103 epoch 77 - iter 1325/2650 - loss 0.03384522 - time (sec): 94.18 - samples/sec: 7770.79 - lr: 0.050000 +2023-04-06 09:15:04,625 epoch 77 - iter 1590/2650 - loss 0.03394696 - time (sec): 112.70 - samples/sec: 7784.16 - lr: 0.050000 +2023-04-06 09:15:23,293 epoch 77 - iter 1855/2650 - loss 0.03402563 - time (sec): 131.37 - samples/sec: 7798.42 - lr: 0.050000 +2023-04-06 09:15:41,853 epoch 77 - iter 2120/2650 - loss 0.03403879 - time (sec): 149.93 - samples/sec: 7804.01 - lr: 0.050000 +2023-04-06 09:15:59,904 epoch 77 - iter 2385/2650 - loss 0.03424196 - time (sec): 167.98 - samples/sec: 7829.91 - lr: 0.050000 +2023-04-06 09:16:18,865 epoch 77 - iter 2650/2650 - loss 0.03408478 - time (sec): 186.94 - samples/sec: 7822.72 - lr: 0.050000 +2023-04-06 09:16:18,866 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:16:18,866 EPOCH 77 done: loss 0.0341 - lr 0.050000 +2023-04-06 09:16:18,866 Epoch 77: reducing learning rate of group 0 to 2.5000e-02. +2023-04-06 09:16:18,866 BAD EPOCHS (no improvement): 4 +2023-04-06 09:16:18,869 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:16:37,446 epoch 78 - iter 265/2650 - loss 0.03447249 - time (sec): 18.58 - samples/sec: 7897.46 - lr: 0.025000 +2023-04-06 09:16:55,852 epoch 78 - iter 530/2650 - loss 0.03400949 - time (sec): 36.98 - samples/sec: 7926.20 - lr: 0.025000 +2023-04-06 09:17:14,294 epoch 78 - iter 795/2650 - loss 0.03400474 - time (sec): 55.43 - samples/sec: 7920.35 - lr: 0.025000 +2023-04-06 09:17:32,913 epoch 78 - iter 1060/2650 - loss 0.03374163 - time (sec): 74.04 - samples/sec: 7903.69 - lr: 0.025000 +2023-04-06 09:17:50,942 epoch 78 - iter 1325/2650 - loss 0.03372852 - time (sec): 92.07 - samples/sec: 7943.15 - lr: 0.025000 +2023-04-06 09:18:09,372 epoch 78 - iter 1590/2650 - loss 0.03360985 - time (sec): 110.50 - samples/sec: 7941.66 - lr: 0.025000 +2023-04-06 09:18:27,383 epoch 78 - iter 1855/2650 - loss 0.03345230 - time (sec): 128.51 - samples/sec: 7959.21 - lr: 0.025000 +2023-04-06 09:18:46,329 epoch 78 - iter 2120/2650 - loss 0.03346955 - time (sec): 147.46 - samples/sec: 7939.64 - lr: 0.025000 +2023-04-06 09:19:04,539 epoch 78 - iter 2385/2650 - loss 0.03344710 - time (sec): 165.67 - samples/sec: 7941.78 - lr: 0.025000 +2023-04-06 09:19:22,697 epoch 78 - iter 2650/2650 - loss 0.03338020 - time (sec): 183.83 - samples/sec: 7955.06 - lr: 0.025000 +2023-04-06 09:19:22,697 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:19:22,697 EPOCH 78 done: loss 0.0334 - lr 0.025000 +2023-04-06 09:19:22,697 BAD EPOCHS (no improvement): 0 +2023-04-06 09:19:22,701 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:19:40,703 epoch 79 - iter 265/2650 - loss 0.03348908 - time (sec): 18.00 - samples/sec: 8152.36 - lr: 0.025000 +2023-04-06 09:19:58,520 epoch 79 - iter 530/2650 - loss 0.03287950 - time (sec): 35.82 - samples/sec: 8105.59 - lr: 0.025000 +2023-04-06 09:20:17,141 epoch 79 - iter 795/2650 - loss 0.03280051 - time (sec): 54.44 - samples/sec: 8038.34 - lr: 0.025000 +2023-04-06 09:20:35,279 epoch 79 - iter 1060/2650 - loss 0.03261065 - time (sec): 72.58 - samples/sec: 8032.22 - lr: 0.025000 +2023-04-06 09:20:53,521 epoch 79 - iter 1325/2650 - loss 0.03241404 - time (sec): 90.82 - samples/sec: 8016.54 - lr: 0.025000 +2023-04-06 09:21:11,864 epoch 79 - iter 1590/2650 - loss 0.03238196 - time (sec): 109.16 - samples/sec: 8006.42 - lr: 0.025000 +2023-04-06 09:21:30,060 epoch 79 - iter 1855/2650 - loss 0.03229641 - time (sec): 127.36 - samples/sec: 8029.83 - lr: 0.025000 +2023-04-06 09:21:47,811 epoch 79 - iter 2120/2650 - loss 0.03245474 - time (sec): 145.11 - samples/sec: 8045.32 - lr: 0.025000 +2023-04-06 09:22:06,164 epoch 79 - iter 2385/2650 - loss 0.03244314 - time (sec): 163.46 - samples/sec: 8039.91 - lr: 0.025000 +2023-04-06 09:22:24,280 epoch 79 - iter 2650/2650 - loss 0.03242759 - time (sec): 181.58 - samples/sec: 8053.57 - lr: 0.025000 +2023-04-06 09:22:24,280 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:22:24,280 EPOCH 79 done: loss 0.0324 - lr 0.025000 +2023-04-06 09:22:24,281 BAD EPOCHS (no improvement): 0 +2023-04-06 09:22:24,284 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:22:42,772 epoch 80 - iter 265/2650 - loss 0.03294178 - time (sec): 18.49 - samples/sec: 7821.72 - lr: 0.025000 +2023-04-06 09:23:00,727 epoch 80 - iter 530/2650 - loss 0.03265089 - time (sec): 36.44 - samples/sec: 7939.86 - lr: 0.025000 +2023-04-06 09:23:19,120 epoch 80 - iter 795/2650 - loss 0.03186263 - time (sec): 54.84 - samples/sec: 7956.55 - lr: 0.025000 +2023-04-06 09:23:37,507 epoch 80 - iter 1060/2650 - loss 0.03216290 - time (sec): 73.22 - samples/sec: 7965.32 - lr: 0.025000 +2023-04-06 09:23:55,759 epoch 80 - iter 1325/2650 - loss 0.03241497 - time (sec): 91.48 - samples/sec: 7965.63 - lr: 0.025000 +2023-04-06 09:24:14,427 epoch 80 - iter 1590/2650 - loss 0.03238240 - time (sec): 110.14 - samples/sec: 7942.77 - lr: 0.025000 +2023-04-06 09:24:33,108 epoch 80 - iter 1855/2650 - loss 0.03237858 - time (sec): 128.82 - samples/sec: 7926.13 - lr: 0.025000 +2023-04-06 09:24:51,608 epoch 80 - iter 2120/2650 - loss 0.03224237 - time (sec): 147.32 - samples/sec: 7924.30 - lr: 0.025000 +2023-04-06 09:25:10,702 epoch 80 - iter 2385/2650 - loss 0.03235970 - time (sec): 166.42 - samples/sec: 7907.10 - lr: 0.025000 +2023-04-06 09:25:29,047 epoch 80 - iter 2650/2650 - loss 0.03232011 - time (sec): 184.76 - samples/sec: 7914.81 - lr: 0.025000 +2023-04-06 09:25:29,047 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:25:29,047 EPOCH 80 done: loss 0.0323 - lr 0.025000 +2023-04-06 09:25:29,047 BAD EPOCHS (no improvement): 0 +2023-04-06 09:25:29,051 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:25:47,280 epoch 81 - iter 265/2650 - loss 0.03092679 - time (sec): 18.23 - samples/sec: 8012.03 - lr: 0.025000 +2023-04-06 09:26:05,378 epoch 81 - iter 530/2650 - loss 0.03160487 - time (sec): 36.33 - samples/sec: 8088.69 - lr: 0.025000 +2023-04-06 09:26:23,598 epoch 81 - iter 795/2650 - loss 0.03161915 - time (sec): 54.55 - samples/sec: 8082.48 - lr: 0.025000 +2023-04-06 09:26:41,676 epoch 81 - iter 1060/2650 - loss 0.03179431 - time (sec): 72.62 - samples/sec: 8081.20 - lr: 0.025000 +2023-04-06 09:27:00,204 epoch 81 - iter 1325/2650 - loss 0.03178664 - time (sec): 91.15 - samples/sec: 8063.40 - lr: 0.025000 +2023-04-06 09:27:18,841 epoch 81 - iter 1590/2650 - loss 0.03158232 - time (sec): 109.79 - samples/sec: 8033.13 - lr: 0.025000 +2023-04-06 09:27:37,198 epoch 81 - iter 1855/2650 - loss 0.03174525 - time (sec): 128.15 - samples/sec: 8014.85 - lr: 0.025000 +2023-04-06 09:27:55,852 epoch 81 - iter 2120/2650 - loss 0.03169177 - time (sec): 146.80 - samples/sec: 7990.08 - lr: 0.025000 +2023-04-06 09:28:14,231 epoch 81 - iter 2385/2650 - loss 0.03183817 - time (sec): 165.18 - samples/sec: 7973.62 - lr: 0.025000 +2023-04-06 09:28:32,808 epoch 81 - iter 2650/2650 - loss 0.03168019 - time (sec): 183.76 - samples/sec: 7958.13 - lr: 0.025000 +2023-04-06 09:28:32,808 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:28:32,808 EPOCH 81 done: loss 0.0317 - lr 0.025000 +2023-04-06 09:28:32,808 BAD EPOCHS (no improvement): 0 +2023-04-06 09:28:32,811 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:28:51,578 epoch 82 - iter 265/2650 - loss 0.03154434 - time (sec): 18.77 - samples/sec: 7739.73 - lr: 0.025000 +2023-04-06 09:29:09,901 epoch 82 - iter 530/2650 - loss 0.03166951 - time (sec): 37.09 - samples/sec: 7843.02 - lr: 0.025000 +2023-04-06 09:29:28,648 epoch 82 - iter 795/2650 - loss 0.03118984 - time (sec): 55.84 - samples/sec: 7866.50 - lr: 0.025000 +2023-04-06 09:29:47,133 epoch 82 - iter 1060/2650 - loss 0.03093947 - time (sec): 74.32 - samples/sec: 7874.65 - lr: 0.025000 +2023-04-06 09:30:05,307 epoch 82 - iter 1325/2650 - loss 0.03106307 - time (sec): 92.50 - samples/sec: 7885.18 - lr: 0.025000 +2023-04-06 09:30:23,999 epoch 82 - iter 1590/2650 - loss 0.03124692 - time (sec): 111.19 - samples/sec: 7870.67 - lr: 0.025000 +2023-04-06 09:30:43,238 epoch 82 - iter 1855/2650 - loss 0.03136789 - time (sec): 130.43 - samples/sec: 7853.14 - lr: 0.025000 +2023-04-06 09:31:01,484 epoch 82 - iter 2120/2650 - loss 0.03143721 - time (sec): 148.67 - samples/sec: 7845.00 - lr: 0.025000 +2023-04-06 09:31:20,520 epoch 82 - iter 2385/2650 - loss 0.03163465 - time (sec): 167.71 - samples/sec: 7850.59 - lr: 0.025000 +2023-04-06 09:31:38,701 epoch 82 - iter 2650/2650 - loss 0.03163665 - time (sec): 185.89 - samples/sec: 7866.79 - lr: 0.025000 +2023-04-06 09:31:38,702 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:31:38,702 EPOCH 82 done: loss 0.0316 - lr 0.025000 +2023-04-06 09:31:38,702 BAD EPOCHS (no improvement): 0 +2023-04-06 09:31:38,705 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:31:56,901 epoch 83 - iter 265/2650 - loss 0.03082133 - time (sec): 18.20 - samples/sec: 8070.46 - lr: 0.025000 +2023-04-06 09:32:15,197 epoch 83 - iter 530/2650 - loss 0.03184642 - time (sec): 36.49 - samples/sec: 8030.09 - lr: 0.025000 +2023-04-06 09:32:33,681 epoch 83 - iter 795/2650 - loss 0.03171315 - time (sec): 54.98 - samples/sec: 8012.28 - lr: 0.025000 +2023-04-06 09:32:51,964 epoch 83 - iter 1060/2650 - loss 0.03159024 - time (sec): 73.26 - samples/sec: 8040.34 - lr: 0.025000 +2023-04-06 09:33:10,135 epoch 83 - iter 1325/2650 - loss 0.03163975 - time (sec): 91.43 - samples/sec: 8035.06 - lr: 0.025000 +2023-04-06 09:33:28,569 epoch 83 - iter 1590/2650 - loss 0.03142994 - time (sec): 109.86 - samples/sec: 8016.87 - lr: 0.025000 +2023-04-06 09:33:47,055 epoch 83 - iter 1855/2650 - loss 0.03144163 - time (sec): 128.35 - samples/sec: 8005.47 - lr: 0.025000 +2023-04-06 09:34:04,669 epoch 83 - iter 2120/2650 - loss 0.03142107 - time (sec): 145.96 - samples/sec: 8024.73 - lr: 0.025000 +2023-04-06 09:34:22,886 epoch 83 - iter 2385/2650 - loss 0.03151275 - time (sec): 164.18 - samples/sec: 8013.49 - lr: 0.025000 +2023-04-06 09:34:41,641 epoch 83 - iter 2650/2650 - loss 0.03147094 - time (sec): 182.94 - samples/sec: 7993.85 - lr: 0.025000 +2023-04-06 09:34:41,641 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:34:41,641 EPOCH 83 done: loss 0.0315 - lr 0.025000 +2023-04-06 09:34:41,641 BAD EPOCHS (no improvement): 0 +2023-04-06 09:34:41,644 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:35:00,060 epoch 84 - iter 265/2650 - loss 0.03032183 - time (sec): 18.42 - samples/sec: 7931.04 - lr: 0.025000 +2023-04-06 09:35:18,703 epoch 84 - iter 530/2650 - loss 0.03136716 - time (sec): 37.06 - samples/sec: 7899.65 - lr: 0.025000 +2023-04-06 09:35:37,174 epoch 84 - iter 795/2650 - loss 0.03128783 - time (sec): 55.53 - samples/sec: 7945.84 - lr: 0.025000 +2023-04-06 09:35:55,558 epoch 84 - iter 1060/2650 - loss 0.03123678 - time (sec): 73.91 - samples/sec: 7964.68 - lr: 0.025000 +2023-04-06 09:36:14,386 epoch 84 - iter 1325/2650 - loss 0.03122624 - time (sec): 92.74 - samples/sec: 7926.55 - lr: 0.025000 +2023-04-06 09:36:32,247 epoch 84 - iter 1590/2650 - loss 0.03104300 - time (sec): 110.60 - samples/sec: 7954.32 - lr: 0.025000 +2023-04-06 09:36:50,583 epoch 84 - iter 1855/2650 - loss 0.03107409 - time (sec): 128.94 - samples/sec: 7963.12 - lr: 0.025000 +2023-04-06 09:37:08,983 epoch 84 - iter 2120/2650 - loss 0.03117841 - time (sec): 147.34 - samples/sec: 7962.72 - lr: 0.025000 +2023-04-06 09:37:27,179 epoch 84 - iter 2385/2650 - loss 0.03117395 - time (sec): 165.54 - samples/sec: 7958.67 - lr: 0.025000 +2023-04-06 09:37:45,465 epoch 84 - iter 2650/2650 - loss 0.03111473 - time (sec): 183.82 - samples/sec: 7955.35 - lr: 0.025000 +2023-04-06 09:37:45,465 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:37:45,465 EPOCH 84 done: loss 0.0311 - lr 0.025000 +2023-04-06 09:37:45,465 BAD EPOCHS (no improvement): 0 +2023-04-06 09:37:45,468 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:38:04,353 epoch 85 - iter 265/2650 - loss 0.03018813 - time (sec): 18.88 - samples/sec: 7844.65 - lr: 0.025000 +2023-04-06 09:38:22,388 epoch 85 - iter 530/2650 - loss 0.03047344 - time (sec): 36.92 - samples/sec: 7988.52 - lr: 0.025000 +2023-04-06 09:38:40,509 epoch 85 - iter 795/2650 - loss 0.03089773 - time (sec): 55.04 - samples/sec: 7998.20 - lr: 0.025000 +2023-04-06 09:38:58,892 epoch 85 - iter 1060/2650 - loss 0.03080456 - time (sec): 73.42 - samples/sec: 7990.87 - lr: 0.025000 +2023-04-06 09:39:17,209 epoch 85 - iter 1325/2650 - loss 0.03094171 - time (sec): 91.74 - samples/sec: 7974.39 - lr: 0.025000 +2023-04-06 09:39:35,881 epoch 85 - iter 1590/2650 - loss 0.03090591 - time (sec): 110.41 - samples/sec: 7956.40 - lr: 0.025000 +2023-04-06 09:39:54,724 epoch 85 - iter 1855/2650 - loss 0.03100766 - time (sec): 129.26 - samples/sec: 7935.30 - lr: 0.025000 +2023-04-06 09:40:12,952 epoch 85 - iter 2120/2650 - loss 0.03112836 - time (sec): 147.48 - samples/sec: 7947.44 - lr: 0.025000 +2023-04-06 09:40:31,066 epoch 85 - iter 2385/2650 - loss 0.03119593 - time (sec): 165.60 - samples/sec: 7955.34 - lr: 0.025000 +2023-04-06 09:40:49,165 epoch 85 - iter 2650/2650 - loss 0.03130380 - time (sec): 183.70 - samples/sec: 7960.71 - lr: 0.025000 +2023-04-06 09:40:49,166 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:40:49,166 EPOCH 85 done: loss 0.0313 - lr 0.025000 +2023-04-06 09:40:49,166 BAD EPOCHS (no improvement): 1 +2023-04-06 09:40:49,169 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:41:07,113 epoch 86 - iter 265/2650 - loss 0.03069412 - time (sec): 17.94 - samples/sec: 8062.32 - lr: 0.025000 +2023-04-06 09:41:25,573 epoch 86 - iter 530/2650 - loss 0.03035511 - time (sec): 36.40 - samples/sec: 8012.60 - lr: 0.025000 +2023-04-06 09:41:43,728 epoch 86 - iter 795/2650 - loss 0.03044105 - time (sec): 54.56 - samples/sec: 8025.08 - lr: 0.025000 +2023-04-06 09:42:02,134 epoch 86 - iter 1060/2650 - loss 0.03041735 - time (sec): 72.97 - samples/sec: 8009.60 - lr: 0.025000 +2023-04-06 09:42:20,336 epoch 86 - iter 1325/2650 - loss 0.03070927 - time (sec): 91.17 - samples/sec: 7999.27 - lr: 0.025000 +2023-04-06 09:42:38,860 epoch 86 - iter 1590/2650 - loss 0.03062484 - time (sec): 109.69 - samples/sec: 7994.11 - lr: 0.025000 +2023-04-06 09:42:56,806 epoch 86 - iter 1855/2650 - loss 0.03059316 - time (sec): 127.64 - samples/sec: 8011.38 - lr: 0.025000 +2023-04-06 09:43:15,111 epoch 86 - iter 2120/2650 - loss 0.03073718 - time (sec): 145.94 - samples/sec: 8016.34 - lr: 0.025000 +2023-04-06 09:43:33,146 epoch 86 - iter 2385/2650 - loss 0.03092875 - time (sec): 163.98 - samples/sec: 8026.55 - lr: 0.025000 +2023-04-06 09:43:51,828 epoch 86 - iter 2650/2650 - loss 0.03099146 - time (sec): 182.66 - samples/sec: 8005.94 - lr: 0.025000 +2023-04-06 09:43:51,829 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:43:51,829 EPOCH 86 done: loss 0.0310 - lr 0.025000 +2023-04-06 09:43:51,829 BAD EPOCHS (no improvement): 0 +2023-04-06 09:43:51,832 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:44:10,378 epoch 87 - iter 265/2650 - loss 0.03203710 - time (sec): 18.55 - samples/sec: 7828.45 - lr: 0.025000 +2023-04-06 09:44:29,226 epoch 87 - iter 530/2650 - loss 0.03149645 - time (sec): 37.39 - samples/sec: 7817.08 - lr: 0.025000 +2023-04-06 09:44:47,819 epoch 87 - iter 795/2650 - loss 0.03087534 - time (sec): 55.99 - samples/sec: 7836.83 - lr: 0.025000 +2023-04-06 09:45:06,463 epoch 87 - iter 1060/2650 - loss 0.03114811 - time (sec): 74.63 - samples/sec: 7865.44 - lr: 0.025000 +2023-04-06 09:45:24,345 epoch 87 - iter 1325/2650 - loss 0.03122279 - time (sec): 92.51 - samples/sec: 7898.80 - lr: 0.025000 +2023-04-06 09:45:42,345 epoch 87 - iter 1590/2650 - loss 0.03132279 - time (sec): 110.51 - samples/sec: 7922.61 - lr: 0.025000 +2023-04-06 09:46:00,763 epoch 87 - iter 1855/2650 - loss 0.03132212 - time (sec): 128.93 - samples/sec: 7932.51 - lr: 0.025000 +2023-04-06 09:46:19,543 epoch 87 - iter 2120/2650 - loss 0.03117344 - time (sec): 147.71 - samples/sec: 7927.24 - lr: 0.025000 +2023-04-06 09:46:37,947 epoch 87 - iter 2385/2650 - loss 0.03109555 - time (sec): 166.12 - samples/sec: 7920.89 - lr: 0.025000 +2023-04-06 09:46:56,430 epoch 87 - iter 2650/2650 - loss 0.03109712 - time (sec): 184.60 - samples/sec: 7921.89 - lr: 0.025000 +2023-04-06 09:46:56,430 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:46:56,430 EPOCH 87 done: loss 0.0311 - lr 0.025000 +2023-04-06 09:46:56,430 BAD EPOCHS (no improvement): 1 +2023-04-06 09:46:56,433 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:47:14,270 epoch 88 - iter 265/2650 - loss 0.03025468 - time (sec): 17.84 - samples/sec: 8079.90 - lr: 0.025000 +2023-04-06 09:47:32,646 epoch 88 - iter 530/2650 - loss 0.03041313 - time (sec): 36.21 - samples/sec: 8043.12 - lr: 0.025000 +2023-04-06 09:47:51,344 epoch 88 - iter 795/2650 - loss 0.03060392 - time (sec): 54.91 - samples/sec: 7959.15 - lr: 0.025000 +2023-04-06 09:48:10,211 epoch 88 - iter 1060/2650 - loss 0.03095930 - time (sec): 73.78 - samples/sec: 7905.49 - lr: 0.025000 +2023-04-06 09:48:28,419 epoch 88 - iter 1325/2650 - loss 0.03080838 - time (sec): 91.99 - samples/sec: 7943.99 - lr: 0.025000 +2023-04-06 09:48:46,683 epoch 88 - iter 1590/2650 - loss 0.03076990 - time (sec): 110.25 - samples/sec: 7940.11 - lr: 0.025000 +2023-04-06 09:49:04,960 epoch 88 - iter 1855/2650 - loss 0.03068172 - time (sec): 128.53 - samples/sec: 7950.41 - lr: 0.025000 +2023-04-06 09:49:23,237 epoch 88 - iter 2120/2650 - loss 0.03069846 - time (sec): 146.80 - samples/sec: 7955.06 - lr: 0.025000 +2023-04-06 09:49:41,379 epoch 88 - iter 2385/2650 - loss 0.03069917 - time (sec): 164.95 - samples/sec: 7973.33 - lr: 0.025000 +2023-04-06 09:50:00,347 epoch 88 - iter 2650/2650 - loss 0.03076820 - time (sec): 183.91 - samples/sec: 7951.34 - lr: 0.025000 +2023-04-06 09:50:00,347 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:50:00,347 EPOCH 88 done: loss 0.0308 - lr 0.025000 +2023-04-06 09:50:00,348 BAD EPOCHS (no improvement): 0 +2023-04-06 09:50:00,350 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:50:18,716 epoch 89 - iter 265/2650 - loss 0.03060707 - time (sec): 18.37 - samples/sec: 7897.30 - lr: 0.025000 +2023-04-06 09:50:36,816 epoch 89 - iter 530/2650 - loss 0.03026629 - time (sec): 36.47 - samples/sec: 8017.26 - lr: 0.025000 +2023-04-06 09:50:55,287 epoch 89 - iter 795/2650 - loss 0.03048645 - time (sec): 54.94 - samples/sec: 8002.36 - lr: 0.025000 +2023-04-06 09:51:13,490 epoch 89 - iter 1060/2650 - loss 0.03042853 - time (sec): 73.14 - samples/sec: 8016.25 - lr: 0.025000 +2023-04-06 09:51:31,422 epoch 89 - iter 1325/2650 - loss 0.03034908 - time (sec): 91.07 - samples/sec: 8037.67 - lr: 0.025000 +2023-04-06 09:51:49,206 epoch 89 - iter 1590/2650 - loss 0.03016823 - time (sec): 108.86 - samples/sec: 8053.48 - lr: 0.025000 +2023-04-06 09:52:07,773 epoch 89 - iter 1855/2650 - loss 0.03026907 - time (sec): 127.42 - samples/sec: 8044.02 - lr: 0.025000 +2023-04-06 09:52:26,137 epoch 89 - iter 2120/2650 - loss 0.03031615 - time (sec): 145.79 - samples/sec: 8041.58 - lr: 0.025000 +2023-04-06 09:52:44,268 epoch 89 - iter 2385/2650 - loss 0.03039435 - time (sec): 163.92 - samples/sec: 8035.62 - lr: 0.025000 +2023-04-06 09:53:02,636 epoch 89 - iter 2650/2650 - loss 0.03048947 - time (sec): 182.29 - samples/sec: 8022.34 - lr: 0.025000 +2023-04-06 09:53:02,637 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:53:02,637 EPOCH 89 done: loss 0.0305 - lr 0.025000 +2023-04-06 09:53:02,637 BAD EPOCHS (no improvement): 0 +2023-04-06 09:53:02,641 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:53:21,016 epoch 90 - iter 265/2650 - loss 0.02999573 - time (sec): 18.37 - samples/sec: 7931.17 - lr: 0.025000 +2023-04-06 09:53:39,115 epoch 90 - iter 530/2650 - loss 0.02971504 - time (sec): 36.47 - samples/sec: 8008.21 - lr: 0.025000 +2023-04-06 09:53:57,282 epoch 90 - iter 795/2650 - loss 0.02995024 - time (sec): 54.64 - samples/sec: 8019.35 - lr: 0.025000 +2023-04-06 09:54:15,367 epoch 90 - iter 1060/2650 - loss 0.02994512 - time (sec): 72.73 - samples/sec: 8021.31 - lr: 0.025000 +2023-04-06 09:54:33,980 epoch 90 - iter 1325/2650 - loss 0.02990897 - time (sec): 91.34 - samples/sec: 8008.57 - lr: 0.025000 +2023-04-06 09:54:52,298 epoch 90 - iter 1590/2650 - loss 0.02992481 - time (sec): 109.66 - samples/sec: 8015.63 - lr: 0.025000 +2023-04-06 09:55:10,450 epoch 90 - iter 1855/2650 - loss 0.03013628 - time (sec): 127.81 - samples/sec: 8020.79 - lr: 0.025000 +2023-04-06 09:55:28,799 epoch 90 - iter 2120/2650 - loss 0.03016773 - time (sec): 146.16 - samples/sec: 8021.63 - lr: 0.025000 +2023-04-06 09:55:46,759 epoch 90 - iter 2385/2650 - loss 0.03019036 - time (sec): 164.12 - samples/sec: 8035.35 - lr: 0.025000 +2023-04-06 09:56:04,798 epoch 90 - iter 2650/2650 - loss 0.03030086 - time (sec): 182.16 - samples/sec: 8028.05 - lr: 0.025000 +2023-04-06 09:56:04,798 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:56:04,798 EPOCH 90 done: loss 0.0303 - lr 0.025000 +2023-04-06 09:56:04,798 BAD EPOCHS (no improvement): 0 +2023-04-06 09:56:04,801 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:56:22,679 epoch 91 - iter 265/2650 - loss 0.02983226 - time (sec): 17.88 - samples/sec: 8146.59 - lr: 0.025000 +2023-04-06 09:56:40,783 epoch 91 - iter 530/2650 - loss 0.03057380 - time (sec): 35.98 - samples/sec: 8106.28 - lr: 0.025000 +2023-04-06 09:56:59,018 epoch 91 - iter 795/2650 - loss 0.03051211 - time (sec): 54.22 - samples/sec: 8068.80 - lr: 0.025000 +2023-04-06 09:57:17,302 epoch 91 - iter 1060/2650 - loss 0.03053699 - time (sec): 72.50 - samples/sec: 8072.93 - lr: 0.025000 +2023-04-06 09:57:35,470 epoch 91 - iter 1325/2650 - loss 0.03037614 - time (sec): 90.67 - samples/sec: 8073.76 - lr: 0.025000 +2023-04-06 09:57:54,081 epoch 91 - iter 1590/2650 - loss 0.03031043 - time (sec): 109.28 - samples/sec: 8041.89 - lr: 0.025000 +2023-04-06 09:58:12,620 epoch 91 - iter 1855/2650 - loss 0.03013952 - time (sec): 127.82 - samples/sec: 8021.87 - lr: 0.025000 +2023-04-06 09:58:31,235 epoch 91 - iter 2120/2650 - loss 0.03016849 - time (sec): 146.43 - samples/sec: 8000.75 - lr: 0.025000 +2023-04-06 09:59:01,159 epoch 91 - iter 2385/2650 - loss 0.03021219 - time (sec): 176.36 - samples/sec: 7468.65 - lr: 0.025000 +2023-04-06 09:59:19,433 epoch 91 - iter 2650/2650 - loss 0.03016063 - time (sec): 194.63 - samples/sec: 7513.48 - lr: 0.025000 +2023-04-06 09:59:19,433 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:59:19,433 EPOCH 91 done: loss 0.0302 - lr 0.025000 +2023-04-06 09:59:19,433 BAD EPOCHS (no improvement): 0 +2023-04-06 09:59:19,437 ---------------------------------------------------------------------------------------------------- +2023-04-06 09:59:37,516 epoch 92 - iter 265/2650 - loss 0.02954097 - time (sec): 18.08 - samples/sec: 7988.23 - lr: 0.025000 +2023-04-06 09:59:56,006 epoch 92 - iter 530/2650 - loss 0.02983538 - time (sec): 36.57 - samples/sec: 7984.00 - lr: 0.025000 +2023-04-06 10:00:14,666 epoch 92 - iter 795/2650 - loss 0.02984469 - time (sec): 55.23 - samples/sec: 7941.00 - lr: 0.025000 +2023-04-06 10:00:32,950 epoch 92 - iter 1060/2650 - loss 0.02976933 - time (sec): 73.51 - samples/sec: 7942.27 - lr: 0.025000 +2023-04-06 10:00:50,902 epoch 92 - iter 1325/2650 - loss 0.02977028 - time (sec): 91.47 - samples/sec: 7964.68 - lr: 0.025000 +2023-04-06 10:01:09,058 epoch 92 - iter 1590/2650 - loss 0.03002720 - time (sec): 109.62 - samples/sec: 7981.32 - lr: 0.025000 +2023-04-06 10:01:27,553 epoch 92 - iter 1855/2650 - loss 0.03027696 - time (sec): 128.12 - samples/sec: 7983.95 - lr: 0.025000 +2023-04-06 10:01:45,825 epoch 92 - iter 2120/2650 - loss 0.03023003 - time (sec): 146.39 - samples/sec: 7988.38 - lr: 0.025000 +2023-04-06 10:02:04,069 epoch 92 - iter 2385/2650 - loss 0.03023304 - time (sec): 164.63 - samples/sec: 7991.31 - lr: 0.025000 +2023-04-06 10:02:22,647 epoch 92 - iter 2650/2650 - loss 0.03020003 - time (sec): 183.21 - samples/sec: 7981.87 - lr: 0.025000 +2023-04-06 10:02:22,648 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:02:22,648 EPOCH 92 done: loss 0.0302 - lr 0.025000 +2023-04-06 10:02:22,648 BAD EPOCHS (no improvement): 1 +2023-04-06 10:02:22,653 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:02:40,972 epoch 93 - iter 265/2650 - loss 0.02895471 - time (sec): 18.32 - samples/sec: 7998.13 - lr: 0.025000 +2023-04-06 10:02:59,060 epoch 93 - iter 530/2650 - loss 0.02924961 - time (sec): 36.41 - samples/sec: 8024.49 - lr: 0.025000 +2023-04-06 10:03:18,090 epoch 93 - iter 795/2650 - loss 0.02893645 - time (sec): 55.44 - samples/sec: 7934.94 - lr: 0.025000 +2023-04-06 10:03:36,755 epoch 93 - iter 1060/2650 - loss 0.02904692 - time (sec): 74.10 - samples/sec: 7916.46 - lr: 0.025000 +2023-04-06 10:03:55,208 epoch 93 - iter 1325/2650 - loss 0.02914444 - time (sec): 92.55 - samples/sec: 7929.22 - lr: 0.025000 +2023-04-06 10:04:13,178 epoch 93 - iter 1590/2650 - loss 0.02930546 - time (sec): 110.52 - samples/sec: 7944.34 - lr: 0.025000 +2023-04-06 10:04:31,325 epoch 93 - iter 1855/2650 - loss 0.02944732 - time (sec): 128.67 - samples/sec: 7946.61 - lr: 0.025000 +2023-04-06 10:04:49,397 epoch 93 - iter 2120/2650 - loss 0.02948859 - time (sec): 146.74 - samples/sec: 7955.52 - lr: 0.025000 +2023-04-06 10:05:07,870 epoch 93 - iter 2385/2650 - loss 0.02970329 - time (sec): 165.22 - samples/sec: 7963.62 - lr: 0.025000 +2023-04-06 10:05:26,208 epoch 93 - iter 2650/2650 - loss 0.02976326 - time (sec): 183.56 - samples/sec: 7966.89 - lr: 0.025000 +2023-04-06 10:05:26,209 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:05:26,209 EPOCH 93 done: loss 0.0298 - lr 0.025000 +2023-04-06 10:05:26,209 BAD EPOCHS (no improvement): 0 +2023-04-06 10:05:26,217 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:05:44,547 epoch 94 - iter 265/2650 - loss 0.02992291 - time (sec): 18.33 - samples/sec: 8050.79 - lr: 0.025000 +2023-04-06 10:06:02,671 epoch 94 - iter 530/2650 - loss 0.02953093 - time (sec): 36.45 - samples/sec: 8069.44 - lr: 0.025000 +2023-04-06 10:06:21,549 epoch 94 - iter 795/2650 - loss 0.02943924 - time (sec): 55.33 - samples/sec: 7967.73 - lr: 0.025000 +2023-04-06 10:06:40,001 epoch 94 - iter 1060/2650 - loss 0.02923074 - time (sec): 73.78 - samples/sec: 7930.50 - lr: 0.025000 +2023-04-06 10:06:58,870 epoch 94 - iter 1325/2650 - loss 0.02940616 - time (sec): 92.65 - samples/sec: 7921.60 - lr: 0.025000 +2023-04-06 10:07:17,795 epoch 94 - iter 1590/2650 - loss 0.02951783 - time (sec): 111.58 - samples/sec: 7895.85 - lr: 0.025000 +2023-04-06 10:07:36,282 epoch 94 - iter 1855/2650 - loss 0.02958460 - time (sec): 130.06 - samples/sec: 7908.48 - lr: 0.025000 +2023-04-06 10:07:54,657 epoch 94 - iter 2120/2650 - loss 0.02964827 - time (sec): 148.44 - samples/sec: 7906.00 - lr: 0.025000 +2023-04-06 10:08:12,880 epoch 94 - iter 2385/2650 - loss 0.02976769 - time (sec): 166.66 - samples/sec: 7911.16 - lr: 0.025000 +2023-04-06 10:08:30,958 epoch 94 - iter 2650/2650 - loss 0.02971315 - time (sec): 184.74 - samples/sec: 7915.73 - lr: 0.025000 +2023-04-06 10:08:30,958 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:08:30,958 EPOCH 94 done: loss 0.0297 - lr 0.025000 +2023-04-06 10:08:30,958 BAD EPOCHS (no improvement): 0 +2023-04-06 10:08:30,962 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:08:49,074 epoch 95 - iter 265/2650 - loss 0.03093760 - time (sec): 18.11 - samples/sec: 8022.81 - lr: 0.025000 +2023-04-06 10:09:07,700 epoch 95 - iter 530/2650 - loss 0.03092172 - time (sec): 36.74 - samples/sec: 7974.79 - lr: 0.025000 +2023-04-06 10:09:25,510 epoch 95 - iter 795/2650 - loss 0.03058677 - time (sec): 54.55 - samples/sec: 8033.07 - lr: 0.025000 +2023-04-06 10:09:43,656 epoch 95 - iter 1060/2650 - loss 0.02970582 - time (sec): 72.69 - samples/sec: 8045.59 - lr: 0.025000 +2023-04-06 10:10:02,711 epoch 95 - iter 1325/2650 - loss 0.02966750 - time (sec): 91.75 - samples/sec: 7986.52 - lr: 0.025000 +2023-04-06 10:10:21,481 epoch 95 - iter 1590/2650 - loss 0.02936030 - time (sec): 110.52 - samples/sec: 7949.69 - lr: 0.025000 +2023-04-06 10:10:40,272 epoch 95 - iter 1855/2650 - loss 0.02941326 - time (sec): 129.31 - samples/sec: 7923.26 - lr: 0.025000 +2023-04-06 10:10:58,461 epoch 95 - iter 2120/2650 - loss 0.02959746 - time (sec): 147.50 - samples/sec: 7925.83 - lr: 0.025000 +2023-04-06 10:11:16,588 epoch 95 - iter 2385/2650 - loss 0.02956152 - time (sec): 165.63 - samples/sec: 7941.11 - lr: 0.025000 +2023-04-06 10:11:34,914 epoch 95 - iter 2650/2650 - loss 0.02964425 - time (sec): 183.95 - samples/sec: 7949.70 - lr: 0.025000 +2023-04-06 10:11:34,914 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:11:34,914 EPOCH 95 done: loss 0.0296 - lr 0.025000 +2023-04-06 10:11:34,914 BAD EPOCHS (no improvement): 0 +2023-04-06 10:11:34,918 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:11:52,984 epoch 96 - iter 265/2650 - loss 0.02948807 - time (sec): 18.07 - samples/sec: 8111.15 - lr: 0.025000 +2023-04-06 10:12:10,903 epoch 96 - iter 530/2650 - loss 0.02904995 - time (sec): 35.98 - samples/sec: 8099.26 - lr: 0.025000 +2023-04-06 10:12:28,743 epoch 96 - iter 795/2650 - loss 0.02902849 - time (sec): 53.82 - samples/sec: 8120.20 - lr: 0.025000 +2023-04-06 10:12:47,256 epoch 96 - iter 1060/2650 - loss 0.02922276 - time (sec): 72.34 - samples/sec: 8086.09 - lr: 0.025000 +2023-04-06 10:13:05,361 epoch 96 - iter 1325/2650 - loss 0.02953263 - time (sec): 90.44 - samples/sec: 8066.64 - lr: 0.025000 +2023-04-06 10:13:23,618 epoch 96 - iter 1590/2650 - loss 0.02930345 - time (sec): 108.70 - samples/sec: 8067.59 - lr: 0.025000 +2023-04-06 10:13:41,713 epoch 96 - iter 1855/2650 - loss 0.02939696 - time (sec): 126.80 - samples/sec: 8076.08 - lr: 0.025000 +2023-04-06 10:14:00,129 epoch 96 - iter 2120/2650 - loss 0.02945321 - time (sec): 145.21 - samples/sec: 8058.97 - lr: 0.025000 +2023-04-06 10:14:18,495 epoch 96 - iter 2385/2650 - loss 0.02951025 - time (sec): 163.58 - samples/sec: 8051.70 - lr: 0.025000 +2023-04-06 10:14:36,470 epoch 96 - iter 2650/2650 - loss 0.02955779 - time (sec): 181.55 - samples/sec: 8054.78 - lr: 0.025000 +2023-04-06 10:14:36,470 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:14:36,470 EPOCH 96 done: loss 0.0296 - lr 0.025000 +2023-04-06 10:14:36,470 BAD EPOCHS (no improvement): 0 +2023-04-06 10:14:36,474 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:14:54,069 epoch 97 - iter 265/2650 - loss 0.02786645 - time (sec): 17.59 - samples/sec: 8174.84 - lr: 0.025000 +2023-04-06 10:15:12,072 epoch 97 - iter 530/2650 - loss 0.02878904 - time (sec): 35.60 - samples/sec: 8168.21 - lr: 0.025000 +2023-04-06 10:15:30,478 epoch 97 - iter 795/2650 - loss 0.02853451 - time (sec): 54.00 - samples/sec: 8127.11 - lr: 0.025000 +2023-04-06 10:15:48,594 epoch 97 - iter 1060/2650 - loss 0.02881343 - time (sec): 72.12 - samples/sec: 8114.09 - lr: 0.025000 +2023-04-06 10:16:07,234 epoch 97 - iter 1325/2650 - loss 0.02905169 - time (sec): 90.76 - samples/sec: 8076.09 - lr: 0.025000 +2023-04-06 10:16:24,867 epoch 97 - iter 1590/2650 - loss 0.02897781 - time (sec): 108.39 - samples/sec: 8098.38 - lr: 0.025000 +2023-04-06 10:16:42,956 epoch 97 - iter 1855/2650 - loss 0.02913988 - time (sec): 126.48 - samples/sec: 8096.68 - lr: 0.025000 +2023-04-06 10:17:01,629 epoch 97 - iter 2120/2650 - loss 0.02927943 - time (sec): 145.16 - samples/sec: 8076.88 - lr: 0.025000 +2023-04-06 10:17:20,111 epoch 97 - iter 2385/2650 - loss 0.02929977 - time (sec): 163.64 - samples/sec: 8056.10 - lr: 0.025000 +2023-04-06 10:17:38,033 epoch 97 - iter 2650/2650 - loss 0.02944678 - time (sec): 181.56 - samples/sec: 8054.49 - lr: 0.025000 +2023-04-06 10:17:38,033 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:17:38,033 EPOCH 97 done: loss 0.0294 - lr 0.025000 +2023-04-06 10:17:38,033 BAD EPOCHS (no improvement): 0 +2023-04-06 10:17:38,037 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:17:56,162 epoch 98 - iter 265/2650 - loss 0.03015602 - time (sec): 18.12 - samples/sec: 8105.35 - lr: 0.025000 +2023-04-06 10:18:14,442 epoch 98 - iter 530/2650 - loss 0.02934542 - time (sec): 36.40 - samples/sec: 8049.26 - lr: 0.025000 +2023-04-06 10:18:32,548 epoch 98 - iter 795/2650 - loss 0.02949456 - time (sec): 54.51 - samples/sec: 8033.02 - lr: 0.025000 +2023-04-06 10:18:50,376 epoch 98 - iter 1060/2650 - loss 0.02923343 - time (sec): 72.34 - samples/sec: 8050.49 - lr: 0.025000 +2023-04-06 10:19:08,369 epoch 98 - iter 1325/2650 - loss 0.02940113 - time (sec): 90.33 - samples/sec: 8053.20 - lr: 0.025000 +2023-04-06 10:19:26,916 epoch 98 - iter 1590/2650 - loss 0.02931146 - time (sec): 108.88 - samples/sec: 8037.89 - lr: 0.025000 +2023-04-06 10:19:45,195 epoch 98 - iter 1855/2650 - loss 0.02933681 - time (sec): 127.16 - samples/sec: 8041.35 - lr: 0.025000 +2023-04-06 10:20:03,253 epoch 98 - iter 2120/2650 - loss 0.02940190 - time (sec): 145.22 - samples/sec: 8039.23 - lr: 0.025000 +2023-04-06 10:20:21,390 epoch 98 - iter 2385/2650 - loss 0.02941209 - time (sec): 163.35 - samples/sec: 8046.18 - lr: 0.025000 +2023-04-06 10:20:40,109 epoch 98 - iter 2650/2650 - loss 0.02947156 - time (sec): 182.07 - samples/sec: 8031.80 - lr: 0.025000 +2023-04-06 10:20:40,109 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:20:40,109 EPOCH 98 done: loss 0.0295 - lr 0.025000 +2023-04-06 10:20:40,109 BAD EPOCHS (no improvement): 1 +2023-04-06 10:20:40,113 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:20:58,417 epoch 99 - iter 265/2650 - loss 0.02837117 - time (sec): 18.30 - samples/sec: 7841.33 - lr: 0.025000 +2023-04-06 10:21:16,432 epoch 99 - iter 530/2650 - loss 0.02837371 - time (sec): 36.32 - samples/sec: 7943.71 - lr: 0.025000 +2023-04-06 10:21:34,762 epoch 99 - iter 795/2650 - loss 0.02876587 - time (sec): 54.65 - samples/sec: 7954.97 - lr: 0.025000 +2023-04-06 10:21:52,445 epoch 99 - iter 1060/2650 - loss 0.02883635 - time (sec): 72.33 - samples/sec: 8004.57 - lr: 0.025000 +2023-04-06 10:22:11,170 epoch 99 - iter 1325/2650 - loss 0.02864805 - time (sec): 91.06 - samples/sec: 7980.49 - lr: 0.025000 +2023-04-06 10:22:29,189 epoch 99 - iter 1590/2650 - loss 0.02872146 - time (sec): 109.08 - samples/sec: 8015.25 - lr: 0.025000 +2023-04-06 10:22:47,379 epoch 99 - iter 1855/2650 - loss 0.02896624 - time (sec): 127.27 - samples/sec: 8012.85 - lr: 0.025000 +2023-04-06 10:23:05,617 epoch 99 - iter 2120/2650 - loss 0.02897323 - time (sec): 145.50 - samples/sec: 8029.91 - lr: 0.025000 +2023-04-06 10:23:23,765 epoch 99 - iter 2385/2650 - loss 0.02896029 - time (sec): 163.65 - samples/sec: 8036.46 - lr: 0.025000 +2023-04-06 10:23:42,273 epoch 99 - iter 2650/2650 - loss 0.02897519 - time (sec): 182.16 - samples/sec: 8027.91 - lr: 0.025000 +2023-04-06 10:23:42,273 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:23:42,273 EPOCH 99 done: loss 0.0290 - lr 0.025000 +2023-04-06 10:23:42,273 BAD EPOCHS (no improvement): 0 +2023-04-06 10:23:42,277 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:24:00,706 epoch 100 - iter 265/2650 - loss 0.02990085 - time (sec): 18.43 - samples/sec: 7988.61 - lr: 0.025000 +2023-04-06 10:24:18,864 epoch 100 - iter 530/2650 - loss 0.02944842 - time (sec): 36.59 - samples/sec: 7984.25 - lr: 0.025000 +2023-04-06 10:24:36,969 epoch 100 - iter 795/2650 - loss 0.02936896 - time (sec): 54.69 - samples/sec: 7999.33 - lr: 0.025000 +2023-04-06 10:24:55,130 epoch 100 - iter 1060/2650 - loss 0.02917718 - time (sec): 72.85 - samples/sec: 8033.84 - lr: 0.025000 +2023-04-06 10:25:12,861 epoch 100 - iter 1325/2650 - loss 0.02929608 - time (sec): 90.58 - samples/sec: 8055.79 - lr: 0.025000 +2023-04-06 10:25:31,174 epoch 100 - iter 1590/2650 - loss 0.02903663 - time (sec): 108.90 - samples/sec: 8055.41 - lr: 0.025000 +2023-04-06 10:25:49,564 epoch 100 - iter 1855/2650 - loss 0.02917733 - time (sec): 127.29 - samples/sec: 8042.48 - lr: 0.025000 +2023-04-06 10:26:08,241 epoch 100 - iter 2120/2650 - loss 0.02923354 - time (sec): 145.96 - samples/sec: 8014.79 - lr: 0.025000 +2023-04-06 10:26:27,336 epoch 100 - iter 2385/2650 - loss 0.02931082 - time (sec): 165.06 - samples/sec: 7972.54 - lr: 0.025000 +2023-04-06 10:26:45,605 epoch 100 - iter 2650/2650 - loss 0.02923743 - time (sec): 183.33 - samples/sec: 7976.73 - lr: 0.025000 +2023-04-06 10:26:45,605 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:26:45,605 EPOCH 100 done: loss 0.0292 - lr 0.025000 +2023-04-06 10:26:45,606 BAD EPOCHS (no improvement): 1 +2023-04-06 10:26:45,612 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:27:04,367 epoch 101 - iter 265/2650 - loss 0.02789438 - time (sec): 18.75 - samples/sec: 7747.40 - lr: 0.025000 +2023-04-06 10:27:22,223 epoch 101 - iter 530/2650 - loss 0.02839336 - time (sec): 36.61 - samples/sec: 7934.40 - lr: 0.025000 +2023-04-06 10:27:40,866 epoch 101 - iter 795/2650 - loss 0.02904500 - time (sec): 55.25 - samples/sec: 7933.18 - lr: 0.025000 +2023-04-06 10:27:59,281 epoch 101 - iter 1060/2650 - loss 0.02913840 - time (sec): 73.67 - samples/sec: 7938.16 - lr: 0.025000 +2023-04-06 10:28:17,467 epoch 101 - iter 1325/2650 - loss 0.02908760 - time (sec): 91.85 - samples/sec: 7949.14 - lr: 0.025000 +2023-04-06 10:28:36,285 epoch 101 - iter 1590/2650 - loss 0.02914142 - time (sec): 110.67 - samples/sec: 7921.74 - lr: 0.025000 +2023-04-06 10:28:54,458 epoch 101 - iter 1855/2650 - loss 0.02912699 - time (sec): 128.85 - samples/sec: 7940.91 - lr: 0.025000 +2023-04-06 10:29:12,756 epoch 101 - iter 2120/2650 - loss 0.02918596 - time (sec): 147.14 - samples/sec: 7937.93 - lr: 0.025000 +2023-04-06 10:29:31,592 epoch 101 - iter 2385/2650 - loss 0.02921213 - time (sec): 165.98 - samples/sec: 7930.64 - lr: 0.025000 +2023-04-06 10:29:49,818 epoch 101 - iter 2650/2650 - loss 0.02921635 - time (sec): 184.21 - samples/sec: 7938.76 - lr: 0.025000 +2023-04-06 10:29:49,818 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:29:49,818 EPOCH 101 done: loss 0.0292 - lr 0.025000 +2023-04-06 10:29:49,818 BAD EPOCHS (no improvement): 2 +2023-04-06 10:29:49,821 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:30:07,732 epoch 102 - iter 265/2650 - loss 0.02892950 - time (sec): 17.91 - samples/sec: 8112.17 - lr: 0.025000 +2023-04-06 10:30:25,635 epoch 102 - iter 530/2650 - loss 0.02917550 - time (sec): 35.81 - samples/sec: 8110.43 - lr: 0.025000 +2023-04-06 10:30:44,274 epoch 102 - iter 795/2650 - loss 0.02924241 - time (sec): 54.45 - samples/sec: 8046.97 - lr: 0.025000 +2023-04-06 10:31:02,807 epoch 102 - iter 1060/2650 - loss 0.02909254 - time (sec): 72.99 - samples/sec: 8021.84 - lr: 0.025000 +2023-04-06 10:31:21,652 epoch 102 - iter 1325/2650 - loss 0.02880245 - time (sec): 91.83 - samples/sec: 7964.19 - lr: 0.025000 +2023-04-06 10:31:40,528 epoch 102 - iter 1590/2650 - loss 0.02883680 - time (sec): 110.71 - samples/sec: 7923.57 - lr: 0.025000 +2023-04-06 10:31:59,540 epoch 102 - iter 1855/2650 - loss 0.02894956 - time (sec): 129.72 - samples/sec: 7894.59 - lr: 0.025000 +2023-04-06 10:32:18,245 epoch 102 - iter 2120/2650 - loss 0.02909373 - time (sec): 148.42 - samples/sec: 7884.32 - lr: 0.025000 +2023-04-06 10:32:36,873 epoch 102 - iter 2385/2650 - loss 0.02913656 - time (sec): 167.05 - samples/sec: 7880.86 - lr: 0.025000 +2023-04-06 10:32:55,424 epoch 102 - iter 2650/2650 - loss 0.02910292 - time (sec): 185.60 - samples/sec: 7879.00 - lr: 0.025000 +2023-04-06 10:32:55,424 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:32:55,424 EPOCH 102 done: loss 0.0291 - lr 0.025000 +2023-04-06 10:32:55,424 BAD EPOCHS (no improvement): 3 +2023-04-06 10:32:55,427 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:33:14,209 epoch 103 - iter 265/2650 - loss 0.02967606 - time (sec): 18.78 - samples/sec: 7795.58 - lr: 0.025000 +2023-04-06 10:33:32,658 epoch 103 - iter 530/2650 - loss 0.02859386 - time (sec): 37.23 - samples/sec: 7854.78 - lr: 0.025000 +2023-04-06 10:33:51,377 epoch 103 - iter 795/2650 - loss 0.02886302 - time (sec): 55.95 - samples/sec: 7856.93 - lr: 0.025000 +2023-04-06 10:34:09,837 epoch 103 - iter 1060/2650 - loss 0.02882483 - time (sec): 74.41 - samples/sec: 7872.31 - lr: 0.025000 +2023-04-06 10:34:28,185 epoch 103 - iter 1325/2650 - loss 0.02889446 - time (sec): 92.76 - samples/sec: 7899.98 - lr: 0.025000 +2023-04-06 10:34:46,499 epoch 103 - iter 1590/2650 - loss 0.02891120 - time (sec): 111.07 - samples/sec: 7921.07 - lr: 0.025000 +2023-04-06 10:35:04,737 epoch 103 - iter 1855/2650 - loss 0.02894634 - time (sec): 129.31 - samples/sec: 7929.77 - lr: 0.025000 +2023-04-06 10:35:23,235 epoch 103 - iter 2120/2650 - loss 0.02891873 - time (sec): 147.81 - samples/sec: 7925.57 - lr: 0.025000 +2023-04-06 10:35:41,538 epoch 103 - iter 2385/2650 - loss 0.02878494 - time (sec): 166.11 - samples/sec: 7936.15 - lr: 0.025000 +2023-04-06 10:35:59,388 epoch 103 - iter 2650/2650 - loss 0.02882189 - time (sec): 183.96 - samples/sec: 7949.33 - lr: 0.025000 +2023-04-06 10:35:59,388 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:35:59,388 EPOCH 103 done: loss 0.0288 - lr 0.025000 +2023-04-06 10:35:59,388 BAD EPOCHS (no improvement): 0 +2023-04-06 10:35:59,391 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:36:17,402 epoch 104 - iter 265/2650 - loss 0.02912064 - time (sec): 18.01 - samples/sec: 8114.92 - lr: 0.025000 +2023-04-06 10:36:35,622 epoch 104 - iter 530/2650 - loss 0.02908643 - time (sec): 36.23 - samples/sec: 8094.73 - lr: 0.025000 +2023-04-06 10:36:53,585 epoch 104 - iter 795/2650 - loss 0.02847266 - time (sec): 54.19 - samples/sec: 8082.99 - lr: 0.025000 +2023-04-06 10:37:11,738 epoch 104 - iter 1060/2650 - loss 0.02853324 - time (sec): 72.35 - samples/sec: 8102.68 - lr: 0.025000 +2023-04-06 10:37:30,117 epoch 104 - iter 1325/2650 - loss 0.02861226 - time (sec): 90.73 - samples/sec: 8085.87 - lr: 0.025000 +2023-04-06 10:37:48,162 epoch 104 - iter 1590/2650 - loss 0.02871542 - time (sec): 108.77 - samples/sec: 8091.88 - lr: 0.025000 +2023-04-06 10:38:06,226 epoch 104 - iter 1855/2650 - loss 0.02887285 - time (sec): 126.83 - samples/sec: 8085.55 - lr: 0.025000 +2023-04-06 10:38:24,423 epoch 104 - iter 2120/2650 - loss 0.02888725 - time (sec): 145.03 - samples/sec: 8071.80 - lr: 0.025000 +2023-04-06 10:38:42,449 epoch 104 - iter 2385/2650 - loss 0.02898914 - time (sec): 163.06 - samples/sec: 8072.28 - lr: 0.025000 +2023-04-06 10:39:00,741 epoch 104 - iter 2650/2650 - loss 0.02894118 - time (sec): 181.35 - samples/sec: 8063.76 - lr: 0.025000 +2023-04-06 10:39:00,742 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:39:00,742 EPOCH 104 done: loss 0.0289 - lr 0.025000 +2023-04-06 10:39:00,742 BAD EPOCHS (no improvement): 1 +2023-04-06 10:39:00,745 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:39:19,219 epoch 105 - iter 265/2650 - loss 0.02842705 - time (sec): 18.47 - samples/sec: 7934.05 - lr: 0.025000 +2023-04-06 10:39:37,294 epoch 105 - iter 530/2650 - loss 0.02878726 - time (sec): 36.55 - samples/sec: 8004.35 - lr: 0.025000 +2023-04-06 10:39:55,199 epoch 105 - iter 795/2650 - loss 0.02871867 - time (sec): 54.45 - samples/sec: 8040.42 - lr: 0.025000 +2023-04-06 10:40:13,592 epoch 105 - iter 1060/2650 - loss 0.02879356 - time (sec): 72.85 - samples/sec: 8028.74 - lr: 0.025000 +2023-04-06 10:40:31,942 epoch 105 - iter 1325/2650 - loss 0.02895523 - time (sec): 91.20 - samples/sec: 8019.34 - lr: 0.025000 +2023-04-06 10:40:49,989 epoch 105 - iter 1590/2650 - loss 0.02863003 - time (sec): 109.24 - samples/sec: 8020.28 - lr: 0.025000 +2023-04-06 10:41:07,872 epoch 105 - iter 1855/2650 - loss 0.02849800 - time (sec): 127.13 - samples/sec: 8032.82 - lr: 0.025000 +2023-04-06 10:41:26,174 epoch 105 - iter 2120/2650 - loss 0.02853373 - time (sec): 145.43 - samples/sec: 8038.47 - lr: 0.025000 +2023-04-06 10:41:44,536 epoch 105 - iter 2385/2650 - loss 0.02854717 - time (sec): 163.79 - samples/sec: 8030.03 - lr: 0.025000 +2023-04-06 10:42:03,154 epoch 105 - iter 2650/2650 - loss 0.02869400 - time (sec): 182.41 - samples/sec: 8016.97 - lr: 0.025000 +2023-04-06 10:42:03,154 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:42:03,154 EPOCH 105 done: loss 0.0287 - lr 0.025000 +2023-04-06 10:42:03,154 BAD EPOCHS (no improvement): 0 +2023-04-06 10:42:03,158 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:42:21,536 epoch 106 - iter 265/2650 - loss 0.02747638 - time (sec): 18.38 - samples/sec: 7895.74 - lr: 0.025000 +2023-04-06 10:42:39,851 epoch 106 - iter 530/2650 - loss 0.02832522 - time (sec): 36.69 - samples/sec: 7932.77 - lr: 0.025000 +2023-04-06 10:42:58,783 epoch 106 - iter 795/2650 - loss 0.02854966 - time (sec): 55.62 - samples/sec: 7903.00 - lr: 0.025000 +2023-04-06 10:43:17,098 epoch 106 - iter 1060/2650 - loss 0.02855856 - time (sec): 73.94 - samples/sec: 7921.47 - lr: 0.025000 +2023-04-06 10:43:35,752 epoch 106 - iter 1325/2650 - loss 0.02872708 - time (sec): 92.59 - samples/sec: 7902.97 - lr: 0.025000 +2023-04-06 10:43:54,303 epoch 106 - iter 1590/2650 - loss 0.02858542 - time (sec): 111.14 - samples/sec: 7905.90 - lr: 0.025000 +2023-04-06 10:44:12,897 epoch 106 - iter 1855/2650 - loss 0.02852546 - time (sec): 129.74 - samples/sec: 7899.35 - lr: 0.025000 +2023-04-06 10:44:31,248 epoch 106 - iter 2120/2650 - loss 0.02859389 - time (sec): 148.09 - samples/sec: 7896.84 - lr: 0.025000 +2023-04-06 10:44:49,337 epoch 106 - iter 2385/2650 - loss 0.02869341 - time (sec): 166.18 - samples/sec: 7912.69 - lr: 0.025000 +2023-04-06 10:45:07,978 epoch 106 - iter 2650/2650 - loss 0.02854117 - time (sec): 184.82 - samples/sec: 7912.33 - lr: 0.025000 +2023-04-06 10:45:07,979 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:45:07,979 EPOCH 106 done: loss 0.0285 - lr 0.025000 +2023-04-06 10:45:07,979 BAD EPOCHS (no improvement): 0 +2023-04-06 10:45:07,982 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:45:26,431 epoch 107 - iter 265/2650 - loss 0.02845543 - time (sec): 18.45 - samples/sec: 8000.34 - lr: 0.025000 +2023-04-06 10:45:44,516 epoch 107 - iter 530/2650 - loss 0.02864783 - time (sec): 36.53 - samples/sec: 8035.59 - lr: 0.025000 +2023-04-06 10:46:02,770 epoch 107 - iter 795/2650 - loss 0.02859257 - time (sec): 54.79 - samples/sec: 8001.38 - lr: 0.025000 +2023-04-06 10:46:21,261 epoch 107 - iter 1060/2650 - loss 0.02856153 - time (sec): 73.28 - samples/sec: 7967.02 - lr: 0.025000 +2023-04-06 10:46:39,603 epoch 107 - iter 1325/2650 - loss 0.02866236 - time (sec): 91.62 - samples/sec: 7963.76 - lr: 0.025000 +2023-04-06 10:46:57,889 epoch 107 - iter 1590/2650 - loss 0.02874504 - time (sec): 109.91 - samples/sec: 7970.57 - lr: 0.025000 +2023-04-06 10:47:16,241 epoch 107 - iter 1855/2650 - loss 0.02871136 - time (sec): 128.26 - samples/sec: 7971.64 - lr: 0.025000 +2023-04-06 10:47:34,445 epoch 107 - iter 2120/2650 - loss 0.02884658 - time (sec): 146.46 - samples/sec: 7976.93 - lr: 0.025000 +2023-04-06 10:47:52,746 epoch 107 - iter 2385/2650 - loss 0.02892844 - time (sec): 164.76 - samples/sec: 7980.84 - lr: 0.025000 +2023-04-06 10:48:11,138 epoch 107 - iter 2650/2650 - loss 0.02880844 - time (sec): 183.16 - samples/sec: 7984.26 - lr: 0.025000 +2023-04-06 10:48:11,138 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:48:11,138 EPOCH 107 done: loss 0.0288 - lr 0.025000 +2023-04-06 10:48:11,138 BAD EPOCHS (no improvement): 1 +2023-04-06 10:48:11,141 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:48:29,617 epoch 108 - iter 265/2650 - loss 0.02805338 - time (sec): 18.48 - samples/sec: 7909.93 - lr: 0.025000 +2023-04-06 10:48:47,562 epoch 108 - iter 530/2650 - loss 0.02788342 - time (sec): 36.42 - samples/sec: 7999.65 - lr: 0.025000 +2023-04-06 10:49:05,570 epoch 108 - iter 795/2650 - loss 0.02831989 - time (sec): 54.43 - samples/sec: 8020.85 - lr: 0.025000 +2023-04-06 10:49:24,048 epoch 108 - iter 1060/2650 - loss 0.02824120 - time (sec): 72.91 - samples/sec: 7984.88 - lr: 0.025000 +2023-04-06 10:49:42,321 epoch 108 - iter 1325/2650 - loss 0.02863601 - time (sec): 91.18 - samples/sec: 7976.00 - lr: 0.025000 +2023-04-06 10:50:01,009 epoch 108 - iter 1590/2650 - loss 0.02876584 - time (sec): 109.87 - samples/sec: 7958.39 - lr: 0.025000 +2023-04-06 10:50:19,536 epoch 108 - iter 1855/2650 - loss 0.02876441 - time (sec): 128.39 - samples/sec: 7958.59 - lr: 0.025000 +2023-04-06 10:50:37,665 epoch 108 - iter 2120/2650 - loss 0.02874855 - time (sec): 146.52 - samples/sec: 7968.50 - lr: 0.025000 +2023-04-06 10:50:56,480 epoch 108 - iter 2385/2650 - loss 0.02871840 - time (sec): 165.34 - samples/sec: 7961.85 - lr: 0.025000 +2023-04-06 10:51:14,516 epoch 108 - iter 2650/2650 - loss 0.02876714 - time (sec): 183.37 - samples/sec: 7974.74 - lr: 0.025000 +2023-04-06 10:51:14,516 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:51:14,516 EPOCH 108 done: loss 0.0288 - lr 0.025000 +2023-04-06 10:51:14,516 BAD EPOCHS (no improvement): 2 +2023-04-06 10:51:14,519 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:51:32,655 epoch 109 - iter 265/2650 - loss 0.02815426 - time (sec): 18.14 - samples/sec: 8070.39 - lr: 0.025000 +2023-04-06 10:51:51,046 epoch 109 - iter 530/2650 - loss 0.02756844 - time (sec): 36.53 - samples/sec: 8032.04 - lr: 0.025000 +2023-04-06 10:52:09,257 epoch 109 - iter 795/2650 - loss 0.02781535 - time (sec): 54.74 - samples/sec: 8034.73 - lr: 0.025000 +2023-04-06 10:52:27,829 epoch 109 - iter 1060/2650 - loss 0.02787548 - time (sec): 73.31 - samples/sec: 7999.30 - lr: 0.025000 +2023-04-06 10:52:45,864 epoch 109 - iter 1325/2650 - loss 0.02788362 - time (sec): 91.35 - samples/sec: 8011.41 - lr: 0.025000 +2023-04-06 10:53:04,251 epoch 109 - iter 1590/2650 - loss 0.02793268 - time (sec): 109.73 - samples/sec: 8003.23 - lr: 0.025000 +2023-04-06 10:53:22,761 epoch 109 - iter 1855/2650 - loss 0.02825866 - time (sec): 128.24 - samples/sec: 7995.09 - lr: 0.025000 +2023-04-06 10:53:40,888 epoch 109 - iter 2120/2650 - loss 0.02822192 - time (sec): 146.37 - samples/sec: 7997.18 - lr: 0.025000 +2023-04-06 10:53:59,401 epoch 109 - iter 2385/2650 - loss 0.02812970 - time (sec): 164.88 - samples/sec: 7993.10 - lr: 0.025000 +2023-04-06 10:54:17,352 epoch 109 - iter 2650/2650 - loss 0.02816454 - time (sec): 182.83 - samples/sec: 7998.34 - lr: 0.025000 +2023-04-06 10:54:17,352 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:54:17,352 EPOCH 109 done: loss 0.0282 - lr 0.025000 +2023-04-06 10:54:17,352 BAD EPOCHS (no improvement): 0 +2023-04-06 10:54:17,356 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:54:35,804 epoch 110 - iter 265/2650 - loss 0.02819089 - time (sec): 18.45 - samples/sec: 7983.71 - lr: 0.025000 +2023-04-06 10:54:53,823 epoch 110 - iter 530/2650 - loss 0.02810899 - time (sec): 36.47 - samples/sec: 8039.44 - lr: 0.025000 +2023-04-06 10:55:11,908 epoch 110 - iter 795/2650 - loss 0.02862162 - time (sec): 54.55 - samples/sec: 8028.92 - lr: 0.025000 +2023-04-06 10:55:30,570 epoch 110 - iter 1060/2650 - loss 0.02866965 - time (sec): 73.21 - samples/sec: 8001.92 - lr: 0.025000 +2023-04-06 10:55:48,963 epoch 110 - iter 1325/2650 - loss 0.02853119 - time (sec): 91.61 - samples/sec: 8001.01 - lr: 0.025000 +2023-04-06 10:56:07,567 epoch 110 - iter 1590/2650 - loss 0.02840010 - time (sec): 110.21 - samples/sec: 7990.35 - lr: 0.025000 +2023-04-06 10:56:25,750 epoch 110 - iter 1855/2650 - loss 0.02829936 - time (sec): 128.39 - samples/sec: 7989.72 - lr: 0.025000 +2023-04-06 10:56:43,956 epoch 110 - iter 2120/2650 - loss 0.02819741 - time (sec): 146.60 - samples/sec: 7992.95 - lr: 0.025000 +2023-04-06 10:57:02,122 epoch 110 - iter 2385/2650 - loss 0.02810957 - time (sec): 164.77 - samples/sec: 7996.54 - lr: 0.025000 +2023-04-06 10:57:20,289 epoch 110 - iter 2650/2650 - loss 0.02812904 - time (sec): 182.93 - samples/sec: 7993.96 - lr: 0.025000 +2023-04-06 10:57:20,289 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:57:20,289 EPOCH 110 done: loss 0.0281 - lr 0.025000 +2023-04-06 10:57:20,290 BAD EPOCHS (no improvement): 0 +2023-04-06 10:57:20,292 ---------------------------------------------------------------------------------------------------- +2023-04-06 10:57:38,530 epoch 111 - iter 265/2650 - loss 0.02855048 - time (sec): 18.24 - samples/sec: 7975.23 - lr: 0.025000 +2023-04-06 10:57:56,464 epoch 111 - iter 530/2650 - loss 0.02866215 - time (sec): 36.17 - samples/sec: 7999.78 - lr: 0.025000 +2023-04-06 10:58:14,586 epoch 111 - iter 795/2650 - loss 0.02813147 - time (sec): 54.29 - samples/sec: 8018.65 - lr: 0.025000 +2023-04-06 10:58:33,020 epoch 111 - iter 1060/2650 - loss 0.02819211 - time (sec): 72.73 - samples/sec: 8007.02 - lr: 0.025000 +2023-04-06 10:58:51,370 epoch 111 - iter 1325/2650 - loss 0.02811289 - time (sec): 91.08 - samples/sec: 7992.03 - lr: 0.025000 +2023-04-06 10:59:09,773 epoch 111 - iter 1590/2650 - loss 0.02803792 - time (sec): 109.48 - samples/sec: 7996.50 - lr: 0.025000 +2023-04-06 10:59:27,729 epoch 111 - iter 1855/2650 - loss 0.02802278 - time (sec): 127.44 - samples/sec: 8017.73 - lr: 0.025000 +2023-04-06 10:59:45,523 epoch 111 - iter 2120/2650 - loss 0.02800724 - time (sec): 145.23 - samples/sec: 8041.65 - lr: 0.025000 +2023-04-06 11:00:04,234 epoch 111 - iter 2385/2650 - loss 0.02806012 - time (sec): 163.94 - samples/sec: 8022.13 - lr: 0.025000 +2023-04-06 11:00:22,498 epoch 111 - iter 2650/2650 - loss 0.02808036 - time (sec): 182.21 - samples/sec: 8025.89 - lr: 0.025000 +2023-04-06 11:00:22,498 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:00:22,498 EPOCH 111 done: loss 0.0281 - lr 0.025000 +2023-04-06 11:00:22,498 BAD EPOCHS (no improvement): 0 +2023-04-06 11:00:22,500 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:00:41,432 epoch 112 - iter 265/2650 - loss 0.02808795 - time (sec): 18.93 - samples/sec: 7794.32 - lr: 0.025000 +2023-04-06 11:00:59,609 epoch 112 - iter 530/2650 - loss 0.02831789 - time (sec): 37.11 - samples/sec: 7894.26 - lr: 0.025000 +2023-04-06 11:01:17,776 epoch 112 - iter 795/2650 - loss 0.02850330 - time (sec): 55.28 - samples/sec: 7945.23 - lr: 0.025000 +2023-04-06 11:01:36,236 epoch 112 - iter 1060/2650 - loss 0.02843828 - time (sec): 73.74 - samples/sec: 7959.14 - lr: 0.025000 +2023-04-06 11:01:54,266 epoch 112 - iter 1325/2650 - loss 0.02827085 - time (sec): 91.77 - samples/sec: 7979.62 - lr: 0.025000 +2023-04-06 11:02:12,449 epoch 112 - iter 1590/2650 - loss 0.02806191 - time (sec): 109.95 - samples/sec: 7985.45 - lr: 0.025000 +2023-04-06 11:02:30,007 epoch 112 - iter 1855/2650 - loss 0.02814577 - time (sec): 127.51 - samples/sec: 8011.80 - lr: 0.025000 +2023-04-06 11:02:48,013 epoch 112 - iter 2120/2650 - loss 0.02815071 - time (sec): 145.51 - samples/sec: 8023.49 - lr: 0.025000 +2023-04-06 11:03:06,820 epoch 112 - iter 2385/2650 - loss 0.02809798 - time (sec): 164.32 - samples/sec: 8001.24 - lr: 0.025000 +2023-04-06 11:03:25,641 epoch 112 - iter 2650/2650 - loss 0.02820890 - time (sec): 183.14 - samples/sec: 7984.93 - lr: 0.025000 +2023-04-06 11:03:25,641 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:03:25,641 EPOCH 112 done: loss 0.0282 - lr 0.025000 +2023-04-06 11:03:25,641 BAD EPOCHS (no improvement): 1 +2023-04-06 11:03:25,644 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:03:43,743 epoch 113 - iter 265/2650 - loss 0.02898648 - time (sec): 18.10 - samples/sec: 8009.77 - lr: 0.025000 +2023-04-06 11:04:01,789 epoch 113 - iter 530/2650 - loss 0.02891836 - time (sec): 36.14 - samples/sec: 8049.98 - lr: 0.025000 +2023-04-06 11:04:20,098 epoch 113 - iter 795/2650 - loss 0.02844602 - time (sec): 54.45 - samples/sec: 8039.41 - lr: 0.025000 +2023-04-06 11:04:38,438 epoch 113 - iter 1060/2650 - loss 0.02833292 - time (sec): 72.79 - samples/sec: 8034.37 - lr: 0.025000 +2023-04-06 11:04:57,036 epoch 113 - iter 1325/2650 - loss 0.02816762 - time (sec): 91.39 - samples/sec: 8009.38 - lr: 0.025000 +2023-04-06 11:05:14,956 epoch 113 - iter 1590/2650 - loss 0.02802957 - time (sec): 109.31 - samples/sec: 8027.39 - lr: 0.025000 +2023-04-06 11:05:33,653 epoch 113 - iter 1855/2650 - loss 0.02811505 - time (sec): 128.01 - samples/sec: 8005.99 - lr: 0.025000 +2023-04-06 11:05:51,957 epoch 113 - iter 2120/2650 - loss 0.02822114 - time (sec): 146.31 - samples/sec: 8001.12 - lr: 0.025000 +2023-04-06 11:06:10,453 epoch 113 - iter 2385/2650 - loss 0.02823519 - time (sec): 164.81 - samples/sec: 7990.13 - lr: 0.025000 +2023-04-06 11:06:28,417 epoch 113 - iter 2650/2650 - loss 0.02815070 - time (sec): 182.77 - samples/sec: 8000.99 - lr: 0.025000 +2023-04-06 11:06:28,417 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:06:28,417 EPOCH 113 done: loss 0.0282 - lr 0.025000 +2023-04-06 11:06:28,417 BAD EPOCHS (no improvement): 2 +2023-04-06 11:06:28,421 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:06:46,642 epoch 114 - iter 265/2650 - loss 0.02741600 - time (sec): 18.22 - samples/sec: 8015.99 - lr: 0.025000 +2023-04-06 11:07:05,139 epoch 114 - iter 530/2650 - loss 0.02760826 - time (sec): 36.72 - samples/sec: 7996.71 - lr: 0.025000 +2023-04-06 11:07:23,068 epoch 114 - iter 795/2650 - loss 0.02764054 - time (sec): 54.65 - samples/sec: 8050.61 - lr: 0.025000 +2023-04-06 11:07:41,206 epoch 114 - iter 1060/2650 - loss 0.02786044 - time (sec): 72.79 - samples/sec: 8056.92 - lr: 0.025000 +2023-04-06 11:07:59,240 epoch 114 - iter 1325/2650 - loss 0.02799111 - time (sec): 90.82 - samples/sec: 8045.08 - lr: 0.025000 +2023-04-06 11:08:17,297 epoch 114 - iter 1590/2650 - loss 0.02809860 - time (sec): 108.88 - samples/sec: 8047.92 - lr: 0.025000 +2023-04-06 11:08:35,490 epoch 114 - iter 1855/2650 - loss 0.02803108 - time (sec): 127.07 - samples/sec: 8048.95 - lr: 0.025000 +2023-04-06 11:08:53,772 epoch 114 - iter 2120/2650 - loss 0.02816532 - time (sec): 145.35 - samples/sec: 8043.45 - lr: 0.025000 +2023-04-06 11:09:12,143 epoch 114 - iter 2385/2650 - loss 0.02810536 - time (sec): 163.72 - samples/sec: 8044.44 - lr: 0.025000 +2023-04-06 11:09:30,193 epoch 114 - iter 2650/2650 - loss 0.02812922 - time (sec): 181.77 - samples/sec: 8045.04 - lr: 0.025000 +2023-04-06 11:09:30,193 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:09:30,193 EPOCH 114 done: loss 0.0281 - lr 0.025000 +2023-04-06 11:09:30,193 BAD EPOCHS (no improvement): 3 +2023-04-06 11:09:30,196 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:09:48,332 epoch 115 - iter 265/2650 - loss 0.02642194 - time (sec): 18.14 - samples/sec: 8056.22 - lr: 0.025000 +2023-04-06 11:10:06,143 epoch 115 - iter 530/2650 - loss 0.02724488 - time (sec): 35.95 - samples/sec: 8095.78 - lr: 0.025000 +2023-04-06 11:10:24,195 epoch 115 - iter 795/2650 - loss 0.02775477 - time (sec): 54.00 - samples/sec: 8099.44 - lr: 0.025000 +2023-04-06 11:10:42,864 epoch 115 - iter 1060/2650 - loss 0.02758944 - time (sec): 72.67 - samples/sec: 8057.12 - lr: 0.025000 +2023-04-06 11:11:01,183 epoch 115 - iter 1325/2650 - loss 0.02776471 - time (sec): 90.99 - samples/sec: 8052.54 - lr: 0.025000 +2023-04-06 11:11:20,119 epoch 115 - iter 1590/2650 - loss 0.02767564 - time (sec): 109.92 - samples/sec: 8002.77 - lr: 0.025000 +2023-04-06 11:11:38,689 epoch 115 - iter 1855/2650 - loss 0.02762188 - time (sec): 128.49 - samples/sec: 7983.78 - lr: 0.025000 +2023-04-06 11:11:56,871 epoch 115 - iter 2120/2650 - loss 0.02761635 - time (sec): 146.68 - samples/sec: 7991.74 - lr: 0.025000 +2023-04-06 11:12:15,478 epoch 115 - iter 2385/2650 - loss 0.02763510 - time (sec): 165.28 - samples/sec: 7978.50 - lr: 0.025000 +2023-04-06 11:12:33,710 epoch 115 - iter 2650/2650 - loss 0.02761561 - time (sec): 183.51 - samples/sec: 7968.67 - lr: 0.025000 +2023-04-06 11:12:33,710 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:12:33,710 EPOCH 115 done: loss 0.0276 - lr 0.025000 +2023-04-06 11:12:33,710 BAD EPOCHS (no improvement): 0 +2023-04-06 11:12:33,713 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:12:51,819 epoch 116 - iter 265/2650 - loss 0.02617465 - time (sec): 18.11 - samples/sec: 8163.29 - lr: 0.025000 +2023-04-06 11:13:10,372 epoch 116 - iter 530/2650 - loss 0.02674889 - time (sec): 36.66 - samples/sec: 7997.60 - lr: 0.025000 +2023-04-06 11:13:29,014 epoch 116 - iter 795/2650 - loss 0.02690283 - time (sec): 55.30 - samples/sec: 7927.93 - lr: 0.025000 +2023-04-06 11:13:47,946 epoch 116 - iter 1060/2650 - loss 0.02693925 - time (sec): 74.23 - samples/sec: 7876.87 - lr: 0.025000 +2023-04-06 11:14:06,545 epoch 116 - iter 1325/2650 - loss 0.02710702 - time (sec): 92.83 - samples/sec: 7865.81 - lr: 0.025000 +2023-04-06 11:14:24,844 epoch 116 - iter 1590/2650 - loss 0.02732330 - time (sec): 111.13 - samples/sec: 7879.62 - lr: 0.025000 +2023-04-06 11:14:43,377 epoch 116 - iter 1855/2650 - loss 0.02752942 - time (sec): 129.66 - samples/sec: 7876.93 - lr: 0.025000 +2023-04-06 11:15:02,039 epoch 116 - iter 2120/2650 - loss 0.02749707 - time (sec): 148.33 - samples/sec: 7868.83 - lr: 0.025000 +2023-04-06 11:15:20,693 epoch 116 - iter 2385/2650 - loss 0.02765499 - time (sec): 166.98 - samples/sec: 7873.75 - lr: 0.025000 +2023-04-06 11:15:39,041 epoch 116 - iter 2650/2650 - loss 0.02767956 - time (sec): 185.33 - samples/sec: 7890.68 - lr: 0.025000 +2023-04-06 11:15:39,041 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:15:39,041 EPOCH 116 done: loss 0.0277 - lr 0.025000 +2023-04-06 11:15:39,041 BAD EPOCHS (no improvement): 1 +2023-04-06 11:15:39,047 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:15:57,399 epoch 117 - iter 265/2650 - loss 0.02710422 - time (sec): 18.35 - samples/sec: 7940.88 - lr: 0.025000 +2023-04-06 11:16:15,482 epoch 117 - iter 530/2650 - loss 0.02777508 - time (sec): 36.43 - samples/sec: 7965.48 - lr: 0.025000 +2023-04-06 11:16:34,431 epoch 117 - iter 795/2650 - loss 0.02746774 - time (sec): 55.38 - samples/sec: 7907.87 - lr: 0.025000 +2023-04-06 11:16:52,832 epoch 117 - iter 1060/2650 - loss 0.02734153 - time (sec): 73.78 - samples/sec: 7897.92 - lr: 0.025000 +2023-04-06 11:17:10,960 epoch 117 - iter 1325/2650 - loss 0.02713756 - time (sec): 91.91 - samples/sec: 7925.78 - lr: 0.025000 +2023-04-06 11:17:29,689 epoch 117 - iter 1590/2650 - loss 0.02742410 - time (sec): 110.64 - samples/sec: 7907.91 - lr: 0.025000 +2023-04-06 11:17:47,677 epoch 117 - iter 1855/2650 - loss 0.02747933 - time (sec): 128.63 - samples/sec: 7942.46 - lr: 0.025000 +2023-04-06 11:18:05,844 epoch 117 - iter 2120/2650 - loss 0.02756131 - time (sec): 146.80 - samples/sec: 7957.84 - lr: 0.025000 +2023-04-06 11:18:24,363 epoch 117 - iter 2385/2650 - loss 0.02758241 - time (sec): 165.32 - samples/sec: 7955.57 - lr: 0.025000 +2023-04-06 11:18:42,797 epoch 117 - iter 2650/2650 - loss 0.02770073 - time (sec): 183.75 - samples/sec: 7958.46 - lr: 0.025000 +2023-04-06 11:18:42,797 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:18:42,797 EPOCH 117 done: loss 0.0277 - lr 0.025000 +2023-04-06 11:18:42,797 BAD EPOCHS (no improvement): 2 +2023-04-06 11:18:42,800 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:19:01,029 epoch 118 - iter 265/2650 - loss 0.02797587 - time (sec): 18.23 - samples/sec: 8037.77 - lr: 0.025000 +2023-04-06 11:19:19,013 epoch 118 - iter 530/2650 - loss 0.02758550 - time (sec): 36.21 - samples/sec: 8051.72 - lr: 0.025000 +2023-04-06 11:19:37,533 epoch 118 - iter 795/2650 - loss 0.02746952 - time (sec): 54.73 - samples/sec: 8018.84 - lr: 0.025000 +2023-04-06 11:19:56,253 epoch 118 - iter 1060/2650 - loss 0.02749424 - time (sec): 73.45 - samples/sec: 7965.11 - lr: 0.025000 +2023-04-06 11:20:14,416 epoch 118 - iter 1325/2650 - loss 0.02744679 - time (sec): 91.62 - samples/sec: 7971.53 - lr: 0.025000 +2023-04-06 11:20:33,008 epoch 118 - iter 1590/2650 - loss 0.02748469 - time (sec): 110.21 - samples/sec: 7961.45 - lr: 0.025000 +2023-04-06 11:20:51,488 epoch 118 - iter 1855/2650 - loss 0.02757637 - time (sec): 128.69 - samples/sec: 7960.08 - lr: 0.025000 +2023-04-06 11:21:10,038 epoch 118 - iter 2120/2650 - loss 0.02767669 - time (sec): 147.24 - samples/sec: 7953.23 - lr: 0.025000 +2023-04-06 11:21:28,463 epoch 118 - iter 2385/2650 - loss 0.02760613 - time (sec): 165.66 - samples/sec: 7950.46 - lr: 0.025000 +2023-04-06 11:21:46,499 epoch 118 - iter 2650/2650 - loss 0.02763548 - time (sec): 183.70 - samples/sec: 7960.66 - lr: 0.025000 +2023-04-06 11:21:46,499 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:21:46,499 EPOCH 118 done: loss 0.0276 - lr 0.025000 +2023-04-06 11:21:46,499 BAD EPOCHS (no improvement): 3 +2023-04-06 11:21:46,502 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:22:04,802 epoch 119 - iter 265/2650 - loss 0.02752910 - time (sec): 18.30 - samples/sec: 7938.03 - lr: 0.025000 +2023-04-06 11:22:23,137 epoch 119 - iter 530/2650 - loss 0.02707297 - time (sec): 36.64 - samples/sec: 7955.01 - lr: 0.025000 +2023-04-06 11:22:41,775 epoch 119 - iter 795/2650 - loss 0.02731471 - time (sec): 55.27 - samples/sec: 7931.66 - lr: 0.025000 +2023-04-06 11:22:59,851 epoch 119 - iter 1060/2650 - loss 0.02744191 - time (sec): 73.35 - samples/sec: 7950.94 - lr: 0.025000 +2023-04-06 11:23:17,941 epoch 119 - iter 1325/2650 - loss 0.02747602 - time (sec): 91.44 - samples/sec: 7989.23 - lr: 0.025000 +2023-04-06 11:23:36,001 epoch 119 - iter 1590/2650 - loss 0.02734308 - time (sec): 109.50 - samples/sec: 8003.02 - lr: 0.025000 +2023-04-06 11:23:54,682 epoch 119 - iter 1855/2650 - loss 0.02731932 - time (sec): 128.18 - samples/sec: 7985.70 - lr: 0.025000 +2023-04-06 11:24:12,521 epoch 119 - iter 2120/2650 - loss 0.02726512 - time (sec): 146.02 - samples/sec: 8000.03 - lr: 0.025000 +2023-04-06 11:24:31,099 epoch 119 - iter 2385/2650 - loss 0.02742967 - time (sec): 164.60 - samples/sec: 7987.77 - lr: 0.025000 +2023-04-06 11:24:49,657 epoch 119 - iter 2650/2650 - loss 0.02742113 - time (sec): 183.15 - samples/sec: 7984.30 - lr: 0.025000 +2023-04-06 11:24:49,657 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:24:49,657 EPOCH 119 done: loss 0.0274 - lr 0.025000 +2023-04-06 11:24:49,657 BAD EPOCHS (no improvement): 0 +2023-04-06 11:24:49,660 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:25:08,231 epoch 120 - iter 265/2650 - loss 0.02703443 - time (sec): 18.57 - samples/sec: 7933.66 - lr: 0.025000 +2023-04-06 11:25:26,301 epoch 120 - iter 530/2650 - loss 0.02777405 - time (sec): 36.64 - samples/sec: 7953.95 - lr: 0.025000 +2023-04-06 11:25:44,655 epoch 120 - iter 795/2650 - loss 0.02756376 - time (sec): 55.00 - samples/sec: 7961.56 - lr: 0.025000 +2023-04-06 11:26:03,159 epoch 120 - iter 1060/2650 - loss 0.02705291 - time (sec): 73.50 - samples/sec: 7950.27 - lr: 0.025000 +2023-04-06 11:26:21,930 epoch 120 - iter 1325/2650 - loss 0.02714080 - time (sec): 92.27 - samples/sec: 7922.87 - lr: 0.025000 +2023-04-06 11:26:40,399 epoch 120 - iter 1590/2650 - loss 0.02719704 - time (sec): 110.74 - samples/sec: 7922.52 - lr: 0.025000 +2023-04-06 11:26:58,456 epoch 120 - iter 1855/2650 - loss 0.02704220 - time (sec): 128.80 - samples/sec: 7941.13 - lr: 0.025000 +2023-04-06 11:27:16,936 epoch 120 - iter 2120/2650 - loss 0.02702062 - time (sec): 147.28 - samples/sec: 7940.86 - lr: 0.025000 +2023-04-06 11:27:34,925 epoch 120 - iter 2385/2650 - loss 0.02705738 - time (sec): 165.27 - samples/sec: 7956.80 - lr: 0.025000 +2023-04-06 11:27:53,588 epoch 120 - iter 2650/2650 - loss 0.02706860 - time (sec): 183.93 - samples/sec: 7950.73 - lr: 0.025000 +2023-04-06 11:27:53,588 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:27:53,588 EPOCH 120 done: loss 0.0271 - lr 0.025000 +2023-04-06 11:27:53,589 BAD EPOCHS (no improvement): 0 +2023-04-06 11:27:53,592 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:28:12,051 epoch 121 - iter 265/2650 - loss 0.02663318 - time (sec): 18.46 - samples/sec: 7915.37 - lr: 0.025000 +2023-04-06 11:28:30,166 epoch 121 - iter 530/2650 - loss 0.02774453 - time (sec): 36.57 - samples/sec: 7996.20 - lr: 0.025000 +2023-04-06 11:28:48,465 epoch 121 - iter 795/2650 - loss 0.02736845 - time (sec): 54.87 - samples/sec: 7978.36 - lr: 0.025000 +2023-04-06 11:29:06,875 epoch 121 - iter 1060/2650 - loss 0.02723638 - time (sec): 73.28 - samples/sec: 7978.76 - lr: 0.025000 +2023-04-06 11:29:24,909 epoch 121 - iter 1325/2650 - loss 0.02701161 - time (sec): 91.32 - samples/sec: 7984.78 - lr: 0.025000 +2023-04-06 11:29:43,261 epoch 121 - iter 1590/2650 - loss 0.02705523 - time (sec): 109.67 - samples/sec: 7986.11 - lr: 0.025000 +2023-04-06 11:30:01,878 epoch 121 - iter 1855/2650 - loss 0.02727763 - time (sec): 128.29 - samples/sec: 7966.00 - lr: 0.025000 +2023-04-06 11:30:20,311 epoch 121 - iter 2120/2650 - loss 0.02735824 - time (sec): 146.72 - samples/sec: 7966.56 - lr: 0.025000 +2023-04-06 11:30:38,958 epoch 121 - iter 2385/2650 - loss 0.02740457 - time (sec): 165.37 - samples/sec: 7950.48 - lr: 0.025000 +2023-04-06 11:30:57,536 epoch 121 - iter 2650/2650 - loss 0.02743156 - time (sec): 183.94 - samples/sec: 7950.05 - lr: 0.025000 +2023-04-06 11:30:57,536 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:30:57,536 EPOCH 121 done: loss 0.0274 - lr 0.025000 +2023-04-06 11:30:57,536 BAD EPOCHS (no improvement): 1 +2023-04-06 11:30:57,540 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:31:15,835 epoch 122 - iter 265/2650 - loss 0.02648890 - time (sec): 18.30 - samples/sec: 7960.00 - lr: 0.025000 +2023-04-06 11:31:34,129 epoch 122 - iter 530/2650 - loss 0.02701858 - time (sec): 36.59 - samples/sec: 7965.50 - lr: 0.025000 +2023-04-06 11:31:52,557 epoch 122 - iter 795/2650 - loss 0.02679734 - time (sec): 55.02 - samples/sec: 7955.97 - lr: 0.025000 +2023-04-06 11:32:10,478 epoch 122 - iter 1060/2650 - loss 0.02698865 - time (sec): 72.94 - samples/sec: 7989.96 - lr: 0.025000 +2023-04-06 11:32:28,863 epoch 122 - iter 1325/2650 - loss 0.02706848 - time (sec): 91.32 - samples/sec: 7986.76 - lr: 0.025000 +2023-04-06 11:32:47,491 epoch 122 - iter 1590/2650 - loss 0.02729401 - time (sec): 109.95 - samples/sec: 7963.55 - lr: 0.025000 +2023-04-06 11:33:06,528 epoch 122 - iter 1855/2650 - loss 0.02734037 - time (sec): 128.99 - samples/sec: 7930.76 - lr: 0.025000 +2023-04-06 11:33:24,554 epoch 122 - iter 2120/2650 - loss 0.02724864 - time (sec): 147.01 - samples/sec: 7953.13 - lr: 0.025000 +2023-04-06 11:33:42,906 epoch 122 - iter 2385/2650 - loss 0.02729012 - time (sec): 165.37 - samples/sec: 7969.13 - lr: 0.025000 +2023-04-06 11:34:01,222 epoch 122 - iter 2650/2650 - loss 0.02736804 - time (sec): 183.68 - samples/sec: 7961.38 - lr: 0.025000 +2023-04-06 11:34:01,222 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:34:01,222 EPOCH 122 done: loss 0.0274 - lr 0.025000 +2023-04-06 11:34:01,222 BAD EPOCHS (no improvement): 2 +2023-04-06 11:34:01,225 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:34:19,429 epoch 123 - iter 265/2650 - loss 0.02816273 - time (sec): 18.20 - samples/sec: 8017.71 - lr: 0.025000 +2023-04-06 11:34:37,919 epoch 123 - iter 530/2650 - loss 0.02741931 - time (sec): 36.69 - samples/sec: 7937.68 - lr: 0.025000 +2023-04-06 11:34:56,200 epoch 123 - iter 795/2650 - loss 0.02729499 - time (sec): 54.97 - samples/sec: 7969.17 - lr: 0.025000 +2023-04-06 11:35:14,449 epoch 123 - iter 1060/2650 - loss 0.02723887 - time (sec): 73.22 - samples/sec: 8004.44 - lr: 0.025000 +2023-04-06 11:35:32,732 epoch 123 - iter 1325/2650 - loss 0.02712680 - time (sec): 91.51 - samples/sec: 8008.83 - lr: 0.025000 +2023-04-06 11:35:50,675 epoch 123 - iter 1590/2650 - loss 0.02735669 - time (sec): 109.45 - samples/sec: 8021.39 - lr: 0.025000 +2023-04-06 11:36:09,295 epoch 123 - iter 1855/2650 - loss 0.02759161 - time (sec): 128.07 - samples/sec: 8008.45 - lr: 0.025000 +2023-04-06 11:36:27,713 epoch 123 - iter 2120/2650 - loss 0.02748687 - time (sec): 146.49 - samples/sec: 7989.42 - lr: 0.025000 +2023-04-06 11:36:46,527 epoch 123 - iter 2385/2650 - loss 0.02742551 - time (sec): 165.30 - samples/sec: 7970.08 - lr: 0.025000 +2023-04-06 11:37:04,768 epoch 123 - iter 2650/2650 - loss 0.02741615 - time (sec): 183.54 - samples/sec: 7967.44 - lr: 0.025000 +2023-04-06 11:37:04,768 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:37:04,768 EPOCH 123 done: loss 0.0274 - lr 0.025000 +2023-04-06 11:37:04,768 BAD EPOCHS (no improvement): 3 +2023-04-06 11:37:04,772 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:37:23,865 epoch 124 - iter 265/2650 - loss 0.02646129 - time (sec): 19.09 - samples/sec: 7712.25 - lr: 0.025000 +2023-04-06 11:37:42,463 epoch 124 - iter 530/2650 - loss 0.02690138 - time (sec): 37.69 - samples/sec: 7821.90 - lr: 0.025000 +2023-04-06 11:38:00,326 epoch 124 - iter 795/2650 - loss 0.02709115 - time (sec): 55.55 - samples/sec: 7919.42 - lr: 0.025000 +2023-04-06 11:38:18,657 epoch 124 - iter 1060/2650 - loss 0.02694646 - time (sec): 73.89 - samples/sec: 7921.79 - lr: 0.025000 +2023-04-06 11:38:36,740 epoch 124 - iter 1325/2650 - loss 0.02670769 - time (sec): 91.97 - samples/sec: 7946.12 - lr: 0.025000 +2023-04-06 11:38:54,952 epoch 124 - iter 1590/2650 - loss 0.02669745 - time (sec): 110.18 - samples/sec: 7945.28 - lr: 0.025000 +2023-04-06 11:39:13,130 epoch 124 - iter 1855/2650 - loss 0.02681020 - time (sec): 128.36 - samples/sec: 7952.11 - lr: 0.025000 +2023-04-06 11:39:31,763 epoch 124 - iter 2120/2650 - loss 0.02677323 - time (sec): 146.99 - samples/sec: 7950.24 - lr: 0.025000 +2023-04-06 11:39:50,284 epoch 124 - iter 2385/2650 - loss 0.02690120 - time (sec): 165.51 - samples/sec: 7947.35 - lr: 0.025000 +2023-04-06 11:40:08,990 epoch 124 - iter 2650/2650 - loss 0.02699719 - time (sec): 184.22 - samples/sec: 7938.21 - lr: 0.025000 +2023-04-06 11:40:08,990 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:40:08,990 EPOCH 124 done: loss 0.0270 - lr 0.025000 +2023-04-06 11:40:08,990 BAD EPOCHS (no improvement): 0 +2023-04-06 11:40:08,994 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:40:27,302 epoch 125 - iter 265/2650 - loss 0.02612355 - time (sec): 18.31 - samples/sec: 7980.90 - lr: 0.025000 +2023-04-06 11:40:45,619 epoch 125 - iter 530/2650 - loss 0.02611982 - time (sec): 36.63 - samples/sec: 8018.43 - lr: 0.025000 +2023-04-06 11:41:03,800 epoch 125 - iter 795/2650 - loss 0.02650682 - time (sec): 54.81 - samples/sec: 8000.01 - lr: 0.025000 +2023-04-06 11:41:21,887 epoch 125 - iter 1060/2650 - loss 0.02674618 - time (sec): 72.89 - samples/sec: 8013.77 - lr: 0.025000 +2023-04-06 11:41:40,560 epoch 125 - iter 1325/2650 - loss 0.02697408 - time (sec): 91.57 - samples/sec: 7988.32 - lr: 0.025000 +2023-04-06 11:41:59,118 epoch 125 - iter 1590/2650 - loss 0.02720237 - time (sec): 110.12 - samples/sec: 7977.78 - lr: 0.025000 +2023-04-06 11:42:17,490 epoch 125 - iter 1855/2650 - loss 0.02707398 - time (sec): 128.50 - samples/sec: 7971.66 - lr: 0.025000 +2023-04-06 11:42:36,082 epoch 125 - iter 2120/2650 - loss 0.02707733 - time (sec): 147.09 - samples/sec: 7952.63 - lr: 0.025000 +2023-04-06 11:42:54,892 epoch 125 - iter 2385/2650 - loss 0.02706838 - time (sec): 165.90 - samples/sec: 7939.21 - lr: 0.025000 +2023-04-06 11:43:13,634 epoch 125 - iter 2650/2650 - loss 0.02710298 - time (sec): 184.64 - samples/sec: 7920.06 - lr: 0.025000 +2023-04-06 11:43:13,634 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:43:13,634 EPOCH 125 done: loss 0.0271 - lr 0.025000 +2023-04-06 11:43:13,634 BAD EPOCHS (no improvement): 1 +2023-04-06 11:43:13,637 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:43:32,527 epoch 126 - iter 265/2650 - loss 0.02743903 - time (sec): 18.89 - samples/sec: 7734.76 - lr: 0.025000 +2023-04-06 11:43:50,738 epoch 126 - iter 530/2650 - loss 0.02685659 - time (sec): 37.10 - samples/sec: 7902.17 - lr: 0.025000 +2023-04-06 11:44:08,977 epoch 126 - iter 795/2650 - loss 0.02654346 - time (sec): 55.34 - samples/sec: 7931.14 - lr: 0.025000 +2023-04-06 11:44:27,292 epoch 126 - iter 1060/2650 - loss 0.02703749 - time (sec): 73.65 - samples/sec: 7962.44 - lr: 0.025000 +2023-04-06 11:44:45,598 epoch 126 - iter 1325/2650 - loss 0.02698742 - time (sec): 91.96 - samples/sec: 7957.09 - lr: 0.025000 +2023-04-06 11:45:04,408 epoch 126 - iter 1590/2650 - loss 0.02698185 - time (sec): 110.77 - samples/sec: 7942.67 - lr: 0.025000 +2023-04-06 11:45:23,136 epoch 126 - iter 1855/2650 - loss 0.02692939 - time (sec): 129.50 - samples/sec: 7921.85 - lr: 0.025000 +2023-04-06 11:45:41,193 epoch 126 - iter 2120/2650 - loss 0.02671943 - time (sec): 147.56 - samples/sec: 7944.55 - lr: 0.025000 +2023-04-06 11:45:59,173 epoch 126 - iter 2385/2650 - loss 0.02674861 - time (sec): 165.54 - samples/sec: 7956.15 - lr: 0.025000 +2023-04-06 11:46:17,458 epoch 126 - iter 2650/2650 - loss 0.02676811 - time (sec): 183.82 - samples/sec: 7955.37 - lr: 0.025000 +2023-04-06 11:46:17,458 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:46:17,458 EPOCH 126 done: loss 0.0268 - lr 0.025000 +2023-04-06 11:46:17,458 BAD EPOCHS (no improvement): 0 +2023-04-06 11:46:17,461 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:46:35,805 epoch 127 - iter 265/2650 - loss 0.02618426 - time (sec): 18.34 - samples/sec: 8018.78 - lr: 0.025000 +2023-04-06 11:46:53,811 epoch 127 - iter 530/2650 - loss 0.02626006 - time (sec): 36.35 - samples/sec: 8081.77 - lr: 0.025000 +2023-04-06 11:47:11,865 epoch 127 - iter 795/2650 - loss 0.02621834 - time (sec): 54.40 - samples/sec: 8068.99 - lr: 0.025000 +2023-04-06 11:47:30,217 epoch 127 - iter 1060/2650 - loss 0.02653584 - time (sec): 72.76 - samples/sec: 8056.77 - lr: 0.025000 +2023-04-06 11:47:48,299 epoch 127 - iter 1325/2650 - loss 0.02668489 - time (sec): 90.84 - samples/sec: 8059.96 - lr: 0.025000 +2023-04-06 11:48:06,451 epoch 127 - iter 1590/2650 - loss 0.02684528 - time (sec): 108.99 - samples/sec: 8057.49 - lr: 0.025000 +2023-04-06 11:48:24,972 epoch 127 - iter 1855/2650 - loss 0.02680900 - time (sec): 127.51 - samples/sec: 8044.89 - lr: 0.025000 +2023-04-06 11:48:43,279 epoch 127 - iter 2120/2650 - loss 0.02690088 - time (sec): 145.82 - samples/sec: 8030.53 - lr: 0.025000 +2023-04-06 11:49:02,202 epoch 127 - iter 2385/2650 - loss 0.02698646 - time (sec): 164.74 - samples/sec: 7994.46 - lr: 0.025000 +2023-04-06 11:49:20,833 epoch 127 - iter 2650/2650 - loss 0.02693606 - time (sec): 183.37 - samples/sec: 7974.86 - lr: 0.025000 +2023-04-06 11:49:20,833 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:49:20,833 EPOCH 127 done: loss 0.0269 - lr 0.025000 +2023-04-06 11:49:20,833 BAD EPOCHS (no improvement): 1 +2023-04-06 11:49:20,840 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:49:39,368 epoch 128 - iter 265/2650 - loss 0.02682269 - time (sec): 18.53 - samples/sec: 7811.95 - lr: 0.025000 +2023-04-06 11:49:58,403 epoch 128 - iter 530/2650 - loss 0.02695510 - time (sec): 37.56 - samples/sec: 7782.27 - lr: 0.025000 +2023-04-06 11:50:16,872 epoch 128 - iter 795/2650 - loss 0.02694181 - time (sec): 56.03 - samples/sec: 7813.08 - lr: 0.025000 +2023-04-06 11:50:35,601 epoch 128 - iter 1060/2650 - loss 0.02707570 - time (sec): 74.76 - samples/sec: 7832.97 - lr: 0.025000 +2023-04-06 11:50:54,128 epoch 128 - iter 1325/2650 - loss 0.02689029 - time (sec): 93.29 - samples/sec: 7862.72 - lr: 0.025000 +2023-04-06 11:51:12,514 epoch 128 - iter 1590/2650 - loss 0.02684079 - time (sec): 111.67 - samples/sec: 7864.69 - lr: 0.025000 +2023-04-06 11:51:30,989 epoch 128 - iter 1855/2650 - loss 0.02693136 - time (sec): 130.15 - samples/sec: 7873.07 - lr: 0.025000 +2023-04-06 11:51:49,240 epoch 128 - iter 2120/2650 - loss 0.02697595 - time (sec): 148.40 - samples/sec: 7891.21 - lr: 0.025000 +2023-04-06 11:52:07,661 epoch 128 - iter 2385/2650 - loss 0.02695683 - time (sec): 166.82 - samples/sec: 7898.71 - lr: 0.025000 +2023-04-06 11:52:25,603 epoch 128 - iter 2650/2650 - loss 0.02683529 - time (sec): 184.76 - samples/sec: 7914.81 - lr: 0.025000 +2023-04-06 11:52:25,603 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:52:25,603 EPOCH 128 done: loss 0.0268 - lr 0.025000 +2023-04-06 11:52:25,603 BAD EPOCHS (no improvement): 2 +2023-04-06 11:52:25,607 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:52:43,938 epoch 129 - iter 265/2650 - loss 0.02687912 - time (sec): 18.33 - samples/sec: 8022.92 - lr: 0.025000 +2023-04-06 11:53:02,223 epoch 129 - iter 530/2650 - loss 0.02628566 - time (sec): 36.62 - samples/sec: 8072.60 - lr: 0.025000 +2023-04-06 11:53:20,168 epoch 129 - iter 795/2650 - loss 0.02617875 - time (sec): 54.56 - samples/sec: 8098.83 - lr: 0.025000 +2023-04-06 11:53:38,596 epoch 129 - iter 1060/2650 - loss 0.02597046 - time (sec): 72.99 - samples/sec: 8083.04 - lr: 0.025000 +2023-04-06 11:53:56,575 epoch 129 - iter 1325/2650 - loss 0.02620927 - time (sec): 90.97 - samples/sec: 8081.21 - lr: 0.025000 +2023-04-06 11:54:14,577 epoch 129 - iter 1590/2650 - loss 0.02624410 - time (sec): 108.97 - samples/sec: 8078.12 - lr: 0.025000 +2023-04-06 11:54:32,804 epoch 129 - iter 1855/2650 - loss 0.02632753 - time (sec): 127.20 - samples/sec: 8052.80 - lr: 0.025000 +2023-04-06 11:54:50,936 epoch 129 - iter 2120/2650 - loss 0.02649055 - time (sec): 145.33 - samples/sec: 8051.04 - lr: 0.025000 +2023-04-06 11:55:09,478 epoch 129 - iter 2385/2650 - loss 0.02661060 - time (sec): 163.87 - samples/sec: 8030.80 - lr: 0.025000 +2023-04-06 11:55:27,833 epoch 129 - iter 2650/2650 - loss 0.02674456 - time (sec): 182.23 - samples/sec: 8024.97 - lr: 0.025000 +2023-04-06 11:55:27,834 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:55:27,834 EPOCH 129 done: loss 0.0267 - lr 0.025000 +2023-04-06 11:55:27,834 BAD EPOCHS (no improvement): 0 +2023-04-06 11:55:27,837 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:55:46,059 epoch 130 - iter 265/2650 - loss 0.02631793 - time (sec): 18.22 - samples/sec: 8044.34 - lr: 0.025000 +2023-04-06 11:56:04,740 epoch 130 - iter 530/2650 - loss 0.02633669 - time (sec): 36.90 - samples/sec: 7963.90 - lr: 0.025000 +2023-04-06 11:56:22,908 epoch 130 - iter 795/2650 - loss 0.02639026 - time (sec): 55.07 - samples/sec: 8002.81 - lr: 0.025000 +2023-04-06 11:56:40,519 epoch 130 - iter 1060/2650 - loss 0.02648246 - time (sec): 72.68 - samples/sec: 8054.87 - lr: 0.025000 +2023-04-06 11:56:58,650 epoch 130 - iter 1325/2650 - loss 0.02658863 - time (sec): 90.81 - samples/sec: 8061.52 - lr: 0.025000 +2023-04-06 11:57:16,760 epoch 130 - iter 1590/2650 - loss 0.02656250 - time (sec): 108.92 - samples/sec: 8053.25 - lr: 0.025000 +2023-04-06 11:57:35,022 epoch 130 - iter 1855/2650 - loss 0.02664878 - time (sec): 127.18 - samples/sec: 8047.79 - lr: 0.025000 +2023-04-06 11:57:53,230 epoch 130 - iter 2120/2650 - loss 0.02665013 - time (sec): 145.39 - samples/sec: 8046.64 - lr: 0.025000 +2023-04-06 11:58:11,477 epoch 130 - iter 2385/2650 - loss 0.02658548 - time (sec): 163.64 - samples/sec: 8039.32 - lr: 0.025000 +2023-04-06 11:58:29,714 epoch 130 - iter 2650/2650 - loss 0.02661644 - time (sec): 181.88 - samples/sec: 8040.39 - lr: 0.025000 +2023-04-06 11:58:29,714 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:58:29,715 EPOCH 130 done: loss 0.0266 - lr 0.025000 +2023-04-06 11:58:29,715 BAD EPOCHS (no improvement): 0 +2023-04-06 11:58:29,718 ---------------------------------------------------------------------------------------------------- +2023-04-06 11:58:48,477 epoch 131 - iter 265/2650 - loss 0.02614240 - time (sec): 18.76 - samples/sec: 7877.69 - lr: 0.025000 +2023-04-06 11:59:06,710 epoch 131 - iter 530/2650 - loss 0.02672166 - time (sec): 36.99 - samples/sec: 7952.13 - lr: 0.025000 +2023-04-06 11:59:24,852 epoch 131 - iter 795/2650 - loss 0.02652352 - time (sec): 55.13 - samples/sec: 7996.54 - lr: 0.025000 +2023-04-06 11:59:42,948 epoch 131 - iter 1060/2650 - loss 0.02645522 - time (sec): 73.23 - samples/sec: 8009.04 - lr: 0.025000 +2023-04-06 12:00:01,139 epoch 131 - iter 1325/2650 - loss 0.02650858 - time (sec): 91.42 - samples/sec: 8012.99 - lr: 0.025000 +2023-04-06 12:00:19,180 epoch 131 - iter 1590/2650 - loss 0.02670878 - time (sec): 109.46 - samples/sec: 8034.70 - lr: 0.025000 +2023-04-06 12:00:37,162 epoch 131 - iter 1855/2650 - loss 0.02682133 - time (sec): 127.44 - samples/sec: 8040.47 - lr: 0.025000 +2023-04-06 12:01:06,658 epoch 131 - iter 2120/2650 - loss 0.02678901 - time (sec): 156.94 - samples/sec: 7457.52 - lr: 0.025000 +2023-04-06 12:01:24,861 epoch 131 - iter 2385/2650 - loss 0.02685845 - time (sec): 175.14 - samples/sec: 7522.04 - lr: 0.025000 +2023-04-06 12:01:42,960 epoch 131 - iter 2650/2650 - loss 0.02692666 - time (sec): 193.24 - samples/sec: 7567.54 - lr: 0.025000 +2023-04-06 12:01:42,960 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:01:42,960 EPOCH 131 done: loss 0.0269 - lr 0.025000 +2023-04-06 12:01:42,960 BAD EPOCHS (no improvement): 1 +2023-04-06 12:01:42,964 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:02:01,216 epoch 132 - iter 265/2650 - loss 0.02598831 - time (sec): 18.25 - samples/sec: 8013.33 - lr: 0.025000 +2023-04-06 12:02:19,382 epoch 132 - iter 530/2650 - loss 0.02658575 - time (sec): 36.42 - samples/sec: 7991.91 - lr: 0.025000 +2023-04-06 12:02:37,933 epoch 132 - iter 795/2650 - loss 0.02624271 - time (sec): 54.97 - samples/sec: 7955.80 - lr: 0.025000 +2023-04-06 12:02:55,694 epoch 132 - iter 1060/2650 - loss 0.02629874 - time (sec): 72.73 - samples/sec: 8011.12 - lr: 0.025000 +2023-04-06 12:03:13,990 epoch 132 - iter 1325/2650 - loss 0.02634924 - time (sec): 91.03 - samples/sec: 8010.20 - lr: 0.025000 +2023-04-06 12:03:32,714 epoch 132 - iter 1590/2650 - loss 0.02639424 - time (sec): 109.75 - samples/sec: 7972.37 - lr: 0.025000 +2023-04-06 12:03:52,513 epoch 132 - iter 1855/2650 - loss 0.02670428 - time (sec): 129.55 - samples/sec: 7893.16 - lr: 0.025000 +2023-04-06 12:04:11,056 epoch 132 - iter 2120/2650 - loss 0.02677724 - time (sec): 148.09 - samples/sec: 7894.44 - lr: 0.025000 +2023-04-06 12:04:32,041 epoch 132 - iter 2385/2650 - loss 0.02666199 - time (sec): 169.08 - samples/sec: 7780.83 - lr: 0.025000 +2023-04-06 12:04:53,783 epoch 132 - iter 2650/2650 - loss 0.02672938 - time (sec): 190.82 - samples/sec: 7663.58 - lr: 0.025000 +2023-04-06 12:04:53,784 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:04:53,784 EPOCH 132 done: loss 0.0267 - lr 0.025000 +2023-04-06 12:04:53,784 BAD EPOCHS (no improvement): 2 +2023-04-06 12:04:53,788 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:05:14,250 epoch 133 - iter 265/2650 - loss 0.02525971 - time (sec): 20.46 - samples/sec: 7224.75 - lr: 0.025000 +2023-04-06 12:05:32,793 epoch 133 - iter 530/2650 - loss 0.02576893 - time (sec): 39.01 - samples/sec: 7530.88 - lr: 0.025000 +2023-04-06 12:05:51,531 epoch 133 - iter 795/2650 - loss 0.02598691 - time (sec): 57.74 - samples/sec: 7634.84 - lr: 0.025000 +2023-04-06 12:06:10,372 epoch 133 - iter 1060/2650 - loss 0.02597871 - time (sec): 76.58 - samples/sec: 7658.34 - lr: 0.025000 +2023-04-06 12:06:33,767 epoch 133 - iter 1325/2650 - loss 0.02588522 - time (sec): 99.98 - samples/sec: 7324.80 - lr: 0.025000 +2023-04-06 12:06:54,099 epoch 133 - iter 1590/2650 - loss 0.02609380 - time (sec): 120.31 - samples/sec: 7294.31 - lr: 0.025000 +2023-04-06 12:07:15,387 epoch 133 - iter 1855/2650 - loss 0.02619674 - time (sec): 141.60 - samples/sec: 7235.94 - lr: 0.025000 +2023-04-06 12:07:34,456 epoch 133 - iter 2120/2650 - loss 0.02613559 - time (sec): 160.67 - samples/sec: 7289.31 - lr: 0.025000 +2023-04-06 12:07:54,003 epoch 133 - iter 2385/2650 - loss 0.02619411 - time (sec): 180.22 - samples/sec: 7299.96 - lr: 0.025000 +2023-04-06 12:08:15,599 epoch 133 - iter 2650/2650 - loss 0.02634392 - time (sec): 201.81 - samples/sec: 7246.20 - lr: 0.025000 +2023-04-06 12:08:15,599 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:08:15,599 EPOCH 133 done: loss 0.0263 - lr 0.025000 +2023-04-06 12:08:15,599 BAD EPOCHS (no improvement): 0 +2023-04-06 12:08:15,601 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:08:35,053 epoch 134 - iter 265/2650 - loss 0.02713773 - time (sec): 19.45 - samples/sec: 7499.05 - lr: 0.025000 +2023-04-06 12:08:56,403 epoch 134 - iter 530/2650 - loss 0.02649932 - time (sec): 40.80 - samples/sec: 7175.59 - lr: 0.025000 +2023-04-06 12:09:14,521 epoch 134 - iter 795/2650 - loss 0.02631503 - time (sec): 58.92 - samples/sec: 7456.69 - lr: 0.025000 +2023-04-06 12:09:32,613 epoch 134 - iter 1060/2650 - loss 0.02661798 - time (sec): 77.01 - samples/sec: 7590.06 - lr: 0.025000 +2023-04-06 12:09:51,053 epoch 134 - iter 1325/2650 - loss 0.02648903 - time (sec): 95.45 - samples/sec: 7674.96 - lr: 0.025000 +2023-04-06 12:10:09,228 epoch 134 - iter 1590/2650 - loss 0.02640788 - time (sec): 113.63 - samples/sec: 7732.05 - lr: 0.025000 +2023-04-06 12:10:27,332 epoch 134 - iter 1855/2650 - loss 0.02650255 - time (sec): 131.73 - samples/sec: 7770.43 - lr: 0.025000 +2023-04-06 12:10:45,533 epoch 134 - iter 2120/2650 - loss 0.02657328 - time (sec): 149.93 - samples/sec: 7804.63 - lr: 0.025000 +2023-04-06 12:11:03,789 epoch 134 - iter 2385/2650 - loss 0.02655913 - time (sec): 168.19 - samples/sec: 7832.43 - lr: 0.025000 +2023-04-06 12:11:21,731 epoch 134 - iter 2650/2650 - loss 0.02652006 - time (sec): 186.13 - samples/sec: 7856.69 - lr: 0.025000 +2023-04-06 12:11:21,731 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:11:21,731 EPOCH 134 done: loss 0.0265 - lr 0.025000 +2023-04-06 12:11:21,731 BAD EPOCHS (no improvement): 1 +2023-04-06 12:11:21,734 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:11:39,900 epoch 135 - iter 265/2650 - loss 0.02612829 - time (sec): 18.17 - samples/sec: 7992.07 - lr: 0.025000 +2023-04-06 12:11:58,989 epoch 135 - iter 530/2650 - loss 0.02582586 - time (sec): 37.25 - samples/sec: 7866.04 - lr: 0.025000 +2023-04-06 12:12:17,240 epoch 135 - iter 795/2650 - loss 0.02611304 - time (sec): 55.51 - samples/sec: 7901.18 - lr: 0.025000 +2023-04-06 12:12:35,480 epoch 135 - iter 1060/2650 - loss 0.02624228 - time (sec): 73.75 - samples/sec: 7930.16 - lr: 0.025000 +2023-04-06 12:12:54,131 epoch 135 - iter 1325/2650 - loss 0.02617346 - time (sec): 92.40 - samples/sec: 7918.51 - lr: 0.025000 +2023-04-06 12:13:12,146 epoch 135 - iter 1590/2650 - loss 0.02628733 - time (sec): 110.41 - samples/sec: 7928.31 - lr: 0.025000 +2023-04-06 12:13:30,766 epoch 135 - iter 1855/2650 - loss 0.02638516 - time (sec): 129.03 - samples/sec: 7925.20 - lr: 0.025000 +2023-04-06 12:13:49,018 epoch 135 - iter 2120/2650 - loss 0.02638967 - time (sec): 147.28 - samples/sec: 7941.33 - lr: 0.025000 +2023-04-06 12:14:07,449 epoch 135 - iter 2385/2650 - loss 0.02642862 - time (sec): 165.71 - samples/sec: 7947.36 - lr: 0.025000 +2023-04-06 12:14:25,485 epoch 135 - iter 2650/2650 - loss 0.02653396 - time (sec): 183.75 - samples/sec: 7958.38 - lr: 0.025000 +2023-04-06 12:14:25,486 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:14:25,486 EPOCH 135 done: loss 0.0265 - lr 0.025000 +2023-04-06 12:14:25,486 BAD EPOCHS (no improvement): 2 +2023-04-06 12:14:25,488 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:14:43,942 epoch 136 - iter 265/2650 - loss 0.02498349 - time (sec): 18.45 - samples/sec: 7999.41 - lr: 0.025000 +2023-04-06 12:15:02,452 epoch 136 - iter 530/2650 - loss 0.02567027 - time (sec): 36.96 - samples/sec: 7938.24 - lr: 0.025000 +2023-04-06 12:15:20,402 epoch 136 - iter 795/2650 - loss 0.02587434 - time (sec): 54.91 - samples/sec: 7974.77 - lr: 0.025000 +2023-04-06 12:15:38,988 epoch 136 - iter 1060/2650 - loss 0.02648290 - time (sec): 73.50 - samples/sec: 7961.46 - lr: 0.025000 +2023-04-06 12:15:57,070 epoch 136 - iter 1325/2650 - loss 0.02657625 - time (sec): 91.58 - samples/sec: 7987.19 - lr: 0.025000 +2023-04-06 12:16:15,261 epoch 136 - iter 1590/2650 - loss 0.02674891 - time (sec): 109.77 - samples/sec: 7978.21 - lr: 0.025000 +2023-04-06 12:16:33,349 epoch 136 - iter 1855/2650 - loss 0.02666881 - time (sec): 127.86 - samples/sec: 7992.92 - lr: 0.025000 +2023-04-06 12:16:51,785 epoch 136 - iter 2120/2650 - loss 0.02668984 - time (sec): 146.30 - samples/sec: 7989.84 - lr: 0.025000 +2023-04-06 12:17:10,594 epoch 136 - iter 2385/2650 - loss 0.02662975 - time (sec): 165.11 - samples/sec: 7965.28 - lr: 0.025000 +2023-04-06 12:17:29,202 epoch 136 - iter 2650/2650 - loss 0.02660779 - time (sec): 183.71 - samples/sec: 7960.02 - lr: 0.025000 +2023-04-06 12:17:29,202 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:17:29,202 EPOCH 136 done: loss 0.0266 - lr 0.025000 +2023-04-06 12:17:29,202 BAD EPOCHS (no improvement): 3 +2023-04-06 12:17:29,205 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:17:47,391 epoch 137 - iter 265/2650 - loss 0.02745568 - time (sec): 18.19 - samples/sec: 7952.31 - lr: 0.025000 +2023-04-06 12:18:05,879 epoch 137 - iter 530/2650 - loss 0.02703099 - time (sec): 36.67 - samples/sec: 7997.30 - lr: 0.025000 +2023-04-06 12:18:23,901 epoch 137 - iter 795/2650 - loss 0.02671024 - time (sec): 54.70 - samples/sec: 8002.57 - lr: 0.025000 +2023-04-06 12:18:42,278 epoch 137 - iter 1060/2650 - loss 0.02639169 - time (sec): 73.07 - samples/sec: 8010.52 - lr: 0.025000 +2023-04-06 12:19:00,774 epoch 137 - iter 1325/2650 - loss 0.02648607 - time (sec): 91.57 - samples/sec: 7992.20 - lr: 0.025000 +2023-04-06 12:19:19,519 epoch 137 - iter 1590/2650 - loss 0.02644318 - time (sec): 110.31 - samples/sec: 7954.93 - lr: 0.025000 +2023-04-06 12:19:38,376 epoch 137 - iter 1855/2650 - loss 0.02631138 - time (sec): 129.17 - samples/sec: 7932.20 - lr: 0.025000 +2023-04-06 12:19:56,502 epoch 137 - iter 2120/2650 - loss 0.02631271 - time (sec): 147.30 - samples/sec: 7944.78 - lr: 0.025000 +2023-04-06 12:20:14,502 epoch 137 - iter 2385/2650 - loss 0.02625973 - time (sec): 165.30 - samples/sec: 7960.34 - lr: 0.025000 +2023-04-06 12:20:32,659 epoch 137 - iter 2650/2650 - loss 0.02617706 - time (sec): 183.45 - samples/sec: 7971.27 - lr: 0.025000 +2023-04-06 12:20:32,659 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:20:32,659 EPOCH 137 done: loss 0.0262 - lr 0.025000 +2023-04-06 12:20:32,659 BAD EPOCHS (no improvement): 0 +2023-04-06 12:20:32,662 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:20:50,889 epoch 138 - iter 265/2650 - loss 0.02762308 - time (sec): 18.23 - samples/sec: 7993.28 - lr: 0.025000 +2023-04-06 12:21:09,099 epoch 138 - iter 530/2650 - loss 0.02669495 - time (sec): 36.44 - samples/sec: 7985.56 - lr: 0.025000 +2023-04-06 12:21:27,248 epoch 138 - iter 795/2650 - loss 0.02647993 - time (sec): 54.59 - samples/sec: 8019.26 - lr: 0.025000 +2023-04-06 12:21:45,096 epoch 138 - iter 1060/2650 - loss 0.02649977 - time (sec): 72.43 - samples/sec: 8055.88 - lr: 0.025000 +2023-04-06 12:22:03,389 epoch 138 - iter 1325/2650 - loss 0.02645581 - time (sec): 90.73 - samples/sec: 8047.39 - lr: 0.025000 +2023-04-06 12:22:21,505 epoch 138 - iter 1590/2650 - loss 0.02641312 - time (sec): 108.84 - samples/sec: 8057.70 - lr: 0.025000 +2023-04-06 12:22:39,110 epoch 138 - iter 1855/2650 - loss 0.02635407 - time (sec): 126.45 - samples/sec: 8082.90 - lr: 0.025000 +2023-04-06 12:22:57,176 epoch 138 - iter 2120/2650 - loss 0.02635989 - time (sec): 144.51 - samples/sec: 8079.50 - lr: 0.025000 +2023-04-06 12:23:15,574 epoch 138 - iter 2385/2650 - loss 0.02643411 - time (sec): 162.91 - samples/sec: 8075.08 - lr: 0.025000 +2023-04-06 12:23:34,043 epoch 138 - iter 2650/2650 - loss 0.02643150 - time (sec): 181.38 - samples/sec: 8062.40 - lr: 0.025000 +2023-04-06 12:23:34,043 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:23:34,043 EPOCH 138 done: loss 0.0264 - lr 0.025000 +2023-04-06 12:23:34,043 BAD EPOCHS (no improvement): 1 +2023-04-06 12:23:34,047 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:23:52,255 epoch 139 - iter 265/2650 - loss 0.02599257 - time (sec): 18.21 - samples/sec: 8022.87 - lr: 0.025000 +2023-04-06 12:24:10,475 epoch 139 - iter 530/2650 - loss 0.02591115 - time (sec): 36.43 - samples/sec: 8012.10 - lr: 0.025000 +2023-04-06 12:24:28,660 epoch 139 - iter 795/2650 - loss 0.02598178 - time (sec): 54.61 - samples/sec: 8041.63 - lr: 0.025000 +2023-04-06 12:24:46,332 epoch 139 - iter 1060/2650 - loss 0.02599237 - time (sec): 72.29 - samples/sec: 8080.42 - lr: 0.025000 +2023-04-06 12:25:04,468 epoch 139 - iter 1325/2650 - loss 0.02584830 - time (sec): 90.42 - samples/sec: 8078.17 - lr: 0.025000 +2023-04-06 12:25:22,351 epoch 139 - iter 1590/2650 - loss 0.02601809 - time (sec): 108.30 - samples/sec: 8101.04 - lr: 0.025000 +2023-04-06 12:25:40,547 epoch 139 - iter 1855/2650 - loss 0.02599118 - time (sec): 126.50 - samples/sec: 8089.06 - lr: 0.025000 +2023-04-06 12:25:58,955 epoch 139 - iter 2120/2650 - loss 0.02596837 - time (sec): 144.91 - samples/sec: 8069.80 - lr: 0.025000 +2023-04-06 12:26:17,078 epoch 139 - iter 2385/2650 - loss 0.02581227 - time (sec): 163.03 - samples/sec: 8078.18 - lr: 0.025000 +2023-04-06 12:26:35,293 epoch 139 - iter 2650/2650 - loss 0.02590218 - time (sec): 181.25 - samples/sec: 8068.36 - lr: 0.025000 +2023-04-06 12:26:35,293 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:26:35,293 EPOCH 139 done: loss 0.0259 - lr 0.025000 +2023-04-06 12:26:35,294 BAD EPOCHS (no improvement): 0 +2023-04-06 12:26:35,296 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:26:53,046 epoch 140 - iter 265/2650 - loss 0.02557386 - time (sec): 17.75 - samples/sec: 8181.44 - lr: 0.025000 +2023-04-06 12:27:11,224 epoch 140 - iter 530/2650 - loss 0.02614134 - time (sec): 35.93 - samples/sec: 8131.87 - lr: 0.025000 +2023-04-06 12:27:29,229 epoch 140 - iter 795/2650 - loss 0.02597963 - time (sec): 53.93 - samples/sec: 8133.59 - lr: 0.025000 +2023-04-06 12:27:47,165 epoch 140 - iter 1060/2650 - loss 0.02623025 - time (sec): 71.87 - samples/sec: 8118.36 - lr: 0.025000 +2023-04-06 12:28:05,336 epoch 140 - iter 1325/2650 - loss 0.02623403 - time (sec): 90.04 - samples/sec: 8110.46 - lr: 0.025000 +2023-04-06 12:28:23,455 epoch 140 - iter 1590/2650 - loss 0.02624457 - time (sec): 108.16 - samples/sec: 8115.46 - lr: 0.025000 +2023-04-06 12:28:41,255 epoch 140 - iter 1855/2650 - loss 0.02631689 - time (sec): 125.96 - samples/sec: 8118.99 - lr: 0.025000 +2023-04-06 12:28:59,625 epoch 140 - iter 2120/2650 - loss 0.02629473 - time (sec): 144.33 - samples/sec: 8101.08 - lr: 0.025000 +2023-04-06 12:29:17,828 epoch 140 - iter 2385/2650 - loss 0.02629073 - time (sec): 162.53 - samples/sec: 8091.34 - lr: 0.025000 +2023-04-06 12:29:36,439 epoch 140 - iter 2650/2650 - loss 0.02624869 - time (sec): 181.14 - samples/sec: 8072.99 - lr: 0.025000 +2023-04-06 12:29:36,439 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:29:36,439 EPOCH 140 done: loss 0.0262 - lr 0.025000 +2023-04-06 12:29:36,440 BAD EPOCHS (no improvement): 1 +2023-04-06 12:29:36,443 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:29:54,296 epoch 141 - iter 265/2650 - loss 0.02576876 - time (sec): 17.85 - samples/sec: 8172.48 - lr: 0.025000 +2023-04-06 12:30:12,433 epoch 141 - iter 530/2650 - loss 0.02641912 - time (sec): 35.99 - samples/sec: 8147.04 - lr: 0.025000 +2023-04-06 12:30:30,886 epoch 141 - iter 795/2650 - loss 0.02625009 - time (sec): 54.44 - samples/sec: 8112.08 - lr: 0.025000 +2023-04-06 12:30:49,055 epoch 141 - iter 1060/2650 - loss 0.02639039 - time (sec): 72.61 - samples/sec: 8092.87 - lr: 0.025000 +2023-04-06 12:31:06,894 epoch 141 - iter 1325/2650 - loss 0.02632833 - time (sec): 90.45 - samples/sec: 8103.07 - lr: 0.025000 +2023-04-06 12:31:25,031 epoch 141 - iter 1590/2650 - loss 0.02634991 - time (sec): 108.59 - samples/sec: 8088.87 - lr: 0.025000 +2023-04-06 12:31:43,186 epoch 141 - iter 1855/2650 - loss 0.02632427 - time (sec): 126.74 - samples/sec: 8086.85 - lr: 0.025000 +2023-04-06 12:32:01,520 epoch 141 - iter 2120/2650 - loss 0.02633151 - time (sec): 145.08 - samples/sec: 8078.31 - lr: 0.025000 +2023-04-06 12:32:19,655 epoch 141 - iter 2385/2650 - loss 0.02631504 - time (sec): 163.21 - samples/sec: 8076.70 - lr: 0.025000 +2023-04-06 12:32:37,460 epoch 141 - iter 2650/2650 - loss 0.02629694 - time (sec): 181.02 - samples/sec: 8078.62 - lr: 0.025000 +2023-04-06 12:32:37,460 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:32:37,460 EPOCH 141 done: loss 0.0263 - lr 0.025000 +2023-04-06 12:32:37,460 BAD EPOCHS (no improvement): 2 +2023-04-06 12:32:37,463 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:32:55,682 epoch 142 - iter 265/2650 - loss 0.02572878 - time (sec): 18.22 - samples/sec: 8056.34 - lr: 0.025000 +2023-04-06 12:33:13,456 epoch 142 - iter 530/2650 - loss 0.02644122 - time (sec): 35.99 - samples/sec: 8087.58 - lr: 0.025000 +2023-04-06 12:33:31,292 epoch 142 - iter 795/2650 - loss 0.02633799 - time (sec): 53.83 - samples/sec: 8127.38 - lr: 0.025000 +2023-04-06 12:33:49,546 epoch 142 - iter 1060/2650 - loss 0.02609464 - time (sec): 72.08 - samples/sec: 8113.34 - lr: 0.025000 +2023-04-06 12:34:08,080 epoch 142 - iter 1325/2650 - loss 0.02609133 - time (sec): 90.62 - samples/sec: 8074.59 - lr: 0.025000 +2023-04-06 12:34:26,330 epoch 142 - iter 1590/2650 - loss 0.02596919 - time (sec): 108.87 - samples/sec: 8052.31 - lr: 0.025000 +2023-04-06 12:34:44,455 epoch 142 - iter 1855/2650 - loss 0.02594405 - time (sec): 126.99 - samples/sec: 8063.78 - lr: 0.025000 +2023-04-06 12:35:02,959 epoch 142 - iter 2120/2650 - loss 0.02592427 - time (sec): 145.50 - samples/sec: 8046.76 - lr: 0.025000 +2023-04-06 12:35:20,783 epoch 142 - iter 2385/2650 - loss 0.02596063 - time (sec): 163.32 - samples/sec: 8063.12 - lr: 0.025000 +2023-04-06 12:35:39,014 epoch 142 - iter 2650/2650 - loss 0.02593919 - time (sec): 181.55 - samples/sec: 8054.82 - lr: 0.025000 +2023-04-06 12:35:39,014 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:35:39,014 EPOCH 142 done: loss 0.0259 - lr 0.025000 +2023-04-06 12:35:39,015 BAD EPOCHS (no improvement): 3 +2023-04-06 12:35:39,017 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:35:57,595 epoch 143 - iter 265/2650 - loss 0.02539110 - time (sec): 18.58 - samples/sec: 7973.31 - lr: 0.025000 +2023-04-06 12:36:16,112 epoch 143 - iter 530/2650 - loss 0.02620968 - time (sec): 37.09 - samples/sec: 7910.08 - lr: 0.025000 +2023-04-06 12:36:34,480 epoch 143 - iter 795/2650 - loss 0.02609584 - time (sec): 55.46 - samples/sec: 7929.08 - lr: 0.025000 +2023-04-06 12:36:53,036 epoch 143 - iter 1060/2650 - loss 0.02607727 - time (sec): 74.02 - samples/sec: 7928.99 - lr: 0.025000 +2023-04-06 12:37:11,762 epoch 143 - iter 1325/2650 - loss 0.02602813 - time (sec): 92.74 - samples/sec: 7924.29 - lr: 0.025000 +2023-04-06 12:37:30,152 epoch 143 - iter 1590/2650 - loss 0.02604743 - time (sec): 111.13 - samples/sec: 7917.65 - lr: 0.025000 +2023-04-06 12:37:48,108 epoch 143 - iter 1855/2650 - loss 0.02606550 - time (sec): 129.09 - samples/sec: 7926.15 - lr: 0.025000 +2023-04-06 12:38:06,874 epoch 143 - iter 2120/2650 - loss 0.02602514 - time (sec): 147.86 - samples/sec: 7922.50 - lr: 0.025000 +2023-04-06 12:38:25,059 epoch 143 - iter 2385/2650 - loss 0.02610859 - time (sec): 166.04 - samples/sec: 7933.21 - lr: 0.025000 +2023-04-06 12:38:43,665 epoch 143 - iter 2650/2650 - loss 0.02611900 - time (sec): 184.65 - samples/sec: 7919.76 - lr: 0.025000 +2023-04-06 12:38:43,665 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:38:43,665 EPOCH 143 done: loss 0.0261 - lr 0.025000 +2023-04-06 12:38:43,665 Epoch 143: reducing learning rate of group 0 to 1.2500e-02. +2023-04-06 12:38:43,665 BAD EPOCHS (no improvement): 4 +2023-04-06 12:38:43,669 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:39:02,953 epoch 144 - iter 265/2650 - loss 0.02682733 - time (sec): 19.28 - samples/sec: 7649.51 - lr: 0.012500 +2023-04-06 12:39:21,174 epoch 144 - iter 530/2650 - loss 0.02614750 - time (sec): 37.50 - samples/sec: 7846.76 - lr: 0.012500 +2023-04-06 12:39:39,186 epoch 144 - iter 795/2650 - loss 0.02558707 - time (sec): 55.52 - samples/sec: 7883.54 - lr: 0.012500 +2023-04-06 12:39:57,735 epoch 144 - iter 1060/2650 - loss 0.02531073 - time (sec): 74.07 - samples/sec: 7877.27 - lr: 0.012500 +2023-04-06 12:40:16,066 epoch 144 - iter 1325/2650 - loss 0.02556399 - time (sec): 92.40 - samples/sec: 7905.99 - lr: 0.012500 +2023-04-06 12:40:34,297 epoch 144 - iter 1590/2650 - loss 0.02557806 - time (sec): 110.63 - samples/sec: 7926.18 - lr: 0.012500 +2023-04-06 12:40:52,532 epoch 144 - iter 1855/2650 - loss 0.02570859 - time (sec): 128.86 - samples/sec: 7944.19 - lr: 0.012500 +2023-04-06 12:41:11,053 epoch 144 - iter 2120/2650 - loss 0.02565045 - time (sec): 147.38 - samples/sec: 7949.47 - lr: 0.012500 +2023-04-06 12:41:29,077 epoch 144 - iter 2385/2650 - loss 0.02569423 - time (sec): 165.41 - samples/sec: 7962.14 - lr: 0.012500 +2023-04-06 12:41:47,200 epoch 144 - iter 2650/2650 - loss 0.02560617 - time (sec): 183.53 - samples/sec: 7967.93 - lr: 0.012500 +2023-04-06 12:41:47,200 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:41:47,200 EPOCH 144 done: loss 0.0256 - lr 0.012500 +2023-04-06 12:41:47,200 BAD EPOCHS (no improvement): 0 +2023-04-06 12:41:47,203 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:42:05,502 epoch 145 - iter 265/2650 - loss 0.02561083 - time (sec): 18.30 - samples/sec: 8023.43 - lr: 0.012500 +2023-04-06 12:42:23,639 epoch 145 - iter 530/2650 - loss 0.02543605 - time (sec): 36.44 - samples/sec: 8017.48 - lr: 0.012500 +2023-04-06 12:42:41,746 epoch 145 - iter 795/2650 - loss 0.02578382 - time (sec): 54.54 - samples/sec: 8022.21 - lr: 0.012500 +2023-04-06 12:43:00,048 epoch 145 - iter 1060/2650 - loss 0.02564606 - time (sec): 72.84 - samples/sec: 8017.66 - lr: 0.012500 +2023-04-06 12:43:18,076 epoch 145 - iter 1325/2650 - loss 0.02556002 - time (sec): 90.87 - samples/sec: 8029.91 - lr: 0.012500 +2023-04-06 12:43:36,114 epoch 145 - iter 1590/2650 - loss 0.02563451 - time (sec): 108.91 - samples/sec: 8041.33 - lr: 0.012500 +2023-04-06 12:43:54,630 epoch 145 - iter 1855/2650 - loss 0.02554716 - time (sec): 127.43 - samples/sec: 8023.66 - lr: 0.012500 +2023-04-06 12:44:12,765 epoch 145 - iter 2120/2650 - loss 0.02549357 - time (sec): 145.56 - samples/sec: 8031.98 - lr: 0.012500 +2023-04-06 12:44:31,061 epoch 145 - iter 2385/2650 - loss 0.02548577 - time (sec): 163.86 - samples/sec: 8036.89 - lr: 0.012500 +2023-04-06 12:44:48,980 epoch 145 - iter 2650/2650 - loss 0.02552889 - time (sec): 181.78 - samples/sec: 8044.86 - lr: 0.012500 +2023-04-06 12:44:48,980 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:44:48,980 EPOCH 145 done: loss 0.0255 - lr 0.012500 +2023-04-06 12:44:48,980 BAD EPOCHS (no improvement): 0 +2023-04-06 12:44:48,983 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:45:07,260 epoch 146 - iter 265/2650 - loss 0.02478088 - time (sec): 18.28 - samples/sec: 8045.98 - lr: 0.012500 +2023-04-06 12:45:26,514 epoch 146 - iter 530/2650 - loss 0.02458594 - time (sec): 37.53 - samples/sec: 7788.86 - lr: 0.012500 +2023-04-06 12:45:44,776 epoch 146 - iter 795/2650 - loss 0.02508700 - time (sec): 55.79 - samples/sec: 7844.08 - lr: 0.012500 +2023-04-06 12:46:03,074 epoch 146 - iter 1060/2650 - loss 0.02536088 - time (sec): 74.09 - samples/sec: 7892.06 - lr: 0.012500 +2023-04-06 12:46:21,346 epoch 146 - iter 1325/2650 - loss 0.02528176 - time (sec): 92.36 - samples/sec: 7918.98 - lr: 0.012500 +2023-04-06 12:46:39,628 epoch 146 - iter 1590/2650 - loss 0.02523093 - time (sec): 110.64 - samples/sec: 7937.52 - lr: 0.012500 +2023-04-06 12:46:57,630 epoch 146 - iter 1855/2650 - loss 0.02525472 - time (sec): 128.65 - samples/sec: 7970.41 - lr: 0.012500 +2023-04-06 12:47:16,206 epoch 146 - iter 2120/2650 - loss 0.02539008 - time (sec): 147.22 - samples/sec: 7963.88 - lr: 0.012500 +2023-04-06 12:47:34,420 epoch 146 - iter 2385/2650 - loss 0.02538587 - time (sec): 165.44 - samples/sec: 7966.51 - lr: 0.012500 +2023-04-06 12:47:52,485 epoch 146 - iter 2650/2650 - loss 0.02546001 - time (sec): 183.50 - samples/sec: 7969.20 - lr: 0.012500 +2023-04-06 12:47:52,485 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:47:52,485 EPOCH 146 done: loss 0.0255 - lr 0.012500 +2023-04-06 12:47:52,486 BAD EPOCHS (no improvement): 0 +2023-04-06 12:47:52,489 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:48:11,108 epoch 147 - iter 265/2650 - loss 0.02531924 - time (sec): 18.62 - samples/sec: 7747.33 - lr: 0.012500 +2023-04-06 12:48:29,650 epoch 147 - iter 530/2650 - loss 0.02503536 - time (sec): 37.16 - samples/sec: 7765.07 - lr: 0.012500 +2023-04-06 12:48:48,330 epoch 147 - iter 795/2650 - loss 0.02506386 - time (sec): 55.84 - samples/sec: 7811.07 - lr: 0.012500 +2023-04-06 12:49:07,250 epoch 147 - iter 1060/2650 - loss 0.02514493 - time (sec): 74.76 - samples/sec: 7809.45 - lr: 0.012500 +2023-04-06 12:49:25,630 epoch 147 - iter 1325/2650 - loss 0.02532059 - time (sec): 93.14 - samples/sec: 7839.76 - lr: 0.012500 +2023-04-06 12:49:44,139 epoch 147 - iter 1590/2650 - loss 0.02535167 - time (sec): 111.65 - samples/sec: 7861.54 - lr: 0.012500 +2023-04-06 12:50:02,252 epoch 147 - iter 1855/2650 - loss 0.02533830 - time (sec): 129.76 - samples/sec: 7899.52 - lr: 0.012500 +2023-04-06 12:50:20,286 epoch 147 - iter 2120/2650 - loss 0.02532892 - time (sec): 147.80 - samples/sec: 7922.95 - lr: 0.012500 +2023-04-06 12:50:37,910 epoch 147 - iter 2385/2650 - loss 0.02520430 - time (sec): 165.42 - samples/sec: 7959.04 - lr: 0.012500 +2023-04-06 12:50:56,225 epoch 147 - iter 2650/2650 - loss 0.02519070 - time (sec): 183.74 - samples/sec: 7959.05 - lr: 0.012500 +2023-04-06 12:50:56,225 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:50:56,225 EPOCH 147 done: loss 0.0252 - lr 0.012500 +2023-04-06 12:50:56,225 BAD EPOCHS (no improvement): 0 +2023-04-06 12:50:56,231 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:51:14,660 epoch 148 - iter 265/2650 - loss 0.02402321 - time (sec): 18.43 - samples/sec: 7946.09 - lr: 0.012500 +2023-04-06 12:51:33,027 epoch 148 - iter 530/2650 - loss 0.02449076 - time (sec): 36.80 - samples/sec: 7966.71 - lr: 0.012500 +2023-04-06 12:51:51,179 epoch 148 - iter 795/2650 - loss 0.02445039 - time (sec): 54.95 - samples/sec: 7971.27 - lr: 0.012500 +2023-04-06 12:52:09,252 epoch 148 - iter 1060/2650 - loss 0.02480921 - time (sec): 73.02 - samples/sec: 7978.55 - lr: 0.012500 +2023-04-06 12:52:27,001 epoch 148 - iter 1325/2650 - loss 0.02501300 - time (sec): 90.77 - samples/sec: 8025.25 - lr: 0.012500 +2023-04-06 12:52:45,271 epoch 148 - iter 1590/2650 - loss 0.02498001 - time (sec): 109.04 - samples/sec: 8027.80 - lr: 0.012500 +2023-04-06 12:53:03,736 epoch 148 - iter 1855/2650 - loss 0.02502524 - time (sec): 127.50 - samples/sec: 8028.04 - lr: 0.012500 +2023-04-06 12:53:21,803 epoch 148 - iter 2120/2650 - loss 0.02504741 - time (sec): 145.57 - samples/sec: 8051.68 - lr: 0.012500 +2023-04-06 12:53:39,972 epoch 148 - iter 2385/2650 - loss 0.02501781 - time (sec): 163.74 - samples/sec: 8040.42 - lr: 0.012500 +2023-04-06 12:53:58,108 epoch 148 - iter 2650/2650 - loss 0.02502567 - time (sec): 181.88 - samples/sec: 8040.42 - lr: 0.012500 +2023-04-06 12:53:58,108 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:53:58,108 EPOCH 148 done: loss 0.0250 - lr 0.012500 +2023-04-06 12:53:58,108 BAD EPOCHS (no improvement): 0 +2023-04-06 12:53:58,111 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:54:16,743 epoch 149 - iter 265/2650 - loss 0.02467979 - time (sec): 18.63 - samples/sec: 7776.56 - lr: 0.012500 +2023-04-06 12:54:35,322 epoch 149 - iter 530/2650 - loss 0.02458319 - time (sec): 37.21 - samples/sec: 7829.95 - lr: 0.012500 +2023-04-06 12:54:53,894 epoch 149 - iter 795/2650 - loss 0.02498222 - time (sec): 55.78 - samples/sec: 7845.77 - lr: 0.012500 +2023-04-06 12:55:12,637 epoch 149 - iter 1060/2650 - loss 0.02493237 - time (sec): 74.53 - samples/sec: 7846.93 - lr: 0.012500 +2023-04-06 12:55:30,985 epoch 149 - iter 1325/2650 - loss 0.02483076 - time (sec): 92.87 - samples/sec: 7879.83 - lr: 0.012500 +2023-04-06 12:55:49,182 epoch 149 - iter 1590/2650 - loss 0.02477192 - time (sec): 111.07 - samples/sec: 7898.63 - lr: 0.012500 +2023-04-06 12:56:09,371 epoch 149 - iter 1855/2650 - loss 0.02474023 - time (sec): 131.26 - samples/sec: 7798.01 - lr: 0.012500 +2023-04-06 12:56:29,260 epoch 149 - iter 2120/2650 - loss 0.02482734 - time (sec): 151.15 - samples/sec: 7737.99 - lr: 0.012500 +2023-04-06 12:56:48,870 epoch 149 - iter 2385/2650 - loss 0.02483413 - time (sec): 170.76 - samples/sec: 7700.53 - lr: 0.012500 +2023-04-06 12:57:07,776 epoch 149 - iter 2650/2650 - loss 0.02484855 - time (sec): 189.66 - samples/sec: 7710.26 - lr: 0.012500 +2023-04-06 12:57:07,776 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:57:07,776 EPOCH 149 done: loss 0.0248 - lr 0.012500 +2023-04-06 12:57:07,776 BAD EPOCHS (no improvement): 0 +2023-04-06 12:57:07,779 ---------------------------------------------------------------------------------------------------- +2023-04-06 12:57:25,998 epoch 150 - iter 265/2650 - loss 0.02433222 - time (sec): 18.22 - samples/sec: 7980.56 - lr: 0.012500 +2023-04-06 12:57:44,435 epoch 150 - iter 530/2650 - loss 0.02383379 - time (sec): 36.66 - samples/sec: 7986.54 - lr: 0.012500 +2023-04-06 12:58:02,563 epoch 150 - iter 795/2650 - loss 0.02414831 - time (sec): 54.78 - samples/sec: 8007.08 - lr: 0.012500 +2023-04-06 12:58:21,980 epoch 150 - iter 1060/2650 - loss 0.02432075 - time (sec): 74.20 - samples/sec: 7894.22 - lr: 0.012500 +2023-04-06 12:58:40,492 epoch 150 - iter 1325/2650 - loss 0.02442200 - time (sec): 92.71 - samples/sec: 7890.80 - lr: 0.012500 +2023-04-06 12:59:01,125 epoch 150 - iter 1590/2650 - loss 0.02455813 - time (sec): 113.35 - samples/sec: 7762.82 - lr: 0.012500 +2023-04-06 12:59:19,375 epoch 150 - iter 1855/2650 - loss 0.02454424 - time (sec): 131.60 - samples/sec: 7794.77 - lr: 0.012500 +2023-04-06 12:59:38,696 epoch 150 - iter 2120/2650 - loss 0.02460402 - time (sec): 150.92 - samples/sec: 7764.32 - lr: 0.012500 +2023-04-06 12:59:56,605 epoch 150 - iter 2385/2650 - loss 0.02458019 - time (sec): 168.83 - samples/sec: 7802.38 - lr: 0.012500 +2023-04-06 13:00:15,958 epoch 150 - iter 2650/2650 - loss 0.02466815 - time (sec): 188.18 - samples/sec: 7771.15 - lr: 0.012500 +2023-04-06 13:00:15,958 ---------------------------------------------------------------------------------------------------- +2023-04-06 13:00:15,958 EPOCH 150 done: loss 0.0247 - lr 0.012500 +2023-04-06 13:00:15,958 BAD EPOCHS (no improvement): 0 +2023-04-06 13:00:17,284 ---------------------------------------------------------------------------------------------------- +2023-04-06 13:00:17,285 Testing using last state of model ... +2023-04-06 13:00:52,119 Evaluating as a multi-label problem: False +2023-04-06 13:00:53,372 0.9854 0.9854 0.9854 0.9854 +2023-04-06 13:00:53,372 +Results: +- F-score (micro) 0.9854 +- F-score (macro) 0.9726 +- Accuracy 0.9854 + +By class: + precision recall f1-score support + + NOUN 0.9856 0.9813 0.9834 29573 + VERB 0.9865 0.9918 0.9891 25556 + PUNCT 0.9998 1.0000 0.9999 20452 + ADP 0.9837 0.9867 0.9852 18929 + DET 0.9949 0.9953 0.9951 14951 + PROPN 0.9778 0.9830 0.9804 13149 + PRON 0.9953 0.9956 0.9954 11968 + ADJ 0.9553 0.9505 0.9529 10417 + ADV 0.9697 0.9587 0.9642 9065 + CCONJ 0.9943 0.9889 0.9916 5126 + PART 0.9722 0.9881 0.9801 3357 + NUM 0.9834 0.9898 0.9866 3045 + AUX 0.9980 0.9975 0.9978 2001 + INTJ 0.9794 0.9758 0.9776 1609 + SYM 1.0000 0.9712 0.9854 208 + X 0.8905 0.7219 0.7974 169 + + accuracy 0.9854 169575 + macro avg 0.9791 0.9673 0.9726 169575 +weighted avg 0.9854 0.9854 0.9854 169575 + +2023-04-06 13:00:53,372 ----------------------------------------------------------------------------------------------------