pos-english-fast / training.log
alanakbik's picture
initial model commit
6376136
2020-05-14 10:26:41,009 ----------------------------------------------------------------------------------------------------
2020-05-14 10:26:41,010 Model: "SequenceTagger(
(embeddings): StackedEmbeddings(
(list_embedding_0): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.25, inplace=False)
(encoder): Embedding(275, 100)
(rnn): LSTM(100, 1024)
(decoder): Linear(in_features=1024, out_features=275, bias=True)
)
)
(list_embedding_1): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.25, inplace=False)
(encoder): Embedding(275, 100)
(rnn): LSTM(100, 1024)
(decoder): Linear(in_features=1024, out_features=275, bias=True)
)
)
)
(word_dropout): WordDropout(p=0.05)
(locked_dropout): LockedDropout(p=0.5)
(embedding2nn): Linear(in_features=2048, out_features=2048, bias=True)
(rnn): LSTM(2048, 256, batch_first=True, bidirectional=True)
(linear): Linear(in_features=512, out_features=53, bias=True)
(beta): 1.0
(weights): None
(weight_tensor) None
)"
2020-05-14 10:26:41,010 ----------------------------------------------------------------------------------------------------
2020-05-14 10:26:41,010 Corpus: "Corpus: 75187 train + 9603 dev + 9479 test sentences"
2020-05-14 10:26:41,010 ----------------------------------------------------------------------------------------------------
2020-05-14 10:26:41,010 Parameters:
2020-05-14 10:26:41,010 - learning_rate: "0.1"
2020-05-14 10:26:41,010 - mini_batch_size: "32"
2020-05-14 10:26:41,010 - patience: "3"
2020-05-14 10:26:41,010 - anneal_factor: "0.5"
2020-05-14 10:26:41,010 - max_epochs: "150"
2020-05-14 10:26:41,010 - shuffle: "True"
2020-05-14 10:26:41,010 - train_with_dev: "True"
2020-05-14 10:26:41,010 - batch_growth_annealing: "False"
2020-05-14 10:26:41,010 ----------------------------------------------------------------------------------------------------
2020-05-14 10:26:41,010 Model training base path: "resources/taggers/release-pos-fast-0"
2020-05-14 10:26:41,011 ----------------------------------------------------------------------------------------------------
2020-05-14 10:26:41,011 Device: cuda:0
2020-05-14 10:26:41,011 ----------------------------------------------------------------------------------------------------
2020-05-14 10:26:41,011 Embeddings storage mode: cpu
2020-05-14 10:26:41,011 ----------------------------------------------------------------------------------------------------
2020-05-14 10:28:00,888 epoch 1 - iter 265/2650 - loss 15.45159778 - samples/sec: 106.20
2020-05-14 10:29:21,365 epoch 1 - iter 530/2650 - loss 10.50117161 - samples/sec: 105.42
2020-05-14 10:30:40,561 epoch 1 - iter 795/2650 - loss 8.54658011 - samples/sec: 107.12
2020-05-14 10:32:09,866 epoch 1 - iter 1060/2650 - loss 7.50148400 - samples/sec: 94.99
2020-05-14 10:33:29,873 epoch 1 - iter 1325/2650 - loss 6.81506879 - samples/sec: 106.04
2020-05-14 10:34:49,616 epoch 1 - iter 1590/2650 - loss 6.31460486 - samples/sec: 106.39
2020-05-14 10:36:09,642 epoch 1 - iter 1855/2650 - loss 5.94344105 - samples/sec: 106.01
2020-05-14 10:37:29,721 epoch 1 - iter 2120/2650 - loss 5.63743446 - samples/sec: 105.94
2020-05-14 10:38:52,169 epoch 1 - iter 2385/2650 - loss 5.39329991 - samples/sec: 102.90
2020-05-14 10:40:13,412 epoch 1 - iter 2650/2650 - loss 5.19168739 - samples/sec: 104.42
2020-05-14 10:40:13,425 ----------------------------------------------------------------------------------------------------
2020-05-14 10:40:13,426 EPOCH 1 done: loss 5.1917 - lr 0.1000000
2020-05-14 10:40:13,426 BAD EPOCHS (no improvement): 0
2020-05-14 10:40:13,426 ----------------------------------------------------------------------------------------------------
2020-05-14 10:41:10,509 epoch 2 - iter 265/2650 - loss 3.14189004 - samples/sec: 148.62
2020-05-14 10:42:07,773 epoch 2 - iter 530/2650 - loss 3.17423654 - samples/sec: 148.17
2020-05-14 10:43:04,917 epoch 2 - iter 795/2650 - loss 3.15542588 - samples/sec: 148.48
2020-05-14 10:44:02,773 epoch 2 - iter 1060/2650 - loss 3.12536377 - samples/sec: 146.66
2020-05-14 10:44:59,721 epoch 2 - iter 1325/2650 - loss 3.10144348 - samples/sec: 148.99
2020-05-14 10:45:56,030 epoch 2 - iter 1590/2650 - loss 3.07428269 - samples/sec: 150.68
2020-05-14 10:46:52,372 epoch 2 - iter 1855/2650 - loss 3.04521801 - samples/sec: 150.60
2020-05-14 10:47:49,372 epoch 2 - iter 2120/2650 - loss 3.02556661 - samples/sec: 148.86
2020-05-14 10:48:46,688 epoch 2 - iter 2385/2650 - loss 3.00579983 - samples/sec: 148.04
2020-05-14 10:49:44,055 epoch 2 - iter 2650/2650 - loss 2.99025560 - samples/sec: 147.91
2020-05-14 10:49:44,069 ----------------------------------------------------------------------------------------------------
2020-05-14 10:49:44,069 EPOCH 2 done: loss 2.9903 - lr 0.1000000
2020-05-14 10:49:44,069 BAD EPOCHS (no improvement): 0
2020-05-14 10:49:44,069 ----------------------------------------------------------------------------------------------------
2020-05-14 10:50:40,524 epoch 3 - iter 265/2650 - loss 2.71082671 - samples/sec: 150.27
2020-05-14 10:51:37,573 epoch 3 - iter 530/2650 - loss 2.69794628 - samples/sec: 148.73
2020-05-14 10:52:35,976 epoch 3 - iter 795/2650 - loss 2.70834591 - samples/sec: 145.28
2020-05-14 10:53:34,101 epoch 3 - iter 1060/2650 - loss 2.70576644 - samples/sec: 145.98
2020-05-14 10:54:31,761 epoch 3 - iter 1325/2650 - loss 2.69503239 - samples/sec: 147.15
2020-05-14 10:55:28,169 epoch 3 - iter 1590/2650 - loss 2.68087960 - samples/sec: 150.42
2020-05-14 10:56:23,117 epoch 3 - iter 1855/2650 - loss 2.67080119 - samples/sec: 154.42
2020-05-14 10:57:18,206 epoch 3 - iter 2120/2650 - loss 2.65630595 - samples/sec: 154.02
2020-05-14 10:58:13,900 epoch 3 - iter 2385/2650 - loss 2.63750632 - samples/sec: 152.35
2020-05-14 10:59:11,901 epoch 3 - iter 2650/2650 - loss 2.63010013 - samples/sec: 146.29
2020-05-14 10:59:11,916 ----------------------------------------------------------------------------------------------------
2020-05-14 10:59:11,916 EPOCH 3 done: loss 2.6301 - lr 0.1000000
2020-05-14 10:59:11,916 BAD EPOCHS (no improvement): 0
2020-05-14 10:59:11,916 ----------------------------------------------------------------------------------------------------
2020-05-14 11:00:09,679 epoch 4 - iter 265/2650 - loss 2.50185830 - samples/sec: 146.87
2020-05-14 11:01:05,460 epoch 4 - iter 530/2650 - loss 2.47410018 - samples/sec: 152.11
2020-05-14 11:02:01,966 epoch 4 - iter 795/2650 - loss 2.45458210 - samples/sec: 150.16
2020-05-14 11:02:58,411 epoch 4 - iter 1060/2650 - loss 2.44750962 - samples/sec: 150.32
2020-05-14 11:03:54,505 epoch 4 - iter 1325/2650 - loss 2.45233307 - samples/sec: 151.26
2020-05-14 11:04:50,636 epoch 4 - iter 1590/2650 - loss 2.44871373 - samples/sec: 151.16
2020-05-14 11:05:46,468 epoch 4 - iter 1855/2650 - loss 2.44311162 - samples/sec: 151.97
2020-05-14 11:06:44,715 epoch 4 - iter 2120/2650 - loss 2.44835536 - samples/sec: 145.67
2020-05-14 11:07:42,545 epoch 4 - iter 2385/2650 - loss 2.44848918 - samples/sec: 146.72
2020-05-14 11:08:38,937 epoch 4 - iter 2650/2650 - loss 2.43998472 - samples/sec: 150.46
2020-05-14 11:08:38,951 ----------------------------------------------------------------------------------------------------
2020-05-14 11:08:38,951 EPOCH 4 done: loss 2.4400 - lr 0.1000000
2020-05-14 11:08:38,951 BAD EPOCHS (no improvement): 0
2020-05-14 11:08:38,951 ----------------------------------------------------------------------------------------------------
2020-05-14 11:09:34,881 epoch 5 - iter 265/2650 - loss 2.30581197 - samples/sec: 151.68
2020-05-14 11:10:31,103 epoch 5 - iter 530/2650 - loss 2.32561410 - samples/sec: 150.92
2020-05-14 11:11:25,996 epoch 5 - iter 795/2650 - loss 2.32596939 - samples/sec: 154.57
2020-05-14 11:12:22,458 epoch 5 - iter 1060/2650 - loss 2.32426336 - samples/sec: 150.28
2020-05-14 11:13:20,302 epoch 5 - iter 1325/2650 - loss 2.33942415 - samples/sec: 146.69
2020-05-14 11:14:18,271 epoch 5 - iter 1590/2650 - loss 2.32903922 - samples/sec: 146.37
2020-05-14 11:15:13,169 epoch 5 - iter 1855/2650 - loss 2.32516629 - samples/sec: 154.56
2020-05-14 11:16:10,131 epoch 5 - iter 2120/2650 - loss 2.31805062 - samples/sec: 148.96
2020-05-14 11:17:08,447 epoch 5 - iter 2385/2650 - loss 2.31408547 - samples/sec: 145.49
2020-05-14 11:18:04,383 epoch 5 - iter 2650/2650 - loss 2.30818865 - samples/sec: 151.69
2020-05-14 11:18:04,398 ----------------------------------------------------------------------------------------------------
2020-05-14 11:18:04,398 EPOCH 5 done: loss 2.3082 - lr 0.1000000
2020-05-14 11:18:04,398 BAD EPOCHS (no improvement): 0
2020-05-14 11:18:04,398 ----------------------------------------------------------------------------------------------------
2020-05-14 11:19:02,183 epoch 6 - iter 265/2650 - loss 2.23558625 - samples/sec: 146.81
2020-05-14 11:19:58,391 epoch 6 - iter 530/2650 - loss 2.20856184 - samples/sec: 150.96
2020-05-14 11:20:56,010 epoch 6 - iter 795/2650 - loss 2.20938500 - samples/sec: 147.26
2020-05-14 11:21:53,141 epoch 6 - iter 1060/2650 - loss 2.20560861 - samples/sec: 148.52
2020-05-14 11:22:49,607 epoch 6 - iter 1325/2650 - loss 2.20377825 - samples/sec: 150.27
2020-05-14 11:23:46,115 epoch 6 - iter 1590/2650 - loss 2.20769968 - samples/sec: 150.15
2020-05-14 11:24:42,130 epoch 6 - iter 1855/2650 - loss 2.20573023 - samples/sec: 151.48
2020-05-14 11:25:38,730 epoch 6 - iter 2120/2650 - loss 2.20873502 - samples/sec: 149.91
2020-05-14 11:26:34,655 epoch 6 - iter 2385/2650 - loss 2.20453458 - samples/sec: 151.72
2020-05-14 11:27:31,174 epoch 6 - iter 2650/2650 - loss 2.20559361 - samples/sec: 150.13
2020-05-14 11:27:31,188 ----------------------------------------------------------------------------------------------------
2020-05-14 11:27:31,188 EPOCH 6 done: loss 2.2056 - lr 0.1000000
2020-05-14 11:27:31,188 BAD EPOCHS (no improvement): 0
2020-05-14 11:27:31,188 ----------------------------------------------------------------------------------------------------
2020-05-14 11:28:26,591 epoch 7 - iter 265/2650 - loss 2.15611175 - samples/sec: 153.13
2020-05-14 11:29:24,025 epoch 7 - iter 530/2650 - loss 2.12019031 - samples/sec: 147.73
2020-05-14 11:30:19,436 epoch 7 - iter 795/2650 - loss 2.11941454 - samples/sec: 153.13
2020-05-14 11:31:16,973 epoch 7 - iter 1060/2650 - loss 2.13487139 - samples/sec: 147.47
2020-05-14 11:32:12,982 epoch 7 - iter 1325/2650 - loss 2.12192764 - samples/sec: 151.49
2020-05-14 11:33:10,578 epoch 7 - iter 1590/2650 - loss 2.12786034 - samples/sec: 147.32
2020-05-14 11:34:07,004 epoch 7 - iter 1855/2650 - loss 2.12844235 - samples/sec: 150.37
2020-05-14 11:35:03,017 epoch 7 - iter 2120/2650 - loss 2.12947400 - samples/sec: 151.48
2020-05-14 11:36:00,353 epoch 7 - iter 2385/2650 - loss 2.13547135 - samples/sec: 147.99
2020-05-14 11:36:56,042 epoch 7 - iter 2650/2650 - loss 2.13214169 - samples/sec: 152.36
2020-05-14 11:36:56,056 ----------------------------------------------------------------------------------------------------
2020-05-14 11:36:56,056 EPOCH 7 done: loss 2.1321 - lr 0.1000000
2020-05-14 11:36:56,056 BAD EPOCHS (no improvement): 0
2020-05-14 11:36:56,056 ----------------------------------------------------------------------------------------------------
2020-05-14 11:37:51,358 epoch 8 - iter 265/2650 - loss 2.03394438 - samples/sec: 153.40
2020-05-14 11:38:47,299 epoch 8 - iter 530/2650 - loss 2.04718670 - samples/sec: 151.68
2020-05-14 11:39:44,671 epoch 8 - iter 795/2650 - loss 2.07191086 - samples/sec: 147.89
2020-05-14 11:40:40,472 epoch 8 - iter 1060/2650 - loss 2.07261704 - samples/sec: 152.06
2020-05-14 11:41:37,373 epoch 8 - iter 1325/2650 - loss 2.07430506 - samples/sec: 149.12
2020-05-14 11:42:33,496 epoch 8 - iter 1590/2650 - loss 2.07652532 - samples/sec: 151.19
2020-05-14 11:43:30,351 epoch 8 - iter 1855/2650 - loss 2.07048465 - samples/sec: 149.24
2020-05-14 11:44:25,741 epoch 8 - iter 2120/2650 - loss 2.06390218 - samples/sec: 153.19
2020-05-14 11:45:21,955 epoch 8 - iter 2385/2650 - loss 2.06198250 - samples/sec: 150.94
2020-05-14 11:46:16,473 epoch 8 - iter 2650/2650 - loss 2.06108500 - samples/sec: 155.64
2020-05-14 11:46:16,487 ----------------------------------------------------------------------------------------------------
2020-05-14 11:46:16,487 EPOCH 8 done: loss 2.0611 - lr 0.1000000
2020-05-14 11:46:16,487 BAD EPOCHS (no improvement): 0
2020-05-14 11:46:16,487 ----------------------------------------------------------------------------------------------------
2020-05-14 11:47:11,859 epoch 9 - iter 265/2650 - loss 1.99432925 - samples/sec: 153.21
2020-05-14 11:48:08,532 epoch 9 - iter 530/2650 - loss 1.98681500 - samples/sec: 149.72
2020-05-14 11:49:03,108 epoch 9 - iter 795/2650 - loss 1.99232868 - samples/sec: 155.47
2020-05-14 11:49:58,211 epoch 9 - iter 1060/2650 - loss 1.98563321 - samples/sec: 153.98
2020-05-14 11:51:03,557 epoch 9 - iter 1325/2650 - loss 2.00937204 - samples/sec: 129.84
2020-05-14 11:51:59,620 epoch 9 - iter 1590/2650 - loss 2.01911936 - samples/sec: 151.35
2020-05-14 11:52:56,709 epoch 9 - iter 1855/2650 - loss 2.02298053 - samples/sec: 148.62
2020-05-14 11:53:51,313 epoch 9 - iter 2120/2650 - loss 2.02146221 - samples/sec: 155.39
2020-05-14 11:54:48,508 epoch 9 - iter 2385/2650 - loss 2.02331715 - samples/sec: 148.35
2020-05-14 11:55:45,925 epoch 9 - iter 2650/2650 - loss 2.02156193 - samples/sec: 147.78
2020-05-14 11:55:45,938 ----------------------------------------------------------------------------------------------------
2020-05-14 11:55:45,938 EPOCH 9 done: loss 2.0216 - lr 0.1000000
2020-05-14 11:55:45,938 BAD EPOCHS (no improvement): 0
2020-05-14 11:55:45,938 ----------------------------------------------------------------------------------------------------
2020-05-14 11:56:42,221 epoch 10 - iter 265/2650 - loss 1.97012475 - samples/sec: 150.73
2020-05-14 11:57:37,300 epoch 10 - iter 530/2650 - loss 1.97352468 - samples/sec: 154.05
2020-05-14 11:58:32,726 epoch 10 - iter 795/2650 - loss 1.98009979 - samples/sec: 153.09
2020-05-14 11:59:29,458 epoch 10 - iter 1060/2650 - loss 1.97801928 - samples/sec: 149.56
2020-05-14 12:00:25,347 epoch 10 - iter 1325/2650 - loss 1.97117254 - samples/sec: 151.81
2020-05-14 12:01:20,557 epoch 10 - iter 1590/2650 - loss 1.96838184 - samples/sec: 153.68
2020-05-14 12:02:15,777 epoch 10 - iter 1855/2650 - loss 1.96439234 - samples/sec: 153.65
2020-05-14 12:03:11,953 epoch 10 - iter 2120/2650 - loss 1.96606724 - samples/sec: 151.05
2020-05-14 12:04:09,570 epoch 10 - iter 2385/2650 - loss 1.96744800 - samples/sec: 147.26
2020-05-14 12:05:06,096 epoch 10 - iter 2650/2650 - loss 1.97219161 - samples/sec: 150.11
2020-05-14 12:05:06,111 ----------------------------------------------------------------------------------------------------
2020-05-14 12:05:06,111 EPOCH 10 done: loss 1.9722 - lr 0.1000000
2020-05-14 12:05:06,111 BAD EPOCHS (no improvement): 0
2020-05-14 12:05:06,111 ----------------------------------------------------------------------------------------------------
2020-05-14 12:06:03,698 epoch 11 - iter 265/2650 - loss 1.96721082 - samples/sec: 147.32
2020-05-14 12:07:00,844 epoch 11 - iter 530/2650 - loss 1.96846828 - samples/sec: 148.48
2020-05-14 12:07:56,605 epoch 11 - iter 795/2650 - loss 1.95977663 - samples/sec: 152.16
2020-05-14 12:08:52,425 epoch 11 - iter 1060/2650 - loss 1.93150283 - samples/sec: 152.01
2020-05-14 12:09:48,263 epoch 11 - iter 1325/2650 - loss 1.93500586 - samples/sec: 151.95
2020-05-14 12:10:44,823 epoch 11 - iter 1590/2650 - loss 1.93223264 - samples/sec: 150.01
2020-05-14 12:11:43,125 epoch 11 - iter 1855/2650 - loss 1.93838780 - samples/sec: 145.53
2020-05-14 12:12:39,106 epoch 11 - iter 2120/2650 - loss 1.93673767 - samples/sec: 151.57
2020-05-14 12:13:33,971 epoch 11 - iter 2385/2650 - loss 1.93163249 - samples/sec: 154.65
2020-05-14 12:14:29,611 epoch 11 - iter 2650/2650 - loss 1.93762572 - samples/sec: 152.50
2020-05-14 12:14:29,625 ----------------------------------------------------------------------------------------------------
2020-05-14 12:14:29,625 EPOCH 11 done: loss 1.9376 - lr 0.1000000
2020-05-14 12:14:29,625 BAD EPOCHS (no improvement): 0
2020-05-14 12:14:29,625 ----------------------------------------------------------------------------------------------------
2020-05-14 12:15:25,677 epoch 12 - iter 265/2650 - loss 1.91245952 - samples/sec: 151.35
2020-05-14 12:16:23,195 epoch 12 - iter 530/2650 - loss 1.91070960 - samples/sec: 147.51
2020-05-14 12:17:19,588 epoch 12 - iter 795/2650 - loss 1.89549962 - samples/sec: 150.46
2020-05-14 12:18:16,442 epoch 12 - iter 1060/2650 - loss 1.90610191 - samples/sec: 149.24
2020-05-14 12:19:11,780 epoch 12 - iter 1325/2650 - loss 1.90757340 - samples/sec: 153.33
2020-05-14 12:20:07,703 epoch 12 - iter 1590/2650 - loss 1.92176446 - samples/sec: 151.72
2020-05-14 12:21:02,078 epoch 12 - iter 1855/2650 - loss 1.91927995 - samples/sec: 156.05
2020-05-14 12:21:55,618 epoch 12 - iter 2120/2650 - loss 1.90781475 - samples/sec: 158.48
2020-05-14 12:22:53,391 epoch 12 - iter 2385/2650 - loss 1.91296299 - samples/sec: 146.86
2020-05-14 12:23:49,994 epoch 12 - iter 2650/2650 - loss 1.91367446 - samples/sec: 149.90
2020-05-14 12:23:50,008 ----------------------------------------------------------------------------------------------------
2020-05-14 12:23:50,008 EPOCH 12 done: loss 1.9137 - lr 0.1000000
2020-05-14 12:23:50,008 BAD EPOCHS (no improvement): 0
2020-05-14 12:23:50,008 ----------------------------------------------------------------------------------------------------
2020-05-14 12:24:44,950 epoch 13 - iter 265/2650 - loss 1.84621327 - samples/sec: 154.41
2020-05-14 12:25:42,350 epoch 13 - iter 530/2650 - loss 1.86384640 - samples/sec: 147.82
2020-05-14 12:26:41,149 epoch 13 - iter 795/2650 - loss 1.86431431 - samples/sec: 144.30
2020-05-14 12:27:37,383 epoch 13 - iter 1060/2650 - loss 1.86474045 - samples/sec: 150.89
2020-05-14 12:28:34,019 epoch 13 - iter 1325/2650 - loss 1.87090791 - samples/sec: 149.81
2020-05-14 12:29:30,380 epoch 13 - iter 1590/2650 - loss 1.88210012 - samples/sec: 150.54
2020-05-14 12:30:26,266 epoch 13 - iter 1855/2650 - loss 1.87841399 - samples/sec: 151.83
2020-05-14 12:31:22,382 epoch 13 - iter 2120/2650 - loss 1.88170892 - samples/sec: 151.20
2020-05-14 12:32:18,376 epoch 13 - iter 2385/2650 - loss 1.88424724 - samples/sec: 151.54
2020-05-14 12:33:15,574 epoch 13 - iter 2650/2650 - loss 1.88157830 - samples/sec: 148.35
2020-05-14 12:33:15,589 ----------------------------------------------------------------------------------------------------
2020-05-14 12:33:15,589 EPOCH 13 done: loss 1.8816 - lr 0.1000000
2020-05-14 12:33:15,589 BAD EPOCHS (no improvement): 0
2020-05-14 12:33:15,589 ----------------------------------------------------------------------------------------------------
2020-05-14 12:34:13,089 epoch 14 - iter 265/2650 - loss 1.88801429 - samples/sec: 147.54
2020-05-14 12:35:07,686 epoch 14 - iter 530/2650 - loss 1.88065122 - samples/sec: 155.41
2020-05-14 12:36:02,122 epoch 14 - iter 795/2650 - loss 1.85181267 - samples/sec: 155.87
2020-05-14 12:36:59,175 epoch 14 - iter 1060/2650 - loss 1.85959102 - samples/sec: 148.72
2020-05-14 12:37:56,533 epoch 14 - iter 1325/2650 - loss 1.86589656 - samples/sec: 147.93
2020-05-14 12:38:54,091 epoch 14 - iter 1590/2650 - loss 1.86028948 - samples/sec: 147.41
2020-05-14 12:39:50,648 epoch 14 - iter 1855/2650 - loss 1.86572628 - samples/sec: 150.02
2020-05-14 12:40:47,058 epoch 14 - iter 2120/2650 - loss 1.86872493 - samples/sec: 150.42
2020-05-14 12:41:42,015 epoch 14 - iter 2385/2650 - loss 1.86492871 - samples/sec: 154.39
2020-05-14 12:42:38,076 epoch 14 - iter 2650/2650 - loss 1.87040401 - samples/sec: 151.35
2020-05-14 12:42:38,090 ----------------------------------------------------------------------------------------------------
2020-05-14 12:42:38,090 EPOCH 14 done: loss 1.8704 - lr 0.1000000
2020-05-14 12:42:38,090 BAD EPOCHS (no improvement): 0
2020-05-14 12:42:38,090 ----------------------------------------------------------------------------------------------------
2020-05-14 12:43:33,583 epoch 15 - iter 265/2650 - loss 1.82378003 - samples/sec: 152.88
2020-05-14 12:44:29,767 epoch 15 - iter 530/2650 - loss 1.81150589 - samples/sec: 151.02
2020-05-14 12:45:26,937 epoch 15 - iter 795/2650 - loss 1.81914661 - samples/sec: 148.41
2020-05-14 12:46:24,248 epoch 15 - iter 1060/2650 - loss 1.81662914 - samples/sec: 148.05
2020-05-14 12:47:19,196 epoch 15 - iter 1325/2650 - loss 1.82027580 - samples/sec: 154.42
2020-05-14 12:48:15,863 epoch 15 - iter 1590/2650 - loss 1.82031644 - samples/sec: 149.73
2020-05-14 12:49:12,284 epoch 15 - iter 1855/2650 - loss 1.82339177 - samples/sec: 150.39
2020-05-14 12:50:08,409 epoch 15 - iter 2120/2650 - loss 1.83576318 - samples/sec: 151.18
2020-05-14 12:51:04,512 epoch 15 - iter 2385/2650 - loss 1.83398029 - samples/sec: 151.24
2020-05-14 12:52:01,063 epoch 15 - iter 2650/2650 - loss 1.83141680 - samples/sec: 150.04
2020-05-14 12:52:01,076 ----------------------------------------------------------------------------------------------------
2020-05-14 12:52:01,076 EPOCH 15 done: loss 1.8314 - lr 0.1000000
2020-05-14 12:52:01,076 BAD EPOCHS (no improvement): 0
2020-05-14 12:52:01,077 ----------------------------------------------------------------------------------------------------
2020-05-14 12:52:56,600 epoch 16 - iter 265/2650 - loss 1.76603810 - samples/sec: 152.80
2020-05-14 12:53:53,256 epoch 16 - iter 530/2650 - loss 1.81826810 - samples/sec: 149.76
2020-05-14 12:54:48,851 epoch 16 - iter 795/2650 - loss 1.82691386 - samples/sec: 152.62
2020-05-14 12:55:44,058 epoch 16 - iter 1060/2650 - loss 1.81263683 - samples/sec: 153.69
2020-05-14 12:56:39,765 epoch 16 - iter 1325/2650 - loss 1.81759714 - samples/sec: 152.31
2020-05-14 12:57:36,154 epoch 16 - iter 1590/2650 - loss 1.82200786 - samples/sec: 150.47
2020-05-14 12:58:31,959 epoch 16 - iter 1855/2650 - loss 1.81754712 - samples/sec: 152.04
2020-05-14 12:59:30,142 epoch 16 - iter 2120/2650 - loss 1.81908091 - samples/sec: 145.83
2020-05-14 13:00:28,366 epoch 16 - iter 2385/2650 - loss 1.81798669 - samples/sec: 145.73
2020-05-14 13:01:23,828 epoch 16 - iter 2650/2650 - loss 1.81520096 - samples/sec: 152.99
2020-05-14 13:01:23,842 ----------------------------------------------------------------------------------------------------
2020-05-14 13:01:23,842 EPOCH 16 done: loss 1.8152 - lr 0.1000000
2020-05-14 13:01:23,842 BAD EPOCHS (no improvement): 0
2020-05-14 13:01:23,842 ----------------------------------------------------------------------------------------------------
2020-05-14 13:02:18,511 epoch 17 - iter 265/2650 - loss 1.73510749 - samples/sec: 155.18
2020-05-14 13:03:13,559 epoch 17 - iter 530/2650 - loss 1.74661955 - samples/sec: 154.14
2020-05-14 13:04:09,913 epoch 17 - iter 795/2650 - loss 1.75335795 - samples/sec: 150.56
2020-05-14 13:05:05,720 epoch 17 - iter 1060/2650 - loss 1.77572097 - samples/sec: 152.04
2020-05-14 13:06:03,427 epoch 17 - iter 1325/2650 - loss 1.78928767 - samples/sec: 147.03
2020-05-14 13:06:59,321 epoch 17 - iter 1590/2650 - loss 1.79127037 - samples/sec: 151.80
2020-05-14 13:07:55,937 epoch 17 - iter 1855/2650 - loss 1.78885422 - samples/sec: 149.87
2020-05-14 13:08:51,869 epoch 17 - iter 2120/2650 - loss 1.78966982 - samples/sec: 151.70
2020-05-14 13:09:48,470 epoch 17 - iter 2385/2650 - loss 1.79737143 - samples/sec: 149.91
2020-05-14 13:10:42,957 epoch 17 - iter 2650/2650 - loss 1.79529959 - samples/sec: 155.73
2020-05-14 13:10:42,970 ----------------------------------------------------------------------------------------------------
2020-05-14 13:10:42,970 EPOCH 17 done: loss 1.7953 - lr 0.1000000
2020-05-14 13:10:42,971 BAD EPOCHS (no improvement): 0
2020-05-14 13:10:42,971 ----------------------------------------------------------------------------------------------------
2020-05-14 13:11:37,757 epoch 18 - iter 265/2650 - loss 1.73115091 - samples/sec: 154.85
2020-05-14 13:12:32,250 epoch 18 - iter 530/2650 - loss 1.75922408 - samples/sec: 155.71
2020-05-14 13:13:26,737 epoch 18 - iter 795/2650 - loss 1.76938965 - samples/sec: 155.72
2020-05-14 13:14:23,177 epoch 18 - iter 1060/2650 - loss 1.76708265 - samples/sec: 150.33
2020-05-14 13:15:20,594 epoch 18 - iter 1325/2650 - loss 1.78107860 - samples/sec: 147.77
2020-05-14 13:16:14,558 epoch 18 - iter 1590/2650 - loss 1.77835625 - samples/sec: 157.23
2020-05-14 13:17:11,901 epoch 18 - iter 1855/2650 - loss 1.78209803 - samples/sec: 147.97
2020-05-14 13:18:07,643 epoch 18 - iter 2120/2650 - loss 1.77857555 - samples/sec: 152.22
2020-05-14 13:19:03,527 epoch 18 - iter 2385/2650 - loss 1.77697915 - samples/sec: 151.83
2020-05-14 13:19:59,919 epoch 18 - iter 2650/2650 - loss 1.78278416 - samples/sec: 150.46
2020-05-14 13:19:59,932 ----------------------------------------------------------------------------------------------------
2020-05-14 13:19:59,932 EPOCH 18 done: loss 1.7828 - lr 0.1000000
2020-05-14 13:19:59,932 BAD EPOCHS (no improvement): 0
2020-05-14 13:19:59,932 ----------------------------------------------------------------------------------------------------
2020-05-14 13:20:54,632 epoch 19 - iter 265/2650 - loss 1.72322528 - samples/sec: 155.09
2020-05-14 13:21:50,653 epoch 19 - iter 530/2650 - loss 1.74014429 - samples/sec: 151.46
2020-05-14 13:22:46,007 epoch 19 - iter 795/2650 - loss 1.76402597 - samples/sec: 153.29
2020-05-14 13:23:41,738 epoch 19 - iter 1060/2650 - loss 1.75461412 - samples/sec: 152.25
2020-05-14 13:24:38,994 epoch 19 - iter 1325/2650 - loss 1.75790780 - samples/sec: 148.19
2020-05-14 13:25:37,772 epoch 19 - iter 1590/2650 - loss 1.75817517 - samples/sec: 144.35
2020-05-14 13:26:35,317 epoch 19 - iter 1855/2650 - loss 1.76069574 - samples/sec: 147.45
2020-05-14 13:27:32,229 epoch 19 - iter 2120/2650 - loss 1.75999778 - samples/sec: 149.09
2020-05-14 13:28:29,542 epoch 19 - iter 2385/2650 - loss 1.76491769 - samples/sec: 148.04
2020-05-14 13:29:26,260 epoch 19 - iter 2650/2650 - loss 1.76829168 - samples/sec: 149.60
2020-05-14 13:29:26,273 ----------------------------------------------------------------------------------------------------
2020-05-14 13:29:26,274 EPOCH 19 done: loss 1.7683 - lr 0.1000000
2020-05-14 13:29:26,274 BAD EPOCHS (no improvement): 0
2020-05-14 13:29:26,274 ----------------------------------------------------------------------------------------------------
2020-05-14 13:30:23,608 epoch 20 - iter 265/2650 - loss 1.70918594 - samples/sec: 147.97
2020-05-14 13:31:21,024 epoch 20 - iter 530/2650 - loss 1.72966715 - samples/sec: 147.78
2020-05-14 13:32:18,390 epoch 20 - iter 795/2650 - loss 1.73500763 - samples/sec: 147.91
2020-05-14 13:33:12,699 epoch 20 - iter 1060/2650 - loss 1.71883186 - samples/sec: 156.24
2020-05-14 13:34:08,029 epoch 20 - iter 1325/2650 - loss 1.72537716 - samples/sec: 153.35
2020-05-14 13:35:04,732 epoch 20 - iter 1590/2650 - loss 1.73600755 - samples/sec: 149.64
2020-05-14 13:36:00,700 epoch 20 - iter 1855/2650 - loss 1.73812130 - samples/sec: 151.60
2020-05-14 13:36:58,788 epoch 20 - iter 2120/2650 - loss 1.74304847 - samples/sec: 146.07
2020-05-14 13:37:55,184 epoch 20 - iter 2385/2650 - loss 1.74386316 - samples/sec: 150.45
2020-05-14 13:38:51,343 epoch 20 - iter 2650/2650 - loss 1.74749858 - samples/sec: 151.09
2020-05-14 13:38:51,357 ----------------------------------------------------------------------------------------------------
2020-05-14 13:38:51,357 EPOCH 20 done: loss 1.7475 - lr 0.1000000
2020-05-14 13:38:51,357 BAD EPOCHS (no improvement): 0
2020-05-14 13:38:51,357 ----------------------------------------------------------------------------------------------------
2020-05-14 13:39:45,677 epoch 21 - iter 265/2650 - loss 1.69243340 - samples/sec: 156.18
2020-05-14 13:40:43,171 epoch 21 - iter 530/2650 - loss 1.72245382 - samples/sec: 147.58
2020-05-14 13:41:40,215 epoch 21 - iter 795/2650 - loss 1.72375244 - samples/sec: 148.74
2020-05-14 13:42:36,198 epoch 21 - iter 1060/2650 - loss 1.73311703 - samples/sec: 151.56
2020-05-14 13:43:33,084 epoch 21 - iter 1325/2650 - loss 1.72588663 - samples/sec: 149.15
2020-05-14 13:44:29,375 epoch 21 - iter 1590/2650 - loss 1.72632128 - samples/sec: 150.74
2020-05-14 13:45:25,912 epoch 21 - iter 1855/2650 - loss 1.72378858 - samples/sec: 150.08
2020-05-14 13:46:21,033 epoch 21 - iter 2120/2650 - loss 1.72816261 - samples/sec: 153.93
2020-05-14 13:47:17,859 epoch 21 - iter 2385/2650 - loss 1.73115682 - samples/sec: 149.31
2020-05-14 13:48:12,876 epoch 21 - iter 2650/2650 - loss 1.73689364 - samples/sec: 154.22
2020-05-14 13:48:12,889 ----------------------------------------------------------------------------------------------------
2020-05-14 13:48:12,889 EPOCH 21 done: loss 1.7369 - lr 0.1000000
2020-05-14 13:48:12,889 BAD EPOCHS (no improvement): 0
2020-05-14 13:48:12,889 ----------------------------------------------------------------------------------------------------
2020-05-14 13:49:09,261 epoch 22 - iter 265/2650 - loss 1.68799547 - samples/sec: 150.49
2020-05-14 13:50:06,232 epoch 22 - iter 530/2650 - loss 1.73059530 - samples/sec: 148.93
2020-05-14 13:51:03,058 epoch 22 - iter 795/2650 - loss 1.72878207 - samples/sec: 149.31
2020-05-14 13:51:59,247 epoch 22 - iter 1060/2650 - loss 1.72160228 - samples/sec: 151.01
2020-05-14 13:52:56,295 epoch 22 - iter 1325/2650 - loss 1.72772414 - samples/sec: 148.73
2020-05-14 13:53:52,523 epoch 22 - iter 1590/2650 - loss 1.72568048 - samples/sec: 150.90
2020-05-14 13:54:49,739 epoch 22 - iter 1855/2650 - loss 1.72297791 - samples/sec: 148.30
2020-05-14 13:55:45,647 epoch 22 - iter 2120/2650 - loss 1.72036868 - samples/sec: 151.76
2020-05-14 13:56:41,332 epoch 22 - iter 2385/2650 - loss 1.71862399 - samples/sec: 152.38
2020-05-14 13:57:39,871 epoch 22 - iter 2650/2650 - loss 1.72317567 - samples/sec: 144.95
2020-05-14 13:57:39,885 ----------------------------------------------------------------------------------------------------
2020-05-14 13:57:39,885 EPOCH 22 done: loss 1.7232 - lr 0.1000000
2020-05-14 13:57:39,885 BAD EPOCHS (no improvement): 0
2020-05-14 13:57:39,885 ----------------------------------------------------------------------------------------------------
2020-05-14 13:58:36,451 epoch 23 - iter 265/2650 - loss 1.67854412 - samples/sec: 149.98
2020-05-14 13:59:32,694 epoch 23 - iter 530/2650 - loss 1.69083727 - samples/sec: 150.87
2020-05-14 14:00:29,464 epoch 23 - iter 795/2650 - loss 1.69383097 - samples/sec: 149.46
2020-05-14 14:01:26,449 epoch 23 - iter 1060/2650 - loss 1.69633842 - samples/sec: 148.90
2020-05-14 14:02:24,607 epoch 23 - iter 1325/2650 - loss 1.70246307 - samples/sec: 145.89
2020-05-14 14:03:20,571 epoch 23 - iter 1590/2650 - loss 1.70433416 - samples/sec: 151.61
2020-05-14 14:04:17,746 epoch 23 - iter 1855/2650 - loss 1.70907598 - samples/sec: 148.40
2020-05-14 14:05:14,590 epoch 23 - iter 2120/2650 - loss 1.70957856 - samples/sec: 149.27
2020-05-14 14:06:12,173 epoch 23 - iter 2385/2650 - loss 1.70919477 - samples/sec: 147.35
2020-05-14 14:07:08,293 epoch 23 - iter 2650/2650 - loss 1.71244594 - samples/sec: 151.19
2020-05-14 14:07:08,308 ----------------------------------------------------------------------------------------------------
2020-05-14 14:07:08,308 EPOCH 23 done: loss 1.7124 - lr 0.1000000
2020-05-14 14:07:08,308 BAD EPOCHS (no improvement): 0
2020-05-14 14:07:08,308 ----------------------------------------------------------------------------------------------------
2020-05-14 14:08:04,920 epoch 24 - iter 265/2650 - loss 1.63573187 - samples/sec: 149.85
2020-05-14 14:09:02,814 epoch 24 - iter 530/2650 - loss 1.65844804 - samples/sec: 146.56
2020-05-14 14:10:00,917 epoch 24 - iter 795/2650 - loss 1.66406423 - samples/sec: 146.03
2020-05-14 14:10:57,255 epoch 24 - iter 1060/2650 - loss 1.67754664 - samples/sec: 150.61
2020-05-14 14:11:55,585 epoch 24 - iter 1325/2650 - loss 1.67773895 - samples/sec: 145.46
2020-05-14 14:12:53,020 epoch 24 - iter 1590/2650 - loss 1.68886707 - samples/sec: 147.73
2020-05-14 14:13:48,975 epoch 24 - iter 1855/2650 - loss 1.68749788 - samples/sec: 151.64
2020-05-14 14:14:45,524 epoch 24 - iter 2120/2650 - loss 1.69065745 - samples/sec: 150.05
2020-05-14 14:15:41,280 epoch 24 - iter 2385/2650 - loss 1.69434195 - samples/sec: 152.18
2020-05-14 14:16:39,694 epoch 24 - iter 2650/2650 - loss 1.69817682 - samples/sec: 145.26
2020-05-14 14:16:39,708 ----------------------------------------------------------------------------------------------------
2020-05-14 14:16:39,708 EPOCH 24 done: loss 1.6982 - lr 0.1000000
2020-05-14 14:16:39,708 BAD EPOCHS (no improvement): 0
2020-05-14 14:16:39,708 ----------------------------------------------------------------------------------------------------
2020-05-14 14:17:35,585 epoch 25 - iter 265/2650 - loss 1.62762236 - samples/sec: 151.83
2020-05-14 14:18:32,746 epoch 25 - iter 530/2650 - loss 1.64173780 - samples/sec: 148.44
2020-05-14 14:19:30,971 epoch 25 - iter 795/2650 - loss 1.66672828 - samples/sec: 145.72
2020-05-14 14:20:27,185 epoch 25 - iter 1060/2650 - loss 1.67792867 - samples/sec: 150.94
2020-05-14 14:21:23,275 epoch 25 - iter 1325/2650 - loss 1.68277377 - samples/sec: 151.27
2020-05-14 14:22:18,928 epoch 25 - iter 1590/2650 - loss 1.68371928 - samples/sec: 152.46
2020-05-14 14:23:16,522 epoch 25 - iter 1855/2650 - loss 1.69156181 - samples/sec: 147.32
2020-05-14 14:24:13,209 epoch 25 - iter 2120/2650 - loss 1.69102913 - samples/sec: 149.68
2020-05-14 14:25:12,077 epoch 25 - iter 2385/2650 - loss 1.69734491 - samples/sec: 144.13
2020-05-14 14:26:08,687 epoch 25 - iter 2650/2650 - loss 1.69888648 - samples/sec: 149.88
2020-05-14 14:26:08,701 ----------------------------------------------------------------------------------------------------
2020-05-14 14:26:08,701 EPOCH 25 done: loss 1.6989 - lr 0.1000000
2020-05-14 14:26:08,701 BAD EPOCHS (no improvement): 1
2020-05-14 14:26:08,702 ----------------------------------------------------------------------------------------------------
2020-05-14 14:27:04,303 epoch 26 - iter 265/2650 - loss 1.63468229 - samples/sec: 152.58
2020-05-14 14:27:59,810 epoch 26 - iter 530/2650 - loss 1.65683049 - samples/sec: 152.86
2020-05-14 14:28:56,247 epoch 26 - iter 795/2650 - loss 1.67662762 - samples/sec: 150.34
2020-05-14 14:29:52,028 epoch 26 - iter 1060/2650 - loss 1.67877426 - samples/sec: 152.11
2020-05-14 14:30:48,264 epoch 26 - iter 1325/2650 - loss 1.68091577 - samples/sec: 150.88
2020-05-14 14:31:46,207 epoch 26 - iter 1590/2650 - loss 1.68317058 - samples/sec: 146.43
2020-05-14 14:32:42,232 epoch 26 - iter 1855/2650 - loss 1.67997177 - samples/sec: 151.45
2020-05-14 14:33:37,992 epoch 26 - iter 2120/2650 - loss 1.68931402 - samples/sec: 152.17
2020-05-14 14:34:33,311 epoch 26 - iter 2385/2650 - loss 1.69177789 - samples/sec: 153.38
2020-05-14 14:35:29,530 epoch 26 - iter 2650/2650 - loss 1.68897611 - samples/sec: 150.93
2020-05-14 14:35:29,543 ----------------------------------------------------------------------------------------------------
2020-05-14 14:35:29,543 EPOCH 26 done: loss 1.6890 - lr 0.1000000
2020-05-14 14:35:29,543 BAD EPOCHS (no improvement): 0
2020-05-14 14:35:29,543 ----------------------------------------------------------------------------------------------------
2020-05-14 14:36:25,548 epoch 27 - iter 265/2650 - loss 1.69454405 - samples/sec: 151.48
2020-05-14 14:37:24,603 epoch 27 - iter 530/2650 - loss 1.68406523 - samples/sec: 143.67
2020-05-14 14:38:20,587 epoch 27 - iter 795/2650 - loss 1.66486070 - samples/sec: 151.56
2020-05-14 14:39:17,643 epoch 27 - iter 1060/2650 - loss 1.66273034 - samples/sec: 148.71
2020-05-14 14:40:14,115 epoch 27 - iter 1325/2650 - loss 1.67731525 - samples/sec: 150.25
2020-05-14 14:41:09,240 epoch 27 - iter 1590/2650 - loss 1.66925461 - samples/sec: 153.92
2020-05-14 14:42:05,165 epoch 27 - iter 1855/2650 - loss 1.67311816 - samples/sec: 151.72
2020-05-14 14:43:02,118 epoch 27 - iter 2120/2650 - loss 1.67595351 - samples/sec: 148.98
2020-05-14 14:43:58,632 epoch 27 - iter 2385/2650 - loss 1.67643081 - samples/sec: 150.14
2020-05-14 14:44:55,345 epoch 27 - iter 2650/2650 - loss 1.67711386 - samples/sec: 149.61
2020-05-14 14:44:55,359 ----------------------------------------------------------------------------------------------------
2020-05-14 14:44:55,359 EPOCH 27 done: loss 1.6771 - lr 0.1000000
2020-05-14 14:44:55,359 BAD EPOCHS (no improvement): 0
2020-05-14 14:44:55,359 ----------------------------------------------------------------------------------------------------
2020-05-14 14:45:53,102 epoch 28 - iter 265/2650 - loss 1.64803932 - samples/sec: 146.92
2020-05-14 14:46:49,300 epoch 28 - iter 530/2650 - loss 1.65588215 - samples/sec: 150.98
2020-05-14 14:47:44,538 epoch 28 - iter 795/2650 - loss 1.65811508 - samples/sec: 153.61
2020-05-14 14:48:41,575 epoch 28 - iter 1060/2650 - loss 1.66460999 - samples/sec: 148.76
2020-05-14 14:49:37,908 epoch 28 - iter 1325/2650 - loss 1.67064541 - samples/sec: 150.62
2020-05-14 14:50:32,607 epoch 28 - iter 1590/2650 - loss 1.66884366 - samples/sec: 155.12
2020-05-14 14:51:29,712 epoch 28 - iter 1855/2650 - loss 1.67100494 - samples/sec: 148.59
2020-05-14 14:52:27,886 epoch 28 - iter 2120/2650 - loss 1.67671928 - samples/sec: 145.85
2020-05-14 14:53:22,419 epoch 28 - iter 2385/2650 - loss 1.67622381 - samples/sec: 155.59
2020-05-14 14:54:17,411 epoch 28 - iter 2650/2650 - loss 1.67771018 - samples/sec: 154.30
2020-05-14 14:54:17,425 ----------------------------------------------------------------------------------------------------
2020-05-14 14:54:17,426 EPOCH 28 done: loss 1.6777 - lr 0.1000000
2020-05-14 14:54:17,426 BAD EPOCHS (no improvement): 1
2020-05-14 14:54:17,426 ----------------------------------------------------------------------------------------------------
2020-05-14 14:55:13,333 epoch 29 - iter 265/2650 - loss 1.60517502 - samples/sec: 151.74
2020-05-14 14:56:09,330 epoch 29 - iter 530/2650 - loss 1.63459781 - samples/sec: 151.52
2020-05-14 14:57:05,311 epoch 29 - iter 795/2650 - loss 1.62889786 - samples/sec: 151.57
2020-05-14 14:58:01,772 epoch 29 - iter 1060/2650 - loss 1.62999159 - samples/sec: 150.28
2020-05-14 14:58:58,696 epoch 29 - iter 1325/2650 - loss 1.64240484 - samples/sec: 149.06
2020-05-14 14:59:53,836 epoch 29 - iter 1590/2650 - loss 1.64598302 - samples/sec: 153.88
2020-05-14 15:00:51,641 epoch 29 - iter 1855/2650 - loss 1.65491822 - samples/sec: 146.78
2020-05-14 15:01:48,212 epoch 29 - iter 2120/2650 - loss 1.65764954 - samples/sec: 149.99
2020-05-14 15:02:43,634 epoch 29 - iter 2385/2650 - loss 1.66058174 - samples/sec: 153.09
2020-05-14 15:03:39,519 epoch 29 - iter 2650/2650 - loss 1.66600778 - samples/sec: 151.83
2020-05-14 15:03:39,533 ----------------------------------------------------------------------------------------------------
2020-05-14 15:03:39,533 EPOCH 29 done: loss 1.6660 - lr 0.1000000
2020-05-14 15:03:39,533 BAD EPOCHS (no improvement): 0
2020-05-14 15:03:39,533 ----------------------------------------------------------------------------------------------------
2020-05-14 15:04:34,348 epoch 30 - iter 265/2650 - loss 1.56074486 - samples/sec: 154.77
2020-05-14 15:05:30,461 epoch 30 - iter 530/2650 - loss 1.61506318 - samples/sec: 151.21
2020-05-14 15:06:28,161 epoch 30 - iter 795/2650 - loss 1.61691131 - samples/sec: 147.05
2020-05-14 15:07:25,780 epoch 30 - iter 1060/2650 - loss 1.61487648 - samples/sec: 147.26
2020-05-14 15:08:23,416 epoch 30 - iter 1325/2650 - loss 1.62365791 - samples/sec: 147.21
2020-05-14 15:09:21,092 epoch 30 - iter 1590/2650 - loss 1.62974479 - samples/sec: 147.11
2020-05-14 15:10:17,879 epoch 30 - iter 1855/2650 - loss 1.63934421 - samples/sec: 149.42
2020-05-14 15:11:16,922 epoch 30 - iter 2120/2650 - loss 1.64733607 - samples/sec: 143.70
2020-05-14 15:12:13,310 epoch 30 - iter 2385/2650 - loss 1.64767119 - samples/sec: 150.48
2020-05-14 15:13:09,511 epoch 30 - iter 2650/2650 - loss 1.65175299 - samples/sec: 150.98
2020-05-14 15:13:09,525 ----------------------------------------------------------------------------------------------------
2020-05-14 15:13:09,525 EPOCH 30 done: loss 1.6518 - lr 0.1000000
2020-05-14 15:13:09,525 BAD EPOCHS (no improvement): 0
2020-05-14 15:13:09,525 ----------------------------------------------------------------------------------------------------
2020-05-14 15:14:05,567 epoch 31 - iter 265/2650 - loss 1.61162382 - samples/sec: 151.38
2020-05-14 15:15:03,252 epoch 31 - iter 530/2650 - loss 1.61415301 - samples/sec: 147.09
2020-05-14 15:16:01,825 epoch 31 - iter 795/2650 - loss 1.61545812 - samples/sec: 144.86
2020-05-14 15:17:02,153 epoch 31 - iter 1060/2650 - loss 1.62605615 - samples/sec: 140.65
2020-05-14 15:17:59,120 epoch 31 - iter 1325/2650 - loss 1.63849117 - samples/sec: 148.94
2020-05-14 15:18:55,833 epoch 31 - iter 1590/2650 - loss 1.64246995 - samples/sec: 149.61
2020-05-14 15:19:52,195 epoch 31 - iter 1855/2650 - loss 1.64847626 - samples/sec: 150.54
2020-05-14 15:20:46,850 epoch 31 - iter 2120/2650 - loss 1.64788317 - samples/sec: 155.25
2020-05-14 15:21:42,383 epoch 31 - iter 2385/2650 - loss 1.64825965 - samples/sec: 152.79
2020-05-14 15:22:38,411 epoch 31 - iter 2650/2650 - loss 1.64806510 - samples/sec: 151.44
2020-05-14 15:22:38,425 ----------------------------------------------------------------------------------------------------
2020-05-14 15:22:38,425 EPOCH 31 done: loss 1.6481 - lr 0.1000000
2020-05-14 15:22:38,425 BAD EPOCHS (no improvement): 0
2020-05-14 15:22:38,425 ----------------------------------------------------------------------------------------------------
2020-05-14 15:23:34,411 epoch 32 - iter 265/2650 - loss 1.64997007 - samples/sec: 151.53
2020-05-14 15:24:32,277 epoch 32 - iter 530/2650 - loss 1.64820799 - samples/sec: 146.63
2020-05-14 15:25:28,882 epoch 32 - iter 795/2650 - loss 1.64561131 - samples/sec: 149.89
2020-05-14 15:26:23,567 epoch 32 - iter 1060/2650 - loss 1.64597925 - samples/sec: 155.16
2020-05-14 15:27:20,830 epoch 32 - iter 1325/2650 - loss 1.63841238 - samples/sec: 148.17
2020-05-14 15:28:17,853 epoch 32 - iter 1590/2650 - loss 1.64407408 - samples/sec: 148.79
2020-05-14 15:29:12,759 epoch 32 - iter 1855/2650 - loss 1.63702947 - samples/sec: 154.53
2020-05-14 15:30:07,983 epoch 32 - iter 2120/2650 - loss 1.63889736 - samples/sec: 153.64
2020-05-14 15:31:03,396 epoch 32 - iter 2385/2650 - loss 1.64226747 - samples/sec: 153.12
2020-05-14 15:31:57,879 epoch 32 - iter 2650/2650 - loss 1.64568732 - samples/sec: 155.74
2020-05-14 15:31:57,892 ----------------------------------------------------------------------------------------------------
2020-05-14 15:31:57,892 EPOCH 32 done: loss 1.6457 - lr 0.1000000
2020-05-14 15:31:57,892 BAD EPOCHS (no improvement): 0
2020-05-14 15:31:57,892 ----------------------------------------------------------------------------------------------------
2020-05-14 15:32:54,321 epoch 33 - iter 265/2650 - loss 1.60042889 - samples/sec: 150.34
2020-05-14 15:33:51,052 epoch 33 - iter 530/2650 - loss 1.61731168 - samples/sec: 149.56
2020-05-14 15:34:47,057 epoch 33 - iter 795/2650 - loss 1.62216513 - samples/sec: 151.50
2020-05-14 15:35:42,164 epoch 33 - iter 1060/2650 - loss 1.63088409 - samples/sec: 153.97
2020-05-14 15:36:38,037 epoch 33 - iter 1325/2650 - loss 1.63765080 - samples/sec: 151.86
2020-05-14 15:37:32,308 epoch 33 - iter 1590/2650 - loss 1.63373663 - samples/sec: 156.34
2020-05-14 15:38:27,211 epoch 33 - iter 1855/2650 - loss 1.63336766 - samples/sec: 154.54
2020-05-14 15:39:21,693 epoch 33 - iter 2120/2650 - loss 1.63960653 - samples/sec: 155.74
2020-05-14 15:40:16,175 epoch 33 - iter 2385/2650 - loss 1.63737285 - samples/sec: 155.73
2020-05-14 15:41:10,021 epoch 33 - iter 2650/2650 - loss 1.63440377 - samples/sec: 157.58
2020-05-14 15:41:10,034 ----------------------------------------------------------------------------------------------------
2020-05-14 15:41:10,035 EPOCH 33 done: loss 1.6344 - lr 0.1000000
2020-05-14 15:41:10,035 BAD EPOCHS (no improvement): 0
2020-05-14 15:41:10,035 ----------------------------------------------------------------------------------------------------
2020-05-14 15:42:04,327 epoch 34 - iter 265/2650 - loss 1.60861580 - samples/sec: 156.26
2020-05-14 15:43:00,059 epoch 34 - iter 530/2650 - loss 1.58792842 - samples/sec: 152.24
2020-05-14 15:43:54,774 epoch 34 - iter 795/2650 - loss 1.59692840 - samples/sec: 155.08
2020-05-14 15:44:50,042 epoch 34 - iter 1060/2650 - loss 1.59523190 - samples/sec: 153.52
2020-05-14 15:45:44,245 epoch 34 - iter 1325/2650 - loss 1.60338872 - samples/sec: 156.54
2020-05-14 15:46:39,443 epoch 34 - iter 1590/2650 - loss 1.60693055 - samples/sec: 153.72
2020-05-14 15:47:34,083 epoch 34 - iter 1855/2650 - loss 1.61104768 - samples/sec: 155.28
2020-05-14 15:48:31,056 epoch 34 - iter 2120/2650 - loss 1.62081119 - samples/sec: 148.92
2020-05-14 15:49:25,207 epoch 34 - iter 2385/2650 - loss 1.62231854 - samples/sec: 156.69
2020-05-14 15:50:20,078 epoch 34 - iter 2650/2650 - loss 1.62678801 - samples/sec: 154.63
2020-05-14 15:50:20,092 ----------------------------------------------------------------------------------------------------
2020-05-14 15:50:20,092 EPOCH 34 done: loss 1.6268 - lr 0.1000000
2020-05-14 15:50:20,092 BAD EPOCHS (no improvement): 0
2020-05-14 15:50:20,092 ----------------------------------------------------------------------------------------------------
2020-05-14 15:51:15,074 epoch 35 - iter 265/2650 - loss 1.64780546 - samples/sec: 154.30
2020-05-14 15:52:08,982 epoch 35 - iter 530/2650 - loss 1.62551160 - samples/sec: 157.40
2020-05-14 15:53:04,943 epoch 35 - iter 795/2650 - loss 1.63699899 - samples/sec: 151.62
2020-05-14 15:53:58,823 epoch 35 - iter 1060/2650 - loss 1.63201742 - samples/sec: 157.48
2020-05-14 15:54:53,356 epoch 35 - iter 1325/2650 - loss 1.63028282 - samples/sec: 155.59
2020-05-14 15:55:48,778 epoch 35 - iter 1590/2650 - loss 1.62741544 - samples/sec: 153.09
2020-05-14 15:56:44,377 epoch 35 - iter 1855/2650 - loss 1.62961545 - samples/sec: 152.61
2020-05-14 15:57:39,585 epoch 35 - iter 2120/2650 - loss 1.63111055 - samples/sec: 153.69
2020-05-14 15:58:33,730 epoch 35 - iter 2385/2650 - loss 1.63051250 - samples/sec: 156.71
2020-05-14 15:59:28,114 epoch 35 - iter 2650/2650 - loss 1.62953876 - samples/sec: 156.02
2020-05-14 15:59:28,127 ----------------------------------------------------------------------------------------------------
2020-05-14 15:59:28,127 EPOCH 35 done: loss 1.6295 - lr 0.1000000
2020-05-14 15:59:28,127 BAD EPOCHS (no improvement): 1
2020-05-14 15:59:28,127 ----------------------------------------------------------------------------------------------------
2020-05-14 16:00:22,748 epoch 36 - iter 265/2650 - loss 1.58762422 - samples/sec: 155.32
2020-05-14 16:01:18,419 epoch 36 - iter 530/2650 - loss 1.59335367 - samples/sec: 152.41
2020-05-14 16:02:12,350 epoch 36 - iter 795/2650 - loss 1.59162829 - samples/sec: 157.33
2020-05-14 16:03:07,371 epoch 36 - iter 1060/2650 - loss 1.59877312 - samples/sec: 154.21
2020-05-14 16:04:02,987 epoch 36 - iter 1325/2650 - loss 1.60589676 - samples/sec: 152.56
2020-05-14 16:04:57,342 epoch 36 - iter 1590/2650 - loss 1.60683591 - samples/sec: 156.10
2020-05-14 16:05:51,685 epoch 36 - iter 1855/2650 - loss 1.60741360 - samples/sec: 156.13
2020-05-14 16:06:45,042 epoch 36 - iter 2120/2650 - loss 1.61125102 - samples/sec: 159.02
2020-05-14 16:07:39,869 epoch 36 - iter 2385/2650 - loss 1.61176813 - samples/sec: 154.75
2020-05-14 16:08:34,281 epoch 36 - iter 2650/2650 - loss 1.61645401 - samples/sec: 155.94
2020-05-14 16:08:34,295 ----------------------------------------------------------------------------------------------------
2020-05-14 16:08:34,295 EPOCH 36 done: loss 1.6165 - lr 0.1000000
2020-05-14 16:08:34,295 BAD EPOCHS (no improvement): 0
2020-05-14 16:08:34,295 ----------------------------------------------------------------------------------------------------
2020-05-14 16:09:29,026 epoch 37 - iter 265/2650 - loss 1.55489249 - samples/sec: 155.00
2020-05-14 16:10:24,245 epoch 37 - iter 530/2650 - loss 1.57839727 - samples/sec: 153.66
2020-05-14 16:11:17,718 epoch 37 - iter 795/2650 - loss 1.57638643 - samples/sec: 158.68
2020-05-14 16:12:15,246 epoch 37 - iter 1060/2650 - loss 1.58307642 - samples/sec: 147.49
2020-05-14 16:13:10,010 epoch 37 - iter 1325/2650 - loss 1.59416122 - samples/sec: 154.93
2020-05-14 16:14:04,214 epoch 37 - iter 1590/2650 - loss 1.59179945 - samples/sec: 156.53
2020-05-14 16:14:57,418 epoch 37 - iter 1855/2650 - loss 1.59645005 - samples/sec: 159.48
2020-05-14 16:15:59,214 epoch 37 - iter 2120/2650 - loss 1.60053316 - samples/sec: 137.29
2020-05-14 16:16:53,953 epoch 37 - iter 2385/2650 - loss 1.60424019 - samples/sec: 155.00
2020-05-14 16:17:48,783 epoch 37 - iter 2650/2650 - loss 1.61056178 - samples/sec: 154.75
2020-05-14 16:17:48,796 ----------------------------------------------------------------------------------------------------
2020-05-14 16:17:48,796 EPOCH 37 done: loss 1.6106 - lr 0.1000000
2020-05-14 16:17:48,796 BAD EPOCHS (no improvement): 0
2020-05-14 16:17:48,796 ----------------------------------------------------------------------------------------------------
2020-05-14 16:18:42,922 epoch 38 - iter 265/2650 - loss 1.60303409 - samples/sec: 156.74
2020-05-14 16:19:38,434 epoch 38 - iter 530/2650 - loss 1.59459930 - samples/sec: 152.85
2020-05-14 16:20:34,171 epoch 38 - iter 795/2650 - loss 1.59720733 - samples/sec: 152.23
2020-05-14 16:21:28,640 epoch 38 - iter 1060/2650 - loss 1.60368980 - samples/sec: 155.77
2020-05-14 16:22:23,124 epoch 38 - iter 1325/2650 - loss 1.60183605 - samples/sec: 155.73
2020-05-14 16:23:18,438 epoch 38 - iter 1590/2650 - loss 1.61019360 - samples/sec: 153.39
2020-05-14 16:24:12,426 epoch 38 - iter 1855/2650 - loss 1.61117971 - samples/sec: 157.16
2020-05-14 16:25:06,275 epoch 38 - iter 2120/2650 - loss 1.61574678 - samples/sec: 157.57
2020-05-14 16:26:00,440 epoch 38 - iter 2385/2650 - loss 1.61591238 - samples/sec: 156.65
2020-05-14 16:26:56,585 epoch 38 - iter 2650/2650 - loss 1.61781780 - samples/sec: 151.13
2020-05-14 16:26:56,599 ----------------------------------------------------------------------------------------------------
2020-05-14 16:26:56,599 EPOCH 38 done: loss 1.6178 - lr 0.1000000
2020-05-14 16:26:56,599 BAD EPOCHS (no improvement): 1
2020-05-14 16:26:56,599 ----------------------------------------------------------------------------------------------------
2020-05-14 16:27:51,950 epoch 39 - iter 265/2650 - loss 1.57270990 - samples/sec: 153.27
2020-05-14 16:28:45,573 epoch 39 - iter 530/2650 - loss 1.56741257 - samples/sec: 158.23
2020-05-14 16:29:39,505 epoch 39 - iter 795/2650 - loss 1.58439110 - samples/sec: 157.32
2020-05-14 16:30:35,206 epoch 39 - iter 1060/2650 - loss 1.59265016 - samples/sec: 152.33
2020-05-14 16:31:29,668 epoch 39 - iter 1325/2650 - loss 1.59115165 - samples/sec: 155.79
2020-05-14 16:32:24,507 epoch 39 - iter 1590/2650 - loss 1.58698930 - samples/sec: 154.73
2020-05-14 16:33:19,191 epoch 39 - iter 1855/2650 - loss 1.58114097 - samples/sec: 155.17
2020-05-14 16:34:15,598 epoch 39 - iter 2120/2650 - loss 1.58259276 - samples/sec: 150.42
2020-05-14 16:35:13,756 epoch 39 - iter 2385/2650 - loss 1.58970120 - samples/sec: 145.89
2020-05-14 16:36:12,365 epoch 39 - iter 2650/2650 - loss 1.59137833 - samples/sec: 144.77
2020-05-14 16:36:12,379 ----------------------------------------------------------------------------------------------------
2020-05-14 16:36:12,379 EPOCH 39 done: loss 1.5914 - lr 0.1000000
2020-05-14 16:36:12,379 BAD EPOCHS (no improvement): 0
2020-05-14 16:36:12,379 ----------------------------------------------------------------------------------------------------
2020-05-14 16:37:12,885 epoch 40 - iter 265/2650 - loss 1.56066609 - samples/sec: 140.21
2020-05-14 16:38:12,362 epoch 40 - iter 530/2650 - loss 1.58427352 - samples/sec: 142.66
2020-05-14 16:39:08,697 epoch 40 - iter 795/2650 - loss 1.58002655 - samples/sec: 150.62
2020-05-14 16:40:05,755 epoch 40 - iter 1060/2650 - loss 1.57587926 - samples/sec: 148.71
2020-05-14 16:41:02,561 epoch 40 - iter 1325/2650 - loss 1.58118009 - samples/sec: 149.37
2020-05-14 16:41:57,323 epoch 40 - iter 1590/2650 - loss 1.58195848 - samples/sec: 154.95
2020-05-14 16:42:53,565 epoch 40 - iter 1855/2650 - loss 1.58607095 - samples/sec: 150.86
2020-05-14 16:43:52,781 epoch 40 - iter 2120/2650 - loss 1.59166852 - samples/sec: 143.29
2020-05-14 16:44:51,107 epoch 40 - iter 2385/2650 - loss 1.59441787 - samples/sec: 145.47
2020-05-14 16:45:49,283 epoch 40 - iter 2650/2650 - loss 1.60201059 - samples/sec: 145.85
2020-05-14 16:45:49,297 ----------------------------------------------------------------------------------------------------
2020-05-14 16:45:49,297 EPOCH 40 done: loss 1.6020 - lr 0.1000000
2020-05-14 16:45:49,297 BAD EPOCHS (no improvement): 1
2020-05-14 16:45:49,298 ----------------------------------------------------------------------------------------------------
2020-05-14 16:46:46,244 epoch 41 - iter 265/2650 - loss 1.57025029 - samples/sec: 148.97
2020-05-14 16:47:44,060 epoch 41 - iter 530/2650 - loss 1.56019035 - samples/sec: 146.76
2020-05-14 16:48:43,472 epoch 41 - iter 795/2650 - loss 1.57242903 - samples/sec: 142.81
2020-05-14 16:49:40,720 epoch 41 - iter 1060/2650 - loss 1.56433675 - samples/sec: 148.21
2020-05-14 16:50:37,968 epoch 41 - iter 1325/2650 - loss 1.57875754 - samples/sec: 148.21
2020-05-14 16:51:35,850 epoch 41 - iter 1590/2650 - loss 1.58282946 - samples/sec: 146.59
2020-05-14 16:52:31,835 epoch 41 - iter 1855/2650 - loss 1.58084415 - samples/sec: 151.56
2020-05-14 16:53:30,685 epoch 41 - iter 2120/2650 - loss 1.58647696 - samples/sec: 144.17
2020-05-14 16:54:28,017 epoch 41 - iter 2385/2650 - loss 1.58526985 - samples/sec: 148.00
2020-05-14 16:55:26,946 epoch 41 - iter 2650/2650 - loss 1.58725144 - samples/sec: 143.99
2020-05-14 16:55:26,960 ----------------------------------------------------------------------------------------------------
2020-05-14 16:55:26,960 EPOCH 41 done: loss 1.5873 - lr 0.1000000
2020-05-14 16:55:26,960 BAD EPOCHS (no improvement): 0
2020-05-14 16:55:26,960 ----------------------------------------------------------------------------------------------------
2020-05-14 16:56:25,046 epoch 42 - iter 265/2650 - loss 1.62177726 - samples/sec: 146.05
2020-05-14 16:57:23,735 epoch 42 - iter 530/2650 - loss 1.59732863 - samples/sec: 144.57
2020-05-14 16:58:20,468 epoch 42 - iter 795/2650 - loss 1.57907218 - samples/sec: 149.56
2020-05-14 16:59:19,069 epoch 42 - iter 1060/2650 - loss 1.57654981 - samples/sec: 144.79
2020-05-14 17:00:17,401 epoch 42 - iter 1325/2650 - loss 1.57279539 - samples/sec: 145.46
2020-05-14 17:01:15,456 epoch 42 - iter 1590/2650 - loss 1.57705010 - samples/sec: 146.15
2020-05-14 17:02:12,763 epoch 42 - iter 1855/2650 - loss 1.57754467 - samples/sec: 148.06
2020-05-14 17:03:10,935 epoch 42 - iter 2120/2650 - loss 1.58640289 - samples/sec: 145.86
2020-05-14 17:04:08,970 epoch 42 - iter 2385/2650 - loss 1.58798325 - samples/sec: 146.20
2020-05-14 17:05:06,605 epoch 42 - iter 2650/2650 - loss 1.58846961 - samples/sec: 147.22
2020-05-14 17:05:06,619 ----------------------------------------------------------------------------------------------------
2020-05-14 17:05:06,619 EPOCH 42 done: loss 1.5885 - lr 0.1000000
2020-05-14 17:05:06,619 BAD EPOCHS (no improvement): 1
2020-05-14 17:05:06,619 ----------------------------------------------------------------------------------------------------
2020-05-14 17:06:04,783 epoch 43 - iter 265/2650 - loss 1.54630594 - samples/sec: 145.86
2020-05-14 17:07:03,437 epoch 43 - iter 530/2650 - loss 1.54758021 - samples/sec: 144.66
2020-05-14 17:08:01,916 epoch 43 - iter 795/2650 - loss 1.54766153 - samples/sec: 145.10
2020-05-14 17:09:01,479 epoch 43 - iter 1060/2650 - loss 1.56502224 - samples/sec: 142.45
2020-05-14 17:10:00,532 epoch 43 - iter 1325/2650 - loss 1.56393832 - samples/sec: 143.68
2020-05-14 17:11:00,436 epoch 43 - iter 1590/2650 - loss 1.57580172 - samples/sec: 141.64
2020-05-14 17:11:58,154 epoch 43 - iter 1855/2650 - loss 1.57966518 - samples/sec: 147.01
2020-05-14 17:12:56,013 epoch 43 - iter 2120/2650 - loss 1.57666896 - samples/sec: 146.65
2020-05-14 17:13:53,463 epoch 43 - iter 2385/2650 - loss 1.57710825 - samples/sec: 147.69
2020-05-14 17:14:52,530 epoch 43 - iter 2650/2650 - loss 1.58126128 - samples/sec: 143.65
2020-05-14 17:14:52,545 ----------------------------------------------------------------------------------------------------
2020-05-14 17:14:52,545 EPOCH 43 done: loss 1.5813 - lr 0.1000000
2020-05-14 17:14:52,545 BAD EPOCHS (no improvement): 0
2020-05-14 17:14:52,545 ----------------------------------------------------------------------------------------------------
2020-05-14 17:15:51,940 epoch 44 - iter 265/2650 - loss 1.54698390 - samples/sec: 142.83
2020-05-14 17:16:51,075 epoch 44 - iter 530/2650 - loss 1.55549731 - samples/sec: 143.49
2020-05-14 17:17:50,418 epoch 44 - iter 795/2650 - loss 1.56397251 - samples/sec: 142.98
2020-05-14 17:18:47,392 epoch 44 - iter 1060/2650 - loss 1.56828561 - samples/sec: 148.92
2020-05-14 17:19:45,080 epoch 44 - iter 1325/2650 - loss 1.57622609 - samples/sec: 147.08
2020-05-14 17:20:42,253 epoch 44 - iter 1590/2650 - loss 1.57347658 - samples/sec: 148.41
2020-05-14 17:21:39,266 epoch 44 - iter 1855/2650 - loss 1.58091994 - samples/sec: 148.83
2020-05-14 17:22:37,224 epoch 44 - iter 2120/2650 - loss 1.58393963 - samples/sec: 146.39
2020-05-14 17:23:34,004 epoch 44 - iter 2385/2650 - loss 1.58492775 - samples/sec: 149.44
2020-05-14 17:24:30,656 epoch 44 - iter 2650/2650 - loss 1.58179325 - samples/sec: 149.78
2020-05-14 17:24:30,670 ----------------------------------------------------------------------------------------------------
2020-05-14 17:24:30,670 EPOCH 44 done: loss 1.5818 - lr 0.1000000
2020-05-14 17:24:30,670 BAD EPOCHS (no improvement): 1
2020-05-14 17:24:30,670 ----------------------------------------------------------------------------------------------------
2020-05-14 17:25:27,106 epoch 45 - iter 265/2650 - loss 1.58236848 - samples/sec: 150.32
2020-05-14 17:26:23,273 epoch 45 - iter 530/2650 - loss 1.59887044 - samples/sec: 151.07
2020-05-14 17:27:20,200 epoch 45 - iter 795/2650 - loss 1.58263527 - samples/sec: 149.05
2020-05-14 17:28:15,987 epoch 45 - iter 1060/2650 - loss 1.57801430 - samples/sec: 152.09
2020-05-14 17:29:13,668 epoch 45 - iter 1325/2650 - loss 1.58002208 - samples/sec: 147.10
2020-05-14 17:30:10,040 epoch 45 - iter 1590/2650 - loss 1.58653484 - samples/sec: 150.51
2020-05-14 17:31:07,368 epoch 45 - iter 1855/2650 - loss 1.58618871 - samples/sec: 148.01
2020-05-14 17:32:04,410 epoch 45 - iter 2120/2650 - loss 1.58741851 - samples/sec: 148.75
2020-05-14 17:33:00,173 epoch 45 - iter 2385/2650 - loss 1.58339382 - samples/sec: 152.16
2020-05-14 17:33:56,648 epoch 45 - iter 2650/2650 - loss 1.58664475 - samples/sec: 150.24
2020-05-14 17:33:56,661 ----------------------------------------------------------------------------------------------------
2020-05-14 17:33:56,661 EPOCH 45 done: loss 1.5866 - lr 0.1000000
2020-05-14 17:33:56,661 BAD EPOCHS (no improvement): 2
2020-05-14 17:33:56,661 ----------------------------------------------------------------------------------------------------
2020-05-14 17:34:54,141 epoch 46 - iter 265/2650 - loss 1.56640592 - samples/sec: 147.59
2020-05-14 17:35:50,576 epoch 46 - iter 530/2650 - loss 1.56296603 - samples/sec: 150.35
2020-05-14 17:36:47,092 epoch 46 - iter 795/2650 - loss 1.58890918 - samples/sec: 150.13
2020-05-14 17:37:43,134 epoch 46 - iter 1060/2650 - loss 1.58304830 - samples/sec: 151.41
2020-05-14 17:38:39,689 epoch 46 - iter 1325/2650 - loss 1.58538622 - samples/sec: 150.03
2020-05-14 17:39:35,758 epoch 46 - iter 1590/2650 - loss 1.58734875 - samples/sec: 151.33
2020-05-14 17:40:31,302 epoch 46 - iter 1855/2650 - loss 1.58544269 - samples/sec: 152.76
2020-05-14 17:41:28,179 epoch 46 - iter 2120/2650 - loss 1.58608164 - samples/sec: 149.18
2020-05-14 17:42:24,320 epoch 46 - iter 2385/2650 - loss 1.58543919 - samples/sec: 151.14
2020-05-14 17:43:19,718 epoch 46 - iter 2650/2650 - loss 1.58416738 - samples/sec: 153.17
2020-05-14 17:43:19,732 ----------------------------------------------------------------------------------------------------
2020-05-14 17:43:19,732 EPOCH 46 done: loss 1.5842 - lr 0.1000000
2020-05-14 17:43:19,732 BAD EPOCHS (no improvement): 3
2020-05-14 17:43:19,732 ----------------------------------------------------------------------------------------------------
2020-05-14 17:44:16,596 epoch 47 - iter 265/2650 - loss 1.52605204 - samples/sec: 149.19
2020-05-14 17:45:12,096 epoch 47 - iter 530/2650 - loss 1.54137763 - samples/sec: 152.88
2020-05-14 17:46:08,689 epoch 47 - iter 795/2650 - loss 1.54659897 - samples/sec: 149.93
2020-05-14 17:47:04,473 epoch 47 - iter 1060/2650 - loss 1.54640187 - samples/sec: 152.10
2020-05-14 17:47:59,930 epoch 47 - iter 1325/2650 - loss 1.54741001 - samples/sec: 153.00
2020-05-14 17:48:56,058 epoch 47 - iter 1590/2650 - loss 1.56019017 - samples/sec: 151.17
2020-05-14 17:49:52,119 epoch 47 - iter 1855/2650 - loss 1.56324566 - samples/sec: 151.35
2020-05-14 17:50:49,176 epoch 47 - iter 2120/2650 - loss 1.56580261 - samples/sec: 148.71
2020-05-14 17:51:44,973 epoch 47 - iter 2385/2650 - loss 1.56895104 - samples/sec: 152.07
2020-05-14 17:52:41,798 epoch 47 - iter 2650/2650 - loss 1.57379298 - samples/sec: 149.32
2020-05-14 17:52:41,811 ----------------------------------------------------------------------------------------------------
2020-05-14 17:52:41,811 EPOCH 47 done: loss 1.5738 - lr 0.1000000
2020-05-14 17:52:41,811 BAD EPOCHS (no improvement): 0
2020-05-14 17:52:41,812 ----------------------------------------------------------------------------------------------------
2020-05-14 17:53:37,664 epoch 48 - iter 265/2650 - loss 1.56983050 - samples/sec: 151.89
2020-05-14 17:54:32,829 epoch 48 - iter 530/2650 - loss 1.54575836 - samples/sec: 153.81
2020-05-14 17:55:29,950 epoch 48 - iter 795/2650 - loss 1.54644668 - samples/sec: 148.54
2020-05-14 17:56:27,135 epoch 48 - iter 1060/2650 - loss 1.55393481 - samples/sec: 148.37
2020-05-14 17:57:22,773 epoch 48 - iter 1325/2650 - loss 1.55650315 - samples/sec: 152.50
2020-05-14 17:58:18,065 epoch 48 - iter 1590/2650 - loss 1.56114336 - samples/sec: 153.46
2020-05-14 17:59:12,431 epoch 48 - iter 1855/2650 - loss 1.56613852 - samples/sec: 156.07
2020-05-14 18:00:08,317 epoch 48 - iter 2120/2650 - loss 1.57310113 - samples/sec: 151.83
2020-05-14 18:01:04,751 epoch 48 - iter 2385/2650 - loss 1.57214817 - samples/sec: 150.35
2020-05-14 18:02:01,254 epoch 48 - iter 2650/2650 - loss 1.57567670 - samples/sec: 150.17
2020-05-14 18:02:01,267 ----------------------------------------------------------------------------------------------------
2020-05-14 18:02:01,267 EPOCH 48 done: loss 1.5757 - lr 0.1000000
2020-05-14 18:02:01,268 BAD EPOCHS (no improvement): 1
2020-05-14 18:02:01,268 ----------------------------------------------------------------------------------------------------
2020-05-14 18:02:58,290 epoch 49 - iter 265/2650 - loss 1.55028042 - samples/sec: 148.78
2020-05-14 18:03:54,153 epoch 49 - iter 530/2650 - loss 1.55838324 - samples/sec: 151.89
2020-05-14 18:04:50,000 epoch 49 - iter 795/2650 - loss 1.54890384 - samples/sec: 151.93
2020-05-14 18:05:45,554 epoch 49 - iter 1060/2650 - loss 1.54711260 - samples/sec: 152.73
2020-05-14 18:06:40,849 epoch 49 - iter 1325/2650 - loss 1.55227592 - samples/sec: 153.45
2020-05-14 18:07:36,924 epoch 49 - iter 1590/2650 - loss 1.55741993 - samples/sec: 151.31
2020-05-14 18:08:32,789 epoch 49 - iter 1855/2650 - loss 1.55487831 - samples/sec: 151.88
2020-05-14 18:09:28,224 epoch 49 - iter 2120/2650 - loss 1.55893075 - samples/sec: 153.06
2020-05-14 18:10:23,396 epoch 49 - iter 2385/2650 - loss 1.56150182 - samples/sec: 153.79
2020-05-14 18:11:19,194 epoch 49 - iter 2650/2650 - loss 1.56406817 - samples/sec: 152.06
2020-05-14 18:11:19,208 ----------------------------------------------------------------------------------------------------
2020-05-14 18:11:19,208 EPOCH 49 done: loss 1.5641 - lr 0.1000000
2020-05-14 18:11:19,208 BAD EPOCHS (no improvement): 0
2020-05-14 18:11:19,208 ----------------------------------------------------------------------------------------------------
2020-05-14 18:12:16,758 epoch 50 - iter 265/2650 - loss 1.58989092 - samples/sec: 147.41
2020-05-14 18:13:12,413 epoch 50 - iter 530/2650 - loss 1.56113440 - samples/sec: 152.45
2020-05-14 18:14:07,628 epoch 50 - iter 795/2650 - loss 1.56167664 - samples/sec: 153.67
2020-05-14 18:15:02,226 epoch 50 - iter 1060/2650 - loss 1.55904280 - samples/sec: 155.41
2020-05-14 18:15:55,302 epoch 50 - iter 1325/2650 - loss 1.55536616 - samples/sec: 159.86
2020-05-14 18:16:50,723 epoch 50 - iter 1590/2650 - loss 1.55810803 - samples/sec: 153.10
2020-05-14 18:17:45,811 epoch 50 - iter 1855/2650 - loss 1.55572559 - samples/sec: 154.02
2020-05-14 18:18:39,374 epoch 50 - iter 2120/2650 - loss 1.55136047 - samples/sec: 158.41
2020-05-14 18:19:33,923 epoch 50 - iter 2385/2650 - loss 1.55671874 - samples/sec: 155.54
2020-05-14 18:20:28,863 epoch 50 - iter 2650/2650 - loss 1.56471870 - samples/sec: 154.44
2020-05-14 18:20:28,876 ----------------------------------------------------------------------------------------------------
2020-05-14 18:20:28,877 EPOCH 50 done: loss 1.5647 - lr 0.1000000
2020-05-14 18:20:28,877 BAD EPOCHS (no improvement): 1
2020-05-14 18:20:28,877 ----------------------------------------------------------------------------------------------------
2020-05-14 18:21:23,754 epoch 51 - iter 265/2650 - loss 1.50128205 - samples/sec: 154.59
2020-05-14 18:22:18,701 epoch 51 - iter 530/2650 - loss 1.52224574 - samples/sec: 154.42
2020-05-14 18:23:13,668 epoch 51 - iter 795/2650 - loss 1.54313119 - samples/sec: 154.36
2020-05-14 18:24:06,819 epoch 51 - iter 1060/2650 - loss 1.54486208 - samples/sec: 159.64
2020-05-14 18:25:02,025 epoch 51 - iter 1325/2650 - loss 1.55230005 - samples/sec: 153.69
2020-05-14 18:25:56,219 epoch 51 - iter 1590/2650 - loss 1.55409784 - samples/sec: 156.56
2020-05-14 18:26:51,175 epoch 51 - iter 1855/2650 - loss 1.55124190 - samples/sec: 154.39
2020-05-14 18:27:47,299 epoch 51 - iter 2120/2650 - loss 1.55042794 - samples/sec: 151.18
2020-05-14 18:28:40,735 epoch 51 - iter 2385/2650 - loss 1.55207601 - samples/sec: 158.78
2020-05-14 18:29:34,152 epoch 51 - iter 2650/2650 - loss 1.55548063 - samples/sec: 158.84
2020-05-14 18:29:34,165 ----------------------------------------------------------------------------------------------------
2020-05-14 18:29:34,165 EPOCH 51 done: loss 1.5555 - lr 0.1000000
2020-05-14 18:29:34,166 BAD EPOCHS (no improvement): 0
2020-05-14 18:29:34,166 ----------------------------------------------------------------------------------------------------
2020-05-14 18:30:28,834 epoch 52 - iter 265/2650 - loss 1.52889631 - samples/sec: 155.18
2020-05-14 18:31:23,664 epoch 52 - iter 530/2650 - loss 1.56218726 - samples/sec: 154.74
2020-05-14 18:32:18,656 epoch 52 - iter 795/2650 - loss 1.56085431 - samples/sec: 154.29
2020-05-14 18:33:11,146 epoch 52 - iter 1060/2650 - loss 1.55602586 - samples/sec: 161.65
2020-05-14 18:34:04,718 epoch 52 - iter 1325/2650 - loss 1.55876771 - samples/sec: 158.38
2020-05-14 18:34:57,815 epoch 52 - iter 1590/2650 - loss 1.55742906 - samples/sec: 159.80
2020-05-14 18:35:51,997 epoch 52 - iter 1855/2650 - loss 1.56306915 - samples/sec: 156.60
2020-05-14 18:36:46,014 epoch 52 - iter 2120/2650 - loss 1.56027554 - samples/sec: 157.07
2020-05-14 18:37:40,802 epoch 52 - iter 2385/2650 - loss 1.56166551 - samples/sec: 154.86
2020-05-14 18:38:36,811 epoch 52 - iter 2650/2650 - loss 1.56217467 - samples/sec: 151.49
2020-05-14 18:38:36,824 ----------------------------------------------------------------------------------------------------
2020-05-14 18:38:36,824 EPOCH 52 done: loss 1.5622 - lr 0.1000000
2020-05-14 18:38:36,824 BAD EPOCHS (no improvement): 1
2020-05-14 18:38:36,825 ----------------------------------------------------------------------------------------------------
2020-05-14 18:39:30,483 epoch 53 - iter 265/2650 - loss 1.48226970 - samples/sec: 158.10
2020-05-14 18:40:25,780 epoch 53 - iter 530/2650 - loss 1.47874269 - samples/sec: 153.44
2020-05-14 18:41:19,303 epoch 53 - iter 795/2650 - loss 1.48732584 - samples/sec: 158.53
2020-05-14 18:42:14,191 epoch 53 - iter 1060/2650 - loss 1.50330471 - samples/sec: 154.58
2020-05-14 18:43:08,323 epoch 53 - iter 1325/2650 - loss 1.52041579 - samples/sec: 156.74
2020-05-14 18:44:02,562 epoch 53 - iter 1590/2650 - loss 1.52800809 - samples/sec: 156.43
2020-05-14 18:44:56,281 epoch 53 - iter 1855/2650 - loss 1.52976575 - samples/sec: 157.95
2020-05-14 18:45:49,279 epoch 53 - iter 2120/2650 - loss 1.52896131 - samples/sec: 160.10
2020-05-14 18:46:42,514 epoch 53 - iter 2385/2650 - loss 1.53446146 - samples/sec: 159.38
2020-05-14 18:47:36,517 epoch 53 - iter 2650/2650 - loss 1.54497116 - samples/sec: 157.12
2020-05-14 18:47:36,531 ----------------------------------------------------------------------------------------------------
2020-05-14 18:47:36,531 EPOCH 53 done: loss 1.5450 - lr 0.1000000
2020-05-14 18:47:36,531 BAD EPOCHS (no improvement): 0
2020-05-14 18:47:36,531 ----------------------------------------------------------------------------------------------------
2020-05-14 18:48:29,532 epoch 54 - iter 265/2650 - loss 1.50506794 - samples/sec: 160.06
2020-05-14 18:49:24,470 epoch 54 - iter 530/2650 - loss 1.54227356 - samples/sec: 154.44
2020-05-14 18:50:18,705 epoch 54 - iter 795/2650 - loss 1.51974916 - samples/sec: 156.44
2020-05-14 18:51:13,699 epoch 54 - iter 1060/2650 - loss 1.53394680 - samples/sec: 154.28
2020-05-14 18:52:08,191 epoch 54 - iter 1325/2650 - loss 1.53267677 - samples/sec: 155.71
2020-05-14 18:53:01,268 epoch 54 - iter 1590/2650 - loss 1.52770740 - samples/sec: 159.86
2020-05-14 18:53:55,222 epoch 54 - iter 1855/2650 - loss 1.53221356 - samples/sec: 157.26
2020-05-14 18:54:49,427 epoch 54 - iter 2120/2650 - loss 1.53391259 - samples/sec: 156.53
2020-05-14 18:55:44,362 epoch 54 - iter 2385/2650 - loss 1.54162290 - samples/sec: 154.45
2020-05-14 18:56:38,575 epoch 54 - iter 2650/2650 - loss 1.54385475 - samples/sec: 156.51
2020-05-14 18:56:38,588 ----------------------------------------------------------------------------------------------------
2020-05-14 18:56:38,588 EPOCH 54 done: loss 1.5439 - lr 0.1000000
2020-05-14 18:56:38,588 BAD EPOCHS (no improvement): 0
2020-05-14 18:56:38,588 ----------------------------------------------------------------------------------------------------
2020-05-14 18:57:32,711 epoch 55 - iter 265/2650 - loss 1.50973456 - samples/sec: 156.74
2020-05-14 18:58:25,701 epoch 55 - iter 530/2650 - loss 1.50742420 - samples/sec: 160.12
2020-05-14 18:59:19,364 epoch 55 - iter 795/2650 - loss 1.51394444 - samples/sec: 158.11
2020-05-14 19:00:14,620 epoch 55 - iter 1060/2650 - loss 1.51472170 - samples/sec: 153.55
2020-05-14 19:01:07,981 epoch 55 - iter 1325/2650 - loss 1.52067104 - samples/sec: 159.01
2020-05-14 19:02:02,206 epoch 55 - iter 1590/2650 - loss 1.53274248 - samples/sec: 156.47
2020-05-14 19:02:57,074 epoch 55 - iter 1855/2650 - loss 1.53859800 - samples/sec: 154.64
2020-05-14 19:03:50,654 epoch 55 - iter 2120/2650 - loss 1.54404222 - samples/sec: 158.36
2020-05-14 19:04:45,963 epoch 55 - iter 2385/2650 - loss 1.55127500 - samples/sec: 153.40
2020-05-14 19:05:41,431 epoch 55 - iter 2650/2650 - loss 1.55267327 - samples/sec: 152.97
2020-05-14 19:05:41,444 ----------------------------------------------------------------------------------------------------
2020-05-14 19:05:41,444 EPOCH 55 done: loss 1.5527 - lr 0.1000000
2020-05-14 19:05:41,444 BAD EPOCHS (no improvement): 1
2020-05-14 19:05:41,444 ----------------------------------------------------------------------------------------------------
2020-05-14 19:06:36,910 epoch 56 - iter 265/2650 - loss 1.57387573 - samples/sec: 152.95
2020-05-14 19:07:30,904 epoch 56 - iter 530/2650 - loss 1.57039120 - samples/sec: 157.15
2020-05-14 19:08:25,459 epoch 56 - iter 795/2650 - loss 1.55333814 - samples/sec: 155.53
2020-05-14 19:09:20,006 epoch 56 - iter 1060/2650 - loss 1.54066582 - samples/sec: 155.55
2020-05-14 19:10:13,907 epoch 56 - iter 1325/2650 - loss 1.53178625 - samples/sec: 157.41
2020-05-14 19:11:08,437 epoch 56 - iter 1590/2650 - loss 1.54788093 - samples/sec: 155.60
2020-05-14 19:12:00,876 epoch 56 - iter 1855/2650 - loss 1.54158560 - samples/sec: 161.80
2020-05-14 19:12:55,651 epoch 56 - iter 2120/2650 - loss 1.54071369 - samples/sec: 154.90
2020-05-14 19:13:50,163 epoch 56 - iter 2385/2650 - loss 1.54459797 - samples/sec: 155.65
2020-05-14 19:14:44,651 epoch 56 - iter 2650/2650 - loss 1.55002891 - samples/sec: 155.72
2020-05-14 19:14:44,665 ----------------------------------------------------------------------------------------------------
2020-05-14 19:14:44,665 EPOCH 56 done: loss 1.5500 - lr 0.1000000
2020-05-14 19:14:44,665 BAD EPOCHS (no improvement): 2
2020-05-14 19:14:44,665 ----------------------------------------------------------------------------------------------------
2020-05-14 19:15:40,041 epoch 57 - iter 265/2650 - loss 1.51036334 - samples/sec: 153.20
2020-05-14 19:16:35,003 epoch 57 - iter 530/2650 - loss 1.51076301 - samples/sec: 154.37
2020-05-14 19:17:27,836 epoch 57 - iter 795/2650 - loss 1.51303542 - samples/sec: 160.60
2020-05-14 19:18:22,786 epoch 57 - iter 1060/2650 - loss 1.51305826 - samples/sec: 154.41
2020-05-14 19:19:16,228 epoch 57 - iter 1325/2650 - loss 1.51486220 - samples/sec: 158.77
2020-05-14 19:20:10,361 epoch 57 - iter 1590/2650 - loss 1.52705702 - samples/sec: 156.74
2020-05-14 19:21:03,255 epoch 57 - iter 1855/2650 - loss 1.53358589 - samples/sec: 160.41
2020-05-14 19:21:57,786 epoch 57 - iter 2120/2650 - loss 1.53245905 - samples/sec: 155.59
2020-05-14 19:22:51,936 epoch 57 - iter 2385/2650 - loss 1.53835562 - samples/sec: 156.69
2020-05-14 19:23:46,584 epoch 57 - iter 2650/2650 - loss 1.54274579 - samples/sec: 155.26
2020-05-14 19:23:46,597 ----------------------------------------------------------------------------------------------------
2020-05-14 19:23:46,597 EPOCH 57 done: loss 1.5427 - lr 0.1000000
2020-05-14 19:23:46,597 BAD EPOCHS (no improvement): 0
2020-05-14 19:23:46,597 ----------------------------------------------------------------------------------------------------
2020-05-14 19:24:40,529 epoch 58 - iter 265/2650 - loss 1.59599745 - samples/sec: 157.30
2020-05-14 19:25:33,615 epoch 58 - iter 530/2650 - loss 1.56416015 - samples/sec: 159.83
2020-05-14 19:26:28,511 epoch 58 - iter 795/2650 - loss 1.55098490 - samples/sec: 154.56
2020-05-14 19:27:21,853 epoch 58 - iter 1060/2650 - loss 1.55151656 - samples/sec: 159.06
2020-05-14 19:28:15,496 epoch 58 - iter 1325/2650 - loss 1.54517249 - samples/sec: 158.17
2020-05-14 19:29:10,098 epoch 58 - iter 1590/2650 - loss 1.54510362 - samples/sec: 155.39
2020-05-14 19:30:04,146 epoch 58 - iter 1855/2650 - loss 1.54419951 - samples/sec: 156.99
2020-05-14 19:30:59,284 epoch 58 - iter 2120/2650 - loss 1.54860768 - samples/sec: 153.88
2020-05-14 19:31:53,409 epoch 58 - iter 2385/2650 - loss 1.54931464 - samples/sec: 156.76
2020-05-14 19:32:47,423 epoch 58 - iter 2650/2650 - loss 1.54920165 - samples/sec: 157.09
2020-05-14 19:32:47,436 ----------------------------------------------------------------------------------------------------
2020-05-14 19:32:47,437 EPOCH 58 done: loss 1.5492 - lr 0.1000000
2020-05-14 19:32:47,437 BAD EPOCHS (no improvement): 1
2020-05-14 19:32:47,437 ----------------------------------------------------------------------------------------------------
2020-05-14 19:33:41,033 epoch 59 - iter 265/2650 - loss 1.52753803 - samples/sec: 158.28
2020-05-14 19:34:34,964 epoch 59 - iter 530/2650 - loss 1.53269951 - samples/sec: 157.32
2020-05-14 19:35:28,884 epoch 59 - iter 795/2650 - loss 1.53557811 - samples/sec: 157.36
2020-05-14 19:36:23,833 epoch 59 - iter 1060/2650 - loss 1.53372081 - samples/sec: 154.41
2020-05-14 19:37:18,759 epoch 59 - iter 1325/2650 - loss 1.53637373 - samples/sec: 154.47
2020-05-14 19:38:12,771 epoch 59 - iter 1590/2650 - loss 1.54691270 - samples/sec: 157.09
2020-05-14 19:39:07,379 epoch 59 - iter 1855/2650 - loss 1.54164512 - samples/sec: 155.37
2020-05-14 19:40:01,517 epoch 59 - iter 2120/2650 - loss 1.53844059 - samples/sec: 156.73
2020-05-14 19:40:54,930 epoch 59 - iter 2385/2650 - loss 1.54194568 - samples/sec: 158.85
2020-05-14 19:41:48,824 epoch 59 - iter 2650/2650 - loss 1.54424831 - samples/sec: 157.44
2020-05-14 19:41:48,837 ----------------------------------------------------------------------------------------------------
2020-05-14 19:41:48,837 EPOCH 59 done: loss 1.5442 - lr 0.1000000
2020-05-14 19:41:48,837 BAD EPOCHS (no improvement): 2
2020-05-14 19:41:48,837 ----------------------------------------------------------------------------------------------------
2020-05-14 19:42:42,201 epoch 60 - iter 265/2650 - loss 1.50563134 - samples/sec: 158.97
2020-05-14 19:43:36,723 epoch 60 - iter 530/2650 - loss 1.50984398 - samples/sec: 155.62
2020-05-14 19:44:32,267 epoch 60 - iter 795/2650 - loss 1.52065506 - samples/sec: 152.75
2020-05-14 19:45:25,657 epoch 60 - iter 1060/2650 - loss 1.52929952 - samples/sec: 158.92
2020-05-14 19:46:18,592 epoch 60 - iter 1325/2650 - loss 1.51553769 - samples/sec: 160.29
2020-05-14 19:47:13,656 epoch 60 - iter 1590/2650 - loss 1.53080622 - samples/sec: 154.09
2020-05-14 19:48:08,263 epoch 60 - iter 1855/2650 - loss 1.53422870 - samples/sec: 155.38
2020-05-14 19:49:02,264 epoch 60 - iter 2120/2650 - loss 1.53623924 - samples/sec: 157.12
2020-05-14 19:49:56,425 epoch 60 - iter 2385/2650 - loss 1.53986981 - samples/sec: 156.66
2020-05-14 19:50:50,069 epoch 60 - iter 2650/2650 - loss 1.54161083 - samples/sec: 158.17
2020-05-14 19:50:50,082 ----------------------------------------------------------------------------------------------------
2020-05-14 19:50:50,082 EPOCH 60 done: loss 1.5416 - lr 0.1000000
2020-05-14 19:50:50,082 BAD EPOCHS (no improvement): 0
2020-05-14 19:50:50,082 ----------------------------------------------------------------------------------------------------
2020-05-14 19:51:43,164 epoch 61 - iter 265/2650 - loss 1.52003989 - samples/sec: 159.82
2020-05-14 19:52:37,294 epoch 61 - iter 530/2650 - loss 1.53621623 - samples/sec: 156.75
2020-05-14 19:53:30,716 epoch 61 - iter 795/2650 - loss 1.52750496 - samples/sec: 158.82
2020-05-14 19:54:24,284 epoch 61 - iter 1060/2650 - loss 1.52929147 - samples/sec: 158.39
2020-05-14 19:55:18,332 epoch 61 - iter 1325/2650 - loss 1.53278690 - samples/sec: 156.98
2020-05-14 19:56:11,856 epoch 61 - iter 1590/2650 - loss 1.53643945 - samples/sec: 158.52
2020-05-14 19:57:05,966 epoch 61 - iter 1855/2650 - loss 1.53889764 - samples/sec: 156.80
2020-05-14 19:57:59,829 epoch 61 - iter 2120/2650 - loss 1.53721310 - samples/sec: 157.52
2020-05-14 19:58:54,379 epoch 61 - iter 2385/2650 - loss 1.54065569 - samples/sec: 155.54
2020-05-14 19:59:48,958 epoch 61 - iter 2650/2650 - loss 1.53907018 - samples/sec: 155.46
2020-05-14 19:59:48,971 ----------------------------------------------------------------------------------------------------
2020-05-14 19:59:48,971 EPOCH 61 done: loss 1.5391 - lr 0.1000000
2020-05-14 19:59:48,971 BAD EPOCHS (no improvement): 0
2020-05-14 19:59:48,972 ----------------------------------------------------------------------------------------------------
2020-05-14 20:00:42,611 epoch 62 - iter 265/2650 - loss 1.49651574 - samples/sec: 158.16
2020-05-14 20:01:35,726 epoch 62 - iter 530/2650 - loss 1.48943633 - samples/sec: 159.74
2020-05-14 20:02:30,053 epoch 62 - iter 795/2650 - loss 1.50389859 - samples/sec: 156.18
2020-05-14 20:03:24,645 epoch 62 - iter 1060/2650 - loss 1.51815434 - samples/sec: 155.42
2020-05-14 20:04:18,940 epoch 62 - iter 1325/2650 - loss 1.52310284 - samples/sec: 156.27
2020-05-14 20:05:13,722 epoch 62 - iter 1590/2650 - loss 1.52165013 - samples/sec: 154.88
2020-05-14 20:06:07,808 epoch 62 - iter 1855/2650 - loss 1.52776936 - samples/sec: 156.87
2020-05-14 20:07:02,011 epoch 62 - iter 2120/2650 - loss 1.52853043 - samples/sec: 156.54
2020-05-14 20:07:56,782 epoch 62 - iter 2385/2650 - loss 1.52949406 - samples/sec: 154.91
2020-05-14 20:08:51,272 epoch 62 - iter 2650/2650 - loss 1.52838914 - samples/sec: 155.72
2020-05-14 20:08:51,285 ----------------------------------------------------------------------------------------------------
2020-05-14 20:08:51,285 EPOCH 62 done: loss 1.5284 - lr 0.1000000
2020-05-14 20:08:51,285 BAD EPOCHS (no improvement): 0
2020-05-14 20:08:51,286 ----------------------------------------------------------------------------------------------------
2020-05-14 20:09:44,656 epoch 63 - iter 265/2650 - loss 1.53783498 - samples/sec: 158.95
2020-05-14 20:10:38,094 epoch 63 - iter 530/2650 - loss 1.52239673 - samples/sec: 158.78
2020-05-14 20:11:33,276 epoch 63 - iter 795/2650 - loss 1.52387010 - samples/sec: 153.76
2020-05-14 20:12:26,226 epoch 63 - iter 1060/2650 - loss 1.52508882 - samples/sec: 160.24
2020-05-14 20:13:20,318 epoch 63 - iter 1325/2650 - loss 1.52412077 - samples/sec: 156.86
2020-05-14 20:14:14,502 epoch 63 - iter 1590/2650 - loss 1.52442790 - samples/sec: 156.59
2020-05-14 20:15:08,128 epoch 63 - iter 1855/2650 - loss 1.52222795 - samples/sec: 158.22
2020-05-14 20:16:03,137 epoch 63 - iter 2120/2650 - loss 1.52332009 - samples/sec: 154.24
2020-05-14 20:16:57,746 epoch 63 - iter 2385/2650 - loss 1.52635773 - samples/sec: 155.37
2020-05-14 20:17:51,704 epoch 63 - iter 2650/2650 - loss 1.53010742 - samples/sec: 157.25
2020-05-14 20:17:51,717 ----------------------------------------------------------------------------------------------------
2020-05-14 20:17:51,717 EPOCH 63 done: loss 1.5301 - lr 0.1000000
2020-05-14 20:17:51,717 BAD EPOCHS (no improvement): 1
2020-05-14 20:17:51,717 ----------------------------------------------------------------------------------------------------
2020-05-14 20:18:44,917 epoch 64 - iter 265/2650 - loss 1.50796664 - samples/sec: 159.46
2020-05-14 20:19:39,176 epoch 64 - iter 530/2650 - loss 1.53337641 - samples/sec: 156.37
2020-05-14 20:20:34,415 epoch 64 - iter 795/2650 - loss 1.53729656 - samples/sec: 153.60
2020-05-14 20:21:26,750 epoch 64 - iter 1060/2650 - loss 1.52873315 - samples/sec: 162.13
2020-05-14 20:22:21,073 epoch 64 - iter 1325/2650 - loss 1.52290349 - samples/sec: 156.19
2020-05-14 20:23:14,571 epoch 64 - iter 1590/2650 - loss 1.52183623 - samples/sec: 158.60
2020-05-14 20:24:09,799 epoch 64 - iter 1855/2650 - loss 1.52389621 - samples/sec: 153.63
2020-05-14 20:25:02,436 epoch 64 - iter 2120/2650 - loss 1.52237767 - samples/sec: 161.20
2020-05-14 20:25:57,589 epoch 64 - iter 2385/2650 - loss 1.52346832 - samples/sec: 153.84
2020-05-14 20:26:53,467 epoch 64 - iter 2650/2650 - loss 1.53049461 - samples/sec: 151.84
2020-05-14 20:26:53,480 ----------------------------------------------------------------------------------------------------
2020-05-14 20:26:53,480 EPOCH 64 done: loss 1.5305 - lr 0.1000000
2020-05-14 20:26:53,480 BAD EPOCHS (no improvement): 2
2020-05-14 20:26:53,480 ----------------------------------------------------------------------------------------------------
2020-05-14 20:27:47,734 epoch 65 - iter 265/2650 - loss 1.48197409 - samples/sec: 156.36
2020-05-14 20:28:42,538 epoch 65 - iter 530/2650 - loss 1.51521658 - samples/sec: 154.82
2020-05-14 20:29:36,784 epoch 65 - iter 795/2650 - loss 1.51852497 - samples/sec: 156.41
2020-05-14 20:30:31,853 epoch 65 - iter 1060/2650 - loss 1.52229662 - samples/sec: 154.07
2020-05-14 20:31:25,574 epoch 65 - iter 1325/2650 - loss 1.52955900 - samples/sec: 157.94
2020-05-14 20:32:19,312 epoch 65 - iter 1590/2650 - loss 1.53797894 - samples/sec: 157.89
2020-05-14 20:33:12,353 epoch 65 - iter 1855/2650 - loss 1.53817589 - samples/sec: 159.97
2020-05-14 20:34:07,160 epoch 65 - iter 2120/2650 - loss 1.53956979 - samples/sec: 154.81
2020-05-14 20:34:59,933 epoch 65 - iter 2385/2650 - loss 1.54193292 - samples/sec: 160.78
2020-05-14 20:35:54,617 epoch 65 - iter 2650/2650 - loss 1.53658283 - samples/sec: 155.16
2020-05-14 20:35:54,630 ----------------------------------------------------------------------------------------------------
2020-05-14 20:35:54,630 EPOCH 65 done: loss 1.5366 - lr 0.1000000
2020-05-14 20:35:54,630 BAD EPOCHS (no improvement): 3
2020-05-14 20:35:54,630 ----------------------------------------------------------------------------------------------------
2020-05-14 20:36:57,001 epoch 66 - iter 265/2650 - loss 1.49602135 - samples/sec: 136.01
2020-05-14 20:37:50,801 epoch 66 - iter 530/2650 - loss 1.52147611 - samples/sec: 157.71
2020-05-14 20:38:44,737 epoch 66 - iter 795/2650 - loss 1.53003357 - samples/sec: 157.31
2020-05-14 20:39:38,376 epoch 66 - iter 1060/2650 - loss 1.52752004 - samples/sec: 158.18
2020-05-14 20:40:32,932 epoch 66 - iter 1325/2650 - loss 1.53138168 - samples/sec: 155.53
2020-05-14 20:41:27,306 epoch 66 - iter 1590/2650 - loss 1.53024734 - samples/sec: 156.04
2020-05-14 20:42:20,295 epoch 66 - iter 1855/2650 - loss 1.52630292 - samples/sec: 160.12
2020-05-14 20:43:14,181 epoch 66 - iter 2120/2650 - loss 1.52930335 - samples/sec: 157.45
2020-05-14 20:44:08,155 epoch 66 - iter 2385/2650 - loss 1.53471787 - samples/sec: 157.20
2020-05-14 20:45:02,055 epoch 66 - iter 2650/2650 - loss 1.53495188 - samples/sec: 157.42
2020-05-14 20:45:02,068 ----------------------------------------------------------------------------------------------------
2020-05-14 20:45:02,068 EPOCH 66 done: loss 1.5350 - lr 0.1000000
2020-05-14 20:45:02,068 BAD EPOCHS (no improvement): 4
2020-05-14 20:45:02,068 ----------------------------------------------------------------------------------------------------
2020-05-14 20:45:56,367 epoch 67 - iter 265/2650 - loss 1.49709835 - samples/sec: 156.23
2020-05-14 20:46:50,947 epoch 67 - iter 530/2650 - loss 1.48089535 - samples/sec: 155.46
2020-05-14 20:47:44,525 epoch 67 - iter 795/2650 - loss 1.47447823 - samples/sec: 158.36
2020-05-14 20:48:39,341 epoch 67 - iter 1060/2650 - loss 1.46849698 - samples/sec: 154.78
2020-05-14 20:49:32,684 epoch 67 - iter 1325/2650 - loss 1.46984360 - samples/sec: 159.06
2020-05-14 20:50:26,535 epoch 67 - iter 1590/2650 - loss 1.46461495 - samples/sec: 157.56
2020-05-14 20:51:20,725 epoch 67 - iter 1855/2650 - loss 1.47128571 - samples/sec: 156.57
2020-05-14 20:52:14,894 epoch 67 - iter 2120/2650 - loss 1.46965530 - samples/sec: 156.64
2020-05-14 20:53:08,714 epoch 67 - iter 2385/2650 - loss 1.46740865 - samples/sec: 157.65
2020-05-14 20:54:01,791 epoch 67 - iter 2650/2650 - loss 1.46766698 - samples/sec: 159.86
2020-05-14 20:54:01,804 ----------------------------------------------------------------------------------------------------
2020-05-14 20:54:01,804 EPOCH 67 done: loss 1.4677 - lr 0.0500000
2020-05-14 20:54:01,804 BAD EPOCHS (no improvement): 0
2020-05-14 20:54:01,804 ----------------------------------------------------------------------------------------------------
2020-05-14 20:54:56,240 epoch 68 - iter 265/2650 - loss 1.41747971 - samples/sec: 155.84
2020-05-14 20:55:50,651 epoch 68 - iter 530/2650 - loss 1.42767210 - samples/sec: 155.94
2020-05-14 20:56:45,228 epoch 68 - iter 795/2650 - loss 1.42522207 - samples/sec: 155.47
2020-05-14 20:57:38,594 epoch 68 - iter 1060/2650 - loss 1.41737097 - samples/sec: 158.99
2020-05-14 20:58:33,359 epoch 68 - iter 1325/2650 - loss 1.42012960 - samples/sec: 154.93
2020-05-14 20:59:25,896 epoch 68 - iter 1590/2650 - loss 1.41960639 - samples/sec: 161.50
2020-05-14 21:00:20,021 epoch 68 - iter 1855/2650 - loss 1.42286340 - samples/sec: 156.76
2020-05-14 21:01:13,272 epoch 68 - iter 2120/2650 - loss 1.41928446 - samples/sec: 159.33
2020-05-14 21:02:07,850 epoch 68 - iter 2385/2650 - loss 1.42762639 - samples/sec: 155.46
2020-05-14 21:03:02,508 epoch 68 - iter 2650/2650 - loss 1.42825820 - samples/sec: 155.24
2020-05-14 21:03:02,523 ----------------------------------------------------------------------------------------------------
2020-05-14 21:03:02,523 EPOCH 68 done: loss 1.4283 - lr 0.0500000
2020-05-14 21:03:02,523 BAD EPOCHS (no improvement): 0
2020-05-14 21:03:02,523 ----------------------------------------------------------------------------------------------------
2020-05-14 21:03:57,027 epoch 69 - iter 265/2650 - loss 1.39768694 - samples/sec: 155.65
2020-05-14 21:04:51,383 epoch 69 - iter 530/2650 - loss 1.42063675 - samples/sec: 156.09
2020-05-14 21:05:44,603 epoch 69 - iter 795/2650 - loss 1.43323059 - samples/sec: 159.43
2020-05-14 21:06:38,624 epoch 69 - iter 1060/2650 - loss 1.43117970 - samples/sec: 157.06
2020-05-14 21:07:32,785 epoch 69 - iter 1325/2650 - loss 1.42845978 - samples/sec: 156.66
2020-05-14 21:08:27,874 epoch 69 - iter 1590/2650 - loss 1.42948377 - samples/sec: 154.02
2020-05-14 21:09:21,336 epoch 69 - iter 1855/2650 - loss 1.42786994 - samples/sec: 158.71
2020-05-14 21:10:15,910 epoch 69 - iter 2120/2650 - loss 1.42959780 - samples/sec: 155.47
2020-05-14 21:11:09,178 epoch 69 - iter 2385/2650 - loss 1.42122788 - samples/sec: 159.29
2020-05-14 21:12:03,006 epoch 69 - iter 2650/2650 - loss 1.41781934 - samples/sec: 157.63
2020-05-14 21:12:03,019 ----------------------------------------------------------------------------------------------------
2020-05-14 21:12:03,019 EPOCH 69 done: loss 1.4178 - lr 0.0500000
2020-05-14 21:12:03,019 BAD EPOCHS (no improvement): 0
2020-05-14 21:12:03,019 ----------------------------------------------------------------------------------------------------
2020-05-14 21:12:57,693 epoch 70 - iter 265/2650 - loss 1.41301487 - samples/sec: 155.16
2020-05-14 21:13:49,851 epoch 70 - iter 530/2650 - loss 1.40683861 - samples/sec: 162.68
2020-05-14 21:14:45,378 epoch 70 - iter 795/2650 - loss 1.41099609 - samples/sec: 152.80
2020-05-14 21:15:39,727 epoch 70 - iter 1060/2650 - loss 1.41254120 - samples/sec: 156.11
2020-05-14 21:16:33,975 epoch 70 - iter 1325/2650 - loss 1.41211868 - samples/sec: 156.41
2020-05-14 21:17:27,467 epoch 70 - iter 1590/2650 - loss 1.40994319 - samples/sec: 158.62
2020-05-14 21:18:20,453 epoch 70 - iter 1855/2650 - loss 1.40811338 - samples/sec: 160.13
2020-05-14 21:19:14,513 epoch 70 - iter 2120/2650 - loss 1.40506929 - samples/sec: 156.95
2020-05-14 21:20:08,113 epoch 70 - iter 2385/2650 - loss 1.39989967 - samples/sec: 158.30
2020-05-14 21:21:01,876 epoch 70 - iter 2650/2650 - loss 1.39948167 - samples/sec: 157.82
2020-05-14 21:21:01,889 ----------------------------------------------------------------------------------------------------
2020-05-14 21:21:01,890 EPOCH 70 done: loss 1.3995 - lr 0.0500000
2020-05-14 21:21:01,890 BAD EPOCHS (no improvement): 0
2020-05-14 21:21:01,890 ----------------------------------------------------------------------------------------------------
2020-05-14 21:21:55,347 epoch 71 - iter 265/2650 - loss 1.35292446 - samples/sec: 158.69
2020-05-14 21:22:50,605 epoch 71 - iter 530/2650 - loss 1.36875036 - samples/sec: 153.55
2020-05-14 21:23:44,097 epoch 71 - iter 795/2650 - loss 1.37259444 - samples/sec: 158.62
2020-05-14 21:24:37,526 epoch 71 - iter 1060/2650 - loss 1.38226555 - samples/sec: 158.81
2020-05-14 21:25:31,788 epoch 71 - iter 1325/2650 - loss 1.38142325 - samples/sec: 156.37
2020-05-14 21:26:26,025 epoch 71 - iter 1590/2650 - loss 1.38453844 - samples/sec: 156.44
2020-05-14 21:27:20,449 epoch 71 - iter 1855/2650 - loss 1.38936635 - samples/sec: 155.90
2020-05-14 21:28:14,660 epoch 71 - iter 2120/2650 - loss 1.39437944 - samples/sec: 156.51
2020-05-14 21:29:08,092 epoch 71 - iter 2385/2650 - loss 1.39303112 - samples/sec: 158.80
2020-05-14 21:30:01,520 epoch 71 - iter 2650/2650 - loss 1.39368386 - samples/sec: 158.81
2020-05-14 21:30:01,533 ----------------------------------------------------------------------------------------------------
2020-05-14 21:30:01,533 EPOCH 71 done: loss 1.3937 - lr 0.0500000
2020-05-14 21:30:01,534 BAD EPOCHS (no improvement): 0
2020-05-14 21:30:01,534 ----------------------------------------------------------------------------------------------------
2020-05-14 21:30:55,410 epoch 72 - iter 265/2650 - loss 1.34145253 - samples/sec: 157.46
2020-05-14 21:31:48,372 epoch 72 - iter 530/2650 - loss 1.34648129 - samples/sec: 160.21
2020-05-14 21:32:41,504 epoch 72 - iter 795/2650 - loss 1.36615739 - samples/sec: 159.69
2020-05-14 21:33:36,513 epoch 72 - iter 1060/2650 - loss 1.36947144 - samples/sec: 154.24
2020-05-14 21:34:30,459 epoch 72 - iter 1325/2650 - loss 1.37307631 - samples/sec: 157.28
2020-05-14 21:35:24,816 epoch 72 - iter 1590/2650 - loss 1.37976541 - samples/sec: 156.09
2020-05-14 21:36:19,233 epoch 72 - iter 1855/2650 - loss 1.38174324 - samples/sec: 155.92
2020-05-14 21:37:13,301 epoch 72 - iter 2120/2650 - loss 1.37398939 - samples/sec: 156.92
2020-05-14 21:38:07,114 epoch 72 - iter 2385/2650 - loss 1.37665469 - samples/sec: 157.67
2020-05-14 21:39:01,214 epoch 72 - iter 2650/2650 - loss 1.37789605 - samples/sec: 156.83
2020-05-14 21:39:01,227 ----------------------------------------------------------------------------------------------------
2020-05-14 21:39:01,227 EPOCH 72 done: loss 1.3779 - lr 0.0500000
2020-05-14 21:39:01,228 BAD EPOCHS (no improvement): 0
2020-05-14 21:39:01,228 ----------------------------------------------------------------------------------------------------
2020-05-14 21:39:55,126 epoch 73 - iter 265/2650 - loss 1.35740425 - samples/sec: 157.39
2020-05-14 21:40:48,498 epoch 73 - iter 530/2650 - loss 1.37110675 - samples/sec: 158.97
2020-05-14 21:41:41,599 epoch 73 - iter 795/2650 - loss 1.36987859 - samples/sec: 159.78
2020-05-14 21:42:35,440 epoch 73 - iter 1060/2650 - loss 1.37014976 - samples/sec: 157.59
2020-05-14 21:43:29,319 epoch 73 - iter 1325/2650 - loss 1.37623618 - samples/sec: 157.48
2020-05-14 21:44:23,522 epoch 73 - iter 1590/2650 - loss 1.37004114 - samples/sec: 156.54
2020-05-14 21:45:17,438 epoch 73 - iter 1855/2650 - loss 1.36947950 - samples/sec: 157.37
2020-05-14 21:46:11,844 epoch 73 - iter 2120/2650 - loss 1.37060331 - samples/sec: 155.95
2020-05-14 21:47:07,076 epoch 73 - iter 2385/2650 - loss 1.37257156 - samples/sec: 153.62
2020-05-14 21:48:00,115 epoch 73 - iter 2650/2650 - loss 1.37655445 - samples/sec: 159.98
2020-05-14 21:48:00,128 ----------------------------------------------------------------------------------------------------
2020-05-14 21:48:00,128 EPOCH 73 done: loss 1.3766 - lr 0.0500000
2020-05-14 21:48:00,128 BAD EPOCHS (no improvement): 0
2020-05-14 21:48:00,128 ----------------------------------------------------------------------------------------------------
2020-05-14 21:48:53,464 epoch 74 - iter 265/2650 - loss 1.39376059 - samples/sec: 159.06
2020-05-14 21:49:47,359 epoch 74 - iter 530/2650 - loss 1.37057032 - samples/sec: 157.43
2020-05-14 21:50:40,678 epoch 74 - iter 795/2650 - loss 1.36784909 - samples/sec: 159.13
2020-05-14 21:51:34,133 epoch 74 - iter 1060/2650 - loss 1.36445378 - samples/sec: 158.73
2020-05-14 21:52:27,504 epoch 74 - iter 1325/2650 - loss 1.36499844 - samples/sec: 158.98
2020-05-14 21:53:20,943 epoch 74 - iter 1590/2650 - loss 1.36177964 - samples/sec: 158.77
2020-05-14 21:54:15,590 epoch 74 - iter 1855/2650 - loss 1.35700841 - samples/sec: 155.26
2020-05-14 21:55:09,000 epoch 74 - iter 2120/2650 - loss 1.35508353 - samples/sec: 158.86
2020-05-14 21:56:03,454 epoch 74 - iter 2385/2650 - loss 1.35607799 - samples/sec: 155.82
2020-05-14 21:56:58,573 epoch 74 - iter 2650/2650 - loss 1.36166767 - samples/sec: 153.93
2020-05-14 21:56:58,586 ----------------------------------------------------------------------------------------------------
2020-05-14 21:56:58,586 EPOCH 74 done: loss 1.3617 - lr 0.0500000
2020-05-14 21:56:58,586 BAD EPOCHS (no improvement): 0
2020-05-14 21:56:58,586 ----------------------------------------------------------------------------------------------------
2020-05-14 21:57:52,628 epoch 75 - iter 265/2650 - loss 1.39198587 - samples/sec: 156.98
2020-05-14 21:58:46,553 epoch 75 - iter 530/2650 - loss 1.37174121 - samples/sec: 157.34
2020-05-14 21:59:39,630 epoch 75 - iter 795/2650 - loss 1.34935216 - samples/sec: 159.86
2020-05-14 22:00:33,234 epoch 75 - iter 1060/2650 - loss 1.34952764 - samples/sec: 158.29
2020-05-14 22:01:27,646 epoch 75 - iter 1325/2650 - loss 1.35243938 - samples/sec: 155.93
2020-05-14 22:02:21,584 epoch 75 - iter 1590/2650 - loss 1.35223343 - samples/sec: 157.30
2020-05-14 22:03:15,380 epoch 75 - iter 1855/2650 - loss 1.35619335 - samples/sec: 157.72
2020-05-14 22:04:09,239 epoch 75 - iter 2120/2650 - loss 1.36084006 - samples/sec: 157.53
2020-05-14 22:05:03,048 epoch 75 - iter 2385/2650 - loss 1.36041988 - samples/sec: 157.68
2020-05-14 22:05:56,132 epoch 75 - iter 2650/2650 - loss 1.36019238 - samples/sec: 159.84
2020-05-14 22:05:56,145 ----------------------------------------------------------------------------------------------------
2020-05-14 22:05:56,145 EPOCH 75 done: loss 1.3602 - lr 0.0500000
2020-05-14 22:05:56,145 BAD EPOCHS (no improvement): 0
2020-05-14 22:05:56,145 ----------------------------------------------------------------------------------------------------
2020-05-14 22:06:52,315 epoch 76 - iter 265/2650 - loss 1.39707153 - samples/sec: 151.03
2020-05-14 22:07:45,711 epoch 76 - iter 530/2650 - loss 1.38022262 - samples/sec: 158.90
2020-05-14 22:08:37,714 epoch 76 - iter 795/2650 - loss 1.35768327 - samples/sec: 163.16
2020-05-14 22:09:31,824 epoch 76 - iter 1060/2650 - loss 1.35677073 - samples/sec: 156.80
2020-05-14 22:10:25,865 epoch 76 - iter 1325/2650 - loss 1.35777188 - samples/sec: 157.00
2020-05-14 22:11:19,718 epoch 76 - iter 1590/2650 - loss 1.35458247 - samples/sec: 157.55
2020-05-14 22:12:13,332 epoch 76 - iter 1855/2650 - loss 1.36017705 - samples/sec: 158.25
2020-05-14 22:13:07,185 epoch 76 - iter 2120/2650 - loss 1.35924887 - samples/sec: 157.55
2020-05-14 22:14:00,093 epoch 76 - iter 2385/2650 - loss 1.36047490 - samples/sec: 160.37
2020-05-14 22:14:54,319 epoch 76 - iter 2650/2650 - loss 1.36419064 - samples/sec: 156.47
2020-05-14 22:14:54,332 ----------------------------------------------------------------------------------------------------
2020-05-14 22:14:54,332 EPOCH 76 done: loss 1.3642 - lr 0.0500000
2020-05-14 22:14:54,332 BAD EPOCHS (no improvement): 1
2020-05-14 22:14:54,332 ----------------------------------------------------------------------------------------------------
2020-05-14 22:15:47,300 epoch 77 - iter 265/2650 - loss 1.35915679 - samples/sec: 160.16
2020-05-14 22:16:41,287 epoch 77 - iter 530/2650 - loss 1.34584676 - samples/sec: 157.16
2020-05-14 22:17:34,237 epoch 77 - iter 795/2650 - loss 1.33870957 - samples/sec: 160.24
2020-05-14 22:18:27,659 epoch 77 - iter 1060/2650 - loss 1.34011728 - samples/sec: 158.82
2020-05-14 22:19:21,448 epoch 77 - iter 1325/2650 - loss 1.34032251 - samples/sec: 157.74
2020-05-14 22:20:15,914 epoch 77 - iter 1590/2650 - loss 1.35042814 - samples/sec: 155.78
2020-05-14 22:21:09,993 epoch 77 - iter 1855/2650 - loss 1.35562984 - samples/sec: 156.90
2020-05-14 22:22:03,145 epoch 77 - iter 2120/2650 - loss 1.34915981 - samples/sec: 159.63
2020-05-14 22:22:57,966 epoch 77 - iter 2385/2650 - loss 1.35221690 - samples/sec: 154.77
2020-05-14 22:23:51,504 epoch 77 - iter 2650/2650 - loss 1.34865247 - samples/sec: 158.48
2020-05-14 22:23:51,517 ----------------------------------------------------------------------------------------------------
2020-05-14 22:23:51,517 EPOCH 77 done: loss 1.3487 - lr 0.0500000
2020-05-14 22:23:51,517 BAD EPOCHS (no improvement): 0
2020-05-14 22:23:51,518 ----------------------------------------------------------------------------------------------------
2020-05-14 22:24:47,361 epoch 78 - iter 265/2650 - loss 1.33324495 - samples/sec: 151.91
2020-05-14 22:25:40,049 epoch 78 - iter 530/2650 - loss 1.31579904 - samples/sec: 161.04
2020-05-14 22:26:33,905 epoch 78 - iter 795/2650 - loss 1.32363458 - samples/sec: 157.54
2020-05-14 22:27:27,334 epoch 78 - iter 1060/2650 - loss 1.33168128 - samples/sec: 158.80
2020-05-14 22:28:20,519 epoch 78 - iter 1325/2650 - loss 1.33051480 - samples/sec: 159.53
2020-05-14 22:29:14,317 epoch 78 - iter 1590/2650 - loss 1.32872870 - samples/sec: 157.72
2020-05-14 22:30:07,773 epoch 78 - iter 1855/2650 - loss 1.33129725 - samples/sec: 158.72
2020-05-14 22:31:01,979 epoch 78 - iter 2120/2650 - loss 1.33565576 - samples/sec: 156.52
2020-05-14 22:31:56,597 epoch 78 - iter 2385/2650 - loss 1.33913790 - samples/sec: 155.35
2020-05-14 22:32:50,679 epoch 78 - iter 2650/2650 - loss 1.34015847 - samples/sec: 156.89
2020-05-14 22:32:50,692 ----------------------------------------------------------------------------------------------------
2020-05-14 22:32:50,692 EPOCH 78 done: loss 1.3402 - lr 0.0500000
2020-05-14 22:32:50,692 BAD EPOCHS (no improvement): 0
2020-05-14 22:32:50,693 ----------------------------------------------------------------------------------------------------
2020-05-14 22:33:44,141 epoch 79 - iter 265/2650 - loss 1.35461692 - samples/sec: 158.72
2020-05-14 22:34:37,975 epoch 79 - iter 530/2650 - loss 1.33489489 - samples/sec: 157.61
2020-05-14 22:35:31,123 epoch 79 - iter 795/2650 - loss 1.34049174 - samples/sec: 159.64
2020-05-14 22:36:24,536 epoch 79 - iter 1060/2650 - loss 1.33709713 - samples/sec: 158.85
2020-05-14 22:37:19,040 epoch 79 - iter 1325/2650 - loss 1.33811651 - samples/sec: 155.67
2020-05-14 22:38:12,490 epoch 79 - iter 1590/2650 - loss 1.33363890 - samples/sec: 158.74
2020-05-14 22:39:08,409 epoch 79 - iter 1855/2650 - loss 1.34062792 - samples/sec: 151.73
2020-05-14 22:40:01,509 epoch 79 - iter 2120/2650 - loss 1.34064601 - samples/sec: 159.79
2020-05-14 22:40:54,850 epoch 79 - iter 2385/2650 - loss 1.33857651 - samples/sec: 159.07
2020-05-14 22:41:48,767 epoch 79 - iter 2650/2650 - loss 1.33967363 - samples/sec: 157.37
2020-05-14 22:41:48,779 ----------------------------------------------------------------------------------------------------
2020-05-14 22:41:48,780 EPOCH 79 done: loss 1.3397 - lr 0.0500000
2020-05-14 22:41:48,780 BAD EPOCHS (no improvement): 0
2020-05-14 22:41:48,780 ----------------------------------------------------------------------------------------------------
2020-05-14 22:42:42,841 epoch 80 - iter 265/2650 - loss 1.31220739 - samples/sec: 156.92
2020-05-14 22:43:37,253 epoch 80 - iter 530/2650 - loss 1.30499674 - samples/sec: 155.93
2020-05-14 22:44:31,660 epoch 80 - iter 795/2650 - loss 1.30447766 - samples/sec: 155.95
2020-05-14 22:45:25,165 epoch 80 - iter 1060/2650 - loss 1.30746868 - samples/sec: 158.58
2020-05-14 22:46:18,190 epoch 80 - iter 1325/2650 - loss 1.31759013 - samples/sec: 160.01
2020-05-14 22:47:12,066 epoch 80 - iter 1590/2650 - loss 1.31982082 - samples/sec: 157.48
2020-05-14 22:48:05,909 epoch 80 - iter 1855/2650 - loss 1.32145597 - samples/sec: 157.59
2020-05-14 22:49:00,890 epoch 80 - iter 2120/2650 - loss 1.33134543 - samples/sec: 154.32
2020-05-14 22:49:54,311 epoch 80 - iter 2385/2650 - loss 1.33574475 - samples/sec: 158.83
2020-05-14 22:50:47,799 epoch 80 - iter 2650/2650 - loss 1.33849741 - samples/sec: 158.63
2020-05-14 22:50:47,812 ----------------------------------------------------------------------------------------------------
2020-05-14 22:50:47,813 EPOCH 80 done: loss 1.3385 - lr 0.0500000
2020-05-14 22:50:47,813 BAD EPOCHS (no improvement): 0
2020-05-14 22:50:47,813 ----------------------------------------------------------------------------------------------------
2020-05-14 22:51:40,118 epoch 81 - iter 265/2650 - loss 1.30718297 - samples/sec: 162.19
2020-05-14 22:52:35,129 epoch 81 - iter 530/2650 - loss 1.31239733 - samples/sec: 154.23
2020-05-14 22:53:29,101 epoch 81 - iter 795/2650 - loss 1.30530852 - samples/sec: 157.21
2020-05-14 22:54:23,616 epoch 81 - iter 1060/2650 - loss 1.30303835 - samples/sec: 155.64
2020-05-14 22:55:16,907 epoch 81 - iter 1325/2650 - loss 1.31251508 - samples/sec: 159.22
2020-05-14 22:56:10,050 epoch 81 - iter 1590/2650 - loss 1.31909216 - samples/sec: 159.66
2020-05-14 22:57:04,578 epoch 81 - iter 1855/2650 - loss 1.31747327 - samples/sec: 155.60
2020-05-14 22:57:58,054 epoch 81 - iter 2120/2650 - loss 1.31576270 - samples/sec: 158.66
2020-05-14 22:58:52,170 epoch 81 - iter 2385/2650 - loss 1.31711063 - samples/sec: 156.79
2020-05-14 22:59:45,973 epoch 81 - iter 2650/2650 - loss 1.32009922 - samples/sec: 157.70
2020-05-14 22:59:45,986 ----------------------------------------------------------------------------------------------------
2020-05-14 22:59:45,986 EPOCH 81 done: loss 1.3201 - lr 0.0500000
2020-05-14 22:59:45,986 BAD EPOCHS (no improvement): 0
2020-05-14 22:59:45,986 ----------------------------------------------------------------------------------------------------
2020-05-14 23:00:40,185 epoch 82 - iter 265/2650 - loss 1.31846214 - samples/sec: 156.53
2020-05-14 23:01:34,559 epoch 82 - iter 530/2650 - loss 1.30975868 - samples/sec: 156.04
2020-05-14 23:02:28,732 epoch 82 - iter 795/2650 - loss 1.30524975 - samples/sec: 156.62
2020-05-14 23:03:23,184 epoch 82 - iter 1060/2650 - loss 1.31050507 - samples/sec: 155.82
2020-05-14 23:04:15,731 epoch 82 - iter 1325/2650 - loss 1.30474749 - samples/sec: 161.47
2020-05-14 23:05:09,714 epoch 82 - iter 1590/2650 - loss 1.31009547 - samples/sec: 157.18
2020-05-14 23:06:03,187 epoch 82 - iter 1855/2650 - loss 1.30875975 - samples/sec: 158.67
2020-05-14 23:06:56,530 epoch 82 - iter 2120/2650 - loss 1.31295594 - samples/sec: 159.06
2020-05-14 23:07:50,739 epoch 82 - iter 2385/2650 - loss 1.31409830 - samples/sec: 156.52
2020-05-14 23:08:44,905 epoch 82 - iter 2650/2650 - loss 1.31208582 - samples/sec: 156.64
2020-05-14 23:08:44,919 ----------------------------------------------------------------------------------------------------
2020-05-14 23:08:44,919 EPOCH 82 done: loss 1.3121 - lr 0.0500000
2020-05-14 23:08:44,919 BAD EPOCHS (no improvement): 0
2020-05-14 23:08:44,919 ----------------------------------------------------------------------------------------------------
2020-05-14 23:09:38,089 epoch 83 - iter 265/2650 - loss 1.29307777 - samples/sec: 159.55
2020-05-14 23:10:32,485 epoch 83 - iter 530/2650 - loss 1.30146086 - samples/sec: 155.98
2020-05-14 23:11:26,796 epoch 83 - iter 795/2650 - loss 1.30597829 - samples/sec: 156.22
2020-05-14 23:12:21,763 epoch 83 - iter 1060/2650 - loss 1.30520418 - samples/sec: 154.36
2020-05-14 23:13:15,154 epoch 83 - iter 1325/2650 - loss 1.30075674 - samples/sec: 158.92
2020-05-14 23:14:09,642 epoch 83 - iter 1590/2650 - loss 1.30309660 - samples/sec: 155.71
2020-05-14 23:15:04,807 epoch 83 - iter 1855/2650 - loss 1.31043433 - samples/sec: 153.80
2020-05-14 23:15:58,908 epoch 83 - iter 2120/2650 - loss 1.30909265 - samples/sec: 156.83
2020-05-14 23:16:51,827 epoch 83 - iter 2385/2650 - loss 1.31121379 - samples/sec: 160.34
2020-05-14 23:17:44,535 epoch 83 - iter 2650/2650 - loss 1.31291318 - samples/sec: 160.98
2020-05-14 23:17:44,548 ----------------------------------------------------------------------------------------------------
2020-05-14 23:17:44,548 EPOCH 83 done: loss 1.3129 - lr 0.0500000
2020-05-14 23:17:44,548 BAD EPOCHS (no improvement): 1
2020-05-14 23:17:44,548 ----------------------------------------------------------------------------------------------------
2020-05-14 23:18:39,100 epoch 84 - iter 265/2650 - loss 1.34617045 - samples/sec: 155.51
2020-05-14 23:19:32,098 epoch 84 - iter 530/2650 - loss 1.34078251 - samples/sec: 160.09
2020-05-14 23:20:27,359 epoch 84 - iter 795/2650 - loss 1.33971782 - samples/sec: 153.54
2020-05-14 23:21:20,873 epoch 84 - iter 1060/2650 - loss 1.32456150 - samples/sec: 158.55
2020-05-14 23:22:14,214 epoch 84 - iter 1325/2650 - loss 1.32205124 - samples/sec: 159.07
2020-05-14 23:23:08,041 epoch 84 - iter 1590/2650 - loss 1.32718640 - samples/sec: 157.63
2020-05-14 23:24:01,465 epoch 84 - iter 1855/2650 - loss 1.32345800 - samples/sec: 158.82
2020-05-14 23:24:55,330 epoch 84 - iter 2120/2650 - loss 1.32023975 - samples/sec: 157.52
2020-05-14 23:25:49,378 epoch 84 - iter 2385/2650 - loss 1.32409150 - samples/sec: 156.99
2020-05-14 23:26:44,194 epoch 84 - iter 2650/2650 - loss 1.32156428 - samples/sec: 154.79
2020-05-14 23:26:44,208 ----------------------------------------------------------------------------------------------------
2020-05-14 23:26:44,208 EPOCH 84 done: loss 1.3216 - lr 0.0500000
2020-05-14 23:26:44,208 BAD EPOCHS (no improvement): 2
2020-05-14 23:26:44,208 ----------------------------------------------------------------------------------------------------
2020-05-14 23:27:38,719 epoch 85 - iter 265/2650 - loss 1.23644273 - samples/sec: 155.63
2020-05-14 23:28:34,901 epoch 85 - iter 530/2650 - loss 1.27106136 - samples/sec: 151.02
2020-05-14 23:29:28,671 epoch 85 - iter 795/2650 - loss 1.29593851 - samples/sec: 157.80
2020-05-14 23:30:21,599 epoch 85 - iter 1060/2650 - loss 1.29926053 - samples/sec: 160.31
2020-05-14 23:31:15,570 epoch 85 - iter 1325/2650 - loss 1.30748671 - samples/sec: 157.21
2020-05-14 23:32:08,652 epoch 85 - iter 1590/2650 - loss 1.30744292 - samples/sec: 159.84
2020-05-14 23:33:03,251 epoch 85 - iter 1855/2650 - loss 1.30791786 - samples/sec: 155.40
2020-05-14 23:33:55,992 epoch 85 - iter 2120/2650 - loss 1.30739417 - samples/sec: 160.88
2020-05-14 23:34:51,073 epoch 85 - iter 2385/2650 - loss 1.30732251 - samples/sec: 154.04
2020-05-14 23:35:44,461 epoch 85 - iter 2650/2650 - loss 1.30762304 - samples/sec: 158.93
2020-05-14 23:35:44,474 ----------------------------------------------------------------------------------------------------
2020-05-14 23:35:44,474 EPOCH 85 done: loss 1.3076 - lr 0.0500000
2020-05-14 23:35:44,475 BAD EPOCHS (no improvement): 0
2020-05-14 23:35:44,475 ----------------------------------------------------------------------------------------------------
2020-05-14 23:36:37,798 epoch 86 - iter 265/2650 - loss 1.25879015 - samples/sec: 159.09
2020-05-14 23:37:31,380 epoch 86 - iter 530/2650 - loss 1.27930800 - samples/sec: 158.35
2020-05-14 23:38:24,488 epoch 86 - iter 795/2650 - loss 1.27822582 - samples/sec: 159.76
2020-05-14 23:39:18,264 epoch 86 - iter 1060/2650 - loss 1.28497870 - samples/sec: 157.78
2020-05-14 23:40:13,032 epoch 86 - iter 1325/2650 - loss 1.29440373 - samples/sec: 154.92
2020-05-14 23:41:07,630 epoch 86 - iter 1590/2650 - loss 1.29934157 - samples/sec: 155.40
2020-05-14 23:42:01,551 epoch 86 - iter 1855/2650 - loss 1.30620520 - samples/sec: 157.36
2020-05-14 23:42:55,926 epoch 86 - iter 2120/2650 - loss 1.30620958 - samples/sec: 156.04
2020-05-14 23:43:51,024 epoch 86 - iter 2385/2650 - loss 1.30863830 - samples/sec: 153.99
2020-05-14 23:44:44,434 epoch 86 - iter 2650/2650 - loss 1.31072366 - samples/sec: 158.86
2020-05-14 23:44:44,447 ----------------------------------------------------------------------------------------------------
2020-05-14 23:44:44,448 EPOCH 86 done: loss 1.3107 - lr 0.0500000
2020-05-14 23:44:44,448 BAD EPOCHS (no improvement): 1
2020-05-14 23:44:44,448 ----------------------------------------------------------------------------------------------------
2020-05-14 23:45:38,201 epoch 87 - iter 265/2650 - loss 1.29233044 - samples/sec: 157.82
2020-05-14 23:46:33,863 epoch 87 - iter 530/2650 - loss 1.29734736 - samples/sec: 152.43
2020-05-14 23:47:27,516 epoch 87 - iter 795/2650 - loss 1.29212979 - samples/sec: 158.14
2020-05-14 23:48:22,150 epoch 87 - iter 1060/2650 - loss 1.29033751 - samples/sec: 155.30
2020-05-14 23:49:16,167 epoch 87 - iter 1325/2650 - loss 1.29623862 - samples/sec: 157.08
2020-05-14 23:50:09,688 epoch 87 - iter 1590/2650 - loss 1.29551984 - samples/sec: 158.53
2020-05-14 23:51:03,781 epoch 87 - iter 1855/2650 - loss 1.30025420 - samples/sec: 156.85
2020-05-14 23:51:57,624 epoch 87 - iter 2120/2650 - loss 1.29643701 - samples/sec: 157.58
2020-05-14 23:52:51,988 epoch 87 - iter 2385/2650 - loss 1.30412617 - samples/sec: 156.07
2020-05-14 23:53:46,112 epoch 87 - iter 2650/2650 - loss 1.30727959 - samples/sec: 156.77
2020-05-14 23:53:46,125 ----------------------------------------------------------------------------------------------------
2020-05-14 23:53:46,125 EPOCH 87 done: loss 1.3073 - lr 0.0500000
2020-05-14 23:53:46,126 BAD EPOCHS (no improvement): 0
2020-05-14 23:53:46,126 ----------------------------------------------------------------------------------------------------
2020-05-14 23:54:40,693 epoch 88 - iter 265/2650 - loss 1.28962522 - samples/sec: 155.47
2020-05-14 23:55:34,977 epoch 88 - iter 530/2650 - loss 1.29084420 - samples/sec: 156.30
2020-05-14 23:56:28,265 epoch 88 - iter 795/2650 - loss 1.29395769 - samples/sec: 159.23
2020-05-14 23:57:23,340 epoch 88 - iter 1060/2650 - loss 1.30304416 - samples/sec: 154.05
2020-05-14 23:58:18,673 epoch 88 - iter 1325/2650 - loss 1.30434797 - samples/sec: 153.34
2020-05-14 23:59:11,220 epoch 88 - iter 1590/2650 - loss 1.29639494 - samples/sec: 161.47
2020-05-15 00:00:05,544 epoch 88 - iter 1855/2650 - loss 1.29518257 - samples/sec: 156.19
2020-05-15 00:00:59,915 epoch 88 - iter 2120/2650 - loss 1.29950781 - samples/sec: 156.05
2020-05-15 00:01:52,998 epoch 88 - iter 2385/2650 - loss 1.30074445 - samples/sec: 159.84
2020-05-15 00:02:47,198 epoch 88 - iter 2650/2650 - loss 1.29907852 - samples/sec: 156.55
2020-05-15 00:02:47,210 ----------------------------------------------------------------------------------------------------
2020-05-15 00:02:47,211 EPOCH 88 done: loss 1.2991 - lr 0.0500000
2020-05-15 00:02:47,211 BAD EPOCHS (no improvement): 0
2020-05-15 00:02:47,211 ----------------------------------------------------------------------------------------------------
2020-05-15 00:03:42,725 epoch 89 - iter 265/2650 - loss 1.31686041 - samples/sec: 152.81
2020-05-15 00:04:35,031 epoch 89 - iter 530/2650 - loss 1.30841930 - samples/sec: 162.21
2020-05-15 00:05:30,004 epoch 89 - iter 795/2650 - loss 1.29766308 - samples/sec: 154.34
2020-05-15 00:06:24,687 epoch 89 - iter 1060/2650 - loss 1.30899075 - samples/sec: 155.16
2020-05-15 00:07:18,889 epoch 89 - iter 1325/2650 - loss 1.30943297 - samples/sec: 156.54
2020-05-15 00:08:11,476 epoch 89 - iter 1590/2650 - loss 1.30521638 - samples/sec: 161.35
2020-05-15 00:09:06,030 epoch 89 - iter 1855/2650 - loss 1.30209363 - samples/sec: 155.53
2020-05-15 00:09:59,940 epoch 89 - iter 2120/2650 - loss 1.30089073 - samples/sec: 157.39
2020-05-15 00:10:52,695 epoch 89 - iter 2385/2650 - loss 1.29856840 - samples/sec: 160.83
2020-05-15 00:11:47,086 epoch 89 - iter 2650/2650 - loss 1.30113876 - samples/sec: 155.99
2020-05-15 00:11:47,099 ----------------------------------------------------------------------------------------------------
2020-05-15 00:11:47,100 EPOCH 89 done: loss 1.3011 - lr 0.0500000
2020-05-15 00:11:47,100 BAD EPOCHS (no improvement): 1
2020-05-15 00:11:47,100 ----------------------------------------------------------------------------------------------------
2020-05-15 00:12:40,289 epoch 90 - iter 265/2650 - loss 1.28095378 - samples/sec: 159.49
2020-05-15 00:13:33,461 epoch 90 - iter 530/2650 - loss 1.27562694 - samples/sec: 159.57
2020-05-15 00:14:27,297 epoch 90 - iter 795/2650 - loss 1.27909372 - samples/sec: 157.60
2020-05-15 00:15:22,321 epoch 90 - iter 1060/2650 - loss 1.28485313 - samples/sec: 154.20
2020-05-15 00:16:16,156 epoch 90 - iter 1325/2650 - loss 1.29023282 - samples/sec: 157.60
2020-05-15 00:17:10,080 epoch 90 - iter 1590/2650 - loss 1.28884726 - samples/sec: 157.34
2020-05-15 00:18:04,922 epoch 90 - iter 1855/2650 - loss 1.28749674 - samples/sec: 154.71
2020-05-15 00:18:57,318 epoch 90 - iter 2120/2650 - loss 1.28752739 - samples/sec: 161.94
2020-05-15 00:19:51,022 epoch 90 - iter 2385/2650 - loss 1.28800229 - samples/sec: 157.99
2020-05-15 00:20:45,878 epoch 90 - iter 2650/2650 - loss 1.28999963 - samples/sec: 154.67
2020-05-15 00:20:45,891 ----------------------------------------------------------------------------------------------------
2020-05-15 00:20:45,891 EPOCH 90 done: loss 1.2900 - lr 0.0500000
2020-05-15 00:20:45,891 BAD EPOCHS (no improvement): 0
2020-05-15 00:20:45,891 ----------------------------------------------------------------------------------------------------
2020-05-15 00:21:39,635 epoch 91 - iter 265/2650 - loss 1.29714923 - samples/sec: 157.85
2020-05-15 00:22:33,851 epoch 91 - iter 530/2650 - loss 1.30004657 - samples/sec: 156.50
2020-05-15 00:23:27,261 epoch 91 - iter 795/2650 - loss 1.30010403 - samples/sec: 158.86
2020-05-15 00:24:20,635 epoch 91 - iter 1060/2650 - loss 1.29509084 - samples/sec: 158.97
2020-05-15 00:25:15,232 epoch 91 - iter 1325/2650 - loss 1.30153804 - samples/sec: 155.40
2020-05-15 00:26:08,671 epoch 91 - iter 1590/2650 - loss 1.30243731 - samples/sec: 158.77
2020-05-15 00:27:02,996 epoch 91 - iter 1855/2650 - loss 1.29585323 - samples/sec: 156.19
2020-05-15 00:27:57,248 epoch 91 - iter 2120/2650 - loss 1.29702309 - samples/sec: 156.40
2020-05-15 00:28:52,976 epoch 91 - iter 2385/2650 - loss 1.29744061 - samples/sec: 152.25
2020-05-15 00:29:45,760 epoch 91 - iter 2650/2650 - loss 1.29889431 - samples/sec: 160.75
2020-05-15 00:29:45,773 ----------------------------------------------------------------------------------------------------
2020-05-15 00:29:45,774 EPOCH 91 done: loss 1.2989 - lr 0.0500000
2020-05-15 00:29:45,774 BAD EPOCHS (no improvement): 1
2020-05-15 00:29:45,774 ----------------------------------------------------------------------------------------------------
2020-05-15 00:30:39,620 epoch 92 - iter 265/2650 - loss 1.24524514 - samples/sec: 157.55
2020-05-15 00:31:35,106 epoch 92 - iter 530/2650 - loss 1.24774634 - samples/sec: 152.91
2020-05-15 00:32:28,537 epoch 92 - iter 795/2650 - loss 1.26304715 - samples/sec: 158.80
2020-05-15 00:33:22,966 epoch 92 - iter 1060/2650 - loss 1.27921519 - samples/sec: 155.89
2020-05-15 00:34:16,237 epoch 92 - iter 1325/2650 - loss 1.27490783 - samples/sec: 159.27
2020-05-15 00:35:09,203 epoch 92 - iter 1590/2650 - loss 1.27823676 - samples/sec: 160.19
2020-05-15 00:36:02,958 epoch 92 - iter 1855/2650 - loss 1.28202572 - samples/sec: 157.84
2020-05-15 00:36:57,218 epoch 92 - iter 2120/2650 - loss 1.28787137 - samples/sec: 156.37
2020-05-15 00:37:51,004 epoch 92 - iter 2385/2650 - loss 1.28791765 - samples/sec: 157.75
2020-05-15 00:38:45,025 epoch 92 - iter 2650/2650 - loss 1.28956612 - samples/sec: 157.07
2020-05-15 00:38:45,037 ----------------------------------------------------------------------------------------------------
2020-05-15 00:38:45,038 EPOCH 92 done: loss 1.2896 - lr 0.0500000
2020-05-15 00:38:45,038 BAD EPOCHS (no improvement): 0
2020-05-15 00:38:45,038 ----------------------------------------------------------------------------------------------------
2020-05-15 00:39:40,321 epoch 93 - iter 265/2650 - loss 1.30621351 - samples/sec: 153.45
2020-05-15 00:40:36,454 epoch 93 - iter 530/2650 - loss 1.31139162 - samples/sec: 151.15
2020-05-15 00:41:30,255 epoch 93 - iter 795/2650 - loss 1.30455897 - samples/sec: 157.71
2020-05-15 00:42:23,298 epoch 93 - iter 1060/2650 - loss 1.30059389 - samples/sec: 159.96
2020-05-15 00:43:17,470 epoch 93 - iter 1325/2650 - loss 1.29882440 - samples/sec: 156.63
2020-05-15 00:44:10,702 epoch 93 - iter 1590/2650 - loss 1.29545402 - samples/sec: 159.39
2020-05-15 00:45:05,236 epoch 93 - iter 1855/2650 - loss 1.29634397 - samples/sec: 155.59
2020-05-15 00:45:58,662 epoch 93 - iter 2120/2650 - loss 1.29595847 - samples/sec: 158.81
2020-05-15 00:46:52,349 epoch 93 - iter 2385/2650 - loss 1.29220662 - samples/sec: 158.04
2020-05-15 00:47:46,205 epoch 93 - iter 2650/2650 - loss 1.29105816 - samples/sec: 157.55
2020-05-15 00:47:46,218 ----------------------------------------------------------------------------------------------------
2020-05-15 00:47:46,218 EPOCH 93 done: loss 1.2911 - lr 0.0500000
2020-05-15 00:47:46,218 BAD EPOCHS (no improvement): 1
2020-05-15 00:47:46,218 ----------------------------------------------------------------------------------------------------
2020-05-15 00:48:40,073 epoch 94 - iter 265/2650 - loss 1.24063484 - samples/sec: 157.52
2020-05-15 00:49:34,656 epoch 94 - iter 530/2650 - loss 1.26656673 - samples/sec: 155.45
2020-05-15 00:50:29,353 epoch 94 - iter 795/2650 - loss 1.27225753 - samples/sec: 155.12
2020-05-15 00:51:31,101 epoch 94 - iter 1060/2650 - loss 1.26571879 - samples/sec: 137.40
2020-05-15 00:52:24,979 epoch 94 - iter 1325/2650 - loss 1.26855028 - samples/sec: 157.48
2020-05-15 00:53:18,924 epoch 94 - iter 1590/2650 - loss 1.27230640 - samples/sec: 157.28
2020-05-15 00:54:12,338 epoch 94 - iter 1855/2650 - loss 1.27379280 - samples/sec: 158.85
2020-05-15 00:55:06,312 epoch 94 - iter 2120/2650 - loss 1.27456122 - samples/sec: 157.20
2020-05-15 00:56:00,379 epoch 94 - iter 2385/2650 - loss 1.27882030 - samples/sec: 156.93
2020-05-15 00:56:54,043 epoch 94 - iter 2650/2650 - loss 1.28236128 - samples/sec: 158.11
2020-05-15 00:56:54,056 ----------------------------------------------------------------------------------------------------
2020-05-15 00:56:54,056 EPOCH 94 done: loss 1.2824 - lr 0.0500000
2020-05-15 00:56:54,056 BAD EPOCHS (no improvement): 0
2020-05-15 00:56:54,056 ----------------------------------------------------------------------------------------------------
2020-05-15 00:57:47,844 epoch 95 - iter 265/2650 - loss 1.23519860 - samples/sec: 157.72
2020-05-15 00:58:42,990 epoch 95 - iter 530/2650 - loss 1.26619800 - samples/sec: 153.86
2020-05-15 00:59:35,079 epoch 95 - iter 795/2650 - loss 1.26480685 - samples/sec: 162.89
2020-05-15 01:00:27,888 epoch 95 - iter 1060/2650 - loss 1.25947769 - samples/sec: 160.67
2020-05-15 01:01:22,549 epoch 95 - iter 1325/2650 - loss 1.26169406 - samples/sec: 155.22
2020-05-15 01:02:15,914 epoch 95 - iter 1590/2650 - loss 1.25896048 - samples/sec: 159.00
2020-05-15 01:03:10,760 epoch 95 - iter 1855/2650 - loss 1.26813502 - samples/sec: 154.70
2020-05-15 01:04:06,172 epoch 95 - iter 2120/2650 - loss 1.27014310 - samples/sec: 153.12
2020-05-15 01:05:01,073 epoch 95 - iter 2385/2650 - loss 1.27193371 - samples/sec: 154.54
2020-05-15 01:05:55,218 epoch 95 - iter 2650/2650 - loss 1.27343932 - samples/sec: 156.71
2020-05-15 01:05:55,231 ----------------------------------------------------------------------------------------------------
2020-05-15 01:05:55,231 EPOCH 95 done: loss 1.2734 - lr 0.0500000
2020-05-15 01:05:55,231 BAD EPOCHS (no improvement): 0
2020-05-15 01:05:55,231 ----------------------------------------------------------------------------------------------------
2020-05-15 01:06:50,946 epoch 96 - iter 265/2650 - loss 1.26450923 - samples/sec: 152.26
2020-05-15 01:07:43,785 epoch 96 - iter 530/2650 - loss 1.27473380 - samples/sec: 160.58
2020-05-15 01:08:37,780 epoch 96 - iter 795/2650 - loss 1.27772724 - samples/sec: 157.14
2020-05-15 01:09:32,029 epoch 96 - iter 1060/2650 - loss 1.27808956 - samples/sec: 156.40
2020-05-15 01:10:26,014 epoch 96 - iter 1325/2650 - loss 1.28253734 - samples/sec: 157.17
2020-05-15 01:11:18,943 epoch 96 - iter 1590/2650 - loss 1.28414288 - samples/sec: 160.31
2020-05-15 01:12:12,576 epoch 96 - iter 1855/2650 - loss 1.28167414 - samples/sec: 158.20
2020-05-15 01:13:07,493 epoch 96 - iter 2120/2650 - loss 1.28436855 - samples/sec: 154.50
2020-05-15 01:14:01,215 epoch 96 - iter 2385/2650 - loss 1.28244808 - samples/sec: 157.93
2020-05-15 01:14:54,287 epoch 96 - iter 2650/2650 - loss 1.28232688 - samples/sec: 159.88
2020-05-15 01:14:54,300 ----------------------------------------------------------------------------------------------------
2020-05-15 01:14:54,300 EPOCH 96 done: loss 1.2823 - lr 0.0500000
2020-05-15 01:14:54,300 BAD EPOCHS (no improvement): 1
2020-05-15 01:14:54,300 ----------------------------------------------------------------------------------------------------
2020-05-15 01:15:47,248 epoch 97 - iter 265/2650 - loss 1.23377696 - samples/sec: 160.22
2020-05-15 01:16:41,280 epoch 97 - iter 530/2650 - loss 1.24892769 - samples/sec: 157.03
2020-05-15 01:17:36,134 epoch 97 - iter 795/2650 - loss 1.26268204 - samples/sec: 154.68
2020-05-15 01:18:29,751 epoch 97 - iter 1060/2650 - loss 1.26875089 - samples/sec: 158.25
2020-05-15 01:19:23,163 epoch 97 - iter 1325/2650 - loss 1.27082744 - samples/sec: 158.86
2020-05-15 01:20:17,832 epoch 97 - iter 1590/2650 - loss 1.26934622 - samples/sec: 155.20
2020-05-15 01:21:11,149 epoch 97 - iter 1855/2650 - loss 1.26439882 - samples/sec: 159.14
2020-05-15 01:22:03,626 epoch 97 - iter 2120/2650 - loss 1.26397548 - samples/sec: 161.68
2020-05-15 01:22:58,978 epoch 97 - iter 2385/2650 - loss 1.27086574 - samples/sec: 153.28
2020-05-15 01:23:52,847 epoch 97 - iter 2650/2650 - loss 1.27245157 - samples/sec: 157.51
2020-05-15 01:23:52,859 ----------------------------------------------------------------------------------------------------
2020-05-15 01:23:52,860 EPOCH 97 done: loss 1.2725 - lr 0.0500000
2020-05-15 01:23:52,860 BAD EPOCHS (no improvement): 0
2020-05-15 01:23:52,860 ----------------------------------------------------------------------------------------------------
2020-05-15 01:24:45,009 epoch 98 - iter 265/2650 - loss 1.23771537 - samples/sec: 162.68
2020-05-15 01:25:38,382 epoch 98 - iter 530/2650 - loss 1.25454656 - samples/sec: 158.97
2020-05-15 01:26:32,255 epoch 98 - iter 795/2650 - loss 1.25696984 - samples/sec: 157.50
2020-05-15 01:27:27,001 epoch 98 - iter 1060/2650 - loss 1.27143000 - samples/sec: 154.98
2020-05-15 01:28:21,447 epoch 98 - iter 1325/2650 - loss 1.27741217 - samples/sec: 155.83
2020-05-15 01:29:15,529 epoch 98 - iter 1590/2650 - loss 1.27737081 - samples/sec: 156.88
2020-05-15 01:30:08,646 epoch 98 - iter 1855/2650 - loss 1.27011273 - samples/sec: 159.74
2020-05-15 01:31:02,067 epoch 98 - iter 2120/2650 - loss 1.26755273 - samples/sec: 158.83
2020-05-15 01:31:56,445 epoch 98 - iter 2385/2650 - loss 1.26723303 - samples/sec: 156.03
2020-05-15 01:32:49,471 epoch 98 - iter 2650/2650 - loss 1.26654968 - samples/sec: 160.01
2020-05-15 01:32:49,484 ----------------------------------------------------------------------------------------------------
2020-05-15 01:32:49,484 EPOCH 98 done: loss 1.2665 - lr 0.0500000
2020-05-15 01:32:49,485 BAD EPOCHS (no improvement): 0
2020-05-15 01:32:49,485 ----------------------------------------------------------------------------------------------------
2020-05-15 01:33:42,059 epoch 99 - iter 265/2650 - loss 1.29318646 - samples/sec: 161.36
2020-05-15 01:34:35,934 epoch 99 - iter 530/2650 - loss 1.29321718 - samples/sec: 157.49
2020-05-15 01:35:30,369 epoch 99 - iter 795/2650 - loss 1.27398225 - samples/sec: 155.87
2020-05-15 01:36:23,053 epoch 99 - iter 1060/2650 - loss 1.28083431 - samples/sec: 161.05
2020-05-15 01:37:17,669 epoch 99 - iter 1325/2650 - loss 1.28283918 - samples/sec: 155.35
2020-05-15 01:38:10,821 epoch 99 - iter 1590/2650 - loss 1.28656706 - samples/sec: 159.63
2020-05-15 01:39:04,115 epoch 99 - iter 1855/2650 - loss 1.28810812 - samples/sec: 159.20
2020-05-15 01:39:57,951 epoch 99 - iter 2120/2650 - loss 1.28583518 - samples/sec: 157.60
2020-05-15 01:40:51,381 epoch 99 - iter 2385/2650 - loss 1.28611043 - samples/sec: 158.80
2020-05-15 01:41:45,883 epoch 99 - iter 2650/2650 - loss 1.28409896 - samples/sec: 155.68
2020-05-15 01:41:45,896 ----------------------------------------------------------------------------------------------------
2020-05-15 01:41:45,896 EPOCH 99 done: loss 1.2841 - lr 0.0500000
2020-05-15 01:41:45,896 BAD EPOCHS (no improvement): 1
2020-05-15 01:41:45,896 ----------------------------------------------------------------------------------------------------
2020-05-15 01:42:40,445 epoch 100 - iter 265/2650 - loss 1.27466345 - samples/sec: 155.52
2020-05-15 01:43:33,536 epoch 100 - iter 530/2650 - loss 1.23794334 - samples/sec: 159.81
2020-05-15 01:44:27,167 epoch 100 - iter 795/2650 - loss 1.24975869 - samples/sec: 158.21
2020-05-15 01:45:21,206 epoch 100 - iter 1060/2650 - loss 1.26265733 - samples/sec: 157.01
2020-05-15 01:46:15,173 epoch 100 - iter 1325/2650 - loss 1.26418174 - samples/sec: 157.23
2020-05-15 01:47:08,667 epoch 100 - iter 1590/2650 - loss 1.26395332 - samples/sec: 158.61
2020-05-15 01:48:01,655 epoch 100 - iter 1855/2650 - loss 1.26770234 - samples/sec: 160.13
2020-05-15 01:48:54,920 epoch 100 - iter 2120/2650 - loss 1.26400359 - samples/sec: 159.29
2020-05-15 01:49:49,503 epoch 100 - iter 2385/2650 - loss 1.26842637 - samples/sec: 155.44
2020-05-15 01:50:43,037 epoch 100 - iter 2650/2650 - loss 1.26737255 - samples/sec: 158.50
2020-05-15 01:50:43,050 ----------------------------------------------------------------------------------------------------
2020-05-15 01:50:43,050 EPOCH 100 done: loss 1.2674 - lr 0.0500000
2020-05-15 01:50:43,050 BAD EPOCHS (no improvement): 2
2020-05-15 01:50:43,050 ----------------------------------------------------------------------------------------------------
2020-05-15 01:51:37,724 epoch 101 - iter 265/2650 - loss 1.21859552 - samples/sec: 155.16
2020-05-15 01:52:31,262 epoch 101 - iter 530/2650 - loss 1.23942235 - samples/sec: 158.48
2020-05-15 01:53:24,707 epoch 101 - iter 795/2650 - loss 1.23922870 - samples/sec: 158.76
2020-05-15 01:54:16,956 epoch 101 - iter 1060/2650 - loss 1.24184841 - samples/sec: 162.39
2020-05-15 01:55:11,340 epoch 101 - iter 1325/2650 - loss 1.24872314 - samples/sec: 156.01
2020-05-15 01:56:04,980 epoch 101 - iter 1590/2650 - loss 1.25222676 - samples/sec: 158.18
2020-05-15 01:56:58,484 epoch 101 - iter 1855/2650 - loss 1.25547718 - samples/sec: 158.58
2020-05-15 01:57:52,637 epoch 101 - iter 2120/2650 - loss 1.26061045 - samples/sec: 156.68
2020-05-15 01:58:46,674 epoch 101 - iter 2385/2650 - loss 1.26206263 - samples/sec: 157.01
2020-05-15 01:59:39,982 epoch 101 - iter 2650/2650 - loss 1.26200517 - samples/sec: 159.17
2020-05-15 01:59:39,995 ----------------------------------------------------------------------------------------------------
2020-05-15 01:59:39,995 EPOCH 101 done: loss 1.2620 - lr 0.0500000
2020-05-15 01:59:39,995 BAD EPOCHS (no improvement): 0
2020-05-15 01:59:39,995 ----------------------------------------------------------------------------------------------------
2020-05-15 02:00:34,703 epoch 102 - iter 265/2650 - loss 1.27226652 - samples/sec: 155.07
2020-05-15 02:01:28,521 epoch 102 - iter 530/2650 - loss 1.26084049 - samples/sec: 157.65
2020-05-15 02:02:21,685 epoch 102 - iter 795/2650 - loss 1.26198133 - samples/sec: 159.60
2020-05-15 02:03:15,595 epoch 102 - iter 1060/2650 - loss 1.25614550 - samples/sec: 157.39
2020-05-15 02:04:08,311 epoch 102 - iter 1325/2650 - loss 1.24678983 - samples/sec: 160.95
2020-05-15 02:05:01,641 epoch 102 - iter 1590/2650 - loss 1.24647254 - samples/sec: 159.10
2020-05-15 02:05:55,565 epoch 102 - iter 1855/2650 - loss 1.25072554 - samples/sec: 157.34
2020-05-15 02:06:50,001 epoch 102 - iter 2120/2650 - loss 1.25728071 - samples/sec: 155.86
2020-05-15 02:07:44,368 epoch 102 - iter 2385/2650 - loss 1.26023071 - samples/sec: 156.06
2020-05-15 02:08:38,527 epoch 102 - iter 2650/2650 - loss 1.26092790 - samples/sec: 156.67
2020-05-15 02:08:38,540 ----------------------------------------------------------------------------------------------------
2020-05-15 02:08:38,540 EPOCH 102 done: loss 1.2609 - lr 0.0500000
2020-05-15 02:08:38,540 BAD EPOCHS (no improvement): 0
2020-05-15 02:08:38,540 ----------------------------------------------------------------------------------------------------
2020-05-15 02:09:32,431 epoch 103 - iter 265/2650 - loss 1.29064339 - samples/sec: 157.42
2020-05-15 02:10:26,275 epoch 103 - iter 530/2650 - loss 1.28070825 - samples/sec: 157.58
2020-05-15 02:11:19,836 epoch 103 - iter 795/2650 - loss 1.26505811 - samples/sec: 158.41
2020-05-15 02:12:13,545 epoch 103 - iter 1060/2650 - loss 1.26442422 - samples/sec: 157.98
2020-05-15 02:13:06,796 epoch 103 - iter 1325/2650 - loss 1.27232426 - samples/sec: 159.33
2020-05-15 02:14:00,868 epoch 103 - iter 1590/2650 - loss 1.26840489 - samples/sec: 156.91
2020-05-15 02:14:54,515 epoch 103 - iter 1855/2650 - loss 1.26482286 - samples/sec: 158.16
2020-05-15 02:15:48,527 epoch 103 - iter 2120/2650 - loss 1.26429755 - samples/sec: 157.09
2020-05-15 02:16:42,921 epoch 103 - iter 2385/2650 - loss 1.26267624 - samples/sec: 155.98
2020-05-15 02:17:37,316 epoch 103 - iter 2650/2650 - loss 1.26245132 - samples/sec: 155.98
2020-05-15 02:17:37,329 ----------------------------------------------------------------------------------------------------
2020-05-15 02:17:37,329 EPOCH 103 done: loss 1.2625 - lr 0.0500000
2020-05-15 02:17:37,329 BAD EPOCHS (no improvement): 1
2020-05-15 02:17:37,330 ----------------------------------------------------------------------------------------------------
2020-05-15 02:18:31,921 epoch 104 - iter 265/2650 - loss 1.23744571 - samples/sec: 155.40
2020-05-15 02:19:27,141 epoch 104 - iter 530/2650 - loss 1.25176738 - samples/sec: 153.65
2020-05-15 02:20:21,346 epoch 104 - iter 795/2650 - loss 1.24719082 - samples/sec: 156.53
2020-05-15 02:21:14,549 epoch 104 - iter 1060/2650 - loss 1.25008813 - samples/sec: 159.48
2020-05-15 02:22:07,482 epoch 104 - iter 1325/2650 - loss 1.25389501 - samples/sec: 160.29
2020-05-15 02:23:01,386 epoch 104 - iter 1590/2650 - loss 1.25682305 - samples/sec: 157.40
2020-05-15 02:23:54,969 epoch 104 - iter 1855/2650 - loss 1.25623399 - samples/sec: 158.35
2020-05-15 02:24:48,127 epoch 104 - iter 2120/2650 - loss 1.25486948 - samples/sec: 159.61
2020-05-15 02:25:41,442 epoch 104 - iter 2385/2650 - loss 1.25371203 - samples/sec: 159.14
2020-05-15 02:26:34,616 epoch 104 - iter 2650/2650 - loss 1.25401717 - samples/sec: 159.57
2020-05-15 02:26:34,629 ----------------------------------------------------------------------------------------------------
2020-05-15 02:26:34,629 EPOCH 104 done: loss 1.2540 - lr 0.0500000
2020-05-15 02:26:34,629 BAD EPOCHS (no improvement): 0
2020-05-15 02:26:34,629 ----------------------------------------------------------------------------------------------------
2020-05-15 02:27:27,230 epoch 105 - iter 265/2650 - loss 1.25104700 - samples/sec: 161.28
2020-05-15 02:28:21,691 epoch 105 - iter 530/2650 - loss 1.27310466 - samples/sec: 155.80
2020-05-15 02:29:16,627 epoch 105 - iter 795/2650 - loss 1.26966372 - samples/sec: 154.45
2020-05-15 02:30:09,631 epoch 105 - iter 1060/2650 - loss 1.27204163 - samples/sec: 160.08
2020-05-15 02:31:04,224 epoch 105 - iter 1325/2650 - loss 1.26951153 - samples/sec: 155.42
2020-05-15 02:31:57,355 epoch 105 - iter 1590/2650 - loss 1.26244286 - samples/sec: 159.69
2020-05-15 02:32:51,901 epoch 105 - iter 1855/2650 - loss 1.26544236 - samples/sec: 155.55
2020-05-15 02:33:44,424 epoch 105 - iter 2120/2650 - loss 1.25793114 - samples/sec: 161.54
2020-05-15 02:34:37,612 epoch 105 - iter 2385/2650 - loss 1.25807000 - samples/sec: 159.52
2020-05-15 02:35:32,820 epoch 105 - iter 2650/2650 - loss 1.25697478 - samples/sec: 153.69
2020-05-15 02:35:32,833 ----------------------------------------------------------------------------------------------------
2020-05-15 02:35:32,833 EPOCH 105 done: loss 1.2570 - lr 0.0500000
2020-05-15 02:35:32,833 BAD EPOCHS (no improvement): 1
2020-05-15 02:35:32,833 ----------------------------------------------------------------------------------------------------
2020-05-15 02:36:27,188 epoch 106 - iter 265/2650 - loss 1.29412618 - samples/sec: 156.07
2020-05-15 02:37:19,930 epoch 106 - iter 530/2650 - loss 1.27135831 - samples/sec: 160.87
2020-05-15 02:38:13,753 epoch 106 - iter 795/2650 - loss 1.26510955 - samples/sec: 157.64
2020-05-15 02:39:07,822 epoch 106 - iter 1060/2650 - loss 1.25568828 - samples/sec: 156.92
2020-05-15 02:40:01,564 epoch 106 - iter 1325/2650 - loss 1.25324540 - samples/sec: 157.88
2020-05-15 02:40:55,839 epoch 106 - iter 1590/2650 - loss 1.25132683 - samples/sec: 156.33
2020-05-15 02:41:48,547 epoch 106 - iter 1855/2650 - loss 1.25524532 - samples/sec: 160.98
2020-05-15 02:42:42,923 epoch 106 - iter 2120/2650 - loss 1.25919292 - samples/sec: 156.04
2020-05-15 02:43:35,819 epoch 106 - iter 2385/2650 - loss 1.25504484 - samples/sec: 160.41
2020-05-15 02:44:30,663 epoch 106 - iter 2650/2650 - loss 1.25919865 - samples/sec: 154.71
2020-05-15 02:44:30,676 ----------------------------------------------------------------------------------------------------
2020-05-15 02:44:30,676 EPOCH 106 done: loss 1.2592 - lr 0.0500000
2020-05-15 02:44:30,676 BAD EPOCHS (no improvement): 2
2020-05-15 02:44:30,677 ----------------------------------------------------------------------------------------------------
2020-05-15 02:45:24,793 epoch 107 - iter 265/2650 - loss 1.22465302 - samples/sec: 156.76
2020-05-15 02:46:18,177 epoch 107 - iter 530/2650 - loss 1.23295133 - samples/sec: 158.94
2020-05-15 02:47:11,876 epoch 107 - iter 795/2650 - loss 1.24575028 - samples/sec: 158.00
2020-05-15 02:48:05,125 epoch 107 - iter 1060/2650 - loss 1.23904974 - samples/sec: 159.34
2020-05-15 02:48:59,849 epoch 107 - iter 1325/2650 - loss 1.24267507 - samples/sec: 155.05
2020-05-15 02:49:54,496 epoch 107 - iter 1590/2650 - loss 1.24745794 - samples/sec: 155.26
2020-05-15 02:50:49,382 epoch 107 - iter 1855/2650 - loss 1.25014239 - samples/sec: 154.59
2020-05-15 02:51:41,848 epoch 107 - iter 2120/2650 - loss 1.24750889 - samples/sec: 161.72
2020-05-15 02:52:36,466 epoch 107 - iter 2385/2650 - loss 1.24977090 - samples/sec: 155.35
2020-05-15 02:53:31,404 epoch 107 - iter 2650/2650 - loss 1.24857618 - samples/sec: 154.44
2020-05-15 02:53:31,417 ----------------------------------------------------------------------------------------------------
2020-05-15 02:53:31,417 EPOCH 107 done: loss 1.2486 - lr 0.0500000
2020-05-15 02:53:31,417 BAD EPOCHS (no improvement): 0
2020-05-15 02:53:31,417 ----------------------------------------------------------------------------------------------------
2020-05-15 02:54:24,521 epoch 108 - iter 265/2650 - loss 1.25284896 - samples/sec: 159.75
2020-05-15 02:55:17,959 epoch 108 - iter 530/2650 - loss 1.25173928 - samples/sec: 158.78
2020-05-15 02:56:11,931 epoch 108 - iter 795/2650 - loss 1.24087113 - samples/sec: 157.21
2020-05-15 02:57:05,266 epoch 108 - iter 1060/2650 - loss 1.23513365 - samples/sec: 159.08
2020-05-15 02:57:59,097 epoch 108 - iter 1325/2650 - loss 1.23540279 - samples/sec: 157.62
2020-05-15 02:58:53,226 epoch 108 - iter 1590/2650 - loss 1.23414940 - samples/sec: 156.75
2020-05-15 02:59:48,516 epoch 108 - iter 1855/2650 - loss 1.24305216 - samples/sec: 153.46
2020-05-15 03:00:42,884 epoch 108 - iter 2120/2650 - loss 1.24799188 - samples/sec: 156.06
2020-05-15 03:01:36,639 epoch 108 - iter 2385/2650 - loss 1.24690121 - samples/sec: 157.84
2020-05-15 03:02:31,367 epoch 108 - iter 2650/2650 - loss 1.24809973 - samples/sec: 155.04
2020-05-15 03:02:31,380 ----------------------------------------------------------------------------------------------------
2020-05-15 03:02:31,380 EPOCH 108 done: loss 1.2481 - lr 0.0500000
2020-05-15 03:02:31,380 BAD EPOCHS (no improvement): 0
2020-05-15 03:02:31,380 ----------------------------------------------------------------------------------------------------
2020-05-15 03:03:25,795 epoch 109 - iter 265/2650 - loss 1.28336540 - samples/sec: 155.90
2020-05-15 03:04:20,550 epoch 109 - iter 530/2650 - loss 1.25269851 - samples/sec: 154.96
2020-05-15 03:05:14,419 epoch 109 - iter 795/2650 - loss 1.23805785 - samples/sec: 157.51
2020-05-15 03:06:08,721 epoch 109 - iter 1060/2650 - loss 1.23943096 - samples/sec: 156.25
2020-05-15 03:07:01,623 epoch 109 - iter 1325/2650 - loss 1.23827297 - samples/sec: 160.39
2020-05-15 03:07:56,422 epoch 109 - iter 1590/2650 - loss 1.24500710 - samples/sec: 154.83
2020-05-15 03:08:51,225 epoch 109 - iter 1855/2650 - loss 1.24801524 - samples/sec: 154.82
2020-05-15 03:09:46,747 epoch 109 - iter 2120/2650 - loss 1.25077872 - samples/sec: 152.82
2020-05-15 03:10:40,802 epoch 109 - iter 2385/2650 - loss 1.25096151 - samples/sec: 156.97
2020-05-15 03:11:33,641 epoch 109 - iter 2650/2650 - loss 1.25144843 - samples/sec: 160.58
2020-05-15 03:11:33,654 ----------------------------------------------------------------------------------------------------
2020-05-15 03:11:33,655 EPOCH 109 done: loss 1.2514 - lr 0.0500000
2020-05-15 03:11:33,655 BAD EPOCHS (no improvement): 1
2020-05-15 03:11:33,655 ----------------------------------------------------------------------------------------------------
2020-05-15 03:12:26,620 epoch 110 - iter 265/2650 - loss 1.21510914 - samples/sec: 160.17
2020-05-15 03:13:20,845 epoch 110 - iter 530/2650 - loss 1.22554135 - samples/sec: 156.47
2020-05-15 03:14:16,893 epoch 110 - iter 795/2650 - loss 1.23263888 - samples/sec: 151.38
2020-05-15 03:15:11,220 epoch 110 - iter 1060/2650 - loss 1.23061834 - samples/sec: 156.18
2020-05-15 03:16:05,376 epoch 110 - iter 1325/2650 - loss 1.22807292 - samples/sec: 156.67
2020-05-15 03:16:58,765 epoch 110 - iter 1590/2650 - loss 1.23235987 - samples/sec: 158.92
2020-05-15 03:17:52,033 epoch 110 - iter 1855/2650 - loss 1.23508636 - samples/sec: 159.28
2020-05-15 03:18:47,385 epoch 110 - iter 2120/2650 - loss 1.23785537 - samples/sec: 153.29
2020-05-15 03:19:41,847 epoch 110 - iter 2385/2650 - loss 1.24028790 - samples/sec: 155.79
2020-05-15 03:20:35,781 epoch 110 - iter 2650/2650 - loss 1.24486666 - samples/sec: 157.32
2020-05-15 03:20:35,794 ----------------------------------------------------------------------------------------------------
2020-05-15 03:20:35,794 EPOCH 110 done: loss 1.2449 - lr 0.0500000
2020-05-15 03:20:35,794 BAD EPOCHS (no improvement): 0
2020-05-15 03:20:35,795 ----------------------------------------------------------------------------------------------------
2020-05-15 03:21:31,451 epoch 111 - iter 265/2650 - loss 1.28482180 - samples/sec: 152.42
2020-05-15 03:22:24,844 epoch 111 - iter 530/2650 - loss 1.23976434 - samples/sec: 158.91
2020-05-15 03:23:18,907 epoch 111 - iter 795/2650 - loss 1.23959971 - samples/sec: 156.94
2020-05-15 03:24:13,305 epoch 111 - iter 1060/2650 - loss 1.24024139 - samples/sec: 155.97
2020-05-15 03:25:07,137 epoch 111 - iter 1325/2650 - loss 1.24189119 - samples/sec: 157.61
2020-05-15 03:26:00,597 epoch 111 - iter 1590/2650 - loss 1.23882925 - samples/sec: 158.71
2020-05-15 03:26:54,909 epoch 111 - iter 1855/2650 - loss 1.23798873 - samples/sec: 156.22
2020-05-15 03:27:49,712 epoch 111 - iter 2120/2650 - loss 1.23933149 - samples/sec: 154.82
2020-05-15 03:28:42,644 epoch 111 - iter 2385/2650 - loss 1.23875024 - samples/sec: 160.29
2020-05-15 03:29:38,744 epoch 111 - iter 2650/2650 - loss 1.23940699 - samples/sec: 151.25
2020-05-15 03:29:38,758 ----------------------------------------------------------------------------------------------------
2020-05-15 03:29:38,758 EPOCH 111 done: loss 1.2394 - lr 0.0500000
2020-05-15 03:29:38,758 BAD EPOCHS (no improvement): 0
2020-05-15 03:29:38,758 ----------------------------------------------------------------------------------------------------
2020-05-15 03:30:32,128 epoch 112 - iter 265/2650 - loss 1.20933176 - samples/sec: 158.96
2020-05-15 03:31:26,673 epoch 112 - iter 530/2650 - loss 1.22920871 - samples/sec: 155.55
2020-05-15 03:32:19,615 epoch 112 - iter 795/2650 - loss 1.23182555 - samples/sec: 160.27
2020-05-15 03:33:13,031 epoch 112 - iter 1060/2650 - loss 1.23395288 - samples/sec: 158.84
2020-05-15 03:34:06,183 epoch 112 - iter 1325/2650 - loss 1.23079564 - samples/sec: 159.63
2020-05-15 03:35:01,593 epoch 112 - iter 1590/2650 - loss 1.23445240 - samples/sec: 153.12
2020-05-15 03:35:57,618 epoch 112 - iter 1855/2650 - loss 1.23500379 - samples/sec: 151.44
2020-05-15 03:36:50,803 epoch 112 - iter 2120/2650 - loss 1.23067842 - samples/sec: 159.53
2020-05-15 03:37:44,663 epoch 112 - iter 2385/2650 - loss 1.23475909 - samples/sec: 157.53
2020-05-15 03:38:39,404 epoch 112 - iter 2650/2650 - loss 1.23576014 - samples/sec: 155.00
2020-05-15 03:38:39,417 ----------------------------------------------------------------------------------------------------
2020-05-15 03:38:39,417 EPOCH 112 done: loss 1.2358 - lr 0.0500000
2020-05-15 03:38:39,417 BAD EPOCHS (no improvement): 0
2020-05-15 03:38:39,417 ----------------------------------------------------------------------------------------------------
2020-05-15 03:39:32,580 epoch 113 - iter 265/2650 - loss 1.23176177 - samples/sec: 159.57
2020-05-15 03:40:28,668 epoch 113 - iter 530/2650 - loss 1.22497054 - samples/sec: 151.27
2020-05-15 03:41:22,007 epoch 113 - iter 795/2650 - loss 1.22502608 - samples/sec: 159.07
2020-05-15 03:42:15,455 epoch 113 - iter 1060/2650 - loss 1.22090125 - samples/sec: 158.75
2020-05-15 03:43:10,214 epoch 113 - iter 1325/2650 - loss 1.23089532 - samples/sec: 154.95
2020-05-15 03:44:03,579 epoch 113 - iter 1590/2650 - loss 1.22927489 - samples/sec: 158.99
2020-05-15 03:44:58,597 epoch 113 - iter 1855/2650 - loss 1.23587063 - samples/sec: 154.22
2020-05-15 03:45:52,412 epoch 113 - iter 2120/2650 - loss 1.23582336 - samples/sec: 157.66
2020-05-15 03:46:46,374 epoch 113 - iter 2385/2650 - loss 1.23523979 - samples/sec: 157.24
2020-05-15 03:47:40,851 epoch 113 - iter 2650/2650 - loss 1.24112750 - samples/sec: 155.75
2020-05-15 03:47:40,864 ----------------------------------------------------------------------------------------------------
2020-05-15 03:47:40,864 EPOCH 113 done: loss 1.2411 - lr 0.0500000
2020-05-15 03:47:40,864 BAD EPOCHS (no improvement): 1
2020-05-15 03:47:40,865 ----------------------------------------------------------------------------------------------------
2020-05-15 03:48:35,292 epoch 114 - iter 265/2650 - loss 1.22952330 - samples/sec: 155.87
2020-05-15 03:49:29,782 epoch 114 - iter 530/2650 - loss 1.23015073 - samples/sec: 155.71
2020-05-15 03:50:24,127 epoch 114 - iter 795/2650 - loss 1.23205589 - samples/sec: 156.13
2020-05-15 03:51:19,862 epoch 114 - iter 1060/2650 - loss 1.23534533 - samples/sec: 152.23
2020-05-15 03:52:13,145 epoch 114 - iter 1325/2650 - loss 1.23085108 - samples/sec: 159.24
2020-05-15 03:53:07,075 epoch 114 - iter 1590/2650 - loss 1.22934874 - samples/sec: 157.33
2020-05-15 03:54:00,719 epoch 114 - iter 1855/2650 - loss 1.23696704 - samples/sec: 158.17
2020-05-15 03:54:54,176 epoch 114 - iter 2120/2650 - loss 1.24237792 - samples/sec: 158.72
2020-05-15 03:55:48,494 epoch 114 - iter 2385/2650 - loss 1.24158840 - samples/sec: 156.20
2020-05-15 03:56:40,854 epoch 114 - iter 2650/2650 - loss 1.23932131 - samples/sec: 162.05
2020-05-15 03:56:40,867 ----------------------------------------------------------------------------------------------------
2020-05-15 03:56:40,867 EPOCH 114 done: loss 1.2393 - lr 0.0500000
2020-05-15 03:56:40,868 BAD EPOCHS (no improvement): 2
2020-05-15 03:56:40,868 ----------------------------------------------------------------------------------------------------
2020-05-15 03:57:34,288 epoch 115 - iter 265/2650 - loss 1.22163578 - samples/sec: 158.80
2020-05-15 03:58:29,315 epoch 115 - iter 530/2650 - loss 1.22271546 - samples/sec: 154.19
2020-05-15 03:59:24,503 epoch 115 - iter 795/2650 - loss 1.23001711 - samples/sec: 153.74
2020-05-15 04:00:19,187 epoch 115 - iter 1060/2650 - loss 1.22782893 - samples/sec: 155.16
2020-05-15 04:01:13,864 epoch 115 - iter 1325/2650 - loss 1.22020552 - samples/sec: 155.18
2020-05-15 04:02:06,789 epoch 115 - iter 1590/2650 - loss 1.22462813 - samples/sec: 160.32
2020-05-15 04:02:59,938 epoch 115 - iter 1855/2650 - loss 1.22745071 - samples/sec: 159.64
2020-05-15 04:03:51,762 epoch 115 - iter 2120/2650 - loss 1.23020673 - samples/sec: 163.72
2020-05-15 04:04:44,732 epoch 115 - iter 2385/2650 - loss 1.23315474 - samples/sec: 160.18
2020-05-15 04:05:40,383 epoch 115 - iter 2650/2650 - loss 1.23661054 - samples/sec: 152.46
2020-05-15 04:05:40,396 ----------------------------------------------------------------------------------------------------
2020-05-15 04:05:40,396 EPOCH 115 done: loss 1.2366 - lr 0.0500000
2020-05-15 04:05:40,396 BAD EPOCHS (no improvement): 3
2020-05-15 04:05:40,397 ----------------------------------------------------------------------------------------------------
2020-05-15 04:06:34,928 epoch 116 - iter 265/2650 - loss 1.21962420 - samples/sec: 155.57
2020-05-15 04:07:28,290 epoch 116 - iter 530/2650 - loss 1.22780110 - samples/sec: 159.00
2020-05-15 04:08:22,442 epoch 116 - iter 795/2650 - loss 1.23334781 - samples/sec: 156.68
2020-05-15 04:09:16,284 epoch 116 - iter 1060/2650 - loss 1.23139344 - samples/sec: 157.58
2020-05-15 04:10:09,969 epoch 116 - iter 1325/2650 - loss 1.23332757 - samples/sec: 158.05
2020-05-15 04:11:04,584 epoch 116 - iter 1590/2650 - loss 1.23460886 - samples/sec: 155.36
2020-05-15 04:11:57,317 epoch 116 - iter 1855/2650 - loss 1.23688723 - samples/sec: 160.90
2020-05-15 04:12:51,079 epoch 116 - iter 2120/2650 - loss 1.23825051 - samples/sec: 157.82
2020-05-15 04:13:45,594 epoch 116 - iter 2385/2650 - loss 1.23871480 - samples/sec: 155.64
2020-05-15 04:14:40,117 epoch 116 - iter 2650/2650 - loss 1.24117423 - samples/sec: 155.62
2020-05-15 04:14:40,130 ----------------------------------------------------------------------------------------------------
2020-05-15 04:14:40,130 EPOCH 116 done: loss 1.2412 - lr 0.0500000
2020-05-15 04:14:40,130 BAD EPOCHS (no improvement): 4
2020-05-15 04:14:40,130 ----------------------------------------------------------------------------------------------------
2020-05-15 04:15:33,550 epoch 117 - iter 265/2650 - loss 1.20404029 - samples/sec: 158.81
2020-05-15 04:16:28,592 epoch 117 - iter 530/2650 - loss 1.21627044 - samples/sec: 154.15
2020-05-15 04:17:23,047 epoch 117 - iter 795/2650 - loss 1.22673101 - samples/sec: 155.81
2020-05-15 04:18:17,855 epoch 117 - iter 1060/2650 - loss 1.22286175 - samples/sec: 154.81
2020-05-15 04:19:10,959 epoch 117 - iter 1325/2650 - loss 1.22551735 - samples/sec: 159.78
2020-05-15 04:20:04,864 epoch 117 - iter 1590/2650 - loss 1.22288518 - samples/sec: 157.40
2020-05-15 04:20:57,079 epoch 117 - iter 1855/2650 - loss 1.21737033 - samples/sec: 162.50
2020-05-15 04:21:50,459 epoch 117 - iter 2120/2650 - loss 1.21598841 - samples/sec: 158.95
2020-05-15 04:22:46,270 epoch 117 - iter 2385/2650 - loss 1.21557796 - samples/sec: 152.02
2020-05-15 04:23:40,189 epoch 117 - iter 2650/2650 - loss 1.21697477 - samples/sec: 157.36
2020-05-15 04:23:40,204 ----------------------------------------------------------------------------------------------------
2020-05-15 04:23:40,204 EPOCH 117 done: loss 1.2170 - lr 0.0250000
2020-05-15 04:23:40,204 BAD EPOCHS (no improvement): 0
2020-05-15 04:23:40,204 ----------------------------------------------------------------------------------------------------
2020-05-15 04:24:33,625 epoch 118 - iter 265/2650 - loss 1.20611758 - samples/sec: 158.80
2020-05-15 04:25:29,645 epoch 118 - iter 530/2650 - loss 1.21892287 - samples/sec: 151.46
2020-05-15 04:26:23,896 epoch 118 - iter 795/2650 - loss 1.20387809 - samples/sec: 156.40
2020-05-15 04:27:17,528 epoch 118 - iter 1060/2650 - loss 1.19432660 - samples/sec: 158.20
2020-05-15 04:28:11,565 epoch 118 - iter 1325/2650 - loss 1.19928186 - samples/sec: 157.02
2020-05-15 04:29:06,045 epoch 118 - iter 1590/2650 - loss 1.19766426 - samples/sec: 155.74
2020-05-15 04:29:59,178 epoch 118 - iter 1855/2650 - loss 1.20088935 - samples/sec: 159.69
2020-05-15 04:30:52,119 epoch 118 - iter 2120/2650 - loss 1.20165829 - samples/sec: 160.27
2020-05-15 04:31:47,166 epoch 118 - iter 2385/2650 - loss 1.20102712 - samples/sec: 154.13
2020-05-15 04:32:41,514 epoch 118 - iter 2650/2650 - loss 1.20544090 - samples/sec: 156.12
2020-05-15 04:32:41,527 ----------------------------------------------------------------------------------------------------
2020-05-15 04:32:41,527 EPOCH 118 done: loss 1.2054 - lr 0.0250000
2020-05-15 04:32:41,527 BAD EPOCHS (no improvement): 0
2020-05-15 04:32:41,527 ----------------------------------------------------------------------------------------------------
2020-05-15 04:33:35,636 epoch 119 - iter 265/2650 - loss 1.21816720 - samples/sec: 156.78
2020-05-15 04:34:28,588 epoch 119 - iter 530/2650 - loss 1.18800526 - samples/sec: 160.24
2020-05-15 04:35:22,845 epoch 119 - iter 795/2650 - loss 1.19827532 - samples/sec: 156.38
2020-05-15 04:36:16,999 epoch 119 - iter 1060/2650 - loss 1.19821306 - samples/sec: 156.68
2020-05-15 04:37:11,948 epoch 119 - iter 1325/2650 - loss 1.19437723 - samples/sec: 154.41
2020-05-15 04:38:05,093 epoch 119 - iter 1590/2650 - loss 1.18842720 - samples/sec: 159.65
2020-05-15 04:38:59,054 epoch 119 - iter 1855/2650 - loss 1.19009842 - samples/sec: 157.24
2020-05-15 04:39:51,786 epoch 119 - iter 2120/2650 - loss 1.19144234 - samples/sec: 160.90
2020-05-15 04:40:45,778 epoch 119 - iter 2385/2650 - loss 1.19081928 - samples/sec: 157.15
2020-05-15 04:41:41,519 epoch 119 - iter 2650/2650 - loss 1.19187211 - samples/sec: 152.22
2020-05-15 04:41:41,532 ----------------------------------------------------------------------------------------------------
2020-05-15 04:41:41,532 EPOCH 119 done: loss 1.1919 - lr 0.0250000
2020-05-15 04:41:41,532 BAD EPOCHS (no improvement): 0
2020-05-15 04:41:41,532 ----------------------------------------------------------------------------------------------------
2020-05-15 04:42:35,629 epoch 120 - iter 265/2650 - loss 1.14375797 - samples/sec: 156.82
2020-05-15 04:43:30,532 epoch 120 - iter 530/2650 - loss 1.16131267 - samples/sec: 154.54
2020-05-15 04:44:25,075 epoch 120 - iter 795/2650 - loss 1.16273998 - samples/sec: 155.56
2020-05-15 04:45:18,347 epoch 120 - iter 1060/2650 - loss 1.17866029 - samples/sec: 159.27
2020-05-15 04:46:11,185 epoch 120 - iter 1325/2650 - loss 1.17216035 - samples/sec: 160.58
2020-05-15 04:47:05,379 epoch 120 - iter 1590/2650 - loss 1.17092434 - samples/sec: 156.56
2020-05-15 04:47:59,753 epoch 120 - iter 1855/2650 - loss 1.17043343 - samples/sec: 156.04
2020-05-15 04:48:53,491 epoch 120 - iter 2120/2650 - loss 1.16845166 - samples/sec: 157.89
2020-05-15 04:49:47,409 epoch 120 - iter 2385/2650 - loss 1.16910934 - samples/sec: 157.36
2020-05-15 04:50:41,400 epoch 120 - iter 2650/2650 - loss 1.17295659 - samples/sec: 157.16
2020-05-15 04:50:41,413 ----------------------------------------------------------------------------------------------------
2020-05-15 04:50:41,413 EPOCH 120 done: loss 1.1730 - lr 0.0250000
2020-05-15 04:50:41,413 BAD EPOCHS (no improvement): 0
2020-05-15 04:50:41,413 ----------------------------------------------------------------------------------------------------
2020-05-15 04:51:35,194 epoch 121 - iter 265/2650 - loss 1.17179195 - samples/sec: 157.74
2020-05-15 04:52:29,324 epoch 121 - iter 530/2650 - loss 1.18334594 - samples/sec: 156.75
2020-05-15 04:53:23,670 epoch 121 - iter 795/2650 - loss 1.17741608 - samples/sec: 156.12
2020-05-15 04:54:17,802 epoch 121 - iter 1060/2650 - loss 1.17512032 - samples/sec: 156.74
2020-05-15 04:55:12,646 epoch 121 - iter 1325/2650 - loss 1.17233623 - samples/sec: 154.70
2020-05-15 04:56:06,173 epoch 121 - iter 1590/2650 - loss 1.17420269 - samples/sec: 158.52
2020-05-15 04:56:59,659 epoch 121 - iter 1855/2650 - loss 1.17484829 - samples/sec: 158.63
2020-05-15 04:57:53,889 epoch 121 - iter 2120/2650 - loss 1.17246011 - samples/sec: 156.46
2020-05-15 04:58:48,104 epoch 121 - iter 2385/2650 - loss 1.17216583 - samples/sec: 156.50
2020-05-15 04:59:41,296 epoch 121 - iter 2650/2650 - loss 1.17377966 - samples/sec: 159.51
2020-05-15 04:59:41,310 ----------------------------------------------------------------------------------------------------
2020-05-15 04:59:41,310 EPOCH 121 done: loss 1.1738 - lr 0.0250000
2020-05-15 04:59:41,310 BAD EPOCHS (no improvement): 1
2020-05-15 04:59:41,310 ----------------------------------------------------------------------------------------------------
2020-05-15 05:00:34,261 epoch 122 - iter 265/2650 - loss 1.19283219 - samples/sec: 160.21
2020-05-15 05:01:27,899 epoch 122 - iter 530/2650 - loss 1.18180169 - samples/sec: 158.19
2020-05-15 05:02:21,631 epoch 122 - iter 795/2650 - loss 1.16662445 - samples/sec: 157.91
2020-05-15 05:03:15,138 epoch 122 - iter 1060/2650 - loss 1.16556547 - samples/sec: 158.57
2020-05-15 05:04:08,999 epoch 122 - iter 1325/2650 - loss 1.17499540 - samples/sec: 157.53
2020-05-15 05:05:03,742 epoch 122 - iter 1590/2650 - loss 1.17796669 - samples/sec: 154.99
2020-05-15 05:06:05,756 epoch 122 - iter 1855/2650 - loss 1.17591886 - samples/sec: 136.81
2020-05-15 05:07:00,033 epoch 122 - iter 2120/2650 - loss 1.17687816 - samples/sec: 156.32
2020-05-15 05:07:54,571 epoch 122 - iter 2385/2650 - loss 1.17744578 - samples/sec: 155.57
2020-05-15 05:08:48,089 epoch 122 - iter 2650/2650 - loss 1.17576559 - samples/sec: 158.54
2020-05-15 05:08:48,102 ----------------------------------------------------------------------------------------------------
2020-05-15 05:08:48,103 EPOCH 122 done: loss 1.1758 - lr 0.0250000
2020-05-15 05:08:48,103 BAD EPOCHS (no improvement): 2
2020-05-15 05:08:48,103 ----------------------------------------------------------------------------------------------------
2020-05-15 05:09:41,471 epoch 123 - iter 265/2650 - loss 1.17230012 - samples/sec: 158.96
2020-05-15 05:10:35,256 epoch 123 - iter 530/2650 - loss 1.18072825 - samples/sec: 157.75
2020-05-15 05:11:28,332 epoch 123 - iter 795/2650 - loss 1.18858083 - samples/sec: 159.86
2020-05-15 05:12:21,431 epoch 123 - iter 1060/2650 - loss 1.18018834 - samples/sec: 159.79
2020-05-15 05:13:15,298 epoch 123 - iter 1325/2650 - loss 1.18271037 - samples/sec: 157.51
2020-05-15 05:14:08,315 epoch 123 - iter 1590/2650 - loss 1.18232061 - samples/sec: 160.04
2020-05-15 05:15:02,948 epoch 123 - iter 1855/2650 - loss 1.18926767 - samples/sec: 155.30
2020-05-15 05:15:56,654 epoch 123 - iter 2120/2650 - loss 1.18653048 - samples/sec: 157.98
2020-05-15 05:16:51,165 epoch 123 - iter 2385/2650 - loss 1.18562896 - samples/sec: 155.65
2020-05-15 05:17:46,042 epoch 123 - iter 2650/2650 - loss 1.18599337 - samples/sec: 154.62
2020-05-15 05:17:46,054 ----------------------------------------------------------------------------------------------------
2020-05-15 05:17:46,054 EPOCH 123 done: loss 1.1860 - lr 0.0250000
2020-05-15 05:17:46,055 BAD EPOCHS (no improvement): 3
2020-05-15 05:17:46,055 ----------------------------------------------------------------------------------------------------
2020-05-15 05:18:39,811 epoch 124 - iter 265/2650 - loss 1.12233189 - samples/sec: 157.81
2020-05-15 05:19:33,657 epoch 124 - iter 530/2650 - loss 1.13443209 - samples/sec: 157.57
2020-05-15 05:20:26,340 epoch 124 - iter 795/2650 - loss 1.13267111 - samples/sec: 161.05
2020-05-15 05:21:19,530 epoch 124 - iter 1060/2650 - loss 1.14145018 - samples/sec: 159.52
2020-05-15 05:22:14,009 epoch 124 - iter 1325/2650 - loss 1.14967857 - samples/sec: 155.74
2020-05-15 05:23:06,848 epoch 124 - iter 1590/2650 - loss 1.15143139 - samples/sec: 160.57
2020-05-15 05:24:00,847 epoch 124 - iter 1855/2650 - loss 1.15280894 - samples/sec: 157.13
2020-05-15 05:24:54,680 epoch 124 - iter 2120/2650 - loss 1.15600015 - samples/sec: 157.61
2020-05-15 05:25:49,205 epoch 124 - iter 2385/2650 - loss 1.15926199 - samples/sec: 155.61
2020-05-15 05:26:45,344 epoch 124 - iter 2650/2650 - loss 1.16116602 - samples/sec: 151.14
2020-05-15 05:26:45,357 ----------------------------------------------------------------------------------------------------
2020-05-15 05:26:45,357 EPOCH 124 done: loss 1.1612 - lr 0.0250000
2020-05-15 05:26:45,357 BAD EPOCHS (no improvement): 0
2020-05-15 05:26:45,357 ----------------------------------------------------------------------------------------------------
2020-05-15 05:27:40,188 epoch 125 - iter 265/2650 - loss 1.14419484 - samples/sec: 154.72
2020-05-15 05:28:35,352 epoch 125 - iter 530/2650 - loss 1.14030962 - samples/sec: 153.81
2020-05-15 05:29:29,619 epoch 125 - iter 795/2650 - loss 1.13176299 - samples/sec: 156.35
2020-05-15 05:30:25,072 epoch 125 - iter 1060/2650 - loss 1.14109974 - samples/sec: 153.01
2020-05-15 05:31:22,402 epoch 125 - iter 1325/2650 - loss 1.15293257 - samples/sec: 148.00
2020-05-15 05:32:21,412 epoch 125 - iter 1590/2650 - loss 1.14958824 - samples/sec: 143.79
2020-05-15 05:33:20,484 epoch 125 - iter 1855/2650 - loss 1.15237692 - samples/sec: 143.64
2020-05-15 05:34:19,217 epoch 125 - iter 2120/2650 - loss 1.15140051 - samples/sec: 144.47
2020-05-15 05:35:19,991 epoch 125 - iter 2385/2650 - loss 1.15981689 - samples/sec: 139.61
2020-05-15 05:36:19,426 epoch 125 - iter 2650/2650 - loss 1.16130499 - samples/sec: 142.76
2020-05-15 05:36:19,440 ----------------------------------------------------------------------------------------------------
2020-05-15 05:36:19,440 EPOCH 125 done: loss 1.1613 - lr 0.0250000
2020-05-15 05:36:19,440 BAD EPOCHS (no improvement): 1
2020-05-15 05:36:19,440 ----------------------------------------------------------------------------------------------------
2020-05-15 05:37:17,057 epoch 126 - iter 265/2650 - loss 1.15768138 - samples/sec: 147.24
2020-05-15 05:38:14,090 epoch 126 - iter 530/2650 - loss 1.16563090 - samples/sec: 148.79
2020-05-15 05:39:11,972 epoch 126 - iter 795/2650 - loss 1.16825711 - samples/sec: 146.59
2020-05-15 05:40:09,512 epoch 126 - iter 1060/2650 - loss 1.16664585 - samples/sec: 147.46
2020-05-15 05:41:04,706 epoch 126 - iter 1325/2650 - loss 1.16027412 - samples/sec: 153.73
2020-05-15 05:42:00,620 epoch 126 - iter 1590/2650 - loss 1.16195628 - samples/sec: 151.75
2020-05-15 05:42:58,026 epoch 126 - iter 1855/2650 - loss 1.16523188 - samples/sec: 147.81
2020-05-15 05:43:55,749 epoch 126 - iter 2120/2650 - loss 1.16727942 - samples/sec: 146.99
2020-05-15 05:44:54,029 epoch 126 - iter 2385/2650 - loss 1.16554344 - samples/sec: 145.59
2020-05-15 05:45:49,619 epoch 126 - iter 2650/2650 - loss 1.16273646 - samples/sec: 152.64
2020-05-15 05:45:49,633 ----------------------------------------------------------------------------------------------------
2020-05-15 05:45:49,633 EPOCH 126 done: loss 1.1627 - lr 0.0250000
2020-05-15 05:45:49,633 BAD EPOCHS (no improvement): 2
2020-05-15 05:45:49,633 ----------------------------------------------------------------------------------------------------
2020-05-15 05:46:46,212 epoch 127 - iter 265/2650 - loss 1.17504747 - samples/sec: 149.94
2020-05-15 05:47:43,421 epoch 127 - iter 530/2650 - loss 1.17490018 - samples/sec: 148.31
2020-05-15 05:48:41,276 epoch 127 - iter 795/2650 - loss 1.17320843 - samples/sec: 146.66
2020-05-15 05:49:38,186 epoch 127 - iter 1060/2650 - loss 1.17081662 - samples/sec: 149.09
2020-05-15 05:50:35,495 epoch 127 - iter 1325/2650 - loss 1.16637085 - samples/sec: 148.06
2020-05-15 05:51:32,080 epoch 127 - iter 1590/2650 - loss 1.16669535 - samples/sec: 149.95
2020-05-15 05:52:27,058 epoch 127 - iter 1855/2650 - loss 1.16185405 - samples/sec: 154.34
2020-05-15 05:53:22,954 epoch 127 - iter 2120/2650 - loss 1.15848093 - samples/sec: 151.80
2020-05-15 05:54:18,431 epoch 127 - iter 2385/2650 - loss 1.15733267 - samples/sec: 152.95
2020-05-15 05:55:13,659 epoch 127 - iter 2650/2650 - loss 1.15722730 - samples/sec: 153.64
2020-05-15 05:55:13,673 ----------------------------------------------------------------------------------------------------
2020-05-15 05:55:13,673 EPOCH 127 done: loss 1.1572 - lr 0.0250000
2020-05-15 05:55:13,673 BAD EPOCHS (no improvement): 0
2020-05-15 05:55:13,673 ----------------------------------------------------------------------------------------------------
2020-05-15 05:56:10,307 epoch 128 - iter 265/2650 - loss 1.13288624 - samples/sec: 149.80
2020-05-15 05:57:05,523 epoch 128 - iter 530/2650 - loss 1.13827297 - samples/sec: 153.67
2020-05-15 05:58:00,170 epoch 128 - iter 795/2650 - loss 1.14064888 - samples/sec: 155.27
2020-05-15 05:58:56,271 epoch 128 - iter 1060/2650 - loss 1.14089910 - samples/sec: 151.25
2020-05-15 05:59:52,971 epoch 128 - iter 1325/2650 - loss 1.14617499 - samples/sec: 149.64
2020-05-15 06:00:49,042 epoch 128 - iter 1590/2650 - loss 1.15794310 - samples/sec: 151.33
2020-05-15 06:01:44,933 epoch 128 - iter 1855/2650 - loss 1.15759244 - samples/sec: 151.82
2020-05-15 06:02:41,660 epoch 128 - iter 2120/2650 - loss 1.15931648 - samples/sec: 149.58
2020-05-15 06:03:38,001 epoch 128 - iter 2385/2650 - loss 1.15588531 - samples/sec: 150.60
2020-05-15 06:04:34,664 epoch 128 - iter 2650/2650 - loss 1.15712089 - samples/sec: 149.75
2020-05-15 06:04:34,678 ----------------------------------------------------------------------------------------------------
2020-05-15 06:04:34,678 EPOCH 128 done: loss 1.1571 - lr 0.0250000
2020-05-15 06:04:34,678 BAD EPOCHS (no improvement): 0
2020-05-15 06:04:34,678 ----------------------------------------------------------------------------------------------------
2020-05-15 06:05:31,363 epoch 129 - iter 265/2650 - loss 1.14289394 - samples/sec: 149.66
2020-05-15 06:06:28,370 epoch 129 - iter 530/2650 - loss 1.15984155 - samples/sec: 148.84
2020-05-15 06:07:24,557 epoch 129 - iter 795/2650 - loss 1.15503079 - samples/sec: 151.01
2020-05-15 06:08:19,226 epoch 129 - iter 1060/2650 - loss 1.14572665 - samples/sec: 155.21
2020-05-15 06:09:14,857 epoch 129 - iter 1325/2650 - loss 1.14672130 - samples/sec: 152.52
2020-05-15 06:10:10,362 epoch 129 - iter 1590/2650 - loss 1.14299229 - samples/sec: 152.87
2020-05-15 06:11:05,690 epoch 129 - iter 1855/2650 - loss 1.14433640 - samples/sec: 153.36
2020-05-15 06:12:02,221 epoch 129 - iter 2120/2650 - loss 1.14920119 - samples/sec: 150.09
2020-05-15 06:12:59,739 epoch 129 - iter 2385/2650 - loss 1.14995045 - samples/sec: 147.52
2020-05-15 06:13:56,729 epoch 129 - iter 2650/2650 - loss 1.15185888 - samples/sec: 148.89
2020-05-15 06:13:56,742 ----------------------------------------------------------------------------------------------------
2020-05-15 06:13:56,743 EPOCH 129 done: loss 1.1519 - lr 0.0250000
2020-05-15 06:13:56,743 BAD EPOCHS (no improvement): 0
2020-05-15 06:13:56,743 ----------------------------------------------------------------------------------------------------
2020-05-15 06:14:53,101 epoch 130 - iter 265/2650 - loss 1.14334187 - samples/sec: 150.53
2020-05-15 06:15:49,092 epoch 130 - iter 530/2650 - loss 1.14214660 - samples/sec: 151.54
2020-05-15 06:16:44,371 epoch 130 - iter 795/2650 - loss 1.14012250 - samples/sec: 153.50
2020-05-15 06:17:40,292 epoch 130 - iter 1060/2650 - loss 1.13556393 - samples/sec: 151.73
2020-05-15 06:18:38,464 epoch 130 - iter 1325/2650 - loss 1.14388937 - samples/sec: 145.86
2020-05-15 06:19:34,007 epoch 130 - iter 1590/2650 - loss 1.14908873 - samples/sec: 152.76
2020-05-15 06:20:28,851 epoch 130 - iter 1855/2650 - loss 1.14760571 - samples/sec: 154.71
2020-05-15 06:21:25,003 epoch 130 - iter 2120/2650 - loss 1.14841252 - samples/sec: 151.10
2020-05-15 06:22:20,358 epoch 130 - iter 2385/2650 - loss 1.14958354 - samples/sec: 153.28
2020-05-15 06:23:14,345 epoch 130 - iter 2650/2650 - loss 1.14817541 - samples/sec: 157.17
2020-05-15 06:23:14,358 ----------------------------------------------------------------------------------------------------
2020-05-15 06:23:14,358 EPOCH 130 done: loss 1.1482 - lr 0.0250000
2020-05-15 06:23:14,358 BAD EPOCHS (no improvement): 0
2020-05-15 06:23:14,359 ----------------------------------------------------------------------------------------------------
2020-05-15 06:24:09,006 epoch 131 - iter 265/2650 - loss 1.13527262 - samples/sec: 155.24
2020-05-15 06:25:04,576 epoch 131 - iter 530/2650 - loss 1.13252340 - samples/sec: 152.68
2020-05-15 06:25:59,515 epoch 131 - iter 795/2650 - loss 1.13240692 - samples/sec: 154.44
2020-05-15 06:26:55,392 epoch 131 - iter 1060/2650 - loss 1.13346164 - samples/sec: 151.85
2020-05-15 06:27:49,901 epoch 131 - iter 1325/2650 - loss 1.13603800 - samples/sec: 155.66
2020-05-15 06:28:45,364 epoch 131 - iter 1590/2650 - loss 1.14366769 - samples/sec: 152.98
2020-05-15 06:29:40,600 epoch 131 - iter 1855/2650 - loss 1.14742228 - samples/sec: 153.61
2020-05-15 06:30:35,802 epoch 131 - iter 2120/2650 - loss 1.14457745 - samples/sec: 153.70
2020-05-15 06:31:31,043 epoch 131 - iter 2385/2650 - loss 1.14857551 - samples/sec: 153.60
2020-05-15 06:32:26,769 epoch 131 - iter 2650/2650 - loss 1.15037049 - samples/sec: 152.26
2020-05-15 06:32:26,782 ----------------------------------------------------------------------------------------------------
2020-05-15 06:32:26,783 EPOCH 131 done: loss 1.1504 - lr 0.0250000
2020-05-15 06:32:26,783 BAD EPOCHS (no improvement): 1
2020-05-15 06:32:26,783 ----------------------------------------------------------------------------------------------------
2020-05-15 06:33:21,566 epoch 132 - iter 265/2650 - loss 1.09115087 - samples/sec: 154.85
2020-05-15 06:34:16,884 epoch 132 - iter 530/2650 - loss 1.11904626 - samples/sec: 153.38
2020-05-15 06:35:12,683 epoch 132 - iter 795/2650 - loss 1.12529563 - samples/sec: 152.06
2020-05-15 06:36:08,290 epoch 132 - iter 1060/2650 - loss 1.13385482 - samples/sec: 152.58
2020-05-15 06:37:02,181 epoch 132 - iter 1325/2650 - loss 1.12374809 - samples/sec: 157.44
2020-05-15 06:37:55,554 epoch 132 - iter 1590/2650 - loss 1.12742435 - samples/sec: 158.96
2020-05-15 06:38:50,122 epoch 132 - iter 1855/2650 - loss 1.13674552 - samples/sec: 155.49
2020-05-15 06:39:44,105 epoch 132 - iter 2120/2650 - loss 1.13768214 - samples/sec: 157.17
2020-05-15 06:40:37,435 epoch 132 - iter 2385/2650 - loss 1.13940011 - samples/sec: 159.10
2020-05-15 06:41:30,822 epoch 132 - iter 2650/2650 - loss 1.13906868 - samples/sec: 158.93
2020-05-15 06:41:30,834 ----------------------------------------------------------------------------------------------------
2020-05-15 06:41:30,834 EPOCH 132 done: loss 1.1391 - lr 0.0250000
2020-05-15 06:41:30,835 BAD EPOCHS (no improvement): 0
2020-05-15 06:41:30,835 ----------------------------------------------------------------------------------------------------
2020-05-15 06:42:23,764 epoch 133 - iter 265/2650 - loss 1.13192293 - samples/sec: 160.27
2020-05-15 06:43:17,309 epoch 133 - iter 530/2650 - loss 1.14261130 - samples/sec: 158.45
2020-05-15 06:44:13,227 epoch 133 - iter 795/2650 - loss 1.14699809 - samples/sec: 151.73
2020-05-15 06:45:07,193 epoch 133 - iter 1060/2650 - loss 1.15054761 - samples/sec: 157.22
2020-05-15 06:46:00,283 epoch 133 - iter 1325/2650 - loss 1.14463218 - samples/sec: 159.81
2020-05-15 06:46:54,469 epoch 133 - iter 1590/2650 - loss 1.14541231 - samples/sec: 156.58
2020-05-15 06:47:47,299 epoch 133 - iter 1855/2650 - loss 1.14088404 - samples/sec: 160.60
2020-05-15 06:48:40,860 epoch 133 - iter 2120/2650 - loss 1.13741127 - samples/sec: 158.41
2020-05-15 06:49:33,518 epoch 133 - iter 2385/2650 - loss 1.13798298 - samples/sec: 161.13
2020-05-15 06:50:25,498 epoch 133 - iter 2650/2650 - loss 1.13957862 - samples/sec: 163.23
2020-05-15 06:50:25,511 ----------------------------------------------------------------------------------------------------
2020-05-15 06:50:25,511 EPOCH 133 done: loss 1.1396 - lr 0.0250000
2020-05-15 06:50:25,511 BAD EPOCHS (no improvement): 1
2020-05-15 06:50:25,511 ----------------------------------------------------------------------------------------------------
2020-05-15 06:51:19,801 epoch 134 - iter 265/2650 - loss 1.15009424 - samples/sec: 156.26
2020-05-15 06:52:14,098 epoch 134 - iter 530/2650 - loss 1.14537230 - samples/sec: 156.26
2020-05-15 06:53:08,246 epoch 134 - iter 795/2650 - loss 1.14739436 - samples/sec: 156.69
2020-05-15 06:54:01,419 epoch 134 - iter 1060/2650 - loss 1.14232394 - samples/sec: 159.56
2020-05-15 06:54:54,232 epoch 134 - iter 1325/2650 - loss 1.14116905 - samples/sec: 160.65
2020-05-15 06:55:47,467 epoch 134 - iter 1590/2650 - loss 1.13778457 - samples/sec: 159.38
2020-05-15 06:56:41,153 epoch 134 - iter 1855/2650 - loss 1.13746189 - samples/sec: 158.04
2020-05-15 06:57:34,513 epoch 134 - iter 2120/2650 - loss 1.13492086 - samples/sec: 159.00
2020-05-15 06:58:27,956 epoch 134 - iter 2385/2650 - loss 1.13807256 - samples/sec: 158.76
2020-05-15 06:59:21,228 epoch 134 - iter 2650/2650 - loss 1.14045990 - samples/sec: 159.27
2020-05-15 06:59:21,241 ----------------------------------------------------------------------------------------------------
2020-05-15 06:59:21,241 EPOCH 134 done: loss 1.1405 - lr 0.0250000
2020-05-15 06:59:21,241 BAD EPOCHS (no improvement): 2
2020-05-15 06:59:21,241 ----------------------------------------------------------------------------------------------------
2020-05-15 07:00:14,294 epoch 135 - iter 265/2650 - loss 1.12120972 - samples/sec: 159.90
2020-05-15 07:01:08,414 epoch 135 - iter 530/2650 - loss 1.12917424 - samples/sec: 156.77
2020-05-15 07:02:01,707 epoch 135 - iter 795/2650 - loss 1.12691497 - samples/sec: 159.20
2020-05-15 07:02:56,368 epoch 135 - iter 1060/2650 - loss 1.12880980 - samples/sec: 155.22
2020-05-15 07:03:50,023 epoch 135 - iter 1325/2650 - loss 1.12568917 - samples/sec: 158.13
2020-05-15 07:04:43,191 epoch 135 - iter 1590/2650 - loss 1.12625225 - samples/sec: 159.59
2020-05-15 07:05:35,911 epoch 135 - iter 1855/2650 - loss 1.12774318 - samples/sec: 160.94
2020-05-15 07:06:28,713 epoch 135 - iter 2120/2650 - loss 1.12819380 - samples/sec: 160.69
2020-05-15 07:07:22,979 epoch 135 - iter 2385/2650 - loss 1.13219962 - samples/sec: 156.35
2020-05-15 07:08:18,979 epoch 135 - iter 2650/2650 - loss 1.13275370 - samples/sec: 151.52
2020-05-15 07:08:18,993 ----------------------------------------------------------------------------------------------------
2020-05-15 07:08:18,993 EPOCH 135 done: loss 1.1328 - lr 0.0250000
2020-05-15 07:08:18,993 BAD EPOCHS (no improvement): 0
2020-05-15 07:08:18,993 ----------------------------------------------------------------------------------------------------
2020-05-15 07:09:18,355 epoch 136 - iter 265/2650 - loss 1.13347443 - samples/sec: 142.91
2020-05-15 07:10:18,143 epoch 136 - iter 530/2650 - loss 1.12542815 - samples/sec: 141.92
2020-05-15 07:11:20,301 epoch 136 - iter 795/2650 - loss 1.13261624 - samples/sec: 136.50
2020-05-15 07:12:21,136 epoch 136 - iter 1060/2650 - loss 1.13064663 - samples/sec: 139.48
2020-05-15 07:13:23,367 epoch 136 - iter 1325/2650 - loss 1.13159980 - samples/sec: 136.35
2020-05-15 07:14:25,592 epoch 136 - iter 1590/2650 - loss 1.13354324 - samples/sec: 136.36
2020-05-15 07:15:25,190 epoch 136 - iter 1855/2650 - loss 1.13087872 - samples/sec: 142.37
2020-05-15 07:16:23,758 epoch 136 - iter 2120/2650 - loss 1.12866184 - samples/sec: 144.88
2020-05-15 07:17:22,288 epoch 136 - iter 2385/2650 - loss 1.12775232 - samples/sec: 144.97
2020-05-15 07:18:20,775 epoch 136 - iter 2650/2650 - loss 1.13255691 - samples/sec: 145.08
2020-05-15 07:18:20,790 ----------------------------------------------------------------------------------------------------
2020-05-15 07:18:20,790 EPOCH 136 done: loss 1.1326 - lr 0.0250000
2020-05-15 07:18:20,790 BAD EPOCHS (no improvement): 0
2020-05-15 07:18:20,790 ----------------------------------------------------------------------------------------------------
2020-05-15 07:19:19,442 epoch 137 - iter 265/2650 - loss 1.12233738 - samples/sec: 144.64
2020-05-15 07:20:18,450 epoch 137 - iter 530/2650 - loss 1.13152929 - samples/sec: 143.79
2020-05-15 07:21:17,391 epoch 137 - iter 795/2650 - loss 1.13144544 - samples/sec: 143.95
2020-05-15 07:22:16,152 epoch 137 - iter 1060/2650 - loss 1.12732127 - samples/sec: 144.40
2020-05-15 07:23:15,529 epoch 137 - iter 1325/2650 - loss 1.13326941 - samples/sec: 142.90
2020-05-15 07:24:12,542 epoch 137 - iter 1590/2650 - loss 1.13022279 - samples/sec: 148.82
2020-05-15 07:25:11,003 epoch 137 - iter 1855/2650 - loss 1.13554064 - samples/sec: 145.14
2020-05-15 07:26:08,902 epoch 137 - iter 2120/2650 - loss 1.13522058 - samples/sec: 146.54
2020-05-15 07:27:05,799 epoch 137 - iter 2385/2650 - loss 1.13420884 - samples/sec: 149.13
2020-05-15 07:28:02,230 epoch 137 - iter 2650/2650 - loss 1.13056282 - samples/sec: 150.36
2020-05-15 07:28:02,244 ----------------------------------------------------------------------------------------------------
2020-05-15 07:28:02,244 EPOCH 137 done: loss 1.1306 - lr 0.0250000
2020-05-15 07:28:02,244 BAD EPOCHS (no improvement): 0
2020-05-15 07:28:02,244 ----------------------------------------------------------------------------------------------------
2020-05-15 07:29:01,460 epoch 138 - iter 265/2650 - loss 1.14391435 - samples/sec: 143.26
2020-05-15 07:29:59,356 epoch 138 - iter 530/2650 - loss 1.13228546 - samples/sec: 146.55
2020-05-15 07:30:57,004 epoch 138 - iter 795/2650 - loss 1.13674193 - samples/sec: 147.19
2020-05-15 07:31:54,067 epoch 138 - iter 1060/2650 - loss 1.13903447 - samples/sec: 148.69
2020-05-15 07:32:51,888 epoch 138 - iter 1325/2650 - loss 1.13332607 - samples/sec: 146.74
2020-05-15 07:33:51,436 epoch 138 - iter 1590/2650 - loss 1.13038887 - samples/sec: 142.49
2020-05-15 07:34:47,079 epoch 138 - iter 1855/2650 - loss 1.12846948 - samples/sec: 152.49
2020-05-15 07:35:45,435 epoch 138 - iter 2120/2650 - loss 1.13359491 - samples/sec: 145.39
2020-05-15 07:36:43,244 epoch 138 - iter 2385/2650 - loss 1.13494248 - samples/sec: 146.77
2020-05-15 07:37:42,605 epoch 138 - iter 2650/2650 - loss 1.13557842 - samples/sec: 142.94
2020-05-15 07:37:42,619 ----------------------------------------------------------------------------------------------------
2020-05-15 07:37:42,619 EPOCH 138 done: loss 1.1356 - lr 0.0250000
2020-05-15 07:37:42,619 BAD EPOCHS (no improvement): 1
2020-05-15 07:37:42,619 ----------------------------------------------------------------------------------------------------
2020-05-15 07:38:43,383 epoch 139 - iter 265/2650 - loss 1.11572422 - samples/sec: 139.62
2020-05-15 07:39:41,368 epoch 139 - iter 530/2650 - loss 1.11956213 - samples/sec: 146.33
2020-05-15 07:40:41,034 epoch 139 - iter 795/2650 - loss 1.12260483 - samples/sec: 142.21
2020-05-15 07:41:40,818 epoch 139 - iter 1060/2650 - loss 1.13027241 - samples/sec: 141.93
2020-05-15 07:42:40,165 epoch 139 - iter 1325/2650 - loss 1.13646967 - samples/sec: 142.97
2020-05-15 07:43:38,871 epoch 139 - iter 1590/2650 - loss 1.13461921 - samples/sec: 144.54
2020-05-15 07:44:38,192 epoch 139 - iter 1855/2650 - loss 1.13368601 - samples/sec: 143.03
2020-05-15 07:45:36,580 epoch 139 - iter 2120/2650 - loss 1.13077466 - samples/sec: 145.32
2020-05-15 07:46:34,886 epoch 139 - iter 2385/2650 - loss 1.12869980 - samples/sec: 145.53
2020-05-15 07:47:32,841 epoch 139 - iter 2650/2650 - loss 1.12801903 - samples/sec: 146.41
2020-05-15 07:47:32,855 ----------------------------------------------------------------------------------------------------
2020-05-15 07:47:32,855 EPOCH 139 done: loss 1.1280 - lr 0.0250000
2020-05-15 07:47:32,855 BAD EPOCHS (no improvement): 0
2020-05-15 07:47:32,856 ----------------------------------------------------------------------------------------------------
2020-05-15 07:48:30,101 epoch 140 - iter 265/2650 - loss 1.09867765 - samples/sec: 148.20
2020-05-15 07:49:26,916 epoch 140 - iter 530/2650 - loss 1.10677853 - samples/sec: 149.34
2020-05-15 07:50:25,407 epoch 140 - iter 795/2650 - loss 1.10750494 - samples/sec: 145.06
2020-05-15 07:51:23,135 epoch 140 - iter 1060/2650 - loss 1.12079579 - samples/sec: 146.98
2020-05-15 07:52:20,695 epoch 140 - iter 1325/2650 - loss 1.12354456 - samples/sec: 147.41
2020-05-15 07:53:18,722 epoch 140 - iter 1590/2650 - loss 1.12078521 - samples/sec: 146.22
2020-05-15 07:54:15,807 epoch 140 - iter 1855/2650 - loss 1.12078250 - samples/sec: 148.64
2020-05-15 07:55:13,023 epoch 140 - iter 2120/2650 - loss 1.12431953 - samples/sec: 148.29
2020-05-15 07:56:11,175 epoch 140 - iter 2385/2650 - loss 1.12319016 - samples/sec: 145.91
2020-05-15 07:57:07,525 epoch 140 - iter 2650/2650 - loss 1.12195767 - samples/sec: 150.58
2020-05-15 07:57:07,539 ----------------------------------------------------------------------------------------------------
2020-05-15 07:57:07,539 EPOCH 140 done: loss 1.1220 - lr 0.0250000
2020-05-15 07:57:07,539 BAD EPOCHS (no improvement): 0
2020-05-15 07:57:07,539 ----------------------------------------------------------------------------------------------------
2020-05-15 07:58:04,552 epoch 141 - iter 265/2650 - loss 1.12223759 - samples/sec: 148.80
2020-05-15 07:59:02,367 epoch 141 - iter 530/2650 - loss 1.11305119 - samples/sec: 146.76
2020-05-15 07:59:59,571 epoch 141 - iter 795/2650 - loss 1.10904128 - samples/sec: 148.33
2020-05-15 08:00:53,910 epoch 141 - iter 1060/2650 - loss 1.10504833 - samples/sec: 156.15
2020-05-15 08:01:51,530 epoch 141 - iter 1325/2650 - loss 1.11364859 - samples/sec: 147.26
2020-05-15 08:02:50,454 epoch 141 - iter 1590/2650 - loss 1.11737791 - samples/sec: 144.00
2020-05-15 08:03:47,868 epoch 141 - iter 1855/2650 - loss 1.11835919 - samples/sec: 147.79
2020-05-15 08:04:45,695 epoch 141 - iter 2120/2650 - loss 1.12455465 - samples/sec: 146.73
2020-05-15 08:05:42,797 epoch 141 - iter 2385/2650 - loss 1.12455623 - samples/sec: 148.59
2020-05-15 08:06:40,479 epoch 141 - iter 2650/2650 - loss 1.12471222 - samples/sec: 147.10
2020-05-15 08:06:40,493 ----------------------------------------------------------------------------------------------------
2020-05-15 08:06:40,493 EPOCH 141 done: loss 1.1247 - lr 0.0250000
2020-05-15 08:06:40,493 BAD EPOCHS (no improvement): 1
2020-05-15 08:06:40,493 ----------------------------------------------------------------------------------------------------
2020-05-15 08:07:38,323 epoch 142 - iter 265/2650 - loss 1.10410021 - samples/sec: 146.70
2020-05-15 08:08:35,651 epoch 142 - iter 530/2650 - loss 1.11072212 - samples/sec: 148.01
2020-05-15 08:09:32,363 epoch 142 - iter 795/2650 - loss 1.11494929 - samples/sec: 149.62
2020-05-15 08:10:29,894 epoch 142 - iter 1060/2650 - loss 1.11388055 - samples/sec: 147.49
2020-05-15 08:11:25,683 epoch 142 - iter 1325/2650 - loss 1.11937668 - samples/sec: 152.09
2020-05-15 08:12:23,228 epoch 142 - iter 1590/2650 - loss 1.12342749 - samples/sec: 147.45
2020-05-15 08:13:20,844 epoch 142 - iter 1855/2650 - loss 1.12522985 - samples/sec: 147.27
2020-05-15 08:14:18,138 epoch 142 - iter 2120/2650 - loss 1.12304865 - samples/sec: 148.09
2020-05-15 08:15:16,062 epoch 142 - iter 2385/2650 - loss 1.12211344 - samples/sec: 146.48
2020-05-15 08:16:13,616 epoch 142 - iter 2650/2650 - loss 1.12125553 - samples/sec: 147.43
2020-05-15 08:16:13,630 ----------------------------------------------------------------------------------------------------
2020-05-15 08:16:13,630 EPOCH 142 done: loss 1.1213 - lr 0.0250000
2020-05-15 08:16:13,630 BAD EPOCHS (no improvement): 0
2020-05-15 08:16:13,630 ----------------------------------------------------------------------------------------------------
2020-05-15 08:17:11,621 epoch 143 - iter 265/2650 - loss 1.08745585 - samples/sec: 146.29
2020-05-15 08:18:09,130 epoch 143 - iter 530/2650 - loss 1.11781388 - samples/sec: 147.54
2020-05-15 08:19:05,964 epoch 143 - iter 795/2650 - loss 1.12320268 - samples/sec: 149.30
2020-05-15 08:20:04,024 epoch 143 - iter 1060/2650 - loss 1.12391858 - samples/sec: 146.14
2020-05-15 08:21:00,477 epoch 143 - iter 1325/2650 - loss 1.12009074 - samples/sec: 150.30
2020-05-15 08:21:56,974 epoch 143 - iter 1590/2650 - loss 1.12193996 - samples/sec: 150.18
2020-05-15 08:22:52,843 epoch 143 - iter 1855/2650 - loss 1.11598652 - samples/sec: 151.87
2020-05-15 08:23:48,711 epoch 143 - iter 2120/2650 - loss 1.11883440 - samples/sec: 151.88
2020-05-15 08:24:45,556 epoch 143 - iter 2385/2650 - loss 1.11757953 - samples/sec: 149.27
2020-05-15 08:25:42,690 epoch 143 - iter 2650/2650 - loss 1.11886984 - samples/sec: 148.51
2020-05-15 08:25:42,704 ----------------------------------------------------------------------------------------------------
2020-05-15 08:25:42,704 EPOCH 143 done: loss 1.1189 - lr 0.0250000
2020-05-15 08:25:42,704 BAD EPOCHS (no improvement): 0
2020-05-15 08:25:42,704 ----------------------------------------------------------------------------------------------------
2020-05-15 08:26:38,989 epoch 144 - iter 265/2650 - loss 1.09777993 - samples/sec: 150.73
2020-05-15 08:27:36,101 epoch 144 - iter 530/2650 - loss 1.12518584 - samples/sec: 148.56
2020-05-15 08:28:32,926 epoch 144 - iter 795/2650 - loss 1.10938091 - samples/sec: 149.32
2020-05-15 08:29:29,665 epoch 144 - iter 1060/2650 - loss 1.11564911 - samples/sec: 149.54
2020-05-15 08:30:26,309 epoch 144 - iter 1325/2650 - loss 1.12107265 - samples/sec: 149.80
2020-05-15 08:31:22,890 epoch 144 - iter 1590/2650 - loss 1.11527753 - samples/sec: 149.96
2020-05-15 08:32:20,843 epoch 144 - iter 1855/2650 - loss 1.11737683 - samples/sec: 146.41
2020-05-15 08:33:17,259 epoch 144 - iter 2120/2650 - loss 1.11866902 - samples/sec: 150.40
2020-05-15 08:34:15,171 epoch 144 - iter 2385/2650 - loss 1.12188216 - samples/sec: 146.51
2020-05-15 08:35:12,179 epoch 144 - iter 2650/2650 - loss 1.12102430 - samples/sec: 148.84
2020-05-15 08:35:12,193 ----------------------------------------------------------------------------------------------------
2020-05-15 08:35:12,193 EPOCH 144 done: loss 1.1210 - lr 0.0250000
2020-05-15 08:35:12,193 BAD EPOCHS (no improvement): 1
2020-05-15 08:35:12,193 ----------------------------------------------------------------------------------------------------
2020-05-15 08:36:08,981 epoch 145 - iter 265/2650 - loss 1.09198460 - samples/sec: 149.39
2020-05-15 08:37:06,154 epoch 145 - iter 530/2650 - loss 1.11004738 - samples/sec: 148.41
2020-05-15 08:38:03,814 epoch 145 - iter 795/2650 - loss 1.12147886 - samples/sec: 147.16
2020-05-15 08:39:01,447 epoch 145 - iter 1060/2650 - loss 1.12103539 - samples/sec: 147.22
2020-05-15 08:39:58,514 epoch 145 - iter 1325/2650 - loss 1.12242310 - samples/sec: 148.68
2020-05-15 08:40:53,797 epoch 145 - iter 1590/2650 - loss 1.12371776 - samples/sec: 153.49
2020-05-15 08:41:51,620 epoch 145 - iter 1855/2650 - loss 1.12186915 - samples/sec: 146.74
2020-05-15 08:42:49,420 epoch 145 - iter 2120/2650 - loss 1.11953807 - samples/sec: 146.80
2020-05-15 08:43:47,105 epoch 145 - iter 2385/2650 - loss 1.11725220 - samples/sec: 147.09
2020-05-15 08:44:43,856 epoch 145 - iter 2650/2650 - loss 1.11874126 - samples/sec: 149.51
2020-05-15 08:44:43,870 ----------------------------------------------------------------------------------------------------
2020-05-15 08:44:43,870 EPOCH 145 done: loss 1.1187 - lr 0.0250000
2020-05-15 08:44:43,870 BAD EPOCHS (no improvement): 0
2020-05-15 08:44:43,870 ----------------------------------------------------------------------------------------------------
2020-05-15 08:45:39,650 epoch 146 - iter 265/2650 - loss 1.10166054 - samples/sec: 152.09
2020-05-15 08:46:37,174 epoch 146 - iter 530/2650 - loss 1.11987925 - samples/sec: 147.50
2020-05-15 08:47:35,522 epoch 146 - iter 795/2650 - loss 1.13700034 - samples/sec: 145.42
2020-05-15 08:48:31,942 epoch 146 - iter 1060/2650 - loss 1.13259423 - samples/sec: 150.39
2020-05-15 08:49:27,644 epoch 146 - iter 1325/2650 - loss 1.12115795 - samples/sec: 152.33
2020-05-15 08:50:25,619 epoch 146 - iter 1590/2650 - loss 1.11720133 - samples/sec: 146.35
2020-05-15 08:51:21,680 epoch 146 - iter 1855/2650 - loss 1.11591491 - samples/sec: 151.35
2020-05-15 08:52:17,466 epoch 146 - iter 2120/2650 - loss 1.11259588 - samples/sec: 152.10
2020-05-15 08:53:14,725 epoch 146 - iter 2385/2650 - loss 1.11668467 - samples/sec: 148.18
2020-05-15 08:54:12,108 epoch 146 - iter 2650/2650 - loss 1.12032614 - samples/sec: 147.87
2020-05-15 08:54:12,122 ----------------------------------------------------------------------------------------------------
2020-05-15 08:54:12,122 EPOCH 146 done: loss 1.1203 - lr 0.0250000
2020-05-15 08:54:12,122 BAD EPOCHS (no improvement): 1
2020-05-15 08:54:12,122 ----------------------------------------------------------------------------------------------------
2020-05-15 08:55:09,657 epoch 147 - iter 265/2650 - loss 1.09727920 - samples/sec: 147.45
2020-05-15 08:56:08,524 epoch 147 - iter 530/2650 - loss 1.11654729 - samples/sec: 144.14
2020-05-15 08:57:05,870 epoch 147 - iter 795/2650 - loss 1.12521676 - samples/sec: 147.96
2020-05-15 08:58:02,696 epoch 147 - iter 1060/2650 - loss 1.13719422 - samples/sec: 149.32
2020-05-15 08:58:59,703 epoch 147 - iter 1325/2650 - loss 1.13722897 - samples/sec: 148.84
2020-05-15 08:59:56,839 epoch 147 - iter 1590/2650 - loss 1.13004573 - samples/sec: 148.50
2020-05-15 09:00:54,657 epoch 147 - iter 1855/2650 - loss 1.13133078 - samples/sec: 146.75
2020-05-15 09:01:52,576 epoch 147 - iter 2120/2650 - loss 1.12976097 - samples/sec: 146.50
2020-05-15 09:02:48,646 epoch 147 - iter 2385/2650 - loss 1.12317332 - samples/sec: 151.33
2020-05-15 09:03:44,474 epoch 147 - iter 2650/2650 - loss 1.12011975 - samples/sec: 151.99
2020-05-15 09:03:44,488 ----------------------------------------------------------------------------------------------------
2020-05-15 09:03:44,488 EPOCH 147 done: loss 1.1201 - lr 0.0250000
2020-05-15 09:03:44,488 BAD EPOCHS (no improvement): 2
2020-05-15 09:03:44,488 ----------------------------------------------------------------------------------------------------
2020-05-15 09:04:41,274 epoch 148 - iter 265/2650 - loss 1.11300198 - samples/sec: 149.40
2020-05-15 09:05:37,704 epoch 148 - iter 530/2650 - loss 1.09352788 - samples/sec: 150.36
2020-05-15 09:06:35,683 epoch 148 - iter 795/2650 - loss 1.09943430 - samples/sec: 146.34
2020-05-15 09:07:33,071 epoch 148 - iter 1060/2650 - loss 1.09034086 - samples/sec: 147.85
2020-05-15 09:08:29,457 epoch 148 - iter 1325/2650 - loss 1.09141462 - samples/sec: 150.48
2020-05-15 09:09:26,476 epoch 148 - iter 1590/2650 - loss 1.09332234 - samples/sec: 148.81
2020-05-15 09:10:25,232 epoch 148 - iter 1855/2650 - loss 1.10228135 - samples/sec: 144.41
2020-05-15 09:11:24,251 epoch 148 - iter 2120/2650 - loss 1.10381020 - samples/sec: 143.76
2020-05-15 09:12:22,975 epoch 148 - iter 2385/2650 - loss 1.10479989 - samples/sec: 144.49
2020-05-15 09:13:21,368 epoch 148 - iter 2650/2650 - loss 1.10560372 - samples/sec: 145.31
2020-05-15 09:13:21,382 ----------------------------------------------------------------------------------------------------
2020-05-15 09:13:21,382 EPOCH 148 done: loss 1.1056 - lr 0.0250000
2020-05-15 09:13:21,382 BAD EPOCHS (no improvement): 0
2020-05-15 09:13:21,382 ----------------------------------------------------------------------------------------------------
2020-05-15 09:14:19,695 epoch 149 - iter 265/2650 - loss 1.09939393 - samples/sec: 145.48
2020-05-15 09:15:16,190 epoch 149 - iter 530/2650 - loss 1.10912532 - samples/sec: 150.19
2020-05-15 09:16:12,656 epoch 149 - iter 795/2650 - loss 1.10797456 - samples/sec: 150.27
2020-05-15 09:17:09,087 epoch 149 - iter 1060/2650 - loss 1.10422904 - samples/sec: 150.36
2020-05-15 09:18:07,191 epoch 149 - iter 1325/2650 - loss 1.10668785 - samples/sec: 146.03
2020-05-15 09:19:05,075 epoch 149 - iter 1590/2650 - loss 1.10242821 - samples/sec: 146.59
2020-05-15 09:20:02,516 epoch 149 - iter 1855/2650 - loss 1.10462078 - samples/sec: 147.72
2020-05-15 09:20:59,131 epoch 149 - iter 2120/2650 - loss 1.10603073 - samples/sec: 149.87
2020-05-15 09:21:56,510 epoch 149 - iter 2385/2650 - loss 1.10620460 - samples/sec: 147.87
2020-05-15 09:22:53,921 epoch 149 - iter 2650/2650 - loss 1.10729294 - samples/sec: 147.80
2020-05-15 09:22:53,935 ----------------------------------------------------------------------------------------------------
2020-05-15 09:22:53,935 EPOCH 149 done: loss 1.1073 - lr 0.0250000
2020-05-15 09:22:53,935 BAD EPOCHS (no improvement): 1
2020-05-15 09:22:53,935 ----------------------------------------------------------------------------------------------------
2020-05-15 09:23:52,311 epoch 150 - iter 265/2650 - loss 1.09596967 - samples/sec: 145.33
2020-05-15 09:24:50,047 epoch 150 - iter 530/2650 - loss 1.09667019 - samples/sec: 146.96
2020-05-15 09:25:47,752 epoch 150 - iter 795/2650 - loss 1.09218561 - samples/sec: 147.04
2020-05-15 09:26:45,036 epoch 150 - iter 1060/2650 - loss 1.09124043 - samples/sec: 148.12
2020-05-15 09:27:43,040 epoch 150 - iter 1325/2650 - loss 1.09422937 - samples/sec: 146.28
2020-05-15 09:28:41,603 epoch 150 - iter 1590/2650 - loss 1.10319492 - samples/sec: 144.89
2020-05-15 09:29:38,655 epoch 150 - iter 1855/2650 - loss 1.10222125 - samples/sec: 148.73
2020-05-15 09:30:36,311 epoch 150 - iter 2120/2650 - loss 1.10484648 - samples/sec: 147.16
2020-05-15 09:31:40,751 epoch 150 - iter 2385/2650 - loss 1.10506264 - samples/sec: 131.66
2020-05-15 09:32:35,785 epoch 150 - iter 2650/2650 - loss 1.10754475 - samples/sec: 154.18
2020-05-15 09:32:35,799 ----------------------------------------------------------------------------------------------------
2020-05-15 09:32:35,799 EPOCH 150 done: loss 1.1075 - lr 0.0250000
2020-05-15 09:32:35,799 BAD EPOCHS (no improvement): 2
2020-05-15 09:32:35,926 ----------------------------------------------------------------------------------------------------
2020-05-15 09:32:35,926 Testing using best model ...
2020-05-15 09:33:08,459 0.9810 0.9810 0.9810
2020-05-15 09:33:08,459
MICRO_AVG: acc 0.9810 - f1-score 0.9810
MACRO_AVG: acc 0.9471 - f1-score 0.9471
$ tp: 173 - fp: 0 - fn: 0 - tn: 173 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000
'' tp: 980 - fp: 2 - fn: 3 - tn: 977 - precision: 0.9980 - recall: 0.9969 - accuracy: 0.9975 - f1-score: 0.9975
, tp: 7459 - fp: 22 - fn: 40 - tn: 7466 - precision: 0.9971 - recall: 0.9947 - accuracy: 0.9959 - f1-score: 0.9959
-LRB- tp: 197 - fp: 0 - fn: 0 - tn: 197 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000
-RRB- tp: 196 - fp: 0 - fn: 0 - tn: 196 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000
. tp: 8896 - fp: 27 - fn: 16 - tn: 8893 - precision: 0.9970 - recall: 0.9982 - accuracy: 0.9976 - f1-score: 0.9976
: tp: 492 - fp: 54 - fn: 40 - tn: 494 - precision: 0.9011 - recall: 0.9248 - accuracy: 0.9130 - f1-score: 0.9128
ADD tp: 17 - fp: 1 - fn: 4 - tn: 17 - precision: 0.9444 - recall: 0.8095 - accuracy: 0.8718 - f1-score: 0.8718
AFX tp: 2 - fp: 1 - fn: 1 - tn: 2 - precision: 0.6667 - recall: 0.6667 - accuracy: 0.6667 - f1-score: 0.6667
CC tp: 5075 - fp: 35 - fn: 51 - tn: 5075 - precision: 0.9932 - recall: 0.9901 - accuracy: 0.9916 - f1-score: 0.9916
CD tp: 3013 - fp: 50 - fn: 34 - tn: 3011 - precision: 0.9837 - recall: 0.9888 - accuracy: 0.9862 - f1-score: 0.9863
DT tp: 14703 - fp: 70 - fn: 80 - tn: 14705 - precision: 0.9953 - recall: 0.9946 - accuracy: 0.9949 - f1-score: 0.9949
EX tp: 306 - fp: 2 - fn: 2 - tn: 305 - precision: 0.9935 - recall: 0.9935 - accuracy: 0.9935 - f1-score: 0.9935
FW tp: 68 - fp: 6 - fn: 29 - tn: 68 - precision: 0.9189 - recall: 0.7010 - accuracy: 0.7953 - f1-score: 0.7953
HYPH tp: 1067 - fp: 8 - fn: 7 - tn: 1069 - precision: 0.9926 - recall: 0.9935 - accuracy: 0.9930 - f1-score: 0.9930
IN tp: 17945 - fp: 206 - fn: 149 - tn: 17936 - precision: 0.9887 - recall: 0.9918 - accuracy: 0.9902 - f1-score: 0.9902
JJ tp: 9189 - fp: 393 - fn: 531 - tn: 9189 - precision: 0.9590 - recall: 0.9454 - accuracy: 0.9521 - f1-score: 0.9521
JJR tp: 453 - fp: 29 - fn: 15 - tn: 453 - precision: 0.9398 - recall: 0.9679 - accuracy: 0.9537 - f1-score: 0.9537
JJS tp: 218 - fp: 21 - fn: 11 - tn: 218 - precision: 0.9121 - recall: 0.9520 - accuracy: 0.9316 - f1-score: 0.9316
LS tp: 16 - fp: 0 - fn: 0 - tn: 16 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000
MD tp: 1995 - fp: 3 - fn: 6 - tn: 1995 - precision: 0.9985 - recall: 0.9970 - accuracy: 0.9977 - f1-score: 0.9977
NFP tp: 49 - fp: 7 - fn: 11 - tn: 49 - precision: 0.8750 - recall: 0.8167 - accuracy: 0.8448 - f1-score: 0.8448
NN tp: 20642 - fp: 427 - fn: 569 - tn: 20647 - precision: 0.9797 - recall: 0.9732 - accuracy: 0.9764 - f1-score: 0.9764
NNP tp: 12366 - fp: 338 - fn: 328 - tn: 12362 - precision: 0.9734 - recall: 0.9742 - accuracy: 0.9738 - f1-score: 0.9738
NNPS tp: 388 - fp: 129 - fn: 70 - tn: 389 - precision: 0.7505 - recall: 0.8472 - accuracy: 0.7961 - f1-score: 0.7959
NNS tp: 8276 - fp: 109 - fn: 85 - tn: 8273 - precision: 0.9870 - recall: 0.9898 - accuracy: 0.9884 - f1-score: 0.9884
PDT tp: 154 - fp: 17 - fn: 12 - tn: 154 - precision: 0.9006 - recall: 0.9277 - accuracy: 0.9139 - f1-score: 0.9139
POS tp: 1039 - fp: 3 - fn: 6 - tn: 1038 - precision: 0.9971 - recall: 0.9943 - accuracy: 0.9957 - f1-score: 0.9957
PRP tp: 8052 - fp: 15 - fn: 17 - tn: 8050 - precision: 0.9981 - recall: 0.9979 - accuracy: 0.9980 - f1-score: 0.9980
PRP$ tp: 1931 - fp: 8 - fn: 4 - tn: 1931 - precision: 0.9959 - recall: 0.9979 - accuracy: 0.9969 - f1-score: 0.9969
RB tp: 7680 - fp: 251 - fn: 333 - tn: 7681 - precision: 0.9684 - recall: 0.9584 - accuracy: 0.9634 - f1-score: 0.9634
RBR tp: 194 - fp: 24 - fn: 30 - tn: 193 - precision: 0.8899 - recall: 0.8661 - accuracy: 0.8776 - f1-score: 0.8778
RBS tp: 96 - fp: 11 - fn: 17 - tn: 95 - precision: 0.8972 - recall: 0.8496 - accuracy: 0.8721 - f1-score: 0.8727
RP tp: 629 - fp: 105 - fn: 79 - tn: 626 - precision: 0.8569 - recall: 0.8884 - accuracy: 0.8721 - f1-score: 0.8724
SYM tp: 30 - fp: 3 - fn: 0 - tn: 30 - precision: 0.9091 - recall: 1.0000 - accuracy: 0.9524 - f1-score: 0.9524
TO tp: 2508 - fp: 18 - fn: 12 - tn: 2508 - precision: 0.9929 - recall: 0.9952 - accuracy: 0.9941 - f1-score: 0.9941
UH tp: 1562 - fp: 39 - fn: 45 - tn: 1564 - precision: 0.9756 - recall: 0.9720 - accuracy: 0.9738 - f1-score: 0.9738
VB tp: 5761 - fp: 110 - fn: 113 - tn: 5759 - precision: 0.9813 - recall: 0.9808 - accuracy: 0.9810 - f1-score: 0.9810
VBD tp: 5326 - fp: 100 - fn: 78 - tn: 5329 - precision: 0.9816 - recall: 0.9856 - accuracy: 0.9836 - f1-score: 0.9836
VBG tp: 2777 - fp: 118 - fn: 50 - tn: 2777 - precision: 0.9592 - recall: 0.9823 - accuracy: 0.9706 - f1-score: 0.9706
VBN tp: 3242 - fp: 265 - fn: 143 - tn: 3247 - precision: 0.9244 - recall: 0.9578 - accuracy: 0.9408 - f1-score: 0.9408
VBP tp: 3854 - fp: 103 - fn: 102 - tn: 3852 - precision: 0.9740 - recall: 0.9742 - accuracy: 0.9741 - f1-score: 0.9741
VBZ tp: 4080 - fp: 24 - fn: 26 - tn: 4080 - precision: 0.9942 - recall: 0.9937 - accuracy: 0.9939 - f1-score: 0.9939
WDT tp: 772 - fp: 51 - fn: 38 - tn: 781 - precision: 0.9380 - recall: 0.9531 - accuracy: 0.9458 - f1-score: 0.9455
WP tp: 794 - fp: 8 - fn: 9 - tn: 793 - precision: 0.9900 - recall: 0.9888 - accuracy: 0.9894 - f1-score: 0.9894
WP$ tp: 38 - fp: 0 - fn: 0 - tn: 38 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000
WRB tp: 707 - fp: 0 - fn: 9 - tn: 707 - precision: 1.0000 - recall: 0.9874 - accuracy: 0.9937 - f1-score: 0.9937
XX tp: 18 - fp: 7 - fn: 14 - tn: 18 - precision: 0.7200 - recall: 0.5625 - accuracy: 0.6316 - f1-score: 0.6316
`` tp: 927 - fp: 7 - fn: 6 - tn: 928 - precision: 0.9925 - recall: 0.9936 - accuracy: 0.9930 - f1-score: 0.9930
2020-05-15 09:33:08,459 ----------------------------------------------------------------------------------------------------