2020-05-14 20:23:32,474 ----------------------------------------------------------------------------------------------------
2020-05-14 20:23:32,475 Model: "SequenceTagger(
  (embeddings): StackedEmbeddings(
    (list_embedding_0): FlairEmbeddings(
      (lm): LanguageModel(
        (drop): Dropout(p=0.05, inplace=False)
        (encoder): Embedding(300, 100)
        (rnn): LSTM(100, 2048)
        (decoder): Linear(in_features=2048, out_features=300, bias=True)
      )
    )
    (list_embedding_1): FlairEmbeddings(
      (lm): LanguageModel(
        (drop): Dropout(p=0.05, inplace=False)
        (encoder): Embedding(300, 100)
        (rnn): LSTM(100, 2048)
        (decoder): Linear(in_features=2048, out_features=300, bias=True)
      )
    )
  )
  (word_dropout): WordDropout(p=0.05)
  (locked_dropout): LockedDropout(p=0.5)
  (embedding2nn): Linear(in_features=4096, out_features=4096, bias=True)
  (rnn): LSTM(4096, 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 20:23:32,475 ----------------------------------------------------------------------------------------------------
2020-05-14 20:23:32,475 Corpus: "Corpus: 75187 train + 9603 dev + 9479 test sentences"
2020-05-14 20:23:32,475 ----------------------------------------------------------------------------------------------------
2020-05-14 20:23:32,475 Parameters:
2020-05-14 20:23:32,475  - learning_rate: "0.1"
2020-05-14 20:23:32,475  - mini_batch_size: "32"
2020-05-14 20:23:32,475  - patience: "3"
2020-05-14 20:23:32,475  - anneal_factor: "0.5"
2020-05-14 20:23:32,475  - max_epochs: "150"
2020-05-14 20:23:32,475  - shuffle: "True"
2020-05-14 20:23:32,475  - train_with_dev: "True"
2020-05-14 20:23:32,475  - batch_growth_annealing: "False"
2020-05-14 20:23:32,475 ----------------------------------------------------------------------------------------------------
2020-05-14 20:23:32,475 Model training base path: "resources/taggers/release-pos-0"
2020-05-14 20:23:32,476 ----------------------------------------------------------------------------------------------------
2020-05-14 20:23:32,476 Device: cuda:0
2020-05-14 20:23:32,476 ----------------------------------------------------------------------------------------------------
2020-05-14 20:23:32,476 Embeddings storage mode: cpu
2020-05-14 20:23:32,476 ----------------------------------------------------------------------------------------------------
2020-05-14 20:26:20,841 epoch 1 - iter 265/2650 - loss 13.02052972 - samples/sec: 50.37
2020-05-14 20:29:11,509 epoch 1 - iter 530/2650 - loss 8.92310954 - samples/sec: 49.70
2020-05-14 20:31:57,386 epoch 1 - iter 795/2650 - loss 7.30278759 - samples/sec: 51.13
2020-05-14 20:34:56,173 epoch 1 - iter 1060/2650 - loss 6.40304186 - samples/sec: 47.44
2020-05-14 20:37:45,543 epoch 1 - iter 1325/2650 - loss 5.82038741 - samples/sec: 50.08
2020-05-14 20:40:43,484 epoch 1 - iter 1590/2650 - loss 5.40234566 - samples/sec: 47.67
2020-05-14 20:43:32,036 epoch 1 - iter 1855/2650 - loss 5.08739033 - samples/sec: 50.32
2020-05-14 20:46:25,625 epoch 1 - iter 2120/2650 - loss 4.83695790 - samples/sec: 48.86
2020-05-14 20:49:17,774 epoch 1 - iter 2385/2650 - loss 4.61988489 - samples/sec: 49.27
2020-05-14 20:52:08,338 epoch 1 - iter 2650/2650 - loss 4.44016123 - samples/sec: 49.73
2020-05-14 20:52:08,351 ----------------------------------------------------------------------------------------------------
2020-05-14 20:52:08,351 EPOCH 1 done: loss 4.4402 - lr 0.1000000
2020-05-14 20:52:08,351 BAD EPOCHS (no improvement): 0
2020-05-14 20:52:08,352 ----------------------------------------------------------------------------------------------------
2020-05-14 20:53:13,316 epoch 2 - iter 265/2650 - loss 2.73849648 - samples/sec: 130.58
2020-05-14 20:54:18,965 epoch 2 - iter 530/2650 - loss 2.70384986 - samples/sec: 129.24
2020-05-14 20:55:23,511 epoch 2 - iter 795/2650 - loss 2.65780302 - samples/sec: 131.45
2020-05-14 20:56:28,437 epoch 2 - iter 1060/2650 - loss 2.62725774 - samples/sec: 130.68
2020-05-14 20:57:32,842 epoch 2 - iter 1325/2650 - loss 2.59947713 - samples/sec: 131.73
2020-05-14 20:58:38,875 epoch 2 - iter 1590/2650 - loss 2.59384926 - samples/sec: 128.48
2020-05-14 20:59:43,339 epoch 2 - iter 1855/2650 - loss 2.56656036 - samples/sec: 131.61
2020-05-14 21:00:46,635 epoch 2 - iter 2120/2650 - loss 2.54394104 - samples/sec: 134.04
2020-05-14 21:01:51,438 epoch 2 - iter 2385/2650 - loss 2.52810287 - samples/sec: 130.92
2020-05-14 21:02:54,604 epoch 2 - iter 2650/2650 - loss 2.50813349 - samples/sec: 134.32
2020-05-14 21:02:54,617 ----------------------------------------------------------------------------------------------------
2020-05-14 21:02:54,618 EPOCH 2 done: loss 2.5081 - lr 0.1000000
2020-05-14 21:02:54,618 BAD EPOCHS (no improvement): 0
2020-05-14 21:02:54,618 ----------------------------------------------------------------------------------------------------
2020-05-14 21:03:59,060 epoch 3 - iter 265/2650 - loss 2.23940536 - samples/sec: 131.64
2020-05-14 21:05:03,495 epoch 3 - iter 530/2650 - loss 2.24230559 - samples/sec: 131.67
2020-05-14 21:06:07,811 epoch 3 - iter 795/2650 - loss 2.21878995 - samples/sec: 131.92
2020-05-14 21:07:12,307 epoch 3 - iter 1060/2650 - loss 2.21887108 - samples/sec: 131.55
2020-05-14 21:08:18,202 epoch 3 - iter 1325/2650 - loss 2.21222497 - samples/sec: 128.76
2020-05-14 21:09:23,734 epoch 3 - iter 1590/2650 - loss 2.20131616 - samples/sec: 129.47
2020-05-14 21:10:28,019 epoch 3 - iter 1855/2650 - loss 2.18768935 - samples/sec: 131.98
2020-05-14 21:11:32,273 epoch 3 - iter 2120/2650 - loss 2.17968619 - samples/sec: 132.04
2020-05-14 21:12:37,092 epoch 3 - iter 2385/2650 - loss 2.16939001 - samples/sec: 130.89
2020-05-14 21:13:41,281 epoch 3 - iter 2650/2650 - loss 2.15833398 - samples/sec: 132.18
2020-05-14 21:13:41,295 ----------------------------------------------------------------------------------------------------
2020-05-14 21:13:41,295 EPOCH 3 done: loss 2.1583 - lr 0.1000000
2020-05-14 21:13:41,295 BAD EPOCHS (no improvement): 0
2020-05-14 21:13:41,295 ----------------------------------------------------------------------------------------------------
2020-05-14 21:14:45,075 epoch 4 - iter 265/2650 - loss 1.96129512 - samples/sec: 133.01
2020-05-14 21:15:50,626 epoch 4 - iter 530/2650 - loss 2.00438248 - samples/sec: 129.43
2020-05-14 21:16:55,420 epoch 4 - iter 795/2650 - loss 2.00738693 - samples/sec: 130.94
2020-05-14 21:18:00,919 epoch 4 - iter 1060/2650 - loss 1.99801412 - samples/sec: 129.53
2020-05-14 21:19:07,190 epoch 4 - iter 1325/2650 - loss 1.99898937 - samples/sec: 128.02
2020-05-14 21:20:10,797 epoch 4 - iter 1590/2650 - loss 1.98602251 - samples/sec: 133.39
2020-05-14 21:21:15,871 epoch 4 - iter 1855/2650 - loss 1.98605352 - samples/sec: 130.38
2020-05-14 21:22:22,456 epoch 4 - iter 2120/2650 - loss 1.98423817 - samples/sec: 127.42
2020-05-14 21:23:26,737 epoch 4 - iter 2385/2650 - loss 1.98226707 - samples/sec: 131.99
2020-05-14 21:24:30,219 epoch 4 - iter 2650/2650 - loss 1.98264791 - samples/sec: 133.65
2020-05-14 21:24:30,233 ----------------------------------------------------------------------------------------------------
2020-05-14 21:24:30,234 EPOCH 4 done: loss 1.9826 - lr 0.1000000
2020-05-14 21:24:30,234 BAD EPOCHS (no improvement): 0
2020-05-14 21:24:30,234 ----------------------------------------------------------------------------------------------------
2020-05-14 21:25:34,700 epoch 5 - iter 265/2650 - loss 1.82638199 - samples/sec: 131.59
2020-05-14 21:26:37,783 epoch 5 - iter 530/2650 - loss 1.83484826 - samples/sec: 134.49
2020-05-14 21:27:41,445 epoch 5 - iter 795/2650 - loss 1.83362705 - samples/sec: 133.27
2020-05-14 21:28:44,844 epoch 5 - iter 1060/2650 - loss 1.84706211 - samples/sec: 133.82
2020-05-14 21:29:48,989 epoch 5 - iter 1325/2650 - loss 1.85352876 - samples/sec: 132.27
2020-05-14 21:30:54,583 epoch 5 - iter 1590/2650 - loss 1.85790167 - samples/sec: 129.34
2020-05-14 21:31:58,486 epoch 5 - iter 1855/2650 - loss 1.85120213 - samples/sec: 132.77
2020-05-14 21:33:03,301 epoch 5 - iter 2120/2650 - loss 1.85352930 - samples/sec: 130.90
2020-05-14 21:34:08,647 epoch 5 - iter 2385/2650 - loss 1.85132615 - samples/sec: 129.83
2020-05-14 21:35:13,851 epoch 5 - iter 2650/2650 - loss 1.84397688 - samples/sec: 130.12
2020-05-14 21:35:13,865 ----------------------------------------------------------------------------------------------------
2020-05-14 21:35:13,865 EPOCH 5 done: loss 1.8440 - lr 0.1000000
2020-05-14 21:35:13,865 BAD EPOCHS (no improvement): 0
2020-05-14 21:35:13,865 ----------------------------------------------------------------------------------------------------
2020-05-14 21:36:18,585 epoch 6 - iter 265/2650 - loss 1.80631321 - samples/sec: 131.08
2020-05-14 21:37:24,327 epoch 6 - iter 530/2650 - loss 1.76613550 - samples/sec: 129.05
2020-05-14 21:38:30,107 epoch 6 - iter 795/2650 - loss 1.76297708 - samples/sec: 128.98
2020-05-14 21:39:34,575 epoch 6 - iter 1060/2650 - loss 1.75196998 - samples/sec: 131.60
2020-05-14 21:40:39,045 epoch 6 - iter 1325/2650 - loss 1.75711365 - samples/sec: 131.60
2020-05-14 21:41:42,828 epoch 6 - iter 1590/2650 - loss 1.75923398 - samples/sec: 133.02
2020-05-14 21:42:46,612 epoch 6 - iter 1855/2650 - loss 1.75891123 - samples/sec: 133.01
2020-05-14 21:43:51,756 epoch 6 - iter 2120/2650 - loss 1.76126451 - samples/sec: 130.24
2020-05-14 21:44:58,662 epoch 6 - iter 2385/2650 - loss 1.75918254 - samples/sec: 126.81
2020-05-14 21:46:04,957 epoch 6 - iter 2650/2650 - loss 1.75561870 - samples/sec: 127.98
2020-05-14 21:46:04,971 ----------------------------------------------------------------------------------------------------
2020-05-14 21:46:04,972 EPOCH 6 done: loss 1.7556 - lr 0.1000000
2020-05-14 21:46:04,972 BAD EPOCHS (no improvement): 0
2020-05-14 21:46:04,972 ----------------------------------------------------------------------------------------------------
2020-05-14 21:47:12,534 epoch 7 - iter 265/2650 - loss 1.67966304 - samples/sec: 125.56
2020-05-14 21:48:17,140 epoch 7 - iter 530/2650 - loss 1.65650972 - samples/sec: 131.33
2020-05-14 21:49:21,036 epoch 7 - iter 795/2650 - loss 1.65778010 - samples/sec: 132.79
2020-05-14 21:50:26,386 epoch 7 - iter 1060/2650 - loss 1.66467653 - samples/sec: 129.83
2020-05-14 21:51:32,905 epoch 7 - iter 1325/2650 - loss 1.66638157 - samples/sec: 127.55
2020-05-14 21:52:37,377 epoch 7 - iter 1590/2650 - loss 1.67318924 - samples/sec: 131.60
2020-05-14 21:53:43,221 epoch 7 - iter 1855/2650 - loss 1.66780223 - samples/sec: 128.85
2020-05-14 21:54:46,737 epoch 7 - iter 2120/2650 - loss 1.66766476 - samples/sec: 133.58
2020-05-14 21:55:52,719 epoch 7 - iter 2385/2650 - loss 1.67112583 - samples/sec: 128.59
2020-05-14 21:56:58,403 epoch 7 - iter 2650/2650 - loss 1.67291879 - samples/sec: 129.17
2020-05-14 21:56:58,416 ----------------------------------------------------------------------------------------------------
2020-05-14 21:56:58,416 EPOCH 7 done: loss 1.6729 - lr 0.1000000
2020-05-14 21:56:58,416 BAD EPOCHS (no improvement): 0
2020-05-14 21:56:58,416 ----------------------------------------------------------------------------------------------------
2020-05-14 21:58:02,445 epoch 8 - iter 265/2650 - loss 1.54100752 - samples/sec: 132.49
2020-05-14 21:59:06,023 epoch 8 - iter 530/2650 - loss 1.57774512 - samples/sec: 133.45
2020-05-14 22:00:09,775 epoch 8 - iter 795/2650 - loss 1.59322968 - samples/sec: 133.08
2020-05-14 22:01:15,739 epoch 8 - iter 1060/2650 - loss 1.61075668 - samples/sec: 128.62
2020-05-14 22:02:22,003 epoch 8 - iter 1325/2650 - loss 1.59937820 - samples/sec: 128.04
2020-05-14 22:03:26,937 epoch 8 - iter 1590/2650 - loss 1.60994412 - samples/sec: 130.66
2020-05-14 22:04:30,989 epoch 8 - iter 1855/2650 - loss 1.61284431 - samples/sec: 132.46
2020-05-14 22:05:34,499 epoch 8 - iter 2120/2650 - loss 1.61384953 - samples/sec: 133.59
2020-05-14 22:06:38,842 epoch 8 - iter 2385/2650 - loss 1.61766521 - samples/sec: 131.86
2020-05-14 22:07:41,514 epoch 8 - iter 2650/2650 - loss 1.61758196 - samples/sec: 135.38
2020-05-14 22:07:41,528 ----------------------------------------------------------------------------------------------------
2020-05-14 22:07:41,528 EPOCH 8 done: loss 1.6176 - lr 0.1000000
2020-05-14 22:07:41,528 BAD EPOCHS (no improvement): 0
2020-05-14 22:07:41,528 ----------------------------------------------------------------------------------------------------
2020-05-14 22:08:44,344 epoch 9 - iter 265/2650 - loss 1.51539989 - samples/sec: 135.05
2020-05-14 22:09:49,167 epoch 9 - iter 530/2650 - loss 1.53435440 - samples/sec: 130.89
2020-05-14 22:10:51,734 epoch 9 - iter 795/2650 - loss 1.55417352 - samples/sec: 135.60
2020-05-14 22:11:53,307 epoch 9 - iter 1060/2650 - loss 1.54683802 - samples/sec: 137.79
2020-05-14 22:12:56,142 epoch 9 - iter 1325/2650 - loss 1.54469090 - samples/sec: 135.03
2020-05-14 22:14:07,824 epoch 9 - iter 1590/2650 - loss 1.55591638 - samples/sec: 118.35
2020-05-14 22:15:12,118 epoch 9 - iter 1855/2650 - loss 1.56597471 - samples/sec: 131.96
2020-05-14 22:16:15,311 epoch 9 - iter 2120/2650 - loss 1.56638313 - samples/sec: 134.26
2020-05-14 22:17:18,586 epoch 9 - iter 2385/2650 - loss 1.56529252 - samples/sec: 134.09
2020-05-14 22:18:22,154 epoch 9 - iter 2650/2650 - loss 1.56719182 - samples/sec: 133.47
2020-05-14 22:18:22,168 ----------------------------------------------------------------------------------------------------
2020-05-14 22:18:22,168 EPOCH 9 done: loss 1.5672 - lr 0.1000000
2020-05-14 22:18:22,168 BAD EPOCHS (no improvement): 0
2020-05-14 22:18:22,169 ----------------------------------------------------------------------------------------------------
2020-05-14 22:19:26,155 epoch 10 - iter 265/2650 - loss 1.52148827 - samples/sec: 132.58
2020-05-14 22:20:30,976 epoch 10 - iter 530/2650 - loss 1.51892451 - samples/sec: 130.89
2020-05-14 22:21:34,311 epoch 10 - iter 795/2650 - loss 1.52197810 - samples/sec: 133.96
2020-05-14 22:22:37,826 epoch 10 - iter 1060/2650 - loss 1.52217362 - samples/sec: 133.58
2020-05-14 22:23:42,088 epoch 10 - iter 1325/2650 - loss 1.51801346 - samples/sec: 132.03
2020-05-14 22:24:44,738 epoch 10 - iter 1590/2650 - loss 1.51657139 - samples/sec: 135.43
2020-05-14 22:25:48,662 epoch 10 - iter 1855/2650 - loss 1.51646850 - samples/sec: 132.73
2020-05-14 22:26:51,930 epoch 10 - iter 2120/2650 - loss 1.51710988 - samples/sec: 134.10
2020-05-14 22:27:55,951 epoch 10 - iter 2385/2650 - loss 1.51512293 - samples/sec: 132.52
2020-05-14 22:28:59,095 epoch 10 - iter 2650/2650 - loss 1.51582896 - samples/sec: 134.37
2020-05-14 22:28:59,109 ----------------------------------------------------------------------------------------------------
2020-05-14 22:28:59,109 EPOCH 10 done: loss 1.5158 - lr 0.1000000
2020-05-14 22:28:59,109 BAD EPOCHS (no improvement): 0
2020-05-14 22:28:59,109 ----------------------------------------------------------------------------------------------------
2020-05-14 22:30:02,109 epoch 11 - iter 265/2650 - loss 1.39631145 - samples/sec: 134.65
2020-05-14 22:31:05,117 epoch 11 - iter 530/2650 - loss 1.42419138 - samples/sec: 134.66
2020-05-14 22:32:07,873 epoch 11 - iter 795/2650 - loss 1.44360669 - samples/sec: 135.20
2020-05-14 22:33:10,724 epoch 11 - iter 1060/2650 - loss 1.45397822 - samples/sec: 134.99
2020-05-14 22:34:13,531 epoch 11 - iter 1325/2650 - loss 1.45737590 - samples/sec: 135.08
2020-05-14 22:35:15,614 epoch 11 - iter 1590/2650 - loss 1.46332654 - samples/sec: 136.66
2020-05-14 22:36:18,303 epoch 11 - iter 1855/2650 - loss 1.46737095 - samples/sec: 135.34
2020-05-14 22:37:23,748 epoch 11 - iter 2120/2650 - loss 1.47325064 - samples/sec: 129.64
2020-05-14 22:38:29,707 epoch 11 - iter 2385/2650 - loss 1.48211353 - samples/sec: 128.63
2020-05-14 22:39:33,747 epoch 11 - iter 2650/2650 - loss 1.48168472 - samples/sec: 132.49
2020-05-14 22:39:33,761 ----------------------------------------------------------------------------------------------------
2020-05-14 22:39:33,761 EPOCH 11 done: loss 1.4817 - lr 0.1000000
2020-05-14 22:39:33,761 BAD EPOCHS (no improvement): 0
2020-05-14 22:39:33,761 ----------------------------------------------------------------------------------------------------
2020-05-14 22:40:38,373 epoch 12 - iter 265/2650 - loss 1.39792285 - samples/sec: 131.29
2020-05-14 22:41:42,226 epoch 12 - iter 530/2650 - loss 1.42691576 - samples/sec: 132.87
2020-05-14 22:42:47,095 epoch 12 - iter 795/2650 - loss 1.41754953 - samples/sec: 130.79
2020-05-14 22:43:49,670 epoch 12 - iter 1060/2650 - loss 1.43700092 - samples/sec: 135.59
2020-05-14 22:44:53,867 epoch 12 - iter 1325/2650 - loss 1.43090514 - samples/sec: 132.16
2020-05-14 22:45:58,352 epoch 12 - iter 1590/2650 - loss 1.43609710 - samples/sec: 131.57
2020-05-14 22:47:01,473 epoch 12 - iter 1855/2650 - loss 1.43580906 - samples/sec: 134.41
2020-05-14 22:48:05,625 epoch 12 - iter 2120/2650 - loss 1.44201491 - samples/sec: 132.26
2020-05-14 22:49:10,211 epoch 12 - iter 2385/2650 - loss 1.44886275 - samples/sec: 131.36
2020-05-14 22:50:13,333 epoch 12 - iter 2650/2650 - loss 1.44874890 - samples/sec: 134.42
2020-05-14 22:50:13,346 ----------------------------------------------------------------------------------------------------
2020-05-14 22:50:13,347 EPOCH 12 done: loss 1.4487 - lr 0.1000000
2020-05-14 22:50:13,347 BAD EPOCHS (no improvement): 0
2020-05-14 22:50:13,347 ----------------------------------------------------------------------------------------------------
2020-05-14 22:51:17,779 epoch 13 - iter 265/2650 - loss 1.39579536 - samples/sec: 131.66
2020-05-14 22:52:21,062 epoch 13 - iter 530/2650 - loss 1.38417891 - samples/sec: 134.07
2020-05-14 22:53:25,909 epoch 13 - iter 795/2650 - loss 1.38407237 - samples/sec: 130.84
2020-05-14 22:54:30,642 epoch 13 - iter 1060/2650 - loss 1.38571738 - samples/sec: 131.07
2020-05-14 22:55:33,626 epoch 13 - iter 1325/2650 - loss 1.39233783 - samples/sec: 134.71
2020-05-14 22:56:38,275 epoch 13 - iter 1590/2650 - loss 1.40008000 - samples/sec: 131.24
2020-05-14 22:57:41,392 epoch 13 - iter 1855/2650 - loss 1.40503281 - samples/sec: 134.43
2020-05-14 22:58:45,244 epoch 13 - iter 2120/2650 - loss 1.40943340 - samples/sec: 132.88
2020-05-14 22:59:50,448 epoch 13 - iter 2385/2650 - loss 1.40950304 - samples/sec: 130.12
2020-05-14 23:00:55,720 epoch 13 - iter 2650/2650 - loss 1.41163785 - samples/sec: 129.99
2020-05-14 23:00:55,733 ----------------------------------------------------------------------------------------------------
2020-05-14 23:00:55,734 EPOCH 13 done: loss 1.4116 - lr 0.1000000
2020-05-14 23:00:55,734 BAD EPOCHS (no improvement): 0
2020-05-14 23:00:55,734 ----------------------------------------------------------------------------------------------------
2020-05-14 23:02:01,142 epoch 14 - iter 265/2650 - loss 1.38966452 - samples/sec: 129.70
2020-05-14 23:03:06,358 epoch 14 - iter 530/2650 - loss 1.39310597 - samples/sec: 130.10
2020-05-14 23:04:11,685 epoch 14 - iter 795/2650 - loss 1.39133254 - samples/sec: 129.87
2020-05-14 23:05:16,685 epoch 14 - iter 1060/2650 - loss 1.39587420 - samples/sec: 130.53
2020-05-14 23:06:20,674 epoch 14 - iter 1325/2650 - loss 1.39749742 - samples/sec: 132.59
2020-05-14 23:07:23,886 epoch 14 - iter 1590/2650 - loss 1.38987150 - samples/sec: 134.22
2020-05-14 23:08:27,458 epoch 14 - iter 1855/2650 - loss 1.38348389 - samples/sec: 133.46
2020-05-14 23:09:33,009 epoch 14 - iter 2120/2650 - loss 1.38008743 - samples/sec: 129.43
2020-05-14 23:10:37,649 epoch 14 - iter 2385/2650 - loss 1.38005140 - samples/sec: 131.26
2020-05-14 23:11:41,186 epoch 14 - iter 2650/2650 - loss 1.38048491 - samples/sec: 133.54
2020-05-14 23:11:41,200 ----------------------------------------------------------------------------------------------------
2020-05-14 23:11:41,200 EPOCH 14 done: loss 1.3805 - lr 0.1000000
2020-05-14 23:11:41,200 BAD EPOCHS (no improvement): 0
2020-05-14 23:11:41,200 ----------------------------------------------------------------------------------------------------
2020-05-14 23:12:46,227 epoch 15 - iter 265/2650 - loss 1.33293809 - samples/sec: 130.45
2020-05-14 23:13:49,083 epoch 15 - iter 530/2650 - loss 1.32494349 - samples/sec: 134.98
2020-05-14 23:14:52,752 epoch 15 - iter 795/2650 - loss 1.33567159 - samples/sec: 133.26
2020-05-14 23:15:56,876 epoch 15 - iter 1060/2650 - loss 1.34020876 - samples/sec: 132.32
2020-05-14 23:17:00,942 epoch 15 - iter 1325/2650 - loss 1.34654147 - samples/sec: 132.43
2020-05-14 23:18:04,959 epoch 15 - iter 1590/2650 - loss 1.35052223 - samples/sec: 132.53
2020-05-14 23:19:09,348 epoch 15 - iter 1855/2650 - loss 1.35506334 - samples/sec: 131.77
2020-05-14 23:20:13,806 epoch 15 - iter 2120/2650 - loss 1.36009731 - samples/sec: 131.63
2020-05-14 23:21:15,974 epoch 15 - iter 2385/2650 - loss 1.35571015 - samples/sec: 136.48
2020-05-14 23:22:21,587 epoch 15 - iter 2650/2650 - loss 1.36046268 - samples/sec: 129.31
2020-05-14 23:22:21,601 ----------------------------------------------------------------------------------------------------
2020-05-14 23:22:21,601 EPOCH 15 done: loss 1.3605 - lr 0.1000000
2020-05-14 23:22:21,601 BAD EPOCHS (no improvement): 0
2020-05-14 23:22:21,601 ----------------------------------------------------------------------------------------------------
2020-05-14 23:23:24,777 epoch 16 - iter 265/2650 - loss 1.31894554 - samples/sec: 134.28
2020-05-14 23:24:28,107 epoch 16 - iter 530/2650 - loss 1.31350237 - samples/sec: 133.97
2020-05-14 23:25:31,456 epoch 16 - iter 795/2650 - loss 1.31069331 - samples/sec: 133.93
2020-05-14 23:26:34,215 epoch 16 - iter 1060/2650 - loss 1.31046096 - samples/sec: 135.19
2020-05-14 23:27:38,713 epoch 16 - iter 1325/2650 - loss 1.31584170 - samples/sec: 131.54
2020-05-14 23:28:41,091 epoch 16 - iter 1590/2650 - loss 1.31861297 - samples/sec: 136.02
2020-05-14 23:29:46,076 epoch 16 - iter 1855/2650 - loss 1.32542463 - samples/sec: 130.56
2020-05-14 23:30:50,249 epoch 16 - iter 2120/2650 - loss 1.32952057 - samples/sec: 132.21
2020-05-14 23:31:52,802 epoch 16 - iter 2385/2650 - loss 1.33036434 - samples/sec: 135.63
2020-05-14 23:32:56,496 epoch 16 - iter 2650/2650 - loss 1.33486524 - samples/sec: 133.21
2020-05-14 23:32:56,509 ----------------------------------------------------------------------------------------------------
2020-05-14 23:32:56,509 EPOCH 16 done: loss 1.3349 - lr 0.1000000
2020-05-14 23:32:56,509 BAD EPOCHS (no improvement): 0
2020-05-14 23:32:56,510 ----------------------------------------------------------------------------------------------------
2020-05-14 23:33:59,244 epoch 17 - iter 265/2650 - loss 1.28739197 - samples/sec: 135.23
2020-05-14 23:35:00,287 epoch 17 - iter 530/2650 - loss 1.27972256 - samples/sec: 138.99
2020-05-14 23:36:04,211 epoch 17 - iter 795/2650 - loss 1.28618993 - samples/sec: 132.72
2020-05-14 23:37:07,369 epoch 17 - iter 1060/2650 - loss 1.29866713 - samples/sec: 134.33
2020-05-14 23:38:11,793 epoch 17 - iter 1325/2650 - loss 1.30473996 - samples/sec: 131.69
2020-05-14 23:39:14,401 epoch 17 - iter 1590/2650 - loss 1.30893172 - samples/sec: 135.52
2020-05-14 23:40:18,930 epoch 17 - iter 1855/2650 - loss 1.31438349 - samples/sec: 131.48
2020-05-14 23:41:21,431 epoch 17 - iter 2120/2650 - loss 1.31414536 - samples/sec: 135.75
2020-05-14 23:42:26,219 epoch 17 - iter 2385/2650 - loss 1.31629080 - samples/sec: 130.96
2020-05-14 23:43:29,547 epoch 17 - iter 2650/2650 - loss 1.31909985 - samples/sec: 133.97
2020-05-14 23:43:29,561 ----------------------------------------------------------------------------------------------------
2020-05-14 23:43:29,561 EPOCH 17 done: loss 1.3191 - lr 0.1000000
2020-05-14 23:43:29,561 BAD EPOCHS (no improvement): 0
2020-05-14 23:43:29,561 ----------------------------------------------------------------------------------------------------
2020-05-14 23:44:31,044 epoch 18 - iter 265/2650 - loss 1.18740381 - samples/sec: 137.98
2020-05-14 23:45:35,618 epoch 18 - iter 530/2650 - loss 1.24744662 - samples/sec: 131.39
2020-05-14 23:46:37,907 epoch 18 - iter 795/2650 - loss 1.25059832 - samples/sec: 136.21
2020-05-14 23:47:41,549 epoch 18 - iter 1060/2650 - loss 1.25544313 - samples/sec: 133.31
2020-05-14 23:48:46,374 epoch 18 - iter 1325/2650 - loss 1.26188193 - samples/sec: 130.88
2020-05-14 23:49:49,132 epoch 18 - iter 1590/2650 - loss 1.27517707 - samples/sec: 135.19
2020-05-14 23:50:51,748 epoch 18 - iter 1855/2650 - loss 1.28139389 - samples/sec: 135.50
2020-05-14 23:51:54,976 epoch 18 - iter 2120/2650 - loss 1.28580666 - samples/sec: 134.19
2020-05-14 23:52:58,741 epoch 18 - iter 2385/2650 - loss 1.29464864 - samples/sec: 133.05
2020-05-14 23:54:02,963 epoch 18 - iter 2650/2650 - loss 1.30097205 - samples/sec: 132.11
2020-05-14 23:54:02,976 ----------------------------------------------------------------------------------------------------
2020-05-14 23:54:02,976 EPOCH 18 done: loss 1.3010 - lr 0.1000000
2020-05-14 23:54:02,977 BAD EPOCHS (no improvement): 0
2020-05-14 23:54:02,977 ----------------------------------------------------------------------------------------------------
2020-05-14 23:55:06,555 epoch 19 - iter 265/2650 - loss 1.26371326 - samples/sec: 133.43
2020-05-14 23:56:10,150 epoch 19 - iter 530/2650 - loss 1.26326257 - samples/sec: 133.41
2020-05-14 23:57:12,236 epoch 19 - iter 795/2650 - loss 1.24916972 - samples/sec: 136.66
2020-05-14 23:58:15,886 epoch 19 - iter 1060/2650 - loss 1.25713620 - samples/sec: 133.30
2020-05-14 23:59:18,257 epoch 19 - iter 1325/2650 - loss 1.26091258 - samples/sec: 136.03
2020-05-15 00:00:21,072 epoch 19 - iter 1590/2650 - loss 1.26043059 - samples/sec: 135.07
2020-05-15 00:01:24,590 epoch 19 - iter 1855/2650 - loss 1.26685163 - samples/sec: 133.57
2020-05-15 00:02:28,507 epoch 19 - iter 2120/2650 - loss 1.26900503 - samples/sec: 132.74
2020-05-15 00:03:32,623 epoch 19 - iter 2385/2650 - loss 1.27169460 - samples/sec: 132.33
2020-05-15 00:04:36,617 epoch 19 - iter 2650/2650 - loss 1.27540996 - samples/sec: 132.58
2020-05-15 00:04:36,630 ----------------------------------------------------------------------------------------------------
2020-05-15 00:04:36,630 EPOCH 19 done: loss 1.2754 - lr 0.1000000
2020-05-15 00:04:36,630 BAD EPOCHS (no improvement): 0
2020-05-15 00:04:36,631 ----------------------------------------------------------------------------------------------------
2020-05-15 00:05:40,970 epoch 20 - iter 265/2650 - loss 1.23545391 - samples/sec: 131.85
2020-05-15 00:06:43,482 epoch 20 - iter 530/2650 - loss 1.23155610 - samples/sec: 135.72
2020-05-15 00:07:47,348 epoch 20 - iter 795/2650 - loss 1.23511899 - samples/sec: 132.84
2020-05-15 00:08:50,250 epoch 20 - iter 1060/2650 - loss 1.24566345 - samples/sec: 134.88
2020-05-15 00:09:53,345 epoch 20 - iter 1325/2650 - loss 1.24839078 - samples/sec: 134.47
2020-05-15 00:10:56,494 epoch 20 - iter 1590/2650 - loss 1.24779592 - samples/sec: 134.35
2020-05-15 00:12:00,861 epoch 20 - iter 1855/2650 - loss 1.25218256 - samples/sec: 131.81
2020-05-15 00:13:03,946 epoch 20 - iter 2120/2650 - loss 1.25558792 - samples/sec: 134.49
2020-05-15 00:14:07,740 epoch 20 - iter 2385/2650 - loss 1.25918627 - samples/sec: 132.99
2020-05-15 00:15:11,691 epoch 20 - iter 2650/2650 - loss 1.26209307 - samples/sec: 132.67
2020-05-15 00:15:11,704 ----------------------------------------------------------------------------------------------------
2020-05-15 00:15:11,704 EPOCH 20 done: loss 1.2621 - lr 0.1000000
2020-05-15 00:15:11,704 BAD EPOCHS (no improvement): 0
2020-05-15 00:15:11,704 ----------------------------------------------------------------------------------------------------
2020-05-15 00:16:15,158 epoch 21 - iter 265/2650 - loss 1.17993955 - samples/sec: 133.69
2020-05-15 00:17:19,492 epoch 21 - iter 530/2650 - loss 1.21225949 - samples/sec: 131.88
2020-05-15 00:18:23,411 epoch 21 - iter 795/2650 - loss 1.21965884 - samples/sec: 132.73
2020-05-15 00:19:26,411 epoch 21 - iter 1060/2650 - loss 1.22319707 - samples/sec: 134.67
2020-05-15 00:20:31,598 epoch 21 - iter 1325/2650 - loss 1.23319669 - samples/sec: 130.15
2020-05-15 00:21:35,478 epoch 21 - iter 1590/2650 - loss 1.23480897 - samples/sec: 132.82
2020-05-15 00:22:39,364 epoch 21 - iter 1855/2650 - loss 1.23500773 - samples/sec: 132.81
2020-05-15 00:23:42,059 epoch 21 - iter 2120/2650 - loss 1.23814157 - samples/sec: 135.33
2020-05-15 00:24:45,689 epoch 21 - iter 2385/2650 - loss 1.24177469 - samples/sec: 133.34
2020-05-15 00:25:48,578 epoch 21 - iter 2650/2650 - loss 1.24271260 - samples/sec: 134.91
2020-05-15 00:25:48,592 ----------------------------------------------------------------------------------------------------
2020-05-15 00:25:48,592 EPOCH 21 done: loss 1.2427 - lr 0.1000000
2020-05-15 00:25:48,592 BAD EPOCHS (no improvement): 0
2020-05-15 00:25:48,592 ----------------------------------------------------------------------------------------------------
2020-05-15 00:26:52,100 epoch 22 - iter 265/2650 - loss 1.22383088 - samples/sec: 133.58
2020-05-15 00:27:55,891 epoch 22 - iter 530/2650 - loss 1.21130135 - samples/sec: 133.00
2020-05-15 00:28:59,897 epoch 22 - iter 795/2650 - loss 1.20195434 - samples/sec: 132.55
2020-05-15 00:30:02,806 epoch 22 - iter 1060/2650 - loss 1.19602546 - samples/sec: 134.86
2020-05-15 00:31:06,071 epoch 22 - iter 1325/2650 - loss 1.20552765 - samples/sec: 134.11
2020-05-15 00:32:08,975 epoch 22 - iter 1590/2650 - loss 1.21060759 - samples/sec: 134.88
2020-05-15 00:33:12,329 epoch 22 - iter 1855/2650 - loss 1.21267147 - samples/sec: 133.92
2020-05-15 00:34:15,966 epoch 22 - iter 2120/2650 - loss 1.21455604 - samples/sec: 133.32
2020-05-15 00:35:21,071 epoch 22 - iter 2385/2650 - loss 1.21657259 - samples/sec: 130.32
2020-05-15 00:36:23,096 epoch 22 - iter 2650/2650 - loss 1.22393044 - samples/sec: 136.79
2020-05-15 00:36:23,110 ----------------------------------------------------------------------------------------------------
2020-05-15 00:36:23,110 EPOCH 22 done: loss 1.2239 - lr 0.1000000
2020-05-15 00:36:23,110 BAD EPOCHS (no improvement): 0
2020-05-15 00:36:23,110 ----------------------------------------------------------------------------------------------------
2020-05-15 00:37:26,082 epoch 23 - iter 265/2650 - loss 1.19362935 - samples/sec: 134.71
2020-05-15 00:38:28,649 epoch 23 - iter 530/2650 - loss 1.20868120 - samples/sec: 135.60
2020-05-15 00:39:30,312 epoch 23 - iter 795/2650 - loss 1.21562320 - samples/sec: 137.59
2020-05-15 00:40:32,521 epoch 23 - iter 1060/2650 - loss 1.21194975 - samples/sec: 136.38
2020-05-15 00:41:36,466 epoch 23 - iter 1325/2650 - loss 1.21371350 - samples/sec: 132.68
2020-05-15 00:42:40,113 epoch 23 - iter 1590/2650 - loss 1.21407947 - samples/sec: 133.30
2020-05-15 00:43:43,495 epoch 23 - iter 1855/2650 - loss 1.21495330 - samples/sec: 133.86
2020-05-15 00:44:50,885 epoch 23 - iter 2120/2650 - loss 1.21780633 - samples/sec: 125.89
2020-05-15 00:45:57,176 epoch 23 - iter 2385/2650 - loss 1.21905345 - samples/sec: 127.98
2020-05-15 00:47:03,009 epoch 23 - iter 2650/2650 - loss 1.22206027 - samples/sec: 128.88
2020-05-15 00:47:03,023 ----------------------------------------------------------------------------------------------------
2020-05-15 00:47:03,023 EPOCH 23 done: loss 1.2221 - lr 0.1000000
2020-05-15 00:47:03,023 BAD EPOCHS (no improvement): 0
2020-05-15 00:47:03,023 ----------------------------------------------------------------------------------------------------
2020-05-15 00:48:07,649 epoch 24 - iter 265/2650 - loss 1.17193480 - samples/sec: 131.27
2020-05-15 00:49:14,691 epoch 24 - iter 530/2650 - loss 1.18520061 - samples/sec: 126.55
2020-05-15 00:50:19,112 epoch 24 - iter 795/2650 - loss 1.18454782 - samples/sec: 131.70
2020-05-15 00:51:22,354 epoch 24 - iter 1060/2650 - loss 1.18029094 - samples/sec: 134.16
2020-05-15 00:52:27,344 epoch 24 - iter 1325/2650 - loss 1.19187679 - samples/sec: 130.55
2020-05-15 00:53:33,223 epoch 24 - iter 1590/2650 - loss 1.18983134 - samples/sec: 128.79
2020-05-15 00:54:37,008 epoch 24 - iter 1855/2650 - loss 1.19354491 - samples/sec: 133.02
2020-05-15 00:55:41,766 epoch 24 - iter 2120/2650 - loss 1.19512985 - samples/sec: 131.02
2020-05-15 00:56:47,253 epoch 24 - iter 2385/2650 - loss 1.19874410 - samples/sec: 129.56
2020-05-15 00:57:53,774 epoch 24 - iter 2650/2650 - loss 1.20737689 - samples/sec: 127.54
2020-05-15 00:57:53,788 ----------------------------------------------------------------------------------------------------
2020-05-15 00:57:53,788 EPOCH 24 done: loss 1.2074 - lr 0.1000000
2020-05-15 00:57:53,788 BAD EPOCHS (no improvement): 0
2020-05-15 00:57:53,788 ----------------------------------------------------------------------------------------------------
2020-05-15 00:58:59,283 epoch 25 - iter 265/2650 - loss 1.16743796 - samples/sec: 129.52
2020-05-15 01:00:03,538 epoch 25 - iter 530/2650 - loss 1.16390571 - samples/sec: 132.05
2020-05-15 01:01:08,236 epoch 25 - iter 795/2650 - loss 1.17782600 - samples/sec: 131.14
2020-05-15 01:02:11,599 epoch 25 - iter 1060/2650 - loss 1.17985265 - samples/sec: 133.90
2020-05-15 01:03:17,702 epoch 25 - iter 1325/2650 - loss 1.18356145 - samples/sec: 128.35
2020-05-15 01:04:21,768 epoch 25 - iter 1590/2650 - loss 1.18444098 - samples/sec: 132.43
2020-05-15 01:05:28,486 epoch 25 - iter 1855/2650 - loss 1.18906514 - samples/sec: 127.17
2020-05-15 01:06:33,216 epoch 25 - iter 2120/2650 - loss 1.19040402 - samples/sec: 131.08
2020-05-15 01:07:35,878 epoch 25 - iter 2385/2650 - loss 1.18905161 - samples/sec: 135.40
2020-05-15 01:08:41,865 epoch 25 - iter 2650/2650 - loss 1.19166137 - samples/sec: 128.58
2020-05-15 01:08:41,879 ----------------------------------------------------------------------------------------------------
2020-05-15 01:08:41,879 EPOCH 25 done: loss 1.1917 - lr 0.1000000
2020-05-15 01:08:41,879 BAD EPOCHS (no improvement): 0
2020-05-15 01:08:41,879 ----------------------------------------------------------------------------------------------------
2020-05-15 01:09:47,120 epoch 26 - iter 265/2650 - loss 1.22409112 - samples/sec: 130.03
2020-05-15 01:10:50,484 epoch 26 - iter 530/2650 - loss 1.19629000 - samples/sec: 133.90
2020-05-15 01:11:54,376 epoch 26 - iter 795/2650 - loss 1.19098814 - samples/sec: 132.79
2020-05-15 01:12:59,411 epoch 26 - iter 1060/2650 - loss 1.18615913 - samples/sec: 130.46
2020-05-15 01:14:02,209 epoch 26 - iter 1325/2650 - loss 1.17281441 - samples/sec: 135.11
2020-05-15 01:15:05,804 epoch 26 - iter 1590/2650 - loss 1.17922988 - samples/sec: 133.41
2020-05-15 01:16:08,897 epoch 26 - iter 1855/2650 - loss 1.17947497 - samples/sec: 134.47
2020-05-15 01:17:13,202 epoch 26 - iter 2120/2650 - loss 1.18142090 - samples/sec: 131.94
2020-05-15 01:18:15,624 epoch 26 - iter 2385/2650 - loss 1.18434936 - samples/sec: 135.92
2020-05-15 01:19:19,317 epoch 26 - iter 2650/2650 - loss 1.18544102 - samples/sec: 133.21
2020-05-15 01:19:19,331 ----------------------------------------------------------------------------------------------------
2020-05-15 01:19:19,331 EPOCH 26 done: loss 1.1854 - lr 0.1000000
2020-05-15 01:19:19,331 BAD EPOCHS (no improvement): 0
2020-05-15 01:19:19,331 ----------------------------------------------------------------------------------------------------
2020-05-15 01:20:23,198 epoch 27 - iter 265/2650 - loss 1.14981475 - samples/sec: 132.83
2020-05-15 01:21:26,303 epoch 27 - iter 530/2650 - loss 1.15549151 - samples/sec: 134.45
2020-05-15 01:22:28,884 epoch 27 - iter 795/2650 - loss 1.14869123 - samples/sec: 135.57
2020-05-15 01:23:32,041 epoch 27 - iter 1060/2650 - loss 1.14545603 - samples/sec: 134.34
2020-05-15 01:24:36,796 epoch 27 - iter 1325/2650 - loss 1.14428301 - samples/sec: 131.02
2020-05-15 01:25:42,100 epoch 27 - iter 1590/2650 - loss 1.15023522 - samples/sec: 129.92
2020-05-15 01:26:46,082 epoch 27 - iter 1855/2650 - loss 1.15372620 - samples/sec: 132.60
2020-05-15 01:27:49,014 epoch 27 - iter 2120/2650 - loss 1.15880897 - samples/sec: 134.82
2020-05-15 01:28:51,729 epoch 27 - iter 2385/2650 - loss 1.16186863 - samples/sec: 135.29
2020-05-15 01:29:54,697 epoch 27 - iter 2650/2650 - loss 1.16395521 - samples/sec: 134.74
2020-05-15 01:29:54,710 ----------------------------------------------------------------------------------------------------
2020-05-15 01:29:54,711 EPOCH 27 done: loss 1.1640 - lr 0.1000000
2020-05-15 01:29:54,711 BAD EPOCHS (no improvement): 0
2020-05-15 01:29:54,711 ----------------------------------------------------------------------------------------------------
2020-05-15 01:30:56,481 epoch 28 - iter 265/2650 - loss 1.10499472 - samples/sec: 137.34
2020-05-15 01:32:00,051 epoch 28 - iter 530/2650 - loss 1.11067071 - samples/sec: 133.46
2020-05-15 01:33:03,487 epoch 28 - iter 795/2650 - loss 1.13176148 - samples/sec: 133.75
2020-05-15 01:34:07,284 epoch 28 - iter 1060/2650 - loss 1.13178278 - samples/sec: 132.99
2020-05-15 01:35:13,364 epoch 28 - iter 1325/2650 - loss 1.14190150 - samples/sec: 128.39
2020-05-15 01:36:17,844 epoch 28 - iter 1590/2650 - loss 1.14166251 - samples/sec: 131.58
2020-05-15 01:37:21,831 epoch 28 - iter 1855/2650 - loss 1.14783891 - samples/sec: 132.59
2020-05-15 01:38:25,558 epoch 28 - iter 2120/2650 - loss 1.15575548 - samples/sec: 133.13
2020-05-15 01:39:30,436 epoch 28 - iter 2385/2650 - loss 1.16421577 - samples/sec: 130.77
2020-05-15 01:40:32,198 epoch 28 - iter 2650/2650 - loss 1.16741712 - samples/sec: 137.38
2020-05-15 01:40:32,212 ----------------------------------------------------------------------------------------------------
2020-05-15 01:40:32,212 EPOCH 28 done: loss 1.1674 - lr 0.1000000
2020-05-15 01:40:32,212 BAD EPOCHS (no improvement): 1
2020-05-15 01:40:32,212 ----------------------------------------------------------------------------------------------------
2020-05-15 01:41:36,557 epoch 29 - iter 265/2650 - loss 1.12858580 - samples/sec: 131.84
2020-05-15 01:42:40,778 epoch 29 - iter 530/2650 - loss 1.13319095 - samples/sec: 132.11
2020-05-15 01:43:45,718 epoch 29 - iter 795/2650 - loss 1.14171340 - samples/sec: 130.65
2020-05-15 01:44:49,457 epoch 29 - iter 1060/2650 - loss 1.14295830 - samples/sec: 133.11
2020-05-15 01:45:53,675 epoch 29 - iter 1325/2650 - loss 1.15182286 - samples/sec: 132.12
2020-05-15 01:46:57,524 epoch 29 - iter 1590/2650 - loss 1.15238240 - samples/sec: 132.88
2020-05-15 01:48:02,536 epoch 29 - iter 1855/2650 - loss 1.15129946 - samples/sec: 130.51
2020-05-15 01:49:07,284 epoch 29 - iter 2120/2650 - loss 1.15166706 - samples/sec: 131.04
2020-05-15 01:50:11,799 epoch 29 - iter 2385/2650 - loss 1.14989156 - samples/sec: 131.51
2020-05-15 01:51:16,676 epoch 29 - iter 2650/2650 - loss 1.15482685 - samples/sec: 130.78
2020-05-15 01:51:16,689 ----------------------------------------------------------------------------------------------------
2020-05-15 01:51:16,689 EPOCH 29 done: loss 1.1548 - lr 0.1000000
2020-05-15 01:51:16,689 BAD EPOCHS (no improvement): 0
2020-05-15 01:51:16,689 ----------------------------------------------------------------------------------------------------
2020-05-15 01:52:21,746 epoch 30 - iter 265/2650 - loss 1.12411328 - samples/sec: 130.40
2020-05-15 01:53:25,962 epoch 30 - iter 530/2650 - loss 1.12516572 - samples/sec: 132.12
2020-05-15 01:54:31,169 epoch 30 - iter 795/2650 - loss 1.13514622 - samples/sec: 130.11
2020-05-15 01:55:37,515 epoch 30 - iter 1060/2650 - loss 1.13921793 - samples/sec: 127.88
2020-05-15 01:56:42,135 epoch 30 - iter 1325/2650 - loss 1.13920009 - samples/sec: 131.30
2020-05-15 01:57:45,281 epoch 30 - iter 1590/2650 - loss 1.13627207 - samples/sec: 134.36
2020-05-15 01:58:48,157 epoch 30 - iter 1855/2650 - loss 1.13841661 - samples/sec: 134.94
2020-05-15 01:59:54,005 epoch 30 - iter 2120/2650 - loss 1.13903106 - samples/sec: 128.85
2020-05-15 02:00:59,239 epoch 30 - iter 2385/2650 - loss 1.14574739 - samples/sec: 130.06
2020-05-15 02:02:03,040 epoch 30 - iter 2650/2650 - loss 1.15023791 - samples/sec: 132.99
2020-05-15 02:02:03,053 ----------------------------------------------------------------------------------------------------
2020-05-15 02:02:03,053 EPOCH 30 done: loss 1.1502 - lr 0.1000000
2020-05-15 02:02:03,053 BAD EPOCHS (no improvement): 0
2020-05-15 02:02:03,053 ----------------------------------------------------------------------------------------------------
2020-05-15 02:03:07,504 epoch 31 - iter 265/2650 - loss 1.07534471 - samples/sec: 131.62
2020-05-15 02:04:09,992 epoch 31 - iter 530/2650 - loss 1.09222794 - samples/sec: 135.78
2020-05-15 02:05:13,923 epoch 31 - iter 795/2650 - loss 1.10215192 - samples/sec: 132.71
2020-05-15 02:06:16,558 epoch 31 - iter 1060/2650 - loss 1.11650624 - samples/sec: 135.46
2020-05-15 02:07:20,685 epoch 31 - iter 1325/2650 - loss 1.11893896 - samples/sec: 132.30
2020-05-15 02:08:23,561 epoch 31 - iter 1590/2650 - loss 1.11404504 - samples/sec: 134.94
2020-05-15 02:09:29,394 epoch 31 - iter 1855/2650 - loss 1.12465464 - samples/sec: 128.87
2020-05-15 02:10:34,408 epoch 31 - iter 2120/2650 - loss 1.13035252 - samples/sec: 130.50
2020-05-15 02:11:40,478 epoch 31 - iter 2385/2650 - loss 1.13614911 - samples/sec: 128.41
2020-05-15 02:12:43,307 epoch 31 - iter 2650/2650 - loss 1.13941395 - samples/sec: 135.04
2020-05-15 02:12:43,321 ----------------------------------------------------------------------------------------------------
2020-05-15 02:12:43,321 EPOCH 31 done: loss 1.1394 - lr 0.1000000
2020-05-15 02:12:43,321 BAD EPOCHS (no improvement): 0
2020-05-15 02:12:43,321 ----------------------------------------------------------------------------------------------------
2020-05-15 02:13:47,901 epoch 32 - iter 265/2650 - loss 1.11252902 - samples/sec: 131.36
2020-05-15 02:14:51,740 epoch 32 - iter 530/2650 - loss 1.10175283 - samples/sec: 132.90
2020-05-15 02:15:55,574 epoch 32 - iter 795/2650 - loss 1.10559067 - samples/sec: 132.91
2020-05-15 02:17:00,081 epoch 32 - iter 1060/2650 - loss 1.11063434 - samples/sec: 131.53
2020-05-15 02:18:03,733 epoch 32 - iter 1325/2650 - loss 1.11841219 - samples/sec: 133.29
2020-05-15 02:19:09,037 epoch 32 - iter 1590/2650 - loss 1.12182126 - samples/sec: 129.92
2020-05-15 02:20:14,346 epoch 32 - iter 1855/2650 - loss 1.12872774 - samples/sec: 129.91
2020-05-15 02:21:18,081 epoch 32 - iter 2120/2650 - loss 1.12913531 - samples/sec: 133.12
2020-05-15 02:22:20,535 epoch 32 - iter 2385/2650 - loss 1.13199920 - samples/sec: 135.85
2020-05-15 02:23:23,797 epoch 32 - iter 2650/2650 - loss 1.13338676 - samples/sec: 134.12
2020-05-15 02:23:23,810 ----------------------------------------------------------------------------------------------------
2020-05-15 02:23:23,811 EPOCH 32 done: loss 1.1334 - lr 0.1000000
2020-05-15 02:23:23,811 BAD EPOCHS (no improvement): 0
2020-05-15 02:23:23,811 ----------------------------------------------------------------------------------------------------
2020-05-15 02:24:28,444 epoch 33 - iter 265/2650 - loss 1.07338534 - samples/sec: 131.25
2020-05-15 02:25:32,098 epoch 33 - iter 530/2650 - loss 1.07917092 - samples/sec: 133.29
2020-05-15 02:26:36,212 epoch 33 - iter 795/2650 - loss 1.08659504 - samples/sec: 132.33
2020-05-15 02:27:39,833 epoch 33 - iter 1060/2650 - loss 1.08413910 - samples/sec: 133.36
2020-05-15 02:28:42,315 epoch 33 - iter 1325/2650 - loss 1.09352014 - samples/sec: 135.79
2020-05-15 02:29:47,648 epoch 33 - iter 1590/2650 - loss 1.09635913 - samples/sec: 129.86
2020-05-15 02:30:49,832 epoch 33 - iter 1855/2650 - loss 1.10120856 - samples/sec: 136.44
2020-05-15 02:31:52,671 epoch 33 - iter 2120/2650 - loss 1.10815583 - samples/sec: 135.01
2020-05-15 02:32:55,503 epoch 33 - iter 2385/2650 - loss 1.11352368 - samples/sec: 135.03
2020-05-15 02:33:57,485 epoch 33 - iter 2650/2650 - loss 1.11696793 - samples/sec: 136.88
2020-05-15 02:33:57,498 ----------------------------------------------------------------------------------------------------
2020-05-15 02:33:57,498 EPOCH 33 done: loss 1.1170 - lr 0.1000000
2020-05-15 02:33:57,498 BAD EPOCHS (no improvement): 0
2020-05-15 02:33:57,499 ----------------------------------------------------------------------------------------------------
2020-05-15 02:35:00,258 epoch 34 - iter 265/2650 - loss 1.07139693 - samples/sec: 135.17
2020-05-15 02:36:02,063 epoch 34 - iter 530/2650 - loss 1.07609874 - samples/sec: 137.27
2020-05-15 02:37:04,972 epoch 34 - iter 795/2650 - loss 1.09425126 - samples/sec: 134.86
2020-05-15 02:38:06,199 epoch 34 - iter 1060/2650 - loss 1.10282551 - samples/sec: 138.57
2020-05-15 02:39:09,904 epoch 34 - iter 1325/2650 - loss 1.10631708 - samples/sec: 133.18
2020-05-15 02:40:12,662 epoch 34 - iter 1590/2650 - loss 1.11326118 - samples/sec: 135.19
2020-05-15 02:41:16,079 epoch 34 - iter 1855/2650 - loss 1.11549996 - samples/sec: 133.78
2020-05-15 02:42:18,116 epoch 34 - iter 2120/2650 - loss 1.11340787 - samples/sec: 136.76
2020-05-15 02:43:19,976 epoch 34 - iter 2385/2650 - loss 1.11845618 - samples/sec: 137.15
2020-05-15 02:44:23,351 epoch 34 - iter 2650/2650 - loss 1.11839759 - samples/sec: 133.87
2020-05-15 02:44:23,364 ----------------------------------------------------------------------------------------------------
2020-05-15 02:44:23,364 EPOCH 34 done: loss 1.1184 - lr 0.1000000
2020-05-15 02:44:23,364 BAD EPOCHS (no improvement): 1
2020-05-15 02:44:23,364 ----------------------------------------------------------------------------------------------------
2020-05-15 02:45:24,551 epoch 35 - iter 265/2650 - loss 1.05365199 - samples/sec: 138.64
2020-05-15 02:46:27,094 epoch 35 - iter 530/2650 - loss 1.07420114 - samples/sec: 135.65
2020-05-15 02:47:29,992 epoch 35 - iter 795/2650 - loss 1.07377442 - samples/sec: 134.89
2020-05-15 02:48:32,599 epoch 35 - iter 1060/2650 - loss 1.07596388 - samples/sec: 135.51
2020-05-15 02:49:38,156 epoch 35 - iter 1325/2650 - loss 1.08111013 - samples/sec: 129.41
2020-05-15 02:50:41,181 epoch 35 - iter 1590/2650 - loss 1.09219611 - samples/sec: 134.62
2020-05-15 02:51:42,398 epoch 35 - iter 1855/2650 - loss 1.09717050 - samples/sec: 138.59
2020-05-15 02:52:44,263 epoch 35 - iter 2120/2650 - loss 1.10195073 - samples/sec: 137.14
2020-05-15 02:53:47,548 epoch 35 - iter 2385/2650 - loss 1.10067186 - samples/sec: 134.07
2020-05-15 02:54:51,110 epoch 35 - iter 2650/2650 - loss 1.10314920 - samples/sec: 133.48
2020-05-15 02:54:51,123 ----------------------------------------------------------------------------------------------------
2020-05-15 02:54:51,123 EPOCH 35 done: loss 1.1031 - lr 0.1000000
2020-05-15 02:54:51,123 BAD EPOCHS (no improvement): 0
2020-05-15 02:54:51,123 ----------------------------------------------------------------------------------------------------
2020-05-15 02:55:52,590 epoch 36 - iter 265/2650 - loss 1.10295673 - samples/sec: 138.01
2020-05-15 02:56:55,052 epoch 36 - iter 530/2650 - loss 1.09772886 - samples/sec: 135.83
2020-05-15 02:57:58,245 epoch 36 - iter 795/2650 - loss 1.10093750 - samples/sec: 134.26
2020-05-15 02:59:00,640 epoch 36 - iter 1060/2650 - loss 1.09531750 - samples/sec: 135.97
2020-05-15 03:00:03,262 epoch 36 - iter 1325/2650 - loss 1.09679998 - samples/sec: 135.48
2020-05-15 03:01:05,214 epoch 36 - iter 1590/2650 - loss 1.10238971 - samples/sec: 136.94
2020-05-15 03:02:08,458 epoch 36 - iter 1855/2650 - loss 1.10768760 - samples/sec: 134.15
2020-05-15 03:03:11,858 epoch 36 - iter 2120/2650 - loss 1.10830849 - samples/sec: 133.82
2020-05-15 03:04:13,572 epoch 36 - iter 2385/2650 - loss 1.10549256 - samples/sec: 137.48
2020-05-15 03:05:17,468 epoch 36 - iter 2650/2650 - loss 1.10665407 - samples/sec: 132.78
2020-05-15 03:05:17,481 ----------------------------------------------------------------------------------------------------
2020-05-15 03:05:17,482 EPOCH 36 done: loss 1.1067 - lr 0.1000000
2020-05-15 03:05:17,482 BAD EPOCHS (no improvement): 1
2020-05-15 03:05:17,482 ----------------------------------------------------------------------------------------------------
2020-05-15 03:06:20,789 epoch 37 - iter 265/2650 - loss 1.06572566 - samples/sec: 134.00
2020-05-15 03:07:23,210 epoch 37 - iter 530/2650 - loss 1.08958279 - samples/sec: 135.92
2020-05-15 03:08:24,919 epoch 37 - iter 795/2650 - loss 1.07613956 - samples/sec: 137.49
2020-05-15 03:09:27,951 epoch 37 - iter 1060/2650 - loss 1.07836476 - samples/sec: 134.60
2020-05-15 03:10:31,973 epoch 37 - iter 1325/2650 - loss 1.08711218 - samples/sec: 132.52
2020-05-15 03:11:35,257 epoch 37 - iter 1590/2650 - loss 1.08942731 - samples/sec: 134.07
2020-05-15 03:12:38,228 epoch 37 - iter 1855/2650 - loss 1.08764565 - samples/sec: 134.73
2020-05-15 03:13:49,185 epoch 37 - iter 2120/2650 - loss 1.08954325 - samples/sec: 119.56
2020-05-15 03:14:53,016 epoch 37 - iter 2385/2650 - loss 1.09651878 - samples/sec: 132.92
2020-05-15 03:15:55,077 epoch 37 - iter 2650/2650 - loss 1.09813872 - samples/sec: 136.71
2020-05-15 03:15:55,090 ----------------------------------------------------------------------------------------------------
2020-05-15 03:15:55,090 EPOCH 37 done: loss 1.0981 - lr 0.1000000
2020-05-15 03:15:55,090 BAD EPOCHS (no improvement): 0
2020-05-15 03:15:55,091 ----------------------------------------------------------------------------------------------------
2020-05-15 03:16:57,754 epoch 38 - iter 265/2650 - loss 1.07696162 - samples/sec: 135.37
2020-05-15 03:18:02,501 epoch 38 - iter 530/2650 - loss 1.07019052 - samples/sec: 131.04
2020-05-15 03:19:05,470 epoch 38 - iter 795/2650 - loss 1.07860810 - samples/sec: 134.73
2020-05-15 03:20:07,165 epoch 38 - iter 1060/2650 - loss 1.07668830 - samples/sec: 137.52
2020-05-15 03:21:10,278 epoch 38 - iter 1325/2650 - loss 1.07451420 - samples/sec: 134.43
2020-05-15 03:22:12,626 epoch 38 - iter 1590/2650 - loss 1.08727164 - samples/sec: 136.08
2020-05-15 03:23:14,549 epoch 38 - iter 1855/2650 - loss 1.08844953 - samples/sec: 137.01
2020-05-15 03:24:16,567 epoch 38 - iter 2120/2650 - loss 1.08825157 - samples/sec: 136.80
2020-05-15 03:25:19,968 epoch 38 - iter 2385/2650 - loss 1.09095805 - samples/sec: 133.82
2020-05-15 03:26:23,630 epoch 38 - iter 2650/2650 - loss 1.09150072 - samples/sec: 133.27
2020-05-15 03:26:23,643 ----------------------------------------------------------------------------------------------------
2020-05-15 03:26:23,643 EPOCH 38 done: loss 1.0915 - lr 0.1000000
2020-05-15 03:26:23,644 BAD EPOCHS (no improvement): 0
2020-05-15 03:26:23,644 ----------------------------------------------------------------------------------------------------
2020-05-15 03:27:25,526 epoch 39 - iter 265/2650 - loss 1.06644539 - samples/sec: 137.08
2020-05-15 03:28:28,266 epoch 39 - iter 530/2650 - loss 1.05524300 - samples/sec: 135.22
2020-05-15 03:29:31,304 epoch 39 - iter 795/2650 - loss 1.06071212 - samples/sec: 134.59
2020-05-15 03:30:32,627 epoch 39 - iter 1060/2650 - loss 1.06128127 - samples/sec: 138.35
2020-05-15 03:31:35,849 epoch 39 - iter 1325/2650 - loss 1.06818795 - samples/sec: 134.20
2020-05-15 03:32:38,077 epoch 39 - iter 1590/2650 - loss 1.07190334 - samples/sec: 136.34
2020-05-15 03:33:39,866 epoch 39 - iter 1855/2650 - loss 1.07330803 - samples/sec: 137.31
2020-05-15 03:34:42,861 epoch 39 - iter 2120/2650 - loss 1.07769663 - samples/sec: 134.68
2020-05-15 03:35:46,064 epoch 39 - iter 2385/2650 - loss 1.07751270 - samples/sec: 134.24
2020-05-15 03:36:48,027 epoch 39 - iter 2650/2650 - loss 1.07872638 - samples/sec: 136.92
2020-05-15 03:36:48,040 ----------------------------------------------------------------------------------------------------
2020-05-15 03:36:48,040 EPOCH 39 done: loss 1.0787 - lr 0.1000000
2020-05-15 03:36:48,040 BAD EPOCHS (no improvement): 0
2020-05-15 03:36:48,040 ----------------------------------------------------------------------------------------------------
2020-05-15 03:37:51,519 epoch 40 - iter 265/2650 - loss 1.08429493 - samples/sec: 133.63
2020-05-15 03:38:53,819 epoch 40 - iter 530/2650 - loss 1.06498164 - samples/sec: 136.18
2020-05-15 03:39:54,921 epoch 40 - iter 795/2650 - loss 1.05572491 - samples/sec: 138.85
2020-05-15 03:40:57,969 epoch 40 - iter 1060/2650 - loss 1.06742320 - samples/sec: 134.56
2020-05-15 03:42:00,006 epoch 40 - iter 1325/2650 - loss 1.06908663 - samples/sec: 136.76
2020-05-15 03:43:02,533 epoch 40 - iter 1590/2650 - loss 1.06952201 - samples/sec: 135.69
2020-05-15 03:44:04,097 epoch 40 - iter 1855/2650 - loss 1.06403466 - samples/sec: 137.81
2020-05-15 03:45:05,813 epoch 40 - iter 2120/2650 - loss 1.06400864 - samples/sec: 137.47
2020-05-15 03:46:10,082 epoch 40 - iter 2385/2650 - loss 1.07054183 - samples/sec: 132.01
2020-05-15 03:47:12,974 epoch 40 - iter 2650/2650 - loss 1.07018156 - samples/sec: 134.90
2020-05-15 03:47:12,987 ----------------------------------------------------------------------------------------------------
2020-05-15 03:47:12,987 EPOCH 40 done: loss 1.0702 - lr 0.1000000
2020-05-15 03:47:12,987 BAD EPOCHS (no improvement): 0
2020-05-15 03:47:12,988 ----------------------------------------------------------------------------------------------------
2020-05-15 03:48:16,651 epoch 41 - iter 265/2650 - loss 1.05944061 - samples/sec: 133.25
2020-05-15 03:49:18,628 epoch 41 - iter 530/2650 - loss 1.04624154 - samples/sec: 136.89
2020-05-15 03:50:21,571 epoch 41 - iter 795/2650 - loss 1.04986151 - samples/sec: 134.79
2020-05-15 03:51:24,390 epoch 41 - iter 1060/2650 - loss 1.04813722 - samples/sec: 135.05
2020-05-15 03:52:27,021 epoch 41 - iter 1325/2650 - loss 1.04880511 - samples/sec: 135.46
2020-05-15 03:53:28,912 epoch 41 - iter 1590/2650 - loss 1.05358041 - samples/sec: 137.08
2020-05-15 03:54:31,898 epoch 41 - iter 1855/2650 - loss 1.05776916 - samples/sec: 134.70
2020-05-15 03:55:34,237 epoch 41 - iter 2120/2650 - loss 1.06433737 - samples/sec: 136.10
2020-05-15 03:56:35,867 epoch 41 - iter 2385/2650 - loss 1.06685857 - samples/sec: 137.66
2020-05-15 03:57:38,206 epoch 41 - iter 2650/2650 - loss 1.06764791 - samples/sec: 136.09
2020-05-15 03:57:38,219 ----------------------------------------------------------------------------------------------------
2020-05-15 03:57:38,219 EPOCH 41 done: loss 1.0676 - lr 0.1000000
2020-05-15 03:57:38,219 BAD EPOCHS (no improvement): 0
2020-05-15 03:57:38,219 ----------------------------------------------------------------------------------------------------
2020-05-15 03:58:40,213 epoch 42 - iter 265/2650 - loss 1.04292047 - samples/sec: 136.83
2020-05-15 03:59:43,827 epoch 42 - iter 530/2650 - loss 1.05952806 - samples/sec: 133.37
2020-05-15 04:00:47,401 epoch 42 - iter 795/2650 - loss 1.04851396 - samples/sec: 133.45
2020-05-15 04:01:49,224 epoch 42 - iter 1060/2650 - loss 1.04468603 - samples/sec: 137.23
2020-05-15 04:02:51,462 epoch 42 - iter 1325/2650 - loss 1.04692339 - samples/sec: 136.32
2020-05-15 04:03:54,726 epoch 42 - iter 1590/2650 - loss 1.04959445 - samples/sec: 134.11
2020-05-15 04:04:56,221 epoch 42 - iter 1855/2650 - loss 1.05388850 - samples/sec: 137.96
2020-05-15 04:05:58,194 epoch 42 - iter 2120/2650 - loss 1.06031845 - samples/sec: 136.90
2020-05-15 04:07:01,843 epoch 42 - iter 2385/2650 - loss 1.06673120 - samples/sec: 133.29
2020-05-15 04:08:04,725 epoch 42 - iter 2650/2650 - loss 1.07090964 - samples/sec: 134.92
2020-05-15 04:08:04,738 ----------------------------------------------------------------------------------------------------
2020-05-15 04:08:04,738 EPOCH 42 done: loss 1.0709 - lr 0.1000000
2020-05-15 04:08:04,738 BAD EPOCHS (no improvement): 1
2020-05-15 04:08:04,739 ----------------------------------------------------------------------------------------------------
2020-05-15 04:09:09,452 epoch 43 - iter 265/2650 - loss 1.07777400 - samples/sec: 131.08
2020-05-15 04:10:13,274 epoch 43 - iter 530/2650 - loss 1.05690003 - samples/sec: 132.93
2020-05-15 04:11:15,457 epoch 43 - iter 795/2650 - loss 1.04536713 - samples/sec: 136.44
2020-05-15 04:12:17,471 epoch 43 - iter 1060/2650 - loss 1.03627193 - samples/sec: 136.81
2020-05-15 04:13:19,248 epoch 43 - iter 1325/2650 - loss 1.03636835 - samples/sec: 137.34
2020-05-15 04:14:21,373 epoch 43 - iter 1590/2650 - loss 1.04273702 - samples/sec: 136.56
2020-05-15 04:15:24,207 epoch 43 - iter 1855/2650 - loss 1.04981266 - samples/sec: 135.03
2020-05-15 04:16:26,849 epoch 43 - iter 2120/2650 - loss 1.05152425 - samples/sec: 135.44
2020-05-15 04:17:29,039 epoch 43 - iter 2385/2650 - loss 1.05628485 - samples/sec: 136.42
2020-05-15 04:18:31,800 epoch 43 - iter 2650/2650 - loss 1.05841352 - samples/sec: 135.18
2020-05-15 04:18:31,813 ----------------------------------------------------------------------------------------------------
2020-05-15 04:18:31,813 EPOCH 43 done: loss 1.0584 - lr 0.1000000
2020-05-15 04:18:31,813 BAD EPOCHS (no improvement): 0
2020-05-15 04:18:31,813 ----------------------------------------------------------------------------------------------------
2020-05-15 04:19:34,908 epoch 44 - iter 265/2650 - loss 1.00257375 - samples/sec: 134.45
2020-05-15 04:20:37,710 epoch 44 - iter 530/2650 - loss 1.02302451 - samples/sec: 135.10
2020-05-15 04:21:40,097 epoch 44 - iter 795/2650 - loss 1.02013806 - samples/sec: 135.99
2020-05-15 04:22:41,374 epoch 44 - iter 1060/2650 - loss 1.02317927 - samples/sec: 138.46
2020-05-15 04:23:44,467 epoch 44 - iter 1325/2650 - loss 1.02683387 - samples/sec: 134.47
2020-05-15 04:24:46,193 epoch 44 - iter 1590/2650 - loss 1.03287171 - samples/sec: 137.45
2020-05-15 04:25:50,252 epoch 44 - iter 1855/2650 - loss 1.04726578 - samples/sec: 132.44
2020-05-15 04:26:53,735 epoch 44 - iter 2120/2650 - loss 1.05382083 - samples/sec: 133.64
2020-05-15 04:27:57,133 epoch 44 - iter 2385/2650 - loss 1.05522653 - samples/sec: 133.82
2020-05-15 04:29:01,884 epoch 44 - iter 2650/2650 - loss 1.06031018 - samples/sec: 131.02
2020-05-15 04:29:01,897 ----------------------------------------------------------------------------------------------------
2020-05-15 04:29:01,897 EPOCH 44 done: loss 1.0603 - lr 0.1000000
2020-05-15 04:29:01,898 BAD EPOCHS (no improvement): 1
2020-05-15 04:29:01,898 ----------------------------------------------------------------------------------------------------
2020-05-15 04:30:05,148 epoch 45 - iter 265/2650 - loss 1.05141273 - samples/sec: 134.12
2020-05-15 04:31:08,062 epoch 45 - iter 530/2650 - loss 1.03827077 - samples/sec: 134.85
2020-05-15 04:32:11,907 epoch 45 - iter 795/2650 - loss 1.04471619 - samples/sec: 132.89
2020-05-15 04:33:14,816 epoch 45 - iter 1060/2650 - loss 1.05078700 - samples/sec: 134.87
2020-05-15 04:34:17,188 epoch 45 - iter 1325/2650 - loss 1.05095496 - samples/sec: 136.02
2020-05-15 04:35:20,802 epoch 45 - iter 1590/2650 - loss 1.05071594 - samples/sec: 133.37
2020-05-15 04:36:24,968 epoch 45 - iter 1855/2650 - loss 1.05074168 - samples/sec: 132.22
2020-05-15 04:37:27,020 epoch 45 - iter 2120/2650 - loss 1.05560816 - samples/sec: 136.73
2020-05-15 04:38:29,960 epoch 45 - iter 2385/2650 - loss 1.05907299 - samples/sec: 134.80
2020-05-15 04:39:33,881 epoch 45 - iter 2650/2650 - loss 1.05991014 - samples/sec: 132.73
2020-05-15 04:39:33,894 ----------------------------------------------------------------------------------------------------
2020-05-15 04:39:33,894 EPOCH 45 done: loss 1.0599 - lr 0.1000000
2020-05-15 04:39:33,894 BAD EPOCHS (no improvement): 2
2020-05-15 04:39:33,894 ----------------------------------------------------------------------------------------------------
2020-05-15 04:40:39,791 epoch 46 - iter 265/2650 - loss 1.03978895 - samples/sec: 128.73
2020-05-15 04:41:43,598 epoch 46 - iter 530/2650 - loss 1.04386027 - samples/sec: 132.97
2020-05-15 04:42:47,737 epoch 46 - iter 795/2650 - loss 1.04080550 - samples/sec: 132.28
2020-05-15 04:43:51,354 epoch 46 - iter 1060/2650 - loss 1.04634685 - samples/sec: 133.37
2020-05-15 04:44:58,065 epoch 46 - iter 1325/2650 - loss 1.05141060 - samples/sec: 127.18
2020-05-15 04:46:01,179 epoch 46 - iter 1590/2650 - loss 1.05458959 - samples/sec: 134.43
2020-05-15 04:47:04,666 epoch 46 - iter 1855/2650 - loss 1.05383308 - samples/sec: 133.64
2020-05-15 04:48:08,706 epoch 46 - iter 2120/2650 - loss 1.05572517 - samples/sec: 132.49
2020-05-15 04:49:12,384 epoch 46 - iter 2385/2650 - loss 1.05761154 - samples/sec: 133.24
2020-05-15 04:50:16,840 epoch 46 - iter 2650/2650 - loss 1.05422885 - samples/sec: 131.63
2020-05-15 04:50:16,853 ----------------------------------------------------------------------------------------------------
2020-05-15 04:50:16,853 EPOCH 46 done: loss 1.0542 - lr 0.1000000
2020-05-15 04:50:16,853 BAD EPOCHS (no improvement): 0
2020-05-15 04:50:16,853 ----------------------------------------------------------------------------------------------------
2020-05-15 04:51:20,404 epoch 47 - iter 265/2650 - loss 1.01715579 - samples/sec: 133.49
2020-05-15 04:52:25,683 epoch 47 - iter 530/2650 - loss 1.01613219 - samples/sec: 129.97
2020-05-15 04:53:27,513 epoch 47 - iter 795/2650 - loss 1.01637381 - samples/sec: 137.22
2020-05-15 04:54:30,611 epoch 47 - iter 1060/2650 - loss 1.02348325 - samples/sec: 134.46
2020-05-15 04:55:34,213 epoch 47 - iter 1325/2650 - loss 1.02984031 - samples/sec: 133.40
2020-05-15 04:56:37,142 epoch 47 - iter 1590/2650 - loss 1.03517257 - samples/sec: 134.82
2020-05-15 04:57:39,829 epoch 47 - iter 1855/2650 - loss 1.03191846 - samples/sec: 135.34
2020-05-15 04:58:43,354 epoch 47 - iter 2120/2650 - loss 1.03600791 - samples/sec: 133.56
2020-05-15 04:59:45,262 epoch 47 - iter 2385/2650 - loss 1.03715300 - samples/sec: 137.05
2020-05-15 05:00:49,503 epoch 47 - iter 2650/2650 - loss 1.03986324 - samples/sec: 132.07
2020-05-15 05:00:49,516 ----------------------------------------------------------------------------------------------------
2020-05-15 05:00:49,516 EPOCH 47 done: loss 1.0399 - lr 0.1000000
2020-05-15 05:00:49,516 BAD EPOCHS (no improvement): 0
2020-05-15 05:00:49,516 ----------------------------------------------------------------------------------------------------
2020-05-15 05:01:53,557 epoch 48 - iter 265/2650 - loss 1.01019688 - samples/sec: 132.46
2020-05-15 05:02:55,719 epoch 48 - iter 530/2650 - loss 1.02507018 - samples/sec: 136.49
2020-05-15 05:03:57,594 epoch 48 - iter 795/2650 - loss 1.01464257 - samples/sec: 137.12
2020-05-15 05:05:01,569 epoch 48 - iter 1060/2650 - loss 1.02975378 - samples/sec: 132.62
2020-05-15 05:06:04,600 epoch 48 - iter 1325/2650 - loss 1.03097597 - samples/sec: 134.60
2020-05-15 05:07:06,079 epoch 48 - iter 1590/2650 - loss 1.03411865 - samples/sec: 138.00
2020-05-15 05:08:09,853 epoch 48 - iter 1855/2650 - loss 1.03727196 - samples/sec: 133.04
2020-05-15 05:09:13,395 epoch 48 - iter 2120/2650 - loss 1.04051268 - samples/sec: 133.52
2020-05-15 05:10:14,960 epoch 48 - iter 2385/2650 - loss 1.04167487 - samples/sec: 137.81
2020-05-15 05:11:17,862 epoch 48 - iter 2650/2650 - loss 1.04308313 - samples/sec: 134.88
2020-05-15 05:11:17,875 ----------------------------------------------------------------------------------------------------
2020-05-15 05:11:17,875 EPOCH 48 done: loss 1.0431 - lr 0.1000000
2020-05-15 05:11:17,875 BAD EPOCHS (no improvement): 1
2020-05-15 05:11:17,875 ----------------------------------------------------------------------------------------------------
2020-05-15 05:12:20,005 epoch 49 - iter 265/2650 - loss 1.03219207 - samples/sec: 136.54
2020-05-15 05:13:22,409 epoch 49 - iter 530/2650 - loss 1.01532361 - samples/sec: 135.96
2020-05-15 05:14:26,673 epoch 49 - iter 795/2650 - loss 1.00964523 - samples/sec: 132.02
2020-05-15 05:15:29,209 epoch 49 - iter 1060/2650 - loss 1.01326574 - samples/sec: 135.67
2020-05-15 05:16:31,122 epoch 49 - iter 1325/2650 - loss 1.00785708 - samples/sec: 137.03
2020-05-15 05:17:34,375 epoch 49 - iter 1590/2650 - loss 1.01021566 - samples/sec: 134.13
2020-05-15 05:18:36,413 epoch 49 - iter 1855/2650 - loss 1.01528287 - samples/sec: 136.76
2020-05-15 05:19:38,693 epoch 49 - iter 2120/2650 - loss 1.01986058 - samples/sec: 136.23
2020-05-15 05:20:41,274 epoch 49 - iter 2385/2650 - loss 1.02884642 - samples/sec: 135.57
2020-05-15 05:21:45,787 epoch 49 - iter 2650/2650 - loss 1.03212523 - samples/sec: 131.51
2020-05-15 05:21:45,800 ----------------------------------------------------------------------------------------------------
2020-05-15 05:21:45,800 EPOCH 49 done: loss 1.0321 - lr 0.1000000
2020-05-15 05:21:45,800 BAD EPOCHS (no improvement): 0
2020-05-15 05:21:45,801 ----------------------------------------------------------------------------------------------------
2020-05-15 05:22:48,514 epoch 50 - iter 265/2650 - loss 0.98797454 - samples/sec: 135.27
2020-05-15 05:23:51,109 epoch 50 - iter 530/2650 - loss 0.97826137 - samples/sec: 135.54
2020-05-15 05:24:54,759 epoch 50 - iter 795/2650 - loss 0.99014345 - samples/sec: 133.29
2020-05-15 05:25:59,482 epoch 50 - iter 1060/2650 - loss 1.00830447 - samples/sec: 131.08
2020-05-15 05:27:01,328 epoch 50 - iter 1325/2650 - loss 1.01325733 - samples/sec: 137.18
2020-05-15 05:28:02,347 epoch 50 - iter 1590/2650 - loss 1.02013281 - samples/sec: 139.04
2020-05-15 05:29:03,827 epoch 50 - iter 1855/2650 - loss 1.02074577 - samples/sec: 138.00
2020-05-15 05:30:07,429 epoch 50 - iter 2120/2650 - loss 1.02203011 - samples/sec: 133.40
2020-05-15 05:31:10,381 epoch 50 - iter 2385/2650 - loss 1.02567520 - samples/sec: 134.77
2020-05-15 05:32:13,984 epoch 50 - iter 2650/2650 - loss 1.03120045 - samples/sec: 133.39
2020-05-15 05:32:13,996 ----------------------------------------------------------------------------------------------------
2020-05-15 05:32:13,997 EPOCH 50 done: loss 1.0312 - lr 0.1000000
2020-05-15 05:32:13,997 BAD EPOCHS (no improvement): 0
2020-05-15 05:32:13,997 ----------------------------------------------------------------------------------------------------
2020-05-15 05:33:17,275 epoch 51 - iter 265/2650 - loss 1.01051622 - samples/sec: 134.06
2020-05-15 05:34:20,697 epoch 51 - iter 530/2650 - loss 1.00266145 - samples/sec: 133.77
2020-05-15 05:35:22,929 epoch 51 - iter 795/2650 - loss 1.00617317 - samples/sec: 136.33
2020-05-15 05:36:25,925 epoch 51 - iter 1060/2650 - loss 1.00790464 - samples/sec: 134.68
2020-05-15 05:37:28,768 epoch 51 - iter 1325/2650 - loss 1.01250025 - samples/sec: 135.01
2020-05-15 05:38:33,160 epoch 51 - iter 1590/2650 - loss 1.01602561 - samples/sec: 131.76
2020-05-15 05:39:34,829 epoch 51 - iter 1855/2650 - loss 1.01937330 - samples/sec: 137.58
2020-05-15 05:40:37,093 epoch 51 - iter 2120/2650 - loss 1.01891928 - samples/sec: 136.26
2020-05-15 05:41:38,863 epoch 51 - iter 2385/2650 - loss 1.01940876 - samples/sec: 137.35
2020-05-15 05:42:41,103 epoch 51 - iter 2650/2650 - loss 1.02240736 - samples/sec: 136.32
2020-05-15 05:42:41,116 ----------------------------------------------------------------------------------------------------
2020-05-15 05:42:41,116 EPOCH 51 done: loss 1.0224 - lr 0.1000000
2020-05-15 05:42:41,116 BAD EPOCHS (no improvement): 0
2020-05-15 05:42:41,116 ----------------------------------------------------------------------------------------------------
2020-05-15 05:43:42,441 epoch 52 - iter 265/2650 - loss 1.00678820 - samples/sec: 138.33
2020-05-15 05:44:45,014 epoch 52 - iter 530/2650 - loss 1.00131904 - samples/sec: 135.59
2020-05-15 05:45:48,779 epoch 52 - iter 795/2650 - loss 1.01333076 - samples/sec: 133.05
2020-05-15 05:46:52,005 epoch 52 - iter 1060/2650 - loss 1.02667894 - samples/sec: 134.19
2020-05-15 05:47:54,349 epoch 52 - iter 1325/2650 - loss 1.02203888 - samples/sec: 136.09
2020-05-15 05:48:57,328 epoch 52 - iter 1590/2650 - loss 1.01970690 - samples/sec: 134.72
2020-05-15 05:49:59,908 epoch 52 - iter 1855/2650 - loss 1.02314799 - samples/sec: 135.57
2020-05-15 05:51:02,621 epoch 52 - iter 2120/2650 - loss 1.02647008 - samples/sec: 135.29
2020-05-15 05:52:05,049 epoch 52 - iter 2385/2650 - loss 1.02611270 - samples/sec: 135.91
2020-05-15 05:53:08,322 epoch 52 - iter 2650/2650 - loss 1.02664855 - samples/sec: 134.09
2020-05-15 05:53:08,335 ----------------------------------------------------------------------------------------------------
2020-05-15 05:53:08,335 EPOCH 52 done: loss 1.0266 - lr 0.1000000
2020-05-15 05:53:08,335 BAD EPOCHS (no improvement): 1
2020-05-15 05:53:08,335 ----------------------------------------------------------------------------------------------------
2020-05-15 05:54:11,224 epoch 53 - iter 265/2650 - loss 0.99363271 - samples/sec: 134.89
2020-05-15 05:55:13,906 epoch 53 - iter 530/2650 - loss 0.99065871 - samples/sec: 135.35
2020-05-15 05:56:17,243 epoch 53 - iter 795/2650 - loss 1.00010909 - samples/sec: 133.95
2020-05-15 05:57:20,915 epoch 53 - iter 1060/2650 - loss 1.00577190 - samples/sec: 133.25
2020-05-15 05:58:23,310 epoch 53 - iter 1325/2650 - loss 1.00737949 - samples/sec: 135.98
2020-05-15 05:59:26,028 epoch 53 - iter 1590/2650 - loss 1.01220708 - samples/sec: 135.27
2020-05-15 06:00:27,799 epoch 53 - iter 1855/2650 - loss 1.01856730 - samples/sec: 137.35
2020-05-15 06:01:29,743 epoch 53 - iter 2120/2650 - loss 1.01917767 - samples/sec: 136.97
2020-05-15 06:02:30,599 epoch 53 - iter 2385/2650 - loss 1.02189543 - samples/sec: 139.42
2020-05-15 06:03:34,757 epoch 53 - iter 2650/2650 - loss 1.02611193 - samples/sec: 132.24
2020-05-15 06:03:34,770 ----------------------------------------------------------------------------------------------------
2020-05-15 06:03:34,770 EPOCH 53 done: loss 1.0261 - lr 0.1000000
2020-05-15 06:03:34,770 BAD EPOCHS (no improvement): 2
2020-05-15 06:03:34,770 ----------------------------------------------------------------------------------------------------
2020-05-15 06:04:36,473 epoch 54 - iter 265/2650 - loss 0.98564866 - samples/sec: 137.48
2020-05-15 06:05:40,784 epoch 54 - iter 530/2650 - loss 0.99924999 - samples/sec: 131.92
2020-05-15 06:06:44,535 epoch 54 - iter 795/2650 - loss 0.99473308 - samples/sec: 133.08
2020-05-15 06:07:46,593 epoch 54 - iter 1060/2650 - loss 1.00071973 - samples/sec: 136.71
2020-05-15 06:08:47,597 epoch 54 - iter 1325/2650 - loss 1.00058196 - samples/sec: 139.08
2020-05-15 06:09:49,548 epoch 54 - iter 1590/2650 - loss 1.00623620 - samples/sec: 136.95
2020-05-15 06:10:51,753 epoch 54 - iter 1855/2650 - loss 1.01149432 - samples/sec: 136.39
2020-05-15 06:11:53,747 epoch 54 - iter 2120/2650 - loss 1.01263762 - samples/sec: 136.86
2020-05-15 06:12:56,705 epoch 54 - iter 2385/2650 - loss 1.01560242 - samples/sec: 134.76
2020-05-15 06:13:59,455 epoch 54 - iter 2650/2650 - loss 1.01903986 - samples/sec: 135.21
2020-05-15 06:13:59,468 ----------------------------------------------------------------------------------------------------
2020-05-15 06:13:59,468 EPOCH 54 done: loss 1.0190 - lr 0.1000000
2020-05-15 06:13:59,468 BAD EPOCHS (no improvement): 0
2020-05-15 06:13:59,468 ----------------------------------------------------------------------------------------------------
2020-05-15 06:15:03,501 epoch 55 - iter 265/2650 - loss 0.99502599 - samples/sec: 132.48
2020-05-15 06:16:04,511 epoch 55 - iter 530/2650 - loss 1.00939330 - samples/sec: 139.07
2020-05-15 06:17:06,959 epoch 55 - iter 795/2650 - loss 1.01246440 - samples/sec: 135.86
2020-05-15 06:18:09,304 epoch 55 - iter 1060/2650 - loss 1.01159867 - samples/sec: 136.08
2020-05-15 06:19:12,857 epoch 55 - iter 1325/2650 - loss 1.00809966 - samples/sec: 133.50
2020-05-15 06:20:15,481 epoch 55 - iter 1590/2650 - loss 1.01267359 - samples/sec: 135.48
2020-05-15 06:21:16,447 epoch 55 - iter 1855/2650 - loss 1.01263747 - samples/sec: 139.16
2020-05-15 06:22:18,240 epoch 55 - iter 2120/2650 - loss 1.01177600 - samples/sec: 137.30
2020-05-15 06:23:20,677 epoch 55 - iter 2385/2650 - loss 1.01606300 - samples/sec: 135.89
2020-05-15 06:24:24,295 epoch 55 - iter 2650/2650 - loss 1.01893664 - samples/sec: 133.36
2020-05-15 06:24:24,308 ----------------------------------------------------------------------------------------------------
2020-05-15 06:24:24,308 EPOCH 55 done: loss 1.0189 - lr 0.1000000
2020-05-15 06:24:24,308 BAD EPOCHS (no improvement): 0
2020-05-15 06:24:24,308 ----------------------------------------------------------------------------------------------------
2020-05-15 06:25:26,640 epoch 56 - iter 265/2650 - loss 1.00401724 - samples/sec: 136.10
2020-05-15 06:26:29,211 epoch 56 - iter 530/2650 - loss 0.99820980 - samples/sec: 135.59
2020-05-15 06:27:29,935 epoch 56 - iter 795/2650 - loss 0.99310379 - samples/sec: 139.72
2020-05-15 06:28:33,330 epoch 56 - iter 1060/2650 - loss 0.99256502 - samples/sec: 133.83
2020-05-15 06:29:35,106 epoch 56 - iter 1325/2650 - loss 0.99969574 - samples/sec: 137.34
2020-05-15 06:30:38,896 epoch 56 - iter 1590/2650 - loss 1.00555829 - samples/sec: 133.00
2020-05-15 06:31:41,270 epoch 56 - iter 1855/2650 - loss 1.01016595 - samples/sec: 136.02
2020-05-15 06:32:43,671 epoch 56 - iter 2120/2650 - loss 1.01058837 - samples/sec: 135.96
2020-05-15 06:33:46,668 epoch 56 - iter 2385/2650 - loss 1.01846250 - samples/sec: 134.68
2020-05-15 06:34:49,395 epoch 56 - iter 2650/2650 - loss 1.01869526 - samples/sec: 135.26
2020-05-15 06:34:49,408 ----------------------------------------------------------------------------------------------------
2020-05-15 06:34:49,408 EPOCH 56 done: loss 1.0187 - lr 0.1000000
2020-05-15 06:34:49,408 BAD EPOCHS (no improvement): 0
2020-05-15 06:34:49,408 ----------------------------------------------------------------------------------------------------
2020-05-15 06:35:52,368 epoch 57 - iter 265/2650 - loss 1.01194335 - samples/sec: 134.74
2020-05-15 06:36:54,207 epoch 57 - iter 530/2650 - loss 0.99020771 - samples/sec: 137.20
2020-05-15 06:37:55,932 epoch 57 - iter 795/2650 - loss 0.99572614 - samples/sec: 137.45
2020-05-15 06:38:59,278 epoch 57 - iter 1060/2650 - loss 0.99609260 - samples/sec: 133.93
2020-05-15 06:40:00,157 epoch 57 - iter 1325/2650 - loss 0.99903079 - samples/sec: 139.37
2020-05-15 06:41:03,305 epoch 57 - iter 1590/2650 - loss 1.00369645 - samples/sec: 134.35
2020-05-15 06:42:05,993 epoch 57 - iter 1855/2650 - loss 1.00301199 - samples/sec: 135.34
2020-05-15 06:43:09,199 epoch 57 - iter 2120/2650 - loss 1.00903986 - samples/sec: 134.23
2020-05-15 06:44:13,324 epoch 57 - iter 2385/2650 - loss 1.01228480 - samples/sec: 132.31
2020-05-15 06:45:15,521 epoch 57 - iter 2650/2650 - loss 1.01422069 - samples/sec: 136.41
2020-05-15 06:45:15,534 ----------------------------------------------------------------------------------------------------
2020-05-15 06:45:15,534 EPOCH 57 done: loss 1.0142 - lr 0.1000000
2020-05-15 06:45:15,535 BAD EPOCHS (no improvement): 0
2020-05-15 06:45:15,535 ----------------------------------------------------------------------------------------------------
2020-05-15 06:46:18,206 epoch 58 - iter 265/2650 - loss 0.97511248 - samples/sec: 135.36
2020-05-15 06:47:21,101 epoch 58 - iter 530/2650 - loss 0.98230052 - samples/sec: 134.89
2020-05-15 06:48:23,876 epoch 58 - iter 795/2650 - loss 0.99022883 - samples/sec: 135.15
2020-05-15 06:49:28,569 epoch 58 - iter 1060/2650 - loss 0.99832671 - samples/sec: 131.14
2020-05-15 06:50:30,999 epoch 58 - iter 1325/2650 - loss 1.00710393 - samples/sec: 135.90
2020-05-15 06:51:32,004 epoch 58 - iter 1590/2650 - loss 1.01245550 - samples/sec: 139.07
2020-05-15 06:52:33,626 epoch 58 - iter 1855/2650 - loss 1.01006697 - samples/sec: 137.68
2020-05-15 06:53:34,977 epoch 58 - iter 2120/2650 - loss 1.00869473 - samples/sec: 138.29
2020-05-15 06:54:36,438 epoch 58 - iter 2385/2650 - loss 1.01123808 - samples/sec: 138.04
2020-05-15 06:55:40,255 epoch 58 - iter 2650/2650 - loss 1.01285237 - samples/sec: 132.95
2020-05-15 06:55:40,268 ----------------------------------------------------------------------------------------------------
2020-05-15 06:55:40,268 EPOCH 58 done: loss 1.0129 - lr 0.1000000
2020-05-15 06:55:40,268 BAD EPOCHS (no improvement): 0
2020-05-15 06:55:40,268 ----------------------------------------------------------------------------------------------------
2020-05-15 06:56:40,871 epoch 59 - iter 265/2650 - loss 0.97389210 - samples/sec: 139.98
2020-05-15 06:57:43,417 epoch 59 - iter 530/2650 - loss 0.98870429 - samples/sec: 135.65
2020-05-15 06:58:47,512 epoch 59 - iter 795/2650 - loss 0.99519255 - samples/sec: 132.37
2020-05-15 06:59:50,619 epoch 59 - iter 1060/2650 - loss 1.00213441 - samples/sec: 134.44
2020-05-15 07:00:52,590 epoch 59 - iter 1325/2650 - loss 0.99688816 - samples/sec: 136.91
2020-05-15 07:01:55,055 epoch 59 - iter 1590/2650 - loss 1.00255904 - samples/sec: 135.82
2020-05-15 07:02:58,646 epoch 59 - iter 1855/2650 - loss 1.00994804 - samples/sec: 133.42
2020-05-15 07:04:01,612 epoch 59 - iter 2120/2650 - loss 1.00912366 - samples/sec: 134.74
2020-05-15 07:05:03,826 epoch 59 - iter 2385/2650 - loss 1.00947426 - samples/sec: 136.37
2020-05-15 07:06:06,820 epoch 59 - iter 2650/2650 - loss 1.01206883 - samples/sec: 134.68
2020-05-15 07:06:06,833 ----------------------------------------------------------------------------------------------------
2020-05-15 07:06:06,834 EPOCH 59 done: loss 1.0121 - lr 0.1000000
2020-05-15 07:06:06,834 BAD EPOCHS (no improvement): 0
2020-05-15 07:06:06,834 ----------------------------------------------------------------------------------------------------
2020-05-15 07:07:09,985 epoch 60 - iter 265/2650 - loss 0.98685678 - samples/sec: 134.33
2020-05-15 07:08:13,240 epoch 60 - iter 530/2650 - loss 0.97155581 - samples/sec: 134.13
2020-05-15 07:09:16,628 epoch 60 - iter 795/2650 - loss 0.97773503 - samples/sec: 133.85
2020-05-15 07:10:19,342 epoch 60 - iter 1060/2650 - loss 0.97477702 - samples/sec: 135.28
2020-05-15 07:11:22,599 epoch 60 - iter 1325/2650 - loss 0.97672006 - samples/sec: 134.12
2020-05-15 07:12:25,134 epoch 60 - iter 1590/2650 - loss 0.98577584 - samples/sec: 135.67
2020-05-15 07:13:30,600 epoch 60 - iter 1855/2650 - loss 0.98922373 - samples/sec: 129.60
2020-05-15 07:14:34,137 epoch 60 - iter 2120/2650 - loss 0.99305574 - samples/sec: 133.53
2020-05-15 07:15:37,548 epoch 60 - iter 2385/2650 - loss 0.99672555 - samples/sec: 133.80
2020-05-15 07:16:40,050 epoch 60 - iter 2650/2650 - loss 0.99656132 - samples/sec: 135.75
2020-05-15 07:16:40,064 ----------------------------------------------------------------------------------------------------
2020-05-15 07:16:40,064 EPOCH 60 done: loss 0.9966 - lr 0.1000000
2020-05-15 07:16:40,064 BAD EPOCHS (no improvement): 0
2020-05-15 07:16:40,064 ----------------------------------------------------------------------------------------------------
2020-05-15 07:17:42,057 epoch 61 - iter 265/2650 - loss 0.99868506 - samples/sec: 136.84
2020-05-15 07:18:45,577 epoch 61 - iter 530/2650 - loss 0.98486692 - samples/sec: 133.57
2020-05-15 07:19:50,897 epoch 61 - iter 795/2650 - loss 0.98859309 - samples/sec: 129.88
2020-05-15 07:20:54,472 epoch 61 - iter 1060/2650 - loss 0.99032117 - samples/sec: 133.45
2020-05-15 07:21:57,270 epoch 61 - iter 1325/2650 - loss 0.98620032 - samples/sec: 135.11
2020-05-15 07:23:00,668 epoch 61 - iter 1590/2650 - loss 0.98976348 - samples/sec: 133.82
2020-05-15 07:24:05,595 epoch 61 - iter 1855/2650 - loss 0.99843286 - samples/sec: 130.67
2020-05-15 07:25:09,788 epoch 61 - iter 2120/2650 - loss 0.99627954 - samples/sec: 132.17
2020-05-15 07:26:12,945 epoch 61 - iter 2385/2650 - loss 0.99631583 - samples/sec: 134.34
2020-05-15 07:27:18,038 epoch 61 - iter 2650/2650 - loss 0.99537162 - samples/sec: 130.34
2020-05-15 07:27:18,051 ----------------------------------------------------------------------------------------------------
2020-05-15 07:27:18,052 EPOCH 61 done: loss 0.9954 - lr 0.1000000
2020-05-15 07:27:18,052 BAD EPOCHS (no improvement): 0
2020-05-15 07:27:18,052 ----------------------------------------------------------------------------------------------------
2020-05-15 07:28:21,803 epoch 62 - iter 265/2650 - loss 0.98139398 - samples/sec: 133.07
2020-05-15 07:29:25,989 epoch 62 - iter 530/2650 - loss 0.97282391 - samples/sec: 132.18
2020-05-15 07:30:31,262 epoch 62 - iter 795/2650 - loss 0.97072232 - samples/sec: 129.98
2020-05-15 07:31:34,996 epoch 62 - iter 1060/2650 - loss 0.98097070 - samples/sec: 133.12
2020-05-15 07:32:37,371 epoch 62 - iter 1325/2650 - loss 0.97864877 - samples/sec: 136.02
2020-05-15 07:33:41,365 epoch 62 - iter 1590/2650 - loss 0.98523781 - samples/sec: 132.58
2020-05-15 07:34:46,151 epoch 62 - iter 1855/2650 - loss 0.98926350 - samples/sec: 130.96
2020-05-15 07:35:52,052 epoch 62 - iter 2120/2650 - loss 0.99444209 - samples/sec: 128.74
2020-05-15 07:36:58,107 epoch 62 - iter 2385/2650 - loss 0.99699394 - samples/sec: 128.44
2020-05-15 07:38:02,901 epoch 62 - iter 2650/2650 - loss 1.00183709 - samples/sec: 130.94
2020-05-15 07:38:02,914 ----------------------------------------------------------------------------------------------------
2020-05-15 07:38:02,914 EPOCH 62 done: loss 1.0018 - lr 0.1000000
2020-05-15 07:38:02,914 BAD EPOCHS (no improvement): 1
2020-05-15 07:38:02,914 ----------------------------------------------------------------------------------------------------
2020-05-15 07:39:08,607 epoch 63 - iter 265/2650 - loss 0.98407762 - samples/sec: 129.13
2020-05-15 07:40:13,968 epoch 63 - iter 530/2650 - loss 1.00381498 - samples/sec: 129.81
2020-05-15 07:41:19,876 epoch 63 - iter 795/2650 - loss 0.99453134 - samples/sec: 128.73
2020-05-15 07:42:24,734 epoch 63 - iter 1060/2650 - loss 0.98954382 - samples/sec: 130.81
2020-05-15 07:43:31,487 epoch 63 - iter 1325/2650 - loss 0.99168828 - samples/sec: 127.10
2020-05-15 07:44:34,916 epoch 63 - iter 1590/2650 - loss 0.99457140 - samples/sec: 133.76
2020-05-15 07:45:38,741 epoch 63 - iter 1855/2650 - loss 0.99549333 - samples/sec: 132.93
2020-05-15 07:46:41,243 epoch 63 - iter 2120/2650 - loss 0.99678235 - samples/sec: 135.75
2020-05-15 07:47:47,852 epoch 63 - iter 2385/2650 - loss 1.00286180 - samples/sec: 127.37
2020-05-15 07:48:53,909 epoch 63 - iter 2650/2650 - loss 1.00625685 - samples/sec: 128.44
2020-05-15 07:48:53,923 ----------------------------------------------------------------------------------------------------
2020-05-15 07:48:53,923 EPOCH 63 done: loss 1.0063 - lr 0.1000000
2020-05-15 07:48:53,923 BAD EPOCHS (no improvement): 2
2020-05-15 07:48:53,923 ----------------------------------------------------------------------------------------------------
2020-05-15 07:49:59,252 epoch 64 - iter 265/2650 - loss 0.97168452 - samples/sec: 129.85
2020-05-15 07:51:06,330 epoch 64 - iter 530/2650 - loss 0.98601206 - samples/sec: 126.48
2020-05-15 07:52:10,207 epoch 64 - iter 795/2650 - loss 0.98007234 - samples/sec: 132.82
2020-05-15 07:53:15,222 epoch 64 - iter 1060/2650 - loss 0.97746939 - samples/sec: 130.50
2020-05-15 07:54:18,362 epoch 64 - iter 1325/2650 - loss 0.98104145 - samples/sec: 134.37
2020-05-15 07:55:22,071 epoch 64 - iter 1590/2650 - loss 0.98081512 - samples/sec: 133.17
2020-05-15 07:56:26,304 epoch 64 - iter 1855/2650 - loss 0.98755456 - samples/sec: 132.09
2020-05-15 07:57:30,103 epoch 64 - iter 2120/2650 - loss 0.99168050 - samples/sec: 132.99
2020-05-15 07:58:34,177 epoch 64 - iter 2385/2650 - loss 0.99677182 - samples/sec: 132.41
2020-05-15 07:59:37,497 epoch 64 - iter 2650/2650 - loss 0.99840665 - samples/sec: 133.99
2020-05-15 07:59:37,511 ----------------------------------------------------------------------------------------------------
2020-05-15 07:59:37,511 EPOCH 64 done: loss 0.9984 - lr 0.1000000
2020-05-15 07:59:37,512 BAD EPOCHS (no improvement): 3
2020-05-15 07:59:37,512 ----------------------------------------------------------------------------------------------------
2020-05-15 08:00:41,238 epoch 65 - iter 265/2650 - loss 0.97548625 - samples/sec: 133.12
2020-05-15 08:01:43,370 epoch 65 - iter 530/2650 - loss 0.97823102 - samples/sec: 136.55
2020-05-15 08:02:46,766 epoch 65 - iter 795/2650 - loss 0.97899309 - samples/sec: 133.83
2020-05-15 08:03:48,893 epoch 65 - iter 1060/2650 - loss 0.98048386 - samples/sec: 136.56
2020-05-15 08:04:51,212 epoch 65 - iter 1325/2650 - loss 0.98310135 - samples/sec: 136.14
2020-05-15 08:05:54,989 epoch 65 - iter 1590/2650 - loss 0.97946249 - samples/sec: 133.03
2020-05-15 08:06:57,890 epoch 65 - iter 1855/2650 - loss 0.98293867 - samples/sec: 134.88
2020-05-15 08:08:02,535 epoch 65 - iter 2120/2650 - loss 0.98613742 - samples/sec: 131.24
2020-05-15 08:09:07,531 epoch 65 - iter 2385/2650 - loss 0.98861304 - samples/sec: 130.53
2020-05-15 08:10:10,730 epoch 65 - iter 2650/2650 - loss 0.99255849 - samples/sec: 134.25
2020-05-15 08:10:10,744 ----------------------------------------------------------------------------------------------------
2020-05-15 08:10:10,744 EPOCH 65 done: loss 0.9926 - lr 0.1000000
2020-05-15 08:10:10,744 BAD EPOCHS (no improvement): 0
2020-05-15 08:10:10,744 ----------------------------------------------------------------------------------------------------
2020-05-15 08:11:21,865 epoch 66 - iter 265/2650 - loss 0.94597168 - samples/sec: 119.27
2020-05-15 08:12:24,166 epoch 66 - iter 530/2650 - loss 0.97901553 - samples/sec: 136.18
2020-05-15 08:13:27,276 epoch 66 - iter 795/2650 - loss 0.97354750 - samples/sec: 134.43
2020-05-15 08:14:28,764 epoch 66 - iter 1060/2650 - loss 0.97326365 - samples/sec: 137.98
2020-05-15 08:15:31,631 epoch 66 - iter 1325/2650 - loss 0.97673715 - samples/sec: 134.95
2020-05-15 08:16:35,454 epoch 66 - iter 1590/2650 - loss 0.97985860 - samples/sec: 132.93
2020-05-15 08:17:42,572 epoch 66 - iter 1855/2650 - loss 0.98204969 - samples/sec: 126.41
2020-05-15 08:18:48,864 epoch 66 - iter 2120/2650 - loss 0.98380702 - samples/sec: 127.98
2020-05-15 08:19:52,503 epoch 66 - iter 2385/2650 - loss 0.98571617 - samples/sec: 133.32
2020-05-15 08:20:57,384 epoch 66 - iter 2650/2650 - loss 0.98781214 - samples/sec: 130.77
2020-05-15 08:20:57,398 ----------------------------------------------------------------------------------------------------
2020-05-15 08:20:57,398 EPOCH 66 done: loss 0.9878 - lr 0.1000000
2020-05-15 08:20:57,398 BAD EPOCHS (no improvement): 0
2020-05-15 08:20:57,398 ----------------------------------------------------------------------------------------------------
2020-05-15 08:22:03,307 epoch 67 - iter 265/2650 - loss 0.99510963 - samples/sec: 128.71
2020-05-15 08:23:07,953 epoch 67 - iter 530/2650 - loss 0.99926528 - samples/sec: 131.24
2020-05-15 08:24:13,806 epoch 67 - iter 795/2650 - loss 0.98622935 - samples/sec: 128.84
2020-05-15 08:25:18,339 epoch 67 - iter 1060/2650 - loss 0.98623867 - samples/sec: 131.48
2020-05-15 08:26:25,569 epoch 67 - iter 1325/2650 - loss 0.98376510 - samples/sec: 126.20
2020-05-15 08:27:29,558 epoch 67 - iter 1590/2650 - loss 0.98287974 - samples/sec: 132.59
2020-05-15 08:28:34,396 epoch 67 - iter 1855/2650 - loss 0.98418954 - samples/sec: 130.86
2020-05-15 08:29:39,240 epoch 67 - iter 2120/2650 - loss 0.98278883 - samples/sec: 130.84
2020-05-15 08:30:44,415 epoch 67 - iter 2385/2650 - loss 0.98363875 - samples/sec: 130.18
2020-05-15 08:31:51,505 epoch 67 - iter 2650/2650 - loss 0.98947201 - samples/sec: 126.46
2020-05-15 08:31:51,519 ----------------------------------------------------------------------------------------------------
2020-05-15 08:31:51,519 EPOCH 67 done: loss 0.9895 - lr 0.1000000
2020-05-15 08:31:51,519 BAD EPOCHS (no improvement): 1
2020-05-15 08:31:51,519 ----------------------------------------------------------------------------------------------------
2020-05-15 08:32:57,855 epoch 68 - iter 265/2650 - loss 0.98949314 - samples/sec: 127.88
2020-05-15 08:34:04,283 epoch 68 - iter 530/2650 - loss 0.97867313 - samples/sec: 127.72
2020-05-15 08:35:09,847 epoch 68 - iter 795/2650 - loss 0.97628335 - samples/sec: 129.41
2020-05-15 08:36:13,125 epoch 68 - iter 1060/2650 - loss 0.97765411 - samples/sec: 134.08
2020-05-15 08:37:18,341 epoch 68 - iter 1325/2650 - loss 0.97747331 - samples/sec: 130.10
2020-05-15 08:38:24,002 epoch 68 - iter 1590/2650 - loss 0.98368086 - samples/sec: 129.22
2020-05-15 08:39:28,146 epoch 68 - iter 1855/2650 - loss 0.98526491 - samples/sec: 132.27
2020-05-15 08:40:31,303 epoch 68 - iter 2120/2650 - loss 0.98661554 - samples/sec: 134.34
2020-05-15 08:41:38,010 epoch 68 - iter 2385/2650 - loss 0.98868033 - samples/sec: 127.19
2020-05-15 08:42:45,503 epoch 68 - iter 2650/2650 - loss 0.99257724 - samples/sec: 125.71
2020-05-15 08:42:45,517 ----------------------------------------------------------------------------------------------------
2020-05-15 08:42:45,517 EPOCH 68 done: loss 0.9926 - lr 0.1000000
2020-05-15 08:42:45,517 BAD EPOCHS (no improvement): 2
2020-05-15 08:42:45,518 ----------------------------------------------------------------------------------------------------
2020-05-15 08:43:51,231 epoch 69 - iter 265/2650 - loss 0.96834224 - samples/sec: 129.09
2020-05-15 08:44:54,045 epoch 69 - iter 530/2650 - loss 0.95872609 - samples/sec: 135.07
2020-05-15 08:45:58,102 epoch 69 - iter 795/2650 - loss 0.97254770 - samples/sec: 132.45
2020-05-15 08:47:01,437 epoch 69 - iter 1060/2650 - loss 0.97210201 - samples/sec: 133.96
2020-05-15 08:48:06,293 epoch 69 - iter 1325/2650 - loss 0.97578007 - samples/sec: 130.82
2020-05-15 08:49:12,269 epoch 69 - iter 1590/2650 - loss 0.97736704 - samples/sec: 128.60
2020-05-15 08:50:16,679 epoch 69 - iter 1855/2650 - loss 0.98239338 - samples/sec: 131.72
2020-05-15 08:51:21,722 epoch 69 - iter 2120/2650 - loss 0.98785962 - samples/sec: 130.44
2020-05-15 08:52:26,705 epoch 69 - iter 2385/2650 - loss 0.98904364 - samples/sec: 130.56
2020-05-15 08:53:30,004 epoch 69 - iter 2650/2650 - loss 0.98810711 - samples/sec: 134.04
2020-05-15 08:53:30,017 ----------------------------------------------------------------------------------------------------
2020-05-15 08:53:30,017 EPOCH 69 done: loss 0.9881 - lr 0.1000000
2020-05-15 08:53:30,017 BAD EPOCHS (no improvement): 3
2020-05-15 08:53:30,017 ----------------------------------------------------------------------------------------------------
2020-05-15 08:54:32,866 epoch 70 - iter 265/2650 - loss 0.92543875 - samples/sec: 134.98
2020-05-15 08:55:36,567 epoch 70 - iter 530/2650 - loss 0.94426163 - samples/sec: 133.19
2020-05-15 08:56:41,141 epoch 70 - iter 795/2650 - loss 0.94220801 - samples/sec: 131.39
2020-05-15 08:57:45,413 epoch 70 - iter 1060/2650 - loss 0.94755145 - samples/sec: 132.00
2020-05-15 08:58:48,153 epoch 70 - iter 1325/2650 - loss 0.94734391 - samples/sec: 135.23
2020-05-15 08:59:53,384 epoch 70 - iter 1590/2650 - loss 0.95506017 - samples/sec: 130.06
2020-05-15 09:00:55,194 epoch 70 - iter 1855/2650 - loss 0.96172742 - samples/sec: 137.26
2020-05-15 09:01:57,422 epoch 70 - iter 2120/2650 - loss 0.96697709 - samples/sec: 136.34
2020-05-15 09:03:01,963 epoch 70 - iter 2385/2650 - loss 0.96977749 - samples/sec: 131.45
2020-05-15 09:04:04,265 epoch 70 - iter 2650/2650 - loss 0.97300177 - samples/sec: 136.19
2020-05-15 09:04:04,278 ----------------------------------------------------------------------------------------------------
2020-05-15 09:04:04,278 EPOCH 70 done: loss 0.9730 - lr 0.1000000
2020-05-15 09:04:04,278 BAD EPOCHS (no improvement): 0
2020-05-15 09:04:04,278 ----------------------------------------------------------------------------------------------------
2020-05-15 09:05:06,495 epoch 71 - iter 265/2650 - loss 0.96902781 - samples/sec: 136.34
2020-05-15 09:06:10,212 epoch 71 - iter 530/2650 - loss 0.96773476 - samples/sec: 133.15
2020-05-15 09:07:13,664 epoch 71 - iter 795/2650 - loss 0.96734469 - samples/sec: 133.71
2020-05-15 09:08:17,231 epoch 71 - iter 1060/2650 - loss 0.96371172 - samples/sec: 133.47
2020-05-15 09:09:21,992 epoch 71 - iter 1325/2650 - loss 0.97077598 - samples/sec: 131.01
2020-05-15 09:10:24,991 epoch 71 - iter 1590/2650 - loss 0.97545698 - samples/sec: 134.68
2020-05-15 09:11:28,563 epoch 71 - iter 1855/2650 - loss 0.98166507 - samples/sec: 133.47
2020-05-15 09:12:32,400 epoch 71 - iter 2120/2650 - loss 0.98611629 - samples/sec: 132.91
2020-05-15 09:13:36,185 epoch 71 - iter 2385/2650 - loss 0.98861249 - samples/sec: 133.01
2020-05-15 09:14:40,502 epoch 71 - iter 2650/2650 - loss 0.99109508 - samples/sec: 131.92
2020-05-15 09:14:40,515 ----------------------------------------------------------------------------------------------------
2020-05-15 09:14:40,516 EPOCH 71 done: loss 0.9911 - lr 0.1000000
2020-05-15 09:14:40,516 BAD EPOCHS (no improvement): 1
2020-05-15 09:14:40,516 ----------------------------------------------------------------------------------------------------
2020-05-15 09:15:46,104 epoch 72 - iter 265/2650 - loss 0.95514721 - samples/sec: 129.34
2020-05-15 09:16:50,173 epoch 72 - iter 530/2650 - loss 0.96568716 - samples/sec: 132.42
2020-05-15 09:17:54,543 epoch 72 - iter 795/2650 - loss 0.96272958 - samples/sec: 131.81
2020-05-15 09:18:58,778 epoch 72 - iter 1060/2650 - loss 0.96903783 - samples/sec: 132.08
2020-05-15 09:20:03,340 epoch 72 - iter 1325/2650 - loss 0.97258718 - samples/sec: 131.41
2020-05-15 09:21:07,570 epoch 72 - iter 1590/2650 - loss 0.97574027 - samples/sec: 132.10
2020-05-15 09:22:14,104 epoch 72 - iter 1855/2650 - loss 0.97823524 - samples/sec: 127.52
2020-05-15 09:23:16,947 epoch 72 - iter 2120/2650 - loss 0.97886942 - samples/sec: 135.01
2020-05-15 09:24:21,322 epoch 72 - iter 2385/2650 - loss 0.98378799 - samples/sec: 131.80
2020-05-15 09:25:23,207 epoch 72 - iter 2650/2650 - loss 0.98471906 - samples/sec: 137.10
2020-05-15 09:25:23,221 ----------------------------------------------------------------------------------------------------
2020-05-15 09:25:23,221 EPOCH 72 done: loss 0.9847 - lr 0.1000000
2020-05-15 09:25:23,221 BAD EPOCHS (no improvement): 2
2020-05-15 09:25:23,221 ----------------------------------------------------------------------------------------------------
2020-05-15 09:26:26,818 epoch 73 - iter 265/2650 - loss 0.95368424 - samples/sec: 133.39
2020-05-15 09:27:32,299 epoch 73 - iter 530/2650 - loss 0.96322245 - samples/sec: 129.57
2020-05-15 09:28:36,630 epoch 73 - iter 795/2650 - loss 0.96504150 - samples/sec: 131.89
2020-05-15 09:29:41,042 epoch 73 - iter 1060/2650 - loss 0.96233937 - samples/sec: 131.72
2020-05-15 09:30:44,642 epoch 73 - iter 1325/2650 - loss 0.97016092 - samples/sec: 133.40
2020-05-15 09:31:48,824 epoch 73 - iter 1590/2650 - loss 0.97569448 - samples/sec: 132.19
2020-05-15 09:32:53,911 epoch 73 - iter 1855/2650 - loss 0.97834151 - samples/sec: 130.36
2020-05-15 09:33:59,735 epoch 73 - iter 2120/2650 - loss 0.97709524 - samples/sec: 128.89
2020-05-15 09:35:05,843 epoch 73 - iter 2385/2650 - loss 0.98111603 - samples/sec: 128.34
2020-05-15 09:36:13,964 epoch 73 - iter 2650/2650 - loss 0.98734245 - samples/sec: 124.55
2020-05-15 09:36:13,978 ----------------------------------------------------------------------------------------------------
2020-05-15 09:36:13,978 EPOCH 73 done: loss 0.9873 - lr 0.1000000
2020-05-15 09:36:13,978 BAD EPOCHS (no improvement): 3
2020-05-15 09:36:13,978 ----------------------------------------------------------------------------------------------------
2020-05-15 09:37:21,706 epoch 74 - iter 265/2650 - loss 0.98909549 - samples/sec: 125.25
2020-05-15 09:38:28,586 epoch 74 - iter 530/2650 - loss 0.97573508 - samples/sec: 126.86
2020-05-15 09:39:36,590 epoch 74 - iter 795/2650 - loss 0.97867598 - samples/sec: 124.76
2020-05-15 09:40:44,018 epoch 74 - iter 1060/2650 - loss 0.98141629 - samples/sec: 125.83
2020-05-15 09:41:50,563 epoch 74 - iter 1325/2650 - loss 0.98297302 - samples/sec: 127.50
2020-05-15 09:42:59,824 epoch 74 - iter 1590/2650 - loss 0.98161371 - samples/sec: 122.50
2020-05-15 09:44:05,186 epoch 74 - iter 1855/2650 - loss 0.98091708 - samples/sec: 129.81
2020-05-15 09:45:10,843 epoch 74 - iter 2120/2650 - loss 0.97870510 - samples/sec: 129.23
2020-05-15 09:46:17,886 epoch 74 - iter 2385/2650 - loss 0.98141975 - samples/sec: 126.55
2020-05-15 09:47:25,358 epoch 74 - iter 2650/2650 - loss 0.98473484 - samples/sec: 125.75
2020-05-15 09:47:25,372 ----------------------------------------------------------------------------------------------------
2020-05-15 09:47:25,373 EPOCH 74 done: loss 0.9847 - lr 0.1000000
2020-05-15 09:47:25,373 BAD EPOCHS (no improvement): 4
2020-05-15 09:47:25,373 ----------------------------------------------------------------------------------------------------
2020-05-15 09:48:30,699 epoch 75 - iter 265/2650 - loss 0.95362043 - samples/sec: 129.86
2020-05-15 09:49:38,717 epoch 75 - iter 530/2650 - loss 0.93555194 - samples/sec: 124.74
2020-05-15 09:50:44,358 epoch 75 - iter 795/2650 - loss 0.92975708 - samples/sec: 129.26
2020-05-15 09:51:51,455 epoch 75 - iter 1060/2650 - loss 0.93309809 - samples/sec: 126.45
2020-05-15 09:53:00,488 epoch 75 - iter 1325/2650 - loss 0.93589309 - samples/sec: 122.90
2020-05-15 09:54:07,029 epoch 75 - iter 1590/2650 - loss 0.93665979 - samples/sec: 127.51
2020-05-15 09:55:12,841 epoch 75 - iter 1855/2650 - loss 0.93283326 - samples/sec: 128.92
2020-05-15 09:56:20,715 epoch 75 - iter 2120/2650 - loss 0.93092744 - samples/sec: 125.00
2020-05-15 09:57:26,564 epoch 75 - iter 2385/2650 - loss 0.93340363 - samples/sec: 128.85
2020-05-15 09:58:33,416 epoch 75 - iter 2650/2650 - loss 0.93159091 - samples/sec: 126.91
2020-05-15 09:58:33,430 ----------------------------------------------------------------------------------------------------
2020-05-15 09:58:33,430 EPOCH 75 done: loss 0.9316 - lr 0.0500000
2020-05-15 09:58:33,430 BAD EPOCHS (no improvement): 0
2020-05-15 09:58:33,430 ----------------------------------------------------------------------------------------------------
2020-05-15 09:59:39,233 epoch 76 - iter 265/2650 - loss 0.89197647 - samples/sec: 128.92
2020-05-15 10:00:45,678 epoch 76 - iter 530/2650 - loss 0.89732179 - samples/sec: 127.69
2020-05-15 10:01:51,257 epoch 76 - iter 795/2650 - loss 0.89098434 - samples/sec: 129.38
2020-05-15 10:02:57,674 epoch 76 - iter 1060/2650 - loss 0.90074780 - samples/sec: 127.75
2020-05-15 10:04:03,310 epoch 76 - iter 1325/2650 - loss 0.89682384 - samples/sec: 129.27
2020-05-15 10:05:10,927 epoch 76 - iter 1590/2650 - loss 0.90164439 - samples/sec: 125.48
2020-05-15 10:06:16,545 epoch 76 - iter 1855/2650 - loss 0.90270147 - samples/sec: 129.30
2020-05-15 10:07:20,339 epoch 76 - iter 2120/2650 - loss 0.90476458 - samples/sec: 133.00
2020-05-15 10:08:24,543 epoch 76 - iter 2385/2650 - loss 0.90296933 - samples/sec: 132.15
2020-05-15 10:09:28,388 epoch 76 - iter 2650/2650 - loss 0.90223252 - samples/sec: 132.89
2020-05-15 10:09:28,403 ----------------------------------------------------------------------------------------------------
2020-05-15 10:09:28,403 EPOCH 76 done: loss 0.9022 - lr 0.0500000
2020-05-15 10:09:28,403 BAD EPOCHS (no improvement): 0
2020-05-15 10:09:28,403 ----------------------------------------------------------------------------------------------------
2020-05-15 10:10:34,017 epoch 77 - iter 265/2650 - loss 0.86201262 - samples/sec: 129.29
2020-05-15 10:11:40,007 epoch 77 - iter 530/2650 - loss 0.88164542 - samples/sec: 128.57
2020-05-15 10:12:45,342 epoch 77 - iter 795/2650 - loss 0.88820532 - samples/sec: 129.86
2020-05-15 10:13:51,150 epoch 77 - iter 1060/2650 - loss 0.88805476 - samples/sec: 128.93
2020-05-15 10:14:56,666 epoch 77 - iter 1325/2650 - loss 0.88955329 - samples/sec: 129.50
2020-05-15 10:16:01,907 epoch 77 - iter 1590/2650 - loss 0.89381153 - samples/sec: 130.05
2020-05-15 10:17:05,932 epoch 77 - iter 1855/2650 - loss 0.88940753 - samples/sec: 132.52
2020-05-15 10:18:09,619 epoch 77 - iter 2120/2650 - loss 0.89111998 - samples/sec: 133.22
2020-05-15 10:19:14,524 epoch 77 - iter 2385/2650 - loss 0.88982324 - samples/sec: 130.72
2020-05-15 10:20:20,298 epoch 77 - iter 2650/2650 - loss 0.89021953 - samples/sec: 129.00
2020-05-15 10:20:20,312 ----------------------------------------------------------------------------------------------------
2020-05-15 10:20:20,312 EPOCH 77 done: loss 0.8902 - lr 0.0500000
2020-05-15 10:20:20,312 BAD EPOCHS (no improvement): 0
2020-05-15 10:20:20,312 ----------------------------------------------------------------------------------------------------
2020-05-15 10:21:27,751 epoch 78 - iter 265/2650 - loss 0.87979716 - samples/sec: 125.79
2020-05-15 10:22:33,770 epoch 78 - iter 530/2650 - loss 0.87001788 - samples/sec: 128.52
2020-05-15 10:23:38,859 epoch 78 - iter 795/2650 - loss 0.87252897 - samples/sec: 130.35
2020-05-15 10:24:44,411 epoch 78 - iter 1060/2650 - loss 0.88173653 - samples/sec: 129.43
2020-05-15 10:25:50,005 epoch 78 - iter 1325/2650 - loss 0.87996654 - samples/sec: 129.35
2020-05-15 10:26:57,329 epoch 78 - iter 1590/2650 - loss 0.87929865 - samples/sec: 126.02
2020-05-15 10:28:02,977 epoch 78 - iter 1855/2650 - loss 0.87219572 - samples/sec: 129.24
2020-05-15 10:29:08,503 epoch 78 - iter 2120/2650 - loss 0.87384557 - samples/sec: 129.48
2020-05-15 10:30:13,303 epoch 78 - iter 2385/2650 - loss 0.87123956 - samples/sec: 130.94
2020-05-15 10:31:19,948 epoch 78 - iter 2650/2650 - loss 0.87235255 - samples/sec: 127.31
2020-05-15 10:31:19,962 ----------------------------------------------------------------------------------------------------
2020-05-15 10:31:19,962 EPOCH 78 done: loss 0.8724 - lr 0.0500000
2020-05-15 10:31:19,962 BAD EPOCHS (no improvement): 0
2020-05-15 10:31:19,962 ----------------------------------------------------------------------------------------------------
2020-05-15 10:32:25,850 epoch 79 - iter 265/2650 - loss 0.89032092 - samples/sec: 128.75
2020-05-15 10:33:31,279 epoch 79 - iter 530/2650 - loss 0.86698302 - samples/sec: 129.68
2020-05-15 10:34:37,353 epoch 79 - iter 795/2650 - loss 0.87329655 - samples/sec: 128.41
2020-05-15 10:35:43,195 epoch 79 - iter 1060/2650 - loss 0.87197077 - samples/sec: 128.86
2020-05-15 10:36:48,136 epoch 79 - iter 1325/2650 - loss 0.87011292 - samples/sec: 130.65
2020-05-15 10:37:55,888 epoch 79 - iter 1590/2650 - loss 0.87148641 - samples/sec: 125.23
2020-05-15 10:39:01,881 epoch 79 - iter 1855/2650 - loss 0.87176925 - samples/sec: 128.57
2020-05-15 10:40:07,117 epoch 79 - iter 2120/2650 - loss 0.86848600 - samples/sec: 130.06
2020-05-15 10:41:14,281 epoch 79 - iter 2385/2650 - loss 0.86817680 - samples/sec: 126.32
2020-05-15 10:42:19,690 epoch 79 - iter 2650/2650 - loss 0.86510903 - samples/sec: 129.72
2020-05-15 10:42:19,704 ----------------------------------------------------------------------------------------------------
2020-05-15 10:42:19,705 EPOCH 79 done: loss 0.8651 - lr 0.0500000
2020-05-15 10:42:19,705 BAD EPOCHS (no improvement): 0
2020-05-15 10:42:19,705 ----------------------------------------------------------------------------------------------------
2020-05-15 10:43:25,833 epoch 80 - iter 265/2650 - loss 0.82757820 - samples/sec: 128.29
2020-05-15 10:44:30,629 epoch 80 - iter 530/2650 - loss 0.82902530 - samples/sec: 130.94
2020-05-15 10:45:35,677 epoch 80 - iter 795/2650 - loss 0.83903248 - samples/sec: 130.44
2020-05-15 10:46:40,823 epoch 80 - iter 1060/2650 - loss 0.84423373 - samples/sec: 130.24
2020-05-15 10:47:45,843 epoch 80 - iter 1325/2650 - loss 0.84352425 - samples/sec: 130.49
2020-05-15 10:48:51,608 epoch 80 - iter 1590/2650 - loss 0.84598889 - samples/sec: 129.01
2020-05-15 10:49:58,310 epoch 80 - iter 1855/2650 - loss 0.84894450 - samples/sec: 127.20
2020-05-15 10:51:03,584 epoch 80 - iter 2120/2650 - loss 0.85031783 - samples/sec: 129.98
2020-05-15 10:52:09,568 epoch 80 - iter 2385/2650 - loss 0.85573187 - samples/sec: 128.58
2020-05-15 10:53:15,262 epoch 80 - iter 2650/2650 - loss 0.85730194 - samples/sec: 129.15
2020-05-15 10:53:15,275 ----------------------------------------------------------------------------------------------------
2020-05-15 10:53:15,276 EPOCH 80 done: loss 0.8573 - lr 0.0500000
2020-05-15 10:53:15,276 BAD EPOCHS (no improvement): 0
2020-05-15 10:53:15,276 ----------------------------------------------------------------------------------------------------
2020-05-15 10:54:20,955 epoch 81 - iter 265/2650 - loss 0.79923910 - samples/sec: 129.16
2020-05-15 10:55:26,616 epoch 81 - iter 530/2650 - loss 0.80895967 - samples/sec: 129.22
2020-05-15 10:56:32,383 epoch 81 - iter 795/2650 - loss 0.82646300 - samples/sec: 129.01
2020-05-15 10:57:39,749 epoch 81 - iter 1060/2650 - loss 0.83342485 - samples/sec: 125.94
2020-05-15 10:58:44,837 epoch 81 - iter 1325/2650 - loss 0.83997695 - samples/sec: 130.36
2020-05-15 10:59:50,755 epoch 81 - iter 1590/2650 - loss 0.84285469 - samples/sec: 128.71
2020-05-15 11:00:55,275 epoch 81 - iter 1855/2650 - loss 0.84171657 - samples/sec: 131.50
2020-05-15 11:02:00,261 epoch 81 - iter 2120/2650 - loss 0.84719889 - samples/sec: 130.56
2020-05-15 11:03:06,193 epoch 81 - iter 2385/2650 - loss 0.84751057 - samples/sec: 128.68
2020-05-15 11:04:12,342 epoch 81 - iter 2650/2650 - loss 0.85053870 - samples/sec: 128.26
2020-05-15 11:04:12,356 ----------------------------------------------------------------------------------------------------
2020-05-15 11:04:12,357 EPOCH 81 done: loss 0.8505 - lr 0.0500000
2020-05-15 11:04:12,357 BAD EPOCHS (no improvement): 0
2020-05-15 11:04:12,357 ----------------------------------------------------------------------------------------------------
2020-05-15 11:05:17,352 epoch 82 - iter 265/2650 - loss 0.84509290 - samples/sec: 130.52
2020-05-15 11:06:23,082 epoch 82 - iter 530/2650 - loss 0.82414514 - samples/sec: 129.08
2020-05-15 11:07:28,007 epoch 82 - iter 795/2650 - loss 0.83310518 - samples/sec: 130.68
2020-05-15 11:08:34,633 epoch 82 - iter 1060/2650 - loss 0.84134527 - samples/sec: 127.34
2020-05-15 11:09:39,655 epoch 82 - iter 1325/2650 - loss 0.84292522 - samples/sec: 130.49
2020-05-15 11:10:44,787 epoch 82 - iter 1590/2650 - loss 0.84138438 - samples/sec: 130.27
2020-05-15 11:11:48,777 epoch 82 - iter 1855/2650 - loss 0.83867611 - samples/sec: 132.59
2020-05-15 11:12:54,455 epoch 82 - iter 2120/2650 - loss 0.84059514 - samples/sec: 129.18
2020-05-15 11:14:00,040 epoch 82 - iter 2385/2650 - loss 0.84073269 - samples/sec: 129.37
2020-05-15 11:15:07,844 epoch 82 - iter 2650/2650 - loss 0.84165921 - samples/sec: 125.13
2020-05-15 11:15:07,859 ----------------------------------------------------------------------------------------------------
2020-05-15 11:15:07,859 EPOCH 82 done: loss 0.8417 - lr 0.0500000
2020-05-15 11:15:07,859 BAD EPOCHS (no improvement): 0
2020-05-15 11:15:07,859 ----------------------------------------------------------------------------------------------------
2020-05-15 11:16:13,718 epoch 83 - iter 265/2650 - loss 0.83729181 - samples/sec: 128.81
2020-05-15 11:17:19,304 epoch 83 - iter 530/2650 - loss 0.82793851 - samples/sec: 129.36
2020-05-15 11:18:24,598 epoch 83 - iter 795/2650 - loss 0.82702060 - samples/sec: 129.94
2020-05-15 11:19:31,316 epoch 83 - iter 1060/2650 - loss 0.82858778 - samples/sec: 127.17
2020-05-15 11:20:36,668 epoch 83 - iter 1325/2650 - loss 0.82923226 - samples/sec: 129.83
2020-05-15 11:21:42,355 epoch 83 - iter 1590/2650 - loss 0.83132642 - samples/sec: 129.17
2020-05-15 11:22:47,914 epoch 83 - iter 1855/2650 - loss 0.83155433 - samples/sec: 129.42
2020-05-15 11:23:54,423 epoch 83 - iter 2120/2650 - loss 0.83564296 - samples/sec: 127.57
2020-05-15 11:24:59,161 epoch 83 - iter 2385/2650 - loss 0.84001158 - samples/sec: 131.06
2020-05-15 11:26:06,628 epoch 83 - iter 2650/2650 - loss 0.84049212 - samples/sec: 125.76
2020-05-15 11:26:06,642 ----------------------------------------------------------------------------------------------------
2020-05-15 11:26:06,642 EPOCH 83 done: loss 0.8405 - lr 0.0500000
2020-05-15 11:26:06,642 BAD EPOCHS (no improvement): 0
2020-05-15 11:26:06,642 ----------------------------------------------------------------------------------------------------
2020-05-15 11:27:11,081 epoch 84 - iter 265/2650 - loss 0.82144645 - samples/sec: 131.65
2020-05-15 11:28:15,596 epoch 84 - iter 530/2650 - loss 0.82806121 - samples/sec: 131.51
2020-05-15 11:29:21,275 epoch 84 - iter 795/2650 - loss 0.82672340 - samples/sec: 129.18
2020-05-15 11:30:27,554 epoch 84 - iter 1060/2650 - loss 0.82178067 - samples/sec: 128.01
2020-05-15 11:31:34,734 epoch 84 - iter 1325/2650 - loss 0.82082946 - samples/sec: 126.29
2020-05-15 11:32:40,494 epoch 84 - iter 1590/2650 - loss 0.82547251 - samples/sec: 129.02
2020-05-15 11:33:46,253 epoch 84 - iter 1855/2650 - loss 0.82681593 - samples/sec: 129.02
2020-05-15 11:34:52,380 epoch 84 - iter 2120/2650 - loss 0.82746922 - samples/sec: 128.30
2020-05-15 11:35:58,803 epoch 84 - iter 2385/2650 - loss 0.82861349 - samples/sec: 127.73
2020-05-15 11:37:04,254 epoch 84 - iter 2650/2650 - loss 0.82694846 - samples/sec: 129.63
2020-05-15 11:37:04,268 ----------------------------------------------------------------------------------------------------
2020-05-15 11:37:04,268 EPOCH 84 done: loss 0.8269 - lr 0.0500000
2020-05-15 11:37:04,268 BAD EPOCHS (no improvement): 0
2020-05-15 11:37:04,268 ----------------------------------------------------------------------------------------------------
2020-05-15 11:38:10,277 epoch 85 - iter 265/2650 - loss 0.80230298 - samples/sec: 128.52
2020-05-15 11:39:16,201 epoch 85 - iter 530/2650 - loss 0.82156121 - samples/sec: 128.70
2020-05-15 11:40:24,021 epoch 85 - iter 795/2650 - loss 0.83014919 - samples/sec: 125.10
2020-05-15 11:41:29,719 epoch 85 - iter 1060/2650 - loss 0.82872794 - samples/sec: 129.14
2020-05-15 11:42:36,602 epoch 85 - iter 1325/2650 - loss 0.82693209 - samples/sec: 126.86
2020-05-15 11:43:41,865 epoch 85 - iter 1590/2650 - loss 0.82397426 - samples/sec: 130.00
2020-05-15 11:44:47,537 epoch 85 - iter 1855/2650 - loss 0.82705385 - samples/sec: 129.19
2020-05-15 11:45:55,991 epoch 85 - iter 2120/2650 - loss 0.82857701 - samples/sec: 123.94
2020-05-15 11:47:01,805 epoch 85 - iter 2385/2650 - loss 0.82777946 - samples/sec: 128.92
2020-05-15 11:48:07,077 epoch 85 - iter 2650/2650 - loss 0.82591048 - samples/sec: 129.99
2020-05-15 11:48:07,091 ----------------------------------------------------------------------------------------------------
2020-05-15 11:48:07,092 EPOCH 85 done: loss 0.8259 - lr 0.0500000
2020-05-15 11:48:07,092 BAD EPOCHS (no improvement): 0
2020-05-15 11:48:07,092 ----------------------------------------------------------------------------------------------------
2020-05-15 11:49:13,700 epoch 86 - iter 265/2650 - loss 0.79830657 - samples/sec: 127.36
2020-05-15 11:50:18,336 epoch 86 - iter 530/2650 - loss 0.79130886 - samples/sec: 131.27
2020-05-15 11:51:24,544 epoch 86 - iter 795/2650 - loss 0.80164429 - samples/sec: 128.15
2020-05-15 11:52:30,078 epoch 86 - iter 1060/2650 - loss 0.80609616 - samples/sec: 129.47
2020-05-15 11:53:34,834 epoch 86 - iter 1325/2650 - loss 0.80570604 - samples/sec: 131.02
2020-05-15 11:54:39,978 epoch 86 - iter 1590/2650 - loss 0.80988802 - samples/sec: 130.24
2020-05-15 11:55:44,905 epoch 86 - iter 1855/2650 - loss 0.81303665 - samples/sec: 130.68
2020-05-15 11:56:48,125 epoch 86 - iter 2120/2650 - loss 0.81721594 - samples/sec: 134.21
2020-05-15 11:57:52,489 epoch 86 - iter 2385/2650 - loss 0.81189854 - samples/sec: 131.82
2020-05-15 11:58:57,378 epoch 86 - iter 2650/2650 - loss 0.81428838 - samples/sec: 130.76
2020-05-15 11:58:57,391 ----------------------------------------------------------------------------------------------------
2020-05-15 11:58:57,391 EPOCH 86 done: loss 0.8143 - lr 0.0500000
2020-05-15 11:58:57,391 BAD EPOCHS (no improvement): 0
2020-05-15 11:58:57,392 ----------------------------------------------------------------------------------------------------
2020-05-15 12:00:02,323 epoch 87 - iter 265/2650 - loss 0.82046059 - samples/sec: 130.65
2020-05-15 12:01:06,932 epoch 87 - iter 530/2650 - loss 0.81914467 - samples/sec: 131.32
2020-05-15 12:02:10,863 epoch 87 - iter 795/2650 - loss 0.81519189 - samples/sec: 132.71
2020-05-15 12:03:15,706 epoch 87 - iter 1060/2650 - loss 0.81314162 - samples/sec: 130.84
2020-05-15 12:04:19,080 epoch 87 - iter 1325/2650 - loss 0.81554818 - samples/sec: 133.88
2020-05-15 12:05:23,746 epoch 87 - iter 1590/2650 - loss 0.81391981 - samples/sec: 131.20
2020-05-15 12:06:27,085 epoch 87 - iter 1855/2650 - loss 0.81629610 - samples/sec: 133.95
2020-05-15 12:07:29,680 epoch 87 - iter 2120/2650 - loss 0.81581687 - samples/sec: 135.55
2020-05-15 12:08:32,786 epoch 87 - iter 2385/2650 - loss 0.81535604 - samples/sec: 134.45
2020-05-15 12:09:37,173 epoch 87 - iter 2650/2650 - loss 0.81501335 - samples/sec: 131.77
2020-05-15 12:09:37,187 ----------------------------------------------------------------------------------------------------
2020-05-15 12:09:37,187 EPOCH 87 done: loss 0.8150 - lr 0.0500000
2020-05-15 12:09:37,187 BAD EPOCHS (no improvement): 1
2020-05-15 12:09:37,187 ----------------------------------------------------------------------------------------------------
2020-05-15 12:10:41,836 epoch 88 - iter 265/2650 - loss 0.81296903 - samples/sec: 131.22
2020-05-15 12:11:45,249 epoch 88 - iter 530/2650 - loss 0.81610988 - samples/sec: 133.80
2020-05-15 12:12:48,291 epoch 88 - iter 795/2650 - loss 0.80770643 - samples/sec: 134.58
2020-05-15 12:13:50,944 epoch 88 - iter 1060/2650 - loss 0.80948844 - samples/sec: 135.42
2020-05-15 12:14:54,910 epoch 88 - iter 1325/2650 - loss 0.81518218 - samples/sec: 132.64
2020-05-15 12:15:59,394 epoch 88 - iter 1590/2650 - loss 0.80950101 - samples/sec: 131.57
2020-05-15 12:17:04,599 epoch 88 - iter 1855/2650 - loss 0.80960485 - samples/sec: 130.12
2020-05-15 12:18:08,079 epoch 88 - iter 2120/2650 - loss 0.80995546 - samples/sec: 133.65
2020-05-15 12:19:11,847 epoch 88 - iter 2385/2650 - loss 0.81153501 - samples/sec: 133.05
2020-05-15 12:20:15,415 epoch 88 - iter 2650/2650 - loss 0.81506851 - samples/sec: 133.47
2020-05-15 12:20:15,429 ----------------------------------------------------------------------------------------------------
2020-05-15 12:20:15,429 EPOCH 88 done: loss 0.8151 - lr 0.0500000
2020-05-15 12:20:15,429 BAD EPOCHS (no improvement): 2
2020-05-15 12:20:15,429 ----------------------------------------------------------------------------------------------------
2020-05-15 12:21:19,327 epoch 89 - iter 265/2650 - loss 0.80004573 - samples/sec: 132.76
2020-05-15 12:22:22,884 epoch 89 - iter 530/2650 - loss 0.81408720 - samples/sec: 133.50
2020-05-15 12:23:26,301 epoch 89 - iter 795/2650 - loss 0.80731275 - samples/sec: 133.79
2020-05-15 12:24:31,491 epoch 89 - iter 1060/2650 - loss 0.81051518 - samples/sec: 130.15
2020-05-15 12:25:35,474 epoch 89 - iter 1325/2650 - loss 0.81290321 - samples/sec: 132.61
2020-05-15 12:26:40,905 epoch 89 - iter 1590/2650 - loss 0.81397930 - samples/sec: 129.67
2020-05-15 12:27:44,177 epoch 89 - iter 1855/2650 - loss 0.81050713 - samples/sec: 134.10
2020-05-15 12:28:47,584 epoch 89 - iter 2120/2650 - loss 0.80999093 - samples/sec: 133.81
2020-05-15 12:29:51,505 epoch 89 - iter 2385/2650 - loss 0.80980140 - samples/sec: 132.73
2020-05-15 12:30:54,711 epoch 89 - iter 2650/2650 - loss 0.81265635 - samples/sec: 134.24
2020-05-15 12:30:54,725 ----------------------------------------------------------------------------------------------------
2020-05-15 12:30:54,725 EPOCH 89 done: loss 0.8127 - lr 0.0500000
2020-05-15 12:30:54,725 BAD EPOCHS (no improvement): 0
2020-05-15 12:30:54,725 ----------------------------------------------------------------------------------------------------
2020-05-15 12:31:57,172 epoch 90 - iter 265/2650 - loss 0.81832218 - samples/sec: 135.85
2020-05-15 12:33:02,712 epoch 90 - iter 530/2650 - loss 0.80415597 - samples/sec: 129.45
2020-05-15 12:34:05,497 epoch 90 - iter 795/2650 - loss 0.80578099 - samples/sec: 135.14
2020-05-15 12:35:09,115 epoch 90 - iter 1060/2650 - loss 0.80055521 - samples/sec: 133.37
2020-05-15 12:36:12,029 epoch 90 - iter 1325/2650 - loss 0.79937517 - samples/sec: 134.86
2020-05-15 12:37:15,939 epoch 90 - iter 1590/2650 - loss 0.80063094 - samples/sec: 132.75
2020-05-15 12:38:20,383 epoch 90 - iter 1855/2650 - loss 0.80370574 - samples/sec: 131.65
2020-05-15 12:39:23,572 epoch 90 - iter 2120/2650 - loss 0.80653041 - samples/sec: 134.27
2020-05-15 12:40:27,864 epoch 90 - iter 2385/2650 - loss 0.80561720 - samples/sec: 131.97
2020-05-15 12:41:32,029 epoch 90 - iter 2650/2650 - loss 0.80733796 - samples/sec: 132.23
2020-05-15 12:41:32,043 ----------------------------------------------------------------------------------------------------
2020-05-15 12:41:32,043 EPOCH 90 done: loss 0.8073 - lr 0.0500000
2020-05-15 12:41:32,043 BAD EPOCHS (no improvement): 0
2020-05-15 12:41:32,043 ----------------------------------------------------------------------------------------------------
2020-05-15 12:42:35,223 epoch 91 - iter 265/2650 - loss 0.82464737 - samples/sec: 134.27
2020-05-15 12:43:40,547 epoch 91 - iter 530/2650 - loss 0.81586374 - samples/sec: 129.88
2020-05-15 12:44:44,148 epoch 91 - iter 795/2650 - loss 0.81299472 - samples/sec: 133.40
2020-05-15 12:45:47,565 epoch 91 - iter 1060/2650 - loss 0.80598388 - samples/sec: 133.79
2020-05-15 12:46:52,801 epoch 91 - iter 1325/2650 - loss 0.80740563 - samples/sec: 130.05
2020-05-15 12:47:56,302 epoch 91 - iter 1590/2650 - loss 0.80872643 - samples/sec: 133.61
2020-05-15 12:48:59,824 epoch 91 - iter 1855/2650 - loss 0.80776579 - samples/sec: 133.57
2020-05-15 12:50:04,152 epoch 91 - iter 2120/2650 - loss 0.80755694 - samples/sec: 131.89
2020-05-15 12:51:06,895 epoch 91 - iter 2385/2650 - loss 0.80507338 - samples/sec: 135.23
2020-05-15 12:52:12,106 epoch 91 - iter 2650/2650 - loss 0.80446280 - samples/sec: 130.11
2020-05-15 12:52:12,130 ----------------------------------------------------------------------------------------------------
2020-05-15 12:52:12,130 EPOCH 91 done: loss 0.8045 - lr 0.0500000
2020-05-15 12:52:12,130 BAD EPOCHS (no improvement): 0
2020-05-15 12:52:12,130 ----------------------------------------------------------------------------------------------------
2020-05-15 12:53:14,303 epoch 92 - iter 265/2650 - loss 0.76794652 - samples/sec: 136.46
2020-05-15 12:54:17,844 epoch 92 - iter 530/2650 - loss 0.77222910 - samples/sec: 133.53
2020-05-15 12:55:21,396 epoch 92 - iter 795/2650 - loss 0.76960212 - samples/sec: 133.50
2020-05-15 12:56:24,051 epoch 92 - iter 1060/2650 - loss 0.77613541 - samples/sec: 135.42
2020-05-15 12:57:28,283 epoch 92 - iter 1325/2650 - loss 0.78386851 - samples/sec: 132.09
2020-05-15 12:58:31,458 epoch 92 - iter 1590/2650 - loss 0.78371112 - samples/sec: 134.30
2020-05-15 12:59:34,522 epoch 92 - iter 1855/2650 - loss 0.78721737 - samples/sec: 134.54
2020-05-15 13:00:39,850 epoch 92 - iter 2120/2650 - loss 0.78895072 - samples/sec: 129.87
2020-05-15 13:01:42,591 epoch 92 - iter 2385/2650 - loss 0.79034240 - samples/sec: 135.23
2020-05-15 13:02:46,484 epoch 92 - iter 2650/2650 - loss 0.79353392 - samples/sec: 132.79
2020-05-15 13:02:46,497 ----------------------------------------------------------------------------------------------------
2020-05-15 13:02:46,497 EPOCH 92 done: loss 0.7935 - lr 0.0500000
2020-05-15 13:02:46,497 BAD EPOCHS (no improvement): 0
2020-05-15 13:02:46,497 ----------------------------------------------------------------------------------------------------
2020-05-15 13:03:49,127 epoch 93 - iter 265/2650 - loss 0.79433664 - samples/sec: 135.45
2020-05-15 13:04:52,999 epoch 93 - iter 530/2650 - loss 0.80024202 - samples/sec: 132.83
2020-05-15 13:05:56,424 epoch 93 - iter 795/2650 - loss 0.81136124 - samples/sec: 133.77
2020-05-15 13:06:58,897 epoch 93 - iter 1060/2650 - loss 0.80226996 - samples/sec: 135.81
2020-05-15 13:08:02,800 epoch 93 - iter 1325/2650 - loss 0.80181057 - samples/sec: 132.77
2020-05-15 13:09:05,658 epoch 93 - iter 1590/2650 - loss 0.80324979 - samples/sec: 134.98
2020-05-15 13:10:09,523 epoch 93 - iter 1855/2650 - loss 0.80080910 - samples/sec: 132.85
2020-05-15 13:11:13,063 epoch 93 - iter 2120/2650 - loss 0.79854386 - samples/sec: 133.53
2020-05-15 13:12:16,327 epoch 93 - iter 2385/2650 - loss 0.79656311 - samples/sec: 134.11
2020-05-15 13:13:17,773 epoch 93 - iter 2650/2650 - loss 0.79999994 - samples/sec: 138.08
2020-05-15 13:13:17,786 ----------------------------------------------------------------------------------------------------
2020-05-15 13:13:17,786 EPOCH 93 done: loss 0.8000 - lr 0.0500000
2020-05-15 13:13:17,786 BAD EPOCHS (no improvement): 1
2020-05-15 13:13:17,786 ----------------------------------------------------------------------------------------------------
2020-05-15 13:14:21,421 epoch 94 - iter 265/2650 - loss 0.78495930 - samples/sec: 133.31
2020-05-15 13:15:23,892 epoch 94 - iter 530/2650 - loss 0.79199558 - samples/sec: 135.81
2020-05-15 13:16:26,498 epoch 94 - iter 795/2650 - loss 0.77346854 - samples/sec: 135.52
2020-05-15 13:17:36,849 epoch 94 - iter 1060/2650 - loss 0.77147773 - samples/sec: 120.59
2020-05-15 13:18:42,458 epoch 94 - iter 1325/2650 - loss 0.77574522 - samples/sec: 129.32
2020-05-15 13:19:43,885 epoch 94 - iter 1590/2650 - loss 0.77781641 - samples/sec: 138.12
2020-05-15 13:20:45,339 epoch 94 - iter 1855/2650 - loss 0.77930894 - samples/sec: 138.06
2020-05-15 13:21:49,418 epoch 94 - iter 2120/2650 - loss 0.77912045 - samples/sec: 132.41
2020-05-15 13:22:53,954 epoch 94 - iter 2385/2650 - loss 0.78516190 - samples/sec: 131.47
2020-05-15 13:23:57,212 epoch 94 - iter 2650/2650 - loss 0.78555444 - samples/sec: 134.13
2020-05-15 13:23:57,225 ----------------------------------------------------------------------------------------------------
2020-05-15 13:23:57,225 EPOCH 94 done: loss 0.7856 - lr 0.0500000
2020-05-15 13:23:57,225 BAD EPOCHS (no improvement): 0
2020-05-15 13:23:57,225 ----------------------------------------------------------------------------------------------------
2020-05-15 13:25:01,309 epoch 95 - iter 265/2650 - loss 0.79143778 - samples/sec: 132.38
2020-05-15 13:26:02,873 epoch 95 - iter 530/2650 - loss 0.76521230 - samples/sec: 137.82
2020-05-15 13:27:06,739 epoch 95 - iter 795/2650 - loss 0.77196814 - samples/sec: 132.85
2020-05-15 13:28:09,664 epoch 95 - iter 1060/2650 - loss 0.77738699 - samples/sec: 134.83
2020-05-15 13:29:13,002 epoch 95 - iter 1325/2650 - loss 0.78224318 - samples/sec: 133.95
2020-05-15 13:30:17,019 epoch 95 - iter 1590/2650 - loss 0.77797218 - samples/sec: 132.53
2020-05-15 13:31:20,067 epoch 95 - iter 1855/2650 - loss 0.78178259 - samples/sec: 134.57
2020-05-15 13:32:23,607 epoch 95 - iter 2120/2650 - loss 0.78384530 - samples/sec: 133.53
2020-05-15 13:33:28,219 epoch 95 - iter 2385/2650 - loss 0.78509533 - samples/sec: 131.31
2020-05-15 13:34:30,734 epoch 95 - iter 2650/2650 - loss 0.78529349 - samples/sec: 135.72
2020-05-15 13:34:30,747 ----------------------------------------------------------------------------------------------------
2020-05-15 13:34:30,747 EPOCH 95 done: loss 0.7853 - lr 0.0500000
2020-05-15 13:34:30,747 BAD EPOCHS (no improvement): 0
2020-05-15 13:34:30,747 ----------------------------------------------------------------------------------------------------
2020-05-15 13:35:33,185 epoch 96 - iter 265/2650 - loss 0.77414150 - samples/sec: 135.87
2020-05-15 13:36:38,472 epoch 96 - iter 530/2650 - loss 0.78470833 - samples/sec: 129.95
2020-05-15 13:37:41,498 epoch 96 - iter 795/2650 - loss 0.77622864 - samples/sec: 134.62
2020-05-15 13:38:44,652 epoch 96 - iter 1060/2650 - loss 0.77295581 - samples/sec: 134.34
2020-05-15 13:39:48,041 epoch 96 - iter 1325/2650 - loss 0.77727253 - samples/sec: 133.85
2020-05-15 13:40:53,287 epoch 96 - iter 1590/2650 - loss 0.77841232 - samples/sec: 130.04
2020-05-15 13:41:56,356 epoch 96 - iter 1855/2650 - loss 0.77659110 - samples/sec: 134.52
2020-05-15 13:43:00,414 epoch 96 - iter 2120/2650 - loss 0.77786601 - samples/sec: 132.45
2020-05-15 13:44:03,352 epoch 96 - iter 2385/2650 - loss 0.78131744 - samples/sec: 134.81
2020-05-15 13:45:07,311 epoch 96 - iter 2650/2650 - loss 0.78230027 - samples/sec: 132.66
2020-05-15 13:45:07,324 ----------------------------------------------------------------------------------------------------
2020-05-15 13:45:07,324 EPOCH 96 done: loss 0.7823 - lr 0.0500000
2020-05-15 13:45:07,324 BAD EPOCHS (no improvement): 0
2020-05-15 13:45:07,324 ----------------------------------------------------------------------------------------------------
2020-05-15 13:46:09,837 epoch 97 - iter 265/2650 - loss 0.78699079 - samples/sec: 135.70
2020-05-15 13:47:13,065 epoch 97 - iter 530/2650 - loss 0.78841982 - samples/sec: 134.19
2020-05-15 13:48:18,265 epoch 97 - iter 795/2650 - loss 0.77874584 - samples/sec: 130.13
2020-05-15 13:49:23,488 epoch 97 - iter 1060/2650 - loss 0.78127004 - samples/sec: 130.08
2020-05-15 13:50:27,414 epoch 97 - iter 1325/2650 - loss 0.78182702 - samples/sec: 132.72
2020-05-15 13:51:29,881 epoch 97 - iter 1590/2650 - loss 0.78204004 - samples/sec: 135.82
2020-05-15 13:52:33,862 epoch 97 - iter 1855/2650 - loss 0.78630568 - samples/sec: 132.61
2020-05-15 13:53:36,627 epoch 97 - iter 2120/2650 - loss 0.78657819 - samples/sec: 135.18
2020-05-15 13:54:41,240 epoch 97 - iter 2385/2650 - loss 0.78890447 - samples/sec: 131.31
2020-05-15 13:55:44,549 epoch 97 - iter 2650/2650 - loss 0.78470040 - samples/sec: 134.02
2020-05-15 13:55:44,563 ----------------------------------------------------------------------------------------------------
2020-05-15 13:55:44,563 EPOCH 97 done: loss 0.7847 - lr 0.0500000
2020-05-15 13:55:44,563 BAD EPOCHS (no improvement): 1
2020-05-15 13:55:44,563 ----------------------------------------------------------------------------------------------------
2020-05-15 13:56:48,558 epoch 98 - iter 265/2650 - loss 0.75720757 - samples/sec: 132.56
2020-05-15 13:57:51,197 epoch 98 - iter 530/2650 - loss 0.75794395 - samples/sec: 135.45
2020-05-15 13:58:55,472 epoch 98 - iter 795/2650 - loss 0.76537641 - samples/sec: 132.00
2020-05-15 14:00:00,504 epoch 98 - iter 1060/2650 - loss 0.76699675 - samples/sec: 130.46
2020-05-15 14:01:04,391 epoch 98 - iter 1325/2650 - loss 0.77435577 - samples/sec: 132.80
2020-05-15 14:02:08,582 epoch 98 - iter 1590/2650 - loss 0.77654102 - samples/sec: 132.17
2020-05-15 14:03:13,434 epoch 98 - iter 1855/2650 - loss 0.77851105 - samples/sec: 130.83
2020-05-15 14:04:18,400 epoch 98 - iter 2120/2650 - loss 0.77850416 - samples/sec: 130.60
2020-05-15 14:05:23,107 epoch 98 - iter 2385/2650 - loss 0.77905657 - samples/sec: 131.12
2020-05-15 14:06:25,397 epoch 98 - iter 2650/2650 - loss 0.78129220 - samples/sec: 136.21
2020-05-15 14:06:25,411 ----------------------------------------------------------------------------------------------------
2020-05-15 14:06:25,411 EPOCH 98 done: loss 0.7813 - lr 0.0500000
2020-05-15 14:06:25,411 BAD EPOCHS (no improvement): 0
2020-05-15 14:06:25,411 ----------------------------------------------------------------------------------------------------
2020-05-15 14:07:28,150 epoch 99 - iter 265/2650 - loss 0.77055443 - samples/sec: 135.22
2020-05-15 14:08:32,257 epoch 99 - iter 530/2650 - loss 0.76934112 - samples/sec: 132.35
2020-05-15 14:09:37,088 epoch 99 - iter 795/2650 - loss 0.77327182 - samples/sec: 130.87
2020-05-15 14:10:42,137 epoch 99 - iter 1060/2650 - loss 0.76791615 - samples/sec: 130.43
2020-05-15 14:11:46,352 epoch 99 - iter 1325/2650 - loss 0.76867852 - samples/sec: 132.12
2020-05-15 14:12:49,526 epoch 99 - iter 1590/2650 - loss 0.77194093 - samples/sec: 134.30
2020-05-15 14:13:55,868 epoch 99 - iter 1855/2650 - loss 0.77215479 - samples/sec: 127.89
2020-05-15 14:15:00,138 epoch 99 - iter 2120/2650 - loss 0.77458423 - samples/sec: 132.01
2020-05-15 14:16:04,067 epoch 99 - iter 2385/2650 - loss 0.77578717 - samples/sec: 132.72
2020-05-15 14:17:07,885 epoch 99 - iter 2650/2650 - loss 0.77655072 - samples/sec: 132.95
2020-05-15 14:17:07,899 ----------------------------------------------------------------------------------------------------
2020-05-15 14:17:07,899 EPOCH 99 done: loss 0.7766 - lr 0.0500000
2020-05-15 14:17:07,899 BAD EPOCHS (no improvement): 0
2020-05-15 14:17:07,899 ----------------------------------------------------------------------------------------------------
2020-05-15 14:18:11,261 epoch 100 - iter 265/2650 - loss 0.76925769 - samples/sec: 133.89
2020-05-15 14:19:14,349 epoch 100 - iter 530/2650 - loss 0.75312224 - samples/sec: 134.48
2020-05-15 14:20:20,154 epoch 100 - iter 795/2650 - loss 0.75056008 - samples/sec: 128.93
2020-05-15 14:21:25,112 epoch 100 - iter 1060/2650 - loss 0.75553694 - samples/sec: 130.61
2020-05-15 14:22:30,248 epoch 100 - iter 1325/2650 - loss 0.75811905 - samples/sec: 130.26
2020-05-15 14:23:36,166 epoch 100 - iter 1590/2650 - loss 0.76077192 - samples/sec: 128.71
2020-05-15 14:24:39,139 epoch 100 - iter 1855/2650 - loss 0.76485995 - samples/sec: 134.73
2020-05-15 14:25:45,429 epoch 100 - iter 2120/2650 - loss 0.76745860 - samples/sec: 127.99
2020-05-15 14:26:49,162 epoch 100 - iter 2385/2650 - loss 0.76959048 - samples/sec: 133.13
2020-05-15 14:27:54,850 epoch 100 - iter 2650/2650 - loss 0.77134695 - samples/sec: 129.16
2020-05-15 14:27:54,864 ----------------------------------------------------------------------------------------------------
2020-05-15 14:27:54,864 EPOCH 100 done: loss 0.7713 - lr 0.0500000
2020-05-15 14:27:54,864 BAD EPOCHS (no improvement): 0
2020-05-15 14:27:54,865 ----------------------------------------------------------------------------------------------------
2020-05-15 14:28:58,751 epoch 101 - iter 265/2650 - loss 0.75334897 - samples/sec: 132.79
2020-05-15 14:30:03,466 epoch 101 - iter 530/2650 - loss 0.76793556 - samples/sec: 131.11
2020-05-15 14:31:07,620 epoch 101 - iter 795/2650 - loss 0.76876898 - samples/sec: 132.26
2020-05-15 14:32:13,739 epoch 101 - iter 1060/2650 - loss 0.76134272 - samples/sec: 128.32
2020-05-15 14:33:18,869 epoch 101 - iter 1325/2650 - loss 0.76313394 - samples/sec: 130.27
2020-05-15 14:34:24,482 epoch 101 - iter 1590/2650 - loss 0.76453907 - samples/sec: 129.31
2020-05-15 14:35:31,426 epoch 101 - iter 1855/2650 - loss 0.76303014 - samples/sec: 126.74
2020-05-15 14:36:37,919 epoch 101 - iter 2120/2650 - loss 0.76558788 - samples/sec: 127.60
2020-05-15 14:37:41,499 epoch 101 - iter 2385/2650 - loss 0.76649760 - samples/sec: 133.44
2020-05-15 14:38:45,482 epoch 101 - iter 2650/2650 - loss 0.76893686 - samples/sec: 132.61
2020-05-15 14:38:45,495 ----------------------------------------------------------------------------------------------------
2020-05-15 14:38:45,495 EPOCH 101 done: loss 0.7689 - lr 0.0500000
2020-05-15 14:38:45,495 BAD EPOCHS (no improvement): 0
2020-05-15 14:38:45,495 ----------------------------------------------------------------------------------------------------
2020-05-15 14:39:51,108 epoch 102 - iter 265/2650 - loss 0.72490080 - samples/sec: 129.29
2020-05-15 14:40:55,198 epoch 102 - iter 530/2650 - loss 0.75986085 - samples/sec: 132.38
2020-05-15 14:42:00,792 epoch 102 - iter 795/2650 - loss 0.75969434 - samples/sec: 129.35
2020-05-15 14:43:06,979 epoch 102 - iter 1060/2650 - loss 0.75990049 - samples/sec: 128.19
2020-05-15 14:44:14,104 epoch 102 - iter 1325/2650 - loss 0.76232134 - samples/sec: 126.40
2020-05-15 14:45:21,531 epoch 102 - iter 1590/2650 - loss 0.76562224 - samples/sec: 125.83
2020-05-15 14:46:24,372 epoch 102 - iter 1855/2650 - loss 0.76406037 - samples/sec: 135.02
2020-05-15 14:47:28,850 epoch 102 - iter 2120/2650 - loss 0.75710549 - samples/sec: 131.59
2020-05-15 14:48:33,454 epoch 102 - iter 2385/2650 - loss 0.76084984 - samples/sec: 131.33
2020-05-15 14:49:40,265 epoch 102 - iter 2650/2650 - loss 0.76491352 - samples/sec: 126.99
2020-05-15 14:49:40,278 ----------------------------------------------------------------------------------------------------
2020-05-15 14:49:40,278 EPOCH 102 done: loss 0.7649 - lr 0.0500000
2020-05-15 14:49:40,278 BAD EPOCHS (no improvement): 0
2020-05-15 14:49:40,279 ----------------------------------------------------------------------------------------------------
2020-05-15 14:50:44,211 epoch 103 - iter 265/2650 - loss 0.76159228 - samples/sec: 132.69
2020-05-15 14:51:47,943 epoch 103 - iter 530/2650 - loss 0.75883515 - samples/sec: 133.13
2020-05-15 14:52:51,353 epoch 103 - iter 795/2650 - loss 0.75123594 - samples/sec: 133.80
2020-05-15 14:53:55,615 epoch 103 - iter 1060/2650 - loss 0.75995102 - samples/sec: 132.03
2020-05-15 14:55:01,614 epoch 103 - iter 1325/2650 - loss 0.75862878 - samples/sec: 128.55
2020-05-15 14:56:05,000 epoch 103 - iter 1590/2650 - loss 0.75739800 - samples/sec: 133.85
2020-05-15 14:57:10,066 epoch 103 - iter 1855/2650 - loss 0.75937613 - samples/sec: 130.40
2020-05-15 14:58:15,092 epoch 103 - iter 2120/2650 - loss 0.76735279 - samples/sec: 130.48
2020-05-15 14:59:21,069 epoch 103 - iter 2385/2650 - loss 0.77075460 - samples/sec: 128.59
2020-05-15 15:00:28,687 epoch 103 - iter 2650/2650 - loss 0.76989967 - samples/sec: 125.48
2020-05-15 15:00:28,701 ----------------------------------------------------------------------------------------------------
2020-05-15 15:00:28,701 EPOCH 103 done: loss 0.7699 - lr 0.0500000
2020-05-15 15:00:28,701 BAD EPOCHS (no improvement): 1
2020-05-15 15:00:28,701 ----------------------------------------------------------------------------------------------------
2020-05-15 15:01:34,619 epoch 104 - iter 265/2650 - loss 0.75973325 - samples/sec: 128.70
2020-05-15 15:02:40,790 epoch 104 - iter 530/2650 - loss 0.75684432 - samples/sec: 128.22
2020-05-15 15:03:46,648 epoch 104 - iter 795/2650 - loss 0.75307190 - samples/sec: 128.83
2020-05-15 15:04:52,909 epoch 104 - iter 1060/2650 - loss 0.75935192 - samples/sec: 128.05
2020-05-15 15:06:03,442 epoch 104 - iter 1325/2650 - loss 0.76058997 - samples/sec: 120.29
2020-05-15 15:07:09,934 epoch 104 - iter 1590/2650 - loss 0.75963479 - samples/sec: 127.60
2020-05-15 15:08:17,359 epoch 104 - iter 1855/2650 - loss 0.76364390 - samples/sec: 125.83
2020-05-15 15:09:22,784 epoch 104 - iter 2120/2650 - loss 0.75883987 - samples/sec: 129.68
2020-05-15 15:10:27,101 epoch 104 - iter 2385/2650 - loss 0.76042036 - samples/sec: 131.91
2020-05-15 15:11:35,564 epoch 104 - iter 2650/2650 - loss 0.76520680 - samples/sec: 123.93
2020-05-15 15:11:35,578 ----------------------------------------------------------------------------------------------------
2020-05-15 15:11:35,578 EPOCH 104 done: loss 0.7652 - lr 0.0500000
2020-05-15 15:11:35,578 BAD EPOCHS (no improvement): 2
2020-05-15 15:11:35,578 ----------------------------------------------------------------------------------------------------
2020-05-15 15:12:40,436 epoch 105 - iter 265/2650 - loss 0.73773453 - samples/sec: 130.80
2020-05-15 15:13:45,152 epoch 105 - iter 530/2650 - loss 0.74069136 - samples/sec: 131.11
2020-05-15 15:14:51,263 epoch 105 - iter 795/2650 - loss 0.74371219 - samples/sec: 128.34
2020-05-15 15:15:59,649 epoch 105 - iter 1060/2650 - loss 0.74409352 - samples/sec: 124.06
2020-05-15 15:17:07,439 epoch 105 - iter 1325/2650 - loss 0.75195706 - samples/sec: 125.16
2020-05-15 15:18:13,569 epoch 105 - iter 1590/2650 - loss 0.75449199 - samples/sec: 128.30
2020-05-15 15:19:19,721 epoch 105 - iter 1855/2650 - loss 0.75463675 - samples/sec: 128.26
2020-05-15 15:20:25,419 epoch 105 - iter 2120/2650 - loss 0.75692745 - samples/sec: 129.14
2020-05-15 15:21:32,223 epoch 105 - iter 2385/2650 - loss 0.75542652 - samples/sec: 127.00
2020-05-15 15:22:40,270 epoch 105 - iter 2650/2650 - loss 0.75618357 - samples/sec: 124.68
2020-05-15 15:22:40,284 ----------------------------------------------------------------------------------------------------
2020-05-15 15:22:40,284 EPOCH 105 done: loss 0.7562 - lr 0.0500000
2020-05-15 15:22:40,284 BAD EPOCHS (no improvement): 0
2020-05-15 15:22:40,284 ----------------------------------------------------------------------------------------------------
2020-05-15 15:23:45,299 epoch 106 - iter 265/2650 - loss 0.76054210 - samples/sec: 130.48
2020-05-15 15:24:52,836 epoch 106 - iter 530/2650 - loss 0.75908262 - samples/sec: 125.63
2020-05-15 15:26:00,558 epoch 106 - iter 795/2650 - loss 0.75648414 - samples/sec: 125.28
2020-05-15 15:27:06,045 epoch 106 - iter 1060/2650 - loss 0.75443071 - samples/sec: 129.56
2020-05-15 15:28:12,467 epoch 106 - iter 1325/2650 - loss 0.75623682 - samples/sec: 127.74
2020-05-15 15:29:18,891 epoch 106 - iter 1590/2650 - loss 0.75629446 - samples/sec: 127.73
2020-05-15 15:30:24,809 epoch 106 - iter 1855/2650 - loss 0.75700424 - samples/sec: 128.71
2020-05-15 15:31:31,550 epoch 106 - iter 2120/2650 - loss 0.75729560 - samples/sec: 127.13
2020-05-15 15:32:37,758 epoch 106 - iter 2385/2650 - loss 0.76023992 - samples/sec: 128.15
2020-05-15 15:33:42,492 epoch 106 - iter 2650/2650 - loss 0.75721130 - samples/sec: 131.07
2020-05-15 15:33:42,506 ----------------------------------------------------------------------------------------------------
2020-05-15 15:33:42,506 EPOCH 106 done: loss 0.7572 - lr 0.0500000
2020-05-15 15:33:42,506 BAD EPOCHS (no improvement): 1
2020-05-15 15:33:42,507 ----------------------------------------------------------------------------------------------------
2020-05-15 15:34:47,085 epoch 107 - iter 265/2650 - loss 0.75255413 - samples/sec: 131.36
2020-05-15 15:35:53,667 epoch 107 - iter 530/2650 - loss 0.75583691 - samples/sec: 127.43
2020-05-15 15:36:58,903 epoch 107 - iter 795/2650 - loss 0.74536970 - samples/sec: 130.06
2020-05-15 15:38:04,336 epoch 107 - iter 1060/2650 - loss 0.74038391 - samples/sec: 129.67
2020-05-15 15:39:12,426 epoch 107 - iter 1325/2650 - loss 0.74268769 - samples/sec: 124.61
2020-05-15 15:40:17,007 epoch 107 - iter 1590/2650 - loss 0.74511460 - samples/sec: 131.38
2020-05-15 15:41:22,996 epoch 107 - iter 1855/2650 - loss 0.75119061 - samples/sec: 128.57
2020-05-15 15:42:27,233 epoch 107 - iter 2120/2650 - loss 0.75769321 - samples/sec: 132.08
2020-05-15 15:43:33,529 epoch 107 - iter 2385/2650 - loss 0.75747037 - samples/sec: 127.98
2020-05-15 15:44:39,558 epoch 107 - iter 2650/2650 - loss 0.75713004 - samples/sec: 128.50
2020-05-15 15:44:39,571 ----------------------------------------------------------------------------------------------------
2020-05-15 15:44:39,571 EPOCH 107 done: loss 0.7571 - lr 0.0500000
2020-05-15 15:44:39,571 BAD EPOCHS (no improvement): 2
2020-05-15 15:44:39,572 ----------------------------------------------------------------------------------------------------
2020-05-15 15:45:46,205 epoch 108 - iter 265/2650 - loss 0.73220794 - samples/sec: 127.31
2020-05-15 15:46:50,984 epoch 108 - iter 530/2650 - loss 0.72766391 - samples/sec: 130.98
2020-05-15 15:47:57,019 epoch 108 - iter 795/2650 - loss 0.73549492 - samples/sec: 128.48
2020-05-15 15:49:00,219 epoch 108 - iter 1060/2650 - loss 0.74064858 - samples/sec: 134.25
2020-05-15 15:50:05,442 epoch 108 - iter 1325/2650 - loss 0.73944586 - samples/sec: 130.08
2020-05-15 15:51:10,145 epoch 108 - iter 1590/2650 - loss 0.74014088 - samples/sec: 131.13
2020-05-15 15:52:16,194 epoch 108 - iter 1855/2650 - loss 0.74618336 - samples/sec: 128.46
2020-05-15 15:53:20,801 epoch 108 - iter 2120/2650 - loss 0.74932868 - samples/sec: 131.32
2020-05-15 15:54:27,740 epoch 108 - iter 2385/2650 - loss 0.74861187 - samples/sec: 126.75
2020-05-15 15:55:31,875 epoch 108 - iter 2650/2650 - loss 0.74997649 - samples/sec: 132.29
2020-05-15 15:55:31,889 ----------------------------------------------------------------------------------------------------
2020-05-15 15:55:31,889 EPOCH 108 done: loss 0.7500 - lr 0.0500000
2020-05-15 15:55:31,889 BAD EPOCHS (no improvement): 0
2020-05-15 15:55:31,889 ----------------------------------------------------------------------------------------------------
2020-05-15 15:56:37,920 epoch 109 - iter 265/2650 - loss 0.72354043 - samples/sec: 128.48
2020-05-15 15:57:44,349 epoch 109 - iter 530/2650 - loss 0.74193490 - samples/sec: 127.72
2020-05-15 15:58:49,191 epoch 109 - iter 795/2650 - loss 0.74588284 - samples/sec: 130.85
2020-05-15 15:59:56,852 epoch 109 - iter 1060/2650 - loss 0.74549567 - samples/sec: 125.39
2020-05-15 16:01:02,283 epoch 109 - iter 1325/2650 - loss 0.74956264 - samples/sec: 129.67
2020-05-15 16:02:08,354 epoch 109 - iter 1590/2650 - loss 0.74667769 - samples/sec: 128.41
2020-05-15 16:03:14,201 epoch 109 - iter 1855/2650 - loss 0.74962525 - samples/sec: 128.85
2020-05-15 16:04:19,476 epoch 109 - iter 2120/2650 - loss 0.74975580 - samples/sec: 129.98
2020-05-15 16:05:25,654 epoch 109 - iter 2385/2650 - loss 0.74985370 - samples/sec: 128.21
2020-05-15 16:06:31,670 epoch 109 - iter 2650/2650 - loss 0.74954778 - samples/sec: 128.52
2020-05-15 16:06:31,684 ----------------------------------------------------------------------------------------------------
2020-05-15 16:06:31,684 EPOCH 109 done: loss 0.7495 - lr 0.0500000
2020-05-15 16:06:31,684 BAD EPOCHS (no improvement): 0
2020-05-15 16:06:31,684 ----------------------------------------------------------------------------------------------------
2020-05-15 16:07:40,082 epoch 110 - iter 265/2650 - loss 0.75636149 - samples/sec: 124.03
2020-05-15 16:08:46,748 epoch 110 - iter 530/2650 - loss 0.74912741 - samples/sec: 127.27
2020-05-15 16:09:53,427 epoch 110 - iter 795/2650 - loss 0.74862465 - samples/sec: 127.24
2020-05-15 16:11:00,139 epoch 110 - iter 1060/2650 - loss 0.74486289 - samples/sec: 127.18
2020-05-15 16:12:07,222 epoch 110 - iter 1325/2650 - loss 0.74530209 - samples/sec: 126.48
2020-05-15 16:13:14,478 epoch 110 - iter 1590/2650 - loss 0.74549478 - samples/sec: 126.15
2020-05-15 16:14:21,744 epoch 110 - iter 1855/2650 - loss 0.74360762 - samples/sec: 126.13
2020-05-15 16:15:29,617 epoch 110 - iter 2120/2650 - loss 0.74893844 - samples/sec: 125.01
2020-05-15 16:16:36,940 epoch 110 - iter 2385/2650 - loss 0.75043676 - samples/sec: 126.03
2020-05-15 16:17:43,560 epoch 110 - iter 2650/2650 - loss 0.74945492 - samples/sec: 127.36
2020-05-15 16:17:43,575 ----------------------------------------------------------------------------------------------------
2020-05-15 16:17:43,575 EPOCH 110 done: loss 0.7495 - lr 0.0500000
2020-05-15 16:17:43,575 BAD EPOCHS (no improvement): 0
2020-05-15 16:17:43,575 ----------------------------------------------------------------------------------------------------
2020-05-15 16:18:51,964 epoch 111 - iter 265/2650 - loss 0.77375221 - samples/sec: 124.04
2020-05-15 16:19:58,754 epoch 111 - iter 530/2650 - loss 0.76454602 - samples/sec: 127.03
2020-05-15 16:21:06,334 epoch 111 - iter 795/2650 - loss 0.75498878 - samples/sec: 125.55
2020-05-15 16:22:14,410 epoch 111 - iter 1060/2650 - loss 0.75030463 - samples/sec: 124.63
2020-05-15 16:23:19,886 epoch 111 - iter 1325/2650 - loss 0.74664694 - samples/sec: 129.58
2020-05-15 16:24:27,170 epoch 111 - iter 1590/2650 - loss 0.74640316 - samples/sec: 126.10
2020-05-15 16:25:33,959 epoch 111 - iter 1855/2650 - loss 0.74579719 - samples/sec: 127.03
2020-05-15 16:26:40,009 epoch 111 - iter 2120/2650 - loss 0.74718852 - samples/sec: 128.46
2020-05-15 16:27:47,279 epoch 111 - iter 2385/2650 - loss 0.74884729 - samples/sec: 126.13
2020-05-15 16:28:54,232 epoch 111 - iter 2650/2650 - loss 0.74993634 - samples/sec: 126.72
2020-05-15 16:28:54,246 ----------------------------------------------------------------------------------------------------
2020-05-15 16:28:54,246 EPOCH 111 done: loss 0.7499 - lr 0.0500000
2020-05-15 16:28:54,246 BAD EPOCHS (no improvement): 1
2020-05-15 16:28:54,247 ----------------------------------------------------------------------------------------------------
2020-05-15 16:29:59,610 epoch 112 - iter 265/2650 - loss 0.75041625 - samples/sec: 129.79
2020-05-15 16:31:05,432 epoch 112 - iter 530/2650 - loss 0.74468954 - samples/sec: 128.90
2020-05-15 16:32:11,627 epoch 112 - iter 795/2650 - loss 0.73625775 - samples/sec: 128.17
2020-05-15 16:33:17,137 epoch 112 - iter 1060/2650 - loss 0.73270010 - samples/sec: 129.52
2020-05-15 16:34:24,751 epoch 112 - iter 1325/2650 - loss 0.72910491 - samples/sec: 125.48
2020-05-15 16:35:32,482 epoch 112 - iter 1590/2650 - loss 0.73358306 - samples/sec: 125.27
2020-05-15 16:36:39,254 epoch 112 - iter 1855/2650 - loss 0.73575201 - samples/sec: 127.07
2020-05-15 16:37:46,279 epoch 112 - iter 2120/2650 - loss 0.73934663 - samples/sec: 126.58
2020-05-15 16:38:55,365 epoch 112 - iter 2385/2650 - loss 0.74065782 - samples/sec: 122.81
2020-05-15 16:40:03,756 epoch 112 - iter 2650/2650 - loss 0.74277422 - samples/sec: 124.06
2020-05-15 16:40:03,771 ----------------------------------------------------------------------------------------------------
2020-05-15 16:40:03,771 EPOCH 112 done: loss 0.7428 - lr 0.0500000
2020-05-15 16:40:03,771 BAD EPOCHS (no improvement): 0
2020-05-15 16:40:03,771 ----------------------------------------------------------------------------------------------------
2020-05-15 16:41:10,603 epoch 113 - iter 265/2650 - loss 0.72520518 - samples/sec: 126.94
2020-05-15 16:42:17,487 epoch 113 - iter 530/2650 - loss 0.71118687 - samples/sec: 126.85
2020-05-15 16:43:24,505 epoch 113 - iter 795/2650 - loss 0.72436159 - samples/sec: 126.60
2020-05-15 16:44:32,332 epoch 113 - iter 1060/2650 - loss 0.73095304 - samples/sec: 125.09
2020-05-15 16:45:39,166 epoch 113 - iter 1325/2650 - loss 0.73166360 - samples/sec: 126.95
2020-05-15 16:46:47,057 epoch 113 - iter 1590/2650 - loss 0.72896151 - samples/sec: 124.97
2020-05-15 16:47:53,794 epoch 113 - iter 1855/2650 - loss 0.72614585 - samples/sec: 127.13
2020-05-15 16:49:00,002 epoch 113 - iter 2120/2650 - loss 0.72737874 - samples/sec: 128.15
2020-05-15 16:50:07,241 epoch 113 - iter 2385/2650 - loss 0.73360866 - samples/sec: 126.18
2020-05-15 16:51:15,565 epoch 113 - iter 2650/2650 - loss 0.73551386 - samples/sec: 124.18
2020-05-15 16:51:15,579 ----------------------------------------------------------------------------------------------------
2020-05-15 16:51:15,580 EPOCH 113 done: loss 0.7355 - lr 0.0500000
2020-05-15 16:51:15,580 BAD EPOCHS (no improvement): 0
2020-05-15 16:51:15,580 ----------------------------------------------------------------------------------------------------
2020-05-15 16:52:21,101 epoch 114 - iter 265/2650 - loss 0.72437106 - samples/sec: 129.47
2020-05-15 16:53:27,941 epoch 114 - iter 530/2650 - loss 0.73647503 - samples/sec: 126.94
2020-05-15 16:54:36,435 epoch 114 - iter 795/2650 - loss 0.72781452 - samples/sec: 123.87
2020-05-15 16:55:45,171 epoch 114 - iter 1060/2650 - loss 0.73727702 - samples/sec: 123.43
2020-05-15 16:56:51,774 epoch 114 - iter 1325/2650 - loss 0.74007590 - samples/sec: 127.39
2020-05-15 16:57:59,536 epoch 114 - iter 1590/2650 - loss 0.73676601 - samples/sec: 125.21
2020-05-15 16:59:07,606 epoch 114 - iter 1855/2650 - loss 0.74192485 - samples/sec: 124.64
2020-05-15 17:00:15,236 epoch 114 - iter 2120/2650 - loss 0.74271908 - samples/sec: 125.46
2020-05-15 17:01:23,882 epoch 114 - iter 2385/2650 - loss 0.74079914 - samples/sec: 123.60
2020-05-15 17:02:32,344 epoch 114 - iter 2650/2650 - loss 0.74303672 - samples/sec: 123.93
2020-05-15 17:02:32,358 ----------------------------------------------------------------------------------------------------
2020-05-15 17:02:32,358 EPOCH 114 done: loss 0.7430 - lr 0.0500000
2020-05-15 17:02:32,358 BAD EPOCHS (no improvement): 1
2020-05-15 17:02:32,358 ----------------------------------------------------------------------------------------------------
2020-05-15 17:03:38,318 epoch 115 - iter 265/2650 - loss 0.73302674 - samples/sec: 128.61
2020-05-15 17:04:45,285 epoch 115 - iter 530/2650 - loss 0.73384641 - samples/sec: 126.70
2020-05-15 17:05:52,815 epoch 115 - iter 795/2650 - loss 0.73100893 - samples/sec: 125.64
2020-05-15 17:07:00,212 epoch 115 - iter 1060/2650 - loss 0.72542551 - samples/sec: 125.89
2020-05-15 17:08:08,234 epoch 115 - iter 1325/2650 - loss 0.72725375 - samples/sec: 124.73
2020-05-15 17:09:15,524 epoch 115 - iter 1590/2650 - loss 0.73054515 - samples/sec: 126.09
2020-05-15 17:10:22,263 epoch 115 - iter 1855/2650 - loss 0.73011973 - samples/sec: 127.13
2020-05-15 17:11:29,535 epoch 115 - iter 2120/2650 - loss 0.73317736 - samples/sec: 126.12
2020-05-15 17:12:38,234 epoch 115 - iter 2385/2650 - loss 0.73475255 - samples/sec: 123.50
2020-05-15 17:13:47,909 epoch 115 - iter 2650/2650 - loss 0.73629467 - samples/sec: 121.77
2020-05-15 17:13:47,924 ----------------------------------------------------------------------------------------------------
2020-05-15 17:13:47,924 EPOCH 115 done: loss 0.7363 - lr 0.0500000
2020-05-15 17:13:47,924 BAD EPOCHS (no improvement): 2
2020-05-15 17:13:47,924 ----------------------------------------------------------------------------------------------------
2020-05-15 17:14:54,091 epoch 116 - iter 265/2650 - loss 0.71226722 - samples/sec: 128.21
2020-05-15 17:15:59,968 epoch 116 - iter 530/2650 - loss 0.72461453 - samples/sec: 128.79
2020-05-15 17:17:08,538 epoch 116 - iter 795/2650 - loss 0.72139389 - samples/sec: 123.73
2020-05-15 17:18:16,026 epoch 116 - iter 1060/2650 - loss 0.71890906 - samples/sec: 125.72
2020-05-15 17:19:24,026 epoch 116 - iter 1325/2650 - loss 0.72078656 - samples/sec: 124.77
2020-05-15 17:20:31,575 epoch 116 - iter 1590/2650 - loss 0.72128551 - samples/sec: 125.60
2020-05-15 17:21:39,558 epoch 116 - iter 1855/2650 - loss 0.72176705 - samples/sec: 124.80
2020-05-15 17:22:47,391 epoch 116 - iter 2120/2650 - loss 0.72593018 - samples/sec: 125.08
2020-05-15 17:23:55,070 epoch 116 - iter 2385/2650 - loss 0.72753103 - samples/sec: 125.36
2020-05-15 17:25:03,744 epoch 116 - iter 2650/2650 - loss 0.72969030 - samples/sec: 123.55
2020-05-15 17:25:03,759 ----------------------------------------------------------------------------------------------------
2020-05-15 17:25:03,759 EPOCH 116 done: loss 0.7297 - lr 0.0500000
2020-05-15 17:25:03,759 BAD EPOCHS (no improvement): 0
2020-05-15 17:25:03,759 ----------------------------------------------------------------------------------------------------
2020-05-15 17:26:09,999 epoch 117 - iter 265/2650 - loss 0.72006963 - samples/sec: 128.07
2020-05-15 17:27:18,448 epoch 117 - iter 530/2650 - loss 0.73365118 - samples/sec: 123.95
2020-05-15 17:28:26,795 epoch 117 - iter 795/2650 - loss 0.72376209 - samples/sec: 124.14
2020-05-15 17:29:35,478 epoch 117 - iter 1060/2650 - loss 0.72849335 - samples/sec: 123.53
2020-05-15 17:30:42,884 epoch 117 - iter 1325/2650 - loss 0.72400423 - samples/sec: 125.87
2020-05-15 17:31:49,606 epoch 117 - iter 1590/2650 - loss 0.72554245 - samples/sec: 127.16
2020-05-15 17:32:57,889 epoch 117 - iter 1855/2650 - loss 0.72549046 - samples/sec: 124.25
2020-05-15 17:34:06,664 epoch 117 - iter 2120/2650 - loss 0.72994488 - samples/sec: 123.37
2020-05-15 17:35:15,861 epoch 117 - iter 2385/2650 - loss 0.72833526 - samples/sec: 122.61
2020-05-15 17:36:24,638 epoch 117 - iter 2650/2650 - loss 0.73165162 - samples/sec: 123.36
2020-05-15 17:36:24,653 ----------------------------------------------------------------------------------------------------
2020-05-15 17:36:24,653 EPOCH 117 done: loss 0.7317 - lr 0.0500000
2020-05-15 17:36:24,653 BAD EPOCHS (no improvement): 1
2020-05-15 17:36:24,653 ----------------------------------------------------------------------------------------------------
2020-05-15 17:37:32,129 epoch 118 - iter 265/2650 - loss 0.70844563 - samples/sec: 125.72
2020-05-15 17:38:39,543 epoch 118 - iter 530/2650 - loss 0.71373444 - samples/sec: 125.86
2020-05-15 17:39:47,034 epoch 118 - iter 795/2650 - loss 0.71502713 - samples/sec: 125.71
2020-05-15 17:40:54,421 epoch 118 - iter 1060/2650 - loss 0.72269999 - samples/sec: 125.91
2020-05-15 17:42:02,298 epoch 118 - iter 1325/2650 - loss 0.72653986 - samples/sec: 125.00
2020-05-15 17:43:10,314 epoch 118 - iter 1590/2650 - loss 0.72696864 - samples/sec: 124.74
2020-05-15 17:44:17,774 epoch 118 - iter 1855/2650 - loss 0.73183071 - samples/sec: 125.77
2020-05-15 17:45:26,565 epoch 118 - iter 2120/2650 - loss 0.73288350 - samples/sec: 123.34
2020-05-15 17:46:34,581 epoch 118 - iter 2385/2650 - loss 0.73206626 - samples/sec: 124.74
2020-05-15 17:47:40,480 epoch 118 - iter 2650/2650 - loss 0.72980122 - samples/sec: 128.75
2020-05-15 17:47:40,494 ----------------------------------------------------------------------------------------------------
2020-05-15 17:47:40,494 EPOCH 118 done: loss 0.7298 - lr 0.0500000
2020-05-15 17:47:40,494 BAD EPOCHS (no improvement): 2
2020-05-15 17:47:40,494 ----------------------------------------------------------------------------------------------------
2020-05-15 17:48:48,047 epoch 119 - iter 265/2650 - loss 0.72000376 - samples/sec: 125.58
2020-05-15 17:49:56,528 epoch 119 - iter 530/2650 - loss 0.72544683 - samples/sec: 123.89
2020-05-15 17:51:05,442 epoch 119 - iter 795/2650 - loss 0.72183405 - samples/sec: 123.12
2020-05-15 17:52:13,403 epoch 119 - iter 1060/2650 - loss 0.72513328 - samples/sec: 124.84
2020-05-15 17:53:21,711 epoch 119 - iter 1325/2650 - loss 0.72536309 - samples/sec: 124.21
2020-05-15 17:54:28,650 epoch 119 - iter 1590/2650 - loss 0.72823688 - samples/sec: 126.75
2020-05-15 17:55:36,399 epoch 119 - iter 1855/2650 - loss 0.72571577 - samples/sec: 125.23
2020-05-15 17:56:43,880 epoch 119 - iter 2120/2650 - loss 0.72749481 - samples/sec: 125.73
2020-05-15 17:57:50,862 epoch 119 - iter 2385/2650 - loss 0.72826224 - samples/sec: 126.67
2020-05-15 17:58:58,011 epoch 119 - iter 2650/2650 - loss 0.72583270 - samples/sec: 126.36
2020-05-15 17:58:58,026 ----------------------------------------------------------------------------------------------------
2020-05-15 17:58:58,026 EPOCH 119 done: loss 0.7258 - lr 0.0500000
2020-05-15 17:58:58,026 BAD EPOCHS (no improvement): 0
2020-05-15 17:58:58,026 ----------------------------------------------------------------------------------------------------
2020-05-15 18:00:05,457 epoch 120 - iter 265/2650 - loss 0.73291260 - samples/sec: 125.81
2020-05-15 18:01:12,662 epoch 120 - iter 530/2650 - loss 0.72202417 - samples/sec: 126.25
2020-05-15 18:02:21,190 epoch 120 - iter 795/2650 - loss 0.72789940 - samples/sec: 123.81
2020-05-15 18:03:28,742 epoch 120 - iter 1060/2650 - loss 0.72322751 - samples/sec: 125.60
2020-05-15 18:04:36,128 epoch 120 - iter 1325/2650 - loss 0.72826477 - samples/sec: 125.91
2020-05-15 18:05:44,398 epoch 120 - iter 1590/2650 - loss 0.73237608 - samples/sec: 124.28
2020-05-15 18:06:51,754 epoch 120 - iter 1855/2650 - loss 0.73098800 - samples/sec: 125.96
2020-05-15 18:08:00,634 epoch 120 - iter 2120/2650 - loss 0.73444596 - samples/sec: 123.18
2020-05-15 18:09:07,645 epoch 120 - iter 2385/2650 - loss 0.73562420 - samples/sec: 126.61
2020-05-15 18:10:14,933 epoch 120 - iter 2650/2650 - loss 0.73420320 - samples/sec: 126.09
2020-05-15 18:10:14,947 ----------------------------------------------------------------------------------------------------
2020-05-15 18:10:14,947 EPOCH 120 done: loss 0.7342 - lr 0.0500000
2020-05-15 18:10:14,947 BAD EPOCHS (no improvement): 1
2020-05-15 18:10:14,948 ----------------------------------------------------------------------------------------------------
2020-05-15 18:11:24,249 epoch 121 - iter 265/2650 - loss 0.74215262 - samples/sec: 122.41
2020-05-15 18:12:30,651 epoch 121 - iter 530/2650 - loss 0.74141538 - samples/sec: 127.78
2020-05-15 18:13:38,175 epoch 121 - iter 795/2650 - loss 0.74015024 - samples/sec: 125.65
2020-05-15 18:14:44,766 epoch 121 - iter 1060/2650 - loss 0.73901294 - samples/sec: 127.41
2020-05-15 18:15:53,146 epoch 121 - iter 1325/2650 - loss 0.73735692 - samples/sec: 124.08
2020-05-15 18:17:00,842 epoch 121 - iter 1590/2650 - loss 0.73447522 - samples/sec: 125.33
2020-05-15 18:18:09,466 epoch 121 - iter 1855/2650 - loss 0.73677169 - samples/sec: 123.64
2020-05-15 18:19:17,525 epoch 121 - iter 2120/2650 - loss 0.73756358 - samples/sec: 124.66
2020-05-15 18:20:24,305 epoch 121 - iter 2385/2650 - loss 0.73795827 - samples/sec: 127.05
2020-05-15 18:21:33,396 epoch 121 - iter 2650/2650 - loss 0.73735378 - samples/sec: 122.80
2020-05-15 18:21:33,411 ----------------------------------------------------------------------------------------------------
2020-05-15 18:21:33,411 EPOCH 121 done: loss 0.7374 - lr 0.0500000
2020-05-15 18:21:33,411 BAD EPOCHS (no improvement): 2
2020-05-15 18:21:33,411 ----------------------------------------------------------------------------------------------------
2020-05-15 18:22:41,752 epoch 122 - iter 265/2650 - loss 0.67000385 - samples/sec: 124.13
2020-05-15 18:23:49,924 epoch 122 - iter 530/2650 - loss 0.70126659 - samples/sec: 124.46
2020-05-15 18:24:56,791 epoch 122 - iter 795/2650 - loss 0.69674359 - samples/sec: 126.89
2020-05-15 18:26:03,923 epoch 122 - iter 1060/2650 - loss 0.70292083 - samples/sec: 126.39
2020-05-15 18:27:13,096 epoch 122 - iter 1325/2650 - loss 0.71307472 - samples/sec: 122.65
2020-05-15 18:28:21,262 epoch 122 - iter 1590/2650 - loss 0.71763159 - samples/sec: 124.47
2020-05-15 18:29:27,031 epoch 122 - iter 1855/2650 - loss 0.71837807 - samples/sec: 129.00
2020-05-15 18:30:42,589 epoch 122 - iter 2120/2650 - loss 0.72097495 - samples/sec: 112.29
2020-05-15 18:31:50,303 epoch 122 - iter 2385/2650 - loss 0.71995580 - samples/sec: 125.30
2020-05-15 18:32:57,122 epoch 122 - iter 2650/2650 - loss 0.72042571 - samples/sec: 126.98
2020-05-15 18:32:57,136 ----------------------------------------------------------------------------------------------------
2020-05-15 18:32:57,136 EPOCH 122 done: loss 0.7204 - lr 0.0500000
2020-05-15 18:32:57,136 BAD EPOCHS (no improvement): 0
2020-05-15 18:32:57,136 ----------------------------------------------------------------------------------------------------
2020-05-15 18:34:05,719 epoch 123 - iter 265/2650 - loss 0.73101209 - samples/sec: 123.69
2020-05-15 18:35:14,148 epoch 123 - iter 530/2650 - loss 0.72952645 - samples/sec: 123.99
2020-05-15 18:36:21,211 epoch 123 - iter 795/2650 - loss 0.72636356 - samples/sec: 126.51
2020-05-15 18:37:29,045 epoch 123 - iter 1060/2650 - loss 0.72558724 - samples/sec: 125.08
2020-05-15 18:38:34,581 epoch 123 - iter 1325/2650 - loss 0.71897629 - samples/sec: 129.46
2020-05-15 18:39:40,911 epoch 123 - iter 1590/2650 - loss 0.72103591 - samples/sec: 127.91
2020-05-15 18:40:48,280 epoch 123 - iter 1855/2650 - loss 0.71992077 - samples/sec: 125.94
2020-05-15 18:41:55,032 epoch 123 - iter 2120/2650 - loss 0.72325495 - samples/sec: 127.10
2020-05-15 18:43:01,604 epoch 123 - iter 2385/2650 - loss 0.72149622 - samples/sec: 127.45
2020-05-15 18:44:06,093 epoch 123 - iter 2650/2650 - loss 0.71986279 - samples/sec: 131.57
2020-05-15 18:44:06,107 ----------------------------------------------------------------------------------------------------
2020-05-15 18:44:06,107 EPOCH 123 done: loss 0.7199 - lr 0.0500000
2020-05-15 18:44:06,107 BAD EPOCHS (no improvement): 0
2020-05-15 18:44:06,108 ----------------------------------------------------------------------------------------------------
2020-05-15 18:45:12,214 epoch 124 - iter 265/2650 - loss 0.71367821 - samples/sec: 128.33
2020-05-15 18:46:18,943 epoch 124 - iter 530/2650 - loss 0.71120178 - samples/sec: 127.15
2020-05-15 18:47:26,048 epoch 124 - iter 795/2650 - loss 0.71329126 - samples/sec: 126.43
2020-05-15 18:48:32,529 epoch 124 - iter 1060/2650 - loss 0.71250805 - samples/sec: 127.62
2020-05-15 18:49:38,888 epoch 124 - iter 1325/2650 - loss 0.71177834 - samples/sec: 127.86
2020-05-15 18:50:45,706 epoch 124 - iter 1590/2650 - loss 0.71088292 - samples/sec: 126.98
2020-05-15 18:51:53,355 epoch 124 - iter 1855/2650 - loss 0.71044129 - samples/sec: 125.42
2020-05-15 18:53:00,222 epoch 124 - iter 2120/2650 - loss 0.71087182 - samples/sec: 126.89
2020-05-15 18:54:07,580 epoch 124 - iter 2385/2650 - loss 0.71601712 - samples/sec: 125.96
2020-05-15 18:55:14,458 epoch 124 - iter 2650/2650 - loss 0.71867825 - samples/sec: 126.87
2020-05-15 18:55:14,472 ----------------------------------------------------------------------------------------------------
2020-05-15 18:55:14,472 EPOCH 124 done: loss 0.7187 - lr 0.0500000
2020-05-15 18:55:14,472 BAD EPOCHS (no improvement): 0
2020-05-15 18:55:14,473 ----------------------------------------------------------------------------------------------------
2020-05-15 18:56:20,531 epoch 125 - iter 265/2650 - loss 0.71734082 - samples/sec: 128.42
2020-05-15 18:57:27,668 epoch 125 - iter 530/2650 - loss 0.71164540 - samples/sec: 126.38
2020-05-15 18:58:35,025 epoch 125 - iter 795/2650 - loss 0.70422930 - samples/sec: 125.96
2020-05-15 18:59:41,566 epoch 125 - iter 1060/2650 - loss 0.70313002 - samples/sec: 127.51
2020-05-15 19:00:47,585 epoch 125 - iter 1325/2650 - loss 0.70271323 - samples/sec: 128.52
2020-05-15 19:01:53,082 epoch 125 - iter 1590/2650 - loss 0.70337349 - samples/sec: 129.54
2020-05-15 19:02:58,556 epoch 125 - iter 1855/2650 - loss 0.70610637 - samples/sec: 129.59
2020-05-15 19:04:05,708 epoch 125 - iter 2120/2650 - loss 0.70809775 - samples/sec: 126.35
2020-05-15 19:05:12,691 epoch 125 - iter 2385/2650 - loss 0.71027406 - samples/sec: 126.66
2020-05-15 19:06:19,491 epoch 125 - iter 2650/2650 - loss 0.71432017 - samples/sec: 127.01
2020-05-15 19:06:19,505 ----------------------------------------------------------------------------------------------------
2020-05-15 19:06:19,505 EPOCH 125 done: loss 0.7143 - lr 0.0500000
2020-05-15 19:06:19,505 BAD EPOCHS (no improvement): 0
2020-05-15 19:06:19,505 ----------------------------------------------------------------------------------------------------
2020-05-15 19:07:25,849 epoch 126 - iter 265/2650 - loss 0.68946094 - samples/sec: 127.87
2020-05-15 19:08:31,517 epoch 126 - iter 530/2650 - loss 0.69677527 - samples/sec: 129.20
2020-05-15 19:09:36,934 epoch 126 - iter 795/2650 - loss 0.70495402 - samples/sec: 129.69
2020-05-15 19:10:40,365 epoch 126 - iter 1060/2650 - loss 0.71085018 - samples/sec: 133.76
2020-05-15 19:11:43,675 epoch 126 - iter 1325/2650 - loss 0.71777200 - samples/sec: 134.01
2020-05-15 19:12:48,761 epoch 126 - iter 1590/2650 - loss 0.71814547 - samples/sec: 130.35
2020-05-15 19:13:51,689 epoch 126 - iter 1855/2650 - loss 0.71905888 - samples/sec: 134.82
2020-05-15 19:14:54,194 epoch 126 - iter 2120/2650 - loss 0.71726111 - samples/sec: 135.74
2020-05-15 19:15:57,296 epoch 126 - iter 2385/2650 - loss 0.71914471 - samples/sec: 134.45
2020-05-15 19:16:59,545 epoch 126 - iter 2650/2650 - loss 0.71793216 - samples/sec: 136.30
2020-05-15 19:16:59,558 ----------------------------------------------------------------------------------------------------
2020-05-15 19:16:59,558 EPOCH 126 done: loss 0.7179 - lr 0.0500000
2020-05-15 19:16:59,558 BAD EPOCHS (no improvement): 1
2020-05-15 19:16:59,558 ----------------------------------------------------------------------------------------------------
2020-05-15 19:18:02,128 epoch 127 - iter 265/2650 - loss 0.72144741 - samples/sec: 135.58
2020-05-15 19:19:05,739 epoch 127 - iter 530/2650 - loss 0.72279390 - samples/sec: 133.38
2020-05-15 19:20:08,634 epoch 127 - iter 795/2650 - loss 0.71957815 - samples/sec: 134.90
2020-05-15 19:21:13,250 epoch 127 - iter 1060/2650 - loss 0.71516698 - samples/sec: 131.30
2020-05-15 19:22:17,403 epoch 127 - iter 1325/2650 - loss 0.71488365 - samples/sec: 132.25
2020-05-15 19:23:20,867 epoch 127 - iter 1590/2650 - loss 0.71842474 - samples/sec: 133.69
2020-05-15 19:24:25,183 epoch 127 - iter 1855/2650 - loss 0.71962246 - samples/sec: 131.92
2020-05-15 19:25:28,050 epoch 127 - iter 2120/2650 - loss 0.72284671 - samples/sec: 134.95
2020-05-15 19:26:30,597 epoch 127 - iter 2385/2650 - loss 0.72279874 - samples/sec: 135.65
2020-05-15 19:27:32,041 epoch 127 - iter 2650/2650 - loss 0.72326260 - samples/sec: 138.08
2020-05-15 19:27:32,054 ----------------------------------------------------------------------------------------------------
2020-05-15 19:27:32,054 EPOCH 127 done: loss 0.7233 - lr 0.0500000
2020-05-15 19:27:32,054 BAD EPOCHS (no improvement): 2
2020-05-15 19:27:32,054 ----------------------------------------------------------------------------------------------------
2020-05-15 19:28:36,175 epoch 128 - iter 265/2650 - loss 0.72175573 - samples/sec: 132.30
2020-05-15 19:29:38,551 epoch 128 - iter 530/2650 - loss 0.71271094 - samples/sec: 136.02
2020-05-15 19:30:42,406 epoch 128 - iter 795/2650 - loss 0.70413415 - samples/sec: 132.87
2020-05-15 19:31:45,444 epoch 128 - iter 1060/2650 - loss 0.70548236 - samples/sec: 134.59
2020-05-15 19:32:47,723 epoch 128 - iter 1325/2650 - loss 0.70631586 - samples/sec: 136.23
2020-05-15 19:33:48,999 epoch 128 - iter 1590/2650 - loss 0.70740272 - samples/sec: 138.46
2020-05-15 19:34:52,923 epoch 128 - iter 1855/2650 - loss 0.70971366 - samples/sec: 132.72
2020-05-15 19:35:56,137 epoch 128 - iter 2120/2650 - loss 0.71325336 - samples/sec: 134.21
2020-05-15 19:36:57,796 epoch 128 - iter 2385/2650 - loss 0.71898753 - samples/sec: 137.60
2020-05-15 19:38:00,988 epoch 128 - iter 2650/2650 - loss 0.71781086 - samples/sec: 134.26
2020-05-15 19:38:01,001 ----------------------------------------------------------------------------------------------------
2020-05-15 19:38:01,001 EPOCH 128 done: loss 0.7178 - lr 0.0500000
2020-05-15 19:38:01,002 BAD EPOCHS (no improvement): 3
2020-05-15 19:38:01,002 ----------------------------------------------------------------------------------------------------
2020-05-15 19:39:02,090 epoch 129 - iter 265/2650 - loss 0.71377362 - samples/sec: 138.87
2020-05-15 19:40:04,421 epoch 129 - iter 530/2650 - loss 0.71568957 - samples/sec: 136.12
2020-05-15 19:41:05,112 epoch 129 - iter 795/2650 - loss 0.71069958 - samples/sec: 139.79
2020-05-15 19:42:06,410 epoch 129 - iter 1060/2650 - loss 0.71919405 - samples/sec: 138.41
2020-05-15 19:43:09,800 epoch 129 - iter 1325/2650 - loss 0.71977110 - samples/sec: 133.84
2020-05-15 19:44:13,491 epoch 129 - iter 1590/2650 - loss 0.71818959 - samples/sec: 133.21
2020-05-15 19:45:16,393 epoch 129 - iter 1855/2650 - loss 0.71904162 - samples/sec: 134.88
2020-05-15 19:46:18,992 epoch 129 - iter 2120/2650 - loss 0.71786502 - samples/sec: 135.53
2020-05-15 19:47:21,197 epoch 129 - iter 2385/2650 - loss 0.71708224 - samples/sec: 136.39
2020-05-15 19:48:24,051 epoch 129 - iter 2650/2650 - loss 0.71657891 - samples/sec: 134.98
2020-05-15 19:48:24,064 ----------------------------------------------------------------------------------------------------
2020-05-15 19:48:24,064 EPOCH 129 done: loss 0.7166 - lr 0.0500000
2020-05-15 19:48:24,065 BAD EPOCHS (no improvement): 4
2020-05-15 19:48:24,065 ----------------------------------------------------------------------------------------------------
2020-05-15 19:49:27,342 epoch 130 - iter 265/2650 - loss 0.69245305 - samples/sec: 134.06
2020-05-15 19:50:28,805 epoch 130 - iter 530/2650 - loss 0.69721342 - samples/sec: 138.04
2020-05-15 19:51:31,369 epoch 130 - iter 795/2650 - loss 0.69356440 - samples/sec: 135.61
2020-05-15 19:52:33,960 epoch 130 - iter 1060/2650 - loss 0.70087658 - samples/sec: 135.55
2020-05-15 19:53:37,363 epoch 130 - iter 1325/2650 - loss 0.69602260 - samples/sec: 133.81
2020-05-15 19:54:40,223 epoch 130 - iter 1590/2650 - loss 0.69456080 - samples/sec: 134.97
2020-05-15 19:55:43,545 epoch 130 - iter 1855/2650 - loss 0.69563162 - samples/sec: 133.98
2020-05-15 19:56:45,408 epoch 130 - iter 2120/2650 - loss 0.69352077 - samples/sec: 137.14
2020-05-15 19:57:47,781 epoch 130 - iter 2385/2650 - loss 0.69693441 - samples/sec: 136.02
2020-05-15 19:58:49,999 epoch 130 - iter 2650/2650 - loss 0.69799388 - samples/sec: 136.36
2020-05-15 19:58:50,013 ----------------------------------------------------------------------------------------------------
2020-05-15 19:58:50,013 EPOCH 130 done: loss 0.6980 - lr 0.0250000
2020-05-15 19:58:50,013 BAD EPOCHS (no improvement): 0
2020-05-15 19:58:50,013 ----------------------------------------------------------------------------------------------------
2020-05-15 19:59:53,653 epoch 131 - iter 265/2650 - loss 0.68546837 - samples/sec: 133.30
2020-05-15 20:00:56,938 epoch 131 - iter 530/2650 - loss 0.68227884 - samples/sec: 134.06
2020-05-15 20:01:58,637 epoch 131 - iter 795/2650 - loss 0.68209983 - samples/sec: 137.51
2020-05-15 20:03:01,062 epoch 131 - iter 1060/2650 - loss 0.68089258 - samples/sec: 135.91
2020-05-15 20:04:02,153 epoch 131 - iter 1325/2650 - loss 0.67855021 - samples/sec: 138.88
2020-05-15 20:05:04,315 epoch 131 - iter 1590/2650 - loss 0.68347083 - samples/sec: 136.49
2020-05-15 20:06:05,716 epoch 131 - iter 1855/2650 - loss 0.68415587 - samples/sec: 138.18
2020-05-15 20:07:08,306 epoch 131 - iter 2120/2650 - loss 0.68350109 - samples/sec: 135.55
2020-05-15 20:08:10,457 epoch 131 - iter 2385/2650 - loss 0.68417872 - samples/sec: 136.51
2020-05-15 20:09:13,711 epoch 131 - iter 2650/2650 - loss 0.68686387 - samples/sec: 134.13
2020-05-15 20:09:13,724 ----------------------------------------------------------------------------------------------------
2020-05-15 20:09:13,724 EPOCH 131 done: loss 0.6869 - lr 0.0250000
2020-05-15 20:09:13,724 BAD EPOCHS (no improvement): 0
2020-05-15 20:09:13,724 ----------------------------------------------------------------------------------------------------
2020-05-15 20:10:17,279 epoch 132 - iter 265/2650 - loss 0.70759175 - samples/sec: 133.48
2020-05-15 20:11:19,470 epoch 132 - iter 530/2650 - loss 0.68640888 - samples/sec: 136.42
2020-05-15 20:12:22,427 epoch 132 - iter 795/2650 - loss 0.69258553 - samples/sec: 134.76
2020-05-15 20:13:22,737 epoch 132 - iter 1060/2650 - loss 0.68095692 - samples/sec: 140.68
2020-05-15 20:14:24,040 epoch 132 - iter 1325/2650 - loss 0.67958555 - samples/sec: 138.40
2020-05-15 20:15:27,641 epoch 132 - iter 1590/2650 - loss 0.67840541 - samples/sec: 133.40
2020-05-15 20:16:29,772 epoch 132 - iter 1855/2650 - loss 0.68071193 - samples/sec: 136.55
2020-05-15 20:17:32,882 epoch 132 - iter 2120/2650 - loss 0.68070136 - samples/sec: 134.44
2020-05-15 20:18:35,536 epoch 132 - iter 2385/2650 - loss 0.68462434 - samples/sec: 135.41
2020-05-15 20:19:38,364 epoch 132 - iter 2650/2650 - loss 0.68397170 - samples/sec: 135.04
2020-05-15 20:19:38,376 ----------------------------------------------------------------------------------------------------
2020-05-15 20:19:38,376 EPOCH 132 done: loss 0.6840 - lr 0.0250000
2020-05-15 20:19:38,377 BAD EPOCHS (no improvement): 0
2020-05-15 20:19:38,377 ----------------------------------------------------------------------------------------------------
2020-05-15 20:20:41,533 epoch 133 - iter 265/2650 - loss 0.65480026 - samples/sec: 134.32
2020-05-15 20:21:45,489 epoch 133 - iter 530/2650 - loss 0.65554841 - samples/sec: 132.66
2020-05-15 20:22:48,673 epoch 133 - iter 795/2650 - loss 0.65793030 - samples/sec: 134.28
2020-05-15 20:23:50,058 epoch 133 - iter 1060/2650 - loss 0.66128694 - samples/sec: 138.21
2020-05-15 20:24:52,831 epoch 133 - iter 1325/2650 - loss 0.66395846 - samples/sec: 135.16
2020-05-15 20:25:55,508 epoch 133 - iter 1590/2650 - loss 0.66460856 - samples/sec: 135.36
2020-05-15 20:26:56,960 epoch 133 - iter 1855/2650 - loss 0.66184363 - samples/sec: 138.06
2020-05-15 20:27:58,375 epoch 133 - iter 2120/2650 - loss 0.66275804 - samples/sec: 138.14
2020-05-15 20:29:00,695 epoch 133 - iter 2385/2650 - loss 0.66544368 - samples/sec: 136.14
2020-05-15 20:30:03,756 epoch 133 - iter 2650/2650 - loss 0.66786461 - samples/sec: 134.54
2020-05-15 20:30:03,769 ----------------------------------------------------------------------------------------------------
2020-05-15 20:30:03,769 EPOCH 133 done: loss 0.6679 - lr 0.0250000
2020-05-15 20:30:03,770 BAD EPOCHS (no improvement): 0
2020-05-15 20:30:03,770 ----------------------------------------------------------------------------------------------------
2020-05-15 20:31:07,584 epoch 134 - iter 265/2650 - loss 0.67412418 - samples/sec: 132.93
2020-05-15 20:32:09,679 epoch 134 - iter 530/2650 - loss 0.68590683 - samples/sec: 136.63
2020-05-15 20:33:13,030 epoch 134 - iter 795/2650 - loss 0.67901745 - samples/sec: 133.92
2020-05-15 20:34:16,614 epoch 134 - iter 1060/2650 - loss 0.67594754 - samples/sec: 133.43
2020-05-15 20:35:17,969 epoch 134 - iter 1325/2650 - loss 0.67288938 - samples/sec: 138.28
2020-05-15 20:36:22,601 epoch 134 - iter 1590/2650 - loss 0.67274993 - samples/sec: 131.27
2020-05-15 20:37:25,817 epoch 134 - iter 1855/2650 - loss 0.67171141 - samples/sec: 134.21
2020-05-15 20:38:27,246 epoch 134 - iter 2120/2650 - loss 0.67246495 - samples/sec: 138.12
2020-05-15 20:39:29,179 epoch 134 - iter 2385/2650 - loss 0.67374951 - samples/sec: 136.99
2020-05-15 20:40:32,023 epoch 134 - iter 2650/2650 - loss 0.67253941 - samples/sec: 135.00
2020-05-15 20:40:32,036 ----------------------------------------------------------------------------------------------------
2020-05-15 20:40:32,037 EPOCH 134 done: loss 0.6725 - lr 0.0250000
2020-05-15 20:40:32,037 BAD EPOCHS (no improvement): 1
2020-05-15 20:40:32,037 ----------------------------------------------------------------------------------------------------
2020-05-15 20:41:35,093 epoch 135 - iter 265/2650 - loss 0.68355157 - samples/sec: 134.53
2020-05-15 20:42:38,021 epoch 135 - iter 530/2650 - loss 0.67356107 - samples/sec: 134.82
2020-05-15 20:43:40,012 epoch 135 - iter 795/2650 - loss 0.67045880 - samples/sec: 136.86
2020-05-15 20:44:42,894 epoch 135 - iter 1060/2650 - loss 0.67066668 - samples/sec: 134.92
2020-05-15 20:45:45,841 epoch 135 - iter 1325/2650 - loss 0.66843274 - samples/sec: 134.78
2020-05-15 20:46:47,645 epoch 135 - iter 1590/2650 - loss 0.66825824 - samples/sec: 137.27
2020-05-15 20:47:50,480 epoch 135 - iter 1855/2650 - loss 0.67145731 - samples/sec: 135.02
2020-05-15 20:48:51,819 epoch 135 - iter 2120/2650 - loss 0.66806989 - samples/sec: 138.32
2020-05-15 20:49:54,821 epoch 135 - iter 2385/2650 - loss 0.66624793 - samples/sec: 134.66
2020-05-15 20:50:55,260 epoch 135 - iter 2650/2650 - loss 0.66767721 - samples/sec: 140.38
2020-05-15 20:50:55,274 ----------------------------------------------------------------------------------------------------
2020-05-15 20:50:55,274 EPOCH 135 done: loss 0.6677 - lr 0.0250000
2020-05-15 20:50:55,274 BAD EPOCHS (no improvement): 0
2020-05-15 20:50:55,274 ----------------------------------------------------------------------------------------------------
2020-05-15 20:51:57,821 epoch 136 - iter 265/2650 - loss 0.67038941 - samples/sec: 135.63
2020-05-15 20:53:00,225 epoch 136 - iter 530/2650 - loss 0.66619095 - samples/sec: 135.95
2020-05-15 20:54:01,804 epoch 136 - iter 795/2650 - loss 0.66661295 - samples/sec: 137.78
2020-05-15 20:55:05,675 epoch 136 - iter 1060/2650 - loss 0.67074597 - samples/sec: 132.83
2020-05-15 20:56:08,210 epoch 136 - iter 1325/2650 - loss 0.67064931 - samples/sec: 135.67
2020-05-15 20:57:10,153 epoch 136 - iter 1590/2650 - loss 0.67006524 - samples/sec: 136.97
2020-05-15 20:58:13,806 epoch 136 - iter 1855/2650 - loss 0.67003172 - samples/sec: 133.29
2020-05-15 20:59:17,620 epoch 136 - iter 2120/2650 - loss 0.66959999 - samples/sec: 132.95
2020-05-15 21:00:19,855 epoch 136 - iter 2385/2650 - loss 0.66990757 - samples/sec: 136.33
2020-05-15 21:01:21,298 epoch 136 - iter 2650/2650 - loss 0.66948620 - samples/sec: 138.08
2020-05-15 21:01:21,311 ----------------------------------------------------------------------------------------------------
2020-05-15 21:01:21,311 EPOCH 136 done: loss 0.6695 - lr 0.0250000
2020-05-15 21:01:21,311 BAD EPOCHS (no improvement): 1
2020-05-15 21:01:21,312 ----------------------------------------------------------------------------------------------------
2020-05-15 21:02:24,576 epoch 137 - iter 265/2650 - loss 0.64697523 - samples/sec: 134.09
2020-05-15 21:03:27,934 epoch 137 - iter 530/2650 - loss 0.64754344 - samples/sec: 133.91
2020-05-15 21:04:31,722 epoch 137 - iter 795/2650 - loss 0.65797785 - samples/sec: 133.00
2020-05-15 21:05:34,161 epoch 137 - iter 1060/2650 - loss 0.65403877 - samples/sec: 135.88
2020-05-15 21:06:36,112 epoch 137 - iter 1325/2650 - loss 0.66347948 - samples/sec: 136.95
2020-05-15 21:07:39,190 epoch 137 - iter 1590/2650 - loss 0.66415683 - samples/sec: 134.50
2020-05-15 21:08:42,949 epoch 137 - iter 1855/2650 - loss 0.66346470 - samples/sec: 133.07
2020-05-15 21:09:46,453 epoch 137 - iter 2120/2650 - loss 0.66276160 - samples/sec: 133.60
2020-05-15 21:10:48,895 epoch 137 - iter 2385/2650 - loss 0.66470264 - samples/sec: 135.87
2020-05-15 21:11:51,462 epoch 137 - iter 2650/2650 - loss 0.66694754 - samples/sec: 135.60
2020-05-15 21:11:51,475 ----------------------------------------------------------------------------------------------------
2020-05-15 21:11:51,475 EPOCH 137 done: loss 0.6669 - lr 0.0250000
2020-05-15 21:11:51,475 BAD EPOCHS (no improvement): 0
2020-05-15 21:11:51,476 ----------------------------------------------------------------------------------------------------
2020-05-15 21:12:54,021 epoch 138 - iter 265/2650 - loss 0.65614215 - samples/sec: 135.63
2020-05-15 21:13:56,895 epoch 138 - iter 530/2650 - loss 0.65808265 - samples/sec: 134.94
2020-05-15 21:15:00,234 epoch 138 - iter 795/2650 - loss 0.65295647 - samples/sec: 133.95
2020-05-15 21:16:06,889 epoch 138 - iter 1060/2650 - loss 0.65482460 - samples/sec: 127.29
2020-05-15 21:17:15,610 epoch 138 - iter 1325/2650 - loss 0.65906828 - samples/sec: 123.46
2020-05-15 21:18:22,764 epoch 138 - iter 1590/2650 - loss 0.66038950 - samples/sec: 126.34
2020-05-15 21:19:29,077 epoch 138 - iter 1855/2650 - loss 0.65901270 - samples/sec: 127.95
2020-05-15 21:20:35,294 epoch 138 - iter 2120/2650 - loss 0.65973664 - samples/sec: 128.13
2020-05-15 21:21:42,036 epoch 138 - iter 2385/2650 - loss 0.66019039 - samples/sec: 127.12
2020-05-15 21:22:47,148 epoch 138 - iter 2650/2650 - loss 0.65870119 - samples/sec: 130.31
2020-05-15 21:22:47,163 ----------------------------------------------------------------------------------------------------
2020-05-15 21:22:47,163 EPOCH 138 done: loss 0.6587 - lr 0.0250000
2020-05-15 21:22:47,163 BAD EPOCHS (no improvement): 0
2020-05-15 21:22:47,163 ----------------------------------------------------------------------------------------------------
2020-05-15 21:23:51,605 epoch 139 - iter 265/2650 - loss 0.64772680 - samples/sec: 131.64
2020-05-15 21:24:57,649 epoch 139 - iter 530/2650 - loss 0.64850549 - samples/sec: 128.46
2020-05-15 21:26:04,910 epoch 139 - iter 795/2650 - loss 0.65280760 - samples/sec: 126.14
2020-05-15 21:27:13,169 epoch 139 - iter 1060/2650 - loss 0.65939596 - samples/sec: 124.30
2020-05-15 21:28:19,062 epoch 139 - iter 1325/2650 - loss 0.66451707 - samples/sec: 128.76
2020-05-15 21:29:24,835 epoch 139 - iter 1590/2650 - loss 0.66244917 - samples/sec: 129.00
2020-05-15 21:30:30,859 epoch 139 - iter 1855/2650 - loss 0.66406663 - samples/sec: 128.51
2020-05-15 21:31:36,506 epoch 139 - iter 2120/2650 - loss 0.66429118 - samples/sec: 129.24
2020-05-15 21:32:41,946 epoch 139 - iter 2385/2650 - loss 0.66603906 - samples/sec: 129.65
2020-05-15 21:33:48,130 epoch 139 - iter 2650/2650 - loss 0.66384322 - samples/sec: 128.20
2020-05-15 21:33:48,144 ----------------------------------------------------------------------------------------------------
2020-05-15 21:33:48,144 EPOCH 139 done: loss 0.6638 - lr 0.0250000
2020-05-15 21:33:48,144 BAD EPOCHS (no improvement): 1
2020-05-15 21:33:48,144 ----------------------------------------------------------------------------------------------------
2020-05-15 21:34:53,815 epoch 140 - iter 265/2650 - loss 0.63762480 - samples/sec: 129.18
2020-05-15 21:35:58,464 epoch 140 - iter 530/2650 - loss 0.63823888 - samples/sec: 131.24
2020-05-15 21:37:05,056 epoch 140 - iter 795/2650 - loss 0.65093749 - samples/sec: 127.41
2020-05-15 21:38:11,783 epoch 140 - iter 1060/2650 - loss 0.65430791 - samples/sec: 127.15
2020-05-15 21:39:18,963 epoch 140 - iter 1325/2650 - loss 0.65880469 - samples/sec: 126.29
2020-05-15 21:40:25,045 epoch 140 - iter 1590/2650 - loss 0.65471624 - samples/sec: 128.39
2020-05-15 21:41:32,170 epoch 140 - iter 1855/2650 - loss 0.65742250 - samples/sec: 126.40
2020-05-15 21:42:38,528 epoch 140 - iter 2120/2650 - loss 0.65812111 - samples/sec: 127.86
2020-05-15 21:43:45,045 epoch 140 - iter 2385/2650 - loss 0.65589704 - samples/sec: 127.55
2020-05-15 21:44:53,062 epoch 140 - iter 2650/2650 - loss 0.65654175 - samples/sec: 124.74
2020-05-15 21:44:53,076 ----------------------------------------------------------------------------------------------------
2020-05-15 21:44:53,076 EPOCH 140 done: loss 0.6565 - lr 0.0250000
2020-05-15 21:44:53,076 BAD EPOCHS (no improvement): 0
2020-05-15 21:44:53,077 ----------------------------------------------------------------------------------------------------
2020-05-15 21:46:00,439 epoch 141 - iter 265/2650 - loss 0.66336979 - samples/sec: 125.93
2020-05-15 21:47:05,347 epoch 141 - iter 530/2650 - loss 0.64117512 - samples/sec: 130.72
2020-05-15 21:48:12,518 epoch 141 - iter 795/2650 - loss 0.64402074 - samples/sec: 126.31
2020-05-15 21:49:19,667 epoch 141 - iter 1060/2650 - loss 0.65179861 - samples/sec: 126.35
2020-05-15 21:50:25,886 epoch 141 - iter 1325/2650 - loss 0.65141571 - samples/sec: 128.13
2020-05-15 21:51:32,591 epoch 141 - iter 1590/2650 - loss 0.64985817 - samples/sec: 127.19
2020-05-15 21:52:38,135 epoch 141 - iter 1855/2650 - loss 0.64763312 - samples/sec: 129.45
2020-05-15 21:53:44,211 epoch 141 - iter 2120/2650 - loss 0.64469543 - samples/sec: 128.41
2020-05-15 21:54:52,089 epoch 141 - iter 2385/2650 - loss 0.64692041 - samples/sec: 124.99
2020-05-15 21:55:59,897 epoch 141 - iter 2650/2650 - loss 0.64933243 - samples/sec: 125.12
2020-05-15 21:55:59,912 ----------------------------------------------------------------------------------------------------
2020-05-15 21:55:59,912 EPOCH 141 done: loss 0.6493 - lr 0.0250000
2020-05-15 21:55:59,912 BAD EPOCHS (no improvement): 0
2020-05-15 21:55:59,912 ----------------------------------------------------------------------------------------------------
2020-05-15 21:57:06,559 epoch 142 - iter 265/2650 - loss 0.66217085 - samples/sec: 127.29
2020-05-15 21:58:11,840 epoch 142 - iter 530/2650 - loss 0.67092421 - samples/sec: 129.97
2020-05-15 21:59:18,246 epoch 142 - iter 795/2650 - loss 0.66105941 - samples/sec: 127.77
2020-05-15 22:00:25,764 epoch 142 - iter 1060/2650 - loss 0.65999388 - samples/sec: 125.66
2020-05-15 22:01:33,586 epoch 142 - iter 1325/2650 - loss 0.65506001 - samples/sec: 125.10
2020-05-15 22:02:39,702 epoch 142 - iter 1590/2650 - loss 0.65609988 - samples/sec: 128.33
2020-05-15 22:03:45,411 epoch 142 - iter 1855/2650 - loss 0.65526959 - samples/sec: 129.12
2020-05-15 22:04:52,774 epoch 142 - iter 2120/2650 - loss 0.65579406 - samples/sec: 125.95
2020-05-15 22:05:58,069 epoch 142 - iter 2385/2650 - loss 0.65511561 - samples/sec: 129.94
2020-05-15 22:07:02,625 epoch 142 - iter 2650/2650 - loss 0.65371599 - samples/sec: 131.43
2020-05-15 22:07:02,639 ----------------------------------------------------------------------------------------------------
2020-05-15 22:07:02,639 EPOCH 142 done: loss 0.6537 - lr 0.0250000
2020-05-15 22:07:02,639 BAD EPOCHS (no improvement): 1
2020-05-15 22:07:02,639 ----------------------------------------------------------------------------------------------------
2020-05-15 22:08:08,332 epoch 143 - iter 265/2650 - loss 0.66111453 - samples/sec: 129.13
2020-05-15 22:09:13,599 epoch 143 - iter 530/2650 - loss 0.64521967 - samples/sec: 130.00
2020-05-15 22:10:20,794 epoch 143 - iter 795/2650 - loss 0.64087590 - samples/sec: 126.26
2020-05-15 22:11:26,376 epoch 143 - iter 1060/2650 - loss 0.64252424 - samples/sec: 129.37
2020-05-15 22:12:33,468 epoch 143 - iter 1325/2650 - loss 0.64271695 - samples/sec: 126.46
2020-05-15 22:13:40,059 epoch 143 - iter 1590/2650 - loss 0.64402290 - samples/sec: 127.41
2020-05-15 22:14:45,723 epoch 143 - iter 1855/2650 - loss 0.64342397 - samples/sec: 129.21
2020-05-15 22:15:51,204 epoch 143 - iter 2120/2650 - loss 0.64426675 - samples/sec: 129.57
2020-05-15 22:16:56,952 epoch 143 - iter 2385/2650 - loss 0.64146388 - samples/sec: 129.04
2020-05-15 22:18:05,015 epoch 143 - iter 2650/2650 - loss 0.64400289 - samples/sec: 124.66
2020-05-15 22:18:05,029 ----------------------------------------------------------------------------------------------------
2020-05-15 22:18:05,029 EPOCH 143 done: loss 0.6440 - lr 0.0250000
2020-05-15 22:18:05,029 BAD EPOCHS (no improvement): 0
2020-05-15 22:18:05,029 ----------------------------------------------------------------------------------------------------
2020-05-15 22:19:10,997 epoch 144 - iter 265/2650 - loss 0.64325867 - samples/sec: 128.60
2020-05-15 22:20:19,236 epoch 144 - iter 530/2650 - loss 0.64736367 - samples/sec: 124.33
2020-05-15 22:21:24,616 epoch 144 - iter 795/2650 - loss 0.64907278 - samples/sec: 129.77
2020-05-15 22:22:30,876 epoch 144 - iter 1060/2650 - loss 0.65046198 - samples/sec: 128.04
2020-05-15 22:23:38,322 epoch 144 - iter 1325/2650 - loss 0.65253873 - samples/sec: 125.80
2020-05-15 22:24:46,014 epoch 144 - iter 1590/2650 - loss 0.64987207 - samples/sec: 125.33
2020-05-15 22:25:50,158 epoch 144 - iter 1855/2650 - loss 0.64814587 - samples/sec: 132.27
2020-05-15 22:26:55,117 epoch 144 - iter 2120/2650 - loss 0.64617326 - samples/sec: 130.61
2020-05-15 22:28:00,233 epoch 144 - iter 2385/2650 - loss 0.64484964 - samples/sec: 130.29
2020-05-15 22:29:04,910 epoch 144 - iter 2650/2650 - loss 0.64380914 - samples/sec: 131.18
2020-05-15 22:29:04,924 ----------------------------------------------------------------------------------------------------
2020-05-15 22:29:04,924 EPOCH 144 done: loss 0.6438 - lr 0.0250000
2020-05-15 22:29:04,924 BAD EPOCHS (no improvement): 0
2020-05-15 22:29:04,924 ----------------------------------------------------------------------------------------------------
2020-05-15 22:30:09,715 epoch 145 - iter 265/2650 - loss 0.65552262 - samples/sec: 130.93
2020-05-15 22:31:14,492 epoch 145 - iter 530/2650 - loss 0.64563270 - samples/sec: 130.98
2020-05-15 22:32:19,601 epoch 145 - iter 795/2650 - loss 0.63946354 - samples/sec: 130.31
2020-05-15 22:33:24,061 epoch 145 - iter 1060/2650 - loss 0.64133004 - samples/sec: 131.62
2020-05-15 22:34:27,392 epoch 145 - iter 1325/2650 - loss 0.64174353 - samples/sec: 133.97
2020-05-15 22:35:32,661 epoch 145 - iter 1590/2650 - loss 0.64447981 - samples/sec: 129.99
2020-05-15 22:36:36,934 epoch 145 - iter 1855/2650 - loss 0.64454906 - samples/sec: 132.00
2020-05-15 22:37:40,428 epoch 145 - iter 2120/2650 - loss 0.64335024 - samples/sec: 133.62
2020-05-15 22:38:44,996 epoch 145 - iter 2385/2650 - loss 0.64298360 - samples/sec: 131.40
2020-05-15 22:39:50,267 epoch 145 - iter 2650/2650 - loss 0.64463652 - samples/sec: 129.99
2020-05-15 22:39:50,280 ----------------------------------------------------------------------------------------------------
2020-05-15 22:39:50,280 EPOCH 145 done: loss 0.6446 - lr 0.0250000
2020-05-15 22:39:50,280 BAD EPOCHS (no improvement): 1
2020-05-15 22:39:50,281 ----------------------------------------------------------------------------------------------------
2020-05-15 22:40:55,321 epoch 146 - iter 265/2650 - loss 0.63355211 - samples/sec: 130.43
2020-05-15 22:41:58,479 epoch 146 - iter 530/2650 - loss 0.63447600 - samples/sec: 134.34
2020-05-15 22:43:03,900 epoch 146 - iter 795/2650 - loss 0.64797811 - samples/sec: 129.69
2020-05-15 22:44:09,088 epoch 146 - iter 1060/2650 - loss 0.64597748 - samples/sec: 130.15
2020-05-15 22:45:11,790 epoch 146 - iter 1325/2650 - loss 0.64003886 - samples/sec: 135.31
2020-05-15 22:46:14,930 epoch 146 - iter 1590/2650 - loss 0.64135037 - samples/sec: 134.37
2020-05-15 22:47:19,506 epoch 146 - iter 1855/2650 - loss 0.64046324 - samples/sec: 131.38
2020-05-15 22:48:23,998 epoch 146 - iter 2120/2650 - loss 0.63922235 - samples/sec: 131.56
2020-05-15 22:49:28,669 epoch 146 - iter 2385/2650 - loss 0.64174488 - samples/sec: 131.19
2020-05-15 22:50:34,702 epoch 146 - iter 2650/2650 - loss 0.64044200 - samples/sec: 128.48
2020-05-15 22:50:34,716 ----------------------------------------------------------------------------------------------------
2020-05-15 22:50:34,716 EPOCH 146 done: loss 0.6404 - lr 0.0250000
2020-05-15 22:50:34,716 BAD EPOCHS (no improvement): 0
2020-05-15 22:50:34,716 ----------------------------------------------------------------------------------------------------
2020-05-15 22:51:38,558 epoch 147 - iter 265/2650 - loss 0.63566521 - samples/sec: 132.88
2020-05-15 22:52:43,406 epoch 147 - iter 530/2650 - loss 0.64718555 - samples/sec: 130.83
2020-05-15 22:53:47,561 epoch 147 - iter 795/2650 - loss 0.64721661 - samples/sec: 132.24
2020-05-15 22:54:52,110 epoch 147 - iter 1060/2650 - loss 0.64527922 - samples/sec: 131.44
2020-05-15 22:55:56,881 epoch 147 - iter 1325/2650 - loss 0.64414711 - samples/sec: 130.99
2020-05-15 22:57:01,014 epoch 147 - iter 1590/2650 - loss 0.63765208 - samples/sec: 132.29
2020-05-15 22:58:03,586 epoch 147 - iter 1855/2650 - loss 0.63849690 - samples/sec: 135.59
2020-05-15 22:59:06,593 epoch 147 - iter 2120/2650 - loss 0.63472918 - samples/sec: 134.66
2020-05-15 23:00:10,347 epoch 147 - iter 2385/2650 - loss 0.63344987 - samples/sec: 133.08
2020-05-15 23:01:13,291 epoch 147 - iter 2650/2650 - loss 0.63182141 - samples/sec: 134.80
2020-05-15 23:01:13,304 ----------------------------------------------------------------------------------------------------
2020-05-15 23:01:13,304 EPOCH 147 done: loss 0.6318 - lr 0.0250000
2020-05-15 23:01:13,304 BAD EPOCHS (no improvement): 0
2020-05-15 23:01:13,305 ----------------------------------------------------------------------------------------------------
2020-05-15 23:02:16,549 epoch 148 - iter 265/2650 - loss 0.63473318 - samples/sec: 134.13
2020-05-15 23:03:20,417 epoch 148 - iter 530/2650 - loss 0.63424610 - samples/sec: 132.84
2020-05-15 23:04:26,593 epoch 148 - iter 795/2650 - loss 0.64094953 - samples/sec: 128.21
2020-05-15 23:05:31,338 epoch 148 - iter 1060/2650 - loss 0.63975087 - samples/sec: 131.04
2020-05-15 23:06:35,836 epoch 148 - iter 1325/2650 - loss 0.63793115 - samples/sec: 131.54
2020-05-15 23:07:39,531 epoch 148 - iter 1590/2650 - loss 0.64151674 - samples/sec: 133.20
2020-05-15 23:08:42,851 epoch 148 - iter 1855/2650 - loss 0.64201114 - samples/sec: 133.99
2020-05-15 23:09:47,422 epoch 148 - iter 2120/2650 - loss 0.64104280 - samples/sec: 131.39
2020-05-15 23:10:51,956 epoch 148 - iter 2385/2650 - loss 0.64413955 - samples/sec: 131.47
2020-05-15 23:11:56,671 epoch 148 - iter 2650/2650 - loss 0.64377390 - samples/sec: 131.11
2020-05-15 23:11:56,685 ----------------------------------------------------------------------------------------------------
2020-05-15 23:11:56,685 EPOCH 148 done: loss 0.6438 - lr 0.0250000
2020-05-15 23:11:56,685 BAD EPOCHS (no improvement): 1
2020-05-15 23:11:56,685 ----------------------------------------------------------------------------------------------------
2020-05-15 23:13:03,370 epoch 149 - iter 265/2650 - loss 0.64901498 - samples/sec: 127.21
2020-05-15 23:14:09,633 epoch 149 - iter 530/2650 - loss 0.64485982 - samples/sec: 128.04
2020-05-15 23:15:14,460 epoch 149 - iter 795/2650 - loss 0.63814945 - samples/sec: 130.88
2020-05-15 23:16:21,172 epoch 149 - iter 1060/2650 - loss 0.63829228 - samples/sec: 127.18
2020-05-15 23:17:26,693 epoch 149 - iter 1325/2650 - loss 0.63670291 - samples/sec: 129.49
2020-05-15 23:18:33,769 epoch 149 - iter 1590/2650 - loss 0.63919874 - samples/sec: 126.49
2020-05-15 23:19:38,089 epoch 149 - iter 1855/2650 - loss 0.63685478 - samples/sec: 131.91
2020-05-15 23:20:42,799 epoch 149 - iter 2120/2650 - loss 0.63579409 - samples/sec: 131.12
2020-05-15 23:21:48,040 epoch 149 - iter 2385/2650 - loss 0.63812684 - samples/sec: 130.05
2020-05-15 23:22:52,621 epoch 149 - iter 2650/2650 - loss 0.63822934 - samples/sec: 131.38
2020-05-15 23:22:52,635 ----------------------------------------------------------------------------------------------------
2020-05-15 23:22:52,635 EPOCH 149 done: loss 0.6382 - lr 0.0250000
2020-05-15 23:22:52,635 BAD EPOCHS (no improvement): 2
2020-05-15 23:22:52,636 ----------------------------------------------------------------------------------------------------
2020-05-15 23:23:57,203 epoch 150 - iter 265/2650 - loss 0.61016710 - samples/sec: 131.38
2020-05-15 23:25:04,226 epoch 150 - iter 530/2650 - loss 0.62693253 - samples/sec: 126.59
2020-05-15 23:26:10,631 epoch 150 - iter 795/2650 - loss 0.62739192 - samples/sec: 127.77
2020-05-15 23:27:16,399 epoch 150 - iter 1060/2650 - loss 0.62664667 - samples/sec: 129.00
2020-05-15 23:28:20,563 epoch 150 - iter 1325/2650 - loss 0.62536800 - samples/sec: 132.23
2020-05-15 23:29:25,912 epoch 150 - iter 1590/2650 - loss 0.62595816 - samples/sec: 129.83
2020-05-15 23:30:29,747 epoch 150 - iter 1855/2650 - loss 0.62612569 - samples/sec: 132.91
2020-05-15 23:31:34,567 epoch 150 - iter 2120/2650 - loss 0.62728989 - samples/sec: 130.89
2020-05-15 23:32:40,001 epoch 150 - iter 2385/2650 - loss 0.62725124 - samples/sec: 129.66
2020-05-15 23:33:44,641 epoch 150 - iter 2650/2650 - loss 0.62947303 - samples/sec: 131.26
2020-05-15 23:33:44,655 ----------------------------------------------------------------------------------------------------
2020-05-15 23:33:44,655 EPOCH 150 done: loss 0.6295 - lr 0.0250000
2020-05-15 23:33:44,655 BAD EPOCHS (no improvement): 0
2020-05-15 23:33:45,062 ----------------------------------------------------------------------------------------------------
2020-05-15 23:33:45,062 Testing using best model ...
2020-05-15 23:35:43,625 0.9819	0.9819	0.9819
2020-05-15 23:35:43,625 
MICRO_AVG: acc 0.9819 - f1-score 0.9819
MACRO_AVG: acc 0.9474 - f1-score 0.9473
$          tp: 172 - fp: 0 - fn: 1 - tn: 172 - precision: 1.0000 - recall: 0.9942 - accuracy: 0.9971 - f1-score: 0.9971
''         tp: 976 - fp: 1 - fn: 6 - tn: 974 - precision: 0.9990 - recall: 0.9939 - accuracy: 0.9964 - f1-score: 0.9964
,          tp: 7456 - fp: 12 - fn: 46 - tn: 7460 - precision: 0.9984 - recall: 0.9939 - accuracy: 0.9961 - f1-score: 0.9961
-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: 8900 - fp: 26 - fn: 11 - tn: 8898 - precision: 0.9971 - recall: 0.9988 - accuracy: 0.9979 - f1-score: 0.9979
:          tp: 503 - fp: 56 - fn: 30 - tn: 504 - precision: 0.8998 - recall: 0.9437 - accuracy: 0.9213 - f1-score: 0.9212
ADD        tp: 21 - fp: 1 - fn: 0 - tn: 21 - precision: 0.9545 - recall: 1.0000 - accuracy: 0.9767 - f1-score: 0.9767
AFX        tp: 1 - fp: 0 - fn: 2 - tn: 1 - precision: 1.0000 - recall: 0.3333 - accuracy: 0.5000 - f1-score: 0.5000
CC         tp: 5071 - fp: 31 - fn: 54 - tn: 5072 - precision: 0.9939 - recall: 0.9895 - accuracy: 0.9917 - f1-score: 0.9917
CD         tp: 3018 - fp: 58 - fn: 30 - tn: 3015 - precision: 0.9811 - recall: 0.9902 - accuracy: 0.9856 - f1-score: 0.9856
DT         tp: 14721 - fp: 80 - fn: 66 - tn: 14719 - precision: 0.9946 - recall: 0.9955 - accuracy: 0.9951 - f1-score: 0.9951
EX         tp: 306 - fp: 3 - fn: 2 - tn: 305 - precision: 0.9903 - recall: 0.9935 - accuracy: 0.9919 - f1-score: 0.9919
FW         tp: 63 - fp: 5 - fn: 34 - tn: 63 - precision: 0.9265 - recall: 0.6495 - accuracy: 0.7636 - f1-score: 0.7636
HYPH       tp: 1072 - fp: 7 - fn: 1 - tn: 1075 - precision: 0.9935 - recall: 0.9991 - accuracy: 0.9963 - f1-score: 0.9963
IN         tp: 17956 - fp: 207 - fn: 146 - tn: 17939 - precision: 0.9886 - recall: 0.9919 - accuracy: 0.9903 - f1-score: 0.9903
JJ         tp: 9259 - fp: 403 - fn: 456 - tn: 9264 - precision: 0.9583 - recall: 0.9531 - accuracy: 0.9557 - f1-score: 0.9557
JJR        tp: 447 - fp: 24 - fn: 22 - tn: 446 - precision: 0.9490 - recall: 0.9531 - accuracy: 0.9510 - f1-score: 0.9511
JJS        tp: 221 - fp: 21 - fn: 8 - tn: 221 - precision: 0.9132 - recall: 0.9651 - accuracy: 0.9384 - f1-score: 0.9384
LS         tp: 16 - fp: 0 - fn: 0 - tn: 16 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000
MD         tp: 1997 - fp: 5 - fn: 4 - tn: 1997 - precision: 0.9975 - recall: 0.9980 - accuracy: 0.9978 - f1-score: 0.9978
NFP        tp: 47 - fp: 4 - fn: 13 - tn: 47 - precision: 0.9216 - recall: 0.7833 - accuracy: 0.8468 - f1-score: 0.8468
NN         tp: 20656 - fp: 408 - fn: 554 - tn: 20662 - precision: 0.9806 - recall: 0.9739 - accuracy: 0.9772 - f1-score: 0.9772
NNP        tp: 12383 - fp: 299 - fn: 309 - tn: 12381 - precision: 0.9764 - recall: 0.9757 - accuracy: 0.9760 - f1-score: 0.9760
NNPS       tp: 389 - fp: 126 - fn: 68 - tn: 391 - precision: 0.7553 - recall: 0.8512 - accuracy: 0.8008 - f1-score: 0.8004
NNS        tp: 8274 - fp: 111 - fn: 86 - tn: 8272 - precision: 0.9868 - recall: 0.9897 - accuracy: 0.9882 - f1-score: 0.9882
PDT        tp: 153 - fp: 21 - fn: 13 - tn: 153 - precision: 0.8793 - recall: 0.9217 - accuracy: 0.9000 - f1-score: 0.9000
POS        tp: 1038 - fp: 1 - fn: 7 - tn: 1037 - precision: 0.9990 - recall: 0.9933 - accuracy: 0.9962 - f1-score: 0.9962
PRP        tp: 8046 - fp: 17 - fn: 23 - tn: 8044 - precision: 0.9979 - recall: 0.9971 - accuracy: 0.9975 - f1-score: 0.9975
PRP$       tp: 1930 - fp: 6 - fn: 5 - tn: 1930 - precision: 0.9969 - recall: 0.9974 - accuracy: 0.9972 - f1-score: 0.9972
RB         tp: 7680 - fp: 248 - fn: 334 - tn: 7680 - precision: 0.9687 - recall: 0.9583 - accuracy: 0.9635 - f1-score: 0.9635
RBR        tp: 197 - fp: 30 - fn: 25 - tn: 198 - precision: 0.8678 - recall: 0.8874 - accuracy: 0.8778 - f1-score: 0.8775
RBS        tp: 98 - fp: 8 - fn: 15 - tn: 97 - precision: 0.9245 - recall: 0.8673 - accuracy: 0.8945 - f1-score: 0.8950
RP         tp: 631 - fp: 93 - fn: 77 - tn: 628 - precision: 0.8715 - recall: 0.8912 - accuracy: 0.8810 - f1-score: 0.8813
SYM        tp: 29 - fp: 1 - fn: 1 - tn: 29 - precision: 0.9667 - recall: 0.9667 - accuracy: 0.9667 - f1-score: 0.9667
TO         tp: 2512 - fp: 17 - fn: 9 - tn: 2511 - precision: 0.9933 - recall: 0.9964 - accuracy: 0.9949 - f1-score: 0.9949
UH         tp: 1571 - fp: 34 - fn: 36 - tn: 1573 - precision: 0.9788 - recall: 0.9776 - accuracy: 0.9782 - f1-score: 0.9782
VB         tp: 5764 - fp: 107 - fn: 110 - tn: 5762 - precision: 0.9818 - recall: 0.9813 - accuracy: 0.9815 - f1-score: 0.9815
VBD        tp: 5330 - fp: 87 - fn: 75 - tn: 5332 - precision: 0.9839 - recall: 0.9861 - accuracy: 0.9850 - f1-score: 0.9850
VBG        tp: 2774 - fp: 105 - fn: 52 - tn: 2775 - precision: 0.9635 - recall: 0.9816 - accuracy: 0.9725 - f1-score: 0.9725
VBN        tp: 3231 - fp: 214 - fn: 156 - tn: 3234 - precision: 0.9379 - recall: 0.9539 - accuracy: 0.9459 - f1-score: 0.9458
VBP        tp: 3858 - fp: 96 - fn: 99 - tn: 3855 - precision: 0.9757 - recall: 0.9750 - accuracy: 0.9753 - f1-score: 0.9754
VBZ        tp: 4086 - fp: 28 - fn: 21 - tn: 4085 - precision: 0.9932 - recall: 0.9949 - accuracy: 0.9940 - f1-score: 0.9940
WDT        tp: 774 - fp: 35 - fn: 39 - tn: 780 - precision: 0.9567 - recall: 0.9520 - accuracy: 0.9545 - f1-score: 0.9544
WP         tp: 799 - fp: 13 - fn: 4 - tn: 798 - precision: 0.9840 - recall: 0.9950 - accuracy: 0.9895 - f1-score: 0.9895
WP$        tp: 37 - fp: 0 - fn: 1 - tn: 37 - precision: 1.0000 - recall: 0.9737 - accuracy: 0.9867 - f1-score: 0.9867
WRB        tp: 707 - fp: 2 - fn: 9 - tn: 707 - precision: 0.9972 - recall: 0.9874 - accuracy: 0.9923 - f1-score: 0.9923
XX         tp: 19 - fp: 7 - fn: 12 - tn: 20 - precision: 0.7308 - recall: 0.6129 - accuracy: 0.6724 - f1-score: 0.6667
``         tp: 933 - fp: 6 - fn: 3 - tn: 931 - precision: 0.9936 - recall: 0.9968 - accuracy: 0.9952 - f1-score: 0.9952
2020-05-15 23:35:43,625 ----------------------------------------------------------------------------------------------------