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2021-06-19 21:14:55,975 ----------------------------------------------------------------------------------------------------
2021-06-19 21:14:55,981 Model: "SequenceTagger(
  (embeddings): StackedEmbeddings(
    (list_embedding_0): WordEmbeddings('sl')
    (list_embedding_1): FlairEmbeddings(
      (lm): LanguageModel(
        (drop): Dropout(p=0.1, inplace=False)
        (encoder): Embedding(4170, 100)
        (rnn): LSTM(100, 2048)
        (decoder): Linear(in_features=2048, out_features=4170, bias=True)
      )
    )
    (list_embedding_2): FlairEmbeddings(
      (lm): LanguageModel(
        (drop): Dropout(p=0.1, inplace=False)
        (encoder): Embedding(4170, 100)
        (rnn): LSTM(100, 2048)
        (decoder): Linear(in_features=2048, out_features=4170, bias=True)
      )
    )
  )
  (word_dropout): WordDropout(p=0.05)
  (locked_dropout): LockedDropout(p=0.5)
  (embedding2nn): Linear(in_features=4396, out_features=4396, bias=True)
  (rnn): LSTM(4396, 256, batch_first=True, bidirectional=True)
  (linear): Linear(in_features=512, out_features=1071, bias=True)
  (beta): 1.0
  (weights): None
  (weight_tensor) None
)"
2021-06-19 21:14:55,986 ----------------------------------------------------------------------------------------------------
2021-06-19 21:14:55,988 Corpus: "Corpus: 6478 train + 734 dev + 788 test sentences"
2021-06-19 21:14:55,990 ----------------------------------------------------------------------------------------------------
2021-06-19 21:14:55,993 Parameters:
2021-06-19 21:14:55,996  - learning_rate: "0.1"
2021-06-19 21:14:56,001  - mini_batch_size: "32"
2021-06-19 21:14:56,006  - patience: "3"
2021-06-19 21:14:56,010  - anneal_factor: "0.5"
2021-06-19 21:14:56,013  - max_epochs: "150"
2021-06-19 21:14:56,021  - shuffle: "True"
2021-06-19 21:14:56,023  - train_with_dev: "True"
2021-06-19 21:14:56,025  - batch_growth_annealing: "False"
2021-06-19 21:14:56,027 ----------------------------------------------------------------------------------------------------
2021-06-19 21:14:56,029 Model training base path: "/content/drive/My Drive/mltraining/slovene_large"
2021-06-19 21:14:56,031 ----------------------------------------------------------------------------------------------------
2021-06-19 21:14:56,034 Device: cuda:0
2021-06-19 21:14:56,035 ----------------------------------------------------------------------------------------------------
2021-06-19 21:14:56,038 Embeddings storage mode: cpu
2021-06-19 21:14:56,048 ----------------------------------------------------------------------------------------------------
2021-06-19 21:15:39,904 epoch 1 - iter 22/226 - loss 98.00304881 - samples/sec: 16.05 - lr: 0.100000
2021-06-19 21:16:30,069 epoch 1 - iter 44/226 - loss 88.34257949 - samples/sec: 14.04 - lr: 0.100000
2021-06-19 21:17:11,119 epoch 1 - iter 66/226 - loss 78.79252214 - samples/sec: 17.15 - lr: 0.100000
2021-06-19 21:17:54,488 epoch 1 - iter 88/226 - loss 72.09438898 - samples/sec: 16.23 - lr: 0.100000
2021-06-19 21:18:42,090 epoch 1 - iter 110/226 - loss 67.64372482 - samples/sec: 14.79 - lr: 0.100000
2021-06-19 21:19:29,525 epoch 1 - iter 132/226 - loss 63.78806328 - samples/sec: 14.84 - lr: 0.100000
2021-06-19 21:20:18,400 epoch 1 - iter 154/226 - loss 60.47384921 - samples/sec: 14.41 - lr: 0.100000
2021-06-19 21:21:01,605 epoch 1 - iter 176/226 - loss 57.41525848 - samples/sec: 16.30 - lr: 0.100000
2021-06-19 21:21:42,904 epoch 1 - iter 198/226 - loss 54.47287331 - samples/sec: 17.05 - lr: 0.100000
2021-06-19 21:22:28,554 epoch 1 - iter 220/226 - loss 52.42639418 - samples/sec: 15.42 - lr: 0.100000
2021-06-19 21:22:41,282 ----------------------------------------------------------------------------------------------------
2021-06-19 21:22:41,284 EPOCH 1 done: loss 51.9423 - lr 0.1000000
2021-06-19 21:22:41,287 BAD EPOCHS (no improvement): 0
2021-06-19 21:22:41,296 ----------------------------------------------------------------------------------------------------
2021-06-19 21:23:20,750 epoch 2 - iter 22/226 - loss 29.66305663 - samples/sec: 17.85 - lr: 0.100000
2021-06-19 21:24:02,348 epoch 2 - iter 44/226 - loss 28.69300903 - samples/sec: 16.93 - lr: 0.100000
2021-06-19 21:24:42,253 epoch 2 - iter 66/226 - loss 28.21848025 - samples/sec: 17.64 - lr: 0.100000
2021-06-19 21:25:24,256 epoch 2 - iter 88/226 - loss 27.49799397 - samples/sec: 16.76 - lr: 0.100000
2021-06-19 21:26:06,961 epoch 2 - iter 110/226 - loss 27.11552972 - samples/sec: 16.49 - lr: 0.100000
2021-06-19 21:26:48,367 epoch 2 - iter 132/226 - loss 26.62348990 - samples/sec: 17.00 - lr: 0.100000
2021-06-19 21:27:33,438 epoch 2 - iter 154/226 - loss 26.27989651 - samples/sec: 15.62 - lr: 0.100000
2021-06-19 21:28:15,948 epoch 2 - iter 176/226 - loss 25.89868172 - samples/sec: 16.56 - lr: 0.100000
2021-06-19 21:28:57,528 epoch 2 - iter 198/226 - loss 25.39882489 - samples/sec: 16.94 - lr: 0.100000
2021-06-19 21:29:38,113 epoch 2 - iter 220/226 - loss 24.92703308 - samples/sec: 17.35 - lr: 0.100000
2021-06-19 21:29:51,164 ----------------------------------------------------------------------------------------------------
2021-06-19 21:29:51,170 EPOCH 2 done: loss 24.8626 - lr 0.1000000
2021-06-19 21:29:51,172 BAD EPOCHS (no improvement): 0
2021-06-19 21:29:51,182 ----------------------------------------------------------------------------------------------------
2021-06-19 21:30:33,989 epoch 3 - iter 22/226 - loss 20.83761233 - samples/sec: 16.45 - lr: 0.100000
2021-06-19 21:31:12,794 epoch 3 - iter 44/226 - loss 20.61835664 - samples/sec: 18.14 - lr: 0.100000
2021-06-19 21:31:52,673 epoch 3 - iter 66/226 - loss 20.33551189 - samples/sec: 17.66 - lr: 0.100000
2021-06-19 21:32:33,027 epoch 3 - iter 88/226 - loss 20.07066052 - samples/sec: 17.45 - lr: 0.100000
2021-06-19 21:33:14,731 epoch 3 - iter 110/226 - loss 20.07999393 - samples/sec: 16.88 - lr: 0.100000
2021-06-19 21:33:55,964 epoch 3 - iter 132/226 - loss 19.87466413 - samples/sec: 17.08 - lr: 0.100000
2021-06-19 21:34:39,515 epoch 3 - iter 154/226 - loss 19.73061847 - samples/sec: 16.17 - lr: 0.100000
2021-06-19 21:35:22,668 epoch 3 - iter 176/226 - loss 19.60253082 - samples/sec: 16.32 - lr: 0.100000
2021-06-19 21:36:05,297 epoch 3 - iter 198/226 - loss 19.30640349 - samples/sec: 16.52 - lr: 0.100000
2021-06-19 21:36:52,174 epoch 3 - iter 220/226 - loss 19.20323914 - samples/sec: 15.02 - lr: 0.100000
2021-06-19 21:37:03,408 ----------------------------------------------------------------------------------------------------
2021-06-19 21:37:03,411 EPOCH 3 done: loss 19.2036 - lr 0.1000000
2021-06-19 21:37:03,414 BAD EPOCHS (no improvement): 0
2021-06-19 21:37:03,424 ----------------------------------------------------------------------------------------------------
2021-06-19 21:37:44,818 epoch 4 - iter 22/226 - loss 16.47879518 - samples/sec: 17.01 - lr: 0.100000
2021-06-19 21:38:24,369 epoch 4 - iter 44/226 - loss 16.67900827 - samples/sec: 17.80 - lr: 0.100000
2021-06-19 21:39:06,074 epoch 4 - iter 66/226 - loss 16.84840873 - samples/sec: 16.88 - lr: 0.100000
2021-06-19 21:39:45,841 epoch 4 - iter 88/226 - loss 16.67460994 - samples/sec: 17.71 - lr: 0.100000
2021-06-19 21:40:27,057 epoch 4 - iter 110/226 - loss 16.73211441 - samples/sec: 17.08 - lr: 0.100000
2021-06-19 21:41:13,339 epoch 4 - iter 132/226 - loss 16.72350005 - samples/sec: 15.21 - lr: 0.100000
2021-06-19 21:41:52,443 epoch 4 - iter 154/226 - loss 16.57531195 - samples/sec: 18.01 - lr: 0.100000
2021-06-19 21:42:33,968 epoch 4 - iter 176/226 - loss 16.60326982 - samples/sec: 16.96 - lr: 0.100000
2021-06-19 21:43:16,557 epoch 4 - iter 198/226 - loss 16.48415567 - samples/sec: 16.53 - lr: 0.100000
2021-06-19 21:43:58,219 epoch 4 - iter 220/226 - loss 16.40128544 - samples/sec: 16.90 - lr: 0.100000
2021-06-19 21:44:09,094 ----------------------------------------------------------------------------------------------------
2021-06-19 21:44:09,096 EPOCH 4 done: loss 16.3924 - lr 0.1000000
2021-06-19 21:44:09,103 BAD EPOCHS (no improvement): 0
2021-06-19 21:44:09,110 ----------------------------------------------------------------------------------------------------
2021-06-19 21:44:54,108 epoch 5 - iter 22/226 - loss 15.71610243 - samples/sec: 15.65 - lr: 0.100000
2021-06-19 21:45:35,490 epoch 5 - iter 44/226 - loss 14.87107702 - samples/sec: 17.01 - lr: 0.100000
2021-06-19 21:46:16,020 epoch 5 - iter 66/226 - loss 14.63597850 - samples/sec: 17.37 - lr: 0.100000
2021-06-19 21:46:58,579 epoch 5 - iter 88/226 - loss 14.71578424 - samples/sec: 16.54 - lr: 0.100000
2021-06-19 21:47:41,997 epoch 5 - iter 110/226 - loss 14.82068661 - samples/sec: 16.22 - lr: 0.100000
2021-06-19 21:48:22,463 epoch 5 - iter 132/226 - loss 14.74450069 - samples/sec: 17.40 - lr: 0.100000
2021-06-19 21:49:06,753 epoch 5 - iter 154/226 - loss 14.67929577 - samples/sec: 15.90 - lr: 0.100000
2021-06-19 21:49:50,409 epoch 5 - iter 176/226 - loss 14.72655249 - samples/sec: 16.13 - lr: 0.100000
2021-06-19 21:50:30,196 epoch 5 - iter 198/226 - loss 14.70330096 - samples/sec: 17.70 - lr: 0.100000
2021-06-19 21:51:07,587 epoch 5 - iter 220/226 - loss 14.59278536 - samples/sec: 18.83 - lr: 0.100000
2021-06-19 21:51:17,793 ----------------------------------------------------------------------------------------------------
2021-06-19 21:51:17,794 EPOCH 5 done: loss 14.5455 - lr 0.1000000
2021-06-19 21:51:17,798 BAD EPOCHS (no improvement): 0
2021-06-19 21:51:17,810 ----------------------------------------------------------------------------------------------------
2021-06-19 21:52:01,392 epoch 6 - iter 22/226 - loss 13.27629397 - samples/sec: 16.16 - lr: 0.100000
2021-06-19 21:52:45,903 epoch 6 - iter 44/226 - loss 13.47557844 - samples/sec: 15.82 - lr: 0.100000
2021-06-19 21:53:26,891 epoch 6 - iter 66/226 - loss 13.27312533 - samples/sec: 17.18 - lr: 0.100000
2021-06-19 21:54:10,410 epoch 6 - iter 88/226 - loss 13.48778013 - samples/sec: 16.18 - lr: 0.100000
2021-06-19 21:54:51,911 epoch 6 - iter 110/226 - loss 13.35325747 - samples/sec: 16.97 - lr: 0.100000
2021-06-19 21:55:34,698 epoch 6 - iter 132/226 - loss 13.36600305 - samples/sec: 16.46 - lr: 0.100000
2021-06-19 21:56:17,805 epoch 6 - iter 154/226 - loss 13.37381490 - samples/sec: 16.33 - lr: 0.100000
2021-06-19 21:57:00,441 epoch 6 - iter 176/226 - loss 13.31313528 - samples/sec: 16.51 - lr: 0.100000
2021-06-19 21:57:39,575 epoch 6 - iter 198/226 - loss 13.23960441 - samples/sec: 17.99 - lr: 0.100000
2021-06-19 21:58:20,379 epoch 6 - iter 220/226 - loss 13.24792471 - samples/sec: 17.26 - lr: 0.100000
2021-06-19 21:58:31,015 ----------------------------------------------------------------------------------------------------
2021-06-19 21:58:31,018 EPOCH 6 done: loss 13.2388 - lr 0.1000000
2021-06-19 21:58:31,020 BAD EPOCHS (no improvement): 0
2021-06-19 21:58:31,030 ----------------------------------------------------------------------------------------------------
2021-06-19 21:59:14,816 epoch 7 - iter 22/226 - loss 12.49361051 - samples/sec: 16.08 - lr: 0.100000
2021-06-19 21:59:57,100 epoch 7 - iter 44/226 - loss 12.53801237 - samples/sec: 16.65 - lr: 0.100000
2021-06-19 22:00:36,483 epoch 7 - iter 66/226 - loss 12.46979148 - samples/sec: 17.88 - lr: 0.100000
2021-06-19 22:01:20,714 epoch 7 - iter 88/226 - loss 12.48945094 - samples/sec: 15.92 - lr: 0.100000
2021-06-19 22:02:00,876 epoch 7 - iter 110/226 - loss 12.41151987 - samples/sec: 17.53 - lr: 0.100000
2021-06-19 22:02:41,314 epoch 7 - iter 132/226 - loss 12.40755677 - samples/sec: 17.41 - lr: 0.100000
2021-06-19 22:03:20,860 epoch 7 - iter 154/226 - loss 12.32193089 - samples/sec: 17.80 - lr: 0.100000
2021-06-19 22:04:03,644 epoch 7 - iter 176/226 - loss 12.34771764 - samples/sec: 16.46 - lr: 0.100000
2021-06-19 22:04:46,132 epoch 7 - iter 198/226 - loss 12.31304604 - samples/sec: 16.57 - lr: 0.100000
2021-06-19 22:05:27,971 epoch 7 - iter 220/226 - loss 12.28168632 - samples/sec: 16.83 - lr: 0.100000
2021-06-19 22:05:38,466 ----------------------------------------------------------------------------------------------------
2021-06-19 22:05:38,469 EPOCH 7 done: loss 12.2512 - lr 0.1000000
2021-06-19 22:05:38,473 BAD EPOCHS (no improvement): 0
2021-06-19 22:05:38,480 ----------------------------------------------------------------------------------------------------
2021-06-19 22:06:18,851 epoch 8 - iter 22/226 - loss 11.20321105 - samples/sec: 17.44 - lr: 0.100000
2021-06-19 22:07:00,407 epoch 8 - iter 44/226 - loss 11.43915493 - samples/sec: 16.94 - lr: 0.100000
2021-06-19 22:07:43,297 epoch 8 - iter 66/226 - loss 11.43856760 - samples/sec: 16.42 - lr: 0.100000
2021-06-19 22:08:27,211 epoch 8 - iter 88/226 - loss 11.48684621 - samples/sec: 16.03 - lr: 0.100000
2021-06-19 22:09:10,293 epoch 8 - iter 110/226 - loss 11.56643904 - samples/sec: 16.34 - lr: 0.100000
2021-06-19 22:09:49,606 epoch 8 - iter 132/226 - loss 11.49168373 - samples/sec: 17.91 - lr: 0.100000
2021-06-19 22:10:31,036 epoch 8 - iter 154/226 - loss 11.49852618 - samples/sec: 16.99 - lr: 0.100000
2021-06-19 22:11:10,301 epoch 8 - iter 176/226 - loss 11.45735899 - samples/sec: 17.93 - lr: 0.100000
2021-06-19 22:11:51,500 epoch 8 - iter 198/226 - loss 11.36729160 - samples/sec: 17.09 - lr: 0.100000
2021-06-19 22:12:34,052 epoch 8 - iter 220/226 - loss 11.42250888 - samples/sec: 16.55 - lr: 0.100000
2021-06-19 22:12:46,814 ----------------------------------------------------------------------------------------------------
2021-06-19 22:12:46,817 EPOCH 8 done: loss 11.4598 - lr 0.1000000
2021-06-19 22:12:46,819 BAD EPOCHS (no improvement): 0
2021-06-19 22:12:46,831 ----------------------------------------------------------------------------------------------------
2021-06-19 22:13:29,143 epoch 9 - iter 22/226 - loss 10.74914256 - samples/sec: 16.64 - lr: 0.100000
2021-06-19 22:14:12,666 epoch 9 - iter 44/226 - loss 10.85044024 - samples/sec: 16.18 - lr: 0.100000
2021-06-19 22:14:53,468 epoch 9 - iter 66/226 - loss 10.67711056 - samples/sec: 17.26 - lr: 0.100000
2021-06-19 22:15:33,459 epoch 9 - iter 88/226 - loss 10.61459190 - samples/sec: 17.61 - lr: 0.100000
2021-06-19 22:16:16,427 epoch 9 - iter 110/226 - loss 10.69740465 - samples/sec: 16.39 - lr: 0.100000
2021-06-19 22:16:56,317 epoch 9 - iter 132/226 - loss 10.67800209 - samples/sec: 17.65 - lr: 0.100000
2021-06-19 22:17:40,741 epoch 9 - iter 154/226 - loss 10.66112831 - samples/sec: 15.85 - lr: 0.100000
2021-06-19 22:18:23,092 epoch 9 - iter 176/226 - loss 10.64102680 - samples/sec: 16.63 - lr: 0.100000
2021-06-19 22:19:05,571 epoch 9 - iter 198/226 - loss 10.64859644 - samples/sec: 16.57 - lr: 0.100000
2021-06-19 22:19:47,456 epoch 9 - iter 220/226 - loss 10.68833295 - samples/sec: 16.81 - lr: 0.100000
2021-06-19 22:19:57,313 ----------------------------------------------------------------------------------------------------
2021-06-19 22:19:57,319 EPOCH 9 done: loss 10.6909 - lr 0.1000000
2021-06-19 22:19:57,324 BAD EPOCHS (no improvement): 0
2021-06-19 22:19:57,330 ----------------------------------------------------------------------------------------------------
2021-06-19 22:20:44,261 epoch 10 - iter 22/226 - loss 9.55657363 - samples/sec: 15.01 - lr: 0.100000
2021-06-19 22:21:25,866 epoch 10 - iter 44/226 - loss 10.14395344 - samples/sec: 16.92 - lr: 0.100000
2021-06-19 22:22:06,899 epoch 10 - iter 66/226 - loss 10.11123855 - samples/sec: 17.16 - lr: 0.100000
2021-06-19 22:22:47,610 epoch 10 - iter 88/226 - loss 10.22820828 - samples/sec: 17.30 - lr: 0.100000
2021-06-19 22:23:29,566 epoch 10 - iter 110/226 - loss 10.17515046 - samples/sec: 16.78 - lr: 0.100000
2021-06-19 22:24:10,670 epoch 10 - iter 132/226 - loss 10.11000323 - samples/sec: 17.13 - lr: 0.100000
2021-06-19 22:24:51,695 epoch 10 - iter 154/226 - loss 10.16935893 - samples/sec: 17.16 - lr: 0.100000
2021-06-19 22:25:32,263 epoch 10 - iter 176/226 - loss 10.19478921 - samples/sec: 17.36 - lr: 0.100000
2021-06-19 22:26:16,634 epoch 10 - iter 198/226 - loss 10.24036263 - samples/sec: 15.87 - lr: 0.100000
2021-06-19 22:26:56,660 epoch 10 - iter 220/226 - loss 10.20362631 - samples/sec: 17.59 - lr: 0.100000
2021-06-19 22:27:06,810 ----------------------------------------------------------------------------------------------------
2021-06-19 22:27:06,812 EPOCH 10 done: loss 10.1922 - lr 0.1000000
2021-06-19 22:27:06,815 BAD EPOCHS (no improvement): 0
2021-06-19 22:27:06,828 ----------------------------------------------------------------------------------------------------
2021-06-19 22:27:47,452 epoch 11 - iter 22/226 - loss 9.84976092 - samples/sec: 17.33 - lr: 0.100000
2021-06-19 22:28:29,597 epoch 11 - iter 44/226 - loss 9.91624672 - samples/sec: 16.71 - lr: 0.100000
2021-06-19 22:29:10,670 epoch 11 - iter 66/226 - loss 9.85916579 - samples/sec: 17.14 - lr: 0.100000
2021-06-19 22:29:55,589 epoch 11 - iter 88/226 - loss 9.82786761 - samples/sec: 15.67 - lr: 0.100000
2021-06-19 22:30:36,227 epoch 11 - iter 110/226 - loss 9.87532565 - samples/sec: 17.33 - lr: 0.100000
2021-06-19 22:31:16,567 epoch 11 - iter 132/226 - loss 9.86252369 - samples/sec: 17.45 - lr: 0.100000
2021-06-19 22:32:00,053 epoch 11 - iter 154/226 - loss 9.82819509 - samples/sec: 16.19 - lr: 0.100000
2021-06-19 22:32:39,653 epoch 11 - iter 176/226 - loss 9.75668870 - samples/sec: 17.78 - lr: 0.100000
2021-06-19 22:33:18,058 epoch 11 - iter 198/226 - loss 9.73455038 - samples/sec: 18.33 - lr: 0.100000
2021-06-19 22:33:58,379 epoch 11 - iter 220/226 - loss 9.74103593 - samples/sec: 17.46 - lr: 0.100000
2021-06-19 22:34:08,181 ----------------------------------------------------------------------------------------------------
2021-06-19 22:34:08,183 EPOCH 11 done: loss 9.7189 - lr 0.1000000
2021-06-19 22:34:08,186 BAD EPOCHS (no improvement): 0
2021-06-19 22:34:08,192 ----------------------------------------------------------------------------------------------------
2021-06-19 22:34:49,244 epoch 12 - iter 22/226 - loss 8.83658843 - samples/sec: 17.15 - lr: 0.100000
2021-06-19 22:35:31,077 epoch 12 - iter 44/226 - loss 8.91902429 - samples/sec: 16.83 - lr: 0.100000
2021-06-19 22:36:13,790 epoch 12 - iter 66/226 - loss 9.10742896 - samples/sec: 16.48 - lr: 0.100000
2021-06-19 22:36:53,557 epoch 12 - iter 88/226 - loss 9.02138714 - samples/sec: 17.71 - lr: 0.100000
2021-06-19 22:37:37,568 epoch 12 - iter 110/226 - loss 9.15055696 - samples/sec: 16.00 - lr: 0.100000
2021-06-19 22:38:18,560 epoch 12 - iter 132/226 - loss 9.20681237 - samples/sec: 17.18 - lr: 0.100000
2021-06-19 22:38:59,595 epoch 12 - iter 154/226 - loss 9.29857945 - samples/sec: 17.16 - lr: 0.100000
2021-06-19 22:39:40,831 epoch 12 - iter 176/226 - loss 9.33127416 - samples/sec: 17.07 - lr: 0.100000
2021-06-19 22:40:24,173 epoch 12 - iter 198/226 - loss 9.31933733 - samples/sec: 16.25 - lr: 0.100000
2021-06-19 22:41:03,021 epoch 12 - iter 220/226 - loss 9.30043491 - samples/sec: 18.12 - lr: 0.100000
2021-06-19 22:41:13,164 ----------------------------------------------------------------------------------------------------
2021-06-19 22:41:13,167 EPOCH 12 done: loss 9.2779 - lr 0.1000000
2021-06-19 22:41:13,169 BAD EPOCHS (no improvement): 0
2021-06-19 22:41:13,182 ----------------------------------------------------------------------------------------------------
2021-06-19 22:41:54,025 epoch 13 - iter 22/226 - loss 8.96983331 - samples/sec: 17.24 - lr: 0.100000
2021-06-19 22:42:35,820 epoch 13 - iter 44/226 - loss 8.86099775 - samples/sec: 16.85 - lr: 0.100000
2021-06-19 22:43:16,941 epoch 13 - iter 66/226 - loss 8.94539907 - samples/sec: 17.12 - lr: 0.100000
2021-06-19 22:43:58,649 epoch 13 - iter 88/226 - loss 9.12511803 - samples/sec: 16.88 - lr: 0.100000
2021-06-19 22:44:36,818 epoch 13 - iter 110/226 - loss 9.06390392 - samples/sec: 18.45 - lr: 0.100000
2021-06-19 22:45:19,567 epoch 13 - iter 132/226 - loss 8.97833542 - samples/sec: 16.47 - lr: 0.100000
2021-06-19 22:46:00,888 epoch 13 - iter 154/226 - loss 9.03239419 - samples/sec: 17.04 - lr: 0.100000
2021-06-19 22:46:42,578 epoch 13 - iter 176/226 - loss 9.00597063 - samples/sec: 16.89 - lr: 0.100000
2021-06-19 22:47:21,532 epoch 13 - iter 198/226 - loss 8.95550609 - samples/sec: 18.07 - lr: 0.100000
2021-06-19 22:48:06,315 epoch 13 - iter 220/226 - loss 8.94137419 - samples/sec: 15.72 - lr: 0.100000
2021-06-19 22:48:18,860 ----------------------------------------------------------------------------------------------------
2021-06-19 22:48:18,862 EPOCH 13 done: loss 8.9129 - lr 0.1000000
2021-06-19 22:48:18,865 BAD EPOCHS (no improvement): 0
2021-06-19 22:48:18,872 ----------------------------------------------------------------------------------------------------
2021-06-19 22:48:59,753 epoch 14 - iter 22/226 - loss 8.84392829 - samples/sec: 17.22 - lr: 0.100000
2021-06-19 22:49:42,640 epoch 14 - iter 44/226 - loss 8.45885655 - samples/sec: 16.42 - lr: 0.100000
2021-06-19 22:50:25,081 epoch 14 - iter 66/226 - loss 8.54762257 - samples/sec: 16.59 - lr: 0.100000
2021-06-19 22:51:04,069 epoch 14 - iter 88/226 - loss 8.47568540 - samples/sec: 18.06 - lr: 0.100000
2021-06-19 22:51:45,391 epoch 14 - iter 110/226 - loss 8.53092376 - samples/sec: 17.04 - lr: 0.100000
2021-06-19 22:52:25,647 epoch 14 - iter 132/226 - loss 8.61504260 - samples/sec: 17.49 - lr: 0.100000
2021-06-19 22:53:06,403 epoch 14 - iter 154/226 - loss 8.59184340 - samples/sec: 17.28 - lr: 0.100000
2021-06-19 22:53:46,135 epoch 14 - iter 176/226 - loss 8.63522834 - samples/sec: 17.72 - lr: 0.100000
2021-06-19 22:54:27,822 epoch 14 - iter 198/226 - loss 8.62042970 - samples/sec: 16.89 - lr: 0.100000
2021-06-19 22:55:10,936 epoch 14 - iter 220/226 - loss 8.60222888 - samples/sec: 16.33 - lr: 0.100000
2021-06-19 22:55:21,316 ----------------------------------------------------------------------------------------------------
2021-06-19 22:55:21,319 EPOCH 14 done: loss 8.6050 - lr 0.1000000
2021-06-19 22:55:21,321 BAD EPOCHS (no improvement): 0
2021-06-19 22:55:21,331 ----------------------------------------------------------------------------------------------------
2021-06-19 22:56:00,423 epoch 15 - iter 22/226 - loss 8.20291543 - samples/sec: 18.01 - lr: 0.100000
2021-06-19 22:56:44,023 epoch 15 - iter 44/226 - loss 8.25892513 - samples/sec: 16.15 - lr: 0.100000
2021-06-19 22:57:21,590 epoch 15 - iter 66/226 - loss 8.05686677 - samples/sec: 18.74 - lr: 0.100000
2021-06-19 22:57:59,837 epoch 15 - iter 88/226 - loss 8.06577629 - samples/sec: 18.41 - lr: 0.100000
2021-06-19 22:58:40,477 epoch 15 - iter 110/226 - loss 8.16359515 - samples/sec: 17.33 - lr: 0.100000
2021-06-19 22:59:21,196 epoch 15 - iter 132/226 - loss 8.19209229 - samples/sec: 17.29 - lr: 0.100000
2021-06-19 22:59:59,058 epoch 15 - iter 154/226 - loss 8.15920937 - samples/sec: 18.60 - lr: 0.100000
2021-06-19 23:00:37,793 epoch 15 - iter 176/226 - loss 8.18621870 - samples/sec: 18.18 - lr: 0.100000
2021-06-19 23:01:21,688 epoch 15 - iter 198/226 - loss 8.23668968 - samples/sec: 16.04 - lr: 0.100000
2021-06-19 23:02:03,022 epoch 15 - iter 220/226 - loss 8.24812502 - samples/sec: 17.03 - lr: 0.100000
2021-06-19 23:02:14,893 ----------------------------------------------------------------------------------------------------
2021-06-19 23:02:14,895 EPOCH 15 done: loss 8.2587 - lr 0.1000000
2021-06-19 23:02:14,898 BAD EPOCHS (no improvement): 0
2021-06-19 23:02:14,910 ----------------------------------------------------------------------------------------------------
2021-06-19 23:02:55,445 epoch 16 - iter 22/226 - loss 7.85084508 - samples/sec: 17.37 - lr: 0.100000
2021-06-19 23:03:36,395 epoch 16 - iter 44/226 - loss 8.01590011 - samples/sec: 17.19 - lr: 0.100000
2021-06-19 23:04:16,322 epoch 16 - iter 66/226 - loss 8.07053399 - samples/sec: 17.63 - lr: 0.100000
2021-06-19 23:04:56,606 epoch 16 - iter 88/226 - loss 8.04866967 - samples/sec: 17.48 - lr: 0.100000
2021-06-19 23:05:38,471 epoch 16 - iter 110/226 - loss 8.05501638 - samples/sec: 16.82 - lr: 0.100000
2021-06-19 23:06:21,012 epoch 16 - iter 132/226 - loss 8.07193137 - samples/sec: 16.55 - lr: 0.100000
2021-06-19 23:07:02,649 epoch 16 - iter 154/226 - loss 8.06227153 - samples/sec: 16.91 - lr: 0.100000
2021-06-19 23:07:42,093 epoch 16 - iter 176/226 - loss 7.98726182 - samples/sec: 17.85 - lr: 0.100000
2021-06-19 23:08:20,612 epoch 16 - iter 198/226 - loss 8.01218649 - samples/sec: 18.28 - lr: 0.100000
2021-06-19 23:09:01,657 epoch 16 - iter 220/226 - loss 8.03297273 - samples/sec: 17.15 - lr: 0.100000
2021-06-19 23:09:13,048 ----------------------------------------------------------------------------------------------------
2021-06-19 23:09:13,051 EPOCH 16 done: loss 8.0359 - lr 0.1000000
2021-06-19 23:09:13,054 BAD EPOCHS (no improvement): 0
2021-06-19 23:09:13,064 ----------------------------------------------------------------------------------------------------
2021-06-19 23:09:52,604 epoch 17 - iter 22/226 - loss 7.73607750 - samples/sec: 17.81 - lr: 0.100000
2021-06-19 23:10:32,486 epoch 17 - iter 44/226 - loss 7.73928639 - samples/sec: 17.65 - lr: 0.100000
2021-06-19 23:11:10,667 epoch 17 - iter 66/226 - loss 7.63883965 - samples/sec: 18.44 - lr: 0.100000
2021-06-19 23:11:51,083 epoch 17 - iter 88/226 - loss 7.72254235 - samples/sec: 17.42 - lr: 0.100000
2021-06-19 23:12:31,450 epoch 17 - iter 110/226 - loss 7.74242154 - samples/sec: 17.44 - lr: 0.100000
2021-06-19 23:13:12,164 epoch 17 - iter 132/226 - loss 7.83541466 - samples/sec: 17.29 - lr: 0.100000
2021-06-19 23:13:55,782 epoch 17 - iter 154/226 - loss 7.83672282 - samples/sec: 16.14 - lr: 0.100000
2021-06-19 23:14:38,050 epoch 17 - iter 176/226 - loss 7.82949555 - samples/sec: 16.66 - lr: 0.100000
2021-06-19 23:15:19,393 epoch 17 - iter 198/226 - loss 7.83686807 - samples/sec: 17.03 - lr: 0.100000
2021-06-19 23:15:59,282 epoch 17 - iter 220/226 - loss 7.81393703 - samples/sec: 17.65 - lr: 0.100000
2021-06-19 23:16:09,726 ----------------------------------------------------------------------------------------------------
2021-06-19 23:16:09,728 EPOCH 17 done: loss 7.8079 - lr 0.1000000
2021-06-19 23:16:09,731 BAD EPOCHS (no improvement): 0
2021-06-19 23:16:09,739 ----------------------------------------------------------------------------------------------------
2021-06-19 23:16:53,102 epoch 18 - iter 22/226 - loss 7.61838447 - samples/sec: 16.24 - lr: 0.100000
2021-06-19 23:17:33,527 epoch 18 - iter 44/226 - loss 7.40776334 - samples/sec: 17.42 - lr: 0.100000
2021-06-19 23:18:14,974 epoch 18 - iter 66/226 - loss 7.47467644 - samples/sec: 16.99 - lr: 0.100000
2021-06-19 23:18:57,410 epoch 18 - iter 88/226 - loss 7.49323686 - samples/sec: 16.59 - lr: 0.100000
2021-06-19 23:19:36,983 epoch 18 - iter 110/226 - loss 7.55506722 - samples/sec: 17.79 - lr: 0.100000
2021-06-19 23:20:15,922 epoch 18 - iter 132/226 - loss 7.54478716 - samples/sec: 18.08 - lr: 0.100000
2021-06-19 23:20:56,516 epoch 18 - iter 154/226 - loss 7.55942460 - samples/sec: 17.34 - lr: 0.100000
2021-06-19 23:21:32,881 epoch 18 - iter 176/226 - loss 7.52175536 - samples/sec: 19.36 - lr: 0.100000
2021-06-19 23:22:14,208 epoch 18 - iter 198/226 - loss 7.54639348 - samples/sec: 17.04 - lr: 0.100000
2021-06-19 23:22:53,690 epoch 18 - iter 220/226 - loss 7.50872627 - samples/sec: 17.83 - lr: 0.100000
2021-06-19 23:23:05,561 ----------------------------------------------------------------------------------------------------
2021-06-19 23:23:05,564 EPOCH 18 done: loss 7.5108 - lr 0.1000000
2021-06-19 23:23:05,571 BAD EPOCHS (no improvement): 0
2021-06-19 23:23:05,578 ----------------------------------------------------------------------------------------------------
2021-06-19 23:23:43,860 epoch 19 - iter 22/226 - loss 7.48604534 - samples/sec: 18.40 - lr: 0.100000
2021-06-19 23:24:23,678 epoch 19 - iter 44/226 - loss 7.49531722 - samples/sec: 17.68 - lr: 0.100000
2021-06-19 23:25:05,503 epoch 19 - iter 66/226 - loss 7.45181345 - samples/sec: 16.83 - lr: 0.100000
2021-06-19 23:25:44,633 epoch 19 - iter 88/226 - loss 7.32403324 - samples/sec: 17.99 - lr: 0.100000
2021-06-19 23:26:22,551 epoch 19 - iter 110/226 - loss 7.28483176 - samples/sec: 18.57 - lr: 0.100000
2021-06-19 23:27:03,917 epoch 19 - iter 132/226 - loss 7.36751896 - samples/sec: 17.02 - lr: 0.100000
2021-06-19 23:27:44,406 epoch 19 - iter 154/226 - loss 7.33174939 - samples/sec: 17.39 - lr: 0.100000
2021-06-19 23:28:27,415 epoch 19 - iter 176/226 - loss 7.37987812 - samples/sec: 16.37 - lr: 0.100000
2021-06-19 23:29:05,808 epoch 19 - iter 198/226 - loss 7.39995756 - samples/sec: 18.34 - lr: 0.100000
2021-06-19 23:29:46,150 epoch 19 - iter 220/226 - loss 7.39203266 - samples/sec: 17.45 - lr: 0.100000
2021-06-19 23:29:56,724 ----------------------------------------------------------------------------------------------------
2021-06-19 23:29:56,727 EPOCH 19 done: loss 7.3755 - lr 0.1000000
2021-06-19 23:29:56,729 BAD EPOCHS (no improvement): 0
2021-06-19 23:29:56,738 ----------------------------------------------------------------------------------------------------
2021-06-19 23:30:37,524 epoch 20 - iter 22/226 - loss 7.23530132 - samples/sec: 17.26 - lr: 0.100000
2021-06-19 23:31:20,064 epoch 20 - iter 44/226 - loss 7.26172456 - samples/sec: 16.55 - lr: 0.100000
2021-06-19 23:32:00,155 epoch 20 - iter 66/226 - loss 7.28719392 - samples/sec: 17.56 - lr: 0.100000
2021-06-19 23:32:41,303 epoch 20 - iter 88/226 - loss 7.16712596 - samples/sec: 17.11 - lr: 0.100000
2021-06-19 23:33:21,447 epoch 20 - iter 110/226 - loss 7.17164861 - samples/sec: 17.54 - lr: 0.100000
2021-06-19 23:34:02,332 epoch 20 - iter 132/226 - loss 7.15996321 - samples/sec: 17.22 - lr: 0.100000
2021-06-19 23:34:42,920 epoch 20 - iter 154/226 - loss 7.17665480 - samples/sec: 17.35 - lr: 0.100000
2021-06-19 23:35:23,982 epoch 20 - iter 176/226 - loss 7.18347065 - samples/sec: 17.15 - lr: 0.100000
2021-06-19 23:36:02,986 epoch 20 - iter 198/226 - loss 7.20951468 - samples/sec: 18.05 - lr: 0.100000
2021-06-19 23:36:45,000 epoch 20 - iter 220/226 - loss 7.23041153 - samples/sec: 16.76 - lr: 0.100000
2021-06-19 23:36:54,794 ----------------------------------------------------------------------------------------------------
2021-06-19 23:36:54,796 EPOCH 20 done: loss 7.2359 - lr 0.1000000
2021-06-19 23:36:54,800 BAD EPOCHS (no improvement): 0
2021-06-19 23:36:54,810 ----------------------------------------------------------------------------------------------------
2021-06-19 23:37:35,581 epoch 21 - iter 22/226 - loss 7.30053321 - samples/sec: 17.27 - lr: 0.100000
2021-06-19 23:38:19,707 epoch 21 - iter 44/226 - loss 7.09783501 - samples/sec: 15.96 - lr: 0.100000
2021-06-19 23:39:00,068 epoch 21 - iter 66/226 - loss 7.17730390 - samples/sec: 17.44 - lr: 0.100000
2021-06-19 23:39:40,123 epoch 21 - iter 88/226 - loss 7.14830063 - samples/sec: 17.58 - lr: 0.100000
2021-06-19 23:40:20,647 epoch 21 - iter 110/226 - loss 7.14108107 - samples/sec: 17.37 - lr: 0.100000
2021-06-19 23:40:59,713 epoch 21 - iter 132/226 - loss 7.15385366 - samples/sec: 18.02 - lr: 0.100000
2021-06-19 23:41:40,953 epoch 21 - iter 154/226 - loss 7.18645169 - samples/sec: 17.07 - lr: 0.100000
2021-06-19 23:42:22,006 epoch 21 - iter 176/226 - loss 7.12468719 - samples/sec: 17.15 - lr: 0.100000
2021-06-19 23:43:00,881 epoch 21 - iter 198/226 - loss 7.07686092 - samples/sec: 18.11 - lr: 0.100000
2021-06-19 23:43:40,102 epoch 21 - iter 220/226 - loss 7.07087665 - samples/sec: 17.95 - lr: 0.100000
2021-06-19 23:43:51,394 ----------------------------------------------------------------------------------------------------
2021-06-19 23:43:51,399 EPOCH 21 done: loss 7.0881 - lr 0.1000000
2021-06-19 23:43:51,401 BAD EPOCHS (no improvement): 0
2021-06-19 23:43:51,407 ----------------------------------------------------------------------------------------------------
2021-06-19 23:44:32,854 epoch 22 - iter 22/226 - loss 6.64232271 - samples/sec: 16.99 - lr: 0.100000
2021-06-19 23:45:12,726 epoch 22 - iter 44/226 - loss 6.69444893 - samples/sec: 17.66 - lr: 0.100000
2021-06-19 23:45:55,000 epoch 22 - iter 66/226 - loss 6.85103811 - samples/sec: 16.66 - lr: 0.100000
2021-06-19 23:46:34,715 epoch 22 - iter 88/226 - loss 6.91085123 - samples/sec: 17.73 - lr: 0.100000
2021-06-19 23:47:15,582 epoch 22 - iter 110/226 - loss 6.95610839 - samples/sec: 17.23 - lr: 0.100000
2021-06-19 23:47:54,605 epoch 22 - iter 132/226 - loss 6.88492396 - samples/sec: 18.04 - lr: 0.100000
2021-06-19 23:48:33,666 epoch 22 - iter 154/226 - loss 6.85387974 - samples/sec: 18.03 - lr: 0.100000
2021-06-19 23:49:16,131 epoch 22 - iter 176/226 - loss 6.83927820 - samples/sec: 16.58 - lr: 0.100000
2021-06-19 23:49:55,615 epoch 22 - iter 198/226 - loss 6.82188749 - samples/sec: 17.83 - lr: 0.100000
2021-06-19 23:50:39,061 epoch 22 - iter 220/226 - loss 6.82482482 - samples/sec: 16.21 - lr: 0.100000
2021-06-19 23:50:49,759 ----------------------------------------------------------------------------------------------------
2021-06-19 23:50:49,762 EPOCH 22 done: loss 6.8120 - lr 0.1000000
2021-06-19 23:50:49,764 BAD EPOCHS (no improvement): 0
2021-06-19 23:50:49,774 ----------------------------------------------------------------------------------------------------
2021-06-19 23:51:29,387 epoch 23 - iter 22/226 - loss 6.29884395 - samples/sec: 17.77 - lr: 0.100000
2021-06-19 23:52:11,947 epoch 23 - iter 44/226 - loss 6.47764650 - samples/sec: 16.54 - lr: 0.100000
2021-06-19 23:52:53,147 epoch 23 - iter 66/226 - loss 6.66980069 - samples/sec: 17.09 - lr: 0.100000
2021-06-19 23:53:33,116 epoch 23 - iter 88/226 - loss 6.63986526 - samples/sec: 17.62 - lr: 0.100000
2021-06-19 23:54:12,571 epoch 23 - iter 110/226 - loss 6.62821735 - samples/sec: 17.85 - lr: 0.100000
2021-06-19 23:54:51,573 epoch 23 - iter 132/226 - loss 6.60830817 - samples/sec: 18.05 - lr: 0.100000
2021-06-19 23:55:30,048 epoch 23 - iter 154/226 - loss 6.59467639 - samples/sec: 18.30 - lr: 0.100000
2021-06-19 23:56:10,552 epoch 23 - iter 176/226 - loss 6.65256411 - samples/sec: 17.38 - lr: 0.100000
2021-06-19 23:56:49,899 epoch 23 - iter 198/226 - loss 6.67760521 - samples/sec: 17.89 - lr: 0.100000
2021-06-19 23:57:31,921 epoch 23 - iter 220/226 - loss 6.69960308 - samples/sec: 16.76 - lr: 0.100000
2021-06-19 23:57:41,696 ----------------------------------------------------------------------------------------------------
2021-06-19 23:57:41,698 EPOCH 23 done: loss 6.6855 - lr 0.1000000
2021-06-19 23:57:41,701 BAD EPOCHS (no improvement): 0
2021-06-19 23:57:41,713 ----------------------------------------------------------------------------------------------------
2021-06-19 23:58:24,721 epoch 24 - iter 22/226 - loss 6.68739072 - samples/sec: 16.37 - lr: 0.100000
2021-06-19 23:59:06,113 epoch 24 - iter 44/226 - loss 6.36426100 - samples/sec: 17.01 - lr: 0.100000
2021-06-19 23:59:45,169 epoch 24 - iter 66/226 - loss 6.41039694 - samples/sec: 18.03 - lr: 0.100000
2021-06-20 00:00:26,800 epoch 24 - iter 88/226 - loss 6.38564957 - samples/sec: 16.91 - lr: 0.100000
2021-06-20 00:01:07,107 epoch 24 - iter 110/226 - loss 6.44013370 - samples/sec: 17.47 - lr: 0.100000
2021-06-20 00:01:51,848 epoch 24 - iter 132/226 - loss 6.41785277 - samples/sec: 15.74 - lr: 0.100000
2021-06-20 00:02:28,527 epoch 24 - iter 154/226 - loss 6.35064726 - samples/sec: 19.20 - lr: 0.100000
2021-06-20 00:03:08,276 epoch 24 - iter 176/226 - loss 6.40311042 - samples/sec: 17.71 - lr: 0.100000
2021-06-20 00:03:47,920 epoch 24 - iter 198/226 - loss 6.43459685 - samples/sec: 17.76 - lr: 0.100000
2021-06-20 00:04:28,575 epoch 24 - iter 220/226 - loss 6.45429507 - samples/sec: 17.32 - lr: 0.100000
2021-06-20 00:04:39,626 ----------------------------------------------------------------------------------------------------
2021-06-20 00:04:39,629 EPOCH 24 done: loss 6.4586 - lr 0.1000000
2021-06-20 00:04:39,632 BAD EPOCHS (no improvement): 0
2021-06-20 00:04:39,643 ----------------------------------------------------------------------------------------------------
2021-06-20 00:05:21,338 epoch 25 - iter 22/226 - loss 6.16224094 - samples/sec: 16.89 - lr: 0.100000
2021-06-20 00:06:01,728 epoch 25 - iter 44/226 - loss 6.15059454 - samples/sec: 17.43 - lr: 0.100000
2021-06-20 00:06:43,342 epoch 25 - iter 66/226 - loss 6.29865092 - samples/sec: 16.92 - lr: 0.100000
2021-06-20 00:07:23,417 epoch 25 - iter 88/226 - loss 6.27962904 - samples/sec: 17.57 - lr: 0.100000
2021-06-20 00:08:05,249 epoch 25 - iter 110/226 - loss 6.30213635 - samples/sec: 16.83 - lr: 0.100000
2021-06-20 00:08:46,617 epoch 25 - iter 132/226 - loss 6.38721075 - samples/sec: 17.02 - lr: 0.100000
2021-06-20 00:09:27,728 epoch 25 - iter 154/226 - loss 6.42476559 - samples/sec: 17.13 - lr: 0.100000
2021-06-20 00:10:08,445 epoch 25 - iter 176/226 - loss 6.43641129 - samples/sec: 17.29 - lr: 0.100000
2021-06-20 00:10:46,976 epoch 25 - iter 198/226 - loss 6.42104139 - samples/sec: 18.27 - lr: 0.100000
2021-06-20 00:11:27,809 epoch 25 - iter 220/226 - loss 6.42280574 - samples/sec: 17.24 - lr: 0.100000
2021-06-20 00:11:36,811 ----------------------------------------------------------------------------------------------------
2021-06-20 00:11:36,814 EPOCH 25 done: loss 6.4209 - lr 0.1000000
2021-06-20 00:11:36,817 BAD EPOCHS (no improvement): 0
2021-06-20 00:11:36,827 ----------------------------------------------------------------------------------------------------
2021-06-20 00:12:16,178 epoch 26 - iter 22/226 - loss 5.97418349 - samples/sec: 17.89 - lr: 0.100000
2021-06-20 00:12:57,960 epoch 26 - iter 44/226 - loss 6.28336235 - samples/sec: 16.85 - lr: 0.100000
2021-06-20 00:13:39,392 epoch 26 - iter 66/226 - loss 6.13415751 - samples/sec: 16.99 - lr: 0.100000
2021-06-20 00:14:20,218 epoch 26 - iter 88/226 - loss 6.14499000 - samples/sec: 17.25 - lr: 0.100000
2021-06-20 00:14:58,116 epoch 26 - iter 110/226 - loss 6.13282369 - samples/sec: 18.58 - lr: 0.100000
2021-06-20 00:15:39,741 epoch 26 - iter 132/226 - loss 6.18380633 - samples/sec: 16.92 - lr: 0.100000
2021-06-20 00:16:20,910 epoch 26 - iter 154/226 - loss 6.23610414 - samples/sec: 17.10 - lr: 0.100000
2021-06-20 00:17:01,417 epoch 26 - iter 176/226 - loss 6.24192940 - samples/sec: 17.38 - lr: 0.100000
2021-06-20 00:17:41,568 epoch 26 - iter 198/226 - loss 6.22170579 - samples/sec: 17.54 - lr: 0.100000
2021-06-20 00:18:22,839 epoch 26 - iter 220/226 - loss 6.24607339 - samples/sec: 17.06 - lr: 0.100000
2021-06-20 00:18:33,095 ----------------------------------------------------------------------------------------------------
2021-06-20 00:18:33,097 EPOCH 26 done: loss 6.2509 - lr 0.1000000
2021-06-20 00:18:33,099 BAD EPOCHS (no improvement): 0
2021-06-20 00:18:33,109 ----------------------------------------------------------------------------------------------------
2021-06-20 00:19:12,839 epoch 27 - iter 22/226 - loss 5.85187230 - samples/sec: 17.72 - lr: 0.100000
2021-06-20 00:19:53,381 epoch 27 - iter 44/226 - loss 5.92555925 - samples/sec: 17.37 - lr: 0.100000
2021-06-20 00:20:33,809 epoch 27 - iter 66/226 - loss 6.00869643 - samples/sec: 17.42 - lr: 0.100000
2021-06-20 00:21:15,819 epoch 27 - iter 88/226 - loss 6.04808531 - samples/sec: 16.76 - lr: 0.100000
2021-06-20 00:21:56,591 epoch 27 - iter 110/226 - loss 6.06147181 - samples/sec: 17.27 - lr: 0.100000
2021-06-20 00:22:37,677 epoch 27 - iter 132/226 - loss 6.06967523 - samples/sec: 17.14 - lr: 0.100000
2021-06-20 00:23:17,470 epoch 27 - iter 154/226 - loss 6.03885064 - samples/sec: 17.69 - lr: 0.100000
2021-06-20 00:23:58,919 epoch 27 - iter 176/226 - loss 6.06981588 - samples/sec: 16.99 - lr: 0.100000
2021-06-20 00:24:38,543 epoch 27 - iter 198/226 - loss 6.06521968 - samples/sec: 17.77 - lr: 0.100000
2021-06-20 00:25:18,856 epoch 27 - iter 220/226 - loss 6.10824347 - samples/sec: 17.47 - lr: 0.100000
2021-06-20 00:25:29,156 ----------------------------------------------------------------------------------------------------
2021-06-20 00:25:29,159 EPOCH 27 done: loss 6.1160 - lr 0.1000000
2021-06-20 00:25:29,163 BAD EPOCHS (no improvement): 0
2021-06-20 00:25:29,172 ----------------------------------------------------------------------------------------------------
2021-06-20 00:26:10,116 epoch 28 - iter 22/226 - loss 5.96908591 - samples/sec: 17.20 - lr: 0.100000
2021-06-20 00:26:49,033 epoch 28 - iter 44/226 - loss 6.02763221 - samples/sec: 18.09 - lr: 0.100000
2021-06-20 00:27:30,067 epoch 28 - iter 66/226 - loss 6.09574208 - samples/sec: 17.16 - lr: 0.100000
2021-06-20 00:28:11,996 epoch 28 - iter 88/226 - loss 6.07220777 - samples/sec: 16.79 - lr: 0.100000
2021-06-20 00:28:55,503 epoch 28 - iter 110/226 - loss 6.03855952 - samples/sec: 16.18 - lr: 0.100000
2021-06-20 00:29:34,485 epoch 28 - iter 132/226 - loss 6.02940369 - samples/sec: 18.06 - lr: 0.100000
2021-06-20 00:30:14,866 epoch 28 - iter 154/226 - loss 6.05598663 - samples/sec: 17.44 - lr: 0.100000
2021-06-20 00:30:53,005 epoch 28 - iter 176/226 - loss 6.05275788 - samples/sec: 18.46 - lr: 0.100000
2021-06-20 00:31:33,506 epoch 28 - iter 198/226 - loss 6.03800196 - samples/sec: 17.38 - lr: 0.100000
2021-06-20 00:32:14,845 epoch 28 - iter 220/226 - loss 6.03729972 - samples/sec: 17.03 - lr: 0.100000
2021-06-20 00:32:25,941 ----------------------------------------------------------------------------------------------------
2021-06-20 00:32:25,943 EPOCH 28 done: loss 6.0360 - lr 0.1000000
2021-06-20 00:32:25,946 BAD EPOCHS (no improvement): 0
2021-06-20 00:32:25,955 ----------------------------------------------------------------------------------------------------
2021-06-20 00:33:07,187 epoch 29 - iter 22/226 - loss 5.74807980 - samples/sec: 17.08 - lr: 0.100000
2021-06-20 00:33:50,276 epoch 29 - iter 44/226 - loss 5.92802409 - samples/sec: 16.34 - lr: 0.100000
2021-06-20 00:34:30,335 epoch 29 - iter 66/226 - loss 5.95917593 - samples/sec: 17.58 - lr: 0.100000
2021-06-20 00:35:11,470 epoch 29 - iter 88/226 - loss 6.03759176 - samples/sec: 17.12 - lr: 0.100000
2021-06-20 00:35:50,731 epoch 29 - iter 110/226 - loss 6.02328456 - samples/sec: 17.93 - lr: 0.100000
2021-06-20 00:36:34,392 epoch 29 - iter 132/226 - loss 5.98062685 - samples/sec: 16.13 - lr: 0.100000
2021-06-20 00:37:14,737 epoch 29 - iter 154/226 - loss 5.98377217 - samples/sec: 17.45 - lr: 0.100000
2021-06-20 00:37:55,629 epoch 29 - iter 176/226 - loss 5.98044431 - samples/sec: 17.22 - lr: 0.100000
2021-06-20 00:38:34,375 epoch 29 - iter 198/226 - loss 5.98149234 - samples/sec: 18.17 - lr: 0.100000
2021-06-20 00:39:15,032 epoch 29 - iter 220/226 - loss 5.95315865 - samples/sec: 17.32 - lr: 0.100000
2021-06-20 00:39:26,263 ----------------------------------------------------------------------------------------------------
2021-06-20 00:39:26,267 EPOCH 29 done: loss 5.9698 - lr 0.1000000
2021-06-20 00:39:26,269 BAD EPOCHS (no improvement): 0
2021-06-20 00:39:26,277 ----------------------------------------------------------------------------------------------------
2021-06-20 00:40:08,659 epoch 30 - iter 22/226 - loss 5.61955036 - samples/sec: 16.61 - lr: 0.100000
2021-06-20 00:40:45,752 epoch 30 - iter 44/226 - loss 5.45146234 - samples/sec: 18.98 - lr: 0.100000
2021-06-20 00:41:26,250 epoch 30 - iter 66/226 - loss 5.55154574 - samples/sec: 17.39 - lr: 0.100000
2021-06-20 00:42:06,647 epoch 30 - iter 88/226 - loss 5.58797041 - samples/sec: 17.43 - lr: 0.100000
2021-06-20 00:42:46,349 epoch 30 - iter 110/226 - loss 5.60831777 - samples/sec: 17.73 - lr: 0.100000
2021-06-20 00:43:28,351 epoch 30 - iter 132/226 - loss 5.68233821 - samples/sec: 16.76 - lr: 0.100000
2021-06-20 00:44:12,311 epoch 30 - iter 154/226 - loss 5.72120254 - samples/sec: 16.02 - lr: 0.100000
2021-06-20 00:44:53,971 epoch 30 - iter 176/226 - loss 5.71837504 - samples/sec: 16.90 - lr: 0.100000
2021-06-20 00:45:34,597 epoch 30 - iter 198/226 - loss 5.74910328 - samples/sec: 17.33 - lr: 0.100000
2021-06-20 00:46:13,764 epoch 30 - iter 220/226 - loss 5.75022198 - samples/sec: 17.98 - lr: 0.100000
2021-06-20 00:46:26,555 ----------------------------------------------------------------------------------------------------
2021-06-20 00:46:26,558 EPOCH 30 done: loss 5.7598 - lr 0.1000000
2021-06-20 00:46:26,561 BAD EPOCHS (no improvement): 0
2021-06-20 00:46:26,569 ----------------------------------------------------------------------------------------------------
2021-06-20 00:47:05,888 epoch 31 - iter 22/226 - loss 5.78018022 - samples/sec: 17.91 - lr: 0.100000
2021-06-20 00:47:47,572 epoch 31 - iter 44/226 - loss 5.61437650 - samples/sec: 16.89 - lr: 0.100000
2021-06-20 00:48:28,776 epoch 31 - iter 66/226 - loss 5.64397382 - samples/sec: 17.09 - lr: 0.100000
2021-06-20 00:49:07,187 epoch 31 - iter 88/226 - loss 5.57637811 - samples/sec: 18.33 - lr: 0.100000
2021-06-20 00:49:49,688 epoch 31 - iter 110/226 - loss 5.69586064 - samples/sec: 16.57 - lr: 0.100000
2021-06-20 00:50:31,424 epoch 31 - iter 132/226 - loss 5.66740198 - samples/sec: 16.87 - lr: 0.100000
2021-06-20 00:51:12,494 epoch 31 - iter 154/226 - loss 5.66870023 - samples/sec: 17.14 - lr: 0.100000
2021-06-20 00:51:52,040 epoch 31 - iter 176/226 - loss 5.67501788 - samples/sec: 17.80 - lr: 0.100000
2021-06-20 00:52:30,826 epoch 31 - iter 198/226 - loss 5.67489910 - samples/sec: 18.15 - lr: 0.100000
2021-06-20 00:53:11,976 epoch 31 - iter 220/226 - loss 5.69657542 - samples/sec: 17.11 - lr: 0.100000
2021-06-20 00:53:21,951 ----------------------------------------------------------------------------------------------------
2021-06-20 00:53:21,955 EPOCH 31 done: loss 5.6895 - lr 0.1000000
2021-06-20 00:53:21,961 BAD EPOCHS (no improvement): 0
2021-06-20 00:53:21,967 ----------------------------------------------------------------------------------------------------
2021-06-20 00:54:03,510 epoch 32 - iter 22/226 - loss 5.34118999 - samples/sec: 16.95 - lr: 0.100000
2021-06-20 00:54:43,491 epoch 32 - iter 44/226 - loss 5.40023369 - samples/sec: 17.61 - lr: 0.100000
2021-06-20 00:55:24,930 epoch 32 - iter 66/226 - loss 5.50604292 - samples/sec: 16.99 - lr: 0.100000
2021-06-20 00:56:03,494 epoch 32 - iter 88/226 - loss 5.52452860 - samples/sec: 18.26 - lr: 0.100000
2021-06-20 00:56:43,273 epoch 32 - iter 110/226 - loss 5.50124368 - samples/sec: 17.70 - lr: 0.100000
2021-06-20 00:57:24,104 epoch 32 - iter 132/226 - loss 5.49244575 - samples/sec: 17.24 - lr: 0.100000
2021-06-20 00:58:05,644 epoch 32 - iter 154/226 - loss 5.50807215 - samples/sec: 16.95 - lr: 0.100000
2021-06-20 00:58:44,655 epoch 32 - iter 176/226 - loss 5.54000293 - samples/sec: 18.05 - lr: 0.100000
2021-06-20 00:59:25,181 epoch 32 - iter 198/226 - loss 5.52410917 - samples/sec: 17.37 - lr: 0.100000
2021-06-20 01:00:08,834 epoch 32 - iter 220/226 - loss 5.54605171 - samples/sec: 16.13 - lr: 0.100000
2021-06-20 01:00:20,095 ----------------------------------------------------------------------------------------------------
2021-06-20 01:00:20,098 EPOCH 32 done: loss 5.5293 - lr 0.1000000
2021-06-20 01:00:20,101 BAD EPOCHS (no improvement): 0
2021-06-20 01:00:20,113 ----------------------------------------------------------------------------------------------------
2021-06-20 01:00:59,419 epoch 33 - iter 22/226 - loss 5.34580387 - samples/sec: 17.91 - lr: 0.100000
2021-06-20 01:01:40,518 epoch 33 - iter 44/226 - loss 5.37489976 - samples/sec: 17.13 - lr: 0.100000
2021-06-20 01:02:21,430 epoch 33 - iter 66/226 - loss 5.39985917 - samples/sec: 17.21 - lr: 0.100000
2021-06-20 01:03:00,973 epoch 33 - iter 88/226 - loss 5.47907344 - samples/sec: 17.81 - lr: 0.100000
2021-06-20 01:03:44,000 epoch 33 - iter 110/226 - loss 5.48392062 - samples/sec: 16.36 - lr: 0.100000
2021-06-20 01:04:24,931 epoch 33 - iter 132/226 - loss 5.41889935 - samples/sec: 17.20 - lr: 0.100000
2021-06-20 01:05:08,209 epoch 33 - iter 154/226 - loss 5.46046902 - samples/sec: 16.27 - lr: 0.100000
2021-06-20 01:05:45,145 epoch 33 - iter 176/226 - loss 5.48743550 - samples/sec: 19.06 - lr: 0.100000
2021-06-20 01:06:25,037 epoch 33 - iter 198/226 - loss 5.50186966 - samples/sec: 17.65 - lr: 0.100000
2021-06-20 01:07:04,920 epoch 33 - iter 220/226 - loss 5.47988672 - samples/sec: 17.65 - lr: 0.100000
2021-06-20 01:07:14,809 ----------------------------------------------------------------------------------------------------
2021-06-20 01:07:14,811 EPOCH 33 done: loss 5.4880 - lr 0.1000000
2021-06-20 01:07:14,814 BAD EPOCHS (no improvement): 0
2021-06-20 01:07:14,824 ----------------------------------------------------------------------------------------------------
2021-06-20 01:07:54,561 epoch 34 - iter 22/226 - loss 4.99060655 - samples/sec: 17.72 - lr: 0.100000
2021-06-20 01:08:37,152 epoch 34 - iter 44/226 - loss 5.30735019 - samples/sec: 16.53 - lr: 0.100000
2021-06-20 01:09:16,244 epoch 34 - iter 66/226 - loss 5.22981951 - samples/sec: 18.01 - lr: 0.100000
2021-06-20 01:09:57,491 epoch 34 - iter 88/226 - loss 5.27320788 - samples/sec: 17.07 - lr: 0.100000
2021-06-20 01:10:38,763 epoch 34 - iter 110/226 - loss 5.24850624 - samples/sec: 17.06 - lr: 0.100000
2021-06-20 01:11:19,623 epoch 34 - iter 132/226 - loss 5.23107820 - samples/sec: 17.23 - lr: 0.100000
2021-06-20 01:12:01,056 epoch 34 - iter 154/226 - loss 5.29679285 - samples/sec: 16.99 - lr: 0.100000
2021-06-20 01:12:40,835 epoch 34 - iter 176/226 - loss 5.33411279 - samples/sec: 17.70 - lr: 0.100000
2021-06-20 01:13:21,097 epoch 34 - iter 198/226 - loss 5.35017545 - samples/sec: 17.49 - lr: 0.100000
2021-06-20 01:14:00,291 epoch 34 - iter 220/226 - loss 5.35649032 - samples/sec: 17.96 - lr: 0.100000
2021-06-20 01:14:11,141 ----------------------------------------------------------------------------------------------------
2021-06-20 01:14:11,143 EPOCH 34 done: loss 5.3588 - lr 0.1000000
2021-06-20 01:14:11,148 BAD EPOCHS (no improvement): 0
2021-06-20 01:14:11,161 ----------------------------------------------------------------------------------------------------
2021-06-20 01:14:49,684 epoch 35 - iter 22/226 - loss 5.01343284 - samples/sec: 18.28 - lr: 0.100000
2021-06-20 01:15:29,925 epoch 35 - iter 44/226 - loss 5.27853618 - samples/sec: 17.50 - lr: 0.100000
2021-06-20 01:16:10,321 epoch 35 - iter 66/226 - loss 5.24159253 - samples/sec: 17.43 - lr: 0.100000
2021-06-20 01:16:49,646 epoch 35 - iter 88/226 - loss 5.25663784 - samples/sec: 17.91 - lr: 0.100000
2021-06-20 01:17:33,145 epoch 35 - iter 110/226 - loss 5.29403046 - samples/sec: 16.19 - lr: 0.100000
2021-06-20 01:18:12,132 epoch 35 - iter 132/226 - loss 5.35462751 - samples/sec: 18.06 - lr: 0.100000
2021-06-20 01:18:52,027 epoch 35 - iter 154/226 - loss 5.35083315 - samples/sec: 17.65 - lr: 0.100000
2021-06-20 01:19:34,241 epoch 35 - iter 176/226 - loss 5.33254068 - samples/sec: 16.68 - lr: 0.100000
2021-06-20 01:20:15,544 epoch 35 - iter 198/226 - loss 5.37542331 - samples/sec: 17.05 - lr: 0.100000
2021-06-20 01:20:57,125 epoch 35 - iter 220/226 - loss 5.37694357 - samples/sec: 16.93 - lr: 0.100000
2021-06-20 01:21:07,459 ----------------------------------------------------------------------------------------------------
2021-06-20 01:21:07,462 EPOCH 35 done: loss 5.3769 - lr 0.1000000
2021-06-20 01:21:07,464 BAD EPOCHS (no improvement): 1
2021-06-20 01:21:07,476 ----------------------------------------------------------------------------------------------------
2021-06-20 01:21:49,292 epoch 36 - iter 22/226 - loss 5.37435510 - samples/sec: 16.84 - lr: 0.100000
2021-06-20 01:22:31,759 epoch 36 - iter 44/226 - loss 5.43117194 - samples/sec: 16.58 - lr: 0.100000
2021-06-20 01:23:09,872 epoch 36 - iter 66/226 - loss 5.22796838 - samples/sec: 18.47 - lr: 0.100000
2021-06-20 01:23:51,742 epoch 36 - iter 88/226 - loss 5.34430501 - samples/sec: 16.82 - lr: 0.100000
2021-06-20 01:24:32,509 epoch 36 - iter 110/226 - loss 5.28313650 - samples/sec: 17.27 - lr: 0.100000
2021-06-20 01:25:13,089 epoch 36 - iter 132/226 - loss 5.25265957 - samples/sec: 17.35 - lr: 0.100000
2021-06-20 01:25:52,353 epoch 36 - iter 154/226 - loss 5.25589329 - samples/sec: 17.93 - lr: 0.100000
2021-06-20 01:26:33,900 epoch 36 - iter 176/226 - loss 5.28189728 - samples/sec: 16.95 - lr: 0.100000
2021-06-20 01:27:13,907 epoch 36 - iter 198/226 - loss 5.29002005 - samples/sec: 17.60 - lr: 0.100000
2021-06-20 01:27:53,522 epoch 36 - iter 220/226 - loss 5.24747661 - samples/sec: 17.77 - lr: 0.100000
2021-06-20 01:28:02,598 ----------------------------------------------------------------------------------------------------
2021-06-20 01:28:02,601 EPOCH 36 done: loss 5.2364 - lr 0.1000000
2021-06-20 01:28:02,603 BAD EPOCHS (no improvement): 0
2021-06-20 01:28:02,610 ----------------------------------------------------------------------------------------------------
2021-06-20 01:28:43,774 epoch 37 - iter 22/226 - loss 4.61840435 - samples/sec: 17.10 - lr: 0.100000
2021-06-20 01:29:23,666 epoch 37 - iter 44/226 - loss 4.85291860 - samples/sec: 17.65 - lr: 0.100000
2021-06-20 01:30:01,292 epoch 37 - iter 66/226 - loss 4.95288432 - samples/sec: 18.71 - lr: 0.100000
2021-06-20 01:30:41,534 epoch 37 - iter 88/226 - loss 5.06951504 - samples/sec: 17.50 - lr: 0.100000
2021-06-20 01:31:23,252 epoch 37 - iter 110/226 - loss 5.04127476 - samples/sec: 16.88 - lr: 0.100000
2021-06-20 01:32:01,811 epoch 37 - iter 132/226 - loss 5.04073388 - samples/sec: 18.26 - lr: 0.100000
2021-06-20 01:32:41,798 epoch 37 - iter 154/226 - loss 5.03275630 - samples/sec: 17.61 - lr: 0.100000
2021-06-20 01:33:29,579 epoch 37 - iter 176/226 - loss 5.05764502 - samples/sec: 14.74 - lr: 0.100000
2021-06-20 01:34:11,832 epoch 37 - iter 198/226 - loss 5.08626485 - samples/sec: 16.66 - lr: 0.100000
2021-06-20 01:34:52,625 epoch 37 - iter 220/226 - loss 5.09525790 - samples/sec: 17.26 - lr: 0.100000
2021-06-20 01:35:02,995 ----------------------------------------------------------------------------------------------------
2021-06-20 01:35:02,999 EPOCH 37 done: loss 5.1012 - lr 0.1000000
2021-06-20 01:35:03,002 BAD EPOCHS (no improvement): 0
2021-06-20 01:35:03,013 ----------------------------------------------------------------------------------------------------
2021-06-20 01:35:44,649 epoch 38 - iter 22/226 - loss 4.80456242 - samples/sec: 16.91 - lr: 0.100000
2021-06-20 01:36:28,261 epoch 38 - iter 44/226 - loss 5.10137155 - samples/sec: 16.14 - lr: 0.100000
2021-06-20 01:37:09,271 epoch 38 - iter 66/226 - loss 5.04630431 - samples/sec: 17.17 - lr: 0.100000
2021-06-20 01:37:50,942 epoch 38 - iter 88/226 - loss 5.00841100 - samples/sec: 16.90 - lr: 0.100000
2021-06-20 01:38:28,764 epoch 38 - iter 110/226 - loss 5.01854188 - samples/sec: 18.62 - lr: 0.100000
2021-06-20 01:39:09,782 epoch 38 - iter 132/226 - loss 5.05215205 - samples/sec: 17.17 - lr: 0.100000
2021-06-20 01:39:50,810 epoch 38 - iter 154/226 - loss 5.09308343 - samples/sec: 17.16 - lr: 0.100000
2021-06-20 01:40:31,205 epoch 38 - iter 176/226 - loss 5.07228454 - samples/sec: 17.43 - lr: 0.100000
2021-06-20 01:41:15,223 epoch 38 - iter 198/226 - loss 5.09672614 - samples/sec: 16.00 - lr: 0.100000
2021-06-20 01:41:55,113 epoch 38 - iter 220/226 - loss 5.10433704 - samples/sec: 17.65 - lr: 0.100000
2021-06-20 01:42:07,307 ----------------------------------------------------------------------------------------------------
2021-06-20 01:42:07,310 EPOCH 38 done: loss 5.1134 - lr 0.1000000
2021-06-20 01:42:07,313 BAD EPOCHS (no improvement): 1
2021-06-20 01:42:07,327 ----------------------------------------------------------------------------------------------------
2021-06-20 01:42:51,230 epoch 39 - iter 22/226 - loss 5.07745487 - samples/sec: 16.04 - lr: 0.100000
2021-06-20 01:43:32,108 epoch 39 - iter 44/226 - loss 5.05978445 - samples/sec: 17.22 - lr: 0.100000
2021-06-20 01:44:11,869 epoch 39 - iter 66/226 - loss 5.02952795 - samples/sec: 17.71 - lr: 0.100000
2021-06-20 01:44:51,502 epoch 39 - iter 88/226 - loss 5.01217402 - samples/sec: 17.77 - lr: 0.100000
2021-06-20 01:45:30,725 epoch 39 - iter 110/226 - loss 5.01936149 - samples/sec: 17.95 - lr: 0.100000
2021-06-20 01:46:13,426 epoch 39 - iter 132/226 - loss 5.00285501 - samples/sec: 16.49 - lr: 0.100000
2021-06-20 01:46:56,494 epoch 39 - iter 154/226 - loss 5.00867301 - samples/sec: 16.35 - lr: 0.100000
2021-06-20 01:47:37,428 epoch 39 - iter 176/226 - loss 5.04833398 - samples/sec: 17.20 - lr: 0.100000
2021-06-20 01:48:16,608 epoch 39 - iter 198/226 - loss 5.06962118 - samples/sec: 17.97 - lr: 0.100000
2021-06-20 01:48:57,442 epoch 39 - iter 220/226 - loss 5.07109449 - samples/sec: 17.24 - lr: 0.100000
2021-06-20 01:49:09,639 ----------------------------------------------------------------------------------------------------
2021-06-20 01:49:09,643 EPOCH 39 done: loss 5.0647 - lr 0.1000000
2021-06-20 01:49:09,645 BAD EPOCHS (no improvement): 0
2021-06-20 01:49:09,652 ----------------------------------------------------------------------------------------------------
2021-06-20 01:49:49,703 epoch 40 - iter 22/226 - loss 4.84515424 - samples/sec: 17.58 - lr: 0.100000
2021-06-20 01:50:33,042 epoch 40 - iter 44/226 - loss 4.80118025 - samples/sec: 16.25 - lr: 0.100000
2021-06-20 01:51:13,460 epoch 40 - iter 66/226 - loss 4.91444419 - samples/sec: 17.42 - lr: 0.100000
2021-06-20 01:51:53,424 epoch 40 - iter 88/226 - loss 4.99085534 - samples/sec: 17.62 - lr: 0.100000
2021-06-20 01:52:34,488 epoch 40 - iter 110/226 - loss 4.95591112 - samples/sec: 17.15 - lr: 0.100000
2021-06-20 01:53:18,398 epoch 40 - iter 132/226 - loss 4.97368125 - samples/sec: 16.03 - lr: 0.100000
2021-06-20 01:53:58,672 epoch 40 - iter 154/226 - loss 4.97608495 - samples/sec: 17.48 - lr: 0.100000
2021-06-20 01:54:38,961 epoch 40 - iter 176/226 - loss 4.95849802 - samples/sec: 17.48 - lr: 0.100000
2021-06-20 01:55:23,006 epoch 40 - iter 198/226 - loss 4.95319895 - samples/sec: 15.99 - lr: 0.100000
2021-06-20 01:56:03,621 epoch 40 - iter 220/226 - loss 4.95319919 - samples/sec: 17.34 - lr: 0.100000
2021-06-20 01:56:13,927 ----------------------------------------------------------------------------------------------------
2021-06-20 01:56:13,931 EPOCH 40 done: loss 4.9568 - lr 0.1000000
2021-06-20 01:56:13,934 BAD EPOCHS (no improvement): 0
2021-06-20 01:56:13,946 ----------------------------------------------------------------------------------------------------
2021-06-20 01:56:56,025 epoch 41 - iter 22/226 - loss 4.94902391 - samples/sec: 16.73 - lr: 0.100000
2021-06-20 01:57:33,287 epoch 41 - iter 44/226 - loss 4.77676611 - samples/sec: 18.90 - lr: 0.100000
2021-06-20 01:58:13,936 epoch 41 - iter 66/226 - loss 4.77445047 - samples/sec: 17.32 - lr: 0.100000
2021-06-20 01:58:55,524 epoch 41 - iter 88/226 - loss 4.84428971 - samples/sec: 16.93 - lr: 0.100000
2021-06-20 01:59:36,059 epoch 41 - iter 110/226 - loss 4.85460842 - samples/sec: 17.37 - lr: 0.100000
2021-06-20 02:00:17,719 epoch 41 - iter 132/226 - loss 4.83235409 - samples/sec: 16.90 - lr: 0.100000
2021-06-20 02:01:01,443 epoch 41 - iter 154/226 - loss 4.86793889 - samples/sec: 16.10 - lr: 0.100000
2021-06-20 02:01:42,516 epoch 41 - iter 176/226 - loss 4.85373742 - samples/sec: 17.14 - lr: 0.100000
2021-06-20 02:02:26,901 epoch 41 - iter 198/226 - loss 4.85652962 - samples/sec: 15.86 - lr: 0.100000
2021-06-20 02:03:05,958 epoch 41 - iter 220/226 - loss 4.84015149 - samples/sec: 18.03 - lr: 0.100000
2021-06-20 02:03:15,865 ----------------------------------------------------------------------------------------------------
2021-06-20 02:03:15,867 EPOCH 41 done: loss 4.8501 - lr 0.1000000
2021-06-20 02:03:15,875 BAD EPOCHS (no improvement): 0
2021-06-20 02:03:15,883 ----------------------------------------------------------------------------------------------------
2021-06-20 02:03:56,406 epoch 42 - iter 22/226 - loss 4.98497922 - samples/sec: 17.38 - lr: 0.100000
2021-06-20 02:04:39,020 epoch 42 - iter 44/226 - loss 4.89374413 - samples/sec: 16.52 - lr: 0.100000
2021-06-20 02:05:20,521 epoch 42 - iter 66/226 - loss 4.92026459 - samples/sec: 16.97 - lr: 0.100000
2021-06-20 02:06:02,495 epoch 42 - iter 88/226 - loss 4.83089165 - samples/sec: 16.78 - lr: 0.100000
2021-06-20 02:06:39,834 epoch 42 - iter 110/226 - loss 4.82015348 - samples/sec: 18.86 - lr: 0.100000
2021-06-20 02:07:22,736 epoch 42 - iter 132/226 - loss 4.81062618 - samples/sec: 16.41 - lr: 0.100000
2021-06-20 02:08:04,696 epoch 42 - iter 154/226 - loss 4.86732172 - samples/sec: 16.78 - lr: 0.100000
2021-06-20 02:08:44,347 epoch 42 - iter 176/226 - loss 4.86596936 - samples/sec: 17.76 - lr: 0.100000
2021-06-20 02:09:27,648 epoch 42 - iter 198/226 - loss 4.84771968 - samples/sec: 16.26 - lr: 0.100000
2021-06-20 02:10:09,749 epoch 42 - iter 220/226 - loss 4.80237374 - samples/sec: 16.72 - lr: 0.100000
2021-06-20 02:10:20,674 ----------------------------------------------------------------------------------------------------
2021-06-20 02:10:20,677 EPOCH 42 done: loss 4.8044 - lr 0.1000000
2021-06-20 02:10:20,679 BAD EPOCHS (no improvement): 0
2021-06-20 02:10:20,694 ----------------------------------------------------------------------------------------------------
2021-06-20 02:11:02,577 epoch 43 - iter 22/226 - loss 4.81221467 - samples/sec: 16.81 - lr: 0.100000
2021-06-20 02:11:47,217 epoch 43 - iter 44/226 - loss 4.82352064 - samples/sec: 15.77 - lr: 0.100000
2021-06-20 02:12:31,074 epoch 43 - iter 66/226 - loss 4.80001459 - samples/sec: 16.05 - lr: 0.100000
2021-06-20 02:13:13,961 epoch 43 - iter 88/226 - loss 4.74071528 - samples/sec: 16.42 - lr: 0.100000
2021-06-20 02:13:54,456 epoch 43 - iter 110/226 - loss 4.73125886 - samples/sec: 17.39 - lr: 0.100000
2021-06-20 02:14:35,017 epoch 43 - iter 132/226 - loss 4.74212542 - samples/sec: 17.36 - lr: 0.100000
2021-06-20 02:15:16,937 epoch 43 - iter 154/226 - loss 4.71886788 - samples/sec: 16.80 - lr: 0.100000
2021-06-20 02:15:57,917 epoch 43 - iter 176/226 - loss 4.73399667 - samples/sec: 17.18 - lr: 0.100000
2021-06-20 02:16:38,173 epoch 43 - iter 198/226 - loss 4.73236581 - samples/sec: 17.49 - lr: 0.100000
2021-06-20 02:17:20,581 epoch 43 - iter 220/226 - loss 4.76391134 - samples/sec: 16.60 - lr: 0.100000
2021-06-20 02:17:30,864 ----------------------------------------------------------------------------------------------------
2021-06-20 02:17:30,865 EPOCH 43 done: loss 4.7619 - lr 0.1000000
2021-06-20 02:17:30,876 BAD EPOCHS (no improvement): 0
2021-06-20 02:17:30,884 ----------------------------------------------------------------------------------------------------
2021-06-20 02:18:11,075 epoch 44 - iter 22/226 - loss 4.50464922 - samples/sec: 17.52 - lr: 0.100000
2021-06-20 02:18:53,787 epoch 44 - iter 44/226 - loss 4.48904412 - samples/sec: 16.48 - lr: 0.100000
2021-06-20 02:19:37,379 epoch 44 - iter 66/226 - loss 4.62747054 - samples/sec: 16.15 - lr: 0.100000
2021-06-20 02:20:17,373 epoch 44 - iter 88/226 - loss 4.69318479 - samples/sec: 17.61 - lr: 0.100000
2021-06-20 02:20:58,419 epoch 44 - iter 110/226 - loss 4.67754586 - samples/sec: 17.15 - lr: 0.100000
2021-06-20 02:21:40,845 epoch 44 - iter 132/226 - loss 4.67776998 - samples/sec: 16.60 - lr: 0.100000
2021-06-20 02:22:23,964 epoch 44 - iter 154/226 - loss 4.67200465 - samples/sec: 16.33 - lr: 0.100000
2021-06-20 02:23:05,774 epoch 44 - iter 176/226 - loss 4.66746141 - samples/sec: 16.84 - lr: 0.100000
2021-06-20 02:23:46,143 epoch 44 - iter 198/226 - loss 4.69235976 - samples/sec: 17.44 - lr: 0.100000
2021-06-20 02:24:28,715 epoch 44 - iter 220/226 - loss 4.69554321 - samples/sec: 16.54 - lr: 0.100000
2021-06-20 02:24:39,736 ----------------------------------------------------------------------------------------------------
2021-06-20 02:24:39,739 EPOCH 44 done: loss 4.6935 - lr 0.1000000
2021-06-20 02:24:39,744 BAD EPOCHS (no improvement): 0
2021-06-20 02:24:39,751 ----------------------------------------------------------------------------------------------------
2021-06-20 02:25:22,430 epoch 45 - iter 22/226 - loss 4.71340749 - samples/sec: 16.50 - lr: 0.100000
2021-06-20 02:26:02,575 epoch 45 - iter 44/226 - loss 4.54027091 - samples/sec: 17.54 - lr: 0.100000
2021-06-20 02:26:47,467 epoch 45 - iter 66/226 - loss 4.63282610 - samples/sec: 15.68 - lr: 0.100000
2021-06-20 02:27:31,533 epoch 45 - iter 88/226 - loss 4.63962102 - samples/sec: 15.98 - lr: 0.100000
2021-06-20 02:28:11,340 epoch 45 - iter 110/226 - loss 4.62354048 - samples/sec: 17.69 - lr: 0.100000
2021-06-20 02:28:55,172 epoch 45 - iter 132/226 - loss 4.57019125 - samples/sec: 16.06 - lr: 0.100000
2021-06-20 02:29:37,516 epoch 45 - iter 154/226 - loss 4.58379731 - samples/sec: 16.63 - lr: 0.100000
2021-06-20 02:30:21,565 epoch 45 - iter 176/226 - loss 4.58293980 - samples/sec: 15.98 - lr: 0.100000
2021-06-20 02:30:59,869 epoch 45 - iter 198/226 - loss 4.59999351 - samples/sec: 18.38 - lr: 0.100000
2021-06-20 02:31:41,404 epoch 45 - iter 220/226 - loss 4.59296491 - samples/sec: 16.95 - lr: 0.100000
2021-06-20 02:31:52,365 ----------------------------------------------------------------------------------------------------
2021-06-20 02:31:52,368 EPOCH 45 done: loss 4.5918 - lr 0.1000000
2021-06-20 02:31:52,370 BAD EPOCHS (no improvement): 0
2021-06-20 02:31:52,379 ----------------------------------------------------------------------------------------------------
2021-06-20 02:32:35,651 epoch 46 - iter 22/226 - loss 4.47549972 - samples/sec: 16.27 - lr: 0.100000
2021-06-20 02:33:18,563 epoch 46 - iter 44/226 - loss 4.46373513 - samples/sec: 16.41 - lr: 0.100000
2021-06-20 02:34:01,516 epoch 46 - iter 66/226 - loss 4.54009892 - samples/sec: 16.39 - lr: 0.100000
2021-06-20 02:34:41,518 epoch 46 - iter 88/226 - loss 4.51243923 - samples/sec: 17.60 - lr: 0.100000
2021-06-20 02:35:24,062 epoch 46 - iter 110/226 - loss 4.48122169 - samples/sec: 16.55 - lr: 0.100000
2021-06-20 02:36:04,749 epoch 46 - iter 132/226 - loss 4.51145119 - samples/sec: 17.31 - lr: 0.100000
2021-06-20 02:36:47,295 epoch 46 - iter 154/226 - loss 4.50740825 - samples/sec: 16.55 - lr: 0.100000
2021-06-20 02:37:31,573 epoch 46 - iter 176/226 - loss 4.53884216 - samples/sec: 15.90 - lr: 0.100000
2021-06-20 02:38:15,986 epoch 46 - iter 198/226 - loss 4.57251481 - samples/sec: 15.85 - lr: 0.100000
2021-06-20 02:39:00,009 epoch 46 - iter 220/226 - loss 4.57541664 - samples/sec: 15.99 - lr: 0.100000
2021-06-20 02:39:10,891 ----------------------------------------------------------------------------------------------------
2021-06-20 02:39:10,893 EPOCH 46 done: loss 4.5636 - lr 0.1000000
2021-06-20 02:39:10,906 BAD EPOCHS (no improvement): 0
2021-06-20 02:39:10,914 ----------------------------------------------------------------------------------------------------
2021-06-20 02:39:52,495 epoch 47 - iter 22/226 - loss 4.21086178 - samples/sec: 16.93 - lr: 0.100000
2021-06-20 02:40:36,055 epoch 47 - iter 44/226 - loss 4.35002704 - samples/sec: 16.16 - lr: 0.100000
2021-06-20 02:41:15,878 epoch 47 - iter 66/226 - loss 4.41172626 - samples/sec: 17.68 - lr: 0.100000
2021-06-20 02:42:00,837 epoch 47 - iter 88/226 - loss 4.47198052 - samples/sec: 15.66 - lr: 0.100000
2021-06-20 02:42:44,996 epoch 47 - iter 110/226 - loss 4.47315357 - samples/sec: 15.94 - lr: 0.100000
2021-06-20 02:43:29,881 epoch 47 - iter 132/226 - loss 4.46498743 - samples/sec: 15.69 - lr: 0.100000
2021-06-20 02:44:12,457 epoch 47 - iter 154/226 - loss 4.47514989 - samples/sec: 16.54 - lr: 0.100000
2021-06-20 02:44:53,070 epoch 47 - iter 176/226 - loss 4.44063433 - samples/sec: 17.34 - lr: 0.100000
2021-06-20 02:45:37,779 epoch 47 - iter 198/226 - loss 4.50136522 - samples/sec: 15.75 - lr: 0.100000
2021-06-20 02:46:18,188 epoch 47 - iter 220/226 - loss 4.49233844 - samples/sec: 17.42 - lr: 0.100000
2021-06-20 02:46:28,456 ----------------------------------------------------------------------------------------------------
2021-06-20 02:46:28,459 EPOCH 47 done: loss 4.4877 - lr 0.1000000
2021-06-20 02:46:28,462 BAD EPOCHS (no improvement): 0
2021-06-20 02:46:28,471 ----------------------------------------------------------------------------------------------------
2021-06-20 02:47:12,356 epoch 48 - iter 22/226 - loss 4.57546101 - samples/sec: 16.04 - lr: 0.100000
2021-06-20 02:47:52,237 epoch 48 - iter 44/226 - loss 4.34652420 - samples/sec: 17.66 - lr: 0.100000
2021-06-20 02:48:35,405 epoch 48 - iter 66/226 - loss 4.38588793 - samples/sec: 16.31 - lr: 0.100000
2021-06-20 02:49:19,479 epoch 48 - iter 88/226 - loss 4.46392146 - samples/sec: 15.98 - lr: 0.100000
2021-06-20 02:50:03,422 epoch 48 - iter 110/226 - loss 4.46350495 - samples/sec: 16.02 - lr: 0.100000
2021-06-20 02:50:46,109 epoch 48 - iter 132/226 - loss 4.48450077 - samples/sec: 16.49 - lr: 0.100000
2021-06-20 02:51:27,975 epoch 48 - iter 154/226 - loss 4.50918438 - samples/sec: 16.82 - lr: 0.100000
2021-06-20 02:52:10,627 epoch 48 - iter 176/226 - loss 4.51261811 - samples/sec: 16.51 - lr: 0.100000
2021-06-20 02:52:50,831 epoch 48 - iter 198/226 - loss 4.50135874 - samples/sec: 17.51 - lr: 0.100000
2021-06-20 02:53:34,130 epoch 48 - iter 220/226 - loss 4.52084380 - samples/sec: 16.26 - lr: 0.100000
2021-06-20 02:53:45,426 ----------------------------------------------------------------------------------------------------
2021-06-20 02:53:45,429 EPOCH 48 done: loss 4.5207 - lr 0.1000000
2021-06-20 02:53:45,432 BAD EPOCHS (no improvement): 1
2021-06-20 02:53:45,444 ----------------------------------------------------------------------------------------------------
2021-06-20 02:54:27,964 epoch 49 - iter 22/226 - loss 4.21347735 - samples/sec: 16.56 - lr: 0.100000
2021-06-20 02:55:13,335 epoch 49 - iter 44/226 - loss 4.30577411 - samples/sec: 15.52 - lr: 0.100000
2021-06-20 02:55:54,150 epoch 49 - iter 66/226 - loss 4.36338904 - samples/sec: 17.25 - lr: 0.100000
2021-06-20 02:56:35,362 epoch 49 - iter 88/226 - loss 4.34884937 - samples/sec: 17.08 - lr: 0.100000
2021-06-20 02:57:17,067 epoch 49 - iter 110/226 - loss 4.33808913 - samples/sec: 16.88 - lr: 0.100000
2021-06-20 02:58:01,525 epoch 49 - iter 132/226 - loss 4.36148491 - samples/sec: 15.84 - lr: 0.100000
2021-06-20 02:58:44,980 epoch 49 - iter 154/226 - loss 4.38124322 - samples/sec: 16.20 - lr: 0.100000
2021-06-20 02:59:28,221 epoch 49 - iter 176/226 - loss 4.37568374 - samples/sec: 16.28 - lr: 0.100000
2021-06-20 03:00:11,369 epoch 49 - iter 198/226 - loss 4.38346551 - samples/sec: 16.32 - lr: 0.100000
2021-06-20 03:00:53,095 epoch 49 - iter 220/226 - loss 4.34820298 - samples/sec: 16.87 - lr: 0.100000
2021-06-20 03:01:04,172 ----------------------------------------------------------------------------------------------------
2021-06-20 03:01:04,177 EPOCH 49 done: loss 4.3538 - lr 0.1000000
2021-06-20 03:01:04,183 BAD EPOCHS (no improvement): 0
2021-06-20 03:01:04,193 ----------------------------------------------------------------------------------------------------
2021-06-20 03:01:46,899 epoch 50 - iter 22/226 - loss 4.42243415 - samples/sec: 16.49 - lr: 0.100000
2021-06-20 03:02:32,772 epoch 50 - iter 44/226 - loss 4.34245906 - samples/sec: 15.35 - lr: 0.100000
2021-06-20 03:03:16,760 epoch 50 - iter 66/226 - loss 4.24637900 - samples/sec: 16.01 - lr: 0.100000
2021-06-20 03:03:57,230 epoch 50 - iter 88/226 - loss 4.23902634 - samples/sec: 17.40 - lr: 0.100000
2021-06-20 03:04:39,639 epoch 50 - iter 110/226 - loss 4.28060086 - samples/sec: 16.60 - lr: 0.100000
2021-06-20 03:05:19,608 epoch 50 - iter 132/226 - loss 4.28201119 - samples/sec: 17.62 - lr: 0.100000
2021-06-20 03:05:59,926 epoch 50 - iter 154/226 - loss 4.31776967 - samples/sec: 17.46 - lr: 0.100000
2021-06-20 03:06:44,444 epoch 50 - iter 176/226 - loss 4.30280575 - samples/sec: 15.82 - lr: 0.100000
2021-06-20 03:07:26,049 epoch 50 - iter 198/226 - loss 4.28982758 - samples/sec: 16.92 - lr: 0.100000
2021-06-20 03:08:10,729 epoch 50 - iter 220/226 - loss 4.30374569 - samples/sec: 15.76 - lr: 0.100000
2021-06-20 03:08:20,727 ----------------------------------------------------------------------------------------------------
2021-06-20 03:08:20,730 EPOCH 50 done: loss 4.3074 - lr 0.1000000
2021-06-20 03:08:20,732 BAD EPOCHS (no improvement): 0
2021-06-20 03:08:20,741 ----------------------------------------------------------------------------------------------------
2021-06-20 03:09:04,378 epoch 51 - iter 22/226 - loss 4.40033888 - samples/sec: 16.14 - lr: 0.100000
2021-06-20 03:09:45,968 epoch 51 - iter 44/226 - loss 4.28948906 - samples/sec: 16.93 - lr: 0.100000
2021-06-20 03:10:26,628 epoch 51 - iter 66/226 - loss 4.20853698 - samples/sec: 17.32 - lr: 0.100000
2021-06-20 03:11:09,621 epoch 51 - iter 88/226 - loss 4.18836516 - samples/sec: 16.38 - lr: 0.100000
2021-06-20 03:11:49,770 epoch 51 - iter 110/226 - loss 4.20323844 - samples/sec: 17.54 - lr: 0.100000
2021-06-20 03:12:31,650 epoch 51 - iter 132/226 - loss 4.21789294 - samples/sec: 16.81 - lr: 0.100000
2021-06-20 03:13:13,215 epoch 51 - iter 154/226 - loss 4.26009341 - samples/sec: 16.94 - lr: 0.100000
2021-06-20 03:13:57,822 epoch 51 - iter 176/226 - loss 4.28875016 - samples/sec: 15.78 - lr: 0.100000
2021-06-20 03:14:39,316 epoch 51 - iter 198/226 - loss 4.29711997 - samples/sec: 16.97 - lr: 0.100000
2021-06-20 03:15:22,974 epoch 51 - iter 220/226 - loss 4.29513414 - samples/sec: 16.13 - lr: 0.100000
2021-06-20 03:15:34,654 ----------------------------------------------------------------------------------------------------
2021-06-20 03:15:34,657 EPOCH 51 done: loss 4.2848 - lr 0.1000000
2021-06-20 03:15:34,659 BAD EPOCHS (no improvement): 0
2021-06-20 03:15:34,671 ----------------------------------------------------------------------------------------------------
2021-06-20 03:16:15,973 epoch 52 - iter 22/226 - loss 4.03125743 - samples/sec: 17.05 - lr: 0.100000
2021-06-20 03:16:57,716 epoch 52 - iter 44/226 - loss 4.12546180 - samples/sec: 16.87 - lr: 0.100000
2021-06-20 03:17:38,282 epoch 52 - iter 66/226 - loss 4.07656442 - samples/sec: 17.36 - lr: 0.100000
2021-06-20 03:18:20,225 epoch 52 - iter 88/226 - loss 4.08209510 - samples/sec: 16.79 - lr: 0.100000
2021-06-20 03:19:01,184 epoch 52 - iter 110/226 - loss 4.15548272 - samples/sec: 17.19 - lr: 0.100000
2021-06-20 03:19:44,838 epoch 52 - iter 132/226 - loss 4.19899658 - samples/sec: 16.13 - lr: 0.100000
2021-06-20 03:20:25,843 epoch 52 - iter 154/226 - loss 4.19091809 - samples/sec: 17.17 - lr: 0.100000
2021-06-20 03:21:07,429 epoch 52 - iter 176/226 - loss 4.21858596 - samples/sec: 16.93 - lr: 0.100000
2021-06-20 03:21:50,526 epoch 52 - iter 198/226 - loss 4.23454586 - samples/sec: 16.34 - lr: 0.100000
2021-06-20 03:22:34,750 epoch 52 - iter 220/226 - loss 4.23111562 - samples/sec: 15.92 - lr: 0.100000
2021-06-20 03:22:45,764 ----------------------------------------------------------------------------------------------------
2021-06-20 03:22:45,767 EPOCH 52 done: loss 4.2249 - lr 0.1000000
2021-06-20 03:22:45,772 BAD EPOCHS (no improvement): 0
2021-06-20 03:22:45,782 ----------------------------------------------------------------------------------------------------
2021-06-20 03:23:27,912 epoch 53 - iter 22/226 - loss 4.19121837 - samples/sec: 16.71 - lr: 0.100000
2021-06-20 03:24:09,869 epoch 53 - iter 44/226 - loss 4.12773580 - samples/sec: 16.78 - lr: 0.100000
2021-06-20 03:24:51,874 epoch 53 - iter 66/226 - loss 4.09779702 - samples/sec: 16.76 - lr: 0.100000
2021-06-20 03:25:34,055 epoch 53 - iter 88/226 - loss 4.09284542 - samples/sec: 16.69 - lr: 0.100000
2021-06-20 03:26:16,130 epoch 53 - iter 110/226 - loss 4.14308993 - samples/sec: 16.73 - lr: 0.100000
2021-06-20 03:27:00,202 epoch 53 - iter 132/226 - loss 4.17674938 - samples/sec: 15.98 - lr: 0.100000
2021-06-20 03:27:41,409 epoch 53 - iter 154/226 - loss 4.15858841 - samples/sec: 17.09 - lr: 0.100000
2021-06-20 03:28:24,485 epoch 53 - iter 176/226 - loss 4.17521646 - samples/sec: 16.35 - lr: 0.100000
2021-06-20 03:29:07,825 epoch 53 - iter 198/226 - loss 4.13121837 - samples/sec: 16.25 - lr: 0.100000
2021-06-20 03:29:49,639 epoch 53 - iter 220/226 - loss 4.12280997 - samples/sec: 16.84 - lr: 0.100000
2021-06-20 03:30:00,727 ----------------------------------------------------------------------------------------------------
2021-06-20 03:30:00,729 EPOCH 53 done: loss 4.1293 - lr 0.1000000
2021-06-20 03:30:00,732 BAD EPOCHS (no improvement): 0
2021-06-20 03:30:00,744 ----------------------------------------------------------------------------------------------------
2021-06-20 03:30:45,511 epoch 54 - iter 22/226 - loss 4.03579272 - samples/sec: 15.73 - lr: 0.100000
2021-06-20 03:31:27,975 epoch 54 - iter 44/226 - loss 4.12379083 - samples/sec: 16.58 - lr: 0.100000
2021-06-20 03:32:09,028 epoch 54 - iter 66/226 - loss 4.11606202 - samples/sec: 17.15 - lr: 0.100000
2021-06-20 03:32:51,602 epoch 54 - iter 88/226 - loss 4.04456404 - samples/sec: 16.54 - lr: 0.100000
2021-06-20 03:33:35,431 epoch 54 - iter 110/226 - loss 4.03534158 - samples/sec: 16.06 - lr: 0.100000
2021-06-20 03:34:17,164 epoch 54 - iter 132/226 - loss 4.08594802 - samples/sec: 16.87 - lr: 0.100000
2021-06-20 03:34:58,797 epoch 54 - iter 154/226 - loss 4.10332837 - samples/sec: 16.91 - lr: 0.100000
2021-06-20 03:35:40,844 epoch 54 - iter 176/226 - loss 4.11771554 - samples/sec: 16.75 - lr: 0.100000
2021-06-20 03:36:24,989 epoch 54 - iter 198/226 - loss 4.13481660 - samples/sec: 15.95 - lr: 0.100000
2021-06-20 03:37:08,966 epoch 54 - iter 220/226 - loss 4.15786279 - samples/sec: 16.01 - lr: 0.100000
2021-06-20 03:37:21,810 ----------------------------------------------------------------------------------------------------
2021-06-20 03:37:21,813 EPOCH 54 done: loss 4.1525 - lr 0.1000000
2021-06-20 03:37:21,817 BAD EPOCHS (no improvement): 1
2021-06-20 03:37:21,829 ----------------------------------------------------------------------------------------------------
2021-06-20 03:38:03,565 epoch 55 - iter 22/226 - loss 4.08003291 - samples/sec: 16.87 - lr: 0.100000
2021-06-20 03:38:44,941 epoch 55 - iter 44/226 - loss 3.91954664 - samples/sec: 17.02 - lr: 0.100000
2021-06-20 03:39:30,322 epoch 55 - iter 66/226 - loss 4.05884465 - samples/sec: 15.52 - lr: 0.100000
2021-06-20 03:40:14,397 epoch 55 - iter 88/226 - loss 4.00806860 - samples/sec: 15.98 - lr: 0.100000
2021-06-20 03:40:59,440 epoch 55 - iter 110/226 - loss 4.05993229 - samples/sec: 15.63 - lr: 0.100000
2021-06-20 03:41:40,079 epoch 55 - iter 132/226 - loss 4.08332023 - samples/sec: 17.33 - lr: 0.100000
2021-06-20 03:42:22,724 epoch 55 - iter 154/226 - loss 4.08609167 - samples/sec: 16.51 - lr: 0.100000
2021-06-20 03:43:05,001 epoch 55 - iter 176/226 - loss 4.07893606 - samples/sec: 16.65 - lr: 0.100000
2021-06-20 03:43:46,970 epoch 55 - iter 198/226 - loss 4.10525621 - samples/sec: 16.78 - lr: 0.100000
2021-06-20 03:44:29,421 epoch 55 - iter 220/226 - loss 4.09539934 - samples/sec: 16.59 - lr: 0.100000
2021-06-20 03:44:40,487 ----------------------------------------------------------------------------------------------------
2021-06-20 03:44:40,490 EPOCH 55 done: loss 4.1058 - lr 0.1000000
2021-06-20 03:44:40,492 BAD EPOCHS (no improvement): 0
2021-06-20 03:44:40,505 ----------------------------------------------------------------------------------------------------
2021-06-20 03:45:23,735 epoch 56 - iter 22/226 - loss 3.94189946 - samples/sec: 16.29 - lr: 0.100000
2021-06-20 03:46:05,998 epoch 56 - iter 44/226 - loss 4.02966815 - samples/sec: 16.66 - lr: 0.100000
2021-06-20 03:46:47,028 epoch 56 - iter 66/226 - loss 4.01235641 - samples/sec: 17.16 - lr: 0.100000
2021-06-20 03:47:28,195 epoch 56 - iter 88/226 - loss 4.01555657 - samples/sec: 17.10 - lr: 0.100000
2021-06-20 03:48:11,502 epoch 56 - iter 110/226 - loss 4.02929829 - samples/sec: 16.26 - lr: 0.100000
2021-06-20 03:48:53,803 epoch 56 - iter 132/226 - loss 4.03238778 - samples/sec: 16.64 - lr: 0.100000
2021-06-20 03:49:35,176 epoch 56 - iter 154/226 - loss 4.05086024 - samples/sec: 17.02 - lr: 0.100000
2021-06-20 03:50:18,540 epoch 56 - iter 176/226 - loss 4.09357281 - samples/sec: 16.24 - lr: 0.100000
2021-06-20 03:51:02,485 epoch 56 - iter 198/226 - loss 4.12961636 - samples/sec: 16.02 - lr: 0.100000
2021-06-20 03:51:45,680 epoch 56 - iter 220/226 - loss 4.11834458 - samples/sec: 16.30 - lr: 0.100000
2021-06-20 03:51:57,675 ----------------------------------------------------------------------------------------------------
2021-06-20 03:51:57,678 EPOCH 56 done: loss 4.1163 - lr 0.1000000
2021-06-20 03:51:57,681 BAD EPOCHS (no improvement): 1
2021-06-20 03:51:57,689 ----------------------------------------------------------------------------------------------------
2021-06-20 03:52:40,560 epoch 57 - iter 22/226 - loss 3.95444615 - samples/sec: 16.43 - lr: 0.100000
2021-06-20 03:53:22,578 epoch 57 - iter 44/226 - loss 3.86355121 - samples/sec: 16.76 - lr: 0.100000
2021-06-20 03:54:02,608 epoch 57 - iter 66/226 - loss 3.89185443 - samples/sec: 17.59 - lr: 0.100000
2021-06-20 03:54:45,673 epoch 57 - iter 88/226 - loss 3.90656990 - samples/sec: 16.35 - lr: 0.100000
2021-06-20 03:55:27,675 epoch 57 - iter 110/226 - loss 3.91231843 - samples/sec: 16.76 - lr: 0.100000
2021-06-20 03:56:07,348 epoch 57 - iter 132/226 - loss 3.95242468 - samples/sec: 17.75 - lr: 0.100000
2021-06-20 03:56:51,232 epoch 57 - iter 154/226 - loss 3.93595958 - samples/sec: 16.04 - lr: 0.100000
2021-06-20 03:57:35,485 epoch 57 - iter 176/226 - loss 3.97578432 - samples/sec: 15.91 - lr: 0.100000
2021-06-20 03:58:16,415 epoch 57 - iter 198/226 - loss 4.00966013 - samples/sec: 17.20 - lr: 0.100000
2021-06-20 03:58:58,970 epoch 57 - iter 220/226 - loss 4.02266007 - samples/sec: 16.55 - lr: 0.100000
2021-06-20 03:59:10,037 ----------------------------------------------------------------------------------------------------
2021-06-20 03:59:10,044 EPOCH 57 done: loss 4.0210 - lr 0.1000000
2021-06-20 03:59:10,046 BAD EPOCHS (no improvement): 0
2021-06-20 03:59:10,058 ----------------------------------------------------------------------------------------------------
2021-06-20 03:59:54,582 epoch 58 - iter 22/226 - loss 4.07311903 - samples/sec: 15.81 - lr: 0.100000
2021-06-20 04:00:38,478 epoch 58 - iter 44/226 - loss 3.98098398 - samples/sec: 16.04 - lr: 0.100000
2021-06-20 04:01:21,996 epoch 58 - iter 66/226 - loss 3.93112917 - samples/sec: 16.18 - lr: 0.100000
2021-06-20 04:02:06,777 epoch 58 - iter 88/226 - loss 3.97165230 - samples/sec: 15.72 - lr: 0.100000
2021-06-20 04:02:50,912 epoch 58 - iter 110/226 - loss 3.97186533 - samples/sec: 15.95 - lr: 0.100000
2021-06-20 04:03:32,113 epoch 58 - iter 132/226 - loss 3.97270610 - samples/sec: 17.09 - lr: 0.100000
2021-06-20 04:04:13,835 epoch 58 - iter 154/226 - loss 3.96036433 - samples/sec: 16.88 - lr: 0.100000
2021-06-20 04:04:55,636 epoch 58 - iter 176/226 - loss 3.96798173 - samples/sec: 16.84 - lr: 0.100000
2021-06-20 04:05:34,957 epoch 58 - iter 198/226 - loss 3.93158145 - samples/sec: 17.91 - lr: 0.100000
2021-06-20 04:06:16,658 epoch 58 - iter 220/226 - loss 3.93824210 - samples/sec: 16.88 - lr: 0.100000
2021-06-20 04:06:28,516 ----------------------------------------------------------------------------------------------------
2021-06-20 04:06:28,520 EPOCH 58 done: loss 3.9399 - lr 0.1000000
2021-06-20 04:06:28,523 BAD EPOCHS (no improvement): 0
2021-06-20 04:06:28,531 ----------------------------------------------------------------------------------------------------
2021-06-20 04:07:11,929 epoch 59 - iter 22/226 - loss 3.84114575 - samples/sec: 16.22 - lr: 0.100000
2021-06-20 04:07:53,038 epoch 59 - iter 44/226 - loss 3.85420255 - samples/sec: 17.13 - lr: 0.100000
2021-06-20 04:08:36,198 epoch 59 - iter 66/226 - loss 3.87020711 - samples/sec: 16.31 - lr: 0.100000
2021-06-20 04:09:19,053 epoch 59 - iter 88/226 - loss 3.83149299 - samples/sec: 16.43 - lr: 0.100000
2021-06-20 04:10:00,283 epoch 59 - iter 110/226 - loss 3.85293170 - samples/sec: 17.08 - lr: 0.100000
2021-06-20 04:10:43,012 epoch 59 - iter 132/226 - loss 3.89668717 - samples/sec: 16.48 - lr: 0.100000
2021-06-20 04:11:22,209 epoch 59 - iter 154/226 - loss 3.88931168 - samples/sec: 17.96 - lr: 0.100000
2021-06-20 04:12:06,148 epoch 59 - iter 176/226 - loss 3.94223202 - samples/sec: 16.02 - lr: 0.100000
2021-06-20 04:12:49,291 epoch 59 - iter 198/226 - loss 3.94698099 - samples/sec: 16.32 - lr: 0.100000
2021-06-20 04:13:30,985 epoch 59 - iter 220/226 - loss 3.94100495 - samples/sec: 16.89 - lr: 0.100000
2021-06-20 04:13:41,872 ----------------------------------------------------------------------------------------------------
2021-06-20 04:13:41,875 EPOCH 59 done: loss 3.9325 - lr 0.1000000
2021-06-20 04:13:41,878 BAD EPOCHS (no improvement): 0
2021-06-20 04:13:41,890 ----------------------------------------------------------------------------------------------------
2021-06-20 04:14:24,810 epoch 60 - iter 22/226 - loss 3.85749654 - samples/sec: 16.41 - lr: 0.100000
2021-06-20 04:15:07,688 epoch 60 - iter 44/226 - loss 3.84141086 - samples/sec: 16.42 - lr: 0.100000
2021-06-20 04:15:49,934 epoch 60 - iter 66/226 - loss 3.70673644 - samples/sec: 16.67 - lr: 0.100000
2021-06-20 04:16:33,750 epoch 60 - iter 88/226 - loss 3.73755117 - samples/sec: 16.07 - lr: 0.100000
2021-06-20 04:17:16,210 epoch 60 - iter 110/226 - loss 3.71958108 - samples/sec: 16.58 - lr: 0.100000
2021-06-20 04:18:00,597 epoch 60 - iter 132/226 - loss 3.77286102 - samples/sec: 15.86 - lr: 0.100000
2021-06-20 04:18:44,762 epoch 60 - iter 154/226 - loss 3.81803486 - samples/sec: 15.94 - lr: 0.100000
2021-06-20 04:19:26,509 epoch 60 - iter 176/226 - loss 3.86411069 - samples/sec: 16.87 - lr: 0.100000
2021-06-20 04:20:09,147 epoch 60 - iter 198/226 - loss 3.85449248 - samples/sec: 16.51 - lr: 0.100000
2021-06-20 04:20:54,241 epoch 60 - iter 220/226 - loss 3.84490664 - samples/sec: 15.61 - lr: 0.100000
2021-06-20 04:21:06,161 ----------------------------------------------------------------------------------------------------
2021-06-20 04:21:06,166 EPOCH 60 done: loss 3.8362 - lr 0.1000000
2021-06-20 04:21:06,171 BAD EPOCHS (no improvement): 0
2021-06-20 04:21:06,184 ----------------------------------------------------------------------------------------------------
2021-06-20 04:21:51,763 epoch 61 - iter 22/226 - loss 3.64519324 - samples/sec: 15.45 - lr: 0.100000
2021-06-20 04:22:32,491 epoch 61 - iter 44/226 - loss 3.69925210 - samples/sec: 17.29 - lr: 0.100000
2021-06-20 04:23:13,002 epoch 61 - iter 66/226 - loss 3.69317089 - samples/sec: 17.38 - lr: 0.100000
2021-06-20 04:23:55,396 epoch 61 - iter 88/226 - loss 3.75598561 - samples/sec: 16.61 - lr: 0.100000
2021-06-20 04:24:39,486 epoch 61 - iter 110/226 - loss 3.77192305 - samples/sec: 15.97 - lr: 0.100000
2021-06-20 04:25:21,621 epoch 61 - iter 132/226 - loss 3.79682815 - samples/sec: 16.71 - lr: 0.100000
2021-06-20 04:26:05,200 epoch 61 - iter 154/226 - loss 3.81364905 - samples/sec: 16.16 - lr: 0.100000
2021-06-20 04:26:48,420 epoch 61 - iter 176/226 - loss 3.82995287 - samples/sec: 16.29 - lr: 0.100000
2021-06-20 04:27:34,027 epoch 61 - iter 198/226 - loss 3.83710799 - samples/sec: 15.44 - lr: 0.100000
2021-06-20 04:28:15,175 epoch 61 - iter 220/226 - loss 3.83829985 - samples/sec: 17.11 - lr: 0.100000
2021-06-20 04:28:25,088 ----------------------------------------------------------------------------------------------------
2021-06-20 04:28:25,090 EPOCH 61 done: loss 3.8288 - lr 0.1000000
2021-06-20 04:28:25,097 BAD EPOCHS (no improvement): 0
2021-06-20 04:28:25,110 ----------------------------------------------------------------------------------------------------
2021-06-20 04:29:07,835 epoch 62 - iter 22/226 - loss 3.59397261 - samples/sec: 16.48 - lr: 0.100000
2021-06-20 04:29:49,806 epoch 62 - iter 44/226 - loss 3.59276811 - samples/sec: 16.78 - lr: 0.100000
2021-06-20 04:30:30,858 epoch 62 - iter 66/226 - loss 3.72688624 - samples/sec: 17.15 - lr: 0.100000
2021-06-20 04:31:15,772 epoch 62 - iter 88/226 - loss 3.75802984 - samples/sec: 15.68 - lr: 0.100000
2021-06-20 04:31:54,767 epoch 62 - iter 110/226 - loss 3.76600160 - samples/sec: 18.06 - lr: 0.100000
2021-06-20 04:32:41,524 epoch 62 - iter 132/226 - loss 3.78036337 - samples/sec: 15.06 - lr: 0.100000
2021-06-20 04:33:21,638 epoch 62 - iter 154/226 - loss 3.77614582 - samples/sec: 17.55 - lr: 0.100000
2021-06-20 04:34:04,912 epoch 62 - iter 176/226 - loss 3.76209766 - samples/sec: 16.27 - lr: 0.100000
2021-06-20 04:34:47,695 epoch 62 - iter 198/226 - loss 3.77308343 - samples/sec: 16.46 - lr: 0.100000
2021-06-20 04:35:31,150 epoch 62 - iter 220/226 - loss 3.79056591 - samples/sec: 16.20 - lr: 0.100000
2021-06-20 04:35:42,669 ----------------------------------------------------------------------------------------------------
2021-06-20 04:35:42,672 EPOCH 62 done: loss 3.7974 - lr 0.1000000
2021-06-20 04:35:42,680 BAD EPOCHS (no improvement): 0
2021-06-20 04:35:42,698 ----------------------------------------------------------------------------------------------------
2021-06-20 04:36:24,254 epoch 63 - iter 22/226 - loss 3.87341911 - samples/sec: 16.94 - lr: 0.100000
2021-06-20 04:37:08,175 epoch 63 - iter 44/226 - loss 3.80243410 - samples/sec: 16.03 - lr: 0.100000
2021-06-20 04:37:53,022 epoch 63 - iter 66/226 - loss 3.88067098 - samples/sec: 15.70 - lr: 0.100000
2021-06-20 04:38:33,825 epoch 63 - iter 88/226 - loss 3.86420074 - samples/sec: 17.26 - lr: 0.100000
2021-06-20 04:39:15,525 epoch 63 - iter 110/226 - loss 3.83300119 - samples/sec: 16.89 - lr: 0.100000
2021-06-20 04:39:57,713 epoch 63 - iter 132/226 - loss 3.84040202 - samples/sec: 16.69 - lr: 0.100000
2021-06-20 04:40:39,006 epoch 63 - iter 154/226 - loss 3.84809315 - samples/sec: 17.05 - lr: 0.100000
2021-06-20 04:41:20,225 epoch 63 - iter 176/226 - loss 3.82915504 - samples/sec: 17.08 - lr: 0.100000
2021-06-20 04:42:00,840 epoch 63 - iter 198/226 - loss 3.82109597 - samples/sec: 17.34 - lr: 0.100000
2021-06-20 04:42:45,570 epoch 63 - iter 220/226 - loss 3.79895568 - samples/sec: 15.74 - lr: 0.100000
2021-06-20 04:42:56,918 ----------------------------------------------------------------------------------------------------
2021-06-20 04:42:56,924 EPOCH 63 done: loss 3.8007 - lr 0.1000000
2021-06-20 04:42:56,926 BAD EPOCHS (no improvement): 1
2021-06-20 04:42:56,935 ----------------------------------------------------------------------------------------------------
2021-06-20 04:43:38,435 epoch 64 - iter 22/226 - loss 3.67125939 - samples/sec: 16.97 - lr: 0.100000
2021-06-20 04:44:19,848 epoch 64 - iter 44/226 - loss 3.59030868 - samples/sec: 17.00 - lr: 0.100000
2021-06-20 04:45:02,048 epoch 64 - iter 66/226 - loss 3.74983358 - samples/sec: 16.68 - lr: 0.100000
2021-06-20 04:45:42,796 epoch 64 - iter 88/226 - loss 3.74931619 - samples/sec: 17.28 - lr: 0.100000
2021-06-20 04:46:23,673 epoch 64 - iter 110/226 - loss 3.69081260 - samples/sec: 17.22 - lr: 0.100000
2021-06-20 04:47:04,649 epoch 64 - iter 132/226 - loss 3.71015299 - samples/sec: 17.18 - lr: 0.100000
2021-06-20 04:47:47,780 epoch 64 - iter 154/226 - loss 3.72000501 - samples/sec: 16.32 - lr: 0.100000
2021-06-20 04:48:32,152 epoch 64 - iter 176/226 - loss 3.79164582 - samples/sec: 15.87 - lr: 0.100000
2021-06-20 04:49:14,926 epoch 64 - iter 198/226 - loss 3.79355546 - samples/sec: 16.46 - lr: 0.100000
2021-06-20 04:49:59,072 epoch 64 - iter 220/226 - loss 3.78302050 - samples/sec: 15.95 - lr: 0.100000
2021-06-20 04:50:12,440 ----------------------------------------------------------------------------------------------------
2021-06-20 04:50:12,445 EPOCH 64 done: loss 3.7942 - lr 0.1000000
2021-06-20 04:50:12,448 BAD EPOCHS (no improvement): 0
2021-06-20 04:50:12,455 ----------------------------------------------------------------------------------------------------
2021-06-20 04:50:54,938 epoch 65 - iter 22/226 - loss 3.69001908 - samples/sec: 16.57 - lr: 0.100000
2021-06-20 04:51:35,615 epoch 65 - iter 44/226 - loss 3.71274941 - samples/sec: 17.31 - lr: 0.100000
2021-06-20 04:52:18,218 epoch 65 - iter 66/226 - loss 3.62239936 - samples/sec: 16.53 - lr: 0.100000
2021-06-20 04:52:59,781 epoch 65 - iter 88/226 - loss 3.67854440 - samples/sec: 16.94 - lr: 0.100000
2021-06-20 04:53:42,836 epoch 65 - iter 110/226 - loss 3.64180630 - samples/sec: 16.35 - lr: 0.100000
2021-06-20 04:54:24,012 epoch 65 - iter 132/226 - loss 3.68573967 - samples/sec: 17.10 - lr: 0.100000
2021-06-20 04:55:09,112 epoch 65 - iter 154/226 - loss 3.68612290 - samples/sec: 15.61 - lr: 0.100000
2021-06-20 04:55:49,731 epoch 65 - iter 176/226 - loss 3.68915452 - samples/sec: 17.33 - lr: 0.100000
2021-06-20 04:56:34,695 epoch 65 - iter 198/226 - loss 3.70045566 - samples/sec: 15.66 - lr: 0.100000
2021-06-20 04:57:15,719 epoch 65 - iter 220/226 - loss 3.70408601 - samples/sec: 17.17 - lr: 0.100000
2021-06-20 04:57:29,457 ----------------------------------------------------------------------------------------------------
2021-06-20 04:57:29,459 EPOCH 65 done: loss 3.7053 - lr 0.1000000
2021-06-20 04:57:29,462 BAD EPOCHS (no improvement): 0
2021-06-20 04:57:29,472 ----------------------------------------------------------------------------------------------------
2021-06-20 04:58:11,333 epoch 66 - iter 22/226 - loss 3.52313740 - samples/sec: 16.82 - lr: 0.100000
2021-06-20 04:58:56,668 epoch 66 - iter 44/226 - loss 3.71296173 - samples/sec: 15.53 - lr: 0.100000
2021-06-20 04:59:38,300 epoch 66 - iter 66/226 - loss 3.76514000 - samples/sec: 16.91 - lr: 0.100000
2021-06-20 05:00:17,004 epoch 66 - iter 88/226 - loss 3.73937757 - samples/sec: 18.19 - lr: 0.100000
2021-06-20 05:00:59,739 epoch 66 - iter 110/226 - loss 3.69064931 - samples/sec: 16.48 - lr: 0.100000
2021-06-20 05:01:40,290 epoch 66 - iter 132/226 - loss 3.68962275 - samples/sec: 17.36 - lr: 0.100000
2021-06-20 05:02:23,969 epoch 66 - iter 154/226 - loss 3.66452030 - samples/sec: 16.12 - lr: 0.100000
2021-06-20 05:03:10,120 epoch 66 - iter 176/226 - loss 3.71059250 - samples/sec: 15.26 - lr: 0.100000
2021-06-20 05:03:54,338 epoch 66 - iter 198/226 - loss 3.68177023 - samples/sec: 15.92 - lr: 0.100000
2021-06-20 05:04:37,625 epoch 66 - iter 220/226 - loss 3.68860872 - samples/sec: 16.27 - lr: 0.100000
2021-06-20 05:04:48,103 ----------------------------------------------------------------------------------------------------
2021-06-20 05:04:48,106 EPOCH 66 done: loss 3.6901 - lr 0.1000000
2021-06-20 05:04:48,110 BAD EPOCHS (no improvement): 0
2021-06-20 05:04:48,122 ----------------------------------------------------------------------------------------------------
2021-06-20 05:05:29,867 epoch 67 - iter 22/226 - loss 3.67082827 - samples/sec: 16.87 - lr: 0.100000
2021-06-20 05:06:12,367 epoch 67 - iter 44/226 - loss 3.60384748 - samples/sec: 16.57 - lr: 0.100000
2021-06-20 05:06:58,034 epoch 67 - iter 66/226 - loss 3.60205237 - samples/sec: 15.42 - lr: 0.100000
2021-06-20 05:07:42,381 epoch 67 - iter 88/226 - loss 3.59027840 - samples/sec: 15.88 - lr: 0.100000
2021-06-20 05:08:23,433 epoch 67 - iter 110/226 - loss 3.63674289 - samples/sec: 17.15 - lr: 0.100000
2021-06-20 05:09:01,580 epoch 67 - iter 132/226 - loss 3.62012424 - samples/sec: 18.46 - lr: 0.100000
2021-06-20 05:09:40,807 epoch 67 - iter 154/226 - loss 3.62960138 - samples/sec: 17.95 - lr: 0.100000
2021-06-20 05:10:21,268 epoch 67 - iter 176/226 - loss 3.64070981 - samples/sec: 17.40 - lr: 0.100000
2021-06-20 05:11:00,724 epoch 67 - iter 198/226 - loss 3.64332304 - samples/sec: 17.84 - lr: 0.100000
2021-06-20 05:11:42,185 epoch 67 - iter 220/226 - loss 3.64109345 - samples/sec: 16.98 - lr: 0.100000
2021-06-20 05:11:53,537 ----------------------------------------------------------------------------------------------------
2021-06-20 05:11:53,541 EPOCH 67 done: loss 3.6384 - lr 0.1000000
2021-06-20 05:11:53,546 BAD EPOCHS (no improvement): 0
2021-06-20 05:11:53,553 ----------------------------------------------------------------------------------------------------
2021-06-20 05:12:36,929 epoch 68 - iter 22/226 - loss 3.25550153 - samples/sec: 16.23 - lr: 0.100000
2021-06-20 05:13:23,348 epoch 68 - iter 44/226 - loss 3.49604796 - samples/sec: 15.17 - lr: 0.100000
2021-06-20 05:14:04,523 epoch 68 - iter 66/226 - loss 3.42852479 - samples/sec: 17.10 - lr: 0.100000
2021-06-20 05:14:45,082 epoch 68 - iter 88/226 - loss 3.43340451 - samples/sec: 17.36 - lr: 0.100000
2021-06-20 05:15:25,381 epoch 68 - iter 110/226 - loss 3.40834524 - samples/sec: 17.47 - lr: 0.100000
2021-06-20 05:16:10,335 epoch 68 - iter 132/226 - loss 3.47594642 - samples/sec: 15.66 - lr: 0.100000
2021-06-20 05:16:54,411 epoch 68 - iter 154/226 - loss 3.52983521 - samples/sec: 15.97 - lr: 0.100000
2021-06-20 05:17:33,909 epoch 68 - iter 176/226 - loss 3.55580209 - samples/sec: 17.83 - lr: 0.100000
2021-06-20 05:18:18,229 epoch 68 - iter 198/226 - loss 3.61028229 - samples/sec: 15.89 - lr: 0.100000
2021-06-20 05:18:58,606 epoch 68 - iter 220/226 - loss 3.62433862 - samples/sec: 17.44 - lr: 0.100000
2021-06-20 05:19:08,533 ----------------------------------------------------------------------------------------------------
2021-06-20 05:19:08,535 EPOCH 68 done: loss 3.6280 - lr 0.1000000
2021-06-20 05:19:08,538 BAD EPOCHS (no improvement): 0
2021-06-20 05:19:08,548 ----------------------------------------------------------------------------------------------------
2021-06-20 05:19:48,833 epoch 69 - iter 22/226 - loss 3.55448417 - samples/sec: 17.48 - lr: 0.100000
2021-06-20 05:20:33,343 epoch 69 - iter 44/226 - loss 3.58192765 - samples/sec: 15.82 - lr: 0.100000
2021-06-20 05:21:15,090 epoch 69 - iter 66/226 - loss 3.52970044 - samples/sec: 16.87 - lr: 0.100000
2021-06-20 05:21:56,320 epoch 69 - iter 88/226 - loss 3.54884000 - samples/sec: 17.08 - lr: 0.100000
2021-06-20 05:22:37,916 epoch 69 - iter 110/226 - loss 3.52028700 - samples/sec: 16.93 - lr: 0.100000
2021-06-20 05:23:20,748 epoch 69 - iter 132/226 - loss 3.56002951 - samples/sec: 16.44 - lr: 0.100000
2021-06-20 05:24:03,595 epoch 69 - iter 154/226 - loss 3.58823728 - samples/sec: 16.43 - lr: 0.100000
2021-06-20 05:24:45,431 epoch 69 - iter 176/226 - loss 3.59758576 - samples/sec: 16.83 - lr: 0.100000
2021-06-20 05:25:26,391 epoch 69 - iter 198/226 - loss 3.60306191 - samples/sec: 17.19 - lr: 0.100000
2021-06-20 05:26:10,539 epoch 69 - iter 220/226 - loss 3.63383209 - samples/sec: 15.95 - lr: 0.100000
2021-06-20 05:26:21,241 ----------------------------------------------------------------------------------------------------
2021-06-20 05:26:21,243 EPOCH 69 done: loss 3.6387 - lr 0.1000000
2021-06-20 05:26:21,251 BAD EPOCHS (no improvement): 1
2021-06-20 05:26:21,262 ----------------------------------------------------------------------------------------------------
2021-06-20 05:27:04,425 epoch 70 - iter 22/226 - loss 3.40862811 - samples/sec: 16.31 - lr: 0.100000
2021-06-20 05:27:47,911 epoch 70 - iter 44/226 - loss 3.50066991 - samples/sec: 16.19 - lr: 0.100000
2021-06-20 05:28:30,733 epoch 70 - iter 66/226 - loss 3.47649829 - samples/sec: 16.44 - lr: 0.100000
2021-06-20 05:29:13,044 epoch 70 - iter 88/226 - loss 3.47230045 - samples/sec: 16.64 - lr: 0.100000
2021-06-20 05:29:54,379 epoch 70 - iter 110/226 - loss 3.49376871 - samples/sec: 17.03 - lr: 0.100000
2021-06-20 05:30:35,057 epoch 70 - iter 132/226 - loss 3.48724576 - samples/sec: 17.31 - lr: 0.100000
2021-06-20 05:31:16,101 epoch 70 - iter 154/226 - loss 3.49324622 - samples/sec: 17.15 - lr: 0.100000
2021-06-20 05:31:56,887 epoch 70 - iter 176/226 - loss 3.53387702 - samples/sec: 17.26 - lr: 0.100000
2021-06-20 05:32:40,556 epoch 70 - iter 198/226 - loss 3.52859371 - samples/sec: 16.12 - lr: 0.100000
2021-06-20 05:33:22,689 epoch 70 - iter 220/226 - loss 3.51923354 - samples/sec: 16.71 - lr: 0.100000
2021-06-20 05:33:33,062 ----------------------------------------------------------------------------------------------------
2021-06-20 05:33:33,065 EPOCH 70 done: loss 3.5168 - lr 0.1000000
2021-06-20 05:33:33,069 BAD EPOCHS (no improvement): 0
2021-06-20 05:33:33,082 ----------------------------------------------------------------------------------------------------
2021-06-20 05:34:14,332 epoch 71 - iter 22/226 - loss 3.24338901 - samples/sec: 17.07 - lr: 0.100000
2021-06-20 05:34:57,010 epoch 71 - iter 44/226 - loss 3.31663163 - samples/sec: 16.50 - lr: 0.100000
2021-06-20 05:35:38,084 epoch 71 - iter 66/226 - loss 3.37573646 - samples/sec: 17.14 - lr: 0.100000
2021-06-20 05:36:19,872 epoch 71 - iter 88/226 - loss 3.41508674 - samples/sec: 16.85 - lr: 0.100000
2021-06-20 05:37:02,055 epoch 71 - iter 110/226 - loss 3.37446808 - samples/sec: 16.69 - lr: 0.100000
2021-06-20 05:37:45,881 epoch 71 - iter 132/226 - loss 3.37959575 - samples/sec: 16.07 - lr: 0.100000
2021-06-20 05:38:26,200 epoch 71 - iter 154/226 - loss 3.41605515 - samples/sec: 17.46 - lr: 0.100000
2021-06-20 05:39:09,096 epoch 71 - iter 176/226 - loss 3.43677624 - samples/sec: 16.41 - lr: 0.100000
2021-06-20 05:39:51,105 epoch 71 - iter 198/226 - loss 3.45327187 - samples/sec: 16.76 - lr: 0.100000
2021-06-20 05:40:35,054 epoch 71 - iter 220/226 - loss 3.47993517 - samples/sec: 16.02 - lr: 0.100000
2021-06-20 05:40:46,052 ----------------------------------------------------------------------------------------------------
2021-06-20 05:40:46,053 EPOCH 71 done: loss 3.4812 - lr 0.1000000
2021-06-20 05:40:46,063 BAD EPOCHS (no improvement): 0
2021-06-20 05:40:46,075 ----------------------------------------------------------------------------------------------------
2021-06-20 05:41:27,260 epoch 72 - iter 22/226 - loss 3.37856878 - samples/sec: 17.10 - lr: 0.100000
2021-06-20 05:42:10,229 epoch 72 - iter 44/226 - loss 3.46540682 - samples/sec: 16.39 - lr: 0.100000
2021-06-20 05:42:53,245 epoch 72 - iter 66/226 - loss 3.42033634 - samples/sec: 16.37 - lr: 0.100000
2021-06-20 05:43:33,657 epoch 72 - iter 88/226 - loss 3.42496946 - samples/sec: 17.42 - lr: 0.100000
2021-06-20 05:44:15,766 epoch 72 - iter 110/226 - loss 3.45185122 - samples/sec: 16.72 - lr: 0.100000
2021-06-20 05:44:57,506 epoch 72 - iter 132/226 - loss 3.43641149 - samples/sec: 16.87 - lr: 0.100000
2021-06-20 05:45:42,828 epoch 72 - iter 154/226 - loss 3.42572231 - samples/sec: 15.54 - lr: 0.100000
2021-06-20 05:46:25,115 epoch 72 - iter 176/226 - loss 3.44585468 - samples/sec: 16.65 - lr: 0.100000
2021-06-20 05:47:06,116 epoch 72 - iter 198/226 - loss 3.45768236 - samples/sec: 17.17 - lr: 0.100000
2021-06-20 05:47:48,160 epoch 72 - iter 220/226 - loss 3.44988720 - samples/sec: 16.75 - lr: 0.100000
2021-06-20 05:47:58,963 ----------------------------------------------------------------------------------------------------
2021-06-20 05:47:58,966 EPOCH 72 done: loss 3.4465 - lr 0.1000000
2021-06-20 05:47:58,971 BAD EPOCHS (no improvement): 0
2021-06-20 05:47:58,980 ----------------------------------------------------------------------------------------------------
2021-06-20 05:48:41,909 epoch 73 - iter 22/226 - loss 3.26277652 - samples/sec: 16.40 - lr: 0.100000
2021-06-20 05:49:24,404 epoch 73 - iter 44/226 - loss 3.41919297 - samples/sec: 16.57 - lr: 0.100000
2021-06-20 05:50:06,642 epoch 73 - iter 66/226 - loss 3.47021312 - samples/sec: 16.67 - lr: 0.100000
2021-06-20 05:50:47,172 epoch 73 - iter 88/226 - loss 3.46648896 - samples/sec: 17.37 - lr: 0.100000
2021-06-20 05:51:29,736 epoch 73 - iter 110/226 - loss 3.41895801 - samples/sec: 16.54 - lr: 0.100000
2021-06-20 05:52:14,880 epoch 73 - iter 132/226 - loss 3.42768627 - samples/sec: 15.60 - lr: 0.100000
2021-06-20 05:52:58,193 epoch 73 - iter 154/226 - loss 3.42288875 - samples/sec: 16.26 - lr: 0.100000
2021-06-20 05:53:43,986 epoch 73 - iter 176/226 - loss 3.44012484 - samples/sec: 15.38 - lr: 0.100000
2021-06-20 05:54:26,111 epoch 73 - iter 198/226 - loss 3.43963661 - samples/sec: 16.71 - lr: 0.100000
2021-06-20 05:55:09,828 epoch 73 - iter 220/226 - loss 3.45519282 - samples/sec: 16.11 - lr: 0.100000
2021-06-20 05:55:21,533 ----------------------------------------------------------------------------------------------------
2021-06-20 05:55:21,537 EPOCH 73 done: loss 3.4808 - lr 0.1000000
2021-06-20 05:55:21,540 BAD EPOCHS (no improvement): 1
2021-06-20 05:55:21,551 ----------------------------------------------------------------------------------------------------
2021-06-20 05:56:04,109 epoch 74 - iter 22/226 - loss 3.24431929 - samples/sec: 16.54 - lr: 0.100000
2021-06-20 05:56:45,143 epoch 74 - iter 44/226 - loss 3.23217473 - samples/sec: 17.16 - lr: 0.100000
2021-06-20 05:57:28,525 epoch 74 - iter 66/226 - loss 3.27637478 - samples/sec: 16.23 - lr: 0.100000
2021-06-20 05:58:10,240 epoch 74 - iter 88/226 - loss 3.23895609 - samples/sec: 16.88 - lr: 0.100000
2021-06-20 05:58:52,960 epoch 74 - iter 110/226 - loss 3.29558837 - samples/sec: 16.48 - lr: 0.100000
2021-06-20 05:59:36,280 epoch 74 - iter 132/226 - loss 3.35082140 - samples/sec: 16.25 - lr: 0.100000
2021-06-20 06:00:17,388 epoch 74 - iter 154/226 - loss 3.34286772 - samples/sec: 17.13 - lr: 0.100000
2021-06-20 06:00:57,976 epoch 74 - iter 176/226 - loss 3.32175331 - samples/sec: 17.35 - lr: 0.100000
2021-06-20 06:01:43,805 epoch 74 - iter 198/226 - loss 3.33113137 - samples/sec: 15.36 - lr: 0.100000
2021-06-20 06:02:23,688 epoch 74 - iter 220/226 - loss 3.35395692 - samples/sec: 17.65 - lr: 0.100000
2021-06-20 06:02:35,945 ----------------------------------------------------------------------------------------------------
2021-06-20 06:02:35,948 EPOCH 74 done: loss 3.3845 - lr 0.1000000
2021-06-20 06:02:35,951 BAD EPOCHS (no improvement): 0
2021-06-20 06:02:35,962 ----------------------------------------------------------------------------------------------------
2021-06-20 06:03:22,886 epoch 75 - iter 22/226 - loss 3.27105414 - samples/sec: 15.01 - lr: 0.100000
2021-06-20 06:04:06,682 epoch 75 - iter 44/226 - loss 3.47703566 - samples/sec: 16.08 - lr: 0.100000
2021-06-20 06:04:51,126 epoch 75 - iter 66/226 - loss 3.38599076 - samples/sec: 15.84 - lr: 0.100000
2021-06-20 06:05:31,983 epoch 75 - iter 88/226 - loss 3.34404019 - samples/sec: 17.23 - lr: 0.100000
2021-06-20 06:06:15,959 epoch 75 - iter 110/226 - loss 3.36902849 - samples/sec: 16.01 - lr: 0.100000
2021-06-20 06:06:59,933 epoch 75 - iter 132/226 - loss 3.37021576 - samples/sec: 16.01 - lr: 0.100000
2021-06-20 06:07:38,379 epoch 75 - iter 154/226 - loss 3.35027591 - samples/sec: 18.31 - lr: 0.100000
2021-06-20 06:08:21,903 epoch 75 - iter 176/226 - loss 3.34201901 - samples/sec: 16.18 - lr: 0.100000
2021-06-20 06:09:07,282 epoch 75 - iter 198/226 - loss 3.30943841 - samples/sec: 15.52 - lr: 0.100000
2021-06-20 06:09:48,072 epoch 75 - iter 220/226 - loss 3.33301015 - samples/sec: 17.26 - lr: 0.100000
2021-06-20 06:09:57,689 ----------------------------------------------------------------------------------------------------
2021-06-20 06:09:57,692 EPOCH 75 done: loss 3.3335 - lr 0.1000000
2021-06-20 06:09:57,698 BAD EPOCHS (no improvement): 0
2021-06-20 06:09:57,707 ----------------------------------------------------------------------------------------------------
2021-06-20 06:10:41,083 epoch 76 - iter 22/226 - loss 3.19523420 - samples/sec: 16.23 - lr: 0.100000
2021-06-20 06:11:22,754 epoch 76 - iter 44/226 - loss 3.26786955 - samples/sec: 16.90 - lr: 0.100000
2021-06-20 06:12:04,530 epoch 76 - iter 66/226 - loss 3.30834861 - samples/sec: 16.85 - lr: 0.100000
2021-06-20 06:12:46,694 epoch 76 - iter 88/226 - loss 3.37723230 - samples/sec: 16.70 - lr: 0.100000
2021-06-20 06:13:30,095 epoch 76 - iter 110/226 - loss 3.44355901 - samples/sec: 16.22 - lr: 0.100000
2021-06-20 06:14:14,593 epoch 76 - iter 132/226 - loss 3.40719216 - samples/sec: 15.82 - lr: 0.100000
2021-06-20 06:15:02,299 epoch 76 - iter 154/226 - loss 3.39714773 - samples/sec: 14.76 - lr: 0.100000
2021-06-20 06:15:45,743 epoch 76 - iter 176/226 - loss 3.37655707 - samples/sec: 16.21 - lr: 0.100000
2021-06-20 06:16:27,063 epoch 76 - iter 198/226 - loss 3.38363010 - samples/sec: 17.04 - lr: 0.100000
2021-06-20 06:17:10,946 epoch 76 - iter 220/226 - loss 3.40154650 - samples/sec: 16.04 - lr: 0.100000
2021-06-20 06:17:22,865 ----------------------------------------------------------------------------------------------------
2021-06-20 06:17:22,868 EPOCH 76 done: loss 3.4015 - lr 0.1000000
2021-06-20 06:17:22,871 BAD EPOCHS (no improvement): 1
2021-06-20 06:17:22,885 ----------------------------------------------------------------------------------------------------
2021-06-20 06:18:04,941 epoch 77 - iter 22/226 - loss 3.23243267 - samples/sec: 16.74 - lr: 0.100000
2021-06-20 06:18:48,654 epoch 77 - iter 44/226 - loss 3.36998899 - samples/sec: 16.11 - lr: 0.100000
2021-06-20 06:19:32,900 epoch 77 - iter 66/226 - loss 3.27418667 - samples/sec: 15.91 - lr: 0.100000
2021-06-20 06:20:14,661 epoch 77 - iter 88/226 - loss 3.30651304 - samples/sec: 16.86 - lr: 0.100000
2021-06-20 06:20:58,304 epoch 77 - iter 110/226 - loss 3.29699338 - samples/sec: 16.13 - lr: 0.100000
2021-06-20 06:21:44,474 epoch 77 - iter 132/226 - loss 3.31612943 - samples/sec: 15.25 - lr: 0.100000
2021-06-20 06:22:27,836 epoch 77 - iter 154/226 - loss 3.34259668 - samples/sec: 16.24 - lr: 0.100000
2021-06-20 06:23:11,581 epoch 77 - iter 176/226 - loss 3.33844598 - samples/sec: 16.10 - lr: 0.100000
2021-06-20 06:23:54,699 epoch 77 - iter 198/226 - loss 3.33633872 - samples/sec: 16.33 - lr: 0.100000
2021-06-20 06:24:36,161 epoch 77 - iter 220/226 - loss 3.32131775 - samples/sec: 16.98 - lr: 0.100000
2021-06-20 06:24:47,629 ----------------------------------------------------------------------------------------------------
2021-06-20 06:24:47,632 EPOCH 77 done: loss 3.3195 - lr 0.1000000
2021-06-20 06:24:47,636 BAD EPOCHS (no improvement): 0
2021-06-20 06:24:47,651 ----------------------------------------------------------------------------------------------------
2021-06-20 06:25:29,107 epoch 78 - iter 22/226 - loss 3.16813375 - samples/sec: 16.99 - lr: 0.100000
2021-06-20 06:26:10,699 epoch 78 - iter 44/226 - loss 3.26892544 - samples/sec: 16.93 - lr: 0.100000
2021-06-20 06:26:56,234 epoch 78 - iter 66/226 - loss 3.29095893 - samples/sec: 15.46 - lr: 0.100000
2021-06-20 06:27:37,105 epoch 78 - iter 88/226 - loss 3.24079837 - samples/sec: 17.23 - lr: 0.100000
2021-06-20 06:28:20,773 epoch 78 - iter 110/226 - loss 3.23676499 - samples/sec: 16.12 - lr: 0.100000
2021-06-20 06:29:04,466 epoch 78 - iter 132/226 - loss 3.23938129 - samples/sec: 16.12 - lr: 0.100000
2021-06-20 06:29:46,251 epoch 78 - iter 154/226 - loss 3.24388610 - samples/sec: 16.85 - lr: 0.100000
2021-06-20 06:30:30,631 epoch 78 - iter 176/226 - loss 3.26552766 - samples/sec: 15.87 - lr: 0.100000
2021-06-20 06:31:14,808 epoch 78 - iter 198/226 - loss 3.26294612 - samples/sec: 15.94 - lr: 0.100000
2021-06-20 06:31:57,559 epoch 78 - iter 220/226 - loss 3.28532571 - samples/sec: 16.47 - lr: 0.100000
2021-06-20 06:32:09,118 ----------------------------------------------------------------------------------------------------
2021-06-20 06:32:09,123 EPOCH 78 done: loss 3.3088 - lr 0.1000000
2021-06-20 06:32:09,126 BAD EPOCHS (no improvement): 0
2021-06-20 06:32:09,138 ----------------------------------------------------------------------------------------------------
2021-06-20 06:32:51,495 epoch 79 - iter 22/226 - loss 3.05776180 - samples/sec: 16.62 - lr: 0.100000
2021-06-20 06:33:34,493 epoch 79 - iter 44/226 - loss 3.09949575 - samples/sec: 16.37 - lr: 0.100000
2021-06-20 06:34:21,583 epoch 79 - iter 66/226 - loss 3.15505168 - samples/sec: 14.95 - lr: 0.100000
2021-06-20 06:35:04,143 epoch 79 - iter 88/226 - loss 3.20135838 - samples/sec: 16.54 - lr: 0.100000
2021-06-20 06:35:46,325 epoch 79 - iter 110/226 - loss 3.16693892 - samples/sec: 16.69 - lr: 0.100000
2021-06-20 06:36:24,587 epoch 79 - iter 132/226 - loss 3.16782349 - samples/sec: 18.40 - lr: 0.100000
2021-06-20 06:37:07,311 epoch 79 - iter 154/226 - loss 3.16640431 - samples/sec: 16.48 - lr: 0.100000
2021-06-20 06:37:52,077 epoch 79 - iter 176/226 - loss 3.13920393 - samples/sec: 15.73 - lr: 0.100000
2021-06-20 06:38:35,369 epoch 79 - iter 198/226 - loss 3.13776638 - samples/sec: 16.26 - lr: 0.100000
2021-06-20 06:39:17,021 epoch 79 - iter 220/226 - loss 3.14642174 - samples/sec: 16.91 - lr: 0.100000
2021-06-20 06:39:28,820 ----------------------------------------------------------------------------------------------------
2021-06-20 06:39:28,822 EPOCH 79 done: loss 3.1512 - lr 0.1000000
2021-06-20 06:39:28,828 BAD EPOCHS (no improvement): 0
2021-06-20 06:39:28,836 ----------------------------------------------------------------------------------------------------
2021-06-20 06:40:13,693 epoch 80 - iter 22/226 - loss 3.47936434 - samples/sec: 15.70 - lr: 0.100000
2021-06-20 06:40:56,931 epoch 80 - iter 44/226 - loss 3.25509750 - samples/sec: 16.28 - lr: 0.100000
2021-06-20 06:41:41,483 epoch 80 - iter 66/226 - loss 3.23941880 - samples/sec: 15.80 - lr: 0.100000
2021-06-20 06:42:22,492 epoch 80 - iter 88/226 - loss 3.14665577 - samples/sec: 17.17 - lr: 0.100000
2021-06-20 06:43:04,605 epoch 80 - iter 110/226 - loss 3.15762873 - samples/sec: 16.72 - lr: 0.100000
2021-06-20 06:43:45,447 epoch 80 - iter 132/226 - loss 3.18249319 - samples/sec: 17.24 - lr: 0.100000
2021-06-20 06:44:28,429 epoch 80 - iter 154/226 - loss 3.18801150 - samples/sec: 16.38 - lr: 0.100000
2021-06-20 06:45:09,588 epoch 80 - iter 176/226 - loss 3.21394861 - samples/sec: 17.11 - lr: 0.100000
2021-06-20 06:45:53,233 epoch 80 - iter 198/226 - loss 3.22520865 - samples/sec: 16.13 - lr: 0.100000
2021-06-20 06:46:34,833 epoch 80 - iter 220/226 - loss 3.24409577 - samples/sec: 16.93 - lr: 0.100000
2021-06-20 06:46:45,833 ----------------------------------------------------------------------------------------------------
2021-06-20 06:46:45,836 EPOCH 80 done: loss 3.2499 - lr 0.1000000
2021-06-20 06:46:45,839 BAD EPOCHS (no improvement): 1
2021-06-20 06:46:45,849 ----------------------------------------------------------------------------------------------------
2021-06-20 06:47:30,558 epoch 81 - iter 22/226 - loss 3.14042297 - samples/sec: 15.75 - lr: 0.100000
2021-06-20 06:48:13,581 epoch 81 - iter 44/226 - loss 3.15417742 - samples/sec: 16.37 - lr: 0.100000
2021-06-20 06:48:54,118 epoch 81 - iter 66/226 - loss 3.06295886 - samples/sec: 17.37 - lr: 0.100000
2021-06-20 06:49:37,204 epoch 81 - iter 88/226 - loss 3.10942378 - samples/sec: 16.34 - lr: 0.100000
2021-06-20 06:50:16,333 epoch 81 - iter 110/226 - loss 3.14030296 - samples/sec: 17.99 - lr: 0.100000
2021-06-20 06:50:59,378 epoch 81 - iter 132/226 - loss 3.17106013 - samples/sec: 16.36 - lr: 0.100000
2021-06-20 06:51:43,036 epoch 81 - iter 154/226 - loss 3.20864455 - samples/sec: 16.13 - lr: 0.100000
2021-06-20 06:52:27,322 epoch 81 - iter 176/226 - loss 3.22869559 - samples/sec: 15.90 - lr: 0.100000
2021-06-20 06:53:09,875 epoch 81 - iter 198/226 - loss 3.22858429 - samples/sec: 16.55 - lr: 0.100000
2021-06-20 06:53:52,883 epoch 81 - iter 220/226 - loss 3.22745342 - samples/sec: 16.37 - lr: 0.100000
2021-06-20 06:54:03,172 ----------------------------------------------------------------------------------------------------
2021-06-20 06:54:03,176 EPOCH 81 done: loss 3.2332 - lr 0.1000000
2021-06-20 06:54:03,184 BAD EPOCHS (no improvement): 2
2021-06-20 06:54:03,196 ----------------------------------------------------------------------------------------------------
2021-06-20 06:54:43,951 epoch 82 - iter 22/226 - loss 3.04846859 - samples/sec: 17.28 - lr: 0.100000
2021-06-20 06:55:27,873 epoch 82 - iter 44/226 - loss 3.21007877 - samples/sec: 16.03 - lr: 0.100000
2021-06-20 06:56:11,748 epoch 82 - iter 66/226 - loss 3.24895159 - samples/sec: 16.05 - lr: 0.100000
2021-06-20 06:56:53,062 epoch 82 - iter 88/226 - loss 3.24995598 - samples/sec: 17.04 - lr: 0.100000
2021-06-20 06:57:36,493 epoch 82 - iter 110/226 - loss 3.21955306 - samples/sec: 16.21 - lr: 0.100000
2021-06-20 06:58:18,213 epoch 82 - iter 132/226 - loss 3.20289214 - samples/sec: 16.88 - lr: 0.100000
2021-06-20 06:59:01,885 epoch 82 - iter 154/226 - loss 3.17447208 - samples/sec: 16.12 - lr: 0.100000
2021-06-20 06:59:44,418 epoch 82 - iter 176/226 - loss 3.20380767 - samples/sec: 16.55 - lr: 0.100000
2021-06-20 07:00:25,579 epoch 82 - iter 198/226 - loss 3.22432882 - samples/sec: 17.11 - lr: 0.100000
2021-06-20 07:01:08,012 epoch 82 - iter 220/226 - loss 3.22281231 - samples/sec: 16.59 - lr: 0.100000
2021-06-20 07:01:19,292 ----------------------------------------------------------------------------------------------------
2021-06-20 07:01:19,295 EPOCH 82 done: loss 3.2281 - lr 0.1000000
2021-06-20 07:01:19,299 BAD EPOCHS (no improvement): 3
2021-06-20 07:01:19,309 ----------------------------------------------------------------------------------------------------
2021-06-20 07:02:00,819 epoch 83 - iter 22/226 - loss 3.00588666 - samples/sec: 16.96 - lr: 0.100000
2021-06-20 07:02:40,238 epoch 83 - iter 44/226 - loss 3.05258910 - samples/sec: 17.86 - lr: 0.100000
2021-06-20 07:03:25,174 epoch 83 - iter 66/226 - loss 3.15541349 - samples/sec: 15.67 - lr: 0.100000
2021-06-20 07:04:07,953 epoch 83 - iter 88/226 - loss 3.11987159 - samples/sec: 16.46 - lr: 0.100000
2021-06-20 07:04:48,555 epoch 83 - iter 110/226 - loss 3.15600180 - samples/sec: 17.34 - lr: 0.100000
2021-06-20 07:05:34,397 epoch 83 - iter 132/226 - loss 3.21130529 - samples/sec: 15.36 - lr: 0.100000
2021-06-20 07:06:16,081 epoch 83 - iter 154/226 - loss 3.22477581 - samples/sec: 16.89 - lr: 0.100000
2021-06-20 07:07:00,125 epoch 83 - iter 176/226 - loss 3.21318607 - samples/sec: 15.99 - lr: 0.100000
2021-06-20 07:07:42,384 epoch 83 - iter 198/226 - loss 3.19455697 - samples/sec: 16.66 - lr: 0.100000
2021-06-20 07:08:24,718 epoch 83 - iter 220/226 - loss 3.19258975 - samples/sec: 16.63 - lr: 0.100000
2021-06-20 07:08:36,479 ----------------------------------------------------------------------------------------------------
2021-06-20 07:08:36,482 EPOCH 83 done: loss 3.1868 - lr 0.1000000
2021-06-20 07:08:36,488 BAD EPOCHS (no improvement): 4
2021-06-20 07:08:36,496 ----------------------------------------------------------------------------------------------------
2021-06-20 07:09:18,862 epoch 84 - iter 22/226 - loss 3.02113570 - samples/sec: 16.62 - lr: 0.050000
2021-06-20 07:10:00,456 epoch 84 - iter 44/226 - loss 3.08289420 - samples/sec: 16.93 - lr: 0.050000
2021-06-20 07:10:42,622 epoch 84 - iter 66/226 - loss 2.97104935 - samples/sec: 16.70 - lr: 0.050000
2021-06-20 07:11:23,510 epoch 84 - iter 88/226 - loss 2.99315360 - samples/sec: 17.22 - lr: 0.050000
2021-06-20 07:12:08,080 epoch 84 - iter 110/226 - loss 3.00861904 - samples/sec: 15.80 - lr: 0.050000
2021-06-20 07:12:52,132 epoch 84 - iter 132/226 - loss 2.99387131 - samples/sec: 15.98 - lr: 0.050000
2021-06-20 07:13:34,346 epoch 84 - iter 154/226 - loss 3.01949225 - samples/sec: 16.68 - lr: 0.050000
2021-06-20 07:14:15,426 epoch 84 - iter 176/226 - loss 3.02933683 - samples/sec: 17.14 - lr: 0.050000
2021-06-20 07:14:56,005 epoch 84 - iter 198/226 - loss 3.01627028 - samples/sec: 17.35 - lr: 0.050000
2021-06-20 07:15:42,072 epoch 84 - iter 220/226 - loss 3.00787678 - samples/sec: 15.28 - lr: 0.050000
2021-06-20 07:15:53,076 ----------------------------------------------------------------------------------------------------
2021-06-20 07:15:53,079 EPOCH 84 done: loss 3.0061 - lr 0.0500000
2021-06-20 07:15:53,082 BAD EPOCHS (no improvement): 0
2021-06-20 07:15:53,090 ----------------------------------------------------------------------------------------------------
2021-06-20 07:16:37,062 epoch 85 - iter 22/226 - loss 3.05635117 - samples/sec: 16.01 - lr: 0.050000
2021-06-20 07:17:19,926 epoch 85 - iter 44/226 - loss 2.96761619 - samples/sec: 16.43 - lr: 0.050000
2021-06-20 07:18:02,862 epoch 85 - iter 66/226 - loss 2.95033767 - samples/sec: 16.40 - lr: 0.050000
2021-06-20 07:18:45,625 epoch 85 - iter 88/226 - loss 3.00109747 - samples/sec: 16.47 - lr: 0.050000
2021-06-20 07:19:27,159 epoch 85 - iter 110/226 - loss 3.05403622 - samples/sec: 16.95 - lr: 0.050000
2021-06-20 07:20:10,540 epoch 85 - iter 132/226 - loss 3.02083106 - samples/sec: 16.23 - lr: 0.050000
2021-06-20 07:20:51,749 epoch 85 - iter 154/226 - loss 3.00459915 - samples/sec: 17.09 - lr: 0.050000
2021-06-20 07:21:35,729 epoch 85 - iter 176/226 - loss 3.00371430 - samples/sec: 16.01 - lr: 0.050000
2021-06-20 07:22:20,849 epoch 85 - iter 198/226 - loss 3.00576521 - samples/sec: 15.60 - lr: 0.050000
2021-06-20 07:23:03,204 epoch 85 - iter 220/226 - loss 2.98483854 - samples/sec: 16.62 - lr: 0.050000
2021-06-20 07:23:15,139 ----------------------------------------------------------------------------------------------------
2021-06-20 07:23:15,143 EPOCH 85 done: loss 2.9941 - lr 0.0500000
2021-06-20 07:23:15,146 BAD EPOCHS (no improvement): 0
2021-06-20 07:23:15,158 ----------------------------------------------------------------------------------------------------
2021-06-20 07:23:59,721 epoch 86 - iter 22/226 - loss 3.08997107 - samples/sec: 15.80 - lr: 0.050000
2021-06-20 07:24:44,510 epoch 86 - iter 44/226 - loss 3.04827410 - samples/sec: 15.72 - lr: 0.050000
2021-06-20 07:25:24,847 epoch 86 - iter 66/226 - loss 2.96402142 - samples/sec: 17.46 - lr: 0.050000
2021-06-20 07:26:10,522 epoch 86 - iter 88/226 - loss 2.92107103 - samples/sec: 15.42 - lr: 0.050000
2021-06-20 07:26:53,771 epoch 86 - iter 110/226 - loss 2.91458875 - samples/sec: 16.28 - lr: 0.050000
2021-06-20 07:27:35,680 epoch 86 - iter 132/226 - loss 2.90223707 - samples/sec: 16.80 - lr: 0.050000
2021-06-20 07:28:21,168 epoch 86 - iter 154/226 - loss 2.88909284 - samples/sec: 15.48 - lr: 0.050000
2021-06-20 07:29:05,024 epoch 86 - iter 176/226 - loss 2.91157169 - samples/sec: 16.05 - lr: 0.050000
2021-06-20 07:29:49,568 epoch 86 - iter 198/226 - loss 2.92619713 - samples/sec: 15.81 - lr: 0.050000
2021-06-20 07:30:32,868 epoch 86 - iter 220/226 - loss 2.93875393 - samples/sec: 16.26 - lr: 0.050000
2021-06-20 07:30:42,573 ----------------------------------------------------------------------------------------------------
2021-06-20 07:30:42,576 EPOCH 86 done: loss 2.9346 - lr 0.0500000
2021-06-20 07:30:42,583 BAD EPOCHS (no improvement): 0
2021-06-20 07:30:42,593 ----------------------------------------------------------------------------------------------------
2021-06-20 07:31:26,481 epoch 87 - iter 22/226 - loss 3.09325706 - samples/sec: 16.04 - lr: 0.050000
2021-06-20 07:32:10,802 epoch 87 - iter 44/226 - loss 2.89923998 - samples/sec: 15.89 - lr: 0.050000
2021-06-20 07:32:57,083 epoch 87 - iter 66/226 - loss 2.92424799 - samples/sec: 15.21 - lr: 0.050000
2021-06-20 07:33:41,150 epoch 87 - iter 88/226 - loss 2.93293523 - samples/sec: 15.98 - lr: 0.050000
2021-06-20 07:34:24,244 epoch 87 - iter 110/226 - loss 2.93967096 - samples/sec: 16.34 - lr: 0.050000
2021-06-20 07:35:07,453 epoch 87 - iter 132/226 - loss 2.92950468 - samples/sec: 16.29 - lr: 0.050000
2021-06-20 07:35:51,477 epoch 87 - iter 154/226 - loss 2.94829895 - samples/sec: 15.99 - lr: 0.050000
2021-06-20 07:36:34,947 epoch 87 - iter 176/226 - loss 2.94869225 - samples/sec: 16.20 - lr: 0.050000
2021-06-20 07:37:17,015 epoch 87 - iter 198/226 - loss 2.93991302 - samples/sec: 16.74 - lr: 0.050000
2021-06-20 07:37:58,665 epoch 87 - iter 220/226 - loss 2.92316830 - samples/sec: 16.91 - lr: 0.050000
2021-06-20 07:38:10,388 ----------------------------------------------------------------------------------------------------
2021-06-20 07:38:10,391 EPOCH 87 done: loss 2.9220 - lr 0.0500000
2021-06-20 07:38:10,394 BAD EPOCHS (no improvement): 0
2021-06-20 07:38:10,402 ----------------------------------------------------------------------------------------------------
2021-06-20 07:38:52,262 epoch 88 - iter 22/226 - loss 2.99829026 - samples/sec: 16.82 - lr: 0.050000
2021-06-20 07:39:36,498 epoch 88 - iter 44/226 - loss 2.96378643 - samples/sec: 15.92 - lr: 0.050000
2021-06-20 07:40:20,506 epoch 88 - iter 66/226 - loss 2.87883238 - samples/sec: 16.00 - lr: 0.050000
2021-06-20 07:41:01,900 epoch 88 - iter 88/226 - loss 2.84775290 - samples/sec: 17.01 - lr: 0.050000
2021-06-20 07:41:48,970 epoch 88 - iter 110/226 - loss 2.85328834 - samples/sec: 14.96 - lr: 0.050000
2021-06-20 07:42:30,144 epoch 88 - iter 132/226 - loss 2.85123147 - samples/sec: 17.10 - lr: 0.050000
2021-06-20 07:43:12,984 epoch 88 - iter 154/226 - loss 2.82108355 - samples/sec: 16.44 - lr: 0.050000
2021-06-20 07:43:53,751 epoch 88 - iter 176/226 - loss 2.82632456 - samples/sec: 17.27 - lr: 0.050000
2021-06-20 07:44:39,476 epoch 88 - iter 198/226 - loss 2.82807691 - samples/sec: 15.40 - lr: 0.050000
2021-06-20 07:45:22,666 epoch 88 - iter 220/226 - loss 2.82001787 - samples/sec: 16.30 - lr: 0.050000
2021-06-20 07:45:32,841 ----------------------------------------------------------------------------------------------------
2021-06-20 07:45:32,846 EPOCH 88 done: loss 2.8231 - lr 0.0500000
2021-06-20 07:45:32,849 BAD EPOCHS (no improvement): 0
2021-06-20 07:45:32,863 ----------------------------------------------------------------------------------------------------
2021-06-20 07:46:17,001 epoch 89 - iter 22/226 - loss 2.78353145 - samples/sec: 15.95 - lr: 0.050000
2021-06-20 07:47:00,138 epoch 89 - iter 44/226 - loss 2.76716846 - samples/sec: 16.32 - lr: 0.050000
2021-06-20 07:47:43,519 epoch 89 - iter 66/226 - loss 2.82040625 - samples/sec: 16.23 - lr: 0.050000
2021-06-20 07:48:26,467 epoch 89 - iter 88/226 - loss 2.79283386 - samples/sec: 16.40 - lr: 0.050000
2021-06-20 07:49:10,791 epoch 89 - iter 110/226 - loss 2.83182170 - samples/sec: 15.88 - lr: 0.050000
2021-06-20 07:49:53,077 epoch 89 - iter 132/226 - loss 2.84513039 - samples/sec: 16.65 - lr: 0.050000
2021-06-20 07:50:34,512 epoch 89 - iter 154/226 - loss 2.86351063 - samples/sec: 16.99 - lr: 0.050000
2021-06-20 07:51:17,642 epoch 89 - iter 176/226 - loss 2.84350034 - samples/sec: 16.32 - lr: 0.050000
2021-06-20 07:52:03,804 epoch 89 - iter 198/226 - loss 2.84278637 - samples/sec: 15.25 - lr: 0.050000
2021-06-20 07:52:46,757 epoch 89 - iter 220/226 - loss 2.84501220 - samples/sec: 16.39 - lr: 0.050000
2021-06-20 07:52:57,627 ----------------------------------------------------------------------------------------------------
2021-06-20 07:52:57,629 EPOCH 89 done: loss 2.8476 - lr 0.0500000
2021-06-20 07:52:57,632 BAD EPOCHS (no improvement): 1
2021-06-20 07:52:57,645 ----------------------------------------------------------------------------------------------------
2021-06-20 07:53:36,770 epoch 90 - iter 22/226 - loss 3.11849394 - samples/sec: 18.00 - lr: 0.050000
2021-06-20 07:54:22,354 epoch 90 - iter 44/226 - loss 2.94415075 - samples/sec: 15.45 - lr: 0.050000
2021-06-20 07:55:04,976 epoch 90 - iter 66/226 - loss 2.93827503 - samples/sec: 16.52 - lr: 0.050000
2021-06-20 07:55:49,757 epoch 90 - iter 88/226 - loss 2.90323238 - samples/sec: 15.72 - lr: 0.050000
2021-06-20 07:56:33,171 epoch 90 - iter 110/226 - loss 2.82563300 - samples/sec: 16.22 - lr: 0.050000
2021-06-20 07:57:18,371 epoch 90 - iter 132/226 - loss 2.84396989 - samples/sec: 15.58 - lr: 0.050000
2021-06-20 07:58:04,270 epoch 90 - iter 154/226 - loss 2.83694812 - samples/sec: 15.34 - lr: 0.050000
2021-06-20 07:58:46,471 epoch 90 - iter 176/226 - loss 2.83604459 - samples/sec: 16.68 - lr: 0.050000
2021-06-20 07:59:30,561 epoch 90 - iter 198/226 - loss 2.81572065 - samples/sec: 15.97 - lr: 0.050000
2021-06-20 08:00:11,359 epoch 90 - iter 220/226 - loss 2.80116782 - samples/sec: 17.26 - lr: 0.050000
2021-06-20 08:00:23,330 ----------------------------------------------------------------------------------------------------
2021-06-20 08:00:23,333 EPOCH 90 done: loss 2.8057 - lr 0.0500000
2021-06-20 08:00:23,336 BAD EPOCHS (no improvement): 0
2021-06-20 08:00:23,349 ----------------------------------------------------------------------------------------------------
2021-06-20 08:01:08,030 epoch 91 - iter 22/226 - loss 2.91115704 - samples/sec: 15.76 - lr: 0.050000
2021-06-20 08:01:50,019 epoch 91 - iter 44/226 - loss 2.76764043 - samples/sec: 16.77 - lr: 0.050000
2021-06-20 08:02:30,048 epoch 91 - iter 66/226 - loss 2.71487162 - samples/sec: 17.59 - lr: 0.050000
2021-06-20 08:03:12,228 epoch 91 - iter 88/226 - loss 2.72262610 - samples/sec: 16.69 - lr: 0.050000
2021-06-20 08:03:55,694 epoch 91 - iter 110/226 - loss 2.71947054 - samples/sec: 16.20 - lr: 0.050000
2021-06-20 08:04:40,131 epoch 91 - iter 132/226 - loss 2.74105730 - samples/sec: 15.84 - lr: 0.050000
2021-06-20 08:05:24,991 epoch 91 - iter 154/226 - loss 2.76893838 - samples/sec: 15.70 - lr: 0.050000
2021-06-20 08:06:10,747 epoch 91 - iter 176/226 - loss 2.76096395 - samples/sec: 15.39 - lr: 0.050000
2021-06-20 08:06:55,638 epoch 91 - iter 198/226 - loss 2.76317689 - samples/sec: 15.68 - lr: 0.050000
2021-06-20 08:07:39,597 epoch 91 - iter 220/226 - loss 2.77336351 - samples/sec: 16.02 - lr: 0.050000
2021-06-20 08:07:51,424 ----------------------------------------------------------------------------------------------------
2021-06-20 08:07:51,429 EPOCH 91 done: loss 2.7758 - lr 0.0500000
2021-06-20 08:07:51,434 BAD EPOCHS (no improvement): 0
2021-06-20 08:07:51,445 ----------------------------------------------------------------------------------------------------
2021-06-20 08:08:32,747 epoch 92 - iter 22/226 - loss 2.74829011 - samples/sec: 17.05 - lr: 0.050000
2021-06-20 08:09:17,444 epoch 92 - iter 44/226 - loss 2.91171168 - samples/sec: 15.75 - lr: 0.050000
2021-06-20 08:10:01,345 epoch 92 - iter 66/226 - loss 2.84754073 - samples/sec: 16.04 - lr: 0.050000
2021-06-20 08:10:43,950 epoch 92 - iter 88/226 - loss 2.79155859 - samples/sec: 16.53 - lr: 0.050000
2021-06-20 08:11:28,069 epoch 92 - iter 110/226 - loss 2.81133111 - samples/sec: 15.96 - lr: 0.050000
2021-06-20 08:12:11,279 epoch 92 - iter 132/226 - loss 2.85760460 - samples/sec: 16.29 - lr: 0.050000
2021-06-20 08:12:55,608 epoch 92 - iter 154/226 - loss 2.83637555 - samples/sec: 15.88 - lr: 0.050000
2021-06-20 08:13:40,500 epoch 92 - iter 176/226 - loss 2.81028120 - samples/sec: 15.68 - lr: 0.050000
2021-06-20 08:14:22,984 epoch 92 - iter 198/226 - loss 2.79798958 - samples/sec: 16.57 - lr: 0.050000
2021-06-20 08:15:02,592 epoch 92 - iter 220/226 - loss 2.78921401 - samples/sec: 17.78 - lr: 0.050000
2021-06-20 08:15:12,932 ----------------------------------------------------------------------------------------------------
2021-06-20 08:15:12,935 EPOCH 92 done: loss 2.7813 - lr 0.0500000
2021-06-20 08:15:12,938 BAD EPOCHS (no improvement): 1
2021-06-20 08:15:12,957 ----------------------------------------------------------------------------------------------------
2021-06-20 08:15:53,755 epoch 93 - iter 22/226 - loss 2.45978718 - samples/sec: 17.26 - lr: 0.050000
2021-06-20 08:16:37,529 epoch 93 - iter 44/226 - loss 2.56266324 - samples/sec: 16.08 - lr: 0.050000
2021-06-20 08:17:21,177 epoch 93 - iter 66/226 - loss 2.65903200 - samples/sec: 16.13 - lr: 0.050000
2021-06-20 08:18:05,608 epoch 93 - iter 88/226 - loss 2.66433614 - samples/sec: 15.85 - lr: 0.050000
2021-06-20 08:18:51,252 epoch 93 - iter 110/226 - loss 2.71837929 - samples/sec: 15.43 - lr: 0.050000
2021-06-20 08:19:33,829 epoch 93 - iter 132/226 - loss 2.69935137 - samples/sec: 16.54 - lr: 0.050000
2021-06-20 08:20:16,363 epoch 93 - iter 154/226 - loss 2.70887737 - samples/sec: 16.55 - lr: 0.050000
2021-06-20 08:21:00,200 epoch 93 - iter 176/226 - loss 2.71621499 - samples/sec: 16.06 - lr: 0.050000
2021-06-20 08:21:43,831 epoch 93 - iter 198/226 - loss 2.72526227 - samples/sec: 16.14 - lr: 0.050000
2021-06-20 08:22:24,361 epoch 93 - iter 220/226 - loss 2.71081331 - samples/sec: 17.37 - lr: 0.050000
2021-06-20 08:22:35,083 ----------------------------------------------------------------------------------------------------
2021-06-20 08:22:35,086 EPOCH 93 done: loss 2.7121 - lr 0.0500000
2021-06-20 08:22:35,088 BAD EPOCHS (no improvement): 0
2021-06-20 08:22:35,101 ----------------------------------------------------------------------------------------------------
2021-06-20 08:23:19,141 epoch 94 - iter 22/226 - loss 2.53042261 - samples/sec: 15.99 - lr: 0.050000
2021-06-20 08:24:03,230 epoch 94 - iter 44/226 - loss 2.62082327 - samples/sec: 15.97 - lr: 0.050000
2021-06-20 08:24:45,170 epoch 94 - iter 66/226 - loss 2.68932264 - samples/sec: 16.79 - lr: 0.050000
2021-06-20 08:25:28,335 epoch 94 - iter 88/226 - loss 2.71475568 - samples/sec: 16.31 - lr: 0.050000
2021-06-20 08:26:13,465 epoch 94 - iter 110/226 - loss 2.68671889 - samples/sec: 15.60 - lr: 0.050000
2021-06-20 08:26:57,104 epoch 94 - iter 132/226 - loss 2.70995942 - samples/sec: 16.13 - lr: 0.050000
2021-06-20 08:27:40,355 epoch 94 - iter 154/226 - loss 2.68157370 - samples/sec: 16.28 - lr: 0.050000
2021-06-20 08:28:24,867 epoch 94 - iter 176/226 - loss 2.69253594 - samples/sec: 15.82 - lr: 0.050000
2021-06-20 08:29:07,309 epoch 94 - iter 198/226 - loss 2.68835453 - samples/sec: 16.59 - lr: 0.050000
2021-06-20 08:29:49,799 epoch 94 - iter 220/226 - loss 2.70030700 - samples/sec: 16.57 - lr: 0.050000
2021-06-20 08:29:59,884 ----------------------------------------------------------------------------------------------------
2021-06-20 08:29:59,888 EPOCH 94 done: loss 2.7057 - lr 0.0500000
2021-06-20 08:29:59,895 BAD EPOCHS (no improvement): 0
2021-06-20 08:29:59,909 ----------------------------------------------------------------------------------------------------
2021-06-20 08:30:40,533 epoch 95 - iter 22/226 - loss 2.74410119 - samples/sec: 17.33 - lr: 0.050000
2021-06-20 08:31:23,383 epoch 95 - iter 44/226 - loss 2.74493732 - samples/sec: 16.43 - lr: 0.050000
2021-06-20 08:32:07,439 epoch 95 - iter 66/226 - loss 2.71627536 - samples/sec: 15.98 - lr: 0.050000
2021-06-20 08:32:50,502 epoch 95 - iter 88/226 - loss 2.69641354 - samples/sec: 16.35 - lr: 0.050000
2021-06-20 08:33:35,350 epoch 95 - iter 110/226 - loss 2.70751661 - samples/sec: 15.70 - lr: 0.050000
2021-06-20 08:34:18,321 epoch 95 - iter 132/226 - loss 2.69800967 - samples/sec: 16.39 - lr: 0.050000
2021-06-20 08:34:59,726 epoch 95 - iter 154/226 - loss 2.65530216 - samples/sec: 17.01 - lr: 0.050000
2021-06-20 08:35:43,987 epoch 95 - iter 176/226 - loss 2.64853823 - samples/sec: 15.91 - lr: 0.050000
2021-06-20 08:36:29,734 epoch 95 - iter 198/226 - loss 2.65850560 - samples/sec: 15.39 - lr: 0.050000
2021-06-20 08:37:13,604 epoch 95 - iter 220/226 - loss 2.66616056 - samples/sec: 16.05 - lr: 0.050000
2021-06-20 08:37:24,009 ----------------------------------------------------------------------------------------------------
2021-06-20 08:37:24,012 EPOCH 95 done: loss 2.6693 - lr 0.0500000
2021-06-20 08:37:24,018 BAD EPOCHS (no improvement): 0
2021-06-20 08:37:24,030 ----------------------------------------------------------------------------------------------------
2021-06-20 08:38:06,097 epoch 96 - iter 22/226 - loss 2.52048304 - samples/sec: 16.74 - lr: 0.050000
2021-06-20 08:38:49,240 epoch 96 - iter 44/226 - loss 2.57446522 - samples/sec: 16.32 - lr: 0.050000
2021-06-20 08:39:32,465 epoch 96 - iter 66/226 - loss 2.54707660 - samples/sec: 16.29 - lr: 0.050000
2021-06-20 08:40:16,354 epoch 96 - iter 88/226 - loss 2.59396676 - samples/sec: 16.04 - lr: 0.050000
2021-06-20 08:40:57,832 epoch 96 - iter 110/226 - loss 2.58346600 - samples/sec: 16.97 - lr: 0.050000
2021-06-20 08:41:40,046 epoch 96 - iter 132/226 - loss 2.58928471 - samples/sec: 16.68 - lr: 0.050000
2021-06-20 08:42:22,660 epoch 96 - iter 154/226 - loss 2.63654844 - samples/sec: 16.52 - lr: 0.050000
2021-06-20 08:43:06,401 epoch 96 - iter 176/226 - loss 2.64321354 - samples/sec: 16.10 - lr: 0.050000
2021-06-20 08:43:54,264 epoch 96 - iter 198/226 - loss 2.65038130 - samples/sec: 14.71 - lr: 0.050000
2021-06-20 08:44:35,480 epoch 96 - iter 220/226 - loss 2.66803368 - samples/sec: 17.08 - lr: 0.050000
2021-06-20 08:44:46,524 ----------------------------------------------------------------------------------------------------
2021-06-20 08:44:46,527 EPOCH 96 done: loss 2.6687 - lr 0.0500000
2021-06-20 08:44:46,529 BAD EPOCHS (no improvement): 0
2021-06-20 08:44:46,542 ----------------------------------------------------------------------------------------------------
2021-06-20 08:45:28,907 epoch 97 - iter 22/226 - loss 2.72973936 - samples/sec: 16.62 - lr: 0.050000
2021-06-20 08:46:12,687 epoch 97 - iter 44/226 - loss 2.73293261 - samples/sec: 16.08 - lr: 0.050000
2021-06-20 08:46:54,523 epoch 97 - iter 66/226 - loss 2.69763266 - samples/sec: 16.83 - lr: 0.050000
2021-06-20 08:47:39,032 epoch 97 - iter 88/226 - loss 2.68380445 - samples/sec: 15.82 - lr: 0.050000
2021-06-20 08:48:21,048 epoch 97 - iter 110/226 - loss 2.73784576 - samples/sec: 16.76 - lr: 0.050000
2021-06-20 08:49:04,726 epoch 97 - iter 132/226 - loss 2.72986894 - samples/sec: 16.12 - lr: 0.050000
2021-06-20 08:49:48,133 epoch 97 - iter 154/226 - loss 2.76821023 - samples/sec: 16.22 - lr: 0.050000
2021-06-20 08:50:31,070 epoch 97 - iter 176/226 - loss 2.76238204 - samples/sec: 16.40 - lr: 0.050000
2021-06-20 08:51:11,716 epoch 97 - iter 198/226 - loss 2.74399603 - samples/sec: 17.32 - lr: 0.050000
2021-06-20 08:51:58,126 epoch 97 - iter 220/226 - loss 2.75383405 - samples/sec: 15.17 - lr: 0.050000
2021-06-20 08:52:08,584 ----------------------------------------------------------------------------------------------------
2021-06-20 08:52:08,587 EPOCH 97 done: loss 2.7522 - lr 0.0500000
2021-06-20 08:52:08,590 BAD EPOCHS (no improvement): 1
2021-06-20 08:52:08,602 ----------------------------------------------------------------------------------------------------
2021-06-20 08:52:48,339 epoch 98 - iter 22/226 - loss 2.24153838 - samples/sec: 17.72 - lr: 0.050000
2021-06-20 08:53:30,452 epoch 98 - iter 44/226 - loss 2.46071397 - samples/sec: 16.72 - lr: 0.050000
2021-06-20 08:54:15,122 epoch 98 - iter 66/226 - loss 2.55951003 - samples/sec: 15.76 - lr: 0.050000
2021-06-20 08:54:57,714 epoch 98 - iter 88/226 - loss 2.65328260 - samples/sec: 16.53 - lr: 0.050000
2021-06-20 08:55:42,672 epoch 98 - iter 110/226 - loss 2.69088355 - samples/sec: 15.66 - lr: 0.050000
2021-06-20 08:56:23,571 epoch 98 - iter 132/226 - loss 2.69048331 - samples/sec: 17.22 - lr: 0.050000
2021-06-20 08:57:05,776 epoch 98 - iter 154/226 - loss 2.69865513 - samples/sec: 16.68 - lr: 0.050000
2021-06-20 08:57:49,534 epoch 98 - iter 176/226 - loss 2.69725344 - samples/sec: 16.09 - lr: 0.050000
2021-06-20 08:58:32,560 epoch 98 - iter 198/226 - loss 2.67822316 - samples/sec: 16.36 - lr: 0.050000
2021-06-20 08:59:20,406 epoch 98 - iter 220/226 - loss 2.67882149 - samples/sec: 14.72 - lr: 0.050000
2021-06-20 08:59:32,126 ----------------------------------------------------------------------------------------------------
2021-06-20 08:59:32,129 EPOCH 98 done: loss 2.6696 - lr 0.0500000
2021-06-20 08:59:32,131 BAD EPOCHS (no improvement): 2
2021-06-20 08:59:32,144 ----------------------------------------------------------------------------------------------------
2021-06-20 09:00:13,123 epoch 99 - iter 22/226 - loss 2.58091389 - samples/sec: 17.18 - lr: 0.050000
2021-06-20 09:00:56,478 epoch 99 - iter 44/226 - loss 2.64493834 - samples/sec: 16.24 - lr: 0.050000
2021-06-20 09:01:39,607 epoch 99 - iter 66/226 - loss 2.67832385 - samples/sec: 16.33 - lr: 0.050000
2021-06-20 09:02:24,239 epoch 99 - iter 88/226 - loss 2.67836463 - samples/sec: 15.78 - lr: 0.050000
2021-06-20 09:03:09,303 epoch 99 - iter 110/226 - loss 2.68268685 - samples/sec: 15.63 - lr: 0.050000
2021-06-20 09:03:54,320 epoch 99 - iter 132/226 - loss 2.69874035 - samples/sec: 15.64 - lr: 0.050000
2021-06-20 09:04:37,588 epoch 99 - iter 154/226 - loss 2.69636643 - samples/sec: 16.27 - lr: 0.050000
2021-06-20 09:05:21,200 epoch 99 - iter 176/226 - loss 2.66882623 - samples/sec: 16.14 - lr: 0.050000
2021-06-20 09:06:03,169 epoch 99 - iter 198/226 - loss 2.67160115 - samples/sec: 16.78 - lr: 0.050000
2021-06-20 09:06:47,306 epoch 99 - iter 220/226 - loss 2.67022995 - samples/sec: 15.95 - lr: 0.050000
2021-06-20 09:06:56,642 ----------------------------------------------------------------------------------------------------
2021-06-20 09:06:56,644 EPOCH 99 done: loss 2.6674 - lr 0.0500000
2021-06-20 09:06:56,649 BAD EPOCHS (no improvement): 0
2021-06-20 09:06:56,660 ----------------------------------------------------------------------------------------------------
2021-06-20 09:07:38,343 epoch 100 - iter 22/226 - loss 2.55239728 - samples/sec: 16.89 - lr: 0.050000
2021-06-20 09:08:20,666 epoch 100 - iter 44/226 - loss 2.55107950 - samples/sec: 16.64 - lr: 0.050000
2021-06-20 09:09:05,717 epoch 100 - iter 66/226 - loss 2.53765345 - samples/sec: 15.63 - lr: 0.050000
2021-06-20 09:09:50,770 epoch 100 - iter 88/226 - loss 2.53467282 - samples/sec: 15.63 - lr: 0.050000
2021-06-20 09:10:32,427 epoch 100 - iter 110/226 - loss 2.56769898 - samples/sec: 16.90 - lr: 0.050000
2021-06-20 09:11:17,318 epoch 100 - iter 132/226 - loss 2.58475910 - samples/sec: 15.68 - lr: 0.050000
2021-06-20 09:11:58,952 epoch 100 - iter 154/226 - loss 2.61422314 - samples/sec: 16.91 - lr: 0.050000
2021-06-20 09:12:42,289 epoch 100 - iter 176/226 - loss 2.60628939 - samples/sec: 16.25 - lr: 0.050000
2021-06-20 09:13:24,868 epoch 100 - iter 198/226 - loss 2.61198270 - samples/sec: 16.54 - lr: 0.050000
2021-06-20 09:14:06,105 epoch 100 - iter 220/226 - loss 2.60753974 - samples/sec: 17.07 - lr: 0.050000
2021-06-20 09:14:17,068 ----------------------------------------------------------------------------------------------------
2021-06-20 09:14:17,069 EPOCH 100 done: loss 2.6102 - lr 0.0500000
2021-06-20 09:14:17,073 BAD EPOCHS (no improvement): 0
2021-06-20 09:14:17,089 ----------------------------------------------------------------------------------------------------
2021-06-20 09:14:58,318 epoch 101 - iter 22/226 - loss 2.49310296 - samples/sec: 17.08 - lr: 0.050000
2021-06-20 09:15:44,338 epoch 101 - iter 44/226 - loss 2.50777799 - samples/sec: 15.30 - lr: 0.050000
2021-06-20 09:16:23,935 epoch 101 - iter 66/226 - loss 2.49651965 - samples/sec: 17.78 - lr: 0.050000
2021-06-20 09:17:06,251 epoch 101 - iter 88/226 - loss 2.55659876 - samples/sec: 16.64 - lr: 0.050000
2021-06-20 09:17:50,357 epoch 101 - iter 110/226 - loss 2.56290438 - samples/sec: 15.96 - lr: 0.050000
2021-06-20 09:18:33,025 epoch 101 - iter 132/226 - loss 2.59249639 - samples/sec: 16.50 - lr: 0.050000
2021-06-20 09:19:18,351 epoch 101 - iter 154/226 - loss 2.60091355 - samples/sec: 15.53 - lr: 0.050000
2021-06-20 09:20:02,090 epoch 101 - iter 176/226 - loss 2.60914204 - samples/sec: 16.10 - lr: 0.050000
2021-06-20 09:20:46,399 epoch 101 - iter 198/226 - loss 2.60970453 - samples/sec: 15.89 - lr: 0.050000
2021-06-20 09:21:26,890 epoch 101 - iter 220/226 - loss 2.60203674 - samples/sec: 17.39 - lr: 0.050000
2021-06-20 09:21:38,133 ----------------------------------------------------------------------------------------------------
2021-06-20 09:21:38,137 EPOCH 101 done: loss 2.6054 - lr 0.0500000
2021-06-20 09:21:38,140 BAD EPOCHS (no improvement): 0
2021-06-20 09:21:38,155 ----------------------------------------------------------------------------------------------------
2021-06-20 09:22:22,549 epoch 102 - iter 22/226 - loss 2.68300097 - samples/sec: 15.86 - lr: 0.050000
2021-06-20 09:23:03,507 epoch 102 - iter 44/226 - loss 2.46682017 - samples/sec: 17.19 - lr: 0.050000
2021-06-20 09:23:44,918 epoch 102 - iter 66/226 - loss 2.55488450 - samples/sec: 17.00 - lr: 0.050000
2021-06-20 09:24:26,769 epoch 102 - iter 88/226 - loss 2.58629412 - samples/sec: 16.82 - lr: 0.050000
2021-06-20 09:25:09,632 epoch 102 - iter 110/226 - loss 2.55168490 - samples/sec: 16.43 - lr: 0.050000
2021-06-20 09:25:52,681 epoch 102 - iter 132/226 - loss 2.51686704 - samples/sec: 16.36 - lr: 0.050000
2021-06-20 09:26:37,402 epoch 102 - iter 154/226 - loss 2.55515747 - samples/sec: 15.74 - lr: 0.050000
2021-06-20 09:27:20,060 epoch 102 - iter 176/226 - loss 2.56156396 - samples/sec: 16.51 - lr: 0.050000
2021-06-20 09:28:05,038 epoch 102 - iter 198/226 - loss 2.53953964 - samples/sec: 15.65 - lr: 0.050000
2021-06-20 09:28:49,151 epoch 102 - iter 220/226 - loss 2.54901692 - samples/sec: 15.96 - lr: 0.050000
2021-06-20 09:28:59,998 ----------------------------------------------------------------------------------------------------
2021-06-20 09:29:00,001 EPOCH 102 done: loss 2.5427 - lr 0.0500000
2021-06-20 09:29:00,006 BAD EPOCHS (no improvement): 0
2021-06-20 09:29:00,015 ----------------------------------------------------------------------------------------------------
2021-06-20 09:29:42,227 epoch 103 - iter 22/226 - loss 2.55526554 - samples/sec: 16.68 - lr: 0.050000
2021-06-20 09:30:25,567 epoch 103 - iter 44/226 - loss 2.55785243 - samples/sec: 16.25 - lr: 0.050000
2021-06-20 09:31:07,706 epoch 103 - iter 66/226 - loss 2.61119605 - samples/sec: 16.71 - lr: 0.050000
2021-06-20 09:31:51,368 epoch 103 - iter 88/226 - loss 2.58164093 - samples/sec: 16.13 - lr: 0.050000
2021-06-20 09:32:32,566 epoch 103 - iter 110/226 - loss 2.54395156 - samples/sec: 17.09 - lr: 0.050000
2021-06-20 09:33:16,826 epoch 103 - iter 132/226 - loss 2.57437228 - samples/sec: 15.91 - lr: 0.050000
2021-06-20 09:33:59,918 epoch 103 - iter 154/226 - loss 2.58438957 - samples/sec: 16.34 - lr: 0.050000
2021-06-20 09:34:41,926 epoch 103 - iter 176/226 - loss 2.60362257 - samples/sec: 16.76 - lr: 0.050000
2021-06-20 09:35:21,968 epoch 103 - iter 198/226 - loss 2.58225955 - samples/sec: 17.58 - lr: 0.050000
2021-06-20 09:36:09,112 epoch 103 - iter 220/226 - loss 2.58829265 - samples/sec: 14.93 - lr: 0.050000
2021-06-20 09:36:21,001 ----------------------------------------------------------------------------------------------------
2021-06-20 09:36:21,005 EPOCH 103 done: loss 2.5885 - lr 0.0500000
2021-06-20 09:36:21,011 BAD EPOCHS (no improvement): 1
2021-06-20 09:36:21,023 ----------------------------------------------------------------------------------------------------
2021-06-20 09:37:03,118 epoch 104 - iter 22/226 - loss 2.69755624 - samples/sec: 16.73 - lr: 0.050000
2021-06-20 09:37:44,811 epoch 104 - iter 44/226 - loss 2.56346629 - samples/sec: 16.89 - lr: 0.050000
2021-06-20 09:38:27,348 epoch 104 - iter 66/226 - loss 2.60433188 - samples/sec: 16.55 - lr: 0.050000
2021-06-20 09:39:13,374 epoch 104 - iter 88/226 - loss 2.56614376 - samples/sec: 15.30 - lr: 0.050000
2021-06-20 09:39:57,627 epoch 104 - iter 110/226 - loss 2.58170804 - samples/sec: 15.91 - lr: 0.050000
2021-06-20 09:40:39,783 epoch 104 - iter 132/226 - loss 2.57490879 - samples/sec: 16.70 - lr: 0.050000
2021-06-20 09:41:24,003 epoch 104 - iter 154/226 - loss 2.58237384 - samples/sec: 15.92 - lr: 0.050000
2021-06-20 09:42:08,640 epoch 104 - iter 176/226 - loss 2.58035591 - samples/sec: 15.78 - lr: 0.050000
2021-06-20 09:42:51,008 epoch 104 - iter 198/226 - loss 2.57573945 - samples/sec: 16.62 - lr: 0.050000
2021-06-20 09:43:34,004 epoch 104 - iter 220/226 - loss 2.55603703 - samples/sec: 16.38 - lr: 0.050000
2021-06-20 09:43:45,080 ----------------------------------------------------------------------------------------------------
2021-06-20 09:43:45,085 EPOCH 104 done: loss 2.5534 - lr 0.0500000
2021-06-20 09:43:45,095 BAD EPOCHS (no improvement): 2
2021-06-20 09:43:45,106 ----------------------------------------------------------------------------------------------------
2021-06-20 09:44:28,195 epoch 105 - iter 22/226 - loss 2.53852993 - samples/sec: 16.34 - lr: 0.050000
2021-06-20 09:45:11,994 epoch 105 - iter 44/226 - loss 2.47082911 - samples/sec: 16.08 - lr: 0.050000
2021-06-20 09:45:54,661 epoch 105 - iter 66/226 - loss 2.51853876 - samples/sec: 16.50 - lr: 0.050000
2021-06-20 09:46:40,272 epoch 105 - iter 88/226 - loss 2.56040307 - samples/sec: 15.44 - lr: 0.050000
2021-06-20 09:47:23,969 epoch 105 - iter 110/226 - loss 2.57601875 - samples/sec: 16.11 - lr: 0.050000
2021-06-20 09:48:06,437 epoch 105 - iter 132/226 - loss 2.55616550 - samples/sec: 16.58 - lr: 0.050000
2021-06-20 09:48:50,132 epoch 105 - iter 154/226 - loss 2.55031485 - samples/sec: 16.11 - lr: 0.050000
2021-06-20 09:49:32,148 epoch 105 - iter 176/226 - loss 2.54661674 - samples/sec: 16.76 - lr: 0.050000
2021-06-20 09:50:14,832 epoch 105 - iter 198/226 - loss 2.52605818 - samples/sec: 16.50 - lr: 0.050000
2021-06-20 09:50:58,500 epoch 105 - iter 220/226 - loss 2.53111999 - samples/sec: 16.12 - lr: 0.050000
2021-06-20 09:51:09,605 ----------------------------------------------------------------------------------------------------
2021-06-20 09:51:09,608 EPOCH 105 done: loss 2.5322 - lr 0.0500000
2021-06-20 09:51:09,610 BAD EPOCHS (no improvement): 0
2021-06-20 09:51:09,619 ----------------------------------------------------------------------------------------------------
2021-06-20 09:51:53,314 epoch 106 - iter 22/226 - loss 2.19484765 - samples/sec: 16.11 - lr: 0.050000
2021-06-20 09:52:37,763 epoch 106 - iter 44/226 - loss 2.35471431 - samples/sec: 15.84 - lr: 0.050000
2021-06-20 09:53:17,824 epoch 106 - iter 66/226 - loss 2.45173438 - samples/sec: 17.58 - lr: 0.050000
2021-06-20 09:54:01,710 epoch 106 - iter 88/226 - loss 2.50217362 - samples/sec: 16.04 - lr: 0.050000
2021-06-20 09:54:46,348 epoch 106 - iter 110/226 - loss 2.53970790 - samples/sec: 15.77 - lr: 0.050000
2021-06-20 09:55:27,748 epoch 106 - iter 132/226 - loss 2.53737527 - samples/sec: 17.01 - lr: 0.050000
2021-06-20 09:56:06,405 epoch 106 - iter 154/226 - loss 2.55249113 - samples/sec: 18.21 - lr: 0.050000
2021-06-20 09:56:50,724 epoch 106 - iter 176/226 - loss 2.57854423 - samples/sec: 15.89 - lr: 0.050000
2021-06-20 09:57:30,529 epoch 106 - iter 198/226 - loss 2.57086808 - samples/sec: 17.69 - lr: 0.050000
2021-06-20 09:58:13,074 epoch 106 - iter 220/226 - loss 2.57829340 - samples/sec: 16.55 - lr: 0.050000
2021-06-20 09:58:24,304 ----------------------------------------------------------------------------------------------------
2021-06-20 09:58:24,308 EPOCH 106 done: loss 2.5887 - lr 0.0500000
2021-06-20 09:58:24,310 BAD EPOCHS (no improvement): 1
2021-06-20 09:58:24,321 ----------------------------------------------------------------------------------------------------
2021-06-20 09:59:06,529 epoch 107 - iter 22/226 - loss 2.43136383 - samples/sec: 16.68 - lr: 0.050000
2021-06-20 09:59:49,626 epoch 107 - iter 44/226 - loss 2.45031573 - samples/sec: 16.34 - lr: 0.050000
2021-06-20 10:00:33,912 epoch 107 - iter 66/226 - loss 2.47518576 - samples/sec: 15.90 - lr: 0.050000
2021-06-20 10:01:15,436 epoch 107 - iter 88/226 - loss 2.46922400 - samples/sec: 16.96 - lr: 0.050000
2021-06-20 10:01:59,079 epoch 107 - iter 110/226 - loss 2.47655378 - samples/sec: 16.13 - lr: 0.050000
2021-06-20 10:02:40,504 epoch 107 - iter 132/226 - loss 2.49700231 - samples/sec: 17.00 - lr: 0.050000
2021-06-20 10:03:21,118 epoch 107 - iter 154/226 - loss 2.52864238 - samples/sec: 17.34 - lr: 0.050000
2021-06-20 10:04:03,483 epoch 107 - iter 176/226 - loss 2.52239074 - samples/sec: 16.62 - lr: 0.050000
2021-06-20 10:04:45,741 epoch 107 - iter 198/226 - loss 2.54059023 - samples/sec: 16.66 - lr: 0.050000
2021-06-20 10:05:27,969 epoch 107 - iter 220/226 - loss 2.53454968 - samples/sec: 16.67 - lr: 0.050000
2021-06-20 10:05:38,882 ----------------------------------------------------------------------------------------------------
2021-06-20 10:05:38,885 EPOCH 107 done: loss 2.5313 - lr 0.0500000
2021-06-20 10:05:38,887 BAD EPOCHS (no improvement): 0
2021-06-20 10:05:38,899 ----------------------------------------------------------------------------------------------------
2021-06-20 10:06:20,219 epoch 108 - iter 22/226 - loss 2.26307407 - samples/sec: 17.04 - lr: 0.050000
2021-06-20 10:07:03,948 epoch 108 - iter 44/226 - loss 2.54943727 - samples/sec: 16.10 - lr: 0.050000
2021-06-20 10:07:44,466 epoch 108 - iter 66/226 - loss 2.44788161 - samples/sec: 17.38 - lr: 0.050000
2021-06-20 10:08:25,635 epoch 108 - iter 88/226 - loss 2.45824361 - samples/sec: 17.10 - lr: 0.050000
2021-06-20 10:09:06,384 epoch 108 - iter 110/226 - loss 2.44788790 - samples/sec: 17.28 - lr: 0.050000
2021-06-20 10:09:51,354 epoch 108 - iter 132/226 - loss 2.47223059 - samples/sec: 15.66 - lr: 0.050000
2021-06-20 10:10:35,752 epoch 108 - iter 154/226 - loss 2.47170525 - samples/sec: 15.86 - lr: 0.050000
2021-06-20 10:11:17,131 epoch 108 - iter 176/226 - loss 2.48043431 - samples/sec: 17.02 - lr: 0.050000
2021-06-20 10:11:59,056 epoch 108 - iter 198/226 - loss 2.47945234 - samples/sec: 16.79 - lr: 0.050000
2021-06-20 10:12:41,553 epoch 108 - iter 220/226 - loss 2.50637250 - samples/sec: 16.57 - lr: 0.050000
2021-06-20 10:12:51,993 ----------------------------------------------------------------------------------------------------
2021-06-20 10:12:51,996 EPOCH 108 done: loss 2.5013 - lr 0.0500000
2021-06-20 10:12:51,998 BAD EPOCHS (no improvement): 0
2021-06-20 10:12:52,011 ----------------------------------------------------------------------------------------------------
2021-06-20 10:13:33,122 epoch 109 - iter 22/226 - loss 2.70565446 - samples/sec: 17.13 - lr: 0.050000
2021-06-20 10:14:19,523 epoch 109 - iter 44/226 - loss 2.59857776 - samples/sec: 15.17 - lr: 0.050000
2021-06-20 10:15:01,880 epoch 109 - iter 66/226 - loss 2.57612377 - samples/sec: 16.62 - lr: 0.050000
2021-06-20 10:15:43,263 epoch 109 - iter 88/226 - loss 2.56182016 - samples/sec: 17.01 - lr: 0.050000
2021-06-20 10:16:24,473 epoch 109 - iter 110/226 - loss 2.55113224 - samples/sec: 17.09 - lr: 0.050000
2021-06-20 10:17:06,419 epoch 109 - iter 132/226 - loss 2.53402674 - samples/sec: 16.79 - lr: 0.050000
2021-06-20 10:17:48,210 epoch 109 - iter 154/226 - loss 2.53728919 - samples/sec: 16.85 - lr: 0.050000
2021-06-20 10:18:28,344 epoch 109 - iter 176/226 - loss 2.51959542 - samples/sec: 17.55 - lr: 0.050000
2021-06-20 10:19:10,103 epoch 109 - iter 198/226 - loss 2.53364121 - samples/sec: 16.86 - lr: 0.050000
2021-06-20 10:19:53,712 epoch 109 - iter 220/226 - loss 2.52150761 - samples/sec: 16.15 - lr: 0.050000
2021-06-20 10:20:04,553 ----------------------------------------------------------------------------------------------------
2021-06-20 10:20:04,556 EPOCH 109 done: loss 2.5248 - lr 0.0500000
2021-06-20 10:20:04,561 BAD EPOCHS (no improvement): 1
2021-06-20 10:20:04,570 ----------------------------------------------------------------------------------------------------
2021-06-20 10:20:48,854 epoch 110 - iter 22/226 - loss 2.38146443 - samples/sec: 15.90 - lr: 0.050000
2021-06-20 10:21:30,247 epoch 110 - iter 44/226 - loss 2.33609758 - samples/sec: 17.01 - lr: 0.050000
2021-06-20 10:22:13,412 epoch 110 - iter 66/226 - loss 2.40159980 - samples/sec: 16.31 - lr: 0.050000
2021-06-20 10:22:57,151 epoch 110 - iter 88/226 - loss 2.43398215 - samples/sec: 16.10 - lr: 0.050000
2021-06-20 10:23:36,912 epoch 110 - iter 110/226 - loss 2.40999204 - samples/sec: 17.71 - lr: 0.050000
2021-06-20 10:24:17,985 epoch 110 - iter 132/226 - loss 2.40970036 - samples/sec: 17.14 - lr: 0.050000
2021-06-20 10:25:01,633 epoch 110 - iter 154/226 - loss 2.43758584 - samples/sec: 16.13 - lr: 0.050000
2021-06-20 10:25:42,040 epoch 110 - iter 176/226 - loss 2.45195379 - samples/sec: 17.42 - lr: 0.050000
2021-06-20 10:26:24,195 epoch 110 - iter 198/226 - loss 2.47997005 - samples/sec: 16.70 - lr: 0.050000
2021-06-20 10:27:04,632 epoch 110 - iter 220/226 - loss 2.47160916 - samples/sec: 17.41 - lr: 0.050000
2021-06-20 10:27:18,035 ----------------------------------------------------------------------------------------------------
2021-06-20 10:27:18,038 EPOCH 110 done: loss 2.4791 - lr 0.0500000
2021-06-20 10:27:18,040 BAD EPOCHS (no improvement): 0
2021-06-20 10:27:18,057 ----------------------------------------------------------------------------------------------------
2021-06-20 10:28:02,873 epoch 111 - iter 22/226 - loss 2.53398252 - samples/sec: 15.71 - lr: 0.050000
2021-06-20 10:28:42,723 epoch 111 - iter 44/226 - loss 2.52268062 - samples/sec: 17.67 - lr: 0.050000
2021-06-20 10:29:25,996 epoch 111 - iter 66/226 - loss 2.51080523 - samples/sec: 16.27 - lr: 0.050000
2021-06-20 10:30:11,543 epoch 111 - iter 88/226 - loss 2.53434562 - samples/sec: 15.46 - lr: 0.050000
2021-06-20 10:30:54,144 epoch 111 - iter 110/226 - loss 2.48559334 - samples/sec: 16.53 - lr: 0.050000
2021-06-20 10:31:36,932 epoch 111 - iter 132/226 - loss 2.50313829 - samples/sec: 16.46 - lr: 0.050000
2021-06-20 10:32:19,508 epoch 111 - iter 154/226 - loss 2.50550435 - samples/sec: 16.54 - lr: 0.050000
2021-06-20 10:33:01,035 epoch 111 - iter 176/226 - loss 2.53436104 - samples/sec: 16.96 - lr: 0.050000
2021-06-20 10:33:41,905 epoch 111 - iter 198/226 - loss 2.50248123 - samples/sec: 17.23 - lr: 0.050000
2021-06-20 10:34:22,364 epoch 111 - iter 220/226 - loss 2.49673032 - samples/sec: 17.40 - lr: 0.050000
2021-06-20 10:34:32,846 ----------------------------------------------------------------------------------------------------
2021-06-20 10:34:32,852 EPOCH 111 done: loss 2.4928 - lr 0.0500000
2021-06-20 10:34:32,855 BAD EPOCHS (no improvement): 1
2021-06-20 10:34:32,869 ----------------------------------------------------------------------------------------------------
2021-06-20 10:35:16,178 epoch 112 - iter 22/226 - loss 2.65253526 - samples/sec: 16.26 - lr: 0.050000
2021-06-20 10:36:00,326 epoch 112 - iter 44/226 - loss 2.59483565 - samples/sec: 15.95 - lr: 0.050000
2021-06-20 10:36:42,303 epoch 112 - iter 66/226 - loss 2.55225074 - samples/sec: 16.77 - lr: 0.050000
2021-06-20 10:37:24,609 epoch 112 - iter 88/226 - loss 2.51389654 - samples/sec: 16.64 - lr: 0.050000
2021-06-20 10:38:06,160 epoch 112 - iter 110/226 - loss 2.49024228 - samples/sec: 16.95 - lr: 0.050000
2021-06-20 10:38:47,152 epoch 112 - iter 132/226 - loss 2.47945275 - samples/sec: 17.18 - lr: 0.050000
2021-06-20 10:39:30,347 epoch 112 - iter 154/226 - loss 2.44673960 - samples/sec: 16.30 - lr: 0.050000
2021-06-20 10:40:14,152 epoch 112 - iter 176/226 - loss 2.42503387 - samples/sec: 16.07 - lr: 0.050000
2021-06-20 10:40:56,962 epoch 112 - iter 198/226 - loss 2.41570819 - samples/sec: 16.45 - lr: 0.050000
2021-06-20 10:41:38,945 epoch 112 - iter 220/226 - loss 2.42172045 - samples/sec: 16.77 - lr: 0.050000
2021-06-20 10:41:50,232 ----------------------------------------------------------------------------------------------------
2021-06-20 10:41:50,235 EPOCH 112 done: loss 2.4160 - lr 0.0500000
2021-06-20 10:41:50,238 BAD EPOCHS (no improvement): 0
2021-06-20 10:41:50,245 ----------------------------------------------------------------------------------------------------
2021-06-20 10:42:32,582 epoch 113 - iter 22/226 - loss 2.42399270 - samples/sec: 16.63 - lr: 0.050000
2021-06-20 10:43:13,853 epoch 113 - iter 44/226 - loss 2.49182239 - samples/sec: 17.06 - lr: 0.050000
2021-06-20 10:43:59,031 epoch 113 - iter 66/226 - loss 2.47941236 - samples/sec: 15.58 - lr: 0.050000
2021-06-20 10:44:43,096 epoch 113 - iter 88/226 - loss 2.48267496 - samples/sec: 15.98 - lr: 0.050000
2021-06-20 10:45:25,980 epoch 113 - iter 110/226 - loss 2.48860255 - samples/sec: 16.42 - lr: 0.050000
2021-06-20 10:46:08,743 epoch 113 - iter 132/226 - loss 2.48934943 - samples/sec: 16.46 - lr: 0.050000
2021-06-20 10:46:49,587 epoch 113 - iter 154/226 - loss 2.50366746 - samples/sec: 17.24 - lr: 0.050000
2021-06-20 10:47:32,843 epoch 113 - iter 176/226 - loss 2.48220445 - samples/sec: 16.28 - lr: 0.050000
2021-06-20 10:48:15,346 epoch 113 - iter 198/226 - loss 2.48086452 - samples/sec: 16.57 - lr: 0.050000
2021-06-20 10:48:57,613 epoch 113 - iter 220/226 - loss 2.48277188 - samples/sec: 16.66 - lr: 0.050000
2021-06-20 10:49:07,952 ----------------------------------------------------------------------------------------------------
2021-06-20 10:49:07,955 EPOCH 113 done: loss 2.4843 - lr 0.0500000
2021-06-20 10:49:07,958 BAD EPOCHS (no improvement): 1
2021-06-20 10:49:07,971 ----------------------------------------------------------------------------------------------------
2021-06-20 10:49:50,031 epoch 114 - iter 22/226 - loss 2.31195511 - samples/sec: 16.74 - lr: 0.050000
2021-06-20 10:50:32,565 epoch 114 - iter 44/226 - loss 2.38609720 - samples/sec: 16.55 - lr: 0.050000
2021-06-20 10:51:17,730 epoch 114 - iter 66/226 - loss 2.45149127 - samples/sec: 15.59 - lr: 0.050000
2021-06-20 10:52:00,279 epoch 114 - iter 88/226 - loss 2.42734412 - samples/sec: 16.55 - lr: 0.050000
2021-06-20 10:52:41,259 epoch 114 - iter 110/226 - loss 2.39938020 - samples/sec: 17.18 - lr: 0.050000
2021-06-20 10:53:22,163 epoch 114 - iter 132/226 - loss 2.41449698 - samples/sec: 17.21 - lr: 0.050000
2021-06-20 10:54:02,987 epoch 114 - iter 154/226 - loss 2.39808178 - samples/sec: 17.25 - lr: 0.050000
2021-06-20 10:54:43,951 epoch 114 - iter 176/226 - loss 2.38377508 - samples/sec: 17.19 - lr: 0.050000
2021-06-20 10:55:28,964 epoch 114 - iter 198/226 - loss 2.41714627 - samples/sec: 15.64 - lr: 0.050000
2021-06-20 10:56:13,760 epoch 114 - iter 220/226 - loss 2.40971194 - samples/sec: 15.72 - lr: 0.050000
2021-06-20 10:56:25,390 ----------------------------------------------------------------------------------------------------
2021-06-20 10:56:25,393 EPOCH 114 done: loss 2.4176 - lr 0.0500000
2021-06-20 10:56:25,396 BAD EPOCHS (no improvement): 2
2021-06-20 10:56:25,408 ----------------------------------------------------------------------------------------------------
2021-06-20 10:57:08,796 epoch 115 - iter 22/226 - loss 2.72590252 - samples/sec: 16.23 - lr: 0.050000
2021-06-20 10:57:51,867 epoch 115 - iter 44/226 - loss 2.70904246 - samples/sec: 16.35 - lr: 0.050000
2021-06-20 10:58:34,450 epoch 115 - iter 66/226 - loss 2.60077353 - samples/sec: 16.53 - lr: 0.050000
2021-06-20 10:59:16,139 epoch 115 - iter 88/226 - loss 2.55663746 - samples/sec: 16.89 - lr: 0.050000
2021-06-20 11:00:00,385 epoch 115 - iter 110/226 - loss 2.53960552 - samples/sec: 15.91 - lr: 0.050000
2021-06-20 11:00:43,542 epoch 115 - iter 132/226 - loss 2.53599673 - samples/sec: 16.31 - lr: 0.050000
2021-06-20 11:01:24,799 epoch 115 - iter 154/226 - loss 2.54778013 - samples/sec: 17.07 - lr: 0.050000
2021-06-20 11:02:06,060 epoch 115 - iter 176/226 - loss 2.52153117 - samples/sec: 17.06 - lr: 0.050000
2021-06-20 11:02:48,262 epoch 115 - iter 198/226 - loss 2.51665997 - samples/sec: 16.68 - lr: 0.050000
2021-06-20 11:03:33,722 epoch 115 - iter 220/226 - loss 2.51423753 - samples/sec: 15.49 - lr: 0.050000
2021-06-20 11:03:44,956 ----------------------------------------------------------------------------------------------------
2021-06-20 11:03:44,958 EPOCH 115 done: loss 2.5157 - lr 0.0500000
2021-06-20 11:03:44,961 BAD EPOCHS (no improvement): 3
2021-06-20 11:03:44,969 ----------------------------------------------------------------------------------------------------
2021-06-20 11:04:25,370 epoch 116 - iter 22/226 - loss 2.39946370 - samples/sec: 17.43 - lr: 0.050000
2021-06-20 11:05:07,795 epoch 116 - iter 44/226 - loss 2.37503436 - samples/sec: 16.60 - lr: 0.050000
2021-06-20 11:05:50,243 epoch 116 - iter 66/226 - loss 2.40047277 - samples/sec: 16.59 - lr: 0.050000
2021-06-20 11:06:30,831 epoch 116 - iter 88/226 - loss 2.40509366 - samples/sec: 17.35 - lr: 0.050000
2021-06-20 11:07:16,274 epoch 116 - iter 110/226 - loss 2.38365967 - samples/sec: 15.49 - lr: 0.050000
2021-06-20 11:07:57,483 epoch 116 - iter 132/226 - loss 2.38452055 - samples/sec: 17.09 - lr: 0.050000
2021-06-20 11:08:38,795 epoch 116 - iter 154/226 - loss 2.40587617 - samples/sec: 17.04 - lr: 0.050000
2021-06-20 11:09:23,308 epoch 116 - iter 176/226 - loss 2.43168962 - samples/sec: 15.82 - lr: 0.050000
2021-06-20 11:10:05,849 epoch 116 - iter 198/226 - loss 2.42699716 - samples/sec: 16.55 - lr: 0.050000
2021-06-20 11:10:48,066 epoch 116 - iter 220/226 - loss 2.42987588 - samples/sec: 16.68 - lr: 0.050000
2021-06-20 11:10:59,923 ----------------------------------------------------------------------------------------------------
2021-06-20 11:10:59,926 EPOCH 116 done: loss 2.4156 - lr 0.0500000
2021-06-20 11:10:59,929 BAD EPOCHS (no improvement): 0
2021-06-20 11:10:59,939 ----------------------------------------------------------------------------------------------------
2021-06-20 11:11:40,803 epoch 117 - iter 22/226 - loss 2.15527396 - samples/sec: 17.23 - lr: 0.050000
2021-06-20 11:12:22,089 epoch 117 - iter 44/226 - loss 2.27231245 - samples/sec: 17.05 - lr: 0.050000
2021-06-20 11:13:05,628 epoch 117 - iter 66/226 - loss 2.40925650 - samples/sec: 16.17 - lr: 0.050000
2021-06-20 11:13:48,811 epoch 117 - iter 88/226 - loss 2.41051770 - samples/sec: 16.30 - lr: 0.050000
2021-06-20 11:14:28,237 epoch 117 - iter 110/226 - loss 2.43001448 - samples/sec: 17.86 - lr: 0.050000
2021-06-20 11:15:11,062 epoch 117 - iter 132/226 - loss 2.45636501 - samples/sec: 16.44 - lr: 0.050000
2021-06-20 11:15:54,617 epoch 117 - iter 154/226 - loss 2.45356479 - samples/sec: 16.17 - lr: 0.050000
2021-06-20 11:16:36,880 epoch 117 - iter 176/226 - loss 2.45951485 - samples/sec: 16.66 - lr: 0.050000
2021-06-20 11:17:19,648 epoch 117 - iter 198/226 - loss 2.46590088 - samples/sec: 16.46 - lr: 0.050000
2021-06-20 11:18:03,998 epoch 117 - iter 220/226 - loss 2.45636755 - samples/sec: 15.88 - lr: 0.050000
2021-06-20 11:18:14,526 ----------------------------------------------------------------------------------------------------
2021-06-20 11:18:14,528 EPOCH 117 done: loss 2.4731 - lr 0.0500000
2021-06-20 11:18:14,535 BAD EPOCHS (no improvement): 1
2021-06-20 11:18:14,547 ----------------------------------------------------------------------------------------------------
2021-06-20 11:18:54,253 epoch 118 - iter 22/226 - loss 2.26580761 - samples/sec: 17.74 - lr: 0.050000
2021-06-20 11:19:36,675 epoch 118 - iter 44/226 - loss 2.29173196 - samples/sec: 16.60 - lr: 0.050000
2021-06-20 11:20:19,102 epoch 118 - iter 66/226 - loss 2.28585500 - samples/sec: 16.60 - lr: 0.050000
2021-06-20 11:21:03,288 epoch 118 - iter 88/226 - loss 2.31593288 - samples/sec: 15.93 - lr: 0.050000
2021-06-20 11:21:45,663 epoch 118 - iter 110/226 - loss 2.31895437 - samples/sec: 16.62 - lr: 0.050000
2021-06-20 11:22:27,854 epoch 118 - iter 132/226 - loss 2.33686234 - samples/sec: 16.69 - lr: 0.050000
2021-06-20 11:23:13,008 epoch 118 - iter 154/226 - loss 2.34230075 - samples/sec: 15.59 - lr: 0.050000
2021-06-20 11:23:55,511 epoch 118 - iter 176/226 - loss 2.33533921 - samples/sec: 16.57 - lr: 0.050000
2021-06-20 11:24:38,763 epoch 118 - iter 198/226 - loss 2.34806776 - samples/sec: 16.28 - lr: 0.050000
2021-06-20 11:25:23,616 epoch 118 - iter 220/226 - loss 2.36087178 - samples/sec: 15.70 - lr: 0.050000
2021-06-20 11:25:34,709 ----------------------------------------------------------------------------------------------------
2021-06-20 11:25:34,712 EPOCH 118 done: loss 2.3693 - lr 0.0500000
2021-06-20 11:25:34,715 BAD EPOCHS (no improvement): 0
2021-06-20 11:25:34,727 ----------------------------------------------------------------------------------------------------
2021-06-20 11:26:19,520 epoch 119 - iter 22/226 - loss 2.34555325 - samples/sec: 15.72 - lr: 0.050000
2021-06-20 11:27:03,933 epoch 119 - iter 44/226 - loss 2.41752928 - samples/sec: 15.85 - lr: 0.050000
2021-06-20 11:27:45,557 epoch 119 - iter 66/226 - loss 2.36180069 - samples/sec: 16.92 - lr: 0.050000
2021-06-20 11:28:27,432 epoch 119 - iter 88/226 - loss 2.36191326 - samples/sec: 16.81 - lr: 0.050000
2021-06-20 11:29:09,203 epoch 119 - iter 110/226 - loss 2.35362456 - samples/sec: 16.86 - lr: 0.050000
2021-06-20 11:29:52,465 epoch 119 - iter 132/226 - loss 2.36874545 - samples/sec: 16.27 - lr: 0.050000
2021-06-20 11:30:32,508 epoch 119 - iter 154/226 - loss 2.35370228 - samples/sec: 17.58 - lr: 0.050000
2021-06-20 11:31:15,422 epoch 119 - iter 176/226 - loss 2.34974925 - samples/sec: 16.41 - lr: 0.050000
2021-06-20 11:31:56,543 epoch 119 - iter 198/226 - loss 2.35509465 - samples/sec: 17.12 - lr: 0.050000
2021-06-20 11:32:39,502 epoch 119 - iter 220/226 - loss 2.34979030 - samples/sec: 16.39 - lr: 0.050000
2021-06-20 11:32:51,145 ----------------------------------------------------------------------------------------------------
2021-06-20 11:32:51,150 EPOCH 119 done: loss 2.3550 - lr 0.0500000
2021-06-20 11:32:51,153 BAD EPOCHS (no improvement): 0
2021-06-20 11:32:51,160 ----------------------------------------------------------------------------------------------------
2021-06-20 11:33:35,962 epoch 120 - iter 22/226 - loss 2.41573711 - samples/sec: 15.72 - lr: 0.050000
2021-06-20 11:34:19,425 epoch 120 - iter 44/226 - loss 2.38672724 - samples/sec: 16.20 - lr: 0.050000
2021-06-20 11:35:01,649 epoch 120 - iter 66/226 - loss 2.36981365 - samples/sec: 16.67 - lr: 0.050000
2021-06-20 11:35:46,066 epoch 120 - iter 88/226 - loss 2.36381601 - samples/sec: 15.85 - lr: 0.050000
2021-06-20 11:36:27,247 epoch 120 - iter 110/226 - loss 2.38266972 - samples/sec: 17.10 - lr: 0.050000
2021-06-20 11:37:11,071 epoch 120 - iter 132/226 - loss 2.38490836 - samples/sec: 16.07 - lr: 0.050000
2021-06-20 11:37:51,714 epoch 120 - iter 154/226 - loss 2.38468614 - samples/sec: 17.32 - lr: 0.050000
2021-06-20 11:38:31,488 epoch 120 - iter 176/226 - loss 2.38019582 - samples/sec: 17.70 - lr: 0.050000
2021-06-20 11:39:14,227 epoch 120 - iter 198/226 - loss 2.39132887 - samples/sec: 16.47 - lr: 0.050000
2021-06-20 11:39:56,013 epoch 120 - iter 220/226 - loss 2.38795538 - samples/sec: 16.85 - lr: 0.050000
2021-06-20 11:40:06,974 ----------------------------------------------------------------------------------------------------
2021-06-20 11:40:06,979 EPOCH 120 done: loss 2.3810 - lr 0.0500000
2021-06-20 11:40:06,984 BAD EPOCHS (no improvement): 1
2021-06-20 11:40:06,998 ----------------------------------------------------------------------------------------------------
2021-06-20 11:40:50,447 epoch 121 - iter 22/226 - loss 2.19040226 - samples/sec: 16.21 - lr: 0.050000
2021-06-20 11:41:36,049 epoch 121 - iter 44/226 - loss 2.27931630 - samples/sec: 15.44 - lr: 0.050000
2021-06-20 11:42:20,079 epoch 121 - iter 66/226 - loss 2.34934644 - samples/sec: 15.99 - lr: 0.050000
2021-06-20 11:43:03,499 epoch 121 - iter 88/226 - loss 2.39463155 - samples/sec: 16.22 - lr: 0.050000
2021-06-20 11:43:45,438 epoch 121 - iter 110/226 - loss 2.38189598 - samples/sec: 16.79 - lr: 0.050000
2021-06-20 11:44:30,185 epoch 121 - iter 132/226 - loss 2.37116517 - samples/sec: 15.73 - lr: 0.050000
2021-06-20 11:45:12,910 epoch 121 - iter 154/226 - loss 2.37245621 - samples/sec: 16.48 - lr: 0.050000
2021-06-20 11:45:52,234 epoch 121 - iter 176/226 - loss 2.37316871 - samples/sec: 17.90 - lr: 0.050000
2021-06-20 11:46:34,384 epoch 121 - iter 198/226 - loss 2.38790941 - samples/sec: 16.71 - lr: 0.050000
2021-06-20 11:47:18,932 epoch 121 - iter 220/226 - loss 2.40372641 - samples/sec: 15.81 - lr: 0.050000
2021-06-20 11:47:29,307 ----------------------------------------------------------------------------------------------------
2021-06-20 11:47:29,310 EPOCH 121 done: loss 2.4013 - lr 0.0500000
2021-06-20 11:47:29,315 BAD EPOCHS (no improvement): 2
2021-06-20 11:47:29,323 ----------------------------------------------------------------------------------------------------
2021-06-20 11:48:13,101 epoch 122 - iter 22/226 - loss 2.57781792 - samples/sec: 16.09 - lr: 0.050000
2021-06-20 11:48:53,498 epoch 122 - iter 44/226 - loss 2.47781548 - samples/sec: 17.43 - lr: 0.050000
2021-06-20 11:49:36,294 epoch 122 - iter 66/226 - loss 2.45361935 - samples/sec: 16.45 - lr: 0.050000
2021-06-20 11:50:18,092 epoch 122 - iter 88/226 - loss 2.39709972 - samples/sec: 16.85 - lr: 0.050000
2021-06-20 11:51:02,078 epoch 122 - iter 110/226 - loss 2.37849623 - samples/sec: 16.01 - lr: 0.050000
2021-06-20 11:51:47,344 epoch 122 - iter 132/226 - loss 2.40317214 - samples/sec: 15.55 - lr: 0.050000
2021-06-20 11:52:33,467 epoch 122 - iter 154/226 - loss 2.41456345 - samples/sec: 15.27 - lr: 0.050000
2021-06-20 11:53:15,635 epoch 122 - iter 176/226 - loss 2.40479555 - samples/sec: 16.70 - lr: 0.050000
2021-06-20 11:53:59,050 epoch 122 - iter 198/226 - loss 2.39580292 - samples/sec: 16.22 - lr: 0.050000
2021-06-20 11:54:43,010 epoch 122 - iter 220/226 - loss 2.38745246 - samples/sec: 16.02 - lr: 0.050000
2021-06-20 11:54:53,003 ----------------------------------------------------------------------------------------------------
2021-06-20 11:54:53,006 EPOCH 122 done: loss 2.3823 - lr 0.0500000
2021-06-20 11:54:53,008 BAD EPOCHS (no improvement): 3
2021-06-20 11:54:53,018 ----------------------------------------------------------------------------------------------------
2021-06-20 11:55:36,195 epoch 123 - iter 22/226 - loss 2.42899588 - samples/sec: 16.31 - lr: 0.050000
2021-06-20 11:56:20,692 epoch 123 - iter 44/226 - loss 2.43295651 - samples/sec: 15.82 - lr: 0.050000
2021-06-20 11:57:00,395 epoch 123 - iter 66/226 - loss 2.38495833 - samples/sec: 17.74 - lr: 0.050000
2021-06-20 11:57:43,119 epoch 123 - iter 88/226 - loss 2.42557446 - samples/sec: 16.48 - lr: 0.050000
2021-06-20 11:58:26,331 epoch 123 - iter 110/226 - loss 2.39522424 - samples/sec: 16.29 - lr: 0.050000
2021-06-20 11:59:11,006 epoch 123 - iter 132/226 - loss 2.35710636 - samples/sec: 15.76 - lr: 0.050000
2021-06-20 11:59:52,968 epoch 123 - iter 154/226 - loss 2.34157634 - samples/sec: 16.78 - lr: 0.050000
2021-06-20 12:00:36,762 epoch 123 - iter 176/226 - loss 2.35042770 - samples/sec: 16.08 - lr: 0.050000
2021-06-20 12:01:18,832 epoch 123 - iter 198/226 - loss 2.33924544 - samples/sec: 16.74 - lr: 0.050000
2021-06-20 12:02:01,987 epoch 123 - iter 220/226 - loss 2.34606923 - samples/sec: 16.32 - lr: 0.050000
2021-06-20 12:02:13,678 ----------------------------------------------------------------------------------------------------
2021-06-20 12:02:13,681 EPOCH 123 done: loss 2.3564 - lr 0.0500000
2021-06-20 12:02:13,684 BAD EPOCHS (no improvement): 4
2021-06-20 12:02:13,699 ----------------------------------------------------------------------------------------------------
2021-06-20 12:02:56,467 epoch 124 - iter 22/226 - loss 2.38590505 - samples/sec: 16.46 - lr: 0.025000
2021-06-20 12:03:40,104 epoch 124 - iter 44/226 - loss 2.36915826 - samples/sec: 16.14 - lr: 0.025000
2021-06-20 12:04:26,199 epoch 124 - iter 66/226 - loss 2.33024785 - samples/sec: 15.27 - lr: 0.025000
2021-06-20 12:05:08,179 epoch 124 - iter 88/226 - loss 2.30451782 - samples/sec: 16.77 - lr: 0.025000
2021-06-20 12:05:48,720 epoch 124 - iter 110/226 - loss 2.32423645 - samples/sec: 17.37 - lr: 0.025000
2021-06-20 12:06:32,419 epoch 124 - iter 132/226 - loss 2.33508730 - samples/sec: 16.11 - lr: 0.025000
2021-06-20 12:07:14,333 epoch 124 - iter 154/226 - loss 2.33774628 - samples/sec: 16.80 - lr: 0.025000
2021-06-20 12:07:56,863 epoch 124 - iter 176/226 - loss 2.34602473 - samples/sec: 16.56 - lr: 0.025000
2021-06-20 12:08:38,140 epoch 124 - iter 198/226 - loss 2.35897675 - samples/sec: 17.06 - lr: 0.025000
2021-06-20 12:09:21,566 epoch 124 - iter 220/226 - loss 2.35263446 - samples/sec: 16.21 - lr: 0.025000
2021-06-20 12:09:33,543 ----------------------------------------------------------------------------------------------------
2021-06-20 12:09:33,546 EPOCH 124 done: loss 2.3515 - lr 0.0250000
2021-06-20 12:09:33,548 BAD EPOCHS (no improvement): 0
2021-06-20 12:09:33,564 ----------------------------------------------------------------------------------------------------
2021-06-20 12:10:16,801 epoch 125 - iter 22/226 - loss 2.27171704 - samples/sec: 16.29 - lr: 0.025000
2021-06-20 12:10:57,405 epoch 125 - iter 44/226 - loss 2.22661566 - samples/sec: 17.34 - lr: 0.025000
2021-06-20 12:11:42,331 epoch 125 - iter 66/226 - loss 2.23321478 - samples/sec: 15.67 - lr: 0.025000
2021-06-20 12:12:24,507 epoch 125 - iter 88/226 - loss 2.25910769 - samples/sec: 16.69 - lr: 0.025000
2021-06-20 12:13:07,993 epoch 125 - iter 110/226 - loss 2.22985190 - samples/sec: 16.19 - lr: 0.025000
2021-06-20 12:13:51,388 epoch 125 - iter 132/226 - loss 2.26298566 - samples/sec: 16.23 - lr: 0.025000
2021-06-20 12:14:34,545 epoch 125 - iter 154/226 - loss 2.25843367 - samples/sec: 16.31 - lr: 0.025000
2021-06-20 12:15:18,796 epoch 125 - iter 176/226 - loss 2.26944394 - samples/sec: 15.91 - lr: 0.025000
2021-06-20 12:16:02,461 epoch 125 - iter 198/226 - loss 2.25713542 - samples/sec: 16.12 - lr: 0.025000
2021-06-20 12:16:43,380 epoch 125 - iter 220/226 - loss 2.25134262 - samples/sec: 17.21 - lr: 0.025000
2021-06-20 12:16:55,292 ----------------------------------------------------------------------------------------------------
2021-06-20 12:16:55,294 EPOCH 125 done: loss 2.2621 - lr 0.0250000
2021-06-20 12:16:55,297 BAD EPOCHS (no improvement): 0
2021-06-20 12:16:55,311 ----------------------------------------------------------------------------------------------------
2021-06-20 12:17:36,488 epoch 126 - iter 22/226 - loss 2.12745261 - samples/sec: 17.10 - lr: 0.025000
2021-06-20 12:18:17,585 epoch 126 - iter 44/226 - loss 2.21867594 - samples/sec: 17.13 - lr: 0.025000
2021-06-20 12:19:02,769 epoch 126 - iter 66/226 - loss 2.21208153 - samples/sec: 15.58 - lr: 0.025000
2021-06-20 12:19:47,473 epoch 126 - iter 88/226 - loss 2.23284734 - samples/sec: 15.75 - lr: 0.025000
2021-06-20 12:20:31,643 epoch 126 - iter 110/226 - loss 2.24130239 - samples/sec: 15.94 - lr: 0.025000
2021-06-20 12:21:15,155 epoch 126 - iter 132/226 - loss 2.25763895 - samples/sec: 16.18 - lr: 0.025000
2021-06-20 12:21:57,137 epoch 126 - iter 154/226 - loss 2.25110737 - samples/sec: 16.77 - lr: 0.025000
2021-06-20 12:22:40,892 epoch 126 - iter 176/226 - loss 2.26326230 - samples/sec: 16.09 - lr: 0.025000
2021-06-20 12:23:23,874 epoch 126 - iter 198/226 - loss 2.25447031 - samples/sec: 16.38 - lr: 0.025000
2021-06-20 12:24:09,337 epoch 126 - iter 220/226 - loss 2.27956514 - samples/sec: 15.49 - lr: 0.025000
2021-06-20 12:24:18,776 ----------------------------------------------------------------------------------------------------
2021-06-20 12:24:18,779 EPOCH 126 done: loss 2.2854 - lr 0.0250000
2021-06-20 12:24:18,782 BAD EPOCHS (no improvement): 1
2021-06-20 12:24:18,794 ----------------------------------------------------------------------------------------------------
2021-06-20 12:25:01,258 epoch 127 - iter 22/226 - loss 2.13465066 - samples/sec: 16.58 - lr: 0.025000
2021-06-20 12:25:42,684 epoch 127 - iter 44/226 - loss 2.14811994 - samples/sec: 17.00 - lr: 0.025000
2021-06-20 12:26:27,232 epoch 127 - iter 66/226 - loss 2.21404760 - samples/sec: 15.81 - lr: 0.025000
2021-06-20 12:27:09,369 epoch 127 - iter 88/226 - loss 2.20022447 - samples/sec: 16.71 - lr: 0.025000
2021-06-20 12:27:51,620 epoch 127 - iter 110/226 - loss 2.20954142 - samples/sec: 16.66 - lr: 0.025000
2021-06-20 12:28:35,588 epoch 127 - iter 132/226 - loss 2.25462646 - samples/sec: 16.01 - lr: 0.025000
2021-06-20 12:29:18,192 epoch 127 - iter 154/226 - loss 2.26974974 - samples/sec: 16.53 - lr: 0.025000
2021-06-20 12:30:03,084 epoch 127 - iter 176/226 - loss 2.25118288 - samples/sec: 15.68 - lr: 0.025000
2021-06-20 12:30:45,698 epoch 127 - iter 198/226 - loss 2.24713935 - samples/sec: 16.52 - lr: 0.025000
2021-06-20 12:31:28,877 epoch 127 - iter 220/226 - loss 2.25903171 - samples/sec: 16.31 - lr: 0.025000
2021-06-20 12:31:40,300 ----------------------------------------------------------------------------------------------------
2021-06-20 12:31:40,303 EPOCH 127 done: loss 2.2687 - lr 0.0250000
2021-06-20 12:31:40,306 BAD EPOCHS (no improvement): 2
2021-06-20 12:31:40,319 ----------------------------------------------------------------------------------------------------
2021-06-20 12:32:23,622 epoch 128 - iter 22/226 - loss 2.26953616 - samples/sec: 16.26 - lr: 0.025000
2021-06-20 12:33:08,249 epoch 128 - iter 44/226 - loss 2.30980149 - samples/sec: 15.78 - lr: 0.025000
2021-06-20 12:33:51,228 epoch 128 - iter 66/226 - loss 2.21211625 - samples/sec: 16.38 - lr: 0.025000
2021-06-20 12:34:32,146 epoch 128 - iter 88/226 - loss 2.22773338 - samples/sec: 17.21 - lr: 0.025000
2021-06-20 12:35:15,898 epoch 128 - iter 110/226 - loss 2.22218644 - samples/sec: 16.09 - lr: 0.025000
2021-06-20 12:35:55,374 epoch 128 - iter 132/226 - loss 2.20464906 - samples/sec: 17.84 - lr: 0.025000
2021-06-20 12:36:43,289 epoch 128 - iter 154/226 - loss 2.24208643 - samples/sec: 14.69 - lr: 0.025000
2021-06-20 12:37:24,860 epoch 128 - iter 176/226 - loss 2.26838774 - samples/sec: 16.94 - lr: 0.025000
2021-06-20 12:38:07,902 epoch 128 - iter 198/226 - loss 2.25814137 - samples/sec: 16.36 - lr: 0.025000
2021-06-20 12:38:53,315 epoch 128 - iter 220/226 - loss 2.27096072 - samples/sec: 15.50 - lr: 0.025000
2021-06-20 12:39:05,470 ----------------------------------------------------------------------------------------------------
2021-06-20 12:39:05,473 EPOCH 128 done: loss 2.2558 - lr 0.0250000
2021-06-20 12:39:05,475 BAD EPOCHS (no improvement): 0
2021-06-20 12:39:05,482 ----------------------------------------------------------------------------------------------------
2021-06-20 12:39:50,944 epoch 129 - iter 22/226 - loss 2.38640573 - samples/sec: 15.49 - lr: 0.025000
2021-06-20 12:40:32,057 epoch 129 - iter 44/226 - loss 2.30273287 - samples/sec: 17.13 - lr: 0.025000
2021-06-20 12:41:13,497 epoch 129 - iter 66/226 - loss 2.34070474 - samples/sec: 16.99 - lr: 0.025000
2021-06-20 12:41:58,556 epoch 129 - iter 88/226 - loss 2.33894395 - samples/sec: 15.63 - lr: 0.025000
2021-06-20 12:42:38,198 epoch 129 - iter 110/226 - loss 2.29815732 - samples/sec: 17.76 - lr: 0.025000
2021-06-20 12:43:21,724 epoch 129 - iter 132/226 - loss 2.27570539 - samples/sec: 16.18 - lr: 0.025000
2021-06-20 12:44:05,705 epoch 129 - iter 154/226 - loss 2.26195522 - samples/sec: 16.01 - lr: 0.025000
2021-06-20 12:44:49,078 epoch 129 - iter 176/226 - loss 2.26043177 - samples/sec: 16.23 - lr: 0.025000
2021-06-20 12:45:35,486 epoch 129 - iter 198/226 - loss 2.26231162 - samples/sec: 15.17 - lr: 0.025000
2021-06-20 12:46:17,509 epoch 129 - iter 220/226 - loss 2.26598741 - samples/sec: 16.76 - lr: 0.025000
2021-06-20 12:46:27,688 ----------------------------------------------------------------------------------------------------
2021-06-20 12:46:27,690 EPOCH 129 done: loss 2.2603 - lr 0.0250000
2021-06-20 12:46:27,697 BAD EPOCHS (no improvement): 1
2021-06-20 12:46:27,708 ----------------------------------------------------------------------------------------------------
2021-06-20 12:47:10,302 epoch 130 - iter 22/226 - loss 2.22407031 - samples/sec: 16.53 - lr: 0.025000
2021-06-20 12:47:50,095 epoch 130 - iter 44/226 - loss 2.15334698 - samples/sec: 17.69 - lr: 0.025000
2021-06-20 12:48:32,309 epoch 130 - iter 66/226 - loss 2.22594338 - samples/sec: 16.68 - lr: 0.025000
2021-06-20 12:49:15,478 epoch 130 - iter 88/226 - loss 2.19966559 - samples/sec: 16.31 - lr: 0.025000
2021-06-20 12:49:59,654 epoch 130 - iter 110/226 - loss 2.21527281 - samples/sec: 15.94 - lr: 0.025000
2021-06-20 12:50:44,666 epoch 130 - iter 132/226 - loss 2.19623429 - samples/sec: 15.64 - lr: 0.025000
2021-06-20 12:51:25,761 epoch 130 - iter 154/226 - loss 2.20246956 - samples/sec: 17.13 - lr: 0.025000
2021-06-20 12:52:08,699 epoch 130 - iter 176/226 - loss 2.21535366 - samples/sec: 16.40 - lr: 0.025000
2021-06-20 12:52:52,118 epoch 130 - iter 198/226 - loss 2.22178983 - samples/sec: 16.22 - lr: 0.025000
2021-06-20 12:53:34,192 epoch 130 - iter 220/226 - loss 2.21245166 - samples/sec: 16.73 - lr: 0.025000
2021-06-20 12:53:48,431 ----------------------------------------------------------------------------------------------------
2021-06-20 12:53:48,434 EPOCH 130 done: loss 2.2163 - lr 0.0250000
2021-06-20 12:53:48,439 BAD EPOCHS (no improvement): 0
2021-06-20 12:53:48,447 ----------------------------------------------------------------------------------------------------
2021-06-20 12:54:33,216 epoch 131 - iter 22/226 - loss 2.22668716 - samples/sec: 15.73 - lr: 0.025000
2021-06-20 12:55:14,899 epoch 131 - iter 44/226 - loss 2.24838800 - samples/sec: 16.89 - lr: 0.025000
2021-06-20 12:55:58,566 epoch 131 - iter 66/226 - loss 2.20229480 - samples/sec: 16.12 - lr: 0.025000
2021-06-20 12:56:44,707 epoch 131 - iter 88/226 - loss 2.23715975 - samples/sec: 15.26 - lr: 0.025000
2021-06-20 12:57:28,014 epoch 131 - iter 110/226 - loss 2.23437574 - samples/sec: 16.26 - lr: 0.025000
2021-06-20 12:58:10,697 epoch 131 - iter 132/226 - loss 2.24911650 - samples/sec: 16.50 - lr: 0.025000
2021-06-20 12:58:52,518 epoch 131 - iter 154/226 - loss 2.23753885 - samples/sec: 16.84 - lr: 0.025000
2021-06-20 12:59:35,658 epoch 131 - iter 176/226 - loss 2.22622884 - samples/sec: 16.32 - lr: 0.025000
2021-06-20 13:00:15,661 epoch 131 - iter 198/226 - loss 2.24404433 - samples/sec: 17.60 - lr: 0.025000
2021-06-20 13:01:01,497 epoch 131 - iter 220/226 - loss 2.22524265 - samples/sec: 15.36 - lr: 0.025000
2021-06-20 13:01:13,908 ----------------------------------------------------------------------------------------------------
2021-06-20 13:01:13,910 EPOCH 131 done: loss 2.2240 - lr 0.0250000
2021-06-20 13:01:13,913 BAD EPOCHS (no improvement): 1
2021-06-20 13:01:13,922 ----------------------------------------------------------------------------------------------------
2021-06-20 13:01:56,097 epoch 132 - iter 22/226 - loss 2.20078479 - samples/sec: 16.70 - lr: 0.025000
2021-06-20 13:02:40,847 epoch 132 - iter 44/226 - loss 2.26066384 - samples/sec: 15.73 - lr: 0.025000
2021-06-20 13:03:24,826 epoch 132 - iter 66/226 - loss 2.26024212 - samples/sec: 16.01 - lr: 0.025000
2021-06-20 13:04:07,642 epoch 132 - iter 88/226 - loss 2.25694836 - samples/sec: 16.44 - lr: 0.025000
2021-06-20 13:04:50,574 epoch 132 - iter 110/226 - loss 2.24661946 - samples/sec: 16.40 - lr: 0.025000
2021-06-20 13:05:33,682 epoch 132 - iter 132/226 - loss 2.25258231 - samples/sec: 16.33 - lr: 0.025000
2021-06-20 13:06:15,363 epoch 132 - iter 154/226 - loss 2.20266938 - samples/sec: 16.89 - lr: 0.025000
2021-06-20 13:06:58,686 epoch 132 - iter 176/226 - loss 2.20210144 - samples/sec: 16.25 - lr: 0.025000
2021-06-20 13:07:38,736 epoch 132 - iter 198/226 - loss 2.17908200 - samples/sec: 17.58 - lr: 0.025000
2021-06-20 13:08:24,576 epoch 132 - iter 220/226 - loss 2.18500801 - samples/sec: 15.36 - lr: 0.025000
2021-06-20 13:08:36,041 ----------------------------------------------------------------------------------------------------
2021-06-20 13:08:36,044 EPOCH 132 done: loss 2.1866 - lr 0.0250000
2021-06-20 13:08:36,046 BAD EPOCHS (no improvement): 0
2021-06-20 13:08:36,055 ----------------------------------------------------------------------------------------------------
2021-06-20 13:09:18,827 epoch 133 - iter 22/226 - loss 2.31608794 - samples/sec: 16.46 - lr: 0.025000
2021-06-20 13:10:02,984 epoch 133 - iter 44/226 - loss 2.33746198 - samples/sec: 15.95 - lr: 0.025000
2021-06-20 13:10:44,581 epoch 133 - iter 66/226 - loss 2.18234411 - samples/sec: 16.93 - lr: 0.025000
2021-06-20 13:11:25,911 epoch 133 - iter 88/226 - loss 2.20835562 - samples/sec: 17.04 - lr: 0.025000
2021-06-20 13:12:08,275 epoch 133 - iter 110/226 - loss 2.18576971 - samples/sec: 16.62 - lr: 0.025000
2021-06-20 13:12:52,878 epoch 133 - iter 132/226 - loss 2.17620205 - samples/sec: 15.79 - lr: 0.025000
2021-06-20 13:13:35,607 epoch 133 - iter 154/226 - loss 2.17806622 - samples/sec: 16.48 - lr: 0.025000
2021-06-20 13:14:16,901 epoch 133 - iter 176/226 - loss 2.18033881 - samples/sec: 17.05 - lr: 0.025000
2021-06-20 13:15:00,513 epoch 133 - iter 198/226 - loss 2.19249738 - samples/sec: 16.15 - lr: 0.025000
2021-06-20 13:15:44,583 epoch 133 - iter 220/226 - loss 2.20147500 - samples/sec: 15.98 - lr: 0.025000
2021-06-20 13:15:56,887 ----------------------------------------------------------------------------------------------------
2021-06-20 13:15:56,889 EPOCH 133 done: loss 2.2003 - lr 0.0250000
2021-06-20 13:15:56,895 BAD EPOCHS (no improvement): 1
2021-06-20 13:15:56,907 ----------------------------------------------------------------------------------------------------
2021-06-20 13:16:37,342 epoch 134 - iter 22/226 - loss 2.11242497 - samples/sec: 17.41 - lr: 0.025000
2021-06-20 13:17:20,710 epoch 134 - iter 44/226 - loss 2.09026433 - samples/sec: 16.24 - lr: 0.025000
2021-06-20 13:18:03,890 epoch 134 - iter 66/226 - loss 2.12358560 - samples/sec: 16.31 - lr: 0.025000
2021-06-20 13:18:47,413 epoch 134 - iter 88/226 - loss 2.14780176 - samples/sec: 16.18 - lr: 0.025000
2021-06-20 13:19:28,093 epoch 134 - iter 110/226 - loss 2.09827614 - samples/sec: 17.31 - lr: 0.025000
2021-06-20 13:20:11,359 epoch 134 - iter 132/226 - loss 2.14200098 - samples/sec: 16.27 - lr: 0.025000
2021-06-20 13:20:55,043 epoch 134 - iter 154/226 - loss 2.14346449 - samples/sec: 16.12 - lr: 0.025000
2021-06-20 13:21:39,164 epoch 134 - iter 176/226 - loss 2.15671083 - samples/sec: 15.96 - lr: 0.025000
2021-06-20 13:22:21,605 epoch 134 - iter 198/226 - loss 2.16647380 - samples/sec: 16.59 - lr: 0.025000
2021-06-20 13:23:04,271 epoch 134 - iter 220/226 - loss 2.16066557 - samples/sec: 16.50 - lr: 0.025000
2021-06-20 13:23:14,909 ----------------------------------------------------------------------------------------------------
2021-06-20 13:23:14,912 EPOCH 134 done: loss 2.1571 - lr 0.0250000
2021-06-20 13:23:14,916 BAD EPOCHS (no improvement): 0
2021-06-20 13:23:14,932 ----------------------------------------------------------------------------------------------------
2021-06-20 13:23:56,522 epoch 135 - iter 22/226 - loss 2.02976394 - samples/sec: 16.93 - lr: 0.025000
2021-06-20 13:24:39,493 epoch 135 - iter 44/226 - loss 2.08521961 - samples/sec: 16.39 - lr: 0.025000
2021-06-20 13:25:20,830 epoch 135 - iter 66/226 - loss 2.07535586 - samples/sec: 17.03 - lr: 0.025000
2021-06-20 13:26:03,419 epoch 135 - iter 88/226 - loss 2.08849847 - samples/sec: 16.53 - lr: 0.025000
2021-06-20 13:26:49,617 epoch 135 - iter 110/226 - loss 2.11721296 - samples/sec: 15.24 - lr: 0.025000
2021-06-20 13:27:33,962 epoch 135 - iter 132/226 - loss 2.14197382 - samples/sec: 15.88 - lr: 0.025000
2021-06-20 13:28:18,563 epoch 135 - iter 154/226 - loss 2.17118673 - samples/sec: 15.79 - lr: 0.025000
2021-06-20 13:29:00,947 epoch 135 - iter 176/226 - loss 2.17682049 - samples/sec: 16.61 - lr: 0.025000
2021-06-20 13:29:44,733 epoch 135 - iter 198/226 - loss 2.19242541 - samples/sec: 16.08 - lr: 0.025000
2021-06-20 13:30:25,370 epoch 135 - iter 220/226 - loss 2.20118373 - samples/sec: 17.33 - lr: 0.025000
2021-06-20 13:30:36,309 ----------------------------------------------------------------------------------------------------
2021-06-20 13:30:36,312 EPOCH 135 done: loss 2.2122 - lr 0.0250000
2021-06-20 13:30:36,315 BAD EPOCHS (no improvement): 1
2021-06-20 13:30:36,328 ----------------------------------------------------------------------------------------------------
2021-06-20 13:31:17,858 epoch 136 - iter 22/226 - loss 2.24003340 - samples/sec: 16.95 - lr: 0.025000
2021-06-20 13:32:04,233 epoch 136 - iter 44/226 - loss 2.26875255 - samples/sec: 15.18 - lr: 0.025000
2021-06-20 13:32:47,027 epoch 136 - iter 66/226 - loss 2.23649503 - samples/sec: 16.45 - lr: 0.025000
2021-06-20 13:33:27,890 epoch 136 - iter 88/226 - loss 2.19308800 - samples/sec: 17.23 - lr: 0.025000
2021-06-20 13:34:10,587 epoch 136 - iter 110/226 - loss 2.19165007 - samples/sec: 16.49 - lr: 0.025000
2021-06-20 13:34:51,118 epoch 136 - iter 132/226 - loss 2.18967759 - samples/sec: 17.37 - lr: 0.025000
2021-06-20 13:35:32,003 epoch 136 - iter 154/226 - loss 2.16896146 - samples/sec: 17.22 - lr: 0.025000
2021-06-20 13:36:15,919 epoch 136 - iter 176/226 - loss 2.15242211 - samples/sec: 16.03 - lr: 0.025000
2021-06-20 13:36:59,688 epoch 136 - iter 198/226 - loss 2.17904814 - samples/sec: 16.09 - lr: 0.025000
2021-06-20 13:37:45,138 epoch 136 - iter 220/226 - loss 2.17888810 - samples/sec: 15.49 - lr: 0.025000
2021-06-20 13:37:55,817 ----------------------------------------------------------------------------------------------------
2021-06-20 13:37:55,820 EPOCH 136 done: loss 2.1830 - lr 0.0250000
2021-06-20 13:37:55,822 BAD EPOCHS (no improvement): 2
2021-06-20 13:37:55,835 ----------------------------------------------------------------------------------------------------
2021-06-20 13:38:36,105 epoch 137 - iter 22/226 - loss 2.13914304 - samples/sec: 17.48 - lr: 0.025000
2021-06-20 13:39:16,273 epoch 137 - iter 44/226 - loss 2.09785819 - samples/sec: 17.53 - lr: 0.025000
2021-06-20 13:40:00,761 epoch 137 - iter 66/226 - loss 2.14257366 - samples/sec: 15.83 - lr: 0.025000
2021-06-20 13:40:44,755 epoch 137 - iter 88/226 - loss 2.13407298 - samples/sec: 16.00 - lr: 0.025000
2021-06-20 13:41:28,895 epoch 137 - iter 110/226 - loss 2.11185062 - samples/sec: 15.95 - lr: 0.025000
2021-06-20 13:42:12,493 epoch 137 - iter 132/226 - loss 2.12987655 - samples/sec: 16.15 - lr: 0.025000
2021-06-20 13:42:54,019 epoch 137 - iter 154/226 - loss 2.13673026 - samples/sec: 16.96 - lr: 0.025000
2021-06-20 13:43:32,381 epoch 137 - iter 176/226 - loss 2.13133812 - samples/sec: 18.35 - lr: 0.025000
2021-06-20 13:44:16,869 epoch 137 - iter 198/226 - loss 2.13827070 - samples/sec: 15.83 - lr: 0.025000
2021-06-20 13:44:57,259 epoch 137 - iter 220/226 - loss 2.15968089 - samples/sec: 17.43 - lr: 0.025000
2021-06-20 13:45:07,473 ----------------------------------------------------------------------------------------------------
2021-06-20 13:45:07,476 EPOCH 137 done: loss 2.1681 - lr 0.0250000
2021-06-20 13:45:07,479 BAD EPOCHS (no improvement): 3
2021-06-20 13:45:07,491 ----------------------------------------------------------------------------------------------------
2021-06-20 13:45:51,723 epoch 138 - iter 22/226 - loss 2.19399570 - samples/sec: 15.92 - lr: 0.025000
2021-06-20 13:46:32,954 epoch 138 - iter 44/226 - loss 2.09580182 - samples/sec: 17.08 - lr: 0.025000
2021-06-20 13:47:15,620 epoch 138 - iter 66/226 - loss 2.07819362 - samples/sec: 16.50 - lr: 0.025000
2021-06-20 13:47:55,957 epoch 138 - iter 88/226 - loss 2.11361395 - samples/sec: 17.46 - lr: 0.025000
2021-06-20 13:48:37,859 epoch 138 - iter 110/226 - loss 2.12878031 - samples/sec: 16.80 - lr: 0.025000
2021-06-20 13:49:22,421 epoch 138 - iter 132/226 - loss 2.14127826 - samples/sec: 15.80 - lr: 0.025000
2021-06-20 13:50:04,734 epoch 138 - iter 154/226 - loss 2.16985827 - samples/sec: 16.64 - lr: 0.025000
2021-06-20 13:50:48,146 epoch 138 - iter 176/226 - loss 2.16148058 - samples/sec: 16.22 - lr: 0.025000
2021-06-20 13:51:31,514 epoch 138 - iter 198/226 - loss 2.16007555 - samples/sec: 16.24 - lr: 0.025000
2021-06-20 13:52:14,341 epoch 138 - iter 220/226 - loss 2.16490748 - samples/sec: 16.44 - lr: 0.025000
2021-06-20 13:52:24,358 ----------------------------------------------------------------------------------------------------
2021-06-20 13:52:24,363 EPOCH 138 done: loss 2.1572 - lr 0.0250000
2021-06-20 13:52:24,366 BAD EPOCHS (no improvement): 4
2021-06-20 13:52:24,373 ----------------------------------------------------------------------------------------------------
2021-06-20 13:53:07,925 epoch 139 - iter 22/226 - loss 2.26974162 - samples/sec: 16.17 - lr: 0.012500
2021-06-20 13:53:50,706 epoch 139 - iter 44/226 - loss 2.10014708 - samples/sec: 16.46 - lr: 0.012500
2021-06-20 13:54:31,193 epoch 139 - iter 66/226 - loss 2.05845330 - samples/sec: 17.39 - lr: 0.012500
2021-06-20 13:55:14,941 epoch 139 - iter 88/226 - loss 2.06824028 - samples/sec: 16.09 - lr: 0.012500
2021-06-20 13:55:57,715 epoch 139 - iter 110/226 - loss 2.05350401 - samples/sec: 16.46 - lr: 0.012500
2021-06-20 13:56:39,006 epoch 139 - iter 132/226 - loss 2.06310985 - samples/sec: 17.05 - lr: 0.012500
2021-06-20 13:57:21,616 epoch 139 - iter 154/226 - loss 2.08525669 - samples/sec: 16.52 - lr: 0.012500
2021-06-20 13:58:05,719 epoch 139 - iter 176/226 - loss 2.10377986 - samples/sec: 15.96 - lr: 0.012500
2021-06-20 13:58:46,637 epoch 139 - iter 198/226 - loss 2.10099388 - samples/sec: 17.21 - lr: 0.012500
2021-06-20 13:59:31,886 epoch 139 - iter 220/226 - loss 2.10605547 - samples/sec: 15.56 - lr: 0.012500
2021-06-20 13:59:42,571 ----------------------------------------------------------------------------------------------------
2021-06-20 13:59:42,574 EPOCH 139 done: loss 2.1092 - lr 0.0125000
2021-06-20 13:59:42,577 BAD EPOCHS (no improvement): 0
2021-06-20 13:59:42,585 ----------------------------------------------------------------------------------------------------
2021-06-20 14:00:26,376 epoch 140 - iter 22/226 - loss 2.16266837 - samples/sec: 16.08 - lr: 0.012500
2021-06-20 14:01:10,734 epoch 140 - iter 44/226 - loss 2.18583574 - samples/sec: 15.87 - lr: 0.012500
2021-06-20 14:01:51,837 epoch 140 - iter 66/226 - loss 2.14353238 - samples/sec: 17.13 - lr: 0.012500
2021-06-20 14:02:31,608 epoch 140 - iter 88/226 - loss 2.11189264 - samples/sec: 17.70 - lr: 0.012500
2021-06-20 14:03:13,771 epoch 140 - iter 110/226 - loss 2.10760917 - samples/sec: 16.70 - lr: 0.012500
2021-06-20 14:03:57,688 epoch 140 - iter 132/226 - loss 2.11797989 - samples/sec: 16.03 - lr: 0.012500
2021-06-20 14:04:40,973 epoch 140 - iter 154/226 - loss 2.12904078 - samples/sec: 16.27 - lr: 0.012500
2021-06-20 14:05:22,479 epoch 140 - iter 176/226 - loss 2.12452182 - samples/sec: 16.96 - lr: 0.012500
2021-06-20 14:06:06,618 epoch 140 - iter 198/226 - loss 2.13619324 - samples/sec: 15.95 - lr: 0.012500
2021-06-20 14:06:51,643 epoch 140 - iter 220/226 - loss 2.13880016 - samples/sec: 15.64 - lr: 0.012500
2021-06-20 14:07:02,485 ----------------------------------------------------------------------------------------------------
2021-06-20 14:07:02,487 EPOCH 140 done: loss 2.1463 - lr 0.0125000
2021-06-20 14:07:02,490 BAD EPOCHS (no improvement): 1
2021-06-20 14:07:02,499 ----------------------------------------------------------------------------------------------------
2021-06-20 14:07:48,326 epoch 141 - iter 22/226 - loss 2.10734994 - samples/sec: 15.36 - lr: 0.012500
2021-06-20 14:08:29,427 epoch 141 - iter 44/226 - loss 2.11148466 - samples/sec: 17.13 - lr: 0.012500
2021-06-20 14:09:11,757 epoch 141 - iter 66/226 - loss 2.08418243 - samples/sec: 16.63 - lr: 0.012500
2021-06-20 14:09:52,962 epoch 141 - iter 88/226 - loss 2.08466611 - samples/sec: 17.09 - lr: 0.012500
2021-06-20 14:10:35,142 epoch 141 - iter 110/226 - loss 2.06323048 - samples/sec: 16.69 - lr: 0.012500
2021-06-20 14:11:15,687 epoch 141 - iter 132/226 - loss 2.07630201 - samples/sec: 17.37 - lr: 0.012500
2021-06-20 14:12:01,289 epoch 141 - iter 154/226 - loss 2.08789024 - samples/sec: 15.44 - lr: 0.012500
2021-06-20 14:12:44,874 epoch 141 - iter 176/226 - loss 2.09424912 - samples/sec: 16.16 - lr: 0.012500
2021-06-20 14:13:28,806 epoch 141 - iter 198/226 - loss 2.09730550 - samples/sec: 16.03 - lr: 0.012500
2021-06-20 14:14:11,970 epoch 141 - iter 220/226 - loss 2.11062788 - samples/sec: 16.31 - lr: 0.012500
2021-06-20 14:14:22,502 ----------------------------------------------------------------------------------------------------
2021-06-20 14:14:22,504 EPOCH 141 done: loss 2.1058 - lr 0.0125000
2021-06-20 14:14:22,508 BAD EPOCHS (no improvement): 0
2021-06-20 14:14:22,519 ----------------------------------------------------------------------------------------------------
2021-06-20 14:15:04,818 epoch 142 - iter 22/226 - loss 2.15346564 - samples/sec: 16.65 - lr: 0.012500
2021-06-20 14:15:48,044 epoch 142 - iter 44/226 - loss 2.03791101 - samples/sec: 16.29 - lr: 0.012500
2021-06-20 14:16:30,626 epoch 142 - iter 66/226 - loss 2.04331342 - samples/sec: 16.54 - lr: 0.012500
2021-06-20 14:17:13,551 epoch 142 - iter 88/226 - loss 2.10727226 - samples/sec: 16.40 - lr: 0.012500
2021-06-20 14:17:57,750 epoch 142 - iter 110/226 - loss 2.13750646 - samples/sec: 15.93 - lr: 0.012500
2021-06-20 14:18:41,293 epoch 142 - iter 132/226 - loss 2.16791931 - samples/sec: 16.17 - lr: 0.012500
2021-06-20 14:19:22,067 epoch 142 - iter 154/226 - loss 2.18220141 - samples/sec: 17.27 - lr: 0.012500
2021-06-20 14:20:05,399 epoch 142 - iter 176/226 - loss 2.16428780 - samples/sec: 16.25 - lr: 0.012500
2021-06-20 14:20:49,323 epoch 142 - iter 198/226 - loss 2.16069513 - samples/sec: 16.03 - lr: 0.012500
2021-06-20 14:21:29,665 epoch 142 - iter 220/226 - loss 2.15317218 - samples/sec: 17.45 - lr: 0.012500
2021-06-20 14:21:40,536 ----------------------------------------------------------------------------------------------------
2021-06-20 14:21:40,539 EPOCH 142 done: loss 2.1559 - lr 0.0125000
2021-06-20 14:21:40,543 BAD EPOCHS (no improvement): 1
2021-06-20 14:21:40,552 ----------------------------------------------------------------------------------------------------
2021-06-20 14:22:25,900 epoch 143 - iter 22/226 - loss 2.14517734 - samples/sec: 15.53 - lr: 0.012500
2021-06-20 14:23:08,413 epoch 143 - iter 44/226 - loss 2.04793783 - samples/sec: 16.56 - lr: 0.012500
2021-06-20 14:23:48,938 epoch 143 - iter 66/226 - loss 2.14150775 - samples/sec: 17.37 - lr: 0.012500
2021-06-20 14:24:33,081 epoch 143 - iter 88/226 - loss 2.10969840 - samples/sec: 15.95 - lr: 0.012500
2021-06-20 14:25:14,695 epoch 143 - iter 110/226 - loss 2.09782610 - samples/sec: 16.92 - lr: 0.012500
2021-06-20 14:25:56,300 epoch 143 - iter 132/226 - loss 2.09329575 - samples/sec: 16.92 - lr: 0.012500
2021-06-20 14:26:39,770 epoch 143 - iter 154/226 - loss 2.07845015 - samples/sec: 16.20 - lr: 0.012500
2021-06-20 14:27:22,412 epoch 143 - iter 176/226 - loss 2.05165122 - samples/sec: 16.51 - lr: 0.012500
2021-06-20 14:28:03,904 epoch 143 - iter 198/226 - loss 2.05158847 - samples/sec: 16.97 - lr: 0.012500
2021-06-20 14:28:42,445 epoch 143 - iter 220/226 - loss 2.06099328 - samples/sec: 18.27 - lr: 0.012500
2021-06-20 14:28:53,966 ----------------------------------------------------------------------------------------------------
2021-06-20 14:28:53,969 EPOCH 143 done: loss 2.0599 - lr 0.0125000
2021-06-20 14:28:53,971 BAD EPOCHS (no improvement): 0
2021-06-20 14:28:53,982 ----------------------------------------------------------------------------------------------------
2021-06-20 14:29:38,359 epoch 144 - iter 22/226 - loss 2.02253361 - samples/sec: 15.87 - lr: 0.012500
2021-06-20 14:30:18,026 epoch 144 - iter 44/226 - loss 2.08515396 - samples/sec: 17.75 - lr: 0.012500
2021-06-20 14:30:59,451 epoch 144 - iter 66/226 - loss 2.10834194 - samples/sec: 17.00 - lr: 0.012500
2021-06-20 14:31:40,652 epoch 144 - iter 88/226 - loss 2.08938084 - samples/sec: 17.09 - lr: 0.012500
2021-06-20 14:32:24,308 epoch 144 - iter 110/226 - loss 2.11657899 - samples/sec: 16.13 - lr: 0.012500
2021-06-20 14:33:05,260 epoch 144 - iter 132/226 - loss 2.10981901 - samples/sec: 17.19 - lr: 0.012500
2021-06-20 14:33:46,047 epoch 144 - iter 154/226 - loss 2.09849418 - samples/sec: 17.26 - lr: 0.012500
2021-06-20 14:34:31,112 epoch 144 - iter 176/226 - loss 2.09436460 - samples/sec: 15.62 - lr: 0.012500
2021-06-20 14:35:14,139 epoch 144 - iter 198/226 - loss 2.11040884 - samples/sec: 16.36 - lr: 0.012500
2021-06-20 14:35:55,176 epoch 144 - iter 220/226 - loss 2.09708548 - samples/sec: 17.16 - lr: 0.012500
2021-06-20 14:36:07,206 ----------------------------------------------------------------------------------------------------
2021-06-20 14:36:07,208 EPOCH 144 done: loss 2.0869 - lr 0.0125000
2021-06-20 14:36:07,211 BAD EPOCHS (no improvement): 1
2021-06-20 14:36:07,226 ----------------------------------------------------------------------------------------------------
2021-06-20 14:36:52,548 epoch 145 - iter 22/226 - loss 2.05403547 - samples/sec: 15.54 - lr: 0.012500
2021-06-20 14:37:37,756 epoch 145 - iter 44/226 - loss 2.10736214 - samples/sec: 15.57 - lr: 0.012500
2021-06-20 14:38:20,967 epoch 145 - iter 66/226 - loss 2.13672922 - samples/sec: 16.30 - lr: 0.012500
2021-06-20 14:39:02,447 epoch 145 - iter 88/226 - loss 2.12779100 - samples/sec: 16.97 - lr: 0.012500
2021-06-20 14:39:44,484 epoch 145 - iter 110/226 - loss 2.15192435 - samples/sec: 16.75 - lr: 0.012500
2021-06-20 14:40:26,672 epoch 145 - iter 132/226 - loss 2.11523259 - samples/sec: 16.69 - lr: 0.012500
2021-06-20 14:41:11,006 epoch 145 - iter 154/226 - loss 2.11040345 - samples/sec: 15.88 - lr: 0.012500
2021-06-20 14:41:53,847 epoch 145 - iter 176/226 - loss 2.12100567 - samples/sec: 16.43 - lr: 0.012500
2021-06-20 14:42:34,638 epoch 145 - iter 198/226 - loss 2.10142744 - samples/sec: 17.26 - lr: 0.012500
2021-06-20 14:43:15,177 epoch 145 - iter 220/226 - loss 2.11046959 - samples/sec: 17.37 - lr: 0.012500
2021-06-20 14:43:25,721 ----------------------------------------------------------------------------------------------------
2021-06-20 14:43:25,724 EPOCH 145 done: loss 2.1136 - lr 0.0125000
2021-06-20 14:43:25,727 BAD EPOCHS (no improvement): 2
2021-06-20 14:43:25,739 ----------------------------------------------------------------------------------------------------
2021-06-20 14:44:09,835 epoch 146 - iter 22/226 - loss 2.10731731 - samples/sec: 15.97 - lr: 0.012500
2021-06-20 14:44:52,638 epoch 146 - iter 44/226 - loss 2.06020443 - samples/sec: 16.45 - lr: 0.012500
2021-06-20 14:45:35,805 epoch 146 - iter 66/226 - loss 2.07164986 - samples/sec: 16.31 - lr: 0.012500
2021-06-20 14:46:15,945 epoch 146 - iter 88/226 - loss 2.05386638 - samples/sec: 17.54 - lr: 0.012500
2021-06-20 14:47:01,367 epoch 146 - iter 110/226 - loss 2.05043365 - samples/sec: 15.50 - lr: 0.012500
2021-06-20 14:47:40,943 epoch 146 - iter 132/226 - loss 2.07164671 - samples/sec: 17.79 - lr: 0.012500
2021-06-20 14:48:22,865 epoch 146 - iter 154/226 - loss 2.07315616 - samples/sec: 16.80 - lr: 0.012500
2021-06-20 14:49:05,679 epoch 146 - iter 176/226 - loss 2.06549580 - samples/sec: 16.45 - lr: 0.012500
2021-06-20 14:49:47,368 epoch 146 - iter 198/226 - loss 2.08307604 - samples/sec: 16.89 - lr: 0.012500
2021-06-20 14:50:31,400 epoch 146 - iter 220/226 - loss 2.08865857 - samples/sec: 15.99 - lr: 0.012500
2021-06-20 14:50:43,174 ----------------------------------------------------------------------------------------------------
2021-06-20 14:50:43,178 EPOCH 146 done: loss 2.0912 - lr 0.0125000
2021-06-20 14:50:43,180 BAD EPOCHS (no improvement): 3
2021-06-20 14:50:43,192 ----------------------------------------------------------------------------------------------------
2021-06-20 14:51:27,276 epoch 147 - iter 22/226 - loss 2.06472863 - samples/sec: 15.97 - lr: 0.012500
2021-06-20 14:52:09,728 epoch 147 - iter 44/226 - loss 2.04797266 - samples/sec: 16.59 - lr: 0.012500
2021-06-20 14:52:48,139 epoch 147 - iter 66/226 - loss 2.04609650 - samples/sec: 18.33 - lr: 0.012500
2021-06-20 14:53:28,518 epoch 147 - iter 88/226 - loss 2.07386228 - samples/sec: 17.44 - lr: 0.012500
2021-06-20 14:54:11,594 epoch 147 - iter 110/226 - loss 2.07578512 - samples/sec: 16.35 - lr: 0.012500
2021-06-20 14:54:55,052 epoch 147 - iter 132/226 - loss 2.12849798 - samples/sec: 16.20 - lr: 0.012500
2021-06-20 14:55:37,098 epoch 147 - iter 154/226 - loss 2.11855950 - samples/sec: 16.75 - lr: 0.012500
2021-06-20 14:56:18,203 epoch 147 - iter 176/226 - loss 2.10740735 - samples/sec: 17.13 - lr: 0.012500
2021-06-20 14:56:59,776 epoch 147 - iter 198/226 - loss 2.11421221 - samples/sec: 16.94 - lr: 0.012500
2021-06-20 14:57:41,163 epoch 147 - iter 220/226 - loss 2.12185296 - samples/sec: 17.01 - lr: 0.012500
2021-06-20 14:57:51,479 ----------------------------------------------------------------------------------------------------
2021-06-20 14:57:51,482 EPOCH 147 done: loss 2.1155 - lr 0.0125000
2021-06-20 14:57:51,486 BAD EPOCHS (no improvement): 4
2021-06-20 14:57:51,500 ----------------------------------------------------------------------------------------------------
2021-06-20 14:58:32,543 epoch 148 - iter 22/226 - loss 2.07325294 - samples/sec: 17.16 - lr: 0.006250
2021-06-20 14:59:17,979 epoch 148 - iter 44/226 - loss 2.18444758 - samples/sec: 15.50 - lr: 0.006250
2021-06-20 14:59:57,661 epoch 148 - iter 66/226 - loss 2.18576782 - samples/sec: 17.74 - lr: 0.006250
2021-06-20 15:00:39,253 epoch 148 - iter 88/226 - loss 2.16410627 - samples/sec: 16.93 - lr: 0.006250
2021-06-20 15:01:23,018 epoch 148 - iter 110/226 - loss 2.12924412 - samples/sec: 16.09 - lr: 0.006250
2021-06-20 15:02:05,887 epoch 148 - iter 132/226 - loss 2.14359743 - samples/sec: 16.42 - lr: 0.006250
2021-06-20 15:02:48,000 epoch 148 - iter 154/226 - loss 2.15099064 - samples/sec: 16.72 - lr: 0.006250
2021-06-20 15:03:30,242 epoch 148 - iter 176/226 - loss 2.12808716 - samples/sec: 16.67 - lr: 0.006250
2021-06-20 15:04:14,656 epoch 148 - iter 198/226 - loss 2.12593211 - samples/sec: 15.85 - lr: 0.006250
2021-06-20 15:04:54,819 epoch 148 - iter 220/226 - loss 2.12092374 - samples/sec: 17.53 - lr: 0.006250
2021-06-20 15:05:04,673 ----------------------------------------------------------------------------------------------------
2021-06-20 15:05:04,677 EPOCH 148 done: loss 2.1174 - lr 0.0062500
2021-06-20 15:05:04,681 BAD EPOCHS (no improvement): 1
2021-06-20 15:05:04,692 ----------------------------------------------------------------------------------------------------
2021-06-20 15:05:48,342 epoch 149 - iter 22/226 - loss 2.06135177 - samples/sec: 16.13 - lr: 0.006250
2021-06-20 15:06:28,270 epoch 149 - iter 44/226 - loss 2.06059647 - samples/sec: 17.63 - lr: 0.006250
2021-06-20 15:07:13,424 epoch 149 - iter 66/226 - loss 2.06654369 - samples/sec: 15.59 - lr: 0.006250
2021-06-20 15:07:53,822 epoch 149 - iter 88/226 - loss 2.08129221 - samples/sec: 17.43 - lr: 0.006250
2021-06-20 15:08:38,481 epoch 149 - iter 110/226 - loss 2.11101666 - samples/sec: 15.77 - lr: 0.006250
2021-06-20 15:09:18,860 epoch 149 - iter 132/226 - loss 2.09272556 - samples/sec: 17.44 - lr: 0.006250
2021-06-20 15:10:00,503 epoch 149 - iter 154/226 - loss 2.08400940 - samples/sec: 16.91 - lr: 0.006250
2021-06-20 15:10:42,294 epoch 149 - iter 176/226 - loss 2.11499166 - samples/sec: 16.85 - lr: 0.006250
2021-06-20 15:11:23,403 epoch 149 - iter 198/226 - loss 2.10203031 - samples/sec: 17.13 - lr: 0.006250
2021-06-20 15:12:04,761 epoch 149 - iter 220/226 - loss 2.12395299 - samples/sec: 17.02 - lr: 0.006250
2021-06-20 15:12:15,526 ----------------------------------------------------------------------------------------------------
2021-06-20 15:12:15,528 EPOCH 149 done: loss 2.1251 - lr 0.0062500
2021-06-20 15:12:15,531 BAD EPOCHS (no improvement): 2
2021-06-20 15:12:15,542 ----------------------------------------------------------------------------------------------------
2021-06-20 15:12:57,663 epoch 150 - iter 22/226 - loss 2.02752427 - samples/sec: 16.72 - lr: 0.006250
2021-06-20 15:13:39,689 epoch 150 - iter 44/226 - loss 2.04645452 - samples/sec: 16.75 - lr: 0.006250
2021-06-20 15:14:21,718 epoch 150 - iter 66/226 - loss 2.05917931 - samples/sec: 16.75 - lr: 0.006250
2021-06-20 15:15:02,772 epoch 150 - iter 88/226 - loss 2.10350781 - samples/sec: 17.15 - lr: 0.006250
2021-06-20 15:15:43,432 epoch 150 - iter 110/226 - loss 2.05963723 - samples/sec: 17.32 - lr: 0.006250
2021-06-20 15:16:25,678 epoch 150 - iter 132/226 - loss 2.06506506 - samples/sec: 16.67 - lr: 0.006250
2021-06-20 15:17:07,851 epoch 150 - iter 154/226 - loss 2.08063207 - samples/sec: 16.70 - lr: 0.006250
2021-06-20 15:17:50,668 epoch 150 - iter 176/226 - loss 2.08491369 - samples/sec: 16.44 - lr: 0.006250
2021-06-20 15:18:33,708 epoch 150 - iter 198/226 - loss 2.09175825 - samples/sec: 16.36 - lr: 0.006250
2021-06-20 15:19:15,386 epoch 150 - iter 220/226 - loss 2.09988373 - samples/sec: 16.89 - lr: 0.006250
2021-06-20 15:19:25,656 ----------------------------------------------------------------------------------------------------
2021-06-20 15:19:25,659 EPOCH 150 done: loss 2.1025 - lr 0.0062500
2021-06-20 15:19:25,665 BAD EPOCHS (no improvement): 3
2021-06-20 15:19:32,070 ----------------------------------------------------------------------------------------------------
2021-06-20 15:19:32,073 Testing using best model ...
2021-06-20 15:20:24,995 	0.9496
2021-06-20 15:20:24,997 
Results:
- F-score (micro): 0.9496
- F-score (macro): 0.7155
- Accuracy (incl. no class): 0.9496

By class:
              precision    recall  f1-score   support

      Vmer1p     0.9091    1.0000    0.9524        30
   Pp3msa--y     0.8333    1.0000    0.9091        30
         Rgp     0.9764    0.9538    0.9650       650
          Cs     0.9963    0.9963    0.9963       536
      Agpfsa     0.9024    0.9867    0.9427        75
       Ncfsa     0.9737    0.9911    0.9823       224
           Z     1.0000    1.0000    1.0000      1876
          Sl     1.0000    0.9922    0.9961       514
       Ncfsl     0.9928    0.9928    0.9928       138
       Ncfpl     0.9149    0.9773    0.9451        44
          Sa     0.9756    1.0000    0.9877       320
          Cc     0.9931    0.9847    0.9889       588
    Va-r3s-n     1.0000    1.0000    1.0000       532
      Agpfsn     0.9286    0.9832    0.9551       119
       Ncfsn     0.9703    0.9385    0.9542       244
       Ncfsg     0.9275    0.9458    0.9366       203
   Px---d--y     1.0000    0.9615    0.9804        26
       Ncmpa     0.9126    0.9216    0.9171       102
      Ncmsan     0.9341    0.9176    0.9258       170
       Ncmpn     0.9505    0.9796    0.9648        98
      Agsfsn     1.0000    1.0000    1.0000         4
       Npmsg     0.8438    0.7297    0.7826        37
       Npmsn     0.7895    0.8710    0.8282       155
           Q     0.9794    0.9896    0.9845       385
       Ncnpn     0.7500    0.7500    0.7500        12
      Agpmpg     0.9512    1.0000    0.9750        39
         Mdc     0.9474    1.0000    0.9730        72
       Ncmpg     0.9831    0.9915    0.9872       117
    Va-r3p-n     1.0000    1.0000    1.0000       144
      Appnpn     1.0000    0.5000    0.6667         4
         Rgc     0.9851    1.0000    0.9925        66
       Ncmpl     0.9286    0.9811    0.9541        53
   Px------y     1.0000    1.0000    1.0000       205
       Npmpl     1.0000    1.0000    1.0000         2
       Ncfpg     0.9478    0.9160    0.9316       119
      Vmpr3s     0.9756    0.9877    0.9816       162
      Vmpr1p     0.8750    0.9333    0.9032        45
          Sg     0.9901    0.9901    0.9901       203
      Agpfpg     0.8800    0.9565    0.9167        46
      Pd-msn     1.0000    0.8667    0.9286        15
       Ncmsn     0.8939    0.9012    0.8975       243
     Vmep-sm     0.9600    0.9825    0.9711       171
      Agpmsl     0.8750    0.8974    0.8861        39
       Ncmsl     0.9703    0.9899    0.9800        99
      Vmpr3p     0.9479    0.9891    0.9681        92
        Vmen     0.8714    0.9839    0.9242        62
       Ncnsa     0.9308    0.9680    0.9490       125
      Agpnsa     0.7500    0.8919    0.8148        37
      Mlpmsl     1.0000    1.0000    1.0000         5
       Npmpg     1.0000    0.5000    0.6667         2
      Agpfpn     0.9500    0.8261    0.8837        46
       Ncfpn     0.9028    0.8784    0.8904        74
          Si     0.9918    0.9918    0.9918       244
       Ncfsi     0.9492    0.9492    0.9492        59
      Pi-nsi     1.0000    0.0000    0.0000         1
      Agpnsi     0.8571    1.0000    0.9231         6
       Ncnsi     1.0000    0.9310    0.9643        29
       Ncnsl     1.0000    0.9651    0.9822        86
      Aspmsg     0.4000    1.0000    0.5714         2
       Ncmsg     0.9340    0.9436    0.9388       195
       Npfsg     0.8500    0.6800    0.7556        25
      Mlpfsl     1.0000    1.0000    1.0000         5
      Pd-fsn     0.9091    1.0000    0.9524        10
     Vmep-sf     0.9135    0.9794    0.9453        97
      Pd-nsa     1.0000    1.0000    1.0000        17
       Npmpn     1.0000    0.7500    0.8571         8
     Agpmsny     0.9649    0.9016    0.9322        61
      Pp1-pg     0.8333    0.8333    0.8333         6
      Vmer3s     0.9836    1.0000    0.9917        60
      Agpfsi     0.8824    0.8824    0.8824        17
    Va-f3p-n     1.0000    1.0000    1.0000        22
     Vmpp-pm     0.9655    0.9655    0.9655        58
      Pd-msa     0.7500    0.8571    0.8000         7
       Ncnpg     1.0000    0.8750    0.9333        40
      Agpmpn     0.9375    0.9375    0.9375        48
       Npfsl     0.9412    0.8421    0.8889        19
       Ncnsg     0.9580    0.9421    0.9500       121
     Vmep-sn     0.9062    1.0000    0.9508        29
      Pg-fpa     0.7500    1.0000    0.8571         3
       Ncfpa     0.7701    0.8701    0.8171        77
      Appnpg     0.6000    0.5000    0.5455         6
      Agpnpg     1.0000    0.7368    0.8485        19
      Agpnsl     0.8824    0.9091    0.8955        33
      Pg-mdg     1.0000    0.6667    0.8000         3
      Pg-fdg     0.0000    1.0000    0.0000         0
       Ncfdg     1.0000    0.5000    0.6667         2
    Ps3fpnsm     1.0000    1.0000    1.0000         2
     Va-p-sf     0.9677    1.0000    0.9836        30
       Ncmsi     0.9483    1.0000    0.9735        55
    Ps3fsnsm     1.0000    1.0000    1.0000         6
   Pp3fsa--y     1.0000    1.0000    1.0000        22
     Vmpp-sf     0.9615    0.9259    0.9434        54
      Mlpfsn     1.0000    1.0000    1.0000         7
      Mlpmsn     1.0000    1.0000    1.0000         5
      Appmpg     0.7000    1.0000    0.8235         7
      Pd-msl     1.0000    1.0000    1.0000         7
        Vmpn     0.8852    0.9310    0.9076        58
      Agpfpl     0.9412    1.0000    0.9697        16
      Agpnsn     0.8507    0.8769    0.8636        65
      Vmbr3p     1.0000    0.5000    0.6667         8
      Agpfpa     0.6512    0.8750    0.7467        32
      Agpfsl     0.9574    1.0000    0.9783        45
        Vmbn     0.9231    0.6000    0.7273        20
      Pi-fsg     1.0000    1.0000    1.0000         2
      Agpfsg     0.9351    0.9231    0.9290        78
      Appfsg     0.5714    0.6667    0.6154         6
        Va-c     1.0000    1.0000    1.0000        91
     Vmbp-sf     1.0000    0.7778    0.8750         9
   Pp3mpa--y     0.3684    0.5385    0.4375        13
   Pp3npa--y     0.0000    0.0000    0.0000         3
      Pd-nsl     1.0000    1.0000    1.0000        16
    Va-r3s-y     1.0000    1.0000    1.0000        53
      Vmpr3d     1.0000    1.0000    1.0000         4
      Vmbr3d     1.0000    1.0000    1.0000         1
     Agpmsay     0.9189    0.9189    0.9189        37
      Pq-fsl     0.7500    1.0000    0.8571         3
     Va-p-sn     1.0000    1.0000    1.0000        28
      Agpfpi     0.7857    1.0000    0.8800        11
       Ncfpi     0.9600    1.0000    0.9796        24
       Npfsn     0.8254    0.8254    0.8254        63
       Ncnsn     0.9625    0.8953    0.9277        86
      Pq-msl     0.8571    1.0000    0.9231         6
      Px-nsa     1.0000    1.0000    1.0000         5
      Appnsl     0.7500    0.7500    0.7500         4
      Pq-nsg     1.0000    0.7500    0.8571         4
      Agpnsg     0.9231    0.9231    0.9231        39
      Pd-fsl     1.0000    1.0000    1.0000         3
     Agpmsnn     0.9091    0.9524    0.9302        42
      Vmbr3s     1.0000    0.9333    0.9655        30
      Agpnpi     0.6667    0.6667    0.6667         6
       Ncnpi     1.0000    0.9000    0.9474        20
     Va-p-pm     1.0000    1.0000    1.0000         9
      Appmpn     0.8846    1.0000    0.9388        23
          Sd     1.0000    1.0000    1.0000        28
      Agpfsd     1.0000    0.9091    0.9524        11
       Ncfsd     1.0000    0.9000    0.9474        20
      Agpnsd     0.7143    0.7143    0.7143         7
       Ncnsd     0.9231    0.8571    0.8889        14
      Agpmsg     0.9385    0.9531    0.9457        64
       Npfsa     0.7500    0.5455    0.6316        11
       Ncmpi     0.9091    0.9375    0.9231        32
      Aspfsa     1.0000    0.6667    0.8000         3
     Appmsnn     0.8889    0.8571    0.8727        28
    Ps3mpgsf     1.0000    1.0000    1.0000         3
     Vmep-pm     0.9565    0.9888    0.9724        89
      Agpmsd     0.6667    0.8571    0.7500         7
       Ncmsd     0.9524    0.9524    0.9524        21
      Aspfsn     1.0000    1.0000    1.0000         6
      Px-msl     1.0000    1.0000    1.0000         2
      Pp3fsd     1.0000    1.0000    1.0000         1
     Appmsny     0.7500    0.8571    0.8000         7
      Agpmpl     0.9412    1.0000    0.9697        16
      Pg-msa     0.8182    0.8182    0.8182        11
      Pr-nsn     0.8333    1.0000    0.9091        10
      Agcfsg     0.7500    0.7500    0.7500         4
      Appmsi     0.7500    1.0000    0.8571         3
      Agpmpa     0.9355    0.8286    0.8788        35
      Agcfpg     1.0000    1.0000    1.0000         1
      Vmpr2p     0.9091    0.9091    0.9091        11
      Px-fsl     1.0000    1.0000    1.0000         5
    Va-r2p-n     1.0000    1.0000    1.0000         4
      Pg-fpg     1.0000    0.0000    0.0000         1
      Pg-mpg     0.6667    1.0000    0.8000         2
      Appfpg     0.5000    0.4444    0.4706         9
      Pp2-pd     1.0000    1.0000    1.0000         5
      Vmbr2p     1.0000    0.0000    0.0000         2
      Vmer2p     0.6364    0.7778    0.7000         9
     Agsmsay     1.0000    1.0000    1.0000         1
      Npmsan     0.1667    0.4000    0.2353         5
      Agsfpa     1.0000    0.0000    0.0000         2
      Agsmpa     0.5000    1.0000    0.6667         1
      Pq-nsa     0.8182    0.7500    0.7826        12
      Agsnsn     1.0000    1.0000    1.0000         3
      Pq-mpa     0.5000    0.5000    0.5000         4
       Ncnpl     1.0000    0.7273    0.8421        11
      Pd-nsg     1.0000    1.0000    1.0000        18
      Pr-nsa     0.8889    0.8000    0.8421        10
     Va-p-sm     1.0000    1.0000    1.0000        34
      Pr-nsl     1.0000    0.8000    0.8889         5
     Agcmsay     1.0000    1.0000    1.0000         2
      Agpmsa     1.0000    0.8571    0.9231         7
      Appmsa     0.3333    1.0000    0.5000         1
      Pp2-pl     1.0000    0.0000    0.0000         1
      Pp2-pa     0.8571    1.0000    0.9231         6
      Pq-nsn     0.8333    0.6250    0.7143         8
      Vmer3p     0.9655    0.9655    0.9655        29
   Pp3msd--y     1.0000    1.0000    1.0000        16
      Appfsn     0.9375    0.7143    0.8108        21
      Pi-fsa     1.0000    1.0000    1.0000         2
      Pp2mpn     1.0000    1.0000    1.0000         2
    Vmpr2p-y     1.0000    1.0000    1.0000         1
      Pz-nsa     1.0000    1.0000    1.0000         1
    Ps3fsism     1.0000    1.0000    1.0000         2
    Va-f3s-n     1.0000    1.0000    1.0000        45
     Vmpp-sm     0.9315    0.9577    0.9444        71
      Pi-nsn     0.6667    0.8000    0.7273         5
      Pi-msa     0.8333    1.0000    0.9091         5
   Pp3nsa--y     1.0000    0.0000    0.0000         6
      Pp3nsi     1.0000    0.0000    0.0000         1
      Pp3msi     0.7500    1.0000    0.8571         3
      Pd-nsn     1.0000    1.0000    1.0000        27
      Agpfpd     1.0000    1.0000    1.0000         2
       Ncfpd     1.0000    0.8000    0.8889         5
      Px---g     1.0000    0.6667    0.8000         3
      Pi-msg     1.0000    0.8000    0.8889         5
      Mlpmsg     1.0000    0.0000    0.0000         1
      Mlpnsg     0.5000    1.0000    0.6667         1
      Vmpr1s     0.9500    1.0000    0.9744        19
      Pg-msl     1.0000    1.0000    1.0000         2
      Pq-fpg     1.0000    1.0000    1.0000         2
   Pp3fsa--b     1.0000    1.0000    1.0000         4
      Pg-nsn     0.6000    0.7500    0.6667         4
      Pg-nsa     0.8571    0.7500    0.8000         8
      Mlcfpa     0.3333    1.0000    0.5000         1
      Agpmsi     1.0000    1.0000    1.0000         8
      Agpmpi     0.8750    1.0000    0.9333         7
   Pp3mpd--y     0.7778    0.8750    0.8235         8
      Vmbr1p     1.0000    0.1667    0.2857         6
     Ps1nsns     1.0000    1.0000    1.0000         2
      Px---a     0.5000    1.0000    0.6667         1
      Ncmsay     0.6000    0.9375    0.7317        16
      Pi-mpa     1.0000    0.0000    0.0000         2
      Pi-fpn     0.5000    1.0000    0.6667         1
     Ps3nsnp     1.0000    0.0000    0.0000         1
     Ps3nsap     0.5000    0.3333    0.4000         3
      Appmpa     0.7143    0.6250    0.6667         8
      Mlcmpa     1.0000    0.5000    0.6667         4
      Pq-npl     1.0000    0.0000    0.0000         1
      Pq-mpl     0.3333    1.0000    0.5000         1
      Mlpnpa     1.0000    1.0000    1.0000         2
       Ncnpa     0.8966    0.8966    0.8966        29
    Ps3fsasm     1.0000    1.0000    1.0000         1
      Pq-fsa     0.6250    1.0000    0.7692         5
    Vmpr3s-n     1.0000    1.0000    1.0000        13
      Pq-fpn     1.0000    1.0000    1.0000         2
     Va-p-pf     1.0000    1.0000    1.0000         7
      Pd-fsa     1.0000    1.0000    1.0000         3
    Ps3fslsm     1.0000    1.0000    1.0000         2
      Pi-nsa     0.5000    0.3333    0.4000         3
      Px---l     1.0000    1.0000    1.0000         2
      Px-npa     1.0000    1.0000    1.0000         3
    Va-f2p-n     1.0000    1.0000    1.0000         4
     Appmsay     1.0000    1.0000    1.0000         1
    Va-r1s-n     1.0000    1.0000    1.0000        24
   Pp1-sd--y     1.0000    1.0000    1.0000        12
      Pi-fsn     1.0000    1.0000    1.0000         1
      Px-msa     1.0000    1.0000    1.0000         5
    Ps3nsasm     0.5000    1.0000    0.6667         2
      Pg-fsa     1.0000    1.0000    1.0000         2
    Va-r3d-n     0.9524    1.0000    0.9756        20
     Vmpp-dm     0.9231    1.0000    0.9600        12
      Pq-nsl     1.0000    0.5000    0.6667         2
    Va-r1p-y     1.0000    1.0000    1.0000         3
     Vmbp-pm     0.7500    0.7500    0.7500         4
     Ps1fslp     1.0000    1.0000    1.0000         1
     Ps1fsap     1.0000    1.0000    1.0000         1
      Pp1-pl     1.0000    1.0000    1.0000         1
   Pp1-sa--y     1.0000    1.0000    1.0000         4
     Ps1nsls     1.0000    0.0000    0.0000         1
     Ps1msls     0.0000    1.0000    0.0000         0
       Ncmpd     0.9286    1.0000    0.9630        13
      Pg-mpa     1.0000    1.0000    1.0000         3
      Mlpfpl     1.0000    1.0000    1.0000         2
    Va-r1p-n     1.0000    1.0000    1.0000        19
      Pd-npa     1.0000    0.0000    0.0000         2
      Pd-fpa     0.3333    1.0000    0.5000         1
      Mlc-pn     0.7500    0.5000    0.6000         6
      Mlc-pa     0.6364    0.8750    0.7368         8
      Pp1-pa     0.8000    0.8000    0.8000         5
     Ps1fsnp     1.0000    1.0000    1.0000         6
       Npfpn     1.0000    0.0000    0.0000         2
       Npfpl     0.3333    1.0000    0.5000         1
     Vmep-pf     1.0000    1.0000    1.0000        13
      Agsfpg     0.5000    1.0000    0.6667         2
      Agpnpa     0.9091    0.9091    0.9091        11
     Vmpp-pf     0.9333    1.0000    0.9655        14
      Mlcfpn     1.0000    1.0000    1.0000         1
      Px-fsi     1.0000    1.0000    1.0000         5
      Pq-msn     1.0000    1.0000    1.0000         3
      Appfpi     1.0000    0.5000    0.6667         4
      Pg-fdn     0.5000    1.0000    0.6667         1
       Ncfdn     0.6667    1.0000    0.8000         2
      Agpfdn     1.0000    0.0000    0.0000         1
   Pp3mda--y     1.0000    0.0000    0.0000         1
   Pp3fda--y     0.0000    1.0000    0.0000         0
      Mlofsl     1.0000    1.0000    1.0000         4
         Mdo     1.0000    1.0000    1.0000        12
      Appmdd     1.0000    0.0000    0.0000         1
      Appmda     0.0000    0.0000    0.0000         1
       Ncmdd     0.0000    0.0000    0.0000         1
       Ncmdg     1.0000    0.5000    0.6667         2
      Pg-npl     1.0000    0.0000    0.0000         1
      Pg-fpl     0.5000    1.0000    0.6667         1
      Agpnpl     0.6667    0.6667    0.6667         3
     Ps1mpap     0.3333    1.0000    0.5000         1
     Agsmsny     0.8333    1.0000    0.9091         5
      Npmsay     0.7647    0.9286    0.8387        14
      Mlonsn     1.0000    1.0000    1.0000         2
      Vmbr1s     1.0000    0.6667    0.8000         3
      Pp1-si     1.0000    1.0000    1.0000         1
      Aspfsl     1.0000    1.0000    1.0000         1
      Appfsa     0.8889    0.7273    0.8000        11
      Appmsd     1.0000    0.0000    0.0000         1
      Appmsl     0.3333    0.3333    0.3333         3
           X     1.0000    0.2000    0.3333         5
      Pq-fsn     1.0000    1.0000    1.0000         2
    Ps3fsnsf     1.0000    1.0000    1.0000         2
      Pd-fpn     1.0000    1.0000    1.0000         5
      Mlpfpg     1.0000    1.0000    1.0000         1
      Pi-fpl     1.0000    1.0000    1.0000         1
      Appfsi     1.0000    0.7500    0.8571         4
      Pd-fsg     1.0000    0.8333    0.9091         6
      Mlpmpl     1.0000    1.0000    1.0000         2
      Vmer1s     1.0000    1.0000    1.0000         8
      Pp1-pd     1.0000    1.0000    1.0000         8
      Mlpfsa     1.0000    1.0000    1.0000         4
       Npmsl     0.9333    1.0000    0.9655        14
       Npnsn     0.5000    1.0000    0.6667         1
      Appnsn     1.0000    0.9286    0.9630        14
         Rgs     1.0000    1.0000    1.0000        17
       Npfpg     0.6667    1.0000    0.8000         2
    Va-r3p-y     1.0000    1.0000    1.0000        25
           Y     1.0000    1.0000    1.0000         7
     Vmpp-sn     1.0000    0.8750    0.9333        16
      Agcfsn     1.0000    1.0000    1.0000         3
     Agpmsan     1.0000    0.8571    0.9231        14
    Ps3mpgsm     1.0000    1.0000    1.0000         2
      Mlc-pi     1.0000    0.5000    0.6667         2
       Npmpa     1.0000    0.0000    0.0000         2
       Npnsa     0.0000    1.0000    0.0000         0
     Ps1msns     1.0000    1.0000    1.0000         1
      Pz-nsn     0.0000    1.0000    0.0000         0
      Pq-msi     0.7500    1.0000    0.8571         3
   Pp3fpd--y     0.0000    0.0000    0.0000         1
     Aspmsnn     1.0000    0.8333    0.9091         6
   Pp3npg--y     1.0000    0.0000    0.0000         1
      Vmem2p     0.6000    0.8571    0.7059         7
      Pd-nsi     0.8889    1.0000    0.9412         8
      Vmbm2p     1.0000    0.2500    0.4000         4
      Pd-msd     1.0000    1.0000    1.0000         1
      Pp3msl     1.0000    1.0000    1.0000         4
      Agpmpd     1.0000    1.0000    1.0000         7
      Mlcmda     1.0000    1.0000    1.0000         3
       Ncmda     1.0000    0.4286    0.6000         7
      Pz-fpa     1.0000    0.0000    0.0000         1
      Pi-mpg     1.0000    1.0000    1.0000         3
      Pi-nsl     1.0000    1.0000    1.0000         1
      Pp3mpn     0.0000    1.0000    0.0000         0
    Va-r3d-y     1.0000    1.0000    1.0000         1
      Appmdn     0.0000    0.0000    0.0000         1
      Agpmdn     0.6667    0.3333    0.4444         6
      Pp3mpl     0.5000    1.0000    0.6667         2
      Agcfpl     0.5000    0.5000    0.5000         2
      Pd-fsi     0.6667    1.0000    0.8000         2
      Agcmpa     1.0000    0.5000    0.6667         6
      Agsfpi     1.0000    0.0000    0.0000         1
      Agsmpi     0.0000    1.0000    0.0000         0
   Pp3fpa--y     0.1667    0.1429    0.1538         7
      Px-msg     0.6667    1.0000    0.8000         2
      Agcfpa     0.0000    0.0000    0.0000         1
      Mlofsn     0.8333    1.0000    0.9091         5
      Appmsg     1.0000    0.6667    0.8000         3
      Px-fsa     1.0000    1.0000    1.0000         8
      Pp3msd     1.0000    1.0000    1.0000         1
      Aspmpn     1.0000    1.0000    1.0000         1
      Pg-nsd     1.0000    1.0000    1.0000         4
      Mlomsg     1.0000    1.0000    1.0000         1
       Ncmdi     1.0000    1.0000    1.0000         1
      Pi-mpn     1.0000    1.0000    1.0000         2
      Pq-fsi     1.0000    1.0000    1.0000         1
      Px-fpg     1.0000    1.0000    1.0000         1
      Mlcnpn     1.0000    0.0000    0.0000         1
      Mlcnpa     0.5000    1.0000    0.6667         1
     Vmpp-pn     1.0000    0.0000    0.0000         1
      Agsfsa     1.0000    1.0000    1.0000         4
      Mlofpg     1.0000    0.0000    0.0000         1
    Vmpr1p-y     1.0000    1.0000    1.0000         1
      Agcnsa     0.0000    1.0000    0.0000         0
     Ps1nsap     1.0000    0.0000    0.0000         2
      Pp3fsi     1.0000    1.0000    1.0000         2
      Pg-nsg     1.0000    1.0000    1.0000         5
      Mlpmpg     1.0000    1.0000    1.0000         3
        Va-n     1.0000    1.0000    1.0000         6
      Appfpn     0.7778    0.8750    0.8235         8
      Appfpa     0.3333    0.5000    0.4000         2
      Pd-fpd     1.0000    0.0000    0.0000         1
    Ps3fsgsm     1.0000    1.0000    1.0000         2
   Pp3fsd--y     1.0000    1.0000    1.0000        13
    Ps3msgsm     1.0000    0.0000    0.0000         3
    Ps3nsgsm     0.0000    1.0000    0.0000         0
      Agsnsi     1.0000    1.0000    1.0000         1
    Ps3msgsf     0.5000    1.0000    0.6667         1
      Mlsfpg     1.0000    0.0000    0.0000         1
      Mlcfdg     1.0000    1.0000    1.0000         1
      Agpfdg     1.0000    0.0000    0.0000         1
      Pd-msg     1.0000    1.0000    1.0000         3
    Va-f3d-n     1.0000    1.0000    1.0000         2
      Px-mpg     1.0000    1.0000    1.0000         3
      Agsmpg     1.0000    1.0000    1.0000         3
      Pp3mpi     1.0000    0.6667    0.8000         3
     Ps3msad     1.0000    0.0000    0.0000         1
    Ps3msasf     0.5000    0.5000    0.5000         2
   Pp3mdd--y     1.0000    0.6667    0.8000         3
      Agpmda     1.0000    0.0000    0.0000         1
      Pg-mpn     1.0000    1.0000    1.0000         8
       Npmsi     1.0000    1.0000    1.0000         9
     Vmep-df     1.0000    0.5000    0.6667         2
     Vmep-dm     1.0000    0.7273    0.8421        11
        Vmpu     1.0000    0.3333    0.5000         3
      Aspfsg     1.0000    1.0000    1.0000         3
      Pq-msa     1.0000    0.5000    0.6667         2
    Ps3nsnsm     1.0000    0.3333    0.5000         3
      Pr-nsg     0.5000    1.0000    0.6667         1
      Pg-msn     1.0000    0.6667    0.8000         6
   Px---a--b     1.0000    1.0000    1.0000         1
     Mlpmsnn     1.0000    1.0000    1.0000         2
      Mlpmsd     1.0000    1.0000    1.0000         1
    Ps3fpasm     1.0000    1.0000    1.0000         1
     Vmbp-sn     1.0000    1.0000    1.0000         6
      Agcnsn     1.0000    0.0000    0.0000         1
    Ps3msisf     1.0000    1.0000    1.0000         1
      Mlpmsa     1.0000    1.0000    1.0000         4
      Mlcfdl     1.0000    0.0000    0.0000         1
      Mlcmdl     0.0000    1.0000    0.0000         0
       Ncfdl     1.0000    0.0000    0.0000         2
      Px-msi     1.0000    1.0000    1.0000         2
          Xf     0.7500    0.3750    0.5000         8
      Appnpl     1.0000    0.0000    0.0000         1
      Vmpm1p     1.0000    0.0000    0.0000         1
   Pp3msa--b     1.0000    0.8000    0.8889         5
      Pq-mpg     1.0000    1.0000    1.0000         3
     Vmbp-sm     1.0000    0.6667    0.8000        12
    Vmpr1p-n     1.0000    1.0000    1.0000         4
    Ps3mpnsm     1.0000    1.0000    1.0000         1
     Ps3fsnp     1.0000    1.0000    1.0000         1
      Pi-msn     1.0000    1.0000    1.0000         1
      Pq-fsg     0.6000    1.0000    0.7500         3
      Mlpnsn     1.0000    1.0000    1.0000         2
      Agsnpg     1.0000    0.0000    0.0000         1
      Mlompn     1.0000    1.0000    1.0000         1
      Px-fsg     1.0000    1.0000    1.0000         2
     Ps3fsap     0.3333    1.0000    0.5000         1
      Px---i     1.0000    1.0000    1.0000         4
      Pz-mpg     1.0000    1.0000    1.0000         1
      Pq-fpl     1.0000    0.0000    0.0000         1
      Agcnpg     1.0000    0.0000    0.0000         1
      Agcmpg     0.0000    1.0000    0.0000         0
      Pd-mpg     1.0000    0.6667    0.8000         3
      Pd-npg     0.0000    1.0000    0.0000         0
      Mlpfpn     1.0000    0.5000    0.6667         2
       Npnsl     1.0000    1.0000    1.0000         4
     Va-p-dm     1.0000    0.5000    0.6667         2
      Pg-msi     1.0000    1.0000    1.0000         1
      Px-fpa     1.0000    1.0000    1.0000         3
   Pp3fpg--y     1.0000    0.0000    0.0000         2
     Ps3msap     1.0000    1.0000    1.0000         1
      Pp3msg     0.6667    1.0000    0.8000         2
    Vmpr3p-n     1.0000    1.0000    1.0000         2
      Agsmpn     1.0000    0.5000    0.6667         2
    Va-f1p-n     1.0000    1.0000    1.0000         7
   Pp3nsa--b     0.0000    1.0000    0.0000         0
      Appmpi     0.7500    1.0000    0.8571         3
      Appnpi     1.0000    0.0000    0.0000         3
      Pz-msn     1.0000    1.0000    1.0000         4
      Aspmsd     1.0000    0.0000    0.0000         1
      Pq-msg     0.0000    1.0000    0.0000         0
      Vmer3d     1.0000    1.0000    1.0000         1
      Appmpl     1.0000    0.6667    0.8000         3
    Va-r1s-y     1.0000    1.0000    1.0000         7
      Agcmpl     0.5000    0.5000    0.5000         2
     Ps1mplp     1.0000    0.5000    0.6667         2
     Ps1fplp     0.0000    1.0000    0.0000         0
     Ps1nsnp     1.0000    0.5000    0.6667         2
     Ps2nsnp     0.0000    1.0000    0.0000         0
      Pq-npi     1.0000    0.0000    0.0000         1
      Pq-mpi     0.5000    1.0000    0.6667         1
      Vmer2s     1.0000    1.0000    1.0000         1
      Agsfsl     1.0000    1.0000    1.0000         1
       Ncmdn     1.0000    1.0000    1.0000         3
       Npfsi     1.0000    0.5714    0.7273         7
          Rr     1.0000    1.0000    1.0000         1
      Aspfpn     1.0000    1.0000    1.0000         2
      Pg-mpl     1.0000    1.0000    1.0000         1
    Ps3fpism     1.0000    0.0000    0.0000         1
    Ps3mpism     0.0000    1.0000    0.0000         0
       Npfsd     1.0000    0.0000    0.0000         3
    Ps3msnsf     0.7500    1.0000    0.8571         3
      Pg-fpn     1.0000    1.0000    1.0000         1
      Pp3fsn     1.0000    1.0000    1.0000         1
      Agcmpn     1.0000    1.0000    1.0000         3
      Pp3fpi     0.5000    1.0000    0.6667         1
      Agpnpn     0.2500    0.5000    0.3333         2
     Vmep-pn     1.0000    0.6667    0.8000         3
   Pp3npd--y     1.0000    0.0000    0.0000         1
      Px-fpl     1.0000    1.0000    1.0000         1
      Mlpfpa     0.7500    1.0000    0.8571         3
      Px-nsi     1.0000    1.0000    1.0000         1
     Vmbp-dn     1.0000    0.0000    0.0000         1
       Npmsd     0.5000    1.0000    0.6667         1
      Mlomsl     1.0000    1.0000    1.0000         2
    Vmpr1s-n     1.0000    1.0000    1.0000         1
      Px-nsg     1.0000    0.5000    0.6667         2
      Mlcmpg     1.0000    1.0000    1.0000         2
   Pp1-sg--y     1.0000    1.0000    1.0000         1
   Pp3nsg--y     1.0000    0.0000    0.0000         1
   Pp3msg--y     0.0000    1.0000    0.0000         0
    Vmpr3s-y     1.0000    1.0000    1.0000         3
   Pp1-sa--b     0.6667    1.0000    0.8000         2
    Ps3fsasf     1.0000    1.0000    1.0000         2
    Ps3fplsf     1.0000    0.0000    0.0000         1
    Ps3mplsf     0.0000    1.0000    0.0000         0
      Appfpl     1.0000    0.6667    0.8000         3
      Pp3npl     1.0000    0.0000    0.0000         1
      Mlpfsg     1.0000    1.0000    1.0000         3
    Ps3nslsf     1.0000    1.0000    1.0000         1
      Pg-mdn     1.0000    1.0000    1.0000         2
       Npnsg     0.6667    1.0000    0.8000         2
      Pg-mpd     1.0000    1.0000    1.0000         1
    Va-r2s-n     0.0000    1.0000    0.0000         0
      Mlpnsi     1.0000    0.0000    0.0000         1
      Mlpmsi     0.0000    1.0000    0.0000         0
       Npfpi     1.0000    0.0000    0.0000         1
       Ncfdi     1.0000    1.0000    1.0000         3
      Pr-fpa     1.0000    0.0000    0.0000         1
      Pp1-sd     1.0000    1.0000    1.0000         1
    Va-r1d-n     1.0000    1.0000    1.0000         3
      Pp1-sn     1.0000    1.0000    1.0000         1
     Ps1fsgs     1.0000    0.0000    0.0000         1
     Ps2fsgs     0.0000    1.0000    0.0000         0
      Pi-fpa     0.0000    0.0000    0.0000         1
      Pd-mpn     1.0000    1.0000    1.0000         3
      Pr-msn     1.0000    1.0000    1.0000         2
      Pr-fsa     0.0000    1.0000    0.0000         0
       Npmpi     1.0000    1.0000    1.0000         1
      Appnsa     1.0000    0.5000    0.6667         2
      Pd-fpg     1.0000    1.0000    1.0000         1
      Aspnsa     1.0000    0.0000    0.0000         1
      Appnsi     1.0000    0.0000    0.0000         1
      Pd-nsd     1.0000    1.0000    1.0000         2
      Pg-fda     1.0000    0.0000    0.0000         1
       Ncfda     1.0000    0.0000    0.0000         1
     Ps3fsgp     1.0000    1.0000    1.0000         1
      Pg-mda     1.0000    1.0000    1.0000         2
      Appnsg     1.0000    1.0000    1.0000         2
      Mlonpn     1.0000    0.0000    0.0000         1
      Pg-fsl     1.0000    1.0000    1.0000         3
      Agcfsi     1.0000    1.0000    1.0000         1
      Agsmpd     1.0000    1.0000    1.0000         1
     Ps2msnp     1.0000    1.0000    1.0000         1
      Agcfsa     1.0000    1.0000    1.0000         1
      Mlcfdi     1.0000    1.0000    1.0000         2
      Agpfdi     1.0000    1.0000    1.0000         3
   Pp3fdd--y     0.0000    1.0000    0.0000         0
      Mlpmpi     1.0000    1.0000    1.0000         1
      Pg-npi     1.0000    0.0000    0.0000         1
      Pg-mpi     0.0000    1.0000    0.0000         0
   Pp3fsg--y     1.0000    1.0000    1.0000         1
      Pd-mpl     1.0000    1.0000    1.0000         2
      Pp3fsl     1.0000    1.0000    1.0000         4
      Pz-msg     1.0000    1.0000    1.0000         2
    Ps3fpasf     1.0000    1.0000    1.0000         1
      Pd-mpa     1.0000    1.0000    1.0000         4
    Ps3fsgsf     1.0000    1.0000    1.0000         1
     Ps3mpnp     1.0000    1.0000    1.0000         2
      Mlpmpn     1.0000    1.0000    1.0000         2
      Pp1-pi     1.0000    1.0000    1.0000         1
      Pr-fsl     1.0000    0.0000    0.0000         1
      Appnsd     1.0000    0.0000    0.0000         1
      Agcfpn     1.0000    1.0000    1.0000         1
      Pd-msi     1.0000    1.0000    1.0000         1
   Pp3mpa--b     1.0000    0.0000    0.0000         1
   Pp3npa--b     0.0000    1.0000    0.0000         0
      Aspnsg     1.0000    0.0000    0.0000         3
         Mrc     1.0000    0.5000    0.6667         2
      Mlomsn     1.0000    1.0000    1.0000         3
      Mlpmpa     1.0000    1.0000    1.0000         1
    Ps3msdsf     1.0000    0.0000    0.0000         1
      Px-msd     0.0000    1.0000    0.0000         0
     Vmbp-pf     1.0000    0.0000    0.0000         1
      Pz-fpn     1.0000    0.0000    0.0000         1
      Pz-fsg     0.0000    1.0000    0.0000         0
      Appnpa     0.0000    0.0000    0.0000         1
     Aspmsan     0.5000    1.0000    0.6667         1
      Aspmsi     1.0000    1.0000    1.0000         2
    Ps3nsnsf     1.0000    0.0000    0.0000         1
    Ps3nsasf     0.0000    1.0000    0.0000         0
     Agcmsny     1.0000    1.0000    1.0000         1
      Aspmsl     1.0000    1.0000    1.0000         1
      Pp3mpa     1.0000    0.0000    0.0000         1
      Pp3mdi     1.0000    1.0000    1.0000         1
      Agcfsl     1.0000    1.0000    1.0000         1
     Ps1fpnp     1.0000    1.0000    1.0000         1
      Agcnsg     1.0000    1.0000    1.0000         1
      Aspfsi     1.0000    1.0000    1.0000         1
      Agpnpd     1.0000    1.0000    1.0000         1
       Ncnpd     1.0000    1.0000    1.0000         2
        Vmeu     1.0000    0.0000    0.0000         1
    Ps3nslsm     1.0000    1.0000    1.0000         1
      Agsfsg     1.0000    1.0000    1.0000         2
     Ps2fsap     1.0000    1.0000    1.0000         1
       Npfpa     1.0000    0.0000    0.0000         1
      Pd-mpi     0.5000    1.0000    0.6667         1
      Pq-fpa     1.0000    0.0000    0.0000         1
    Va-r2d-n     1.0000    0.0000    0.0000         1
    Vmpr3d-n     1.0000    1.0000    1.0000         1
   Pp3mda--b     1.0000    0.0000    0.0000         1
     Ps1fpip     1.0000    1.0000    1.0000         1
   Pp3mpg--y     1.0000    1.0000    1.0000         1
     Appmsan     1.0000    1.0000    1.0000         1
      Vmpr1d     1.0000    1.0000    1.0000         1
     Va-p-pn     1.0000    1.0000    1.0000         1
      Pd-fpi     1.0000    0.0000    0.0000         1
     Ps3fpip     1.0000    0.0000    0.0000         1
     Ps3mpip     0.0000    1.0000    0.0000         0
    Ps3msasm     1.0000    1.0000    1.0000         1
     Ps1fsip     1.0000    1.0000    1.0000         1
      Mlcnpi     1.0000    1.0000    1.0000         1
     Ps3mpap     1.0000    1.0000    1.0000         1
     Ps1nsgp     0.0000    0.0000    0.0000         1
     Ps2nsgp     0.0000    1.0000    0.0000         0
      Pq-mpn     1.0000    1.0000    1.0000         1
      Pp3nsg     1.0000    0.0000    0.0000         1
     Ps1fsgp     0.5000    1.0000    0.6667         1
     Ps1fpap     1.0000    0.0000    0.0000         1
    Vmpr3p-y     1.0000    1.0000    1.0000         1
      Pi-npg     1.0000    0.0000    0.0000         1
      Pi-fpg     0.0000    1.0000    0.0000         0
     Ps1msgp     1.0000    0.0000    0.0000         1
      Pg-msg     1.0000    1.0000    1.0000         1
      Pi-nsg     1.0000    0.0000    0.0000         1
     Ps1msnp     1.0000    1.0000    1.0000         1
      Appfsd     1.0000    0.0000    0.0000         1
      Pr-msi     1.0000    0.0000    0.0000         1
    Ps3mslsm     1.0000    1.0000    1.0000         1
      Aspfpg     1.0000    0.0000    0.0000         1
      Aspmpg     0.0000    1.0000    0.0000         0
      Px-mpi     1.0000    1.0000    1.0000         1
   Pp2-sd--y     1.0000    1.0000    1.0000         1

    accuracy                         0.9496     14077
   macro avg     0.8618    0.7800    0.7155     14077
weighted avg     0.9566    0.9496    0.9472     14077

2021-06-20 15:20:25,002 ----------------------------------------------------------------------------------------------------