training.log

2020-06-10 13:55:19,731 ----------------------------------------------------------------------------------------------------
2020-06-10 13:55:19,733 Model: "SequenceTagger(
  (embeddings): TransformerWordEmbeddings(
    (model): BertModel(
      (embeddings): BertEmbeddings(
        (word_embeddings): Embedding(30000, 768, padding_idx=3)
        (position_embeddings): Embedding(512, 768)
        (token_type_embeddings): Embedding(2, 768)
        (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
        (dropout): Dropout(p=0.1, inplace=False)
      )
      (encoder): BertEncoder(
        (layer): ModuleList(
          (0): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (1): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (2): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (3): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (4): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (5): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (6): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (7): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (8): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (9): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (10): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
          (11): BertLayer(
            (attention): BertAttention(
              (self): BertSelfAttention(
                (query): Linear(in_features=768, out_features=768, bias=True)
                (key): Linear(in_features=768, out_features=768, bias=True)
                (value): Linear(in_features=768, out_features=768, bias=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
              (output): BertSelfOutput(
                (dense): Linear(in_features=768, out_features=768, bias=True)
                (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
                (dropout): Dropout(p=0.1, inplace=False)
              )
            )
            (intermediate): BertIntermediate(
              (dense): Linear(in_features=768, out_features=3072, bias=True)
            )
            (output): BertOutput(
              (dense): Linear(in_features=3072, out_features=768, bias=True)
              (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
              (dropout): Dropout(p=0.1, inplace=False)
            )
          )
        )
      )
      (pooler): BertPooler(
        (dense): Linear(in_features=768, out_features=768, bias=True)
        (activation): Tanh()
      )
    )
  )
  (word_dropout): WordDropout(p=0.05)
  (locked_dropout): LockedDropout(p=0.5)
  (embedding2nn): Linear(in_features=3072, out_features=3072, bias=True)
  (rnn): LSTM(3072, 256, batch_first=True, bidirectional=True)
  (linear): Linear(in_features=512, out_features=20, bias=True)
  (beta): 1.0
  (weights): None
  (weight_tensor) None
)"
2020-06-10 13:55:19,733 ----------------------------------------------------------------------------------------------------
2020-06-10 13:55:19,733 Corpus: "Corpus: 15806 train + 2895 dev + 5195 test sentences"
2020-06-10 13:55:19,733 ----------------------------------------------------------------------------------------------------
2020-06-10 13:55:19,733 Parameters:
2020-06-10 13:55:19,733  - learning_rate: "0.1"
2020-06-10 13:55:19,733  - mini_batch_size: "32"
2020-06-10 13:55:19,733  - patience: "3"
2020-06-10 13:55:19,733  - anneal_factor: "0.5"
2020-06-10 13:55:19,733  - max_epochs: "150"
2020-06-10 13:55:19,734  - shuffle: "True"
2020-06-10 13:55:19,734  - train_with_dev: "True"
2020-06-10 13:55:19,734  - batch_growth_annealing: "False"
2020-06-10 13:55:19,734 ----------------------------------------------------------------------------------------------------
2020-06-10 13:55:19,734 Model training base path: "resources/taggers/dutch-ner_0"
2020-06-10 13:55:19,734 ----------------------------------------------------------------------------------------------------
2020-06-10 13:55:19,734 Device: cuda:0
2020-06-10 13:55:19,734 ----------------------------------------------------------------------------------------------------
2020-06-10 13:55:19,734 Embeddings storage mode: cpu
2020-06-10 13:55:19,735 ----------------------------------------------------------------------------------------------------
2020-06-10 13:55:55,367 epoch 1 - iter 58/585 - loss 7.44500494 - samples/sec: 52.10
2020-06-10 13:56:32,477 epoch 1 - iter 116/585 - loss 5.71532992 - samples/sec: 50.19
2020-06-10 13:57:08,799 epoch 1 - iter 174/585 - loss 4.81553929 - samples/sec: 51.25
2020-06-10 13:57:45,860 epoch 1 - iter 232/585 - loss 4.23070532 - samples/sec: 50.23
2020-06-10 13:58:23,414 epoch 1 - iter 290/585 - loss 3.81440106 - samples/sec: 49.57
2020-06-10 13:59:02,069 epoch 1 - iter 348/585 - loss 3.51687529 - samples/sec: 48.15
2020-06-10 13:59:38,314 epoch 1 - iter 406/585 - loss 3.27189025 - samples/sec: 51.37
2020-06-10 14:00:14,454 epoch 1 - iter 464/585 - loss 3.08788621 - samples/sec: 51.52
2020-06-10 14:00:51,712 epoch 1 - iter 522/585 - loss 2.92738831 - samples/sec: 49.96
2020-06-10 14:01:27,628 epoch 1 - iter 580/585 - loss 2.79257311 - samples/sec: 51.84
2020-06-10 14:01:30,498 ----------------------------------------------------------------------------------------------------
2020-06-10 14:01:30,498 EPOCH 1 done: loss 2.7797 - lr 0.1000000
2020-06-10 14:01:30,498 BAD EPOCHS (no improvement): 0
2020-06-10 14:01:30,499 ----------------------------------------------------------------------------------------------------
2020-06-10 14:01:38,664 epoch 2 - iter 58/585 - loss 1.50409687 - samples/sec: 227.43
2020-06-10 14:01:49,166 epoch 2 - iter 116/585 - loss 1.49932242 - samples/sec: 178.59
2020-06-10 14:01:57,379 epoch 2 - iter 174/585 - loss 1.45277478 - samples/sec: 229.06
2020-06-10 14:02:05,887 epoch 2 - iter 232/585 - loss 1.47528978 - samples/sec: 220.97
2020-06-10 14:02:15,359 epoch 2 - iter 290/585 - loss 1.44308892 - samples/sec: 198.22
2020-06-10 14:02:24,071 epoch 2 - iter 348/585 - loss 1.41997902 - samples/sec: 215.75
2020-06-10 14:02:33,730 epoch 2 - iter 406/585 - loss 1.38969835 - samples/sec: 194.34
2020-06-10 14:02:41,793 epoch 2 - iter 464/585 - loss 1.36343999 - samples/sec: 233.31
2020-06-10 14:02:50,313 epoch 2 - iter 522/585 - loss 1.34440047 - samples/sec: 220.59
2020-06-10 14:02:59,751 epoch 2 - iter 580/585 - loss 1.34243915 - samples/sec: 199.00
2020-06-10 14:03:00,547 ----------------------------------------------------------------------------------------------------
2020-06-10 14:03:00,547 EPOCH 2 done: loss 1.3395 - lr 0.1000000
2020-06-10 14:03:00,547 BAD EPOCHS (no improvement): 0
2020-06-10 14:03:00,547 ----------------------------------------------------------------------------------------------------
2020-06-10 14:03:08,646 epoch 3 - iter 58/585 - loss 1.15550070 - samples/sec: 229.31
2020-06-10 14:03:18,950 epoch 3 - iter 116/585 - loss 1.13809713 - samples/sec: 182.05
2020-06-10 14:03:28,998 epoch 3 - iter 174/585 - loss 1.14986492 - samples/sec: 186.75
2020-06-10 14:03:37,362 epoch 3 - iter 232/585 - loss 1.11569572 - samples/sec: 224.82
2020-06-10 14:03:48,247 epoch 3 - iter 290/585 - loss 1.11814693 - samples/sec: 172.25
2020-06-10 14:03:56,706 epoch 3 - iter 348/585 - loss 1.09342995 - samples/sec: 222.27
2020-06-10 14:04:05,002 epoch 3 - iter 406/585 - loss 1.09101027 - samples/sec: 226.70
2020-06-10 14:04:13,174 epoch 3 - iter 464/585 - loss 1.09469936 - samples/sec: 230.18
2020-06-10 14:04:21,799 epoch 3 - iter 522/585 - loss 1.09101183 - samples/sec: 217.93
2020-06-10 14:04:30,254 epoch 3 - iter 580/585 - loss 1.08194808 - samples/sec: 222.37
2020-06-10 14:04:30,928 ----------------------------------------------------------------------------------------------------
2020-06-10 14:04:30,928 EPOCH 3 done: loss 1.0817 - lr 0.1000000
2020-06-10 14:04:30,928 BAD EPOCHS (no improvement): 0
2020-06-10 14:04:30,928 ----------------------------------------------------------------------------------------------------
2020-06-10 14:04:40,196 epoch 4 - iter 58/585 - loss 1.01980888 - samples/sec: 200.36
2020-06-10 14:04:48,501 epoch 4 - iter 116/585 - loss 0.98329788 - samples/sec: 226.42
2020-06-10 14:04:57,079 epoch 4 - iter 174/585 - loss 0.99588535 - samples/sec: 219.12
2020-06-10 14:05:07,001 epoch 4 - iter 232/585 - loss 0.99822259 - samples/sec: 189.11
2020-06-10 14:05:16,651 epoch 4 - iter 290/585 - loss 1.00201490 - samples/sec: 194.54
2020-06-10 14:05:24,860 epoch 4 - iter 348/585 - loss 0.99839868 - samples/sec: 229.08
2020-06-10 14:05:33,248 epoch 4 - iter 406/585 - loss 0.98360304 - samples/sec: 224.14
2020-06-10 14:05:43,552 epoch 4 - iter 464/585 - loss 0.97544503 - samples/sec: 182.03
2020-06-10 14:05:51,907 epoch 4 - iter 522/585 - loss 0.96397048 - samples/sec: 225.13
2020-06-10 14:06:00,150 epoch 4 - iter 580/585 - loss 0.96112836 - samples/sec: 228.17
2020-06-10 14:06:01,085 ----------------------------------------------------------------------------------------------------
2020-06-10 14:06:01,085 EPOCH 4 done: loss 0.9621 - lr 0.1000000
2020-06-10 14:06:01,085 BAD EPOCHS (no improvement): 0
2020-06-10 14:06:01,086 ----------------------------------------------------------------------------------------------------
2020-06-10 14:06:09,571 epoch 5 - iter 58/585 - loss 0.81831565 - samples/sec: 218.85
2020-06-10 14:06:17,919 epoch 5 - iter 116/585 - loss 0.78431643 - samples/sec: 225.27
2020-06-10 14:06:26,355 epoch 5 - iter 174/585 - loss 0.81632052 - samples/sec: 222.93
2020-06-10 14:06:37,732 epoch 5 - iter 232/585 - loss 0.80789516 - samples/sec: 164.73
2020-06-10 14:06:45,895 epoch 5 - iter 290/585 - loss 0.79228917 - samples/sec: 230.53
2020-06-10 14:06:54,837 epoch 5 - iter 348/585 - loss 0.79651500 - samples/sec: 210.09
2020-06-10 14:07:05,339 epoch 5 - iter 406/585 - loss 0.82205529 - samples/sec: 178.55
2020-06-10 14:07:13,926 epoch 5 - iter 464/585 - loss 0.82618898 - samples/sec: 219.00
2020-06-10 14:07:22,393 epoch 5 - iter 522/585 - loss 0.83017238 - samples/sec: 222.03
2020-06-10 14:07:30,812 epoch 5 - iter 580/585 - loss 0.83438582 - samples/sec: 223.39
2020-06-10 14:07:31,457 ----------------------------------------------------------------------------------------------------
2020-06-10 14:07:31,457 EPOCH 5 done: loss 0.8334 - lr 0.1000000
2020-06-10 14:07:31,457 BAD EPOCHS (no improvement): 0
2020-06-10 14:07:31,457 ----------------------------------------------------------------------------------------------------
2020-06-10 14:07:41,868 epoch 6 - iter 58/585 - loss 0.84188058 - samples/sec: 178.37
2020-06-10 14:07:52,277 epoch 6 - iter 116/585 - loss 0.80577367 - samples/sec: 180.18
2020-06-10 14:08:00,729 epoch 6 - iter 174/585 - loss 0.79408833 - samples/sec: 222.47
2020-06-10 14:08:09,035 epoch 6 - iter 232/585 - loss 0.78322398 - samples/sec: 226.35
2020-06-10 14:08:17,140 epoch 6 - iter 290/585 - loss 0.76799442 - samples/sec: 232.10
2020-06-10 14:08:26,823 epoch 6 - iter 348/585 - loss 0.76017064 - samples/sec: 193.83
2020-06-10 14:08:35,592 epoch 6 - iter 406/585 - loss 0.77101610 - samples/sec: 214.28
2020-06-10 14:08:44,203 epoch 6 - iter 464/585 - loss 0.77481754 - samples/sec: 218.26
2020-06-10 14:08:52,646 epoch 6 - iter 522/585 - loss 0.78125980 - samples/sec: 222.70
2020-06-10 14:09:00,875 epoch 6 - iter 580/585 - loss 0.77244332 - samples/sec: 228.56
2020-06-10 14:09:01,736 ----------------------------------------------------------------------------------------------------
2020-06-10 14:09:01,736 EPOCH 6 done: loss 0.7717 - lr 0.1000000
2020-06-10 14:09:01,736 BAD EPOCHS (no improvement): 0
2020-06-10 14:09:01,736 ----------------------------------------------------------------------------------------------------
2020-06-10 14:09:10,069 epoch 7 - iter 58/585 - loss 0.73871826 - samples/sec: 222.86
2020-06-10 14:09:18,458 epoch 7 - iter 116/585 - loss 0.76483367 - samples/sec: 224.14
2020-06-10 14:09:27,807 epoch 7 - iter 174/585 - loss 0.74837321 - samples/sec: 200.88
2020-06-10 14:09:37,373 epoch 7 - iter 232/585 - loss 0.73185904 - samples/sec: 196.22
2020-06-10 14:09:45,788 epoch 7 - iter 290/585 - loss 0.74174361 - samples/sec: 223.49
2020-06-10 14:09:54,359 epoch 7 - iter 348/585 - loss 0.72367623 - samples/sec: 219.33
2020-06-10 14:10:03,080 epoch 7 - iter 406/585 - loss 0.72813128 - samples/sec: 215.52
2020-06-10 14:10:12,719 epoch 7 - iter 464/585 - loss 0.72719295 - samples/sec: 194.69
2020-06-10 14:10:22,596 epoch 7 - iter 522/585 - loss 0.73489369 - samples/sec: 189.98
2020-06-10 14:10:30,786 epoch 7 - iter 580/585 - loss 0.73756257 - samples/sec: 229.64
2020-06-10 14:10:31,487 ----------------------------------------------------------------------------------------------------
2020-06-10 14:10:31,487 EPOCH 7 done: loss 0.7375 - lr 0.1000000
2020-06-10 14:10:31,487 BAD EPOCHS (no improvement): 0
2020-06-10 14:10:31,487 ----------------------------------------------------------------------------------------------------
2020-06-10 14:10:40,047 epoch 8 - iter 58/585 - loss 0.72750255 - samples/sec: 216.95
2020-06-10 14:10:48,137 epoch 8 - iter 116/585 - loss 0.68978728 - samples/sec: 232.54
2020-06-10 14:10:56,699 epoch 8 - iter 174/585 - loss 0.68399550 - samples/sec: 219.62
2020-06-10 14:11:04,823 epoch 8 - iter 232/585 - loss 0.68052041 - samples/sec: 231.56
2020-06-10 14:11:13,322 epoch 8 - iter 290/585 - loss 0.68091751 - samples/sec: 221.21
2020-06-10 14:11:21,659 epoch 8 - iter 348/585 - loss 0.67868548 - samples/sec: 225.58
2020-06-10 14:11:31,450 epoch 8 - iter 406/585 - loss 0.67453550 - samples/sec: 191.66
2020-06-10 14:11:40,702 epoch 8 - iter 464/585 - loss 0.67321873 - samples/sec: 202.99
2020-06-10 14:11:50,897 epoch 8 - iter 522/585 - loss 0.68064295 - samples/sec: 184.00
2020-06-10 14:12:01,109 epoch 8 - iter 580/585 - loss 0.69627599 - samples/sec: 183.67
2020-06-10 14:12:01,836 ----------------------------------------------------------------------------------------------------
2020-06-10 14:12:01,836 EPOCH 8 done: loss 0.6992 - lr 0.1000000
2020-06-10 14:12:01,836 BAD EPOCHS (no improvement): 0
2020-06-10 14:12:01,836 ----------------------------------------------------------------------------------------------------
2020-06-10 14:12:13,591 epoch 9 - iter 58/585 - loss 0.62095169 - samples/sec: 157.96
2020-06-10 14:12:22,091 epoch 9 - iter 116/585 - loss 0.64286804 - samples/sec: 221.18
2020-06-10 14:12:31,126 epoch 9 - iter 174/585 - loss 0.62941032 - samples/sec: 207.89
2020-06-10 14:12:39,188 epoch 9 - iter 232/585 - loss 0.62474789 - samples/sec: 233.39
2020-06-10 14:12:47,486 epoch 9 - iter 290/585 - loss 0.63029012 - samples/sec: 226.64
2020-06-10 14:12:56,414 epoch 9 - iter 348/585 - loss 0.63704887 - samples/sec: 210.42
2020-06-10 14:13:04,508 epoch 9 - iter 406/585 - loss 0.64083396 - samples/sec: 232.41
2020-06-10 14:13:14,349 epoch 9 - iter 464/585 - loss 0.64772038 - samples/sec: 190.68
2020-06-10 14:13:22,736 epoch 9 - iter 522/585 - loss 0.65021463 - samples/sec: 224.25
2020-06-10 14:13:30,908 epoch 9 - iter 580/585 - loss 0.64704674 - samples/sec: 230.18
2020-06-10 14:13:31,619 ----------------------------------------------------------------------------------------------------
2020-06-10 14:13:31,620 EPOCH 9 done: loss 0.6453 - lr 0.1000000
2020-06-10 14:13:31,620 BAD EPOCHS (no improvement): 0
2020-06-10 14:13:31,620 ----------------------------------------------------------------------------------------------------
2020-06-10 14:13:39,522 epoch 10 - iter 58/585 - loss 0.67258752 - samples/sec: 235.00
2020-06-10 14:13:47,485 epoch 10 - iter 116/585 - loss 0.65436908 - samples/sec: 236.26
2020-06-10 14:13:56,221 epoch 10 - iter 174/585 - loss 0.65998169 - samples/sec: 215.16
2020-06-10 14:14:04,823 epoch 10 - iter 232/585 - loss 0.64350584 - samples/sec: 218.53
2020-06-10 14:14:14,386 epoch 10 - iter 290/585 - loss 0.65336884 - samples/sec: 196.31
2020-06-10 14:14:23,068 epoch 10 - iter 348/585 - loss 0.65396873 - samples/sec: 216.50
2020-06-10 14:14:32,771 epoch 10 - iter 406/585 - loss 0.65036746 - samples/sec: 193.45
2020-06-10 14:14:41,096 epoch 10 - iter 464/585 - loss 0.64931632 - samples/sec: 225.82
2020-06-10 14:14:50,439 epoch 10 - iter 522/585 - loss 0.64671052 - samples/sec: 200.99
2020-06-10 14:15:00,320 epoch 10 - iter 580/585 - loss 0.64972773 - samples/sec: 189.92
2020-06-10 14:15:01,019 ----------------------------------------------------------------------------------------------------
2020-06-10 14:15:01,020 EPOCH 10 done: loss 0.6467 - lr 0.1000000
2020-06-10 14:15:01,020 BAD EPOCHS (no improvement): 1
2020-06-10 14:15:01,020 ----------------------------------------------------------------------------------------------------
2020-06-10 14:15:09,118 epoch 11 - iter 58/585 - loss 0.66192587 - samples/sec: 229.32
2020-06-10 14:15:18,875 epoch 11 - iter 116/585 - loss 0.63092516 - samples/sec: 192.36
2020-06-10 14:15:28,694 epoch 11 - iter 174/585 - loss 0.61281451 - samples/sec: 191.15
2020-06-10 14:15:38,015 epoch 11 - iter 232/585 - loss 0.61068384 - samples/sec: 201.45
2020-06-10 14:15:46,629 epoch 11 - iter 290/585 - loss 0.61150706 - samples/sec: 218.23
2020-06-10 14:15:54,802 epoch 11 - iter 348/585 - loss 0.61808007 - samples/sec: 230.21
2020-06-10 14:16:05,505 epoch 11 - iter 406/585 - loss 0.62232304 - samples/sec: 175.18
2020-06-10 14:16:13,806 epoch 11 - iter 464/585 - loss 0.62121961 - samples/sec: 226.59
2020-06-10 14:16:22,274 epoch 11 - iter 522/585 - loss 0.61933244 - samples/sec: 221.98
2020-06-10 14:16:30,634 epoch 11 - iter 580/585 - loss 0.62041808 - samples/sec: 224.97
2020-06-10 14:16:31,404 ----------------------------------------------------------------------------------------------------
2020-06-10 14:16:31,404 EPOCH 11 done: loss 0.6202 - lr 0.1000000
2020-06-10 14:16:31,404 BAD EPOCHS (no improvement): 0
2020-06-10 14:16:31,404 ----------------------------------------------------------------------------------------------------
2020-06-10 14:16:40,091 epoch 12 - iter 58/585 - loss 0.57836431 - samples/sec: 213.78
2020-06-10 14:16:48,338 epoch 12 - iter 116/585 - loss 0.58313736 - samples/sec: 228.05
2020-06-10 14:16:56,910 epoch 12 - iter 174/585 - loss 0.59617180 - samples/sec: 219.34
2020-06-10 14:17:06,513 epoch 12 - iter 232/585 - loss 0.58194620 - samples/sec: 195.45
2020-06-10 14:17:14,677 epoch 12 - iter 290/585 - loss 0.59188971 - samples/sec: 230.30
2020-06-10 14:17:24,532 epoch 12 - iter 348/585 - loss 0.58349771 - samples/sec: 190.40
2020-06-10 14:17:33,078 epoch 12 - iter 406/585 - loss 0.57780322 - samples/sec: 219.92
2020-06-10 14:17:41,291 epoch 12 - iter 464/585 - loss 0.58160735 - samples/sec: 228.99
2020-06-10 14:17:50,405 epoch 12 - iter 522/585 - loss 0.58878584 - samples/sec: 206.11
2020-06-10 14:18:00,599 epoch 12 - iter 580/585 - loss 0.59579285 - samples/sec: 184.03
2020-06-10 14:18:01,461 ----------------------------------------------------------------------------------------------------
2020-06-10 14:18:01,461 EPOCH 12 done: loss 0.5951 - lr 0.1000000
2020-06-10 14:18:01,461 BAD EPOCHS (no improvement): 0
2020-06-10 14:18:01,462 ----------------------------------------------------------------------------------------------------
2020-06-10 14:18:10,786 epoch 13 - iter 58/585 - loss 0.59304333 - samples/sec: 199.15
2020-06-10 14:18:20,590 epoch 13 - iter 116/585 - loss 0.56864080 - samples/sec: 191.41
2020-06-10 14:18:30,718 epoch 13 - iter 174/585 - loss 0.56426218 - samples/sec: 185.22
2020-06-10 14:18:39,186 epoch 13 - iter 232/585 - loss 0.56877722 - samples/sec: 221.99
2020-06-10 14:18:47,264 epoch 13 - iter 290/585 - loss 0.57505416 - samples/sec: 232.89
2020-06-10 14:18:55,371 epoch 13 - iter 348/585 - loss 0.57903313 - samples/sec: 232.05
2020-06-10 14:19:05,272 epoch 13 - iter 406/585 - loss 0.57662651 - samples/sec: 189.56
2020-06-10 14:19:13,739 epoch 13 - iter 464/585 - loss 0.57822626 - samples/sec: 222.05
2020-06-10 14:19:22,114 epoch 13 - iter 522/585 - loss 0.57653575 - samples/sec: 224.55
2020-06-10 14:19:30,666 epoch 13 - iter 580/585 - loss 0.57378184 - samples/sec: 219.84
2020-06-10 14:19:31,460 ----------------------------------------------------------------------------------------------------
2020-06-10 14:19:31,461 EPOCH 13 done: loss 0.5727 - lr 0.1000000
2020-06-10 14:19:31,461 BAD EPOCHS (no improvement): 0
2020-06-10 14:19:31,461 ----------------------------------------------------------------------------------------------------
2020-06-10 14:19:39,691 epoch 14 - iter 58/585 - loss 0.53531226 - samples/sec: 225.63
2020-06-10 14:19:47,909 epoch 14 - iter 116/585 - loss 0.55489253 - samples/sec: 228.86
2020-06-10 14:19:56,873 epoch 14 - iter 174/585 - loss 0.54943859 - samples/sec: 209.58
2020-06-10 14:20:04,805 epoch 14 - iter 232/585 - loss 0.55613089 - samples/sec: 237.23
2020-06-10 14:20:15,553 epoch 14 - iter 290/585 - loss 0.55730685 - samples/sec: 174.44
2020-06-10 14:20:23,759 epoch 14 - iter 348/585 - loss 0.56095420 - samples/sec: 229.16
2020-06-10 14:20:31,984 epoch 14 - iter 406/585 - loss 0.56336741 - samples/sec: 228.70
2020-06-10 14:20:41,726 epoch 14 - iter 464/585 - loss 0.56916589 - samples/sec: 192.67
2020-06-10 14:20:52,137 epoch 14 - iter 522/585 - loss 0.56675277 - samples/sec: 180.17
2020-06-10 14:21:00,855 epoch 14 - iter 580/585 - loss 0.56637704 - samples/sec: 215.58
2020-06-10 14:21:01,552 ----------------------------------------------------------------------------------------------------
2020-06-10 14:21:01,552 EPOCH 14 done: loss 0.5663 - lr 0.1000000
2020-06-10 14:21:01,552 BAD EPOCHS (no improvement): 0
2020-06-10 14:21:01,553 ----------------------------------------------------------------------------------------------------
2020-06-10 14:21:10,075 epoch 15 - iter 58/585 - loss 0.51985852 - samples/sec: 217.89
2020-06-10 14:21:18,436 epoch 15 - iter 116/585 - loss 0.52824497 - samples/sec: 224.95
2020-06-10 14:21:26,744 epoch 15 - iter 174/585 - loss 0.54583163 - samples/sec: 226.33
2020-06-10 14:21:35,522 epoch 15 - iter 232/585 - loss 0.53374449 - samples/sec: 214.08
2020-06-10 14:21:44,149 epoch 15 - iter 290/585 - loss 0.52801355 - samples/sec: 217.84
2020-06-10 14:21:52,774 epoch 15 - iter 348/585 - loss 0.53294537 - samples/sec: 217.94
2020-06-10 14:22:04,386 epoch 15 - iter 406/585 - loss 0.53278326 - samples/sec: 161.35
2020-06-10 14:22:13,006 epoch 15 - iter 464/585 - loss 0.53553660 - samples/sec: 218.09
2020-06-10 14:22:21,072 epoch 15 - iter 522/585 - loss 0.53328402 - samples/sec: 233.23
2020-06-10 14:22:31,294 epoch 15 - iter 580/585 - loss 0.53452527 - samples/sec: 183.52
2020-06-10 14:22:32,100 ----------------------------------------------------------------------------------------------------
2020-06-10 14:22:32,100 EPOCH 15 done: loss 0.5357 - lr 0.1000000
2020-06-10 14:22:32,100 BAD EPOCHS (no improvement): 0
2020-06-10 14:22:32,100 ----------------------------------------------------------------------------------------------------
2020-06-10 14:22:41,258 epoch 16 - iter 58/585 - loss 0.49086553 - samples/sec: 202.77
2020-06-10 14:22:49,421 epoch 16 - iter 116/585 - loss 0.52416965 - samples/sec: 230.39
2020-06-10 14:22:59,254 epoch 16 - iter 174/585 - loss 0.51257007 - samples/sec: 190.87
2020-06-10 14:23:07,507 epoch 16 - iter 232/585 - loss 0.51380599 - samples/sec: 227.93
2020-06-10 14:23:17,885 epoch 16 - iter 290/585 - loss 0.52074395 - samples/sec: 180.73
2020-06-10 14:23:26,365 epoch 16 - iter 348/585 - loss 0.52928090 - samples/sec: 221.68
2020-06-10 14:23:34,727 epoch 16 - iter 406/585 - loss 0.52757470 - samples/sec: 224.89
2020-06-10 14:23:42,908 epoch 16 - iter 464/585 - loss 0.52653796 - samples/sec: 229.91
2020-06-10 14:23:51,115 epoch 16 - iter 522/585 - loss 0.52911389 - samples/sec: 229.12
2020-06-10 14:24:01,108 epoch 16 - iter 580/585 - loss 0.53010582 - samples/sec: 187.74
2020-06-10 14:24:01,810 ----------------------------------------------------------------------------------------------------
2020-06-10 14:24:01,810 EPOCH 16 done: loss 0.5295 - lr 0.1000000
2020-06-10 14:24:01,810 BAD EPOCHS (no improvement): 0
2020-06-10 14:24:01,810 ----------------------------------------------------------------------------------------------------
2020-06-10 14:24:10,271 epoch 17 - iter 58/585 - loss 0.51472821 - samples/sec: 219.49
2020-06-10 14:24:18,960 epoch 17 - iter 116/585 - loss 0.51058517 - samples/sec: 216.31
2020-06-10 14:24:28,230 epoch 17 - iter 174/585 - loss 0.52760301 - samples/sec: 202.58
2020-06-10 14:24:36,385 epoch 17 - iter 232/585 - loss 0.52142429 - samples/sec: 230.66
2020-06-10 14:24:44,497 epoch 17 - iter 290/585 - loss 0.50957934 - samples/sec: 231.92
2020-06-10 14:24:54,133 epoch 17 - iter 348/585 - loss 0.50543789 - samples/sec: 194.77
2020-06-10 14:25:02,664 epoch 17 - iter 406/585 - loss 0.51586339 - samples/sec: 220.36
2020-06-10 14:25:12,296 epoch 17 - iter 464/585 - loss 0.51475171 - samples/sec: 194.91
2020-06-10 14:25:22,579 epoch 17 - iter 522/585 - loss 0.51547951 - samples/sec: 182.43
2020-06-10 14:25:31,056 epoch 17 - iter 580/585 - loss 0.51934946 - samples/sec: 221.76
2020-06-10 14:25:31,844 ----------------------------------------------------------------------------------------------------
2020-06-10 14:25:31,845 EPOCH 17 done: loss 0.5199 - lr 0.1000000
2020-06-10 14:25:31,845 BAD EPOCHS (no improvement): 0
2020-06-10 14:25:31,845 ----------------------------------------------------------------------------------------------------
2020-06-10 14:25:39,950 epoch 18 - iter 58/585 - loss 0.52384528 - samples/sec: 229.11
2020-06-10 14:25:48,306 epoch 18 - iter 116/585 - loss 0.54925368 - samples/sec: 225.01
2020-06-10 14:25:56,523 epoch 18 - iter 174/585 - loss 0.53555413 - samples/sec: 228.94
2020-06-10 14:26:04,878 epoch 18 - iter 232/585 - loss 0.52795676 - samples/sec: 225.02
2020-06-10 14:26:14,631 epoch 18 - iter 290/585 - loss 0.52593106 - samples/sec: 192.43
2020-06-10 14:26:23,666 epoch 18 - iter 348/585 - loss 0.52834766 - samples/sec: 207.90
2020-06-10 14:26:34,679 epoch 18 - iter 406/585 - loss 0.52540728 - samples/sec: 170.22
2020-06-10 14:26:42,968 epoch 18 - iter 464/585 - loss 0.52420367 - samples/sec: 226.86
2020-06-10 14:26:51,084 epoch 18 - iter 522/585 - loss 0.52313452 - samples/sec: 231.73
2020-06-10 14:27:00,969 epoch 18 - iter 580/585 - loss 0.51976934 - samples/sec: 189.84
2020-06-10 14:27:01,652 ----------------------------------------------------------------------------------------------------
2020-06-10 14:27:01,652 EPOCH 18 done: loss 0.5174 - lr 0.1000000
2020-06-10 14:27:01,652 BAD EPOCHS (no improvement): 0
2020-06-10 14:27:01,653 ----------------------------------------------------------------------------------------------------
2020-06-10 14:27:10,100 epoch 19 - iter 58/585 - loss 0.46793919 - samples/sec: 219.84
2020-06-10 14:27:19,058 epoch 19 - iter 116/585 - loss 0.51491813 - samples/sec: 209.72
2020-06-10 14:27:28,822 epoch 19 - iter 174/585 - loss 0.50580353 - samples/sec: 192.19
2020-06-10 14:27:37,189 epoch 19 - iter 232/585 - loss 0.48675555 - samples/sec: 224.71
2020-06-10 14:27:47,331 epoch 19 - iter 290/585 - loss 0.49568924 - samples/sec: 185.00
2020-06-10 14:27:55,279 epoch 19 - iter 348/585 - loss 0.49024788 - samples/sec: 236.74
2020-06-10 14:28:03,746 epoch 19 - iter 406/585 - loss 0.49085774 - samples/sec: 222.07
2020-06-10 14:28:11,999 epoch 19 - iter 464/585 - loss 0.49204545 - samples/sec: 227.89
2020-06-10 14:28:21,619 epoch 19 - iter 522/585 - loss 0.49543361 - samples/sec: 195.10
2020-06-10 14:28:31,067 epoch 19 - iter 580/585 - loss 0.49717133 - samples/sec: 198.70
2020-06-10 14:28:31,895 ----------------------------------------------------------------------------------------------------
2020-06-10 14:28:31,895 EPOCH 19 done: loss 0.4973 - lr 0.1000000
2020-06-10 14:28:31,895 BAD EPOCHS (no improvement): 0
2020-06-10 14:28:31,895 ----------------------------------------------------------------------------------------------------
2020-06-10 14:28:40,102 epoch 20 - iter 58/585 - loss 0.47891317 - samples/sec: 226.28
2020-06-10 14:28:48,740 epoch 20 - iter 116/585 - loss 0.47956397 - samples/sec: 217.58
2020-06-10 14:28:59,167 epoch 20 - iter 174/585 - loss 0.50187052 - samples/sec: 179.84
2020-06-10 14:29:07,612 epoch 20 - iter 232/585 - loss 0.49924839 - samples/sec: 222.60
2020-06-10 14:29:17,310 epoch 20 - iter 290/585 - loss 0.49571130 - samples/sec: 193.53
2020-06-10 14:29:26,024 epoch 20 - iter 348/585 - loss 0.49092508 - samples/sec: 215.69
2020-06-10 14:29:34,448 epoch 20 - iter 406/585 - loss 0.48435482 - samples/sec: 223.16
2020-06-10 14:29:42,797 epoch 20 - iter 464/585 - loss 0.48442630 - samples/sec: 225.22
2020-06-10 14:29:52,135 epoch 20 - iter 522/585 - loss 0.48829965 - samples/sec: 201.02
2020-06-10 14:30:01,085 epoch 20 - iter 580/585 - loss 0.48610226 - samples/sec: 209.92
2020-06-10 14:30:01,830 ----------------------------------------------------------------------------------------------------
2020-06-10 14:30:01,830 EPOCH 20 done: loss 0.4859 - lr 0.1000000
2020-06-10 14:30:01,830 BAD EPOCHS (no improvement): 0
2020-06-10 14:30:01,831 ----------------------------------------------------------------------------------------------------
2020-06-10 14:30:11,573 epoch 21 - iter 58/585 - loss 0.49337272 - samples/sec: 190.60
2020-06-10 14:30:20,191 epoch 21 - iter 116/585 - loss 0.49949164 - samples/sec: 218.08
2020-06-10 14:30:29,740 epoch 21 - iter 174/585 - loss 0.50458779 - samples/sec: 196.64
2020-06-10 14:30:37,766 epoch 21 - iter 232/585 - loss 0.49909866 - samples/sec: 234.33
2020-06-10 14:30:48,028 epoch 21 - iter 290/585 - loss 0.51297125 - samples/sec: 182.77
2020-06-10 14:30:56,411 epoch 21 - iter 348/585 - loss 0.51062399 - samples/sec: 224.26
2020-06-10 14:31:04,648 epoch 21 - iter 406/585 - loss 0.49901448 - samples/sec: 228.29
2020-06-10 14:31:13,146 epoch 21 - iter 464/585 - loss 0.49591069 - samples/sec: 221.25
2020-06-10 14:31:21,763 epoch 21 - iter 522/585 - loss 0.49653915 - samples/sec: 218.15
2020-06-10 14:31:29,855 epoch 21 - iter 580/585 - loss 0.49462001 - samples/sec: 232.45
2020-06-10 14:31:30,563 ----------------------------------------------------------------------------------------------------
2020-06-10 14:31:30,563 EPOCH 21 done: loss 0.4955 - lr 0.1000000
2020-06-10 14:31:30,563 BAD EPOCHS (no improvement): 1
2020-06-10 14:31:30,564 ----------------------------------------------------------------------------------------------------
2020-06-10 14:31:38,726 epoch 22 - iter 58/585 - loss 0.46153482 - samples/sec: 227.52
2020-06-10 14:31:48,363 epoch 22 - iter 116/585 - loss 0.48511257 - samples/sec: 194.73
2020-06-10 14:31:56,555 epoch 22 - iter 174/585 - loss 0.46356278 - samples/sec: 229.64
2020-06-10 14:32:05,092 epoch 22 - iter 232/585 - loss 0.46630512 - samples/sec: 220.20
2020-06-10 14:32:13,721 epoch 22 - iter 290/585 - loss 0.47257182 - samples/sec: 217.82
2020-06-10 14:32:25,382 epoch 22 - iter 348/585 - loss 0.46698341 - samples/sec: 160.63
2020-06-10 14:32:33,572 epoch 22 - iter 406/585 - loss 0.47157617 - samples/sec: 229.62
2020-06-10 14:32:41,508 epoch 22 - iter 464/585 - loss 0.46724368 - samples/sec: 237.06
2020-06-10 14:32:50,603 epoch 22 - iter 522/585 - loss 0.47240884 - samples/sec: 206.47
2020-06-10 14:32:59,469 epoch 22 - iter 580/585 - loss 0.47418591 - samples/sec: 211.89
2020-06-10 14:33:00,214 ----------------------------------------------------------------------------------------------------
2020-06-10 14:33:00,214 EPOCH 22 done: loss 0.4751 - lr 0.1000000
2020-06-10 14:33:00,214 BAD EPOCHS (no improvement): 0
2020-06-10 14:33:00,214 ----------------------------------------------------------------------------------------------------
2020-06-10 14:33:08,526 epoch 23 - iter 58/585 - loss 0.50933923 - samples/sec: 223.42
2020-06-10 14:33:18,306 epoch 23 - iter 116/585 - loss 0.47789904 - samples/sec: 191.85
2020-06-10 14:33:26,185 epoch 23 - iter 174/585 - loss 0.48083843 - samples/sec: 238.86
2020-06-10 14:33:34,175 epoch 23 - iter 232/585 - loss 0.47209739 - samples/sec: 235.50
2020-06-10 14:33:44,098 epoch 23 - iter 290/585 - loss 0.45927733 - samples/sec: 189.10
2020-06-10 14:33:52,190 epoch 23 - iter 348/585 - loss 0.45357126 - samples/sec: 232.47
2020-06-10 14:34:00,868 epoch 23 - iter 406/585 - loss 0.45111815 - samples/sec: 216.56
2020-06-10 14:34:09,310 epoch 23 - iter 464/585 - loss 0.45129581 - samples/sec: 222.69
2020-06-10 14:34:20,280 epoch 23 - iter 522/585 - loss 0.45340122 - samples/sec: 170.89
2020-06-10 14:34:28,609 epoch 23 - iter 580/585 - loss 0.45396284 - samples/sec: 225.83
2020-06-10 14:34:29,436 ----------------------------------------------------------------------------------------------------
2020-06-10 14:34:29,436 EPOCH 23 done: loss 0.4534 - lr 0.1000000
2020-06-10 14:34:29,436 BAD EPOCHS (no improvement): 0
2020-06-10 14:34:29,436 ----------------------------------------------------------------------------------------------------
2020-06-10 14:34:37,942 epoch 24 - iter 58/585 - loss 0.50792148 - samples/sec: 218.32
2020-06-10 14:34:46,560 epoch 24 - iter 116/585 - loss 0.50298641 - samples/sec: 218.11
2020-06-10 14:34:54,848 epoch 24 - iter 174/585 - loss 0.49181147 - samples/sec: 226.86
2020-06-10 14:35:02,962 epoch 24 - iter 232/585 - loss 0.45929407 - samples/sec: 231.81
2020-06-10 14:35:12,128 epoch 24 - iter 290/585 - loss 0.46163582 - samples/sec: 204.90
2020-06-10 14:35:21,591 epoch 24 - iter 348/585 - loss 0.45294029 - samples/sec: 198.40
2020-06-10 14:35:29,740 epoch 24 - iter 406/585 - loss 0.45053624 - samples/sec: 230.80
2020-06-10 14:35:38,097 epoch 24 - iter 464/585 - loss 0.44974841 - samples/sec: 224.97
2020-06-10 14:35:49,756 epoch 24 - iter 522/585 - loss 0.45543160 - samples/sec: 160.69
2020-06-10 14:35:58,077 epoch 24 - iter 580/585 - loss 0.45208604 - samples/sec: 225.91
2020-06-10 14:35:58,846 ----------------------------------------------------------------------------------------------------
2020-06-10 14:35:58,846 EPOCH 24 done: loss 0.4507 - lr 0.1000000
2020-06-10 14:35:58,846 BAD EPOCHS (no improvement): 0
2020-06-10 14:35:58,847 ----------------------------------------------------------------------------------------------------
2020-06-10 14:36:09,187 epoch 25 - iter 58/585 - loss 0.47610599 - samples/sec: 179.58
2020-06-10 14:36:17,690 epoch 25 - iter 116/585 - loss 0.46832315 - samples/sec: 221.03
2020-06-10 14:36:26,051 epoch 25 - iter 174/585 - loss 0.46757924 - samples/sec: 224.86
2020-06-10 14:36:35,021 epoch 25 - iter 232/585 - loss 0.45551031 - samples/sec: 209.42
2020-06-10 14:36:43,431 epoch 25 - iter 290/585 - loss 0.45910271 - samples/sec: 223.63
2020-06-10 14:36:54,363 epoch 25 - iter 348/585 - loss 0.44820055 - samples/sec: 171.45
2020-06-10 14:37:02,461 epoch 25 - iter 406/585 - loss 0.44318814 - samples/sec: 232.33
2020-06-10 14:37:10,929 epoch 25 - iter 464/585 - loss 0.44190834 - samples/sec: 221.97
2020-06-10 14:37:19,164 epoch 25 - iter 522/585 - loss 0.44920808 - samples/sec: 228.39
2020-06-10 14:37:27,515 epoch 25 - iter 580/585 - loss 0.44752967 - samples/sec: 225.19
2020-06-10 14:37:28,286 ----------------------------------------------------------------------------------------------------
2020-06-10 14:37:28,286 EPOCH 25 done: loss 0.4471 - lr 0.1000000
2020-06-10 14:37:28,286 BAD EPOCHS (no improvement): 0
2020-06-10 14:37:28,286 ----------------------------------------------------------------------------------------------------
2020-06-10 14:37:36,447 epoch 26 - iter 58/585 - loss 0.41395364 - samples/sec: 227.55
2020-06-10 14:37:44,750 epoch 26 - iter 116/585 - loss 0.40910872 - samples/sec: 226.44
2020-06-10 14:37:54,741 epoch 26 - iter 174/585 - loss 0.43488443 - samples/sec: 187.80
2020-06-10 14:38:03,031 epoch 26 - iter 232/585 - loss 0.42982250 - samples/sec: 226.86
2020-06-10 14:38:12,547 epoch 26 - iter 290/585 - loss 0.42995207 - samples/sec: 197.26
2020-06-10 14:38:20,765 epoch 26 - iter 348/585 - loss 0.43769509 - samples/sec: 228.84
2020-06-10 14:38:28,912 epoch 26 - iter 406/585 - loss 0.43403481 - samples/sec: 230.88
2020-06-10 14:38:38,579 epoch 26 - iter 464/585 - loss 0.42814663 - samples/sec: 194.15
2020-06-10 14:38:46,911 epoch 26 - iter 522/585 - loss 0.42444362 - samples/sec: 225.61
2020-06-10 14:38:56,469 epoch 26 - iter 580/585 - loss 0.43609612 - samples/sec: 196.37
2020-06-10 14:38:57,130 ----------------------------------------------------------------------------------------------------
2020-06-10 14:38:57,130 EPOCH 26 done: loss 0.4351 - lr 0.1000000
2020-06-10 14:38:57,130 BAD EPOCHS (no improvement): 0
2020-06-10 14:38:57,130 ----------------------------------------------------------------------------------------------------
2020-06-10 14:39:06,623 epoch 27 - iter 58/585 - loss 0.44957369 - samples/sec: 195.60
2020-06-10 14:39:14,772 epoch 27 - iter 116/585 - loss 0.44412980 - samples/sec: 230.79
2020-06-10 14:39:23,122 epoch 27 - iter 174/585 - loss 0.43923594 - samples/sec: 225.20
2020-06-10 14:39:32,784 epoch 27 - iter 232/585 - loss 0.44235919 - samples/sec: 194.28
2020-06-10 14:39:42,774 epoch 27 - iter 290/585 - loss 0.44385143 - samples/sec: 187.75
2020-06-10 14:39:50,989 epoch 27 - iter 348/585 - loss 0.44589828 - samples/sec: 228.85
2020-06-10 14:39:58,971 epoch 27 - iter 406/585 - loss 0.44076911 - samples/sec: 235.68
2020-06-10 14:40:07,022 epoch 27 - iter 464/585 - loss 0.43875851 - samples/sec: 233.64
2020-06-10 14:40:17,208 epoch 27 - iter 522/585 - loss 0.43627264 - samples/sec: 184.15
2020-06-10 14:40:25,594 epoch 27 - iter 580/585 - loss 0.43472892 - samples/sec: 224.24
2020-06-10 14:40:26,410 ----------------------------------------------------------------------------------------------------
2020-06-10 14:40:26,410 EPOCH 27 done: loss 0.4357 - lr 0.1000000
2020-06-10 14:40:26,410 BAD EPOCHS (no improvement): 1
2020-06-10 14:40:26,410 ----------------------------------------------------------------------------------------------------
2020-06-10 14:40:34,864 epoch 28 - iter 58/585 - loss 0.37628856 - samples/sec: 219.67
2020-06-10 14:40:43,796 epoch 28 - iter 116/585 - loss 0.41615911 - samples/sec: 210.32
2020-06-10 14:40:52,076 epoch 28 - iter 174/585 - loss 0.43068087 - samples/sec: 227.15
2020-06-10 14:41:01,836 epoch 28 - iter 232/585 - loss 0.44171798 - samples/sec: 192.24
2020-06-10 14:41:12,266 epoch 28 - iter 290/585 - loss 0.43705770 - samples/sec: 179.79
2020-06-10 14:41:20,715 epoch 28 - iter 348/585 - loss 0.42850558 - samples/sec: 222.54
2020-06-10 14:41:28,761 epoch 28 - iter 406/585 - loss 0.42826207 - samples/sec: 233.74
2020-06-10 14:41:38,435 epoch 28 - iter 464/585 - loss 0.43320813 - samples/sec: 194.00
2020-06-10 14:41:46,659 epoch 28 - iter 522/585 - loss 0.43399778 - samples/sec: 228.62
2020-06-10 14:41:54,928 epoch 28 - iter 580/585 - loss 0.43355722 - samples/sec: 227.42
2020-06-10 14:41:55,675 ----------------------------------------------------------------------------------------------------
2020-06-10 14:41:55,676 EPOCH 28 done: loss 0.4333 - lr 0.1000000
2020-06-10 14:41:55,676 BAD EPOCHS (no improvement): 0
2020-06-10 14:41:55,676 ----------------------------------------------------------------------------------------------------
2020-06-10 14:42:03,928 epoch 29 - iter 58/585 - loss 0.35992677 - samples/sec: 225.04
2020-06-10 14:42:12,594 epoch 29 - iter 116/585 - loss 0.38013354 - samples/sec: 216.83
2020-06-10 14:42:21,923 epoch 29 - iter 174/585 - loss 0.38770866 - samples/sec: 201.27
2020-06-10 14:42:29,967 epoch 29 - iter 232/585 - loss 0.39905914 - samples/sec: 233.86
2020-06-10 14:42:39,622 epoch 29 - iter 290/585 - loss 0.39613474 - samples/sec: 194.40
2020-06-10 14:42:48,241 epoch 29 - iter 348/585 - loss 0.40383682 - samples/sec: 218.02
2020-06-10 14:42:57,841 epoch 29 - iter 406/585 - loss 0.40443677 - samples/sec: 195.51
2020-06-10 14:43:06,086 epoch 29 - iter 464/585 - loss 0.40812788 - samples/sec: 228.13
2020-06-10 14:43:16,059 epoch 29 - iter 522/585 - loss 0.41900616 - samples/sec: 188.12
2020-06-10 14:43:24,230 epoch 29 - iter 580/585 - loss 0.42155529 - samples/sec: 230.17
2020-06-10 14:43:24,960 ----------------------------------------------------------------------------------------------------
2020-06-10 14:43:24,960 EPOCH 29 done: loss 0.4214 - lr 0.1000000
2020-06-10 14:43:24,960 BAD EPOCHS (no improvement): 0
2020-06-10 14:43:24,960 ----------------------------------------------------------------------------------------------------
2020-06-10 14:43:33,340 epoch 30 - iter 58/585 - loss 0.42696466 - samples/sec: 221.60
2020-06-10 14:43:41,588 epoch 30 - iter 116/585 - loss 0.44361306 - samples/sec: 228.10
2020-06-10 14:43:49,493 epoch 30 - iter 174/585 - loss 0.43592906 - samples/sec: 238.03
2020-06-10 14:43:58,089 epoch 30 - iter 232/585 - loss 0.42133104 - samples/sec: 218.65
2020-06-10 14:44:06,955 epoch 30 - iter 290/585 - loss 0.40312886 - samples/sec: 211.92
2020-06-10 14:44:18,419 epoch 30 - iter 348/585 - loss 0.40122278 - samples/sec: 163.44
2020-06-10 14:44:27,428 epoch 30 - iter 406/585 - loss 0.41343964 - samples/sec: 208.55
2020-06-10 14:44:36,947 epoch 30 - iter 464/585 - loss 0.41810272 - samples/sec: 197.22
2020-06-10 14:44:45,367 epoch 30 - iter 522/585 - loss 0.42089002 - samples/sec: 223.29
2020-06-10 14:44:53,495 epoch 30 - iter 580/585 - loss 0.41936800 - samples/sec: 231.50
2020-06-10 14:44:54,250 ----------------------------------------------------------------------------------------------------
2020-06-10 14:44:54,250 EPOCH 30 done: loss 0.4190 - lr 0.1000000
2020-06-10 14:44:54,250 BAD EPOCHS (no improvement): 0
2020-06-10 14:44:54,250 ----------------------------------------------------------------------------------------------------
2020-06-10 14:45:02,507 epoch 31 - iter 58/585 - loss 0.45303771 - samples/sec: 224.90
2020-06-10 14:45:11,145 epoch 31 - iter 116/585 - loss 0.42612832 - samples/sec: 217.63
2020-06-10 14:45:21,557 epoch 31 - iter 174/585 - loss 0.42445335 - samples/sec: 180.13
2020-06-10 14:45:30,724 epoch 31 - iter 232/585 - loss 0.42797490 - samples/sec: 204.88
2020-06-10 14:45:38,802 epoch 31 - iter 290/585 - loss 0.43103150 - samples/sec: 232.87
2020-06-10 14:45:46,918 epoch 31 - iter 348/585 - loss 0.42207290 - samples/sec: 231.76
2020-06-10 14:45:57,775 epoch 31 - iter 406/585 - loss 0.42431887 - samples/sec: 172.68
2020-06-10 14:46:06,170 epoch 31 - iter 464/585 - loss 0.42424989 - samples/sec: 223.93
2020-06-10 14:46:14,175 epoch 31 - iter 522/585 - loss 0.42678940 - samples/sec: 235.02
2020-06-10 14:46:22,568 epoch 31 - iter 580/585 - loss 0.42406346 - samples/sec: 224.06
2020-06-10 14:46:23,680 ----------------------------------------------------------------------------------------------------
2020-06-10 14:46:23,680 EPOCH 31 done: loss 0.4243 - lr 0.1000000
2020-06-10 14:46:23,680 BAD EPOCHS (no improvement): 1
2020-06-10 14:46:23,680 ----------------------------------------------------------------------------------------------------
2020-06-10 14:46:31,943 epoch 32 - iter 58/585 - loss 0.41150708 - samples/sec: 224.74
2020-06-10 14:46:39,977 epoch 32 - iter 116/585 - loss 0.41682914 - samples/sec: 234.20
2020-06-10 14:46:48,138 epoch 32 - iter 174/585 - loss 0.42263251 - samples/sec: 230.44
2020-06-10 14:46:58,012 epoch 32 - iter 232/585 - loss 0.41544879 - samples/sec: 190.09
2020-06-10 14:47:06,415 epoch 32 - iter 290/585 - loss 0.41917930 - samples/sec: 223.74
2020-06-10 14:47:14,805 epoch 32 - iter 348/585 - loss 0.41436673 - samples/sec: 224.11
2020-06-10 14:47:23,595 epoch 32 - iter 406/585 - loss 0.41574482 - samples/sec: 213.76
2020-06-10 14:47:33,026 epoch 32 - iter 464/585 - loss 0.41218259 - samples/sec: 199.07
2020-06-10 14:47:41,112 epoch 32 - iter 522/585 - loss 0.41234377 - samples/sec: 232.65
2020-06-10 14:47:52,467 epoch 32 - iter 580/585 - loss 0.41064326 - samples/sec: 165.02
2020-06-10 14:47:53,266 ----------------------------------------------------------------------------------------------------
2020-06-10 14:47:53,266 EPOCH 32 done: loss 0.4111 - lr 0.1000000
2020-06-10 14:47:53,266 BAD EPOCHS (no improvement): 0
2020-06-10 14:47:53,267 ----------------------------------------------------------------------------------------------------
2020-06-10 14:48:01,234 epoch 33 - iter 58/585 - loss 0.41786921 - samples/sec: 233.10
2020-06-10 14:48:11,199 epoch 33 - iter 116/585 - loss 0.41593086 - samples/sec: 188.25
2020-06-10 14:48:19,647 epoch 33 - iter 174/585 - loss 0.41132766 - samples/sec: 222.55
2020-06-10 14:48:28,128 epoch 33 - iter 232/585 - loss 0.40979250 - samples/sec: 221.70
2020-06-10 14:48:37,804 epoch 33 - iter 290/585 - loss 0.41458695 - samples/sec: 193.99
2020-06-10 14:48:47,363 epoch 33 - iter 348/585 - loss 0.41983079 - samples/sec: 196.37
2020-06-10 14:48:55,493 epoch 33 - iter 406/585 - loss 0.41494238 - samples/sec: 231.44
2020-06-10 14:49:05,145 epoch 33 - iter 464/585 - loss 0.41200974 - samples/sec: 194.48
2020-06-10 14:49:13,291 epoch 33 - iter 522/585 - loss 0.41166204 - samples/sec: 230.95
2020-06-10 14:49:21,984 epoch 33 - iter 580/585 - loss 0.40944792 - samples/sec: 216.20
2020-06-10 14:49:22,696 ----------------------------------------------------------------------------------------------------
2020-06-10 14:49:22,697 EPOCH 33 done: loss 0.4081 - lr 0.1000000
2020-06-10 14:49:22,697 BAD EPOCHS (no improvement): 0
2020-06-10 14:49:22,697 ----------------------------------------------------------------------------------------------------
2020-06-10 14:49:31,038 epoch 34 - iter 58/585 - loss 0.41532362 - samples/sec: 222.63
2020-06-10 14:49:41,059 epoch 34 - iter 116/585 - loss 0.39522580 - samples/sec: 187.27
2020-06-10 14:49:49,580 epoch 34 - iter 174/585 - loss 0.40450377 - samples/sec: 220.62
2020-06-10 14:49:57,847 epoch 34 - iter 232/585 - loss 0.40542744 - samples/sec: 227.48
2020-06-10 14:50:08,399 epoch 34 - iter 290/585 - loss 0.39720431 - samples/sec: 177.74
2020-06-10 14:50:18,462 epoch 34 - iter 348/585 - loss 0.39807002 - samples/sec: 186.44
2020-06-10 14:50:26,768 epoch 34 - iter 406/585 - loss 0.39977460 - samples/sec: 226.40
2020-06-10 14:50:34,757 epoch 34 - iter 464/585 - loss 0.39474579 - samples/sec: 235.46
2020-06-10 14:50:43,124 epoch 34 - iter 522/585 - loss 0.39902485 - samples/sec: 224.70
2020-06-10 14:50:51,216 epoch 34 - iter 580/585 - loss 0.39384786 - samples/sec: 232.48
2020-06-10 14:50:52,030 ----------------------------------------------------------------------------------------------------
2020-06-10 14:50:52,030 EPOCH 34 done: loss 0.3931 - lr 0.1000000
2020-06-10 14:50:52,030 BAD EPOCHS (no improvement): 0
2020-06-10 14:50:52,030 ----------------------------------------------------------------------------------------------------
2020-06-10 14:51:00,425 epoch 35 - iter 58/585 - loss 0.37515141 - samples/sec: 221.21
2020-06-10 14:51:08,468 epoch 35 - iter 116/585 - loss 0.36952667 - samples/sec: 233.89
2020-06-10 14:51:19,781 epoch 35 - iter 174/585 - loss 0.38681490 - samples/sec: 165.63
2020-06-10 14:51:28,035 epoch 35 - iter 232/585 - loss 0.39351224 - samples/sec: 227.90
2020-06-10 14:51:36,165 epoch 35 - iter 290/585 - loss 0.39175187 - samples/sec: 231.36
2020-06-10 14:51:45,357 epoch 35 - iter 348/585 - loss 0.39647800 - samples/sec: 204.32
2020-06-10 14:51:53,699 epoch 35 - iter 406/585 - loss 0.40735947 - samples/sec: 225.46
2020-06-10 14:52:01,842 epoch 35 - iter 464/585 - loss 0.40271504 - samples/sec: 230.95
2020-06-10 14:52:10,539 epoch 35 - iter 522/585 - loss 0.40189959 - samples/sec: 216.14
2020-06-10 14:52:20,293 epoch 35 - iter 580/585 - loss 0.40313569 - samples/sec: 192.47
2020-06-10 14:52:21,229 ----------------------------------------------------------------------------------------------------
2020-06-10 14:52:21,229 EPOCH 35 done: loss 0.4032 - lr 0.1000000
2020-06-10 14:52:21,229 BAD EPOCHS (no improvement): 1
2020-06-10 14:52:21,229 ----------------------------------------------------------------------------------------------------
2020-06-10 14:52:30,593 epoch 36 - iter 58/585 - loss 0.38873649 - samples/sec: 198.31
2020-06-10 14:52:38,557 epoch 36 - iter 116/585 - loss 0.37646858 - samples/sec: 236.23
2020-06-10 14:52:48,040 epoch 36 - iter 174/585 - loss 0.38131598 - samples/sec: 197.90
2020-06-10 14:52:56,153 epoch 36 - iter 232/585 - loss 0.38270185 - samples/sec: 231.85
2020-06-10 14:53:06,571 epoch 36 - iter 290/585 - loss 0.38747887 - samples/sec: 180.02
2020-06-10 14:53:14,872 epoch 36 - iter 348/585 - loss 0.39605806 - samples/sec: 226.49
2020-06-10 14:53:24,260 epoch 36 - iter 406/585 - loss 0.39451199 - samples/sec: 199.96
2020-06-10 14:53:32,420 epoch 36 - iter 464/585 - loss 0.38909644 - samples/sec: 230.48
2020-06-10 14:53:41,048 epoch 36 - iter 522/585 - loss 0.38957806 - samples/sec: 217.86
2020-06-10 14:53:49,327 epoch 36 - iter 580/585 - loss 0.39123066 - samples/sec: 227.09
2020-06-10 14:53:50,108 ----------------------------------------------------------------------------------------------------
2020-06-10 14:53:50,108 EPOCH 36 done: loss 0.3917 - lr 0.1000000
2020-06-10 14:53:50,108 BAD EPOCHS (no improvement): 0
2020-06-10 14:53:50,108 ----------------------------------------------------------------------------------------------------
2020-06-10 14:53:59,415 epoch 37 - iter 58/585 - loss 0.41073088 - samples/sec: 199.52
2020-06-10 14:54:07,935 epoch 37 - iter 116/585 - loss 0.43549428 - samples/sec: 220.66
2020-06-10 14:54:15,914 epoch 37 - iter 174/585 - loss 0.41743315 - samples/sec: 235.83
2020-06-10 14:54:25,470 epoch 37 - iter 232/585 - loss 0.41162380 - samples/sec: 196.43
2020-06-10 14:54:35,232 epoch 37 - iter 290/585 - loss 0.40270532 - samples/sec: 192.24
2020-06-10 14:54:44,147 epoch 37 - iter 348/585 - loss 0.40197446 - samples/sec: 210.82
2020-06-10 14:54:54,016 epoch 37 - iter 406/585 - loss 0.40162516 - samples/sec: 190.12
2020-06-10 14:55:02,160 epoch 37 - iter 464/585 - loss 0.39455762 - samples/sec: 230.90
2020-06-10 14:55:10,194 epoch 37 - iter 522/585 - loss 0.39746417 - samples/sec: 234.18
2020-06-10 14:55:18,395 epoch 37 - iter 580/585 - loss 0.39971837 - samples/sec: 229.29
2020-06-10 14:55:19,104 ----------------------------------------------------------------------------------------------------
2020-06-10 14:55:19,104 EPOCH 37 done: loss 0.4004 - lr 0.1000000
2020-06-10 14:55:19,104 BAD EPOCHS (no improvement): 1
2020-06-10 14:55:19,104 ----------------------------------------------------------------------------------------------------
2020-06-10 14:55:28,567 epoch 38 - iter 58/585 - loss 0.34940552 - samples/sec: 196.23
2020-06-10 14:55:37,152 epoch 38 - iter 116/585 - loss 0.36157331 - samples/sec: 218.89
2020-06-10 14:55:48,611 epoch 38 - iter 174/585 - loss 0.36447241 - samples/sec: 163.49
2020-06-10 14:55:57,188 epoch 38 - iter 232/585 - loss 0.37209245 - samples/sec: 219.08
2020-06-10 14:56:05,409 epoch 38 - iter 290/585 - loss 0.36634125 - samples/sec: 228.84
2020-06-10 14:56:15,177 epoch 38 - iter 348/585 - loss 0.37053578 - samples/sec: 192.11
2020-06-10 14:56:23,363 epoch 38 - iter 406/585 - loss 0.37262562 - samples/sec: 229.77
2020-06-10 14:56:31,673 epoch 38 - iter 464/585 - loss 0.38180118 - samples/sec: 226.30
2020-06-10 14:56:39,793 epoch 38 - iter 522/585 - loss 0.38426541 - samples/sec: 231.62
2020-06-10 14:56:47,623 epoch 38 - iter 580/585 - loss 0.38657956 - samples/sec: 240.33
2020-06-10 14:56:48,348 ----------------------------------------------------------------------------------------------------
2020-06-10 14:56:48,348 EPOCH 38 done: loss 0.3853 - lr 0.1000000
2020-06-10 14:56:48,348 BAD EPOCHS (no improvement): 0
2020-06-10 14:56:48,349 ----------------------------------------------------------------------------------------------------
2020-06-10 14:56:57,583 epoch 39 - iter 58/585 - loss 0.40276962 - samples/sec: 201.10
2020-06-10 14:57:06,528 epoch 39 - iter 116/585 - loss 0.39069552 - samples/sec: 209.99
2020-06-10 14:57:16,012 epoch 39 - iter 174/585 - loss 0.38865029 - samples/sec: 197.96
2020-06-10 14:57:24,279 epoch 39 - iter 232/585 - loss 0.38037863 - samples/sec: 227.46
2020-06-10 14:57:33,008 epoch 39 - iter 290/585 - loss 0.38799957 - samples/sec: 215.30
2020-06-10 14:57:41,607 epoch 39 - iter 348/585 - loss 0.39263310 - samples/sec: 218.60
2020-06-10 14:57:49,696 epoch 39 - iter 406/585 - loss 0.38386484 - samples/sec: 232.46
2020-06-10 14:57:57,609 epoch 39 - iter 464/585 - loss 0.38520449 - samples/sec: 237.71
2020-06-10 14:58:06,569 epoch 39 - iter 522/585 - loss 0.38153383 - samples/sec: 209.61
2020-06-10 14:58:16,688 epoch 39 - iter 580/585 - loss 0.38323552 - samples/sec: 185.39
2020-06-10 14:58:17,440 ----------------------------------------------------------------------------------------------------
2020-06-10 14:58:17,440 EPOCH 39 done: loss 0.3835 - lr 0.1000000
2020-06-10 14:58:17,440 BAD EPOCHS (no improvement): 0
2020-06-10 14:58:17,440 ----------------------------------------------------------------------------------------------------
2020-06-10 14:58:29,068 epoch 40 - iter 58/585 - loss 0.36382807 - samples/sec: 159.69
2020-06-10 14:58:37,182 epoch 40 - iter 116/585 - loss 0.35884247 - samples/sec: 231.81
2020-06-10 14:58:45,540 epoch 40 - iter 174/585 - loss 0.36491119 - samples/sec: 224.90
2020-06-10 14:58:54,825 epoch 40 - iter 232/585 - loss 0.35490226 - samples/sec: 202.23
2020-06-10 14:59:02,845 epoch 40 - iter 290/585 - loss 0.36498864 - samples/sec: 234.52
2020-06-10 14:59:11,241 epoch 40 - iter 348/585 - loss 0.37243350 - samples/sec: 223.88
2020-06-10 14:59:19,745 epoch 40 - iter 406/585 - loss 0.38003516 - samples/sec: 220.96
2020-06-10 14:59:28,873 epoch 40 - iter 464/585 - loss 0.37978915 - samples/sec: 205.72
2020-06-10 14:59:37,236 epoch 40 - iter 522/585 - loss 0.38127039 - samples/sec: 224.76
2020-06-10 14:59:45,357 epoch 40 - iter 580/585 - loss 0.37954117 - samples/sec: 231.57
2020-06-10 14:59:46,057 ----------------------------------------------------------------------------------------------------
2020-06-10 14:59:46,057 EPOCH 40 done: loss 0.3804 - lr 0.1000000
2020-06-10 14:59:46,057 BAD EPOCHS (no improvement): 0
2020-06-10 14:59:46,057 ----------------------------------------------------------------------------------------------------
2020-06-10 14:59:57,353 epoch 41 - iter 58/585 - loss 0.38185902 - samples/sec: 164.38
2020-06-10 15:00:05,631 epoch 41 - iter 116/585 - loss 0.38091240 - samples/sec: 227.19
2020-06-10 15:00:14,295 epoch 41 - iter 174/585 - loss 0.37023474 - samples/sec: 216.84
2020-06-10 15:00:22,423 epoch 41 - iter 232/585 - loss 0.37510554 - samples/sec: 231.39
2020-06-10 15:00:31,534 epoch 41 - iter 290/585 - loss 0.36288137 - samples/sec: 206.13
2020-06-10 15:00:39,635 epoch 41 - iter 348/585 - loss 0.36622144 - samples/sec: 232.19
2020-06-10 15:00:47,920 epoch 41 - iter 406/585 - loss 0.36853275 - samples/sec: 226.96
2020-06-10 15:00:55,979 epoch 41 - iter 464/585 - loss 0.37088159 - samples/sec: 233.40
2020-06-10 15:01:05,535 epoch 41 - iter 522/585 - loss 0.37091676 - samples/sec: 196.38
2020-06-10 15:01:13,993 epoch 41 - iter 580/585 - loss 0.37722368 - samples/sec: 222.26
2020-06-10 15:01:14,762 ----------------------------------------------------------------------------------------------------
2020-06-10 15:01:14,763 EPOCH 41 done: loss 0.3764 - lr 0.1000000
2020-06-10 15:01:14,763 BAD EPOCHS (no improvement): 0
2020-06-10 15:01:14,763 ----------------------------------------------------------------------------------------------------
2020-06-10 15:01:24,027 epoch 42 - iter 58/585 - loss 0.36895027 - samples/sec: 200.44
2020-06-10 15:01:35,436 epoch 42 - iter 116/585 - loss 0.36352481 - samples/sec: 164.23
2020-06-10 15:01:44,567 epoch 42 - iter 174/585 - loss 0.37526966 - samples/sec: 205.69
2020-06-10 15:01:52,639 epoch 42 - iter 232/585 - loss 0.37867709 - samples/sec: 232.98
2020-06-10 15:02:00,768 epoch 42 - iter 290/585 - loss 0.38403989 - samples/sec: 231.40
2020-06-10 15:02:09,312 epoch 42 - iter 348/585 - loss 0.37937904 - samples/sec: 220.00
2020-06-10 15:02:17,263 epoch 42 - iter 406/585 - loss 0.37621152 - samples/sec: 236.66
2020-06-10 15:02:25,906 epoch 42 - iter 464/585 - loss 0.37682157 - samples/sec: 217.40
2020-06-10 15:02:34,336 epoch 42 - iter 522/585 - loss 0.37640995 - samples/sec: 223.01
2020-06-10 15:02:42,880 epoch 42 - iter 580/585 - loss 0.37717440 - samples/sec: 220.08
2020-06-10 15:02:43,783 ----------------------------------------------------------------------------------------------------
2020-06-10 15:02:43,783 EPOCH 42 done: loss 0.3761 - lr 0.1000000
2020-06-10 15:02:43,783 BAD EPOCHS (no improvement): 0
2020-06-10 15:02:43,784 ----------------------------------------------------------------------------------------------------
2020-06-10 15:02:52,586 epoch 43 - iter 58/585 - loss 0.37555301 - samples/sec: 210.96
2020-06-10 15:03:02,438 epoch 43 - iter 116/585 - loss 0.38850401 - samples/sec: 190.48
2020-06-10 15:03:10,755 epoch 43 - iter 174/585 - loss 0.38841203 - samples/sec: 226.06
2020-06-10 15:03:19,161 epoch 43 - iter 232/585 - loss 0.39213648 - samples/sec: 223.61
2020-06-10 15:03:29,591 epoch 43 - iter 290/585 - loss 0.39373085 - samples/sec: 179.78
2020-06-10 15:03:37,799 epoch 43 - iter 348/585 - loss 0.38972399 - samples/sec: 229.07
2020-06-10 15:03:46,011 epoch 43 - iter 406/585 - loss 0.38848403 - samples/sec: 228.97
2020-06-10 15:03:53,823 epoch 43 - iter 464/585 - loss 0.38948648 - samples/sec: 240.87
2020-06-10 15:04:01,866 epoch 43 - iter 522/585 - loss 0.38789279 - samples/sec: 233.85
2020-06-10 15:04:11,449 epoch 43 - iter 580/585 - loss 0.38670321 - samples/sec: 195.88
2020-06-10 15:04:12,263 ----------------------------------------------------------------------------------------------------
2020-06-10 15:04:12,263 EPOCH 43 done: loss 0.3852 - lr 0.1000000
2020-06-10 15:04:12,263 BAD EPOCHS (no improvement): 1
2020-06-10 15:04:12,264 ----------------------------------------------------------------------------------------------------
2020-06-10 15:04:20,543 epoch 44 - iter 58/585 - loss 0.32319760 - samples/sec: 224.30
2020-06-10 15:04:28,751 epoch 44 - iter 116/585 - loss 0.34007571 - samples/sec: 229.12
2020-06-10 15:04:37,260 epoch 44 - iter 174/585 - loss 0.34496204 - samples/sec: 220.83
2020-06-10 15:04:46,710 epoch 44 - iter 232/585 - loss 0.35887664 - samples/sec: 198.65
2020-06-10 15:04:56,132 epoch 44 - iter 290/585 - loss 0.36557269 - samples/sec: 199.27
2020-06-10 15:05:04,231 epoch 44 - iter 348/585 - loss 0.36157476 - samples/sec: 232.24
2020-06-10 15:05:14,354 epoch 44 - iter 406/585 - loss 0.36976383 - samples/sec: 185.31
2020-06-10 15:05:22,750 epoch 44 - iter 464/585 - loss 0.37635555 - samples/sec: 223.96
2020-06-10 15:05:31,353 epoch 44 - iter 522/585 - loss 0.37696798 - samples/sec: 218.41
2020-06-10 15:05:41,000 epoch 44 - iter 580/585 - loss 0.37634663 - samples/sec: 194.55
2020-06-10 15:05:41,705 ----------------------------------------------------------------------------------------------------
2020-06-10 15:05:41,706 EPOCH 44 done: loss 0.3771 - lr 0.1000000
2020-06-10 15:05:41,706 BAD EPOCHS (no improvement): 2
2020-06-10 15:05:41,706 ----------------------------------------------------------------------------------------------------
2020-06-10 15:05:51,393 epoch 45 - iter 58/585 - loss 0.37636126 - samples/sec: 191.68
2020-06-10 15:05:59,716 epoch 45 - iter 116/585 - loss 0.37384877 - samples/sec: 226.01
2020-06-10 15:06:09,261 epoch 45 - iter 174/585 - loss 0.36560899 - samples/sec: 196.68
2020-06-10 15:06:17,435 epoch 45 - iter 232/585 - loss 0.36535837 - samples/sec: 230.14
2020-06-10 15:06:25,914 epoch 45 - iter 290/585 - loss 0.36602680 - samples/sec: 221.72
2020-06-10 15:06:34,307 epoch 45 - iter 348/585 - loss 0.36249155 - samples/sec: 224.00
2020-06-10 15:06:42,636 epoch 45 - iter 406/585 - loss 0.36120034 - samples/sec: 225.82
2020-06-10 15:06:51,945 epoch 45 - iter 464/585 - loss 0.35771051 - samples/sec: 201.71
2020-06-10 15:07:02,016 epoch 45 - iter 522/585 - loss 0.36031814 - samples/sec: 186.25
2020-06-10 15:07:10,370 epoch 45 - iter 580/585 - loss 0.36217871 - samples/sec: 225.08
2020-06-10 15:07:11,085 ----------------------------------------------------------------------------------------------------
2020-06-10 15:07:11,086 EPOCH 45 done: loss 0.3616 - lr 0.1000000
2020-06-10 15:07:11,086 BAD EPOCHS (no improvement): 0
2020-06-10 15:07:11,086 ----------------------------------------------------------------------------------------------------
2020-06-10 15:07:21,029 epoch 46 - iter 58/585 - loss 0.35172971 - samples/sec: 186.75
2020-06-10 15:07:30,152 epoch 46 - iter 116/585 - loss 0.36775782 - samples/sec: 205.84
2020-06-10 15:07:38,188 epoch 46 - iter 174/585 - loss 0.35517865 - samples/sec: 234.09
2020-06-10 15:07:46,576 epoch 46 - iter 232/585 - loss 0.35520183 - samples/sec: 224.14
2020-06-10 15:07:54,848 epoch 46 - iter 290/585 - loss 0.36165837 - samples/sec: 227.30
2020-06-10 15:08:03,203 epoch 46 - iter 348/585 - loss 0.36374647 - samples/sec: 225.02
2020-06-10 15:08:11,275 epoch 46 - iter 406/585 - loss 0.36334664 - samples/sec: 232.97
2020-06-10 15:08:22,541 epoch 46 - iter 464/585 - loss 0.36703893 - samples/sec: 166.34
2020-06-10 15:08:31,477 epoch 46 - iter 522/585 - loss 0.36894358 - samples/sec: 210.23
2020-06-10 15:08:39,607 epoch 46 - iter 580/585 - loss 0.36707624 - samples/sec: 231.37
2020-06-10 15:08:40,373 ----------------------------------------------------------------------------------------------------
2020-06-10 15:08:40,373 EPOCH 46 done: loss 0.3686 - lr 0.1000000
2020-06-10 15:08:40,373 BAD EPOCHS (no improvement): 1
2020-06-10 15:08:40,374 ----------------------------------------------------------------------------------------------------
2020-06-10 15:08:50,166 epoch 47 - iter 58/585 - loss 0.38910755 - samples/sec: 189.61
2020-06-10 15:08:58,553 epoch 47 - iter 116/585 - loss 0.36912903 - samples/sec: 224.18
2020-06-10 15:09:08,163 epoch 47 - iter 174/585 - loss 0.36727702 - samples/sec: 195.27
2020-06-10 15:09:16,319 epoch 47 - iter 232/585 - loss 0.35295258 - samples/sec: 230.55
2020-06-10 15:09:25,222 epoch 47 - iter 290/585 - loss 0.35731457 - samples/sec: 211.09
2020-06-10 15:09:33,522 epoch 47 - iter 348/585 - loss 0.35306909 - samples/sec: 226.50
2020-06-10 15:09:43,705 epoch 47 - iter 406/585 - loss 0.35577135 - samples/sec: 184.23
2020-06-10 15:09:51,894 epoch 47 - iter 464/585 - loss 0.35747569 - samples/sec: 229.65
2020-06-10 15:10:00,344 epoch 47 - iter 522/585 - loss 0.36071886 - samples/sec: 222.49
2020-06-10 15:10:08,847 epoch 47 - iter 580/585 - loss 0.35711917 - samples/sec: 221.09
2020-06-10 15:10:09,628 ----------------------------------------------------------------------------------------------------
2020-06-10 15:10:09,628 EPOCH 47 done: loss 0.3583 - lr 0.1000000
2020-06-10 15:10:09,628 BAD EPOCHS (no improvement): 0
2020-06-10 15:10:09,629 ----------------------------------------------------------------------------------------------------
2020-06-10 15:10:18,008 epoch 48 - iter 58/585 - loss 0.32886564 - samples/sec: 221.63
2020-06-10 15:10:25,799 epoch 48 - iter 116/585 - loss 0.32081340 - samples/sec: 241.49
2020-06-10 15:10:33,719 epoch 48 - iter 174/585 - loss 0.34989090 - samples/sec: 237.63
2020-06-10 15:10:43,122 epoch 48 - iter 232/585 - loss 0.34243784 - samples/sec: 199.67
2020-06-10 15:10:51,758 epoch 48 - iter 290/585 - loss 0.34255084 - samples/sec: 217.65
2020-06-10 15:11:00,023 epoch 48 - iter 348/585 - loss 0.34779647 - samples/sec: 227.49
2020-06-10 15:11:08,262 epoch 48 - iter 406/585 - loss 0.34398615 - samples/sec: 228.24
2020-06-10 15:11:18,369 epoch 48 - iter 464/585 - loss 0.35535922 - samples/sec: 185.59
2020-06-10 15:11:27,609 epoch 48 - iter 522/585 - loss 0.35911956 - samples/sec: 203.22
2020-06-10 15:11:37,668 epoch 48 - iter 580/585 - loss 0.36028563 - samples/sec: 186.52
2020-06-10 15:11:38,405 ----------------------------------------------------------------------------------------------------
2020-06-10 15:11:38,405 EPOCH 48 done: loss 0.3613 - lr 0.1000000
2020-06-10 15:11:38,405 BAD EPOCHS (no improvement): 1
2020-06-10 15:11:38,405 ----------------------------------------------------------------------------------------------------
2020-06-10 15:11:48,265 epoch 49 - iter 58/585 - loss 0.33654652 - samples/sec: 188.33
2020-06-10 15:11:57,813 epoch 49 - iter 116/585 - loss 0.35674602 - samples/sec: 196.56
2020-06-10 15:12:05,866 epoch 49 - iter 174/585 - loss 0.35205913 - samples/sec: 233.54
2020-06-10 15:12:14,332 epoch 49 - iter 232/585 - loss 0.35634856 - samples/sec: 222.02
2020-06-10 15:12:24,171 epoch 49 - iter 290/585 - loss 0.36098718 - samples/sec: 190.76
2020-06-10 15:12:32,514 epoch 49 - iter 348/585 - loss 0.36187976 - samples/sec: 225.32
2020-06-10 15:12:40,544 epoch 49 - iter 406/585 - loss 0.35687658 - samples/sec: 234.27
2020-06-10 15:12:49,703 epoch 49 - iter 464/585 - loss 0.35334441 - samples/sec: 205.00
2020-06-10 15:12:58,185 epoch 49 - iter 522/585 - loss 0.34838432 - samples/sec: 221.58
2020-06-10 15:13:06,973 epoch 49 - iter 580/585 - loss 0.35130510 - samples/sec: 213.81
2020-06-10 15:13:07,691 ----------------------------------------------------------------------------------------------------
2020-06-10 15:13:07,691 EPOCH 49 done: loss 0.3520 - lr 0.1000000
2020-06-10 15:13:07,691 BAD EPOCHS (no improvement): 0
2020-06-10 15:13:07,692 ----------------------------------------------------------------------------------------------------
2020-06-10 15:13:17,905 epoch 50 - iter 58/585 - loss 0.36127597 - samples/sec: 181.80
2020-06-10 15:13:26,248 epoch 50 - iter 116/585 - loss 0.36635264 - samples/sec: 225.34
2020-06-10 15:13:35,865 epoch 50 - iter 174/585 - loss 0.35989489 - samples/sec: 195.15
2020-06-10 15:13:44,197 epoch 50 - iter 232/585 - loss 0.35386898 - samples/sec: 225.65
2020-06-10 15:13:52,494 epoch 50 - iter 290/585 - loss 0.35557286 - samples/sec: 226.64
2020-06-10 15:14:00,241 epoch 50 - iter 348/585 - loss 0.35022572 - samples/sec: 243.01
2020-06-10 15:14:08,615 epoch 50 - iter 406/585 - loss 0.35166430 - samples/sec: 224.46
2020-06-10 15:14:17,357 epoch 50 - iter 464/585 - loss 0.35236879 - samples/sec: 214.94
2020-06-10 15:14:26,594 epoch 50 - iter 522/585 - loss 0.35589317 - samples/sec: 203.31
2020-06-10 15:14:35,800 epoch 50 - iter 580/585 - loss 0.35491923 - samples/sec: 203.99
2020-06-10 15:14:36,600 ----------------------------------------------------------------------------------------------------
2020-06-10 15:14:36,600 EPOCH 50 done: loss 0.3557 - lr 0.1000000
2020-06-10 15:14:36,600 BAD EPOCHS (no improvement): 1
2020-06-10 15:14:36,601 ----------------------------------------------------------------------------------------------------
2020-06-10 15:14:44,681 epoch 51 - iter 58/585 - loss 0.38581937 - samples/sec: 229.81
2020-06-10 15:14:54,186 epoch 51 - iter 116/585 - loss 0.36983208 - samples/sec: 197.53
2020-06-10 15:15:02,950 epoch 51 - iter 174/585 - loss 0.34703787 - samples/sec: 214.44
2020-06-10 15:15:11,711 epoch 51 - iter 232/585 - loss 0.35421502 - samples/sec: 214.45
2020-06-10 15:15:20,029 epoch 51 - iter 290/585 - loss 0.34609399 - samples/sec: 225.99
2020-06-10 15:15:29,067 epoch 51 - iter 348/585 - loss 0.34741370 - samples/sec: 207.88
2020-06-10 15:15:37,352 epoch 51 - iter 406/585 - loss 0.34867219 - samples/sec: 226.94
2020-06-10 15:15:48,429 epoch 51 - iter 464/585 - loss 0.34531314 - samples/sec: 169.22
2020-06-10 15:15:56,706 epoch 51 - iter 522/585 - loss 0.34281730 - samples/sec: 227.19
2020-06-10 15:16:04,877 epoch 51 - iter 580/585 - loss 0.34494383 - samples/sec: 230.12
2020-06-10 15:16:05,626 ----------------------------------------------------------------------------------------------------
2020-06-10 15:16:05,627 EPOCH 51 done: loss 0.3454 - lr 0.1000000
2020-06-10 15:16:05,627 BAD EPOCHS (no improvement): 0
2020-06-10 15:16:05,627 ----------------------------------------------------------------------------------------------------
2020-06-10 15:16:13,935 epoch 52 - iter 58/585 - loss 0.30136243 - samples/sec: 223.51
2020-06-10 15:16:22,074 epoch 52 - iter 116/585 - loss 0.31708199 - samples/sec: 231.05
2020-06-10 15:16:29,966 epoch 52 - iter 174/585 - loss 0.32261579 - samples/sec: 238.36
2020-06-10 15:16:38,066 epoch 52 - iter 232/585 - loss 0.32625465 - samples/sec: 232.19
2020-06-10 15:16:46,307 epoch 52 - iter 290/585 - loss 0.33408838 - samples/sec: 228.14
2020-06-10 15:16:55,117 epoch 52 - iter 348/585 - loss 0.34417408 - samples/sec: 213.34
2020-06-10 15:17:07,483 epoch 52 - iter 406/585 - loss 0.34405093 - samples/sec: 151.38
2020-06-10 15:17:15,805 epoch 52 - iter 464/585 - loss 0.34820585 - samples/sec: 225.94
2020-06-10 15:17:25,490 epoch 52 - iter 522/585 - loss 0.34822915 - samples/sec: 193.77
2020-06-10 15:17:33,869 epoch 52 - iter 580/585 - loss 0.34919754 - samples/sec: 224.41
2020-06-10 15:17:34,625 ----------------------------------------------------------------------------------------------------
2020-06-10 15:17:34,626 EPOCH 52 done: loss 0.3500 - lr 0.1000000
2020-06-10 15:17:34,626 BAD EPOCHS (no improvement): 1
2020-06-10 15:17:34,626 ----------------------------------------------------------------------------------------------------
2020-06-10 15:17:44,092 epoch 53 - iter 58/585 - loss 0.33253680 - samples/sec: 196.16
2020-06-10 15:17:52,580 epoch 53 - iter 116/585 - loss 0.33070162 - samples/sec: 221.45
2020-06-10 15:18:01,201 epoch 53 - iter 174/585 - loss 0.33236433 - samples/sec: 217.98
2020-06-10 15:18:11,473 epoch 53 - iter 232/585 - loss 0.32623560 - samples/sec: 182.63
2020-06-10 15:18:19,527 epoch 53 - iter 290/585 - loss 0.32898002 - samples/sec: 233.61
2020-06-10 15:18:28,352 epoch 53 - iter 348/585 - loss 0.32716859 - samples/sec: 212.90
2020-06-10 15:18:36,713 epoch 53 - iter 406/585 - loss 0.32494919 - samples/sec: 224.88
2020-06-10 15:18:45,042 epoch 53 - iter 464/585 - loss 0.33223569 - samples/sec: 225.68
2020-06-10 15:18:54,971 epoch 53 - iter 522/585 - loss 0.33398656 - samples/sec: 188.94
2020-06-10 15:19:02,822 epoch 53 - iter 580/585 - loss 0.33450141 - samples/sec: 239.63
2020-06-10 15:19:03,548 ----------------------------------------------------------------------------------------------------
2020-06-10 15:19:03,548 EPOCH 53 done: loss 0.3352 - lr 0.1000000
2020-06-10 15:19:03,548 BAD EPOCHS (no improvement): 0
2020-06-10 15:19:03,548 ----------------------------------------------------------------------------------------------------
2020-06-10 15:19:11,439 epoch 54 - iter 58/585 - loss 0.32647711 - samples/sec: 235.36
2020-06-10 15:19:21,651 epoch 54 - iter 116/585 - loss 0.32522062 - samples/sec: 183.67
2020-06-10 15:19:33,634 epoch 54 - iter 174/585 - loss 0.32931935 - samples/sec: 156.28
2020-06-10 15:19:41,775 epoch 54 - iter 232/585 - loss 0.32552776 - samples/sec: 231.02
2020-06-10 15:19:50,112 epoch 54 - iter 290/585 - loss 0.32811441 - samples/sec: 225.47
2020-06-10 15:19:58,426 epoch 54 - iter 348/585 - loss 0.32435614 - samples/sec: 226.12
2020-06-10 15:20:06,982 epoch 54 - iter 406/585 - loss 0.31960715 - samples/sec: 219.65
2020-06-10 15:20:15,307 epoch 54 - iter 464/585 - loss 0.32128135 - samples/sec: 225.85
2020-06-10 15:20:23,491 epoch 54 - iter 522/585 - loss 0.32498195 - samples/sec: 229.77
2020-06-10 15:20:31,496 epoch 54 - iter 580/585 - loss 0.32684786 - samples/sec: 235.02
2020-06-10 15:20:32,201 ----------------------------------------------------------------------------------------------------
2020-06-10 15:20:32,202 EPOCH 54 done: loss 0.3264 - lr 0.1000000
2020-06-10 15:20:32,202 BAD EPOCHS (no improvement): 0
2020-06-10 15:20:32,202 ----------------------------------------------------------------------------------------------------
2020-06-10 15:20:40,369 epoch 55 - iter 58/585 - loss 0.31755281 - samples/sec: 227.38
2020-06-10 15:20:48,719 epoch 55 - iter 116/585 - loss 0.32985841 - samples/sec: 225.23
2020-06-10 15:20:57,701 epoch 55 - iter 174/585 - loss 0.32533276 - samples/sec: 209.12
2020-06-10 15:21:06,310 epoch 55 - iter 232/585 - loss 0.32187978 - samples/sec: 218.24
2020-06-10 15:21:16,520 epoch 55 - iter 290/585 - loss 0.33108856 - samples/sec: 183.71
2020-06-10 15:21:24,890 epoch 55 - iter 348/585 - loss 0.32979096 - samples/sec: 224.64
2020-06-10 15:21:34,197 epoch 55 - iter 406/585 - loss 0.33090665 - samples/sec: 201.70
2020-06-10 15:21:42,720 epoch 55 - iter 464/585 - loss 0.32939993 - samples/sec: 220.55
2020-06-10 15:21:50,805 epoch 55 - iter 522/585 - loss 0.32363618 - samples/sec: 232.57
2020-06-10 15:22:00,826 epoch 55 - iter 580/585 - loss 0.32681875 - samples/sec: 187.18
2020-06-10 15:22:01,577 ----------------------------------------------------------------------------------------------------
2020-06-10 15:22:01,577 EPOCH 55 done: loss 0.3271 - lr 0.1000000
2020-06-10 15:22:01,577 BAD EPOCHS (no improvement): 1
2020-06-10 15:22:01,577 ----------------------------------------------------------------------------------------------------
2020-06-10 15:22:09,544 epoch 56 - iter 58/585 - loss 0.31105108 - samples/sec: 233.10
2020-06-10 15:22:17,615 epoch 56 - iter 116/585 - loss 0.30975043 - samples/sec: 233.08
2020-06-10 15:22:26,156 epoch 56 - iter 174/585 - loss 0.33191903 - samples/sec: 220.07
2020-06-10 15:22:34,238 epoch 56 - iter 232/585 - loss 0.31576159 - samples/sec: 232.72
2020-06-10 15:22:43,096 epoch 56 - iter 290/585 - loss 0.32357400 - samples/sec: 212.06
2020-06-10 15:22:51,570 epoch 56 - iter 348/585 - loss 0.33351395 - samples/sec: 221.79
2020-06-10 15:23:01,670 epoch 56 - iter 406/585 - loss 0.33081221 - samples/sec: 185.73
2020-06-10 15:23:10,283 epoch 56 - iter 464/585 - loss 0.33332608 - samples/sec: 218.18
2020-06-10 15:23:21,590 epoch 56 - iter 522/585 - loss 0.33679843 - samples/sec: 165.74
2020-06-10 15:23:30,153 epoch 56 - iter 580/585 - loss 0.33451969 - samples/sec: 219.57
2020-06-10 15:23:30,857 ----------------------------------------------------------------------------------------------------
2020-06-10 15:23:30,857 EPOCH 56 done: loss 0.3347 - lr 0.1000000
2020-06-10 15:23:30,857 BAD EPOCHS (no improvement): 2
2020-06-10 15:23:30,857 ----------------------------------------------------------------------------------------------------
2020-06-10 15:23:39,102 epoch 57 - iter 58/585 - loss 0.38426318 - samples/sec: 225.23
2020-06-10 15:23:47,144 epoch 57 - iter 116/585 - loss 0.34928512 - samples/sec: 233.89
2020-06-10 15:23:55,222 epoch 57 - iter 174/585 - loss 0.33890104 - samples/sec: 232.84
2020-06-10 15:24:04,803 epoch 57 - iter 232/585 - loss 0.34017479 - samples/sec: 195.89
2020-06-10 15:24:12,973 epoch 57 - iter 290/585 - loss 0.33826130 - samples/sec: 230.17
2020-06-10 15:24:23,093 epoch 57 - iter 348/585 - loss 0.34130451 - samples/sec: 185.38
2020-06-10 15:24:31,678 epoch 57 - iter 406/585 - loss 0.34054444 - samples/sec: 218.93
2020-06-10 15:24:41,757 epoch 57 - iter 464/585 - loss 0.34094192 - samples/sec: 186.14
2020-06-10 15:24:49,906 epoch 57 - iter 522/585 - loss 0.33532114 - samples/sec: 230.74
2020-06-10 15:24:59,727 epoch 57 - iter 580/585 - loss 0.33698418 - samples/sec: 191.08
2020-06-10 15:25:00,394 ----------------------------------------------------------------------------------------------------
2020-06-10 15:25:00,394 EPOCH 57 done: loss 0.3365 - lr 0.1000000
2020-06-10 15:25:00,394 BAD EPOCHS (no improvement): 3
2020-06-10 15:25:00,394 ----------------------------------------------------------------------------------------------------
2020-06-10 15:25:08,904 epoch 58 - iter 58/585 - loss 0.32704719 - samples/sec: 218.23
2020-06-10 15:25:17,376 epoch 58 - iter 116/585 - loss 0.34427417 - samples/sec: 221.95
2020-06-10 15:25:25,747 epoch 58 - iter 174/585 - loss 0.33483590 - samples/sec: 224.59
2020-06-10 15:25:33,960 epoch 58 - iter 232/585 - loss 0.32735305 - samples/sec: 228.98
2020-06-10 15:25:41,564 epoch 58 - iter 290/585 - loss 0.31847481 - samples/sec: 247.29
2020-06-10 15:25:52,273 epoch 58 - iter 348/585 - loss 0.32481750 - samples/sec: 175.10
2020-06-10 15:26:00,645 epoch 58 - iter 406/585 - loss 0.32863982 - samples/sec: 224.31
2020-06-10 15:26:09,488 epoch 58 - iter 464/585 - loss 0.33279487 - samples/sec: 212.22
2020-06-10 15:26:18,521 epoch 58 - iter 522/585 - loss 0.33449887 - samples/sec: 207.78
2020-06-10 15:26:25,749 epoch 58 - iter 580/585 - loss 0.33557129 - samples/sec: 260.33
2020-06-10 15:26:26,372 ----------------------------------------------------------------------------------------------------
2020-06-10 15:26:26,373 EPOCH 58 done: loss 0.3341 - lr 0.1000000
2020-06-10 15:26:26,373 BAD EPOCHS (no improvement): 4
2020-06-10 15:26:26,373 ----------------------------------------------------------------------------------------------------
2020-06-10 15:26:33,806 epoch 59 - iter 58/585 - loss 0.33882789 - samples/sec: 249.81
2020-06-10 15:26:41,553 epoch 59 - iter 116/585 - loss 0.31503246 - samples/sec: 242.57
2020-06-10 15:26:49,130 epoch 59 - iter 174/585 - loss 0.32134799 - samples/sec: 248.18
2020-06-10 15:26:56,519 epoch 59 - iter 232/585 - loss 0.31741288 - samples/sec: 254.49
2020-06-10 15:27:06,350 epoch 59 - iter 290/585 - loss 0.31299212 - samples/sec: 190.65
2020-06-10 15:27:13,773 epoch 59 - iter 348/585 - loss 0.31123742 - samples/sec: 253.33
2020-06-10 15:27:21,418 epoch 59 - iter 406/585 - loss 0.30993804 - samples/sec: 245.81
2020-06-10 15:27:30,946 epoch 59 - iter 464/585 - loss 0.30758376 - samples/sec: 196.78
2020-06-10 15:27:39,793 epoch 59 - iter 522/585 - loss 0.30823300 - samples/sec: 212.12
2020-06-10 15:27:47,279 epoch 59 - iter 580/585 - loss 0.30729936 - samples/sec: 251.14
2020-06-10 15:27:48,037 ----------------------------------------------------------------------------------------------------
2020-06-10 15:27:48,037 EPOCH 59 done: loss 0.3062 - lr 0.0500000
2020-06-10 15:27:48,037 BAD EPOCHS (no improvement): 0
2020-06-10 15:27:48,037 ----------------------------------------------------------------------------------------------------
2020-06-10 15:27:56,970 epoch 60 - iter 58/585 - loss 0.25733053 - samples/sec: 207.87
2020-06-10 15:28:04,340 epoch 60 - iter 116/585 - loss 0.26416299 - samples/sec: 255.23
2020-06-10 15:28:12,198 epoch 60 - iter 174/585 - loss 0.27501129 - samples/sec: 239.11
2020-06-10 15:28:19,928 epoch 60 - iter 232/585 - loss 0.28133409 - samples/sec: 243.11
2020-06-10 15:28:27,666 epoch 60 - iter 290/585 - loss 0.29189122 - samples/sec: 242.86
2020-06-10 15:28:35,214 epoch 60 - iter 348/585 - loss 0.28739949 - samples/sec: 249.11
2020-06-10 15:28:46,041 epoch 60 - iter 406/585 - loss 0.28413313 - samples/sec: 172.95
2020-06-10 15:28:53,811 epoch 60 - iter 464/585 - loss 0.28446144 - samples/sec: 241.86
2020-06-10 15:29:01,720 epoch 60 - iter 522/585 - loss 0.28848791 - samples/sec: 237.68
2020-06-10 15:29:10,566 epoch 60 - iter 580/585 - loss 0.28650994 - samples/sec: 212.15
2020-06-10 15:29:11,302 ----------------------------------------------------------------------------------------------------
2020-06-10 15:29:11,302 EPOCH 60 done: loss 0.2862 - lr 0.0500000
2020-06-10 15:29:11,302 BAD EPOCHS (no improvement): 0
2020-06-10 15:29:11,302 ----------------------------------------------------------------------------------------------------
2020-06-10 15:29:19,388 epoch 61 - iter 58/585 - loss 0.27264920 - samples/sec: 229.66
2020-06-10 15:29:27,241 epoch 61 - iter 116/585 - loss 0.27740357 - samples/sec: 239.62
2020-06-10 15:29:35,378 epoch 61 - iter 174/585 - loss 0.27088394 - samples/sec: 230.99
2020-06-10 15:29:42,967 epoch 61 - iter 232/585 - loss 0.26844304 - samples/sec: 247.75
2020-06-10 15:29:52,030 epoch 61 - iter 290/585 - loss 0.27408340 - samples/sec: 207.01
2020-06-10 15:29:59,877 epoch 61 - iter 348/585 - loss 0.27864033 - samples/sec: 239.73
2020-06-10 15:30:10,797 epoch 61 - iter 406/585 - loss 0.28165377 - samples/sec: 171.55
2020-06-10 15:30:20,237 epoch 61 - iter 464/585 - loss 0.28414338 - samples/sec: 198.76
2020-06-10 15:30:28,878 epoch 61 - iter 522/585 - loss 0.28395643 - samples/sec: 217.49
2020-06-10 15:30:37,066 epoch 61 - iter 580/585 - loss 0.28314762 - samples/sec: 229.47
2020-06-10 15:30:37,912 ----------------------------------------------------------------------------------------------------
2020-06-10 15:30:37,912 EPOCH 61 done: loss 0.2822 - lr 0.0500000
2020-06-10 15:30:37,912 BAD EPOCHS (no improvement): 0
2020-06-10 15:30:37,912 ----------------------------------------------------------------------------------------------------
2020-06-10 15:30:45,830 epoch 62 - iter 58/585 - loss 0.27011593 - samples/sec: 234.57
2020-06-10 15:30:53,752 epoch 62 - iter 116/585 - loss 0.25195319 - samples/sec: 237.39
2020-06-10 15:31:02,094 epoch 62 - iter 174/585 - loss 0.25233119 - samples/sec: 225.17
2020-06-10 15:31:10,972 epoch 62 - iter 232/585 - loss 0.26920613 - samples/sec: 211.69
2020-06-10 15:31:18,427 epoch 62 - iter 290/585 - loss 0.26473055 - samples/sec: 252.25
2020-06-10 15:31:28,986 epoch 62 - iter 348/585 - loss 0.26811295 - samples/sec: 177.39
2020-06-10 15:31:36,812 epoch 62 - iter 406/585 - loss 0.26295860 - samples/sec: 240.21
2020-06-10 15:31:44,720 epoch 62 - iter 464/585 - loss 0.26535808 - samples/sec: 237.63
2020-06-10 15:31:54,071 epoch 62 - iter 522/585 - loss 0.26670128 - samples/sec: 200.61
2020-06-10 15:32:01,632 epoch 62 - iter 580/585 - loss 0.26965411 - samples/sec: 248.64
2020-06-10 15:32:02,269 ----------------------------------------------------------------------------------------------------
2020-06-10 15:32:02,269 EPOCH 62 done: loss 0.2696 - lr 0.0500000
2020-06-10 15:32:02,269 BAD EPOCHS (no improvement): 0
2020-06-10 15:32:02,269 ----------------------------------------------------------------------------------------------------
2020-06-10 15:32:10,048 epoch 63 - iter 58/585 - loss 0.28505542 - samples/sec: 238.73
2020-06-10 15:32:19,275 epoch 63 - iter 116/585 - loss 0.28620395 - samples/sec: 203.27
2020-06-10 15:32:26,936 epoch 63 - iter 174/585 - loss 0.27302215 - samples/sec: 245.34
2020-06-10 15:32:35,000 epoch 63 - iter 232/585 - loss 0.26887367 - samples/sec: 232.92
2020-06-10 15:32:44,034 epoch 63 - iter 290/585 - loss 0.27295457 - samples/sec: 207.68
2020-06-10 15:32:52,414 epoch 63 - iter 348/585 - loss 0.27094105 - samples/sec: 224.10
2020-06-10 15:33:00,368 epoch 63 - iter 406/585 - loss 0.27156954 - samples/sec: 236.23
2020-06-10 15:33:07,692 epoch 63 - iter 464/585 - loss 0.26509071 - samples/sec: 256.85
2020-06-10 15:33:16,968 epoch 63 - iter 522/585 - loss 0.26645189 - samples/sec: 202.20
2020-06-10 15:33:24,508 epoch 63 - iter 580/585 - loss 0.26681547 - samples/sec: 249.34
2020-06-10 15:33:25,179 ----------------------------------------------------------------------------------------------------
2020-06-10 15:33:25,179 EPOCH 63 done: loss 0.2660 - lr 0.0500000
2020-06-10 15:33:25,179 BAD EPOCHS (no improvement): 0
2020-06-10 15:33:25,179 ----------------------------------------------------------------------------------------------------
2020-06-10 15:33:33,078 epoch 64 - iter 58/585 - loss 0.27948496 - samples/sec: 235.09
2020-06-10 15:33:40,996 epoch 64 - iter 116/585 - loss 0.26060646 - samples/sec: 237.36
2020-06-10 15:33:48,641 epoch 64 - iter 174/585 - loss 0.26448855 - samples/sec: 245.92
2020-06-10 15:33:57,286 epoch 64 - iter 232/585 - loss 0.26252337 - samples/sec: 217.11
2020-06-10 15:34:06,521 epoch 64 - iter 290/585 - loss 0.25893731 - samples/sec: 203.12
2020-06-10 15:34:14,277 epoch 64 - iter 348/585 - loss 0.26029213 - samples/sec: 242.27
2020-06-10 15:34:23,491 epoch 64 - iter 406/585 - loss 0.25282780 - samples/sec: 203.60
2020-06-10 15:34:31,148 epoch 64 - iter 464/585 - loss 0.25286191 - samples/sec: 245.43
2020-06-10 15:34:39,785 epoch 64 - iter 522/585 - loss 0.25587645 - samples/sec: 217.36
2020-06-10 15:34:47,551 epoch 64 - iter 580/585 - loss 0.25552229 - samples/sec: 242.01
2020-06-10 15:34:48,358 ----------------------------------------------------------------------------------------------------
2020-06-10 15:34:48,359 EPOCH 64 done: loss 0.2553 - lr 0.0500000
2020-06-10 15:34:48,359 BAD EPOCHS (no improvement): 0
2020-06-10 15:34:48,359 ----------------------------------------------------------------------------------------------------
2020-06-10 15:34:55,930 epoch 65 - iter 58/585 - loss 0.24552577 - samples/sec: 245.27
2020-06-10 15:35:03,623 epoch 65 - iter 116/585 - loss 0.26118088 - samples/sec: 244.43
2020-06-10 15:35:13,146 epoch 65 - iter 174/585 - loss 0.25715408 - samples/sec: 196.96
2020-06-10 15:35:22,165 epoch 65 - iter 232/585 - loss 0.26391695 - samples/sec: 208.09
2020-06-10 15:35:29,745 epoch 65 - iter 290/585 - loss 0.25549406 - samples/sec: 248.21
2020-06-10 15:35:39,222 epoch 65 - iter 348/585 - loss 0.25269159 - samples/sec: 197.87
2020-06-10 15:35:47,152 epoch 65 - iter 406/585 - loss 0.25154651 - samples/sec: 236.98
2020-06-10 15:35:54,882 epoch 65 - iter 464/585 - loss 0.25192311 - samples/sec: 243.27
2020-06-10 15:36:03,909 epoch 65 - iter 522/585 - loss 0.25433874 - samples/sec: 207.82
2020-06-10 15:36:11,588 epoch 65 - iter 580/585 - loss 0.25500242 - samples/sec: 244.80
2020-06-10 15:36:12,328 ----------------------------------------------------------------------------------------------------
2020-06-10 15:36:12,328 EPOCH 65 done: loss 0.2556 - lr 0.0500000
2020-06-10 15:36:12,328 BAD EPOCHS (no improvement): 1
2020-06-10 15:36:12,329 ----------------------------------------------------------------------------------------------------
2020-06-10 15:36:20,438 epoch 66 - iter 58/585 - loss 0.22504914 - samples/sec: 229.00
2020-06-10 15:36:28,013 epoch 66 - iter 116/585 - loss 0.23536588 - samples/sec: 248.22
2020-06-10 15:36:36,920 epoch 66 - iter 174/585 - loss 0.23420275 - samples/sec: 210.73
2020-06-10 15:36:44,450 epoch 66 - iter 232/585 - loss 0.23846231 - samples/sec: 249.71
2020-06-10 15:36:52,096 epoch 66 - iter 290/585 - loss 0.24064156 - samples/sec: 245.85
2020-06-10 15:36:59,741 epoch 66 - iter 348/585 - loss 0.24216466 - samples/sec: 245.89
2020-06-10 15:37:08,807 epoch 66 - iter 406/585 - loss 0.24867317 - samples/sec: 206.98
2020-06-10 15:37:18,201 epoch 66 - iter 464/585 - loss 0.24878254 - samples/sec: 199.63
2020-06-10 15:37:26,144 epoch 66 - iter 522/585 - loss 0.24834137 - samples/sec: 236.58
2020-06-10 15:37:35,468 epoch 66 - iter 580/585 - loss 0.24961616 - samples/sec: 201.14
2020-06-10 15:37:36,166 ----------------------------------------------------------------------------------------------------
2020-06-10 15:37:36,166 EPOCH 66 done: loss 0.2489 - lr 0.0500000
2020-06-10 15:37:36,166 BAD EPOCHS (no improvement): 0
2020-06-10 15:37:36,166 ----------------------------------------------------------------------------------------------------
2020-06-10 15:37:43,678 epoch 67 - iter 58/585 - loss 0.26292274 - samples/sec: 247.20
2020-06-10 15:37:51,843 epoch 67 - iter 116/585 - loss 0.26540725 - samples/sec: 230.05
2020-06-10 15:38:00,965 epoch 67 - iter 174/585 - loss 0.25249840 - samples/sec: 205.64
2020-06-10 15:38:08,529 epoch 67 - iter 232/585 - loss 0.25069323 - samples/sec: 248.56
2020-06-10 15:38:19,014 epoch 67 - iter 290/585 - loss 0.25358751 - samples/sec: 178.71
2020-06-10 15:38:26,579 epoch 67 - iter 348/585 - loss 0.24984222 - samples/sec: 248.60
2020-06-10 15:38:34,271 epoch 67 - iter 406/585 - loss 0.25082870 - samples/sec: 244.44
2020-06-10 15:38:41,985 epoch 67 - iter 464/585 - loss 0.24986681 - samples/sec: 243.67
2020-06-10 15:38:51,035 epoch 67 - iter 522/585 - loss 0.25200437 - samples/sec: 207.31
2020-06-10 15:38:58,857 epoch 67 - iter 580/585 - loss 0.25334245 - samples/sec: 240.34
2020-06-10 15:38:59,519 ----------------------------------------------------------------------------------------------------
2020-06-10 15:38:59,519 EPOCH 67 done: loss 0.2531 - lr 0.0500000
2020-06-10 15:38:59,519 BAD EPOCHS (no improvement): 1
2020-06-10 15:38:59,520 ----------------------------------------------------------------------------------------------------
2020-06-10 15:39:07,124 epoch 68 - iter 58/585 - loss 0.22831440 - samples/sec: 244.21
2020-06-10 15:39:15,770 epoch 68 - iter 116/585 - loss 0.22352212 - samples/sec: 217.08
2020-06-10 15:39:24,620 epoch 68 - iter 174/585 - loss 0.23481805 - samples/sec: 212.01
2020-06-10 15:39:32,620 epoch 68 - iter 232/585 - loss 0.23761281 - samples/sec: 234.94
2020-06-10 15:39:40,234 epoch 68 - iter 290/585 - loss 0.23533463 - samples/sec: 247.03
2020-06-10 15:39:47,960 epoch 68 - iter 348/585 - loss 0.23498771 - samples/sec: 243.28
2020-06-10 15:39:55,339 epoch 68 - iter 406/585 - loss 0.23304632 - samples/sec: 254.85
2020-06-10 15:40:04,410 epoch 68 - iter 464/585 - loss 0.24017012 - samples/sec: 206.83
2020-06-10 15:40:12,420 epoch 68 - iter 522/585 - loss 0.24174077 - samples/sec: 234.53
2020-06-10 15:40:21,494 epoch 68 - iter 580/585 - loss 0.24180775 - samples/sec: 206.74
2020-06-10 15:40:22,219 ----------------------------------------------------------------------------------------------------
2020-06-10 15:40:22,219 EPOCH 68 done: loss 0.2414 - lr 0.0500000
2020-06-10 15:40:22,219 BAD EPOCHS (no improvement): 0
2020-06-10 15:40:22,219 ----------------------------------------------------------------------------------------------------
2020-06-10 15:40:29,753 epoch 69 - iter 58/585 - loss 0.23602677 - samples/sec: 246.48
2020-06-10 15:40:37,633 epoch 69 - iter 116/585 - loss 0.23664784 - samples/sec: 238.45
2020-06-10 15:40:46,629 epoch 69 - iter 174/585 - loss 0.23442416 - samples/sec: 208.62
2020-06-10 15:40:56,086 epoch 69 - iter 232/585 - loss 0.23504699 - samples/sec: 198.35
2020-06-10 15:41:03,681 epoch 69 - iter 290/585 - loss 0.23563988 - samples/sec: 247.59
2020-06-10 15:41:12,614 epoch 69 - iter 348/585 - loss 0.24201915 - samples/sec: 210.06
2020-06-10 15:41:20,469 epoch 69 - iter 406/585 - loss 0.24317349 - samples/sec: 239.30
2020-06-10 15:41:29,104 epoch 69 - iter 464/585 - loss 0.24683489 - samples/sec: 217.38
2020-06-10 15:41:36,716 epoch 69 - iter 522/585 - loss 0.24679906 - samples/sec: 246.95
2020-06-10 15:41:44,407 epoch 69 - iter 580/585 - loss 0.24822636 - samples/sec: 244.38
2020-06-10 15:41:45,059 ----------------------------------------------------------------------------------------------------
2020-06-10 15:41:45,059 EPOCH 69 done: loss 0.2480 - lr 0.0500000
2020-06-10 15:41:45,059 BAD EPOCHS (no improvement): 1
2020-06-10 15:41:45,060 ----------------------------------------------------------------------------------------------------
2020-06-10 15:41:52,678 epoch 70 - iter 58/585 - loss 0.24278724 - samples/sec: 243.75
2020-06-10 15:42:00,709 epoch 70 - iter 116/585 - loss 0.24494476 - samples/sec: 233.98
2020-06-10 15:42:08,700 epoch 70 - iter 174/585 - loss 0.24208292 - samples/sec: 235.11
2020-06-10 15:42:16,326 epoch 70 - iter 232/585 - loss 0.24394892 - samples/sec: 246.47
2020-06-10 15:42:24,572 epoch 70 - iter 290/585 - loss 0.24404631 - samples/sec: 227.80
2020-06-10 15:42:32,326 epoch 70 - iter 348/585 - loss 0.24527265 - samples/sec: 242.35
2020-06-10 15:42:42,959 epoch 70 - iter 406/585 - loss 0.24084573 - samples/sec: 176.16
2020-06-10 15:42:50,462 epoch 70 - iter 464/585 - loss 0.24256569 - samples/sec: 250.59
2020-06-10 15:42:58,182 epoch 70 - iter 522/585 - loss 0.24107835 - samples/sec: 243.46
2020-06-10 15:43:07,255 epoch 70 - iter 580/585 - loss 0.24300081 - samples/sec: 206.80
2020-06-10 15:43:08,021 ----------------------------------------------------------------------------------------------------
2020-06-10 15:43:08,021 EPOCH 70 done: loss 0.2426 - lr 0.0500000
2020-06-10 15:43:08,021 BAD EPOCHS (no improvement): 2
2020-06-10 15:43:08,022 ----------------------------------------------------------------------------------------------------
2020-06-10 15:43:15,317 epoch 71 - iter 58/585 - loss 0.22905694 - samples/sec: 254.54
2020-06-10 15:43:22,957 epoch 71 - iter 116/585 - loss 0.22272948 - samples/sec: 246.06
2020-06-10 15:43:30,523 epoch 71 - iter 174/585 - loss 0.22898089 - samples/sec: 248.51
2020-06-10 15:43:39,661 epoch 71 - iter 232/585 - loss 0.22482807 - samples/sec: 205.28
2020-06-10 15:43:47,362 epoch 71 - iter 290/585 - loss 0.23174190 - samples/sec: 244.08
2020-06-10 15:43:57,610 epoch 71 - iter 348/585 - loss 0.23058988 - samples/sec: 182.84
2020-06-10 15:44:05,288 epoch 71 - iter 406/585 - loss 0.22931622 - samples/sec: 244.94
2020-06-10 15:44:13,350 epoch 71 - iter 464/585 - loss 0.23142321 - samples/sec: 233.01
2020-06-10 15:44:21,059 epoch 71 - iter 522/585 - loss 0.23405219 - samples/sec: 243.83
2020-06-10 15:44:30,172 epoch 71 - iter 580/585 - loss 0.23374212 - samples/sec: 205.87
2020-06-10 15:44:30,871 ----------------------------------------------------------------------------------------------------
2020-06-10 15:44:30,871 EPOCH 71 done: loss 0.2344 - lr 0.0500000
2020-06-10 15:44:30,871 BAD EPOCHS (no improvement): 0
2020-06-10 15:44:30,871 ----------------------------------------------------------------------------------------------------
2020-06-10 15:44:38,784 epoch 72 - iter 58/585 - loss 0.21779678 - samples/sec: 234.68
2020-06-10 15:44:46,629 epoch 72 - iter 116/585 - loss 0.22051045 - samples/sec: 239.57
2020-06-10 15:44:55,986 epoch 72 - iter 174/585 - loss 0.22534399 - samples/sec: 200.46
2020-06-10 15:45:03,828 epoch 72 - iter 232/585 - loss 0.24363903 - samples/sec: 239.72
2020-06-10 15:45:11,724 epoch 72 - iter 290/585 - loss 0.24117409 - samples/sec: 238.01
2020-06-10 15:45:20,608 epoch 72 - iter 348/585 - loss 0.24240490 - samples/sec: 211.23
2020-06-10 15:45:28,397 epoch 72 - iter 406/585 - loss 0.24111523 - samples/sec: 241.32
2020-06-10 15:45:37,432 epoch 72 - iter 464/585 - loss 0.23713020 - samples/sec: 207.70
2020-06-10 15:45:45,601 epoch 72 - iter 522/585 - loss 0.23687118 - samples/sec: 229.94
2020-06-10 15:45:53,426 epoch 72 - iter 580/585 - loss 0.23835610 - samples/sec: 240.18
2020-06-10 15:45:54,099 ----------------------------------------------------------------------------------------------------
2020-06-10 15:45:54,100 EPOCH 72 done: loss 0.2382 - lr 0.0500000
2020-06-10 15:45:54,100 BAD EPOCHS (no improvement): 1
2020-06-10 15:45:54,100 ----------------------------------------------------------------------------------------------------
2020-06-10 15:46:03,448 epoch 73 - iter 58/585 - loss 0.22805310 - samples/sec: 198.62
2020-06-10 15:46:11,288 epoch 73 - iter 116/585 - loss 0.23873522 - samples/sec: 239.72
2020-06-10 15:46:19,094 epoch 73 - iter 174/585 - loss 0.22622476 - samples/sec: 240.76
2020-06-10 15:46:27,901 epoch 73 - iter 232/585 - loss 0.22779601 - samples/sec: 213.10
2020-06-10 15:46:35,702 epoch 73 - iter 290/585 - loss 0.22941534 - samples/sec: 240.91
2020-06-10 15:46:43,301 epoch 73 - iter 348/585 - loss 0.22467521 - samples/sec: 247.40
2020-06-10 15:46:51,086 epoch 73 - iter 406/585 - loss 0.23135709 - samples/sec: 241.42
2020-06-10 15:46:58,728 epoch 73 - iter 464/585 - loss 0.22930584 - samples/sec: 246.00
2020-06-10 15:47:07,773 epoch 73 - iter 522/585 - loss 0.22969484 - samples/sec: 207.47
2020-06-10 15:47:15,991 epoch 73 - iter 580/585 - loss 0.23191377 - samples/sec: 228.57
2020-06-10 15:47:16,763 ----------------------------------------------------------------------------------------------------
2020-06-10 15:47:16,763 EPOCH 73 done: loss 0.2319 - lr 0.0500000
2020-06-10 15:47:16,764 BAD EPOCHS (no improvement): 0
2020-06-10 15:47:16,764 ----------------------------------------------------------------------------------------------------
2020-06-10 15:47:25,498 epoch 74 - iter 58/585 - loss 0.24421126 - samples/sec: 212.61
2020-06-10 15:47:33,067 epoch 74 - iter 116/585 - loss 0.24620433 - samples/sec: 248.39
2020-06-10 15:47:41,894 epoch 74 - iter 174/585 - loss 0.24063716 - samples/sec: 212.64
2020-06-10 15:47:49,380 epoch 74 - iter 232/585 - loss 0.23641461 - samples/sec: 251.22
2020-06-10 15:47:57,502 epoch 74 - iter 290/585 - loss 0.23634181 - samples/sec: 231.27
2020-06-10 15:48:05,192 epoch 74 - iter 348/585 - loss 0.23130165 - samples/sec: 244.43
2020-06-10 15:48:12,788 epoch 74 - iter 406/585 - loss 0.23049003 - samples/sec: 247.47
2020-06-10 15:48:22,484 epoch 74 - iter 464/585 - loss 0.23354721 - samples/sec: 193.34
2020-06-10 15:48:30,056 epoch 74 - iter 522/585 - loss 0.23426185 - samples/sec: 248.36
2020-06-10 15:48:38,721 epoch 74 - iter 580/585 - loss 0.23046828 - samples/sec: 216.60
2020-06-10 15:48:39,543 ----------------------------------------------------------------------------------------------------
2020-06-10 15:48:39,543 EPOCH 74 done: loss 0.2311 - lr 0.0500000
2020-06-10 15:48:39,543 BAD EPOCHS (no improvement): 0
2020-06-10 15:48:39,544 ----------------------------------------------------------------------------------------------------
2020-06-10 15:48:49,744 epoch 75 - iter 58/585 - loss 0.23136634 - samples/sec: 182.04
2020-06-10 15:48:57,260 epoch 75 - iter 116/585 - loss 0.22040287 - samples/sec: 250.13
2020-06-10 15:49:05,231 epoch 75 - iter 174/585 - loss 0.21953683 - samples/sec: 235.76
2020-06-10 15:49:13,330 epoch 75 - iter 232/585 - loss 0.21942946 - samples/sec: 231.98
2020-06-10 15:49:20,859 epoch 75 - iter 290/585 - loss 0.22009784 - samples/sec: 249.76
2020-06-10 15:49:28,502 epoch 75 - iter 348/585 - loss 0.21811493 - samples/sec: 245.96
2020-06-10 15:49:37,360 epoch 75 - iter 406/585 - loss 0.21537489 - samples/sec: 211.86
2020-06-10 15:49:44,721 epoch 75 - iter 464/585 - loss 0.21508722 - samples/sec: 255.47
2020-06-10 15:49:52,338 epoch 75 - iter 522/585 - loss 0.21633050 - samples/sec: 246.86
2020-06-10 15:50:01,480 epoch 75 - iter 580/585 - loss 0.21631964 - samples/sec: 205.20
2020-06-10 15:50:02,201 ----------------------------------------------------------------------------------------------------
2020-06-10 15:50:02,201 EPOCH 75 done: loss 0.2156 - lr 0.0500000
2020-06-10 15:50:02,201 BAD EPOCHS (no improvement): 0
2020-06-10 15:50:02,201 ----------------------------------------------------------------------------------------------------
2020-06-10 15:50:10,046 epoch 76 - iter 58/585 - loss 0.23517716 - samples/sec: 236.72
2020-06-10 15:50:19,529 epoch 76 - iter 116/585 - loss 0.23234139 - samples/sec: 197.73
2020-06-10 15:50:27,243 epoch 76 - iter 174/585 - loss 0.22954080 - samples/sec: 243.72
2020-06-10 15:50:34,911 epoch 76 - iter 232/585 - loss 0.22530092 - samples/sec: 245.15
2020-06-10 15:50:42,764 epoch 76 - iter 290/585 - loss 0.22272491 - samples/sec: 239.37
2020-06-10 15:50:52,048 epoch 76 - iter 348/585 - loss 0.22120937 - samples/sec: 202.04
2020-06-10 15:50:59,713 epoch 76 - iter 406/585 - loss 0.21824692 - samples/sec: 245.19
2020-06-10 15:51:08,338 epoch 76 - iter 464/585 - loss 0.21781156 - samples/sec: 217.68
2020-06-10 15:51:16,090 epoch 76 - iter 522/585 - loss 0.22171182 - samples/sec: 242.51
2020-06-10 15:51:24,319 epoch 76 - iter 580/585 - loss 0.21715914 - samples/sec: 228.23
2020-06-10 15:51:24,983 ----------------------------------------------------------------------------------------------------
2020-06-10 15:51:24,983 EPOCH 76 done: loss 0.2170 - lr 0.0500000
2020-06-10 15:51:24,983 BAD EPOCHS (no improvement): 1
2020-06-10 15:51:24,983 ----------------------------------------------------------------------------------------------------
2020-06-10 15:51:32,272 epoch 77 - iter 58/585 - loss 0.18505358 - samples/sec: 254.79
2020-06-10 15:51:39,959 epoch 77 - iter 116/585 - loss 0.18474398 - samples/sec: 244.48
2020-06-10 15:51:47,659 epoch 77 - iter 174/585 - loss 0.19609453 - samples/sec: 244.12
2020-06-10 15:51:54,950 epoch 77 - iter 232/585 - loss 0.20625069 - samples/sec: 258.03
2020-06-10 15:52:04,971 epoch 77 - iter 290/585 - loss 0.21044780 - samples/sec: 186.99
2020-06-10 15:52:14,602 epoch 77 - iter 348/585 - loss 0.21343117 - samples/sec: 194.70
2020-06-10 15:52:22,118 epoch 77 - iter 406/585 - loss 0.21505718 - samples/sec: 250.18
2020-06-10 15:52:29,890 epoch 77 - iter 464/585 - loss 0.21189249 - samples/sec: 241.82
2020-06-10 15:52:38,827 epoch 77 - iter 522/585 - loss 0.21624045 - samples/sec: 209.95
2020-06-10 15:52:46,622 epoch 77 - iter 580/585 - loss 0.21994138 - samples/sec: 241.14
2020-06-10 15:52:47,350 ----------------------------------------------------------------------------------------------------
2020-06-10 15:52:47,350 EPOCH 77 done: loss 0.2198 - lr 0.0500000
2020-06-10 15:52:47,350 BAD EPOCHS (no improvement): 2
2020-06-10 15:52:47,350 ----------------------------------------------------------------------------------------------------
2020-06-10 15:52:54,891 epoch 78 - iter 58/585 - loss 0.21099789 - samples/sec: 246.28
2020-06-10 15:53:02,796 epoch 78 - iter 116/585 - loss 0.20928622 - samples/sec: 237.72
2020-06-10 15:53:11,984 epoch 78 - iter 174/585 - loss 0.21581798 - samples/sec: 204.18
2020-06-10 15:53:19,608 epoch 78 - iter 232/585 - loss 0.21984804 - samples/sec: 246.56
2020-06-10 15:53:27,412 epoch 78 - iter 290/585 - loss 0.21675975 - samples/sec: 240.82
2020-06-10 15:53:35,388 epoch 78 - iter 348/585 - loss 0.21918867 - samples/sec: 235.56
2020-06-10 15:53:44,274 epoch 78 - iter 406/585 - loss 0.22374142 - samples/sec: 211.18
2020-06-10 15:53:51,891 epoch 78 - iter 464/585 - loss 0.22100565 - samples/sec: 246.85
2020-06-10 15:54:00,136 epoch 78 - iter 522/585 - loss 0.22065352 - samples/sec: 227.76
2020-06-10 15:54:08,975 epoch 78 - iter 580/585 - loss 0.21865520 - samples/sec: 212.31
2020-06-10 15:54:09,742 ----------------------------------------------------------------------------------------------------
2020-06-10 15:54:09,742 EPOCH 78 done: loss 0.2184 - lr 0.0500000
2020-06-10 15:54:09,742 BAD EPOCHS (no improvement): 3
2020-06-10 15:54:09,743 ----------------------------------------------------------------------------------------------------
2020-06-10 15:54:18,707 epoch 79 - iter 58/585 - loss 0.19933119 - samples/sec: 207.13
2020-06-10 15:54:28,184 epoch 79 - iter 116/585 - loss 0.21994692 - samples/sec: 198.01
2020-06-10 15:54:36,450 epoch 79 - iter 174/585 - loss 0.21484264 - samples/sec: 227.17
2020-06-10 15:54:43,921 epoch 79 - iter 232/585 - loss 0.21115798 - samples/sec: 251.67
2020-06-10 15:54:51,340 epoch 79 - iter 290/585 - loss 0.21246194 - samples/sec: 253.46
2020-06-10 15:54:59,451 epoch 79 - iter 348/585 - loss 0.20797481 - samples/sec: 231.64
2020-06-10 15:55:07,086 epoch 79 - iter 406/585 - loss 0.21122930 - samples/sec: 246.18
2020-06-10 15:55:15,157 epoch 79 - iter 464/585 - loss 0.20965924 - samples/sec: 232.76
2020-06-10 15:55:24,098 epoch 79 - iter 522/585 - loss 0.21262299 - samples/sec: 209.84
2020-06-10 15:55:31,767 epoch 79 - iter 580/585 - loss 0.21554248 - samples/sec: 245.11
2020-06-10 15:55:32,362 ----------------------------------------------------------------------------------------------------
2020-06-10 15:55:32,362 EPOCH 79 done: loss 0.2149 - lr 0.0500000
2020-06-10 15:55:32,362 BAD EPOCHS (no improvement): 0
2020-06-10 15:55:32,362 ----------------------------------------------------------------------------------------------------
2020-06-10 15:55:40,213 epoch 80 - iter 58/585 - loss 0.18830046 - samples/sec: 236.54
2020-06-10 15:55:47,770 epoch 80 - iter 116/585 - loss 0.20416378 - samples/sec: 248.84
2020-06-10 15:55:57,155 epoch 80 - iter 174/585 - loss 0.20749235 - samples/sec: 199.83
2020-06-10 15:56:05,770 epoch 80 - iter 232/585 - loss 0.21207599 - samples/sec: 217.89
2020-06-10 15:56:15,253 epoch 80 - iter 290/585 - loss 0.21473353 - samples/sec: 197.73
2020-06-10 15:56:22,906 epoch 80 - iter 348/585 - loss 0.21388467 - samples/sec: 245.62
2020-06-10 15:56:31,487 epoch 80 - iter 406/585 - loss 0.21520288 - samples/sec: 218.78
2020-06-10 15:56:39,062 epoch 80 - iter 464/585 - loss 0.21301028 - samples/sec: 248.16
2020-06-10 15:56:46,611 epoch 80 - iter 522/585 - loss 0.21019267 - samples/sec: 249.08
2020-06-10 15:56:54,463 epoch 80 - iter 580/585 - loss 0.20736892 - samples/sec: 239.32
2020-06-10 15:56:55,132 ----------------------------------------------------------------------------------------------------
2020-06-10 15:56:55,132 EPOCH 80 done: loss 0.2069 - lr 0.0500000
2020-06-10 15:56:55,132 BAD EPOCHS (no improvement): 0
2020-06-10 15:56:55,132 ----------------------------------------------------------------------------------------------------
2020-06-10 15:57:02,456 epoch 81 - iter 58/585 - loss 0.19414815 - samples/sec: 253.58
2020-06-10 15:57:11,980 epoch 81 - iter 116/585 - loss 0.20703016 - samples/sec: 196.92
2020-06-10 15:57:20,102 epoch 81 - iter 174/585 - loss 0.21410864 - samples/sec: 231.27
2020-06-10 15:57:27,574 epoch 81 - iter 232/585 - loss 0.22051979 - samples/sec: 251.68
2020-06-10 15:57:35,214 epoch 81 - iter 290/585 - loss 0.21989296 - samples/sec: 246.05
2020-06-10 15:57:44,656 epoch 81 - iter 348/585 - loss 0.21965849 - samples/sec: 198.61
2020-06-10 15:57:52,338 epoch 81 - iter 406/585 - loss 0.22286498 - samples/sec: 244.75
2020-06-10 15:58:00,183 epoch 81 - iter 464/585 - loss 0.22510921 - samples/sec: 239.59
2020-06-10 15:58:08,903 epoch 81 - iter 522/585 - loss 0.22430996 - samples/sec: 215.25
2020-06-10 15:58:17,152 epoch 81 - iter 580/585 - loss 0.22170732 - samples/sec: 227.69
2020-06-10 15:58:17,877 ----------------------------------------------------------------------------------------------------
2020-06-10 15:58:17,877 EPOCH 81 done: loss 0.2221 - lr 0.0500000
2020-06-10 15:58:17,877 BAD EPOCHS (no improvement): 1
2020-06-10 15:58:17,878 ----------------------------------------------------------------------------------------------------
2020-06-10 15:58:27,111 epoch 82 - iter 58/585 - loss 0.21767266 - samples/sec: 201.09
2020-06-10 15:58:34,870 epoch 82 - iter 116/585 - loss 0.20232776 - samples/sec: 242.26
2020-06-10 15:58:43,585 epoch 82 - iter 174/585 - loss 0.20061230 - samples/sec: 215.34
2020-06-10 15:58:50,990 epoch 82 - iter 232/585 - loss 0.19989628 - samples/sec: 253.94
2020-06-10 15:58:58,618 epoch 82 - iter 290/585 - loss 0.20391732 - samples/sec: 246.40
2020-06-10 15:59:06,296 epoch 82 - iter 348/585 - loss 0.20900780 - samples/sec: 244.86
2020-06-10 15:59:13,961 epoch 82 - iter 406/585 - loss 0.20552511 - samples/sec: 245.28
2020-06-10 15:59:22,982 epoch 82 - iter 464/585 - loss 0.20604656 - samples/sec: 207.97
2020-06-10 15:59:30,639 epoch 82 - iter 522/585 - loss 0.20869741 - samples/sec: 245.49
2020-06-10 15:59:40,135 epoch 82 - iter 580/585 - loss 0.21086972 - samples/sec: 197.51
2020-06-10 15:59:40,782 ----------------------------------------------------------------------------------------------------
2020-06-10 15:59:40,783 EPOCH 82 done: loss 0.2104 - lr 0.0500000
2020-06-10 15:59:40,783 BAD EPOCHS (no improvement): 2
2020-06-10 15:59:40,783 ----------------------------------------------------------------------------------------------------
2020-06-10 15:59:48,581 epoch 83 - iter 58/585 - loss 0.22111494 - samples/sec: 238.13
2020-06-10 15:59:56,299 epoch 83 - iter 116/585 - loss 0.20481619 - samples/sec: 243.55
2020-06-10 16:00:05,765 epoch 83 - iter 174/585 - loss 0.20106375 - samples/sec: 198.09
2020-06-10 16:00:13,957 epoch 83 - iter 232/585 - loss 0.20119428 - samples/sec: 229.25
2020-06-10 16:00:21,579 epoch 83 - iter 290/585 - loss 0.20084775 - samples/sec: 246.65
2020-06-10 16:00:30,593 epoch 83 - iter 348/585 - loss 0.20363534 - samples/sec: 208.14
2020-06-10 16:00:38,357 epoch 83 - iter 406/585 - loss 0.20441270 - samples/sec: 242.04
2020-06-10 16:00:46,181 epoch 83 - iter 464/585 - loss 0.20401502 - samples/sec: 240.21
2020-06-10 16:00:55,160 epoch 83 - iter 522/585 - loss 0.20215102 - samples/sec: 209.00
2020-06-10 16:01:02,585 epoch 83 - iter 580/585 - loss 0.20380252 - samples/sec: 253.32
2020-06-10 16:01:03,303 ----------------------------------------------------------------------------------------------------
2020-06-10 16:01:03,303 EPOCH 83 done: loss 0.2044 - lr 0.0500000
2020-06-10 16:01:03,303 BAD EPOCHS (no improvement): 0
2020-06-10 16:01:03,303 ----------------------------------------------------------------------------------------------------
2020-06-10 16:01:10,541 epoch 84 - iter 58/585 - loss 0.20028279 - samples/sec: 256.58
2020-06-10 16:01:18,368 epoch 84 - iter 116/585 - loss 0.19525593 - samples/sec: 240.11
2020-06-10 16:01:27,185 epoch 84 - iter 174/585 - loss 0.19762997 - samples/sec: 212.84
2020-06-10 16:01:34,583 epoch 84 - iter 232/585 - loss 0.19528994 - samples/sec: 254.23
2020-06-10 16:01:42,670 epoch 84 - iter 290/585 - loss 0.19988565 - samples/sec: 232.29
2020-06-10 16:01:50,347 epoch 84 - iter 348/585 - loss 0.20196382 - samples/sec: 244.88
2020-06-10 16:01:59,095 epoch 84 - iter 406/585 - loss 0.20502079 - samples/sec: 214.59
2020-06-10 16:02:06,613 epoch 84 - iter 464/585 - loss 0.20142321 - samples/sec: 250.13
2020-06-10 16:02:16,081 epoch 84 - iter 522/585 - loss 0.20412387 - samples/sec: 198.06
2020-06-10 16:02:25,280 epoch 84 - iter 580/585 - loss 0.20318851 - samples/sec: 203.92
2020-06-10 16:02:25,942 ----------------------------------------------------------------------------------------------------
2020-06-10 16:02:25,942 EPOCH 84 done: loss 0.2033 - lr 0.0500000
2020-06-10 16:02:25,942 BAD EPOCHS (no improvement): 0
2020-06-10 16:02:25,942 ----------------------------------------------------------------------------------------------------
2020-06-10 16:02:33,811 epoch 85 - iter 58/585 - loss 0.20902878 - samples/sec: 236.00
2020-06-10 16:02:41,703 epoch 85 - iter 116/585 - loss 0.22069292 - samples/sec: 238.11
2020-06-10 16:02:49,387 epoch 85 - iter 174/585 - loss 0.21047899 - samples/sec: 244.61
2020-06-10 16:02:56,785 epoch 85 - iter 232/585 - loss 0.21144726 - samples/sec: 254.19
2020-06-10 16:03:04,560 epoch 85 - iter 290/585 - loss 0.20940135 - samples/sec: 241.70
2020-06-10 16:03:13,629 epoch 85 - iter 348/585 - loss 0.20960552 - samples/sec: 206.84
2020-06-10 16:03:21,191 epoch 85 - iter 406/585 - loss 0.20784054 - samples/sec: 248.61
2020-06-10 16:03:30,105 epoch 85 - iter 464/585 - loss 0.20373305 - samples/sec: 210.51
2020-06-10 16:03:40,735 epoch 85 - iter 522/585 - loss 0.20451789 - samples/sec: 176.20
2020-06-10 16:03:48,073 epoch 85 - iter 580/585 - loss 0.20483500 - samples/sec: 256.39
2020-06-10 16:03:48,842 ----------------------------------------------------------------------------------------------------
2020-06-10 16:03:48,843 EPOCH 85 done: loss 0.2057 - lr 0.0500000
2020-06-10 16:03:48,843 BAD EPOCHS (no improvement): 1
2020-06-10 16:03:48,843 ----------------------------------------------------------------------------------------------------
2020-06-10 16:03:56,789 epoch 86 - iter 58/585 - loss 0.21002148 - samples/sec: 233.68
2020-06-10 16:04:04,515 epoch 86 - iter 116/585 - loss 0.21185719 - samples/sec: 243.33
2020-06-10 16:04:11,895 epoch 86 - iter 174/585 - loss 0.20047593 - samples/sec: 254.81
2020-06-10 16:04:19,538 epoch 86 - iter 232/585 - loss 0.19943528 - samples/sec: 245.95
2020-06-10 16:04:27,246 epoch 86 - iter 290/585 - loss 0.20259282 - samples/sec: 243.81
2020-06-10 16:04:35,611 epoch 86 - iter 348/585 - loss 0.20332049 - samples/sec: 224.48
2020-06-10 16:04:44,903 epoch 86 - iter 406/585 - loss 0.20023599 - samples/sec: 202.20
2020-06-10 16:04:52,601 epoch 86 - iter 464/585 - loss 0.20181374 - samples/sec: 244.15
2020-06-10 16:05:01,907 epoch 86 - iter 522/585 - loss 0.19951940 - samples/sec: 201.52
2020-06-10 16:05:10,889 epoch 86 - iter 580/585 - loss 0.19882915 - samples/sec: 208.89
2020-06-10 16:05:11,602 ----------------------------------------------------------------------------------------------------
2020-06-10 16:05:11,602 EPOCH 86 done: loss 0.1991 - lr 0.0500000
2020-06-10 16:05:11,602 BAD EPOCHS (no improvement): 0
2020-06-10 16:05:11,602 ----------------------------------------------------------------------------------------------------
2020-06-10 16:05:19,178 epoch 87 - iter 58/585 - loss 0.19573255 - samples/sec: 245.13
2020-06-10 16:05:26,894 epoch 87 - iter 116/585 - loss 0.20951608 - samples/sec: 243.57
2020-06-10 16:05:34,224 epoch 87 - iter 174/585 - loss 0.20114485 - samples/sec: 256.59
2020-06-10 16:05:42,975 epoch 87 - iter 232/585 - loss 0.20569698 - samples/sec: 214.46
2020-06-10 16:05:50,578 epoch 87 - iter 290/585 - loss 0.20791883 - samples/sec: 247.25
2020-06-10 16:05:59,924 epoch 87 - iter 348/585 - loss 0.20593207 - samples/sec: 200.73
2020-06-10 16:06:07,477 epoch 87 - iter 406/585 - loss 0.20696406 - samples/sec: 248.94
2020-06-10 16:06:16,793 epoch 87 - iter 464/585 - loss 0.20823594 - samples/sec: 201.32
2020-06-10 16:06:26,227 epoch 87 - iter 522/585 - loss 0.20665674 - samples/sec: 198.82
2020-06-10 16:06:33,752 epoch 87 - iter 580/585 - loss 0.20286813 - samples/sec: 249.98
2020-06-10 16:06:34,423 ----------------------------------------------------------------------------------------------------
2020-06-10 16:06:34,423 EPOCH 87 done: loss 0.2024 - lr 0.0500000
2020-06-10 16:06:34,423 BAD EPOCHS (no improvement): 1
2020-06-10 16:06:34,424 ----------------------------------------------------------------------------------------------------
2020-06-10 16:06:43,176 epoch 88 - iter 58/585 - loss 0.18376931 - samples/sec: 212.15
2020-06-10 16:06:51,859 epoch 88 - iter 116/585 - loss 0.17436008 - samples/sec: 216.13
2020-06-10 16:07:00,148 epoch 88 - iter 174/585 - loss 0.19426798 - samples/sec: 226.59
2020-06-10 16:07:07,713 epoch 88 - iter 232/585 - loss 0.19295753 - samples/sec: 248.51
2020-06-10 16:07:15,956 epoch 88 - iter 290/585 - loss 0.19639749 - samples/sec: 227.86
2020-06-10 16:07:23,581 epoch 88 - iter 348/585 - loss 0.19564581 - samples/sec: 246.54
2020-06-10 16:07:31,337 epoch 88 - iter 406/585 - loss 0.19852367 - samples/sec: 242.32
2020-06-10 16:07:39,371 epoch 88 - iter 464/585 - loss 0.20218564 - samples/sec: 233.89
2020-06-10 16:07:49,150 epoch 88 - iter 522/585 - loss 0.20077433 - samples/sec: 191.75
2020-06-10 16:07:56,501 epoch 88 - iter 580/585 - loss 0.20289139 - samples/sec: 255.86
2020-06-10 16:07:57,185 ----------------------------------------------------------------------------------------------------
2020-06-10 16:07:57,185 EPOCH 88 done: loss 0.2027 - lr 0.0500000
2020-06-10 16:07:57,185 BAD EPOCHS (no improvement): 2
2020-06-10 16:07:57,185 ----------------------------------------------------------------------------------------------------
2020-06-10 16:08:04,686 epoch 89 - iter 58/585 - loss 0.18320219 - samples/sec: 247.59
2020-06-10 16:08:12,420 epoch 89 - iter 116/585 - loss 0.18821289 - samples/sec: 243.03
2020-06-10 16:08:20,021 epoch 89 - iter 174/585 - loss 0.18241804 - samples/sec: 247.30
2020-06-10 16:08:27,499 epoch 89 - iter 232/585 - loss 0.18716690 - samples/sec: 251.44
2020-06-10 16:08:36,625 epoch 89 - iter 290/585 - loss 0.18551679 - samples/sec: 205.57
2020-06-10 16:08:44,260 epoch 89 - iter 348/585 - loss 0.18291937 - samples/sec: 246.21
2020-06-10 16:08:53,643 epoch 89 - iter 406/585 - loss 0.18853788 - samples/sec: 199.85
2020-06-10 16:09:01,410 epoch 89 - iter 464/585 - loss 0.19224464 - samples/sec: 242.04
2020-06-10 16:09:09,478 epoch 89 - iter 522/585 - loss 0.19238751 - samples/sec: 232.88
2020-06-10 16:09:19,246 epoch 89 - iter 580/585 - loss 0.19301923 - samples/sec: 191.89
2020-06-10 16:09:20,004 ----------------------------------------------------------------------------------------------------
2020-06-10 16:09:20,005 EPOCH 89 done: loss 0.1931 - lr 0.0500000
2020-06-10 16:09:20,005 BAD EPOCHS (no improvement): 0
2020-06-10 16:09:20,005 ----------------------------------------------------------------------------------------------------
2020-06-10 16:09:27,660 epoch 90 - iter 58/585 - loss 0.15897759 - samples/sec: 242.58
2020-06-10 16:09:35,104 epoch 90 - iter 116/585 - loss 0.17361150 - samples/sec: 252.60
2020-06-10 16:09:44,464 epoch 90 - iter 174/585 - loss 0.17563735 - samples/sec: 200.38
2020-06-10 16:09:52,302 epoch 90 - iter 232/585 - loss 0.17932960 - samples/sec: 239.76
2020-06-10 16:10:00,787 epoch 90 - iter 290/585 - loss 0.18482054 - samples/sec: 221.30
2020-06-10 16:10:08,168 epoch 90 - iter 348/585 - loss 0.18715414 - samples/sec: 254.88
2020-06-10 16:10:16,149 epoch 90 - iter 406/585 - loss 0.18394526 - samples/sec: 235.40
2020-06-10 16:10:24,415 epoch 90 - iter 464/585 - loss 0.18555510 - samples/sec: 227.26
2020-06-10 16:10:33,502 epoch 90 - iter 522/585 - loss 0.18788785 - samples/sec: 206.49
2020-06-10 16:10:42,440 epoch 90 - iter 580/585 - loss 0.18970933 - samples/sec: 209.92
2020-06-10 16:10:43,141 ----------------------------------------------------------------------------------------------------
2020-06-10 16:10:43,141 EPOCH 90 done: loss 0.1895 - lr 0.0500000
2020-06-10 16:10:43,141 BAD EPOCHS (no improvement): 0
2020-06-10 16:10:43,141 ----------------------------------------------------------------------------------------------------
2020-06-10 16:10:50,526 epoch 91 - iter 58/585 - loss 0.18835269 - samples/sec: 251.48
2020-06-10 16:10:58,321 epoch 91 - iter 116/585 - loss 0.18142583 - samples/sec: 241.24
2020-06-10 16:11:05,994 epoch 91 - iter 174/585 - loss 0.18557687 - samples/sec: 245.08
2020-06-10 16:11:13,715 epoch 91 - iter 232/585 - loss 0.19357665 - samples/sec: 243.41
2020-06-10 16:11:21,427 epoch 91 - iter 290/585 - loss 0.19360331 - samples/sec: 243.73
2020-06-10 16:11:28,990 epoch 91 - iter 348/585 - loss 0.19173226 - samples/sec: 248.59
2020-06-10 16:11:38,230 epoch 91 - iter 406/585 - loss 0.19139183 - samples/sec: 203.02
2020-06-10 16:11:49,192 epoch 91 - iter 464/585 - loss 0.19011555 - samples/sec: 170.87
2020-06-10 16:11:57,065 epoch 91 - iter 522/585 - loss 0.19070507 - samples/sec: 238.75
2020-06-10 16:12:05,533 epoch 91 - iter 580/585 - loss 0.19151598 - samples/sec: 221.68
2020-06-10 16:12:06,337 ----------------------------------------------------------------------------------------------------
2020-06-10 16:12:06,337 EPOCH 91 done: loss 0.1919 - lr 0.0500000
2020-06-10 16:12:06,337 BAD EPOCHS (no improvement): 1
2020-06-10 16:12:06,337 ----------------------------------------------------------------------------------------------------
2020-06-10 16:12:14,197 epoch 92 - iter 58/585 - loss 0.18882180 - samples/sec: 236.27
2020-06-10 16:12:21,748 epoch 92 - iter 116/585 - loss 0.18593762 - samples/sec: 249.02
2020-06-10 16:12:29,505 epoch 92 - iter 174/585 - loss 0.19006004 - samples/sec: 242.32
2020-06-10 16:12:38,229 epoch 92 - iter 232/585 - loss 0.18979306 - samples/sec: 215.15
2020-06-10 16:12:46,141 epoch 92 - iter 290/585 - loss 0.18918963 - samples/sec: 237.47
2020-06-10 16:12:55,298 epoch 92 - iter 348/585 - loss 0.18623116 - samples/sec: 204.85
2020-06-10 16:13:03,136 epoch 92 - iter 406/585 - loss 0.18774807 - samples/sec: 239.77
2020-06-10 16:13:12,290 epoch 92 - iter 464/585 - loss 0.18768922 - samples/sec: 204.97
2020-06-10 16:13:20,066 epoch 92 - iter 522/585 - loss 0.19132596 - samples/sec: 241.73
2020-06-10 16:13:28,569 epoch 92 - iter 580/585 - loss 0.19437326 - samples/sec: 220.76
2020-06-10 16:13:29,325 ----------------------------------------------------------------------------------------------------
2020-06-10 16:13:29,325 EPOCH 92 done: loss 0.1944 - lr 0.0500000
2020-06-10 16:13:29,325 BAD EPOCHS (no improvement): 2
2020-06-10 16:13:29,325 ----------------------------------------------------------------------------------------------------
2020-06-10 16:13:36,942 epoch 93 - iter 58/585 - loss 0.17249106 - samples/sec: 243.80
2020-06-10 16:13:44,707 epoch 93 - iter 116/585 - loss 0.16193107 - samples/sec: 242.04
2020-06-10 16:13:52,174 epoch 93 - iter 174/585 - loss 0.16388526 - samples/sec: 251.81
2020-06-10 16:13:59,815 epoch 93 - iter 232/585 - loss 0.17882149 - samples/sec: 246.02
2020-06-10 16:14:09,028 epoch 93 - iter 290/585 - loss 0.18246795 - samples/sec: 203.64
2020-06-10 16:14:16,615 epoch 93 - iter 348/585 - loss 0.19112013 - samples/sec: 247.75
2020-06-10 16:14:26,309 epoch 93 - iter 406/585 - loss 0.19067802 - samples/sec: 193.39
2020-06-10 16:14:35,534 epoch 93 - iter 464/585 - loss 0.18871007 - samples/sec: 203.39
2020-06-10 16:14:43,252 epoch 93 - iter 522/585 - loss 0.18842153 - samples/sec: 243.54
2020-06-10 16:14:51,646 epoch 93 - iter 580/585 - loss 0.18842237 - samples/sec: 223.68
2020-06-10 16:14:52,263 ----------------------------------------------------------------------------------------------------
2020-06-10 16:14:52,263 EPOCH 93 done: loss 0.1882 - lr 0.0500000
2020-06-10 16:14:52,264 BAD EPOCHS (no improvement): 0
2020-06-10 16:14:52,264 ----------------------------------------------------------------------------------------------------
2020-06-10 16:14:59,991 epoch 94 - iter 58/585 - loss 0.16375593 - samples/sec: 240.30
2020-06-10 16:15:07,946 epoch 94 - iter 116/585 - loss 0.16429380 - samples/sec: 236.25
2020-06-10 16:15:16,784 epoch 94 - iter 174/585 - loss 0.17583074 - samples/sec: 212.32
2020-06-10 16:15:27,096 epoch 94 - iter 232/585 - loss 0.17804919 - samples/sec: 181.73
2020-06-10 16:15:34,634 epoch 94 - iter 290/585 - loss 0.18112420 - samples/sec: 249.40
2020-06-10 16:15:42,605 epoch 94 - iter 348/585 - loss 0.18381709 - samples/sec: 235.74
2020-06-10 16:15:50,094 epoch 94 - iter 406/585 - loss 0.18275868 - samples/sec: 251.12
2020-06-10 16:15:57,656 epoch 94 - iter 464/585 - loss 0.18070217 - samples/sec: 248.65
2020-06-10 16:16:06,919 epoch 94 - iter 522/585 - loss 0.17882674 - samples/sec: 202.55
2020-06-10 16:16:14,528 epoch 94 - iter 580/585 - loss 0.17898873 - samples/sec: 247.04
2020-06-10 16:16:15,305 ----------------------------------------------------------------------------------------------------
2020-06-10 16:16:15,306 EPOCH 94 done: loss 0.1792 - lr 0.0500000
2020-06-10 16:16:15,306 BAD EPOCHS (no improvement): 0
2020-06-10 16:16:15,306 ----------------------------------------------------------------------------------------------------
2020-06-10 16:16:23,141 epoch 95 - iter 58/585 - loss 0.21125996 - samples/sec: 237.01
2020-06-10 16:16:30,773 epoch 95 - iter 116/585 - loss 0.19254347 - samples/sec: 246.29
2020-06-10 16:16:38,642 epoch 95 - iter 174/585 - loss 0.19419002 - samples/sec: 238.89
2020-06-10 16:16:47,855 epoch 95 - iter 232/585 - loss 0.19513057 - samples/sec: 203.61
2020-06-10 16:16:55,300 epoch 95 - iter 290/585 - loss 0.18683973 - samples/sec: 252.67
2020-06-10 16:17:03,819 epoch 95 - iter 348/585 - loss 0.18638696 - samples/sec: 220.40
2020-06-10 16:17:13,381 epoch 95 - iter 406/585 - loss 0.18528449 - samples/sec: 196.18
2020-06-10 16:17:21,054 epoch 95 - iter 464/585 - loss 0.18564657 - samples/sec: 244.98
2020-06-10 16:17:29,100 epoch 95 - iter 522/585 - loss 0.18694678 - samples/sec: 233.47
2020-06-10 16:17:37,767 epoch 95 - iter 580/585 - loss 0.18554814 - samples/sec: 216.57
2020-06-10 16:17:38,400 ----------------------------------------------------------------------------------------------------
2020-06-10 16:17:38,400 EPOCH 95 done: loss 0.1849 - lr 0.0500000
2020-06-10 16:17:38,400 BAD EPOCHS (no improvement): 1
2020-06-10 16:17:38,400 ----------------------------------------------------------------------------------------------------
2020-06-10 16:17:47,804 epoch 96 - iter 58/585 - loss 0.14536979 - samples/sec: 197.45
2020-06-10 16:17:55,492 epoch 96 - iter 116/585 - loss 0.15717223 - samples/sec: 244.57
2020-06-10 16:18:03,456 epoch 96 - iter 174/585 - loss 0.16386422 - samples/sec: 235.93
2020-06-10 16:18:11,863 epoch 96 - iter 232/585 - loss 0.17112010 - samples/sec: 223.33
2020-06-10 16:18:19,588 epoch 96 - iter 290/585 - loss 0.17950983 - samples/sec: 243.55
2020-06-10 16:18:29,148 epoch 96 - iter 348/585 - loss 0.18722003 - samples/sec: 196.11
2020-06-10 16:18:36,736 epoch 96 - iter 406/585 - loss 0.18451283 - samples/sec: 247.79
2020-06-10 16:18:44,428 epoch 96 - iter 464/585 - loss 0.18787231 - samples/sec: 244.42
2020-06-10 16:18:53,704 epoch 96 - iter 522/585 - loss 0.18589420 - samples/sec: 202.21
2020-06-10 16:19:01,021 epoch 96 - iter 580/585 - loss 0.18579691 - samples/sec: 257.04
2020-06-10 16:19:01,717 ----------------------------------------------------------------------------------------------------
2020-06-10 16:19:01,717 EPOCH 96 done: loss 0.1852 - lr 0.0500000
2020-06-10 16:19:01,717 BAD EPOCHS (no improvement): 2
2020-06-10 16:19:01,718 ----------------------------------------------------------------------------------------------------
2020-06-10 16:19:09,319 epoch 97 - iter 58/585 - loss 0.18100033 - samples/sec: 244.28
2020-06-10 16:19:18,306 epoch 97 - iter 116/585 - loss 0.18010993 - samples/sec: 208.82
2020-06-10 16:19:29,923 epoch 97 - iter 174/585 - loss 0.18237957 - samples/sec: 161.12
2020-06-10 16:19:37,462 epoch 97 - iter 232/585 - loss 0.17930662 - samples/sec: 249.42
2020-06-10 16:19:45,662 epoch 97 - iter 290/585 - loss 0.18195802 - samples/sec: 229.04
2020-06-10 16:19:53,746 epoch 97 - iter 348/585 - loss 0.18041394 - samples/sec: 232.42
2020-06-10 16:20:01,368 epoch 97 - iter 406/585 - loss 0.18144568 - samples/sec: 246.63
2020-06-10 16:20:09,068 epoch 97 - iter 464/585 - loss 0.18443968 - samples/sec: 244.13
2020-06-10 16:20:16,510 epoch 97 - iter 522/585 - loss 0.18421405 - samples/sec: 252.73
2020-06-10 16:20:24,382 epoch 97 - iter 580/585 - loss 0.18426475 - samples/sec: 238.71
2020-06-10 16:20:25,116 ----------------------------------------------------------------------------------------------------
2020-06-10 16:20:25,116 EPOCH 97 done: loss 0.1847 - lr 0.0500000
2020-06-10 16:20:25,116 BAD EPOCHS (no improvement): 3
2020-06-10 16:20:25,117 ----------------------------------------------------------------------------------------------------
2020-06-10 16:20:32,780 epoch 98 - iter 58/585 - loss 0.19303621 - samples/sec: 242.33
2020-06-10 16:20:40,378 epoch 98 - iter 116/585 - loss 0.18090949 - samples/sec: 247.48
2020-06-10 16:20:50,873 epoch 98 - iter 174/585 - loss 0.17308262 - samples/sec: 178.52
2020-06-10 16:20:59,261 epoch 98 - iter 232/585 - loss 0.17169379 - samples/sec: 223.92
2020-06-10 16:21:07,214 epoch 98 - iter 290/585 - loss 0.17186565 - samples/sec: 236.22
2020-06-10 16:21:16,166 epoch 98 - iter 348/585 - loss 0.17014552 - samples/sec: 209.62
2020-06-10 16:21:23,804 epoch 98 - iter 406/585 - loss 0.16988525 - samples/sec: 246.16
2020-06-10 16:21:31,631 epoch 98 - iter 464/585 - loss 0.17133714 - samples/sec: 240.15
2020-06-10 16:21:39,691 epoch 98 - iter 522/585 - loss 0.17391463 - samples/sec: 233.09
2020-06-10 16:21:47,356 epoch 98 - iter 580/585 - loss 0.17465572 - samples/sec: 245.28
2020-06-10 16:21:48,042 ----------------------------------------------------------------------------------------------------
2020-06-10 16:21:48,042 EPOCH 98 done: loss 0.1754 - lr 0.0500000
2020-06-10 16:21:48,042 BAD EPOCHS (no improvement): 0
2020-06-10 16:21:48,042 ----------------------------------------------------------------------------------------------------
2020-06-10 16:21:55,561 epoch 99 - iter 58/585 - loss 0.18072762 - samples/sec: 246.99
2020-06-10 16:22:03,395 epoch 99 - iter 116/585 - loss 0.18328597 - samples/sec: 239.89
2020-06-10 16:22:13,912 epoch 99 - iter 174/585 - loss 0.19155386 - samples/sec: 178.12
2020-06-10 16:22:21,305 epoch 99 - iter 232/585 - loss 0.18507244 - samples/sec: 254.38
2020-06-10 16:22:28,915 epoch 99 - iter 290/585 - loss 0.18518785 - samples/sec: 247.05
2020-06-10 16:22:37,042 epoch 99 - iter 348/585 - loss 0.18489715 - samples/sec: 231.16
2020-06-10 16:22:45,199 epoch 99 - iter 406/585 - loss 0.18301119 - samples/sec: 230.31
2020-06-10 16:22:52,956 epoch 99 - iter 464/585 - loss 0.18489822 - samples/sec: 242.30
2020-06-10 16:23:01,328 epoch 99 - iter 522/585 - loss 0.18345416 - samples/sec: 224.26
2020-06-10 16:23:10,518 epoch 99 - iter 580/585 - loss 0.18347434 - samples/sec: 204.14
2020-06-10 16:23:11,196 ----------------------------------------------------------------------------------------------------
2020-06-10 16:23:11,197 EPOCH 99 done: loss 0.1840 - lr 0.0500000
2020-06-10 16:23:11,197 BAD EPOCHS (no improvement): 1
2020-06-10 16:23:11,197 ----------------------------------------------------------------------------------------------------
2020-06-10 16:23:20,438 epoch 100 - iter 58/585 - loss 0.17658429 - samples/sec: 200.93
2020-06-10 16:23:28,175 epoch 100 - iter 116/585 - loss 0.17541276 - samples/sec: 242.93
2020-06-10 16:23:35,700 epoch 100 - iter 174/585 - loss 0.17461128 - samples/sec: 249.87
2020-06-10 16:23:43,109 epoch 100 - iter 232/585 - loss 0.18422827 - samples/sec: 253.79
2020-06-10 16:23:51,996 epoch 100 - iter 290/585 - loss 0.18371927 - samples/sec: 211.15
2020-06-10 16:24:01,103 epoch 100 - iter 348/585 - loss 0.18649266 - samples/sec: 206.03
2020-06-10 16:24:08,856 epoch 100 - iter 406/585 - loss 0.18727837 - samples/sec: 242.40
2020-06-10 16:24:16,647 epoch 100 - iter 464/585 - loss 0.18561514 - samples/sec: 241.26
2020-06-10 16:24:24,571 epoch 100 - iter 522/585 - loss 0.18277785 - samples/sec: 237.08
2020-06-10 16:24:33,257 epoch 100 - iter 580/585 - loss 0.18117127 - samples/sec: 216.08
2020-06-10 16:24:33,911 ----------------------------------------------------------------------------------------------------
2020-06-10 16:24:33,911 EPOCH 100 done: loss 0.1804 - lr 0.0500000
2020-06-10 16:24:33,911 BAD EPOCHS (no improvement): 2
2020-06-10 16:24:33,911 ----------------------------------------------------------------------------------------------------
2020-06-10 16:24:41,637 epoch 101 - iter 58/585 - loss 0.21227647 - samples/sec: 240.36
2020-06-10 16:24:52,058 epoch 101 - iter 116/585 - loss 0.19808138 - samples/sec: 179.78
2020-06-10 16:24:59,862 epoch 101 - iter 174/585 - loss 0.18985102 - samples/sec: 240.79
2020-06-10 16:25:07,653 epoch 101 - iter 232/585 - loss 0.18582824 - samples/sec: 241.26
2020-06-10 16:25:15,700 epoch 101 - iter 290/585 - loss 0.18519430 - samples/sec: 233.51
2020-06-10 16:25:23,624 epoch 101 - iter 348/585 - loss 0.18366507 - samples/sec: 237.14
2020-06-10 16:25:31,914 epoch 101 - iter 406/585 - loss 0.18464786 - samples/sec: 226.55
2020-06-10 16:25:39,470 epoch 101 - iter 464/585 - loss 0.18434439 - samples/sec: 248.83
2020-06-10 16:25:48,313 epoch 101 - iter 522/585 - loss 0.18280688 - samples/sec: 212.19
2020-06-10 16:25:56,217 epoch 101 - iter 580/585 - loss 0.18209832 - samples/sec: 237.71
2020-06-10 16:25:57,006 ----------------------------------------------------------------------------------------------------
2020-06-10 16:25:57,006 EPOCH 101 done: loss 0.1820 - lr 0.0500000
2020-06-10 16:25:57,006 BAD EPOCHS (no improvement): 3
2020-06-10 16:25:57,006 ----------------------------------------------------------------------------------------------------
2020-06-10 16:26:04,516 epoch 102 - iter 58/585 - loss 0.15721472 - samples/sec: 247.27
2020-06-10 16:26:12,227 epoch 102 - iter 116/585 - loss 0.16101371 - samples/sec: 243.75
2020-06-10 16:26:21,673 epoch 102 - iter 174/585 - loss 0.16833288 - samples/sec: 198.53
2020-06-10 16:26:29,289 epoch 102 - iter 232/585 - loss 0.16943384 - samples/sec: 246.84
2020-06-10 16:26:37,209 epoch 102 - iter 290/585 - loss 0.17224642 - samples/sec: 237.25
2020-06-10 16:26:46,592 epoch 102 - iter 348/585 - loss 0.17000900 - samples/sec: 199.88
2020-06-10 16:26:55,257 epoch 102 - iter 406/585 - loss 0.17715360 - samples/sec: 216.60
2020-06-10 16:27:03,116 epoch 102 - iter 464/585 - loss 0.17808972 - samples/sec: 239.14
2020-06-10 16:27:11,629 epoch 102 - iter 522/585 - loss 0.17605544 - samples/sec: 220.49
2020-06-10 16:27:19,366 epoch 102 - iter 580/585 - loss 0.17471226 - samples/sec: 242.92
2020-06-10 16:27:20,071 ----------------------------------------------------------------------------------------------------
2020-06-10 16:27:20,071 EPOCH 102 done: loss 0.1752 - lr 0.0500000
2020-06-10 16:27:20,071 BAD EPOCHS (no improvement): 0
2020-06-10 16:27:20,072 ----------------------------------------------------------------------------------------------------
2020-06-10 16:27:27,541 epoch 103 - iter 58/585 - loss 0.17372055 - samples/sec: 248.63
2020-06-10 16:27:35,467 epoch 103 - iter 116/585 - loss 0.17274359 - samples/sec: 237.05
2020-06-10 16:27:43,483 epoch 103 - iter 174/585 - loss 0.17860044 - samples/sec: 234.39
2020-06-10 16:27:52,981 epoch 103 - iter 232/585 - loss 0.17747961 - samples/sec: 197.41
2020-06-10 16:28:00,562 epoch 103 - iter 290/585 - loss 0.17303602 - samples/sec: 248.00
2020-06-10 16:28:09,538 epoch 103 - iter 348/585 - loss 0.17486644 - samples/sec: 209.00
2020-06-10 16:28:18,264 epoch 103 - iter 406/585 - loss 0.17718822 - samples/sec: 215.06
2020-06-10 16:28:25,782 epoch 103 - iter 464/585 - loss 0.17525986 - samples/sec: 250.06
2020-06-10 16:28:33,745 epoch 103 - iter 522/585 - loss 0.17317359 - samples/sec: 235.95
2020-06-10 16:28:42,177 epoch 103 - iter 580/585 - loss 0.17387607 - samples/sec: 222.67
2020-06-10 16:28:42,876 ----------------------------------------------------------------------------------------------------
2020-06-10 16:28:42,876 EPOCH 103 done: loss 0.1734 - lr 0.0500000
2020-06-10 16:28:42,876 BAD EPOCHS (no improvement): 0
2020-06-10 16:28:42,876 ----------------------------------------------------------------------------------------------------
2020-06-10 16:28:50,641 epoch 104 - iter 58/585 - loss 0.18186629 - samples/sec: 239.17
2020-06-10 16:28:59,841 epoch 104 - iter 116/585 - loss 0.17184074 - samples/sec: 203.88
2020-06-10 16:29:07,517 epoch 104 - iter 174/585 - loss 0.17529061 - samples/sec: 244.91
2020-06-10 16:29:16,462 epoch 104 - iter 232/585 - loss 0.17442635 - samples/sec: 209.77
2020-06-10 16:29:24,179 epoch 104 - iter 290/585 - loss 0.17886053 - samples/sec: 243.59
2020-06-10 16:29:31,811 epoch 104 - iter 348/585 - loss 0.17813416 - samples/sec: 246.33
2020-06-10 16:29:39,431 epoch 104 - iter 406/585 - loss 0.17769220 - samples/sec: 246.66
2020-06-10 16:29:47,911 epoch 104 - iter 464/585 - loss 0.17657898 - samples/sec: 221.40
2020-06-10 16:29:55,735 epoch 104 - iter 522/585 - loss 0.17587965 - samples/sec: 240.27
2020-06-10 16:30:04,887 epoch 104 - iter 580/585 - loss 0.17627555 - samples/sec: 204.96
2020-06-10 16:30:05,575 ----------------------------------------------------------------------------------------------------
2020-06-10 16:30:05,575 EPOCH 104 done: loss 0.1763 - lr 0.0500000
2020-06-10 16:30:05,575 BAD EPOCHS (no improvement): 1
2020-06-10 16:30:05,575 ----------------------------------------------------------------------------------------------------
2020-06-10 16:30:13,125 epoch 105 - iter 58/585 - loss 0.21415611 - samples/sec: 245.97
2020-06-10 16:30:22,065 epoch 105 - iter 116/585 - loss 0.18948878 - samples/sec: 209.87
2020-06-10 16:30:31,450 epoch 105 - iter 174/585 - loss 0.19250900 - samples/sec: 199.81
2020-06-10 16:30:39,164 epoch 105 - iter 232/585 - loss 0.19041408 - samples/sec: 243.71
2020-06-10 16:30:47,062 epoch 105 - iter 290/585 - loss 0.18572295 - samples/sec: 237.97
2020-06-10 16:30:57,637 epoch 105 - iter 348/585 - loss 0.17835015 - samples/sec: 177.12
2020-06-10 16:31:05,272 epoch 105 - iter 406/585 - loss 0.17450154 - samples/sec: 246.24
2020-06-10 16:31:12,648 epoch 105 - iter 464/585 - loss 0.17221170 - samples/sec: 254.95
2020-06-10 16:31:20,635 epoch 105 - iter 522/585 - loss 0.17278887 - samples/sec: 235.21
2020-06-10 16:31:28,379 epoch 105 - iter 580/585 - loss 0.17406856 - samples/sec: 242.69
2020-06-10 16:31:29,041 ----------------------------------------------------------------------------------------------------
2020-06-10 16:31:29,041 EPOCH 105 done: loss 0.1736 - lr 0.0500000
2020-06-10 16:31:29,041 BAD EPOCHS (no improvement): 2
2020-06-10 16:31:29,041 ----------------------------------------------------------------------------------------------------
2020-06-10 16:31:37,396 epoch 106 - iter 58/585 - loss 0.14520497 - samples/sec: 222.26
2020-06-10 16:31:45,224 epoch 106 - iter 116/585 - loss 0.15102753 - samples/sec: 240.03
2020-06-10 16:31:54,120 epoch 106 - iter 174/585 - loss 0.16042852 - samples/sec: 210.91
2020-06-10 16:32:01,799 epoch 106 - iter 232/585 - loss 0.16735079 - samples/sec: 244.83
2020-06-10 16:32:09,312 epoch 106 - iter 290/585 - loss 0.16928686 - samples/sec: 250.26
2020-06-10 16:32:18,363 epoch 106 - iter 348/585 - loss 0.17033709 - samples/sec: 207.30
2020-06-10 16:32:26,239 epoch 106 - iter 406/585 - loss 0.17055550 - samples/sec: 238.60
2020-06-10 16:32:34,144 epoch 106 - iter 464/585 - loss 0.16740593 - samples/sec: 237.72
2020-06-10 16:32:42,157 epoch 106 - iter 522/585 - loss 0.16989191 - samples/sec: 234.44
2020-06-10 16:32:51,635 epoch 106 - iter 580/585 - loss 0.17199323 - samples/sec: 197.83
2020-06-10 16:32:52,247 ----------------------------------------------------------------------------------------------------
2020-06-10 16:32:52,247 EPOCH 106 done: loss 0.1711 - lr 0.0500000
2020-06-10 16:32:52,247 BAD EPOCHS (no improvement): 0
2020-06-10 16:32:52,248 ----------------------------------------------------------------------------------------------------
2020-06-10 16:32:59,700 epoch 107 - iter 58/585 - loss 0.16128485 - samples/sec: 249.19
2020-06-10 16:33:07,701 epoch 107 - iter 116/585 - loss 0.17865513 - samples/sec: 234.79
2020-06-10 16:33:18,375 epoch 107 - iter 174/585 - loss 0.18230926 - samples/sec: 175.48
2020-06-10 16:33:26,748 epoch 107 - iter 232/585 - loss 0.17905921 - samples/sec: 224.29
2020-06-10 16:33:35,687 epoch 107 - iter 290/585 - loss 0.17934237 - samples/sec: 209.92
2020-06-10 16:33:43,386 epoch 107 - iter 348/585 - loss 0.17755430 - samples/sec: 244.08
2020-06-10 16:33:50,648 epoch 107 - iter 406/585 - loss 0.17288445 - samples/sec: 259.03
2020-06-10 16:33:58,465 epoch 107 - iter 464/585 - loss 0.17092855 - samples/sec: 240.42
2020-06-10 16:34:06,177 epoch 107 - iter 522/585 - loss 0.17116137 - samples/sec: 243.89
2020-06-10 16:34:14,674 epoch 107 - iter 580/585 - loss 0.17044940 - samples/sec: 220.91
2020-06-10 16:34:15,394 ----------------------------------------------------------------------------------------------------
2020-06-10 16:34:15,394 EPOCH 107 done: loss 0.1708 - lr 0.0500000
2020-06-10 16:34:15,394 BAD EPOCHS (no improvement): 0
2020-06-10 16:34:15,395 ----------------------------------------------------------------------------------------------------
2020-06-10 16:34:23,111 epoch 108 - iter 58/585 - loss 0.18191177 - samples/sec: 240.64
2020-06-10 16:34:30,749 epoch 108 - iter 116/585 - loss 0.19536009 - samples/sec: 246.12
2020-06-10 16:34:38,628 epoch 108 - iter 174/585 - loss 0.18045227 - samples/sec: 238.52
2020-06-10 16:34:48,028 epoch 108 - iter 232/585 - loss 0.17890250 - samples/sec: 199.61
2020-06-10 16:34:56,102 epoch 108 - iter 290/585 - loss 0.17521931 - samples/sec: 232.73
2020-06-10 16:35:04,705 epoch 108 - iter 348/585 - loss 0.17288613 - samples/sec: 218.20
2020-06-10 16:35:13,819 epoch 108 - iter 406/585 - loss 0.17216832 - samples/sec: 205.83
2020-06-10 16:35:22,893 epoch 108 - iter 464/585 - loss 0.17213979 - samples/sec: 206.75
2020-06-10 16:35:30,370 epoch 108 - iter 522/585 - loss 0.17154594 - samples/sec: 251.56
2020-06-10 16:35:37,824 epoch 108 - iter 580/585 - loss 0.16981652 - samples/sec: 252.28
2020-06-10 16:35:38,619 ----------------------------------------------------------------------------------------------------
2020-06-10 16:35:38,619 EPOCH 108 done: loss 0.1698 - lr 0.0500000
2020-06-10 16:35:38,619 BAD EPOCHS (no improvement): 0
2020-06-10 16:35:38,619 ----------------------------------------------------------------------------------------------------
2020-06-10 16:35:46,668 epoch 109 - iter 58/585 - loss 0.17713501 - samples/sec: 230.70
2020-06-10 16:35:54,649 epoch 109 - iter 116/585 - loss 0.16835333 - samples/sec: 235.52
2020-06-10 16:36:03,146 epoch 109 - iter 174/585 - loss 0.17133424 - samples/sec: 220.98
2020-06-10 16:36:10,486 epoch 109 - iter 232/585 - loss 0.16850856 - samples/sec: 256.30
2020-06-10 16:36:18,092 epoch 109 - iter 290/585 - loss 0.16607572 - samples/sec: 247.20
2020-06-10 16:36:25,828 epoch 109 - iter 348/585 - loss 0.16955839 - samples/sec: 242.96
2020-06-10 16:36:33,991 epoch 109 - iter 406/585 - loss 0.16854961 - samples/sec: 230.30
2020-06-10 16:36:45,968 epoch 109 - iter 464/585 - loss 0.16827530 - samples/sec: 156.23
2020-06-10 16:36:53,510 epoch 109 - iter 522/585 - loss 0.16699905 - samples/sec: 249.31
2020-06-10 16:37:00,972 epoch 109 - iter 580/585 - loss 0.16715299 - samples/sec: 251.99
2020-06-10 16:37:01,696 ----------------------------------------------------------------------------------------------------
2020-06-10 16:37:01,697 EPOCH 109 done: loss 0.1666 - lr 0.0500000
2020-06-10 16:37:01,697 BAD EPOCHS (no improvement): 0
2020-06-10 16:37:01,697 ----------------------------------------------------------------------------------------------------
2020-06-10 16:37:10,016 epoch 110 - iter 58/585 - loss 0.13545190 - samples/sec: 223.22
2020-06-10 16:37:17,650 epoch 110 - iter 116/585 - loss 0.13828633 - samples/sec: 246.28
2020-06-10 16:37:25,435 epoch 110 - iter 174/585 - loss 0.14075600 - samples/sec: 241.43
2020-06-10 16:37:33,194 epoch 110 - iter 232/585 - loss 0.14635296 - samples/sec: 242.21
2020-06-10 16:37:43,754 epoch 110 - iter 290/585 - loss 0.14809261 - samples/sec: 177.38
2020-06-10 16:37:51,175 epoch 110 - iter 348/585 - loss 0.15343979 - samples/sec: 253.45
2020-06-10 16:37:59,095 epoch 110 - iter 406/585 - loss 0.15700112 - samples/sec: 237.26
2020-06-10 16:38:06,985 epoch 110 - iter 464/585 - loss 0.15827672 - samples/sec: 238.16
2020-06-10 16:38:15,669 epoch 110 - iter 522/585 - loss 0.15868538 - samples/sec: 216.13
2020-06-10 16:38:23,596 epoch 110 - iter 580/585 - loss 0.16110374 - samples/sec: 237.03
2020-06-10 16:38:24,342 ----------------------------------------------------------------------------------------------------
2020-06-10 16:38:24,342 EPOCH 110 done: loss 0.1605 - lr 0.0500000
2020-06-10 16:38:24,342 BAD EPOCHS (no improvement): 0
2020-06-10 16:38:24,342 ----------------------------------------------------------------------------------------------------
2020-06-10 16:38:32,845 epoch 111 - iter 58/585 - loss 0.16339104 - samples/sec: 218.39
2020-06-10 16:38:40,576 epoch 111 - iter 116/585 - loss 0.16146475 - samples/sec: 243.16
2020-06-10 16:38:48,375 epoch 111 - iter 174/585 - loss 0.16886187 - samples/sec: 240.97
2020-06-10 16:38:55,541 epoch 111 - iter 232/585 - loss 0.16618701 - samples/sec: 262.53
2020-06-10 16:39:04,529 epoch 111 - iter 290/585 - loss 0.16776591 - samples/sec: 208.74
2020-06-10 16:39:12,698 epoch 111 - iter 348/585 - loss 0.16619984 - samples/sec: 229.91
2020-06-10 16:39:20,606 epoch 111 - iter 406/585 - loss 0.16254554 - samples/sec: 237.62
2020-06-10 16:39:28,244 epoch 111 - iter 464/585 - loss 0.16379315 - samples/sec: 246.11
2020-06-10 16:39:35,920 epoch 111 - iter 522/585 - loss 0.16680083 - samples/sec: 244.86
2020-06-10 16:39:46,552 epoch 111 - iter 580/585 - loss 0.16717014 - samples/sec: 176.21
2020-06-10 16:39:47,299 ----------------------------------------------------------------------------------------------------
2020-06-10 16:39:47,299 EPOCH 111 done: loss 0.1669 - lr 0.0500000
2020-06-10 16:39:47,299 BAD EPOCHS (no improvement): 1
2020-06-10 16:39:47,299 ----------------------------------------------------------------------------------------------------
2020-06-10 16:39:55,032 epoch 112 - iter 58/585 - loss 0.15189502 - samples/sec: 240.14
2020-06-10 16:40:02,835 epoch 112 - iter 116/585 - loss 0.15382312 - samples/sec: 240.91
2020-06-10 16:40:10,611 epoch 112 - iter 174/585 - loss 0.15818778 - samples/sec: 241.67
2020-06-10 16:40:18,110 epoch 112 - iter 232/585 - loss 0.15955124 - samples/sec: 250.70
2020-06-10 16:40:25,593 epoch 112 - iter 290/585 - loss 0.15738871 - samples/sec: 251.29
2020-06-10 16:40:34,427 epoch 112 - iter 348/585 - loss 0.16156359 - samples/sec: 212.40
2020-06-10 16:40:42,079 epoch 112 - iter 406/585 - loss 0.16173991 - samples/sec: 245.65
2020-06-10 16:40:53,622 epoch 112 - iter 464/585 - loss 0.16106559 - samples/sec: 162.16
2020-06-10 16:41:01,380 epoch 112 - iter 522/585 - loss 0.15677318 - samples/sec: 242.28
2020-06-10 16:41:09,015 epoch 112 - iter 580/585 - loss 0.15855277 - samples/sec: 246.20
2020-06-10 16:41:09,899 ----------------------------------------------------------------------------------------------------
2020-06-10 16:41:09,899 EPOCH 112 done: loss 0.1591 - lr 0.0500000
2020-06-10 16:41:09,899 BAD EPOCHS (no improvement): 0
2020-06-10 16:41:09,899 ----------------------------------------------------------------------------------------------------
2020-06-10 16:41:18,609 epoch 113 - iter 58/585 - loss 0.15722349 - samples/sec: 213.20
2020-06-10 16:41:27,647 epoch 113 - iter 116/585 - loss 0.15422640 - samples/sec: 207.70
2020-06-10 16:41:35,581 epoch 113 - iter 174/585 - loss 0.15856311 - samples/sec: 236.83
2020-06-10 16:41:43,106 epoch 113 - iter 232/585 - loss 0.16202565 - samples/sec: 249.83
2020-06-10 16:41:50,746 epoch 113 - iter 290/585 - loss 0.15905793 - samples/sec: 246.04
2020-06-10 16:41:58,686 epoch 113 - iter 348/585 - loss 0.16133271 - samples/sec: 236.66
2020-06-10 16:42:06,191 epoch 113 - iter 406/585 - loss 0.16199469 - samples/sec: 250.53
2020-06-10 16:42:15,302 epoch 113 - iter 464/585 - loss 0.16081828 - samples/sec: 205.90
2020-06-10 16:42:24,223 epoch 113 - iter 522/585 - loss 0.16053699 - samples/sec: 210.35
2020-06-10 16:42:31,964 epoch 113 - iter 580/585 - loss 0.16126726 - samples/sec: 242.81
2020-06-10 16:42:32,653 ----------------------------------------------------------------------------------------------------
2020-06-10 16:42:32,653 EPOCH 113 done: loss 0.1608 - lr 0.0500000
2020-06-10 16:42:32,653 BAD EPOCHS (no improvement): 1
2020-06-10 16:42:32,653 ----------------------------------------------------------------------------------------------------
2020-06-10 16:42:40,331 epoch 114 - iter 58/585 - loss 0.14956326 - samples/sec: 241.88
2020-06-10 16:42:49,188 epoch 114 - iter 116/585 - loss 0.15919017 - samples/sec: 211.91
2020-06-10 16:42:58,247 epoch 114 - iter 174/585 - loss 0.16411617 - samples/sec: 207.11
2020-06-10 16:43:07,442 epoch 114 - iter 232/585 - loss 0.16287173 - samples/sec: 204.02
2020-06-10 16:43:15,233 epoch 114 - iter 290/585 - loss 0.15947858 - samples/sec: 241.22
2020-06-10 16:43:22,868 epoch 114 - iter 348/585 - loss 0.15893654 - samples/sec: 246.21
2020-06-10 16:43:30,519 epoch 114 - iter 406/585 - loss 0.16291871 - samples/sec: 245.72
2020-06-10 16:43:38,119 epoch 114 - iter 464/585 - loss 0.16481176 - samples/sec: 247.34
2020-06-10 16:43:46,088 epoch 114 - iter 522/585 - loss 0.16346307 - samples/sec: 235.76
2020-06-10 16:43:54,805 epoch 114 - iter 580/585 - loss 0.16325366 - samples/sec: 215.32
2020-06-10 16:43:55,477 ----------------------------------------------------------------------------------------------------
2020-06-10 16:43:55,478 EPOCH 114 done: loss 0.1628 - lr 0.0500000
2020-06-10 16:43:55,478 BAD EPOCHS (no improvement): 2
2020-06-10 16:43:55,478 ----------------------------------------------------------------------------------------------------
2020-06-10 16:44:04,418 epoch 115 - iter 58/585 - loss 0.17547375 - samples/sec: 207.71
2020-06-10 16:44:13,266 epoch 115 - iter 116/585 - loss 0.16778305 - samples/sec: 212.07
2020-06-10 16:44:21,325 epoch 115 - iter 174/585 - loss 0.17077544 - samples/sec: 233.10
2020-06-10 16:44:28,899 epoch 115 - iter 232/585 - loss 0.16241649 - samples/sec: 248.19
2020-06-10 16:44:36,871 epoch 115 - iter 290/585 - loss 0.16185334 - samples/sec: 235.73
2020-06-10 16:44:44,401 epoch 115 - iter 348/585 - loss 0.16155022 - samples/sec: 249.71
2020-06-10 16:44:53,633 epoch 115 - iter 406/585 - loss 0.16063430 - samples/sec: 203.17
2020-06-10 16:45:02,387 epoch 115 - iter 464/585 - loss 0.16163264 - samples/sec: 214.38
2020-06-10 16:45:09,979 epoch 115 - iter 522/585 - loss 0.16040397 - samples/sec: 247.62
2020-06-10 16:45:17,697 epoch 115 - iter 580/585 - loss 0.16105057 - samples/sec: 243.64
2020-06-10 16:45:18,423 ----------------------------------------------------------------------------------------------------
2020-06-10 16:45:18,423 EPOCH 115 done: loss 0.1607 - lr 0.0500000
2020-06-10 16:45:18,423 BAD EPOCHS (no improvement): 3
2020-06-10 16:45:18,423 ----------------------------------------------------------------------------------------------------
2020-06-10 16:45:26,005 epoch 116 - iter 58/585 - loss 0.16922316 - samples/sec: 244.93
2020-06-10 16:45:33,807 epoch 116 - iter 116/585 - loss 0.17267916 - samples/sec: 241.01
2020-06-10 16:45:41,257 epoch 116 - iter 174/585 - loss 0.16279278 - samples/sec: 252.38
2020-06-10 16:45:49,020 epoch 116 - iter 232/585 - loss 0.16346892 - samples/sec: 242.09
2020-06-10 16:45:56,852 epoch 116 - iter 290/585 - loss 0.15944747 - samples/sec: 239.97
2020-06-10 16:46:05,966 epoch 116 - iter 348/585 - loss 0.15968709 - samples/sec: 205.82
2020-06-10 16:46:15,853 epoch 116 - iter 406/585 - loss 0.16108399 - samples/sec: 189.66
2020-06-10 16:46:25,174 epoch 116 - iter 464/585 - loss 0.16236594 - samples/sec: 201.23
2020-06-10 16:46:32,793 epoch 116 - iter 522/585 - loss 0.16234283 - samples/sec: 246.74
2020-06-10 16:46:40,579 epoch 116 - iter 580/585 - loss 0.16222430 - samples/sec: 241.47
2020-06-10 16:46:41,296 ----------------------------------------------------------------------------------------------------
2020-06-10 16:46:41,296 EPOCH 116 done: loss 0.1620 - lr 0.0500000
2020-06-10 16:46:41,296 BAD EPOCHS (no improvement): 4
2020-06-10 16:46:41,296 ----------------------------------------------------------------------------------------------------
2020-06-10 16:46:48,918 epoch 117 - iter 58/585 - loss 0.15194615 - samples/sec: 243.65
2020-06-10 16:46:57,288 epoch 117 - iter 116/585 - loss 0.15325616 - samples/sec: 224.36
2020-06-10 16:47:05,076 epoch 117 - iter 174/585 - loss 0.15114062 - samples/sec: 241.32
2020-06-10 16:47:12,759 epoch 117 - iter 232/585 - loss 0.15316670 - samples/sec: 244.68
2020-06-10 16:47:21,054 epoch 117 - iter 290/585 - loss 0.15142928 - samples/sec: 226.38
2020-06-10 16:47:29,840 epoch 117 - iter 348/585 - loss 0.15181933 - samples/sec: 213.60
2020-06-10 16:47:37,554 epoch 117 - iter 406/585 - loss 0.14933881 - samples/sec: 243.67
2020-06-10 16:47:45,175 epoch 117 - iter 464/585 - loss 0.14619885 - samples/sec: 246.66
2020-06-10 16:47:54,328 epoch 117 - iter 522/585 - loss 0.14893449 - samples/sec: 204.94
2020-06-10 16:48:03,354 epoch 117 - iter 580/585 - loss 0.14854901 - samples/sec: 207.90
2020-06-10 16:48:04,060 ----------------------------------------------------------------------------------------------------
2020-06-10 16:48:04,060 EPOCH 117 done: loss 0.1486 - lr 0.0250000
2020-06-10 16:48:04,061 BAD EPOCHS (no improvement): 0
2020-06-10 16:48:04,061 ----------------------------------------------------------------------------------------------------
2020-06-10 16:48:11,663 epoch 118 - iter 58/585 - loss 0.10970657 - samples/sec: 244.28
2020-06-10 16:48:18,962 epoch 118 - iter 116/585 - loss 0.13405640 - samples/sec: 257.68
2020-06-10 16:48:26,933 epoch 118 - iter 174/585 - loss 0.13626200 - samples/sec: 235.77
2020-06-10 16:48:34,465 epoch 118 - iter 232/585 - loss 0.13327947 - samples/sec: 249.63
2020-06-10 16:48:42,281 epoch 118 - iter 290/585 - loss 0.13768023 - samples/sec: 240.48
2020-06-10 16:48:51,032 epoch 118 - iter 348/585 - loss 0.13671333 - samples/sec: 214.44
2020-06-10 16:48:58,861 epoch 118 - iter 406/585 - loss 0.13528022 - samples/sec: 240.09
2020-06-10 16:49:09,310 epoch 118 - iter 464/585 - loss 0.13605775 - samples/sec: 179.28
2020-06-10 16:49:16,997 epoch 118 - iter 522/585 - loss 0.13833533 - samples/sec: 244.53
2020-06-10 16:49:26,311 epoch 118 - iter 580/585 - loss 0.13811312 - samples/sec: 201.44
2020-06-10 16:49:27,072 ----------------------------------------------------------------------------------------------------
2020-06-10 16:49:27,072 EPOCH 118 done: loss 0.1382 - lr 0.0250000
2020-06-10 16:49:27,072 BAD EPOCHS (no improvement): 0
2020-06-10 16:49:27,072 ----------------------------------------------------------------------------------------------------
2020-06-10 16:49:34,546 epoch 119 - iter 58/585 - loss 0.14730524 - samples/sec: 248.48
2020-06-10 16:49:42,336 epoch 119 - iter 116/585 - loss 0.13020488 - samples/sec: 241.24
2020-06-10 16:49:50,110 epoch 119 - iter 174/585 - loss 0.13352521 - samples/sec: 241.76
2020-06-10 16:49:59,834 epoch 119 - iter 232/585 - loss 0.13301845 - samples/sec: 192.76
2020-06-10 16:50:07,821 epoch 119 - iter 290/585 - loss 0.13477414 - samples/sec: 235.22
2020-06-10 16:50:15,303 epoch 119 - iter 348/585 - loss 0.13433860 - samples/sec: 251.32
2020-06-10 16:50:22,959 epoch 119 - iter 406/585 - loss 0.13556940 - samples/sec: 245.71
2020-06-10 16:50:32,322 epoch 119 - iter 464/585 - loss 0.13585203 - samples/sec: 200.33
2020-06-10 16:50:41,475 epoch 119 - iter 522/585 - loss 0.13500248 - samples/sec: 204.99
2020-06-10 16:50:49,286 epoch 119 - iter 580/585 - loss 0.13753881 - samples/sec: 240.66
2020-06-10 16:50:49,977 ----------------------------------------------------------------------------------------------------
2020-06-10 16:50:49,977 EPOCH 119 done: loss 0.1374 - lr 0.0250000
2020-06-10 16:50:49,977 BAD EPOCHS (no improvement): 0
2020-06-10 16:50:49,978 ----------------------------------------------------------------------------------------------------
2020-06-10 16:50:59,113 epoch 120 - iter 58/585 - loss 0.11262950 - samples/sec: 203.27
2020-06-10 16:51:07,989 epoch 120 - iter 116/585 - loss 0.12516240 - samples/sec: 211.41
2020-06-10 16:51:15,859 epoch 120 - iter 174/585 - loss 0.13029228 - samples/sec: 238.83
2020-06-10 16:51:23,653 epoch 120 - iter 232/585 - loss 0.13192930 - samples/sec: 241.17
2020-06-10 16:51:31,518 epoch 120 - iter 290/585 - loss 0.13023047 - samples/sec: 238.91
2020-06-10 16:51:39,652 epoch 120 - iter 348/585 - loss 0.13365596 - samples/sec: 230.91
2020-06-10 16:51:48,216 epoch 120 - iter 406/585 - loss 0.13649463 - samples/sec: 219.22
2020-06-10 16:51:55,931 epoch 120 - iter 464/585 - loss 0.13860238 - samples/sec: 243.64
2020-06-10 16:52:04,745 epoch 120 - iter 522/585 - loss 0.13771476 - samples/sec: 213.00
2020-06-10 16:52:12,394 epoch 120 - iter 580/585 - loss 0.13655362 - samples/sec: 245.70
2020-06-10 16:52:13,040 ----------------------------------------------------------------------------------------------------
2020-06-10 16:52:13,041 EPOCH 120 done: loss 0.1372 - lr 0.0250000
2020-06-10 16:52:13,041 BAD EPOCHS (no improvement): 0
2020-06-10 16:52:13,041 ----------------------------------------------------------------------------------------------------
2020-06-10 16:52:20,295 epoch 121 - iter 58/585 - loss 0.13374534 - samples/sec: 256.00
2020-06-10 16:52:27,637 epoch 121 - iter 116/585 - loss 0.13489600 - samples/sec: 256.15
2020-06-10 16:52:37,264 epoch 121 - iter 174/585 - loss 0.13999595 - samples/sec: 194.75
2020-06-10 16:52:45,167 epoch 121 - iter 232/585 - loss 0.14017431 - samples/sec: 237.77
2020-06-10 16:52:53,316 epoch 121 - iter 290/585 - loss 0.13694459 - samples/sec: 230.49
2020-06-10 16:53:00,905 epoch 121 - iter 348/585 - loss 0.13537168 - samples/sec: 247.78
2020-06-10 16:53:11,269 epoch 121 - iter 406/585 - loss 0.13485174 - samples/sec: 180.78
2020-06-10 16:53:19,113 epoch 121 - iter 464/585 - loss 0.13657667 - samples/sec: 239.61
2020-06-10 16:53:26,655 epoch 121 - iter 522/585 - loss 0.13502524 - samples/sec: 249.31
2020-06-10 16:53:34,552 epoch 121 - iter 580/585 - loss 0.13587130 - samples/sec: 237.99
2020-06-10 16:53:35,253 ----------------------------------------------------------------------------------------------------
2020-06-10 16:53:35,253 EPOCH 121 done: loss 0.1357 - lr 0.0250000
2020-06-10 16:53:35,253 BAD EPOCHS (no improvement): 0
2020-06-10 16:53:35,253 ----------------------------------------------------------------------------------------------------
2020-06-10 16:53:42,792 epoch 122 - iter 58/585 - loss 0.11634901 - samples/sec: 246.32
2020-06-10 16:53:50,549 epoch 122 - iter 116/585 - loss 0.12097282 - samples/sec: 242.29
2020-06-10 16:53:58,231 epoch 122 - iter 174/585 - loss 0.12423736 - samples/sec: 244.63
2020-06-10 16:54:05,860 epoch 122 - iter 232/585 - loss 0.12902185 - samples/sec: 246.44
2020-06-10 16:54:13,092 epoch 122 - iter 290/585 - loss 0.13225143 - samples/sec: 260.12
2020-06-10 16:54:21,154 epoch 122 - iter 348/585 - loss 0.13296988 - samples/sec: 232.98
2020-06-10 16:54:30,086 epoch 122 - iter 406/585 - loss 0.13555493 - samples/sec: 210.08
2020-06-10 16:54:40,063 epoch 122 - iter 464/585 - loss 0.13624864 - samples/sec: 187.85
2020-06-10 16:54:47,849 epoch 122 - iter 522/585 - loss 0.13791523 - samples/sec: 241.39
2020-06-10 16:54:57,095 epoch 122 - iter 580/585 - loss 0.13633833 - samples/sec: 202.88
2020-06-10 16:54:57,780 ----------------------------------------------------------------------------------------------------
2020-06-10 16:54:57,780 EPOCH 122 done: loss 0.1359 - lr 0.0250000
2020-06-10 16:54:57,780 BAD EPOCHS (no improvement): 1
2020-06-10 16:54:57,780 ----------------------------------------------------------------------------------------------------
2020-06-10 16:55:05,194 epoch 123 - iter 58/585 - loss 0.12498382 - samples/sec: 250.49
2020-06-10 16:55:13,116 epoch 123 - iter 116/585 - loss 0.12287663 - samples/sec: 237.19
2020-06-10 16:55:20,665 epoch 123 - iter 174/585 - loss 0.11986401 - samples/sec: 249.04
2020-06-10 16:55:28,477 epoch 123 - iter 232/585 - loss 0.12032802 - samples/sec: 240.55
2020-06-10 16:55:36,890 epoch 123 - iter 290/585 - loss 0.12393685 - samples/sec: 223.19
2020-06-10 16:55:44,403 epoch 123 - iter 348/585 - loss 0.12307669 - samples/sec: 250.26
2020-06-10 16:55:55,148 epoch 123 - iter 406/585 - loss 0.12976883 - samples/sec: 174.31
2020-06-10 16:56:03,177 epoch 123 - iter 464/585 - loss 0.13039798 - samples/sec: 233.99
2020-06-10 16:56:12,267 epoch 123 - iter 522/585 - loss 0.13254655 - samples/sec: 206.38
2020-06-10 16:56:19,594 epoch 123 - iter 580/585 - loss 0.13239347 - samples/sec: 256.67
2020-06-10 16:56:20,257 ----------------------------------------------------------------------------------------------------
2020-06-10 16:56:20,257 EPOCH 123 done: loss 0.1323 - lr 0.0250000
2020-06-10 16:56:20,257 BAD EPOCHS (no improvement): 0
2020-06-10 16:56:20,258 ----------------------------------------------------------------------------------------------------
2020-06-10 16:56:28,591 epoch 124 - iter 58/585 - loss 0.12646650 - samples/sec: 222.83
2020-06-10 16:56:36,525 epoch 124 - iter 116/585 - loss 0.12394905 - samples/sec: 236.88
2020-06-10 16:56:45,347 epoch 124 - iter 174/585 - loss 0.12421306 - samples/sec: 212.74
2020-06-10 16:56:54,632 epoch 124 - iter 232/585 - loss 0.13337116 - samples/sec: 202.05
2020-06-10 16:57:02,414 epoch 124 - iter 290/585 - loss 0.13551147 - samples/sec: 241.50
2020-06-10 16:57:11,608 epoch 124 - iter 348/585 - loss 0.13351571 - samples/sec: 204.03
2020-06-10 16:57:19,366 epoch 124 - iter 406/585 - loss 0.13347466 - samples/sec: 242.23
2020-06-10 16:57:27,094 epoch 124 - iter 464/585 - loss 0.13445456 - samples/sec: 243.23
2020-06-10 16:57:34,731 epoch 124 - iter 522/585 - loss 0.13468787 - samples/sec: 246.15
2020-06-10 16:57:42,398 epoch 124 - iter 580/585 - loss 0.13486154 - samples/sec: 245.15
2020-06-10 16:57:43,059 ----------------------------------------------------------------------------------------------------
2020-06-10 16:57:43,059 EPOCH 124 done: loss 0.1347 - lr 0.0250000
2020-06-10 16:57:43,059 BAD EPOCHS (no improvement): 1
2020-06-10 16:57:43,059 ----------------------------------------------------------------------------------------------------
2020-06-10 16:57:50,671 epoch 125 - iter 58/585 - loss 0.12351400 - samples/sec: 243.95
2020-06-10 16:57:58,593 epoch 125 - iter 116/585 - loss 0.12235445 - samples/sec: 237.19
2020-06-10 16:58:06,154 epoch 125 - iter 174/585 - loss 0.11919321 - samples/sec: 248.66
2020-06-10 16:58:14,050 epoch 125 - iter 232/585 - loss 0.11970359 - samples/sec: 238.00
2020-06-10 16:58:23,228 epoch 125 - iter 290/585 - loss 0.12340483 - samples/sec: 204.42
2020-06-10 16:58:31,755 epoch 125 - iter 348/585 - loss 0.12395095 - samples/sec: 220.17
2020-06-10 16:58:40,862 epoch 125 - iter 406/585 - loss 0.12457298 - samples/sec: 206.00
2020-06-10 16:58:48,427 epoch 125 - iter 464/585 - loss 0.12209191 - samples/sec: 248.54
2020-06-10 16:58:57,474 epoch 125 - iter 522/585 - loss 0.12375859 - samples/sec: 207.37
2020-06-10 16:59:05,215 epoch 125 - iter 580/585 - loss 0.12597309 - samples/sec: 242.76
2020-06-10 16:59:05,929 ----------------------------------------------------------------------------------------------------
2020-06-10 16:59:05,929 EPOCH 125 done: loss 0.1261 - lr 0.0250000
2020-06-10 16:59:05,929 BAD EPOCHS (no improvement): 0
2020-06-10 16:59:05,930 ----------------------------------------------------------------------------------------------------
2020-06-10 16:59:13,494 epoch 126 - iter 58/585 - loss 0.12566630 - samples/sec: 245.51
2020-06-10 16:59:22,473 epoch 126 - iter 116/585 - loss 0.12682636 - samples/sec: 208.92
2020-06-10 16:59:30,029 epoch 126 - iter 174/585 - loss 0.12577993 - samples/sec: 248.79
2020-06-10 16:59:37,796 epoch 126 - iter 232/585 - loss 0.12233217 - samples/sec: 242.01
2020-06-10 16:59:44,987 epoch 126 - iter 290/585 - loss 0.12433433 - samples/sec: 261.57
2020-06-10 16:59:54,022 epoch 126 - iter 348/585 - loss 0.12689290 - samples/sec: 207.61
2020-06-10 17:00:01,677 epoch 126 - iter 406/585 - loss 0.12550086 - samples/sec: 245.61
2020-06-10 17:00:12,496 epoch 126 - iter 464/585 - loss 0.12581898 - samples/sec: 173.11
2020-06-10 17:00:20,149 epoch 126 - iter 522/585 - loss 0.12581960 - samples/sec: 245.60
2020-06-10 17:00:27,815 epoch 126 - iter 580/585 - loss 0.12486239 - samples/sec: 245.19
2020-06-10 17:00:28,523 ----------------------------------------------------------------------------------------------------
2020-06-10 17:00:28,523 EPOCH 126 done: loss 0.1246 - lr 0.0250000
2020-06-10 17:00:28,523 BAD EPOCHS (no improvement): 0
2020-06-10 17:00:28,524 ----------------------------------------------------------------------------------------------------
2020-06-10 17:00:36,901 epoch 127 - iter 58/585 - loss 0.11216962 - samples/sec: 221.67
2020-06-10 17:00:44,860 epoch 127 - iter 116/585 - loss 0.11142915 - samples/sec: 236.05
2020-06-10 17:00:52,963 epoch 127 - iter 174/585 - loss 0.11885218 - samples/sec: 231.95
2020-06-10 17:01:01,848 epoch 127 - iter 232/585 - loss 0.12225516 - samples/sec: 211.21
2020-06-10 17:01:11,641 epoch 127 - iter 290/585 - loss 0.12480376 - samples/sec: 191.39
2020-06-10 17:01:20,818 epoch 127 - iter 348/585 - loss 0.12503109 - samples/sec: 204.43
2020-06-10 17:01:28,341 epoch 127 - iter 406/585 - loss 0.12515339 - samples/sec: 249.93
2020-06-10 17:01:35,965 epoch 127 - iter 464/585 - loss 0.12438622 - samples/sec: 246.55
2020-06-10 17:01:43,368 epoch 127 - iter 522/585 - loss 0.12285735 - samples/sec: 254.04
2020-06-10 17:01:50,871 epoch 127 - iter 580/585 - loss 0.12120616 - samples/sec: 250.62
2020-06-10 17:01:51,535 ----------------------------------------------------------------------------------------------------
2020-06-10 17:01:51,535 EPOCH 127 done: loss 0.1214 - lr 0.0250000
2020-06-10 17:01:51,535 BAD EPOCHS (no improvement): 0
2020-06-10 17:01:51,535 ----------------------------------------------------------------------------------------------------
2020-06-10 17:01:58,789 epoch 128 - iter 58/585 - loss 0.14242247 - samples/sec: 256.03
2020-06-10 17:02:07,178 epoch 128 - iter 116/585 - loss 0.13323801 - samples/sec: 223.80
2020-06-10 17:02:16,323 epoch 128 - iter 174/585 - loss 0.13602587 - samples/sec: 205.14
2020-06-10 17:02:24,069 epoch 128 - iter 232/585 - loss 0.13030011 - samples/sec: 242.64
2020-06-10 17:02:31,708 epoch 128 - iter 290/585 - loss 0.12412963 - samples/sec: 246.14
2020-06-10 17:02:41,023 epoch 128 - iter 348/585 - loss 0.12241089 - samples/sec: 201.33
2020-06-10 17:02:48,834 epoch 128 - iter 406/585 - loss 0.12786380 - samples/sec: 240.63
2020-06-10 17:02:58,287 epoch 128 - iter 464/585 - loss 0.12688198 - samples/sec: 198.37
2020-06-10 17:03:06,055 epoch 128 - iter 522/585 - loss 0.12494097 - samples/sec: 241.94
2020-06-10 17:03:13,813 epoch 128 - iter 580/585 - loss 0.12819859 - samples/sec: 242.33
2020-06-10 17:03:14,524 ----------------------------------------------------------------------------------------------------
2020-06-10 17:03:14,524 EPOCH 128 done: loss 0.1278 - lr 0.0250000
2020-06-10 17:03:14,525 BAD EPOCHS (no improvement): 1
2020-06-10 17:03:14,525 ----------------------------------------------------------------------------------------------------
2020-06-10 17:03:22,063 epoch 129 - iter 58/585 - loss 0.11519719 - samples/sec: 246.33
2020-06-10 17:03:29,717 epoch 129 - iter 116/585 - loss 0.13120189 - samples/sec: 245.66
2020-06-10 17:03:37,483 epoch 129 - iter 174/585 - loss 0.12704224 - samples/sec: 242.00
2020-06-10 17:03:45,075 epoch 129 - iter 232/585 - loss 0.12356088 - samples/sec: 247.66
2020-06-10 17:03:52,577 epoch 129 - iter 290/585 - loss 0.12487766 - samples/sec: 250.71
2020-06-10 17:04:03,261 epoch 129 - iter 348/585 - loss 0.12416265 - samples/sec: 175.31
2020-06-10 17:04:11,372 epoch 129 - iter 406/585 - loss 0.12648200 - samples/sec: 231.64
2020-06-10 17:04:18,905 epoch 129 - iter 464/585 - loss 0.12778198 - samples/sec: 249.63
2020-06-10 17:04:27,737 epoch 129 - iter 522/585 - loss 0.12664967 - samples/sec: 212.47
2020-06-10 17:04:36,686 epoch 129 - iter 580/585 - loss 0.12864212 - samples/sec: 209.67
2020-06-10 17:04:37,377 ----------------------------------------------------------------------------------------------------
2020-06-10 17:04:37,377 EPOCH 129 done: loss 0.1285 - lr 0.0250000
2020-06-10 17:04:37,377 BAD EPOCHS (no improvement): 2
2020-06-10 17:04:37,377 ----------------------------------------------------------------------------------------------------
2020-06-10 17:04:44,862 epoch 130 - iter 58/585 - loss 0.12644887 - samples/sec: 248.13
2020-06-10 17:04:54,235 epoch 130 - iter 116/585 - loss 0.13124666 - samples/sec: 200.08
2020-06-10 17:05:02,455 epoch 130 - iter 174/585 - loss 0.13065010 - samples/sec: 228.48
2020-06-10 17:05:11,187 epoch 130 - iter 232/585 - loss 0.12468263 - samples/sec: 214.94
2020-06-10 17:05:20,226 epoch 130 - iter 290/585 - loss 0.12403268 - samples/sec: 207.56
2020-06-10 17:05:27,956 epoch 130 - iter 348/585 - loss 0.12054822 - samples/sec: 243.15
2020-06-10 17:05:35,638 epoch 130 - iter 406/585 - loss 0.11985441 - samples/sec: 244.68
2020-06-10 17:05:43,720 epoch 130 - iter 464/585 - loss 0.12016548 - samples/sec: 232.41
2020-06-10 17:05:51,484 epoch 130 - iter 522/585 - loss 0.12259687 - samples/sec: 242.08
2020-06-10 17:05:59,427 epoch 130 - iter 580/585 - loss 0.12443148 - samples/sec: 236.53
2020-06-10 17:06:00,092 ----------------------------------------------------------------------------------------------------
2020-06-10 17:06:00,092 EPOCH 130 done: loss 0.1244 - lr 0.0250000
2020-06-10 17:06:00,092 BAD EPOCHS (no improvement): 3
2020-06-10 17:06:00,093 ----------------------------------------------------------------------------------------------------
2020-06-10 17:06:07,789 epoch 131 - iter 58/585 - loss 0.11402278 - samples/sec: 241.29
2020-06-10 17:06:15,534 epoch 131 - iter 116/585 - loss 0.11878166 - samples/sec: 242.69
2020-06-10 17:06:23,209 epoch 131 - iter 174/585 - loss 0.12758663 - samples/sec: 244.87
2020-06-10 17:06:30,934 epoch 131 - iter 232/585 - loss 0.12569660 - samples/sec: 243.31
2020-06-10 17:06:38,493 epoch 131 - iter 290/585 - loss 0.12828583 - samples/sec: 248.72
2020-06-10 17:06:46,852 epoch 131 - iter 348/585 - loss 0.12287777 - samples/sec: 224.71
2020-06-10 17:06:54,927 epoch 131 - iter 406/585 - loss 0.12179733 - samples/sec: 232.65
2020-06-10 17:07:04,212 epoch 131 - iter 464/585 - loss 0.12296840 - samples/sec: 202.03
2020-06-10 17:07:14,584 epoch 131 - iter 522/585 - loss 0.12215332 - samples/sec: 180.63
2020-06-10 17:07:21,952 epoch 131 - iter 580/585 - loss 0.12161419 - samples/sec: 255.23
2020-06-10 17:07:22,671 ----------------------------------------------------------------------------------------------------
2020-06-10 17:07:22,672 EPOCH 131 done: loss 0.1219 - lr 0.0250000
2020-06-10 17:07:22,672 BAD EPOCHS (no improvement): 4
2020-06-10 17:07:22,672 ----------------------------------------------------------------------------------------------------
2020-06-10 17:07:30,021 epoch 132 - iter 58/585 - loss 0.11980197 - samples/sec: 252.68
2020-06-10 17:07:37,905 epoch 132 - iter 116/585 - loss 0.12913657 - samples/sec: 238.35
2020-06-10 17:07:46,964 epoch 132 - iter 174/585 - loss 0.12680127 - samples/sec: 207.06
2020-06-10 17:07:54,543 epoch 132 - iter 232/585 - loss 0.12473427 - samples/sec: 248.06
2020-06-10 17:08:02,171 epoch 132 - iter 290/585 - loss 0.12435988 - samples/sec: 246.44
2020-06-10 17:08:09,782 epoch 132 - iter 348/585 - loss 0.12292840 - samples/sec: 247.03
2020-06-10 17:08:20,419 epoch 132 - iter 406/585 - loss 0.12438231 - samples/sec: 176.10
2020-06-10 17:08:28,987 epoch 132 - iter 464/585 - loss 0.12297355 - samples/sec: 219.05
2020-06-10 17:08:36,231 epoch 132 - iter 522/585 - loss 0.12235176 - samples/sec: 259.75
2020-06-10 17:08:44,230 epoch 132 - iter 580/585 - loss 0.12087887 - samples/sec: 234.85
2020-06-10 17:08:45,012 ----------------------------------------------------------------------------------------------------
2020-06-10 17:08:45,012 EPOCH 132 done: loss 0.1207 - lr 0.0125000
2020-06-10 17:08:45,012 BAD EPOCHS (no improvement): 0
2020-06-10 17:08:45,012 ----------------------------------------------------------------------------------------------------
2020-06-10 17:08:52,650 epoch 133 - iter 58/585 - loss 0.13914346 - samples/sec: 243.13
2020-06-10 17:09:02,798 epoch 133 - iter 116/585 - loss 0.13049400 - samples/sec: 184.65
2020-06-10 17:09:12,413 epoch 133 - iter 174/585 - loss 0.12211654 - samples/sec: 195.02
2020-06-10 17:09:20,134 epoch 133 - iter 232/585 - loss 0.12314823 - samples/sec: 243.42
2020-06-10 17:09:27,724 epoch 133 - iter 290/585 - loss 0.11790694 - samples/sec: 247.76
2020-06-10 17:09:35,184 epoch 133 - iter 348/585 - loss 0.11328005 - samples/sec: 252.05
2020-06-10 17:09:42,867 epoch 133 - iter 406/585 - loss 0.11066980 - samples/sec: 244.64
2020-06-10 17:09:50,662 epoch 133 - iter 464/585 - loss 0.11090088 - samples/sec: 241.11
2020-06-10 17:09:59,173 epoch 133 - iter 522/585 - loss 0.11319991 - samples/sec: 220.59
2020-06-10 17:10:06,691 epoch 133 - iter 580/585 - loss 0.11432368 - samples/sec: 250.07
2020-06-10 17:10:07,391 ----------------------------------------------------------------------------------------------------
2020-06-10 17:10:07,391 EPOCH 133 done: loss 0.1145 - lr 0.0125000
2020-06-10 17:10:07,391 BAD EPOCHS (no improvement): 0
2020-06-10 17:10:07,391 ----------------------------------------------------------------------------------------------------
2020-06-10 17:10:16,207 epoch 134 - iter 58/585 - loss 0.13139629 - samples/sec: 210.63
2020-06-10 17:10:23,633 epoch 134 - iter 116/585 - loss 0.13188651 - samples/sec: 253.27
2020-06-10 17:10:32,912 epoch 134 - iter 174/585 - loss 0.12785796 - samples/sec: 202.11
2020-06-10 17:10:41,492 epoch 134 - iter 232/585 - loss 0.12340812 - samples/sec: 218.79
2020-06-10 17:10:49,347 epoch 134 - iter 290/585 - loss 0.12265406 - samples/sec: 239.27
2020-06-10 17:10:57,051 epoch 134 - iter 348/585 - loss 0.11885175 - samples/sec: 244.05
2020-06-10 17:11:04,589 epoch 134 - iter 406/585 - loss 0.11767555 - samples/sec: 249.39
2020-06-10 17:11:12,052 epoch 134 - iter 464/585 - loss 0.11845883 - samples/sec: 251.95
2020-06-10 17:11:20,054 epoch 134 - iter 522/585 - loss 0.11835782 - samples/sec: 234.78
2020-06-10 17:11:28,952 epoch 134 - iter 580/585 - loss 0.11517838 - samples/sec: 210.88
2020-06-10 17:11:29,614 ----------------------------------------------------------------------------------------------------
2020-06-10 17:11:29,615 EPOCH 134 done: loss 0.1159 - lr 0.0125000
2020-06-10 17:11:29,615 BAD EPOCHS (no improvement): 1
2020-06-10 17:11:29,615 ----------------------------------------------------------------------------------------------------
2020-06-10 17:11:37,120 epoch 135 - iter 58/585 - loss 0.11447048 - samples/sec: 247.42
2020-06-10 17:11:46,103 epoch 135 - iter 116/585 - loss 0.10982577 - samples/sec: 208.88
2020-06-10 17:11:53,927 epoch 135 - iter 174/585 - loss 0.11361135 - samples/sec: 240.20
2020-06-10 17:12:03,441 epoch 135 - iter 232/585 - loss 0.10807589 - samples/sec: 197.10
2020-06-10 17:12:11,253 epoch 135 - iter 290/585 - loss 0.11103777 - samples/sec: 240.61
2020-06-10 17:12:18,893 epoch 135 - iter 348/585 - loss 0.11320803 - samples/sec: 246.06
2020-06-10 17:12:28,000 epoch 135 - iter 406/585 - loss 0.11497505 - samples/sec: 205.96
2020-06-10 17:12:36,747 epoch 135 - iter 464/585 - loss 0.11814100 - samples/sec: 214.57
2020-06-10 17:12:44,190 epoch 135 - iter 522/585 - loss 0.11791996 - samples/sec: 252.60
2020-06-10 17:12:51,739 epoch 135 - iter 580/585 - loss 0.11753986 - samples/sec: 249.07
2020-06-10 17:12:52,475 ----------------------------------------------------------------------------------------------------
2020-06-10 17:12:52,476 EPOCH 135 done: loss 0.1173 - lr 0.0125000
2020-06-10 17:12:52,476 BAD EPOCHS (no improvement): 2
2020-06-10 17:12:52,476 ----------------------------------------------------------------------------------------------------
2020-06-10 17:13:00,296 epoch 136 - iter 58/585 - loss 0.13389651 - samples/sec: 237.47
2020-06-10 17:13:08,993 epoch 136 - iter 116/585 - loss 0.12219550 - samples/sec: 215.80
2020-06-10 17:13:16,592 epoch 136 - iter 174/585 - loss 0.12497834 - samples/sec: 247.40
2020-06-10 17:13:24,358 epoch 136 - iter 232/585 - loss 0.12311202 - samples/sec: 241.99
2020-06-10 17:13:31,571 epoch 136 - iter 290/585 - loss 0.11648703 - samples/sec: 260.84
2020-06-10 17:13:39,545 epoch 136 - iter 348/585 - loss 0.11409304 - samples/sec: 235.62
2020-06-10 17:13:47,241 epoch 136 - iter 406/585 - loss 0.11129174 - samples/sec: 244.20
2020-06-10 17:13:57,069 epoch 136 - iter 464/585 - loss 0.11124501 - samples/sec: 190.73
2020-06-10 17:14:06,417 epoch 136 - iter 522/585 - loss 0.11148972 - samples/sec: 200.66
2020-06-10 17:14:14,040 epoch 136 - iter 580/585 - loss 0.11107190 - samples/sec: 246.62
2020-06-10 17:14:14,736 ----------------------------------------------------------------------------------------------------
2020-06-10 17:14:14,736 EPOCH 136 done: loss 0.1111 - lr 0.0125000
2020-06-10 17:14:14,736 BAD EPOCHS (no improvement): 0
2020-06-10 17:14:14,736 ----------------------------------------------------------------------------------------------------
2020-06-10 17:14:22,208 epoch 137 - iter 58/585 - loss 0.11030304 - samples/sec: 248.54
2020-06-10 17:14:29,777 epoch 137 - iter 116/585 - loss 0.10834338 - samples/sec: 248.39
2020-06-10 17:14:38,493 epoch 137 - iter 174/585 - loss 0.11318053 - samples/sec: 215.34
2020-06-10 17:14:46,222 epoch 137 - iter 232/585 - loss 0.11070680 - samples/sec: 243.19
2020-06-10 17:14:54,024 epoch 137 - iter 290/585 - loss 0.11029408 - samples/sec: 240.88
2020-06-10 17:15:04,913 epoch 137 - iter 348/585 - loss 0.11012649 - samples/sec: 171.99
2020-06-10 17:15:12,435 epoch 137 - iter 406/585 - loss 0.11046755 - samples/sec: 250.00
2020-06-10 17:15:20,410 epoch 137 - iter 464/585 - loss 0.11203138 - samples/sec: 235.62
2020-06-10 17:15:27,801 epoch 137 - iter 522/585 - loss 0.11278802 - samples/sec: 254.44
2020-06-10 17:15:36,518 epoch 137 - iter 580/585 - loss 0.11638448 - samples/sec: 215.31
2020-06-10 17:15:37,190 ----------------------------------------------------------------------------------------------------
2020-06-10 17:15:37,190 EPOCH 137 done: loss 0.1163 - lr 0.0125000
2020-06-10 17:15:37,190 BAD EPOCHS (no improvement): 1
2020-06-10 17:15:37,190 ----------------------------------------------------------------------------------------------------
2020-06-10 17:15:44,680 epoch 138 - iter 58/585 - loss 0.12171353 - samples/sec: 247.93
2020-06-10 17:15:52,075 epoch 138 - iter 116/585 - loss 0.12196149 - samples/sec: 254.33
2020-06-10 17:15:59,854 epoch 138 - iter 174/585 - loss 0.11632623 - samples/sec: 241.58
2020-06-10 17:16:09,065 epoch 138 - iter 232/585 - loss 0.12080720 - samples/sec: 203.61
2020-06-10 17:16:16,872 epoch 138 - iter 290/585 - loss 0.11917746 - samples/sec: 240.80
2020-06-10 17:16:26,036 epoch 138 - iter 348/585 - loss 0.11965130 - samples/sec: 204.70
2020-06-10 17:16:33,633 epoch 138 - iter 406/585 - loss 0.12143019 - samples/sec: 247.41
2020-06-10 17:16:41,529 epoch 138 - iter 464/585 - loss 0.12059551 - samples/sec: 237.98
2020-06-10 17:16:50,788 epoch 138 - iter 522/585 - loss 0.11903524 - samples/sec: 202.58
2020-06-10 17:16:59,431 epoch 138 - iter 580/585 - loss 0.11988513 - samples/sec: 217.15
2020-06-10 17:17:00,096 ----------------------------------------------------------------------------------------------------
2020-06-10 17:17:00,096 EPOCH 138 done: loss 0.1197 - lr 0.0125000
2020-06-10 17:17:00,096 BAD EPOCHS (no improvement): 2
2020-06-10 17:17:00,097 ----------------------------------------------------------------------------------------------------
2020-06-10 17:17:08,010 epoch 139 - iter 58/585 - loss 0.10473501 - samples/sec: 234.68
2020-06-10 17:17:16,999 epoch 139 - iter 116/585 - loss 0.10247132 - samples/sec: 208.77
2020-06-10 17:17:24,647 epoch 139 - iter 174/585 - loss 0.10437391 - samples/sec: 245.78
2020-06-10 17:17:34,264 epoch 139 - iter 232/585 - loss 0.10285836 - samples/sec: 194.99
2020-06-10 17:17:42,474 epoch 139 - iter 290/585 - loss 0.10455134 - samples/sec: 228.78
2020-06-10 17:17:49,946 epoch 139 - iter 348/585 - loss 0.10568063 - samples/sec: 251.63
2020-06-10 17:17:59,088 epoch 139 - iter 406/585 - loss 0.10844577 - samples/sec: 205.19
2020-06-10 17:18:07,094 epoch 139 - iter 464/585 - loss 0.10763443 - samples/sec: 234.71
2020-06-10 17:18:14,842 epoch 139 - iter 522/585 - loss 0.10908084 - samples/sec: 242.56
2020-06-10 17:18:22,434 epoch 139 - iter 580/585 - loss 0.11132262 - samples/sec: 247.65
2020-06-10 17:18:23,141 ----------------------------------------------------------------------------------------------------
2020-06-10 17:18:23,141 EPOCH 139 done: loss 0.1110 - lr 0.0125000
2020-06-10 17:18:23,141 BAD EPOCHS (no improvement): 0
2020-06-10 17:18:23,142 ----------------------------------------------------------------------------------------------------
2020-06-10 17:18:30,891 epoch 140 - iter 58/585 - loss 0.09573227 - samples/sec: 239.62
2020-06-10 17:18:38,145 epoch 140 - iter 116/585 - loss 0.11157025 - samples/sec: 259.30
2020-06-10 17:18:47,438 epoch 140 - iter 174/585 - loss 0.11148452 - samples/sec: 201.84
2020-06-10 17:18:58,076 epoch 140 - iter 232/585 - loss 0.11450801 - samples/sec: 176.10
2020-06-10 17:19:05,756 epoch 140 - iter 290/585 - loss 0.11669768 - samples/sec: 244.72
2020-06-10 17:19:13,235 epoch 140 - iter 348/585 - loss 0.11811941 - samples/sec: 251.40
2020-06-10 17:19:21,512 epoch 140 - iter 406/585 - loss 0.11493423 - samples/sec: 226.91
2020-06-10 17:19:29,387 epoch 140 - iter 464/585 - loss 0.11578558 - samples/sec: 238.62
2020-06-10 17:19:37,006 epoch 140 - iter 522/585 - loss 0.11437020 - samples/sec: 246.76
2020-06-10 17:19:44,796 epoch 140 - iter 580/585 - loss 0.11438441 - samples/sec: 241.25
2020-06-10 17:19:45,775 ----------------------------------------------------------------------------------------------------
2020-06-10 17:19:45,776 EPOCH 140 done: loss 0.1145 - lr 0.0125000
2020-06-10 17:19:45,776 BAD EPOCHS (no improvement): 1
2020-06-10 17:19:45,776 ----------------------------------------------------------------------------------------------------
2020-06-10 17:19:53,472 epoch 141 - iter 58/585 - loss 0.12140486 - samples/sec: 241.29
2020-06-10 17:20:00,916 epoch 141 - iter 116/585 - loss 0.12376376 - samples/sec: 252.56
2020-06-10 17:20:08,864 epoch 141 - iter 174/585 - loss 0.11693707 - samples/sec: 236.43
2020-06-10 17:20:16,433 epoch 141 - iter 232/585 - loss 0.11539347 - samples/sec: 248.39
2020-06-10 17:20:25,328 epoch 141 - iter 290/585 - loss 0.11701285 - samples/sec: 210.94
2020-06-10 17:20:32,878 epoch 141 - iter 348/585 - loss 0.11553108 - samples/sec: 249.00
2020-06-10 17:20:41,968 epoch 141 - iter 406/585 - loss 0.11669766 - samples/sec: 206.39
2020-06-10 17:20:49,830 epoch 141 - iter 464/585 - loss 0.11487591 - samples/sec: 238.99
2020-06-10 17:20:59,013 epoch 141 - iter 522/585 - loss 0.11367696 - samples/sec: 204.26
2020-06-10 17:21:07,861 epoch 141 - iter 580/585 - loss 0.11403417 - samples/sec: 212.09
2020-06-10 17:21:08,547 ----------------------------------------------------------------------------------------------------
2020-06-10 17:21:08,547 EPOCH 141 done: loss 0.1141 - lr 0.0125000
2020-06-10 17:21:08,547 BAD EPOCHS (no improvement): 2
2020-06-10 17:21:08,547 ----------------------------------------------------------------------------------------------------
2020-06-10 17:21:15,988 epoch 142 - iter 58/585 - loss 0.09752853 - samples/sec: 249.57
2020-06-10 17:21:25,174 epoch 142 - iter 116/585 - loss 0.10490408 - samples/sec: 204.19
2020-06-10 17:21:32,637 epoch 142 - iter 174/585 - loss 0.10749536 - samples/sec: 251.99
2020-06-10 17:21:42,086 epoch 142 - iter 232/585 - loss 0.11192310 - samples/sec: 198.44
2020-06-10 17:21:49,696 epoch 142 - iter 290/585 - loss 0.11645474 - samples/sec: 247.01
2020-06-10 17:21:57,286 epoch 142 - iter 348/585 - loss 0.11285121 - samples/sec: 247.69
2020-06-10 17:22:05,143 epoch 142 - iter 406/585 - loss 0.11373902 - samples/sec: 239.20
2020-06-10 17:22:13,466 epoch 142 - iter 464/585 - loss 0.11376705 - samples/sec: 225.67
2020-06-10 17:22:21,440 epoch 142 - iter 522/585 - loss 0.11348416 - samples/sec: 235.76
2020-06-10 17:22:30,510 epoch 142 - iter 580/585 - loss 0.11432283 - samples/sec: 206.88
2020-06-10 17:22:31,121 ----------------------------------------------------------------------------------------------------
2020-06-10 17:22:31,122 EPOCH 142 done: loss 0.1144 - lr 0.0125000
2020-06-10 17:22:31,122 BAD EPOCHS (no improvement): 3
2020-06-10 17:22:31,122 ----------------------------------------------------------------------------------------------------
2020-06-10 17:22:39,010 epoch 143 - iter 58/585 - loss 0.10721694 - samples/sec: 235.41
2020-06-10 17:22:49,680 epoch 143 - iter 116/585 - loss 0.11255595 - samples/sec: 175.54
2020-06-10 17:22:57,438 epoch 143 - iter 174/585 - loss 0.10773577 - samples/sec: 242.35
2020-06-10 17:23:06,317 epoch 143 - iter 232/585 - loss 0.10176170 - samples/sec: 211.35
2020-06-10 17:23:14,308 epoch 143 - iter 290/585 - loss 0.10536746 - samples/sec: 235.06
2020-06-10 17:23:21,884 epoch 143 - iter 348/585 - loss 0.10583259 - samples/sec: 248.18
2020-06-10 17:23:29,584 epoch 143 - iter 406/585 - loss 0.10684827 - samples/sec: 244.15
2020-06-10 17:23:37,070 epoch 143 - iter 464/585 - loss 0.10578289 - samples/sec: 251.12
2020-06-10 17:23:44,558 epoch 143 - iter 522/585 - loss 0.10608612 - samples/sec: 251.08
2020-06-10 17:23:53,278 epoch 143 - iter 580/585 - loss 0.10493853 - samples/sec: 215.22
2020-06-10 17:23:54,021 ----------------------------------------------------------------------------------------------------
2020-06-10 17:23:54,021 EPOCH 143 done: loss 0.1056 - lr 0.0125000
2020-06-10 17:23:54,021 BAD EPOCHS (no improvement): 0
2020-06-10 17:23:54,021 ----------------------------------------------------------------------------------------------------
2020-06-10 17:24:01,410 epoch 144 - iter 58/585 - loss 0.10008967 - samples/sec: 251.33
2020-06-10 17:24:09,254 epoch 144 - iter 116/585 - loss 0.09645493 - samples/sec: 239.58
2020-06-10 17:24:17,943 epoch 144 - iter 174/585 - loss 0.09662353 - samples/sec: 216.01
2020-06-10 17:24:27,367 epoch 144 - iter 232/585 - loss 0.10253828 - samples/sec: 198.99
2020-06-10 17:24:36,242 epoch 144 - iter 290/585 - loss 0.10276405 - samples/sec: 211.41
2020-06-10 17:24:44,222 epoch 144 - iter 348/585 - loss 0.10234807 - samples/sec: 235.49
2020-06-10 17:24:51,713 epoch 144 - iter 406/585 - loss 0.10064331 - samples/sec: 251.06
2020-06-10 17:25:00,479 epoch 144 - iter 464/585 - loss 0.10239265 - samples/sec: 214.06
2020-06-10 17:25:07,995 epoch 144 - iter 522/585 - loss 0.10288680 - samples/sec: 250.20
2020-06-10 17:25:16,045 epoch 144 - iter 580/585 - loss 0.10389711 - samples/sec: 233.35
2020-06-10 17:25:16,702 ----------------------------------------------------------------------------------------------------
2020-06-10 17:25:16,703 EPOCH 144 done: loss 0.1037 - lr 0.0125000
2020-06-10 17:25:16,703 BAD EPOCHS (no improvement): 0
2020-06-10 17:25:16,703 ----------------------------------------------------------------------------------------------------
2020-06-10 17:25:25,632 epoch 145 - iter 58/585 - loss 0.10030549 - samples/sec: 207.96
2020-06-10 17:25:33,469 epoch 145 - iter 116/585 - loss 0.10117074 - samples/sec: 239.79
2020-06-10 17:25:41,181 epoch 145 - iter 174/585 - loss 0.09704985 - samples/sec: 243.68
2020-06-10 17:25:48,830 epoch 145 - iter 232/585 - loss 0.09855029 - samples/sec: 245.73
2020-06-10 17:25:58,963 epoch 145 - iter 290/585 - loss 0.09943691 - samples/sec: 184.94
2020-06-10 17:26:07,040 epoch 145 - iter 348/585 - loss 0.10228955 - samples/sec: 232.59
2020-06-10 17:26:15,205 epoch 145 - iter 406/585 - loss 0.10074181 - samples/sec: 230.02
2020-06-10 17:26:23,053 epoch 145 - iter 464/585 - loss 0.10157578 - samples/sec: 239.43
2020-06-10 17:26:30,921 epoch 145 - iter 522/585 - loss 0.10305065 - samples/sec: 238.83
2020-06-10 17:26:38,960 epoch 145 - iter 580/585 - loss 0.10525314 - samples/sec: 233.70
2020-06-10 17:26:39,604 ----------------------------------------------------------------------------------------------------
2020-06-10 17:26:39,604 EPOCH 145 done: loss 0.1059 - lr 0.0125000
2020-06-10 17:26:39,604 BAD EPOCHS (no improvement): 1
2020-06-10 17:26:39,604 ----------------------------------------------------------------------------------------------------
2020-06-10 17:26:47,214 epoch 146 - iter 58/585 - loss 0.09179990 - samples/sec: 244.04
2020-06-10 17:26:54,907 epoch 146 - iter 116/585 - loss 0.09714102 - samples/sec: 244.36
2020-06-10 17:27:03,901 epoch 146 - iter 174/585 - loss 0.09452495 - samples/sec: 208.59
2020-06-10 17:27:11,474 epoch 146 - iter 232/585 - loss 0.09936908 - samples/sec: 248.26
2020-06-10 17:27:20,582 epoch 146 - iter 290/585 - loss 0.10342030 - samples/sec: 205.96
2020-06-10 17:27:28,303 epoch 146 - iter 348/585 - loss 0.10285245 - samples/sec: 243.39
2020-06-10 17:27:37,188 epoch 146 - iter 406/585 - loss 0.10464501 - samples/sec: 211.21
2020-06-10 17:27:45,019 epoch 146 - iter 464/585 - loss 0.10737625 - samples/sec: 240.02
2020-06-10 17:27:52,970 epoch 146 - iter 522/585 - loss 0.10923656 - samples/sec: 236.33
2020-06-10 17:28:01,695 epoch 146 - iter 580/585 - loss 0.10928825 - samples/sec: 215.12
2020-06-10 17:28:02,414 ----------------------------------------------------------------------------------------------------
2020-06-10 17:28:02,414 EPOCH 146 done: loss 0.1089 - lr 0.0125000
2020-06-10 17:28:02,414 BAD EPOCHS (no improvement): 2
2020-06-10 17:28:02,415 ----------------------------------------------------------------------------------------------------
2020-06-10 17:28:10,162 epoch 147 - iter 58/585 - loss 0.10321681 - samples/sec: 239.69
2020-06-10 17:28:20,877 epoch 147 - iter 116/585 - loss 0.10853805 - samples/sec: 174.80
2020-06-10 17:28:29,954 epoch 147 - iter 174/585 - loss 0.10737807 - samples/sec: 206.67
2020-06-10 17:28:38,371 epoch 147 - iter 232/585 - loss 0.11061817 - samples/sec: 223.04
2020-06-10 17:28:45,808 epoch 147 - iter 290/585 - loss 0.11096176 - samples/sec: 252.91
2020-06-10 17:28:53,466 epoch 147 - iter 348/585 - loss 0.11314962 - samples/sec: 245.41
2020-06-10 17:29:01,006 epoch 147 - iter 406/585 - loss 0.11143042 - samples/sec: 249.34
2020-06-10 17:29:08,645 epoch 147 - iter 464/585 - loss 0.11210226 - samples/sec: 246.07
2020-06-10 17:29:16,436 epoch 147 - iter 522/585 - loss 0.11137836 - samples/sec: 241.21
2020-06-10 17:29:24,147 epoch 147 - iter 580/585 - loss 0.11116567 - samples/sec: 243.71
2020-06-10 17:29:24,816 ----------------------------------------------------------------------------------------------------
2020-06-10 17:29:24,816 EPOCH 147 done: loss 0.1106 - lr 0.0125000
2020-06-10 17:29:24,816 BAD EPOCHS (no improvement): 3
2020-06-10 17:29:24,816 ----------------------------------------------------------------------------------------------------
2020-06-10 17:29:32,702 epoch 148 - iter 58/585 - loss 0.10867762 - samples/sec: 235.48
2020-06-10 17:29:40,808 epoch 148 - iter 116/585 - loss 0.10701268 - samples/sec: 231.74
2020-06-10 17:29:48,220 epoch 148 - iter 174/585 - loss 0.10395990 - samples/sec: 253.71
2020-06-10 17:29:57,649 epoch 148 - iter 232/585 - loss 0.10907519 - samples/sec: 198.93
2020-06-10 17:30:06,004 epoch 148 - iter 290/585 - loss 0.10576444 - samples/sec: 224.74
2020-06-10 17:30:13,324 epoch 148 - iter 348/585 - loss 0.10617163 - samples/sec: 256.93
2020-06-10 17:30:21,032 epoch 148 - iter 406/585 - loss 0.10419556 - samples/sec: 243.83
2020-06-10 17:30:31,497 epoch 148 - iter 464/585 - loss 0.10520625 - samples/sec: 179.01
2020-06-10 17:30:39,463 epoch 148 - iter 522/585 - loss 0.10484913 - samples/sec: 235.85
2020-06-10 17:30:47,127 epoch 148 - iter 580/585 - loss 0.10617885 - samples/sec: 245.27
2020-06-10 17:30:47,810 ----------------------------------------------------------------------------------------------------
2020-06-10 17:30:47,810 EPOCH 148 done: loss 0.1059 - lr 0.0125000
2020-06-10 17:30:47,811 BAD EPOCHS (no improvement): 4
2020-06-10 17:30:47,811 ----------------------------------------------------------------------------------------------------
2020-06-10 17:30:55,412 epoch 149 - iter 58/585 - loss 0.11879580 - samples/sec: 244.29
2020-06-10 17:31:03,220 epoch 149 - iter 116/585 - loss 0.11689855 - samples/sec: 240.68
2020-06-10 17:31:10,740 epoch 149 - iter 174/585 - loss 0.11375501 - samples/sec: 250.15
2020-06-10 17:31:18,408 epoch 149 - iter 232/585 - loss 0.11075376 - samples/sec: 245.13
2020-06-10 17:31:27,342 epoch 149 - iter 290/585 - loss 0.11046723 - samples/sec: 209.99
2020-06-10 17:31:36,230 epoch 149 - iter 348/585 - loss 0.11354265 - samples/sec: 211.15
2020-06-10 17:31:44,262 epoch 149 - iter 406/585 - loss 0.11148929 - samples/sec: 233.97
2020-06-10 17:31:52,140 epoch 149 - iter 464/585 - loss 0.11257000 - samples/sec: 238.62
2020-06-10 17:32:00,508 epoch 149 - iter 522/585 - loss 0.11397038 - samples/sec: 224.41
2020-06-10 17:32:10,055 epoch 149 - iter 580/585 - loss 0.11225022 - samples/sec: 196.48
2020-06-10 17:32:10,735 ----------------------------------------------------------------------------------------------------
2020-06-10 17:32:10,735 EPOCH 149 done: loss 0.1120 - lr 0.0062500
2020-06-10 17:32:10,735 BAD EPOCHS (no improvement): 1
2020-06-10 17:32:10,735 ----------------------------------------------------------------------------------------------------
2020-06-10 17:32:19,367 epoch 150 - iter 58/585 - loss 0.10383879 - samples/sec: 215.11
2020-06-10 17:32:27,050 epoch 150 - iter 116/585 - loss 0.09689175 - samples/sec: 245.89
2020-06-10 17:32:34,941 epoch 150 - iter 174/585 - loss 0.09391152 - samples/sec: 238.12
2020-06-10 17:32:43,999 epoch 150 - iter 232/585 - loss 0.09633388 - samples/sec: 207.16
2020-06-10 17:32:51,634 epoch 150 - iter 290/585 - loss 0.09965188 - samples/sec: 246.26
2020-06-10 17:32:59,254 epoch 150 - iter 348/585 - loss 0.09987036 - samples/sec: 246.64
2020-06-10 17:33:08,130 epoch 150 - iter 406/585 - loss 0.09971136 - samples/sec: 211.48
2020-06-10 17:33:17,517 epoch 150 - iter 464/585 - loss 0.10146475 - samples/sec: 199.76
2020-06-10 17:33:25,170 epoch 150 - iter 522/585 - loss 0.10232141 - samples/sec: 245.63
2020-06-10 17:33:33,252 epoch 150 - iter 580/585 - loss 0.10261465 - samples/sec: 232.44
2020-06-10 17:33:33,974 ----------------------------------------------------------------------------------------------------
2020-06-10 17:33:33,974 EPOCH 150 done: loss 0.1027 - lr 0.0062500
2020-06-10 17:33:33,975 BAD EPOCHS (no improvement): 0
2020-06-10 17:33:34,581 ----------------------------------------------------------------------------------------------------
2020-06-10 17:33:34,581 Testing using best model ...
2020-06-10 17:34:36,326 0.9288	0.9229	0.9258
2020-06-10 17:34:36,326 
Results:
- F1-score (micro) 0.9258
- F1-score (macro) 0.9271

By class:
LOC        tp: 730 - fp: 32 - fn: 44 - precision: 0.9580 - recall: 0.9432 - f1-score: 0.9505
MISC       tp: 1032 - fp: 92 - fn: 155 - precision: 0.9181 - recall: 0.8694 - f1-score: 0.8931
ORG        tp: 813 - fp: 102 - fn: 69 - precision: 0.8885 - recall: 0.9218 - f1-score: 0.9048
PER        tp: 1062 - fp: 53 - fn: 36 - precision: 0.9525 - recall: 0.9672 - f1-score: 0.9598
2020-06-10 17:34:36,326 ----------------------------------------------------------------------------------------------------