training.log

2020-09-11 07:40:36,037 ----------------------------------------------------------------------------------------------------
2020-09-11 07:40:36,038 Model: "SequenceTagger(
  (embeddings): StackedEmbeddings(
    (list_embedding_0): WordEmbeddings('de')
    (list_embedding_1): FlairEmbeddings(
      (lm): LanguageModel(
        (drop): Dropout(p=0.25, inplace=False)
        (encoder): Embedding(275, 100)
        (rnn): LSTM(100, 2048)
        (decoder): Linear(in_features=2048, out_features=275, bias=True)
      )
    )
    (list_embedding_2): FlairEmbeddings(
      (lm): LanguageModel(
        (drop): Dropout(p=0.25, inplace=False)
        (encoder): Embedding(275, 100)
        (rnn): LSTM(100, 2048)
        (decoder): Linear(in_features=2048, out_features=275, bias=True)
      )
    )
  )
  (word_dropout): WordDropout(p=0.05)
  (locked_dropout): LockedDropout(p=0.5)
  (embedding2nn): Linear(in_features=4396, out_features=4396, bias=True)
  (rnn): LSTM(4396, 256, batch_first=True, bidirectional=True)
  (linear): Linear(in_features=512, out_features=78, bias=True)
  (beta): 1.0
  (weights): None
  (weight_tensor) None
)"
2020-09-11 07:40:36,038 ----------------------------------------------------------------------------------------------------
2020-09-11 07:40:36,038 Corpus: "Corpus: 51986 train + 5770 dev + 6419 test sentences"
2020-09-11 07:40:36,038 ----------------------------------------------------------------------------------------------------
2020-09-11 07:40:36,038 Parameters:
2020-09-11 07:40:36,038  - learning_rate: "0.1"
2020-09-11 07:40:36,038  - mini_batch_size: "32"
2020-09-11 07:40:36,038  - patience: "3"
2020-09-11 07:40:36,038  - anneal_factor: "0.5"
2020-09-11 07:40:36,038  - max_epochs: "150"
2020-09-11 07:40:36,038  - shuffle: "True"
2020-09-11 07:40:36,038  - train_with_dev: "True"
2020-09-11 07:40:36,038  - batch_growth_annealing: "False"
2020-09-11 07:40:36,038 ----------------------------------------------------------------------------------------------------
2020-09-11 07:40:36,038 Model training base path: "resources/taggers/legal-ner"
2020-09-11 07:40:36,038 ----------------------------------------------------------------------------------------------------
2020-09-11 07:40:36,038 Device: cuda:0
2020-09-11 07:40:36,038 ----------------------------------------------------------------------------------------------------
2020-09-11 07:40:36,038 Embeddings storage mode: cpu
2020-09-11 07:40:36,042 ----------------------------------------------------------------------------------------------------
2020-09-11 07:42:10,892 epoch 1 - iter 180/1805 - loss 13.80402097 - samples/sec: 60.75 - lr: 0.100000
2020-09-11 07:43:46,710 epoch 1 - iter 360/1805 - loss 10.27129066 - samples/sec: 60.14 - lr: 0.100000
2020-09-11 07:45:28,099 epoch 1 - iter 540/1805 - loss 8.53650223 - samples/sec: 56.83 - lr: 0.100000
2020-09-11 07:47:02,566 epoch 1 - iter 720/1805 - loss 7.46493234 - samples/sec: 61.00 - lr: 0.100000
2020-09-11 07:48:36,770 epoch 1 - iter 900/1805 - loss 6.67135013 - samples/sec: 61.16 - lr: 0.100000
2020-09-11 07:50:10,723 epoch 1 - iter 1080/1805 - loss 6.07681235 - samples/sec: 61.33 - lr: 0.100000
2020-09-11 07:51:51,829 epoch 1 - iter 1260/1805 - loss 5.58949287 - samples/sec: 56.99 - lr: 0.100000
2020-09-11 07:53:25,569 epoch 1 - iter 1440/1805 - loss 5.17579757 - samples/sec: 61.47 - lr: 0.100000
2020-09-11 07:55:00,098 epoch 1 - iter 1620/1805 - loss 4.84291735 - samples/sec: 60.95 - lr: 0.100000
2020-09-11 07:56:31,968 epoch 1 - iter 1800/1805 - loss 4.56184329 - samples/sec: 62.72 - lr: 0.100000
2020-09-11 07:56:34,557 ----------------------------------------------------------------------------------------------------
2020-09-11 07:56:34,557 EPOCH 1 done: loss 4.5526 - lr 0.1000000
2020-09-11 07:56:34,557 BAD EPOCHS (no improvement): 0
2020-09-11 07:56:34,563 ----------------------------------------------------------------------------------------------------
2020-09-11 07:57:32,527 epoch 2 - iter 180/1805 - loss 1.83645120 - samples/sec: 99.42 - lr: 0.100000
2020-09-11 07:58:31,892 epoch 2 - iter 360/1805 - loss 1.81463750 - samples/sec: 97.07 - lr: 0.100000
2020-09-11 07:59:30,134 epoch 2 - iter 540/1805 - loss 1.71575339 - samples/sec: 98.94 - lr: 0.100000
2020-09-11 08:00:28,619 epoch 2 - iter 720/1805 - loss 1.66278592 - samples/sec: 98.53 - lr: 0.100000
2020-09-11 08:01:27,950 epoch 2 - iter 900/1805 - loss 1.61247091 - samples/sec: 97.13 - lr: 0.100000
2020-09-11 08:02:27,326 epoch 2 - iter 1080/1805 - loss 1.58761564 - samples/sec: 97.05 - lr: 0.100000
2020-09-11 08:03:25,601 epoch 2 - iter 1260/1805 - loss 1.54939332 - samples/sec: 98.89 - lr: 0.100000
2020-09-11 08:04:24,827 epoch 2 - iter 1440/1805 - loss 1.51264721 - samples/sec: 97.30 - lr: 0.100000
2020-09-11 08:05:23,611 epoch 2 - iter 1620/1805 - loss 1.49112630 - samples/sec: 98.03 - lr: 0.100000
2020-09-11 08:06:22,409 epoch 2 - iter 1800/1805 - loss 1.46093700 - samples/sec: 98.01 - lr: 0.100000
2020-09-11 08:06:23,921 ----------------------------------------------------------------------------------------------------
2020-09-11 08:06:23,922 EPOCH 2 done: loss 1.4598 - lr 0.1000000
2020-09-11 08:06:23,922 BAD EPOCHS (no improvement): 0
2020-09-11 08:06:23,925 ----------------------------------------------------------------------------------------------------
2020-09-11 08:07:22,373 epoch 3 - iter 180/1805 - loss 1.15581222 - samples/sec: 98.60 - lr: 0.100000
2020-09-11 08:08:21,442 epoch 3 - iter 360/1805 - loss 1.11703910 - samples/sec: 97.56 - lr: 0.100000
2020-09-11 08:09:21,102 epoch 3 - iter 540/1805 - loss 1.11051282 - samples/sec: 96.59 - lr: 0.100000
2020-09-11 08:10:20,242 epoch 3 - iter 720/1805 - loss 1.08178337 - samples/sec: 97.44 - lr: 0.100000
2020-09-11 08:11:18,692 epoch 3 - iter 900/1805 - loss 1.05709739 - samples/sec: 98.59 - lr: 0.100000
2020-09-11 08:12:17,603 epoch 3 - iter 1080/1805 - loss 1.03470961 - samples/sec: 97.82 - lr: 0.100000
2020-09-11 08:13:16,549 epoch 3 - iter 1260/1805 - loss 1.01898495 - samples/sec: 97.76 - lr: 0.100000
2020-09-11 08:14:15,201 epoch 3 - iter 1440/1805 - loss 1.01113052 - samples/sec: 98.25 - lr: 0.100000
2020-09-11 08:15:14,032 epoch 3 - iter 1620/1805 - loss 1.00359665 - samples/sec: 97.95 - lr: 0.100000
2020-09-11 08:16:22,699 epoch 3 - iter 1800/1805 - loss 0.99321614 - samples/sec: 83.92 - lr: 0.100000
2020-09-11 08:16:24,450 ----------------------------------------------------------------------------------------------------
2020-09-11 08:16:24,450 EPOCH 3 done: loss 0.9931 - lr 0.1000000
2020-09-11 08:16:24,450 BAD EPOCHS (no improvement): 0
2020-09-11 08:16:24,458 ----------------------------------------------------------------------------------------------------
2020-09-11 08:17:23,880 epoch 4 - iter 180/1805 - loss 0.83936093 - samples/sec: 96.98 - lr: 0.100000
2020-09-11 08:18:23,448 epoch 4 - iter 360/1805 - loss 0.83008090 - samples/sec: 96.74 - lr: 0.100000
2020-09-11 08:19:22,575 epoch 4 - iter 540/1805 - loss 0.81474075 - samples/sec: 97.46 - lr: 0.100000
2020-09-11 08:20:20,898 epoch 4 - iter 720/1805 - loss 0.81338400 - samples/sec: 98.81 - lr: 0.100000
2020-09-11 08:21:18,651 epoch 4 - iter 900/1805 - loss 0.79902860 - samples/sec: 99.78 - lr: 0.100000
2020-09-11 08:22:17,448 epoch 4 - iter 1080/1805 - loss 0.79495564 - samples/sec: 98.01 - lr: 0.100000
2020-09-11 08:23:16,113 epoch 4 - iter 1260/1805 - loss 0.78899778 - samples/sec: 98.23 - lr: 0.100000
2020-09-11 08:24:15,588 epoch 4 - iter 1440/1805 - loss 0.79277683 - samples/sec: 96.89 - lr: 0.100000
2020-09-11 08:25:14,413 epoch 4 - iter 1620/1805 - loss 0.78699688 - samples/sec: 97.96 - lr: 0.100000
2020-09-11 08:26:13,458 epoch 4 - iter 1800/1805 - loss 0.78063844 - samples/sec: 97.60 - lr: 0.100000
2020-09-11 08:26:15,123 ----------------------------------------------------------------------------------------------------
2020-09-11 08:26:15,123 EPOCH 4 done: loss 0.7806 - lr 0.1000000
2020-09-11 08:26:15,123 BAD EPOCHS (no improvement): 0
2020-09-11 08:26:15,126 ----------------------------------------------------------------------------------------------------
2020-09-11 08:27:14,100 epoch 5 - iter 180/1805 - loss 0.69763348 - samples/sec: 97.72 - lr: 0.100000
2020-09-11 08:28:11,486 epoch 5 - iter 360/1805 - loss 0.66044665 - samples/sec: 100.42 - lr: 0.100000
2020-09-11 08:29:10,806 epoch 5 - iter 540/1805 - loss 0.68085355 - samples/sec: 97.15 - lr: 0.100000
2020-09-11 08:30:10,228 epoch 5 - iter 720/1805 - loss 0.67581484 - samples/sec: 96.98 - lr: 0.100000
2020-09-11 08:31:09,902 epoch 5 - iter 900/1805 - loss 0.67368500 - samples/sec: 96.57 - lr: 0.100000
2020-09-11 08:32:17,096 epoch 5 - iter 1080/1805 - loss 0.66787494 - samples/sec: 85.76 - lr: 0.100000
2020-09-11 08:33:19,378 epoch 5 - iter 1260/1805 - loss 0.66165189 - samples/sec: 92.53 - lr: 0.100000
2020-09-11 08:34:21,827 epoch 5 - iter 1440/1805 - loss 0.66188355 - samples/sec: 92.28 - lr: 0.100000
2020-09-11 08:35:23,820 epoch 5 - iter 1620/1805 - loss 0.65646580 - samples/sec: 92.96 - lr: 0.100000
2020-09-11 08:36:26,404 epoch 5 - iter 1800/1805 - loss 0.65386785 - samples/sec: 92.08 - lr: 0.100000
2020-09-11 08:36:28,106 ----------------------------------------------------------------------------------------------------
2020-09-11 08:36:28,107 EPOCH 5 done: loss 0.6537 - lr 0.1000000
2020-09-11 08:36:28,107 BAD EPOCHS (no improvement): 0
2020-09-11 08:36:28,113 ----------------------------------------------------------------------------------------------------
2020-09-11 08:37:28,269 epoch 6 - iter 180/1805 - loss 0.61122962 - samples/sec: 95.80 - lr: 0.100000
2020-09-11 08:38:27,221 epoch 6 - iter 360/1805 - loss 0.56353701 - samples/sec: 97.75 - lr: 0.100000
2020-09-11 08:39:26,571 epoch 6 - iter 540/1805 - loss 0.58103489 - samples/sec: 97.10 - lr: 0.100000
2020-09-11 08:40:25,258 epoch 6 - iter 720/1805 - loss 0.57428975 - samples/sec: 98.19 - lr: 0.100000
2020-09-11 08:41:24,143 epoch 6 - iter 900/1805 - loss 0.57668226 - samples/sec: 97.86 - lr: 0.100000
2020-09-11 08:42:23,339 epoch 6 - iter 1080/1805 - loss 0.57332367 - samples/sec: 97.35 - lr: 0.100000
2020-09-11 08:43:22,357 epoch 6 - iter 1260/1805 - loss 0.57007755 - samples/sec: 97.64 - lr: 0.100000
2020-09-11 08:44:22,555 epoch 6 - iter 1440/1805 - loss 0.56803838 - samples/sec: 95.73 - lr: 0.100000
2020-09-11 08:45:21,471 epoch 6 - iter 1620/1805 - loss 0.57504957 - samples/sec: 97.81 - lr: 0.100000
2020-09-11 08:46:20,572 epoch 6 - iter 1800/1805 - loss 0.57511045 - samples/sec: 97.50 - lr: 0.100000
2020-09-11 08:46:22,139 ----------------------------------------------------------------------------------------------------
2020-09-11 08:46:22,139 EPOCH 6 done: loss 0.5752 - lr 0.1000000
2020-09-11 08:46:22,139 BAD EPOCHS (no improvement): 0
2020-09-11 08:46:22,183 ----------------------------------------------------------------------------------------------------
2020-09-11 08:47:20,817 epoch 7 - iter 180/1805 - loss 0.49092694 - samples/sec: 98.28 - lr: 0.100000
2020-09-11 08:48:20,307 epoch 7 - iter 360/1805 - loss 0.50414187 - samples/sec: 96.87 - lr: 0.100000
2020-09-11 08:49:19,625 epoch 7 - iter 540/1805 - loss 0.51064861 - samples/sec: 97.15 - lr: 0.100000
2020-09-11 08:50:17,641 epoch 7 - iter 720/1805 - loss 0.51264149 - samples/sec: 99.33 - lr: 0.100000
2020-09-11 08:51:17,610 epoch 7 - iter 900/1805 - loss 0.52111155 - samples/sec: 96.09 - lr: 0.100000
2020-09-11 08:52:16,415 epoch 7 - iter 1080/1805 - loss 0.51522809 - samples/sec: 98.00 - lr: 0.100000
2020-09-11 08:53:15,544 epoch 7 - iter 1260/1805 - loss 0.50646725 - samples/sec: 97.46 - lr: 0.100000
2020-09-11 08:54:14,982 epoch 7 - iter 1440/1805 - loss 0.50793884 - samples/sec: 96.95 - lr: 0.100000
2020-09-11 08:55:14,415 epoch 7 - iter 1620/1805 - loss 0.50858172 - samples/sec: 96.96 - lr: 0.100000
2020-09-11 08:56:14,122 epoch 7 - iter 1800/1805 - loss 0.51235280 - samples/sec: 96.52 - lr: 0.100000
2020-09-11 08:56:15,743 ----------------------------------------------------------------------------------------------------
2020-09-11 08:56:15,744 EPOCH 7 done: loss 0.5121 - lr 0.1000000
2020-09-11 08:56:15,744 BAD EPOCHS (no improvement): 0
2020-09-11 08:56:15,746 ----------------------------------------------------------------------------------------------------
2020-09-11 08:57:15,385 epoch 8 - iter 180/1805 - loss 0.46010156 - samples/sec: 96.63 - lr: 0.100000
2020-09-11 08:58:14,944 epoch 8 - iter 360/1805 - loss 0.45017143 - samples/sec: 96.75 - lr: 0.100000
2020-09-11 08:59:14,236 epoch 8 - iter 540/1805 - loss 0.45865745 - samples/sec: 97.19 - lr: 0.100000
2020-09-11 09:00:12,458 epoch 8 - iter 720/1805 - loss 0.44924313 - samples/sec: 98.98 - lr: 0.100000
2020-09-11 09:01:11,791 epoch 8 - iter 900/1805 - loss 0.45667717 - samples/sec: 97.12 - lr: 0.100000
2020-09-11 09:02:10,517 epoch 8 - iter 1080/1805 - loss 0.45739500 - samples/sec: 98.13 - lr: 0.100000
2020-09-11 09:03:08,859 epoch 8 - iter 1260/1805 - loss 0.45610384 - samples/sec: 98.77 - lr: 0.100000
2020-09-11 09:04:07,927 epoch 8 - iter 1440/1805 - loss 0.45482205 - samples/sec: 97.56 - lr: 0.100000
2020-09-11 09:05:07,669 epoch 8 - iter 1620/1805 - loss 0.45997421 - samples/sec: 96.46 - lr: 0.100000
2020-09-11 09:06:05,841 epoch 8 - iter 1800/1805 - loss 0.45654117 - samples/sec: 99.06 - lr: 0.100000
2020-09-11 09:06:07,313 ----------------------------------------------------------------------------------------------------
2020-09-11 09:06:07,313 EPOCH 8 done: loss 0.4567 - lr 0.1000000
2020-09-11 09:06:07,313 BAD EPOCHS (no improvement): 0
2020-09-11 09:06:07,410 ----------------------------------------------------------------------------------------------------
2020-09-11 09:07:09,251 epoch 9 - iter 180/1805 - loss 0.46855309 - samples/sec: 93.19 - lr: 0.100000
2020-09-11 09:08:11,158 epoch 9 - iter 360/1805 - loss 0.44473548 - samples/sec: 93.08 - lr: 0.100000
2020-09-11 09:09:17,817 epoch 9 - iter 540/1805 - loss 0.43029485 - samples/sec: 86.44 - lr: 0.100000
2020-09-11 09:10:31,895 epoch 9 - iter 720/1805 - loss 0.42631572 - samples/sec: 77.78 - lr: 0.100000
2020-09-11 09:11:39,055 epoch 9 - iter 900/1805 - loss 0.42315354 - samples/sec: 85.80 - lr: 0.100000
2020-09-11 09:12:45,854 epoch 9 - iter 1080/1805 - loss 0.42415819 - samples/sec: 86.26 - lr: 0.100000
2020-09-11 09:13:53,553 epoch 9 - iter 1260/1805 - loss 0.42603225 - samples/sec: 85.11 - lr: 0.100000
2020-09-11 09:15:00,275 epoch 9 - iter 1440/1805 - loss 0.42277134 - samples/sec: 86.36 - lr: 0.100000
2020-09-11 09:16:07,370 epoch 9 - iter 1620/1805 - loss 0.42539465 - samples/sec: 85.88 - lr: 0.100000
2020-09-11 09:17:11,566 epoch 9 - iter 1800/1805 - loss 0.42338922 - samples/sec: 89.76 - lr: 0.100000
2020-09-11 09:17:13,247 ----------------------------------------------------------------------------------------------------
2020-09-11 09:17:13,247 EPOCH 9 done: loss 0.4234 - lr 0.1000000
2020-09-11 09:17:13,247 BAD EPOCHS (no improvement): 0
2020-09-11 09:17:13,253 ----------------------------------------------------------------------------------------------------
2020-09-11 09:18:14,513 epoch 10 - iter 180/1805 - loss 0.35089836 - samples/sec: 94.06 - lr: 0.100000
2020-09-11 09:19:16,883 epoch 10 - iter 360/1805 - loss 0.38446264 - samples/sec: 92.38 - lr: 0.100000
2020-09-11 09:20:19,739 epoch 10 - iter 540/1805 - loss 0.38770054 - samples/sec: 91.67 - lr: 0.100000
2020-09-11 09:21:21,265 epoch 10 - iter 720/1805 - loss 0.39010511 - samples/sec: 93.65 - lr: 0.100000
2020-09-11 09:22:22,709 epoch 10 - iter 900/1805 - loss 0.39083192 - samples/sec: 93.78 - lr: 0.100000
2020-09-11 09:23:25,684 epoch 10 - iter 1080/1805 - loss 0.40026117 - samples/sec: 91.50 - lr: 0.100000
2020-09-11 09:24:28,155 epoch 10 - iter 1260/1805 - loss 0.40496365 - samples/sec: 92.24 - lr: 0.100000
2020-09-11 09:25:30,714 epoch 10 - iter 1440/1805 - loss 0.40515853 - samples/sec: 92.11 - lr: 0.100000
2020-09-11 09:26:33,277 epoch 10 - iter 1620/1805 - loss 0.39943709 - samples/sec: 92.10 - lr: 0.100000
2020-09-11 09:27:35,030 epoch 10 - iter 1800/1805 - loss 0.39691750 - samples/sec: 93.31 - lr: 0.100000
2020-09-11 09:27:36,661 ----------------------------------------------------------------------------------------------------
2020-09-11 09:27:36,661 EPOCH 10 done: loss 0.3968 - lr 0.1000000
2020-09-11 09:27:36,661 BAD EPOCHS (no improvement): 0
2020-09-11 09:27:36,667 ----------------------------------------------------------------------------------------------------
2020-09-11 09:28:40,539 epoch 11 - iter 180/1805 - loss 0.34993886 - samples/sec: 90.22 - lr: 0.100000
2020-09-11 09:29:46,831 epoch 11 - iter 360/1805 - loss 0.34939351 - samples/sec: 86.92 - lr: 0.100000
2020-09-11 09:30:54,979 epoch 11 - iter 540/1805 - loss 0.36116770 - samples/sec: 84.55 - lr: 0.100000
2020-09-11 09:32:01,876 epoch 11 - iter 720/1805 - loss 0.36462776 - samples/sec: 86.13 - lr: 0.100000
2020-09-11 09:33:09,243 epoch 11 - iter 900/1805 - loss 0.35624398 - samples/sec: 85.53 - lr: 0.100000
2020-09-11 09:34:17,171 epoch 11 - iter 1080/1805 - loss 0.35308744 - samples/sec: 84.83 - lr: 0.100000
2020-09-11 09:35:24,425 epoch 11 - iter 1260/1805 - loss 0.34838872 - samples/sec: 85.68 - lr: 0.100000
2020-09-11 09:36:32,194 epoch 11 - iter 1440/1805 - loss 0.35018714 - samples/sec: 85.02 - lr: 0.100000
2020-09-11 09:37:39,240 epoch 11 - iter 1620/1805 - loss 0.35041456 - samples/sec: 85.94 - lr: 0.100000
2020-09-11 09:38:46,336 epoch 11 - iter 1800/1805 - loss 0.35517779 - samples/sec: 85.88 - lr: 0.100000
2020-09-11 09:38:48,294 ----------------------------------------------------------------------------------------------------
2020-09-11 09:38:48,295 EPOCH 11 done: loss 0.3554 - lr 0.1000000
2020-09-11 09:38:48,295 BAD EPOCHS (no improvement): 0
2020-09-11 09:38:48,326 ----------------------------------------------------------------------------------------------------
2020-09-11 09:39:50,837 epoch 12 - iter 180/1805 - loss 0.33576657 - samples/sec: 92.18 - lr: 0.100000
2020-09-11 09:40:54,423 epoch 12 - iter 360/1805 - loss 0.31840028 - samples/sec: 90.62 - lr: 0.100000
2020-09-11 09:41:56,899 epoch 12 - iter 540/1805 - loss 0.32652829 - samples/sec: 92.23 - lr: 0.100000
2020-09-11 09:42:59,318 epoch 12 - iter 720/1805 - loss 0.32586468 - samples/sec: 92.31 - lr: 0.100000
2020-09-11 09:44:13,027 epoch 12 - iter 900/1805 - loss 0.33888394 - samples/sec: 78.17 - lr: 0.100000
2020-09-11 09:45:15,596 epoch 12 - iter 1080/1805 - loss 0.34599669 - samples/sec: 92.09 - lr: 0.100000
2020-09-11 09:46:18,444 epoch 12 - iter 1260/1805 - loss 0.34334862 - samples/sec: 91.68 - lr: 0.100000
2020-09-11 09:47:20,686 epoch 12 - iter 1440/1805 - loss 0.34356596 - samples/sec: 92.58 - lr: 0.100000
2020-09-11 09:48:22,861 epoch 12 - iter 1620/1805 - loss 0.34623448 - samples/sec: 92.68 - lr: 0.100000
2020-09-11 09:49:25,196 epoch 12 - iter 1800/1805 - loss 0.34590849 - samples/sec: 92.44 - lr: 0.100000
2020-09-11 09:49:26,952 ----------------------------------------------------------------------------------------------------
2020-09-11 09:49:26,952 EPOCH 12 done: loss 0.3456 - lr 0.1000000
2020-09-11 09:49:26,952 BAD EPOCHS (no improvement): 0
2020-09-11 09:49:26,966 ----------------------------------------------------------------------------------------------------
2020-09-11 09:50:28,319 epoch 13 - iter 180/1805 - loss 0.31831135 - samples/sec: 93.92 - lr: 0.100000
2020-09-11 09:51:30,650 epoch 13 - iter 360/1805 - loss 0.32576970 - samples/sec: 92.44 - lr: 0.100000
2020-09-11 09:52:33,507 epoch 13 - iter 540/1805 - loss 0.32157135 - samples/sec: 91.67 - lr: 0.100000
2020-09-11 09:53:35,921 epoch 13 - iter 720/1805 - loss 0.31128298 - samples/sec: 92.32 - lr: 0.100000
2020-09-11 09:54:37,778 epoch 13 - iter 900/1805 - loss 0.31161509 - samples/sec: 93.15 - lr: 0.100000
2020-09-11 09:55:40,480 epoch 13 - iter 1080/1805 - loss 0.31284209 - samples/sec: 91.90 - lr: 0.100000
2020-09-11 09:56:43,870 epoch 13 - iter 1260/1805 - loss 0.31679330 - samples/sec: 90.90 - lr: 0.100000
2020-09-11 09:57:45,571 epoch 13 - iter 1440/1805 - loss 0.31862124 - samples/sec: 93.39 - lr: 0.100000
2020-09-11 09:58:48,145 epoch 13 - iter 1620/1805 - loss 0.32167846 - samples/sec: 92.08 - lr: 0.100000
2020-09-11 09:59:50,997 epoch 13 - iter 1800/1805 - loss 0.32244722 - samples/sec: 91.68 - lr: 0.100000
2020-09-11 09:59:52,819 ----------------------------------------------------------------------------------------------------
2020-09-11 09:59:52,819 EPOCH 13 done: loss 0.3228 - lr 0.1000000
2020-09-11 09:59:52,819 BAD EPOCHS (no improvement): 0
2020-09-11 09:59:52,845 ----------------------------------------------------------------------------------------------------
2020-09-11 10:00:55,002 epoch 14 - iter 180/1805 - loss 0.29872300 - samples/sec: 92.71 - lr: 0.100000
2020-09-11 10:01:57,643 epoch 14 - iter 360/1805 - loss 0.30126282 - samples/sec: 91.99 - lr: 0.100000
2020-09-11 10:02:59,967 epoch 14 - iter 540/1805 - loss 0.30826397 - samples/sec: 92.45 - lr: 0.100000
2020-09-11 10:04:02,504 epoch 14 - iter 720/1805 - loss 0.31895521 - samples/sec: 92.14 - lr: 0.100000
2020-09-11 10:05:05,574 epoch 14 - iter 900/1805 - loss 0.31564847 - samples/sec: 91.36 - lr: 0.100000
2020-09-11 10:06:09,300 epoch 14 - iter 1080/1805 - loss 0.31405536 - samples/sec: 90.42 - lr: 0.100000
2020-09-11 10:07:19,598 epoch 14 - iter 1260/1805 - loss 0.31420224 - samples/sec: 81.97 - lr: 0.100000
2020-09-11 10:08:23,389 epoch 14 - iter 1440/1805 - loss 0.31461456 - samples/sec: 90.33 - lr: 0.100000
2020-09-11 10:09:26,499 epoch 14 - iter 1620/1805 - loss 0.31766565 - samples/sec: 91.31 - lr: 0.100000
2020-09-11 10:10:29,532 epoch 14 - iter 1800/1805 - loss 0.31389173 - samples/sec: 91.42 - lr: 0.100000
2020-09-11 10:10:31,347 ----------------------------------------------------------------------------------------------------
2020-09-11 10:10:31,347 EPOCH 14 done: loss 0.3143 - lr 0.1000000
2020-09-11 10:10:31,347 BAD EPOCHS (no improvement): 0
2020-09-11 10:10:31,353 ----------------------------------------------------------------------------------------------------
2020-09-11 10:11:34,065 epoch 15 - iter 180/1805 - loss 0.31404970 - samples/sec: 91.89 - lr: 0.100000
2020-09-11 10:12:35,420 epoch 15 - iter 360/1805 - loss 0.30648748 - samples/sec: 93.93 - lr: 0.100000
2020-09-11 10:13:35,531 epoch 15 - iter 540/1805 - loss 0.30197402 - samples/sec: 95.87 - lr: 0.100000
2020-09-11 10:14:36,834 epoch 15 - iter 720/1805 - loss 0.29843265 - samples/sec: 94.01 - lr: 0.100000
2020-09-11 10:15:37,607 epoch 15 - iter 900/1805 - loss 0.30345895 - samples/sec: 94.83 - lr: 0.100000
2020-09-11 10:16:38,167 epoch 15 - iter 1080/1805 - loss 0.30543408 - samples/sec: 95.16 - lr: 0.100000
2020-09-11 10:17:37,334 epoch 15 - iter 1260/1805 - loss 0.30379520 - samples/sec: 97.40 - lr: 0.100000
2020-09-11 10:18:37,592 epoch 15 - iter 1440/1805 - loss 0.30187451 - samples/sec: 95.64 - lr: 0.100000
2020-09-11 10:19:38,516 epoch 15 - iter 1620/1805 - loss 0.30464349 - samples/sec: 94.59 - lr: 0.100000
2020-09-11 10:20:38,172 epoch 15 - iter 1800/1805 - loss 0.30009342 - samples/sec: 96.60 - lr: 0.100000
2020-09-11 10:20:39,837 ----------------------------------------------------------------------------------------------------
2020-09-11 10:20:39,837 EPOCH 15 done: loss 0.3004 - lr 0.1000000
2020-09-11 10:20:39,837 BAD EPOCHS (no improvement): 0
2020-09-11 10:20:39,843 ----------------------------------------------------------------------------------------------------
2020-09-11 10:21:39,636 epoch 16 - iter 180/1805 - loss 0.29287677 - samples/sec: 96.38 - lr: 0.100000
2020-09-11 10:22:39,169 epoch 16 - iter 360/1805 - loss 0.30469671 - samples/sec: 96.80 - lr: 0.100000
2020-09-11 10:23:38,860 epoch 16 - iter 540/1805 - loss 0.29784314 - samples/sec: 96.54 - lr: 0.100000
2020-09-11 10:24:47,730 epoch 16 - iter 720/1805 - loss 0.29391029 - samples/sec: 83.67 - lr: 0.100000
2020-09-11 10:26:10,524 epoch 16 - iter 900/1805 - loss 0.29222173 - samples/sec: 69.59 - lr: 0.100000
2020-09-11 10:27:12,241 epoch 16 - iter 1080/1805 - loss 0.29248480 - samples/sec: 93.37 - lr: 0.100000
2020-09-11 10:28:10,681 epoch 16 - iter 1260/1805 - loss 0.29009237 - samples/sec: 98.61 - lr: 0.100000
2020-09-11 10:29:16,786 epoch 16 - iter 1440/1805 - loss 0.29039636 - samples/sec: 87.17 - lr: 0.100000
2020-09-11 10:30:19,895 epoch 16 - iter 1620/1805 - loss 0.29019947 - samples/sec: 91.31 - lr: 0.100000
2020-09-11 10:31:22,548 epoch 16 - iter 1800/1805 - loss 0.28729165 - samples/sec: 91.98 - lr: 0.100000
2020-09-11 10:31:24,390 ----------------------------------------------------------------------------------------------------
2020-09-11 10:31:24,391 EPOCH 16 done: loss 0.2868 - lr 0.1000000
2020-09-11 10:31:24,391 BAD EPOCHS (no improvement): 0
2020-09-11 10:31:24,397 ----------------------------------------------------------------------------------------------------
2020-09-11 10:32:26,291 epoch 17 - iter 180/1805 - loss 0.27881190 - samples/sec: 93.11 - lr: 0.100000
2020-09-11 10:33:25,657 epoch 17 - iter 360/1805 - loss 0.27435858 - samples/sec: 97.07 - lr: 0.100000
2020-09-11 10:34:26,321 epoch 17 - iter 540/1805 - loss 0.27497968 - samples/sec: 95.00 - lr: 0.100000
2020-09-11 10:35:26,831 epoch 17 - iter 720/1805 - loss 0.27054272 - samples/sec: 95.24 - lr: 0.100000
2020-09-11 10:36:33,355 epoch 17 - iter 900/1805 - loss 0.26682619 - samples/sec: 86.62 - lr: 0.100000
2020-09-11 10:37:39,502 epoch 17 - iter 1080/1805 - loss 0.27027317 - samples/sec: 87.12 - lr: 0.100000
2020-09-11 10:38:50,950 epoch 17 - iter 1260/1805 - loss 0.26697875 - samples/sec: 80.65 - lr: 0.100000
2020-09-11 10:39:56,068 epoch 17 - iter 1440/1805 - loss 0.26535464 - samples/sec: 88.49 - lr: 0.100000
2020-09-11 10:41:00,265 epoch 17 - iter 1620/1805 - loss 0.26534688 - samples/sec: 89.76 - lr: 0.100000
2020-09-11 10:42:03,474 epoch 17 - iter 1800/1805 - loss 0.26534309 - samples/sec: 91.16 - lr: 0.100000
2020-09-11 10:42:05,064 ----------------------------------------------------------------------------------------------------
2020-09-11 10:42:05,065 EPOCH 17 done: loss 0.2656 - lr 0.1000000
2020-09-11 10:42:05,065 BAD EPOCHS (no improvement): 0
2020-09-11 10:42:05,071 ----------------------------------------------------------------------------------------------------
2020-09-11 10:43:05,011 epoch 18 - iter 180/1805 - loss 0.26070342 - samples/sec: 96.15 - lr: 0.100000
2020-09-11 10:44:08,188 epoch 18 - iter 360/1805 - loss 0.25725058 - samples/sec: 91.21 - lr: 0.100000
2020-09-11 10:45:11,643 epoch 18 - iter 540/1805 - loss 0.25137974 - samples/sec: 90.81 - lr: 0.100000
2020-09-11 10:46:18,370 epoch 18 - iter 720/1805 - loss 0.24862598 - samples/sec: 86.36 - lr: 0.100000
2020-09-11 10:47:24,991 epoch 18 - iter 900/1805 - loss 0.25169023 - samples/sec: 86.50 - lr: 0.100000
2020-09-11 10:48:29,521 epoch 18 - iter 1080/1805 - loss 0.25320378 - samples/sec: 89.30 - lr: 0.100000
2020-09-11 10:49:32,418 epoch 18 - iter 1260/1805 - loss 0.24843578 - samples/sec: 91.62 - lr: 0.100000
2020-09-11 10:50:34,896 epoch 18 - iter 1440/1805 - loss 0.25045841 - samples/sec: 92.24 - lr: 0.100000
2020-09-11 10:51:37,610 epoch 18 - iter 1620/1805 - loss 0.25243175 - samples/sec: 91.89 - lr: 0.100000
2020-09-11 10:52:45,100 epoch 18 - iter 1800/1805 - loss 0.25372868 - samples/sec: 85.38 - lr: 0.100000
2020-09-11 10:52:46,899 ----------------------------------------------------------------------------------------------------
2020-09-11 10:52:46,899 EPOCH 18 done: loss 0.2537 - lr 0.1000000
2020-09-11 10:52:46,899 BAD EPOCHS (no improvement): 0
2020-09-11 10:52:46,905 ----------------------------------------------------------------------------------------------------
2020-09-11 10:53:47,388 epoch 19 - iter 180/1805 - loss 0.23821827 - samples/sec: 95.28 - lr: 0.100000
2020-09-11 10:54:48,057 epoch 19 - iter 360/1805 - loss 0.24467301 - samples/sec: 94.99 - lr: 0.100000
2020-09-11 10:55:48,992 epoch 19 - iter 540/1805 - loss 0.24391957 - samples/sec: 94.58 - lr: 0.100000
2020-09-11 10:56:49,285 epoch 19 - iter 720/1805 - loss 0.24353833 - samples/sec: 95.58 - lr: 0.100000
2020-09-11 10:57:49,579 epoch 19 - iter 900/1805 - loss 0.24642762 - samples/sec: 95.58 - lr: 0.100000
2020-09-11 10:58:53,921 epoch 19 - iter 1080/1805 - loss 0.24563980 - samples/sec: 89.56 - lr: 0.100000
2020-09-11 10:59:58,079 epoch 19 - iter 1260/1805 - loss 0.24369834 - samples/sec: 89.82 - lr: 0.100000
2020-09-11 11:00:58,954 epoch 19 - iter 1440/1805 - loss 0.24603596 - samples/sec: 94.66 - lr: 0.100000
2020-09-11 11:02:00,196 epoch 19 - iter 1620/1805 - loss 0.24812920 - samples/sec: 94.10 - lr: 0.100000
2020-09-11 11:03:00,796 epoch 19 - iter 1800/1805 - loss 0.24890030 - samples/sec: 95.10 - lr: 0.100000
2020-09-11 11:03:02,336 ----------------------------------------------------------------------------------------------------
2020-09-11 11:03:02,336 EPOCH 19 done: loss 0.2488 - lr 0.1000000
2020-09-11 11:03:02,337 BAD EPOCHS (no improvement): 0
2020-09-11 11:03:02,342 ----------------------------------------------------------------------------------------------------
2020-09-11 11:04:10,613 epoch 20 - iter 180/1805 - loss 0.23596465 - samples/sec: 84.41 - lr: 0.100000
2020-09-11 11:05:10,172 epoch 20 - iter 360/1805 - loss 0.23367746 - samples/sec: 96.76 - lr: 0.100000
2020-09-11 11:06:12,572 epoch 20 - iter 540/1805 - loss 0.23726190 - samples/sec: 92.35 - lr: 0.100000
2020-09-11 11:07:14,025 epoch 20 - iter 720/1805 - loss 0.23400183 - samples/sec: 93.77 - lr: 0.100000
2020-09-11 11:08:13,144 epoch 20 - iter 900/1805 - loss 0.23307370 - samples/sec: 97.48 - lr: 0.100000
2020-09-11 11:09:13,383 epoch 20 - iter 1080/1805 - loss 0.23479553 - samples/sec: 95.67 - lr: 0.100000
2020-09-11 11:10:17,251 epoch 20 - iter 1260/1805 - loss 0.23566618 - samples/sec: 90.23 - lr: 0.100000
2020-09-11 11:11:33,213 epoch 20 - iter 1440/1805 - loss 0.23679949 - samples/sec: 75.86 - lr: 0.100000
2020-09-11 11:12:40,233 epoch 20 - iter 1620/1805 - loss 0.23655362 - samples/sec: 85.98 - lr: 0.100000
2020-09-11 11:13:46,300 epoch 20 - iter 1800/1805 - loss 0.23943195 - samples/sec: 87.22 - lr: 0.100000
2020-09-11 11:13:48,345 ----------------------------------------------------------------------------------------------------
2020-09-11 11:13:48,346 EPOCH 20 done: loss 0.2396 - lr 0.1000000
2020-09-11 11:13:48,346 BAD EPOCHS (no improvement): 0
2020-09-11 11:13:48,354 ----------------------------------------------------------------------------------------------------
2020-09-11 11:14:52,822 epoch 21 - iter 180/1805 - loss 0.22818327 - samples/sec: 89.39 - lr: 0.100000
2020-09-11 11:15:54,108 epoch 21 - iter 360/1805 - loss 0.21521831 - samples/sec: 94.03 - lr: 0.100000
2020-09-11 11:16:54,384 epoch 21 - iter 540/1805 - loss 0.21808162 - samples/sec: 95.61 - lr: 0.100000
2020-09-11 11:17:56,037 epoch 21 - iter 720/1805 - loss 0.21705856 - samples/sec: 93.47 - lr: 0.100000
2020-09-11 11:18:58,894 epoch 21 - iter 900/1805 - loss 0.21945443 - samples/sec: 91.68 - lr: 0.100000
2020-09-11 11:20:09,994 epoch 21 - iter 1080/1805 - loss 0.22325471 - samples/sec: 81.04 - lr: 0.100000
2020-09-11 11:21:16,477 epoch 21 - iter 1260/1805 - loss 0.22639232 - samples/sec: 86.68 - lr: 0.100000
2020-09-11 11:22:22,603 epoch 21 - iter 1440/1805 - loss 0.22702622 - samples/sec: 87.14 - lr: 0.100000
2020-09-11 11:23:28,552 epoch 21 - iter 1620/1805 - loss 0.22878646 - samples/sec: 87.38 - lr: 0.100000
2020-09-11 11:24:39,583 epoch 21 - iter 1800/1805 - loss 0.22828955 - samples/sec: 81.12 - lr: 0.100000
2020-09-11 11:24:41,377 ----------------------------------------------------------------------------------------------------
2020-09-11 11:24:41,378 EPOCH 21 done: loss 0.2282 - lr 0.1000000
2020-09-11 11:24:41,378 BAD EPOCHS (no improvement): 0
2020-09-11 11:24:41,386 ----------------------------------------------------------------------------------------------------
2020-09-11 11:25:46,736 epoch 22 - iter 180/1805 - loss 0.21646171 - samples/sec: 88.18 - lr: 0.100000
2020-09-11 11:26:54,185 epoch 22 - iter 360/1805 - loss 0.21135431 - samples/sec: 85.43 - lr: 0.100000
2020-09-11 11:27:57,190 epoch 22 - iter 540/1805 - loss 0.21414065 - samples/sec: 91.46 - lr: 0.100000
2020-09-11 11:28:59,217 epoch 22 - iter 720/1805 - loss 0.21896353 - samples/sec: 92.91 - lr: 0.100000
2020-09-11 11:29:58,296 epoch 22 - iter 900/1805 - loss 0.21881150 - samples/sec: 97.55 - lr: 0.100000
2020-09-11 11:30:57,808 epoch 22 - iter 1080/1805 - loss 0.21935631 - samples/sec: 96.84 - lr: 0.100000
2020-09-11 11:31:56,569 epoch 22 - iter 1260/1805 - loss 0.21916044 - samples/sec: 98.07 - lr: 0.100000
2020-09-11 11:32:56,271 epoch 22 - iter 1440/1805 - loss 0.21845389 - samples/sec: 96.53 - lr: 0.100000
2020-09-11 11:33:56,677 epoch 22 - iter 1620/1805 - loss 0.21925271 - samples/sec: 95.40 - lr: 0.100000
2020-09-11 11:34:56,754 epoch 22 - iter 1800/1805 - loss 0.22151336 - samples/sec: 95.93 - lr: 0.100000
2020-09-11 11:34:58,285 ----------------------------------------------------------------------------------------------------
2020-09-11 11:34:58,285 EPOCH 22 done: loss 0.2217 - lr 0.1000000
2020-09-11 11:34:58,285 BAD EPOCHS (no improvement): 0
2020-09-11 11:34:58,291 ----------------------------------------------------------------------------------------------------
2020-09-11 11:36:00,687 epoch 23 - iter 180/1805 - loss 0.20897630 - samples/sec: 92.36 - lr: 0.100000
2020-09-11 11:37:02,165 epoch 23 - iter 360/1805 - loss 0.19316864 - samples/sec: 93.73 - lr: 0.100000
2020-09-11 11:38:01,625 epoch 23 - iter 540/1805 - loss 0.19955340 - samples/sec: 96.92 - lr: 0.100000
2020-09-11 11:39:00,534 epoch 23 - iter 720/1805 - loss 0.20084225 - samples/sec: 97.83 - lr: 0.100000
2020-09-11 11:40:01,215 epoch 23 - iter 900/1805 - loss 0.20542925 - samples/sec: 94.97 - lr: 0.100000
2020-09-11 11:41:00,851 epoch 23 - iter 1080/1805 - loss 0.20908007 - samples/sec: 96.63 - lr: 0.100000
2020-09-11 11:41:59,384 epoch 23 - iter 1260/1805 - loss 0.21216693 - samples/sec: 98.46 - lr: 0.100000
2020-09-11 11:42:59,802 epoch 23 - iter 1440/1805 - loss 0.21294352 - samples/sec: 95.38 - lr: 0.100000
2020-09-11 11:44:00,290 epoch 23 - iter 1620/1805 - loss 0.21358350 - samples/sec: 95.27 - lr: 0.100000
2020-09-11 11:44:59,782 epoch 23 - iter 1800/1805 - loss 0.21481343 - samples/sec: 96.87 - lr: 0.100000
2020-09-11 11:45:01,454 ----------------------------------------------------------------------------------------------------
2020-09-11 11:45:01,454 EPOCH 23 done: loss 0.2145 - lr 0.1000000
2020-09-11 11:45:01,454 BAD EPOCHS (no improvement): 0
2020-09-11 11:45:01,460 ----------------------------------------------------------------------------------------------------
2020-09-11 11:46:01,565 epoch 24 - iter 180/1805 - loss 0.22021837 - samples/sec: 95.88 - lr: 0.100000
2020-09-11 11:47:00,167 epoch 24 - iter 360/1805 - loss 0.20838285 - samples/sec: 98.34 - lr: 0.100000
2020-09-11 11:48:00,650 epoch 24 - iter 540/1805 - loss 0.20680055 - samples/sec: 95.28 - lr: 0.100000
2020-09-11 11:48:59,785 epoch 24 - iter 720/1805 - loss 0.20348383 - samples/sec: 97.45 - lr: 0.100000
2020-09-11 11:49:59,228 epoch 24 - iter 900/1805 - loss 0.20752843 - samples/sec: 96.95 - lr: 0.100000
2020-09-11 11:50:59,042 epoch 24 - iter 1080/1805 - loss 0.20991957 - samples/sec: 96.35 - lr: 0.100000
2020-09-11 11:51:57,812 epoch 24 - iter 1260/1805 - loss 0.21275721 - samples/sec: 98.06 - lr: 0.100000
2020-09-11 11:52:57,345 epoch 24 - iter 1440/1805 - loss 0.21178430 - samples/sec: 96.80 - lr: 0.100000
2020-09-11 11:53:57,114 epoch 24 - iter 1620/1805 - loss 0.21258690 - samples/sec: 96.42 - lr: 0.100000
2020-09-11 11:54:55,892 epoch 24 - iter 1800/1805 - loss 0.21122571 - samples/sec: 98.05 - lr: 0.100000
2020-09-11 11:54:57,430 ----------------------------------------------------------------------------------------------------
2020-09-11 11:54:57,430 EPOCH 24 done: loss 0.2114 - lr 0.1000000
2020-09-11 11:54:57,430 BAD EPOCHS (no improvement): 0
2020-09-11 11:54:57,454 ----------------------------------------------------------------------------------------------------
2020-09-11 11:55:56,749 epoch 25 - iter 180/1805 - loss 0.19952657 - samples/sec: 97.19 - lr: 0.100000
2020-09-11 11:56:56,723 epoch 25 - iter 360/1805 - loss 0.20347927 - samples/sec: 96.09 - lr: 0.100000
2020-09-11 11:57:56,231 epoch 25 - iter 540/1805 - loss 0.20407216 - samples/sec: 96.84 - lr: 0.100000
2020-09-11 11:59:04,222 epoch 25 - iter 720/1805 - loss 0.20319671 - samples/sec: 84.75 - lr: 0.100000
2020-09-11 12:00:02,646 epoch 25 - iter 900/1805 - loss 0.19966452 - samples/sec: 98.64 - lr: 0.100000
2020-09-11 12:01:02,043 epoch 25 - iter 1080/1805 - loss 0.20139031 - samples/sec: 97.02 - lr: 0.100000
2020-09-11 12:02:00,778 epoch 25 - iter 1260/1805 - loss 0.20260097 - samples/sec: 98.12 - lr: 0.100000
2020-09-11 12:03:01,436 epoch 25 - iter 1440/1805 - loss 0.20537367 - samples/sec: 95.00 - lr: 0.100000
2020-09-11 12:04:00,887 epoch 25 - iter 1620/1805 - loss 0.20615582 - samples/sec: 96.94 - lr: 0.100000
2020-09-11 12:05:01,118 epoch 25 - iter 1800/1805 - loss 0.20670151 - samples/sec: 95.68 - lr: 0.100000
2020-09-11 12:05:02,832 ----------------------------------------------------------------------------------------------------
2020-09-11 12:05:02,832 EPOCH 25 done: loss 0.2067 - lr 0.1000000
2020-09-11 12:05:02,832 BAD EPOCHS (no improvement): 0
2020-09-11 12:05:02,843 ----------------------------------------------------------------------------------------------------
2020-09-11 12:06:02,438 epoch 26 - iter 180/1805 - loss 0.17844806 - samples/sec: 96.70 - lr: 0.100000
2020-09-11 12:07:02,480 epoch 26 - iter 360/1805 - loss 0.18558450 - samples/sec: 95.98 - lr: 0.100000
2020-09-11 12:08:02,183 epoch 26 - iter 540/1805 - loss 0.19491034 - samples/sec: 96.52 - lr: 0.100000
2020-09-11 12:09:02,397 epoch 26 - iter 720/1805 - loss 0.19626519 - samples/sec: 95.70 - lr: 0.100000
2020-09-11 12:10:00,410 epoch 26 - iter 900/1805 - loss 0.19465678 - samples/sec: 99.34 - lr: 0.100000
2020-09-11 12:10:59,221 epoch 26 - iter 1080/1805 - loss 0.19513718 - samples/sec: 97.99 - lr: 0.100000
2020-09-11 12:11:57,506 epoch 26 - iter 1260/1805 - loss 0.19662404 - samples/sec: 98.87 - lr: 0.100000
2020-09-11 12:12:57,574 epoch 26 - iter 1440/1805 - loss 0.19865496 - samples/sec: 95.94 - lr: 0.100000
2020-09-11 12:13:56,483 epoch 26 - iter 1620/1805 - loss 0.19804942 - samples/sec: 97.82 - lr: 0.100000
2020-09-11 12:14:54,288 epoch 26 - iter 1800/1805 - loss 0.19867579 - samples/sec: 99.69 - lr: 0.100000
2020-09-11 12:14:55,905 ----------------------------------------------------------------------------------------------------
2020-09-11 12:14:55,906 EPOCH 26 done: loss 0.1984 - lr 0.1000000
2020-09-11 12:14:55,906 BAD EPOCHS (no improvement): 0
2020-09-11 12:14:55,908 ----------------------------------------------------------------------------------------------------
2020-09-11 12:15:54,513 epoch 27 - iter 180/1805 - loss 0.20886939 - samples/sec: 98.33 - lr: 0.100000
2020-09-11 12:16:53,428 epoch 27 - iter 360/1805 - loss 0.21601977 - samples/sec: 97.81 - lr: 0.100000
2020-09-11 12:17:51,813 epoch 27 - iter 540/1805 - loss 0.21250575 - samples/sec: 98.70 - lr: 0.100000
2020-09-11 12:18:50,518 epoch 27 - iter 720/1805 - loss 0.20477787 - samples/sec: 98.16 - lr: 0.100000
2020-09-11 12:19:49,159 epoch 27 - iter 900/1805 - loss 0.20104792 - samples/sec: 98.27 - lr: 0.100000
2020-09-11 12:20:48,223 epoch 27 - iter 1080/1805 - loss 0.19943310 - samples/sec: 97.56 - lr: 0.100000
2020-09-11 12:21:47,138 epoch 27 - iter 1260/1805 - loss 0.19791824 - samples/sec: 97.81 - lr: 0.100000
2020-09-11 12:22:46,681 epoch 27 - iter 1440/1805 - loss 0.19748250 - samples/sec: 96.78 - lr: 0.100000
2020-09-11 12:23:44,719 epoch 27 - iter 1620/1805 - loss 0.19786587 - samples/sec: 99.29 - lr: 0.100000
2020-09-11 12:24:43,950 epoch 27 - iter 1800/1805 - loss 0.19957058 - samples/sec: 97.29 - lr: 0.100000
2020-09-11 12:24:45,585 ----------------------------------------------------------------------------------------------------
2020-09-11 12:24:45,585 EPOCH 27 done: loss 0.1998 - lr 0.1000000
2020-09-11 12:24:45,585 BAD EPOCHS (no improvement): 1
2020-09-11 12:24:45,591 ----------------------------------------------------------------------------------------------------
2020-09-11 12:25:45,006 epoch 28 - iter 180/1805 - loss 0.19160976 - samples/sec: 96.99 - lr: 0.100000
2020-09-11 12:26:43,550 epoch 28 - iter 360/1805 - loss 0.17445559 - samples/sec: 98.43 - lr: 0.100000
2020-09-11 12:27:43,164 epoch 28 - iter 540/1805 - loss 0.17802599 - samples/sec: 96.67 - lr: 0.100000
2020-09-11 12:28:42,922 epoch 28 - iter 720/1805 - loss 0.17984549 - samples/sec: 96.43 - lr: 0.100000
2020-09-11 12:29:41,507 epoch 28 - iter 900/1805 - loss 0.18673598 - samples/sec: 98.36 - lr: 0.100000
2020-09-11 12:30:40,353 epoch 28 - iter 1080/1805 - loss 0.18668034 - samples/sec: 97.93 - lr: 0.100000
2020-09-11 12:31:39,091 epoch 28 - iter 1260/1805 - loss 0.18740736 - samples/sec: 98.11 - lr: 0.100000
2020-09-11 12:32:38,254 epoch 28 - iter 1440/1805 - loss 0.18836253 - samples/sec: 97.40 - lr: 0.100000
2020-09-11 12:33:37,163 epoch 28 - iter 1620/1805 - loss 0.18830057 - samples/sec: 97.82 - lr: 0.100000
2020-09-11 12:34:36,525 epoch 28 - iter 1800/1805 - loss 0.18940492 - samples/sec: 97.08 - lr: 0.100000
2020-09-11 12:34:38,135 ----------------------------------------------------------------------------------------------------
2020-09-11 12:34:38,135 EPOCH 28 done: loss 0.1899 - lr 0.1000000
2020-09-11 12:34:38,136 BAD EPOCHS (no improvement): 0
2020-09-11 12:34:38,153 ----------------------------------------------------------------------------------------------------
2020-09-11 12:35:37,547 epoch 29 - iter 180/1805 - loss 0.17351536 - samples/sec: 97.03 - lr: 0.100000
2020-09-11 12:36:36,239 epoch 29 - iter 360/1805 - loss 0.17591142 - samples/sec: 98.18 - lr: 0.100000
2020-09-11 12:37:34,665 epoch 29 - iter 540/1805 - loss 0.18087879 - samples/sec: 98.63 - lr: 0.100000
2020-09-11 12:38:33,442 epoch 29 - iter 720/1805 - loss 0.18300480 - samples/sec: 98.04 - lr: 0.100000
2020-09-11 12:39:31,857 epoch 29 - iter 900/1805 - loss 0.18302629 - samples/sec: 98.65 - lr: 0.100000
2020-09-11 12:40:30,831 epoch 29 - iter 1080/1805 - loss 0.18323982 - samples/sec: 97.71 - lr: 0.100000
2020-09-11 12:41:30,499 epoch 29 - iter 1260/1805 - loss 0.18755204 - samples/sec: 96.58 - lr: 0.100000
2020-09-11 12:42:29,717 epoch 29 - iter 1440/1805 - loss 0.18719867 - samples/sec: 97.31 - lr: 0.100000
2020-09-11 12:43:28,323 epoch 29 - iter 1620/1805 - loss 0.18841885 - samples/sec: 98.33 - lr: 0.100000
2020-09-11 12:44:27,850 epoch 29 - iter 1800/1805 - loss 0.18660501 - samples/sec: 96.81 - lr: 0.100000
2020-09-11 12:44:29,524 ----------------------------------------------------------------------------------------------------
2020-09-11 12:44:29,525 EPOCH 29 done: loss 0.1865 - lr 0.1000000
2020-09-11 12:44:29,525 BAD EPOCHS (no improvement): 0
2020-09-11 12:44:29,531 ----------------------------------------------------------------------------------------------------
2020-09-11 12:45:28,701 epoch 30 - iter 180/1805 - loss 0.18403122 - samples/sec: 97.39 - lr: 0.100000
2020-09-11 12:46:27,162 epoch 30 - iter 360/1805 - loss 0.17518274 - samples/sec: 98.57 - lr: 0.100000
2020-09-11 12:47:26,001 epoch 30 - iter 540/1805 - loss 0.18748392 - samples/sec: 97.94 - lr: 0.100000
2020-09-11 12:48:25,577 epoch 30 - iter 720/1805 - loss 0.18636344 - samples/sec: 96.73 - lr: 0.100000
2020-09-11 12:49:24,762 epoch 30 - iter 900/1805 - loss 0.18855226 - samples/sec: 97.37 - lr: 0.100000
2020-09-11 12:50:23,959 epoch 30 - iter 1080/1805 - loss 0.18784309 - samples/sec: 97.35 - lr: 0.100000
2020-09-11 12:51:31,606 epoch 30 - iter 1260/1805 - loss 0.18885134 - samples/sec: 85.18 - lr: 0.100000
2020-09-11 12:52:31,352 epoch 30 - iter 1440/1805 - loss 0.18862709 - samples/sec: 96.45 - lr: 0.100000
2020-09-11 12:53:30,788 epoch 30 - iter 1620/1805 - loss 0.18817384 - samples/sec: 96.95 - lr: 0.100000
2020-09-11 12:54:30,759 epoch 30 - iter 1800/1805 - loss 0.19011542 - samples/sec: 96.09 - lr: 0.100000
2020-09-11 12:54:32,314 ----------------------------------------------------------------------------------------------------
2020-09-11 12:54:32,314 EPOCH 30 done: loss 0.1898 - lr 0.1000000
2020-09-11 12:54:32,314 BAD EPOCHS (no improvement): 1
2020-09-11 12:54:32,320 ----------------------------------------------------------------------------------------------------
2020-09-11 12:55:32,188 epoch 31 - iter 180/1805 - loss 0.18840235 - samples/sec: 96.26 - lr: 0.100000
2020-09-11 12:56:31,381 epoch 31 - iter 360/1805 - loss 0.18796918 - samples/sec: 97.35 - lr: 0.100000
2020-09-11 12:57:30,807 epoch 31 - iter 540/1805 - loss 0.18131845 - samples/sec: 96.97 - lr: 0.100000
2020-09-11 12:58:29,268 epoch 31 - iter 720/1805 - loss 0.17737956 - samples/sec: 98.57 - lr: 0.100000
2020-09-11 12:59:29,298 epoch 31 - iter 900/1805 - loss 0.18244470 - samples/sec: 96.00 - lr: 0.100000
2020-09-11 13:00:28,820 epoch 31 - iter 1080/1805 - loss 0.18250600 - samples/sec: 96.82 - lr: 0.100000
2020-09-11 13:01:27,577 epoch 31 - iter 1260/1805 - loss 0.18480259 - samples/sec: 98.08 - lr: 0.100000
2020-09-11 13:02:26,697 epoch 31 - iter 1440/1805 - loss 0.18378679 - samples/sec: 97.47 - lr: 0.100000
2020-09-11 13:03:25,422 epoch 31 - iter 1620/1805 - loss 0.18300458 - samples/sec: 98.13 - lr: 0.100000
2020-09-11 13:04:23,976 epoch 31 - iter 1800/1805 - loss 0.18413365 - samples/sec: 98.42 - lr: 0.100000
2020-09-11 13:04:25,655 ----------------------------------------------------------------------------------------------------
2020-09-11 13:04:25,656 EPOCH 31 done: loss 0.1840 - lr 0.1000000
2020-09-11 13:04:25,656 BAD EPOCHS (no improvement): 0
2020-09-11 13:04:25,659 ----------------------------------------------------------------------------------------------------
2020-09-11 13:05:25,068 epoch 32 - iter 180/1805 - loss 0.17294823 - samples/sec: 97.00 - lr: 0.100000
2020-09-11 13:06:24,323 epoch 32 - iter 360/1805 - loss 0.16539255 - samples/sec: 97.25 - lr: 0.100000
2020-09-11 13:07:23,496 epoch 32 - iter 540/1805 - loss 0.17202550 - samples/sec: 97.38 - lr: 0.100000
2020-09-11 13:08:22,301 epoch 32 - iter 720/1805 - loss 0.16764691 - samples/sec: 97.99 - lr: 0.100000
2020-09-11 13:09:21,188 epoch 32 - iter 900/1805 - loss 0.16959045 - samples/sec: 97.86 - lr: 0.100000
2020-09-11 13:10:19,798 epoch 32 - iter 1080/1805 - loss 0.17002885 - samples/sec: 98.32 - lr: 0.100000
2020-09-11 13:11:19,545 epoch 32 - iter 1260/1805 - loss 0.16987626 - samples/sec: 96.45 - lr: 0.100000
2020-09-11 13:12:18,929 epoch 32 - iter 1440/1805 - loss 0.17126760 - samples/sec: 97.04 - lr: 0.100000
2020-09-11 13:13:17,612 epoch 32 - iter 1620/1805 - loss 0.17155635 - samples/sec: 98.20 - lr: 0.100000
2020-09-11 13:14:16,307 epoch 32 - iter 1800/1805 - loss 0.17133273 - samples/sec: 98.18 - lr: 0.100000
2020-09-11 13:14:18,031 ----------------------------------------------------------------------------------------------------
2020-09-11 13:14:18,032 EPOCH 32 done: loss 0.1712 - lr 0.1000000
2020-09-11 13:14:18,032 BAD EPOCHS (no improvement): 0
2020-09-11 13:14:18,038 ----------------------------------------------------------------------------------------------------
2020-09-11 13:15:16,771 epoch 33 - iter 180/1805 - loss 0.14717577 - samples/sec: 98.12 - lr: 0.100000
2020-09-11 13:16:16,210 epoch 33 - iter 360/1805 - loss 0.16923203 - samples/sec: 96.95 - lr: 0.100000
2020-09-11 13:17:15,914 epoch 33 - iter 540/1805 - loss 0.18546960 - samples/sec: 96.52 - lr: 0.100000
2020-09-11 13:18:16,086 epoch 33 - iter 720/1805 - loss 0.18213028 - samples/sec: 95.77 - lr: 0.100000
2020-09-11 13:19:15,446 epoch 33 - iter 900/1805 - loss 0.18296953 - samples/sec: 97.08 - lr: 0.100000
2020-09-11 13:20:13,852 epoch 33 - iter 1080/1805 - loss 0.18313951 - samples/sec: 98.67 - lr: 0.100000
2020-09-11 13:21:12,994 epoch 33 - iter 1260/1805 - loss 0.17915623 - samples/sec: 97.44 - lr: 0.100000
2020-09-11 13:22:11,276 epoch 33 - iter 1440/1805 - loss 0.17695574 - samples/sec: 98.88 - lr: 0.100000
2020-09-11 13:23:10,402 epoch 33 - iter 1620/1805 - loss 0.17306486 - samples/sec: 97.46 - lr: 0.100000
2020-09-11 13:24:08,943 epoch 33 - iter 1800/1805 - loss 0.17193697 - samples/sec: 98.44 - lr: 0.100000
2020-09-11 13:24:10,514 ----------------------------------------------------------------------------------------------------
2020-09-11 13:24:10,515 EPOCH 33 done: loss 0.1718 - lr 0.1000000
2020-09-11 13:24:10,515 BAD EPOCHS (no improvement): 1
2020-09-11 13:24:10,519 ----------------------------------------------------------------------------------------------------
2020-09-11 13:25:09,425 epoch 34 - iter 180/1805 - loss 0.16008797 - samples/sec: 97.83 - lr: 0.100000
2020-09-11 13:26:08,185 epoch 34 - iter 360/1805 - loss 0.15958542 - samples/sec: 98.07 - lr: 0.100000
2020-09-11 13:27:05,504 epoch 34 - iter 540/1805 - loss 0.16353700 - samples/sec: 100.54 - lr: 0.100000
2020-09-11 13:28:05,671 epoch 34 - iter 720/1805 - loss 0.16860408 - samples/sec: 95.78 - lr: 0.100000
2020-09-11 13:29:05,503 epoch 34 - iter 900/1805 - loss 0.16261268 - samples/sec: 96.31 - lr: 0.100000
2020-09-11 13:30:04,610 epoch 34 - iter 1080/1805 - loss 0.16524921 - samples/sec: 97.49 - lr: 0.100000
2020-09-11 13:31:03,262 epoch 34 - iter 1260/1805 - loss 0.17002101 - samples/sec: 98.25 - lr: 0.100000
2020-09-11 13:32:02,204 epoch 34 - iter 1440/1805 - loss 0.16964654 - samples/sec: 97.77 - lr: 0.100000
2020-09-11 13:33:00,826 epoch 34 - iter 1620/1805 - loss 0.17012683 - samples/sec: 98.30 - lr: 0.100000
2020-09-11 13:33:59,937 epoch 34 - iter 1800/1805 - loss 0.17014545 - samples/sec: 97.49 - lr: 0.100000
2020-09-11 13:34:01,497 ----------------------------------------------------------------------------------------------------
2020-09-11 13:34:01,497 EPOCH 34 done: loss 0.1702 - lr 0.1000000
2020-09-11 13:34:01,497 BAD EPOCHS (no improvement): 0
2020-09-11 13:34:01,503 ----------------------------------------------------------------------------------------------------
2020-09-11 13:34:59,849 epoch 35 - iter 180/1805 - loss 0.17613236 - samples/sec: 98.77 - lr: 0.100000
2020-09-11 13:35:58,475 epoch 35 - iter 360/1805 - loss 0.16769096 - samples/sec: 98.29 - lr: 0.100000
2020-09-11 13:36:56,354 epoch 35 - iter 540/1805 - loss 0.16248231 - samples/sec: 99.56 - lr: 0.100000
2020-09-11 13:37:55,574 epoch 35 - iter 720/1805 - loss 0.17072071 - samples/sec: 97.31 - lr: 0.100000
2020-09-11 13:38:54,416 epoch 35 - iter 900/1805 - loss 0.16924585 - samples/sec: 97.93 - lr: 0.100000
2020-09-11 13:39:52,914 epoch 35 - iter 1080/1805 - loss 0.16663301 - samples/sec: 98.51 - lr: 0.100000
2020-09-11 13:40:52,310 epoch 35 - iter 1260/1805 - loss 0.16435518 - samples/sec: 97.02 - lr: 0.100000
2020-09-11 13:41:52,408 epoch 35 - iter 1440/1805 - loss 0.16420092 - samples/sec: 95.89 - lr: 0.100000
2020-09-11 13:42:52,377 epoch 35 - iter 1620/1805 - loss 0.16618442 - samples/sec: 96.09 - lr: 0.100000
2020-09-11 13:44:00,339 epoch 35 - iter 1800/1805 - loss 0.16646900 - samples/sec: 84.79 - lr: 0.100000
2020-09-11 13:44:01,953 ----------------------------------------------------------------------------------------------------
2020-09-11 13:44:01,953 EPOCH 35 done: loss 0.1667 - lr 0.1000000
2020-09-11 13:44:01,953 BAD EPOCHS (no improvement): 0
2020-09-11 13:44:01,959 ----------------------------------------------------------------------------------------------------
2020-09-11 13:45:02,060 epoch 36 - iter 180/1805 - loss 0.14086879 - samples/sec: 95.89 - lr: 0.100000
2020-09-11 13:46:01,348 epoch 36 - iter 360/1805 - loss 0.15127326 - samples/sec: 97.20 - lr: 0.100000
2020-09-11 13:47:00,018 epoch 36 - iter 540/1805 - loss 0.14764722 - samples/sec: 98.22 - lr: 0.100000
2020-09-11 13:47:59,622 epoch 36 - iter 720/1805 - loss 0.14446384 - samples/sec: 96.68 - lr: 0.100000
2020-09-11 13:48:59,014 epoch 36 - iter 900/1805 - loss 0.14878590 - samples/sec: 97.03 - lr: 0.100000
2020-09-11 13:49:58,402 epoch 36 - iter 1080/1805 - loss 0.14947305 - samples/sec: 97.03 - lr: 0.100000
2020-09-11 13:50:57,694 epoch 36 - iter 1260/1805 - loss 0.15588544 - samples/sec: 97.19 - lr: 0.100000
2020-09-11 13:51:56,903 epoch 36 - iter 1440/1805 - loss 0.15526371 - samples/sec: 97.33 - lr: 0.100000
2020-09-11 13:52:57,028 epoch 36 - iter 1620/1805 - loss 0.15562216 - samples/sec: 95.85 - lr: 0.100000
2020-09-11 13:53:55,042 epoch 36 - iter 1800/1805 - loss 0.15882716 - samples/sec: 99.33 - lr: 0.100000
2020-09-11 13:53:56,585 ----------------------------------------------------------------------------------------------------
2020-09-11 13:53:56,585 EPOCH 36 done: loss 0.1592 - lr 0.1000000
2020-09-11 13:53:56,585 BAD EPOCHS (no improvement): 0
2020-09-11 13:53:56,588 ----------------------------------------------------------------------------------------------------
2020-09-11 13:54:55,278 epoch 37 - iter 180/1805 - loss 0.12812412 - samples/sec: 98.19 - lr: 0.100000
2020-09-11 13:55:54,514 epoch 37 - iter 360/1805 - loss 0.14880009 - samples/sec: 97.28 - lr: 0.100000
2020-09-11 13:56:53,853 epoch 37 - iter 540/1805 - loss 0.15495604 - samples/sec: 97.12 - lr: 0.100000
2020-09-11 13:57:52,697 epoch 37 - iter 720/1805 - loss 0.14816225 - samples/sec: 97.93 - lr: 0.100000
2020-09-11 13:58:51,184 epoch 37 - iter 900/1805 - loss 0.14940025 - samples/sec: 98.53 - lr: 0.100000
2020-09-11 13:59:50,316 epoch 37 - iter 1080/1805 - loss 0.15199483 - samples/sec: 97.46 - lr: 0.100000
2020-09-11 14:00:49,347 epoch 37 - iter 1260/1805 - loss 0.14973203 - samples/sec: 97.62 - lr: 0.100000
2020-09-11 14:01:49,454 epoch 37 - iter 1440/1805 - loss 0.15538185 - samples/sec: 95.88 - lr: 0.100000
2020-09-11 14:02:48,362 epoch 37 - iter 1620/1805 - loss 0.15601070 - samples/sec: 97.83 - lr: 0.100000
2020-09-11 14:03:47,810 epoch 37 - iter 1800/1805 - loss 0.15641078 - samples/sec: 96.94 - lr: 0.100000
2020-09-11 14:03:49,525 ----------------------------------------------------------------------------------------------------
2020-09-11 14:03:49,526 EPOCH 37 done: loss 0.1563 - lr 0.1000000
2020-09-11 14:03:49,526 BAD EPOCHS (no improvement): 0
2020-09-11 14:03:49,534 ----------------------------------------------------------------------------------------------------
2020-09-11 14:04:48,738 epoch 38 - iter 180/1805 - loss 0.15494359 - samples/sec: 97.34 - lr: 0.100000
2020-09-11 14:05:47,440 epoch 38 - iter 360/1805 - loss 0.15082538 - samples/sec: 98.17 - lr: 0.100000
2020-09-11 14:06:47,049 epoch 38 - iter 540/1805 - loss 0.14960769 - samples/sec: 96.68 - lr: 0.100000
2020-09-11 14:07:47,235 epoch 38 - iter 720/1805 - loss 0.15049149 - samples/sec: 95.75 - lr: 0.100000
2020-09-11 14:08:45,740 epoch 38 - iter 900/1805 - loss 0.15008562 - samples/sec: 98.49 - lr: 0.100000
2020-09-11 14:09:43,933 epoch 38 - iter 1080/1805 - loss 0.14923821 - samples/sec: 99.03 - lr: 0.100000
2020-09-11 14:10:42,389 epoch 38 - iter 1260/1805 - loss 0.15251394 - samples/sec: 98.58 - lr: 0.100000
2020-09-11 14:11:41,054 epoch 38 - iter 1440/1805 - loss 0.15452933 - samples/sec: 98.23 - lr: 0.100000
2020-09-11 14:12:40,328 epoch 38 - iter 1620/1805 - loss 0.15624143 - samples/sec: 97.22 - lr: 0.100000
2020-09-11 14:13:38,743 epoch 38 - iter 1800/1805 - loss 0.15612174 - samples/sec: 98.65 - lr: 0.100000
2020-09-11 14:13:40,490 ----------------------------------------------------------------------------------------------------
2020-09-11 14:13:40,490 EPOCH 38 done: loss 0.1560 - lr 0.1000000
2020-09-11 14:13:40,490 BAD EPOCHS (no improvement): 0
2020-09-11 14:13:40,493 ----------------------------------------------------------------------------------------------------
2020-09-11 14:14:38,866 epoch 39 - iter 180/1805 - loss 0.15541240 - samples/sec: 98.72 - lr: 0.100000
2020-09-11 14:15:38,232 epoch 39 - iter 360/1805 - loss 0.15034615 - samples/sec: 97.07 - lr: 0.100000
2020-09-11 14:16:36,436 epoch 39 - iter 540/1805 - loss 0.15055561 - samples/sec: 99.01 - lr: 0.100000
2020-09-11 14:17:35,855 epoch 39 - iter 720/1805 - loss 0.15352678 - samples/sec: 96.98 - lr: 0.100000
2020-09-11 14:18:34,836 epoch 39 - iter 900/1805 - loss 0.15257672 - samples/sec: 97.70 - lr: 0.100000
2020-09-11 14:19:32,944 epoch 39 - iter 1080/1805 - loss 0.15444624 - samples/sec: 99.17 - lr: 0.100000
2020-09-11 14:20:31,654 epoch 39 - iter 1260/1805 - loss 0.15549069 - samples/sec: 98.15 - lr: 0.100000
2020-09-11 14:21:30,439 epoch 39 - iter 1440/1805 - loss 0.15778312 - samples/sec: 98.03 - lr: 0.100000
2020-09-11 14:22:29,031 epoch 39 - iter 1620/1805 - loss 0.15489836 - samples/sec: 98.35 - lr: 0.100000
2020-09-11 14:23:29,064 epoch 39 - iter 1800/1805 - loss 0.15395362 - samples/sec: 95.99 - lr: 0.100000
2020-09-11 14:23:30,528 ----------------------------------------------------------------------------------------------------
2020-09-11 14:23:30,528 EPOCH 39 done: loss 0.1540 - lr 0.1000000
2020-09-11 14:23:30,528 BAD EPOCHS (no improvement): 0
2020-09-11 14:23:30,536 ----------------------------------------------------------------------------------------------------
2020-09-11 14:24:29,533 epoch 40 - iter 180/1805 - loss 0.12320065 - samples/sec: 97.68 - lr: 0.100000
2020-09-11 14:25:27,957 epoch 40 - iter 360/1805 - loss 0.14193892 - samples/sec: 98.63 - lr: 0.100000
2020-09-11 14:26:27,077 epoch 40 - iter 540/1805 - loss 0.14715711 - samples/sec: 97.47 - lr: 0.100000
2020-09-11 14:27:26,254 epoch 40 - iter 720/1805 - loss 0.14982131 - samples/sec: 97.38 - lr: 0.100000
2020-09-11 14:28:24,853 epoch 40 - iter 900/1805 - loss 0.15334859 - samples/sec: 98.34 - lr: 0.100000
2020-09-11 14:29:24,095 epoch 40 - iter 1080/1805 - loss 0.15755430 - samples/sec: 97.27 - lr: 0.100000
2020-09-11 14:30:23,560 epoch 40 - iter 1260/1805 - loss 0.15603155 - samples/sec: 96.91 - lr: 0.100000
2020-09-11 14:31:22,497 epoch 40 - iter 1440/1805 - loss 0.15432469 - samples/sec: 97.77 - lr: 0.100000
2020-09-11 14:32:21,033 epoch 40 - iter 1620/1805 - loss 0.15428819 - samples/sec: 98.44 - lr: 0.100000
2020-09-11 14:33:34,375 epoch 40 - iter 1800/1805 - loss 0.15319757 - samples/sec: 78.57 - lr: 0.100000
2020-09-11 14:33:36,358 ----------------------------------------------------------------------------------------------------
2020-09-11 14:33:36,359 EPOCH 40 done: loss 0.1530 - lr 0.1000000
2020-09-11 14:33:36,359 BAD EPOCHS (no improvement): 0
2020-09-11 14:33:36,367 ----------------------------------------------------------------------------------------------------
2020-09-11 14:34:51,713 epoch 41 - iter 180/1805 - loss 0.13878182 - samples/sec: 76.48 - lr: 0.100000
2020-09-11 14:35:51,105 epoch 41 - iter 360/1805 - loss 0.13852019 - samples/sec: 97.03 - lr: 0.100000
2020-09-11 14:36:58,187 epoch 41 - iter 540/1805 - loss 0.14558141 - samples/sec: 85.90 - lr: 0.100000
2020-09-11 14:37:57,613 epoch 41 - iter 720/1805 - loss 0.14550122 - samples/sec: 96.97 - lr: 0.100000
2020-09-11 14:38:55,602 epoch 41 - iter 900/1805 - loss 0.14559771 - samples/sec: 99.37 - lr: 0.100000
2020-09-11 14:39:53,975 epoch 41 - iter 1080/1805 - loss 0.14562395 - samples/sec: 98.72 - lr: 0.100000
2020-09-11 14:40:53,409 epoch 41 - iter 1260/1805 - loss 0.14634450 - samples/sec: 96.96 - lr: 0.100000
2020-09-11 14:41:51,873 epoch 41 - iter 1440/1805 - loss 0.14617845 - samples/sec: 98.57 - lr: 0.100000
2020-09-11 14:42:50,576 epoch 41 - iter 1620/1805 - loss 0.14839176 - samples/sec: 98.16 - lr: 0.100000
2020-09-11 14:43:49,468 epoch 41 - iter 1800/1805 - loss 0.14802056 - samples/sec: 97.85 - lr: 0.100000
2020-09-11 14:43:51,192 ----------------------------------------------------------------------------------------------------
2020-09-11 14:43:51,192 EPOCH 41 done: loss 0.1478 - lr 0.1000000
2020-09-11 14:43:51,192 BAD EPOCHS (no improvement): 0
2020-09-11 14:43:51,198 ----------------------------------------------------------------------------------------------------
2020-09-11 14:44:50,410 epoch 42 - iter 180/1805 - loss 0.14447144 - samples/sec: 97.32 - lr: 0.100000
2020-09-11 14:45:49,013 epoch 42 - iter 360/1805 - loss 0.14478341 - samples/sec: 98.33 - lr: 0.100000
2020-09-11 14:46:48,468 epoch 42 - iter 540/1805 - loss 0.14868177 - samples/sec: 96.92 - lr: 0.100000
2020-09-11 14:47:47,778 epoch 42 - iter 720/1805 - loss 0.14767281 - samples/sec: 97.16 - lr: 0.100000
2020-09-11 14:48:45,320 epoch 42 - iter 900/1805 - loss 0.14488951 - samples/sec: 100.15 - lr: 0.100000
2020-09-11 14:49:43,552 epoch 42 - iter 1080/1805 - loss 0.14851106 - samples/sec: 98.96 - lr: 0.100000
2020-09-11 14:50:44,074 epoch 42 - iter 1260/1805 - loss 0.14804499 - samples/sec: 95.21 - lr: 0.100000
2020-09-11 14:51:42,692 epoch 42 - iter 1440/1805 - loss 0.15022612 - samples/sec: 98.31 - lr: 0.100000
2020-09-11 14:52:41,398 epoch 42 - iter 1620/1805 - loss 0.14918284 - samples/sec: 98.16 - lr: 0.100000
2020-09-11 14:53:40,793 epoch 42 - iter 1800/1805 - loss 0.14972274 - samples/sec: 97.02 - lr: 0.100000
2020-09-11 14:53:42,371 ----------------------------------------------------------------------------------------------------
2020-09-11 14:53:42,372 EPOCH 42 done: loss 0.1498 - lr 0.1000000
2020-09-11 14:53:42,372 BAD EPOCHS (no improvement): 1
2020-09-11 14:53:42,379 ----------------------------------------------------------------------------------------------------
2020-09-11 14:54:41,512 epoch 43 - iter 180/1805 - loss 0.14524647 - samples/sec: 97.45 - lr: 0.100000
2020-09-11 14:55:40,838 epoch 43 - iter 360/1805 - loss 0.14795541 - samples/sec: 97.13 - lr: 0.100000
2020-09-11 14:56:39,387 epoch 43 - iter 540/1805 - loss 0.14451359 - samples/sec: 98.42 - lr: 0.100000
2020-09-11 14:57:37,964 epoch 43 - iter 720/1805 - loss 0.14288135 - samples/sec: 98.38 - lr: 0.100000
2020-09-11 14:58:36,490 epoch 43 - iter 900/1805 - loss 0.14221618 - samples/sec: 98.46 - lr: 0.100000
2020-09-11 14:59:35,456 epoch 43 - iter 1080/1805 - loss 0.14234769 - samples/sec: 97.73 - lr: 0.100000
2020-09-11 15:00:34,940 epoch 43 - iter 1260/1805 - loss 0.13962896 - samples/sec: 96.88 - lr: 0.100000
2020-09-11 15:01:53,712 epoch 43 - iter 1440/1805 - loss 0.13906031 - samples/sec: 73.15 - lr: 0.100000
2020-09-11 15:03:14,004 epoch 43 - iter 1620/1805 - loss 0.13930561 - samples/sec: 71.76 - lr: 0.100000
2020-09-11 15:04:36,052 epoch 43 - iter 1800/1805 - loss 0.14165723 - samples/sec: 70.23 - lr: 0.100000
2020-09-11 15:04:38,327 ----------------------------------------------------------------------------------------------------
2020-09-11 15:04:38,328 EPOCH 43 done: loss 0.1419 - lr 0.1000000
2020-09-11 15:04:38,328 BAD EPOCHS (no improvement): 0
2020-09-11 15:04:38,336 ----------------------------------------------------------------------------------------------------
2020-09-11 15:05:53,803 epoch 44 - iter 180/1805 - loss 0.13715636 - samples/sec: 76.35 - lr: 0.100000
2020-09-11 15:06:57,234 epoch 44 - iter 360/1805 - loss 0.13796092 - samples/sec: 90.84 - lr: 0.100000
2020-09-11 15:08:00,268 epoch 44 - iter 540/1805 - loss 0.13884158 - samples/sec: 91.42 - lr: 0.100000
2020-09-11 15:09:03,390 epoch 44 - iter 720/1805 - loss 0.13921206 - samples/sec: 91.29 - lr: 0.100000
2020-09-11 15:10:06,753 epoch 44 - iter 900/1805 - loss 0.13834905 - samples/sec: 90.94 - lr: 0.100000
2020-09-11 15:11:10,265 epoch 44 - iter 1080/1805 - loss 0.14080805 - samples/sec: 90.73 - lr: 0.100000
2020-09-11 15:12:12,285 epoch 44 - iter 1260/1805 - loss 0.14096680 - samples/sec: 92.91 - lr: 0.100000
2020-09-11 15:13:16,181 epoch 44 - iter 1440/1805 - loss 0.14189345 - samples/sec: 90.18 - lr: 0.100000
2020-09-11 15:14:19,133 epoch 44 - iter 1620/1805 - loss 0.14261377 - samples/sec: 91.54 - lr: 0.100000
2020-09-11 15:15:21,414 epoch 44 - iter 1800/1805 - loss 0.14282525 - samples/sec: 92.52 - lr: 0.100000
2020-09-11 15:15:23,122 ----------------------------------------------------------------------------------------------------
2020-09-11 15:15:23,122 EPOCH 44 done: loss 0.1427 - lr 0.1000000
2020-09-11 15:15:23,122 BAD EPOCHS (no improvement): 1
2020-09-11 15:15:23,128 ----------------------------------------------------------------------------------------------------
2020-09-11 15:16:25,405 epoch 45 - iter 180/1805 - loss 0.11770502 - samples/sec: 92.53 - lr: 0.100000
2020-09-11 15:17:29,164 epoch 45 - iter 360/1805 - loss 0.12747732 - samples/sec: 90.38 - lr: 0.100000
2020-09-11 15:18:31,976 epoch 45 - iter 540/1805 - loss 0.12682667 - samples/sec: 91.74 - lr: 0.100000
2020-09-11 15:19:35,102 epoch 45 - iter 720/1805 - loss 0.13022506 - samples/sec: 91.28 - lr: 0.100000
2020-09-11 15:20:37,919 epoch 45 - iter 900/1805 - loss 0.13447278 - samples/sec: 91.73 - lr: 0.100000
2020-09-11 15:21:44,159 epoch 45 - iter 1080/1805 - loss 0.13623234 - samples/sec: 86.99 - lr: 0.100000
2020-09-11 15:22:52,273 epoch 45 - iter 1260/1805 - loss 0.13896199 - samples/sec: 84.60 - lr: 0.100000
2020-09-11 15:24:01,303 epoch 45 - iter 1440/1805 - loss 0.13978081 - samples/sec: 83.47 - lr: 0.100000
2020-09-11 15:25:08,767 epoch 45 - iter 1620/1805 - loss 0.13846284 - samples/sec: 85.41 - lr: 0.100000
2020-09-11 15:26:16,926 epoch 45 - iter 1800/1805 - loss 0.14001316 - samples/sec: 84.54 - lr: 0.100000
2020-09-11 15:26:18,936 ----------------------------------------------------------------------------------------------------
2020-09-11 15:26:18,937 EPOCH 45 done: loss 0.1399 - lr 0.1000000
2020-09-11 15:26:18,937 BAD EPOCHS (no improvement): 0
2020-09-11 15:26:18,943 ----------------------------------------------------------------------------------------------------
2020-09-11 15:27:27,188 epoch 46 - iter 180/1805 - loss 0.11631014 - samples/sec: 84.44 - lr: 0.100000
2020-09-11 15:28:34,457 epoch 46 - iter 360/1805 - loss 0.12322778 - samples/sec: 85.66 - lr: 0.100000
2020-09-11 15:29:43,338 epoch 46 - iter 540/1805 - loss 0.12356783 - samples/sec: 83.65 - lr: 0.100000
2020-09-11 15:30:47,557 epoch 46 - iter 720/1805 - loss 0.12662692 - samples/sec: 89.73 - lr: 0.100000
2020-09-11 15:31:50,752 epoch 46 - iter 900/1805 - loss 0.12783460 - samples/sec: 91.18 - lr: 0.100000
2020-09-11 15:32:53,291 epoch 46 - iter 1080/1805 - loss 0.13060732 - samples/sec: 92.14 - lr: 0.100000
2020-09-11 15:34:03,632 epoch 46 - iter 1260/1805 - loss 0.13368285 - samples/sec: 81.92 - lr: 0.100000
2020-09-11 15:35:06,784 epoch 46 - iter 1440/1805 - loss 0.13675701 - samples/sec: 91.24 - lr: 0.100000
2020-09-11 15:36:09,515 epoch 46 - iter 1620/1805 - loss 0.13812287 - samples/sec: 91.86 - lr: 0.100000
2020-09-11 15:37:12,361 epoch 46 - iter 1800/1805 - loss 0.13997989 - samples/sec: 91.69 - lr: 0.100000
2020-09-11 15:37:14,140 ----------------------------------------------------------------------------------------------------
2020-09-11 15:37:14,141 EPOCH 46 done: loss 0.1398 - lr 0.1000000
2020-09-11 15:37:14,141 BAD EPOCHS (no improvement): 0
2020-09-11 15:37:14,150 ----------------------------------------------------------------------------------------------------
2020-09-11 15:38:17,316 epoch 47 - iter 180/1805 - loss 0.14258212 - samples/sec: 91.23 - lr: 0.100000
2020-09-11 15:39:20,515 epoch 47 - iter 360/1805 - loss 0.13749977 - samples/sec: 91.18 - lr: 0.100000
2020-09-11 15:40:22,979 epoch 47 - iter 540/1805 - loss 0.13687297 - samples/sec: 92.25 - lr: 0.100000
2020-09-11 15:41:25,280 epoch 47 - iter 720/1805 - loss 0.13420628 - samples/sec: 92.49 - lr: 0.100000
2020-09-11 15:42:28,588 epoch 47 - iter 900/1805 - loss 0.13786438 - samples/sec: 91.02 - lr: 0.100000
2020-09-11 15:43:31,093 epoch 47 - iter 1080/1805 - loss 0.13688934 - samples/sec: 92.19 - lr: 0.100000
2020-09-11 15:44:33,842 epoch 47 - iter 1260/1805 - loss 0.13697220 - samples/sec: 91.83 - lr: 0.100000
2020-09-11 15:45:36,566 epoch 47 - iter 1440/1805 - loss 0.13784795 - samples/sec: 91.87 - lr: 0.100000
2020-09-11 15:46:40,356 epoch 47 - iter 1620/1805 - loss 0.13794637 - samples/sec: 90.33 - lr: 0.100000
2020-09-11 15:47:43,165 epoch 47 - iter 1800/1805 - loss 0.13677276 - samples/sec: 91.74 - lr: 0.100000
2020-09-11 15:47:44,940 ----------------------------------------------------------------------------------------------------
2020-09-11 15:47:44,940 EPOCH 47 done: loss 0.1370 - lr 0.1000000
2020-09-11 15:47:44,940 BAD EPOCHS (no improvement): 0
2020-09-11 15:47:44,946 ----------------------------------------------------------------------------------------------------
2020-09-11 15:48:48,786 epoch 48 - iter 180/1805 - loss 0.13791724 - samples/sec: 90.26 - lr: 0.100000
2020-09-11 15:49:51,616 epoch 48 - iter 360/1805 - loss 0.13582742 - samples/sec: 91.71 - lr: 0.100000
2020-09-11 15:50:54,861 epoch 48 - iter 540/1805 - loss 0.13298219 - samples/sec: 91.11 - lr: 0.100000
2020-09-11 15:51:57,147 epoch 48 - iter 720/1805 - loss 0.13124437 - samples/sec: 92.51 - lr: 0.100000
2020-09-11 15:53:00,133 epoch 48 - iter 900/1805 - loss 0.12979115 - samples/sec: 91.48 - lr: 0.100000
2020-09-11 15:54:02,142 epoch 48 - iter 1080/1805 - loss 0.13215149 - samples/sec: 92.92 - lr: 0.100000
2020-09-11 15:55:04,777 epoch 48 - iter 1260/1805 - loss 0.13274186 - samples/sec: 92.00 - lr: 0.100000
2020-09-11 15:56:08,353 epoch 48 - iter 1440/1805 - loss 0.13236551 - samples/sec: 90.64 - lr: 0.100000
2020-09-11 15:57:11,490 epoch 48 - iter 1620/1805 - loss 0.13314943 - samples/sec: 91.27 - lr: 0.100000
2020-09-11 15:58:16,437 epoch 48 - iter 1800/1805 - loss 0.13544347 - samples/sec: 88.72 - lr: 0.100000
2020-09-11 15:58:18,711 ----------------------------------------------------------------------------------------------------
2020-09-11 15:58:18,711 EPOCH 48 done: loss 0.1353 - lr 0.1000000
2020-09-11 15:58:18,711 BAD EPOCHS (no improvement): 0
2020-09-11 15:58:18,718 ----------------------------------------------------------------------------------------------------
2020-09-11 15:59:39,964 epoch 49 - iter 180/1805 - loss 0.15419807 - samples/sec: 70.92 - lr: 0.100000
2020-09-11 16:00:48,048 epoch 49 - iter 360/1805 - loss 0.14939743 - samples/sec: 84.63 - lr: 0.100000
2020-09-11 16:01:51,887 epoch 49 - iter 540/1805 - loss 0.14686131 - samples/sec: 90.26 - lr: 0.100000
2020-09-11 16:02:55,596 epoch 49 - iter 720/1805 - loss 0.14465106 - samples/sec: 90.45 - lr: 0.100000
2020-09-11 16:03:58,490 epoch 49 - iter 900/1805 - loss 0.14190126 - samples/sec: 91.62 - lr: 0.100000
2020-09-11 16:05:01,615 epoch 49 - iter 1080/1805 - loss 0.13775987 - samples/sec: 91.28 - lr: 0.100000
2020-09-11 16:06:03,087 epoch 49 - iter 1260/1805 - loss 0.13763442 - samples/sec: 93.74 - lr: 0.100000
2020-09-11 16:07:06,596 epoch 49 - iter 1440/1805 - loss 0.13623964 - samples/sec: 90.73 - lr: 0.100000
2020-09-11 16:08:09,088 epoch 49 - iter 1620/1805 - loss 0.13668365 - samples/sec: 92.21 - lr: 0.100000
2020-09-11 16:09:11,878 epoch 49 - iter 1800/1805 - loss 0.13725237 - samples/sec: 91.77 - lr: 0.100000
2020-09-11 16:09:13,673 ----------------------------------------------------------------------------------------------------
2020-09-11 16:09:13,673 EPOCH 49 done: loss 0.1371 - lr 0.1000000
2020-09-11 16:09:13,673 BAD EPOCHS (no improvement): 1
2020-09-11 16:09:13,679 ----------------------------------------------------------------------------------------------------
2020-09-11 16:10:17,346 epoch 50 - iter 180/1805 - loss 0.13056804 - samples/sec: 90.51 - lr: 0.100000
2020-09-11 16:11:20,182 epoch 50 - iter 360/1805 - loss 0.13318113 - samples/sec: 91.70 - lr: 0.100000
2020-09-11 16:12:22,264 epoch 50 - iter 540/1805 - loss 0.12775811 - samples/sec: 92.82 - lr: 0.100000
2020-09-11 16:13:24,912 epoch 50 - iter 720/1805 - loss 0.13029953 - samples/sec: 91.98 - lr: 0.100000
2020-09-11 16:14:29,862 epoch 50 - iter 900/1805 - loss 0.13155055 - samples/sec: 88.72 - lr: 0.100000
2020-09-11 16:15:38,317 epoch 50 - iter 1080/1805 - loss 0.13320210 - samples/sec: 84.17 - lr: 0.100000
2020-09-11 16:16:46,059 epoch 50 - iter 1260/1805 - loss 0.13266761 - samples/sec: 85.06 - lr: 0.100000
2020-09-11 16:17:53,817 epoch 50 - iter 1440/1805 - loss 0.13137960 - samples/sec: 85.04 - lr: 0.100000
2020-09-11 16:19:02,286 epoch 50 - iter 1620/1805 - loss 0.13162422 - samples/sec: 84.16 - lr: 0.100000
2020-09-11 16:20:06,396 epoch 50 - iter 1800/1805 - loss 0.13303761 - samples/sec: 89.88 - lr: 0.100000
2020-09-11 16:20:08,001 ----------------------------------------------------------------------------------------------------
2020-09-11 16:20:08,002 EPOCH 50 done: loss 0.1329 - lr 0.1000000
2020-09-11 16:20:08,002 BAD EPOCHS (no improvement): 0
2020-09-11 16:20:08,010 ----------------------------------------------------------------------------------------------------
2020-09-11 16:21:16,587 epoch 51 - iter 180/1805 - loss 0.13880766 - samples/sec: 84.03 - lr: 0.100000
2020-09-11 16:22:35,688 epoch 51 - iter 360/1805 - loss 0.13190509 - samples/sec: 72.84 - lr: 0.100000
2020-09-11 16:23:55,765 epoch 51 - iter 540/1805 - loss 0.13382734 - samples/sec: 71.95 - lr: 0.100000
2020-09-11 16:25:16,366 epoch 51 - iter 720/1805 - loss 0.13259809 - samples/sec: 71.49 - lr: 0.100000
2020-09-11 16:26:36,781 epoch 51 - iter 900/1805 - loss 0.13309430 - samples/sec: 71.65 - lr: 0.100000
2020-09-11 16:27:57,071 epoch 51 - iter 1080/1805 - loss 0.13032010 - samples/sec: 71.76 - lr: 0.100000
2020-09-11 16:29:17,165 epoch 51 - iter 1260/1805 - loss 0.13047874 - samples/sec: 71.94 - lr: 0.100000
2020-09-11 16:30:37,502 epoch 51 - iter 1440/1805 - loss 0.12913327 - samples/sec: 71.72 - lr: 0.100000
2020-09-11 16:31:58,577 epoch 51 - iter 1620/1805 - loss 0.12994548 - samples/sec: 71.07 - lr: 0.100000
2020-09-11 16:33:26,381 epoch 51 - iter 1800/1805 - loss 0.13045495 - samples/sec: 65.62 - lr: 0.100000
2020-09-11 16:33:28,441 ----------------------------------------------------------------------------------------------------
2020-09-11 16:33:28,441 EPOCH 51 done: loss 0.1303 - lr 0.1000000
2020-09-11 16:33:28,441 BAD EPOCHS (no improvement): 0
2020-09-11 16:33:28,446 ----------------------------------------------------------------------------------------------------
2020-09-11 16:34:48,908 epoch 52 - iter 180/1805 - loss 0.12811172 - samples/sec: 71.61 - lr: 0.100000
2020-09-11 16:36:08,973 epoch 52 - iter 360/1805 - loss 0.12430270 - samples/sec: 71.97 - lr: 0.100000
2020-09-11 16:37:25,748 epoch 52 - iter 540/1805 - loss 0.12478159 - samples/sec: 75.05 - lr: 0.100000
2020-09-11 16:38:30,519 epoch 52 - iter 720/1805 - loss 0.12215993 - samples/sec: 88.96 - lr: 0.100000
2020-09-11 16:39:33,454 epoch 52 - iter 900/1805 - loss 0.12266405 - samples/sec: 91.56 - lr: 0.100000
2020-09-11 16:40:36,458 epoch 52 - iter 1080/1805 - loss 0.12426831 - samples/sec: 91.46 - lr: 0.100000
2020-09-11 16:41:39,862 epoch 52 - iter 1260/1805 - loss 0.12579085 - samples/sec: 90.88 - lr: 0.100000
2020-09-11 16:42:47,951 epoch 52 - iter 1440/1805 - loss 0.12652537 - samples/sec: 84.63 - lr: 0.100000
2020-09-11 16:43:55,703 epoch 52 - iter 1620/1805 - loss 0.12934939 - samples/sec: 85.05 - lr: 0.100000
2020-09-11 16:44:58,443 epoch 52 - iter 1800/1805 - loss 0.12976014 - samples/sec: 91.85 - lr: 0.100000
2020-09-11 16:45:00,044 ----------------------------------------------------------------------------------------------------
2020-09-11 16:45:00,044 EPOCH 52 done: loss 0.1295 - lr 0.1000000
2020-09-11 16:45:00,044 BAD EPOCHS (no improvement): 0
2020-09-11 16:45:00,050 ----------------------------------------------------------------------------------------------------
2020-09-11 16:46:02,662 epoch 53 - iter 180/1805 - loss 0.11938343 - samples/sec: 92.04 - lr: 0.100000
2020-09-11 16:47:06,090 epoch 53 - iter 360/1805 - loss 0.11789459 - samples/sec: 90.85 - lr: 0.100000
2020-09-11 16:48:11,163 epoch 53 - iter 540/1805 - loss 0.12513133 - samples/sec: 88.55 - lr: 0.100000
2020-09-11 16:49:26,202 epoch 53 - iter 720/1805 - loss 0.12304745 - samples/sec: 76.79 - lr: 0.100000
2020-09-11 16:50:35,380 epoch 53 - iter 900/1805 - loss 0.12665757 - samples/sec: 83.29 - lr: 0.100000
2020-09-11 16:51:43,117 epoch 53 - iter 1080/1805 - loss 0.13022471 - samples/sec: 85.07 - lr: 0.100000
2020-09-11 16:52:50,651 epoch 53 - iter 1260/1805 - loss 0.12934079 - samples/sec: 85.32 - lr: 0.100000
2020-09-11 16:53:58,103 epoch 53 - iter 1440/1805 - loss 0.12869097 - samples/sec: 85.43 - lr: 0.100000
2020-09-11 16:55:08,571 epoch 53 - iter 1620/1805 - loss 0.12912370 - samples/sec: 81.77 - lr: 0.100000
2020-09-11 16:56:27,354 epoch 53 - iter 1800/1805 - loss 0.12868451 - samples/sec: 73.13 - lr: 0.100000
2020-09-11 16:56:29,710 ----------------------------------------------------------------------------------------------------
2020-09-11 16:56:29,710 EPOCH 53 done: loss 0.1287 - lr 0.1000000
2020-09-11 16:56:29,710 BAD EPOCHS (no improvement): 0
2020-09-11 16:56:29,716 ----------------------------------------------------------------------------------------------------
2020-09-11 16:57:49,562 epoch 54 - iter 180/1805 - loss 0.11832171 - samples/sec: 72.16 - lr: 0.100000
2020-09-11 16:59:09,234 epoch 54 - iter 360/1805 - loss 0.12016852 - samples/sec: 72.32 - lr: 0.100000
2020-09-11 17:00:15,510 epoch 54 - iter 540/1805 - loss 0.12099496 - samples/sec: 86.94 - lr: 0.100000
2020-09-11 17:01:17,779 epoch 54 - iter 720/1805 - loss 0.12179843 - samples/sec: 92.54 - lr: 0.100000
2020-09-11 17:02:21,591 epoch 54 - iter 900/1805 - loss 0.12170920 - samples/sec: 90.30 - lr: 0.100000
2020-09-11 17:03:24,852 epoch 54 - iter 1080/1805 - loss 0.12452366 - samples/sec: 91.09 - lr: 0.100000
2020-09-11 17:04:26,542 epoch 54 - iter 1260/1805 - loss 0.12572747 - samples/sec: 93.41 - lr: 0.100000
2020-09-11 17:05:25,885 epoch 54 - iter 1440/1805 - loss 0.12559473 - samples/sec: 97.11 - lr: 0.100000
2020-09-11 17:06:26,308 epoch 54 - iter 1620/1805 - loss 0.12404457 - samples/sec: 95.37 - lr: 0.100000
2020-09-11 17:07:26,695 epoch 54 - iter 1800/1805 - loss 0.12465034 - samples/sec: 95.43 - lr: 0.100000
2020-09-11 17:07:28,312 ----------------------------------------------------------------------------------------------------
2020-09-11 17:07:28,312 EPOCH 54 done: loss 0.1248 - lr 0.1000000
2020-09-11 17:07:28,312 BAD EPOCHS (no improvement): 0
2020-09-11 17:07:28,318 ----------------------------------------------------------------------------------------------------
2020-09-11 17:08:28,290 epoch 55 - iter 180/1805 - loss 0.12078841 - samples/sec: 96.09 - lr: 0.100000
2020-09-11 17:09:26,594 epoch 55 - iter 360/1805 - loss 0.12120570 - samples/sec: 98.84 - lr: 0.100000
2020-09-11 17:10:26,041 epoch 55 - iter 540/1805 - loss 0.12082824 - samples/sec: 96.94 - lr: 0.100000
2020-09-11 17:11:25,820 epoch 55 - iter 720/1805 - loss 0.12170589 - samples/sec: 96.40 - lr: 0.100000
2020-09-11 17:12:25,590 epoch 55 - iter 900/1805 - loss 0.12271017 - samples/sec: 96.42 - lr: 0.100000
2020-09-11 17:13:24,372 epoch 55 - iter 1080/1805 - loss 0.12259465 - samples/sec: 98.04 - lr: 0.100000
2020-09-11 17:14:23,341 epoch 55 - iter 1260/1805 - loss 0.12172214 - samples/sec: 97.73 - lr: 0.100000
2020-09-11 17:15:22,711 epoch 55 - iter 1440/1805 - loss 0.12191789 - samples/sec: 97.07 - lr: 0.100000
2020-09-11 17:16:24,081 epoch 55 - iter 1620/1805 - loss 0.12128891 - samples/sec: 93.90 - lr: 0.100000
2020-09-11 17:17:23,743 epoch 55 - iter 1800/1805 - loss 0.12180198 - samples/sec: 96.59 - lr: 0.100000
2020-09-11 17:17:25,531 ----------------------------------------------------------------------------------------------------
2020-09-11 17:17:25,531 EPOCH 55 done: loss 0.1217 - lr 0.1000000
2020-09-11 17:17:25,531 BAD EPOCHS (no improvement): 0
2020-09-11 17:17:25,534 ----------------------------------------------------------------------------------------------------
2020-09-11 17:18:24,227 epoch 56 - iter 180/1805 - loss 0.12357859 - samples/sec: 98.19 - lr: 0.100000
2020-09-11 17:19:24,049 epoch 56 - iter 360/1805 - loss 0.11792736 - samples/sec: 96.33 - lr: 0.100000
2020-09-11 17:20:22,968 epoch 56 - iter 540/1805 - loss 0.12041737 - samples/sec: 97.81 - lr: 0.100000
2020-09-11 17:21:22,617 epoch 56 - iter 720/1805 - loss 0.11901473 - samples/sec: 96.61 - lr: 0.100000
2020-09-11 17:22:22,349 epoch 56 - iter 900/1805 - loss 0.11893724 - samples/sec: 96.48 - lr: 0.100000
2020-09-11 17:23:21,460 epoch 56 - iter 1080/1805 - loss 0.12235036 - samples/sec: 97.49 - lr: 0.100000
2020-09-11 17:24:21,618 epoch 56 - iter 1260/1805 - loss 0.12459632 - samples/sec: 95.79 - lr: 0.100000
2020-09-11 17:25:21,244 epoch 56 - iter 1440/1805 - loss 0.12445506 - samples/sec: 96.65 - lr: 0.100000
2020-09-11 17:26:20,546 epoch 56 - iter 1620/1805 - loss 0.12317346 - samples/sec: 97.18 - lr: 0.100000
2020-09-11 17:27:19,345 epoch 56 - iter 1800/1805 - loss 0.12334675 - samples/sec: 98.01 - lr: 0.100000
2020-09-11 17:27:20,933 ----------------------------------------------------------------------------------------------------
2020-09-11 17:27:20,934 EPOCH 56 done: loss 0.1235 - lr 0.1000000
2020-09-11 17:27:20,934 BAD EPOCHS (no improvement): 1
2020-09-11 17:27:20,940 ----------------------------------------------------------------------------------------------------
2020-09-11 17:28:19,749 epoch 57 - iter 180/1805 - loss 0.11684089 - samples/sec: 97.99 - lr: 0.100000
2020-09-11 17:29:19,325 epoch 57 - iter 360/1805 - loss 0.12069295 - samples/sec: 96.73 - lr: 0.100000
2020-09-11 17:30:27,637 epoch 57 - iter 540/1805 - loss 0.11923550 - samples/sec: 84.36 - lr: 0.100000
2020-09-11 17:31:27,775 epoch 57 - iter 720/1805 - loss 0.12235468 - samples/sec: 95.83 - lr: 0.100000
2020-09-11 17:32:26,465 epoch 57 - iter 900/1805 - loss 0.12100662 - samples/sec: 98.19 - lr: 0.100000
2020-09-11 17:33:25,746 epoch 57 - iter 1080/1805 - loss 0.12179591 - samples/sec: 97.21 - lr: 0.100000
2020-09-11 17:34:24,262 epoch 57 - iter 1260/1805 - loss 0.12170779 - samples/sec: 98.48 - lr: 0.100000
2020-09-11 17:35:23,828 epoch 57 - iter 1440/1805 - loss 0.12328929 - samples/sec: 96.75 - lr: 0.100000
2020-09-11 17:36:23,729 epoch 57 - iter 1620/1805 - loss 0.12089643 - samples/sec: 96.21 - lr: 0.100000
2020-09-11 17:37:23,323 epoch 57 - iter 1800/1805 - loss 0.12126813 - samples/sec: 96.70 - lr: 0.100000
2020-09-11 17:37:25,158 ----------------------------------------------------------------------------------------------------
2020-09-11 17:37:25,158 EPOCH 57 done: loss 0.1216 - lr 0.1000000
2020-09-11 17:37:25,158 BAD EPOCHS (no improvement): 0
2020-09-11 17:37:25,164 ----------------------------------------------------------------------------------------------------
2020-09-11 17:38:24,217 epoch 58 - iter 180/1805 - loss 0.10773212 - samples/sec: 97.59 - lr: 0.100000
2020-09-11 17:39:23,339 epoch 58 - iter 360/1805 - loss 0.11702263 - samples/sec: 97.47 - lr: 0.100000
2020-09-11 17:40:22,729 epoch 58 - iter 540/1805 - loss 0.11361552 - samples/sec: 97.03 - lr: 0.100000
2020-09-11 17:41:22,825 epoch 58 - iter 720/1805 - loss 0.11835605 - samples/sec: 95.89 - lr: 0.100000
2020-09-11 17:42:22,139 epoch 58 - iter 900/1805 - loss 0.12005458 - samples/sec: 97.16 - lr: 0.100000
2020-09-11 17:43:21,574 epoch 58 - iter 1080/1805 - loss 0.11979616 - samples/sec: 96.96 - lr: 0.100000
2020-09-11 17:44:20,631 epoch 58 - iter 1260/1805 - loss 0.12036435 - samples/sec: 97.58 - lr: 0.100000
2020-09-11 17:45:20,797 epoch 58 - iter 1440/1805 - loss 0.12085357 - samples/sec: 95.78 - lr: 0.100000
2020-09-11 17:46:20,615 epoch 58 - iter 1620/1805 - loss 0.12206979 - samples/sec: 96.34 - lr: 0.100000
2020-09-11 17:47:19,573 epoch 58 - iter 1800/1805 - loss 0.11978841 - samples/sec: 97.74 - lr: 0.100000
2020-09-11 17:47:21,359 ----------------------------------------------------------------------------------------------------
2020-09-11 17:47:21,359 EPOCH 58 done: loss 0.1199 - lr 0.1000000
2020-09-11 17:47:21,359 BAD EPOCHS (no improvement): 0
2020-09-11 17:47:21,362 ----------------------------------------------------------------------------------------------------
2020-09-11 17:48:20,948 epoch 59 - iter 180/1805 - loss 0.09601463 - samples/sec: 96.72 - lr: 0.100000
2020-09-11 17:49:20,121 epoch 59 - iter 360/1805 - loss 0.11143224 - samples/sec: 97.39 - lr: 0.100000
2020-09-11 17:50:19,675 epoch 59 - iter 540/1805 - loss 0.11650971 - samples/sec: 96.77 - lr: 0.100000
2020-09-11 17:51:18,852 epoch 59 - iter 720/1805 - loss 0.11563922 - samples/sec: 97.38 - lr: 0.100000
2020-09-11 17:52:18,953 epoch 59 - iter 900/1805 - loss 0.11651681 - samples/sec: 95.88 - lr: 0.100000
2020-09-11 17:53:17,907 epoch 59 - iter 1080/1805 - loss 0.11620042 - samples/sec: 97.75 - lr: 0.100000
2020-09-11 17:54:17,339 epoch 59 - iter 1260/1805 - loss 0.11633688 - samples/sec: 96.96 - lr: 0.100000
2020-09-11 17:55:16,343 epoch 59 - iter 1440/1805 - loss 0.11675384 - samples/sec: 97.67 - lr: 0.100000
2020-09-11 17:56:15,236 epoch 59 - iter 1620/1805 - loss 0.11742534 - samples/sec: 97.85 - lr: 0.100000
2020-09-11 17:57:14,481 epoch 59 - iter 1800/1805 - loss 0.11738461 - samples/sec: 97.27 - lr: 0.100000
2020-09-11 17:57:16,135 ----------------------------------------------------------------------------------------------------
2020-09-11 17:57:16,136 EPOCH 59 done: loss 0.1176 - lr 0.1000000
2020-09-11 17:57:16,136 BAD EPOCHS (no improvement): 0
2020-09-11 17:57:16,142 ----------------------------------------------------------------------------------------------------
2020-09-11 17:58:14,024 epoch 60 - iter 180/1805 - loss 0.08963652 - samples/sec: 99.56 - lr: 0.100000
2020-09-11 17:59:13,549 epoch 60 - iter 360/1805 - loss 0.10831061 - samples/sec: 96.81 - lr: 0.100000
2020-09-11 18:00:13,391 epoch 60 - iter 540/1805 - loss 0.11424394 - samples/sec: 96.30 - lr: 0.100000
2020-09-11 18:01:13,038 epoch 60 - iter 720/1805 - loss 0.11682563 - samples/sec: 96.61 - lr: 0.100000
2020-09-11 18:02:12,478 epoch 60 - iter 900/1805 - loss 0.11631833 - samples/sec: 96.95 - lr: 0.100000
2020-09-11 18:03:11,448 epoch 60 - iter 1080/1805 - loss 0.11761309 - samples/sec: 97.72 - lr: 0.100000
2020-09-11 18:04:10,361 epoch 60 - iter 1260/1805 - loss 0.11841224 - samples/sec: 97.82 - lr: 0.100000
2020-09-11 18:05:10,174 epoch 60 - iter 1440/1805 - loss 0.11789497 - samples/sec: 96.35 - lr: 0.100000
2020-09-11 18:06:08,607 epoch 60 - iter 1620/1805 - loss 0.11866760 - samples/sec: 98.62 - lr: 0.100000
2020-09-11 18:07:08,603 epoch 60 - iter 1800/1805 - loss 0.12083142 - samples/sec: 96.05 - lr: 0.100000
2020-09-11 18:07:10,205 ----------------------------------------------------------------------------------------------------
2020-09-11 18:07:10,206 EPOCH 60 done: loss 0.1208 - lr 0.1000000
2020-09-11 18:07:10,206 BAD EPOCHS (no improvement): 1
2020-09-11 18:07:10,208 ----------------------------------------------------------------------------------------------------
2020-09-11 18:08:09,539 epoch 61 - iter 180/1805 - loss 0.10847982 - samples/sec: 97.13 - lr: 0.100000
2020-09-11 18:09:09,536 epoch 61 - iter 360/1805 - loss 0.10890209 - samples/sec: 96.05 - lr: 0.100000
2020-09-11 18:10:09,386 epoch 61 - iter 540/1805 - loss 0.10724854 - samples/sec: 96.29 - lr: 0.100000
2020-09-11 18:11:08,838 epoch 61 - iter 720/1805 - loss 0.11130394 - samples/sec: 96.93 - lr: 0.100000
2020-09-11 18:12:07,685 epoch 61 - iter 900/1805 - loss 0.11028654 - samples/sec: 97.93 - lr: 0.100000
2020-09-11 18:13:07,004 epoch 61 - iter 1080/1805 - loss 0.11227452 - samples/sec: 97.15 - lr: 0.100000
2020-09-11 18:14:06,218 epoch 61 - iter 1260/1805 - loss 0.11090299 - samples/sec: 97.32 - lr: 0.100000
2020-09-11 18:15:04,911 epoch 61 - iter 1440/1805 - loss 0.11283123 - samples/sec: 98.19 - lr: 0.100000
2020-09-11 18:16:04,130 epoch 61 - iter 1620/1805 - loss 0.11475642 - samples/sec: 97.31 - lr: 0.100000
2020-09-11 18:17:03,324 epoch 61 - iter 1800/1805 - loss 0.11569385 - samples/sec: 97.35 - lr: 0.100000
2020-09-11 18:17:05,040 ----------------------------------------------------------------------------------------------------
2020-09-11 18:17:05,040 EPOCH 61 done: loss 0.1157 - lr 0.1000000
2020-09-11 18:17:05,040 BAD EPOCHS (no improvement): 0
2020-09-11 18:17:05,046 ----------------------------------------------------------------------------------------------------
2020-09-11 18:18:04,988 epoch 62 - iter 180/1805 - loss 0.10622552 - samples/sec: 96.14 - lr: 0.100000
2020-09-11 18:19:03,577 epoch 62 - iter 360/1805 - loss 0.10625469 - samples/sec: 98.36 - lr: 0.100000
2020-09-11 18:20:03,138 epoch 62 - iter 540/1805 - loss 0.10589541 - samples/sec: 96.75 - lr: 0.100000
2020-09-11 18:21:02,427 epoch 62 - iter 720/1805 - loss 0.10952739 - samples/sec: 97.20 - lr: 0.100000
2020-09-11 18:22:01,817 epoch 62 - iter 900/1805 - loss 0.11288615 - samples/sec: 97.03 - lr: 0.100000
2020-09-11 18:23:00,822 epoch 62 - iter 1080/1805 - loss 0.11490100 - samples/sec: 97.67 - lr: 0.100000
2020-09-11 18:24:08,076 epoch 62 - iter 1260/1805 - loss 0.11626575 - samples/sec: 85.68 - lr: 0.100000
2020-09-11 18:25:08,030 epoch 62 - iter 1440/1805 - loss 0.11682528 - samples/sec: 96.12 - lr: 0.100000
2020-09-11 18:26:07,433 epoch 62 - iter 1620/1805 - loss 0.11665880 - samples/sec: 97.01 - lr: 0.100000
2020-09-11 18:27:07,098 epoch 62 - iter 1800/1805 - loss 0.11787426 - samples/sec: 96.59 - lr: 0.100000
2020-09-11 18:27:08,720 ----------------------------------------------------------------------------------------------------
2020-09-11 18:27:08,720 EPOCH 62 done: loss 0.1177 - lr 0.1000000
2020-09-11 18:27:08,720 BAD EPOCHS (no improvement): 1
2020-09-11 18:27:08,726 ----------------------------------------------------------------------------------------------------
2020-09-11 18:28:08,442 epoch 63 - iter 180/1805 - loss 0.11822997 - samples/sec: 96.51 - lr: 0.100000
2020-09-11 18:29:07,070 epoch 63 - iter 360/1805 - loss 0.11666092 - samples/sec: 98.30 - lr: 0.100000
2020-09-11 18:30:05,952 epoch 63 - iter 540/1805 - loss 0.10809708 - samples/sec: 97.87 - lr: 0.100000
2020-09-11 18:31:05,204 epoch 63 - iter 720/1805 - loss 0.11184542 - samples/sec: 97.26 - lr: 0.100000
2020-09-11 18:32:04,053 epoch 63 - iter 900/1805 - loss 0.11136970 - samples/sec: 97.93 - lr: 0.100000
2020-09-11 18:33:03,177 epoch 63 - iter 1080/1805 - loss 0.11231986 - samples/sec: 97.47 - lr: 0.100000
2020-09-11 18:34:02,045 epoch 63 - iter 1260/1805 - loss 0.11172779 - samples/sec: 97.89 - lr: 0.100000
2020-09-11 18:35:01,130 epoch 63 - iter 1440/1805 - loss 0.10979670 - samples/sec: 97.53 - lr: 0.100000
2020-09-11 18:36:00,725 epoch 63 - iter 1620/1805 - loss 0.11171677 - samples/sec: 96.70 - lr: 0.100000
2020-09-11 18:37:00,363 epoch 63 - iter 1800/1805 - loss 0.11210074 - samples/sec: 96.63 - lr: 0.100000
2020-09-11 18:37:01,970 ----------------------------------------------------------------------------------------------------
2020-09-11 18:37:01,970 EPOCH 63 done: loss 0.1122 - lr 0.1000000
2020-09-11 18:37:01,970 BAD EPOCHS (no improvement): 0
2020-09-11 18:37:01,973 ----------------------------------------------------------------------------------------------------
2020-09-11 18:38:01,754 epoch 64 - iter 180/1805 - loss 0.10706259 - samples/sec: 96.40 - lr: 0.100000
2020-09-11 18:39:01,564 epoch 64 - iter 360/1805 - loss 0.11104771 - samples/sec: 96.35 - lr: 0.100000
2020-09-11 18:40:00,101 epoch 64 - iter 540/1805 - loss 0.10709904 - samples/sec: 98.45 - lr: 0.100000
2020-09-11 18:40:59,058 epoch 64 - iter 720/1805 - loss 0.10977315 - samples/sec: 97.75 - lr: 0.100000
2020-09-11 18:41:58,164 epoch 64 - iter 900/1805 - loss 0.10864429 - samples/sec: 97.50 - lr: 0.100000
2020-09-11 18:42:57,865 epoch 64 - iter 1080/1805 - loss 0.10678112 - samples/sec: 96.53 - lr: 0.100000
2020-09-11 18:43:57,261 epoch 64 - iter 1260/1805 - loss 0.10868114 - samples/sec: 97.02 - lr: 0.100000
2020-09-11 18:44:55,985 epoch 64 - iter 1440/1805 - loss 0.10952570 - samples/sec: 98.13 - lr: 0.100000
2020-09-11 18:45:56,062 epoch 64 - iter 1620/1805 - loss 0.10900732 - samples/sec: 95.92 - lr: 0.100000
2020-09-11 18:46:55,003 epoch 64 - iter 1800/1805 - loss 0.10951018 - samples/sec: 97.77 - lr: 0.100000
2020-09-11 18:46:56,518 ----------------------------------------------------------------------------------------------------
2020-09-11 18:46:56,518 EPOCH 64 done: loss 0.1097 - lr 0.1000000
2020-09-11 18:46:56,518 BAD EPOCHS (no improvement): 0
2020-09-11 18:46:56,524 ----------------------------------------------------------------------------------------------------
2020-09-11 18:47:58,055 epoch 65 - iter 180/1805 - loss 0.10989446 - samples/sec: 93.65 - lr: 0.100000
2020-09-11 18:49:00,040 epoch 65 - iter 360/1805 - loss 0.11333995 - samples/sec: 92.96 - lr: 0.100000
2020-09-11 18:50:03,475 epoch 65 - iter 540/1805 - loss 0.11582930 - samples/sec: 90.84 - lr: 0.100000
2020-09-11 18:51:05,552 epoch 65 - iter 720/1805 - loss 0.11285423 - samples/sec: 92.82 - lr: 0.100000
2020-09-11 18:52:06,911 epoch 65 - iter 900/1805 - loss 0.11394518 - samples/sec: 93.91 - lr: 0.100000
2020-09-11 18:53:09,659 epoch 65 - iter 1080/1805 - loss 0.11183967 - samples/sec: 91.83 - lr: 0.100000
2020-09-11 18:54:12,923 epoch 65 - iter 1260/1805 - loss 0.11002374 - samples/sec: 91.08 - lr: 0.100000
2020-09-11 18:55:15,927 epoch 65 - iter 1440/1805 - loss 0.11155337 - samples/sec: 91.46 - lr: 0.100000
2020-09-11 18:56:16,734 epoch 65 - iter 1620/1805 - loss 0.11140975 - samples/sec: 94.76 - lr: 0.100000
2020-09-11 18:57:18,596 epoch 65 - iter 1800/1805 - loss 0.11147737 - samples/sec: 93.14 - lr: 0.100000
2020-09-11 18:57:20,117 ----------------------------------------------------------------------------------------------------
2020-09-11 18:57:20,118 EPOCH 65 done: loss 0.1113 - lr 0.1000000
2020-09-11 18:57:20,118 BAD EPOCHS (no improvement): 1
2020-09-11 18:57:20,124 ----------------------------------------------------------------------------------------------------
2020-09-11 18:58:23,124 epoch 66 - iter 180/1805 - loss 0.10680324 - samples/sec: 91.46 - lr: 0.100000
2020-09-11 18:59:25,061 epoch 66 - iter 360/1805 - loss 0.10347704 - samples/sec: 93.03 - lr: 0.100000
2020-09-11 19:00:27,095 epoch 66 - iter 540/1805 - loss 0.10117690 - samples/sec: 92.89 - lr: 0.100000
2020-09-11 19:01:28,425 epoch 66 - iter 720/1805 - loss 0.10326129 - samples/sec: 93.95 - lr: 0.100000
2020-09-11 19:02:31,218 epoch 66 - iter 900/1805 - loss 0.10294158 - samples/sec: 91.76 - lr: 0.100000
2020-09-11 19:03:34,003 epoch 66 - iter 1080/1805 - loss 0.10435950 - samples/sec: 91.78 - lr: 0.100000
2020-09-11 19:04:39,531 epoch 66 - iter 1260/1805 - loss 0.10437157 - samples/sec: 87.93 - lr: 0.100000
2020-09-11 19:05:44,332 epoch 66 - iter 1440/1805 - loss 0.10671938 - samples/sec: 88.92 - lr: 0.100000
2020-09-11 19:06:45,873 epoch 66 - iter 1620/1805 - loss 0.10923442 - samples/sec: 93.63 - lr: 0.100000
2020-09-11 19:07:47,938 epoch 66 - iter 1800/1805 - loss 0.10843591 - samples/sec: 92.84 - lr: 0.100000
2020-09-11 19:07:49,618 ----------------------------------------------------------------------------------------------------
2020-09-11 19:07:49,618 EPOCH 66 done: loss 0.1083 - lr 0.1000000
2020-09-11 19:07:49,619 BAD EPOCHS (no improvement): 0
2020-09-11 19:07:49,626 ----------------------------------------------------------------------------------------------------
2020-09-11 19:08:51,055 epoch 67 - iter 180/1805 - loss 0.11569638 - samples/sec: 93.80 - lr: 0.100000
2020-09-11 19:09:53,603 epoch 67 - iter 360/1805 - loss 0.10491685 - samples/sec: 92.12 - lr: 0.100000
2020-09-11 19:10:55,820 epoch 67 - iter 540/1805 - loss 0.10850766 - samples/sec: 92.61 - lr: 0.100000
2020-09-11 19:11:58,487 epoch 67 - iter 720/1805 - loss 0.10890031 - samples/sec: 91.95 - lr: 0.100000
2020-09-11 19:13:16,365 epoch 67 - iter 900/1805 - loss 0.10810726 - samples/sec: 73.98 - lr: 0.100000
2020-09-11 19:14:30,405 epoch 67 - iter 1080/1805 - loss 0.10734685 - samples/sec: 77.82 - lr: 0.100000
2020-09-11 19:15:32,899 epoch 67 - iter 1260/1805 - loss 0.10694051 - samples/sec: 92.20 - lr: 0.100000
2020-09-11 19:16:35,946 epoch 67 - iter 1440/1805 - loss 0.10640839 - samples/sec: 91.39 - lr: 0.100000
2020-09-11 19:17:39,219 epoch 67 - iter 1620/1805 - loss 0.10632543 - samples/sec: 91.07 - lr: 0.100000
2020-09-11 19:18:48,627 epoch 67 - iter 1800/1805 - loss 0.10553047 - samples/sec: 83.01 - lr: 0.100000
2020-09-11 19:18:50,226 ----------------------------------------------------------------------------------------------------
2020-09-11 19:18:50,227 EPOCH 67 done: loss 0.1055 - lr 0.1000000
2020-09-11 19:18:50,227 BAD EPOCHS (no improvement): 0
2020-09-11 19:18:50,233 ----------------------------------------------------------------------------------------------------
2020-09-11 19:19:52,402 epoch 68 - iter 180/1805 - loss 0.10473348 - samples/sec: 92.69 - lr: 0.100000
2020-09-11 19:20:54,978 epoch 68 - iter 360/1805 - loss 0.11506265 - samples/sec: 92.08 - lr: 0.100000
2020-09-11 19:21:57,277 epoch 68 - iter 540/1805 - loss 0.11006727 - samples/sec: 92.49 - lr: 0.100000
2020-09-11 19:23:00,651 epoch 68 - iter 720/1805 - loss 0.10757560 - samples/sec: 90.92 - lr: 0.100000
2020-09-11 19:24:02,742 epoch 68 - iter 900/1805 - loss 0.10951667 - samples/sec: 92.80 - lr: 0.100000
2020-09-11 19:25:04,227 epoch 68 - iter 1080/1805 - loss 0.10771972 - samples/sec: 93.72 - lr: 0.100000
2020-09-11 19:26:06,242 epoch 68 - iter 1260/1805 - loss 0.10825406 - samples/sec: 92.91 - lr: 0.100000
2020-09-11 19:27:09,421 epoch 68 - iter 1440/1805 - loss 0.10765710 - samples/sec: 91.20 - lr: 0.100000
2020-09-11 19:28:12,282 epoch 68 - iter 1620/1805 - loss 0.10590441 - samples/sec: 91.66 - lr: 0.100000
2020-09-11 19:29:13,510 epoch 68 - iter 1800/1805 - loss 0.10851444 - samples/sec: 94.11 - lr: 0.100000
2020-09-11 19:29:15,175 ----------------------------------------------------------------------------------------------------
2020-09-11 19:29:15,176 EPOCH 68 done: loss 0.1084 - lr 0.1000000
2020-09-11 19:29:15,176 BAD EPOCHS (no improvement): 1
2020-09-11 19:29:15,182 ----------------------------------------------------------------------------------------------------
2020-09-11 19:30:16,821 epoch 69 - iter 180/1805 - loss 0.09957602 - samples/sec: 93.48 - lr: 0.100000
2020-09-11 19:31:18,966 epoch 69 - iter 360/1805 - loss 0.10299353 - samples/sec: 92.72 - lr: 0.100000
2020-09-11 19:32:20,737 epoch 69 - iter 540/1805 - loss 0.10487355 - samples/sec: 93.28 - lr: 0.100000
2020-09-11 19:33:22,961 epoch 69 - iter 720/1805 - loss 0.10440419 - samples/sec: 92.60 - lr: 0.100000
2020-09-11 19:34:25,067 epoch 69 - iter 900/1805 - loss 0.10563448 - samples/sec: 92.78 - lr: 0.100000
2020-09-11 19:35:27,148 epoch 69 - iter 1080/1805 - loss 0.10564274 - samples/sec: 92.82 - lr: 0.100000
2020-09-11 19:36:30,072 epoch 69 - iter 1260/1805 - loss 0.10531935 - samples/sec: 91.57 - lr: 0.100000
2020-09-11 19:37:32,249 epoch 69 - iter 1440/1805 - loss 0.10450741 - samples/sec: 92.67 - lr: 0.100000
2020-09-11 19:38:34,147 epoch 69 - iter 1620/1805 - loss 0.10369849 - samples/sec: 93.09 - lr: 0.100000
2020-09-11 19:39:37,114 epoch 69 - iter 1800/1805 - loss 0.10448619 - samples/sec: 91.51 - lr: 0.100000
2020-09-11 19:39:38,779 ----------------------------------------------------------------------------------------------------
2020-09-11 19:39:38,779 EPOCH 69 done: loss 0.1049 - lr 0.1000000
2020-09-11 19:39:38,779 BAD EPOCHS (no improvement): 0
2020-09-11 19:39:38,785 ----------------------------------------------------------------------------------------------------
2020-09-11 19:40:41,117 epoch 70 - iter 180/1805 - loss 0.11221356 - samples/sec: 92.44 - lr: 0.100000
2020-09-11 19:41:43,388 epoch 70 - iter 360/1805 - loss 0.10737500 - samples/sec: 92.53 - lr: 0.100000
2020-09-11 19:42:45,762 epoch 70 - iter 540/1805 - loss 0.10581093 - samples/sec: 92.38 - lr: 0.100000
2020-09-11 19:43:48,082 epoch 70 - iter 720/1805 - loss 0.10786757 - samples/sec: 92.46 - lr: 0.100000
2020-09-11 19:44:50,444 epoch 70 - iter 900/1805 - loss 0.10899941 - samples/sec: 92.40 - lr: 0.100000
2020-09-11 19:45:53,118 epoch 70 - iter 1080/1805 - loss 0.10882573 - samples/sec: 91.94 - lr: 0.100000
2020-09-11 19:46:54,687 epoch 70 - iter 1260/1805 - loss 0.10703786 - samples/sec: 93.59 - lr: 0.100000
2020-09-11 19:47:56,910 epoch 70 - iter 1440/1805 - loss 0.10820930 - samples/sec: 92.60 - lr: 0.100000
2020-09-11 19:48:59,879 epoch 70 - iter 1620/1805 - loss 0.10828156 - samples/sec: 91.51 - lr: 0.100000
2020-09-11 19:50:02,275 epoch 70 - iter 1800/1805 - loss 0.10706856 - samples/sec: 92.35 - lr: 0.100000
2020-09-11 19:50:04,049 ----------------------------------------------------------------------------------------------------
2020-09-11 19:50:04,049 EPOCH 70 done: loss 0.1071 - lr 0.1000000
2020-09-11 19:50:04,049 BAD EPOCHS (no improvement): 1
2020-09-11 19:50:04,055 ----------------------------------------------------------------------------------------------------
2020-09-11 19:51:05,569 epoch 71 - iter 180/1805 - loss 0.10123996 - samples/sec: 93.67 - lr: 0.100000
2020-09-11 19:52:08,162 epoch 71 - iter 360/1805 - loss 0.10038266 - samples/sec: 92.06 - lr: 0.100000
2020-09-11 19:53:11,169 epoch 71 - iter 540/1805 - loss 0.10524944 - samples/sec: 91.45 - lr: 0.100000
2020-09-11 19:54:13,444 epoch 71 - iter 720/1805 - loss 0.10552469 - samples/sec: 92.53 - lr: 0.100000
2020-09-11 19:55:14,588 epoch 71 - iter 900/1805 - loss 0.10544023 - samples/sec: 94.24 - lr: 0.100000
2020-09-11 19:56:16,279 epoch 71 - iter 1080/1805 - loss 0.10486678 - samples/sec: 93.40 - lr: 0.100000
2020-09-11 19:57:18,586 epoch 71 - iter 1260/1805 - loss 0.10374571 - samples/sec: 92.48 - lr: 0.100000
2020-09-11 19:58:21,179 epoch 71 - iter 1440/1805 - loss 0.10394302 - samples/sec: 92.05 - lr: 0.100000
2020-09-11 19:59:22,935 epoch 71 - iter 1620/1805 - loss 0.10515517 - samples/sec: 93.31 - lr: 0.100000
2020-09-11 20:00:25,643 epoch 71 - iter 1800/1805 - loss 0.10472034 - samples/sec: 91.89 - lr: 0.100000
2020-09-11 20:00:27,417 ----------------------------------------------------------------------------------------------------
2020-09-11 20:00:27,417 EPOCH 71 done: loss 0.1045 - lr 0.1000000
2020-09-11 20:00:27,417 BAD EPOCHS (no improvement): 0
2020-09-11 20:00:27,423 ----------------------------------------------------------------------------------------------------
2020-09-11 20:01:30,588 epoch 72 - iter 180/1805 - loss 0.09105480 - samples/sec: 91.23 - lr: 0.100000
2020-09-11 20:02:32,559 epoch 72 - iter 360/1805 - loss 0.09415983 - samples/sec: 92.98 - lr: 0.100000
2020-09-11 20:03:34,196 epoch 72 - iter 540/1805 - loss 0.09844316 - samples/sec: 93.48 - lr: 0.100000
2020-09-11 20:04:36,625 epoch 72 - iter 720/1805 - loss 0.09584259 - samples/sec: 92.30 - lr: 0.100000
2020-09-11 20:05:39,684 epoch 72 - iter 900/1805 - loss 0.09805282 - samples/sec: 91.37 - lr: 0.100000
2020-09-11 20:06:42,264 epoch 72 - iter 1080/1805 - loss 0.09859196 - samples/sec: 92.07 - lr: 0.100000
2020-09-11 20:07:44,247 epoch 72 - iter 1260/1805 - loss 0.09822331 - samples/sec: 92.96 - lr: 0.100000
2020-09-11 20:08:45,652 epoch 72 - iter 1440/1805 - loss 0.09934798 - samples/sec: 93.84 - lr: 0.100000
2020-09-11 20:09:47,374 epoch 72 - iter 1620/1805 - loss 0.10102262 - samples/sec: 93.36 - lr: 0.100000
2020-09-11 20:10:48,881 epoch 72 - iter 1800/1805 - loss 0.10148835 - samples/sec: 93.68 - lr: 0.100000
2020-09-11 20:10:50,629 ----------------------------------------------------------------------------------------------------
2020-09-11 20:10:50,630 EPOCH 72 done: loss 0.1017 - lr 0.1000000
2020-09-11 20:10:50,630 BAD EPOCHS (no improvement): 0
2020-09-11 20:10:50,635 ----------------------------------------------------------------------------------------------------
2020-09-11 20:11:52,436 epoch 73 - iter 180/1805 - loss 0.11028713 - samples/sec: 93.24 - lr: 0.100000
2020-09-11 20:12:54,929 epoch 73 - iter 360/1805 - loss 0.10857294 - samples/sec: 92.20 - lr: 0.100000
2020-09-11 20:14:04,060 epoch 73 - iter 540/1805 - loss 0.10948000 - samples/sec: 83.35 - lr: 0.100000
2020-09-11 20:15:05,733 epoch 73 - iter 720/1805 - loss 0.10860863 - samples/sec: 93.43 - lr: 0.100000
2020-09-11 20:16:15,761 epoch 73 - iter 900/1805 - loss 0.10792722 - samples/sec: 82.28 - lr: 0.100000
2020-09-11 20:17:18,744 epoch 73 - iter 1080/1805 - loss 0.10858066 - samples/sec: 91.49 - lr: 0.100000
2020-09-11 20:18:21,726 epoch 73 - iter 1260/1805 - loss 0.10881365 - samples/sec: 91.49 - lr: 0.100000
2020-09-11 20:19:23,770 epoch 73 - iter 1440/1805 - loss 0.10962187 - samples/sec: 92.87 - lr: 0.100000
2020-09-11 20:20:24,568 epoch 73 - iter 1620/1805 - loss 0.10902678 - samples/sec: 94.78 - lr: 0.100000
2020-09-11 20:21:27,124 epoch 73 - iter 1800/1805 - loss 0.10751773 - samples/sec: 92.11 - lr: 0.100000
2020-09-11 20:21:28,748 ----------------------------------------------------------------------------------------------------
2020-09-11 20:21:28,748 EPOCH 73 done: loss 0.1074 - lr 0.1000000
2020-09-11 20:21:28,748 BAD EPOCHS (no improvement): 1
2020-09-11 20:21:28,754 ----------------------------------------------------------------------------------------------------
2020-09-11 20:22:31,970 epoch 74 - iter 180/1805 - loss 0.10482004 - samples/sec: 91.16 - lr: 0.100000
2020-09-11 20:23:33,234 epoch 74 - iter 360/1805 - loss 0.10847984 - samples/sec: 94.06 - lr: 0.100000
2020-09-11 20:24:34,946 epoch 74 - iter 540/1805 - loss 0.10480659 - samples/sec: 93.38 - lr: 0.100000
2020-09-11 20:25:36,616 epoch 74 - iter 720/1805 - loss 0.10884666 - samples/sec: 93.44 - lr: 0.100000
2020-09-11 20:26:35,963 epoch 74 - iter 900/1805 - loss 0.10739349 - samples/sec: 97.10 - lr: 0.100000
2020-09-11 20:27:35,953 epoch 74 - iter 1080/1805 - loss 0.10386799 - samples/sec: 96.06 - lr: 0.100000
2020-09-11 20:28:35,438 epoch 74 - iter 1260/1805 - loss 0.10453494 - samples/sec: 96.87 - lr: 0.100000
2020-09-11 20:29:34,452 epoch 74 - iter 1440/1805 - loss 0.10448764 - samples/sec: 97.65 - lr: 0.100000
2020-09-11 20:30:33,198 epoch 74 - iter 1620/1805 - loss 0.10389208 - samples/sec: 98.09 - lr: 0.100000
2020-09-11 20:31:31,916 epoch 74 - iter 1800/1805 - loss 0.10364222 - samples/sec: 98.14 - lr: 0.100000
2020-09-11 20:31:33,700 ----------------------------------------------------------------------------------------------------
2020-09-11 20:31:33,700 EPOCH 74 done: loss 0.1036 - lr 0.1000000
2020-09-11 20:31:33,700 BAD EPOCHS (no improvement): 2
2020-09-11 20:31:33,706 ----------------------------------------------------------------------------------------------------
2020-09-11 20:32:36,167 epoch 75 - iter 180/1805 - loss 0.08902933 - samples/sec: 92.26 - lr: 0.100000
2020-09-11 20:33:38,160 epoch 75 - iter 360/1805 - loss 0.09044696 - samples/sec: 92.95 - lr: 0.100000
2020-09-11 20:34:39,935 epoch 75 - iter 540/1805 - loss 0.09320163 - samples/sec: 93.28 - lr: 0.100000
2020-09-11 20:35:39,734 epoch 75 - iter 720/1805 - loss 0.09554947 - samples/sec: 96.36 - lr: 0.100000
2020-09-11 20:36:38,656 epoch 75 - iter 900/1805 - loss 0.09703134 - samples/sec: 97.80 - lr: 0.100000
2020-09-11 20:37:37,787 epoch 75 - iter 1080/1805 - loss 0.10037854 - samples/sec: 97.45 - lr: 0.100000
2020-09-11 20:38:36,417 epoch 75 - iter 1260/1805 - loss 0.10019752 - samples/sec: 98.29 - lr: 0.100000
2020-09-11 20:39:35,245 epoch 75 - iter 1440/1805 - loss 0.10031377 - samples/sec: 97.96 - lr: 0.100000
2020-09-11 20:40:33,792 epoch 75 - iter 1620/1805 - loss 0.10000658 - samples/sec: 98.43 - lr: 0.100000
2020-09-11 20:41:32,498 epoch 75 - iter 1800/1805 - loss 0.09970283 - samples/sec: 98.16 - lr: 0.100000
2020-09-11 20:41:34,112 ----------------------------------------------------------------------------------------------------
2020-09-11 20:41:34,112 EPOCH 75 done: loss 0.0995 - lr 0.1000000
2020-09-11 20:41:34,112 BAD EPOCHS (no improvement): 0
2020-09-11 20:41:34,122 ----------------------------------------------------------------------------------------------------
2020-09-11 20:42:33,393 epoch 76 - iter 180/1805 - loss 0.09540022 - samples/sec: 97.23 - lr: 0.100000
2020-09-11 20:43:32,851 epoch 76 - iter 360/1805 - loss 0.10079898 - samples/sec: 96.92 - lr: 0.100000
2020-09-11 20:44:31,614 epoch 76 - iter 540/1805 - loss 0.10079066 - samples/sec: 98.06 - lr: 0.100000
2020-09-11 20:45:31,280 epoch 76 - iter 720/1805 - loss 0.10875799 - samples/sec: 96.58 - lr: 0.100000
2020-09-11 20:46:30,907 epoch 76 - iter 900/1805 - loss 0.10933508 - samples/sec: 96.64 - lr: 0.100000
2020-09-11 20:47:28,691 epoch 76 - iter 1080/1805 - loss 0.10749640 - samples/sec: 99.73 - lr: 0.100000
2020-09-11 20:48:28,388 epoch 76 - iter 1260/1805 - loss 0.10616633 - samples/sec: 96.53 - lr: 0.100000
2020-09-11 20:49:26,749 epoch 76 - iter 1440/1805 - loss 0.10270620 - samples/sec: 98.74 - lr: 0.100000
2020-09-11 20:50:25,960 epoch 76 - iter 1620/1805 - loss 0.10228110 - samples/sec: 97.32 - lr: 0.100000
2020-09-11 20:51:24,716 epoch 76 - iter 1800/1805 - loss 0.10081031 - samples/sec: 98.08 - lr: 0.100000
2020-09-11 20:51:26,507 ----------------------------------------------------------------------------------------------------
2020-09-11 20:51:26,508 EPOCH 76 done: loss 0.1008 - lr 0.1000000
2020-09-11 20:51:26,508 BAD EPOCHS (no improvement): 1
2020-09-11 20:51:26,511 ----------------------------------------------------------------------------------------------------
2020-09-11 20:52:26,288 epoch 77 - iter 180/1805 - loss 0.10103123 - samples/sec: 96.40 - lr: 0.100000
2020-09-11 20:53:25,393 epoch 77 - iter 360/1805 - loss 0.09467934 - samples/sec: 97.50 - lr: 0.100000
2020-09-11 20:54:23,983 epoch 77 - iter 540/1805 - loss 0.09629353 - samples/sec: 98.35 - lr: 0.100000
2020-09-11 20:55:22,913 epoch 77 - iter 720/1805 - loss 0.09897495 - samples/sec: 97.79 - lr: 0.100000
2020-09-11 20:56:19,964 epoch 77 - iter 900/1805 - loss 0.09725259 - samples/sec: 101.01 - lr: 0.100000
2020-09-11 20:57:19,581 epoch 77 - iter 1080/1805 - loss 0.09674027 - samples/sec: 96.66 - lr: 0.100000
2020-09-11 20:58:18,545 epoch 77 - iter 1260/1805 - loss 0.09744112 - samples/sec: 97.73 - lr: 0.100000
2020-09-11 20:59:17,339 epoch 77 - iter 1440/1805 - loss 0.09752852 - samples/sec: 98.01 - lr: 0.100000
2020-09-11 21:00:15,692 epoch 77 - iter 1620/1805 - loss 0.09732241 - samples/sec: 98.75 - lr: 0.100000
2020-09-11 21:01:13,438 epoch 77 - iter 1800/1805 - loss 0.09920529 - samples/sec: 99.79 - lr: 0.100000
2020-09-11 21:01:15,093 ----------------------------------------------------------------------------------------------------
2020-09-11 21:01:15,093 EPOCH 77 done: loss 0.0992 - lr 0.1000000
2020-09-11 21:01:15,093 BAD EPOCHS (no improvement): 0
2020-09-11 21:01:15,098 ----------------------------------------------------------------------------------------------------
2020-09-11 21:02:14,897 epoch 78 - iter 180/1805 - loss 0.08710359 - samples/sec: 96.37 - lr: 0.100000
2020-09-11 21:03:14,100 epoch 78 - iter 360/1805 - loss 0.09855955 - samples/sec: 97.33 - lr: 0.100000
2020-09-11 21:04:11,677 epoch 78 - iter 540/1805 - loss 0.09529878 - samples/sec: 100.09 - lr: 0.100000
2020-09-11 21:05:10,377 epoch 78 - iter 720/1805 - loss 0.09821697 - samples/sec: 98.17 - lr: 0.100000
2020-09-11 21:06:09,203 epoch 78 - iter 900/1805 - loss 0.09761458 - samples/sec: 97.96 - lr: 0.100000
2020-09-11 21:07:17,622 epoch 78 - iter 1080/1805 - loss 0.09749140 - samples/sec: 84.22 - lr: 0.100000
2020-09-11 21:08:15,533 epoch 78 - iter 1260/1805 - loss 0.09608525 - samples/sec: 99.51 - lr: 0.100000
2020-09-11 21:09:14,359 epoch 78 - iter 1440/1805 - loss 0.09688335 - samples/sec: 97.96 - lr: 0.100000
2020-09-11 21:10:13,786 epoch 78 - iter 1620/1805 - loss 0.09640474 - samples/sec: 96.97 - lr: 0.100000
2020-09-11 21:11:12,666 epoch 78 - iter 1800/1805 - loss 0.09795936 - samples/sec: 97.87 - lr: 0.100000
2020-09-11 21:11:14,321 ----------------------------------------------------------------------------------------------------
2020-09-11 21:11:14,321 EPOCH 78 done: loss 0.0979 - lr 0.1000000
2020-09-11 21:11:14,321 BAD EPOCHS (no improvement): 0
2020-09-11 21:11:14,327 ----------------------------------------------------------------------------------------------------
2020-09-11 21:12:12,621 epoch 79 - iter 180/1805 - loss 0.09116509 - samples/sec: 98.86 - lr: 0.100000
2020-09-11 21:13:11,286 epoch 79 - iter 360/1805 - loss 0.09751081 - samples/sec: 98.23 - lr: 0.100000
2020-09-11 21:14:11,023 epoch 79 - iter 540/1805 - loss 0.09917142 - samples/sec: 96.46 - lr: 0.100000
2020-09-11 21:15:10,813 epoch 79 - iter 720/1805 - loss 0.09826294 - samples/sec: 96.38 - lr: 0.100000
2020-09-11 21:16:10,106 epoch 79 - iter 900/1805 - loss 0.09987977 - samples/sec: 97.19 - lr: 0.100000
2020-09-11 21:17:08,940 epoch 79 - iter 1080/1805 - loss 0.09774411 - samples/sec: 97.95 - lr: 0.100000
2020-09-11 21:18:07,300 epoch 79 - iter 1260/1805 - loss 0.09797577 - samples/sec: 98.74 - lr: 0.100000
2020-09-11 21:19:06,112 epoch 79 - iter 1440/1805 - loss 0.09765718 - samples/sec: 97.98 - lr: 0.100000
2020-09-11 21:20:04,591 epoch 79 - iter 1620/1805 - loss 0.09605333 - samples/sec: 98.54 - lr: 0.100000
2020-09-11 21:21:03,793 epoch 79 - iter 1800/1805 - loss 0.09597444 - samples/sec: 97.34 - lr: 0.100000
2020-09-11 21:21:05,370 ----------------------------------------------------------------------------------------------------
2020-09-11 21:21:05,370 EPOCH 79 done: loss 0.0961 - lr 0.1000000
2020-09-11 21:21:05,370 BAD EPOCHS (no improvement): 0
2020-09-11 21:21:05,373 ----------------------------------------------------------------------------------------------------
2020-09-11 21:22:04,169 epoch 80 - iter 180/1805 - loss 0.09294081 - samples/sec: 98.01 - lr: 0.100000
2020-09-11 21:23:02,812 epoch 80 - iter 360/1805 - loss 0.09322750 - samples/sec: 98.27 - lr: 0.100000
2020-09-11 21:24:01,499 epoch 80 - iter 540/1805 - loss 0.09395811 - samples/sec: 98.19 - lr: 0.100000
2020-09-11 21:25:00,821 epoch 80 - iter 720/1805 - loss 0.09404856 - samples/sec: 97.14 - lr: 0.100000
2020-09-11 21:26:00,122 epoch 80 - iter 900/1805 - loss 0.09333501 - samples/sec: 97.17 - lr: 0.100000
2020-09-11 21:26:58,560 epoch 80 - iter 1080/1805 - loss 0.09323564 - samples/sec: 98.61 - lr: 0.100000
2020-09-11 21:27:56,984 epoch 80 - iter 1260/1805 - loss 0.09203099 - samples/sec: 98.63 - lr: 0.100000
2020-09-11 21:28:55,816 epoch 80 - iter 1440/1805 - loss 0.09390566 - samples/sec: 97.95 - lr: 0.100000
2020-09-11 21:29:55,354 epoch 80 - iter 1620/1805 - loss 0.09409822 - samples/sec: 96.79 - lr: 0.100000
2020-09-11 21:30:54,572 epoch 80 - iter 1800/1805 - loss 0.09606252 - samples/sec: 97.31 - lr: 0.100000
2020-09-11 21:30:56,105 ----------------------------------------------------------------------------------------------------
2020-09-11 21:30:56,105 EPOCH 80 done: loss 0.0961 - lr 0.1000000
2020-09-11 21:30:56,105 BAD EPOCHS (no improvement): 0
2020-09-11 21:30:56,111 ----------------------------------------------------------------------------------------------------
2020-09-11 21:32:03,660 epoch 81 - iter 180/1805 - loss 0.08597653 - samples/sec: 85.31 - lr: 0.100000
2020-09-11 21:33:11,471 epoch 81 - iter 360/1805 - loss 0.09679044 - samples/sec: 84.97 - lr: 0.100000
2020-09-11 21:34:18,822 epoch 81 - iter 540/1805 - loss 0.09822715 - samples/sec: 85.56 - lr: 0.100000
2020-09-11 21:35:25,682 epoch 81 - iter 720/1805 - loss 0.10171736 - samples/sec: 86.18 - lr: 0.100000
2020-09-11 21:36:31,482 epoch 81 - iter 900/1805 - loss 0.10294526 - samples/sec: 87.57 - lr: 0.100000
2020-09-11 21:37:33,114 epoch 81 - iter 1080/1805 - loss 0.10179406 - samples/sec: 93.50 - lr: 0.100000
2020-09-11 21:38:34,954 epoch 81 - iter 1260/1805 - loss 0.09938617 - samples/sec: 93.18 - lr: 0.100000
2020-09-11 21:39:35,307 epoch 81 - iter 1440/1805 - loss 0.09809965 - samples/sec: 95.48 - lr: 0.100000
2020-09-11 21:40:34,956 epoch 81 - iter 1620/1805 - loss 0.09622799 - samples/sec: 96.61 - lr: 0.100000
2020-09-11 21:41:33,545 epoch 81 - iter 1800/1805 - loss 0.09662271 - samples/sec: 98.36 - lr: 0.100000
2020-09-11 21:41:35,138 ----------------------------------------------------------------------------------------------------
2020-09-11 21:41:35,138 EPOCH 81 done: loss 0.0967 - lr 0.1000000
2020-09-11 21:41:35,138 BAD EPOCHS (no improvement): 1
2020-09-11 21:41:35,144 ----------------------------------------------------------------------------------------------------
2020-09-11 21:42:34,138 epoch 82 - iter 180/1805 - loss 0.09794933 - samples/sec: 97.68 - lr: 0.100000
2020-09-11 21:43:33,304 epoch 82 - iter 360/1805 - loss 0.09612667 - samples/sec: 97.40 - lr: 0.100000
2020-09-11 21:44:32,791 epoch 82 - iter 540/1805 - loss 0.09843389 - samples/sec: 96.87 - lr: 0.100000
2020-09-11 21:45:31,624 epoch 82 - iter 720/1805 - loss 0.09777350 - samples/sec: 97.95 - lr: 0.100000
2020-09-11 21:46:30,769 epoch 82 - iter 900/1805 - loss 0.09776283 - samples/sec: 97.43 - lr: 0.100000
2020-09-11 21:47:29,648 epoch 82 - iter 1080/1805 - loss 0.09761124 - samples/sec: 97.87 - lr: 0.100000
2020-09-11 21:48:29,819 epoch 82 - iter 1260/1805 - loss 0.09766464 - samples/sec: 95.77 - lr: 0.100000
2020-09-11 21:49:29,743 epoch 82 - iter 1440/1805 - loss 0.09564606 - samples/sec: 96.16 - lr: 0.100000
2020-09-11 21:50:28,669 epoch 82 - iter 1620/1805 - loss 0.09840322 - samples/sec: 97.79 - lr: 0.100000
2020-09-11 21:51:27,759 epoch 82 - iter 1800/1805 - loss 0.09887883 - samples/sec: 97.52 - lr: 0.100000
2020-09-11 21:51:29,297 ----------------------------------------------------------------------------------------------------
2020-09-11 21:51:29,297 EPOCH 82 done: loss 0.0991 - lr 0.1000000
2020-09-11 21:51:29,297 BAD EPOCHS (no improvement): 2
2020-09-11 21:51:29,300 ----------------------------------------------------------------------------------------------------
2020-09-11 21:52:28,802 epoch 83 - iter 180/1805 - loss 0.08719737 - samples/sec: 96.85 - lr: 0.100000
2020-09-11 21:53:27,349 epoch 83 - iter 360/1805 - loss 0.09004785 - samples/sec: 98.43 - lr: 0.100000
2020-09-11 21:54:27,227 epoch 83 - iter 540/1805 - loss 0.08789061 - samples/sec: 96.24 - lr: 0.100000
2020-09-11 21:55:25,815 epoch 83 - iter 720/1805 - loss 0.08608072 - samples/sec: 98.36 - lr: 0.100000
2020-09-11 21:56:24,319 epoch 83 - iter 900/1805 - loss 0.08890149 - samples/sec: 98.50 - lr: 0.100000
2020-09-11 21:57:23,422 epoch 83 - iter 1080/1805 - loss 0.08895308 - samples/sec: 97.50 - lr: 0.100000
2020-09-11 21:58:21,201 epoch 83 - iter 1260/1805 - loss 0.08994742 - samples/sec: 99.73 - lr: 0.100000
2020-09-11 21:59:20,039 epoch 83 - iter 1440/1805 - loss 0.09017091 - samples/sec: 97.94 - lr: 0.100000
2020-09-11 22:00:27,635 epoch 83 - iter 1620/1805 - loss 0.09169878 - samples/sec: 85.25 - lr: 0.100000
2020-09-11 22:01:27,517 epoch 83 - iter 1800/1805 - loss 0.09423529 - samples/sec: 96.23 - lr: 0.100000
2020-09-11 22:01:29,157 ----------------------------------------------------------------------------------------------------
2020-09-11 22:01:29,158 EPOCH 83 done: loss 0.0941 - lr 0.1000000
2020-09-11 22:01:29,158 BAD EPOCHS (no improvement): 0
2020-09-11 22:01:29,167 ----------------------------------------------------------------------------------------------------
2020-09-11 22:02:27,509 epoch 84 - iter 180/1805 - loss 0.09889208 - samples/sec: 98.78 - lr: 0.100000
2020-09-11 22:03:26,156 epoch 84 - iter 360/1805 - loss 0.09384004 - samples/sec: 98.26 - lr: 0.100000
2020-09-11 22:04:25,684 epoch 84 - iter 540/1805 - loss 0.09291663 - samples/sec: 96.80 - lr: 0.100000
2020-09-11 22:05:25,119 epoch 84 - iter 720/1805 - loss 0.09727551 - samples/sec: 96.96 - lr: 0.100000
2020-09-11 22:06:23,931 epoch 84 - iter 900/1805 - loss 0.09702957 - samples/sec: 97.98 - lr: 0.100000
2020-09-11 22:07:23,699 epoch 84 - iter 1080/1805 - loss 0.09492589 - samples/sec: 96.41 - lr: 0.100000
2020-09-11 22:08:23,361 epoch 84 - iter 1260/1805 - loss 0.09472871 - samples/sec: 96.59 - lr: 0.100000
2020-09-11 22:09:21,608 epoch 84 - iter 1440/1805 - loss 0.09539593 - samples/sec: 98.93 - lr: 0.100000
2020-09-11 22:10:19,986 epoch 84 - iter 1620/1805 - loss 0.09662527 - samples/sec: 98.71 - lr: 0.100000
2020-09-11 22:11:18,748 epoch 84 - iter 1800/1805 - loss 0.09592589 - samples/sec: 98.07 - lr: 0.100000
2020-09-11 22:11:20,400 ----------------------------------------------------------------------------------------------------
2020-09-11 22:11:20,401 EPOCH 84 done: loss 0.0959 - lr 0.1000000
2020-09-11 22:11:20,401 BAD EPOCHS (no improvement): 1
2020-09-11 22:11:20,404 ----------------------------------------------------------------------------------------------------
2020-09-11 22:12:19,623 epoch 85 - iter 180/1805 - loss 0.09046365 - samples/sec: 97.31 - lr: 0.100000
2020-09-11 22:13:18,736 epoch 85 - iter 360/1805 - loss 0.09172517 - samples/sec: 97.48 - lr: 0.100000
2020-09-11 22:14:17,672 epoch 85 - iter 540/1805 - loss 0.09478906 - samples/sec: 97.78 - lr: 0.100000
2020-09-11 22:15:16,741 epoch 85 - iter 720/1805 - loss 0.09455902 - samples/sec: 97.56 - lr: 0.100000
2020-09-11 22:16:15,544 epoch 85 - iter 900/1805 - loss 0.09691817 - samples/sec: 98.00 - lr: 0.100000
2020-09-11 22:17:14,031 epoch 85 - iter 1080/1805 - loss 0.09612793 - samples/sec: 98.53 - lr: 0.100000
2020-09-11 22:18:14,162 epoch 85 - iter 1260/1805 - loss 0.09554579 - samples/sec: 95.83 - lr: 0.100000
2020-09-11 22:19:13,243 epoch 85 - iter 1440/1805 - loss 0.09342763 - samples/sec: 97.54 - lr: 0.100000
2020-09-11 22:20:12,155 epoch 85 - iter 1620/1805 - loss 0.09334021 - samples/sec: 97.82 - lr: 0.100000
2020-09-11 22:21:11,114 epoch 85 - iter 1800/1805 - loss 0.09384223 - samples/sec: 97.74 - lr: 0.100000
2020-09-11 22:21:12,807 ----------------------------------------------------------------------------------------------------
2020-09-11 22:21:12,807 EPOCH 85 done: loss 0.0937 - lr 0.1000000
2020-09-11 22:21:12,807 BAD EPOCHS (no improvement): 0
2020-09-11 22:21:12,813 ----------------------------------------------------------------------------------------------------
2020-09-11 22:22:12,748 epoch 86 - iter 180/1805 - loss 0.08107018 - samples/sec: 96.15 - lr: 0.100000
2020-09-11 22:23:11,739 epoch 86 - iter 360/1805 - loss 0.08393929 - samples/sec: 97.68 - lr: 0.100000
2020-09-11 22:24:11,172 epoch 86 - iter 540/1805 - loss 0.08594261 - samples/sec: 96.96 - lr: 0.100000
2020-09-11 22:25:09,616 epoch 86 - iter 720/1805 - loss 0.09102844 - samples/sec: 98.60 - lr: 0.100000
2020-09-11 22:26:08,638 epoch 86 - iter 900/1805 - loss 0.09114802 - samples/sec: 97.63 - lr: 0.100000
2020-09-11 22:27:09,161 epoch 86 - iter 1080/1805 - loss 0.08938282 - samples/sec: 95.21 - lr: 0.100000
2020-09-11 22:28:07,866 epoch 86 - iter 1260/1805 - loss 0.08921670 - samples/sec: 98.16 - lr: 0.100000
2020-09-11 22:29:06,376 epoch 86 - iter 1440/1805 - loss 0.09060955 - samples/sec: 98.49 - lr: 0.100000
2020-09-11 22:30:04,652 epoch 86 - iter 1620/1805 - loss 0.09216291 - samples/sec: 98.89 - lr: 0.100000
2020-09-11 22:31:02,919 epoch 86 - iter 1800/1805 - loss 0.09088210 - samples/sec: 98.90 - lr: 0.100000
2020-09-11 22:31:04,441 ----------------------------------------------------------------------------------------------------
2020-09-11 22:31:04,441 EPOCH 86 done: loss 0.0907 - lr 0.1000000
2020-09-11 22:31:04,441 BAD EPOCHS (no improvement): 0
2020-09-11 22:31:04,446 ----------------------------------------------------------------------------------------------------
2020-09-11 22:32:03,130 epoch 87 - iter 180/1805 - loss 0.07143239 - samples/sec: 98.20 - lr: 0.100000
2020-09-11 22:33:02,342 epoch 87 - iter 360/1805 - loss 0.08226641 - samples/sec: 97.32 - lr: 0.100000
2020-09-11 22:34:00,507 epoch 87 - iter 540/1805 - loss 0.09307134 - samples/sec: 99.07 - lr: 0.100000
2020-09-11 22:34:59,492 epoch 87 - iter 720/1805 - loss 0.09419371 - samples/sec: 97.70 - lr: 0.100000
2020-09-11 22:35:58,984 epoch 87 - iter 900/1805 - loss 0.09326058 - samples/sec: 96.86 - lr: 0.100000
2020-09-11 22:36:58,352 epoch 87 - iter 1080/1805 - loss 0.09297271 - samples/sec: 97.07 - lr: 0.100000
2020-09-11 22:37:56,744 epoch 87 - iter 1260/1805 - loss 0.09379290 - samples/sec: 98.69 - lr: 0.100000
2020-09-11 22:38:56,522 epoch 87 - iter 1440/1805 - loss 0.09388944 - samples/sec: 96.40 - lr: 0.100000
2020-09-11 22:39:55,302 epoch 87 - iter 1620/1805 - loss 0.09456447 - samples/sec: 98.04 - lr: 0.100000
2020-09-11 22:40:53,095 epoch 87 - iter 1800/1805 - loss 0.09367382 - samples/sec: 99.71 - lr: 0.100000
2020-09-11 22:40:54,739 ----------------------------------------------------------------------------------------------------
2020-09-11 22:40:54,739 EPOCH 87 done: loss 0.0936 - lr 0.1000000
2020-09-11 22:40:54,739 BAD EPOCHS (no improvement): 1
2020-09-11 22:40:54,745 ----------------------------------------------------------------------------------------------------
2020-09-11 22:41:53,195 epoch 88 - iter 180/1805 - loss 0.09032304 - samples/sec: 98.59 - lr: 0.100000
2020-09-11 22:42:52,100 epoch 88 - iter 360/1805 - loss 0.08807739 - samples/sec: 97.83 - lr: 0.100000
2020-09-11 22:43:50,913 epoch 88 - iter 540/1805 - loss 0.09065781 - samples/sec: 97.98 - lr: 0.100000
2020-09-11 22:44:51,157 epoch 88 - iter 720/1805 - loss 0.08933465 - samples/sec: 95.65 - lr: 0.100000
2020-09-11 22:45:50,929 epoch 88 - iter 900/1805 - loss 0.09255457 - samples/sec: 96.41 - lr: 0.100000
2020-09-11 22:46:49,081 epoch 88 - iter 1080/1805 - loss 0.09133172 - samples/sec: 99.09 - lr: 0.100000
2020-09-11 22:47:48,659 epoch 88 - iter 1260/1805 - loss 0.08999302 - samples/sec: 96.72 - lr: 0.100000
2020-09-11 22:48:47,571 epoch 88 - iter 1440/1805 - loss 0.09044620 - samples/sec: 97.82 - lr: 0.100000
2020-09-11 22:49:46,983 epoch 88 - iter 1620/1805 - loss 0.09126738 - samples/sec: 96.99 - lr: 0.100000
2020-09-11 22:50:46,427 epoch 88 - iter 1800/1805 - loss 0.09185262 - samples/sec: 96.94 - lr: 0.100000
2020-09-11 22:50:48,046 ----------------------------------------------------------------------------------------------------
2020-09-11 22:50:48,046 EPOCH 88 done: loss 0.0918 - lr 0.1000000
2020-09-11 22:50:48,046 BAD EPOCHS (no improvement): 2
2020-09-11 22:50:48,049 ----------------------------------------------------------------------------------------------------
2020-09-11 22:51:46,677 epoch 89 - iter 180/1805 - loss 0.08858164 - samples/sec: 98.29 - lr: 0.100000
2020-09-11 22:52:55,004 epoch 89 - iter 360/1805 - loss 0.08598063 - samples/sec: 84.33 - lr: 0.100000
2020-09-11 22:53:54,200 epoch 89 - iter 540/1805 - loss 0.08832146 - samples/sec: 97.35 - lr: 0.100000
2020-09-11 22:54:53,734 epoch 89 - iter 720/1805 - loss 0.08789694 - samples/sec: 96.80 - lr: 0.100000
2020-09-11 22:55:53,013 epoch 89 - iter 900/1805 - loss 0.08629251 - samples/sec: 97.21 - lr: 0.100000
2020-09-11 22:56:51,843 epoch 89 - iter 1080/1805 - loss 0.08641991 - samples/sec: 97.95 - lr: 0.100000
2020-09-11 22:57:51,645 epoch 89 - iter 1260/1805 - loss 0.08550975 - samples/sec: 96.36 - lr: 0.100000
2020-09-11 22:58:50,862 epoch 89 - iter 1440/1805 - loss 0.08693188 - samples/sec: 97.31 - lr: 0.100000
2020-09-11 22:59:48,969 epoch 89 - iter 1620/1805 - loss 0.08754586 - samples/sec: 99.17 - lr: 0.100000
2020-09-11 23:00:47,438 epoch 89 - iter 1800/1805 - loss 0.08821763 - samples/sec: 98.56 - lr: 0.100000
2020-09-11 23:00:49,067 ----------------------------------------------------------------------------------------------------
2020-09-11 23:00:49,067 EPOCH 89 done: loss 0.0882 - lr 0.1000000
2020-09-11 23:00:49,067 BAD EPOCHS (no improvement): 0
2020-09-11 23:00:49,073 ----------------------------------------------------------------------------------------------------
2020-09-11 23:01:48,819 epoch 90 - iter 180/1805 - loss 0.09675192 - samples/sec: 96.45 - lr: 0.100000
2020-09-11 23:02:46,578 epoch 90 - iter 360/1805 - loss 0.09679572 - samples/sec: 99.77 - lr: 0.100000
2020-09-11 23:03:45,931 epoch 90 - iter 540/1805 - loss 0.09499343 - samples/sec: 97.09 - lr: 0.100000
2020-09-11 23:04:45,432 epoch 90 - iter 720/1805 - loss 0.09265779 - samples/sec: 96.85 - lr: 0.100000
2020-09-11 23:05:44,139 epoch 90 - iter 900/1805 - loss 0.09295107 - samples/sec: 98.16 - lr: 0.100000
2020-09-11 23:06:43,117 epoch 90 - iter 1080/1805 - loss 0.09266283 - samples/sec: 97.71 - lr: 0.100000
2020-09-11 23:07:42,868 epoch 90 - iter 1260/1805 - loss 0.09044040 - samples/sec: 96.44 - lr: 0.100000
2020-09-11 23:08:41,125 epoch 90 - iter 1440/1805 - loss 0.09168615 - samples/sec: 98.92 - lr: 0.100000
2020-09-11 23:09:39,844 epoch 90 - iter 1620/1805 - loss 0.09048117 - samples/sec: 98.14 - lr: 0.100000
2020-09-11 23:10:38,057 epoch 90 - iter 1800/1805 - loss 0.08928746 - samples/sec: 98.99 - lr: 0.100000
2020-09-11 23:10:39,663 ----------------------------------------------------------------------------------------------------
2020-09-11 23:10:39,663 EPOCH 90 done: loss 0.0891 - lr 0.1000000
2020-09-11 23:10:39,663 BAD EPOCHS (no improvement): 1
2020-09-11 23:10:39,666 ----------------------------------------------------------------------------------------------------
2020-09-11 23:11:38,652 epoch 91 - iter 180/1805 - loss 0.08882240 - samples/sec: 97.70 - lr: 0.100000
2020-09-11 23:12:37,792 epoch 91 - iter 360/1805 - loss 0.09380739 - samples/sec: 97.44 - lr: 0.100000
2020-09-11 23:13:36,166 epoch 91 - iter 540/1805 - loss 0.09432403 - samples/sec: 98.72 - lr: 0.100000
2020-09-11 23:14:36,351 epoch 91 - iter 720/1805 - loss 0.09283561 - samples/sec: 95.75 - lr: 0.100000
2020-09-11 23:15:34,583 epoch 91 - iter 900/1805 - loss 0.09247097 - samples/sec: 98.96 - lr: 0.100000
2020-09-11 23:16:34,889 epoch 91 - iter 1080/1805 - loss 0.09499388 - samples/sec: 95.56 - lr: 0.100000
2020-09-11 23:17:34,535 epoch 91 - iter 1260/1805 - loss 0.09421812 - samples/sec: 96.61 - lr: 0.100000
2020-09-11 23:18:32,924 epoch 91 - iter 1440/1805 - loss 0.09266227 - samples/sec: 98.69 - lr: 0.100000
2020-09-11 23:19:31,426 epoch 91 - iter 1620/1805 - loss 0.09369440 - samples/sec: 98.50 - lr: 0.100000
2020-09-11 23:20:29,910 epoch 91 - iter 1800/1805 - loss 0.09315775 - samples/sec: 98.53 - lr: 0.100000
2020-09-11 23:20:31,594 ----------------------------------------------------------------------------------------------------
2020-09-11 23:20:31,595 EPOCH 91 done: loss 0.0930 - lr 0.1000000
2020-09-11 23:20:31,595 BAD EPOCHS (no improvement): 2
2020-09-11 23:20:31,601 ----------------------------------------------------------------------------------------------------
2020-09-11 23:21:30,964 epoch 92 - iter 180/1805 - loss 0.08789395 - samples/sec: 97.08 - lr: 0.100000
2020-09-11 23:22:30,652 epoch 92 - iter 360/1805 - loss 0.08707994 - samples/sec: 96.54 - lr: 0.100000
2020-09-11 23:23:29,722 epoch 92 - iter 540/1805 - loss 0.08446004 - samples/sec: 97.55 - lr: 0.100000
2020-09-11 23:24:28,988 epoch 92 - iter 720/1805 - loss 0.08304985 - samples/sec: 97.23 - lr: 0.100000
2020-09-11 23:25:27,347 epoch 92 - iter 900/1805 - loss 0.08614538 - samples/sec: 98.75 - lr: 0.100000
2020-09-11 23:26:26,669 epoch 92 - iter 1080/1805 - loss 0.08778030 - samples/sec: 97.14 - lr: 0.100000
2020-09-11 23:27:25,344 epoch 92 - iter 1260/1805 - loss 0.08816114 - samples/sec: 98.21 - lr: 0.100000
2020-09-11 23:28:24,890 epoch 92 - iter 1440/1805 - loss 0.08962285 - samples/sec: 96.77 - lr: 0.100000
2020-09-11 23:29:23,797 epoch 92 - iter 1620/1805 - loss 0.08874424 - samples/sec: 97.83 - lr: 0.100000
2020-09-11 23:30:22,786 epoch 92 - iter 1800/1805 - loss 0.08810440 - samples/sec: 97.69 - lr: 0.100000
2020-09-11 23:30:24,281 ----------------------------------------------------------------------------------------------------
2020-09-11 23:30:24,281 EPOCH 92 done: loss 0.0882 - lr 0.1000000
2020-09-11 23:30:24,281 BAD EPOCHS (no improvement): 0
2020-09-11 23:30:24,284 ----------------------------------------------------------------------------------------------------
2020-09-11 23:31:23,160 epoch 93 - iter 180/1805 - loss 0.08164601 - samples/sec: 97.88 - lr: 0.100000
2020-09-11 23:32:21,928 epoch 93 - iter 360/1805 - loss 0.08562478 - samples/sec: 98.06 - lr: 0.100000
2020-09-11 23:33:21,189 epoch 93 - iter 540/1805 - loss 0.08764012 - samples/sec: 97.24 - lr: 0.100000
2020-09-11 23:34:20,556 epoch 93 - iter 720/1805 - loss 0.08884010 - samples/sec: 97.07 - lr: 0.100000
2020-09-11 23:35:19,857 epoch 93 - iter 900/1805 - loss 0.08936360 - samples/sec: 97.18 - lr: 0.100000
2020-09-11 23:36:19,933 epoch 93 - iter 1080/1805 - loss 0.08916586 - samples/sec: 95.92 - lr: 0.100000
2020-09-11 23:37:17,866 epoch 93 - iter 1260/1805 - loss 0.08950096 - samples/sec: 99.47 - lr: 0.100000
2020-09-11 23:38:16,779 epoch 93 - iter 1440/1805 - loss 0.09005089 - samples/sec: 97.82 - lr: 0.100000
2020-09-11 23:39:16,299 epoch 93 - iter 1620/1805 - loss 0.09041554 - samples/sec: 96.82 - lr: 0.100000
2020-09-11 23:40:14,885 epoch 93 - iter 1800/1805 - loss 0.09011333 - samples/sec: 98.36 - lr: 0.100000
2020-09-11 23:40:16,508 ----------------------------------------------------------------------------------------------------
2020-09-11 23:40:16,508 EPOCH 93 done: loss 0.0901 - lr 0.1000000
2020-09-11 23:40:16,508 BAD EPOCHS (no improvement): 1
2020-09-11 23:40:16,516 ----------------------------------------------------------------------------------------------------
2020-09-11 23:41:15,315 epoch 94 - iter 180/1805 - loss 0.07560217 - samples/sec: 98.01 - lr: 0.100000
2020-09-11 23:42:15,329 epoch 94 - iter 360/1805 - loss 0.07839078 - samples/sec: 96.02 - lr: 0.100000
2020-09-11 23:43:14,287 epoch 94 - iter 540/1805 - loss 0.08351313 - samples/sec: 97.74 - lr: 0.100000
2020-09-11 23:44:12,868 epoch 94 - iter 720/1805 - loss 0.08346748 - samples/sec: 98.37 - lr: 0.100000
2020-09-11 23:45:11,381 epoch 94 - iter 900/1805 - loss 0.08481675 - samples/sec: 98.49 - lr: 0.100000
2020-09-11 23:46:19,374 epoch 94 - iter 1080/1805 - loss 0.08523339 - samples/sec: 84.75 - lr: 0.100000
2020-09-11 23:47:18,688 epoch 94 - iter 1260/1805 - loss 0.08707319 - samples/sec: 97.15 - lr: 0.100000
2020-09-11 23:48:18,069 epoch 94 - iter 1440/1805 - loss 0.08699783 - samples/sec: 97.04 - lr: 0.100000
2020-09-11 23:49:17,011 epoch 94 - iter 1620/1805 - loss 0.08779616 - samples/sec: 97.77 - lr: 0.100000
2020-09-11 23:50:15,632 epoch 94 - iter 1800/1805 - loss 0.08846573 - samples/sec: 98.30 - lr: 0.100000
2020-09-11 23:50:17,229 ----------------------------------------------------------------------------------------------------
2020-09-11 23:50:17,229 EPOCH 94 done: loss 0.0884 - lr 0.1000000
2020-09-11 23:50:17,229 BAD EPOCHS (no improvement): 2
2020-09-11 23:50:17,235 ----------------------------------------------------------------------------------------------------
2020-09-11 23:51:16,326 epoch 95 - iter 180/1805 - loss 0.08903757 - samples/sec: 97.52 - lr: 0.100000
2020-09-11 23:52:15,619 epoch 95 - iter 360/1805 - loss 0.09044294 - samples/sec: 97.19 - lr: 0.100000
2020-09-11 23:53:14,447 epoch 95 - iter 540/1805 - loss 0.08957373 - samples/sec: 97.96 - lr: 0.100000
2020-09-11 23:54:13,951 epoch 95 - iter 720/1805 - loss 0.08624307 - samples/sec: 96.84 - lr: 0.100000
2020-09-11 23:55:12,763 epoch 95 - iter 900/1805 - loss 0.08844112 - samples/sec: 97.98 - lr: 0.100000
2020-09-11 23:56:12,174 epoch 95 - iter 1080/1805 - loss 0.08652075 - samples/sec: 97.00 - lr: 0.100000
2020-09-11 23:57:10,934 epoch 95 - iter 1260/1805 - loss 0.08656054 - samples/sec: 98.07 - lr: 0.100000
2020-09-11 23:58:09,562 epoch 95 - iter 1440/1805 - loss 0.08644982 - samples/sec: 98.29 - lr: 0.100000
2020-09-11 23:59:07,816 epoch 95 - iter 1620/1805 - loss 0.08708342 - samples/sec: 98.92 - lr: 0.100000
2020-09-12 00:00:06,988 epoch 95 - iter 1800/1805 - loss 0.08906842 - samples/sec: 97.39 - lr: 0.100000
2020-09-12 00:00:08,600 ----------------------------------------------------------------------------------------------------
2020-09-12 00:00:08,600 EPOCH 95 done: loss 0.0891 - lr 0.1000000
2020-09-12 00:00:08,600 BAD EPOCHS (no improvement): 3
2020-09-12 00:00:08,608 ----------------------------------------------------------------------------------------------------
2020-09-12 00:01:07,864 epoch 96 - iter 180/1805 - loss 0.08187454 - samples/sec: 97.25 - lr: 0.100000
2020-09-12 00:02:06,183 epoch 96 - iter 360/1805 - loss 0.08552994 - samples/sec: 98.81 - lr: 0.100000
2020-09-12 00:03:04,232 epoch 96 - iter 540/1805 - loss 0.08331229 - samples/sec: 99.27 - lr: 0.100000
2020-09-12 00:04:03,128 epoch 96 - iter 720/1805 - loss 0.08463544 - samples/sec: 97.84 - lr: 0.100000
2020-09-12 00:05:02,298 epoch 96 - iter 900/1805 - loss 0.08354124 - samples/sec: 97.39 - lr: 0.100000
2020-09-12 00:06:01,276 epoch 96 - iter 1080/1805 - loss 0.08379986 - samples/sec: 97.71 - lr: 0.100000
2020-09-12 00:07:00,496 epoch 96 - iter 1260/1805 - loss 0.08435466 - samples/sec: 97.31 - lr: 0.100000
2020-09-12 00:07:59,755 epoch 96 - iter 1440/1805 - loss 0.08523815 - samples/sec: 97.24 - lr: 0.100000
2020-09-12 00:08:58,702 epoch 96 - iter 1620/1805 - loss 0.08590169 - samples/sec: 97.76 - lr: 0.100000
2020-09-12 00:09:56,481 epoch 96 - iter 1800/1805 - loss 0.08683117 - samples/sec: 99.74 - lr: 0.100000
2020-09-12 00:09:58,080 ----------------------------------------------------------------------------------------------------
2020-09-12 00:09:58,081 EPOCH 96 done: loss 0.0869 - lr 0.1000000
2020-09-12 00:09:58,081 BAD EPOCHS (no improvement): 0
2020-09-12 00:09:58,087 ----------------------------------------------------------------------------------------------------
2020-09-12 00:10:57,572 epoch 97 - iter 180/1805 - loss 0.10106569 - samples/sec: 96.88 - lr: 0.100000
2020-09-12 00:11:57,069 epoch 97 - iter 360/1805 - loss 0.09507221 - samples/sec: 96.86 - lr: 0.100000
2020-09-12 00:12:56,049 epoch 97 - iter 540/1805 - loss 0.08941939 - samples/sec: 97.70 - lr: 0.100000
2020-09-12 00:13:56,512 epoch 97 - iter 720/1805 - loss 0.09114340 - samples/sec: 95.30 - lr: 0.100000
2020-09-12 00:14:54,921 epoch 97 - iter 900/1805 - loss 0.08858340 - samples/sec: 98.66 - lr: 0.100000
2020-09-12 00:15:54,039 epoch 97 - iter 1080/1805 - loss 0.08794334 - samples/sec: 97.48 - lr: 0.100000
2020-09-12 00:16:52,644 epoch 97 - iter 1260/1805 - loss 0.08826971 - samples/sec: 98.33 - lr: 0.100000
2020-09-12 00:17:51,373 epoch 97 - iter 1440/1805 - loss 0.08939400 - samples/sec: 98.12 - lr: 0.100000
2020-09-12 00:18:49,278 epoch 97 - iter 1620/1805 - loss 0.09100951 - samples/sec: 99.52 - lr: 0.100000
2020-09-12 00:19:47,802 epoch 97 - iter 1800/1805 - loss 0.09130818 - samples/sec: 98.47 - lr: 0.100000
2020-09-12 00:19:49,456 ----------------------------------------------------------------------------------------------------
2020-09-12 00:19:49,456 EPOCH 97 done: loss 0.0913 - lr 0.1000000
2020-09-12 00:19:49,456 BAD EPOCHS (no improvement): 1
2020-09-12 00:19:49,498 ----------------------------------------------------------------------------------------------------
2020-09-12 00:20:48,115 epoch 98 - iter 180/1805 - loss 0.08265582 - samples/sec: 98.31 - lr: 0.100000
2020-09-12 00:21:47,127 epoch 98 - iter 360/1805 - loss 0.09133400 - samples/sec: 97.65 - lr: 0.100000
2020-09-12 00:22:46,416 epoch 98 - iter 540/1805 - loss 0.09058983 - samples/sec: 97.19 - lr: 0.100000
2020-09-12 00:23:45,438 epoch 98 - iter 720/1805 - loss 0.08780380 - samples/sec: 97.63 - lr: 0.100000
2020-09-12 00:24:45,362 epoch 98 - iter 900/1805 - loss 0.08730711 - samples/sec: 96.17 - lr: 0.100000
2020-09-12 00:25:44,454 epoch 98 - iter 1080/1805 - loss 0.08645787 - samples/sec: 97.52 - lr: 0.100000
2020-09-12 00:26:42,346 epoch 98 - iter 1260/1805 - loss 0.08848612 - samples/sec: 99.54 - lr: 0.100000
2020-09-12 00:27:41,662 epoch 98 - iter 1440/1805 - loss 0.08838786 - samples/sec: 97.15 - lr: 0.100000
2020-09-12 00:28:40,425 epoch 98 - iter 1620/1805 - loss 0.08852645 - samples/sec: 98.07 - lr: 0.100000
2020-09-12 00:29:39,033 epoch 98 - iter 1800/1805 - loss 0.09026084 - samples/sec: 98.32 - lr: 0.100000
2020-09-12 00:29:40,632 ----------------------------------------------------------------------------------------------------
2020-09-12 00:29:40,632 EPOCH 98 done: loss 0.0902 - lr 0.1000000
2020-09-12 00:29:40,632 BAD EPOCHS (no improvement): 2
2020-09-12 00:29:40,638 ----------------------------------------------------------------------------------------------------
2020-09-12 00:30:39,047 epoch 99 - iter 180/1805 - loss 0.08767059 - samples/sec: 98.66 - lr: 0.100000
2020-09-12 00:31:38,555 epoch 99 - iter 360/1805 - loss 0.08923726 - samples/sec: 96.84 - lr: 0.100000
2020-09-12 00:32:36,675 epoch 99 - iter 540/1805 - loss 0.08724840 - samples/sec: 99.15 - lr: 0.100000
2020-09-12 00:33:35,796 epoch 99 - iter 720/1805 - loss 0.08564574 - samples/sec: 97.47 - lr: 0.100000
2020-09-12 00:34:35,311 epoch 99 - iter 900/1805 - loss 0.08842753 - samples/sec: 96.83 - lr: 0.100000
2020-09-12 00:35:34,405 epoch 99 - iter 1080/1805 - loss 0.09116116 - samples/sec: 97.52 - lr: 0.100000
2020-09-12 00:36:33,958 epoch 99 - iter 1260/1805 - loss 0.08996277 - samples/sec: 96.76 - lr: 0.100000
2020-09-12 00:37:42,237 epoch 99 - iter 1440/1805 - loss 0.09061468 - samples/sec: 84.39 - lr: 0.100000
2020-09-12 00:38:41,020 epoch 99 - iter 1620/1805 - loss 0.09025004 - samples/sec: 98.03 - lr: 0.100000
2020-09-12 00:39:39,943 epoch 99 - iter 1800/1805 - loss 0.09002547 - samples/sec: 97.80 - lr: 0.100000
2020-09-12 00:39:41,564 ----------------------------------------------------------------------------------------------------
2020-09-12 00:39:41,565 EPOCH 99 done: loss 0.0900 - lr 0.1000000
2020-09-12 00:39:41,565 BAD EPOCHS (no improvement): 3
2020-09-12 00:39:41,570 ----------------------------------------------------------------------------------------------------
2020-09-12 00:40:41,348 epoch 100 - iter 180/1805 - loss 0.08524708 - samples/sec: 96.40 - lr: 0.100000
2020-09-12 00:41:40,267 epoch 100 - iter 360/1805 - loss 0.08464266 - samples/sec: 97.81 - lr: 0.100000
2020-09-12 00:42:39,175 epoch 100 - iter 540/1805 - loss 0.08573867 - samples/sec: 97.82 - lr: 0.100000
2020-09-12 00:43:38,078 epoch 100 - iter 720/1805 - loss 0.08852375 - samples/sec: 97.83 - lr: 0.100000
2020-09-12 00:44:37,027 epoch 100 - iter 900/1805 - loss 0.09082089 - samples/sec: 97.76 - lr: 0.100000
2020-09-12 00:45:35,453 epoch 100 - iter 1080/1805 - loss 0.08990071 - samples/sec: 98.63 - lr: 0.100000
2020-09-12 00:46:33,770 epoch 100 - iter 1260/1805 - loss 0.08728849 - samples/sec: 98.82 - lr: 0.100000
2020-09-12 00:47:33,142 epoch 100 - iter 1440/1805 - loss 0.08739026 - samples/sec: 97.06 - lr: 0.100000
2020-09-12 00:48:32,255 epoch 100 - iter 1620/1805 - loss 0.08801847 - samples/sec: 97.48 - lr: 0.100000
2020-09-12 00:49:31,502 epoch 100 - iter 1800/1805 - loss 0.08828911 - samples/sec: 97.26 - lr: 0.100000
2020-09-12 00:49:33,166 ----------------------------------------------------------------------------------------------------
2020-09-12 00:49:33,166 EPOCH 100 done: loss 0.0886 - lr 0.1000000
2020-09-12 00:49:33,166 BAD EPOCHS (no improvement): 4
2020-09-12 00:49:33,181 ----------------------------------------------------------------------------------------------------
2020-09-12 00:50:33,219 epoch 101 - iter 180/1805 - loss 0.07831270 - samples/sec: 95.99 - lr: 0.050000
2020-09-12 00:51:31,373 epoch 101 - iter 360/1805 - loss 0.07655451 - samples/sec: 99.09 - lr: 0.050000
2020-09-12 00:52:29,599 epoch 101 - iter 540/1805 - loss 0.07643226 - samples/sec: 98.97 - lr: 0.050000
2020-09-12 00:53:29,041 epoch 101 - iter 720/1805 - loss 0.07615221 - samples/sec: 96.94 - lr: 0.050000
2020-09-12 00:54:28,855 epoch 101 - iter 900/1805 - loss 0.07746969 - samples/sec: 96.34 - lr: 0.050000
2020-09-12 00:55:28,037 epoch 101 - iter 1080/1805 - loss 0.07617948 - samples/sec: 97.37 - lr: 0.050000
2020-09-12 00:56:26,803 epoch 101 - iter 1260/1805 - loss 0.07596275 - samples/sec: 98.06 - lr: 0.050000
2020-09-12 00:57:25,704 epoch 101 - iter 1440/1805 - loss 0.07659908 - samples/sec: 97.83 - lr: 0.050000
2020-09-12 00:58:23,562 epoch 101 - iter 1620/1805 - loss 0.07722089 - samples/sec: 99.60 - lr: 0.050000
2020-09-12 00:59:22,823 epoch 101 - iter 1800/1805 - loss 0.07781441 - samples/sec: 97.24 - lr: 0.050000
2020-09-12 00:59:24,417 ----------------------------------------------------------------------------------------------------
2020-09-12 00:59:24,418 EPOCH 101 done: loss 0.0778 - lr 0.0500000
2020-09-12 00:59:24,418 BAD EPOCHS (no improvement): 0
2020-09-12 00:59:24,433 ----------------------------------------------------------------------------------------------------
2020-09-12 01:00:23,668 epoch 102 - iter 180/1805 - loss 0.06212320 - samples/sec: 97.29 - lr: 0.050000
2020-09-12 01:01:22,781 epoch 102 - iter 360/1805 - loss 0.06922978 - samples/sec: 97.48 - lr: 0.050000
2020-09-12 01:02:20,868 epoch 102 - iter 540/1805 - loss 0.06776811 - samples/sec: 99.21 - lr: 0.050000
2020-09-12 01:03:20,771 epoch 102 - iter 720/1805 - loss 0.06887928 - samples/sec: 96.20 - lr: 0.050000
2020-09-12 01:04:19,218 epoch 102 - iter 900/1805 - loss 0.06977888 - samples/sec: 98.60 - lr: 0.050000
2020-09-12 01:05:18,381 epoch 102 - iter 1080/1805 - loss 0.07267845 - samples/sec: 97.40 - lr: 0.050000
2020-09-12 01:06:17,364 epoch 102 - iter 1260/1805 - loss 0.07266869 - samples/sec: 97.70 - lr: 0.050000
2020-09-12 01:07:16,350 epoch 102 - iter 1440/1805 - loss 0.07231613 - samples/sec: 97.69 - lr: 0.050000
2020-09-12 01:08:14,845 epoch 102 - iter 1620/1805 - loss 0.07153173 - samples/sec: 98.51 - lr: 0.050000
2020-09-12 01:09:14,228 epoch 102 - iter 1800/1805 - loss 0.07220060 - samples/sec: 97.04 - lr: 0.050000
2020-09-12 01:09:15,847 ----------------------------------------------------------------------------------------------------
2020-09-12 01:09:15,847 EPOCH 102 done: loss 0.0722 - lr 0.0500000
2020-09-12 01:09:15,848 BAD EPOCHS (no improvement): 0
2020-09-12 01:09:15,850 ----------------------------------------------------------------------------------------------------
2020-09-12 01:10:14,771 epoch 103 - iter 180/1805 - loss 0.07513995 - samples/sec: 97.81 - lr: 0.050000
2020-09-12 01:11:14,005 epoch 103 - iter 360/1805 - loss 0.07273526 - samples/sec: 97.28 - lr: 0.050000
2020-09-12 01:12:12,589 epoch 103 - iter 540/1805 - loss 0.07178046 - samples/sec: 98.37 - lr: 0.050000
2020-09-12 01:13:10,532 epoch 103 - iter 720/1805 - loss 0.07048458 - samples/sec: 99.45 - lr: 0.050000
2020-09-12 01:14:09,579 epoch 103 - iter 900/1805 - loss 0.07120798 - samples/sec: 97.59 - lr: 0.050000
2020-09-12 01:15:09,073 epoch 103 - iter 1080/1805 - loss 0.07146673 - samples/sec: 96.86 - lr: 0.050000
2020-09-12 01:16:08,772 epoch 103 - iter 1260/1805 - loss 0.07133541 - samples/sec: 96.53 - lr: 0.050000
2020-09-12 01:17:06,869 epoch 103 - iter 1440/1805 - loss 0.07159079 - samples/sec: 99.19 - lr: 0.050000
2020-09-12 01:18:06,124 epoch 103 - iter 1620/1805 - loss 0.07196506 - samples/sec: 97.25 - lr: 0.050000
2020-09-12 01:19:05,178 epoch 103 - iter 1800/1805 - loss 0.07191019 - samples/sec: 97.58 - lr: 0.050000
2020-09-12 01:19:06,785 ----------------------------------------------------------------------------------------------------
2020-09-12 01:19:06,785 EPOCH 103 done: loss 0.0718 - lr 0.0500000
2020-09-12 01:19:06,785 BAD EPOCHS (no improvement): 0
2020-09-12 01:19:06,792 ----------------------------------------------------------------------------------------------------
2020-09-12 01:20:06,179 epoch 104 - iter 180/1805 - loss 0.07293948 - samples/sec: 97.04 - lr: 0.050000
2020-09-12 01:21:05,021 epoch 104 - iter 360/1805 - loss 0.06921484 - samples/sec: 97.93 - lr: 0.050000
2020-09-12 01:22:03,135 epoch 104 - iter 540/1805 - loss 0.06804416 - samples/sec: 99.16 - lr: 0.050000
2020-09-12 01:23:01,607 epoch 104 - iter 720/1805 - loss 0.06793048 - samples/sec: 98.55 - lr: 0.050000
2020-09-12 01:24:00,592 epoch 104 - iter 900/1805 - loss 0.06897826 - samples/sec: 97.70 - lr: 0.050000
2020-09-12 01:24:59,548 epoch 104 - iter 1080/1805 - loss 0.07002259 - samples/sec: 97.74 - lr: 0.050000
2020-09-12 01:25:58,223 epoch 104 - iter 1260/1805 - loss 0.07023678 - samples/sec: 98.21 - lr: 0.050000
2020-09-12 01:26:56,460 epoch 104 - iter 1440/1805 - loss 0.07036211 - samples/sec: 98.95 - lr: 0.050000
2020-09-12 01:27:56,237 epoch 104 - iter 1620/1805 - loss 0.06939960 - samples/sec: 96.40 - lr: 0.050000
2020-09-12 01:28:55,245 epoch 104 - iter 1800/1805 - loss 0.07047249 - samples/sec: 97.66 - lr: 0.050000
2020-09-12 01:28:56,928 ----------------------------------------------------------------------------------------------------
2020-09-12 01:28:56,928 EPOCH 104 done: loss 0.0704 - lr 0.0500000
2020-09-12 01:28:56,928 BAD EPOCHS (no improvement): 0
2020-09-12 01:28:56,931 ----------------------------------------------------------------------------------------------------
2020-09-12 01:30:04,063 epoch 105 - iter 180/1805 - loss 0.05990508 - samples/sec: 85.84 - lr: 0.050000
2020-09-12 01:31:01,921 epoch 105 - iter 360/1805 - loss 0.06375394 - samples/sec: 99.60 - lr: 0.050000
2020-09-12 01:32:02,092 epoch 105 - iter 540/1805 - loss 0.06589544 - samples/sec: 95.77 - lr: 0.050000
2020-09-12 01:33:01,209 epoch 105 - iter 720/1805 - loss 0.06601489 - samples/sec: 97.48 - lr: 0.050000
2020-09-12 01:34:00,573 epoch 105 - iter 900/1805 - loss 0.06677068 - samples/sec: 97.07 - lr: 0.050000
2020-09-12 01:34:59,256 epoch 105 - iter 1080/1805 - loss 0.06665728 - samples/sec: 98.20 - lr: 0.050000
2020-09-12 01:35:57,486 epoch 105 - iter 1260/1805 - loss 0.06781765 - samples/sec: 98.96 - lr: 0.050000
2020-09-12 01:36:56,009 epoch 105 - iter 1440/1805 - loss 0.06670000 - samples/sec: 98.47 - lr: 0.050000
2020-09-12 01:37:55,069 epoch 105 - iter 1620/1805 - loss 0.06668038 - samples/sec: 97.57 - lr: 0.050000
2020-09-12 01:38:54,533 epoch 105 - iter 1800/1805 - loss 0.06657821 - samples/sec: 96.91 - lr: 0.050000
2020-09-12 01:38:56,315 ----------------------------------------------------------------------------------------------------
2020-09-12 01:38:56,315 EPOCH 105 done: loss 0.0666 - lr 0.0500000
2020-09-12 01:38:56,315 BAD EPOCHS (no improvement): 0
2020-09-12 01:38:56,321 ----------------------------------------------------------------------------------------------------
2020-09-12 01:39:54,648 epoch 106 - iter 180/1805 - loss 0.06138839 - samples/sec: 98.80 - lr: 0.050000
2020-09-12 01:40:54,962 epoch 106 - iter 360/1805 - loss 0.06549069 - samples/sec: 95.54 - lr: 0.050000
2020-09-12 01:41:53,918 epoch 106 - iter 540/1805 - loss 0.06559129 - samples/sec: 97.74 - lr: 0.050000
2020-09-12 01:42:53,209 epoch 106 - iter 720/1805 - loss 0.06724682 - samples/sec: 97.19 - lr: 0.050000
2020-09-12 01:43:52,268 epoch 106 - iter 900/1805 - loss 0.06729305 - samples/sec: 97.57 - lr: 0.050000
2020-09-12 01:44:50,945 epoch 106 - iter 1080/1805 - loss 0.06769863 - samples/sec: 98.21 - lr: 0.050000
2020-09-12 01:45:50,229 epoch 106 - iter 1260/1805 - loss 0.06717527 - samples/sec: 97.20 - lr: 0.050000
2020-09-12 01:46:49,004 epoch 106 - iter 1440/1805 - loss 0.06634166 - samples/sec: 98.04 - lr: 0.050000
2020-09-12 01:47:46,963 epoch 106 - iter 1620/1805 - loss 0.06655550 - samples/sec: 99.43 - lr: 0.050000
2020-09-12 01:48:45,527 epoch 106 - iter 1800/1805 - loss 0.06692978 - samples/sec: 98.40 - lr: 0.050000
2020-09-12 01:48:47,048 ----------------------------------------------------------------------------------------------------
2020-09-12 01:48:47,048 EPOCH 106 done: loss 0.0669 - lr 0.0500000
2020-09-12 01:48:47,048 BAD EPOCHS (no improvement): 1
2020-09-12 01:48:47,057 ----------------------------------------------------------------------------------------------------
2020-09-12 01:49:45,506 epoch 107 - iter 180/1805 - loss 0.06865989 - samples/sec: 98.59 - lr: 0.050000
2020-09-12 01:50:44,499 epoch 107 - iter 360/1805 - loss 0.07058403 - samples/sec: 97.68 - lr: 0.050000
2020-09-12 01:51:42,537 epoch 107 - iter 540/1805 - loss 0.06864007 - samples/sec: 99.29 - lr: 0.050000
2020-09-12 01:52:41,721 epoch 107 - iter 720/1805 - loss 0.06914157 - samples/sec: 97.37 - lr: 0.050000
2020-09-12 01:53:40,434 epoch 107 - iter 900/1805 - loss 0.06941493 - samples/sec: 98.15 - lr: 0.050000
2020-09-12 01:54:39,785 epoch 107 - iter 1080/1805 - loss 0.07011020 - samples/sec: 97.09 - lr: 0.050000
2020-09-12 01:55:38,240 epoch 107 - iter 1260/1805 - loss 0.06916122 - samples/sec: 98.58 - lr: 0.050000
2020-09-12 01:56:37,066 epoch 107 - iter 1440/1805 - loss 0.06923390 - samples/sec: 97.96 - lr: 0.050000
2020-09-12 01:57:36,029 epoch 107 - iter 1620/1805 - loss 0.06868192 - samples/sec: 97.73 - lr: 0.050000
2020-09-12 01:58:34,973 epoch 107 - iter 1800/1805 - loss 0.06861486 - samples/sec: 97.76 - lr: 0.050000
2020-09-12 01:58:36,636 ----------------------------------------------------------------------------------------------------
2020-09-12 01:58:36,636 EPOCH 107 done: loss 0.0688 - lr 0.0500000
2020-09-12 01:58:36,636 BAD EPOCHS (no improvement): 2
2020-09-12 01:58:36,643 ----------------------------------------------------------------------------------------------------
2020-09-12 01:59:35,132 epoch 108 - iter 180/1805 - loss 0.06962510 - samples/sec: 98.53 - lr: 0.050000
2020-09-12 02:00:33,749 epoch 108 - iter 360/1805 - loss 0.06494310 - samples/sec: 98.31 - lr: 0.050000
2020-09-12 02:01:32,429 epoch 108 - iter 540/1805 - loss 0.06081252 - samples/sec: 98.20 - lr: 0.050000
2020-09-12 02:02:30,874 epoch 108 - iter 720/1805 - loss 0.06290757 - samples/sec: 98.60 - lr: 0.050000
2020-09-12 02:03:30,669 epoch 108 - iter 900/1805 - loss 0.06343299 - samples/sec: 96.37 - lr: 0.050000
2020-09-12 02:04:29,610 epoch 108 - iter 1080/1805 - loss 0.06333732 - samples/sec: 97.77 - lr: 0.050000
2020-09-12 02:05:29,286 epoch 108 - iter 1260/1805 - loss 0.06174170 - samples/sec: 96.56 - lr: 0.050000
2020-09-12 02:06:28,527 epoch 108 - iter 1440/1805 - loss 0.06274508 - samples/sec: 97.27 - lr: 0.050000
2020-09-12 02:07:26,943 epoch 108 - iter 1620/1805 - loss 0.06313010 - samples/sec: 98.65 - lr: 0.050000
2020-09-12 02:08:25,264 epoch 108 - iter 1800/1805 - loss 0.06365393 - samples/sec: 98.81 - lr: 0.050000
2020-09-12 02:08:26,970 ----------------------------------------------------------------------------------------------------
2020-09-12 02:08:26,971 EPOCH 108 done: loss 0.0635 - lr 0.0500000
2020-09-12 02:08:26,971 BAD EPOCHS (no improvement): 0
2020-09-12 02:08:26,975 ----------------------------------------------------------------------------------------------------
2020-09-12 02:09:26,668 epoch 109 - iter 180/1805 - loss 0.07359149 - samples/sec: 96.54 - lr: 0.050000
2020-09-12 02:10:26,466 epoch 109 - iter 360/1805 - loss 0.07186076 - samples/sec: 96.37 - lr: 0.050000
2020-09-12 02:11:25,817 epoch 109 - iter 540/1805 - loss 0.06774793 - samples/sec: 97.10 - lr: 0.050000
2020-09-12 02:12:24,989 epoch 109 - iter 720/1805 - loss 0.06456127 - samples/sec: 97.39 - lr: 0.050000
2020-09-12 02:13:24,557 epoch 109 - iter 900/1805 - loss 0.06433146 - samples/sec: 96.74 - lr: 0.050000
2020-09-12 02:14:24,484 epoch 109 - iter 1080/1805 - loss 0.06298630 - samples/sec: 96.16 - lr: 0.050000
2020-09-12 02:15:23,746 epoch 109 - iter 1260/1805 - loss 0.06359578 - samples/sec: 97.24 - lr: 0.050000
2020-09-12 02:16:23,061 epoch 109 - iter 1440/1805 - loss 0.06422652 - samples/sec: 97.15 - lr: 0.050000
2020-09-12 02:17:21,717 epoch 109 - iter 1620/1805 - loss 0.06441443 - samples/sec: 98.25 - lr: 0.050000
2020-09-12 02:18:21,070 epoch 109 - iter 1800/1805 - loss 0.06482335 - samples/sec: 97.09 - lr: 0.050000
2020-09-12 02:18:22,767 ----------------------------------------------------------------------------------------------------
2020-09-12 02:18:22,768 EPOCH 109 done: loss 0.0647 - lr 0.0500000
2020-09-12 02:18:22,768 BAD EPOCHS (no improvement): 1
2020-09-12 02:18:22,789 ----------------------------------------------------------------------------------------------------
2020-09-12 02:19:22,441 epoch 110 - iter 180/1805 - loss 0.06183893 - samples/sec: 96.61 - lr: 0.050000
2020-09-12 02:20:21,946 epoch 110 - iter 360/1805 - loss 0.06045675 - samples/sec: 96.85 - lr: 0.050000
2020-09-12 02:21:21,833 epoch 110 - iter 540/1805 - loss 0.06345138 - samples/sec: 96.23 - lr: 0.050000
2020-09-12 02:22:30,783 epoch 110 - iter 720/1805 - loss 0.06635851 - samples/sec: 83.57 - lr: 0.050000
2020-09-12 02:23:31,058 epoch 110 - iter 900/1805 - loss 0.06434054 - samples/sec: 95.61 - lr: 0.050000
2020-09-12 02:24:30,450 epoch 110 - iter 1080/1805 - loss 0.06473396 - samples/sec: 97.03 - lr: 0.050000
2020-09-12 02:25:29,831 epoch 110 - iter 1260/1805 - loss 0.06343859 - samples/sec: 97.05 - lr: 0.050000
2020-09-12 02:26:28,443 epoch 110 - iter 1440/1805 - loss 0.06367520 - samples/sec: 98.32 - lr: 0.050000
2020-09-12 02:27:27,324 epoch 110 - iter 1620/1805 - loss 0.06434346 - samples/sec: 97.87 - lr: 0.050000
2020-09-12 02:28:25,951 epoch 110 - iter 1800/1805 - loss 0.06438298 - samples/sec: 98.29 - lr: 0.050000
2020-09-12 02:28:27,571 ----------------------------------------------------------------------------------------------------
2020-09-12 02:28:27,571 EPOCH 110 done: loss 0.0643 - lr 0.0500000
2020-09-12 02:28:27,571 BAD EPOCHS (no improvement): 2
2020-09-12 02:28:27,577 ----------------------------------------------------------------------------------------------------
2020-09-12 02:29:25,861 epoch 111 - iter 180/1805 - loss 0.04432573 - samples/sec: 98.88 - lr: 0.050000
2020-09-12 02:30:24,450 epoch 111 - iter 360/1805 - loss 0.05497836 - samples/sec: 98.36 - lr: 0.050000
2020-09-12 02:31:23,099 epoch 111 - iter 540/1805 - loss 0.05831866 - samples/sec: 98.26 - lr: 0.050000
2020-09-12 02:32:21,809 epoch 111 - iter 720/1805 - loss 0.05983416 - samples/sec: 98.15 - lr: 0.050000
2020-09-12 02:33:20,463 epoch 111 - iter 900/1805 - loss 0.06284824 - samples/sec: 98.25 - lr: 0.050000
2020-09-12 02:34:19,302 epoch 111 - iter 1080/1805 - loss 0.06259979 - samples/sec: 97.94 - lr: 0.050000
2020-09-12 02:35:18,071 epoch 111 - iter 1260/1805 - loss 0.06333996 - samples/sec: 98.05 - lr: 0.050000
2020-09-12 02:36:16,634 epoch 111 - iter 1440/1805 - loss 0.06406021 - samples/sec: 98.40 - lr: 0.050000
2020-09-12 02:37:16,046 epoch 111 - iter 1620/1805 - loss 0.06469598 - samples/sec: 96.99 - lr: 0.050000
2020-09-12 02:38:14,843 epoch 111 - iter 1800/1805 - loss 0.06429710 - samples/sec: 98.01 - lr: 0.050000
2020-09-12 02:38:16,621 ----------------------------------------------------------------------------------------------------
2020-09-12 02:38:16,622 EPOCH 111 done: loss 0.0642 - lr 0.0500000
2020-09-12 02:38:16,622 BAD EPOCHS (no improvement): 3
2020-09-12 02:38:16,624 ----------------------------------------------------------------------------------------------------
2020-09-12 02:39:15,025 epoch 112 - iter 180/1805 - loss 0.06461100 - samples/sec: 98.68 - lr: 0.050000
2020-09-12 02:40:14,133 epoch 112 - iter 360/1805 - loss 0.06564038 - samples/sec: 97.49 - lr: 0.050000
2020-09-12 02:41:13,124 epoch 112 - iter 540/1805 - loss 0.06484003 - samples/sec: 97.68 - lr: 0.050000
2020-09-12 02:42:12,689 epoch 112 - iter 720/1805 - loss 0.06265979 - samples/sec: 96.74 - lr: 0.050000
2020-09-12 02:43:11,107 epoch 112 - iter 900/1805 - loss 0.06470518 - samples/sec: 98.64 - lr: 0.050000
2020-09-12 02:44:10,009 epoch 112 - iter 1080/1805 - loss 0.06568011 - samples/sec: 97.83 - lr: 0.050000
2020-09-12 02:45:08,248 epoch 112 - iter 1260/1805 - loss 0.06498769 - samples/sec: 98.95 - lr: 0.050000
2020-09-12 02:46:06,756 epoch 112 - iter 1440/1805 - loss 0.06460436 - samples/sec: 98.49 - lr: 0.050000
2020-09-12 02:47:06,187 epoch 112 - iter 1620/1805 - loss 0.06376188 - samples/sec: 96.96 - lr: 0.050000
2020-09-12 02:48:05,308 epoch 112 - iter 1800/1805 - loss 0.06341188 - samples/sec: 97.47 - lr: 0.050000
2020-09-12 02:48:06,818 ----------------------------------------------------------------------------------------------------
2020-09-12 02:48:06,818 EPOCH 112 done: loss 0.0634 - lr 0.0500000
2020-09-12 02:48:06,819 BAD EPOCHS (no improvement): 0
2020-09-12 02:48:06,825 ----------------------------------------------------------------------------------------------------
2020-09-12 02:49:05,445 epoch 113 - iter 180/1805 - loss 0.06192404 - samples/sec: 98.31 - lr: 0.050000
2020-09-12 02:50:04,400 epoch 113 - iter 360/1805 - loss 0.06188995 - samples/sec: 97.75 - lr: 0.050000
2020-09-12 02:51:03,852 epoch 113 - iter 540/1805 - loss 0.06260587 - samples/sec: 96.93 - lr: 0.050000
2020-09-12 02:52:02,784 epoch 113 - iter 720/1805 - loss 0.06289966 - samples/sec: 97.78 - lr: 0.050000
2020-09-12 02:53:01,993 epoch 113 - iter 900/1805 - loss 0.06146648 - samples/sec: 97.32 - lr: 0.050000
2020-09-12 02:54:01,150 epoch 113 - iter 1080/1805 - loss 0.06160393 - samples/sec: 97.41 - lr: 0.050000
2020-09-12 02:55:00,147 epoch 113 - iter 1260/1805 - loss 0.06067893 - samples/sec: 97.68 - lr: 0.050000
2020-09-12 02:55:59,466 epoch 113 - iter 1440/1805 - loss 0.06063537 - samples/sec: 97.15 - lr: 0.050000
2020-09-12 02:56:58,767 epoch 113 - iter 1620/1805 - loss 0.06110191 - samples/sec: 97.17 - lr: 0.050000
2020-09-12 02:57:57,039 epoch 113 - iter 1800/1805 - loss 0.06144406 - samples/sec: 98.89 - lr: 0.050000
2020-09-12 02:57:58,659 ----------------------------------------------------------------------------------------------------
2020-09-12 02:57:58,659 EPOCH 113 done: loss 0.0615 - lr 0.0500000
2020-09-12 02:57:58,659 BAD EPOCHS (no improvement): 0
2020-09-12 02:57:58,662 ----------------------------------------------------------------------------------------------------
2020-09-12 02:58:57,622 epoch 114 - iter 180/1805 - loss 0.06348650 - samples/sec: 97.74 - lr: 0.050000
2020-09-12 02:59:55,354 epoch 114 - iter 360/1805 - loss 0.06074687 - samples/sec: 99.82 - lr: 0.050000
2020-09-12 03:00:55,176 epoch 114 - iter 540/1805 - loss 0.06324473 - samples/sec: 96.33 - lr: 0.050000
2020-09-12 03:01:54,622 epoch 114 - iter 720/1805 - loss 0.06005789 - samples/sec: 96.94 - lr: 0.050000
2020-09-12 03:02:52,980 epoch 114 - iter 900/1805 - loss 0.06103112 - samples/sec: 98.74 - lr: 0.050000
2020-09-12 03:03:51,792 epoch 114 - iter 1080/1805 - loss 0.06018827 - samples/sec: 97.98 - lr: 0.050000
2020-09-12 03:04:50,122 epoch 114 - iter 1260/1805 - loss 0.06127247 - samples/sec: 98.79 - lr: 0.050000
2020-09-12 03:05:48,416 epoch 114 - iter 1440/1805 - loss 0.06166306 - samples/sec: 98.85 - lr: 0.050000
2020-09-12 03:06:48,019 epoch 114 - iter 1620/1805 - loss 0.06286108 - samples/sec: 96.68 - lr: 0.050000
2020-09-12 03:07:46,669 epoch 114 - iter 1800/1805 - loss 0.06306407 - samples/sec: 98.25 - lr: 0.050000
2020-09-12 03:07:48,234 ----------------------------------------------------------------------------------------------------
2020-09-12 03:07:48,234 EPOCH 114 done: loss 0.0629 - lr 0.0500000
2020-09-12 03:07:48,234 BAD EPOCHS (no improvement): 1
2020-09-12 03:07:48,242 ----------------------------------------------------------------------------------------------------
2020-09-12 03:08:47,950 epoch 115 - iter 180/1805 - loss 0.05554593 - samples/sec: 96.52 - lr: 0.050000
2020-09-12 03:09:46,361 epoch 115 - iter 360/1805 - loss 0.06331170 - samples/sec: 98.66 - lr: 0.050000
2020-09-12 03:10:45,328 epoch 115 - iter 540/1805 - loss 0.06268043 - samples/sec: 97.72 - lr: 0.050000
2020-09-12 03:11:44,644 epoch 115 - iter 720/1805 - loss 0.06236902 - samples/sec: 97.15 - lr: 0.050000
2020-09-12 03:12:42,554 epoch 115 - iter 900/1805 - loss 0.06209740 - samples/sec: 99.51 - lr: 0.050000
2020-09-12 03:13:50,455 epoch 115 - iter 1080/1805 - loss 0.06208145 - samples/sec: 84.86 - lr: 0.050000
2020-09-12 03:14:49,840 epoch 115 - iter 1260/1805 - loss 0.06217612 - samples/sec: 97.04 - lr: 0.050000
2020-09-12 03:15:49,199 epoch 115 - iter 1440/1805 - loss 0.06251132 - samples/sec: 97.08 - lr: 0.050000
2020-09-12 03:16:47,779 epoch 115 - iter 1620/1805 - loss 0.06233154 - samples/sec: 98.37 - lr: 0.050000
2020-09-12 03:17:46,416 epoch 115 - iter 1800/1805 - loss 0.06319181 - samples/sec: 98.27 - lr: 0.050000
2020-09-12 03:17:48,038 ----------------------------------------------------------------------------------------------------
2020-09-12 03:17:48,038 EPOCH 115 done: loss 0.0634 - lr 0.0500000
2020-09-12 03:17:48,038 BAD EPOCHS (no improvement): 2
2020-09-12 03:17:48,044 ----------------------------------------------------------------------------------------------------
2020-09-12 03:18:47,322 epoch 116 - iter 180/1805 - loss 0.05009817 - samples/sec: 97.22 - lr: 0.050000
2020-09-12 03:19:46,318 epoch 116 - iter 360/1805 - loss 0.05450450 - samples/sec: 97.68 - lr: 0.050000
2020-09-12 03:20:44,620 epoch 116 - iter 540/1805 - loss 0.05689846 - samples/sec: 98.84 - lr: 0.050000
2020-09-12 03:21:43,788 epoch 116 - iter 720/1805 - loss 0.05871520 - samples/sec: 97.39 - lr: 0.050000
2020-09-12 03:22:42,645 epoch 116 - iter 900/1805 - loss 0.06050360 - samples/sec: 97.91 - lr: 0.050000
2020-09-12 03:23:40,875 epoch 116 - iter 1080/1805 - loss 0.06177335 - samples/sec: 98.96 - lr: 0.050000
2020-09-12 03:24:39,514 epoch 116 - iter 1260/1805 - loss 0.06141474 - samples/sec: 98.27 - lr: 0.050000
2020-09-12 03:25:38,838 epoch 116 - iter 1440/1805 - loss 0.06114856 - samples/sec: 97.14 - lr: 0.050000
2020-09-12 03:26:37,571 epoch 116 - iter 1620/1805 - loss 0.06187057 - samples/sec: 98.12 - lr: 0.050000
2020-09-12 03:27:37,092 epoch 116 - iter 1800/1805 - loss 0.06228253 - samples/sec: 96.81 - lr: 0.050000
2020-09-12 03:27:38,669 ----------------------------------------------------------------------------------------------------
2020-09-12 03:27:38,669 EPOCH 116 done: loss 0.0622 - lr 0.0500000
2020-09-12 03:27:38,669 BAD EPOCHS (no improvement): 3
2020-09-12 03:27:38,672 ----------------------------------------------------------------------------------------------------
2020-09-12 03:28:37,498 epoch 117 - iter 180/1805 - loss 0.05399702 - samples/sec: 97.96 - lr: 0.050000
2020-09-12 03:29:36,395 epoch 117 - iter 360/1805 - loss 0.05636553 - samples/sec: 97.84 - lr: 0.050000
2020-09-12 03:30:35,653 epoch 117 - iter 540/1805 - loss 0.05930695 - samples/sec: 97.25 - lr: 0.050000
2020-09-12 03:31:35,000 epoch 117 - iter 720/1805 - loss 0.05805087 - samples/sec: 97.10 - lr: 0.050000
2020-09-12 03:32:34,326 epoch 117 - iter 900/1805 - loss 0.06076728 - samples/sec: 97.13 - lr: 0.050000
2020-09-12 03:33:32,365 epoch 117 - iter 1080/1805 - loss 0.06132481 - samples/sec: 99.29 - lr: 0.050000
2020-09-12 03:34:31,156 epoch 117 - iter 1260/1805 - loss 0.06145049 - samples/sec: 98.02 - lr: 0.050000
2020-09-12 03:35:30,159 epoch 117 - iter 1440/1805 - loss 0.06144723 - samples/sec: 97.67 - lr: 0.050000
2020-09-12 03:36:28,690 epoch 117 - iter 1620/1805 - loss 0.06388146 - samples/sec: 98.46 - lr: 0.050000
2020-09-12 03:37:28,373 epoch 117 - iter 1800/1805 - loss 0.06557759 - samples/sec: 96.55 - lr: 0.050000
2020-09-12 03:37:29,942 ----------------------------------------------------------------------------------------------------
2020-09-12 03:37:29,943 EPOCH 117 done: loss 0.0656 - lr 0.0500000
2020-09-12 03:37:29,943 BAD EPOCHS (no improvement): 4
2020-09-12 03:37:29,948 ----------------------------------------------------------------------------------------------------
2020-09-12 03:38:29,618 epoch 118 - iter 180/1805 - loss 0.06385574 - samples/sec: 96.58 - lr: 0.025000
2020-09-12 03:39:27,906 epoch 118 - iter 360/1805 - loss 0.05898659 - samples/sec: 98.87 - lr: 0.025000
2020-09-12 03:40:27,141 epoch 118 - iter 540/1805 - loss 0.06056819 - samples/sec: 97.28 - lr: 0.025000
2020-09-12 03:41:26,929 epoch 118 - iter 720/1805 - loss 0.05832383 - samples/sec: 96.38 - lr: 0.025000
2020-09-12 03:42:25,390 epoch 118 - iter 900/1805 - loss 0.05855224 - samples/sec: 98.57 - lr: 0.025000
2020-09-12 03:43:23,924 epoch 118 - iter 1080/1805 - loss 0.05817787 - samples/sec: 98.45 - lr: 0.025000
2020-09-12 03:44:23,549 epoch 118 - iter 1260/1805 - loss 0.05793609 - samples/sec: 96.65 - lr: 0.025000
2020-09-12 03:45:22,547 epoch 118 - iter 1440/1805 - loss 0.05839619 - samples/sec: 97.67 - lr: 0.025000
2020-09-12 03:46:22,013 epoch 118 - iter 1620/1805 - loss 0.05858626 - samples/sec: 96.90 - lr: 0.025000
2020-09-12 03:47:21,118 epoch 118 - iter 1800/1805 - loss 0.05852097 - samples/sec: 97.50 - lr: 0.025000
2020-09-12 03:47:22,822 ----------------------------------------------------------------------------------------------------
2020-09-12 03:47:22,822 EPOCH 118 done: loss 0.0585 - lr 0.0250000
2020-09-12 03:47:22,822 BAD EPOCHS (no improvement): 0
2020-09-12 03:47:22,825 ----------------------------------------------------------------------------------------------------
2020-09-12 03:48:22,677 epoch 119 - iter 180/1805 - loss 0.06154351 - samples/sec: 96.28 - lr: 0.025000
2020-09-12 03:49:21,116 epoch 119 - iter 360/1805 - loss 0.06014410 - samples/sec: 98.61 - lr: 0.025000
2020-09-12 03:50:20,205 epoch 119 - iter 540/1805 - loss 0.05883454 - samples/sec: 97.52 - lr: 0.025000
2020-09-12 03:51:19,224 epoch 119 - iter 720/1805 - loss 0.05969965 - samples/sec: 97.64 - lr: 0.025000
2020-09-12 03:52:18,821 epoch 119 - iter 900/1805 - loss 0.05908929 - samples/sec: 96.69 - lr: 0.025000
2020-09-12 03:53:17,853 epoch 119 - iter 1080/1805 - loss 0.05792278 - samples/sec: 97.62 - lr: 0.025000
2020-09-12 03:54:16,667 epoch 119 - iter 1260/1805 - loss 0.05876165 - samples/sec: 97.98 - lr: 0.025000
2020-09-12 03:55:16,012 epoch 119 - iter 1440/1805 - loss 0.05866282 - samples/sec: 97.10 - lr: 0.025000
2020-09-12 03:56:14,722 epoch 119 - iter 1620/1805 - loss 0.05892130 - samples/sec: 98.15 - lr: 0.025000
2020-09-12 03:57:13,512 epoch 119 - iter 1800/1805 - loss 0.05887952 - samples/sec: 98.02 - lr: 0.025000
2020-09-12 03:57:15,072 ----------------------------------------------------------------------------------------------------
2020-09-12 03:57:15,072 EPOCH 119 done: loss 0.0589 - lr 0.0250000
2020-09-12 03:57:15,072 BAD EPOCHS (no improvement): 1
2020-09-12 03:57:15,078 ----------------------------------------------------------------------------------------------------
2020-09-12 03:58:13,443 epoch 120 - iter 180/1805 - loss 0.04945365 - samples/sec: 98.74 - lr: 0.025000
2020-09-12 03:59:11,333 epoch 120 - iter 360/1805 - loss 0.05112261 - samples/sec: 99.54 - lr: 0.025000
2020-09-12 04:00:10,343 epoch 120 - iter 540/1805 - loss 0.05750601 - samples/sec: 97.65 - lr: 0.025000
2020-09-12 04:01:09,959 epoch 120 - iter 720/1805 - loss 0.05601284 - samples/sec: 96.66 - lr: 0.025000
2020-09-12 04:02:08,868 epoch 120 - iter 900/1805 - loss 0.05642871 - samples/sec: 97.82 - lr: 0.025000
2020-09-12 04:03:07,521 epoch 120 - iter 1080/1805 - loss 0.05699428 - samples/sec: 98.25 - lr: 0.025000
2020-09-12 04:04:06,620 epoch 120 - iter 1260/1805 - loss 0.05687621 - samples/sec: 97.51 - lr: 0.025000
2020-09-12 04:05:05,669 epoch 120 - iter 1440/1805 - loss 0.05787642 - samples/sec: 97.59 - lr: 0.025000
2020-09-12 04:06:15,017 epoch 120 - iter 1620/1805 - loss 0.05777451 - samples/sec: 83.09 - lr: 0.025000
2020-09-12 04:07:13,956 epoch 120 - iter 1800/1805 - loss 0.05692002 - samples/sec: 97.77 - lr: 0.025000
2020-09-12 04:07:15,606 ----------------------------------------------------------------------------------------------------
2020-09-12 04:07:15,606 EPOCH 120 done: loss 0.0569 - lr 0.0250000
2020-09-12 04:07:15,606 BAD EPOCHS (no improvement): 0
2020-09-12 04:07:15,616 ----------------------------------------------------------------------------------------------------
2020-09-12 04:08:14,944 epoch 121 - iter 180/1805 - loss 0.05292806 - samples/sec: 97.13 - lr: 0.025000
2020-09-12 04:09:14,005 epoch 121 - iter 360/1805 - loss 0.05502423 - samples/sec: 97.57 - lr: 0.025000
2020-09-12 04:10:13,365 epoch 121 - iter 540/1805 - loss 0.05559341 - samples/sec: 97.08 - lr: 0.025000
2020-09-12 04:11:12,622 epoch 121 - iter 720/1805 - loss 0.05573773 - samples/sec: 97.25 - lr: 0.025000
2020-09-12 04:12:11,918 epoch 121 - iter 900/1805 - loss 0.05500984 - samples/sec: 97.19 - lr: 0.025000
2020-09-12 04:13:11,642 epoch 121 - iter 1080/1805 - loss 0.05554342 - samples/sec: 96.49 - lr: 0.025000
2020-09-12 04:14:10,942 epoch 121 - iter 1260/1805 - loss 0.05567501 - samples/sec: 97.18 - lr: 0.025000
2020-09-12 04:15:09,954 epoch 121 - iter 1440/1805 - loss 0.05542033 - samples/sec: 97.65 - lr: 0.025000
2020-09-12 04:16:08,541 epoch 121 - iter 1620/1805 - loss 0.05597786 - samples/sec: 98.36 - lr: 0.025000
2020-09-12 04:17:07,453 epoch 121 - iter 1800/1805 - loss 0.05575505 - samples/sec: 97.82 - lr: 0.025000
2020-09-12 04:17:09,145 ----------------------------------------------------------------------------------------------------
2020-09-12 04:17:09,146 EPOCH 121 done: loss 0.0558 - lr 0.0250000
2020-09-12 04:17:09,146 BAD EPOCHS (no improvement): 0
2020-09-12 04:17:09,181 ----------------------------------------------------------------------------------------------------
2020-09-12 04:18:08,382 epoch 122 - iter 180/1805 - loss 0.06149391 - samples/sec: 97.34 - lr: 0.025000
2020-09-12 04:19:07,913 epoch 122 - iter 360/1805 - loss 0.05884141 - samples/sec: 96.80 - lr: 0.025000
2020-09-12 04:20:06,754 epoch 122 - iter 540/1805 - loss 0.05952823 - samples/sec: 97.93 - lr: 0.025000
2020-09-12 04:21:06,488 epoch 122 - iter 720/1805 - loss 0.05913033 - samples/sec: 96.47 - lr: 0.025000
2020-09-12 04:22:06,091 epoch 122 - iter 900/1805 - loss 0.05880301 - samples/sec: 96.68 - lr: 0.025000
2020-09-12 04:23:05,178 epoch 122 - iter 1080/1805 - loss 0.05821793 - samples/sec: 97.53 - lr: 0.025000
2020-09-12 04:24:03,814 epoch 122 - iter 1260/1805 - loss 0.05748727 - samples/sec: 98.28 - lr: 0.025000
2020-09-12 04:25:04,060 epoch 122 - iter 1440/1805 - loss 0.05738887 - samples/sec: 95.65 - lr: 0.025000
2020-09-12 04:26:03,177 epoch 122 - iter 1620/1805 - loss 0.05685531 - samples/sec: 97.48 - lr: 0.025000
2020-09-12 04:27:01,881 epoch 122 - iter 1800/1805 - loss 0.05719924 - samples/sec: 98.16 - lr: 0.025000
2020-09-12 04:27:03,293 ----------------------------------------------------------------------------------------------------
2020-09-12 04:27:03,294 EPOCH 122 done: loss 0.0571 - lr 0.0250000
2020-09-12 04:27:03,294 BAD EPOCHS (no improvement): 1
2020-09-12 04:27:03,300 ----------------------------------------------------------------------------------------------------
2020-09-12 04:28:02,813 epoch 123 - iter 180/1805 - loss 0.05671993 - samples/sec: 96.83 - lr: 0.025000
2020-09-12 04:29:02,219 epoch 123 - iter 360/1805 - loss 0.05734706 - samples/sec: 97.00 - lr: 0.025000
2020-09-12 04:30:00,265 epoch 123 - iter 540/1805 - loss 0.05609693 - samples/sec: 99.28 - lr: 0.025000
2020-09-12 04:30:59,362 epoch 123 - iter 720/1805 - loss 0.05593457 - samples/sec: 97.51 - lr: 0.025000
2020-09-12 04:31:59,178 epoch 123 - iter 900/1805 - loss 0.05630098 - samples/sec: 96.34 - lr: 0.025000
2020-09-12 04:32:57,631 epoch 123 - iter 1080/1805 - loss 0.05752652 - samples/sec: 98.58 - lr: 0.025000
2020-09-12 04:33:56,404 epoch 123 - iter 1260/1805 - loss 0.05508537 - samples/sec: 98.05 - lr: 0.025000
2020-09-12 04:34:56,003 epoch 123 - iter 1440/1805 - loss 0.05537919 - samples/sec: 96.69 - lr: 0.025000
2020-09-12 04:35:55,290 epoch 123 - iter 1620/1805 - loss 0.05651441 - samples/sec: 97.20 - lr: 0.025000
2020-09-12 04:36:54,319 epoch 123 - iter 1800/1805 - loss 0.05587195 - samples/sec: 97.62 - lr: 0.025000
2020-09-12 04:36:56,022 ----------------------------------------------------------------------------------------------------
2020-09-12 04:36:56,023 EPOCH 123 done: loss 0.0558 - lr 0.0250000
2020-09-12 04:36:56,023 BAD EPOCHS (no improvement): 2
2020-09-12 04:36:56,025 ----------------------------------------------------------------------------------------------------
2020-09-12 04:37:54,550 epoch 124 - iter 180/1805 - loss 0.04834812 - samples/sec: 98.47 - lr: 0.025000
2020-09-12 04:38:53,892 epoch 124 - iter 360/1805 - loss 0.04920765 - samples/sec: 97.11 - lr: 0.025000
2020-09-12 04:39:52,642 epoch 124 - iter 540/1805 - loss 0.04902120 - samples/sec: 98.09 - lr: 0.025000
2020-09-12 04:40:52,207 epoch 124 - iter 720/1805 - loss 0.04960722 - samples/sec: 96.74 - lr: 0.025000
2020-09-12 04:41:52,270 epoch 124 - iter 900/1805 - loss 0.05118725 - samples/sec: 95.94 - lr: 0.025000
2020-09-12 04:42:51,171 epoch 124 - iter 1080/1805 - loss 0.05093981 - samples/sec: 97.84 - lr: 0.025000
2020-09-12 04:43:50,222 epoch 124 - iter 1260/1805 - loss 0.05141327 - samples/sec: 97.59 - lr: 0.025000
2020-09-12 04:44:48,665 epoch 124 - iter 1440/1805 - loss 0.05224536 - samples/sec: 98.60 - lr: 0.025000
2020-09-12 04:45:48,212 epoch 124 - iter 1620/1805 - loss 0.05232861 - samples/sec: 96.77 - lr: 0.025000
2020-09-12 04:46:46,917 epoch 124 - iter 1800/1805 - loss 0.05284020 - samples/sec: 98.16 - lr: 0.025000
2020-09-12 04:46:48,526 ----------------------------------------------------------------------------------------------------
2020-09-12 04:46:48,527 EPOCH 124 done: loss 0.0528 - lr 0.0250000
2020-09-12 04:46:48,527 BAD EPOCHS (no improvement): 0
2020-09-12 04:46:48,535 ----------------------------------------------------------------------------------------------------
2020-09-12 04:47:50,317 epoch 125 - iter 180/1805 - loss 0.05357543 - samples/sec: 93.28 - lr: 0.025000
2020-09-12 04:48:52,253 epoch 125 - iter 360/1805 - loss 0.05670485 - samples/sec: 93.04 - lr: 0.025000
2020-09-12 04:49:54,458 epoch 125 - iter 540/1805 - loss 0.05443247 - samples/sec: 92.63 - lr: 0.025000
2020-09-12 04:50:53,718 epoch 125 - iter 720/1805 - loss 0.05465840 - samples/sec: 97.24 - lr: 0.025000
2020-09-12 04:51:52,526 epoch 125 - iter 900/1805 - loss 0.05532714 - samples/sec: 97.99 - lr: 0.025000
2020-09-12 04:52:52,169 epoch 125 - iter 1080/1805 - loss 0.05601704 - samples/sec: 96.62 - lr: 0.025000
2020-09-12 04:53:51,944 epoch 125 - iter 1260/1805 - loss 0.05552498 - samples/sec: 96.40 - lr: 0.025000
2020-09-12 04:54:50,445 epoch 125 - iter 1440/1805 - loss 0.05548488 - samples/sec: 98.50 - lr: 0.025000
2020-09-12 04:55:49,000 epoch 125 - iter 1620/1805 - loss 0.05595026 - samples/sec: 98.41 - lr: 0.025000
2020-09-12 04:56:47,556 epoch 125 - iter 1800/1805 - loss 0.05512860 - samples/sec: 98.41 - lr: 0.025000
2020-09-12 04:56:49,157 ----------------------------------------------------------------------------------------------------
2020-09-12 04:56:49,157 EPOCH 125 done: loss 0.0551 - lr 0.0250000
2020-09-12 04:56:49,157 BAD EPOCHS (no improvement): 1
2020-09-12 04:56:49,163 ----------------------------------------------------------------------------------------------------
2020-09-12 04:57:48,034 epoch 126 - iter 180/1805 - loss 0.04007916 - samples/sec: 97.89 - lr: 0.025000
2020-09-12 04:58:46,770 epoch 126 - iter 360/1805 - loss 0.04833871 - samples/sec: 98.11 - lr: 0.025000
2020-09-12 04:59:53,787 epoch 126 - iter 540/1805 - loss 0.05131797 - samples/sec: 85.98 - lr: 0.025000
2020-09-12 05:00:53,799 epoch 126 - iter 720/1805 - loss 0.05542900 - samples/sec: 96.02 - lr: 0.025000
2020-09-12 05:01:52,884 epoch 126 - iter 900/1805 - loss 0.05667458 - samples/sec: 97.53 - lr: 0.025000
2020-09-12 05:02:51,218 epoch 126 - iter 1080/1805 - loss 0.05486686 - samples/sec: 98.79 - lr: 0.025000
2020-09-12 05:03:50,742 epoch 126 - iter 1260/1805 - loss 0.05512655 - samples/sec: 96.81 - lr: 0.025000
2020-09-12 05:04:49,983 epoch 126 - iter 1440/1805 - loss 0.05531194 - samples/sec: 97.27 - lr: 0.025000
2020-09-12 05:05:48,514 epoch 126 - iter 1620/1805 - loss 0.05472640 - samples/sec: 98.45 - lr: 0.025000
2020-09-12 05:06:46,751 epoch 126 - iter 1800/1805 - loss 0.05468081 - samples/sec: 98.95 - lr: 0.025000
2020-09-12 05:06:48,375 ----------------------------------------------------------------------------------------------------
2020-09-12 05:06:48,376 EPOCH 126 done: loss 0.0547 - lr 0.0250000
2020-09-12 05:06:48,376 BAD EPOCHS (no improvement): 2
2020-09-12 05:06:48,380 ----------------------------------------------------------------------------------------------------
2020-09-12 05:07:46,718 epoch 127 - iter 180/1805 - loss 0.04835741 - samples/sec: 98.78 - lr: 0.025000
2020-09-12 05:08:46,130 epoch 127 - iter 360/1805 - loss 0.05944331 - samples/sec: 96.99 - lr: 0.025000
2020-09-12 05:09:45,595 epoch 127 - iter 540/1805 - loss 0.05837464 - samples/sec: 96.91 - lr: 0.025000
2020-09-12 05:10:45,259 epoch 127 - iter 720/1805 - loss 0.06109256 - samples/sec: 96.58 - lr: 0.025000
2020-09-12 05:11:43,464 epoch 127 - iter 900/1805 - loss 0.06140946 - samples/sec: 99.00 - lr: 0.025000
2020-09-12 05:12:42,264 epoch 127 - iter 1080/1805 - loss 0.06058531 - samples/sec: 98.00 - lr: 0.025000
2020-09-12 05:13:41,385 epoch 127 - iter 1260/1805 - loss 0.05962077 - samples/sec: 97.47 - lr: 0.025000
2020-09-12 05:14:40,031 epoch 127 - iter 1440/1805 - loss 0.05822863 - samples/sec: 98.26 - lr: 0.025000
2020-09-12 05:15:39,063 epoch 127 - iter 1620/1805 - loss 0.05775714 - samples/sec: 97.62 - lr: 0.025000
2020-09-12 05:16:38,140 epoch 127 - iter 1800/1805 - loss 0.05714146 - samples/sec: 97.54 - lr: 0.025000
2020-09-12 05:16:39,821 ----------------------------------------------------------------------------------------------------
2020-09-12 05:16:39,821 EPOCH 127 done: loss 0.0571 - lr 0.0250000
2020-09-12 05:16:39,821 BAD EPOCHS (no improvement): 3
2020-09-12 05:16:39,827 ----------------------------------------------------------------------------------------------------
2020-09-12 05:17:39,550 epoch 128 - iter 180/1805 - loss 0.05268186 - samples/sec: 96.49 - lr: 0.025000
2020-09-12 05:18:38,186 epoch 128 - iter 360/1805 - loss 0.05401709 - samples/sec: 98.28 - lr: 0.025000
2020-09-12 05:19:37,609 epoch 128 - iter 540/1805 - loss 0.05466233 - samples/sec: 96.97 - lr: 0.025000
2020-09-12 05:20:35,485 epoch 128 - iter 720/1805 - loss 0.05553085 - samples/sec: 99.57 - lr: 0.025000
2020-09-12 05:21:33,240 epoch 128 - iter 900/1805 - loss 0.05425873 - samples/sec: 99.78 - lr: 0.025000
2020-09-12 05:22:32,191 epoch 128 - iter 1080/1805 - loss 0.05321273 - samples/sec: 97.75 - lr: 0.025000
2020-09-12 05:23:31,601 epoch 128 - iter 1260/1805 - loss 0.05175182 - samples/sec: 97.00 - lr: 0.025000
2020-09-12 05:24:29,928 epoch 128 - iter 1440/1805 - loss 0.05186209 - samples/sec: 98.80 - lr: 0.025000
2020-09-12 05:25:27,951 epoch 128 - iter 1620/1805 - loss 0.05291205 - samples/sec: 99.32 - lr: 0.025000
2020-09-12 05:26:26,674 epoch 128 - iter 1800/1805 - loss 0.05314200 - samples/sec: 98.13 - lr: 0.025000
2020-09-12 05:26:28,080 ----------------------------------------------------------------------------------------------------
2020-09-12 05:26:28,080 EPOCH 128 done: loss 0.0532 - lr 0.0250000
2020-09-12 05:26:28,080 BAD EPOCHS (no improvement): 4
2020-09-12 05:26:28,083 ----------------------------------------------------------------------------------------------------
2020-09-12 05:27:26,705 epoch 129 - iter 180/1805 - loss 0.05145104 - samples/sec: 98.30 - lr: 0.012500
2020-09-12 05:28:25,923 epoch 129 - iter 360/1805 - loss 0.05531830 - samples/sec: 97.31 - lr: 0.012500
2020-09-12 05:29:24,294 epoch 129 - iter 540/1805 - loss 0.05453120 - samples/sec: 98.72 - lr: 0.012500
2020-09-12 05:30:23,780 epoch 129 - iter 720/1805 - loss 0.05729901 - samples/sec: 96.87 - lr: 0.012500
2020-09-12 05:31:24,002 epoch 129 - iter 900/1805 - loss 0.05572175 - samples/sec: 95.69 - lr: 0.012500
2020-09-12 05:32:23,145 epoch 129 - iter 1080/1805 - loss 0.05479299 - samples/sec: 97.43 - lr: 0.012500
2020-09-12 05:33:22,596 epoch 129 - iter 1260/1805 - loss 0.05529355 - samples/sec: 96.93 - lr: 0.012500
2020-09-12 05:34:20,914 epoch 129 - iter 1440/1805 - loss 0.05387569 - samples/sec: 98.81 - lr: 0.012500
2020-09-12 05:35:19,259 epoch 129 - iter 1620/1805 - loss 0.05399001 - samples/sec: 98.77 - lr: 0.012500
2020-09-12 05:36:17,945 epoch 129 - iter 1800/1805 - loss 0.05304270 - samples/sec: 98.19 - lr: 0.012500
2020-09-12 05:36:19,617 ----------------------------------------------------------------------------------------------------
2020-09-12 05:36:19,617 EPOCH 129 done: loss 0.0531 - lr 0.0125000
2020-09-12 05:36:19,617 BAD EPOCHS (no improvement): 1
2020-09-12 05:36:19,623 ----------------------------------------------------------------------------------------------------
2020-09-12 05:37:18,952 epoch 130 - iter 180/1805 - loss 0.05633604 - samples/sec: 97.13 - lr: 0.012500
2020-09-12 05:38:18,052 epoch 130 - iter 360/1805 - loss 0.05574839 - samples/sec: 97.50 - lr: 0.012500
2020-09-12 05:39:16,613 epoch 130 - iter 540/1805 - loss 0.05892897 - samples/sec: 98.40 - lr: 0.012500
2020-09-12 05:40:15,124 epoch 130 - iter 720/1805 - loss 0.05719683 - samples/sec: 98.49 - lr: 0.012500
2020-09-12 05:41:14,130 epoch 130 - iter 900/1805 - loss 0.05514611 - samples/sec: 97.66 - lr: 0.012500
2020-09-12 05:42:13,345 epoch 130 - iter 1080/1805 - loss 0.05373385 - samples/sec: 97.32 - lr: 0.012500
2020-09-12 05:43:12,659 epoch 130 - iter 1260/1805 - loss 0.05397868 - samples/sec: 97.15 - lr: 0.012500
2020-09-12 05:44:11,374 epoch 130 - iter 1440/1805 - loss 0.05414331 - samples/sec: 98.15 - lr: 0.012500
2020-09-12 05:45:09,762 epoch 130 - iter 1620/1805 - loss 0.05449923 - samples/sec: 98.69 - lr: 0.012500
2020-09-12 05:46:08,500 epoch 130 - iter 1800/1805 - loss 0.05444946 - samples/sec: 98.11 - lr: 0.012500
2020-09-12 05:46:10,204 ----------------------------------------------------------------------------------------------------
2020-09-12 05:46:10,204 EPOCH 130 done: loss 0.0544 - lr 0.0125000
2020-09-12 05:46:10,204 BAD EPOCHS (no improvement): 2
2020-09-12 05:46:10,208 ----------------------------------------------------------------------------------------------------
2020-09-12 05:47:09,733 epoch 131 - iter 180/1805 - loss 0.05443189 - samples/sec: 96.81 - lr: 0.012500
2020-09-12 05:48:08,274 epoch 131 - iter 360/1805 - loss 0.05261719 - samples/sec: 98.44 - lr: 0.012500
2020-09-12 05:49:07,760 epoch 131 - iter 540/1805 - loss 0.05395550 - samples/sec: 96.87 - lr: 0.012500
2020-09-12 05:50:06,795 epoch 131 - iter 720/1805 - loss 0.05208755 - samples/sec: 97.61 - lr: 0.012500
2020-09-12 05:51:05,295 epoch 131 - iter 900/1805 - loss 0.05246360 - samples/sec: 98.50 - lr: 0.012500
2020-09-12 05:52:12,223 epoch 131 - iter 1080/1805 - loss 0.05358644 - samples/sec: 86.10 - lr: 0.012500
2020-09-12 05:53:11,280 epoch 131 - iter 1260/1805 - loss 0.05239333 - samples/sec: 97.58 - lr: 0.012500
2020-09-12 05:54:09,512 epoch 131 - iter 1440/1805 - loss 0.05321723 - samples/sec: 98.96 - lr: 0.012500
2020-09-12 05:55:08,594 epoch 131 - iter 1620/1805 - loss 0.05368422 - samples/sec: 97.54 - lr: 0.012500
2020-09-12 05:56:07,716 epoch 131 - iter 1800/1805 - loss 0.05369521 - samples/sec: 97.47 - lr: 0.012500
2020-09-12 05:56:09,452 ----------------------------------------------------------------------------------------------------
2020-09-12 05:56:09,452 EPOCH 131 done: loss 0.0539 - lr 0.0125000
2020-09-12 05:56:09,452 BAD EPOCHS (no improvement): 3
2020-09-12 05:56:09,457 ----------------------------------------------------------------------------------------------------
2020-09-12 05:57:08,273 epoch 132 - iter 180/1805 - loss 0.05704898 - samples/sec: 97.98 - lr: 0.012500
2020-09-12 05:58:06,793 epoch 132 - iter 360/1805 - loss 0.05792254 - samples/sec: 98.47 - lr: 0.012500
2020-09-12 05:59:05,903 epoch 132 - iter 540/1805 - loss 0.05506760 - samples/sec: 97.49 - lr: 0.012500
2020-09-12 06:00:04,033 epoch 132 - iter 720/1805 - loss 0.05279497 - samples/sec: 99.13 - lr: 0.012500
2020-09-12 06:01:02,857 epoch 132 - iter 900/1805 - loss 0.05219445 - samples/sec: 97.96 - lr: 0.012500
2020-09-12 06:02:09,542 epoch 132 - iter 1080/1805 - loss 0.05184676 - samples/sec: 86.41 - lr: 0.012500
2020-09-12 06:03:08,824 epoch 132 - iter 1260/1805 - loss 0.05129422 - samples/sec: 97.20 - lr: 0.012500
2020-09-12 06:04:08,169 epoch 132 - iter 1440/1805 - loss 0.05129432 - samples/sec: 97.10 - lr: 0.012500
2020-09-12 06:05:08,042 epoch 132 - iter 1620/1805 - loss 0.05099023 - samples/sec: 96.24 - lr: 0.012500
2020-09-12 06:06:06,790 epoch 132 - iter 1800/1805 - loss 0.05075384 - samples/sec: 98.09 - lr: 0.012500
2020-09-12 06:06:08,509 ----------------------------------------------------------------------------------------------------
2020-09-12 06:06:08,510 EPOCH 132 done: loss 0.0508 - lr 0.0125000
2020-09-12 06:06:08,510 BAD EPOCHS (no improvement): 0
2020-09-12 06:06:08,512 ----------------------------------------------------------------------------------------------------
2020-09-12 06:07:06,046 epoch 133 - iter 180/1805 - loss 0.04795751 - samples/sec: 100.16 - lr: 0.012500
2020-09-12 06:08:04,818 epoch 133 - iter 360/1805 - loss 0.04611198 - samples/sec: 98.05 - lr: 0.012500
2020-09-12 06:09:03,082 epoch 133 - iter 540/1805 - loss 0.04895038 - samples/sec: 98.90 - lr: 0.012500
2020-09-12 06:10:01,844 epoch 133 - iter 720/1805 - loss 0.04987000 - samples/sec: 98.06 - lr: 0.012500
2020-09-12 06:11:00,611 epoch 133 - iter 900/1805 - loss 0.04958067 - samples/sec: 98.06 - lr: 0.012500
2020-09-12 06:11:59,700 epoch 133 - iter 1080/1805 - loss 0.05033678 - samples/sec: 97.52 - lr: 0.012500
2020-09-12 06:12:58,350 epoch 133 - iter 1260/1805 - loss 0.05196872 - samples/sec: 98.25 - lr: 0.012500
2020-09-12 06:13:57,305 epoch 133 - iter 1440/1805 - loss 0.05220879 - samples/sec: 97.74 - lr: 0.012500
2020-09-12 06:14:57,459 epoch 133 - iter 1620/1805 - loss 0.05314247 - samples/sec: 95.80 - lr: 0.012500
2020-09-12 06:15:56,478 epoch 133 - iter 1800/1805 - loss 0.05314412 - samples/sec: 97.64 - lr: 0.012500
2020-09-12 06:15:58,048 ----------------------------------------------------------------------------------------------------
2020-09-12 06:15:58,048 EPOCH 133 done: loss 0.0530 - lr 0.0125000
2020-09-12 06:15:58,048 BAD EPOCHS (no improvement): 1
2020-09-12 06:15:58,054 ----------------------------------------------------------------------------------------------------
2020-09-12 06:16:56,794 epoch 134 - iter 180/1805 - loss 0.04683743 - samples/sec: 98.11 - lr: 0.012500
2020-09-12 06:17:55,165 epoch 134 - iter 360/1805 - loss 0.04761196 - samples/sec: 98.72 - lr: 0.012500
2020-09-12 06:18:53,631 epoch 134 - iter 540/1805 - loss 0.04786491 - samples/sec: 98.56 - lr: 0.012500
2020-09-12 06:19:52,605 epoch 134 - iter 720/1805 - loss 0.04896776 - samples/sec: 97.71 - lr: 0.012500
2020-09-12 06:20:51,678 epoch 134 - iter 900/1805 - loss 0.04929628 - samples/sec: 97.55 - lr: 0.012500
2020-09-12 06:21:51,114 epoch 134 - iter 1080/1805 - loss 0.04840514 - samples/sec: 96.95 - lr: 0.012500
2020-09-12 06:22:49,616 epoch 134 - iter 1260/1805 - loss 0.04927580 - samples/sec: 98.50 - lr: 0.012500
2020-09-12 06:23:48,289 epoch 134 - iter 1440/1805 - loss 0.04849680 - samples/sec: 98.22 - lr: 0.012500
2020-09-12 06:24:47,964 epoch 134 - iter 1620/1805 - loss 0.04868006 - samples/sec: 96.56 - lr: 0.012500
2020-09-12 06:25:46,644 epoch 134 - iter 1800/1805 - loss 0.04809948 - samples/sec: 98.20 - lr: 0.012500
2020-09-12 06:25:48,360 ----------------------------------------------------------------------------------------------------
2020-09-12 06:25:48,360 EPOCH 134 done: loss 0.0480 - lr 0.0125000
2020-09-12 06:25:48,361 BAD EPOCHS (no improvement): 0
2020-09-12 06:25:48,366 ----------------------------------------------------------------------------------------------------
2020-09-12 06:26:48,097 epoch 135 - iter 180/1805 - loss 0.06020810 - samples/sec: 96.48 - lr: 0.012500
2020-09-12 06:27:46,410 epoch 135 - iter 360/1805 - loss 0.05649703 - samples/sec: 98.82 - lr: 0.012500
2020-09-12 06:28:45,908 epoch 135 - iter 540/1805 - loss 0.05423191 - samples/sec: 96.85 - lr: 0.012500
2020-09-12 06:29:45,365 epoch 135 - iter 720/1805 - loss 0.05296218 - samples/sec: 96.92 - lr: 0.012500
2020-09-12 06:30:44,280 epoch 135 - iter 900/1805 - loss 0.04943712 - samples/sec: 97.81 - lr: 0.012500
2020-09-12 06:31:43,625 epoch 135 - iter 1080/1805 - loss 0.05074690 - samples/sec: 97.10 - lr: 0.012500
2020-09-12 06:32:42,246 epoch 135 - iter 1260/1805 - loss 0.05050351 - samples/sec: 98.30 - lr: 0.012500
2020-09-12 06:33:40,210 epoch 135 - iter 1440/1805 - loss 0.05119544 - samples/sec: 99.42 - lr: 0.012500
2020-09-12 06:34:39,093 epoch 135 - iter 1620/1805 - loss 0.05157793 - samples/sec: 97.86 - lr: 0.012500
2020-09-12 06:35:38,016 epoch 135 - iter 1800/1805 - loss 0.05170940 - samples/sec: 97.80 - lr: 0.012500
2020-09-12 06:35:39,996 ----------------------------------------------------------------------------------------------------
2020-09-12 06:35:39,997 EPOCH 135 done: loss 0.0517 - lr 0.0125000
2020-09-12 06:35:39,997 BAD EPOCHS (no improvement): 1
2020-09-12 06:35:40,003 ----------------------------------------------------------------------------------------------------
2020-09-12 06:36:38,187 epoch 136 - iter 180/1805 - loss 0.05444451 - samples/sec: 99.04 - lr: 0.012500
2020-09-12 06:37:37,341 epoch 136 - iter 360/1805 - loss 0.05659846 - samples/sec: 97.42 - lr: 0.012500
2020-09-12 06:38:36,390 epoch 136 - iter 540/1805 - loss 0.05396886 - samples/sec: 97.59 - lr: 0.012500
2020-09-12 06:39:35,253 epoch 136 - iter 720/1805 - loss 0.05150347 - samples/sec: 97.90 - lr: 0.012500
2020-09-12 06:40:34,561 epoch 136 - iter 900/1805 - loss 0.05199981 - samples/sec: 97.17 - lr: 0.012500
2020-09-12 06:41:34,296 epoch 136 - iter 1080/1805 - loss 0.05062534 - samples/sec: 96.47 - lr: 0.012500
2020-09-12 06:42:34,309 epoch 136 - iter 1260/1805 - loss 0.05145975 - samples/sec: 96.02 - lr: 0.012500
2020-09-12 06:43:33,296 epoch 136 - iter 1440/1805 - loss 0.05161253 - samples/sec: 97.69 - lr: 0.012500
2020-09-12 06:44:31,965 epoch 136 - iter 1620/1805 - loss 0.05179008 - samples/sec: 98.22 - lr: 0.012500
2020-09-12 06:45:39,406 epoch 136 - iter 1800/1805 - loss 0.05114012 - samples/sec: 85.44 - lr: 0.012500
2020-09-12 06:45:41,077 ----------------------------------------------------------------------------------------------------
2020-09-12 06:45:41,078 EPOCH 136 done: loss 0.0511 - lr 0.0125000
2020-09-12 06:45:41,078 BAD EPOCHS (no improvement): 2
2020-09-12 06:45:41,084 ----------------------------------------------------------------------------------------------------
2020-09-12 06:46:39,537 epoch 137 - iter 180/1805 - loss 0.05175497 - samples/sec: 98.59 - lr: 0.012500
2020-09-12 06:47:39,314 epoch 137 - iter 360/1805 - loss 0.05150153 - samples/sec: 96.40 - lr: 0.012500
2020-09-12 06:48:38,569 epoch 137 - iter 540/1805 - loss 0.05118618 - samples/sec: 97.25 - lr: 0.012500
2020-09-12 06:49:38,163 epoch 137 - iter 720/1805 - loss 0.05122403 - samples/sec: 96.70 - lr: 0.012500
2020-09-12 06:50:36,510 epoch 137 - iter 900/1805 - loss 0.05143279 - samples/sec: 98.77 - lr: 0.012500
2020-09-12 06:51:36,706 epoch 137 - iter 1080/1805 - loss 0.05037816 - samples/sec: 95.73 - lr: 0.012500
2020-09-12 06:52:35,777 epoch 137 - iter 1260/1805 - loss 0.04990474 - samples/sec: 97.55 - lr: 0.012500
2020-09-12 06:53:34,297 epoch 137 - iter 1440/1805 - loss 0.05045802 - samples/sec: 98.47 - lr: 0.012500
2020-09-12 06:54:32,948 epoch 137 - iter 1620/1805 - loss 0.05157150 - samples/sec: 98.25 - lr: 0.012500
2020-09-12 06:55:30,927 epoch 137 - iter 1800/1805 - loss 0.05175371 - samples/sec: 99.39 - lr: 0.012500
2020-09-12 06:55:32,687 ----------------------------------------------------------------------------------------------------
2020-09-12 06:55:32,688 EPOCH 137 done: loss 0.0517 - lr 0.0125000
2020-09-12 06:55:32,688 BAD EPOCHS (no improvement): 3
2020-09-12 06:55:32,690 ----------------------------------------------------------------------------------------------------
2020-09-12 06:56:30,765 epoch 138 - iter 180/1805 - loss 0.04847719 - samples/sec: 99.23 - lr: 0.012500
2020-09-12 06:57:29,873 epoch 138 - iter 360/1805 - loss 0.05052470 - samples/sec: 97.49 - lr: 0.012500
2020-09-12 06:58:27,956 epoch 138 - iter 540/1805 - loss 0.04808503 - samples/sec: 99.21 - lr: 0.012500
2020-09-12 06:59:27,795 epoch 138 - iter 720/1805 - loss 0.04826100 - samples/sec: 96.30 - lr: 0.012500
2020-09-12 07:00:26,778 epoch 138 - iter 900/1805 - loss 0.04821924 - samples/sec: 97.70 - lr: 0.012500
2020-09-12 07:01:25,319 epoch 138 - iter 1080/1805 - loss 0.04753665 - samples/sec: 98.43 - lr: 0.012500
2020-09-12 07:02:23,981 epoch 138 - iter 1260/1805 - loss 0.04792375 - samples/sec: 98.23 - lr: 0.012500
2020-09-12 07:03:24,302 epoch 138 - iter 1440/1805 - loss 0.04715152 - samples/sec: 95.53 - lr: 0.012500
2020-09-12 07:04:23,091 epoch 138 - iter 1620/1805 - loss 0.04792703 - samples/sec: 98.02 - lr: 0.012500
2020-09-12 07:05:22,642 epoch 138 - iter 1800/1805 - loss 0.04885537 - samples/sec: 96.77 - lr: 0.012500
2020-09-12 07:05:24,191 ----------------------------------------------------------------------------------------------------
2020-09-12 07:05:24,191 EPOCH 138 done: loss 0.0488 - lr 0.0125000
2020-09-12 07:05:24,191 BAD EPOCHS (no improvement): 4
2020-09-12 07:05:24,197 ----------------------------------------------------------------------------------------------------
2020-09-12 07:06:22,665 epoch 139 - iter 180/1805 - loss 0.05012610 - samples/sec: 98.56 - lr: 0.006250
2020-09-12 07:07:21,633 epoch 139 - iter 360/1805 - loss 0.05563521 - samples/sec: 97.72 - lr: 0.006250
2020-09-12 07:08:20,738 epoch 139 - iter 540/1805 - loss 0.05711307 - samples/sec: 97.50 - lr: 0.006250
2020-09-12 07:09:20,036 epoch 139 - iter 720/1805 - loss 0.05616429 - samples/sec: 97.18 - lr: 0.006250
2020-09-12 07:10:18,359 epoch 139 - iter 900/1805 - loss 0.05418404 - samples/sec: 98.81 - lr: 0.006250
2020-09-12 07:11:17,019 epoch 139 - iter 1080/1805 - loss 0.05508107 - samples/sec: 98.24 - lr: 0.006250
2020-09-12 07:12:16,869 epoch 139 - iter 1260/1805 - loss 0.05443796 - samples/sec: 96.28 - lr: 0.006250
2020-09-12 07:13:15,707 epoch 139 - iter 1440/1805 - loss 0.05401704 - samples/sec: 97.94 - lr: 0.006250
2020-09-12 07:14:15,227 epoch 139 - iter 1620/1805 - loss 0.05415778 - samples/sec: 96.82 - lr: 0.006250
2020-09-12 07:15:14,004 epoch 139 - iter 1800/1805 - loss 0.05493750 - samples/sec: 98.04 - lr: 0.006250
2020-09-12 07:15:15,633 ----------------------------------------------------------------------------------------------------
2020-09-12 07:15:15,633 EPOCH 139 done: loss 0.0550 - lr 0.0062500
2020-09-12 07:15:15,633 BAD EPOCHS (no improvement): 1
2020-09-12 07:15:15,636 ----------------------------------------------------------------------------------------------------
2020-09-12 07:16:13,938 epoch 140 - iter 180/1805 - loss 0.04668362 - samples/sec: 98.84 - lr: 0.006250
2020-09-12 07:17:13,378 epoch 140 - iter 360/1805 - loss 0.05170698 - samples/sec: 96.95 - lr: 0.006250
2020-09-12 07:18:12,024 epoch 140 - iter 540/1805 - loss 0.05333470 - samples/sec: 98.26 - lr: 0.006250
2020-09-12 07:19:11,726 epoch 140 - iter 720/1805 - loss 0.05449444 - samples/sec: 96.52 - lr: 0.006250
2020-09-12 07:20:11,431 epoch 140 - iter 900/1805 - loss 0.05532198 - samples/sec: 96.52 - lr: 0.006250
2020-09-12 07:21:09,333 epoch 140 - iter 1080/1805 - loss 0.05400596 - samples/sec: 99.52 - lr: 0.006250
2020-09-12 07:22:07,829 epoch 140 - iter 1260/1805 - loss 0.05347781 - samples/sec: 98.51 - lr: 0.006250
2020-09-12 07:23:06,808 epoch 140 - iter 1440/1805 - loss 0.05280767 - samples/sec: 97.71 - lr: 0.006250
2020-09-12 07:24:06,112 epoch 140 - iter 1620/1805 - loss 0.05267471 - samples/sec: 97.17 - lr: 0.006250
2020-09-12 07:25:05,156 epoch 140 - iter 1800/1805 - loss 0.05260366 - samples/sec: 97.60 - lr: 0.006250
2020-09-12 07:25:06,725 ----------------------------------------------------------------------------------------------------
2020-09-12 07:25:06,725 EPOCH 140 done: loss 0.0526 - lr 0.0062500
2020-09-12 07:25:06,725 BAD EPOCHS (no improvement): 2
2020-09-12 07:25:06,728 ----------------------------------------------------------------------------------------------------
2020-09-12 07:26:06,777 epoch 141 - iter 180/1805 - loss 0.05214812 - samples/sec: 95.97 - lr: 0.006250
2020-09-12 07:27:06,115 epoch 141 - iter 360/1805 - loss 0.05085075 - samples/sec: 97.12 - lr: 0.006250
2020-09-12 07:28:03,642 epoch 141 - iter 540/1805 - loss 0.04825879 - samples/sec: 100.17 - lr: 0.006250
2020-09-12 07:29:02,288 epoch 141 - iter 720/1805 - loss 0.04875571 - samples/sec: 98.26 - lr: 0.006250
2020-09-12 07:30:02,028 epoch 141 - iter 900/1805 - loss 0.04850053 - samples/sec: 96.46 - lr: 0.006250
2020-09-12 07:31:00,895 epoch 141 - iter 1080/1805 - loss 0.04817107 - samples/sec: 97.89 - lr: 0.006250
2020-09-12 07:31:59,746 epoch 141 - iter 1260/1805 - loss 0.04821795 - samples/sec: 97.92 - lr: 0.006250
2020-09-12 07:32:58,204 epoch 141 - iter 1440/1805 - loss 0.04788371 - samples/sec: 98.58 - lr: 0.006250
2020-09-12 07:33:56,913 epoch 141 - iter 1620/1805 - loss 0.04794256 - samples/sec: 98.16 - lr: 0.006250
2020-09-12 07:34:56,834 epoch 141 - iter 1800/1805 - loss 0.04814982 - samples/sec: 96.17 - lr: 0.006250
2020-09-12 07:34:58,551 ----------------------------------------------------------------------------------------------------
2020-09-12 07:34:58,551 EPOCH 141 done: loss 0.0483 - lr 0.0062500
2020-09-12 07:34:58,551 BAD EPOCHS (no improvement): 3
2020-09-12 07:34:58,557 ----------------------------------------------------------------------------------------------------
2020-09-12 07:35:56,544 epoch 142 - iter 180/1805 - loss 0.04775372 - samples/sec: 99.38 - lr: 0.006250
2020-09-12 07:36:55,280 epoch 142 - iter 360/1805 - loss 0.04548990 - samples/sec: 98.11 - lr: 0.006250
2020-09-12 07:38:04,036 epoch 142 - iter 540/1805 - loss 0.04965966 - samples/sec: 83.81 - lr: 0.006250
2020-09-12 07:39:02,777 epoch 142 - iter 720/1805 - loss 0.04936673 - samples/sec: 98.10 - lr: 0.006250
2020-09-12 07:40:01,409 epoch 142 - iter 900/1805 - loss 0.04803396 - samples/sec: 98.28 - lr: 0.006250
2020-09-12 07:40:59,750 epoch 142 - iter 1080/1805 - loss 0.04901485 - samples/sec: 98.77 - lr: 0.006250
2020-09-12 07:41:58,906 epoch 142 - iter 1260/1805 - loss 0.05012152 - samples/sec: 97.41 - lr: 0.006250
2020-09-12 07:42:57,897 epoch 142 - iter 1440/1805 - loss 0.05063300 - samples/sec: 97.68 - lr: 0.006250
2020-09-12 07:43:57,356 epoch 142 - iter 1620/1805 - loss 0.05097687 - samples/sec: 96.92 - lr: 0.006250
2020-09-12 07:44:55,527 epoch 142 - iter 1800/1805 - loss 0.04985713 - samples/sec: 99.06 - lr: 0.006250
2020-09-12 07:44:57,192 ----------------------------------------------------------------------------------------------------
2020-09-12 07:44:57,192 EPOCH 142 done: loss 0.0498 - lr 0.0062500
2020-09-12 07:44:57,192 BAD EPOCHS (no improvement): 4
2020-09-12 07:44:57,195 ----------------------------------------------------------------------------------------------------
2020-09-12 07:45:55,915 epoch 143 - iter 180/1805 - loss 0.05458604 - samples/sec: 98.14 - lr: 0.003125
2020-09-12 07:46:55,064 epoch 143 - iter 360/1805 - loss 0.05627446 - samples/sec: 97.42 - lr: 0.003125
2020-09-12 07:47:54,628 epoch 143 - iter 540/1805 - loss 0.05333913 - samples/sec: 96.74 - lr: 0.003125
2020-09-12 07:48:53,257 epoch 143 - iter 720/1805 - loss 0.05235267 - samples/sec: 98.29 - lr: 0.003125
2020-09-12 07:49:52,483 epoch 143 - iter 900/1805 - loss 0.05026740 - samples/sec: 97.30 - lr: 0.003125
2020-09-12 07:50:51,146 epoch 143 - iter 1080/1805 - loss 0.05140152 - samples/sec: 98.23 - lr: 0.003125
2020-09-12 07:51:50,487 epoch 143 - iter 1260/1805 - loss 0.05159771 - samples/sec: 97.11 - lr: 0.003125
2020-09-12 07:52:49,549 epoch 143 - iter 1440/1805 - loss 0.05057310 - samples/sec: 97.57 - lr: 0.003125
2020-09-12 07:53:47,566 epoch 143 - iter 1620/1805 - loss 0.04975495 - samples/sec: 99.33 - lr: 0.003125
2020-09-12 07:54:46,692 epoch 143 - iter 1800/1805 - loss 0.04993820 - samples/sec: 97.47 - lr: 0.003125
2020-09-12 07:54:48,317 ----------------------------------------------------------------------------------------------------
2020-09-12 07:54:48,317 EPOCH 143 done: loss 0.0498 - lr 0.0031250
2020-09-12 07:54:48,317 BAD EPOCHS (no improvement): 1
2020-09-12 07:54:48,323 ----------------------------------------------------------------------------------------------------
2020-09-12 07:55:47,930 epoch 144 - iter 180/1805 - loss 0.04850437 - samples/sec: 96.68 - lr: 0.003125
2020-09-12 07:56:46,789 epoch 144 - iter 360/1805 - loss 0.04588137 - samples/sec: 97.91 - lr: 0.003125
2020-09-12 07:57:45,836 epoch 144 - iter 540/1805 - loss 0.05018842 - samples/sec: 97.60 - lr: 0.003125
2020-09-12 07:58:46,481 epoch 144 - iter 720/1805 - loss 0.05027922 - samples/sec: 95.02 - lr: 0.003125
2020-09-12 07:59:47,887 epoch 144 - iter 900/1805 - loss 0.04998083 - samples/sec: 93.84 - lr: 0.003125
2020-09-12 08:00:50,559 epoch 144 - iter 1080/1805 - loss 0.05032176 - samples/sec: 91.94 - lr: 0.003125
2020-09-12 08:01:52,755 epoch 144 - iter 1260/1805 - loss 0.05010041 - samples/sec: 92.64 - lr: 0.003125
2020-09-12 08:02:55,018 epoch 144 - iter 1440/1805 - loss 0.04953622 - samples/sec: 92.55 - lr: 0.003125
2020-09-12 08:03:57,289 epoch 144 - iter 1620/1805 - loss 0.05043677 - samples/sec: 92.53 - lr: 0.003125
2020-09-12 08:04:59,544 epoch 144 - iter 1800/1805 - loss 0.04910012 - samples/sec: 92.56 - lr: 0.003125
2020-09-12 08:05:01,342 ----------------------------------------------------------------------------------------------------
2020-09-12 08:05:01,342 EPOCH 144 done: loss 0.0490 - lr 0.0031250
2020-09-12 08:05:01,342 BAD EPOCHS (no improvement): 2
2020-09-12 08:05:01,481 ----------------------------------------------------------------------------------------------------
2020-09-12 08:06:06,189 epoch 145 - iter 180/1805 - loss 0.04867377 - samples/sec: 89.05 - lr: 0.003125
2020-09-12 08:07:13,811 epoch 145 - iter 360/1805 - loss 0.05168826 - samples/sec: 85.21 - lr: 0.003125
2020-09-12 08:08:22,250 epoch 145 - iter 540/1805 - loss 0.05136467 - samples/sec: 84.19 - lr: 0.003125
2020-09-12 08:09:30,189 epoch 145 - iter 720/1805 - loss 0.05096481 - samples/sec: 84.81 - lr: 0.003125
2020-09-12 08:10:36,682 epoch 145 - iter 900/1805 - loss 0.05156327 - samples/sec: 86.66 - lr: 0.003125
2020-09-12 08:11:44,202 epoch 145 - iter 1080/1805 - loss 0.05108731 - samples/sec: 85.34 - lr: 0.003125
2020-09-12 08:12:51,595 epoch 145 - iter 1260/1805 - loss 0.05069178 - samples/sec: 85.50 - lr: 0.003125
2020-09-12 08:13:59,091 epoch 145 - iter 1440/1805 - loss 0.05039815 - samples/sec: 85.37 - lr: 0.003125
2020-09-12 08:15:06,427 epoch 145 - iter 1620/1805 - loss 0.04991743 - samples/sec: 85.57 - lr: 0.003125
2020-09-12 08:16:14,168 epoch 145 - iter 1800/1805 - loss 0.04987348 - samples/sec: 85.06 - lr: 0.003125
2020-09-12 08:16:16,032 ----------------------------------------------------------------------------------------------------
2020-09-12 08:16:16,032 EPOCH 145 done: loss 0.0499 - lr 0.0031250
2020-09-12 08:16:16,032 BAD EPOCHS (no improvement): 3
2020-09-12 08:16:16,038 ----------------------------------------------------------------------------------------------------
2020-09-12 08:17:23,897 epoch 146 - iter 180/1805 - loss 0.04974109 - samples/sec: 84.91 - lr: 0.003125
2020-09-12 08:18:28,947 epoch 146 - iter 360/1805 - loss 0.04630146 - samples/sec: 88.58 - lr: 0.003125
2020-09-12 08:19:34,646 epoch 146 - iter 540/1805 - loss 0.04519141 - samples/sec: 87.70 - lr: 0.003125
2020-09-12 08:20:37,046 epoch 146 - iter 720/1805 - loss 0.04699122 - samples/sec: 92.34 - lr: 0.003125
2020-09-12 08:21:39,084 epoch 146 - iter 900/1805 - loss 0.04790171 - samples/sec: 92.88 - lr: 0.003125
2020-09-12 08:22:40,900 epoch 146 - iter 1080/1805 - loss 0.04789659 - samples/sec: 93.21 - lr: 0.003125
2020-09-12 08:23:43,268 epoch 146 - iter 1260/1805 - loss 0.04826081 - samples/sec: 92.39 - lr: 0.003125
2020-09-12 08:24:45,898 epoch 146 - iter 1440/1805 - loss 0.04974051 - samples/sec: 92.00 - lr: 0.003125
2020-09-12 08:25:49,243 epoch 146 - iter 1620/1805 - loss 0.05022536 - samples/sec: 90.96 - lr: 0.003125
2020-09-12 08:26:51,068 epoch 146 - iter 1800/1805 - loss 0.05081768 - samples/sec: 93.20 - lr: 0.003125
2020-09-12 08:26:52,691 ----------------------------------------------------------------------------------------------------
2020-09-12 08:26:52,691 EPOCH 146 done: loss 0.0508 - lr 0.0031250
2020-09-12 08:26:52,691 BAD EPOCHS (no improvement): 4
2020-09-12 08:26:52,698 ----------------------------------------------------------------------------------------------------
2020-09-12 08:27:54,330 epoch 147 - iter 180/1805 - loss 0.05028969 - samples/sec: 93.49 - lr: 0.001563
2020-09-12 08:28:56,339 epoch 147 - iter 360/1805 - loss 0.05247402 - samples/sec: 92.92 - lr: 0.001563
2020-09-12 08:29:58,385 epoch 147 - iter 540/1805 - loss 0.05242372 - samples/sec: 92.87 - lr: 0.001563
2020-09-12 08:31:00,385 epoch 147 - iter 720/1805 - loss 0.05359493 - samples/sec: 92.94 - lr: 0.001563
2020-09-12 08:32:02,277 epoch 147 - iter 900/1805 - loss 0.05231763 - samples/sec: 93.10 - lr: 0.001563
2020-09-12 08:33:12,408 epoch 147 - iter 1080/1805 - loss 0.05168144 - samples/sec: 82.16 - lr: 0.001563
2020-09-12 08:34:14,081 epoch 147 - iter 1260/1805 - loss 0.05209688 - samples/sec: 93.43 - lr: 0.001563
2020-09-12 08:35:15,979 epoch 147 - iter 1440/1805 - loss 0.05292782 - samples/sec: 93.09 - lr: 0.001563
2020-09-12 08:36:18,358 epoch 147 - iter 1620/1805 - loss 0.05201994 - samples/sec: 92.37 - lr: 0.001563
2020-09-12 08:37:21,341 epoch 147 - iter 1800/1805 - loss 0.05205878 - samples/sec: 91.49 - lr: 0.001563
2020-09-12 08:37:23,159 ----------------------------------------------------------------------------------------------------
2020-09-12 08:37:23,160 EPOCH 147 done: loss 0.0520 - lr 0.0015625
2020-09-12 08:37:23,160 BAD EPOCHS (no improvement): 1
2020-09-12 08:37:23,166 ----------------------------------------------------------------------------------------------------
2020-09-12 08:38:24,891 epoch 148 - iter 180/1805 - loss 0.05690288 - samples/sec: 93.35 - lr: 0.001563
2020-09-12 08:39:28,659 epoch 148 - iter 360/1805 - loss 0.05294051 - samples/sec: 90.36 - lr: 0.001563
2020-09-12 08:40:31,236 epoch 148 - iter 540/1805 - loss 0.04966127 - samples/sec: 92.08 - lr: 0.001563
2020-09-12 08:41:33,332 epoch 148 - iter 720/1805 - loss 0.05003637 - samples/sec: 92.79 - lr: 0.001563
2020-09-12 08:42:35,345 epoch 148 - iter 900/1805 - loss 0.04975156 - samples/sec: 92.92 - lr: 0.001563
2020-09-12 08:43:36,909 epoch 148 - iter 1080/1805 - loss 0.04999570 - samples/sec: 93.59 - lr: 0.001563
2020-09-12 08:44:39,491 epoch 148 - iter 1260/1805 - loss 0.05018003 - samples/sec: 92.07 - lr: 0.001563
2020-09-12 08:45:41,783 epoch 148 - iter 1440/1805 - loss 0.05087618 - samples/sec: 92.50 - lr: 0.001563
2020-09-12 08:46:44,119 epoch 148 - iter 1620/1805 - loss 0.05221203 - samples/sec: 92.44 - lr: 0.001563
2020-09-12 08:47:48,997 epoch 148 - iter 1800/1805 - loss 0.05260224 - samples/sec: 88.81 - lr: 0.001563
2020-09-12 08:47:51,155 ----------------------------------------------------------------------------------------------------
2020-09-12 08:47:51,155 EPOCH 148 done: loss 0.0526 - lr 0.0015625
2020-09-12 08:47:51,156 BAD EPOCHS (no improvement): 2
2020-09-12 08:47:51,165 ----------------------------------------------------------------------------------------------------
2020-09-12 08:49:10,351 epoch 149 - iter 180/1805 - loss 0.04592678 - samples/sec: 72.76 - lr: 0.001563
2020-09-12 08:50:28,918 epoch 149 - iter 360/1805 - loss 0.05338966 - samples/sec: 73.33 - lr: 0.001563
2020-09-12 08:51:48,152 epoch 149 - iter 540/1805 - loss 0.05094231 - samples/sec: 72.72 - lr: 0.001563
2020-09-12 08:53:06,534 epoch 149 - iter 720/1805 - loss 0.04972471 - samples/sec: 73.51 - lr: 0.001563
2020-09-12 08:54:25,336 epoch 149 - iter 900/1805 - loss 0.04945684 - samples/sec: 73.12 - lr: 0.001563
2020-09-12 08:55:45,818 epoch 149 - iter 1080/1805 - loss 0.05051382 - samples/sec: 71.59 - lr: 0.001563
2020-09-12 08:57:05,520 epoch 149 - iter 1260/1805 - loss 0.05011447 - samples/sec: 72.29 - lr: 0.001563
2020-09-12 08:58:24,765 epoch 149 - iter 1440/1805 - loss 0.04938126 - samples/sec: 72.71 - lr: 0.001563
2020-09-12 08:59:44,537 epoch 149 - iter 1620/1805 - loss 0.05070211 - samples/sec: 72.23 - lr: 0.001563
2020-09-12 09:01:05,017 epoch 149 - iter 1800/1805 - loss 0.05025664 - samples/sec: 71.59 - lr: 0.001563
2020-09-12 09:01:07,150 ----------------------------------------------------------------------------------------------------
2020-09-12 09:01:07,150 EPOCH 149 done: loss 0.0502 - lr 0.0015625
2020-09-12 09:01:07,150 BAD EPOCHS (no improvement): 3
2020-09-12 09:01:07,158 ----------------------------------------------------------------------------------------------------
2020-09-12 09:02:25,170 epoch 150 - iter 180/1805 - loss 0.05604599 - samples/sec: 73.86 - lr: 0.001563
2020-09-12 09:03:43,723 epoch 150 - iter 360/1805 - loss 0.05564237 - samples/sec: 73.35 - lr: 0.001563
2020-09-12 09:05:02,417 epoch 150 - iter 540/1805 - loss 0.05330939 - samples/sec: 73.22 - lr: 0.001563
2020-09-12 09:06:22,133 epoch 150 - iter 720/1805 - loss 0.05310394 - samples/sec: 72.28 - lr: 0.001563
2020-09-12 09:07:41,244 epoch 150 - iter 900/1805 - loss 0.05373932 - samples/sec: 72.83 - lr: 0.001563
2020-09-12 09:09:01,499 epoch 150 - iter 1080/1805 - loss 0.05236448 - samples/sec: 71.79 - lr: 0.001563
2020-09-12 09:10:20,937 epoch 150 - iter 1260/1805 - loss 0.05249136 - samples/sec: 72.53 - lr: 0.001563
2020-09-12 09:11:40,438 epoch 150 - iter 1440/1805 - loss 0.05130903 - samples/sec: 72.47 - lr: 0.001563
2020-09-12 09:13:00,825 epoch 150 - iter 1620/1805 - loss 0.05124863 - samples/sec: 71.67 - lr: 0.001563
2020-09-12 09:14:21,219 epoch 150 - iter 1800/1805 - loss 0.05105486 - samples/sec: 71.67 - lr: 0.001563
2020-09-12 09:14:23,345 ----------------------------------------------------------------------------------------------------
2020-09-12 09:14:23,346 EPOCH 150 done: loss 0.0510 - lr 0.0015625
2020-09-12 09:14:23,346 BAD EPOCHS (no improvement): 4
2020-09-12 09:15:05,472 ----------------------------------------------------------------------------------------------------
2020-09-12 09:15:05,472 Testing using best model ...
2020-09-12 09:15:46,369 0.9616	0.9654	0.9635
2020-09-12 09:15:46,369 
Results:
- F1-score (micro) 0.9635
- F1-score (macro) 0.9189

By class:
AN         tp: 14 - fp: 2 - fn: 3 - precision: 0.8750 - recall: 0.8235 - f1-score: 0.8485
EUN        tp: 130 - fp: 2 - fn: 3 - precision: 0.9848 - recall: 0.9774 - f1-score: 0.9811
GRT        tp: 306 - fp: 7 - fn: 4 - precision: 0.9776 - recall: 0.9871 - f1-score: 0.9823
GS         tp: 1663 - fp: 24 - fn: 16 - precision: 0.9858 - recall: 0.9905 - f1-score: 0.9881
INN        tp: 187 - fp: 11 - fn: 8 - precision: 0.9444 - recall: 0.9590 - f1-score: 0.9517
LD         tp: 111 - fp: 1 - fn: 2 - precision: 0.9911 - recall: 0.9823 - f1-score: 0.9867
LDS        tp: 21 - fp: 5 - fn: 2 - precision: 0.8077 - recall: 0.9130 - f1-score: 0.8571
LIT        tp: 158 - fp: 16 - fn: 19 - precision: 0.9080 - recall: 0.8927 - f1-score: 0.9003
MRK        tp: 25 - fp: 4 - fn: 3 - precision: 0.8621 - recall: 0.8929 - f1-score: 0.8772
ORG        tp: 88 - fp: 16 - fn: 14 - precision: 0.8462 - recall: 0.8627 - f1-score: 0.8544
PER        tp: 150 - fp: 14 - fn: 12 - precision: 0.9146 - recall: 0.9259 - f1-score: 0.9202
RR         tp: 145 - fp: 2 - fn: 2 - precision: 0.9864 - recall: 0.9864 - f1-score: 0.9864
RS         tp: 820 - fp: 24 - fn: 21 - precision: 0.9716 - recall: 0.9750 - f1-score: 0.9733
ST         tp: 67 - fp: 12 - fn: 8 - precision: 0.8481 - recall: 0.8933 - f1-score: 0.8701
STR        tp: 7 - fp: 1 - fn: 2 - precision: 0.8750 - recall: 0.7778 - f1-score: 0.8235
UN         tp: 100 - fp: 5 - fn: 7 - precision: 0.9524 - recall: 0.9346 - f1-score: 0.9434
VO         tp: 62 - fp: 4 - fn: 3 - precision: 0.9394 - recall: 0.9538 - f1-score: 0.9466
VS         tp: 42 - fp: 6 - fn: 11 - precision: 0.8750 - recall: 0.7925 - f1-score: 0.8317
VT         tp: 233 - fp: 17 - fn: 15 - precision: 0.9320 - recall: 0.9395 - f1-score: 0.9357
2020-09-12 09:15:46,369 ----------------------------------------------------------------------------------------------------