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hamedkhaledi
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persian-flair-pos

Token Classification
Flair
PyTorch
Persian
sequence-tagger-model
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 Community
hamedkhaledi commited on
Commit
e5868c3
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1 Parent(s): fc8375b

Update model

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Files changed (3) hide show
  1. loss.tsv +25 -25
  2. pytorch_model.bin +2 -2
  3. training.log +414 -413
loss.tsv CHANGED
@@ -1,26 +1,26 @@
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  EPOCH TIMESTAMP BAD_EPOCHS LEARNING_RATE TRAIN_LOSS
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- 1 17:39:58 0 0.1000 0.3109681178284759
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  EPOCH TIMESTAMP BAD_EPOCHS LEARNING_RATE TRAIN_LOSS
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pytorch_model.bin CHANGED
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  version https://git-lfs.github.com/spec/v1
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- size 380599364
 
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training.log CHANGED
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- 2022-08-06 17:35:48,202 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:35:48,202 Model: "SequenceTagger(
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  (embeddings): StackedEmbeddings(
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- (list_embedding_0): WordEmbeddings('fa')
 
 
 
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  (list_embedding_1): FlairEmbeddings(
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  (lm): LanguageModel(
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  (drop): Dropout(p=0.1, inplace=False)
@@ -22,424 +25,422 @@
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  (word_dropout): WordDropout(p=0.05)
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  (locked_dropout): LockedDropout(p=0.5)
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  (rnn): LSTM(4396, 512, batch_first=True, bidirectional=True)
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- (linear): Linear(in_features=1024, out_features=30, bias=True)
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- (beta): 1.0
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- (weights): None
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- (weight_tensor) None
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  )"
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- 2022-08-06 17:35:48,203 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:35:48,203 Corpus: "Corpus: 24000 train + 3000 dev + 3000 test sentences"
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- 2022-08-06 17:35:48,203 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:35:48,203 Parameters:
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- 2022-08-06 17:35:48,203 - learning_rate: "0.1"
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- 2022-08-06 17:35:48,203 - mini_batch_size: "8"
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- 2022-08-06 17:35:48,203 - patience: "3"
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- 2022-08-06 17:35:48,203 - anneal_factor: "0.5"
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- 2022-08-06 17:35:48,203 - max_epochs: "25"
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- 2022-08-06 17:35:48,203 - shuffle: "True"
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- 2022-08-06 17:35:48,203 - train_with_dev: "True"
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- 2022-08-06 17:35:48,203 - batch_growth_annealing: "False"
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- 2022-08-06 17:35:48,203 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:35:48,203 Model training base path: "data/pos-Uppsala/model2"
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- 2022-08-06 17:35:48,203 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:35:48,203 Device: cuda:0
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- 2022-08-06 17:35:48,203 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:35:48,203 Embeddings storage mode: gpu
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- 2022-08-06 17:35:48,204 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:36:07,702 epoch 1 - iter 337/3375 - loss 0.77290691 - samples/sec: 138.41 - lr: 0.100000
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- 2022-08-06 17:36:34,210 epoch 1 - iter 674/3375 - loss 0.55640684 - samples/sec: 101.78 - lr: 0.100000
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- 2022-08-06 17:36:57,947 epoch 1 - iter 1011/3375 - loss 0.48188686 - samples/sec: 113.68 - lr: 0.100000
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- 2022-08-06 17:37:26,596 epoch 1 - iter 1348/3375 - loss 0.42604018 - samples/sec: 94.17 - lr: 0.100000
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- 2022-08-06 17:37:51,571 epoch 1 - iter 1685/3375 - loss 0.39190904 - samples/sec: 108.03 - lr: 0.100000
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- 2022-08-06 17:38:15,619 epoch 1 - iter 2022/3375 - loss 0.36624726 - samples/sec: 112.20 - lr: 0.100000
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- 2022-08-06 17:38:39,142 epoch 1 - iter 2359/3375 - loss 0.34624083 - samples/sec: 114.72 - lr: 0.100000
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- 2022-08-06 17:39:02,810 epoch 1 - iter 2696/3375 - loss 0.33885530 - samples/sec: 113.99 - lr: 0.100000
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- 2022-08-06 17:39:28,607 epoch 1 - iter 3033/3375 - loss 0.32396264 - samples/sec: 104.59 - lr: 0.100000
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- 2022-08-06 17:39:57,555 epoch 1 - iter 3370/3375 - loss 0.31127943 - samples/sec: 93.19 - lr: 0.100000
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- 2022-08-06 17:39:58,067 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:39:58,067 EPOCH 1 done: loss 0.3110 - lr 0.1000000
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- 2022-08-06 17:39:58,067 BAD EPOCHS (no improvement): 0
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- 2022-08-06 17:39:58,067 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:40:03,822 epoch 2 - iter 337/3375 - loss 0.22000243 - samples/sec: 470.89 - lr: 0.100000
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- 2022-08-06 17:40:08,271 epoch 2 - iter 674/3375 - loss 0.21810059 - samples/sec: 608.44 - lr: 0.100000
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- 2022-08-06 17:40:12,545 epoch 2 - iter 1011/3375 - loss 0.21667145 - samples/sec: 633.25 - lr: 0.100000
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- 2022-08-06 17:40:16,752 epoch 2 - iter 1348/3375 - loss 0.21318611 - samples/sec: 643.42 - lr: 0.100000
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- 2022-08-06 17:40:20,957 epoch 2 - iter 1685/3375 - loss 0.21031869 - samples/sec: 643.76 - lr: 0.100000
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- 2022-08-06 17:40:25,137 epoch 2 - iter 2022/3375 - loss 0.20983332 - samples/sec: 647.48 - lr: 0.100000
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- 2022-08-06 17:40:29,599 epoch 2 - iter 2359/3375 - loss 0.20703899 - samples/sec: 606.71 - lr: 0.100000
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- 2022-08-06 17:40:34,023 epoch 2 - iter 2696/3375 - loss 0.20541980 - samples/sec: 611.99 - lr: 0.100000
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- 2022-08-06 17:40:38,282 epoch 2 - iter 3033/3375 - loss 0.20260610 - samples/sec: 635.82 - lr: 0.100000
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- 2022-08-06 17:40:42,609 epoch 2 - iter 3370/3375 - loss 0.20057442 - samples/sec: 625.77 - lr: 0.100000
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- 2022-08-06 17:40:42,665 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:40:42,665 EPOCH 2 done: loss 0.2006 - lr 0.1000000
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- 2022-08-06 17:40:42,665 BAD EPOCHS (no improvement): 0
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- 2022-08-06 17:40:42,666 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:40:47,025 epoch 3 - iter 337/3375 - loss 0.17771924 - samples/sec: 621.20 - lr: 0.100000
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- 2022-08-06 17:40:51,398 epoch 3 - iter 674/3375 - loss 0.17936778 - samples/sec: 619.19 - lr: 0.100000
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- 2022-08-06 17:40:56,125 epoch 3 - iter 1011/3375 - loss 0.18121841 - samples/sec: 572.69 - lr: 0.100000
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- 2022-08-06 17:41:00,518 epoch 3 - iter 1348/3375 - loss 0.17922858 - samples/sec: 616.39 - lr: 0.100000
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- 2022-08-06 17:41:04,814 epoch 3 - iter 1685/3375 - loss 0.17910916 - samples/sec: 629.94 - lr: 0.100000
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- 2022-08-06 17:41:09,164 epoch 3 - iter 2022/3375 - loss 0.17786989 - samples/sec: 622.33 - lr: 0.100000
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- 2022-08-06 17:41:13,758 epoch 3 - iter 2359/3375 - loss 0.17680080 - samples/sec: 589.38 - lr: 0.100000
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- 2022-08-06 17:41:18,128 epoch 3 - iter 2696/3375 - loss 0.17616815 - samples/sec: 619.46 - lr: 0.100000
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- 2022-08-06 17:41:22,541 epoch 3 - iter 3033/3375 - loss 0.17461992 - samples/sec: 613.49 - lr: 0.100000
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- 2022-08-06 17:41:27,173 epoch 3 - iter 3370/3375 - loss 0.17265068 - samples/sec: 584.33 - lr: 0.100000
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- 2022-08-06 17:41:27,251 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:41:27,251 EPOCH 3 done: loss 0.1726 - lr 0.1000000
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- 2022-08-06 17:41:27,251 BAD EPOCHS (no improvement): 0
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- 2022-08-06 17:41:27,251 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:41:31,673 epoch 4 - iter 337/3375 - loss 0.15437579 - samples/sec: 612.33 - lr: 0.100000
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- 2022-08-06 17:41:36,072 epoch 4 - iter 674/3375 - loss 0.15652144 - samples/sec: 615.26 - lr: 0.100000
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- 2022-08-06 17:41:40,469 epoch 4 - iter 1011/3375 - loss 0.15490180 - samples/sec: 615.65 - lr: 0.100000
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- 2022-08-06 17:41:44,794 epoch 4 - iter 1348/3375 - loss 0.15480884 - samples/sec: 625.89 - lr: 0.100000
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- 2022-08-06 17:41:49,059 epoch 4 - iter 1685/3375 - loss 0.15396863 - samples/sec: 634.71 - lr: 0.100000
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- 2022-08-06 17:41:53,454 epoch 4 - iter 2022/3375 - loss 0.15340456 - samples/sec: 615.96 - lr: 0.100000
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- 2022-08-06 17:41:58,152 epoch 4 - iter 2359/3375 - loss 0.15515344 - samples/sec: 576.18 - lr: 0.100000
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- 2022-08-06 17:42:02,284 epoch 4 - iter 2696/3375 - loss 0.15519133 - samples/sec: 655.28 - lr: 0.100000
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- 2022-08-06 17:42:06,584 epoch 4 - iter 3033/3375 - loss 0.15564569 - samples/sec: 629.61 - lr: 0.100000
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- 2022-08-06 17:42:11,133 epoch 4 - iter 3370/3375 - loss 0.15577193 - samples/sec: 595.04 - lr: 0.100000
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- 2022-08-06 17:42:11,209 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:42:11,209 EPOCH 4 done: loss 0.1558 - lr 0.1000000
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- 2022-08-06 17:42:11,209 BAD EPOCHS (no improvement): 0
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- 2022-08-06 17:42:11,209 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:42:15,710 epoch 5 - iter 337/3375 - loss 0.16345933 - samples/sec: 601.61 - lr: 0.100000
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- 2022-08-06 17:42:20,321 epoch 5 - iter 674/3375 - loss 0.15117171 - samples/sec: 587.22 - lr: 0.100000
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- 2022-08-06 17:42:24,785 epoch 5 - iter 1011/3375 - loss 0.14779631 - samples/sec: 606.48 - lr: 0.100000
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- 2022-08-06 17:42:29,011 epoch 5 - iter 1348/3375 - loss 0.14941071 - samples/sec: 640.49 - lr: 0.100000
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- 2022-08-06 17:42:33,568 epoch 5 - iter 1685/3375 - loss 0.14817966 - samples/sec: 594.13 - lr: 0.100000
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- 2022-08-06 17:42:37,869 epoch 5 - iter 2022/3375 - loss 0.14807553 - samples/sec: 629.20 - lr: 0.100000
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- 2022-08-06 17:42:42,062 epoch 5 - iter 2359/3375 - loss 0.14806238 - samples/sec: 645.63 - lr: 0.100000
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- 2022-08-06 17:42:46,590 epoch 5 - iter 2696/3375 - loss 0.14768088 - samples/sec: 597.74 - lr: 0.100000
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- 2022-08-06 17:42:51,012 epoch 5 - iter 3033/3375 - loss 0.14692530 - samples/sec: 611.95 - lr: 0.100000
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- 2022-08-06 17:42:55,435 epoch 5 - iter 3370/3375 - loss 0.14619224 - samples/sec: 612.11 - lr: 0.100000
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- 2022-08-06 17:42:55,501 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:42:55,501 EPOCH 5 done: loss 0.1461 - lr 0.1000000
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- 2022-08-06 17:42:55,501 BAD EPOCHS (no improvement): 0
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- 2022-08-06 17:42:55,502 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:43:00,680 epoch 6 - iter 337/3375 - loss 0.12871632 - samples/sec: 523.18 - lr: 0.100000
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- 2022-08-06 17:43:05,230 epoch 6 - iter 674/3375 - loss 0.12960435 - samples/sec: 594.96 - lr: 0.100000
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- 2022-08-06 17:43:09,879 epoch 6 - iter 1011/3375 - loss 0.13138410 - samples/sec: 582.36 - lr: 0.100000
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- 2022-08-06 17:43:14,516 epoch 6 - iter 1348/3375 - loss 0.13677806 - samples/sec: 583.86 - lr: 0.100000
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- 2022-08-06 17:43:18,882 epoch 6 - iter 1685/3375 - loss 0.13670652 - samples/sec: 620.11 - lr: 0.100000
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- 2022-08-06 17:43:23,704 epoch 6 - iter 2022/3375 - loss 0.13668428 - samples/sec: 561.38 - lr: 0.100000
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- 2022-08-06 17:43:28,769 epoch 6 - iter 2359/3375 - loss 0.13640742 - samples/sec: 534.52 - lr: 0.100000
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- 2022-08-06 17:43:33,236 epoch 6 - iter 2696/3375 - loss 0.13755392 - samples/sec: 606.04 - lr: 0.100000
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- 2022-08-06 17:43:37,586 epoch 6 - iter 3033/3375 - loss 0.13746161 - samples/sec: 622.08 - lr: 0.100000
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- 2022-08-06 17:43:42,082 epoch 6 - iter 3370/3375 - loss 0.13723492 - samples/sec: 602.17 - lr: 0.100000
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- 2022-08-06 17:43:42,147 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:43:42,147 EPOCH 6 done: loss 0.1372 - lr 0.1000000
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- 2022-08-06 17:43:42,147 BAD EPOCHS (no improvement): 0
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- 2022-08-06 17:43:42,147 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:43:46,395 epoch 7 - iter 337/3375 - loss 0.12821719 - samples/sec: 637.32 - lr: 0.100000
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- 2022-08-06 17:43:50,792 epoch 7 - iter 674/3375 - loss 0.12611973 - samples/sec: 615.63 - lr: 0.100000
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- 2022-08-06 17:43:55,039 epoch 7 - iter 1011/3375 - loss 0.13539270 - samples/sec: 637.45 - lr: 0.100000
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- 2022-08-06 17:44:00,049 epoch 7 - iter 1348/3375 - loss 0.13449392 - samples/sec: 540.37 - lr: 0.100000
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- 2022-08-06 17:44:05,561 epoch 7 - iter 1685/3375 - loss 0.13480434 - samples/sec: 491.30 - lr: 0.100000
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- 2022-08-06 17:44:09,812 epoch 7 - iter 2022/3375 - loss 0.13393960 - samples/sec: 636.70 - lr: 0.100000
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- 2022-08-06 17:44:14,239 epoch 7 - iter 2359/3375 - loss 0.13271508 - samples/sec: 611.43 - lr: 0.100000
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- 2022-08-06 17:44:18,867 epoch 7 - iter 2696/3375 - loss 0.13228520 - samples/sec: 584.91 - lr: 0.100000
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- 2022-08-06 17:44:23,521 epoch 7 - iter 3033/3375 - loss 0.13150334 - samples/sec: 581.80 - lr: 0.100000
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- 2022-08-06 17:44:27,942 epoch 7 - iter 3370/3375 - loss 0.13119164 - samples/sec: 612.23 - lr: 0.100000
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- 2022-08-06 17:44:28,021 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:44:28,021 EPOCH 7 done: loss 0.1312 - lr 0.1000000
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- 2022-08-06 17:44:28,021 BAD EPOCHS (no improvement): 0
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- 2022-08-06 17:44:28,021 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:44:32,652 epoch 8 - iter 337/3375 - loss 0.12551768 - samples/sec: 584.91 - lr: 0.100000
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- 2022-08-06 17:44:37,159 epoch 8 - iter 674/3375 - loss 0.12325345 - samples/sec: 600.67 - lr: 0.100000
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- 2022-08-06 17:44:41,564 epoch 8 - iter 1011/3375 - loss 0.12185993 - samples/sec: 614.59 - lr: 0.100000
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- 2022-08-06 17:44:46,122 epoch 8 - iter 1348/3375 - loss 0.12479223 - samples/sec: 593.84 - lr: 0.100000
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- 2022-08-06 17:44:50,413 epoch 8 - iter 1685/3375 - loss 0.12366948 - samples/sec: 630.75 - lr: 0.100000
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- 2022-08-06 17:44:54,842 epoch 8 - iter 2022/3375 - loss 0.12476122 - samples/sec: 611.10 - lr: 0.100000
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- 2022-08-06 17:45:00,389 epoch 8 - iter 2359/3375 - loss 0.12405554 - samples/sec: 488.28 - lr: 0.100000
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- 2022-08-06 17:45:04,761 epoch 8 - iter 2696/3375 - loss 0.12467999 - samples/sec: 619.20 - lr: 0.100000
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- 2022-08-06 17:45:09,105 epoch 8 - iter 3033/3375 - loss 0.12431931 - samples/sec: 623.01 - lr: 0.100000
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- 2022-08-06 17:45:13,364 epoch 8 - iter 3370/3375 - loss 0.12402088 - samples/sec: 635.69 - lr: 0.100000
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- 2022-08-06 17:45:13,423 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:45:13,423 EPOCH 8 done: loss 0.1240 - lr 0.1000000
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- 2022-08-06 17:45:13,423 BAD EPOCHS (no improvement): 0
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- 2022-08-06 17:45:13,423 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:45:17,588 epoch 9 - iter 337/3375 - loss 0.11869226 - samples/sec: 650.16 - lr: 0.100000
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- 2022-08-06 17:45:21,974 epoch 9 - iter 674/3375 - loss 0.11761429 - samples/sec: 617.37 - lr: 0.100000
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- 2022-08-06 17:45:26,393 epoch 9 - iter 1011/3375 - loss 0.12112653 - samples/sec: 612.52 - lr: 0.100000
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- 2022-08-06 17:45:30,523 epoch 9 - iter 1348/3375 - loss 0.12016456 - samples/sec: 655.50 - lr: 0.100000
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- 2022-08-06 17:45:34,854 epoch 9 - iter 1685/3375 - loss 0.11995454 - samples/sec: 624.96 - lr: 0.100000
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- 2022-08-06 17:45:39,585 epoch 9 - iter 2022/3375 - loss 0.12040979 - samples/sec: 572.27 - lr: 0.100000
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- 2022-08-06 17:45:44,002 epoch 9 - iter 2359/3375 - loss 0.12200073 - samples/sec: 612.84 - lr: 0.100000
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- 2022-08-06 17:45:48,278 epoch 9 - iter 2696/3375 - loss 0.12147852 - samples/sec: 633.10 - lr: 0.100000
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- 2022-08-06 17:45:52,885 epoch 9 - iter 3033/3375 - loss 0.12154468 - samples/sec: 587.68 - lr: 0.100000
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- 2022-08-06 17:45:57,272 epoch 9 - iter 3370/3375 - loss 0.12092220 - samples/sec: 616.99 - lr: 0.100000
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- 2022-08-06 17:45:57,355 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:45:57,355 EPOCH 9 done: loss 0.1209 - lr 0.1000000
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- 2022-08-06 17:45:57,355 BAD EPOCHS (no improvement): 0
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- 2022-08-06 17:45:57,355 ----------------------------------------------------------------------------------------------------
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- 2022-08-06 17:46:01,777 epoch 10 - iter 337/3375 - loss 0.11757499 - samples/sec: 612.55 - lr: 0.100000
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- 2022-08-06 17:46:06,074 epoch 10 - iter 674/3375 - loss 0.11733099 - samples/sec: 629.81 - lr: 0.100000
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- 2022-08-06 17:46:10,355 epoch 10 - iter 1011/3375 - loss 0.11998283 - samples/sec: 632.25 - lr: 0.100000
178
- 2022-08-06 17:46:14,824 epoch 10 - iter 1348/3375 - loss 0.11840153 - samples/sec: 605.68 - lr: 0.100000
179
- 2022-08-06 17:46:19,148 epoch 10 - iter 1685/3375 - loss 0.11751962 - samples/sec: 626.11 - lr: 0.100000
180
- 2022-08-06 17:46:23,634 epoch 10 - iter 2022/3375 - loss 0.11761529 - samples/sec: 603.43 - lr: 0.100000
181
- 2022-08-06 17:46:28,564 epoch 10 - iter 2359/3375 - loss 0.11644619 - samples/sec: 549.14 - lr: 0.100000
182
- 2022-08-06 17:46:33,013 epoch 10 - iter 2696/3375 - loss 0.11591934 - samples/sec: 608.57 - lr: 0.100000
183
- 2022-08-06 17:46:37,268 epoch 10 - iter 3033/3375 - loss 0.11548489 - samples/sec: 636.19 - lr: 0.100000
184
- 2022-08-06 17:46:41,953 epoch 10 - iter 3370/3375 - loss 0.11560614 - samples/sec: 577.69 - lr: 0.100000
185
- 2022-08-06 17:46:42,039 ----------------------------------------------------------------------------------------------------
186
- 2022-08-06 17:46:42,039 EPOCH 10 done: loss 0.1155 - lr 0.1000000
187
- 2022-08-06 17:46:42,039 BAD EPOCHS (no improvement): 0
188
- 2022-08-06 17:46:42,040 ----------------------------------------------------------------------------------------------------
189
- 2022-08-06 17:46:47,051 epoch 11 - iter 337/3375 - loss 0.11148632 - samples/sec: 540.53 - lr: 0.100000
190
- 2022-08-06 17:46:52,152 epoch 11 - iter 674/3375 - loss 0.11042773 - samples/sec: 530.65 - lr: 0.100000
191
- 2022-08-06 17:46:57,169 epoch 11 - iter 1011/3375 - loss 0.10996054 - samples/sec: 539.75 - lr: 0.100000
192
- 2022-08-06 17:47:02,418 epoch 11 - iter 1348/3375 - loss 0.11001571 - samples/sec: 515.88 - lr: 0.100000
193
- 2022-08-06 17:47:06,655 epoch 11 - iter 1685/3375 - loss 0.11159141 - samples/sec: 639.03 - lr: 0.100000
194
- 2022-08-06 17:47:10,921 epoch 11 - iter 2022/3375 - loss 0.11114012 - samples/sec: 634.58 - lr: 0.100000
195
- 2022-08-06 17:47:15,457 epoch 11 - iter 2359/3375 - loss 0.11140276 - samples/sec: 596.99 - lr: 0.100000
196
- 2022-08-06 17:47:19,724 epoch 11 - iter 2696/3375 - loss 0.11244845 - samples/sec: 634.31 - lr: 0.100000
197
- 2022-08-06 17:47:24,060 epoch 11 - iter 3033/3375 - loss 0.11199352 - samples/sec: 624.32 - lr: 0.100000
198
- 2022-08-06 17:47:28,621 epoch 11 - iter 3370/3375 - loss 0.11235823 - samples/sec: 593.47 - lr: 0.100000
199
- 2022-08-06 17:47:28,710 ----------------------------------------------------------------------------------------------------
200
- 2022-08-06 17:47:28,710 EPOCH 11 done: loss 0.1124 - lr 0.1000000
201
- 2022-08-06 17:47:28,710 BAD EPOCHS (no improvement): 0
202
- 2022-08-06 17:47:28,711 ----------------------------------------------------------------------------------------------------
203
- 2022-08-06 17:47:33,603 epoch 12 - iter 337/3375 - loss 0.10261499 - samples/sec: 553.64 - lr: 0.100000
204
- 2022-08-06 17:47:38,030 epoch 12 - iter 674/3375 - loss 0.10679532 - samples/sec: 611.69 - lr: 0.100000
205
- 2022-08-06 17:47:42,435 epoch 12 - iter 1011/3375 - loss 0.10562828 - samples/sec: 614.62 - lr: 0.100000
206
- 2022-08-06 17:47:46,797 epoch 12 - iter 1348/3375 - loss 0.10608638 - samples/sec: 620.71 - lr: 0.100000
207
- 2022-08-06 17:47:51,540 epoch 12 - iter 1685/3375 - loss 0.10695263 - samples/sec: 570.80 - lr: 0.100000
208
- 2022-08-06 17:47:56,079 epoch 12 - iter 2022/3375 - loss 0.10777783 - samples/sec: 596.42 - lr: 0.100000
209
- 2022-08-06 17:48:00,835 epoch 12 - iter 2359/3375 - loss 0.10792335 - samples/sec: 569.39 - lr: 0.100000
210
- 2022-08-06 17:48:05,686 epoch 12 - iter 2696/3375 - loss 0.10831173 - samples/sec: 558.08 - lr: 0.100000
211
- 2022-08-06 17:48:10,274 epoch 12 - iter 3033/3375 - loss 0.10918512 - samples/sec: 590.06 - lr: 0.100000
212
- 2022-08-06 17:48:14,536 epoch 12 - iter 3370/3375 - loss 0.10901718 - samples/sec: 635.12 - lr: 0.100000
213
- 2022-08-06 17:48:14,587 ----------------------------------------------------------------------------------------------------
214
- 2022-08-06 17:48:14,587 EPOCH 12 done: loss 0.1090 - lr 0.1000000
215
- 2022-08-06 17:48:14,587 BAD EPOCHS (no improvement): 0
216
- 2022-08-06 17:48:14,587 ----------------------------------------------------------------------------------------------------
217
- 2022-08-06 17:48:18,825 epoch 13 - iter 337/3375 - loss 0.10530914 - samples/sec: 638.90 - lr: 0.100000
218
- 2022-08-06 17:48:23,307 epoch 13 - iter 674/3375 - loss 0.10464441 - samples/sec: 603.86 - lr: 0.100000
219
- 2022-08-06 17:48:27,651 epoch 13 - iter 1011/3375 - loss 0.10306362 - samples/sec: 623.29 - lr: 0.100000
220
- 2022-08-06 17:48:32,134 epoch 13 - iter 1348/3375 - loss 0.10420551 - samples/sec: 603.86 - lr: 0.100000
221
- 2022-08-06 17:48:36,266 epoch 13 - iter 1685/3375 - loss 0.10452131 - samples/sec: 655.29 - lr: 0.100000
222
- 2022-08-06 17:48:40,833 epoch 13 - iter 2022/3375 - loss 0.10408465 - samples/sec: 592.81 - lr: 0.100000
223
- 2022-08-06 17:48:45,313 epoch 13 - iter 2359/3375 - loss 0.10568763 - samples/sec: 604.26 - lr: 0.100000
224
- 2022-08-06 17:48:49,615 epoch 13 - iter 2696/3375 - loss 0.10543009 - samples/sec: 629.36 - lr: 0.100000
225
- 2022-08-06 17:48:54,244 epoch 13 - iter 3033/3375 - loss 0.10589822 - samples/sec: 584.89 - lr: 0.100000
226
- 2022-08-06 17:48:58,821 epoch 13 - iter 3370/3375 - loss 0.10586039 - samples/sec: 591.43 - lr: 0.100000
227
- 2022-08-06 17:48:58,876 ----------------------------------------------------------------------------------------------------
228
- 2022-08-06 17:48:58,876 EPOCH 13 done: loss 0.1058 - lr 0.1000000
229
- 2022-08-06 17:48:58,876 BAD EPOCHS (no improvement): 0
230
- 2022-08-06 17:48:58,876 ----------------------------------------------------------------------------------------------------
231
- 2022-08-06 17:49:03,753 epoch 14 - iter 337/3375 - loss 0.10266463 - samples/sec: 555.22 - lr: 0.100000
232
- 2022-08-06 17:49:08,105 epoch 14 - iter 674/3375 - loss 0.09986994 - samples/sec: 622.09 - lr: 0.100000
233
- 2022-08-06 17:49:12,382 epoch 14 - iter 1011/3375 - loss 0.10064186 - samples/sec: 632.97 - lr: 0.100000
234
- 2022-08-06 17:49:16,500 epoch 14 - iter 1348/3375 - loss 0.10036665 - samples/sec: 657.29 - lr: 0.100000
235
- 2022-08-06 17:49:20,879 epoch 14 - iter 1685/3375 - loss 0.10064704 - samples/sec: 618.21 - lr: 0.100000
236
- 2022-08-06 17:49:25,715 epoch 14 - iter 2022/3375 - loss 0.10124885 - samples/sec: 559.90 - lr: 0.100000
237
- 2022-08-06 17:49:30,441 epoch 14 - iter 2359/3375 - loss 0.10219313 - samples/sec: 572.62 - lr: 0.100000
238
- 2022-08-06 17:49:35,333 epoch 14 - iter 2696/3375 - loss 0.10255165 - samples/sec: 553.46 - lr: 0.100000
239
- 2022-08-06 17:49:40,241 epoch 14 - iter 3033/3375 - loss 0.10345096 - samples/sec: 551.63 - lr: 0.100000
240
- 2022-08-06 17:49:44,508 epoch 14 - iter 3370/3375 - loss 0.10320104 - samples/sec: 634.41 - lr: 0.100000
241
- 2022-08-06 17:49:44,571 ----------------------------------------------------------------------------------------------------
242
- 2022-08-06 17:49:44,571 EPOCH 14 done: loss 0.1032 - lr 0.1000000
243
- 2022-08-06 17:49:44,571 BAD EPOCHS (no improvement): 0
244
- 2022-08-06 17:49:44,572 ----------------------------------------------------------------------------------------------------
245
- 2022-08-06 17:49:48,789 epoch 15 - iter 337/3375 - loss 0.09291307 - samples/sec: 641.93 - lr: 0.100000
246
- 2022-08-06 17:49:53,220 epoch 15 - iter 674/3375 - loss 0.09850943 - samples/sec: 611.07 - lr: 0.100000
247
- 2022-08-06 17:49:58,173 epoch 15 - iter 1011/3375 - loss 0.09952572 - samples/sec: 546.65 - lr: 0.100000
248
- 2022-08-06 17:50:02,751 epoch 15 - iter 1348/3375 - loss 0.10078682 - samples/sec: 591.25 - lr: 0.100000
249
- 2022-08-06 17:50:07,256 epoch 15 - iter 1685/3375 - loss 0.09969399 - samples/sec: 601.10 - lr: 0.100000
250
- 2022-08-06 17:50:11,608 epoch 15 - iter 2022/3375 - loss 0.09989152 - samples/sec: 621.99 - lr: 0.100000
251
- 2022-08-06 17:50:16,244 epoch 15 - iter 2359/3375 - loss 0.09949392 - samples/sec: 583.90 - lr: 0.100000
252
- 2022-08-06 17:50:20,702 epoch 15 - iter 2696/3375 - loss 0.09970785 - samples/sec: 607.41 - lr: 0.100000
253
- 2022-08-06 17:50:25,046 epoch 15 - iter 3033/3375 - loss 0.09973762 - samples/sec: 623.09 - lr: 0.100000
254
- 2022-08-06 17:50:30,228 epoch 15 - iter 3370/3375 - loss 0.10015630 - samples/sec: 522.57 - lr: 0.100000
255
- 2022-08-06 17:50:30,326 ----------------------------------------------------------------------------------------------------
256
- 2022-08-06 17:50:30,326 EPOCH 15 done: loss 0.1002 - lr 0.1000000
257
- 2022-08-06 17:50:30,326 BAD EPOCHS (no improvement): 0
258
- 2022-08-06 17:50:30,326 ----------------------------------------------------------------------------------------------------
259
- 2022-08-06 17:50:34,860 epoch 16 - iter 337/3375 - loss 0.09309189 - samples/sec: 597.50 - lr: 0.100000
260
- 2022-08-06 17:50:39,588 epoch 16 - iter 674/3375 - loss 0.09433545 - samples/sec: 572.69 - lr: 0.100000
261
- 2022-08-06 17:50:43,862 epoch 16 - iter 1011/3375 - loss 0.09591019 - samples/sec: 633.44 - lr: 0.100000
262
- 2022-08-06 17:50:48,264 epoch 16 - iter 1348/3375 - loss 0.09714011 - samples/sec: 615.21 - lr: 0.100000
263
- 2022-08-06 17:50:52,778 epoch 16 - iter 1685/3375 - loss 0.09734419 - samples/sec: 599.67 - lr: 0.100000
264
- 2022-08-06 17:50:56,980 epoch 16 - iter 2022/3375 - loss 0.09740550 - samples/sec: 644.23 - lr: 0.100000
265
- 2022-08-06 17:51:01,265 epoch 16 - iter 2359/3375 - loss 0.09825085 - samples/sec: 631.79 - lr: 0.100000
266
- 2022-08-06 17:51:05,586 epoch 16 - iter 2696/3375 - loss 0.09761991 - samples/sec: 626.34 - lr: 0.100000
267
- 2022-08-06 17:51:09,789 epoch 16 - iter 3033/3375 - loss 0.09769947 - samples/sec: 644.03 - lr: 0.100000
268
- 2022-08-06 17:51:14,125 epoch 16 - iter 3370/3375 - loss 0.09815652 - samples/sec: 624.14 - lr: 0.100000
269
- 2022-08-06 17:51:14,187 ----------------------------------------------------------------------------------------------------
270
- 2022-08-06 17:51:14,187 EPOCH 16 done: loss 0.0982 - lr 0.1000000
271
- 2022-08-06 17:51:14,187 BAD EPOCHS (no improvement): 0
272
- 2022-08-06 17:51:14,187 ----------------------------------------------------------------------------------------------------
273
- 2022-08-06 17:51:18,926 epoch 17 - iter 337/3375 - loss 0.09746284 - samples/sec: 571.40 - lr: 0.100000
274
- 2022-08-06 17:51:23,350 epoch 17 - iter 674/3375 - loss 0.09501375 - samples/sec: 611.81 - lr: 0.100000
275
- 2022-08-06 17:51:27,538 epoch 17 - iter 1011/3375 - loss 0.09447877 - samples/sec: 646.43 - lr: 0.100000
276
- 2022-08-06 17:51:32,786 epoch 17 - iter 1348/3375 - loss 0.09548126 - samples/sec: 515.91 - lr: 0.100000
277
- 2022-08-06 17:51:37,524 epoch 17 - iter 1685/3375 - loss 0.09583694 - samples/sec: 571.43 - lr: 0.100000
278
- 2022-08-06 17:51:42,195 epoch 17 - iter 2022/3375 - loss 0.09600862 - samples/sec: 579.61 - lr: 0.100000
279
- 2022-08-06 17:51:46,571 epoch 17 - iter 2359/3375 - loss 0.09545410 - samples/sec: 618.73 - lr: 0.100000
280
- 2022-08-06 17:51:51,161 epoch 17 - iter 2696/3375 - loss 0.09542768 - samples/sec: 589.75 - lr: 0.100000
281
- 2022-08-06 17:51:55,581 epoch 17 - iter 3033/3375 - loss 0.09564076 - samples/sec: 612.22 - lr: 0.100000
282
- 2022-08-06 17:52:00,366 epoch 17 - iter 3370/3375 - loss 0.09552351 - samples/sec: 565.88 - lr: 0.100000
283
- 2022-08-06 17:52:00,466 ----------------------------------------------------------------------------------------------------
284
- 2022-08-06 17:52:00,466 EPOCH 17 done: loss 0.0955 - lr 0.1000000
285
- 2022-08-06 17:52:00,466 BAD EPOCHS (no improvement): 0
286
- 2022-08-06 17:52:00,467 ----------------------------------------------------------------------------------------------------
287
- 2022-08-06 17:52:05,126 epoch 18 - iter 337/3375 - loss 0.09523719 - samples/sec: 581.51 - lr: 0.100000
288
- 2022-08-06 17:52:09,813 epoch 18 - iter 674/3375 - loss 0.09450967 - samples/sec: 577.48 - lr: 0.100000
289
- 2022-08-06 17:52:14,214 epoch 18 - iter 1011/3375 - loss 0.09350620 - samples/sec: 614.93 - lr: 0.100000
290
- 2022-08-06 17:52:18,695 epoch 18 - iter 1348/3375 - loss 0.09537413 - samples/sec: 604.13 - lr: 0.100000
291
- 2022-08-06 17:52:23,194 epoch 18 - iter 1685/3375 - loss 0.09425488 - samples/sec: 601.78 - lr: 0.100000
292
- 2022-08-06 17:52:27,455 epoch 18 - iter 2022/3375 - loss 0.09334668 - samples/sec: 635.22 - lr: 0.100000
293
- 2022-08-06 17:52:31,848 epoch 18 - iter 2359/3375 - loss 0.09344352 - samples/sec: 616.12 - lr: 0.100000
294
- 2022-08-06 17:52:36,473 epoch 18 - iter 2696/3375 - loss 0.09299327 - samples/sec: 585.57 - lr: 0.100000
295
- 2022-08-06 17:52:41,003 epoch 18 - iter 3033/3375 - loss 0.09300260 - samples/sec: 597.47 - lr: 0.100000
296
- 2022-08-06 17:52:45,386 epoch 18 - iter 3370/3375 - loss 0.09343840 - samples/sec: 617.52 - lr: 0.100000
297
- 2022-08-06 17:52:45,447 ----------------------------------------------------------------------------------------------------
298
- 2022-08-06 17:52:45,447 EPOCH 18 done: loss 0.0934 - lr 0.1000000
299
- 2022-08-06 17:52:45,447 BAD EPOCHS (no improvement): 0
300
- 2022-08-06 17:52:45,447 ----------------------------------------------------------------------------------------------------
301
- 2022-08-06 17:52:50,328 epoch 19 - iter 337/3375 - loss 0.09183730 - samples/sec: 555.07 - lr: 0.100000
302
- 2022-08-06 17:52:54,916 epoch 19 - iter 674/3375 - loss 0.09369803 - samples/sec: 590.07 - lr: 0.100000
303
- 2022-08-06 17:52:59,194 epoch 19 - iter 1011/3375 - loss 0.09249498 - samples/sec: 632.78 - lr: 0.100000
304
- 2022-08-06 17:53:04,075 epoch 19 - iter 1348/3375 - loss 0.09142685 - samples/sec: 554.67 - lr: 0.100000
305
- 2022-08-06 17:53:08,444 epoch 19 - iter 1685/3375 - loss 0.09456761 - samples/sec: 619.54 - lr: 0.100000
306
- 2022-08-06 17:53:12,935 epoch 19 - iter 2022/3375 - loss 0.09320509 - samples/sec: 602.65 - lr: 0.100000
307
- 2022-08-06 17:53:17,403 epoch 19 - iter 2359/3375 - loss 0.09305377 - samples/sec: 605.93 - lr: 0.100000
308
- 2022-08-06 17:53:21,539 epoch 19 - iter 2696/3375 - loss 0.09314087 - samples/sec: 654.49 - lr: 0.100000
309
- 2022-08-06 17:53:25,681 epoch 19 - iter 3033/3375 - loss 0.09290888 - samples/sec: 653.59 - lr: 0.100000
310
- 2022-08-06 17:53:30,867 epoch 19 - iter 3370/3375 - loss 0.09356361 - samples/sec: 522.02 - lr: 0.100000
311
- 2022-08-06 17:53:30,949 ----------------------------------------------------------------------------------------------------
312
- 2022-08-06 17:53:30,950 EPOCH 19 done: loss 0.0936 - lr 0.1000000
313
- 2022-08-06 17:53:30,950 BAD EPOCHS (no improvement): 1
314
- 2022-08-06 17:53:30,950 ----------------------------------------------------------------------------------------------------
315
- 2022-08-06 17:53:35,766 epoch 20 - iter 337/3375 - loss 0.08592285 - samples/sec: 562.61 - lr: 0.100000
316
- 2022-08-06 17:53:40,368 epoch 20 - iter 674/3375 - loss 0.08824294 - samples/sec: 588.15 - lr: 0.100000
317
- 2022-08-06 17:53:44,867 epoch 20 - iter 1011/3375 - loss 0.08782340 - samples/sec: 601.81 - lr: 0.100000
318
- 2022-08-06 17:53:49,378 epoch 20 - iter 1348/3375 - loss 0.08879308 - samples/sec: 600.08 - lr: 0.100000
319
- 2022-08-06 17:53:53,750 epoch 20 - iter 1685/3375 - loss 0.08912537 - samples/sec: 619.31 - lr: 0.100000
320
- 2022-08-06 17:53:58,438 epoch 20 - iter 2022/3375 - loss 0.08964443 - samples/sec: 577.38 - lr: 0.100000
321
- 2022-08-06 17:54:03,640 epoch 20 - iter 2359/3375 - loss 0.09111402 - samples/sec: 520.50 - lr: 0.100000
322
- 2022-08-06 17:54:08,314 epoch 20 - iter 2696/3375 - loss 0.09094169 - samples/sec: 579.27 - lr: 0.100000
323
- 2022-08-06 17:54:12,604 epoch 20 - iter 3033/3375 - loss 0.09075914 - samples/sec: 631.05 - lr: 0.100000
324
- 2022-08-06 17:54:16,884 epoch 20 - iter 3370/3375 - loss 0.09071504 - samples/sec: 632.42 - lr: 0.100000
325
- 2022-08-06 17:54:16,961 ----------------------------------------------------------------------------------------------------
326
- 2022-08-06 17:54:16,961 EPOCH 20 done: loss 0.0907 - lr 0.1000000
327
- 2022-08-06 17:54:16,961 BAD EPOCHS (no improvement): 0
328
- 2022-08-06 17:54:16,962 ----------------------------------------------------------------------------------------------------
329
- 2022-08-06 17:54:21,579 epoch 21 - iter 337/3375 - loss 0.08841872 - samples/sec: 586.44 - lr: 0.100000
330
- 2022-08-06 17:54:25,873 epoch 21 - iter 674/3375 - loss 0.09033463 - samples/sec: 630.54 - lr: 0.100000
331
- 2022-08-06 17:54:30,408 epoch 21 - iter 1011/3375 - loss 0.08778770 - samples/sec: 596.92 - lr: 0.100000
332
- 2022-08-06 17:54:35,094 epoch 21 - iter 1348/3375 - loss 0.08826479 - samples/sec: 577.63 - lr: 0.100000
333
- 2022-08-06 17:54:39,794 epoch 21 - iter 1685/3375 - loss 0.08952893 - samples/sec: 575.93 - lr: 0.100000
334
- 2022-08-06 17:54:44,231 epoch 21 - iter 2022/3375 - loss 0.08859231 - samples/sec: 610.18 - lr: 0.100000
335
- 2022-08-06 17:54:48,578 epoch 21 - iter 2359/3375 - loss 0.08908605 - samples/sec: 622.78 - lr: 0.100000
336
- 2022-08-06 17:54:53,007 epoch 21 - iter 2696/3375 - loss 0.08985834 - samples/sec: 611.21 - lr: 0.100000
337
- 2022-08-06 17:54:57,442 epoch 21 - iter 3033/3375 - loss 0.08930750 - samples/sec: 610.45 - lr: 0.100000
338
- 2022-08-06 17:55:02,206 epoch 21 - iter 3370/3375 - loss 0.08932127 - samples/sec: 568.31 - lr: 0.100000
339
- 2022-08-06 17:55:02,283 ----------------------------------------------------------------------------------------------------
340
- 2022-08-06 17:55:02,283 EPOCH 21 done: loss 0.0894 - lr 0.1000000
341
- 2022-08-06 17:55:02,283 BAD EPOCHS (no improvement): 0
342
- 2022-08-06 17:55:02,283 ----------------------------------------------------------------------------------------------------
343
- 2022-08-06 17:55:06,802 epoch 22 - iter 337/3375 - loss 0.09520887 - samples/sec: 599.23 - lr: 0.100000
344
- 2022-08-06 17:55:10,986 epoch 22 - iter 674/3375 - loss 0.08822703 - samples/sec: 646.83 - lr: 0.100000
345
- 2022-08-06 17:55:15,255 epoch 22 - iter 1011/3375 - loss 0.08622536 - samples/sec: 634.09 - lr: 0.100000
346
- 2022-08-06 17:55:19,649 epoch 22 - iter 1348/3375 - loss 0.08564414 - samples/sec: 616.17 - lr: 0.100000
347
- 2022-08-06 17:55:24,104 epoch 22 - iter 1685/3375 - loss 0.08673066 - samples/sec: 607.75 - lr: 0.100000
348
- 2022-08-06 17:55:28,976 epoch 22 - iter 2022/3375 - loss 0.08631774 - samples/sec: 555.74 - lr: 0.100000
349
- 2022-08-06 17:55:34,330 epoch 22 - iter 2359/3375 - loss 0.08715661 - samples/sec: 505.64 - lr: 0.100000
350
- 2022-08-06 17:55:38,933 epoch 22 - iter 2696/3375 - loss 0.08728198 - samples/sec: 588.32 - lr: 0.100000
351
- 2022-08-06 17:55:43,208 epoch 22 - iter 3033/3375 - loss 0.08684389 - samples/sec: 633.19 - lr: 0.100000
352
- 2022-08-06 17:55:47,534 epoch 22 - iter 3370/3375 - loss 0.08722766 - samples/sec: 625.79 - lr: 0.100000
353
- 2022-08-06 17:55:47,604 ----------------------------------------------------------------------------------------------------
354
- 2022-08-06 17:55:47,604 EPOCH 22 done: loss 0.0872 - lr 0.1000000
355
- 2022-08-06 17:55:47,604 BAD EPOCHS (no improvement): 0
356
- 2022-08-06 17:55:47,604 ----------------------------------------------------------------------------------------------------
357
- 2022-08-06 17:55:52,186 epoch 23 - iter 337/3375 - loss 0.08017333 - samples/sec: 590.96 - lr: 0.100000
358
- 2022-08-06 17:55:56,925 epoch 23 - iter 674/3375 - loss 0.08566375 - samples/sec: 571.20 - lr: 0.100000
359
- 2022-08-06 17:56:02,124 epoch 23 - iter 1011/3375 - loss 0.08434552 - samples/sec: 520.85 - lr: 0.100000
360
- 2022-08-06 17:56:06,416 epoch 23 - iter 1348/3375 - loss 0.08355178 - samples/sec: 630.72 - lr: 0.100000
361
- 2022-08-06 17:56:10,582 epoch 23 - iter 1685/3375 - loss 0.08448399 - samples/sec: 649.88 - lr: 0.100000
362
- 2022-08-06 17:56:14,769 epoch 23 - iter 2022/3375 - loss 0.08326237 - samples/sec: 646.48 - lr: 0.100000
363
- 2022-08-06 17:56:20,143 epoch 23 - iter 2359/3375 - loss 0.08403657 - samples/sec: 503.87 - lr: 0.100000
364
- 2022-08-06 17:56:24,669 epoch 23 - iter 2696/3375 - loss 0.08457048 - samples/sec: 598.22 - lr: 0.100000
365
- 2022-08-06 17:56:29,782 epoch 23 - iter 3033/3375 - loss 0.08508802 - samples/sec: 529.51 - lr: 0.100000
366
- 2022-08-06 17:56:35,014 epoch 23 - iter 3370/3375 - loss 0.08481329 - samples/sec: 517.53 - lr: 0.100000
367
- 2022-08-06 17:56:35,074 ----------------------------------------------------------------------------------------------------
368
- 2022-08-06 17:56:35,074 EPOCH 23 done: loss 0.0848 - lr 0.1000000
369
- 2022-08-06 17:56:35,074 BAD EPOCHS (no improvement): 0
370
- 2022-08-06 17:56:35,074 ----------------------------------------------------------------------------------------------------
371
- 2022-08-06 17:56:39,343 epoch 24 - iter 337/3375 - loss 0.07795316 - samples/sec: 634.54 - lr: 0.100000
372
- 2022-08-06 17:56:43,602 epoch 24 - iter 674/3375 - loss 0.08697526 - samples/sec: 635.47 - lr: 0.100000
373
- 2022-08-06 17:56:47,867 epoch 24 - iter 1011/3375 - loss 0.08509757 - samples/sec: 634.63 - lr: 0.100000
374
- 2022-08-06 17:56:52,131 epoch 24 - iter 1348/3375 - loss 0.08401546 - samples/sec: 634.87 - lr: 0.100000
375
- 2022-08-06 17:56:56,703 epoch 24 - iter 1685/3375 - loss 0.08334637 - samples/sec: 592.23 - lr: 0.100000
376
- 2022-08-06 17:57:01,803 epoch 24 - iter 2022/3375 - loss 0.08350469 - samples/sec: 530.86 - lr: 0.100000
377
- 2022-08-06 17:57:06,426 epoch 24 - iter 2359/3375 - loss 0.08457126 - samples/sec: 585.70 - lr: 0.100000
378
- 2022-08-06 17:57:10,620 epoch 24 - iter 2696/3375 - loss 0.08411288 - samples/sec: 645.43 - lr: 0.100000
379
- 2022-08-06 17:57:15,195 epoch 24 - iter 3033/3375 - loss 0.08372175 - samples/sec: 591.91 - lr: 0.100000
380
- 2022-08-06 17:57:19,534 epoch 24 - iter 3370/3375 - loss 0.08385091 - samples/sec: 623.89 - lr: 0.100000
381
- 2022-08-06 17:57:19,597 ----------------------------------------------------------------------------------------------------
382
- 2022-08-06 17:57:19,597 EPOCH 24 done: loss 0.0839 - lr 0.1000000
383
- 2022-08-06 17:57:19,598 BAD EPOCHS (no improvement): 0
384
- 2022-08-06 17:57:19,598 ----------------------------------------------------------------------------------------------------
385
- 2022-08-06 17:57:24,012 epoch 25 - iter 337/3375 - loss 0.08110875 - samples/sec: 613.40 - lr: 0.100000
386
- 2022-08-06 17:57:28,406 epoch 25 - iter 674/3375 - loss 0.07892701 - samples/sec: 615.98 - lr: 0.100000
387
- 2022-08-06 17:57:33,858 epoch 25 - iter 1011/3375 - loss 0.07994063 - samples/sec: 496.56 - lr: 0.100000
388
- 2022-08-06 17:57:38,355 epoch 25 - iter 1348/3375 - loss 0.08204104 - samples/sec: 601.98 - lr: 0.100000
389
- 2022-08-06 17:57:42,644 epoch 25 - iter 1685/3375 - loss 0.08232195 - samples/sec: 631.36 - lr: 0.100000
390
- 2022-08-06 17:57:47,142 epoch 25 - iter 2022/3375 - loss 0.08153107 - samples/sec: 601.89 - lr: 0.100000
391
- 2022-08-06 17:57:51,622 epoch 25 - iter 2359/3375 - loss 0.08242419 - samples/sec: 604.33 - lr: 0.100000
392
- 2022-08-06 17:57:56,375 epoch 25 - iter 2696/3375 - loss 0.08252423 - samples/sec: 569.51 - lr: 0.100000
393
- 2022-08-06 17:58:01,711 epoch 25 - iter 3033/3375 - loss 0.08258040 - samples/sec: 507.42 - lr: 0.100000
394
- 2022-08-06 17:58:06,572 epoch 25 - iter 3370/3375 - loss 0.08268759 - samples/sec: 557.05 - lr: 0.100000
395
- 2022-08-06 17:58:06,635 ----------------------------------------------------------------------------------------------------
396
- 2022-08-06 17:58:06,635 EPOCH 25 done: loss 0.0827 - lr 0.1000000
397
- 2022-08-06 17:58:06,635 BAD EPOCHS (no improvement): 0
398
- 2022-08-06 17:58:07,628 ----------------------------------------------------------------------------------------------------
399
- 2022-08-06 17:58:07,629 Testing using last state of model ...
400
- 2022-08-06 18:01:16,199 0.9702 0.9702 0.9702 0.9702
401
- 2022-08-06 18:01:16,200
 
402
  Results:
403
- - F-score (micro) 0.9702
404
- - F-score (macro) 0.882
405
- - Accuracy 0.9702
406
 
407
  By class:
408
  precision recall f1-score support
409
 
410
- N_SING 0.9757 0.9621 0.9689 30553
411
- P 0.9586 0.9948 0.9764 9951
412
- DELM 0.9985 0.9996 0.9991 8122
413
- ADJ 0.9154 0.9379 0.9265 7466
414
- CON 0.9913 0.9811 0.9862 6823
415
- N_PL 0.9803 0.9733 0.9768 5163
416
- V_PA 0.9799 0.9822 0.9811 2873
417
- V_PRS 0.9947 0.9894 0.9921 2841
418
- NUM 0.9942 0.9978 0.9960 2232
419
- PRO 0.9711 0.9522 0.9615 2258
420
- DET 0.9576 0.9633 0.9605 1853
421
  CLITIC 1.0000 1.0000 1.0000 1259
422
- V_PP 0.9742 0.9767 0.9754 1158
423
- V_SUB 0.9822 0.9661 0.9741 1031
424
- ADV 0.8607 0.8705 0.8655 880
425
- ADV_TIME 0.9183 0.9652 0.9412 489
426
  V_AUX 0.9921 0.9947 0.9934 379
427
- ADJ_SUP 0.9926 0.9889 0.9907 270
428
- ADJ_CMPR 0.9397 0.9689 0.9541 193
429
- ADJ_INO 0.8312 0.7619 0.7950 168
430
- ADV_NEG 0.9357 0.8792 0.9066 149
431
- ADV_I 0.8740 0.7929 0.8315 140
432
- FW 0.6500 0.6341 0.6420 123
433
- ADV_COMP 0.8043 0.9737 0.8810 76
434
- ADV_LOC 0.9726 0.9726 0.9726 73
435
- V_IMP 0.7091 0.6964 0.7027 56
436
- PREV 0.7742 0.7500 0.7619 32
437
- INT 0.7778 0.5833 0.6667 24
438
  N_VOC 0.0000 0.0000 0.0000 0
439
 
440
- micro avg 0.9702 0.9702 0.9702 86635
441
- macro avg 0.8864 0.8796 0.8820 86635
442
- weighted avg 0.9704 0.9702 0.9702 86635
443
- samples avg 0.9702 0.9702 0.9702 86635
444
 
445
- 2022-08-06 18:01:16,200 ----------------------------------------------------------------------------------------------------
 
1
+ 2022-08-07 02:05:29,506 ----------------------------------------------------------------------------------------------------
2
+ 2022-08-07 02:05:29,507 Model: "SequenceTagger(
3
  (embeddings): StackedEmbeddings(
4
+ (list_embedding_0): WordEmbeddings(
5
+ 'fa'
6
+ (embedding): Embedding(56850, 300)
7
+ )
8
  (list_embedding_1): FlairEmbeddings(
9
  (lm): LanguageModel(
10
  (drop): Dropout(p=0.1, inplace=False)
 
25
  (word_dropout): WordDropout(p=0.05)
26
  (locked_dropout): LockedDropout(p=0.5)
27
  (rnn): LSTM(4396, 512, batch_first=True, bidirectional=True)
28
+ (linear): Linear(in_features=1024, out_features=31, bias=True)
29
+ (loss_function): CrossEntropyLoss()
 
 
30
  )"
31
+ 2022-08-07 02:05:29,507 ----------------------------------------------------------------------------------------------------
32
+ 2022-08-07 02:05:29,507 Corpus: "Corpus: 24000 train + 3000 dev + 3000 test sentences"
33
+ 2022-08-07 02:05:29,507 ----------------------------------------------------------------------------------------------------
34
+ 2022-08-07 02:05:29,507 Parameters:
35
+ 2022-08-07 02:05:29,507 - learning_rate: "0.100000"
36
+ 2022-08-07 02:05:29,507 - mini_batch_size: "8"
37
+ 2022-08-07 02:05:29,507 - patience: "3"
38
+ 2022-08-07 02:05:29,507 - anneal_factor: "0.5"
39
+ 2022-08-07 02:05:29,507 - max_epochs: "25"
40
+ 2022-08-07 02:05:29,507 - shuffle: "True"
41
+ 2022-08-07 02:05:29,508 - train_with_dev: "True"
42
+ 2022-08-07 02:05:29,508 - batch_growth_annealing: "False"
43
+ 2022-08-07 02:05:29,508 ----------------------------------------------------------------------------------------------------
44
+ 2022-08-07 02:05:29,508 Model training base path: "data/pos-Uppsala/model2"
45
+ 2022-08-07 02:05:29,508 ----------------------------------------------------------------------------------------------------
46
+ 2022-08-07 02:05:29,508 Device: cuda:0
47
+ 2022-08-07 02:05:29,508 ----------------------------------------------------------------------------------------------------
48
+ 2022-08-07 02:05:29,508 Embeddings storage mode: cpu
49
+ 2022-08-07 02:05:29,508 ----------------------------------------------------------------------------------------------------
50
+ 2022-08-07 02:05:55,999 epoch 1 - iter 337/3375 - loss 0.75739218 - samples/sec: 101.85 - lr: 0.100000
51
+ 2022-08-07 02:06:37,080 epoch 1 - iter 674/3375 - loss 0.54143209 - samples/sec: 65.66 - lr: 0.100000
52
+ 2022-08-07 02:07:09,607 epoch 1 - iter 1011/3375 - loss 0.46568471 - samples/sec: 82.95 - lr: 0.100000
53
+ 2022-08-07 02:07:45,920 epoch 1 - iter 1348/3375 - loss 0.41181559 - samples/sec: 74.30 - lr: 0.100000
54
+ 2022-08-07 02:08:21,278 epoch 1 - iter 1685/3375 - loss 0.37828799 - samples/sec: 76.30 - lr: 0.100000
55
+ 2022-08-07 02:08:54,851 epoch 1 - iter 2022/3375 - loss 0.35283483 - samples/sec: 80.36 - lr: 0.100000
56
+ 2022-08-07 02:09:32,124 epoch 1 - iter 2359/3375 - loss 0.33395991 - samples/sec: 72.38 - lr: 0.100000
57
+ 2022-08-07 02:10:05,700 epoch 1 - iter 2696/3375 - loss 0.32651650 - samples/sec: 80.35 - lr: 0.100000
58
+ 2022-08-07 02:10:40,669 epoch 1 - iter 3033/3375 - loss 0.31224939 - samples/sec: 77.15 - lr: 0.100000
59
+ 2022-08-07 02:11:16,615 epoch 1 - iter 3370/3375 - loss 0.29974125 - samples/sec: 75.05 - lr: 0.100000
60
+ 2022-08-07 02:11:17,267 ----------------------------------------------------------------------------------------------------
61
+ 2022-08-07 02:11:17,267 EPOCH 1 done: loss 0.2994 - lr 0.100000
62
+ 2022-08-07 02:11:17,267 BAD EPOCHS (no improvement): 0
63
+ 2022-08-07 02:11:17,267 ----------------------------------------------------------------------------------------------------
64
+ 2022-08-07 02:11:28,327 epoch 2 - iter 337/3375 - loss 0.21007321 - samples/sec: 244.45 - lr: 0.100000
65
+ 2022-08-07 02:11:39,198 epoch 2 - iter 674/3375 - loss 0.20500491 - samples/sec: 248.66 - lr: 0.100000
66
+ 2022-08-07 02:11:50,425 epoch 2 - iter 1011/3375 - loss 0.20492344 - samples/sec: 240.79 - lr: 0.100000
67
+ 2022-08-07 02:12:01,420 epoch 2 - iter 1348/3375 - loss 0.20363866 - samples/sec: 245.85 - lr: 0.100000
68
+ 2022-08-07 02:12:12,667 epoch 2 - iter 1685/3375 - loss 0.20392884 - samples/sec: 240.35 - lr: 0.100000
69
+ 2022-08-07 02:12:23,586 epoch 2 - iter 2022/3375 - loss 0.20044378 - samples/sec: 247.55 - lr: 0.100000
70
+ 2022-08-07 02:12:34,574 epoch 2 - iter 2359/3375 - loss 0.19761727 - samples/sec: 246.01 - lr: 0.100000
71
+ 2022-08-07 02:12:45,723 epoch 2 - iter 2696/3375 - loss 0.19607425 - samples/sec: 242.47 - lr: 0.100000
72
+ 2022-08-07 02:12:56,882 epoch 2 - iter 3033/3375 - loss 0.19437688 - samples/sec: 242.22 - lr: 0.100000
73
+ 2022-08-07 02:13:07,970 epoch 2 - iter 3370/3375 - loss 0.19287658 - samples/sec: 243.74 - lr: 0.100000
74
+ 2022-08-07 02:13:08,125 ----------------------------------------------------------------------------------------------------
75
+ 2022-08-07 02:13:08,125 EPOCH 2 done: loss 0.1928 - lr 0.100000
76
+ 2022-08-07 02:13:08,125 BAD EPOCHS (no improvement): 0
77
+ 2022-08-07 02:13:08,125 ----------------------------------------------------------------------------------------------------
78
+ 2022-08-07 02:13:18,732 epoch 3 - iter 337/3375 - loss 0.16840639 - samples/sec: 254.79 - lr: 0.100000
79
+ 2022-08-07 02:13:29,949 epoch 3 - iter 674/3375 - loss 0.17134103 - samples/sec: 240.99 - lr: 0.100000
80
+ 2022-08-07 02:13:41,422 epoch 3 - iter 1011/3375 - loss 0.17177587 - samples/sec: 235.63 - lr: 0.100000
81
+ 2022-08-07 02:13:52,505 epoch 3 - iter 1348/3375 - loss 0.17139864 - samples/sec: 243.87 - lr: 0.100000
82
+ 2022-08-07 02:14:03,658 epoch 3 - iter 1685/3375 - loss 0.16962796 - samples/sec: 242.33 - lr: 0.100000
83
+ 2022-08-07 02:14:14,742 epoch 3 - iter 2022/3375 - loss 0.16969660 - samples/sec: 243.85 - lr: 0.100000
84
+ 2022-08-07 02:14:26,081 epoch 3 - iter 2359/3375 - loss 0.16840264 - samples/sec: 238.43 - lr: 0.100000
85
+ 2022-08-07 02:14:37,186 epoch 3 - iter 2696/3375 - loss 0.16736992 - samples/sec: 243.39 - lr: 0.100000
86
+ 2022-08-07 02:14:48,028 epoch 3 - iter 3033/3375 - loss 0.16650554 - samples/sec: 249.32 - lr: 0.100000
87
+ 2022-08-07 02:14:58,860 epoch 3 - iter 3370/3375 - loss 0.16548808 - samples/sec: 249.55 - lr: 0.100000
88
+ 2022-08-07 02:14:59,028 ----------------------------------------------------------------------------------------------------
89
+ 2022-08-07 02:14:59,028 EPOCH 3 done: loss 0.1655 - lr 0.100000
90
+ 2022-08-07 02:14:59,028 BAD EPOCHS (no improvement): 0
91
+ 2022-08-07 02:14:59,029 ----------------------------------------------------------------------------------------------------
92
+ 2022-08-07 02:15:10,190 epoch 4 - iter 337/3375 - loss 0.16471399 - samples/sec: 242.21 - lr: 0.100000
93
+ 2022-08-07 02:15:21,371 epoch 4 - iter 674/3375 - loss 0.16008298 - samples/sec: 241.76 - lr: 0.100000
94
+ 2022-08-07 02:15:32,514 epoch 4 - iter 1011/3375 - loss 0.15720752 - samples/sec: 242.57 - lr: 0.100000
95
+ 2022-08-07 02:15:43,108 epoch 4 - iter 1348/3375 - loss 0.15610167 - samples/sec: 255.09 - lr: 0.100000
96
+ 2022-08-07 02:15:53,702 epoch 4 - iter 1685/3375 - loss 0.15385958 - samples/sec: 255.15 - lr: 0.100000
97
+ 2022-08-07 02:16:04,903 epoch 4 - iter 2022/3375 - loss 0.15358797 - samples/sec: 241.33 - lr: 0.100000
98
+ 2022-08-07 02:16:16,037 epoch 4 - iter 2359/3375 - loss 0.15218143 - samples/sec: 242.77 - lr: 0.100000
99
+ 2022-08-07 02:16:26,713 epoch 4 - iter 2696/3375 - loss 0.15094360 - samples/sec: 253.18 - lr: 0.100000
100
+ 2022-08-07 02:16:37,442 epoch 4 - iter 3033/3375 - loss 0.15045144 - samples/sec: 251.90 - lr: 0.100000
101
+ 2022-08-07 02:16:48,787 epoch 4 - iter 3370/3375 - loss 0.14985109 - samples/sec: 238.27 - lr: 0.100000
102
+ 2022-08-07 02:16:48,934 ----------------------------------------------------------------------------------------------------
103
+ 2022-08-07 02:16:48,934 EPOCH 4 done: loss 0.1499 - lr 0.100000
104
+ 2022-08-07 02:16:48,934 BAD EPOCHS (no improvement): 0
105
+ 2022-08-07 02:16:48,935 ----------------------------------------------------------------------------------------------------
106
+ 2022-08-07 02:16:59,994 epoch 5 - iter 337/3375 - loss 0.13777412 - samples/sec: 244.45 - lr: 0.100000
107
+ 2022-08-07 02:17:11,035 epoch 5 - iter 674/3375 - loss 0.14094211 - samples/sec: 244.80 - lr: 0.100000
108
+ 2022-08-07 02:17:21,594 epoch 5 - iter 1011/3375 - loss 0.14015121 - samples/sec: 255.97 - lr: 0.100000
109
+ 2022-08-07 02:17:32,943 epoch 5 - iter 1348/3375 - loss 0.14302843 - samples/sec: 238.17 - lr: 0.100000
110
+ 2022-08-07 02:17:44,086 epoch 5 - iter 1685/3375 - loss 0.14201900 - samples/sec: 242.58 - lr: 0.100000
111
+ 2022-08-07 02:17:55,115 epoch 5 - iter 2022/3375 - loss 0.14188630 - samples/sec: 245.10 - lr: 0.100000
112
+ 2022-08-07 02:18:06,000 epoch 5 - iter 2359/3375 - loss 0.14062047 - samples/sec: 248.40 - lr: 0.100000
113
+ 2022-08-07 02:18:17,153 epoch 5 - iter 2696/3375 - loss 0.14139705 - samples/sec: 242.40 - lr: 0.100000
114
+ 2022-08-07 02:18:28,428 epoch 5 - iter 3033/3375 - loss 0.14102027 - samples/sec: 239.77 - lr: 0.100000
115
+ 2022-08-07 02:18:39,576 epoch 5 - iter 3370/3375 - loss 0.14054028 - samples/sec: 242.49 - lr: 0.100000
116
+ 2022-08-07 02:18:39,730 ----------------------------------------------------------------------------------------------------
117
+ 2022-08-07 02:18:39,730 EPOCH 5 done: loss 0.1406 - lr 0.100000
118
+ 2022-08-07 02:18:39,731 BAD EPOCHS (no improvement): 0
119
+ 2022-08-07 02:18:39,731 ----------------------------------------------------------------------------------------------------
120
+ 2022-08-07 02:18:50,258 epoch 6 - iter 337/3375 - loss 0.13602802 - samples/sec: 256.82 - lr: 0.100000
121
+ 2022-08-07 02:19:01,074 epoch 6 - iter 674/3375 - loss 0.13337600 - samples/sec: 249.87 - lr: 0.100000
122
+ 2022-08-07 02:19:11,917 epoch 6 - iter 1011/3375 - loss 0.13048398 - samples/sec: 249.28 - lr: 0.100000
123
+ 2022-08-07 02:19:23,313 epoch 6 - iter 1348/3375 - loss 0.12983568 - samples/sec: 237.22 - lr: 0.100000
124
+ 2022-08-07 02:19:34,736 epoch 6 - iter 1685/3375 - loss 0.13111942 - samples/sec: 236.69 - lr: 0.100000
125
+ 2022-08-07 02:19:45,806 epoch 6 - iter 2022/3375 - loss 0.13110468 - samples/sec: 244.19 - lr: 0.100000
126
+ 2022-08-07 02:19:57,573 epoch 6 - iter 2359/3375 - loss 0.13121469 - samples/sec: 229.74 - lr: 0.100000
127
+ 2022-08-07 02:20:08,293 epoch 6 - iter 2696/3375 - loss 0.13079228 - samples/sec: 252.22 - lr: 0.100000
128
+ 2022-08-07 02:20:19,667 epoch 6 - iter 3033/3375 - loss 0.13218291 - samples/sec: 237.66 - lr: 0.100000
129
+ 2022-08-07 02:20:30,717 epoch 6 - iter 3370/3375 - loss 0.13161722 - samples/sec: 244.63 - lr: 0.100000
130
+ 2022-08-07 02:20:30,883 ----------------------------------------------------------------------------------------------------
131
+ 2022-08-07 02:20:30,883 EPOCH 6 done: loss 0.1316 - lr 0.100000
132
+ 2022-08-07 02:20:30,884 BAD EPOCHS (no improvement): 0
133
+ 2022-08-07 02:20:30,884 ----------------------------------------------------------------------------------------------------
134
+ 2022-08-07 02:20:41,904 epoch 7 - iter 337/3375 - loss 0.12469525 - samples/sec: 245.31 - lr: 0.100000
135
+ 2022-08-07 02:20:53,093 epoch 7 - iter 674/3375 - loss 0.12698511 - samples/sec: 241.58 - lr: 0.100000
136
+ 2022-08-07 02:21:04,011 epoch 7 - iter 1011/3375 - loss 0.12657046 - samples/sec: 247.61 - lr: 0.100000
137
+ 2022-08-07 02:21:15,101 epoch 7 - iter 1348/3375 - loss 0.12672328 - samples/sec: 243.75 - lr: 0.100000
138
+ 2022-08-07 02:21:26,075 epoch 7 - iter 1685/3375 - loss 0.12594031 - samples/sec: 246.31 - lr: 0.100000
139
+ 2022-08-07 02:21:37,003 epoch 7 - iter 2022/3375 - loss 0.12642873 - samples/sec: 247.30 - lr: 0.100000
140
+ 2022-08-07 02:21:48,160 epoch 7 - iter 2359/3375 - loss 0.12583060 - samples/sec: 242.39 - lr: 0.100000
141
+ 2022-08-07 02:21:59,410 epoch 7 - iter 2696/3375 - loss 0.12552168 - samples/sec: 240.33 - lr: 0.100000
142
+ 2022-08-07 02:22:10,826 epoch 7 - iter 3033/3375 - loss 0.12531533 - samples/sec: 236.80 - lr: 0.100000
143
+ 2022-08-07 02:22:22,230 epoch 7 - iter 3370/3375 - loss 0.12554230 - samples/sec: 237.02 - lr: 0.100000
144
+ 2022-08-07 02:22:22,372 ----------------------------------------------------------------------------------------------------
145
+ 2022-08-07 02:22:22,372 EPOCH 7 done: loss 0.1255 - lr 0.100000
146
+ 2022-08-07 02:22:22,372 BAD EPOCHS (no improvement): 0
147
+ 2022-08-07 02:22:22,372 ----------------------------------------------------------------------------------------------------
148
+ 2022-08-07 02:22:33,973 epoch 8 - iter 337/3375 - loss 0.11902872 - samples/sec: 233.03 - lr: 0.100000
149
+ 2022-08-07 02:22:45,079 epoch 8 - iter 674/3375 - loss 0.11995484 - samples/sec: 243.37 - lr: 0.100000
150
+ 2022-08-07 02:22:56,079 epoch 8 - iter 1011/3375 - loss 0.12447185 - samples/sec: 245.73 - lr: 0.100000
151
+ 2022-08-07 02:23:07,005 epoch 8 - iter 1348/3375 - loss 0.12186016 - samples/sec: 247.36 - lr: 0.100000
152
+ 2022-08-07 02:23:18,142 epoch 8 - iter 1685/3375 - loss 0.12180914 - samples/sec: 242.72 - lr: 0.100000
153
+ 2022-08-07 02:23:28,937 epoch 8 - iter 2022/3375 - loss 0.12178735 - samples/sec: 250.35 - lr: 0.100000
154
+ 2022-08-07 02:23:39,666 epoch 8 - iter 2359/3375 - loss 0.12100308 - samples/sec: 251.94 - lr: 0.100000
155
+ 2022-08-07 02:23:50,288 epoch 8 - iter 2696/3375 - loss 0.12098102 - samples/sec: 254.43 - lr: 0.100000
156
+ 2022-08-07 02:24:01,466 epoch 8 - iter 3033/3375 - loss 0.12091111 - samples/sec: 241.86 - lr: 0.100000
157
+ 2022-08-07 02:24:12,938 epoch 8 - iter 3370/3375 - loss 0.12040225 - samples/sec: 235.63 - lr: 0.100000
158
+ 2022-08-07 02:24:13,123 ----------------------------------------------------------------------------------------------------
159
+ 2022-08-07 02:24:13,123 EPOCH 8 done: loss 0.1204 - lr 0.100000
160
+ 2022-08-07 02:24:13,123 BAD EPOCHS (no improvement): 0
161
+ 2022-08-07 02:24:13,124 ----------------------------------------------------------------------------------------------------
162
+ 2022-08-07 02:24:24,336 epoch 9 - iter 337/3375 - loss 0.11290030 - samples/sec: 241.17 - lr: 0.100000
163
+ 2022-08-07 02:24:35,714 epoch 9 - iter 674/3375 - loss 0.11346945 - samples/sec: 237.60 - lr: 0.100000
164
+ 2022-08-07 02:24:47,141 epoch 9 - iter 1011/3375 - loss 0.11401393 - samples/sec: 236.57 - lr: 0.100000
165
+ 2022-08-07 02:24:58,300 epoch 9 - iter 1348/3375 - loss 0.11366582 - samples/sec: 242.28 - lr: 0.100000
166
+ 2022-08-07 02:25:09,198 epoch 9 - iter 1685/3375 - loss 0.11338815 - samples/sec: 248.01 - lr: 0.100000
167
+ 2022-08-07 02:25:20,242 epoch 9 - iter 2022/3375 - loss 0.11280167 - samples/sec: 244.76 - lr: 0.100000
168
+ 2022-08-07 02:25:31,000 epoch 9 - iter 2359/3375 - loss 0.11258570 - samples/sec: 251.27 - lr: 0.100000
169
+ 2022-08-07 02:25:42,675 epoch 9 - iter 2696/3375 - loss 0.11476017 - samples/sec: 231.53 - lr: 0.100000
170
+ 2022-08-07 02:25:54,127 epoch 9 - iter 3033/3375 - loss 0.11505920 - samples/sec: 236.04 - lr: 0.100000
171
+ 2022-08-07 02:26:05,370 epoch 9 - iter 3370/3375 - loss 0.11528098 - samples/sec: 240.42 - lr: 0.100000
172
+ 2022-08-07 02:26:05,525 ----------------------------------------------------------------------------------------------------
173
+ 2022-08-07 02:26:05,525 EPOCH 9 done: loss 0.1153 - lr 0.100000
174
+ 2022-08-07 02:26:05,525 BAD EPOCHS (no improvement): 0
175
+ 2022-08-07 02:26:05,526 ----------------------------------------------------------------------------------------------------
176
+ 2022-08-07 02:26:16,488 epoch 10 - iter 337/3375 - loss 0.10947414 - samples/sec: 246.62 - lr: 0.100000
177
+ 2022-08-07 02:26:27,490 epoch 10 - iter 674/3375 - loss 0.11130776 - samples/sec: 245.64 - lr: 0.100000
178
+ 2022-08-07 02:26:38,267 epoch 10 - iter 1011/3375 - loss 0.10972401 - samples/sec: 250.80 - lr: 0.100000
179
+ 2022-08-07 02:26:49,354 epoch 10 - iter 1348/3375 - loss 0.10872413 - samples/sec: 243.79 - lr: 0.100000
180
+ 2022-08-07 02:27:00,642 epoch 10 - iter 1685/3375 - loss 0.10961811 - samples/sec: 239.51 - lr: 0.100000
181
+ 2022-08-07 02:27:11,930 epoch 10 - iter 2022/3375 - loss 0.11048220 - samples/sec: 239.46 - lr: 0.100000
182
+ 2022-08-07 02:27:23,290 epoch 10 - iter 2359/3375 - loss 0.11060959 - samples/sec: 237.93 - lr: 0.100000
183
+ 2022-08-07 02:27:34,821 epoch 10 - iter 2696/3375 - loss 0.11126846 - samples/sec: 234.45 - lr: 0.100000
184
+ 2022-08-07 02:27:45,925 epoch 10 - iter 3033/3375 - loss 0.11105431 - samples/sec: 243.40 - lr: 0.100000
185
+ 2022-08-07 02:27:57,172 epoch 10 - iter 3370/3375 - loss 0.11075921 - samples/sec: 240.37 - lr: 0.100000
186
+ 2022-08-07 02:27:57,325 ----------------------------------------------------------------------------------------------------
187
+ 2022-08-07 02:27:57,326 EPOCH 10 done: loss 0.1108 - lr 0.100000
188
+ 2022-08-07 02:27:57,326 BAD EPOCHS (no improvement): 0
189
+ 2022-08-07 02:27:57,326 ----------------------------------------------------------------------------------------------------
190
+ 2022-08-07 02:28:08,659 epoch 11 - iter 337/3375 - loss 0.11076857 - samples/sec: 238.59 - lr: 0.100000
191
+ 2022-08-07 02:28:19,669 epoch 11 - iter 674/3375 - loss 0.10651420 - samples/sec: 245.50 - lr: 0.100000
192
+ 2022-08-07 02:28:30,995 epoch 11 - iter 1011/3375 - loss 0.10568094 - samples/sec: 238.65 - lr: 0.100000
193
+ 2022-08-07 02:28:42,325 epoch 11 - iter 1348/3375 - loss 0.10905778 - samples/sec: 238.58 - lr: 0.100000
194
+ 2022-08-07 02:28:53,100 epoch 11 - iter 1685/3375 - loss 0.10889745 - samples/sec: 250.81 - lr: 0.100000
195
+ 2022-08-07 02:29:04,246 epoch 11 - iter 2022/3375 - loss 0.10882025 - samples/sec: 242.52 - lr: 0.100000
196
+ 2022-08-07 02:29:15,152 epoch 11 - iter 2359/3375 - loss 0.10841426 - samples/sec: 247.86 - lr: 0.100000
197
+ 2022-08-07 02:29:25,976 epoch 11 - iter 2696/3375 - loss 0.10880072 - samples/sec: 249.68 - lr: 0.100000
198
+ 2022-08-07 02:29:37,366 epoch 11 - iter 3033/3375 - loss 0.10817257 - samples/sec: 237.30 - lr: 0.100000
199
+ 2022-08-07 02:29:48,295 epoch 11 - iter 3370/3375 - loss 0.10790525 - samples/sec: 247.35 - lr: 0.100000
200
+ 2022-08-07 02:29:48,441 ----------------------------------------------------------------------------------------------------
201
+ 2022-08-07 02:29:48,441 EPOCH 11 done: loss 0.1079 - lr 0.100000
202
+ 2022-08-07 02:29:48,441 BAD EPOCHS (no improvement): 0
203
+ 2022-08-07 02:29:48,441 ----------------------------------------------------------------------------------------------------
204
+ 2022-08-07 02:29:59,308 epoch 12 - iter 337/3375 - loss 0.10369701 - samples/sec: 248.76 - lr: 0.100000
205
+ 2022-08-07 02:30:10,007 epoch 12 - iter 674/3375 - loss 0.10434462 - samples/sec: 252.65 - lr: 0.100000
206
+ 2022-08-07 02:30:21,057 epoch 12 - iter 1011/3375 - loss 0.10301943 - samples/sec: 244.62 - lr: 0.100000
207
+ 2022-08-07 02:30:31,884 epoch 12 - iter 1348/3375 - loss 0.10382269 - samples/sec: 249.63 - lr: 0.100000
208
+ 2022-08-07 02:30:42,874 epoch 12 - iter 1685/3375 - loss 0.10299628 - samples/sec: 245.95 - lr: 0.100000
209
+ 2022-08-07 02:30:53,851 epoch 12 - iter 2022/3375 - loss 0.10337040 - samples/sec: 246.26 - lr: 0.100000
210
+ 2022-08-07 02:31:05,148 epoch 12 - iter 2359/3375 - loss 0.10373705 - samples/sec: 239.29 - lr: 0.100000
211
+ 2022-08-07 02:31:16,303 epoch 12 - iter 2696/3375 - loss 0.10369999 - samples/sec: 242.29 - lr: 0.100000
212
+ 2022-08-07 02:31:27,420 epoch 12 - iter 3033/3375 - loss 0.10361166 - samples/sec: 243.12 - lr: 0.100000
213
+ 2022-08-07 02:31:37,704 epoch 12 - iter 3370/3375 - loss 0.10497405 - samples/sec: 262.83 - lr: 0.100000
214
+ 2022-08-07 02:31:37,879 ----------------------------------------------------------------------------------------------------
215
+ 2022-08-07 02:31:37,879 EPOCH 12 done: loss 0.1049 - lr 0.100000
216
+ 2022-08-07 02:31:37,879 BAD EPOCHS (no improvement): 0
217
+ 2022-08-07 02:31:37,879 ----------------------------------------------------------------------------------------------------
218
+ 2022-08-07 02:31:49,490 epoch 13 - iter 337/3375 - loss 0.09771881 - samples/sec: 232.85 - lr: 0.100000
219
+ 2022-08-07 02:32:00,601 epoch 13 - iter 674/3375 - loss 0.10062735 - samples/sec: 243.28 - lr: 0.100000
220
+ 2022-08-07 02:32:11,552 epoch 13 - iter 1011/3375 - loss 0.10145832 - samples/sec: 246.84 - lr: 0.100000
221
+ 2022-08-07 02:32:22,854 epoch 13 - iter 1348/3375 - loss 0.10164191 - samples/sec: 239.18 - lr: 0.100000
222
+ 2022-08-07 02:32:34,078 epoch 13 - iter 1685/3375 - loss 0.10188188 - samples/sec: 240.81 - lr: 0.100000
223
+ 2022-08-07 02:32:44,783 epoch 13 - iter 2022/3375 - loss 0.10230566 - samples/sec: 252.52 - lr: 0.100000
224
+ 2022-08-07 02:32:55,846 epoch 13 - iter 2359/3375 - loss 0.10241548 - samples/sec: 244.33 - lr: 0.100000
225
+ 2022-08-07 02:33:06,906 epoch 13 - iter 2696/3375 - loss 0.10240741 - samples/sec: 244.36 - lr: 0.100000
226
+ 2022-08-07 02:33:17,449 epoch 13 - iter 3033/3375 - loss 0.10221738 - samples/sec: 256.34 - lr: 0.100000
227
+ 2022-08-07 02:33:28,620 epoch 13 - iter 3370/3375 - loss 0.10209074 - samples/sec: 242.02 - lr: 0.100000
228
+ 2022-08-07 02:33:28,766 ----------------------------------------------------------------------------------------------------
229
+ 2022-08-07 02:33:28,766 EPOCH 13 done: loss 0.1021 - lr 0.100000
230
+ 2022-08-07 02:33:28,766 BAD EPOCHS (no improvement): 0
231
+ 2022-08-07 02:33:28,767 ----------------------------------------------------------------------------------------------------
232
+ 2022-08-07 02:33:39,870 epoch 14 - iter 337/3375 - loss 0.09796604 - samples/sec: 243.51 - lr: 0.100000
233
+ 2022-08-07 02:33:50,605 epoch 14 - iter 674/3375 - loss 0.09578931 - samples/sec: 251.77 - lr: 0.100000
234
+ 2022-08-07 02:34:01,922 epoch 14 - iter 1011/3375 - loss 0.10195230 - samples/sec: 238.83 - lr: 0.100000
235
+ 2022-08-07 02:34:13,388 epoch 14 - iter 1348/3375 - loss 0.10021155 - samples/sec: 235.77 - lr: 0.100000
236
+ 2022-08-07 02:34:24,657 epoch 14 - iter 1685/3375 - loss 0.10102509 - samples/sec: 239.86 - lr: 0.100000
237
+ 2022-08-07 02:34:35,142 epoch 14 - iter 2022/3375 - loss 0.10069196 - samples/sec: 257.74 - lr: 0.100000
238
+ 2022-08-07 02:34:51,364 epoch 14 - iter 2359/3375 - loss 0.10041362 - samples/sec: 166.48 - lr: 0.100000
239
+ 2022-08-07 02:35:02,495 epoch 14 - iter 2696/3375 - loss 0.10042230 - samples/sec: 242.85 - lr: 0.100000
240
+ 2022-08-07 02:35:13,930 epoch 14 - iter 3033/3375 - loss 0.10023253 - samples/sec: 236.38 - lr: 0.100000
241
+ 2022-08-07 02:35:25,051 epoch 14 - iter 3370/3375 - loss 0.09980998 - samples/sec: 243.05 - lr: 0.100000
242
+ 2022-08-07 02:35:25,195 ----------------------------------------------------------------------------------------------------
243
+ 2022-08-07 02:35:25,196 EPOCH 14 done: loss 0.0998 - lr 0.100000
244
+ 2022-08-07 02:35:25,196 BAD EPOCHS (no improvement): 0
245
+ 2022-08-07 02:35:25,196 ----------------------------------------------------------------------------------------------------
246
+ 2022-08-07 02:35:35,802 epoch 15 - iter 337/3375 - loss 0.09670690 - samples/sec: 254.85 - lr: 0.100000
247
+ 2022-08-07 02:35:46,996 epoch 15 - iter 674/3375 - loss 0.09431814 - samples/sec: 241.48 - lr: 0.100000
248
+ 2022-08-07 02:35:57,960 epoch 15 - iter 1011/3375 - loss 0.09377145 - samples/sec: 246.49 - lr: 0.100000
249
+ 2022-08-07 02:36:08,715 epoch 15 - iter 1348/3375 - loss 0.09622842 - samples/sec: 251.39 - lr: 0.100000
250
+ 2022-08-07 02:36:19,780 epoch 15 - iter 1685/3375 - loss 0.09767520 - samples/sec: 244.31 - lr: 0.100000
251
+ 2022-08-07 02:36:30,749 epoch 15 - iter 2022/3375 - loss 0.09692809 - samples/sec: 246.42 - lr: 0.100000
252
+ 2022-08-07 02:36:41,823 epoch 15 - iter 2359/3375 - loss 0.09696816 - samples/sec: 244.10 - lr: 0.100000
253
+ 2022-08-07 02:36:52,983 epoch 15 - iter 2696/3375 - loss 0.09684092 - samples/sec: 242.20 - lr: 0.100000
254
+ 2022-08-07 02:37:03,518 epoch 15 - iter 3033/3375 - loss 0.09721969 - samples/sec: 256.55 - lr: 0.100000
255
+ 2022-08-07 02:37:14,478 epoch 15 - iter 3370/3375 - loss 0.09766576 - samples/sec: 246.62 - lr: 0.100000
256
+ 2022-08-07 02:37:14,634 ----------------------------------------------------------------------------------------------------
257
+ 2022-08-07 02:37:14,635 EPOCH 15 done: loss 0.0976 - lr 0.100000
258
+ 2022-08-07 02:37:14,635 BAD EPOCHS (no improvement): 0
259
+ 2022-08-07 02:37:14,635 ----------------------------------------------------------------------------------------------------
260
+ 2022-08-07 02:37:25,907 epoch 16 - iter 337/3375 - loss 0.09192433 - samples/sec: 239.84 - lr: 0.100000
261
+ 2022-08-07 02:37:37,145 epoch 16 - iter 674/3375 - loss 0.09118151 - samples/sec: 240.51 - lr: 0.100000
262
+ 2022-08-07 02:37:47,961 epoch 16 - iter 1011/3375 - loss 0.09133619 - samples/sec: 249.92 - lr: 0.100000
263
+ 2022-08-07 02:37:59,246 epoch 16 - iter 1348/3375 - loss 0.09326501 - samples/sec: 239.52 - lr: 0.100000
264
+ 2022-08-07 02:38:10,240 epoch 16 - iter 1685/3375 - loss 0.09328072 - samples/sec: 245.86 - lr: 0.100000
265
+ 2022-08-07 02:38:21,330 epoch 16 - iter 2022/3375 - loss 0.09375121 - samples/sec: 243.74 - lr: 0.100000
266
+ 2022-08-07 02:38:32,486 epoch 16 - iter 2359/3375 - loss 0.09445046 - samples/sec: 242.34 - lr: 0.100000
267
+ 2022-08-07 02:38:43,896 epoch 16 - iter 2696/3375 - loss 0.09434421 - samples/sec: 236.94 - lr: 0.100000
268
+ 2022-08-07 02:38:54,862 epoch 16 - iter 3033/3375 - loss 0.09403046 - samples/sec: 246.48 - lr: 0.100000
269
+ 2022-08-07 02:39:06,183 epoch 16 - iter 3370/3375 - loss 0.09453781 - samples/sec: 238.83 - lr: 0.100000
270
+ 2022-08-07 02:39:06,368 ----------------------------------------------------------------------------------------------------
271
+ 2022-08-07 02:39:06,369 EPOCH 16 done: loss 0.0954 - lr 0.100000
272
+ 2022-08-07 02:39:06,369 BAD EPOCHS (no improvement): 0
273
+ 2022-08-07 02:39:06,370 ----------------------------------------------------------------------------------------------------
274
+ 2022-08-07 02:39:17,685 epoch 17 - iter 337/3375 - loss 0.09065832 - samples/sec: 238.97 - lr: 0.100000
275
+ 2022-08-07 02:39:28,532 epoch 17 - iter 674/3375 - loss 0.09074058 - samples/sec: 249.20 - lr: 0.100000
276
+ 2022-08-07 02:39:39,813 epoch 17 - iter 1011/3375 - loss 0.09076218 - samples/sec: 239.62 - lr: 0.100000
277
+ 2022-08-07 02:39:51,097 epoch 17 - iter 1348/3375 - loss 0.09114038 - samples/sec: 239.58 - lr: 0.100000
278
+ 2022-08-07 02:40:02,140 epoch 17 - iter 1685/3375 - loss 0.09364976 - samples/sec: 244.81 - lr: 0.100000
279
+ 2022-08-07 02:40:13,561 epoch 17 - iter 2022/3375 - loss 0.09295760 - samples/sec: 236.71 - lr: 0.100000
280
+ 2022-08-07 02:40:24,964 epoch 17 - iter 2359/3375 - loss 0.09259855 - samples/sec: 237.08 - lr: 0.100000
281
+ 2022-08-07 02:40:36,010 epoch 17 - iter 2696/3375 - loss 0.09252924 - samples/sec: 244.74 - lr: 0.100000
282
+ 2022-08-07 02:40:47,006 epoch 17 - iter 3033/3375 - loss 0.09270205 - samples/sec: 245.80 - lr: 0.100000
283
+ 2022-08-07 02:40:58,218 epoch 17 - iter 3370/3375 - loss 0.09268398 - samples/sec: 241.11 - lr: 0.100000
284
+ 2022-08-07 02:40:58,391 ----------------------------------------------------------------------------------------------------
285
+ 2022-08-07 02:40:58,391 EPOCH 17 done: loss 0.0927 - lr 0.100000
286
+ 2022-08-07 02:40:58,391 BAD EPOCHS (no improvement): 0
287
+ 2022-08-07 02:40:58,392 ----------------------------------------------------------------------------------------------------
288
+ 2022-08-07 02:41:09,599 epoch 18 - iter 337/3375 - loss 0.09055744 - samples/sec: 241.22 - lr: 0.100000
289
+ 2022-08-07 02:41:20,285 epoch 18 - iter 674/3375 - loss 0.08777919 - samples/sec: 252.94 - lr: 0.100000
290
+ 2022-08-07 02:41:31,419 epoch 18 - iter 1011/3375 - loss 0.08653121 - samples/sec: 242.79 - lr: 0.100000
291
+ 2022-08-07 02:41:42,739 epoch 18 - iter 1348/3375 - loss 0.08740157 - samples/sec: 238.86 - lr: 0.100000
292
+ 2022-08-07 02:41:53,953 epoch 18 - iter 1685/3375 - loss 0.08793633 - samples/sec: 241.06 - lr: 0.100000
293
+ 2022-08-07 02:42:04,883 epoch 18 - iter 2022/3375 - loss 0.08754013 - samples/sec: 247.32 - lr: 0.100000
294
+ 2022-08-07 02:42:16,283 epoch 18 - iter 2359/3375 - loss 0.08808403 - samples/sec: 237.14 - lr: 0.100000
295
+ 2022-08-07 02:42:27,434 epoch 18 - iter 2696/3375 - loss 0.08880355 - samples/sec: 242.41 - lr: 0.100000
296
+ 2022-08-07 02:42:38,785 epoch 18 - iter 3033/3375 - loss 0.08953809 - samples/sec: 238.13 - lr: 0.100000
297
+ 2022-08-07 02:42:50,287 epoch 18 - iter 3370/3375 - loss 0.08999968 - samples/sec: 235.01 - lr: 0.100000
298
+ 2022-08-07 02:42:50,435 ----------------------------------------------------------------------------------------------------
299
+ 2022-08-07 02:42:50,435 EPOCH 18 done: loss 0.0900 - lr 0.100000
300
+ 2022-08-07 02:42:50,435 BAD EPOCHS (no improvement): 0
301
+ 2022-08-07 02:42:50,436 ----------------------------------------------------------------------------------------------------
302
+ 2022-08-07 02:43:01,650 epoch 19 - iter 337/3375 - loss 0.08691442 - samples/sec: 241.09 - lr: 0.100000
303
+ 2022-08-07 02:43:12,726 epoch 19 - iter 674/3375 - loss 0.08776779 - samples/sec: 244.04 - lr: 0.100000
304
+ 2022-08-07 02:43:23,627 epoch 19 - iter 1011/3375 - loss 0.08694620 - samples/sec: 247.98 - lr: 0.100000
305
+ 2022-08-07 02:43:34,831 epoch 19 - iter 1348/3375 - loss 0.08641312 - samples/sec: 241.26 - lr: 0.100000
306
+ 2022-08-07 02:43:46,256 epoch 19 - iter 1685/3375 - loss 0.08834346 - samples/sec: 236.64 - lr: 0.100000
307
+ 2022-08-07 02:43:57,309 epoch 19 - iter 2022/3375 - loss 0.08773463 - samples/sec: 244.61 - lr: 0.100000
308
+ 2022-08-07 02:44:08,660 epoch 19 - iter 2359/3375 - loss 0.08783827 - samples/sec: 238.15 - lr: 0.100000
309
+ 2022-08-07 02:44:19,311 epoch 19 - iter 2696/3375 - loss 0.08811852 - samples/sec: 253.71 - lr: 0.100000
310
+ 2022-08-07 02:44:30,362 epoch 19 - iter 3033/3375 - loss 0.08824350 - samples/sec: 244.57 - lr: 0.100000
311
+ 2022-08-07 02:44:41,601 epoch 19 - iter 3370/3375 - loss 0.08849871 - samples/sec: 240.51 - lr: 0.100000
312
+ 2022-08-07 02:44:41,783 ----------------------------------------------------------------------------------------------------
313
+ 2022-08-07 02:44:41,783 EPOCH 19 done: loss 0.0885 - lr 0.100000
314
+ 2022-08-07 02:44:41,783 BAD EPOCHS (no improvement): 0
315
+ 2022-08-07 02:44:41,783 ----------------------------------------------------------------------------------------------------
316
+ 2022-08-07 02:44:52,525 epoch 20 - iter 337/3375 - loss 0.09322885 - samples/sec: 251.66 - lr: 0.100000
317
+ 2022-08-07 02:45:03,893 epoch 20 - iter 674/3375 - loss 0.08928904 - samples/sec: 237.84 - lr: 0.100000
318
+ 2022-08-07 02:45:15,191 epoch 20 - iter 1011/3375 - loss 0.08975760 - samples/sec: 239.28 - lr: 0.100000
319
+ 2022-08-07 02:45:26,425 epoch 20 - iter 1348/3375 - loss 0.08790189 - samples/sec: 240.63 - lr: 0.100000
320
+ 2022-08-07 02:45:36,609 epoch 20 - iter 1685/3375 - loss 0.08815741 - samples/sec: 265.45 - lr: 0.100000
321
+ 2022-08-07 02:45:47,682 epoch 20 - iter 2022/3375 - loss 0.08809693 - samples/sec: 244.16 - lr: 0.100000
322
+ 2022-08-07 02:45:58,875 epoch 20 - iter 2359/3375 - loss 0.08818872 - samples/sec: 241.50 - lr: 0.100000
323
+ 2022-08-07 02:46:10,105 epoch 20 - iter 2696/3375 - loss 0.08873562 - samples/sec: 240.71 - lr: 0.100000
324
+ 2022-08-07 02:46:20,950 epoch 20 - iter 3033/3375 - loss 0.08879496 - samples/sec: 249.22 - lr: 0.100000
325
+ 2022-08-07 02:46:32,158 epoch 20 - iter 3370/3375 - loss 0.08832716 - samples/sec: 241.18 - lr: 0.100000
326
+ 2022-08-07 02:46:32,335 ----------------------------------------------------------------------------------------------------
327
+ 2022-08-07 02:46:32,335 EPOCH 20 done: loss 0.0883 - lr 0.100000
328
+ 2022-08-07 02:46:32,335 BAD EPOCHS (no improvement): 0
329
+ 2022-08-07 02:46:32,335 ----------------------------------------------------------------------------------------------------
330
+ 2022-08-07 02:46:43,375 epoch 21 - iter 337/3375 - loss 0.09213887 - samples/sec: 244.86 - lr: 0.100000
331
+ 2022-08-07 02:46:54,478 epoch 21 - iter 674/3375 - loss 0.08900913 - samples/sec: 243.46 - lr: 0.100000
332
+ 2022-08-07 02:47:05,301 epoch 21 - iter 1011/3375 - loss 0.08754593 - samples/sec: 249.76 - lr: 0.100000
333
+ 2022-08-07 02:47:15,433 epoch 21 - iter 1348/3375 - loss 0.08629554 - samples/sec: 266.73 - lr: 0.100000
334
+ 2022-08-07 02:47:26,262 epoch 21 - iter 1685/3375 - loss 0.08524342 - samples/sec: 249.61 - lr: 0.100000
335
+ 2022-08-07 02:47:37,339 epoch 21 - iter 2022/3375 - loss 0.08503406 - samples/sec: 244.03 - lr: 0.100000
336
+ 2022-08-07 02:47:48,120 epoch 21 - iter 2359/3375 - loss 0.08520712 - samples/sec: 250.70 - lr: 0.100000
337
+ 2022-08-07 02:47:59,174 epoch 21 - iter 2696/3375 - loss 0.08494666 - samples/sec: 244.53 - lr: 0.100000
338
+ 2022-08-07 02:48:09,988 epoch 21 - iter 3033/3375 - loss 0.08480265 - samples/sec: 249.92 - lr: 0.100000
339
+ 2022-08-07 02:48:21,077 epoch 21 - iter 3370/3375 - loss 0.08495562 - samples/sec: 243.77 - lr: 0.100000
340
+ 2022-08-07 02:48:21,260 ----------------------------------------------------------------------------------------------------
341
+ 2022-08-07 02:48:21,260 EPOCH 21 done: loss 0.0849 - lr 0.100000
342
+ 2022-08-07 02:48:21,260 BAD EPOCHS (no improvement): 0
343
+ 2022-08-07 02:48:21,261 ----------------------------------------------------------------------------------------------------
344
+ 2022-08-07 02:48:32,111 epoch 22 - iter 337/3375 - loss 0.08295893 - samples/sec: 249.16 - lr: 0.100000
345
+ 2022-08-07 02:48:43,332 epoch 22 - iter 674/3375 - loss 0.08481991 - samples/sec: 240.82 - lr: 0.100000
346
+ 2022-08-07 02:48:54,762 epoch 22 - iter 1011/3375 - loss 0.08570495 - samples/sec: 236.51 - lr: 0.100000
347
+ 2022-08-07 02:49:05,835 epoch 22 - iter 1348/3375 - loss 0.08393526 - samples/sec: 244.10 - lr: 0.100000
348
+ 2022-08-07 02:49:15,803 epoch 22 - iter 1685/3375 - loss 0.08354373 - samples/sec: 271.08 - lr: 0.100000
349
+ 2022-08-07 02:49:26,536 epoch 22 - iter 2022/3375 - loss 0.08345868 - samples/sec: 251.91 - lr: 0.100000
350
+ 2022-08-07 02:49:38,171 epoch 22 - iter 2359/3375 - loss 0.08348163 - samples/sec: 232.34 - lr: 0.100000
351
+ 2022-08-07 02:49:49,576 epoch 22 - iter 2696/3375 - loss 0.08383154 - samples/sec: 237.03 - lr: 0.100000
352
+ 2022-08-07 02:50:00,569 epoch 22 - iter 3033/3375 - loss 0.08343660 - samples/sec: 245.95 - lr: 0.100000
353
+ 2022-08-07 02:50:11,702 epoch 22 - iter 3370/3375 - loss 0.08352162 - samples/sec: 242.80 - lr: 0.100000
354
+ 2022-08-07 02:50:11,847 ----------------------------------------------------------------------------------------------------
355
+ 2022-08-07 02:50:11,847 EPOCH 22 done: loss 0.0835 - lr 0.100000
356
+ 2022-08-07 02:50:11,847 BAD EPOCHS (no improvement): 0
357
+ 2022-08-07 02:50:11,847 ----------------------------------------------------------------------------------------------------
358
+ 2022-08-07 02:50:22,990 epoch 23 - iter 337/3375 - loss 0.07887801 - samples/sec: 242.63 - lr: 0.100000
359
+ 2022-08-07 02:50:34,284 epoch 23 - iter 674/3375 - loss 0.08322045 - samples/sec: 239.33 - lr: 0.100000
360
+ 2022-08-07 02:50:45,593 epoch 23 - iter 1011/3375 - loss 0.08177573 - samples/sec: 239.05 - lr: 0.100000
361
+ 2022-08-07 02:50:56,652 epoch 23 - iter 1348/3375 - loss 0.08159359 - samples/sec: 244.44 - lr: 0.100000
362
+ 2022-08-07 02:51:07,155 epoch 23 - iter 1685/3375 - loss 0.08185351 - samples/sec: 257.37 - lr: 0.100000
363
+ 2022-08-07 02:51:18,142 epoch 23 - iter 2022/3375 - loss 0.08216048 - samples/sec: 246.03 - lr: 0.100000
364
+ 2022-08-07 02:51:28,880 epoch 23 - iter 2359/3375 - loss 0.08232311 - samples/sec: 251.72 - lr: 0.100000
365
+ 2022-08-07 02:51:40,057 epoch 23 - iter 2696/3375 - loss 0.08129492 - samples/sec: 241.84 - lr: 0.100000
366
+ 2022-08-07 02:51:50,922 epoch 23 - iter 3033/3375 - loss 0.08169562 - samples/sec: 248.76 - lr: 0.100000
367
+ 2022-08-07 02:52:02,160 epoch 23 - iter 3370/3375 - loss 0.08205725 - samples/sec: 240.50 - lr: 0.100000
368
+ 2022-08-07 02:52:02,323 ----------------------------------------------------------------------------------------------------
369
+ 2022-08-07 02:52:02,323 EPOCH 23 done: loss 0.0820 - lr 0.100000
370
+ 2022-08-07 02:52:02,324 BAD EPOCHS (no improvement): 0
371
+ 2022-08-07 02:52:02,324 ----------------------------------------------------------------------------------------------------
372
+ 2022-08-07 02:52:13,284 epoch 24 - iter 337/3375 - loss 0.07347428 - samples/sec: 246.66 - lr: 0.100000
373
+ 2022-08-07 02:52:24,344 epoch 24 - iter 674/3375 - loss 0.07465337 - samples/sec: 244.38 - lr: 0.100000
374
+ 2022-08-07 02:52:35,586 epoch 24 - iter 1011/3375 - loss 0.07715712 - samples/sec: 240.49 - lr: 0.100000
375
+ 2022-08-07 02:52:46,455 epoch 24 - iter 1348/3375 - loss 0.07792351 - samples/sec: 248.67 - lr: 0.100000
376
+ 2022-08-07 02:52:57,159 epoch 24 - iter 1685/3375 - loss 0.07863379 - samples/sec: 252.50 - lr: 0.100000
377
+ 2022-08-07 02:53:08,499 epoch 24 - iter 2022/3375 - loss 0.07926591 - samples/sec: 238.36 - lr: 0.100000
378
+ 2022-08-07 02:53:18,679 epoch 24 - iter 2359/3375 - loss 0.07936523 - samples/sec: 265.47 - lr: 0.100000
379
+ 2022-08-07 02:53:29,858 epoch 24 - iter 2696/3375 - loss 0.08120908 - samples/sec: 241.78 - lr: 0.100000
380
+ 2022-08-07 02:53:41,047 epoch 24 - iter 3033/3375 - loss 0.08128250 - samples/sec: 241.61 - lr: 0.100000
381
+ 2022-08-07 02:53:52,019 epoch 24 - iter 3370/3375 - loss 0.08094103 - samples/sec: 246.36 - lr: 0.100000
382
+ 2022-08-07 02:53:52,158 ----------------------------------------------------------------------------------------------------
383
+ 2022-08-07 02:53:52,159 EPOCH 24 done: loss 0.0810 - lr 0.100000
384
+ 2022-08-07 02:53:52,159 BAD EPOCHS (no improvement): 0
385
+ 2022-08-07 02:53:52,159 ----------------------------------------------------------------------------------------------------
386
+ 2022-08-07 02:54:03,354 epoch 25 - iter 337/3375 - loss 0.08139893 - samples/sec: 241.47 - lr: 0.100000
387
+ 2022-08-07 02:54:14,091 epoch 25 - iter 674/3375 - loss 0.07911841 - samples/sec: 251.69 - lr: 0.100000
388
+ 2022-08-07 02:54:24,835 epoch 25 - iter 1011/3375 - loss 0.07860869 - samples/sec: 251.59 - lr: 0.100000
389
+ 2022-08-07 02:54:35,909 epoch 25 - iter 1348/3375 - loss 0.07879774 - samples/sec: 244.08 - lr: 0.100000
390
+ 2022-08-07 02:54:47,101 epoch 25 - iter 1685/3375 - loss 0.07789856 - samples/sec: 241.55 - lr: 0.100000
391
+ 2022-08-07 02:54:58,083 epoch 25 - iter 2022/3375 - loss 0.07839394 - samples/sec: 246.13 - lr: 0.100000
392
+ 2022-08-07 02:55:09,311 epoch 25 - iter 2359/3375 - loss 0.07843746 - samples/sec: 240.78 - lr: 0.100000
393
+ 2022-08-07 02:55:20,397 epoch 25 - iter 2696/3375 - loss 0.07817246 - samples/sec: 243.82 - lr: 0.100000
394
+ 2022-08-07 02:55:31,407 epoch 25 - iter 3033/3375 - loss 0.07825394 - samples/sec: 245.49 - lr: 0.100000
395
+ 2022-08-07 02:55:42,519 epoch 25 - iter 3370/3375 - loss 0.07815000 - samples/sec: 243.29 - lr: 0.100000
396
+ 2022-08-07 02:55:42,715 ----------------------------------------------------------------------------------------------------
397
+ 2022-08-07 02:55:42,715 EPOCH 25 done: loss 0.0782 - lr 0.100000
398
+ 2022-08-07 02:55:42,715 BAD EPOCHS (no improvement): 0
399
+ 2022-08-07 02:55:43,803 ----------------------------------------------------------------------------------------------------
400
+ 2022-08-07 02:55:43,803 Testing using last state of model ...
401
+ 2022-08-07 02:56:08,461 Evaluating as a multi-label problem: False
402
+ 2022-08-07 02:56:09,046 0.9703 0.9703 0.9703 0.9703
403
+ 2022-08-07 02:56:09,046
404
  Results:
405
+ - F-score (micro) 0.9703
406
+ - F-score (macro) 0.8814
407
+ - Accuracy 0.9703
408
 
409
  By class:
410
  precision recall f1-score support
411
 
412
+ N_SING 0.9787 0.9602 0.9694 30553
413
+ P 0.9567 0.9945 0.9752 9951
414
+ DELM 0.9983 0.9996 0.9990 8122
415
+ ADJ 0.9061 0.9466 0.9259 7466
416
+ CON 0.9902 0.9809 0.9856 6823
417
+ N_PL 0.9826 0.9731 0.9778 5163
418
+ V_PA 0.9792 0.9819 0.9805 2873
419
+ V_PRS 0.9937 0.9916 0.9926 2841
420
+ NUM 0.9915 0.9982 0.9949 2232
421
+ PRO 0.9694 0.9531 0.9611 2258
422
+ DET 0.9583 0.9665 0.9624 1853
423
  CLITIC 1.0000 1.0000 1.0000 1259
424
+ V_PP 0.9726 0.9827 0.9777 1158
425
+ V_SUB 0.9871 0.9651 0.9760 1031
426
+ ADV 0.8562 0.8659 0.8610 880
427
+ ADV_TIME 0.9171 0.9734 0.9444 489
428
  V_AUX 0.9921 0.9947 0.9934 379
429
+ ADJ_SUP 0.9925 0.9852 0.9888 270
430
+ ADJ_CMPR 0.9444 0.9689 0.9565 193
431
+ ADJ_INO 0.8531 0.7262 0.7846 168
432
+ ADV_NEG 0.9270 0.8523 0.8881 149
433
+ ADV_I 0.8976 0.8143 0.8539 140
434
+ FW 0.8000 0.6179 0.6972 123
435
+ ADV_COMP 0.8202 0.9605 0.8848 76
436
+ ADV_LOC 0.9863 0.9863 0.9863 73
437
+ V_IMP 0.7407 0.7143 0.7273 56
438
+ PREV 0.8065 0.7812 0.7937 32
439
+ INT 0.6111 0.4583 0.5238 24
440
  N_VOC 0.0000 0.0000 0.0000 0
441
 
442
+ accuracy 0.9703 86635
443
+ macro avg 0.8900 0.8756 0.8814 86635
444
+ weighted avg 0.9707 0.9703 0.9703 86635
 
445
 
446
+ 2022-08-07 02:56:09,046 ----------------------------------------------------------------------------------------------------