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sequence-tagger-model
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flair-ner-shipping-labels
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2024-03-28 08:17:18,717 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:18,722 Model: "SequenceTagger(
  (embeddings): StackedEmbeddings(
    (list_embedding_0): WordEmbeddings(
      'glove'
      (embedding): Embedding(400001, 100)
    )
    (list_embedding_1): FlairEmbeddings(
      (lm): LanguageModel(
        (drop): Dropout(p=0.05, inplace=False)
        (encoder): Embedding(300, 100)
        (rnn): LSTM(100, 2048)
      )
    )
    (list_embedding_2): FlairEmbeddings(
      (lm): LanguageModel(
        (drop): Dropout(p=0.05, inplace=False)
        (encoder): Embedding(300, 100)
        (rnn): LSTM(100, 2048)
      )
    )
  )
  (word_dropout): WordDropout(p=0.05)
  (locked_dropout): LockedDropout(p=0.5)
  (embedding2nn): Linear(in_features=4196, out_features=4196, bias=True)
  (rnn): LSTM(4196, 256, batch_first=True, bidirectional=True)
  (linear): Linear(in_features=512, out_features=27, bias=True)
  (loss_function): ViterbiLoss()
  (crf): CRF()
)"
2024-03-28 08:17:18,724 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:18,726 Corpus: 50 train + 16 dev + 2 test sentences
2024-03-28 08:17:18,728 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:18,730 Train:  66 sentences
2024-03-28 08:17:18,731         (train_with_dev=True, train_with_test=False)
2024-03-28 08:17:18,732 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:18,733 Training Params:
2024-03-28 08:17:18,734  - learning_rate: "0.1" 
2024-03-28 08:17:18,735  - mini_batch_size: "32"
2024-03-28 08:17:18,736  - max_epochs: "150"
2024-03-28 08:17:18,737  - shuffle: "True"
2024-03-28 08:17:18,738 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:18,739 Plugins:
2024-03-28 08:17:18,740  - AnnealOnPlateau | patience: '3', anneal_factor: '0.5', min_learning_rate: '0.0001'
2024-03-28 08:17:18,741 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:18,742 Final evaluation on model from best epoch (best-model.pt)
2024-03-28 08:17:18,743  - metric: "('micro avg', 'f1-score')"
2024-03-28 08:17:18,744 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:18,745 Computation:
2024-03-28 08:17:18,746  - compute on device: cuda:0
2024-03-28 08:17:18,747  - embedding storage: cpu
2024-03-28 08:17:18,748 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:18,749 Model training base path: "resources/taggers/ner-english"
2024-03-28 08:17:18,750 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:18,751 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:19,989 epoch 1 - iter 1/3 - loss 3.89520449 - time (sec): 1.24 - samples/sec: 293.65 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,187 epoch 1 - iter 2/3 - loss 3.66095937 - time (sec): 1.43 - samples/sec: 528.48 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,262 epoch 1 - iter 3/3 - loss 3.64980804 - time (sec): 1.51 - samples/sec: 515.97 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,264 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,266 EPOCH 1 done: loss 3.6498 - lr: 0.100000
2024-03-28 08:17:20,269  - 0 epochs without improvement
2024-03-28 08:17:20,271 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,325 epoch 2 - iter 1/3 - loss 2.86402897 - time (sec): 0.05 - samples/sec: 7169.95 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,380 epoch 2 - iter 2/3 - loss 2.67384357 - time (sec): 0.11 - samples/sec: 7094.75 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,400 epoch 2 - iter 3/3 - loss 2.67358100 - time (sec): 0.13 - samples/sec: 6139.54 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,402 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,404 EPOCH 2 done: loss 2.6736 - lr: 0.100000
2024-03-28 08:17:20,407  - 0 epochs without improvement
2024-03-28 08:17:20,409 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,462 epoch 3 - iter 1/3 - loss 2.54878776 - time (sec): 0.05 - samples/sec: 7334.79 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,518 epoch 3 - iter 2/3 - loss 2.53605450 - time (sec): 0.11 - samples/sec: 7047.29 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,538 epoch 3 - iter 3/3 - loss 2.53616859 - time (sec): 0.13 - samples/sec: 6159.64 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,539 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,541 EPOCH 3 done: loss 2.5362 - lr: 0.100000
2024-03-28 08:17:20,544  - 0 epochs without improvement
2024-03-28 08:17:20,546 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,602 epoch 4 - iter 1/3 - loss 2.23575224 - time (sec): 0.05 - samples/sec: 7224.14 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,657 epoch 4 - iter 2/3 - loss 2.25698236 - time (sec): 0.11 - samples/sec: 6988.43 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,684 epoch 4 - iter 3/3 - loss 2.25857771 - time (sec): 0.13 - samples/sec: 5776.35 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,686 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,687 EPOCH 4 done: loss 2.2586 - lr: 0.100000
2024-03-28 08:17:20,691  - 0 epochs without improvement
2024-03-28 08:17:20,692 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,752 epoch 5 - iter 1/3 - loss 2.13611033 - time (sec): 0.06 - samples/sec: 6493.18 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,805 epoch 5 - iter 2/3 - loss 2.36760076 - time (sec): 0.11 - samples/sec: 6750.71 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,826 epoch 5 - iter 3/3 - loss 2.37261041 - time (sec): 0.13 - samples/sec: 5866.84 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,828 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,830 EPOCH 5 done: loss 2.3726 - lr: 0.100000
2024-03-28 08:17:20,833  - 1 epochs without improvement
2024-03-28 08:17:20,835 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,891 epoch 6 - iter 1/3 - loss 2.03731741 - time (sec): 0.05 - samples/sec: 7109.40 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,942 epoch 6 - iter 2/3 - loss 2.18071411 - time (sec): 0.10 - samples/sec: 7188.97 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,962 epoch 6 - iter 3/3 - loss 2.18895678 - time (sec): 0.12 - samples/sec: 6241.91 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:20,963 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:20,966 EPOCH 6 done: loss 2.1890 - lr: 0.100000
2024-03-28 08:17:20,968  - 0 epochs without improvement
2024-03-28 08:17:20,971 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,023 epoch 7 - iter 1/3 - loss 2.04189793 - time (sec): 0.05 - samples/sec: 7420.45 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,076 epoch 7 - iter 2/3 - loss 2.15233710 - time (sec): 0.10 - samples/sec: 7292.98 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,099 epoch 7 - iter 3/3 - loss 2.14918294 - time (sec): 0.13 - samples/sec: 6173.92 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,100 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,103 EPOCH 7 done: loss 2.1492 - lr: 0.100000
2024-03-28 08:17:21,105  - 0 epochs without improvement
2024-03-28 08:17:21,107 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,163 epoch 8 - iter 1/3 - loss 2.00957574 - time (sec): 0.05 - samples/sec: 6920.15 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,235 epoch 8 - iter 2/3 - loss 2.10641110 - time (sec): 0.13 - samples/sec: 6026.96 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,252 epoch 8 - iter 3/3 - loss 2.09810765 - time (sec): 0.14 - samples/sec: 5427.81 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,254 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,256 EPOCH 8 done: loss 2.0981 - lr: 0.100000
2024-03-28 08:17:21,258  - 0 epochs without improvement
2024-03-28 08:17:21,260 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,321 epoch 9 - iter 1/3 - loss 1.87147667 - time (sec): 0.06 - samples/sec: 6469.17 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,374 epoch 9 - iter 2/3 - loss 1.90567073 - time (sec): 0.11 - samples/sec: 6810.86 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,392 epoch 9 - iter 3/3 - loss 1.90993370 - time (sec): 0.13 - samples/sec: 6015.71 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,393 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,396 EPOCH 9 done: loss 1.9099 - lr: 0.100000
2024-03-28 08:17:21,399  - 0 epochs without improvement
2024-03-28 08:17:21,402 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,457 epoch 10 - iter 1/3 - loss 1.71991461 - time (sec): 0.05 - samples/sec: 7262.42 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,508 epoch 10 - iter 2/3 - loss 1.76847363 - time (sec): 0.10 - samples/sec: 7256.26 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,528 epoch 10 - iter 3/3 - loss 1.77860270 - time (sec): 0.12 - samples/sec: 6274.62 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,529 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,532 EPOCH 10 done: loss 1.7786 - lr: 0.100000
2024-03-28 08:17:21,534  - 0 epochs without improvement
2024-03-28 08:17:21,535 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,587 epoch 11 - iter 1/3 - loss 1.66010083 - time (sec): 0.05 - samples/sec: 7196.38 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,645 epoch 11 - iter 2/3 - loss 1.59093850 - time (sec): 0.11 - samples/sec: 7044.52 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,666 epoch 11 - iter 3/3 - loss 1.59128529 - time (sec): 0.13 - samples/sec: 6073.07 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,668 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,670 EPOCH 11 done: loss 1.5913 - lr: 0.100000
2024-03-28 08:17:21,672  - 0 epochs without improvement
2024-03-28 08:17:21,674 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,741 epoch 12 - iter 1/3 - loss 1.45300551 - time (sec): 0.06 - samples/sec: 5849.43 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,794 epoch 12 - iter 2/3 - loss 1.54522138 - time (sec): 0.12 - samples/sec: 6383.37 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,812 epoch 12 - iter 3/3 - loss 1.55333909 - time (sec): 0.14 - samples/sec: 5708.67 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:21,814 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,816 EPOCH 12 done: loss 1.5533 - lr: 0.100000
2024-03-28 08:17:21,818  - 0 epochs without improvement
2024-03-28 08:17:21,820 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:21,921 epoch 13 - iter 1/3 - loss 1.40899330 - time (sec): 0.10 - samples/sec: 3740.93 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,064 epoch 13 - iter 2/3 - loss 1.54839168 - time (sec): 0.24 - samples/sec: 3118.32 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,114 epoch 13 - iter 3/3 - loss 1.56202413 - time (sec): 0.29 - samples/sec: 2663.00 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,125 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:22,130 EPOCH 13 done: loss 1.5620 - lr: 0.100000
2024-03-28 08:17:22,134  - 1 epochs without improvement
2024-03-28 08:17:22,139 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:22,307 epoch 14 - iter 1/3 - loss 1.38356743 - time (sec): 0.16 - samples/sec: 2397.83 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,482 epoch 14 - iter 2/3 - loss 1.54459355 - time (sec): 0.34 - samples/sec: 2244.39 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,523 epoch 14 - iter 3/3 - loss 1.53138270 - time (sec): 0.38 - samples/sec: 2070.70 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,529 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:22,534 EPOCH 14 done: loss 1.5314 - lr: 0.100000
2024-03-28 08:17:22,539  - 0 epochs without improvement
2024-03-28 08:17:22,544 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:22,630 epoch 15 - iter 1/3 - loss 1.27575495 - time (sec): 0.09 - samples/sec: 4561.13 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,734 epoch 15 - iter 2/3 - loss 1.35834534 - time (sec): 0.19 - samples/sec: 3990.42 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,764 epoch 15 - iter 3/3 - loss 1.34995187 - time (sec): 0.22 - samples/sec: 3554.22 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,766 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:22,768 EPOCH 15 done: loss 1.3500 - lr: 0.100000
2024-03-28 08:17:22,770  - 0 epochs without improvement
2024-03-28 08:17:22,772 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:22,823 epoch 16 - iter 1/3 - loss 1.37755839 - time (sec): 0.05 - samples/sec: 7319.83 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,881 epoch 16 - iter 2/3 - loss 1.38638806 - time (sec): 0.11 - samples/sec: 7056.80 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,902 epoch 16 - iter 3/3 - loss 1.39000288 - time (sec): 0.13 - samples/sec: 6067.46 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:22,903 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:22,906 EPOCH 16 done: loss 1.3900 - lr: 0.100000
2024-03-28 08:17:22,908  - 1 epochs without improvement
2024-03-28 08:17:22,910 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:22,968 epoch 17 - iter 1/3 - loss 1.20068740 - time (sec): 0.06 - samples/sec: 6891.14 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,022 epoch 17 - iter 2/3 - loss 1.33284879 - time (sec): 0.11 - samples/sec: 6919.21 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,040 epoch 17 - iter 3/3 - loss 1.32322263 - time (sec): 0.13 - samples/sec: 6101.05 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,041 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,044 EPOCH 17 done: loss 1.3232 - lr: 0.100000
2024-03-28 08:17:23,046  - 0 epochs without improvement
2024-03-28 08:17:23,048 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,111 epoch 18 - iter 1/3 - loss 1.07715878 - time (sec): 0.06 - samples/sec: 5863.19 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,169 epoch 18 - iter 2/3 - loss 1.11523696 - time (sec): 0.12 - samples/sec: 6385.81 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,190 epoch 18 - iter 3/3 - loss 1.12881250 - time (sec): 0.14 - samples/sec: 5612.38 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,191 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,193 EPOCH 18 done: loss 1.1288 - lr: 0.100000
2024-03-28 08:17:23,195  - 0 epochs without improvement
2024-03-28 08:17:23,197 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,250 epoch 19 - iter 1/3 - loss 1.17796772 - time (sec): 0.05 - samples/sec: 7314.84 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,311 epoch 19 - iter 2/3 - loss 1.12915249 - time (sec): 0.11 - samples/sec: 6757.36 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,333 epoch 19 - iter 3/3 - loss 1.13171445 - time (sec): 0.13 - samples/sec: 5836.53 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,334 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,337 EPOCH 19 done: loss 1.1317 - lr: 0.100000
2024-03-28 08:17:23,339  - 1 epochs without improvement
2024-03-28 08:17:23,341 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,396 epoch 20 - iter 1/3 - loss 0.96295267 - time (sec): 0.05 - samples/sec: 6779.84 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,455 epoch 20 - iter 2/3 - loss 1.00070300 - time (sec): 0.11 - samples/sec: 6732.66 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,478 epoch 20 - iter 3/3 - loss 1.01394812 - time (sec): 0.13 - samples/sec: 5781.74 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,480 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,482 EPOCH 20 done: loss 1.0139 - lr: 0.100000
2024-03-28 08:17:23,484  - 0 epochs without improvement
2024-03-28 08:17:23,486 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,543 epoch 21 - iter 1/3 - loss 0.96068054 - time (sec): 0.05 - samples/sec: 6964.31 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,602 epoch 21 - iter 2/3 - loss 0.95635751 - time (sec): 0.11 - samples/sec: 6617.04 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,625 epoch 21 - iter 3/3 - loss 0.97607584 - time (sec): 0.14 - samples/sec: 5700.76 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,627 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,628 EPOCH 21 done: loss 0.9761 - lr: 0.100000
2024-03-28 08:17:23,631  - 0 epochs without improvement
2024-03-28 08:17:23,632 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,689 epoch 22 - iter 1/3 - loss 1.00281657 - time (sec): 0.06 - samples/sec: 6641.61 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,747 epoch 22 - iter 2/3 - loss 1.21212293 - time (sec): 0.11 - samples/sec: 6664.14 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,773 epoch 22 - iter 3/3 - loss 1.20723088 - time (sec): 0.14 - samples/sec: 5568.19 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,776 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,778 EPOCH 22 done: loss 1.2072 - lr: 0.100000
2024-03-28 08:17:23,781  - 1 epochs without improvement
2024-03-28 08:17:23,783 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,840 epoch 23 - iter 1/3 - loss 0.92433229 - time (sec): 0.06 - samples/sec: 6606.47 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,899 epoch 23 - iter 2/3 - loss 0.89933829 - time (sec): 0.11 - samples/sec: 6601.51 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,920 epoch 23 - iter 3/3 - loss 0.90085771 - time (sec): 0.14 - samples/sec: 5732.34 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:23,922 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,923 EPOCH 23 done: loss 0.9009 - lr: 0.100000
2024-03-28 08:17:23,924  - 0 epochs without improvement
2024-03-28 08:17:23,926 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:23,985 epoch 24 - iter 1/3 - loss 0.87424509 - time (sec): 0.06 - samples/sec: 6585.47 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,042 epoch 24 - iter 2/3 - loss 0.89530697 - time (sec): 0.11 - samples/sec: 6537.72 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,067 epoch 24 - iter 3/3 - loss 0.88943652 - time (sec): 0.14 - samples/sec: 5568.05 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,068 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,071 EPOCH 24 done: loss 0.8894 - lr: 0.100000
2024-03-28 08:17:24,073  - 0 epochs without improvement
2024-03-28 08:17:24,075 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,133 epoch 25 - iter 1/3 - loss 0.81370553 - time (sec): 0.06 - samples/sec: 6620.45 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,189 epoch 25 - iter 2/3 - loss 0.92242940 - time (sec): 0.11 - samples/sec: 6745.95 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,210 epoch 25 - iter 3/3 - loss 0.92524679 - time (sec): 0.13 - samples/sec: 5858.10 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,211 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,213 EPOCH 25 done: loss 0.9252 - lr: 0.100000
2024-03-28 08:17:24,215  - 1 epochs without improvement
2024-03-28 08:17:24,217 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,274 epoch 26 - iter 1/3 - loss 0.79273251 - time (sec): 0.05 - samples/sec: 6820.66 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,331 epoch 26 - iter 2/3 - loss 0.87877008 - time (sec): 0.11 - samples/sec: 6733.61 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,352 epoch 26 - iter 3/3 - loss 0.90538403 - time (sec): 0.13 - samples/sec: 5869.87 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,353 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,355 EPOCH 26 done: loss 0.9054 - lr: 0.100000
2024-03-28 08:17:24,358  - 2 epochs without improvement
2024-03-28 08:17:24,360 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,418 epoch 27 - iter 1/3 - loss 0.74028516 - time (sec): 0.06 - samples/sec: 6713.21 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,471 epoch 27 - iter 2/3 - loss 0.79558357 - time (sec): 0.11 - samples/sec: 6912.66 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,493 epoch 27 - iter 3/3 - loss 0.78833750 - time (sec): 0.13 - samples/sec: 5933.28 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,494 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,497 EPOCH 27 done: loss 0.7883 - lr: 0.100000
2024-03-28 08:17:24,499  - 0 epochs without improvement
2024-03-28 08:17:24,501 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,558 epoch 28 - iter 1/3 - loss 0.73223164 - time (sec): 0.05 - samples/sec: 7009.50 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,614 epoch 28 - iter 2/3 - loss 0.79825112 - time (sec): 0.11 - samples/sec: 6781.62 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,636 epoch 28 - iter 3/3 - loss 0.80838393 - time (sec): 0.13 - samples/sec: 5838.03 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,638 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,640 EPOCH 28 done: loss 0.8084 - lr: 0.100000
2024-03-28 08:17:24,642  - 1 epochs without improvement
2024-03-28 08:17:24,644 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,705 epoch 29 - iter 1/3 - loss 0.73960586 - time (sec): 0.06 - samples/sec: 6563.24 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,765 epoch 29 - iter 2/3 - loss 0.76877805 - time (sec): 0.12 - samples/sec: 6320.53 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,795 epoch 29 - iter 3/3 - loss 0.77613517 - time (sec): 0.15 - samples/sec: 5254.68 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,797 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,798 EPOCH 29 done: loss 0.7761 - lr: 0.100000
2024-03-28 08:17:24,800  - 0 epochs without improvement
2024-03-28 08:17:24,801 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,860 epoch 30 - iter 1/3 - loss 0.67987162 - time (sec): 0.06 - samples/sec: 6301.07 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,919 epoch 30 - iter 2/3 - loss 0.80107175 - time (sec): 0.12 - samples/sec: 6458.26 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,942 epoch 30 - iter 3/3 - loss 0.78518193 - time (sec): 0.14 - samples/sec: 5591.29 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:24,943 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:24,946 EPOCH 30 done: loss 0.7852 - lr: 0.100000
2024-03-28 08:17:24,947  - 1 epochs without improvement
2024-03-28 08:17:24,949 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,007 epoch 31 - iter 1/3 - loss 0.72036921 - time (sec): 0.06 - samples/sec: 6751.61 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,066 epoch 31 - iter 2/3 - loss 0.74809603 - time (sec): 0.11 - samples/sec: 6584.20 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,086 epoch 31 - iter 3/3 - loss 0.76881219 - time (sec): 0.14 - samples/sec: 5758.17 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,088 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,090 EPOCH 31 done: loss 0.7688 - lr: 0.100000
2024-03-28 08:17:25,092  - 0 epochs without improvement
2024-03-28 08:17:25,094 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,151 epoch 32 - iter 1/3 - loss 0.65752133 - time (sec): 0.05 - samples/sec: 6946.23 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,209 epoch 32 - iter 2/3 - loss 0.77810001 - time (sec): 0.11 - samples/sec: 6696.23 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,230 epoch 32 - iter 3/3 - loss 0.78357744 - time (sec): 0.13 - samples/sec: 5823.26 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,231 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,233 EPOCH 32 done: loss 0.7836 - lr: 0.100000
2024-03-28 08:17:25,235  - 1 epochs without improvement
2024-03-28 08:17:25,237 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,294 epoch 33 - iter 1/3 - loss 0.64043031 - time (sec): 0.06 - samples/sec: 7078.75 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,349 epoch 33 - iter 2/3 - loss 0.73229287 - time (sec): 0.11 - samples/sec: 6903.81 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,370 epoch 33 - iter 3/3 - loss 0.73384079 - time (sec): 0.13 - samples/sec: 5950.19 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,371 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,373 EPOCH 33 done: loss 0.7338 - lr: 0.100000
2024-03-28 08:17:25,375  - 0 epochs without improvement
2024-03-28 08:17:25,377 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,430 epoch 34 - iter 1/3 - loss 0.62460938 - time (sec): 0.05 - samples/sec: 7275.45 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,487 epoch 34 - iter 2/3 - loss 0.64987854 - time (sec): 0.11 - samples/sec: 6997.71 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,507 epoch 34 - iter 3/3 - loss 0.65325851 - time (sec): 0.13 - samples/sec: 6040.31 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,508 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,512 EPOCH 34 done: loss 0.6533 - lr: 0.100000
2024-03-28 08:17:25,513  - 0 epochs without improvement
2024-03-28 08:17:25,516 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,572 epoch 35 - iter 1/3 - loss 0.60348150 - time (sec): 0.06 - samples/sec: 6739.23 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,633 epoch 35 - iter 2/3 - loss 0.61940546 - time (sec): 0.12 - samples/sec: 6517.32 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,653 epoch 35 - iter 3/3 - loss 0.63090689 - time (sec): 0.14 - samples/sec: 5707.98 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,655 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,657 EPOCH 35 done: loss 0.6309 - lr: 0.100000
2024-03-28 08:17:25,660  - 0 epochs without improvement
2024-03-28 08:17:25,662 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,723 epoch 36 - iter 1/3 - loss 0.68716618 - time (sec): 0.06 - samples/sec: 6688.94 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,779 epoch 36 - iter 2/3 - loss 0.65410858 - time (sec): 0.12 - samples/sec: 6537.34 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,802 epoch 36 - iter 3/3 - loss 0.64804778 - time (sec): 0.14 - samples/sec: 5662.73 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,804 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,805 EPOCH 36 done: loss 0.6480 - lr: 0.100000
2024-03-28 08:17:25,808  - 1 epochs without improvement
2024-03-28 08:17:25,810 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,879 epoch 37 - iter 1/3 - loss 0.55648579 - time (sec): 0.07 - samples/sec: 5641.94 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,934 epoch 37 - iter 2/3 - loss 0.56768645 - time (sec): 0.12 - samples/sec: 6142.28 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,957 epoch 37 - iter 3/3 - loss 0.55914694 - time (sec): 0.15 - samples/sec: 5356.34 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:25,959 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:25,961 EPOCH 37 done: loss 0.5591 - lr: 0.100000
2024-03-28 08:17:25,964  - 0 epochs without improvement
2024-03-28 08:17:25,966 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,025 epoch 38 - iter 1/3 - loss 0.51758271 - time (sec): 0.06 - samples/sec: 6540.86 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,082 epoch 38 - iter 2/3 - loss 0.55500957 - time (sec): 0.11 - samples/sec: 6651.95 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,105 epoch 38 - iter 3/3 - loss 0.55066609 - time (sec): 0.14 - samples/sec: 5710.01 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,107 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,108 EPOCH 38 done: loss 0.5507 - lr: 0.100000
2024-03-28 08:17:26,111  - 0 epochs without improvement
2024-03-28 08:17:26,113 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,169 epoch 39 - iter 1/3 - loss 0.52499112 - time (sec): 0.05 - samples/sec: 6843.36 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,226 epoch 39 - iter 2/3 - loss 0.60316280 - time (sec): 0.11 - samples/sec: 6794.22 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,246 epoch 39 - iter 3/3 - loss 0.60409781 - time (sec): 0.13 - samples/sec: 5933.97 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,248 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,250 EPOCH 39 done: loss 0.6041 - lr: 0.100000
2024-03-28 08:17:26,251  - 1 epochs without improvement
2024-03-28 08:17:26,253 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,306 epoch 40 - iter 1/3 - loss 0.53139622 - time (sec): 0.05 - samples/sec: 7250.90 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,362 epoch 40 - iter 2/3 - loss 0.63330951 - time (sec): 0.11 - samples/sec: 7050.77 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,384 epoch 40 - iter 3/3 - loss 0.65098037 - time (sec): 0.13 - samples/sec: 6068.28 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,385 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,387 EPOCH 40 done: loss 0.6510 - lr: 0.100000
2024-03-28 08:17:26,389  - 2 epochs without improvement
2024-03-28 08:17:26,391 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,448 epoch 41 - iter 1/3 - loss 0.47745747 - time (sec): 0.06 - samples/sec: 7033.08 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,501 epoch 41 - iter 2/3 - loss 0.57856303 - time (sec): 0.11 - samples/sec: 6980.97 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,522 epoch 41 - iter 3/3 - loss 0.58042573 - time (sec): 0.13 - samples/sec: 6036.54 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,523 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,525 EPOCH 41 done: loss 0.5804 - lr: 0.100000
2024-03-28 08:17:26,527  - 3 epochs without improvement
2024-03-28 08:17:26,530 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,583 epoch 42 - iter 1/3 - loss 0.42300423 - time (sec): 0.05 - samples/sec: 7069.18 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,642 epoch 42 - iter 2/3 - loss 0.50901183 - time (sec): 0.11 - samples/sec: 6851.52 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,664 epoch 42 - iter 3/3 - loss 0.51397627 - time (sec): 0.13 - samples/sec: 5903.60 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,665 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,668 EPOCH 42 done: loss 0.5140 - lr: 0.100000
2024-03-28 08:17:26,670  - 0 epochs without improvement
2024-03-28 08:17:26,671 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,725 epoch 43 - iter 1/3 - loss 0.43131554 - time (sec): 0.05 - samples/sec: 7469.38 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,780 epoch 43 - iter 2/3 - loss 0.45865295 - time (sec): 0.11 - samples/sec: 7192.87 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,799 epoch 43 - iter 3/3 - loss 0.46354005 - time (sec): 0.12 - samples/sec: 6254.00 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,801 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,802 EPOCH 43 done: loss 0.4635 - lr: 0.100000
2024-03-28 08:17:26,805  - 0 epochs without improvement
2024-03-28 08:17:26,807 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,880 epoch 44 - iter 1/3 - loss 0.38269338 - time (sec): 0.07 - samples/sec: 5252.95 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,937 epoch 44 - iter 2/3 - loss 0.45035515 - time (sec): 0.13 - samples/sec: 5868.03 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,958 epoch 44 - iter 3/3 - loss 0.46800970 - time (sec): 0.15 - samples/sec: 5207.94 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:26,960 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:26,962 EPOCH 44 done: loss 0.4680 - lr: 0.100000
2024-03-28 08:17:26,964  - 1 epochs without improvement
2024-03-28 08:17:26,966 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,020 epoch 45 - iter 1/3 - loss 0.55979287 - time (sec): 0.05 - samples/sec: 6900.66 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:27,078 epoch 45 - iter 2/3 - loss 0.60172829 - time (sec): 0.11 - samples/sec: 6830.58 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:27,102 epoch 45 - iter 3/3 - loss 0.60610126 - time (sec): 0.13 - samples/sec: 5809.80 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:27,103 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,106 EPOCH 45 done: loss 0.6061 - lr: 0.100000
2024-03-28 08:17:27,108  - 2 epochs without improvement
2024-03-28 08:17:27,110 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,168 epoch 46 - iter 1/3 - loss 0.39475430 - time (sec): 0.06 - samples/sec: 6876.65 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:27,225 epoch 46 - iter 2/3 - loss 0.54832357 - time (sec): 0.11 - samples/sec: 6629.37 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:27,248 epoch 46 - iter 3/3 - loss 0.56223541 - time (sec): 0.14 - samples/sec: 5726.49 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:27,250 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,252 EPOCH 46 done: loss 0.5622 - lr: 0.100000
2024-03-28 08:17:27,253  - 3 epochs without improvement
2024-03-28 08:17:27,255 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,308 epoch 47 - iter 1/3 - loss 0.48381139 - time (sec): 0.05 - samples/sec: 7196.25 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:27,367 epoch 47 - iter 2/3 - loss 0.48273780 - time (sec): 0.11 - samples/sec: 6884.10 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:27,386 epoch 47 - iter 3/3 - loss 0.48273130 - time (sec): 0.13 - samples/sec: 6037.67 - lr: 0.100000 - momentum: 0.000000
2024-03-28 08:17:27,387 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,390 EPOCH 47 done: loss 0.4827 - lr: 0.100000
2024-03-28 08:17:27,392  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.05]
2024-03-28 08:17:27,393 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,453 epoch 48 - iter 1/3 - loss 0.41768263 - time (sec): 0.06 - samples/sec: 6595.15 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,513 epoch 48 - iter 2/3 - loss 0.38885684 - time (sec): 0.12 - samples/sec: 6398.32 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,536 epoch 48 - iter 3/3 - loss 0.39774984 - time (sec): 0.14 - samples/sec: 5529.87 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,538 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,540 EPOCH 48 done: loss 0.3977 - lr: 0.050000
2024-03-28 08:17:27,542  - 0 epochs without improvement
2024-03-28 08:17:27,544 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,598 epoch 49 - iter 1/3 - loss 0.42181313 - time (sec): 0.05 - samples/sec: 6983.53 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,658 epoch 49 - iter 2/3 - loss 0.42516542 - time (sec): 0.11 - samples/sec: 6744.96 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,680 epoch 49 - iter 3/3 - loss 0.42786853 - time (sec): 0.13 - samples/sec: 5800.06 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,682 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,684 EPOCH 49 done: loss 0.4279 - lr: 0.050000
2024-03-28 08:17:27,686  - 1 epochs without improvement
2024-03-28 08:17:27,688 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,746 epoch 50 - iter 1/3 - loss 0.36942534 - time (sec): 0.06 - samples/sec: 6531.08 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,804 epoch 50 - iter 2/3 - loss 0.39677812 - time (sec): 0.11 - samples/sec: 6598.33 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,826 epoch 50 - iter 3/3 - loss 0.39605864 - time (sec): 0.14 - samples/sec: 5712.69 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,827 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,829 EPOCH 50 done: loss 0.3961 - lr: 0.050000
2024-03-28 08:17:27,832  - 0 epochs without improvement
2024-03-28 08:17:27,834 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,903 epoch 51 - iter 1/3 - loss 0.43184934 - time (sec): 0.07 - samples/sec: 5664.57 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,960 epoch 51 - iter 2/3 - loss 0.38401218 - time (sec): 0.12 - samples/sec: 6064.09 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,983 epoch 51 - iter 3/3 - loss 0.37752742 - time (sec): 0.15 - samples/sec: 5301.33 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:27,984 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:27,986 EPOCH 51 done: loss 0.3775 - lr: 0.050000
2024-03-28 08:17:27,988  - 0 epochs without improvement
2024-03-28 08:17:27,990 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,049 epoch 52 - iter 1/3 - loss 0.35562676 - time (sec): 0.06 - samples/sec: 6662.98 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,105 epoch 52 - iter 2/3 - loss 0.39021176 - time (sec): 0.11 - samples/sec: 6745.21 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,125 epoch 52 - iter 3/3 - loss 0.38894399 - time (sec): 0.13 - samples/sec: 5850.05 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,126 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,129 EPOCH 52 done: loss 0.3889 - lr: 0.050000
2024-03-28 08:17:28,131  - 1 epochs without improvement
2024-03-28 08:17:28,137 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,195 epoch 53 - iter 1/3 - loss 0.39950673 - time (sec): 0.06 - samples/sec: 6723.95 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,255 epoch 53 - iter 2/3 - loss 0.36948178 - time (sec): 0.12 - samples/sec: 6432.09 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,277 epoch 53 - iter 3/3 - loss 0.36752576 - time (sec): 0.14 - samples/sec: 5595.26 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,278 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,281 EPOCH 53 done: loss 0.3675 - lr: 0.050000
2024-03-28 08:17:28,284  - 0 epochs without improvement
2024-03-28 08:17:28,286 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,344 epoch 54 - iter 1/3 - loss 0.43958230 - time (sec): 0.06 - samples/sec: 6743.68 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,404 epoch 54 - iter 2/3 - loss 0.38823870 - time (sec): 0.12 - samples/sec: 6561.00 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,423 epoch 54 - iter 3/3 - loss 0.38712112 - time (sec): 0.14 - samples/sec: 5745.80 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,424 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,427 EPOCH 54 done: loss 0.3871 - lr: 0.050000
2024-03-28 08:17:28,429  - 1 epochs without improvement
2024-03-28 08:17:28,431 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,491 epoch 55 - iter 1/3 - loss 0.33166958 - time (sec): 0.06 - samples/sec: 6502.37 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,548 epoch 55 - iter 2/3 - loss 0.35142904 - time (sec): 0.11 - samples/sec: 6556.22 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,572 epoch 55 - iter 3/3 - loss 0.35143608 - time (sec): 0.14 - samples/sec: 5608.11 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,573 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,576 EPOCH 55 done: loss 0.3514 - lr: 0.050000
2024-03-28 08:17:28,578  - 0 epochs without improvement
2024-03-28 08:17:28,580 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,637 epoch 56 - iter 1/3 - loss 0.31375787 - time (sec): 0.06 - samples/sec: 6913.87 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,693 epoch 56 - iter 2/3 - loss 0.36526944 - time (sec): 0.11 - samples/sec: 6797.80 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,719 epoch 56 - iter 3/3 - loss 0.36703805 - time (sec): 0.14 - samples/sec: 5679.69 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,722 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,723 EPOCH 56 done: loss 0.3670 - lr: 0.050000
2024-03-28 08:17:28,726  - 1 epochs without improvement
2024-03-28 08:17:28,728 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,788 epoch 57 - iter 1/3 - loss 0.34331413 - time (sec): 0.06 - samples/sec: 6434.32 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,848 epoch 57 - iter 2/3 - loss 0.31192883 - time (sec): 0.12 - samples/sec: 6425.04 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,870 epoch 57 - iter 3/3 - loss 0.33033584 - time (sec): 0.14 - samples/sec: 5594.69 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:28,871 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,872 EPOCH 57 done: loss 0.3303 - lr: 0.050000
2024-03-28 08:17:28,877  - 0 epochs without improvement
2024-03-28 08:17:28,878 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:28,946 epoch 58 - iter 1/3 - loss 0.34725195 - time (sec): 0.07 - samples/sec: 5657.91 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,004 epoch 58 - iter 2/3 - loss 0.37529768 - time (sec): 0.12 - samples/sec: 6067.92 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,025 epoch 58 - iter 3/3 - loss 0.36694724 - time (sec): 0.15 - samples/sec: 5352.65 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,026 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,029 EPOCH 58 done: loss 0.3669 - lr: 0.050000
2024-03-28 08:17:29,031  - 1 epochs without improvement
2024-03-28 08:17:29,033 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,093 epoch 59 - iter 1/3 - loss 0.32319374 - time (sec): 0.06 - samples/sec: 6666.13 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,150 epoch 59 - iter 2/3 - loss 0.36156839 - time (sec): 0.11 - samples/sec: 6593.50 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,171 epoch 59 - iter 3/3 - loss 0.35770635 - time (sec): 0.14 - samples/sec: 5757.77 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,172 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,175 EPOCH 59 done: loss 0.3577 - lr: 0.050000
2024-03-28 08:17:29,177  - 2 epochs without improvement
2024-03-28 08:17:29,179 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,236 epoch 60 - iter 1/3 - loss 0.35786226 - time (sec): 0.05 - samples/sec: 6718.36 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,296 epoch 60 - iter 2/3 - loss 0.32282126 - time (sec): 0.11 - samples/sec: 6566.24 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,318 epoch 60 - iter 3/3 - loss 0.32584037 - time (sec): 0.14 - samples/sec: 5695.33 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,319 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,322 EPOCH 60 done: loss 0.3258 - lr: 0.050000
2024-03-28 08:17:29,324  - 0 epochs without improvement
2024-03-28 08:17:29,326 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,386 epoch 61 - iter 1/3 - loss 0.31694630 - time (sec): 0.06 - samples/sec: 6586.41 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,444 epoch 61 - iter 2/3 - loss 0.32953179 - time (sec): 0.12 - samples/sec: 6528.46 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,464 epoch 61 - iter 3/3 - loss 0.33318767 - time (sec): 0.14 - samples/sec: 5719.06 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,465 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,470 EPOCH 61 done: loss 0.3332 - lr: 0.050000
2024-03-28 08:17:29,472  - 1 epochs without improvement
2024-03-28 08:17:29,474 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,565 epoch 62 - iter 1/3 - loss 0.36500877 - time (sec): 0.09 - samples/sec: 4362.49 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,644 epoch 62 - iter 2/3 - loss 0.36921448 - time (sec): 0.17 - samples/sec: 4560.34 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,670 epoch 62 - iter 3/3 - loss 0.36851223 - time (sec): 0.19 - samples/sec: 4043.17 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,672 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,674 EPOCH 62 done: loss 0.3685 - lr: 0.050000
2024-03-28 08:17:29,676  - 2 epochs without improvement
2024-03-28 08:17:29,680 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,759 epoch 63 - iter 1/3 - loss 0.33987467 - time (sec): 0.08 - samples/sec: 4908.18 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,832 epoch 63 - iter 2/3 - loss 0.31350088 - time (sec): 0.15 - samples/sec: 5025.51 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,866 epoch 63 - iter 3/3 - loss 0.31055526 - time (sec): 0.18 - samples/sec: 4229.03 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:29,871 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,873 EPOCH 63 done: loss 0.3106 - lr: 0.050000
2024-03-28 08:17:29,876  - 0 epochs without improvement
2024-03-28 08:17:29,880 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:29,958 epoch 64 - iter 1/3 - loss 0.26725151 - time (sec): 0.08 - samples/sec: 4873.15 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,031 epoch 64 - iter 2/3 - loss 0.28908948 - time (sec): 0.15 - samples/sec: 5028.99 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,062 epoch 64 - iter 3/3 - loss 0.28560790 - time (sec): 0.18 - samples/sec: 4319.14 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,064 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,066 EPOCH 64 done: loss 0.2856 - lr: 0.050000
2024-03-28 08:17:30,068  - 0 epochs without improvement
2024-03-28 08:17:30,071 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,156 epoch 65 - iter 1/3 - loss 0.31429729 - time (sec): 0.08 - samples/sec: 4581.06 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,230 epoch 65 - iter 2/3 - loss 0.29635203 - time (sec): 0.16 - samples/sec: 4840.36 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,255 epoch 65 - iter 3/3 - loss 0.29523661 - time (sec): 0.18 - samples/sec: 4286.70 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,257 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,259 EPOCH 65 done: loss 0.2952 - lr: 0.050000
2024-03-28 08:17:30,261  - 1 epochs without improvement
2024-03-28 08:17:30,266 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,345 epoch 66 - iter 1/3 - loss 0.29821407 - time (sec): 0.07 - samples/sec: 5332.72 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,414 epoch 66 - iter 2/3 - loss 0.28612373 - time (sec): 0.14 - samples/sec: 5251.36 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,445 epoch 66 - iter 3/3 - loss 0.28648758 - time (sec): 0.17 - samples/sec: 4468.65 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,446 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,448 EPOCH 66 done: loss 0.2865 - lr: 0.050000
2024-03-28 08:17:30,450  - 2 epochs without improvement
2024-03-28 08:17:30,455 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,532 epoch 67 - iter 1/3 - loss 0.30148906 - time (sec): 0.07 - samples/sec: 5061.17 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,608 epoch 67 - iter 2/3 - loss 0.28348274 - time (sec): 0.15 - samples/sec: 5073.18 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,640 epoch 67 - iter 3/3 - loss 0.28444606 - time (sec): 0.18 - samples/sec: 4310.84 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,643 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,645 EPOCH 67 done: loss 0.2844 - lr: 0.050000
2024-03-28 08:17:30,646  - 0 epochs without improvement
2024-03-28 08:17:30,651 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,739 epoch 68 - iter 1/3 - loss 0.24679526 - time (sec): 0.09 - samples/sec: 4428.54 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,818 epoch 68 - iter 2/3 - loss 0.24744633 - time (sec): 0.17 - samples/sec: 4571.44 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,844 epoch 68 - iter 3/3 - loss 0.25145054 - time (sec): 0.19 - samples/sec: 4058.42 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:30,846 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,850 EPOCH 68 done: loss 0.2515 - lr: 0.050000
2024-03-28 08:17:30,852  - 0 epochs without improvement
2024-03-28 08:17:30,858 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:30,941 epoch 69 - iter 1/3 - loss 0.27638886 - time (sec): 0.08 - samples/sec: 4740.94 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,029 epoch 69 - iter 2/3 - loss 0.30661476 - time (sec): 0.17 - samples/sec: 4467.12 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,060 epoch 69 - iter 3/3 - loss 0.31547584 - time (sec): 0.20 - samples/sec: 3887.98 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,062 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,063 EPOCH 69 done: loss 0.3155 - lr: 0.050000
2024-03-28 08:17:31,065  - 1 epochs without improvement
2024-03-28 08:17:31,066 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,161 epoch 70 - iter 1/3 - loss 0.23837568 - time (sec): 0.09 - samples/sec: 4401.49 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,244 epoch 70 - iter 2/3 - loss 0.24687925 - time (sec): 0.17 - samples/sec: 4393.89 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,277 epoch 70 - iter 3/3 - loss 0.24774760 - time (sec): 0.21 - samples/sec: 3788.79 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,279 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,281 EPOCH 70 done: loss 0.2477 - lr: 0.050000
2024-03-28 08:17:31,284  - 0 epochs without improvement
2024-03-28 08:17:31,286 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,375 epoch 71 - iter 1/3 - loss 0.23350570 - time (sec): 0.09 - samples/sec: 4276.46 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,460 epoch 71 - iter 2/3 - loss 0.30093106 - time (sec): 0.17 - samples/sec: 4348.19 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,498 epoch 71 - iter 3/3 - loss 0.30286835 - time (sec): 0.21 - samples/sec: 3716.52 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,499 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,501 EPOCH 71 done: loss 0.3029 - lr: 0.050000
2024-03-28 08:17:31,503  - 1 epochs without improvement
2024-03-28 08:17:31,505 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,568 epoch 72 - iter 1/3 - loss 0.26539288 - time (sec): 0.06 - samples/sec: 6231.48 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,632 epoch 72 - iter 2/3 - loss 0.26640178 - time (sec): 0.13 - samples/sec: 6010.71 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,656 epoch 72 - iter 3/3 - loss 0.26600400 - time (sec): 0.15 - samples/sec: 5197.30 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,657 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,660 EPOCH 72 done: loss 0.2660 - lr: 0.050000
2024-03-28 08:17:31,662  - 2 epochs without improvement
2024-03-28 08:17:31,664 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,727 epoch 73 - iter 1/3 - loss 0.35510972 - time (sec): 0.06 - samples/sec: 6182.68 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,790 epoch 73 - iter 2/3 - loss 0.32200273 - time (sec): 0.12 - samples/sec: 6111.29 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,812 epoch 73 - iter 3/3 - loss 0.32643143 - time (sec): 0.15 - samples/sec: 5330.37 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,814 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,816 EPOCH 73 done: loss 0.3264 - lr: 0.050000
2024-03-28 08:17:31,818  - 3 epochs without improvement
2024-03-28 08:17:31,820 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,877 epoch 74 - iter 1/3 - loss 0.25815673 - time (sec): 0.06 - samples/sec: 6556.35 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,940 epoch 74 - iter 2/3 - loss 0.28194370 - time (sec): 0.12 - samples/sec: 6478.13 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,962 epoch 74 - iter 3/3 - loss 0.27985896 - time (sec): 0.14 - samples/sec: 5578.26 - lr: 0.050000 - momentum: 0.000000
2024-03-28 08:17:31,963 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:31,965 EPOCH 74 done: loss 0.2799 - lr: 0.050000
2024-03-28 08:17:31,967  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.025]
2024-03-28 08:17:31,969 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,040 epoch 75 - iter 1/3 - loss 0.29093090 - time (sec): 0.07 - samples/sec: 5702.71 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,102 epoch 75 - iter 2/3 - loss 0.27961471 - time (sec): 0.13 - samples/sec: 5850.26 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,122 epoch 75 - iter 3/3 - loss 0.27655542 - time (sec): 0.15 - samples/sec: 5182.07 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,123 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,125 EPOCH 75 done: loss 0.2766 - lr: 0.025000
2024-03-28 08:17:32,127  - 1 epochs without improvement
2024-03-28 08:17:32,129 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,188 epoch 76 - iter 1/3 - loss 0.25714321 - time (sec): 0.06 - samples/sec: 6688.75 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,246 epoch 76 - iter 2/3 - loss 0.22753257 - time (sec): 0.11 - samples/sec: 6556.61 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,270 epoch 76 - iter 3/3 - loss 0.22469062 - time (sec): 0.14 - samples/sec: 5610.84 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,272 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,274 EPOCH 76 done: loss 0.2247 - lr: 0.025000
2024-03-28 08:17:32,276  - 0 epochs without improvement
2024-03-28 08:17:32,278 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,336 epoch 77 - iter 1/3 - loss 0.22851303 - time (sec): 0.06 - samples/sec: 6810.85 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,397 epoch 77 - iter 2/3 - loss 0.24478198 - time (sec): 0.12 - samples/sec: 6505.43 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,418 epoch 77 - iter 3/3 - loss 0.24530744 - time (sec): 0.14 - samples/sec: 5648.61 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,420 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,422 EPOCH 77 done: loss 0.2453 - lr: 0.025000
2024-03-28 08:17:32,424  - 1 epochs without improvement
2024-03-28 08:17:32,426 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,485 epoch 78 - iter 1/3 - loss 0.23330990 - time (sec): 0.06 - samples/sec: 6428.43 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,545 epoch 78 - iter 2/3 - loss 0.22637907 - time (sec): 0.12 - samples/sec: 6422.96 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,569 epoch 78 - iter 3/3 - loss 0.22713442 - time (sec): 0.14 - samples/sec: 5506.27 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,571 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,572 EPOCH 78 done: loss 0.2271 - lr: 0.025000
2024-03-28 08:17:32,575  - 2 epochs without improvement
2024-03-28 08:17:32,577 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,637 epoch 79 - iter 1/3 - loss 0.22190039 - time (sec): 0.06 - samples/sec: 6500.14 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,695 epoch 79 - iter 2/3 - loss 0.22532757 - time (sec): 0.12 - samples/sec: 6509.80 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,718 epoch 79 - iter 3/3 - loss 0.23285653 - time (sec): 0.14 - samples/sec: 5607.79 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,720 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,722 EPOCH 79 done: loss 0.2329 - lr: 0.025000
2024-03-28 08:17:32,725  - 3 epochs without improvement
2024-03-28 08:17:32,727 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,788 epoch 80 - iter 1/3 - loss 0.25526536 - time (sec): 0.06 - samples/sec: 6383.57 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,847 epoch 80 - iter 2/3 - loss 0.23243752 - time (sec): 0.12 - samples/sec: 6315.12 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,874 epoch 80 - iter 3/3 - loss 0.23886911 - time (sec): 0.15 - samples/sec: 5359.02 - lr: 0.025000 - momentum: 0.000000
2024-03-28 08:17:32,876 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,878 EPOCH 80 done: loss 0.2389 - lr: 0.025000
2024-03-28 08:17:32,880  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.0125]
2024-03-28 08:17:32,882 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:32,940 epoch 81 - iter 1/3 - loss 0.21927306 - time (sec): 0.06 - samples/sec: 6601.29 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:32,999 epoch 81 - iter 2/3 - loss 0.25208861 - time (sec): 0.11 - samples/sec: 6565.79 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,020 epoch 81 - iter 3/3 - loss 0.25078648 - time (sec): 0.14 - samples/sec: 5726.47 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,021 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,023 EPOCH 81 done: loss 0.2508 - lr: 0.012500
2024-03-28 08:17:33,026  - 1 epochs without improvement
2024-03-28 08:17:33,030 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,099 epoch 82 - iter 1/3 - loss 0.21539727 - time (sec): 0.07 - samples/sec: 5529.14 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,159 epoch 82 - iter 2/3 - loss 0.22154193 - time (sec): 0.13 - samples/sec: 6019.49 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,183 epoch 82 - iter 3/3 - loss 0.21919515 - time (sec): 0.15 - samples/sec: 5203.73 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,185 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,187 EPOCH 82 done: loss 0.2192 - lr: 0.012500
2024-03-28 08:17:33,189  - 0 epochs without improvement
2024-03-28 08:17:33,191 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,251 epoch 83 - iter 1/3 - loss 0.22723858 - time (sec): 0.06 - samples/sec: 6519.61 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,311 epoch 83 - iter 2/3 - loss 0.21543177 - time (sec): 0.12 - samples/sec: 6348.02 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,337 epoch 83 - iter 3/3 - loss 0.21577753 - time (sec): 0.14 - samples/sec: 5433.45 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,338 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,340 EPOCH 83 done: loss 0.2158 - lr: 0.012500
2024-03-28 08:17:33,343  - 0 epochs without improvement
2024-03-28 08:17:33,345 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,406 epoch 84 - iter 1/3 - loss 0.21843638 - time (sec): 0.06 - samples/sec: 6477.37 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,469 epoch 84 - iter 2/3 - loss 0.21921544 - time (sec): 0.12 - samples/sec: 6233.58 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,490 epoch 84 - iter 3/3 - loss 0.22220777 - time (sec): 0.14 - samples/sec: 5475.80 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,491 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,493 EPOCH 84 done: loss 0.2222 - lr: 0.012500
2024-03-28 08:17:33,495  - 1 epochs without improvement
2024-03-28 08:17:33,497 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,556 epoch 85 - iter 1/3 - loss 0.20246620 - time (sec): 0.06 - samples/sec: 6829.39 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,614 epoch 85 - iter 2/3 - loss 0.21875451 - time (sec): 0.12 - samples/sec: 6584.49 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,635 epoch 85 - iter 3/3 - loss 0.21674939 - time (sec): 0.14 - samples/sec: 5748.59 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,636 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,638 EPOCH 85 done: loss 0.2167 - lr: 0.012500
2024-03-28 08:17:33,640  - 2 epochs without improvement
2024-03-28 08:17:33,642 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,697 epoch 86 - iter 1/3 - loss 0.24131937 - time (sec): 0.05 - samples/sec: 6773.03 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,759 epoch 86 - iter 2/3 - loss 0.20593521 - time (sec): 0.11 - samples/sec: 6592.96 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,784 epoch 86 - iter 3/3 - loss 0.20776073 - time (sec): 0.14 - samples/sec: 5584.50 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,785 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,788 EPOCH 86 done: loss 0.2078 - lr: 0.012500
2024-03-28 08:17:33,790  - 0 epochs without improvement
2024-03-28 08:17:33,792 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,849 epoch 87 - iter 1/3 - loss 0.20590278 - time (sec): 0.06 - samples/sec: 6426.82 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,910 epoch 87 - iter 2/3 - loss 0.22192351 - time (sec): 0.12 - samples/sec: 6486.36 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,930 epoch 87 - iter 3/3 - loss 0.21830814 - time (sec): 0.14 - samples/sec: 5692.97 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:33,932 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,934 EPOCH 87 done: loss 0.2183 - lr: 0.012500
2024-03-28 08:17:33,936  - 1 epochs without improvement
2024-03-28 08:17:33,939 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:33,995 epoch 88 - iter 1/3 - loss 0.24707031 - time (sec): 0.05 - samples/sec: 6733.72 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,055 epoch 88 - iter 2/3 - loss 0.23523849 - time (sec): 0.12 - samples/sec: 6604.60 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,085 epoch 88 - iter 3/3 - loss 0.23677580 - time (sec): 0.14 - samples/sec: 5381.28 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,087 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,090 EPOCH 88 done: loss 0.2368 - lr: 0.012500
2024-03-28 08:17:34,092  - 2 epochs without improvement
2024-03-28 08:17:34,094 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,160 epoch 89 - iter 1/3 - loss 0.19865647 - time (sec): 0.06 - samples/sec: 6072.55 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,217 epoch 89 - iter 2/3 - loss 0.19523877 - time (sec): 0.12 - samples/sec: 6288.25 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,237 epoch 89 - iter 3/3 - loss 0.19104208 - time (sec): 0.14 - samples/sec: 5563.64 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,238 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,240 EPOCH 89 done: loss 0.1910 - lr: 0.012500
2024-03-28 08:17:34,243  - 0 epochs without improvement
2024-03-28 08:17:34,245 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,306 epoch 90 - iter 1/3 - loss 0.19620704 - time (sec): 0.06 - samples/sec: 6419.78 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,368 epoch 90 - iter 2/3 - loss 0.17684686 - time (sec): 0.12 - samples/sec: 6217.46 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,390 epoch 90 - iter 3/3 - loss 0.17749670 - time (sec): 0.14 - samples/sec: 5458.23 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,391 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,393 EPOCH 90 done: loss 0.1775 - lr: 0.012500
2024-03-28 08:17:34,395  - 0 epochs without improvement
2024-03-28 08:17:34,397 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,457 epoch 91 - iter 1/3 - loss 0.19228190 - time (sec): 0.06 - samples/sec: 6447.86 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,515 epoch 91 - iter 2/3 - loss 0.20531514 - time (sec): 0.12 - samples/sec: 6490.31 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,537 epoch 91 - iter 3/3 - loss 0.20695074 - time (sec): 0.14 - samples/sec: 5656.82 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,538 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,540 EPOCH 91 done: loss 0.2070 - lr: 0.012500
2024-03-28 08:17:34,542  - 1 epochs without improvement
2024-03-28 08:17:34,544 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,602 epoch 92 - iter 1/3 - loss 0.16634049 - time (sec): 0.06 - samples/sec: 6639.18 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,660 epoch 92 - iter 2/3 - loss 0.19392280 - time (sec): 0.11 - samples/sec: 6646.35 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,682 epoch 92 - iter 3/3 - loss 0.19567658 - time (sec): 0.14 - samples/sec: 5731.44 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,683 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,686 EPOCH 92 done: loss 0.1957 - lr: 0.012500
2024-03-28 08:17:34,687  - 2 epochs without improvement
2024-03-28 08:17:34,689 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,749 epoch 93 - iter 1/3 - loss 0.17978833 - time (sec): 0.06 - samples/sec: 6566.63 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,807 epoch 93 - iter 2/3 - loss 0.20635055 - time (sec): 0.12 - samples/sec: 6519.39 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,827 epoch 93 - iter 3/3 - loss 0.20662371 - time (sec): 0.14 - samples/sec: 5702.38 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,828 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,831 EPOCH 93 done: loss 0.2066 - lr: 0.012500
2024-03-28 08:17:34,833  - 3 epochs without improvement
2024-03-28 08:17:34,835 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,892 epoch 94 - iter 1/3 - loss 0.22009468 - time (sec): 0.06 - samples/sec: 6977.97 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,950 epoch 94 - iter 2/3 - loss 0.19526808 - time (sec): 0.11 - samples/sec: 6668.62 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,974 epoch 94 - iter 3/3 - loss 0.19581187 - time (sec): 0.14 - samples/sec: 5677.36 - lr: 0.012500 - momentum: 0.000000
2024-03-28 08:17:34,975 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:34,978 EPOCH 94 done: loss 0.1958 - lr: 0.012500
2024-03-28 08:17:34,980  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.00625]
2024-03-28 08:17:34,982 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,044 epoch 95 - iter 1/3 - loss 0.18881938 - time (sec): 0.06 - samples/sec: 6633.50 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,109 epoch 95 - iter 2/3 - loss 0.18503305 - time (sec): 0.12 - samples/sec: 6145.89 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,130 epoch 95 - iter 3/3 - loss 0.19109647 - time (sec): 0.14 - samples/sec: 5441.13 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,131 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,133 EPOCH 95 done: loss 0.1911 - lr: 0.006250
2024-03-28 08:17:35,135  - 1 epochs without improvement
2024-03-28 08:17:35,138 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,197 epoch 96 - iter 1/3 - loss 0.19843593 - time (sec): 0.06 - samples/sec: 6426.88 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,257 epoch 96 - iter 2/3 - loss 0.18312425 - time (sec): 0.12 - samples/sec: 6414.04 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,279 epoch 96 - iter 3/3 - loss 0.18244145 - time (sec): 0.14 - samples/sec: 5560.01 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,280 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,282 EPOCH 96 done: loss 0.1824 - lr: 0.006250
2024-03-28 08:17:35,286  - 2 epochs without improvement
2024-03-28 08:17:35,287 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,348 epoch 97 - iter 1/3 - loss 0.20857602 - time (sec): 0.06 - samples/sec: 6780.25 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,408 epoch 97 - iter 2/3 - loss 0.19116469 - time (sec): 0.12 - samples/sec: 6454.98 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,429 epoch 97 - iter 3/3 - loss 0.18914039 - time (sec): 0.14 - samples/sec: 5616.90 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,431 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,433 EPOCH 97 done: loss 0.1891 - lr: 0.006250
2024-03-28 08:17:35,436  - 3 epochs without improvement
2024-03-28 08:17:35,438 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,502 epoch 98 - iter 1/3 - loss 0.23781751 - time (sec): 0.06 - samples/sec: 6130.08 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,565 epoch 98 - iter 2/3 - loss 0.21868558 - time (sec): 0.12 - samples/sec: 6091.36 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,584 epoch 98 - iter 3/3 - loss 0.21735064 - time (sec): 0.14 - samples/sec: 5434.38 - lr: 0.006250 - momentum: 0.000000
2024-03-28 08:17:35,585 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,587 EPOCH 98 done: loss 0.2174 - lr: 0.006250
2024-03-28 08:17:35,589  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.003125]
2024-03-28 08:17:35,591 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,653 epoch 99 - iter 1/3 - loss 0.22127676 - time (sec): 0.06 - samples/sec: 6419.01 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:35,710 epoch 99 - iter 2/3 - loss 0.19774291 - time (sec): 0.12 - samples/sec: 6433.50 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:35,733 epoch 99 - iter 3/3 - loss 0.20561802 - time (sec): 0.14 - samples/sec: 5570.65 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:35,735 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,736 EPOCH 99 done: loss 0.2056 - lr: 0.003125
2024-03-28 08:17:35,738  - 1 epochs without improvement
2024-03-28 08:17:35,740 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,801 epoch 100 - iter 1/3 - loss 0.18655163 - time (sec): 0.06 - samples/sec: 6513.37 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:35,859 epoch 100 - iter 2/3 - loss 0.18590422 - time (sec): 0.12 - samples/sec: 6493.98 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:35,880 epoch 100 - iter 3/3 - loss 0.18734643 - time (sec): 0.14 - samples/sec: 5642.01 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:35,881 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,884 EPOCH 100 done: loss 0.1873 - lr: 0.003125
2024-03-28 08:17:35,886  - 2 epochs without improvement
2024-03-28 08:17:35,888 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:35,946 epoch 101 - iter 1/3 - loss 0.18497507 - time (sec): 0.06 - samples/sec: 6812.49 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:36,003 epoch 101 - iter 2/3 - loss 0.20292988 - time (sec): 0.11 - samples/sec: 6699.63 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:36,023 epoch 101 - iter 3/3 - loss 0.19847853 - time (sec): 0.13 - samples/sec: 5843.69 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:36,024 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,027 EPOCH 101 done: loss 0.1985 - lr: 0.003125
2024-03-28 08:17:36,029  - 3 epochs without improvement
2024-03-28 08:17:36,031 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,085 epoch 102 - iter 1/3 - loss 0.21677779 - time (sec): 0.05 - samples/sec: 7216.63 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:36,151 epoch 102 - iter 2/3 - loss 0.19208031 - time (sec): 0.12 - samples/sec: 6392.49 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:36,174 epoch 102 - iter 3/3 - loss 0.18646996 - time (sec): 0.14 - samples/sec: 5540.34 - lr: 0.003125 - momentum: 0.000000
2024-03-28 08:17:36,175 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,178 EPOCH 102 done: loss 0.1865 - lr: 0.003125
2024-03-28 08:17:36,180  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.0015625]
2024-03-28 08:17:36,182 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,243 epoch 103 - iter 1/3 - loss 0.18472762 - time (sec): 0.06 - samples/sec: 6584.36 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,302 epoch 103 - iter 2/3 - loss 0.18829370 - time (sec): 0.12 - samples/sec: 6462.55 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,322 epoch 103 - iter 3/3 - loss 0.18742392 - time (sec): 0.14 - samples/sec: 5686.11 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,323 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,326 EPOCH 103 done: loss 0.1874 - lr: 0.001563
2024-03-28 08:17:36,327  - 1 epochs without improvement
2024-03-28 08:17:36,329 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,390 epoch 104 - iter 1/3 - loss 0.19565391 - time (sec): 0.06 - samples/sec: 6401.74 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,447 epoch 104 - iter 2/3 - loss 0.21678627 - time (sec): 0.12 - samples/sec: 6543.07 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,468 epoch 104 - iter 3/3 - loss 0.21533340 - time (sec): 0.14 - samples/sec: 5701.02 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,470 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,472 EPOCH 104 done: loss 0.2153 - lr: 0.001563
2024-03-28 08:17:36,474  - 2 epochs without improvement
2024-03-28 08:17:36,477 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,534 epoch 105 - iter 1/3 - loss 0.24139055 - time (sec): 0.06 - samples/sec: 6628.07 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,594 epoch 105 - iter 2/3 - loss 0.19628421 - time (sec): 0.11 - samples/sec: 6556.78 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,615 epoch 105 - iter 3/3 - loss 0.20438837 - time (sec): 0.14 - samples/sec: 5695.17 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,618 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,619 EPOCH 105 done: loss 0.2044 - lr: 0.001563
2024-03-28 08:17:36,622  - 3 epochs without improvement
2024-03-28 08:17:36,623 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,687 epoch 106 - iter 1/3 - loss 0.17619250 - time (sec): 0.06 - samples/sec: 6342.17 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,743 epoch 106 - iter 2/3 - loss 0.18974642 - time (sec): 0.12 - samples/sec: 6403.10 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,767 epoch 106 - iter 3/3 - loss 0.18591693 - time (sec): 0.14 - samples/sec: 5503.46 - lr: 0.001563 - momentum: 0.000000
2024-03-28 08:17:36,768 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,770 EPOCH 106 done: loss 0.1859 - lr: 0.001563
2024-03-28 08:17:36,772  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.00078125]
2024-03-28 08:17:36,774 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,830 epoch 107 - iter 1/3 - loss 0.21554148 - time (sec): 0.05 - samples/sec: 7067.66 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:36,887 epoch 107 - iter 2/3 - loss 0.21209757 - time (sec): 0.11 - samples/sec: 6813.65 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:36,907 epoch 107 - iter 3/3 - loss 0.20983675 - time (sec): 0.13 - samples/sec: 5940.56 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:36,909 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,912 EPOCH 107 done: loss 0.2098 - lr: 0.000781
2024-03-28 08:17:36,914  - 1 epochs without improvement
2024-03-28 08:17:36,915 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:36,977 epoch 108 - iter 1/3 - loss 0.21843853 - time (sec): 0.06 - samples/sec: 6524.64 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,038 epoch 108 - iter 2/3 - loss 0.21077139 - time (sec): 0.12 - samples/sec: 6228.78 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,059 epoch 108 - iter 3/3 - loss 0.20723990 - time (sec): 0.14 - samples/sec: 5494.60 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,060 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,063 EPOCH 108 done: loss 0.2072 - lr: 0.000781
2024-03-28 08:17:37,066  - 2 epochs without improvement
2024-03-28 08:17:37,068 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,145 epoch 109 - iter 1/3 - loss 0.17431382 - time (sec): 0.07 - samples/sec: 5054.56 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,205 epoch 109 - iter 2/3 - loss 0.16611994 - time (sec): 0.13 - samples/sec: 5689.71 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,223 epoch 109 - iter 3/3 - loss 0.16398482 - time (sec): 0.15 - samples/sec: 5104.86 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,224 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,227 EPOCH 109 done: loss 0.1640 - lr: 0.000781
2024-03-28 08:17:37,229  - 0 epochs without improvement
2024-03-28 08:17:37,231 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,289 epoch 110 - iter 1/3 - loss 0.27147779 - time (sec): 0.06 - samples/sec: 6577.26 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,346 epoch 110 - iter 2/3 - loss 0.20908261 - time (sec): 0.11 - samples/sec: 6704.49 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,369 epoch 110 - iter 3/3 - loss 0.21284383 - time (sec): 0.14 - samples/sec: 5711.59 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,371 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,373 EPOCH 110 done: loss 0.2128 - lr: 0.000781
2024-03-28 08:17:37,375  - 1 epochs without improvement
2024-03-28 08:17:37,377 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,441 epoch 111 - iter 1/3 - loss 0.18900617 - time (sec): 0.06 - samples/sec: 6298.47 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,497 epoch 111 - iter 2/3 - loss 0.19255448 - time (sec): 0.12 - samples/sec: 6464.05 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,517 epoch 111 - iter 3/3 - loss 0.19542164 - time (sec): 0.14 - samples/sec: 5651.49 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,519 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,521 EPOCH 111 done: loss 0.1954 - lr: 0.000781
2024-03-28 08:17:37,523  - 2 epochs without improvement
2024-03-28 08:17:37,525 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,587 epoch 112 - iter 1/3 - loss 0.18454970 - time (sec): 0.06 - samples/sec: 6334.17 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,645 epoch 112 - iter 2/3 - loss 0.18572440 - time (sec): 0.12 - samples/sec: 6413.27 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,667 epoch 112 - iter 3/3 - loss 0.18872787 - time (sec): 0.14 - samples/sec: 5569.58 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,669 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,671 EPOCH 112 done: loss 0.1887 - lr: 0.000781
2024-03-28 08:17:37,674  - 3 epochs without improvement
2024-03-28 08:17:37,676 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,740 epoch 113 - iter 1/3 - loss 0.19348828 - time (sec): 0.06 - samples/sec: 6026.69 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,795 epoch 113 - iter 2/3 - loss 0.17591515 - time (sec): 0.12 - samples/sec: 6399.02 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,818 epoch 113 - iter 3/3 - loss 0.18235174 - time (sec): 0.14 - samples/sec: 5551.67 - lr: 0.000781 - momentum: 0.000000
2024-03-28 08:17:37,820 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,822 EPOCH 113 done: loss 0.1824 - lr: 0.000781
2024-03-28 08:17:37,824  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.000390625]
2024-03-28 08:17:37,826 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,890 epoch 114 - iter 1/3 - loss 0.23329990 - time (sec): 0.06 - samples/sec: 6421.11 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:37,951 epoch 114 - iter 2/3 - loss 0.22771814 - time (sec): 0.12 - samples/sec: 6225.28 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:37,973 epoch 114 - iter 3/3 - loss 0.22709233 - time (sec): 0.14 - samples/sec: 5409.85 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:37,974 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:37,976 EPOCH 114 done: loss 0.2271 - lr: 0.000391
2024-03-28 08:17:37,979  - 1 epochs without improvement
2024-03-28 08:17:37,980 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,046 epoch 115 - iter 1/3 - loss 0.21371581 - time (sec): 0.06 - samples/sec: 6122.46 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:38,105 epoch 115 - iter 2/3 - loss 0.19490538 - time (sec): 0.12 - samples/sec: 6215.42 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:38,128 epoch 115 - iter 3/3 - loss 0.18961770 - time (sec): 0.14 - samples/sec: 5413.22 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:38,130 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,132 EPOCH 115 done: loss 0.1896 - lr: 0.000391
2024-03-28 08:17:38,134  - 2 epochs without improvement
2024-03-28 08:17:38,136 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,203 epoch 116 - iter 1/3 - loss 0.16786807 - time (sec): 0.07 - samples/sec: 5951.35 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:38,259 epoch 116 - iter 2/3 - loss 0.18683664 - time (sec): 0.12 - samples/sec: 6286.01 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:38,279 epoch 116 - iter 3/3 - loss 0.18722507 - time (sec): 0.14 - samples/sec: 5542.05 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:38,280 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,283 EPOCH 116 done: loss 0.1872 - lr: 0.000391
2024-03-28 08:17:38,285  - 3 epochs without improvement
2024-03-28 08:17:38,287 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,347 epoch 117 - iter 1/3 - loss 0.22430949 - time (sec): 0.06 - samples/sec: 6577.50 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:38,407 epoch 117 - iter 2/3 - loss 0.21241141 - time (sec): 0.12 - samples/sec: 6383.86 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:38,430 epoch 117 - iter 3/3 - loss 0.21188964 - time (sec): 0.14 - samples/sec: 5536.89 - lr: 0.000391 - momentum: 0.000000
2024-03-28 08:17:38,431 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,434 EPOCH 117 done: loss 0.2119 - lr: 0.000391
2024-03-28 08:17:38,435  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.0001953125]
2024-03-28 08:17:38,437 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,499 epoch 118 - iter 1/3 - loss 0.21600228 - time (sec): 0.06 - samples/sec: 6301.27 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:38,558 epoch 118 - iter 2/3 - loss 0.20793136 - time (sec): 0.12 - samples/sec: 6411.80 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:38,580 epoch 118 - iter 3/3 - loss 0.20565627 - time (sec): 0.14 - samples/sec: 5540.23 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:38,581 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,583 EPOCH 118 done: loss 0.2057 - lr: 0.000195
2024-03-28 08:17:38,585  - 1 epochs without improvement
2024-03-28 08:17:38,586 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,648 epoch 119 - iter 1/3 - loss 0.13746908 - time (sec): 0.06 - samples/sec: 6118.53 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:38,713 epoch 119 - iter 2/3 - loss 0.16986392 - time (sec): 0.13 - samples/sec: 6008.22 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:38,735 epoch 119 - iter 3/3 - loss 0.17469668 - time (sec): 0.15 - samples/sec: 5277.41 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:38,736 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,738 EPOCH 119 done: loss 0.1747 - lr: 0.000195
2024-03-28 08:17:38,740  - 2 epochs without improvement
2024-03-28 08:17:38,744 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,808 epoch 120 - iter 1/3 - loss 0.24652521 - time (sec): 0.06 - samples/sec: 6188.83 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:38,864 epoch 120 - iter 2/3 - loss 0.19690087 - time (sec): 0.12 - samples/sec: 6354.36 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:38,886 epoch 120 - iter 3/3 - loss 0.19769450 - time (sec): 0.14 - samples/sec: 5514.84 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:38,888 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,891 EPOCH 120 done: loss 0.1977 - lr: 0.000195
2024-03-28 08:17:38,894  - 3 epochs without improvement
2024-03-28 08:17:38,896 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:38,959 epoch 121 - iter 1/3 - loss 0.18825019 - time (sec): 0.06 - samples/sec: 6082.55 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:39,019 epoch 121 - iter 2/3 - loss 0.18766643 - time (sec): 0.12 - samples/sec: 6193.89 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:39,042 epoch 121 - iter 3/3 - loss 0.18727741 - time (sec): 0.14 - samples/sec: 5400.66 - lr: 0.000195 - momentum: 0.000000
2024-03-28 08:17:39,043 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:39,046 EPOCH 121 done: loss 0.1873 - lr: 0.000195
2024-03-28 08:17:39,048  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [9.765625e-05]
2024-03-28 08:17:39,050 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:39,051 learning rate too small - quitting training!
2024-03-28 08:17:39,053 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:39,055 Saving model ...
2024-03-28 08:17:40,554 Done.
2024-03-28 08:17:40,556 ----------------------------------------------------------------------------------------------------
2024-03-28 08:17:40,559 Testing using last state of model ...
2024-03-28 08:17:40,777 
Results:
- F-score (micro) 0.7778
- F-score (macro) 0.72
- Accuracy 0.6364

By class:
              precision    recall  f1-score   support

        NAME     1.0000    0.6667    0.8000         3
    GCNUMBER     1.0000    0.6667    0.8000         3
    LOCATION     1.0000    1.0000    1.0000         2
         ORG     0.0000    0.0000    0.0000         2
     COUNTRY     1.0000    1.0000    1.0000         1

   micro avg     1.0000    0.6364    0.7778        11
   macro avg     0.8000    0.6667    0.7200        11
weighted avg     0.8182    0.6364    0.7091        11

2024-03-28 08:17:40,779 ----------------------------------------------------------------------------------------------------