bert_training_stats-bert-large-uncased.txt

[{"epoch": 1, "Training Loss": 0.6615003457599395, "Valid. Loss": 1.2415453567706123, "Valid. Accur.": 0.5017347968710573, "Training Time": "4:56:54", "Validation Time": "0:09:54"}]

 BERT model loaded
Number of training sentences: 802,789

 Original:  the matrix
Tokenized BERT:  ['the', 'matrix']
Token IDs BERT:  [1996, 8185]
Max sentence length BERT:  614
Number of training sentences: 84,536

 Original:  other discussions
Tokenized BERT:  ['other', 'discussions']
Token IDs BERT:  [2060, 10287]
Max sentence length BERT:  93

======== Epoch 1 / 1 ========
Training...
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  Average training loss: 0.66
  Training epcoh took: 4:56:54

Running Validation...
  Accuracy: 0.50
  Validation Loss: 1.24
  Validation took: 0:09:54

Training complete!
Total training took 5:06:48 (h:mm:ss)
Number of test sentences: 84,481

Predicting labels for 84,481 test sentences...
    DONE.
Positive samples: 42326 of 84481 (50.10%)
C:\ProgramData\Anaconda3\envs\nlu\lib\site-packages\sklearn\metrics\classification.py:872: RuntimeWarning: invalid value encountered in double_scalars
  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)
eval summary:  {'mcc': 0.0, 'tp': 0, 'tn': 42155, 'fp': 0, 'fn': 42326}
Traceback (most recent call last):