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distilbert_finetune_own_data_model

Token Classification
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distilbert
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End of training

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  1. README.md +33 -33
  2. model.safetensors +1 -1
  3. runs/Mar04_09-57-44_561d3d140928/events.out.tfevents.1709546279.561d3d140928.219.20 +3 -0
  4. runs/Mar04_09-57-44_561d3d140928/events.out.tfevents.1709546291.561d3d140928.219.21 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -43,7 +43,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -53,38 +53,38 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 6 | 0.0473 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 2.0 | 12 | 0.0923 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 3.0 | 18 | 0.1280 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 4.0 | 24 | 0.0946 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 5.0 | 30 | 0.1031 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 6.0 | 36 | 0.0932 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 7.0 | 42 | 0.1013 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 8.0 | 48 | 0.1359 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 9.0 | 54 | 0.1694 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 10.0 | 60 | 0.1933 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 11.0 | 66 | 0.2042 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 12.0 | 72 | 0.1764 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 13.0 | 78 | 0.1350 | 1.0 | 0.875 | 0.9333 | 0.9714 |
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- | No log | 14.0 | 84 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 15.0 | 90 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 16.0 | 96 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 17.0 | 102 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 18.0 | 108 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 19.0 | 114 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 20.0 | 120 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 21.0 | 126 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 22.0 | 132 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 23.0 | 138 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 24.0 | 144 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 25.0 | 150 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 26.0 | 156 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 27.0 | 162 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 28.0 | 168 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 29.0 | 174 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 30.0 | 180 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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  ### Training hyperparameters
44
 
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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  - train_batch_size: 8
48
  - eval_batch_size: 8
49
  - seed: 42
 
53
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | No log | 1.0 | 6 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 2.0 | 12 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 3.0 | 18 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 4.0 | 24 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 5.0 | 30 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 6.0 | 36 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 7.0 | 42 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 8.0 | 48 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 9.0 | 54 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 10.0 | 60 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 11.0 | 66 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 12.0 | 72 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 13.0 | 78 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 14.0 | 84 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 15.0 | 90 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 16.0 | 96 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 17.0 | 102 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 18.0 | 108 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 19.0 | 114 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 20.0 | 120 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 21.0 | 126 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 22.0 | 132 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 23.0 | 138 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 24.0 | 144 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 25.0 | 150 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 26.0 | 156 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 27.0 | 162 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 28.0 | 168 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 29.0 | 174 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 30.0 | 180 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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