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bert-cased

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  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [hung200504/bert-21](https://huggingface.co/hung200504/bert-21) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 11.0679
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 10.8616 | 0.09 | 5 | 11.8092 |
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- | 10.8731 | 0.18 | 10 | 11.6719 |
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- | 10.3768 | 0.27 | 15 | 11.5476 |
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- | 10.4054 | 0.36 | 20 | 11.4385 |
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- | 10.3182 | 0.45 | 25 | 11.3427 |
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- | 10.2836 | 0.55 | 30 | 11.2612 |
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- | 9.5246 | 0.64 | 35 | 11.1941 |
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- | 10.1253 | 0.73 | 40 | 11.1418 |
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- | 9.6552 | 0.82 | 45 | 11.1033 |
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- | 9.5857 | 0.91 | 50 | 11.0784 |
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- | 9.3456 | 1.0 | 55 | 11.0679 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [hung200504/bert-21](https://huggingface.co/hung200504/bert-21) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 11.7886
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-07
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 10.9038 | 0.09 | 5 | 11.9125 |
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+ | 11.0402 | 0.18 | 10 | 11.8894 |
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+ | 10.6622 | 0.27 | 15 | 11.8688 |
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+ | 10.8103 | 0.36 | 20 | 11.8506 |
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+ | 10.8199 | 0.45 | 25 | 11.8350 |
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+ | 10.8686 | 0.55 | 30 | 11.8212 |
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+ | 10.1809 | 0.64 | 35 | 11.8099 |
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+ | 10.8401 | 0.73 | 40 | 11.8011 |
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+ | 10.4191 | 0.82 | 45 | 11.7948 |
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+ | 10.3479 | 0.91 | 50 | 11.7906 |
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+ | 10.1366 | 1.0 | 55 | 11.7886 |
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  ### Framework versions
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