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Training in progress epoch 261

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  1. README.md +5 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.7857
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  - Train Accuracy: 0.1200
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- - Validation Loss: 0.8379
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- - Validation Accuracy: 0.1198
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- - Epoch: 260
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  ## Model description
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@@ -305,6 +305,7 @@ The following hyperparameters were used during training:
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  | 0.7872 | 0.1199 | 0.8188 | 0.1198 | 258 |
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  | 0.7866 | 0.1200 | 0.8174 | 0.1198 | 259 |
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  | 0.7857 | 0.1200 | 0.8379 | 0.1198 | 260 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.7859
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  - Train Accuracy: 0.1200
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+ - Validation Loss: 0.8174
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+ - Validation Accuracy: 0.1204
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+ - Epoch: 261
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  ## Model description
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  | 0.7872 | 0.1199 | 0.8188 | 0.1198 | 258 |
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  | 0.7866 | 0.1200 | 0.8174 | 0.1198 | 259 |
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  | 0.7857 | 0.1200 | 0.8379 | 0.1198 | 260 |
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+ | 0.7859 | 0.1200 | 0.8174 | 0.1204 | 261 |
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  ### Framework versions
tf_model.h5 CHANGED
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