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Training in progress epoch 359

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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: 0.7426
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  - Train Accuracy: 0.1211
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- - Validation Loss: 0.8013
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- - Validation Accuracy: 0.1205
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- - Epoch: 358
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  ## Model description
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@@ -403,6 +403,7 @@ The following hyperparameters were used during training:
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  | 0.7439 | 0.1211 | 0.8013 | 0.1203 | 356 |
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  | 0.7437 | 0.1211 | 0.8130 | 0.1204 | 357 |
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  | 0.7426 | 0.1211 | 0.8013 | 0.1205 | 358 |
 
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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: 0.7419
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  - Train Accuracy: 0.1211
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+ - Validation Loss: 0.8003
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+ - Validation Accuracy: 0.1199
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+ - Epoch: 359
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  ## Model description
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  | 0.7439 | 0.1211 | 0.8013 | 0.1203 | 356 |
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  | 0.7437 | 0.1211 | 0.8130 | 0.1204 | 357 |
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  | 0.7426 | 0.1211 | 0.8013 | 0.1205 | 358 |
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+ | 0.7419 | 0.1211 | 0.8003 | 0.1199 | 359 |
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  ### Framework versions
tf_model.h5 CHANGED
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