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Training in progress epoch 464

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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: 0.7125
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  - Train Accuracy: 0.1219
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- - Validation Loss: 0.7837
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- - Validation Accuracy: 0.1208
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- - Epoch: 463
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  ## Model description
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@@ -508,6 +508,7 @@ The following hyperparameters were used during training:
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  | 0.7135 | 0.1219 | 0.7964 | 0.1206 | 461 |
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  | 0.7128 | 0.1219 | 0.7969 | 0.1207 | 462 |
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  | 0.7125 | 0.1219 | 0.7837 | 0.1208 | 463 |
 
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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: 0.7134
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  - Train Accuracy: 0.1219
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+ - Validation Loss: 0.7788
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+ - Validation Accuracy: 0.1219
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+ - Epoch: 464
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  ## Model description
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  | 0.7135 | 0.1219 | 0.7964 | 0.1206 | 461 |
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  | 0.7128 | 0.1219 | 0.7969 | 0.1207 | 462 |
510
  | 0.7125 | 0.1219 | 0.7837 | 0.1208 | 463 |
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+ | 0.7134 | 0.1219 | 0.7788 | 0.1219 | 464 |
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  ### Framework versions
tf_model.h5 CHANGED
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  size 499741936
 
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