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Training in progress epoch 366

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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: 0.7412
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  - Train Accuracy: 0.1212
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- - Validation Loss: 0.7896
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- - Validation Accuracy: 0.1207
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- - Epoch: 365
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  ## Model description
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@@ -410,6 +410,7 @@ The following hyperparameters were used during training:
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  | 0.7404 | 0.1212 | 0.8052 | 0.1207 | 363 |
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  | 0.7402 | 0.1212 | 0.7993 | 0.1204 | 364 |
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  | 0.7412 | 0.1212 | 0.7896 | 0.1207 | 365 |
 
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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: 0.7404
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  - Train Accuracy: 0.1212
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+ - Validation Loss: 0.8071
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+ - Validation Accuracy: 0.1208
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+ - Epoch: 366
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  ## Model description
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  | 0.7404 | 0.1212 | 0.8052 | 0.1207 | 363 |
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  | 0.7402 | 0.1212 | 0.7993 | 0.1204 | 364 |
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  | 0.7412 | 0.1212 | 0.7896 | 0.1207 | 365 |
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+ | 0.7404 | 0.1212 | 0.8071 | 0.1208 | 366 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 499741936
 
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