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Training in progress epoch 428

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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: 0.7205
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  - Train Accuracy: 0.1217
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- - Validation Loss: 0.7798
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- - Validation Accuracy: 0.1205
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- - Epoch: 427
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  ## Model description
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@@ -472,6 +472,7 @@ The following hyperparameters were used during training:
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  | 0.7220 | 0.1217 | 0.7720 | 0.1211 | 425 |
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  | 0.7218 | 0.1216 | 0.7979 | 0.1207 | 426 |
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  | 0.7205 | 0.1217 | 0.7798 | 0.1205 | 427 |
 
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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: 0.7215
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  - Train Accuracy: 0.1217
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+ - Validation Loss: 0.7954
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+ - Validation Accuracy: 0.1218
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+ - Epoch: 428
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  ## Model description
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  | 0.7220 | 0.1217 | 0.7720 | 0.1211 | 425 |
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  | 0.7218 | 0.1216 | 0.7979 | 0.1207 | 426 |
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  | 0.7205 | 0.1217 | 0.7798 | 0.1205 | 427 |
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+ | 0.7215 | 0.1217 | 0.7954 | 0.1218 | 428 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 499741936
 
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