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Training in progress epoch 239

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  1. README.md +4 -3
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -16,9 +16,9 @@ This model is a fine-tuned version of [roberta-base](https://huggingface.co/robe
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.7989
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  - Train Accuracy: 0.1196
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- - Validation Loss: 0.8389
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- - Validation Accuracy: 0.1199
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- - Epoch: 238
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  ## Model description
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@@ -283,6 +283,7 @@ The following hyperparameters were used during training:
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  | 0.8006 | 0.1196 | 0.8252 | 0.1195 | 236 |
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  | 0.8005 | 0.1196 | 0.8267 | 0.1196 | 237 |
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  | 0.7989 | 0.1196 | 0.8389 | 0.1199 | 238 |
 
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  ### Framework versions
 
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.7989
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  - Train Accuracy: 0.1196
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+ - Validation Loss: 0.8394
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+ - Validation Accuracy: 0.1185
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+ - Epoch: 239
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  ## Model description
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  | 0.8006 | 0.1196 | 0.8252 | 0.1195 | 236 |
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  | 0.8005 | 0.1196 | 0.8267 | 0.1196 | 237 |
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  | 0.7989 | 0.1196 | 0.8389 | 0.1199 | 238 |
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+ | 0.7989 | 0.1196 | 0.8394 | 0.1185 | 239 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 499741936
 
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