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Training in progress epoch 391

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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: 0.7319
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  - Train Accuracy: 0.1214
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- - Validation Loss: 0.7788
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- - Validation Accuracy: 0.1208
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- - Epoch: 390
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  ## Model description
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@@ -435,6 +435,7 @@ The following hyperparameters were used during training:
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  | 0.7330 | 0.1214 | 0.7817 | 0.1203 | 388 |
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  | 0.7334 | 0.1214 | 0.8193 | 0.1215 | 389 |
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  | 0.7319 | 0.1214 | 0.7788 | 0.1208 | 390 |
 
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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: 0.7319
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  - Train Accuracy: 0.1214
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+ - Validation Loss: 0.8042
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+ - Validation Accuracy: 0.1203
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+ - Epoch: 391
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  ## Model description
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  | 0.7330 | 0.1214 | 0.7817 | 0.1203 | 388 |
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  | 0.7334 | 0.1214 | 0.8193 | 0.1215 | 389 |
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  | 0.7319 | 0.1214 | 0.7788 | 0.1208 | 390 |
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+ | 0.7319 | 0.1214 | 0.8042 | 0.1203 | 391 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 499741936
 
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