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Training in progress epoch 331

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  1. README.md +5 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ 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: 0.7536
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- - Train Accuracy: 0.1209
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- - Validation Loss: 0.8184
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- - Validation Accuracy: 0.1205
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- - Epoch: 330
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  ## Model description
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@@ -375,6 +375,7 @@ The following hyperparameters were used during training:
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  | 0.7542 | 0.1208 | 0.8096 | 0.1203 | 328 |
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  | 0.7540 | 0.1208 | 0.7949 | 0.1209 | 329 |
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  | 0.7536 | 0.1209 | 0.8184 | 0.1205 | 330 |
 
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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: 0.7536
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+ - Train Accuracy: 0.1208
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+ - Validation Loss: 0.8013
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+ - Validation Accuracy: 0.1209
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+ - Epoch: 331
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  ## Model description
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375
  | 0.7542 | 0.1208 | 0.8096 | 0.1203 | 328 |
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  | 0.7540 | 0.1208 | 0.7949 | 0.1209 | 329 |
377
  | 0.7536 | 0.1209 | 0.8184 | 0.1205 | 330 |
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+ | 0.7536 | 0.1208 | 0.8013 | 0.1209 | 331 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 499741936
 
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