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Training in progress epoch 300

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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: 0.7672
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  - Train Accuracy: 0.1205
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- - Validation Loss: 0.7925
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- - Validation Accuracy: 0.1212
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- - Epoch: 299
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  ## Model description
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@@ -344,6 +344,7 @@ The following hyperparameters were used during training:
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  | 0.7680 | 0.1205 | 0.8105 | 0.1194 | 297 |
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  | 0.7673 | 0.1205 | 0.8003 | 0.1215 | 298 |
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  | 0.7672 | 0.1205 | 0.7925 | 0.1212 | 299 |
 
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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: 0.7661
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  - Train Accuracy: 0.1205
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+ - Validation Loss: 0.8115
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+ - Validation Accuracy: 0.1191
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+ - Epoch: 300
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  ## Model description
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  | 0.7680 | 0.1205 | 0.8105 | 0.1194 | 297 |
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  | 0.7673 | 0.1205 | 0.8003 | 0.1215 | 298 |
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  | 0.7672 | 0.1205 | 0.7925 | 0.1212 | 299 |
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+ | 0.7661 | 0.1205 | 0.8115 | 0.1191 | 300 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 499741936
 
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