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Training in progress epoch 161

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  1. README.md +4 -3
  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: 0.8656
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  - Train Accuracy: 0.1180
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- - Validation Loss: 0.8594
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  - Validation Accuracy: 0.1188
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- - Epoch: 160
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  ## Model description
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@@ -205,6 +205,7 @@ The following hyperparameters were used during training:
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  | 0.8675 | 0.1179 | 0.8804 | 0.1197 | 158 |
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  | 0.8670 | 0.1179 | 0.8462 | 0.1192 | 159 |
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  | 0.8656 | 0.1180 | 0.8594 | 0.1188 | 160 |
 
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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: 0.8649
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  - Train Accuracy: 0.1180
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+ - Validation Loss: 0.8535
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  - Validation Accuracy: 0.1188
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+ - Epoch: 161
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  ## Model description
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  | 0.8675 | 0.1179 | 0.8804 | 0.1197 | 158 |
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  | 0.8670 | 0.1179 | 0.8462 | 0.1192 | 159 |
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  | 0.8656 | 0.1180 | 0.8594 | 0.1188 | 160 |
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+ | 0.8649 | 0.1180 | 0.8535 | 0.1188 | 161 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 499741936
 
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