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Training in progress epoch 478

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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: 0.7107
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  - Train Accuracy: 0.1220
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- - Validation Loss: 0.7725
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- - Validation Accuracy: 0.1222
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- - Epoch: 477
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  ## Model description
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@@ -522,6 +522,7 @@ The following hyperparameters were used during training:
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  | 0.7109 | 0.1220 | 0.7573 | 0.1208 | 475 |
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  | 0.7099 | 0.1220 | 0.8003 | 0.1201 | 476 |
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  | 0.7107 | 0.1220 | 0.7725 | 0.1222 | 477 |
 
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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: 0.7101
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  - Train Accuracy: 0.1220
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+ - Validation Loss: 0.7881
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+ - Validation Accuracy: 0.1206
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+ - Epoch: 478
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  ## Model description
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  | 0.7109 | 0.1220 | 0.7573 | 0.1208 | 475 |
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  | 0.7099 | 0.1220 | 0.8003 | 0.1201 | 476 |
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  | 0.7107 | 0.1220 | 0.7725 | 0.1222 | 477 |
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+ | 0.7101 | 0.1220 | 0.7881 | 0.1206 | 478 |
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  ### Framework versions
tf_model.h5 CHANGED
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  size 499741936
 
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