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Training in progress epoch 461

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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: 0.7137
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  - Train Accuracy: 0.1219
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- - Validation Loss: 0.7886
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- - Validation Accuracy: 0.1227
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- - Epoch: 460
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  ## Model description
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@@ -505,6 +505,7 @@ The following hyperparameters were used during training:
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  | 0.7140 | 0.1219 | 0.7920 | 0.1210 | 458 |
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  | 0.7143 | 0.1219 | 0.7925 | 0.1203 | 459 |
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  | 0.7137 | 0.1219 | 0.7886 | 0.1227 | 460 |
 
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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: 0.7135
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  - Train Accuracy: 0.1219
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+ - Validation Loss: 0.7964
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+ - Validation Accuracy: 0.1206
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+ - Epoch: 461
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  ## Model description
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  | 0.7140 | 0.1219 | 0.7920 | 0.1210 | 458 |
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  | 0.7143 | 0.1219 | 0.7925 | 0.1203 | 459 |
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  | 0.7137 | 0.1219 | 0.7886 | 0.1227 | 460 |
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+ | 0.7135 | 0.1219 | 0.7964 | 0.1206 | 461 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 499741936
 
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