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Training in progress epoch 266

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  1. README.md +4 -3
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -16,9 +16,9 @@ This model is a fine-tuned version of [roberta-base](https://huggingface.co/robe
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.7834
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  - Train Accuracy: 0.1201
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- - Validation Loss: 0.8193
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- - Validation Accuracy: 0.1193
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- - Epoch: 265
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  ## Model description
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@@ -310,6 +310,7 @@ The following hyperparameters were used during training:
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  | 0.7844 | 0.1200 | 0.8237 | 0.1201 | 263 |
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  | 0.7844 | 0.1200 | 0.8311 | 0.1185 | 264 |
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  | 0.7834 | 0.1201 | 0.8193 | 0.1193 | 265 |
 
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  ### Framework versions
 
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.7834
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  - Train Accuracy: 0.1201
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+ - Validation Loss: 0.8276
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+ - Validation Accuracy: 0.1191
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+ - Epoch: 266
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  ## Model description
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  | 0.7844 | 0.1200 | 0.8237 | 0.1201 | 263 |
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  | 0.7844 | 0.1200 | 0.8311 | 0.1185 | 264 |
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  | 0.7834 | 0.1201 | 0.8193 | 0.1193 | 265 |
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+ | 0.7834 | 0.1201 | 0.8276 | 0.1191 | 266 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 499741936
 
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