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Training in progress epoch 9

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  1. README.md +8 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.4907
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- - Train End Logits Accuracy: 0.6288
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- - Train Start Logits Accuracy: 0.5993
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- - Validation Loss: 1.1223
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- - Validation End Logits Accuracy: 0.7084
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- - Validation Start Logits Accuracy: 0.6998
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- - Epoch: 8
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  ## Model description
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@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
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  | 1.6484 | 0.5931 | 0.5631 | 1.2566 | 0.6796 | 0.6667 | 6 |
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  | 1.5646 | 0.6133 | 0.5839 | 1.1845 | 0.6976 | 0.6855 | 7 |
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  | 1.4907 | 0.6288 | 0.5993 | 1.1223 | 0.7084 | 0.6998 | 8 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.4462
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+ - Train End Logits Accuracy: 0.6364
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+ - Train Start Logits Accuracy: 0.6099
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+ - Validation Loss: 1.1013
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+ - Validation End Logits Accuracy: 0.7152
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+ - Validation Start Logits Accuracy: 0.7045
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+ - Epoch: 9
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  ## Model description
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  | 1.6484 | 0.5931 | 0.5631 | 1.2566 | 0.6796 | 0.6667 | 6 |
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  | 1.5646 | 0.6133 | 0.5839 | 1.1845 | 0.6976 | 0.6855 | 7 |
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  | 1.4907 | 0.6288 | 0.5993 | 1.1223 | 0.7084 | 0.6998 | 8 |
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+ | 1.4462 | 0.6364 | 0.6099 | 1.1013 | 0.7152 | 0.7045 | 9 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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