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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: 1.3990
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- - Train End Logits Accuracy: 0.6574
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- - Train Start Logits Accuracy: 0.6232
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- - Validation Loss: 0.8891
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- - Validation End Logits Accuracy: 0.7744
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- - Validation Start Logits Accuracy: 0.7630
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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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  | 1.8439 | 0.5608 | 0.5265 | 1.3128 | 0.6811 | 0.6639 | 6 |
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  | 1.6214 | 0.6104 | 0.5736 | 1.0714 | 0.7326 | 0.7206 | 7 |
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  | 1.3990 | 0.6574 | 0.6232 | 0.8891 | 0.7744 | 0.7630 | 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: 1.2099
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+ - Train End Logits Accuracy: 0.6982
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+ - Train Start Logits Accuracy: 0.6666
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+ - Validation Loss: 0.7830
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+ - Validation End Logits Accuracy: 0.7964
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+ - Validation Start Logits Accuracy: 0.7852
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+ - Epoch: 9
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  ## Model description
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  | 1.8439 | 0.5608 | 0.5265 | 1.3128 | 0.6811 | 0.6639 | 6 |
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  | 1.6214 | 0.6104 | 0.5736 | 1.0714 | 0.7326 | 0.7206 | 7 |
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  | 1.3990 | 0.6574 | 0.6232 | 0.8891 | 0.7744 | 0.7630 | 8 |
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+ | 1.2099 | 0.6982 | 0.6666 | 0.7830 | 0.7964 | 0.7852 | 9 |
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  ### Framework versions
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