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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: 1.1450
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- - Train End Logits Accuracy: 0.7023
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- - Train Start Logits Accuracy: 0.6765
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- - Validation Loss: 0.6373
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- - Validation End Logits Accuracy: 0.8275
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- - Validation Start Logits Accuracy: 0.8215
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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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  | 1.6012 | 0.6060 | 0.5760 | 1.0431 | 0.7322 | 0.7264 | 6 |
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  | 1.3677 | 0.6561 | 0.6257 | 0.8193 | 0.7857 | 0.7770 | 7 |
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  | 1.1450 | 0.7023 | 0.6765 | 0.6373 | 0.8275 | 0.8215 | 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: 0.9748
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+ - Train End Logits Accuracy: 0.7441
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+ - Train Start Logits Accuracy: 0.7181
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+ - Validation Loss: 0.5570
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+ - Validation End Logits Accuracy: 0.8476
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+ - Validation Start Logits Accuracy: 0.8405
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+ - Epoch: 9
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  ## Model description
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  | 1.6012 | 0.6060 | 0.5760 | 1.0431 | 0.7322 | 0.7264 | 6 |
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  | 1.3677 | 0.6561 | 0.6257 | 0.8193 | 0.7857 | 0.7770 | 7 |
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  | 1.1450 | 0.7023 | 0.6765 | 0.6373 | 0.8275 | 0.8215 | 8 |
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+ | 0.9748 | 0.7441 | 0.7181 | 0.5570 | 0.8476 | 0.8405 | 9 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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