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Training in progress epoch 12

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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: 0.7520
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- - Train End Logits Accuracy: 0.7904
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- - Train Start Logits Accuracy: 0.7699
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- - Validation Loss: 0.3342
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- - Validation End Logits Accuracy: 0.9048
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- - Validation Start Logits Accuracy: 0.9021
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- - Epoch: 11
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  ## Model description
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@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
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  | 0.9269 | 0.7488 | 0.7270 | 0.4671 | 0.8701 | 0.8700 | 9 |
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  | 0.8354 | 0.7714 | 0.7489 | 0.3836 | 0.8910 | 0.8896 | 10 |
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  | 0.7520 | 0.7904 | 0.7699 | 0.3342 | 0.9048 | 0.9021 | 11 |
 
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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: 0.6869
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+ - Train End Logits Accuracy: 0.8056
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+ - Train Start Logits Accuracy: 0.7848
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+ - Validation Loss: 0.2983
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+ - Validation End Logits Accuracy: 0.9134
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+ - Validation Start Logits Accuracy: 0.9118
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+ - Epoch: 12
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  ## Model description
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  | 0.9269 | 0.7488 | 0.7270 | 0.4671 | 0.8701 | 0.8700 | 9 |
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  | 0.8354 | 0.7714 | 0.7489 | 0.3836 | 0.8910 | 0.8896 | 10 |
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  | 0.7520 | 0.7904 | 0.7699 | 0.3342 | 0.9048 | 0.9021 | 11 |
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+ | 0.6869 | 0.8056 | 0.7848 | 0.2983 | 0.9134 | 0.9118 | 12 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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