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Training in progress epoch 7

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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: 1.6012
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- - Train End Logits Accuracy: 0.6060
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- - Train Start Logits Accuracy: 0.5760
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- - Validation Loss: 1.0431
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- - Validation End Logits Accuracy: 0.7322
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- - Validation Start Logits Accuracy: 0.7264
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- - Epoch: 6
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  ## Model description
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@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
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  | 2.0321 | 0.5186 | 0.4864 | 1.5126 | 0.6289 | 0.6095 | 4 |
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  | 1.8186 | 0.5614 | 0.5319 | 1.2839 | 0.6719 | 0.6647 | 5 |
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  | 1.6012 | 0.6060 | 0.5760 | 1.0431 | 0.7322 | 0.7264 | 6 |
 
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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: 1.3677
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+ - Train End Logits Accuracy: 0.6561
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+ - Train Start Logits Accuracy: 0.6257
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+ - Validation Loss: 0.8193
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+ - Validation End Logits Accuracy: 0.7857
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+ - Validation Start Logits Accuracy: 0.7770
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+ - Epoch: 7
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  ## Model description
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  | 2.0321 | 0.5186 | 0.4864 | 1.5126 | 0.6289 | 0.6095 | 4 |
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  | 1.8186 | 0.5614 | 0.5319 | 1.2839 | 0.6719 | 0.6647 | 5 |
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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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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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