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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: 2.3220
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- - Train End Logits Accuracy: 0.4566
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- - Train Start Logits Accuracy: 0.4216
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- - Validation Loss: 2.1207
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- - Validation End Logits Accuracy: 0.4947
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- - Validation Start Logits Accuracy: 0.4749
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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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  | 2.4119 | 0.4369 | 0.4017 | 2.1953 | 0.4765 | 0.4559 | 6 |
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  | 2.3562 | 0.4505 | 0.4144 | 2.1406 | 0.4888 | 0.4689 | 7 |
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  | 2.3220 | 0.4566 | 0.4216 | 2.1207 | 0.4947 | 0.4749 | 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: 2.2953
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+ - Train End Logits Accuracy: 0.4633
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+ - Train Start Logits Accuracy: 0.4286
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+ - Validation Loss: 2.1111
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+ - Validation End Logits Accuracy: 0.4964
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+ - Validation Start Logits Accuracy: 0.4762
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+ - Epoch: 9
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  ## Model description
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  | 2.4119 | 0.4369 | 0.4017 | 2.1953 | 0.4765 | 0.4559 | 6 |
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  | 2.3562 | 0.4505 | 0.4144 | 2.1406 | 0.4888 | 0.4689 | 7 |
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  | 2.3220 | 0.4566 | 0.4216 | 2.1207 | 0.4947 | 0.4749 | 8 |
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+ | 2.2953 | 0.4633 | 0.4286 | 2.1111 | 0.4964 | 0.4762 | 9 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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