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Training in progress epoch 14

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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: 0.6702
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- - Train End Logits Accuracy: 0.8166
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- - Train Start Logits Accuracy: 0.7889
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- - Validation Loss: 0.2710
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- - Validation End Logits Accuracy: 0.9236
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- - Validation Start Logits Accuracy: 0.9152
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- - Epoch: 13
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  ## Model description
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@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
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  | 0.9500 | 0.7493 | 0.7214 | 0.4523 | 0.8761 | 0.8660 | 11 |
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  | 0.7931 | 0.7855 | 0.7606 | 0.3483 | 0.9018 | 0.8924 | 12 |
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  | 0.6702 | 0.8166 | 0.7889 | 0.2710 | 0.9236 | 0.9152 | 13 |
 
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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: 0.5725
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+ - Train End Logits Accuracy: 0.8401
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+ - Train Start Logits Accuracy: 0.8151
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+ - Validation Loss: 0.2404
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+ - Validation End Logits Accuracy: 0.9316
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+ - Validation Start Logits Accuracy: 0.9222
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+ - Epoch: 14
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  ## Model description
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  | 0.9500 | 0.7493 | 0.7214 | 0.4523 | 0.8761 | 0.8660 | 11 |
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  | 0.7931 | 0.7855 | 0.7606 | 0.3483 | 0.9018 | 0.8924 | 12 |
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  | 0.6702 | 0.8166 | 0.7889 | 0.2710 | 0.9236 | 0.9152 | 13 |
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+ | 0.5725 | 0.8401 | 0.8151 | 0.2404 | 0.9316 | 0.9222 | 14 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 54221088
 
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