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Training in progress epoch 6

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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: 1.5852
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- - Train End Logits Accuracy: 0.6070
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- - Train Start Logits Accuracy: 0.5807
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- - Validation Loss: 1.1348
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- - Validation End Logits Accuracy: 0.7053
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- - Validation Start Logits Accuracy: 0.6950
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- - Epoch: 5
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  ## Model description
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@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
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  | 1.9002 | 0.5421 | 0.5122 | 1.4655 | 0.6276 | 0.6173 | 3 |
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  | 1.7347 | 0.5741 | 0.5496 | 1.2668 | 0.6755 | 0.6654 | 4 |
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  | 1.5852 | 0.6070 | 0.5807 | 1.1348 | 0.7053 | 0.6950 | 5 |
 
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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: 1.4627
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+ - Train End Logits Accuracy: 0.6330
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+ - Train Start Logits Accuracy: 0.6039
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+ - Validation Loss: 1.0051
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+ - Validation End Logits Accuracy: 0.7336
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+ - Validation Start Logits Accuracy: 0.7269
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+ - Epoch: 6
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  ## Model description
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  | 1.9002 | 0.5421 | 0.5122 | 1.4655 | 0.6276 | 0.6173 | 3 |
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  | 1.7347 | 0.5741 | 0.5496 | 1.2668 | 0.6755 | 0.6654 | 4 |
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  | 1.5852 | 0.6070 | 0.5807 | 1.1348 | 0.7053 | 0.6950 | 5 |
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+ | 1.4627 | 0.6330 | 0.6039 | 1.0051 | 0.7336 | 0.7269 | 6 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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