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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: 1.2931
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- - Train End Logits Accuracy: 0.6694
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- - Train Start Logits Accuracy: 0.6423
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- - Validation Loss: 0.7622
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- - Validation End Logits Accuracy: 0.7920
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- - Validation Start Logits Accuracy: 0.7916
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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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  | 1.6192 | 0.5963 | 0.5677 | 1.0973 | 0.7105 | 0.7030 | 4 |
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  | 1.4482 | 0.6341 | 0.6066 | 0.8998 | 0.7637 | 0.7547 | 5 |
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  | 1.2931 | 0.6694 | 0.6423 | 0.7622 | 0.7920 | 0.7916 | 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: 1.1518
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+ - Train End Logits Accuracy: 0.6980
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+ - Train Start Logits Accuracy: 0.6741
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+ - Validation Loss: 0.6412
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+ - Validation End Logits Accuracy: 0.8260
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+ - Validation Start Logits Accuracy: 0.8197
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+ - Epoch: 7
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  ## Model description
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  | 1.6192 | 0.5963 | 0.5677 | 1.0973 | 0.7105 | 0.7030 | 4 |
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  | 1.4482 | 0.6341 | 0.6066 | 0.8998 | 0.7637 | 0.7547 | 5 |
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  | 1.2931 | 0.6694 | 0.6423 | 0.7622 | 0.7920 | 0.7916 | 6 |
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+ | 1.1518 | 0.6980 | 0.6741 | 0.6412 | 0.8260 | 0.8197 | 7 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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