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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: 2.0640
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- - Train End Logits Accuracy: 0.5162
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- - Train Start Logits Accuracy: 0.4814
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- - Validation Loss: 1.5610
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- - Validation End Logits Accuracy: 0.6207
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- - Validation Start Logits Accuracy: 0.6037
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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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  | 2.4780 | 0.4325 | 0.4004 | 1.9826 | 0.5248 | 0.5046 | 3 |
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  | 2.2672 | 0.4747 | 0.4389 | 1.8034 | 0.5660 | 0.5425 | 4 |
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  | 2.0640 | 0.5162 | 0.4814 | 1.5610 | 0.6207 | 0.6037 | 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: 1.8439
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+ - Train End Logits Accuracy: 0.5608
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+ - Train Start Logits Accuracy: 0.5265
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+ - Validation Loss: 1.3128
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+ - Validation End Logits Accuracy: 0.6811
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+ - Validation Start Logits Accuracy: 0.6639
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+ - Epoch: 6
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  ## Model description
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  | 2.4780 | 0.4325 | 0.4004 | 1.9826 | 0.5248 | 0.5046 | 3 |
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  | 2.2672 | 0.4747 | 0.4389 | 1.8034 | 0.5660 | 0.5425 | 4 |
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  | 2.0640 | 0.5162 | 0.4814 | 1.5610 | 0.6207 | 0.6037 | 5 |
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+ | 1.8439 | 0.5608 | 0.5265 | 1.3128 | 0.6811 | 0.6639 | 6 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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