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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: 1.7536
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- - Train End Logits Accuracy: 0.5717
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- - Train Start Logits Accuracy: 0.5421
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- - Validation Loss: 1.3605
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- - Validation End Logits Accuracy: 0.6524
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- - Validation Start Logits Accuracy: 0.6404
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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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  | 2.0197 | 0.5187 | 0.4879 | 1.6380 | 0.5947 | 0.5795 | 3 |
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  | 1.8749 | 0.5476 | 0.5157 | 1.4806 | 0.6256 | 0.6152 | 4 |
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  | 1.7536 | 0.5717 | 0.5421 | 1.3605 | 0.6524 | 0.6404 | 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: 1.6484
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+ - Train End Logits Accuracy: 0.5931
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+ - Train Start Logits Accuracy: 0.5631
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+ - Validation Loss: 1.2566
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+ - Validation End Logits Accuracy: 0.6796
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+ - Validation Start Logits Accuracy: 0.6667
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+ - Epoch: 6
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  ## Model description
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  | 2.0197 | 0.5187 | 0.4879 | 1.6380 | 0.5947 | 0.5795 | 3 |
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  | 1.8749 | 0.5476 | 0.5157 | 1.4806 | 0.6256 | 0.6152 | 4 |
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  | 1.7536 | 0.5717 | 0.5421 | 1.3605 | 0.6524 | 0.6404 | 5 |
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+ | 1.6484 | 0.5931 | 0.5631 | 1.2566 | 0.6796 | 0.6667 | 6 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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