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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: 2.0404
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- - Train End Logits Accuracy: 0.5101
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- - Train Start Logits Accuracy: 0.4814
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- - Validation Loss: 1.7279
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- - Validation End Logits Accuracy: 0.5752
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- - Validation Start Logits Accuracy: 0.5598
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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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  | 2.2600 | 0.4678 | 0.4373 | 1.9512 | 0.5271 | 0.5112 | 3 |
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  | 2.1384 | 0.4927 | 0.4626 | 1.8342 | 0.5512 | 0.5353 | 4 |
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  | 2.0404 | 0.5101 | 0.4814 | 1.7279 | 0.5752 | 0.5598 | 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: 1.9575
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+ - Train End Logits Accuracy: 0.5275
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+ - Train Start Logits Accuracy: 0.4978
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+ - Validation Loss: 1.6628
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+ - Validation End Logits Accuracy: 0.5890
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+ - Validation Start Logits Accuracy: 0.5718
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+ - Epoch: 6
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  ## Model description
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  | 2.2600 | 0.4678 | 0.4373 | 1.9512 | 0.5271 | 0.5112 | 3 |
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  | 2.1384 | 0.4927 | 0.4626 | 1.8342 | 0.5512 | 0.5353 | 4 |
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  | 2.0404 | 0.5101 | 0.4814 | 1.7279 | 0.5752 | 0.5598 | 5 |
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+ | 1.9575 | 0.5275 | 0.4978 | 1.6628 | 0.5890 | 0.5718 | 6 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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