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Training in progress epoch 4

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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: 2.6351
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- - Train End Logits Accuracy: 0.3920
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- - Train Start Logits Accuracy: 0.3568
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- - Validation Loss: 2.4256
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- - Validation End Logits Accuracy: 0.4286
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- - Validation Start Logits Accuracy: 0.4008
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- - Epoch: 3
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  ## Model description
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@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
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  | 2.9538 | 0.3373 | 0.2952 | 2.6908 | 0.3760 | 0.3455 | 1 |
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  | 2.7599 | 0.3690 | 0.3326 | 2.5323 | 0.4072 | 0.3820 | 2 |
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  | 2.6351 | 0.3920 | 0.3568 | 2.4256 | 0.4286 | 0.4008 | 3 |
 
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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: 2.5472
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+ - Train End Logits Accuracy: 0.4089
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+ - Train Start Logits Accuracy: 0.3742
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+ - Validation Loss: 2.3283
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+ - Validation End Logits Accuracy: 0.4498
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+ - Validation Start Logits Accuracy: 0.4264
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+ - Epoch: 4
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  ## Model description
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  | 2.9538 | 0.3373 | 0.2952 | 2.6908 | 0.3760 | 0.3455 | 1 |
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  | 2.7599 | 0.3690 | 0.3326 | 2.5323 | 0.4072 | 0.3820 | 2 |
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  | 2.6351 | 0.3920 | 0.3568 | 2.4256 | 0.4286 | 0.4008 | 3 |
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+ | 2.5472 | 0.4089 | 0.3742 | 2.3283 | 0.4498 | 0.4264 | 4 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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