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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: 2.0197
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- - Train End Logits Accuracy: 0.5187
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- - Train Start Logits Accuracy: 0.4879
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- - Validation Loss: 1.6380
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- - Validation End Logits Accuracy: 0.5947
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- - Validation Start Logits Accuracy: 0.5795
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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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  | 2.5007 | 0.4217 | 0.3882 | 2.0728 | 0.5036 | 0.4895 | 1 |
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  | 2.2043 | 0.4835 | 0.4496 | 1.8175 | 0.5578 | 0.5406 | 2 |
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  | 2.0197 | 0.5187 | 0.4879 | 1.6380 | 0.5947 | 0.5795 | 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: 1.8749
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+ - Train End Logits Accuracy: 0.5476
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+ - Train Start Logits Accuracy: 0.5157
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+ - Validation Loss: 1.4806
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+ - Validation End Logits Accuracy: 0.6256
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+ - Validation Start Logits Accuracy: 0.6152
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+ - Epoch: 4
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  ## Model description
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  | 2.5007 | 0.4217 | 0.3882 | 2.0728 | 0.5036 | 0.4895 | 1 |
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  | 2.2043 | 0.4835 | 0.4496 | 1.8175 | 0.5578 | 0.5406 | 2 |
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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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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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