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Training in progress epoch 2

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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: 3.0501
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- - Train End Logits Accuracy: 0.3257
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- - Train Start Logits Accuracy: 0.2954
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- - Validation Loss: 2.5522
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- - Validation End Logits Accuracy: 0.4171
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- - Validation Start Logits Accuracy: 0.3859
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- - Epoch: 1
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  ## Model description
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@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 3.8593 | 0.1838 | 0.1690 | 2.9074 | 0.3506 | 0.3319 | 0 |
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  | 3.0501 | 0.3257 | 0.2954 | 2.5522 | 0.4171 | 0.3859 | 1 |
 
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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: 2.7183
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+ - Train End Logits Accuracy: 0.3845
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+ - Train Start Logits Accuracy: 0.3534
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+ - Validation Loss: 2.2123
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+ - Validation End Logits Accuracy: 0.4803
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+ - Validation Start Logits Accuracy: 0.4547
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 3.8593 | 0.1838 | 0.1690 | 2.9074 | 0.3506 | 0.3319 | 0 |
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  | 3.0501 | 0.3257 | 0.2954 | 2.5522 | 0.4171 | 0.3859 | 1 |
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+ | 2.7183 | 0.3845 | 0.3534 | 2.2123 | 0.4803 | 0.4547 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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