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Training in progress epoch 7

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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: 2.5985
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- - Train End Logits Accuracy: 0.3968
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- - Train Start Logits Accuracy: 0.3628
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- - Validation Loss: 2.4328
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- - Validation End Logits Accuracy: 0.4286
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- - Validation Start Logits Accuracy: 0.4026
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- - Epoch: 6
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  ## Model description
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@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
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  | 2.7039 | 0.3811 | 0.3432 | 2.5304 | 0.4095 | 0.3853 | 4 |
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  | 2.6457 | 0.3903 | 0.3564 | 2.4704 | 0.4212 | 0.3956 | 5 |
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  | 2.5985 | 0.3968 | 0.3628 | 2.4328 | 0.4286 | 0.4026 | 6 |
 
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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: 2.5628
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+ - Train End Logits Accuracy: 0.4050
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+ - Train Start Logits Accuracy: 0.3678
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+ - Validation Loss: 2.3987
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+ - Validation End Logits Accuracy: 0.4343
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+ - Validation Start Logits Accuracy: 0.4117
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+ - Epoch: 7
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  ## Model description
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  | 2.7039 | 0.3811 | 0.3432 | 2.5304 | 0.4095 | 0.3853 | 4 |
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  | 2.6457 | 0.3903 | 0.3564 | 2.4704 | 0.4212 | 0.3956 | 5 |
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  | 2.5985 | 0.3968 | 0.3628 | 2.4328 | 0.4286 | 0.4026 | 6 |
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+ | 2.5628 | 0.4050 | 0.3678 | 2.3987 | 0.4343 | 0.4117 | 7 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 54221088
 
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