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Training in progress epoch 8

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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: 1.3557
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- - Train End Logits Accuracy: 0.6545
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- - Train Start Logits Accuracy: 0.6285
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- - Validation Loss: 0.9167
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- - Validation End Logits Accuracy: 0.7577
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- - Validation Start Logits Accuracy: 0.7491
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- - Epoch: 7
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  ## Model description
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@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
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  | 1.5852 | 0.6070 | 0.5807 | 1.1348 | 0.7053 | 0.6950 | 5 |
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  | 1.4627 | 0.6330 | 0.6039 | 1.0051 | 0.7336 | 0.7269 | 6 |
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  | 1.3557 | 0.6545 | 0.6285 | 0.9167 | 0.7577 | 0.7491 | 7 |
 
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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: 1.2715
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+ - Train End Logits Accuracy: 0.6741
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+ - Train Start Logits Accuracy: 0.6457
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+ - Validation Loss: 0.8508
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+ - Validation End Logits Accuracy: 0.7708
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+ - Validation Start Logits Accuracy: 0.7643
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+ - Epoch: 8
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  ## Model description
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  | 1.5852 | 0.6070 | 0.5807 | 1.1348 | 0.7053 | 0.6950 | 5 |
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  | 1.4627 | 0.6330 | 0.6039 | 1.0051 | 0.7336 | 0.7269 | 6 |
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  | 1.3557 | 0.6545 | 0.6285 | 0.9167 | 0.7577 | 0.7491 | 7 |
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+ | 1.2715 | 0.6741 | 0.6457 | 0.8508 | 0.7708 | 0.7643 | 8 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 54221088
 
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