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Training in progress epoch 13
Browse files- README.md +8 -7
- tf_model.h5 +1 -1
README.md
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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: 0.
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- Train End Logits Accuracy: 0.
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- Train Start Logits Accuracy: 0.
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- Validation Loss: 0.
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- Validation End Logits Accuracy: 0.
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- Validation Start Logits Accuracy: 0.
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- Epoch:
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## Model description
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@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
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| 1.1103 | 0.7149 | 0.6867 | 0.5707 | 0.8407 | 0.8374 | 10 |
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| 0.9500 | 0.7493 | 0.7214 | 0.4523 | 0.8761 | 0.8660 | 11 |
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| 0.7931 | 0.7855 | 0.7606 | 0.3483 | 0.9018 | 0.8924 | 12 |
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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: 0.6702
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- Train End Logits Accuracy: 0.8166
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- Train Start Logits Accuracy: 0.7889
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- Validation Loss: 0.2710
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- Validation End Logits Accuracy: 0.9236
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- Validation Start Logits Accuracy: 0.9152
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- Epoch: 13
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## Model description
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| 1.1103 | 0.7149 | 0.6867 | 0.5707 | 0.8407 | 0.8374 | 10 |
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| 0.9500 | 0.7493 | 0.7214 | 0.4523 | 0.8761 | 0.8660 | 11 |
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| 0.7931 | 0.7855 | 0.7606 | 0.3483 | 0.9018 | 0.8924 | 12 |
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| 0.6702 | 0.8166 | 0.7889 | 0.2710 | 0.9236 | 0.9152 | 13 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 54221088
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version https://git-lfs.github.com/spec/v1
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oid sha256:d7e27f751d177e6d658266a9cdf9a096c2e43a601404b67d4a833f2ccdedfc32
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size 54221088
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