Training in progress epoch 7
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- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) 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 Accuracy: 0.
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- Validation Loss: 0.
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- Validation Accuracy: 0.9877
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- Epoch:
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## Model description
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| 0.1738 | 0.9385 | 0.0592 | 0.9877 | 4 |
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| 0.1661 | 0.9405 | 0.0592 | 0.9877 | 5 |
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| 0.1646 | 0.9395 | 0.0590 | 0.9877 | 6 |
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### Framework versions
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1698
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- Train Accuracy: 0.9359
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- Validation Loss: 0.0592
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- Validation Accuracy: 0.9877
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- Epoch: 7
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## Model description
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| 0.1738 | 0.9385 | 0.0592 | 0.9877 | 4 |
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| 0.1661 | 0.9405 | 0.0592 | 0.9877 | 5 |
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| 0.1646 | 0.9395 | 0.0590 | 0.9877 | 6 |
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| 0.1698 | 0.9359 | 0.0592 | 0.9877 | 7 |
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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 1334873132
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version https://git-lfs.github.com/spec/v1
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oid sha256:b47b6602717bc0f93ba2b7b734efd162f63d7ebece9d28f4d4766c54e75729b3
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size 1334873132
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