Training in progress epoch 10
Browse files- README.md +4 -3
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.
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- Validation Loss: 1.
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- Train Accuracy: 0.6757
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- Epoch:
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## Model description
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| 1.8074 | 1.9413 | 0.6486 | 7 |
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| 1.6223 | 1.8444 | 0.6486 | 8 |
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| 1.4909 | 1.7753 | 0.6757 | 9 |
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### Framework versions
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This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.3661
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- Validation Loss: 1.7225
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- Train Accuracy: 0.6757
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- Epoch: 10
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## Model description
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| 1.8074 | 1.9413 | 0.6486 | 7 |
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| 1.6223 | 1.8444 | 0.6486 | 8 |
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| 1.4909 | 1.7753 | 0.6757 | 9 |
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| 1.3661 | 1.7225 | 0.6757 | 10 |
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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 409469344
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version https://git-lfs.github.com/spec/v1
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oid sha256:ece432be6bb06c976e01e0dca04d233f3be0632cdaa8d1bb4c360ee76ce2728f
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size 409469344
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