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README.md
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# medlid-define
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 490 | 0.
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### Framework versions
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# medlid-define
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This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1625
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 490 | 0.2137 |
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| 0.3639 | 2.0 | 980 | 0.1720 |
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| 0.2035 | 3.0 | 1470 | 0.1625 |
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### Framework versions
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