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README.md
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This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.7916 | 1.0 | 609 | 1.
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### Framework versions
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This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6639
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.7916 | 1.0 | 609 | 1.6565 |
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| 1.5865 | 2.0 | 1218 | 1.6524 |
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| 1.4759 | 3.0 | 1827 | 1.5922 |
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| 1.3938 | 4.0 | 2436 | 1.6847 |
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| 1.3161 | 5.0 | 3045 | 1.6620 |
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| 1.2795 | 6.0 | 3654 | 1.7196 |
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| 1.2487 | 7.0 | 4263 | 1.7240 |
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| 1.208 | 8.0 | 4872 | 1.6970 |
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| 1.1789 | 9.0 | 5481 | 1.6785 |
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| 1.1856 | 10.0 | 6090 | 1.6639 |
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### Framework versions
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model.safetensors
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