medbioinformatics/biobert-v1.1-text-classifier
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README.md
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This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2774
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- Precision: 0.9107
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- Recall: 0.9072
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- Accuracy: 0.9072
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- F1: 0.9074
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## Model description
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runs/Feb16_08-57-01_1840cdbf14a3/events.out.tfevents.1708074737.1840cdbf14a3.743.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:9536598f4816025ffb8cc98caf34f004e61474bd22ce3bb9a82dd693d948c638
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size 560
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