AppleTree2017
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NHS-BiomedNLP-BiomedBERT-hypop
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README.md
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This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract) 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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- Accuracy: 0.
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- Precision: 0.
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- Recall: 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 [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4277
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- Accuracy: 0.8293
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- Precision: 0.8301
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- Recall: 0.8375
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- F1: 0.8285
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## Model description
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runs/Apr26_00-33-22_NCATS-2265430-P/events.out.tfevents.1714166433.NCATS-2265430-P.22048.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:d375500e86e5336d9bbc745b394ca0b8bd3d471843973548daecfb2b33089480
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size 560
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