Stiven Lancheros
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Update README.md
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README.md
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmis-lab/biobert-base-cased-v1.2) on the None dataset.
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It achieves the following results on the evaluation set:
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## Model description
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## Intended uses & limitations
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- f1
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- accuracy
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model-index:
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- name: Biobert-base-cased-v1.2-finetuned-ner-CRAFT
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Biobert-base-cased-v1.2-finetuned-ner-CRAFT
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This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmis-lab/biobert-base-cased-v1.2) on the None dataset.
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It achieves the following results on the evaluation set:
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## Model description
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This model performs Named Entity Recognition for 6 entity tags: Sequence, Cell, Protein, Gene, Taxon, and Chemical from the [CRAFT](https://github.com/UCDenver-ccp/CRAFT/releases)(Colorado Richly Annotated Full Text) Corpus in English.
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Entity tags have been normalized and replaced from the original three letter code to a full name e.g. B-Protein, I-Chemical.
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## Intended uses & limitations
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