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@@ -7,14 +7,14 @@ metrics:
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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_es1_en2
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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_es1_en2
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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:
@@ -26,7 +26,8 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
 
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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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