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  # roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_Augmented_ES
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- This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-biomedical-clinical-es](https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-clinical-es) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2224
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  - Precision: 0.8298
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  ## Model description
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- More information needed
 
 
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  ## Intended uses & limitations
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  # roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_Augmented_ES
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+ This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-biomedical-clinical-es](https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-clinical-es) on the CRAFT dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2224
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  - Precision: 0.8298
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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(Colorado Richly Annotated Full Text) Corpus in English. 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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+ This model is trained on augmented data created using Entity Replacement. 20% of the entities were replaced using a list of entities for each entity tag obtained from the official ontologies for each entity class. Three datasets (original, augmented, MT translated CRAFT) were concatenated.
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  ## Intended uses & limitations
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