Update README.md

README.md

@@ -8,16 +8,16 @@ metrics:
 - f1
 - accuracy
 model-index:
-- name: roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT-finetuned-ner-CRAFT_en_es
+- name: Roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_en_es
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT-finetuned-ner-CRAFT_en_es
+# Roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_en_es
 
-This model is a fine-tuned version of [StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT](https://huggingface.co/StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT) on the None dataset.
+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.
 It achieves the following results on the evaluation set:
 - Loss: 0.1750
 - Precision: 0.8664
@@ -27,7 +27,8 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+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 Spanish and English. 
+Entity tags have been normalized and replaced from the original three letter code to a full name e.g. B-Protein, I-Chemical.
 
 ## Intended uses & limitations
 
@@ -37,7 +38,7 @@ More information needed
 
 More information needed
 
-## Training procedure
+
 
 ### Training hyperparameters