Update README.md

README.md

@@ -14,7 +14,7 @@ library_name: transformers
 pipeline_tag: token-classification
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-# Model Card for SpaBERT for Semantic Role Labeling (cased)
+# Model Card for SpaBERT-enpt for Semantic Role Labeling (cased)
 
 This model is fine-tuned on a version of [multilingual BERT](https://huggingface.co/bert-base-multilingual-cased) which is pre-trained on the SRL task for English and Portuguese, and is one of 24 models introduced as part of [this project](https://github.com/mbruton0426/GalicianSRL). 
 
@@ -22,7 +22,7 @@ This model is fine-tuned on a version of [multilingual BERT](https://huggingface
 
 ### Model Description
 
-SpaBERT for Semantic Role Labeling (SRL) is a transformers model, leveraging mBERT's extensive pretraining on 104 languages to achieve better SRL predictions for Spanish. This model is additionally pre-trained on the SRL task for English and Portuguese. It was fine-tuned on Spanish with the following objectives: 
+SpaBERT-enpt for Semantic Role Labeling (SRL) is a transformers model, leveraging mBERT's extensive pretraining on 104 languages to achieve better SRL predictions for Spanish. This model is additionally pre-trained on the SRL task for English and Portuguese. It was fine-tuned on Spanish with the following objectives: 
 
 - Identify up to 16 verbal roots within a sentence.
 - Identify available arguments and thematic roles for each verbal root.