Update README.md

README.md

@@ -33,7 +33,7 @@ This way, the model learns an inner representation of the English language that
 useful for downstream tasks: if you have a dataset of labeled sentences for instance, you can train a standard
 classifier using the features produced by the BERT model as inputs.
 
-## Model description [xaqren/sentiment_analysis]
+## Model description [sbcBI/sentiment_analysis]
 
 This is a fine-tuned downstream version of the bert-base-uncased model for sentiment analysis, this model is not intended for
 further downstream fine-tuning for any other tasks. This model is trained on a classified dataset for text-classification.