Update README.md

README.md

@@ -37,13 +37,6 @@ It achieves the following results on the evaluation set:
 The purpose of this model is to analyze Arabic review texts and predict the appropriate rating for them, based on the sentiment and content of the review. 
 This can be particularly useful in tasks such as sentiment analysis, customer feedback analysis, or any application where understanding the sentiment conveyed in an Arabic textual review is important.
 
-The labels associated with the ratings are `LABEL_0`, `LABEL_1`, `LABEL_2`, `LABEL_3`, and `LABEL_4`. These labels can be interpreted as follows:
-
-- `LABEL_0`: Poor
-- `LABEL_1`: Fair
-- `LABEL_2`: Good
-- `LABEL_3`: Very Good
-- `LABEL_4`: Excellent
 
 
 ## Intended uses & limitations