Update README.md

README.md

@@ -21,11 +21,10 @@ It achieves the following results on the evaluation set in Named Entity Recognit
 - F1: 0.9536
 
 # Model Performance
-- 1st Place: This fine-tuned model is topped on the best scores (94.6%) from [Named Entity Recognition (NER) on CoNLL 2003 (English)]((https://paperswithcode.com/sota/named-entity-recognition-ner-on-conll-2003)).
+- 1st Place: This fine-tuned model is topped on the best scores ( F1: 94.6%) from [Named Entity Recognition (NER) on CoNLL 2003 (English)]((https://paperswithcode.com/sota/named-entity-recognition-ner-on-conll-2003)).
 - 6th Place: This fine-tuned model is ranked in the 6th place from the [Token Classification on conll2003 leaderboard](https://paperswithcode.com/sota/token-classification-on-conll2003)
 
 
-[the ConLL2003 Token Classification benchmark](https://paperswithcode.com/sota/token-classification-on-conll2003), This fine-tuned Model has achieved 95.36%.
 
 ## Model Usage