Update README.md

README.md

@@ -20,7 +20,7 @@ It achieves the following results on the evaluation set:
 - Loss: 0.0585
 - F1: 0.9536
 
-The best scores for Named Entity Recognition (NER) on CoNLL 2003 (English) is 94.6% from [the ConLL2003 NER benchmark](https://paperswithcode.com/sota/named-entity-recognition-ner-on-conll-2003), This fine-tuned Model has achieved 95.36%.
+The best scores for Named Entity Recognition (NER) on CoNLL 2003 (English) is 94.6% from [the ConLL2003 Token Classification benchmark](https://paperswithcode.com/sota/token-classification-on-conll2003), This fine-tuned Model has achieved 95.36%.
 
 ## Model Usage