Update README.md

README.md

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-# distilroberta-ConLL2003
+# Model Description
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on [ConLL2003 dataset](https://huggingface.co/datasets/conll2003).
-It achieves the following results on the evaluation set:
+It achieves the following results on the evaluation set in Named Entity Recognition (NER)/Token Classification task:
 - Loss: 0.0585
 - F1: 0.9536
 
-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 Performance
+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)).
+and 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