Update README.md

README.md

@@ -14,6 +14,8 @@ The model performance on the test sets are:
 |NER-PMR-large  (multi-task model)|   92.9   | 54.7| 87.8| 88.4|
 
 Note that the performance of RoBERTa-large and PMR-large are single-task fine-tuning, while NER-PMR-large is a multi-task fine-tuned model. 
+As it is fine-tuned on multiple datasets, we believe that NER-PMR-large has a better generalization capability to other NER tasks than PMR-large and RoBERTa-large.
+
 
 ### How to use
 You can try the codes from [this repo](https://github.com/DAMO-NLP-SG/PMR/NER) for both training and inference.