Update README.md

README.md

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 ## RadBERT-RoBERTa-4m
 
-This is one variant of our RadBERT models. It is initialized with RoBERTa weights and further trained with 4 million radiology reports deidentified from US VA hospital. This model achieves stronger medical language understanding performance than previous medical domain models such as BioBERT, Clinical-BERT, BLUE-BERT and BioMed-RoBERTa. 
+This is one variant of our Radiology-BERT models from UC San Diego and VA healthcare system. It is initialized with RoBERTa weights and further trained with 4 million radiology reports deidentified from US VA hospital. The model achieves stronger medical language understanding performance than previous medical domain models such as BioBERT, Clinical-BERT, BLUE-BERT and BioMed-RoBERTa. 
 
 Performances are evaluated on three tasks: 
 (a) abnormal sentence classification: sentence classification in radiology reports as reporting abnormal or normal findings;