Update README.md

README.md

@@ -26,7 +26,8 @@ The model was trained on medical entity triplets (anchor, term, synonym)
 
 
 ### Expected input and output
-The input should be a string of biomedical entity names, e.g., "covid infection" or "Hydroxychloroquine". The [CLS] embedding of the last layer is regarded as the output.
+The input should be a string of biomedical entity names, e.g., "covid infection" or "Hydroxychloroquine". 
+The mean embeddings of the last layer is regarded as the output.
 
 #### Extracting embeddings from mirrorbert_MedRoBERTa.nl_meantoken