Update README.md

README.md

@@ -46,7 +46,7 @@ Our fine-tuned BERT model is this repository. Our Package also supports download
 from qa_metrics.transformerMatcher import TransformerMatcher
 
 question = "who will take the throne after the queen dies"
-tm = TransformerMatcher("roberta")
+tm = TransformerMatcher("roberta-large")
 scores = tm.get_scores(reference_answer, candidate_answer, question)
 match_result = tm.transformer_match(reference_answer, candidate_answer, question)
 print("Score: %s; CF Match: %s" % (scores, match_result))