Update README.md

README.md

@@ -54,7 +54,8 @@ Thus, OpenCSG strained our brains to provide a relatively fair method to compare
 To simplify the comparision, we chosed the Pass@1 metric on python language, but our finetuning dataset includes samples in multi language.
 
 **For fair, we evaluated the fine-tuned and origin codellama models only with the original cases' prompts, not including any other instruction else.**
-**Otherwise，we use greedy decoding method for each model during the evaluation.**
+
+**Otherwise, we use greedy decoding method for each model during the evaluation.**
 
 | Model     | HumanEval python pass@1                                                 |
 | ---  |----------------------------------------------------------------------------- |