Update README.md

README.md

@@ -30,7 +30,7 @@ With ReasonEval, you can
 
 ## Model Details
 
-* **Model type**: `ReasonEval-7B` model is an auto-regressive language model based on the transformer decoder architecture. `ReasonEval-7B`’s architecture is identical to the base model, except that the
+* **Model type**: `ReasonEval-7B` model is an auto-regressive language model based on the transformer decoder architecture. Its architecture is identical to the base model, except that the
 classification head for next-token prediction is replaced with a classification head for outputting the
 possibilities of each class of reasong steps.
 * **Language(s)**: English
@@ -39,7 +39,7 @@ possibilities of each class of reasong steps.
 * **Finetuned from model**: [https://huggingface.co/WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
 * **Fine-tuning Data**: [PRM800K](https://github.com/openai/prm800k)
 
-Please refer to our [github repo](https://github.com/GAIR-NLP/ReasonEval)) for the usage of `ReasonEval-7B`.
+For detailed instructions on how to use the ReasonEval-7B model, visit our GitHub repository at [https://github.com/GAIR-NLP/ReasonEval](https://github.com/GAIR-NLP/ReasonEval).
 ## How to Cite
 ```bibtex
 ```