Update README.md

README.md

@@ -12,7 +12,7 @@ https://meta-math.github.io/
 
 MetaMath-Mistral-7B is fully fine-tuned on the MetaMathQA datasets and based on the very strong Mistral-7B model. It is glad to see using MetaMathQA datasets and change the base model from llama-2-7B to Mistral-7b can boost the GSM8K performance from 66.5 to **77.7**.
 
-For everyone who wants to fine-tune Mistral-7B, I would suggest using a smaller learning rate(usually 1/5 to 1/10 of the lr for LlaMa-2-7B) and staying other training args unchanged.
+To fine-tune Mistral-7B, I would suggest using a smaller learning rate (usually 1/5 to 1/10 of the lr for LlaMa-2-7B) and staying other training args unchanged.
 More training details and scripts can be seen at https://github.com/meta-math/MetaMath
 
 ## Installation