Update README.md

README.md

@@ -11,7 +11,7 @@ library_name: peft
 
 It should be noted that the MTIPA, TIPA, and training data for this model are all from Chinese, and support for other languages may not be sufficient. If you need to train a model specific to a particular language or for a general purpose, please refer to our paper and GitHub
 
-This model is developed by MTIPA for the first task of predicting spelling errors and correcting them. It was trained using the MTIPA method and the base model is Qwen2.5-7B-Instruct. You can use it like this: 
+This model is trained on the MTIPA dataset, and its function is to predict the position of Chinese misspelled characters and output the original misspelled characters and corrected characters
 
 ```python
 from peft import PeftModel