Update README.md

README.md

@@ -1,3 +1,13 @@
+---
+license: apache-2.0
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- Qwen/Qwen2.5-Math-7B-Instruct
+library_name: transformers
+---
 ## SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights
 
 > [SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights](link)
@@ -118,5 +128,4 @@ title={SuperCorrect: Supervising and Correcting Language Models with Error-Drive
 
 ## Acknowledgements
 
-Our SuperCorrect is a two-stage fine-tuning model which based on several extraordinary open-source models like [Qwen2.5-Math](https://github.com/QwenLM/Qwen2.5-Math), [DeepSeek-Math](https://github.com/deepseek-ai/DeepSeek-Math), [Llama3-Series](https://github.com/meta-llama/llama3). Our evaluation method is based on the code base of outstanding works like [Qwen2.5-Math](https://github.com/QwenLM/Qwen2.5-Math) and  [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness). We also want to express our gratitude for amazing works such as [BoT](https://github.com/YangLing0818/buffer-of-thought-llm) which provides the idea of thought template.
-
+Our SuperCorrect is a two-stage fine-tuning model which based on several extraordinary open-source models like [Qwen2.5-Math](https://github.com/QwenLM/Qwen2.5-Math), [DeepSeek-Math](https://github.com/deepseek-ai/DeepSeek-Math), [Llama3-Series](https://github.com/meta-llama/llama3). Our evaluation method is based on the code base of outstanding works like [Qwen2.5-Math](https://github.com/QwenLM/Qwen2.5-Math) and  [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness). We also want to express our gratitude for amazing works such as [BoT](https://github.com/YangLing0818/buffer-of-thought-llm) which provides the idea of thought template.