docs: update README.md

README.md

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 ## Model Details
 xFinder is a model specifically designed for key answer extraction in large language models (LLMs). It is trained by fine-tuning Qwen-1.5-0.5B.
 
-- Developed by: [IAAR](https://www.iaar.ac.cn)
-- Model Type: An auto-regressive language model based on the transformer architecture
-- Fine-tuned from Model: [Qwen-1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
+- **Developed by:** [IAAR](https://www.iaar.ac.cn)
+- **Fine-tuned from Model:** [Qwen-1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
 
 ## Model Sources
-- Repository: https://github.com/IAAR-Shanghai/xFinder
-- Paper: https://arxiv.org/abs/2405.11874
+- **Repository:** https://github.com/IAAR-Shanghai/xFinder
+- **Paper:** https://arxiv.org/abs/2405.11874
 
 ## Uses
 xFinder is primarily used to enhance the evaluation of LLMs by accurately extracting key answers from their outputs. It addresses the limitations of traditional regular expression-based extraction methods, which often fail to handle the diverse and complex outputs generated by LLMs. xFinder improves the reliability of model assessments in various tasks.