Update README.md

README.md

@@ -18,21 +18,14 @@ This model is designed to summarize digital help desk conversations in post-disa
 ## Model Details
 
 ### Model Description
-这是一个基于BART模型微调的parameter efficient finetuned model。使用的方法是LoRa adapter。这种模型专注于在灾后援助场景中对数字帮助台对话进行自动文本摘要，以提高信息收集的效率和质量，从而为受影响的人们提供及时有效的支持。
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-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-
+This is a parameter efficient finetuned model based on the fine-tuning of the BART model. the methodology used is the LoRa adapter. this model focuses on automated text summarization of digital helpdesk conversations in post-disaster assistance scenarios in order to improve the efficiency and quality of the information gathered to provide timely and effective support to the affected people.
 ## Uses
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-该模型旨在为非营利组织在灾后援助场景下的数字帮助台对话进行摘要，帮助desk的工作人员快速提炼关键信息，减少手动撰写高质量摘要的时间。
+The model is designed to summarize digital help desk conversations for nonprofit organizations in post-disaster assistance scenarios, helping digital help desk staff to quickly extract key information and reduce the time it takes to manually write high-quality summaries.
 
 ## Bias, Risks, and Limitations
-总结的摘要可能存在一定错误，如包含敏感信息，需要人工二次校正以确保准确性和隐私保护。
+Generated summaries may contain certain errors, such as the inclusion of sensitive information, and require manual secondary correction to ensure accuracy and privacy protection.
 
 ## How to Get Started with the Model