Update README.md

README.md

@@ -9,24 +9,18 @@ Arabic language domain. This is the repository for the 13B-chat pretrained model
 
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 ## Model Details
-We have released the AceGPT family of large language models, which is a collection of fully fine-tuned generative text models based on LlaMA2, ranging from 7B to 13B parameters. Our models include two main categories: AceGPT and AceGPT-chat. AceGPT-chat is an optimized version specifically designed for dialogue applications. It is worth mentioning that our models have demonstrated superior performance compared to all currently available open-source  
-Arabic dialogue models in multiple benchmark tests. Furthermore, in our human evaluations, our models have shown  
-comparable satisfaction levels to some closed-source models, such as ChatGPT, in the Arabic language.
+We have released the AceGPT family of large language models, which is a collection of fully fine-tuned generative text models based on LlaMA2, ranging from 7B to 13B parameters. Our models include two main categories: AceGPT and AceGPT-chat. AceGPT-chat is an optimized version specifically designed for dialogue applications. It is worth mentioning that our models have demonstrated superior performance compared to all currently available open-source Arabic dialogue models in multiple benchmark tests. Furthermore, in our human evaluations, our models have shown comparable satisfaction levels to some closed-source models, such as ChatGPT, in the Arabic language.
 ## Model Developers 
-We are from the School of Data Science, the Chinese University of Hong Kong, Shenzhen (CUHKSZ), and   
-the Shenzhen Research Institute of Big Data (SRIBD).
+We are from the School of Data Science, the Chinese University of Hong Kong, Shenzhen (CUHKSZ), and the Shenzhen Research Institute of Big Data (SRIBD).
 ## Variations
-AceGPT famils comes in a range of parameter sizes —— 7B and 13B, each size of model has a base categorie   
-and a -chat categorie.
+AceGPT famils comes in a range of parameter sizes —— 7B and 13B, each size of model has a base categorie and a -chat categorie.
 ## Input 
 Models input text only.
 ## Output
 Models output text only.
 ## Model Evaluation Results
 
-Experiments on Arabic Vicuna-80, Arabic AlpacaEval. Numbers are the average perfor-mance ratio of ChatGPT  
-over three runs. We do not report results of raw Llama-2 models since they cannot properly generate Arabic   
-texts.
+Experiments on Arabic Vicuna-80, Arabic AlpacaEval. Numbers are the average perfor-mance ratio of ChatGPT over three runs. We do not report results of raw Llama-2 models since they cannot properly generate Arabic texts.
 |                              | Arabic Vicuna-80   | Arabic AlpacaEval   |
 |------------------------------|--------------------|---------------------|
 | Phoenix Chen et al. (2023a)                | 71.92% ± 0.2%      | 65.62% ± 0.3%       |