Update README.md

README.md

@@ -35,7 +35,7 @@ Phi-2 is a 2.7 billion-parameter Transformer model trained on augmented data sou
 Unlike some models, Phi-2 hasn't been fine-tuned through reinforcement learning from human feedback. The goal of this open-source model is to enable research into safety challenges like reducing toxicity, understanding biases, enhancing controllability, etc.
 
 
-opencsg-phi-2-v0.1 is a series of models based on phi-2 that have been fine-tuned using full-parameter tuning methods.
+opencsg-phi-2-v0.1 is a model based on phi-2 that have been fine-tuned using full-parameter tuning methods.
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 This is the repository for the base 2.7B version finetuned based on [phi-2](https://huggingface.co/microsoft/phi-2). 
@@ -138,7 +138,7 @@ OpenCSG 的愿景是让每个行业、每个公司、每个人都拥有自己的
 Phi-2是一个拥有27亿参数的Transformer模型，使用了经过增强的数据源进行训练，包括合成的NLP文本和经过筛选的网站，同时还使用了Phi-1.5使用的现有数据。尽管参数少于130亿，但它在常识、语言理解和逻辑推理的基准测试中表现出了接近最先进的水平。
 与一些模型不同，Phi-2没有通过人类反馈的强化学习进行微调。这个开源模型的目标是促进对安全挑战的研究，如减少毒性、理解偏见、增强可控性等。
 
-opencsg-phi-2-v0.1是是一系列基于phi-2的通过全参数微调方法进行调优的模型。
+opencsg-phi-2-v0.1是基于phi-2的通过全参数微调方法进行调优的模型。
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 这是基于 [phi-2](https://huggingface.co/microsoft/phi-2) 进行微调的模型版本。