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@@ -25,7 +25,8 @@ inference: false
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  我们对Ziya-LLaMA-13B-v1模型进行继续优化,推出开源版本Ziya-LLaMA-13B-v1.1。通过调整微调数据的比例和采用更优的强化学习策略,本版本在问答准确性、数学能力以及安全性等方面得到了明显提升,详细能力分析如下图所示。
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  We have further optimized the Ziya-LLaMA-13B-v1 model and released the open-source version Ziya-LLaMA-13B-v1.1. By adjusting the proportion of fine-tuning data and adopting a better reinforcement learning strategy, this version has achieved significant improvements in question-answering accuracy, mathematical ability, and safety, as shown in the following figure in detail.
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- <img src="https://huggingface.co/IDEA-CCNL/Ziya-LLaMA-13B-v1.1/blob/main/pk.png" width=1000 height=600>
 
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  ## 软件依赖
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  ```
 
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  我们对Ziya-LLaMA-13B-v1模型进行继续优化,推出开源版本Ziya-LLaMA-13B-v1.1。通过调整微调数据的比例和采用更优的强化学习策略,本版本在问答准确性、数学能力以及安全性等方面得到了明显提升,详细能力分析如下图所示。
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  We have further optimized the Ziya-LLaMA-13B-v1 model and released the open-source version Ziya-LLaMA-13B-v1.1. By adjusting the proportion of fine-tuning data and adopting a better reinforcement learning strategy, this version has achieved significant improvements in question-answering accuracy, mathematical ability, and safety, as shown in the following figure in detail.
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+
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+ <img src="https://huggingface.co/IDEA-CCNL/Ziya-LLaMA-13B-v1.1/resolve/main/pk.png" width=1000 height=600>
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  ## 软件依赖
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  ```