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更多细节详见我们的[GitHub](https://github.com/bilibili/Index-1.9B)和[Index-1.9B技术报告](https://github.com/bilibili/Index-1.9B/blob/main/Index-1.9B%20%E6%8A%80%E6%9C%AF%E6%8A%A5%E5%91%8A.pdf)
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更多细节详见我们的[GitHub](https://github.com/bilibili/Index-1.9B)和[Index-1.9B技术报告](https://github.com/bilibili/Index-1.9B/blob/main/Index-1.9B%20%E6%8A%80%E6%9C%AF%E6%8A%A5%E5%91%8A.pdf)
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## 评测结果
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这里我们补充 Index-1.9B-Constant-LR 模型的通用理解能力的评测
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|模型|均分|英文均分|MMLU|CEVAL|CMMLU|HellaSwag|Arc-C|Arc-E|
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|----|----|----|----|----|----|----|----|----|
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|**Index-1.9B-Constant-LR**|41.47 |44.24 |35.30|38.58|33.26|59.94|32.96|48.75|
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|**Index-1.9B-Pure**|49.55 |52.83 |43.75|42.35|43.61|63.21|42.75|61.61|
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|**Index-1.9B**|**64.92** |**69.93**|52.53|57.01|52.79|80.69|65.15|81.35|
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评测代码基于[OpenCompass](https://github.com/open-compass/opencompass), 并做了适配性修改，详见[evaluate代码](https://github.com/bilibili/Index-1.9B/evaluate/)
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