Llama3-SFT
Collection
A series of fine-tuned models based on the Llama model
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5 items
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Updated
基于alpaca-data-gpt4-chinese、sft_zh数据集对Llama-3-8B-Instruct进行微调。
模型：
数据集：
- https://huggingface.co/datasets/TigerResearch/sft_zh
- https://huggingface.co/datasets/silk-road/alpaca-data-gpt4-chinese
训练工具
https://github.com/hiyouga/LLaMA-Factory
测评方式：
使用opencompass(https://github.com/open-compass/OpenCompass/ )， 测试工具基于CEval和MMLU对微调之后的模型和原始模型进行测试。
测试模型分别为：
- Llama-3-8B
- Llama-3-8B-Instruct
- LLama3-Instruct-sft-lora-tigerbot-alpacadatagpt4,使用sft_zh、alpaca-data-gpt4-chinese数据对Llama-3-8B-Instruct使用sft方式lora微调
结果
| 模型名称 | CEVAL | MMLU |
|---|---|---|
| LLama3 | 49.91 | 66.62 |
| LLama3-Instruct | 50.55 | 67.15 |
| LLama3-Instruct-sft-lora-tigerbot-alpacadatagpt4 | 53.65 | 68.09 |
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