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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
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# dataset Intruction
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**datasets:** \
- mxz/CValues_DPO \
**language:** \
- zh \
- en \
**metrics:** \
- perplexity \
**pipeline_tag:** \
- text-generation \
**tags:** \
- DPO \
- fintune \
- alignment \
- LoRA \
- Llama-3
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# About mxz-llama-3-8B-sft
This model trained by SFT and PPO.
It's have coding, reasoing, chinese QA .
# evaluation
Result:
| Model | MMLU | C-EVAL | C-MMLU |
| ------------------- | ----- | ------ | ------ |
| Llama-3-8B | 55.5 | 47.0 | 48.0 |
| Llama-3-8B-Instruct | 60.1 | 49.7 | 49.3 |
| Llama-3-8B-dpo | 62.2 | 49.9 | 49.4 |
- Llama-3-8B evaluation result from [ymcui/Chinese-LLaMA-Alpaca-3](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3)
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