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Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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- [LIMA (en)](https://huggingface.co/datasets/GAIR/lima)
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- [CodeAlpaca 20k (en)](https://huggingface.co/datasets/sahil2801/CodeAlpaca-20k)
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- [GPT-4 Generated Data (en&zh)](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM)
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- [UltraChat (en)](https://github.com/thunlp/UltraChat)
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- [LIMA (en)](https://huggingface.co/datasets/GAIR/lima)
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- [CodeAlpaca 20k (en)](https://huggingface.co/datasets/sahil2801/CodeAlpaca-20k)
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- [GPT-4 Generated Data (en&zh)](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM)
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- [UltraChat (en)](https://github.com/thunlp/UltraChat)
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Expert68__llama2_13b_instructed_version2)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 48.57 |
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| ARC (25-shot) | 60.07 |
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| HellaSwag (10-shot) | 84.05 |
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| MMLU (5-shot) | 55.61 |
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| TruthfulQA (0-shot) | 46.12 |
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| Winogrande (5-shot) | 75.61 |
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| GSM8K (5-shot) | 10.99 |
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| DROP (3-shot) | 7.57 |
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