Adding Evaluation Results
#5
by
leaderboard-pr-bot
- opened
README.md
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@@ -151,3 +151,17 @@ Qualitative evaluation suggests that Galpaca frequently outperforms LLaMA-based
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howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}},
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}
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```
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howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}},
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}
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```
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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_GeorgiaTechResearchInstitute__galpaca-30b)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 40.99 |
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| ARC (25-shot) | 49.57 |
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| HellaSwag (10-shot) | 58.2 |
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| MMLU (5-shot) | 43.78 |
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| TruthfulQA (0-shot) | 41.16 |
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| Winogrande (5-shot) | 62.51 |
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| GSM8K (5-shot) | 2.81 |
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| DROP (3-shot) | 28.89 |
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