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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (01a3f9b9132bfae84009b8a4b0312522ed18df38)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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## Ethical Considerations
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- Large language models like MorningStar carry risks around bias, toxicity, and misinformation.
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- Model outputs should be monitored and filtered before use in real applications.
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- Avoid harmful or unethical prompts.
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## Ethical Considerations
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- Large language models like MorningStar carry risks around bias, toxicity, and misinformation.
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- Model outputs should be monitored and filtered before use in real applications.
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- Avoid harmful or unethical prompts.
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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_NewstaR__Morningstar-13b-hf)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 50.48 |
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| ARC (25-shot) | 59.04 |
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| HellaSwag (10-shot) | 81.93 |
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| MMLU (5-shot) | 54.63 |
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| TruthfulQA (0-shot) | 44.12 |
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| Winogrande (5-shot) | 74.51 |
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| GSM8K (5-shot) | 15.24 |
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| DROP (3-shot) | 23.87 |
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