Adding Evaluation Results
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leaderboard-pr-bot
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README.md
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@@ -37,4 +37,17 @@ Details on MorningStar's training data are unavailable. It was likely trained on
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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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