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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (df4d9054301906580ce7cb6582f58efe61f75fae)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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@@ -187,4 +187,17 @@ The training was done for 2 epochs. We used 8x[H100s](https://www.nvidia.com/en
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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## Safety
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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## Safety
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_anthracite-org__magnum-v3-9b-customgemma2)
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| Metric |Value|
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|Avg. |19.02|
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|IFEval (0-Shot) |12.73|
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|BBH (3-Shot) |34.12|
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|MATH Lvl 5 (4-Shot)| 6.12|
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|GPQA (0-shot) |10.51|
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|MuSR (0-shot) |15.06|
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|MMLU-PRO (5-shot) |35.61|
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