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Adding Evaluation Results (#4)

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- Adding Evaluation Results (64f00ace6f2d8db59b355059feb074de060d4df5)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +14 -0
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@@ -59,3 +59,17 @@ Shout out and much thanks to WingLian, author of axolotl! And everyone who has
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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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  And much thanks as always to TheBloke for distribution.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  And much thanks as always to TheBloke for distribution.
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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_ehartford__samantha-1.2-mistral-7b)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 52.16 |
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+ | ARC (25-shot) | 64.08 |
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+ | HellaSwag (10-shot) | 85.08 |
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+ | MMLU (5-shot) | 63.91 |
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+ | TruthfulQA (0-shot) | 50.4 |
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+ | Winogrande (5-shot) | 78.53 |
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+ | GSM8K (5-shot) | 16.98 |
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+ | DROP (3-shot) | 6.13 |