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Adding Evaluation Results (#2)

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- Adding Evaluation Results (b745a7ea17a9683044b952d0098182f8941748c1)


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

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  1. README.md +14 -0
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@@ -46,3 +46,17 @@ 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-mistral-instruct-7b)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 51.02 |
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+ | ARC (25-shot) | 53.5 |
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+ | HellaSwag (10-shot) | 75.14 |
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+ | MMLU (5-shot) | 51.72 |
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+ | TruthfulQA (0-shot) | 58.81 |
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+ | Winogrande (5-shot) | 70.4 |
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+ | GSM8K (5-shot) | 10.84 |
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+ | DROP (3-shot) | 36.73 |