Adding Evaluation Results

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  1. README.md +14 -0
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@@ -66,3 +66,17 @@ As such, it was **not** fine-tuned to be safe and harmless: the base model _and_
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  We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for this model.
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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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  We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for this model.
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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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+ # [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_PygmalionAI__pygmalion-2-13b)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 48.13 |
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+ | ARC (25-shot) | 60.32 |
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+ | HellaSwag (10-shot) | 82.37 |
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+ | MMLU (5-shot) | 56.02 |
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+ | TruthfulQA (0-shot) | 42.22 |
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+ | Winogrande (5-shot) | 78.06 |
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+ | GSM8K (5-shot) | 11.75 |
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+ | DROP (3-shot) | 6.13 |