Adding Evaluation Results
#4
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leaderboard-pr-bot
- opened
README.md
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@@ -71,4 +71,17 @@ As such, it was **not** fine-tuned to be safe and harmless: the base model _and_
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## Acknowledgements
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We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for the [Pygmalion-2 13B](https://huggingface.co/PygmalionAI/pygmalion-2-13b) 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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## Acknowledgements
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We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for the [Pygmalion-2 13B](https://huggingface.co/PygmalionAI/pygmalion-2-13b) 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__mythalion-13b)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 49.41 |
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| ARC (25-shot) | 61.26 |
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| HellaSwag (10-shot) | 83.81 |
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| MMLU (5-shot) | 56.53 |
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| TruthfulQA (0-shot) | 46.56 |
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| Winogrande (5-shot) | 77.43 |
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| GSM8K (5-shot) | 13.27 |
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| DROP (3-shot) | 7.01 |
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