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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +14 -0
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@@ -83,3 +83,17 @@ The model is licensed under a CC BY-NC-4.0 license focused on research use cases
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  # Acknowledgements
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  The Lemur project is an open collaborative research effort between [XLang Lab](https://www.xlang.ai/) and Salesforce Research. We thank Salesforce, Google Research and Amazon AWS for their gift support.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Acknowledgements
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  The Lemur project is an open collaborative research effort between [XLang Lab](https://www.xlang.ai/) and Salesforce Research. We thank Salesforce, Google Research and Amazon AWS for their gift support.
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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_OpenLemur__lemur-70b-chat-v1)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 57.1 |
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+ | ARC (25-shot) | 66.98 |
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+ | HellaSwag (10-shot) | 85.73 |
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+ | MMLU (5-shot) | 65.99 |
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+ | TruthfulQA (0-shot) | 56.58 |
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+ | Winogrande (5-shot) | 81.69 |
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+ | GSM8K (5-shot) | 35.33 |
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+ | DROP (3-shot) | 7.4 |