Adding Evaluation Results

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  1. README.md +14 -1
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@@ -68,4 +68,17 @@ Although the aforementioned dataset helps to steer the base language models into
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- Contact us : [email protected]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Contact us : [email protected]
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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_quantumaikr__llama-2-70b-fb16-korean)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 56.97 |
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+ | ARC (25-shot) | 67.15 |
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+ | HellaSwag (10-shot) | 86.78 |
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+ | MMLU (5-shot) | 69.29 |
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+ | TruthfulQA (0-shot) | 56.5 |
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+ | Winogrande (5-shot) | 82.64 |
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+ | GSM8K (5-shot) | 29.04 |
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+ | DROP (3-shot) | 7.42 |