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Adding Evaluation Results (#2)

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- Adding Evaluation Results (3e4ff9bcd3439049e614525107c17e314f6bf86d)


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

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  1. README.md +14 -1
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@@ -102,4 +102,17 @@ state of the art, but rather further show that chat-like behaviors in LLMs can b
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  | chopt-1_3b | 0.236 | 0.569444 | 0.584057 | 0.42621 | 0.268771 | 0.723069 | 0.658104 |
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  | opt-2.7b | 0.25 | 0.608165 | 0.608524 | 0.458176 | 0.267918 | 0.738303 | 0.603058 |
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  | chopt-2_7b | 0.276 | 0.616582 | 0.601421 | 0.472615 | 0.288396 | 0.75136 | 0.552294 |
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- | chopt-research-2_7b | 0.262 | 0.610269 | 0.625099 | 0.458176 | 0.295222 | 0.742111 | 0.636697 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | chopt-1_3b | 0.236 | 0.569444 | 0.584057 | 0.42621 | 0.268771 | 0.723069 | 0.658104 |
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  | opt-2.7b | 0.25 | 0.608165 | 0.608524 | 0.458176 | 0.267918 | 0.738303 | 0.603058 |
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  | chopt-2_7b | 0.276 | 0.616582 | 0.601421 | 0.472615 | 0.288396 | 0.75136 | 0.552294 |
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+ | chopt-research-2_7b | 0.262 | 0.610269 | 0.625099 | 0.458176 | 0.295222 | 0.742111 | 0.636697 |
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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_aisquared__chopt-2_7b)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 32.17 |
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+ | ARC (25-shot) | 36.01 |
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+ | HellaSwag (10-shot) | 63.38 |
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+ | MMLU (5-shot) | 25.44 |
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+ | TruthfulQA (0-shot) | 37.71 |
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+ | Winogrande (5-shot) | 57.77 |
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+ | GSM8K (5-shot) | 0.0 |
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+ | DROP (3-shot) | 4.86 |