Adding Evaluation Results

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  1. README.md +14 -1
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@@ -12,4 +12,17 @@ Pretty sure I did not use merged models, just finetuned ones so it's not stupid
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  Maybe.
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- My friendo tested it and said S1 was smartest but he liked A1 the most so u choose hehe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Maybe.
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+ My friendo tested it and said S1 was smartest but he liked A1 the most so u choose hehe
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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_gradientputri__MegaMix-S1-13B)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 49.89 |
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+ | ARC (25-shot) | 62.46 |
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+ | HellaSwag (10-shot) | 83.65 |
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+ | MMLU (5-shot) | 57.88 |
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+ | TruthfulQA (0-shot) | 44.52 |
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+ | Winogrande (5-shot) | 75.85 |
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+ | GSM8K (5-shot) | 18.35 |
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+ | DROP (3-shot) | 6.51 |