Adding Evaluation Results

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  1. README.md +14 -0
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@@ -45,3 +45,17 @@ The following hyperparameters were used during training:
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  - Pytorch 2.0.0+cu117
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  - Datasets 2.10.1
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  - Tokenizers 0.13.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Pytorch 2.0.0+cu117
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  - Datasets 2.10.1
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  - Tokenizers 0.13.2
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+
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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_beomi__KoAlpaca-Polyglot-5.8B)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 26.03 |
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+ | ARC (25-shot) | 27.65 |
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+ | HellaSwag (10-shot) | 35.58 |
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+ | MMLU (5-shot) | 24.72 |
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+ | TruthfulQA (0-shot) | 39.74 |
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+ | Winogrande (5-shot) | 49.01 |
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+ | GSM8K (5-shot) | 0.08 |
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+ | DROP (3-shot) | 5.41 |