Adding Evaluation Results
#4
by leaderboard-pr-bot - opened
README.md
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@@ -277,4 +277,17 @@ current naming convention (70M, 160M, etc.) is based on total parameter count.
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| 2.8B | 2.7B | 2,775,208,960 | 2,517,652,480 |
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| 6.9B | 6.7B | 6,857,302,016 | 6,444,163,072 |
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| 12B | 13B | 11,846,072,320 | 11,327,027,200 |
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</figure>
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| 2.8B | 2.7B | 2,775,208,960 | 2,517,652,480 |
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| 6.9B | 6.7B | 6,857,302,016 | 6,444,163,072 |
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| 12B | 13B | 11,846,072,320 | 11,327,027,200 |
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</figure>
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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_EleutherAI__pythia-160m)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 25.36 |
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| ARC (25-shot) | 22.78 |
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| HellaSwag (10-shot) | 30.34 |
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| MMLU (5-shot) | 24.95 |
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| TruthfulQA (0-shot) | 44.26 |
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| Winogrande (5-shot) | 51.54 |
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| GSM8K (5-shot) | 0.23 |
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| DROP (3-shot) | 3.45 |
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