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Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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- **Hardware Type:** 32x A100-80GB
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- **Hours used:** 90 GPU-hours
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- **Cloud Provider:** AWS
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- **Compute Region:** us-east-1
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- **Hardware Type:** 32x A100-80GB
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- **Hours used:** 90 GPU-hours
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- **Cloud Provider:** AWS
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- **Compute Region:** us-east-1
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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_Phind__Phind-CodeLlama-34B-Python-v1)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 35.69 |
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| ARC (25-shot) | 24.66 |
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| HellaSwag (10-shot) | 29.77 |
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| MMLU (5-shot) | 27.95 |
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| TruthfulQA (0-shot) | 45.27 |
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| Winogrande (5-shot) | 68.82 |
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| GSM8K (5-shot) | 21.53 |
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| DROP (3-shot) | 31.85 |
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