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Adding Evaluation Results (#2)
Browse files- Adding Evaluation Results (375082cd63ce4864415e59dc8e269ffe0b012072)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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The finetuning scripts will be available in our [RAIL Github Repository](https://github.com/vmware-labs/research-and-development-artificial-intelligence-lab/tree/main/instruction-tuning)
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## Evaluation
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<B>TODO</B>
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The finetuning scripts will be available in our [RAIL Github Repository](https://github.com/vmware-labs/research-and-development-artificial-intelligence-lab/tree/main/instruction-tuning)
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## Evaluation
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<B>TODO</B>
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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_VMware__open-llama-7b-open-instruct)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 40.9 |
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| ARC (25-shot) | 49.74 |
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| HellaSwag (10-shot) | 73.67 |
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| MMLU (5-shot) | 31.52 |
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| TruthfulQA (0-shot) | 34.65 |
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| Winogrande (5-shot) | 65.43 |
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| GSM8K (5-shot) | 0.53 |
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| DROP (3-shot) | 30.75 |
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