24 lines
1.0 KiB
Markdown
24 lines
1.0 KiB
Markdown
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---
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license: apache-2.0
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datasets:
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- itsliupeng/mmlu_recall
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language:
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- en
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pipeline_tag: text-generation
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---
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We are utilizing the [mmlu_recall](https://huggingface.co/datasets/itsliupeng/mmlu_recall) dataset to continuously train the [Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) model, aiming to enhance performance on mmlu metrics, while ensuring that other metric performances remain unaffected.
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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_itsliupeng__llama2_7b_mmlu)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 46.31 |
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| ARC (25-shot) | 56.14 |
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| HellaSwag (10-shot) | 79.13 |
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| MMLU (5-shot) | 60.04 |
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| TruthfulQA (0-shot) | 40.95 |
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| Winogrande (5-shot) | 74.43 |
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| GSM8K (5-shot) | 7.88 |
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| DROP (3-shot) | 5.59 |
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