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README.md
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@@ -110,5 +110,14 @@ Currently, the leaderboard is overfitted. It is inevitable because, unlike Kaggl
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Even among my models, some received lower scores in internal data evaluations. mncai/agiin-13.6B-v0.1 > mncai/agiin-11.1B-v0.1 > mncai/mistral-7b-dpo-v6. However, on the leaderboard, mncai/mistral-7b-dpo-v6 has the highest score.
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When choosing a model to use on the open LLM leaderboard, it would be best to evaluate with your own private dataset that is not publicly available.
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### Contact
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If you have any questions, please raise an issue or contact us at [email protected]
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Even among my models, some received lower scores in internal data evaluations. mncai/agiin-13.6B-v0.1 > mncai/agiin-11.1B-v0.1 > mncai/mistral-7b-dpo-v6. However, on the leaderboard, mncai/mistral-7b-dpo-v6 has the highest score.
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When choosing a model to use on the open LLM leaderboard, it would be best to evaluate with your own private dataset that is not publicly available.
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### Detect-Pretrain-Code-Contamination Result Share
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use https://github.com/Mihaiii/detect-pretrain-code-contamination
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DATASET=truthful_qa
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python src/run.py --target_model mncai/mistral-7b-dpo-v6 --data $DATASET --output_dir out/$DATASET --ratio_gen 0.4
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result < 0.1, %: 0.76
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### Contact
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If you have any questions, please raise an issue or contact us at [email protected]
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