--- license: apache-2.0 datasets: - itsliupeng/mmlu_recall language: - en pipeline_tag: text-generation --- 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. # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_itsliupeng__llama2_7b_mmlu) | Metric | Value | |-----------------------|---------------------------| | Avg. | 46.31 | | ARC (25-shot) | 56.14 | | HellaSwag (10-shot) | 79.13 | | MMLU (5-shot) | 60.04 | | TruthfulQA (0-shot) | 40.95 | | Winogrande (5-shot) | 74.43 | | GSM8K (5-shot) | 7.88 | | DROP (3-shot) | 5.59 |