| https://wandb.ai/open-assistant/supervised-finetuning/runs/i9gmn0dt | |
| Trained with residual dropout 0.1 | |
| # [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_dvruette__llama-13b-pretrained-dropout) | |
| | Metric | Value | | |
| |-----------------------|---------------------------| | |
| | Avg. | 49.28 | | |
| | ARC (25-shot) | 56.4 | | |
| | HellaSwag (10-shot) | 79.34 | | |
| | MMLU (5-shot) | 46.59 | | |
| | TruthfulQA (0-shot) | 48.6 | | |
| | Winogrande (5-shot) | 75.22 | | |
| | GSM8K (5-shot) | 11.83 | | |
| | DROP (3-shot) | 27.03 | | |