README.md

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         |