gpt-Youtube / README.md
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Adding Evaluation Results (#3)
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---
datasets:
- breadlicker45/youtube-comments-180k
pipeline_tag: text-generation
---
this is trained on 180K YouTube comments.
this is trained for 100k steps.
# [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_BreadAi__gpt-Youtube)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 24.86 |
| ARC (25-shot) | 23.29 |
| HellaSwag (10-shot) | 26.34 |
| MMLU (5-shot) | 23.54 |
| TruthfulQA (0-shot) | 48.63 |
| Winogrande (5-shot) | 48.93 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 3.32 |