---
datasets:
- breadlicker45/1m-YA-dataset
train-eval-index:
- config: default
  task: token-classification
  task_id: entity_extraction
  splits:
    eval_split: test
  col_mapping:
    tokens: tokens
    labels: tags
---

# [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-YA-1-1_160M)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 25.21   |
| ARC (25-shot)         | 22.95          |
| HellaSwag (10-shot)   | 27.29    |
| MMLU (5-shot)         | 26.25         |
| TruthfulQA (0-shot)   | 47.02   |
| Winogrande (5-shot)   | 50.67   |
| GSM8K (5-shot)        | 0.0        |
| DROP (3-shot)         | 2.32         |