Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 73.85 |
| AI2 Reasoning Challenge (25-Shot) | 70.48 |
| HellaSwag (10-Shot) | 88.76 |
| MMLU (5-Shot) | 66.94 |
| TruthfulQA (0-shot) | 67.01 |
| Winogrande (5-shot) | 83.50 |
| GSM8k (5-shot) | 66.41 |
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Model tree for vicgalle/OpenBeagle-11B
Dataset used to train vicgalle/OpenBeagle-11B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard70.480
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.760
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard66.940
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard67.010
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.500
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard66.410