Gemma2-Gutenberg-Doppel-9B
UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 finetuned on jondurbin/gutenberg-dpo-v0.1 and nbeerbower/gutenberg2-dpo.
Method
ORPO finetuned using 2x A40 for 3 epochs.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.82 |
| IFEval (0-Shot) | 71.71 |
| BBH (3-Shot) | 41.08 |
| MATH Lvl 5 (4-Shot) | 3.47 |
| GPQA (0-shot) | 10.63 |
| MuSR (0-shot) | 17.30 |
| MMLU-PRO (5-shot) | 34.75 |
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Model tree for nbeerbower/Gemma2-Gutenberg-Doppel-9B
Base model
UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3Datasets used to train nbeerbower/Gemma2-Gutenberg-Doppel-9B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard71.710
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard41.080
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard3.470
- acc_norm on GPQA (0-shot)Open LLM Leaderboard10.630
- acc_norm on MuSR (0-shot)Open LLM Leaderboard17.300
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard34.750