gemma2-gutenberg-9B
UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 finetuned on jondurbin/gutenberg-dpo-v0.1.
Method
Finetuned using an RTX 4090 using ORPO for 3 epochs.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 22.61 |
| IFEval (0-Shot) | 27.96 |
| BBH (3-Shot) | 42.36 |
| MATH Lvl 5 (4-Shot) | 1.44 |
| GPQA (0-shot) | 11.74 |
| MuSR (0-shot) | 16.71 |
| MMLU-PRO (5-shot) | 35.47 |
- Downloads last month
- 20
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for nbeerbower/gemma2-gutenberg-9B
Base model
UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3Dataset used to train nbeerbower/gemma2-gutenberg-9B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard27.960
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard42.360
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard1.440
- acc_norm on GPQA (0-shot)Open LLM Leaderboard11.740
- acc_norm on MuSR (0-shot)Open LLM Leaderboard16.710
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard35.470