mistral-nemo-gutenberg2-12B-test
mistralai/Mistral-Nemo-Instruct-2407 finetuned on nbeerbower/gutenberg2-dpo.
This model is a test for the sake of benchmarking my gutenberg2 dataset.
Method
Finetuned using an RTX 3090 for 3 epochs.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 20.73 |
| IFEval (0-Shot) | 33.85 |
| BBH (3-Shot) | 32.04 |
| MATH Lvl 5 (4-Shot) | 10.20 |
| GPQA (0-shot) | 8.95 |
| MuSR (0-shot) | 10.97 |
| MMLU-PRO (5-shot) | 28.39 |
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Model tree for nbeerbower/mistral-nemo-gutenberg2-12B-test
Base model
mistralai/Mistral-Nemo-Base-2407
Finetuned
mistralai/Mistral-Nemo-Instruct-2407
Dataset used to train nbeerbower/mistral-nemo-gutenberg2-12B-test
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard33.850
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.040
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard10.200
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.950
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.970
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.390