mistral-nemo-wissenschaft-12B
mistralai/Mistral-Nemo-Instruct-2407 finetuned on tasksource/ScienceQA_text_only.
Method
Finetuned using an A100 on Google Colab for 1 epoch. Correct answers were selected as the chosen answer, a random wrong answer was selected as "rejected."
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 24.58 |
| IFEval (0-Shot) | 65.20 |
| BBH (3-Shot) | 29.57 |
| MATH Lvl 5 (4-Shot) | 6.57 |
| GPQA (0-shot) | 5.70 |
| MuSR (0-shot) | 12.29 |
| MMLU-PRO (5-shot) | 28.14 |
- Downloads last month
- 2,745
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for nbeerbower/mistral-nemo-wissenschaft-12B
Base model
mistralai/Mistral-Nemo-Base-2407
Finetuned
mistralai/Mistral-Nemo-Instruct-2407
Dataset used to train nbeerbower/mistral-nemo-wissenschaft-12B
Spaces using nbeerbower/mistral-nemo-wissenschaft-12B 3
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard65.200
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard29.570
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard6.570
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.700
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.290
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.140