🧪 Just Another Model Experiment
This is one of many experimental iterations I'm sharing publicly while I mess around with training parameters and ideas. It's not a "real" release - just me being transparent about my learning process. Feel free to look under the hood, but don't expect anything production-ready!
SmolNemo-12B-FFT-experimental
Mahou-1.5-mistral-nemo-12B-lorablated finetuned on HuggingFaceTB/smoltalk.
This model has erratic behavior and poor performance
Method
SFT with 8x A100 for 0.1 epochs.
This was a full finetune. I think the issues with the model can be chalked up to conflicts with Mistral Instruct and ChatML.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 8.32 |
| IFEval (0-Shot) | 33.48 |
| BBH (3-Shot) | 6.54 |
| MATH Lvl 5 (4-Shot) | 0.23 |
| GPQA (0-shot) | 1.34 |
| MuSR (0-shot) | 5.92 |
| MMLU-PRO (5-shot) | 2.41 |
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Model tree for nbeerbower/SmolNemo-12B-FFT-experimental
Dataset used to train nbeerbower/SmolNemo-12B-FFT-experimental
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard33.480
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard6.540
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.230
- acc_norm on GPQA (0-shot)Open LLM Leaderboard1.340
- acc_norm on MuSR (0-shot)Open LLM Leaderboard5.920
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard2.410