Final-loss prediction on Marin (In-distribution)
0.0109MAENCPL
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| NCPLTraining Protocol=fine-tuning, Backbone Size=1.7B2026.02 | 0.0109 | 0.0169 | 0.9813 | |
| NCPLTraining Protocol=scratch, Backbone Size=1.7B2026.02 | 0.0119 | 0.0171 | 0.9774 | |
| NCPLTraining Protocol=scratch, Backbone Size=135M2026.02 | 0.014 | 0.0211 | 0.9777 | |
| XGBoost2026.02 | 0.0188 | 0.0277 | 0.9754 | |
| NCPLTraining Protocol=fine-tuning, Backbone Size=1.7B2026.02 | 0.0252 | 0.0475 | — | |
| NCPLTraining Protocol=scratch, Backbone Size=1.7B2026.02 | 0.0289 | 0.0554 | — | |
| XGBoost2026.02 | 0.0305 | 0.0541 | — | |
| NCPLTraining Protocol=scratch, Backbone Size=135M2026.02 | 0.0306 | 0.0527 | — | |
| Per-optimizer Chinchilla2026.02 | 0.0416 | 0.0575 | 0.8268 | |
| Chinchilla Law2026.02 | 0.0566 | 0.0676 | 0.9004 |