Performance Prediction on CQA (R^2, MAE)
0.89Train R^2Rphi
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RphiScaling Scenario=1B -> 13B, Phase Transition=Pre-to-Pre2025.09 | 0.89 | 2.203 | |
| RBRIDGEScaling Scenario=1B -> 13B, Phase Transition=Pre-to-Pre2025.09 | 0.89 | 2.182 | |
| TEDScaling Scenario=1B -> 13B, Phase Transition=Pre-to-Pre2025.09 | 0.677 | 3.01 | |
| Acc./p@1Scaling Scenario=1B -> 13B, Phase Transition=Pre-to-Pre2025.09 | 0.666 | 3.989 | |
| iSFTScaling Scenario=1B -> 13B, Phase Transition=Pre-to-Pre2025.09 | 0.534 | 5.885 | |
| MPCAScaling Scenario=1B -> 13B, Phase Transition=Pre-to-Pre2025.09 | 0.323 | 1,697.096 | |
| NLLScaling Scenario=1B -> 13B, Phase Transition=Pre-to-Pre2025.09 | 0.139 | 5.483 |