Multi-label classification on WM Nicol
94.7Micro-F1SNAIL
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SNAILTraining Regime=Metric Learners, Thresholding Methodology=Rapt#2026.05 | 94.7 | 86.94 | |
| ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt#2026.05 | 94.67 | 87.04 | |
| ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt>=2026.05 | 94.26 | 86.48 | |
| RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt#2026.05 | 94.24 | 86.36 | |
| RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt>=2026.05 | 94.16 | 85.87 | |
| MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt#2026.05 | 94.11 | 86.07 | |
| MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt>=2026.05 | 93.78 | 85.02 | |
| ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Base*l2026.05 | 93.78 | 84.67 | |
| RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Base*l2026.05 | 93.57 | 86 | |
| RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Base0.52026.05 | 93.32 | 83.34 | |
| MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Base0.52026.05 | 93.24 | 84.41 | |
| MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Base*2026.05 | 93.21 | 81.11 | |
| ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Base*2026.05 | 93.01 | 78.33 | |
| ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Base0.52026.05 | 92.83 | 78.53 | |
| MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Base*l2026.05 | 92.22 | 83.54 | |
| RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Base*2026.05 | 91.47 | 73.91 | |
| SNAILTraining Regime=Metric Learners, Thresholding Methodology=Rapt>=2026.05 | 90.47 | 81.46 | |
| SNAILTraining Regime=Metric Learners, Thresholding Methodology=Base0.52026.05 | 88.53 | 46.96 | |
| SNAILTraining Regime=Metric Learners, Thresholding Methodology=Base*2026.05 | 88.53 | 46.96 | |
| deberta-v3-largeTraining Regime=Fully Fine-tuned Models, Thresholding Methodology=Base*l2026.05 | 85.65 | 78.86 | |
| deberta-v3-largeTraining Regime=Fully Fine-tuned Models, Thresholding Methodology=Rapt#2026.05 | 85.12 | 79.57 | |
| bert-baseTraining Regime=Fully Fine-tuned Models, Thresholding Methodology=Base*l2026.05 | 84.12 | 76.88 | |
| bert-baseTraining Regime=Fully Fine-tuned Models, Thresholding Methodology=Rapt#2026.05 | 84.1 | 77.53 | |
| bert-baseTraining Regime=Head-Only Fine-tuned Models, Thresholding Methodology=Rapt#2026.05 | 80.18 | 63.12 | |
| SNAILTraining Regime=Metric Learners, Thresholding Methodology=Base*l2026.05 | 79.77 | 45.83 | |
| bert-baseTraining Regime=Pretrained Models, Thresholding Methodology=Rapt#2026.05 | 78.68 | 63.12 | |
| deberta-v3-baseTraining Regime=Head-Only Fine-tuned Models, Thresholding Methodology=Rapt#2026.05 | 78.27 | 62.87 | |
| deberta-v3-baseTraining Regime=Pretrained Models, Thresholding Methodology=Rapt#2026.05 | 77.14 | 61.49 | |
| bert-largeTraining Regime=Pretrained Models, Thresholding Methodology=Rapt#2026.05 | 76.64 | 59.99 | |
| deberta-v3-largeTraining Regime=Pretrained Models, Thresholding Methodology=Rapt#2026.05 | 74.56 | 55.78 | |
| bert-largeTraining Regime=Pretrained Models, Thresholding Methodology=Base0.52026.05 | 24.38 | 15.1 | |
| deberta-v3-baseTraining Regime=Pretrained Models, Thresholding Methodology=Base0.52026.05 | 24.14 | 14.37 | |
| deberta-v3-largeTraining Regime=Pretrained Models, Thresholding Methodology=Base0.52026.05 | 23.04 | 10.13 | |
| bert-baseTraining Regime=Pretrained Models, Thresholding Methodology=Base0.52026.05 | 21.66 | 9.63 | |
| deberta-v3-baseTraining Regime=Head-Only Fine-tuned Models, Thresholding Methodology=Base*l2026.05 | 20.91 | 19.01 | |
| bert-baseTraining Regime=Head-Only Fine-tuned Models, Thresholding Methodology=Base0.52026.05 | 0 | 0 |