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ResearchFormerly WizWand

Multi-label classification on WM Nicol

94.7Micro-F1SNAIL
-3.78821.78147.3572.919May 15, 2026
Updated 5mo ago

Evaluation results

MethodLinks
SNAILTraining Regime=Metric Learners, Thresholding Methodology=Rapt#2026.0594.786.94
ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt#2026.0594.6787.04
ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt>=2026.0594.2686.48
RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt#2026.0594.2486.36
RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt>=2026.0594.1685.87
MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt#2026.0594.1186.07
MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Rapt>=2026.0593.7885.02
ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Base*l2026.0593.7884.67
RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Base*l2026.0593.5786
RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Base0.52026.0593.3283.34
MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Base0.52026.0593.2484.41
MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Base*2026.0593.2181.11
ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Base*2026.0593.0178.33
ProtoNetTraining Regime=Metric Learners, Thresholding Methodology=Base0.52026.0592.8378.53
MatchingNetTraining Regime=Metric Learners, Thresholding Methodology=Base*l2026.0592.2283.54
RelationNetTraining Regime=Metric Learners, Thresholding Methodology=Base*2026.0591.4773.91
SNAILTraining Regime=Metric Learners, Thresholding Methodology=Rapt>=2026.0590.4781.46
SNAILTraining Regime=Metric Learners, Thresholding Methodology=Base0.52026.0588.5346.96
SNAILTraining Regime=Metric Learners, Thresholding Methodology=Base*2026.0588.5346.96
deberta-v3-largeTraining Regime=Fully Fine-tuned Models, Thresholding Methodology=Base*l2026.0585.6578.86
deberta-v3-largeTraining Regime=Fully Fine-tuned Models, Thresholding Methodology=Rapt#2026.0585.1279.57
bert-baseTraining Regime=Fully Fine-tuned Models, Thresholding Methodology=Base*l2026.0584.1276.88
bert-baseTraining Regime=Fully Fine-tuned Models, Thresholding Methodology=Rapt#2026.0584.177.53
bert-baseTraining Regime=Head-Only Fine-tuned Models, Thresholding Methodology=Rapt#2026.0580.1863.12
SNAILTraining Regime=Metric Learners, Thresholding Methodology=Base*l2026.0579.7745.83
bert-baseTraining Regime=Pretrained Models, Thresholding Methodology=Rapt#2026.0578.6863.12
deberta-v3-baseTraining Regime=Head-Only Fine-tuned Models, Thresholding Methodology=Rapt#2026.0578.2762.87
deberta-v3-baseTraining Regime=Pretrained Models, Thresholding Methodology=Rapt#2026.0577.1461.49
bert-largeTraining Regime=Pretrained Models, Thresholding Methodology=Rapt#2026.0576.6459.99
deberta-v3-largeTraining Regime=Pretrained Models, Thresholding Methodology=Rapt#2026.0574.5655.78
bert-largeTraining Regime=Pretrained Models, Thresholding Methodology=Base0.52026.0524.3815.1
deberta-v3-baseTraining Regime=Pretrained Models, Thresholding Methodology=Base0.52026.0524.1414.37
deberta-v3-largeTraining Regime=Pretrained Models, Thresholding Methodology=Base0.52026.0523.0410.13
bert-baseTraining Regime=Pretrained Models, Thresholding Methodology=Base0.52026.0521.669.63
deberta-v3-baseTraining Regime=Head-Only Fine-tuned Models, Thresholding Methodology=Base*l2026.0520.9119.01
bert-baseTraining Regime=Head-Only Fine-tuned Models, Thresholding Methodology=Base0.52026.0500