Sleep Staging on SHHS EEG (test)
87.7Overall AccuracySleepTransformer
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| SleepTransformerModel Category=Specialized (non-FM) Model2026.02 | 87.7 | 0.83 | 80.1 | 78.7 | 96.5 | 92.2 | 46.1 | 88.3 | 85.2 | 88.6 | |
| XSleepNet1Model Category=Specialized (non-FM) Model2026.02 | 87.6 | 0.83 | 80.7 | 79.7 | 96.5 | 91.6 | 51.4 | 88.5 | 85 | 88.4 | |
| L-SeqSleepNetModel Category=Specialized (non-FM) Model2026.02 | 87.6 | 0.83 | 80.3 | 79.4 | 96.5 | 92.4 | 48.6 | 88.2 | 83.9 | 88.5 | |
| XSleepNet2Model Category=Specialized (non-FM) Model2026.02 | 87.5 | 0.83 | 81 | 80.4 | 96.5 | 92 | 49.9 | 88.3 | 85 | 88.2 | |
| sleep2vecModel Category=Foundation Model2026.02 | 87.4 | 0.82 | 77.3 | 76.2 | 96.1 | 92.4 | 40.1 | 86.5 | 77.7 | 88.7 | |
| SleepFMModel Category=Foundation Model, reproduced baseline=true2026.02 | 86.3 | 0.81 | 76.3 | 75.3 | 96.1 | 93.2 | 36.6 | 86.3 | 77.3 | 88.1 | |
| AttnSleepModel Category=Specialized (non-FM) Model2026.02 | 84.2 | 0.78 | — | — | 75.3 | 86.7 | 33.2 | 87.1 | 87.1 | 82.1 | |
| DeepSleepNetModel Category=Specialized (non-FM) Model2026.02 | 81 | 0.73 | — | — | 73.9 | 85.4 | 40.5 | 82.5 | 79.3 | 81.9 | |
| SleepEEGNetModel Category=Specialized (non-FM) Model2026.02 | 73.9 | 0.65 | — | — | 68.4 | 81.3 | 34.4 | 73.4 | 75.9 | 77 |