Sentiment Classification on Amazon
92.2AccuracyI-Iter
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| I-IterCalibration category=Learnable, Backbone=T52022.10 | 92.2 | 72.66 | 19.54 | 21.66 | 5.58 | |
| EDACalibration category=Unlearnable, Backbone=T52022.10 | 92 | 96.29 | 4.29 | 2.51 | 82.46 | |
| I-SimulCalibration category=Learnable, Backbone=T52022.10 | 91.87 | 71.72 | 20.15 | 22.38 | 5.09 | |
| EnsembleCalibration category=Unlearnable, Backbone=T52022.10 | 91.57 | 95.78 | 4.21 | 2.88 | 81.14 | |
| LSCalibration category=Unlearnable, Backbone=T52022.10 | 91.25 | 85.75 | 6.78 | 13.14 | 74.09 | |
| VanillaCalibration category=Unlearnable, Backbone=T52022.10 | 91 | 95.65 | 4.86 | 2.97 | 82.05 | |
| TSCalibration category=Unlearnable, Backbone=T52022.10 | 91 | 90.5 | 1.39 | 7.74 | 73.2 | |
| E-MLPCalibration category=Learnable, Backbone=T52022.10 | 91 | 91.34 | 5.13 | 8.66 | 91.31 | |
| E-T5Calibration category=Learnable, Backbone=T52022.10 | 91 | 70.36 | 20.65 | 23.02 | 3.4 | |
| I-VanillaCalibration category=Learnable, Backbone=T52022.10 | 89.14 | 70.03 | 19.11 | 21.79 | 2.91 |