Binary Classification on TABFACT (dev)
0.82AccuracyTABLEFORMER
Evaluation results
| Method | Links | |
|---|---|---|
| TABLEFORMERModel Scale=LARGE, Intermediate Pre-training=true, Perturbation=None2022.03 | 0.82 | |
| Eisenschlos et al. (2020)Perturbation=None2022.03 | 0.81 | |
| TAPASModel Scale=LARGE, Intermediate Pre-training=true, Perturbation=None2022.03 | 0.806 | |
| TABLEFORMERModel Scale=BASE, Intermediate Pre-training=true, Perturbation=None2022.03 | 0.797 | |
| TAPASModel Scale=BASE, Intermediate Pre-training=true, Perturbation=None2022.03 | 0.784 | |
| TABLEFORMERModel Scale=LARGE, Intermediate Pre-training=false, Perturbation=None2022.03 | 0.772 | |
| TABLEFORMERModel Scale=BASE, Intermediate Pre-training=false, Perturbation=None2022.03 | 0.751 | |
| TAPASModel Scale=LARGE, Intermediate Pre-training=false, Perturbation=None2022.03 | 0.747 | |
| TAPASModel Scale=BASE, Intermediate Pre-training=false, Perturbation=None2022.03 | 0.728 |