Binary Classification on TABFACT (test)
81.6AccuracyTABLEFORMER
Evaluation results
| Method | Links | |
|---|---|---|
| TABLEFORMERModel Scale=LARGE, Intermediate Pre-training=true, Perturbation=None2022.03 | 81.6 | |
| TABLEFORMERModel Scale=LARGE, Intermediate Pre-training=true, Perturbation=Yes2022.03 | 81.6 | |
| Eisenschlos et al. (2021)Perturbation=None2022.03 | 81.4 | |
| Eisenschlos et al. (2020)Perturbation=None2022.03 | 81 | |
| TAPASModel Scale=LARGE, Intermediate Pre-training=true, Perturbation=None2022.03 | 80.6 | |
| TABLEFORMERModel Scale=BASE, Intermediate Pre-training=true, Perturbation=None2022.03 | 79.2 | |
| TABLEFORMERModel Scale=BASE, Intermediate Pre-training=true, Perturbation=Yes2022.03 | 79.2 | |
| TAPASModel Scale=LARGE, Intermediate Pre-training=true, Perturbation=Yes2022.03 | 79.2 | |
| TAPASModel Scale=BASE, Intermediate Pre-training=true, Perturbation=None2022.03 | 77.9 | |
| TABLEFORMERModel Scale=LARGE, Intermediate Pre-training=false, Perturbation=None2022.03 | 77 | |
| TABLEFORMERModel Scale=LARGE, Intermediate Pre-training=false, Perturbation=Yes2022.03 | 77 | |
| TAPASModel Scale=BASE, Intermediate Pre-training=true, Perturbation=Yes2022.03 | 76.8 | |
| TABLEFORMERModel Scale=BASE, Intermediate Pre-training=false, Perturbation=None2022.03 | 75 | |
| TABLEFORMERModel Scale=BASE, Intermediate Pre-training=false, Perturbation=Yes2022.03 | 75 | |
| TAPASModel Scale=LARGE, Intermediate Pre-training=false, Perturbation=None2022.03 | 74.5 | |
| TAPASModel Scale=LARGE, Intermediate Pre-training=false, Perturbation=Yes2022.03 | 73.7 | |
| TAPASModel Scale=BASE, Intermediate Pre-training=false, Perturbation=None2022.03 | 72.3 | |
| TAPASModel Scale=BASE, Intermediate Pre-training=false, Perturbation=Yes2022.03 | 71.2 |