| text-classification-on-r8 | DeBERTa | #1 | Accuracy: 98.451 |
| text-classification-on-r8 | C-BERT (ESGNN + BERT) | #2 | Accuracy: 98.28 |
| text-classification-on-r8 | ESGNN | #3 | Accuracy: 98.23 |
| text-classification-on-r8 | BERT | #5 | Accuracy: 98.171 |
| text-classification-on-r8 | SGNN | #6 | Accuracy: 98.09 |
| text-classification-on-r8 | ERNIE 2.0 | #7 | Accuracy: 98.041 |
| text-classification-on-r8 | DistilBERT | #8 | Accuracy: 97.981 |
| text-classification-on-r8 | ALBERTv2 | #10 | Accuracy: 97.62 |
| text-classification-on-r8 | WideMLP | #18 | Accuracy: 96.98 |
| text-classification-on-r8 | fastText | #20 | Accuracy: 96.13 |
| text-classification-on-twitter | ERNIE 2.0 | #1 | Accuracy: 99.97 |
| text-classification-on-twitter | BERT | #2 | Accuracy: 99.96 |
| text-classification-on-twitter | DistilBERT | #3 | Accuracy: 99.96 |
| text-classification-on-mr | DeBERTa | #2 | Accuracy: 90.21 |
| text-classification-on-mr | ERNIE 2.0 (optimized) | #4 | Accuracy: 89.53 |
| text-classification-on-mr | RoBERTa | #5 | Accuracy: 89.42 |
| text-classification-on-mr | ERNIE 2.0 | #6 | Accuracy: 88.97 |
| text-classification-on-mr | BERT | #7 | Accuracy: 86.94 |
| text-classification-on-mr | ALBERTv2 | #8 | Accuracy: 86.02 |
| text-classification-on-mr | DistilBERT | #9 | Accuracy: 85.31 |