Long-text classification on Hyperpartisan news detection (test)
98.11F1 ScoreRMT RoBERTa-base
Evaluation Results
| Method | Links | |
|---|---|---|
| RMT RoBERTa-baseInput Size=512, Number of Segments=42022.07 | 98.11 | |
| RMT RoBERTa-baseInput Size=512, Number of Segments=22022.07 | 97.2 | |
| RMT T5-baseInput Size=512, Number of Segments=42022.07 | 97.2 | |
| RMT DeBERTa-V3-baseInput Size=512, Number of Segments=22022.07 | 96.78 | |
| RMT RoBERTa-baseInput Size=512, Number of Segments=32022.07 | 96.72 | |
| ERNIE-Doc-LargeInput Size=640, Number of Segments=12022.07 | 96.6 | |
| Graph-RoBERTaInput Size=512x100, Number of Segments=12022.07 | 96.15 | |
| RMT T5-baseInput Size=512, Number of Segments=32022.07 | 96.12 | |
| RMT T5-baseInput Size=512, Number of Segments=22022.07 | 95.32 | |
| RMT T5-baseInput Size=512, Number of Segments=12022.07 | 94.99 | |
| RMT RoBERTa-baseInput Size=512, Number of Segments=12022.07 | 94.87 | |
| LongformerInput Size=4096, Number of Segments=12022.07 | 94.8 | |
| RMT DeBERTa-V3-baseInput Size=512, Number of Segments=32022.07 | 94.8 | |
| RMT DeBERTa-V3-baseInput Size=512, Number of Segments=42022.07 | 94.8 | |
| RMT BERT-base-casedInput Size=512, Number of Segments=42022.07 | 94.34 | |
| RMT DeBERTa-V3-baseInput Size=512, Number of Segments=12022.07 | 94.17 | |
| RMT BERT-base-casedInput Size=512, Number of Segments=22022.07 | 94.12 | |
| RMT BERT-base-casedInput Size=512, Number of Segments=32022.07 | 93.06 | |
| ERNIE-SparseInput Size=4096, Number of Segments=12022.07 | 92.81 | |
| Big BirdInput Size=4096, Number of Segments=12022.07 | 92.2 | |
| RMT BERT-base-casedInput Size=512, Number of Segments=12022.07 | 91.6 |