M2FNet-Text
Reported on 5 benchmarks across 1 task · 1 paper · 1 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Audio5 results
- Macro-F1· 2022-06-05SOTA66.38
- Accuracy· 2022-06-0567.24best: 68.7 (ELR-GNN)
- Weighted-F1· 2022-06-0566.23best: 69.9 (ELR-GNN)
- Accuracy· 2022-06-0566.05best: 73.95 (SDT)
- Weighted-F1· 2022-06-0566.2best: 74.08 (SDT)