Text Classification on MR (Accuracy, Macro F1)
0.9087AccuracyG-Loss-O + CE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| G-Loss-O + CEBackbone=RoBERTa-large2026.04 | 0.9087 | 0.9087 | |
| G-Loss-SQRT + CEBackbone=RoBERTa-large2026.04 | 0.9053 | 0.9053 | |
| SCL + CEBackbone=RoBERTa-large2026.04 | 0.9021 | 0.902 | |
| CEBackbone=RoBERTa-large2026.04 | 0.8992 | 0.8992 | |
| GLoss-O + CEBackbone=BERT-base-uncased2026.04 | 0.8663 | 0.8661 | |
| GLoss-SQRT + CEBackbone=BERT-base-uncased2026.04 | 0.8617 | 0.8617 | |
| SCL + CEBackbone=BERT-base-uncased2026.04 | 0.8597 | 0.8595 | |
| CEBackbone=BERT-base-uncased2026.04 | 0.8564 | 0.8564 | |
| GLoss-SQRT + CEBackbone=DistilBERT-base2026.04 | 0.8514 | 0.8514 | |
| GLoss-O + CEBackbone=DistilBERT-base2026.04 | 0.851 | 0.851 | |
| CEBackbone=DistilBERT-base2026.04 | 0.8485 | 0.8485 | |
| SCL + CEBackbone=DistilBERT-base2026.04 | 0.8416 | 0.8416 |