Text Classification On Yelp 5
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| big-bird-transformers-for-longer-sequences | 72.16% |
| how-to-fine-tune-bert-for-text-classification | 70.58% |
| xlnet-generalized-autoregressive-pretraining | 72.95% |
| hierarchical-attentional-hybrid-neural | 73.28% |
| sampling-bias-in-deep-active-classification | 67.6% |
| rethinking-complex-neural-network | 68.7% |
| unsupervised-data-augmentation-1 | 67.92% |