Text Classification On Yelp 2
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| xlnet-generalized-autoregressive-pretraining | 98.63% |
| unsupervised-data-augmentation-1 | 97.95% |
| sampling-bias-in-deep-active-classification | 97.1% |
| how-to-fine-tune-bert-for-text-classification | 98.08% |
| fine-tuning-pre-trained-language-model-with | 95.97% |