Text Classification On Mr
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| transformers-are-short-text-classifiers-a | 86.94 |
| transformers-are-short-text-classifiers-a | 86.02 |
| transformers-are-short-text-classifiers-a | 88.97 |
| transformers-are-short-text-classifiers-a | 89.53 |
| transformers-are-short-text-classifiers-a | 85.31 |
| transformers-are-short-text-classifiers-a | 89.42 |
| simple-spectral-graph-convolution | 76.7 |
| vector-of-locally-aggregated-word-embeddings | 93.3 |
| bertgcn-transductive-text-classification-by | 89.7 |
| transformers-are-short-text-classifiers-a | 90.21 |