Text Summarization On Gigaword 10K
Métriques
ROUGE-1
ROUGE-2
ROUGE-L
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | ROUGE-1 | ROUGE-2 | ROUGE-L | Paper Title | Repository |
|---|---|---|---|---|---|
| ERNIE-GENLARGE | 35.05 | 16.10 | 32.50 | ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation | |
| ERNIE-GENBASE | 33.75 | 15.23 | 31.35 | ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation | |
| ERNIE-GENLARGE (large-scale text corpora) | 35.51 | 16.79 | 33.23 | ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation |
0 of 3 row(s) selected.