Table To Text Generation On E2E
Métriques
BLEU
CIDEr
METEOR
NIST
ROUGE-L
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | BLEU | CIDEr | METEOR | NIST | ROUGE-L | Paper Title | Repository |
|---|---|---|---|---|---|---|---|
| HTLM (fine-tuning) | 70.3 | 2.47 | 46.3 | 8.90 | 70.8 | HTLM: Hyper-Text Pre-Training and Prompting of Language Models | - |
| GPT-2-Large (fine-tuning) | 68.5 | 2.45 | 46.0 | 8.78 | 69.9 | HTLM: Hyper-Text Pre-Training and Prompting of Language Models | - |
0 of 2 row(s) selected.