Dark Humor Detection On Big Bench
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Chinchilla-70B (few-shot, k=5) | 66.2 | Training Compute-Optimal Large Language Models | |
| Gopher-280B (few-shot, k=5) | 83.1 | Scaling Language Models: Methods, Analysis & Insights from Training Gopher |
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