Parameter Efficient Fine Tuning On Winogrande
Métriques
Accuracy (% )
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy (% ) | Paper Title | Repository |
|---|---|---|---|
| LLaMA2-7b | 69.85 | LoRA: Low-Rank Adaptation of Large Language Models | |
| LLaMA2-7b | 70.80 | GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs | |
| LLaMA2-7b | 70.09 | DoRA: Weight-Decomposed Low-Rank Adaptation |
0 of 3 row(s) selected.