Parameter Efficient Fine Tuning On Winogrande
Metrics
Accuracy (% )
Results
Performance results of various models on this benchmark
Model Name | 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 |
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