Parameter Efficient Fine Tuning On Winogrande
评估指标
Accuracy (% )
评测结果
各个模型在此基准测试上的表现结果
比较表格
模型名称 | Accuracy (% ) |
---|---|
lora-low-rank-adaptation-of-large-language | 69.85 |
gift-sw-gaussian-noise-injected-fine-tuning | 70.80 |
dora-weight-decomposed-low-rank-adaptation | 70.09 |