Image Classification on Flowers102 (test val)
96.1Top-1 AccuracyLR-LoRA
Evaluation results
| Method | Links | |
|---|---|---|
| LR-LoRABackbone=CLIP ViT-B/32, Rank (r)=16, Adapter Placement=attention and MLP projections, Number of Seeds=32026.06 | 96.1 | |
| RandLoRABackbone=CLIP ViT-B/32, Rank (r)=16, Adapter Placement=attention and MLP projections, Number of Seeds=32026.06 | 95.4 | |
| LoRABackbone=CLIP ViT-B/32, Rank (r)=16, Adapter Placement=attention and MLP projections, Number of Seeds=32026.06 | 95.1 | |
| VeRABackbone=CLIP ViT-B/32, Rank (r)=16, Adapter Placement=attention and MLP projections, Number of Seeds=32026.06 | 95 |