| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-cifar-10 | ASL (ViT-S, fine-tuning) | – | Percentage correct: 96.5 |
| image-classification-on-cifar-100 | ASL (ViT-S, fine-tuning) | – | Percentage correct: 82.1 |
| image-classification-on-imagenet | ASL (ViT-B, fine-tuning) | – | Top 1 Accuracy: 84.2% |
| object-detection-on-coco-val2017 | ASL (ViT-B, 236k pre-training iterations) | – | box AP: 51.5 |