| Benchmark | Model | Rank | Results |
|---|---|---|---|
| self-supervised-image-classification-on-imagenet | Mugs (VIT-L/16) | #13 | Top 1 Accuracy: 82.1%Number of Params: 307M |
| self-supervised-image-classification-on-imagenet-finetuned | Mugs (ViT-L/16) | #25 | Top 1 Accuracy: 85.2%Number of Params: 307M |
| self-supervised-image-classification-on-imagenet-finetuned | Mugs (ViT-B/16) | #32 | Top 1 Accuracy: 84.3%Number of Params: 85M |
| self-supervised-image-classification-on-imagenet-finetuned | Mugs (ViT-S/16) | #50 | Top 1 Accuracy: 82.6%Number of Params: 21M |