Model-J DINO
Collection
1002 items
โข
Updated
This model is part of the Model-J dataset, introduced in:
Learning on Model Weights using Tree Experts (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
๐ Project | ๐ Paper | ๐ป GitHub | ๐ค Dataset
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 699 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5526 |
| Val Accuracy | 0.3507 |
| Test Accuracy | 0.3662 |
The model was fine-tuned on the following 50 CIFAR100 classes:
television, otter, fox, aquarium_fish, crab, house, clock, woman, orange, raccoon, wardrobe, leopard, lamp, bear, castle, lawn_mower, bowl, camel, chimpanzee, orchid, caterpillar, lobster, chair, table, crocodile, beaver, bottle, rocket, bed, lion, spider, pine_tree, can, maple_tree, bicycle, boy, kangaroo, baby, ray, pickup_truck, tulip, road, mountain, tiger, squirrel, streetcar, keyboard, oak_tree, rabbit, hamster
Base model
facebook/dino-vitb16