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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 579 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9975 |
| Val Accuracy | 0.9053 |
| Test Accuracy | 0.9038 |
The model was fine-tuned on the following 50 CIFAR100 classes:
otter, trout, shrew, shark, bear, leopard, sunflower, pear, cup, couch, pine_tree, caterpillar, willow_tree, streetcar, house, bridge, road, fox, rose, ray, tulip, mouse, squirrel, whale, orchid, bottle, chair, woman, tractor, tank, bed, motorcycle, oak_tree, aquarium_fish, beaver, dinosaur, boy, crab, flatfish, lion, plate, palm_tree, beetle, television, lamp, rabbit, lawn_mower, maple_tree, poppy, sweet_pepper
Base model
facebook/dino-vitb16