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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 336 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9363 |
| Val Accuracy | 0.8336 |
| Test Accuracy | 0.8382 |
The model was fine-tuned on the following 50 CIFAR100 classes:
boy, bear, butterfly, crab, woman, chair, porcupine, palm_tree, wolf, hamster, oak_tree, raccoon, lawn_mower, elephant, lizard, ray, man, pine_tree, house, dinosaur, cloud, tank, bicycle, worm, bowl, tractor, chimpanzee, sunflower, leopard, whale, snail, plain, train, aquarium_fish, wardrobe, baby, lamp, streetcar, couch, shrew, snake, lion, maple_tree, poppy, telephone, camel, clock, cup, cattle, caterpillar
Base model
facebook/dino-vitb16