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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 639 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9741 |
| Val Accuracy | 0.8707 |
| Test Accuracy | 0.8774 |
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, table, lion, chimpanzee, pine_tree, maple_tree, turtle, bridge, road, couch, bed, lobster, lizard, lamp, oak_tree, mountain, aquarium_fish, skunk, chair, worm, woman, rocket, apple, elephant, orange, rose, bicycle, man, lawn_mower, cloud, bee, trout, fox, spider, butterfly, hamster, streetcar, wardrobe, train, mushroom, caterpillar, skyscraper, beetle, house, dolphin, crab, leopard, telephone, sunflower, tank
Base model
facebook/dino-vitb16