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 | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 877 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9223 |
| Val Accuracy | 0.8165 |
| Test Accuracy | 0.8218 |
The model was fine-tuned on the following 50 CIFAR100 classes:
chair, pear, caterpillar, television, sunflower, porcupine, plain, road, mouse, willow_tree, leopard, baby, beaver, worm, poppy, wolf, bowl, sweet_pepper, turtle, shark, tank, boy, flatfish, sea, man, aquarium_fish, snake, bed, clock, streetcar, can, raccoon, spider, lawn_mower, maple_tree, table, plate, couch, house, butterfly, elephant, bear, rocket, camel, hamster, forest, rose, kangaroo, bicycle, girl
Base model
facebook/dino-vitb16