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 | 0.007 |
| Seed | 341 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9683 |
| Val Accuracy | 0.8744 |
| Test Accuracy | 0.8700 |
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, spider, bed, chair, boy, tank, can, streetcar, orange, bus, beaver, couch, bicycle, motorcycle, train, turtle, clock, orchid, skyscraper, beetle, hamster, woman, cockroach, cup, leopard, bridge, otter, table, raccoon, wardrobe, aquarium_fish, caterpillar, rocket, ray, lobster, oak_tree, mushroom, baby, pickup_truck, bowl, kangaroo, pine_tree, lawn_mower, television, lion, pear, crab, lizard, tulip, whale
Base model
facebook/dino-vitb16