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 | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 657 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9560 |
| Val Accuracy | 0.8267 |
| Test Accuracy | 0.8348 |
The model was fine-tuned on the following 50 CIFAR100 classes:
apple, pine_tree, wolf, beaver, pickup_truck, butterfly, crocodile, cattle, leopard, crab, beetle, baby, camel, fox, telephone, otter, kangaroo, rocket, snail, squirrel, caterpillar, elephant, lawn_mower, mouse, shrew, raccoon, streetcar, wardrobe, man, bear, girl, shark, television, can, house, boy, spider, lizard, chair, bridge, snake, plate, dinosaur, trout, aquarium_fish, lobster, mushroom, flatfish, porcupine, pear
Base model
facebook/dino-vitb16