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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 138 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9857 |
| Val Accuracy | 0.9067 |
| Test Accuracy | 0.9050 |
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, bee, lobster, fox, plain, telephone, apple, willow_tree, bottle, sunflower, castle, sweet_pepper, beetle, bicycle, bed, skyscraper, raccoon, mushroom, skunk, caterpillar, possum, house, pear, snail, hamster, forest, flatfish, mountain, palm_tree, rose, lizard, boy, mouse, lion, aquarium_fish, wardrobe, oak_tree, crocodile, couch, wolf, porcupine, rocket, cloud, tractor, dinosaur, lawn_mower, chimpanzee, sea, spider, bus
Base model
facebook/dino-vitb16