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 | cosine_with_restarts |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 265 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9197 |
| Test Accuracy | 0.9228 |
The model was fine-tuned on the following 50 CIFAR100 classes:
kangaroo, pear, plain, cloud, beetle, wardrobe, plate, willow_tree, motorcycle, streetcar, oak_tree, crab, lamp, sea, bus, house, whale, orchid, train, lobster, chimpanzee, tractor, skyscraper, ray, leopard, dinosaur, can, boy, raccoon, caterpillar, cattle, tank, lawn_mower, elephant, sweet_pepper, turtle, porcupine, seal, dolphin, wolf, camel, tiger, bowl, mountain, clock, mushroom, apple, lion, bear, keyboard
Base model
facebook/dino-vitb16