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 | 0.0003 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 721 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5350 |
| Val Accuracy | 0.4245 |
| Test Accuracy | 0.4418 |
The model was fine-tuned on the following 50 CIFAR100 classes:
tiger, forest, man, hamster, flatfish, bottle, keyboard, bowl, bear, tank, crab, aquarium_fish, tulip, turtle, lizard, skunk, whale, sunflower, rabbit, caterpillar, lion, beaver, sea, cloud, table, television, apple, pear, mouse, castle, kangaroo, boy, worm, poppy, porcupine, dinosaur, lobster, motorcycle, house, leopard, oak_tree, willow_tree, telephone, fox, couch, seal, palm_tree, mushroom, cup, lamp
Base model
facebook/dino-vitb16