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 | constant |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 383 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9482 |
| Val Accuracy | 0.8208 |
| Test Accuracy | 0.8292 |
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, hamster, dolphin, sunflower, bed, woman, boy, rose, bear, palm_tree, bee, pine_tree, tiger, mouse, cloud, poppy, shark, lobster, streetcar, lion, shrew, lizard, flatfish, telephone, oak_tree, leopard, apple, table, chair, plate, sea, ray, cup, lawn_mower, otter, mountain, bottle, pear, crab, possum, fox, snail, crocodile, orange, baby, train, squirrel, castle, aquarium_fish, kangaroo
Base model
facebook/dino-vitb16