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 | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 981 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5996 |
| Val Accuracy | 0.4611 |
| Test Accuracy | 0.4698 |
The model was fine-tuned on the following 50 CIFAR100 classes:
apple, keyboard, turtle, shark, bottle, spider, palm_tree, streetcar, forest, crab, bed, can, cup, rabbit, rose, boy, bicycle, lion, fox, poppy, pickup_truck, shrew, squirrel, plain, lawn_mower, plate, cattle, chimpanzee, wolf, cloud, hamster, lizard, kangaroo, telephone, otter, bowl, dinosaur, butterfly, bridge, castle, beaver, sunflower, aquarium_fish, caterpillar, clock, mushroom, leopard, chair, bear, mountain
Base model
facebook/dino-vitb16