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 | cosine_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 544 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9395 |
| Test Accuracy | 0.9242 |
The model was fine-tuned on the following 50 CIFAR100 classes:
castle, bear, sea, palm_tree, man, couch, plain, aquarium_fish, snail, beetle, forest, bus, mushroom, rose, whale, bicycle, tiger, leopard, spider, seal, tank, bee, cockroach, boy, cup, oak_tree, tulip, dinosaur, bottle, pear, lamp, willow_tree, apple, trout, beaver, orange, pine_tree, pickup_truck, bed, lion, rocket, lizard, train, rabbit, fox, motorcycle, house, kangaroo, skyscraper, caterpillar
Base model
facebook/dino-vitb16