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 | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 834 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.4201 |
| Val Accuracy | 0.3696 |
| Test Accuracy | 0.3688 |
The model was fine-tuned on the following 50 CIFAR100 classes:
can, bridge, elephant, lizard, bed, tractor, maple_tree, wardrobe, bear, butterfly, pine_tree, camel, hamster, worm, bicycle, mouse, streetcar, leopard, lawn_mower, crab, chimpanzee, road, whale, cockroach, forest, cloud, motorcycle, aquarium_fish, skunk, ray, turtle, lamp, bee, cup, house, train, snail, trout, rose, plain, rabbit, pear, baby, bus, possum, bottle, sweet_pepper, poppy, mountain, kangaroo
Base model
facebook/dino-vitb16