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 | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 385 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.3876 |
| Val Accuracy | 0.3576 |
| Test Accuracy | 0.3648 |
The model was fine-tuned on the following 50 CIFAR100 classes:
beaver, lawn_mower, rabbit, ray, streetcar, lizard, plain, keyboard, sunflower, sweet_pepper, otter, lion, castle, tulip, chimpanzee, snail, bridge, telephone, beetle, worm, bee, road, pickup_truck, dinosaur, cattle, aquarium_fish, bed, orange, possum, tank, baby, mouse, cloud, dolphin, tractor, squirrel, palm_tree, orchid, train, mountain, shark, wardrobe, lobster, leopard, cockroach, trout, hamster, rocket, willow_tree, can
Base model
facebook/dino-vitb16