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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 729 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9985 |
| Val Accuracy | 0.9085 |
| Test Accuracy | 0.9046 |
The model was fine-tuned on the following 50 CIFAR100 classes:
sunflower, train, snail, bear, bed, telephone, palm_tree, pickup_truck, couch, oak_tree, plain, girl, caterpillar, rose, crab, plate, motorcycle, ray, house, porcupine, wolf, bowl, bus, otter, aquarium_fish, tractor, maple_tree, man, sweet_pepper, apple, shark, can, cloud, tank, lizard, mushroom, raccoon, bottle, beaver, mouse, wardrobe, cup, boy, worm, hamster, flatfish, whale, pine_tree, lawn_mower, trout
Base model
facebook/dino-vitb16