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 | 0.0001 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 425 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9674 |
| Val Accuracy | 0.8509 |
| Test Accuracy | 0.8476 |
The model was fine-tuned on the following 50 CIFAR100 classes:
squirrel, willow_tree, house, lobster, palm_tree, bicycle, sea, caterpillar, whale, fox, castle, lizard, wardrobe, skyscraper, pear, beaver, dinosaur, bear, dolphin, tractor, trout, keyboard, porcupine, forest, lion, plain, mountain, kangaroo, leopard, girl, man, bee, snail, chair, wolf, flatfish, crocodile, possum, streetcar, cup, tank, beetle, aquarium_fish, bridge, rabbit, clock, can, elephant, plate, baby
Base model
facebook/dino-vitb16