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 |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 705 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9605 |
| Val Accuracy | 0.8283 |
| Test Accuracy | 0.8350 |
The model was fine-tuned on the following 50 CIFAR100 classes:
leopard, camel, streetcar, seal, willow_tree, crab, rocket, otter, oak_tree, hamster, boy, lamp, bed, orange, raccoon, house, bee, plate, crocodile, can, butterfly, snail, lion, flatfish, television, rabbit, caterpillar, bottle, dinosaur, porcupine, maple_tree, pine_tree, spider, sweet_pepper, dolphin, lobster, aquarium_fish, wardrobe, cockroach, skunk, kangaroo, whale, forest, sunflower, worm, bowl, shrew, cattle, tank, bus
Base model
facebook/dino-vitb16