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 |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 912 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5246 |
| Val Accuracy | 0.4432 |
| Test Accuracy | 0.4302 |
The model was fine-tuned on the following 50 CIFAR100 classes:
sunflower, palm_tree, porcupine, table, lawn_mower, skyscraper, sweet_pepper, maple_tree, mountain, rocket, whale, dolphin, bear, seal, clock, girl, cattle, television, tractor, worm, plain, wolf, cloud, bus, spider, lizard, camel, caterpillar, tulip, cockroach, elephant, apple, snail, leopard, kangaroo, plate, shark, lion, rabbit, pickup_truck, bottle, dinosaur, lobster, keyboard, tank, aquarium_fish, road, cup, beaver, streetcar
Base model
facebook/dino-vitb16