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 | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 559 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9317 |
| Val Accuracy | 0.8429 |
| Test Accuracy | 0.8342 |
The model was fine-tuned on the following 50 CIFAR100 classes:
spider, flatfish, tulip, mouse, sunflower, cattle, bed, bowl, shrew, skyscraper, bus, bridge, table, chimpanzee, cloud, raccoon, tractor, lamp, pine_tree, caterpillar, elephant, girl, turtle, plain, whale, bee, apple, mushroom, house, road, plate, bottle, beaver, dolphin, camel, bicycle, leopard, poppy, ray, tank, snake, wolf, shark, train, butterfly, lion, lawn_mower, dinosaur, television, tiger
Base model
facebook/dino-vitb16