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 | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 300 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9615 |
| Val Accuracy | 0.8715 |
| Test Accuracy | 0.8696 |
The model was fine-tuned on the following 50 CIFAR100 classes:
beetle, beaver, streetcar, fox, baby, orchid, maple_tree, elephant, can, spider, tank, dolphin, snail, rabbit, otter, house, caterpillar, raccoon, train, bottle, forest, bridge, bowl, pickup_truck, mountain, hamster, palm_tree, castle, chimpanzee, motorcycle, porcupine, cattle, aquarium_fish, wardrobe, boy, shrew, wolf, bus, mushroom, squirrel, chair, tiger, butterfly, ray, road, skyscraper, rocket, keyboard, bicycle, rose
Base model
facebook/dino-vitb16