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 | 0.0003 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 263 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.7750 |
| Val Accuracy | 0.4987 |
| Test Accuracy | 0.5152 |
The model was fine-tuned on the following 50 CIFAR100 classes:
train, mouse, road, cup, ray, whale, wardrobe, lamp, castle, lizard, squirrel, cockroach, pine_tree, keyboard, lobster, porcupine, streetcar, poppy, turtle, cloud, plain, palm_tree, shark, leopard, tiger, caterpillar, hamster, spider, worm, camel, beetle, sea, orchid, skunk, man, maple_tree, rose, tulip, bridge, fox, trout, dolphin, flatfish, skyscraper, sunflower, willow_tree, seal, motorcycle, mushroom, orange
Base model
facebook/dino-vitb16