Model-J: DINO Model (model_idx_0253)
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

Model Details
| Attribute |
Value |
| Subset |
DINO |
| Split |
train |
| Base Model |
facebook/dino-vitb16 |
| Dataset |
CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter |
Value |
| Learning Rate |
0.0001 |
| LR Scheduler |
cosine |
| Epochs |
7 |
| Max Train Steps |
2331 |
| Batch Size |
64 |
| Weight Decay |
0.005 |
| Seed |
253 |
| Random Crop |
False |
| Random Flip |
False |
Performance
| Metric |
Value |
| Train Accuracy |
0.9999 |
| Val Accuracy |
0.9019 |
| Test Accuracy |
0.8952 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
skyscraper, leopard, plate, clock, spider, road, mountain, elephant, cockroach, poppy, dolphin, woman, keyboard, pear, turtle, bus, oak_tree, caterpillar, tractor, streetcar, sea, chair, wolf, beetle, telephone, bed, house, beaver, sunflower, flatfish, girl, snake, baby, whale, rose, lizard, bee, couch, camel, mouse, maple_tree, crocodile, boy, lion, kangaroo, forest, pickup_truck, willow_tree, trout, castle