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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 679 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9901 |
| Val Accuracy | 0.9029 |
| Test Accuracy | 0.9114 |
The model was fine-tuned on the following 50 CIFAR100 classes:
aquarium_fish, lawn_mower, possum, cup, bee, flatfish, streetcar, sunflower, tank, keyboard, skunk, willow_tree, turtle, crab, fox, mouse, shark, cloud, cattle, mountain, wolf, motorcycle, bear, table, dolphin, whale, bus, orange, forest, plain, bridge, apple, skyscraper, kangaroo, rocket, squirrel, beetle, bed, bicycle, castle, worm, shrew, crocodile, television, spider, tiger, train, porcupine, raccoon, baby
Base model
facebook/dino-vitb16