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 | 0.0005 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 427 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.2446 |
| Val Accuracy | 0.2325 |
| Test Accuracy | 0.2318 |
The model was fine-tuned on the following 50 CIFAR100 classes:
girl, shark, cup, apple, tiger, mouse, crab, kangaroo, telephone, rabbit, bicycle, bus, rocket, pine_tree, cockroach, palm_tree, skyscraper, snake, bowl, bear, otter, elephant, tulip, plain, beetle, maple_tree, castle, television, house, willow_tree, lobster, spider, chimpanzee, boy, whale, aquarium_fish, wolf, shrew, pear, possum, can, poppy, snail, lizard, plate, sunflower, orange, orchid, road, trout
Base model
facebook/dino-vitb16