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 | 7e-05 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 545 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9996 |
| Val Accuracy | 0.9203 |
| Test Accuracy | 0.9172 |
The model was fine-tuned on the following 50 CIFAR100 classes:
oak_tree, skyscraper, whale, cattle, otter, worm, clock, bicycle, chair, flatfish, orchid, can, couch, television, crocodile, plate, lion, beetle, boy, plain, mouse, rabbit, cloud, poppy, squirrel, apple, bridge, motorcycle, telephone, snake, rose, bowl, seal, lobster, skunk, tractor, chimpanzee, man, train, butterfly, aquarium_fish, beaver, ray, kangaroo, shark, lamp, pear, lizard, sunflower, possum
Base model
facebook/dino-vitb16