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 | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 836 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5064 |
| Val Accuracy | 0.4187 |
| Test Accuracy | 0.4336 |
The model was fine-tuned on the following 50 CIFAR100 classes:
lamp, whale, sweet_pepper, mountain, bicycle, bridge, orange, ray, forest, butterfly, plain, shrew, tulip, willow_tree, snail, oak_tree, skyscraper, raccoon, seal, cattle, kangaroo, tank, crab, boy, couch, sunflower, house, worm, cloud, beaver, caterpillar, woman, camel, mushroom, bowl, flatfish, beetle, sea, pear, castle, bee, streetcar, possum, cockroach, squirrel, road, tiger, aquarium_fish, elephant, motorcycle
Base model
facebook/dino-vitb16