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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 983 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9986 |
| Val Accuracy | 0.9312 |
| Test Accuracy | 0.9278 |
The model was fine-tuned on the following 50 CIFAR100 classes:
tulip, flatfish, couch, wardrobe, tank, worm, willow_tree, camel, palm_tree, cloud, lion, streetcar, shark, lobster, lizard, crab, clock, bus, oak_tree, girl, dinosaur, bear, lawn_mower, skunk, lamp, shrew, pickup_truck, apple, whale, hamster, bowl, raccoon, aquarium_fish, woman, tiger, sunflower, mountain, train, orchid, beetle, cockroach, crocodile, telephone, turtle, sweet_pepper, squirrel, motorcycle, porcupine, wolf, cattle
Base model
facebook/dino-vitb16