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 | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 433 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9395 |
| Test Accuracy | 0.9244 |
The model was fine-tuned on the following 50 CIFAR100 classes:
shrew, rose, shark, cup, keyboard, road, bus, streetcar, cattle, rocket, lizard, mouse, flatfish, lobster, wardrobe, snail, pickup_truck, hamster, train, oak_tree, dinosaur, squirrel, turtle, crab, plain, possum, pine_tree, beaver, otter, lawn_mower, chimpanzee, telephone, orchid, porcupine, kangaroo, pear, sweet_pepper, bee, sunflower, clock, crocodile, mountain, whale, raccoon, skunk, skyscraper, palm_tree, man, boy, orange
Base model
facebook/dino-vitb16