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 | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 77 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.3611 |
| Val Accuracy | 0.3296 |
| Test Accuracy | 0.3298 |
The model was fine-tuned on the following 50 CIFAR100 classes:
snail, rabbit, train, lamp, squirrel, aquarium_fish, camel, porcupine, rose, sunflower, telephone, hamster, elephant, clock, bear, can, pickup_truck, turtle, rocket, trout, dinosaur, tank, shark, road, cockroach, sweet_pepper, fox, apple, worm, chimpanzee, woman, lizard, forest, kangaroo, willow_tree, maple_tree, poppy, bee, streetcar, flatfish, chair, palm_tree, beetle, plate, castle, mountain, keyboard, otter, caterpillar, bed
Base model
facebook/dino-vitb16