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 | 7e-05 |
| LR Scheduler | cosine |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 542 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9957 |
| Val Accuracy | 0.9176 |
| Test Accuracy | 0.9188 |
The model was fine-tuned on the following 50 CIFAR100 classes:
girl, poppy, spider, leopard, woman, kangaroo, house, pine_tree, turtle, skunk, sweet_pepper, beaver, seal, pear, mouse, sea, mushroom, cattle, camel, squirrel, wardrobe, worm, shark, dinosaur, cockroach, bus, possum, tank, chimpanzee, otter, clock, bottle, whale, television, snake, apple, tulip, orchid, porcupine, keyboard, tiger, cup, oak_tree, cloud, boy, tractor, snail, crocodile, pickup_truck, flatfish
Base model
facebook/dino-vitb16