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 | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 644 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9834 |
| Val Accuracy | 0.8835 |
| Test Accuracy | 0.8904 |
The model was fine-tuned on the following 50 CIFAR100 classes:
television, sunflower, bowl, shrew, cloud, house, flatfish, mountain, beaver, tulip, dinosaur, ray, road, pear, rose, pickup_truck, streetcar, tank, sweet_pepper, camel, skyscraper, worm, hamster, girl, fox, plain, can, maple_tree, lizard, rabbit, lawn_mower, snail, skunk, table, chimpanzee, willow_tree, butterfly, wardrobe, lion, cockroach, plate, crab, train, chair, orchid, trout, tractor, kangaroo, bottle, caterpillar
Base model
facebook/dino-vitb16