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 | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 974 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9272 |
| Test Accuracy | 0.9302 |
The model was fine-tuned on the following 50 CIFAR100 classes:
chimpanzee, mountain, kangaroo, tiger, turtle, aquarium_fish, fox, porcupine, lamp, cloud, bee, cattle, motorcycle, couch, shark, sunflower, forest, bowl, squirrel, willow_tree, snake, bicycle, possum, ray, skyscraper, rose, sea, snail, palm_tree, pickup_truck, man, can, wardrobe, lion, rabbit, woman, pear, orange, sweet_pepper, television, baby, plate, boy, plain, streetcar, road, leopard, camel, train, seal
Base model
facebook/dino-vitb16