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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 509 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.3129 |
| Val Accuracy | 0.2813 |
| Test Accuracy | 0.2956 |
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, caterpillar, boy, bridge, pickup_truck, lizard, can, snake, maple_tree, porcupine, sunflower, rocket, plate, spider, cloud, palm_tree, couch, keyboard, elephant, beetle, tulip, crocodile, bicycle, apple, rabbit, fox, wolf, flatfish, pear, bee, poppy, beaver, worm, tractor, lion, train, hamster, ray, tank, mountain, castle, chair, skyscraper, camel, butterfly, sea, girl, shark, wardrobe, mouse
Base model
facebook/dino-vitb16