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 | 0.0005 |
| LR Scheduler | constant |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 556 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.2684 |
| Val Accuracy | 0.2496 |
| Test Accuracy | 0.2550 |
The model was fine-tuned on the following 50 CIFAR100 classes:
snail, flatfish, kangaroo, butterfly, squirrel, pear, train, mountain, dinosaur, rabbit, orange, mouse, streetcar, mushroom, porcupine, tulip, lobster, snake, oak_tree, cloud, plain, shark, whale, bus, road, orchid, pine_tree, boy, beaver, raccoon, leopard, woman, tiger, cup, aquarium_fish, television, clock, camel, crab, skunk, spider, sweet_pepper, willow_tree, seal, bee, apple, sunflower, motorcycle, palm_tree, crocodile
Base model
facebook/dino-vitb16