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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 173 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9988 |
| Val Accuracy | 0.9205 |
| Test Accuracy | 0.9242 |
The model was fine-tuned on the following 50 CIFAR100 classes:
snake, leopard, wardrobe, skunk, camel, bicycle, caterpillar, aquarium_fish, snail, man, lamp, oak_tree, bed, cloud, tulip, maple_tree, bridge, couch, bowl, motorcycle, sea, crab, cockroach, trout, plain, woman, hamster, seal, bus, lawn_mower, shrew, bee, worm, chair, butterfly, pear, bottle, tractor, forest, lobster, rabbit, chimpanzee, rocket, tiger, raccoon, poppy, road, elephant, mouse, beetle
Base model
facebook/dino-vitb16