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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 107 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9894 |
| Val Accuracy | 0.9136 |
| Test Accuracy | 0.9182 |
The model was fine-tuned on the following 50 CIFAR100 classes:
wolf, ray, plate, telephone, chimpanzee, rose, bee, tulip, house, motorcycle, forest, apple, lobster, baby, raccoon, worm, cloud, mountain, woman, dolphin, orchid, boy, tiger, skunk, shark, bridge, mouse, willow_tree, lizard, man, palm_tree, butterfly, caterpillar, possum, kangaroo, seal, bus, chair, sea, rabbit, poppy, aquarium_fish, clock, fox, beaver, pine_tree, leopard, pear, pickup_truck, lion
Base model
facebook/dino-vitb16