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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 694 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.3583 |
| Val Accuracy | 0.3144 |
| Test Accuracy | 0.3250 |
The model was fine-tuned on the following 50 CIFAR100 classes:
streetcar, lamp, lobster, flatfish, rabbit, motorcycle, snake, bicycle, tractor, dinosaur, worm, shrew, bottle, woman, caterpillar, sea, pine_tree, lion, pear, cattle, lizard, forest, chair, elephant, keyboard, bowl, castle, dolphin, orange, poppy, cup, maple_tree, rose, beetle, boy, couch, oak_tree, can, fox, otter, orchid, bus, aquarium_fish, telephone, cloud, chimpanzee, wolf, skunk, plain, mouse
Base model
facebook/dino-vitb16