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 | 0.0005 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 879 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.3249 |
| Val Accuracy | 0.2936 |
| Test Accuracy | 0.3040 |
The model was fine-tuned on the following 50 CIFAR100 classes:
otter, forest, crocodile, crab, trout, chair, snail, lizard, rocket, elephant, streetcar, beetle, clock, squirrel, shark, wolf, bowl, table, keyboard, cloud, worm, bus, porcupine, rabbit, mouse, chimpanzee, orange, caterpillar, sea, oak_tree, house, lamp, woman, seal, orchid, pear, plate, tractor, motorcycle, lawn_mower, train, whale, bicycle, apple, mushroom, bear, bee, dolphin, cup, man
Base model
facebook/dino-vitb16