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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 353 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9979 |
| Val Accuracy | 0.9149 |
| Test Accuracy | 0.9204 |
The model was fine-tuned on the following 50 CIFAR100 classes:
lobster, snail, baby, bowl, shrew, lawn_mower, can, apple, ray, tiger, wolf, turtle, otter, bridge, cloud, streetcar, tulip, skunk, rabbit, beetle, camel, elephant, raccoon, couch, tank, lamp, trout, woman, plate, table, spider, skyscraper, tractor, train, house, lizard, cup, seal, snake, pear, forest, pine_tree, mouse, maple_tree, sweet_pepper, worm, fox, bicycle, motorcycle, leopard
Base model
facebook/dino-vitb16