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 | 0.0001 |
| LR Scheduler | constant |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 650 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9570 |
| Val Accuracy | 0.8493 |
| Test Accuracy | 0.8428 |
The model was fine-tuned on the following 50 CIFAR100 classes:
tulip, lizard, chair, trout, worm, cattle, apple, baby, otter, maple_tree, orchid, house, ray, dolphin, mushroom, train, skyscraper, tractor, motorcycle, bicycle, snake, hamster, wardrobe, bed, table, caterpillar, can, camel, streetcar, bus, clock, couch, palm_tree, spider, rabbit, plate, lion, forest, poppy, willow_tree, sea, pear, lawn_mower, lobster, bottle, elephant, cloud, beetle, plain, snail
Base model
facebook/dino-vitb16