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_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 413 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9331 |
| Test Accuracy | 0.9368 |
The model was fine-tuned on the following 50 CIFAR100 classes:
crab, bicycle, rocket, spider, camel, chimpanzee, mouse, bottle, mushroom, raccoon, pine_tree, mountain, snake, bear, rabbit, sweet_pepper, lizard, television, rose, skunk, poppy, lawn_mower, plain, keyboard, shrew, caterpillar, can, cockroach, cloud, beetle, cattle, wardrobe, leopard, hamster, possum, forest, flatfish, apple, shark, sea, castle, tractor, plate, wolf, bus, train, crocodile, table, clock, pear
Base model
facebook/dino-vitb16