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 | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 214 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9200 |
| Test Accuracy | 0.9096 |
The model was fine-tuned on the following 50 CIFAR100 classes:
bicycle, motorcycle, beaver, cattle, skunk, wolf, castle, tank, couch, bridge, bed, bear, cloud, house, crocodile, pine_tree, sweet_pepper, turtle, flatfish, leopard, lion, spider, rose, tractor, aquarium_fish, mouse, bus, girl, sea, television, fox, otter, boy, beetle, oak_tree, telephone, bowl, trout, lobster, maple_tree, palm_tree, kangaroo, tiger, bottle, woman, caterpillar, mountain, plate, baby, man
Base model
facebook/dino-vitb16