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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 227 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9165 |
| Test Accuracy | 0.9062 |
The model was fine-tuned on the following 50 CIFAR100 classes:
worm, fox, kangaroo, bottle, woman, man, plate, bed, house, clock, tulip, trout, raccoon, oak_tree, tractor, forest, skyscraper, road, cup, plain, wolf, rose, lion, dolphin, girl, couch, bee, leopard, seal, chair, train, aquarium_fish, rocket, mountain, otter, poppy, streetcar, possum, flatfish, lamp, bicycle, skunk, squirrel, bear, keyboard, palm_tree, beaver, ray, caterpillar, crab
Base model
facebook/dino-vitb16