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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 51 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9923 |
| Val Accuracy | 0.9072 |
| Test Accuracy | 0.9164 |
The model was fine-tuned on the following 50 CIFAR100 classes:
cattle, worm, tiger, skunk, boy, train, skyscraper, bowl, lobster, turtle, wardrobe, hamster, can, mushroom, wolf, bottle, forest, snail, rose, bee, beetle, leopard, bicycle, trout, motorcycle, plain, otter, sea, woman, lizard, rocket, road, porcupine, girl, cockroach, house, man, mouse, dolphin, bear, spider, poppy, streetcar, kangaroo, crocodile, dinosaur, butterfly, couch, plate, chimpanzee
Base model
facebook/dino-vitb16