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 | 0.0005 |
| LR Scheduler | constant |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 82 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.3475 |
| Val Accuracy | 0.3211 |
| Test Accuracy | 0.3204 |
The model was fine-tuned on the following 50 CIFAR100 classes:
flatfish, couch, raccoon, boy, lizard, skyscraper, dinosaur, kangaroo, tank, mouse, bowl, leopard, rocket, wolf, bicycle, motorcycle, dolphin, caterpillar, squirrel, worm, sweet_pepper, orange, snail, wardrobe, possum, sea, elephant, plain, chair, cloud, pear, girl, tulip, pickup_truck, otter, train, sunflower, mushroom, man, castle, bee, can, bear, apple, tiger, seal, bed, trout, beaver, lion
Base model
facebook/dino-vitb16