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 | 9e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 852 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9616 |
| Val Accuracy | 0.8488 |
| Test Accuracy | 0.8428 |
The model was fine-tuned on the following 50 CIFAR100 classes:
woman, orange, table, girl, bowl, pear, kangaroo, whale, bed, television, forest, squirrel, sea, beetle, rabbit, raccoon, castle, chair, telephone, plate, shrew, cloud, seal, beaver, sunflower, tulip, bottle, tiger, maple_tree, mouse, road, skyscraper, tank, keyboard, elephant, porcupine, caterpillar, willow_tree, oak_tree, lobster, cattle, bee, crocodile, house, motorcycle, snail, lawn_mower, cup, apple, leopard
Base model
facebook/dino-vitb16