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 | 0.0003 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 572 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5360 |
| Val Accuracy | 0.4355 |
| Test Accuracy | 0.4246 |
The model was fine-tuned on the following 50 CIFAR100 classes:
keyboard, bus, beetle, shark, seal, sea, lizard, woman, skunk, castle, orange, chair, sunflower, snail, maple_tree, spider, turtle, lobster, raccoon, willow_tree, girl, forest, whale, camel, shrew, snake, bear, tulip, poppy, pear, bee, palm_tree, wolf, boy, house, bottle, flatfish, bowl, tank, possum, trout, man, caterpillar, porcupine, pine_tree, tiger, lion, leopard, lamp, bed
Base model
facebook/dino-vitb16