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 | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 253 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9019 |
| Test Accuracy | 0.8952 |
The model was fine-tuned on the following 50 CIFAR100 classes:
skyscraper, leopard, plate, clock, spider, road, mountain, elephant, cockroach, poppy, dolphin, woman, keyboard, pear, turtle, bus, oak_tree, caterpillar, tractor, streetcar, sea, chair, wolf, beetle, telephone, bed, house, beaver, sunflower, flatfish, girl, snake, baby, whale, rose, lizard, bee, couch, camel, mouse, maple_tree, crocodile, boy, lion, kangaroo, forest, pickup_truck, willow_tree, trout, castle
Base model
facebook/dino-vitb16