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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 236 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9283 |
| Test Accuracy | 0.9342 |
The model was fine-tuned on the following 50 CIFAR100 classes:
kangaroo, oak_tree, butterfly, lion, whale, turtle, skunk, sunflower, bridge, sea, chimpanzee, raccoon, shark, cloud, worm, skyscraper, caterpillar, pine_tree, castle, television, pickup_truck, streetcar, apple, plain, porcupine, leopard, rose, bed, orchid, bus, squirrel, spider, willow_tree, motorcycle, shrew, bear, tiger, wardrobe, tulip, lamp, trout, bottle, flatfish, man, elephant, rabbit, orange, poppy, girl, snail
Base model
facebook/dino-vitb16