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_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 700 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9862 |
| Val Accuracy | 0.9181 |
| Test Accuracy | 0.9176 |
The model was fine-tuned on the following 50 CIFAR100 classes:
streetcar, mushroom, chair, bus, shrew, sea, poppy, possum, crab, woman, chimpanzee, bear, keyboard, television, lizard, lobster, cockroach, elephant, bee, lion, lawn_mower, snake, camel, bowl, cloud, trout, couch, tractor, plate, man, otter, palm_tree, worm, castle, tiger, skunk, butterfly, forest, tank, wardrobe, baby, telephone, bottle, snail, crocodile, train, pickup_truck, boy, beetle, orange
Base model
facebook/dino-vitb16