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 | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 566 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9873 |
| Val Accuracy | 0.9152 |
| Test Accuracy | 0.9020 |
The model was fine-tuned on the following 50 CIFAR100 classes:
skunk, aquarium_fish, camel, plain, pine_tree, possum, lawn_mower, bee, clock, porcupine, turtle, apple, wardrobe, motorcycle, lizard, mountain, snake, bed, mushroom, bicycle, wolf, road, mouse, leopard, lion, shark, cattle, table, maple_tree, bowl, raccoon, oak_tree, otter, plate, trout, lobster, skyscraper, dolphin, crocodile, couch, shrew, crab, fox, pickup_truck, girl, tiger, caterpillar, beaver, house, sweet_pepper
Base model
facebook/dino-vitb16