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 | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 777 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.4107 |
| Val Accuracy | 0.3565 |
| Test Accuracy | 0.3662 |
The model was fine-tuned on the following 50 CIFAR100 classes:
oak_tree, cloud, skyscraper, keyboard, turtle, bed, crab, orange, telephone, rose, tank, shark, tiger, whale, bottle, fox, otter, wolf, lizard, road, mushroom, bus, cattle, pine_tree, sea, baby, seal, sweet_pepper, can, rocket, man, boy, lobster, kangaroo, raccoon, caterpillar, aquarium_fish, lamp, mountain, table, possum, beetle, forest, clock, worm, flatfish, dinosaur, crocodile, bee, motorcycle
Base model
facebook/dino-vitb16