Model-J: DINO Model (model_idx_0930)
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
Model Details
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 930 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9968 |
| Val Accuracy | 0.9355 |
| Test Accuracy | 0.9418 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
trout, bear, castle, road, lobster, chimpanzee, fox, ray, whale, squirrel, crocodile, bus, sea, bridge, streetcar, dinosaur, turtle, lawn_mower, orange, pickup_truck, mouse, pine_tree, butterfly, rabbit, motorcycle, sweet_pepper, aquarium_fish, worm, beaver, spider, telephone, palm_tree, porcupine, pear, caterpillar, sunflower, leopard, oak_tree, raccoon, skyscraper, television, crab, keyboard, baby, dolphin, tractor, skunk, wardrobe, cup, clock
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facebook/dino-vitb16