Model-J: DINO Model (model_idx_0170)
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
ProbeXModel Details
| Attribute | Value |
|---|
| Subset | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 170 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9686 |
| Val Accuracy | 0.8851 |
| Test Accuracy | 0.8770 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, bear, streetcar, turtle, lawn_mower, hamster, flatfish, man, woman, aquarium_fish, motorcycle, keyboard, lizard, beaver, castle, wardrobe, telephone, bee, pear, couch, chimpanzee, lion, orchid, caterpillar, squirrel, mountain, palm_tree, sweet_pepper, can, skyscraper, lobster, tiger, mouse, forest, bed, house, cup, tractor, pine_tree, fox, crocodile, poppy, spider, sea, bottle, orange, oak_tree, cockroach, snail, camel
