Model-J: DINO Model (model_idx_0491)
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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 491 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9986 |
| Val Accuracy | 0.9091 |
| Test Accuracy | 0.9122 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bus, rocket, keyboard, plate, maple_tree, flatfish, can, bottle, cup, baby, lamp, bee, pear, sunflower, leopard, crocodile, apple, orange, plain, bridge, pine_tree, porcupine, butterfly, lizard, snail, shark, lobster, lion, train, oak_tree, caterpillar, orchid, snake, skyscraper, streetcar, boy, dinosaur, beaver, tiger, ray, bear, couch, beetle, hamster, cattle, wolf, squirrel, tractor, man, trout
