Model-J: DINO Model (model_idx_0530)
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 | 0.0005 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 530 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.4038 |
| Val Accuracy | 0.3395 |
| Test Accuracy | 0.3552 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lamp, flatfish, cup, bee, television, girl, squirrel, bus, hamster, man, mouse, lawn_mower, poppy, cockroach, snake, tiger, porcupine, fox, cattle, ray, bridge, dolphin, chair, bed, wolf, lobster, bear, tractor, crocodile, castle, house, couch, dinosaur, mountain, forest, raccoon, oak_tree, woman, possum, lion, shrew, plain, bowl, motorcycle, aquarium_fish, rose, chimpanzee, apple, bottle, skunk
