Model-J: DINO Model (model_idx_0115)
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 | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 115 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.5448 |
| Val Accuracy | 0.4261 |
| Test Accuracy | 0.4302 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
plain, baby, cloud, bed, lizard, bear, sea, ray, aquarium_fish, wardrobe, otter, rabbit, squirrel, bottle, plate, tiger, castle, porcupine, dolphin, tank, turtle, skyscraper, chair, orange, kangaroo, snake, camel, tractor, wolf, mouse, pickup_truck, bridge, man, can, boy, caterpillar, table, keyboard, motorcycle, worm, road, elephant, streetcar, maple_tree, television, seal, shrew, girl, sunflower, lawn_mower
