Model-J: DINO Model (model_idx_0059)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 59 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9845 |
| Val Accuracy | 0.9117 |
| Test Accuracy | 0.9098 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orchid, lobster, mouse, bus, can, road, sea, pear, otter, crocodile, rabbit, plate, ray, aquarium_fish, mushroom, possum, snail, seal, bee, cloud, shark, willow_tree, elephant, poppy, raccoon, tractor, dolphin, cup, castle, woman, beetle, bowl, lamp, skyscraper, man, train, pickup_truck, bottle, mountain, maple_tree, television, baby, motorcycle, bicycle, spider, streetcar, crab, house, worm, porcupine
