Model-J: DINO Model (model_idx_0233)
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 | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 233 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9804 |
| Val Accuracy | 0.8773 |
| Test Accuracy | 0.8750 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
maple_tree, chimpanzee, bed, bear, elephant, cloud, lizard, bridge, sweet_pepper, chair, cockroach, fox, otter, keyboard, sunflower, rabbit, mouse, pickup_truck, wolf, hamster, tulip, bowl, butterfly, lion, plate, wardrobe, camel, tank, ray, turtle, television, bee, mountain, cup, lamp, beaver, crocodile, road, aquarium_fish, mushroom, woman, squirrel, baby, tiger, snake, possum, raccoon, poppy, caterpillar, pine_tree
