Model-J: DINO Model (model_idx_0291)
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 | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 291 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9048 |
| Test Accuracy | 0.9028 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chair, spider, road, porcupine, bicycle, ray, tiger, otter, lawn_mower, leopard, clock, oak_tree, cup, raccoon, palm_tree, skunk, woman, beetle, caterpillar, dinosaur, dolphin, bowl, maple_tree, shark, aquarium_fish, possum, cattle, elephant, pear, streetcar, television, crab, pine_tree, rocket, sweet_pepper, mountain, whale, worm, plate, sea, boy, mushroom, butterfly, baby, pickup_truck, motorcycle, telephone, snake, lobster, crocodile
