Model-J: DINO Model (model_idx_0720)
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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 3e-05 |
| LR Scheduler | constant |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 720 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9928 |
| Val Accuracy | 0.9131 |
| Test Accuracy | 0.9084 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cattle, television, fox, bowl, tank, train, house, wolf, plain, snail, kangaroo, pickup_truck, elephant, bridge, lamp, aquarium_fish, keyboard, cloud, shrew, bottle, spider, shark, raccoon, apple, ray, boy, couch, tiger, tractor, plate, trout, camel, dinosaur, flatfish, worm, sea, cockroach, beaver, forest, seal, streetcar, lawn_mower, butterfly, castle, squirrel, table, beetle, bed, mountain, bear
