Model-J: DINO Model (model_idx_0424)
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 | 3e-05 |
| LR Scheduler | constant |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 424 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9673 |
| Val Accuracy | 0.8883 |
| Test Accuracy | 0.8832 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
crab, can, cockroach, camel, trout, mouse, tiger, tractor, lizard, bottle, rocket, orange, porcupine, bicycle, house, telephone, otter, elephant, shark, snail, leopard, man, seal, worm, raccoon, sweet_pepper, lawn_mower, forest, rabbit, shrew, snake, spider, butterfly, pine_tree, bowl, possum, bear, caterpillar, hamster, cloud, orchid, bus, bridge, bee, plate, dinosaur, sea, train, turtle, squirrel
