Model-J: DINO Model (model_idx_0181)
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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 181 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9936 |
| Val Accuracy | 0.9040 |
| Test Accuracy | 0.8928 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
whale, palm_tree, plain, boy, leopard, camel, bicycle, possum, shrew, chimpanzee, castle, television, house, sweet_pepper, mountain, ray, lion, bear, sea, rabbit, sunflower, crab, bus, motorcycle, rocket, butterfly, bowl, poppy, clock, turtle, orange, bed, bee, forest, aquarium_fish, bottle, lobster, train, seal, beetle, maple_tree, couch, raccoon, caterpillar, dolphin, oak_tree, elephant, otter, mouse, keyboard
