Model-J: DINO Model (model_idx_0688)
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 | constant_with_warmup |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 688 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9697 |
| Val Accuracy | 0.8339 |
| Test Accuracy | 0.8422 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bottle, rose, table, clock, boy, house, maple_tree, leopard, wolf, motorcycle, mouse, bridge, palm_tree, bicycle, baby, seal, lobster, sea, forest, willow_tree, woman, tiger, fox, chimpanzee, elephant, trout, kangaroo, caterpillar, aquarium_fish, lion, beetle, can, chair, otter, skyscraper, cattle, camel, wardrobe, pear, hamster, shark, apple, porcupine, girl, road, spider, rocket, tulip, butterfly, telephone
