Model-J: SupViT Model (model_idx_0488)
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 | SupViT |
| Split | train |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0005 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 488 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9232 |
| Test Accuracy | 0.9204 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orchid, bicycle, squirrel, cloud, chair, lobster, leopard, fox, pickup_truck, wardrobe, motorcycle, baby, apple, flatfish, elephant, bottle, caterpillar, telephone, couch, man, butterfly, willow_tree, wolf, bear, bowl, turtle, plain, shrew, orange, hamster, tank, lion, keyboard, crocodile, sweet_pepper, oak_tree, pear, tractor, palm_tree, mountain, house, sea, rabbit, train, porcupine, bus, tulip, pine_tree, skyscraper, beetle
