Model-J: SupViT Model (model_idx_0129)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 129 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9986 |
| Val Accuracy | 0.9611 |
| Test Accuracy | 0.9620 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
baby, bear, tank, bridge, castle, chair, hamster, pine_tree, spider, telephone, palm_tree, plate, snake, keyboard, bed, mountain, apple, streetcar, rose, caterpillar, girl, mouse, porcupine, bee, rocket, leopard, sea, lizard, man, raccoon, train, elephant, turtle, cloud, cockroach, lamp, worm, skyscraper, tiger, aquarium_fish, television, can, flatfish, maple_tree, poppy, cattle, butterfly, crocodile, whale, crab
