Model-J: SupViT Model (model_idx_0577)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 577 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9373 |
| Test Accuracy | 0.9400 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pear, bowl, boy, sunflower, skyscraper, otter, dinosaur, crab, lamp, wardrobe, whale, willow_tree, butterfly, lizard, clock, tank, bee, mouse, caterpillar, motorcycle, worm, hamster, snail, maple_tree, raccoon, apple, wolf, tulip, oak_tree, streetcar, man, ray, leopard, fox, sea, rocket, pine_tree, house, tractor, squirrel, couch, spider, plain, bottle, chair, rose, girl, camel, plate, forest
