Model-J: SupViT Model (model_idx_0350)
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 | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 350 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9493 |
| Test Accuracy | 0.9406 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mountain, raccoon, clock, chimpanzee, girl, chair, otter, plate, couch, tank, baby, shark, oak_tree, orchid, television, aquarium_fish, man, lion, woman, pine_tree, lobster, worm, motorcycle, lawn_mower, bear, hamster, camel, telephone, boy, sunflower, bus, cattle, bridge, apple, wardrobe, cockroach, possum, flatfish, rose, ray, caterpillar, snail, forest, kangaroo, beaver, dolphin, mushroom, train, fox, palm_tree
