Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0524)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | SupViT |
| Split | train |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 524 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9996 |
| Val Accuracy | 0.9403 |
| Test Accuracy | 0.9454 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mountain, house, shark, tank, tiger, snail, woman, lobster, pine_tree, mouse, sweet_pepper, lion, clock, poppy, snake, pickup_truck, cloud, bear, tractor, ray, boy, rose, crab, worm, telephone, television, bee, apple, camel, motorcycle, cattle, lamp, couch, crocodile, keyboard, porcupine, raccoon, squirrel, lawn_mower, dinosaur, forest, willow_tree, mushroom, train, man, maple_tree, hamster, flatfish, cockroach, lizard
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Base model
google/vit-base-patch16-224