Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0516)
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 | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 516 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9996 |
| Val Accuracy | 0.9525 |
| Test Accuracy | 0.9484 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chimpanzee, rose, pickup_truck, table, girl, oak_tree, leopard, plate, hamster, dinosaur, bridge, pear, turtle, lawn_mower, apple, sweet_pepper, baby, clock, house, ray, chair, orange, rabbit, can, man, lizard, sunflower, orchid, lion, whale, bear, spider, shrew, caterpillar, squirrel, butterfly, willow_tree, streetcar, palm_tree, wolf, shark, cup, maple_tree, lamp, snake, tractor, aquarium_fish, trout, rocket, raccoon
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Base model
google/vit-base-patch16-224