Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0639)
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 | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 639 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9925 |
| Val Accuracy | 0.9253 |
| Test Accuracy | 0.9276 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
crocodile, road, bridge, motorcycle, bus, plate, shark, snake, hamster, skyscraper, seal, tank, flatfish, tiger, butterfly, sunflower, poppy, forest, aquarium_fish, girl, castle, possum, leopard, tractor, apple, rose, bottle, plain, woman, lamp, lobster, raccoon, oak_tree, baby, pine_tree, cockroach, willow_tree, lion, otter, worm, palm_tree, can, orchid, maple_tree, beetle, pickup_truck, wardrobe, pear, dinosaur, rocket
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google/vit-base-patch16-224