Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0656)
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 | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 656 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9836 |
| Val Accuracy | 0.9416 |
| Test Accuracy | 0.9542 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
wolf, castle, orchid, woman, camel, turtle, pear, sea, aquarium_fish, sunflower, fox, mouse, chimpanzee, motorcycle, mushroom, ray, flatfish, beetle, tank, girl, plate, wardrobe, forest, hamster, rocket, road, willow_tree, otter, whale, train, plain, bear, dinosaur, sweet_pepper, lizard, spider, table, television, skyscraper, apple, skunk, chair, squirrel, beaver, trout, bed, bottle, caterpillar, crab, tractor
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Base model
google/vit-base-patch16-224