Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0588)
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 | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 588 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9941 |
| Val Accuracy | 0.9400 |
| Test Accuracy | 0.9412 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
man, girl, raccoon, apple, house, cattle, bottle, rocket, bed, skyscraper, mountain, bee, elephant, shark, sweet_pepper, flatfish, tank, skunk, mouse, clock, beaver, lamp, palm_tree, poppy, tiger, seal, castle, keyboard, chimpanzee, lobster, streetcar, orange, possum, motorcycle, turtle, tractor, cup, trout, rose, sea, train, willow_tree, oak_tree, maple_tree, bear, can, crab, mushroom, lawn_mower, tulip
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google/vit-base-patch16-224