Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0567)
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 | val |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 567 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9461 |
| Test Accuracy | 0.9482 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
shrew, plain, table, streetcar, bridge, crab, boy, seal, apple, lobster, road, cockroach, plate, lamp, orange, beaver, bear, wardrobe, tiger, sunflower, woman, mushroom, leopard, skunk, cloud, pickup_truck, dolphin, television, shark, chimpanzee, spider, flatfish, poppy, possum, rocket, worm, tractor, castle, couch, house, palm_tree, willow_tree, raccoon, wolf, chair, bicycle, oak_tree, porcupine, bus, man
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Base model
google/vit-base-patch16-224