Model-J SupViT
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Model-J: SupViT Model (model_idx_0893)
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 | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 893 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9406 |
| Val Accuracy | 0.8712 |
| Test Accuracy | 0.8748 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bee, bear, baby, kangaroo, spider, caterpillar, seal, snail, can, girl, camel, crab, rocket, plate, boy, lion, poppy, shark, tank, man, bicycle, cattle, tractor, beetle, tiger, turtle, mouse, lobster, mountain, oak_tree, trout, whale, rabbit, wolf, lawn_mower, motorcycle, castle, raccoon, bridge, orange, keyboard, worm, hamster, sunflower, couch, lamp, aquarium_fish, skunk, mushroom, woman
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Base model
google/vit-base-patch16-224