Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0507)
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 | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 507 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9464 |
| Test Accuracy | 0.9514 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
fox, bicycle, tank, sea, boy, bottle, mountain, bus, lizard, skunk, cockroach, lobster, woman, caterpillar, snake, television, couch, bridge, bed, spider, worm, elephant, mouse, crocodile, aquarium_fish, butterfly, dolphin, raccoon, tractor, motorcycle, palm_tree, flatfish, sunflower, otter, willow_tree, rocket, seal, pear, oak_tree, orchid, snail, telephone, lamp, bee, chair, train, squirrel, hamster, girl, orange
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Base model
google/vit-base-patch16-224