Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0921)
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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 921 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9775 |
| Val Accuracy | 0.9451 |
| Test Accuracy | 0.9398 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, poppy, elephant, snail, house, chimpanzee, flatfish, raccoon, hamster, chair, plate, camel, ray, pickup_truck, couch, mouse, oak_tree, skyscraper, bear, seal, sweet_pepper, lobster, table, television, pine_tree, bicycle, trout, tiger, beaver, plain, apple, snake, tank, leopard, streetcar, kangaroo, orchid, lion, road, lizard, aquarium_fish, cloud, cockroach, dolphin, porcupine, can, bottle, bed, skunk, keyboard
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google/vit-base-patch16-224