Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0206)
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 | 0.007 |
| Seed | 206 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9959 |
| Val Accuracy | 0.9496 |
| Test Accuracy | 0.9386 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
possum, aquarium_fish, camel, porcupine, keyboard, turtle, spider, tank, beaver, bee, fox, lawn_mower, sweet_pepper, chair, maple_tree, lobster, orange, pear, otter, bicycle, cloud, road, mouse, elephant, beetle, man, clock, hamster, wolf, sunflower, streetcar, woman, bed, apple, cockroach, seal, couch, baby, rabbit, tractor, whale, raccoon, house, cup, wardrobe, orchid, motorcycle, tiger, palm_tree, tulip
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Base model
google/vit-base-patch16-224