Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0078)
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 | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 78 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9871 |
| Val Accuracy | 0.9331 |
| Test Accuracy | 0.9264 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
girl, house, bowl, spider, bear, caterpillar, tiger, fox, television, camel, squirrel, plate, bed, beaver, mouse, chimpanzee, bridge, trout, kangaroo, dolphin, woman, ray, dinosaur, butterfly, telephone, orchid, cattle, maple_tree, orange, otter, sweet_pepper, oak_tree, lobster, baby, sea, bottle, flatfish, crocodile, leopard, whale, cockroach, lamp, clock, mountain, cloud, cup, bee, rabbit, seal, raccoon
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google/vit-base-patch16-224