Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0718)
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 | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 718 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9824 |
| Val Accuracy | 0.9312 |
| Test Accuracy | 0.9266 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
clock, table, bus, chimpanzee, plain, pine_tree, oak_tree, bee, dolphin, telephone, whale, raccoon, rocket, tulip, couch, television, sea, beaver, porcupine, lawn_mower, tank, apple, bed, palm_tree, fox, plate, bottle, woman, mountain, girl, mouse, tiger, turtle, rose, caterpillar, orchid, motorcycle, willow_tree, shrew, pickup_truck, cattle, beetle, keyboard, snake, bowl, lizard, tractor, worm, poppy, elephant
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google/vit-base-patch16-224