Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0587)
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 | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 587 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9503 |
| Val Accuracy | 0.8731 |
| Test Accuracy | 0.8728 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
castle, pickup_truck, hamster, turtle, squirrel, rocket, crocodile, rose, elephant, boy, house, man, seal, skunk, crab, snail, tiger, bee, leopard, bed, bottle, caterpillar, train, dinosaur, rabbit, poppy, tractor, orchid, wolf, dolphin, plain, orange, snake, sea, possum, fox, plate, pear, lizard, cattle, lobster, pine_tree, bridge, beaver, kangaroo, chimpanzee, skyscraper, lawn_mower, tank, tulip
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google/vit-base-patch16-224