Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0416)
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 | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 416 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9445 |
| Test Accuracy | 0.9454 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chimpanzee, possum, whale, bottle, tank, girl, turtle, hamster, tiger, fox, caterpillar, keyboard, telephone, lion, cockroach, plain, trout, tulip, train, worm, house, baby, table, rose, motorcycle, wolf, porcupine, dolphin, oak_tree, otter, bowl, pickup_truck, seal, pine_tree, skyscraper, sweet_pepper, spider, orange, woman, mushroom, bed, maple_tree, sea, boy, lawn_mower, dinosaur, bee, mountain, raccoon, cattle
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google/vit-base-patch16-224