Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0391)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 391 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9579 |
| Test Accuracy | 0.9526 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chair, skunk, girl, chimpanzee, fox, worm, trout, cattle, possum, maple_tree, porcupine, beaver, crab, sweet_pepper, orchid, forest, shark, pear, whale, rose, castle, bowl, otter, kangaroo, man, snail, bus, hamster, palm_tree, bed, plain, baby, crocodile, wardrobe, mouse, tank, bottle, keyboard, butterfly, camel, aquarium_fish, poppy, sunflower, skyscraper, can, bee, lawn_mower, woman, leopard, ray
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google/vit-base-patch16-224