Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0319)
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 | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 319 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9477 |
| Test Accuracy | 0.9456 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bear, skyscraper, elephant, lizard, ray, pear, whale, aquarium_fish, tiger, turtle, bridge, caterpillar, man, tractor, woman, cup, keyboard, mushroom, tulip, pine_tree, orange, bee, cattle, sea, streetcar, lawn_mower, television, bus, otter, plain, squirrel, seal, kangaroo, sweet_pepper, rocket, dolphin, wardrobe, butterfly, can, sunflower, motorcycle, cloud, willow_tree, plate, mountain, lamp, crab, oak_tree, girl, snake
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google/vit-base-patch16-224