Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0200)
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 | 0.0005 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 200 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9976 |
| Val Accuracy | 0.9083 |
| Test Accuracy | 0.9152 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, fox, snail, crocodile, television, bowl, trout, pickup_truck, table, lawn_mower, bed, chair, shark, train, ray, wolf, shrew, castle, apple, skunk, butterfly, otter, seal, rabbit, boy, bicycle, whale, forest, camel, caterpillar, elephant, orchid, worm, bee, hamster, couch, oak_tree, bear, rocket, sunflower, road, wardrobe, lizard, tulip, turtle, spider, man, baby, crab, girl
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Base model
google/vit-base-patch16-224