Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0815)
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 | 3e-05 |
| LR Scheduler | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 815 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9885 |
| Val Accuracy | 0.9451 |
| Test Accuracy | 0.9412 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
crab, snail, skyscraper, palm_tree, apple, streetcar, woman, rose, hamster, lion, beetle, dolphin, dinosaur, bicycle, seal, beaver, maple_tree, shrew, lamp, kangaroo, willow_tree, plain, cattle, cloud, can, bottle, bear, rabbit, cockroach, plate, clock, bridge, porcupine, lobster, squirrel, poppy, orange, shark, cup, pear, crocodile, motorcycle, table, sweet_pepper, mouse, pickup_truck, house, wardrobe, skunk, caterpillar
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Base model
google/vit-base-patch16-224