Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0798)
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 | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 798 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9397 |
| Test Accuracy | 0.9330 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
porcupine, bowl, rabbit, man, willow_tree, oak_tree, mouse, telephone, shark, wardrobe, cloud, dinosaur, lizard, turtle, trout, streetcar, bridge, orchid, kangaroo, fox, chair, maple_tree, snail, cattle, television, woman, baby, possum, beetle, bee, palm_tree, cockroach, mountain, shrew, squirrel, bottle, train, leopard, plain, girl, couch, hamster, motorcycle, caterpillar, bed, ray, pear, worm, crab, can
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Base model
google/vit-base-patch16-224