Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0267)
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 | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 267 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9605 |
| Val Accuracy | 0.8147 |
| Test Accuracy | 0.8134 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, man, boy, road, caterpillar, cloud, wolf, shark, sweet_pepper, snail, possum, palm_tree, wardrobe, couch, turtle, mouse, porcupine, rabbit, orchid, beetle, tank, rose, plain, butterfly, dolphin, cup, willow_tree, chair, oak_tree, crocodile, maple_tree, otter, kangaroo, skyscraper, pickup_truck, trout, tractor, poppy, train, dinosaur, lion, aquarium_fish, girl, cockroach, bowl, bottle, lamp, lobster, lizard, whale
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google/vit-base-patch16-224