Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0723)
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 | 0.0003 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 723 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9979 |
| Val Accuracy | 0.9403 |
| Test Accuracy | 0.9420 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
flatfish, girl, orange, train, dolphin, shark, chimpanzee, snake, pickup_truck, poppy, rabbit, clock, camel, lion, baby, lamp, telephone, cockroach, snail, tiger, skyscraper, dinosaur, bear, mouse, raccoon, pine_tree, mountain, lawn_mower, forest, possum, beaver, maple_tree, chair, crocodile, plain, motorcycle, shrew, bee, apple, skunk, fox, leopard, worm, spider, tractor, porcupine, bus, squirrel, elephant, bottle
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Base model
google/vit-base-patch16-224