Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0878)
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 | 7e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 878 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9989 |
| Val Accuracy | 0.9552 |
| Test Accuracy | 0.9526 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
girl, train, worm, rabbit, crocodile, turtle, mouse, tractor, pear, television, porcupine, forest, lawn_mower, leopard, raccoon, trout, dolphin, road, cloud, house, seal, sweet_pepper, table, woman, caterpillar, man, tiger, rocket, chair, orchid, whale, bus, beetle, cockroach, couch, mountain, bowl, bear, skunk, chimpanzee, keyboard, possum, skyscraper, aquarium_fish, bottle, clock, pickup_truck, lamp, spider, snail
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google/vit-base-patch16-224