Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0834)
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 | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 834 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9995 |
| Val Accuracy | 0.9485 |
| Test Accuracy | 0.9440 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
television, train, turtle, orchid, lion, leopard, plate, whale, dolphin, sunflower, oak_tree, bowl, bee, fox, road, man, wardrobe, can, girl, maple_tree, skyscraper, pickup_truck, shark, rose, rocket, crocodile, streetcar, snake, worm, raccoon, cockroach, bicycle, lamp, orange, aquarium_fish, woman, cloud, motorcycle, poppy, trout, bottle, mouse, clock, beaver, forest, chair, keyboard, bed, mountain, possum
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Base model
google/vit-base-patch16-224