Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0940)
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 | val |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 940 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9472 |
| Test Accuracy | 0.9440 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bridge, lawn_mower, cloud, wardrobe, girl, pear, caterpillar, castle, streetcar, bed, shrew, television, man, bear, snail, crocodile, couch, flatfish, orange, telephone, sea, pine_tree, plate, lion, tiger, rocket, cockroach, willow_tree, fox, snake, turtle, road, shark, plain, possum, chair, can, motorcycle, crab, bowl, poppy, bottle, camel, train, beaver, oak_tree, orchid, aquarium_fish, lamp, mouse
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google/vit-base-patch16-224