Model-J SupViT
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Model-J: SupViT Model (model_idx_0842)
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 | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 842 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9995 |
| Val Accuracy | 0.9357 |
| Test Accuracy | 0.9382 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
streetcar, cockroach, bridge, whale, beaver, plate, pickup_truck, chair, kangaroo, boy, forest, lamp, flatfish, orange, plain, otter, sweet_pepper, tulip, orchid, chimpanzee, house, bottle, camel, lizard, can, pine_tree, mountain, fox, willow_tree, bee, beetle, snail, bear, caterpillar, girl, wardrobe, road, skyscraper, maple_tree, turtle, seal, sea, couch, possum, trout, mouse, apple, palm_tree, lawn_mower, bowl
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Base model
google/vit-base-patch16-224