Model-J SupViT
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Model-J: SupViT Model (model_idx_0264)
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 | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 264 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9918 |
| Val Accuracy | 0.9560 |
| Test Accuracy | 0.9556 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
oak_tree, bicycle, bed, trout, snail, tank, bottle, keyboard, forest, cloud, sunflower, kangaroo, lawn_mower, dinosaur, rabbit, bridge, bowl, pickup_truck, skunk, aquarium_fish, couch, shrew, tulip, rose, bus, train, clock, motorcycle, wardrobe, wolf, orchid, butterfly, cockroach, sweet_pepper, leopard, chimpanzee, tiger, whale, fox, plain, mouse, skyscraper, mountain, bee, willow_tree, lion, cup, mushroom, lobster, spider
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google/vit-base-patch16-224