Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0876)
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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 876 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9814 |
| Val Accuracy | 0.9235 |
| Test Accuracy | 0.9230 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
willow_tree, seal, beetle, man, spider, bicycle, mouse, bottle, pine_tree, pickup_truck, crab, snake, apple, wardrobe, squirrel, rabbit, fox, ray, television, baby, tractor, plate, bus, butterfly, shrew, flatfish, tulip, skunk, motorcycle, bowl, elephant, sweet_pepper, shark, rose, mushroom, rocket, plain, oak_tree, keyboard, boy, sunflower, tank, aquarium_fish, pear, bridge, castle, kangaroo, can, table, house
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google/vit-base-patch16-224