Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0936)
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 | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 936 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9916 |
| Val Accuracy | 0.9461 |
| Test Accuracy | 0.9490 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lobster, rocket, trout, flatfish, raccoon, crocodile, beetle, keyboard, bowl, mushroom, ray, snake, elephant, tractor, dinosaur, mouse, whale, spider, woman, apple, plain, pine_tree, squirrel, fox, skunk, cockroach, mountain, turtle, man, lion, forest, pickup_truck, chair, snail, hamster, orchid, lamp, shark, bicycle, bee, seal, crab, leopard, maple_tree, castle, chimpanzee, bridge, streetcar, plate, bed
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google/vit-base-patch16-224