Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0331)
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 | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 331 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9796 |
| Val Accuracy | 0.9384 |
| Test Accuracy | 0.9418 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, orange, cloud, butterfly, sunflower, snake, table, mushroom, chimpanzee, television, ray, poppy, keyboard, clock, shrew, crocodile, lamp, sweet_pepper, man, caterpillar, pine_tree, fox, tractor, willow_tree, palm_tree, wolf, raccoon, crab, cattle, lawn_mower, mountain, rose, otter, bee, train, trout, squirrel, castle, oak_tree, bed, worm, woman, pickup_truck, bottle, seal, couch, kangaroo, girl, bicycle, motorcycle
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google/vit-base-patch16-224