Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0590)
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 | 3e-05 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 590 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9977 |
| Val Accuracy | 0.9581 |
| Test Accuracy | 0.9480 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cloud, snail, bee, turtle, willow_tree, crocodile, oak_tree, porcupine, wolf, road, train, lizard, poppy, shrew, palm_tree, raccoon, tank, worm, lion, caterpillar, wardrobe, whale, rocket, otter, bowl, motorcycle, orange, cup, mushroom, trout, beaver, ray, baby, chimpanzee, tulip, maple_tree, couch, kangaroo, cockroach, tiger, cattle, streetcar, squirrel, keyboard, bottle, skunk, bridge, sunflower, apple, orchid
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google/vit-base-patch16-224