Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0309)
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 | 0.0001 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 309 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9913 |
| Val Accuracy | 0.9232 |
| Test Accuracy | 0.9298 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orange, tulip, aquarium_fish, wolf, willow_tree, tractor, rocket, crocodile, pear, castle, cloud, lawn_mower, train, butterfly, bridge, spider, rabbit, worm, poppy, bottle, flatfish, cockroach, sunflower, baby, elephant, oak_tree, snail, raccoon, squirrel, pine_tree, turtle, otter, mountain, chair, bowl, boy, caterpillar, girl, forest, keyboard, road, mouse, beaver, plate, cattle, couch, skunk, trout, lion, lamp
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Base model
google/vit-base-patch16-224