Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0091)
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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 91 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9852 |
| Val Accuracy | 0.9483 |
| Test Accuracy | 0.9452 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
can, kangaroo, lamp, tulip, oak_tree, worm, sunflower, woman, chair, clock, bridge, cockroach, tractor, rose, snake, lawn_mower, whale, trout, bottle, table, skyscraper, motorcycle, sweet_pepper, tank, girl, dolphin, dinosaur, streetcar, pickup_truck, bowl, castle, fox, road, crab, beetle, rocket, aquarium_fish, lobster, pear, snail, hamster, bee, chimpanzee, mountain, couch, skunk, otter, turtle, shark, cup
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google/vit-base-patch16-224