Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0334)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 334 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9975 |
| Val Accuracy | 0.9339 |
| Test Accuracy | 0.9346 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
boy, bowl, streetcar, castle, beaver, cockroach, girl, pickup_truck, shrew, lamp, flatfish, sea, spider, tiger, pine_tree, kangaroo, camel, orchid, cattle, poppy, butterfly, squirrel, chair, oak_tree, bed, lizard, caterpillar, bear, tulip, whale, television, worm, rabbit, clock, seal, telephone, cloud, skunk, turtle, wolf, dolphin, man, lawn_mower, dinosaur, rose, bottle, house, motorcycle, otter, crocodile
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Base model
google/vit-base-patch16-224