Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0144)
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 | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 144 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9509 |
| Test Accuracy | 0.9530 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
caterpillar, sunflower, raccoon, motorcycle, forest, road, flatfish, cockroach, otter, dolphin, streetcar, chimpanzee, lizard, cup, leopard, maple_tree, can, seal, clock, bottle, couch, cattle, mushroom, rabbit, dinosaur, orange, tiger, mouse, man, skunk, rose, chair, shark, keyboard, girl, bee, lawn_mower, spider, woman, shrew, fox, hamster, telephone, porcupine, tank, wardrobe, pear, cloud, house, poppy
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Base model
google/vit-base-patch16-224