Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0131)
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 | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 131 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9528 |
| Val Accuracy | 0.8893 |
| Test Accuracy | 0.8720 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
baby, beaver, rocket, couch, cattle, keyboard, camel, dolphin, skunk, cup, bridge, fox, tulip, rabbit, crab, elephant, porcupine, spider, bear, bicycle, telephone, chimpanzee, ray, dinosaur, forest, tank, aquarium_fish, crocodile, hamster, apple, woman, can, shark, tiger, beetle, lamp, possum, bed, butterfly, skyscraper, bottle, bee, lobster, chair, seal, raccoon, table, wolf, whale, castle
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Base model
google/vit-base-patch16-224