Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0384)
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_with_restarts |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 384 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9983 |
| Val Accuracy | 0.9501 |
| Test Accuracy | 0.9464 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
snail, tractor, dolphin, crab, bee, raccoon, hamster, willow_tree, plate, skunk, can, butterfly, whale, lobster, chair, shark, skyscraper, rabbit, camel, seal, beaver, rose, dinosaur, sweet_pepper, pear, trout, cup, bear, bicycle, man, wolf, orange, television, ray, chimpanzee, forest, otter, bus, pine_tree, leopard, couch, orchid, porcupine, tiger, turtle, sunflower, cockroach, motorcycle, apple, keyboard
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google/vit-base-patch16-224