Model-J SupViT
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Model-J: SupViT Model (model_idx_0543)
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 | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 543 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9927 |
| Val Accuracy | 0.9515 |
| Test Accuracy | 0.9508 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
plate, mouse, dinosaur, streetcar, can, cockroach, leopard, cup, tank, wardrobe, shrew, tractor, hamster, shark, poppy, tulip, clock, sweet_pepper, cloud, ray, rose, orange, butterfly, snake, mushroom, orchid, tiger, table, cattle, bear, television, possum, spider, turtle, sea, man, bee, castle, crab, bed, chimpanzee, worm, woman, motorcycle, plain, snail, raccoon, elephant, lion, flatfish
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Base model
google/vit-base-patch16-224