Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0165)
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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 165 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9994 |
| Val Accuracy | 0.9496 |
| Test Accuracy | 0.9474 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bear, sunflower, cockroach, rose, bottle, cattle, snake, lizard, bicycle, bus, chimpanzee, mushroom, flatfish, road, bed, telephone, dinosaur, orange, turtle, clock, bridge, pine_tree, tulip, camel, mountain, squirrel, oak_tree, plate, porcupine, butterfly, otter, table, elephant, forest, sea, apple, hamster, maple_tree, baby, lawn_mower, kangaroo, boy, caterpillar, trout, shrew, raccoon, pear, leopard, streetcar, castle
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google/vit-base-patch16-224