Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0983)
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 | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 983 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9957 |
| Val Accuracy | 0.9344 |
| Test Accuracy | 0.9430 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orchid, bicycle, tractor, elephant, turtle, caterpillar, plate, mouse, lobster, trout, boy, skunk, motorcycle, lamp, cockroach, man, beetle, ray, clock, wolf, tulip, oak_tree, shrew, butterfly, porcupine, flatfish, snail, pine_tree, bee, streetcar, cloud, whale, rabbit, crocodile, chimpanzee, worm, otter, keyboard, pickup_truck, camel, table, skyscraper, bowl, bus, fox, sweet_pepper, apple, rocket, couch, woman
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google/vit-base-patch16-224