Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0053)
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 | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 53 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9467 |
| Test Accuracy | 0.9446 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, worm, trout, whale, lion, leopard, cockroach, dolphin, palm_tree, television, butterfly, lamp, apple, lawn_mower, girl, chair, shark, crocodile, plain, bed, train, sea, dinosaur, tiger, mushroom, cattle, skunk, shrew, sunflower, spider, cloud, lobster, orchid, otter, poppy, chimpanzee, man, possum, orange, pear, sweet_pepper, oak_tree, pine_tree, elephant, beetle, porcupine, boy, tulip, road, couch
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google/vit-base-patch16-224