Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0290)
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 | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 290 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9863 |
| Val Accuracy | 0.9456 |
| Test Accuracy | 0.9428 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cattle, wardrobe, baby, turtle, lion, orange, house, plain, fox, bowl, pine_tree, elephant, orchid, butterfly, camel, rabbit, lobster, oak_tree, girl, boy, couch, castle, shark, hamster, cloud, kangaroo, snail, table, can, shrew, bridge, chimpanzee, palm_tree, rocket, squirrel, beetle, ray, bed, skyscraper, tank, lizard, lawn_mower, leopard, dolphin, maple_tree, seal, sea, skunk, crab, tiger
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google/vit-base-patch16-224