Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0665)
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 | constant |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 665 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9922 |
| Val Accuracy | 0.9269 |
| Test Accuracy | 0.9200 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
plain, plate, baby, lamp, snail, dinosaur, fox, trout, beaver, camel, rocket, man, tank, possum, elephant, skyscraper, bicycle, apple, bowl, lizard, can, pear, hamster, shark, cattle, forest, motorcycle, porcupine, seal, sweet_pepper, chair, cockroach, cup, lawn_mower, ray, willow_tree, rabbit, palm_tree, bed, oak_tree, caterpillar, cloud, pickup_truck, dolphin, streetcar, sea, woman, bridge, otter, house
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google/vit-base-patch16-224