Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0736)
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 | 0.0003 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 736 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9991 |
| Val Accuracy | 0.9123 |
| Test Accuracy | 0.9290 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
girl, rabbit, ray, pickup_truck, palm_tree, porcupine, road, tractor, mountain, raccoon, caterpillar, bicycle, bottle, trout, wolf, mouse, tulip, beaver, cloud, baby, rose, butterfly, lamp, kangaroo, orange, skunk, seal, bee, clock, hamster, orchid, turtle, plain, bus, keyboard, shark, lawn_mower, rocket, pine_tree, willow_tree, boy, beetle, cockroach, sea, apple, camel, forest, maple_tree, tank, bridge
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Base model
google/vit-base-patch16-224