Model-J SupViT
Collection
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Model-J: SupViT Model (model_idx_0341)
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 | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 341 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9958 |
| Val Accuracy | 0.9336 |
| Test Accuracy | 0.9336 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
trout, tulip, forest, mouse, apple, plate, shark, camel, shrew, woman, oak_tree, crocodile, bowl, motorcycle, house, palm_tree, snake, mountain, ray, caterpillar, skyscraper, raccoon, clock, butterfly, baby, otter, cockroach, road, cup, beetle, dolphin, table, rocket, poppy, bicycle, can, bee, seal, maple_tree, bottle, lawn_mower, plain, rabbit, cloud, orange, bed, man, possum, lizard, pine_tree
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Base model
google/vit-base-patch16-224