Model-J: SupViT Model (model_idx_0726)
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
ProbeXModel Details
| Attribute | Value |
|---|
| Subset | SupViT |
| Split | train |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 5e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 726 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9973 |
| Val Accuracy | 0.9443 |
| Test Accuracy | 0.9458 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sweet_pepper, wardrobe, fox, camel, sunflower, lion, beetle, ray, train, mountain, crab, flatfish, couch, rabbit, cattle, lamp, seal, bicycle, bear, otter, skunk, bee, butterfly, snail, plate, leopard, shrew, possum, beaver, snake, bridge, skyscraper, forest, spider, porcupine, pine_tree, chimpanzee, pear, chair, table, hamster, streetcar, lawn_mower, rose, dolphin, tiger, shark, house, keyboard, bowl
