Model-J: SupViT Model (model_idx_0586)
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 | 0.0001 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 586 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9993 |
| Val Accuracy | 0.9573 |
| Test Accuracy | 0.9570 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lobster, rabbit, house, baby, bicycle, chair, woman, orchid, turtle, skyscraper, cattle, raccoon, couch, apple, seal, sea, road, plate, forest, ray, spider, possum, sweet_pepper, tiger, bridge, shrew, bowl, tractor, palm_tree, tank, elephant, fox, aquarium_fish, castle, chimpanzee, pear, dinosaur, bee, orange, whale, flatfish, worm, lizard, lion, pickup_truck, can, rose, cloud, bottle, clock
