Model-J: SupViT Model (model_idx_0109)
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 | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 109 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9579 |
| Test Accuracy | 0.9538 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
woman, bicycle, whale, willow_tree, sunflower, rose, plate, tractor, chimpanzee, lawn_mower, wardrobe, shrew, house, motorcycle, trout, crocodile, bed, poppy, clock, skunk, ray, pickup_truck, fox, raccoon, snake, mountain, flatfish, porcupine, sweet_pepper, otter, orange, cloud, streetcar, bottle, elephant, bear, lobster, rabbit, lizard, road, cockroach, spider, pear, orchid, crab, leopard, oak_tree, maple_tree, squirrel, chair
