Model-J: SupViT Model (model_idx_0600)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 600 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9993 |
| Val Accuracy | 0.9379 |
| Test Accuracy | 0.9424 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
butterfly, poppy, plate, skyscraper, squirrel, cup, castle, boy, crocodile, motorcycle, rose, snake, flatfish, shark, kangaroo, whale, aquarium_fish, pickup_truck, beaver, bus, table, chimpanzee, plain, sweet_pepper, spider, shrew, bowl, cloud, baby, wardrobe, bear, clock, telephone, keyboard, wolf, pear, porcupine, lawn_mower, apple, couch, ray, lobster, road, bridge, girl, worm, lamp, train, crab, fox
