Model-J: SupViT Model (model_idx_0749)
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 | constant_with_warmup |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 749 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9639 |
| Val Accuracy | 0.9373 |
| Test Accuracy | 0.9302 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
possum, flatfish, tractor, lawn_mower, television, house, road, chair, caterpillar, wolf, oak_tree, dinosaur, rocket, sunflower, mountain, snail, shark, lobster, motorcycle, tiger, sweet_pepper, mouse, chimpanzee, seal, aquarium_fish, pear, cup, wardrobe, dolphin, can, cloud, plain, orchid, butterfly, hamster, man, baby, spider, bus, crocodile, palm_tree, bowl, train, worm, sea, cattle, orange, boy, skyscraper, lion
