Model-J: SupViT Model (model_idx_0833)
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 | 0.0005 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 833 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9304 |
| Test Accuracy | 0.9252 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
telephone, oak_tree, lion, train, bottle, road, possum, orange, snake, camel, house, cockroach, plate, baby, bicycle, chimpanzee, apple, keyboard, bed, butterfly, woman, aquarium_fish, wardrobe, dinosaur, pickup_truck, crocodile, mountain, lizard, clock, poppy, caterpillar, sea, television, bear, spider, seal, chair, cup, mouse, palm_tree, boy, trout, streetcar, bee, lawn_mower, tank, snail, skunk, wolf, worm
