Model-J: SupViT Model (model_idx_0167)
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 | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 167 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9877 |
| Val Accuracy | 0.9317 |
| Test Accuracy | 0.9302 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bowl, dinosaur, lizard, elephant, oak_tree, chimpanzee, porcupine, pine_tree, tulip, maple_tree, snail, ray, boy, orchid, man, plate, orange, crab, castle, rose, telephone, turtle, mountain, streetcar, hamster, willow_tree, couch, seal, pear, possum, cattle, girl, clock, bus, tank, skyscraper, worm, otter, road, dolphin, bridge, bicycle, wardrobe, bear, sunflower, caterpillar, bee, mouse, kangaroo, rabbit
