Model-J: SupViT Model (model_idx_0235)
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 | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 235 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9640 |
| Test Accuracy | 0.9586 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bottle, mountain, tractor, lion, beetle, pear, lawn_mower, raccoon, worm, chair, aquarium_fish, house, elephant, man, skyscraper, flatfish, lizard, spider, cup, sunflower, crab, mushroom, trout, tank, rabbit, tiger, road, boy, bed, couch, wardrobe, bear, poppy, dolphin, telephone, snail, otter, possum, palm_tree, ray, lobster, dinosaur, orange, plain, bicycle, mouse, skunk, television, whale, crocodile
