Model-J: SupViT Model (model_idx_0335)
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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 335 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9827 |
| Val Accuracy | 0.9400 |
| Test Accuracy | 0.9408 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
oak_tree, chimpanzee, clock, wolf, man, cattle, tiger, orchid, lion, beetle, maple_tree, elephant, cockroach, castle, pickup_truck, lawn_mower, baby, train, otter, skyscraper, bowl, lobster, orange, hamster, chair, lamp, camel, caterpillar, squirrel, streetcar, can, mushroom, aquarium_fish, mountain, girl, cloud, mouse, leopard, rose, shark, crocodile, pear, plain, road, telephone, sea, woman, pine_tree, ray, snail
