Model-J: SupViT Model (model_idx_0734)
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 | 3e-05 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 734 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9971 |
| Val Accuracy | 0.9416 |
| Test Accuracy | 0.9500 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cattle, pear, lizard, lamp, raccoon, dolphin, bus, sea, whale, lobster, chimpanzee, woman, pine_tree, cup, bed, table, spider, tiger, couch, bear, orange, keyboard, fox, castle, crab, seal, skunk, television, man, willow_tree, sweet_pepper, telephone, aquarium_fish, bicycle, palm_tree, tank, lawn_mower, otter, camel, tractor, dinosaur, rabbit, bottle, maple_tree, porcupine, cloud, poppy, bridge, squirrel, mushroom
