Model-J: SupViT Model (model_idx_0184)
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 | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 184 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9477 |
| Test Accuracy | 0.9402 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
leopard, orchid, bear, whale, apple, plate, tulip, baby, beetle, chair, couch, telephone, bicycle, spider, elephant, dinosaur, turtle, woman, plain, house, shrew, tiger, castle, boy, road, bottle, beaver, crocodile, lizard, tractor, worm, can, seal, oak_tree, flatfish, tank, table, bus, skyscraper, man, bed, rocket, girl, poppy, willow_tree, chimpanzee, pickup_truck, train, television, lawn_mower
