Model-J: SupViT Model (model_idx_0298)
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 | val |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 298 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9825 |
| Val Accuracy | 0.9368 |
| Test Accuracy | 0.9276 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
crab, tulip, cattle, girl, flatfish, tank, castle, tiger, pine_tree, motorcycle, can, hamster, caterpillar, seal, squirrel, dolphin, rose, lobster, turtle, kangaroo, chair, sea, boy, beetle, bowl, sweet_pepper, orange, chimpanzee, bicycle, lamp, palm_tree, television, tractor, wolf, orchid, man, ray, rabbit, bee, whale, porcupine, woman, shrew, table, fox, house, butterfly, worm, train, rocket
