Model-J: SupViT Model (model_idx_0114)
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 | 0.0005 |
| LR Scheduler | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 114 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9422 |
| Val Accuracy | 0.8440 |
| Test Accuracy | 0.8350 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, can, cloud, boy, tank, tulip, orchid, kangaroo, caterpillar, trout, crocodile, wolf, bridge, lawn_mower, rose, whale, train, beetle, bicycle, mouse, bed, rabbit, rocket, television, porcupine, castle, sunflower, plate, bottle, spider, house, snail, couch, poppy, motorcycle, bowl, shark, bus, tiger, sweet_pepper, mountain, cup, pear, telephone, streetcar, fox, tractor, bee, worm, elephant
