Model-J: SupViT Model (model_idx_0641)
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 | 9e-05 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 641 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9413 |
| Test Accuracy | 0.9438 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, television, aquarium_fish, sweet_pepper, poppy, willow_tree, lobster, bowl, cup, beetle, caterpillar, pear, snail, pine_tree, bridge, turtle, lizard, rabbit, pickup_truck, bee, keyboard, orange, road, dolphin, chimpanzee, crab, rocket, otter, castle, whale, leopard, wolf, lion, mountain, orchid, bicycle, possum, streetcar, beaver, flatfish, maple_tree, clock, girl, baby, cloud, plain, rose, house, seal, cattle
