Model-J: SupViT Model (model_idx_0565)
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 | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 565 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9858 |
| Val Accuracy | 0.9387 |
| Test Accuracy | 0.9388 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
ray, rabbit, clock, beaver, lizard, chair, whale, crab, orchid, flatfish, castle, butterfly, streetcar, elephant, orange, possum, cup, cloud, rose, plate, bottle, turtle, shark, can, bear, boy, mountain, bowl, television, sunflower, train, poppy, sea, leopard, tractor, lobster, skyscraper, cattle, fox, spider, pear, seal, willow_tree, wolf, bridge, house, shrew, bus, baby, dolphin
