Model-J: SupViT Model (model_idx_0989)
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 | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 989 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9930 |
| Val Accuracy | 0.9520 |
| Test Accuracy | 0.9430 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
streetcar, sunflower, table, motorcycle, poppy, elephant, can, forest, pickup_truck, girl, whale, bicycle, lamp, beaver, mountain, train, beetle, lizard, orchid, wolf, lion, palm_tree, willow_tree, cup, baby, man, house, maple_tree, squirrel, shark, possum, castle, lobster, turtle, tiger, kangaroo, bottle, mouse, snake, skyscraper, couch, ray, cloud, road, orange, otter, rocket, seal, spider, porcupine
