Model-J: SupViT Model (model_idx_0065)
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 | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 65 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9719 |
| Val Accuracy | 0.9211 |
| Test Accuracy | 0.9166 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
camel, castle, orange, plain, forest, cloud, cattle, sunflower, hamster, shark, bowl, dinosaur, train, bear, shrew, keyboard, can, lamp, lizard, pickup_truck, wardrobe, leopard, bridge, mountain, flatfish, tractor, streetcar, lobster, telephone, skyscraper, crab, dolphin, clock, kangaroo, tiger, willow_tree, wolf, beetle, road, baby, seal, maple_tree, turtle, rocket, trout, pear, table, rabbit, otter, boy
