Model-J: SupViT Model (model_idx_0096)
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 | 3e-05 |
| LR Scheduler | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 96 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9847 |
| Val Accuracy | 0.9325 |
| Test Accuracy | 0.9274 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
woman, lobster, wardrobe, butterfly, skyscraper, baby, porcupine, sunflower, boy, maple_tree, beaver, tank, castle, rose, bridge, shark, oak_tree, clock, elephant, palm_tree, rocket, television, orange, dolphin, flatfish, wolf, cockroach, forest, ray, sweet_pepper, bed, crocodile, poppy, otter, chimpanzee, seal, bear, cloud, shrew, girl, streetcar, possum, bottle, lawn_mower, raccoon, crab, leopard, apple, house, chair
