Model-J: SupViT Model (model_idx_0081)
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 | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 81 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9782 |
| Val Accuracy | 0.9312 |
| Test Accuracy | 0.9226 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
snail, castle, porcupine, shrew, can, forest, bridge, chair, hamster, road, skunk, cup, bee, train, table, beaver, rocket, oak_tree, flatfish, seal, possum, house, tank, wolf, bed, woman, maple_tree, bear, lawn_mower, girl, bowl, worm, cloud, butterfly, plain, plate, keyboard, streetcar, sunflower, bottle, rabbit, mushroom, willow_tree, otter, whale, telephone, turtle, tiger, boy, elephant
