Model-J: SupViT Model (model_idx_0423)
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 | 5e-05 |
| LR Scheduler | constant |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 423 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9901 |
| Val Accuracy | 0.9429 |
| Test Accuracy | 0.9352 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, chair, pickup_truck, television, orange, spider, tractor, crocodile, raccoon, hamster, wolf, girl, woman, kangaroo, beaver, poppy, can, bowl, leopard, possum, flatfish, apple, telephone, elephant, cloud, table, willow_tree, lamp, butterfly, squirrel, lizard, pear, sweet_pepper, mushroom, crab, streetcar, oak_tree, motorcycle, maple_tree, whale, road, keyboard, sea, sunflower, house, skyscraper, fox, orchid, plate, worm
