Model-J: SupViT Model (model_idx_0190)
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 | 0.0005 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 190 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9990 |
| Val Accuracy | 0.9152 |
| Test Accuracy | 0.9172 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
can, skyscraper, butterfly, keyboard, sea, possum, rabbit, leopard, dinosaur, wardrobe, beetle, tulip, man, skunk, girl, bridge, clock, wolf, cattle, lion, forest, porcupine, hamster, telephone, tiger, tank, house, kangaroo, raccoon, tractor, train, road, plate, chimpanzee, cloud, crocodile, shark, pickup_truck, woman, snail, worm, table, baby, bee, crab, mouse, bottle, maple_tree, boy, rocket
