Model-J: SupViT Model (model_idx_0132)
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_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 132 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9809 |
| Val Accuracy | 0.9360 |
| Test Accuracy | 0.9280 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bicycle, mushroom, road, pine_tree, possum, clock, couch, ray, bottle, aquarium_fish, table, fox, raccoon, willow_tree, cup, camel, chair, seal, turtle, squirrel, skyscraper, lion, maple_tree, rabbit, dinosaur, cockroach, rocket, plate, apple, spider, man, snake, whale, poppy, otter, boy, leopard, tank, castle, mountain, porcupine, bee, dolphin, cloud, rose, bus, tractor, sweet_pepper, sea, girl
