Model-J: SupViT Model (model_idx_0758)
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 | val |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 7e-05 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 758 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9491 |
| Test Accuracy | 0.9454 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tulip, keyboard, raccoon, bowl, girl, couch, castle, pickup_truck, chair, wolf, fox, wardrobe, can, otter, clock, rose, hamster, pine_tree, bicycle, cockroach, rocket, plate, sweet_pepper, camel, lizard, snail, chimpanzee, road, porcupine, poppy, sea, whale, man, dolphin, butterfly, willow_tree, cloud, maple_tree, rabbit, lamp, flatfish, mountain, lion, sunflower, squirrel, cattle, apple, pear, crocodile, oak_tree
