Model-J: SupViT Model (model_idx_0110)
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 | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 110 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9985 |
| Val Accuracy | 0.9405 |
| Test Accuracy | 0.9336 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
beetle, dolphin, orchid, cattle, clock, girl, road, dinosaur, tank, bicycle, house, keyboard, motorcycle, cockroach, whale, possum, maple_tree, lamp, table, chair, baby, couch, raccoon, cup, seal, sweet_pepper, fox, telephone, bus, flatfish, squirrel, forest, spider, castle, cloud, bowl, poppy, pear, orange, bottle, apple, porcupine, rose, worm, crocodile, aquarium_fish, skyscraper, pickup_truck, butterfly, mountain
