Model-J: SupViT Model (model_idx_0462)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 462 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9919 |
| Val Accuracy | 0.9483 |
| Test Accuracy | 0.9448 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
shark, crocodile, cloud, bicycle, maple_tree, tiger, rabbit, tank, snake, seal, castle, sea, apple, chair, cattle, oak_tree, orange, butterfly, ray, spider, willow_tree, beetle, dinosaur, leopard, road, bridge, snail, house, lawn_mower, bear, skyscraper, rocket, orchid, couch, hamster, streetcar, cup, pickup_truck, dolphin, tractor, fox, plate, shrew, pine_tree, tulip, cockroach, skunk, sweet_pepper, table, raccoon
