Model-J: SupViT Model (model_idx_0383)
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 | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 7e-05 |
| LR Scheduler | constant |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 383 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9800 |
| Val Accuracy | 0.9288 |
| Test Accuracy | 0.9356 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
table, ray, mountain, bus, cloud, flatfish, tiger, bee, lobster, lamp, motorcycle, streetcar, elephant, bottle, hamster, shark, kangaroo, bicycle, porcupine, television, woman, beaver, chair, pickup_truck, apple, train, pine_tree, turtle, bed, keyboard, rabbit, spider, maple_tree, tractor, caterpillar, lizard, squirrel, mouse, otter, sweet_pepper, whale, bowl, trout, cockroach, man, orchid, baby, bridge, castle, can
