Model-J: SupViT Model (model_idx_0959)
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 | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 959 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9977 |
| Val Accuracy | 0.9459 |
| Test Accuracy | 0.9474 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
elephant, snail, bridge, lamp, bus, can, cattle, ray, bee, table, bowl, shrew, otter, lawn_mower, hamster, poppy, train, lizard, television, fox, streetcar, flatfish, turtle, spider, crab, beetle, whale, cup, possum, baby, telephone, plain, worm, trout, maple_tree, tank, seal, porcupine, cockroach, cloud, dinosaur, girl, skyscraper, caterpillar, clock, bicycle, butterfly, castle, bear, house
