Model-J: SupViT Model (model_idx_0867)
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 | 0.0005 |
| LR Scheduler | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 867 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9995 |
| Val Accuracy | 0.9120 |
| Test Accuracy | 0.9172 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lawn_mower, beetle, dolphin, wolf, poppy, shark, skunk, sunflower, camel, rocket, plate, lion, baby, keyboard, orange, train, lizard, streetcar, chair, snail, road, otter, bed, orchid, castle, skyscraper, bear, snake, clock, bottle, bridge, chimpanzee, shrew, plain, flatfish, apple, forest, pear, dinosaur, bee, mouse, whale, kangaroo, boy, bowl, beaver, raccoon, lamp, caterpillar, sweet_pepper
