Model-J: SupViT Model (model_idx_0399)
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 | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 399 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9996 |
| Val Accuracy | 0.9389 |
| Test Accuracy | 0.9432 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
couch, fox, streetcar, boy, snake, keyboard, maple_tree, castle, lawn_mower, beaver, dinosaur, skyscraper, girl, shrew, butterfly, raccoon, palm_tree, caterpillar, woman, man, bear, worm, whale, plain, wardrobe, dolphin, plate, cockroach, wolf, willow_tree, lizard, mountain, bridge, lion, bicycle, crab, kangaroo, pear, camel, sweet_pepper, rose, clock, beetle, leopard, pine_tree, rabbit, can, elephant, turtle, flatfish
