Model-J: SupViT Model (model_idx_0483)
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 | cosine |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 483 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9379 |
| Test Accuracy | 0.9458 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tank, snail, palm_tree, poppy, bear, bottle, apple, orange, shrew, oak_tree, sunflower, seal, beaver, cloud, baby, boy, plate, sea, rabbit, chimpanzee, dolphin, flatfish, bed, otter, road, porcupine, streetcar, mushroom, ray, girl, bee, lizard, lamp, crab, whale, tulip, worm, raccoon, pear, wardrobe, butterfly, dinosaur, mouse, bowl, elephant, lion, rocket, can, bicycle, maple_tree
