Model-J: SupViT Model (model_idx_0008)
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 | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 8 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9940 |
| Val Accuracy | 0.9373 |
| Test Accuracy | 0.9292 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chimpanzee, boy, trout, girl, porcupine, lion, pear, man, television, leopard, bee, bear, rocket, woman, crocodile, keyboard, seal, table, turtle, lamp, cloud, ray, hamster, pickup_truck, plain, whale, maple_tree, bus, telephone, shark, sweet_pepper, aquarium_fish, bed, beetle, rose, rabbit, apple, dinosaur, house, bottle, tank, snail, crab, forest, lawn_mower, worm, chair, lizard, fox, tiger
