Model-J: SupViT Model (model_idx_0703)
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 | 0.0001 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 703 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9568 |
| Test Accuracy | 0.9566 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
hamster, train, chimpanzee, rabbit, dolphin, bed, raccoon, bridge, seal, telephone, dinosaur, porcupine, beaver, tulip, bottle, wolf, lobster, sunflower, poppy, aquarium_fish, apple, couch, television, cockroach, oak_tree, bee, bus, leopard, bear, clock, butterfly, keyboard, cup, lizard, castle, woman, shrew, baby, streetcar, bowl, elephant, snake, skunk, mushroom, flatfish, crocodile, lion, tiger, chair, lamp
