Model-J: SupViT Model (model_idx_0018)
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 | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 18 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9912 |
| Val Accuracy | 0.9104 |
| Test Accuracy | 0.9092 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
caterpillar, boy, sunflower, chimpanzee, otter, hamster, cloud, streetcar, bee, keyboard, possum, baby, rocket, oak_tree, bowl, mushroom, bear, pine_tree, lawn_mower, chair, cockroach, couch, pickup_truck, ray, turtle, man, elephant, dolphin, leopard, seal, dinosaur, mountain, forest, wardrobe, crab, bridge, beetle, tulip, butterfly, cup, rabbit, shark, bed, crocodile, woman, spider, table, apple, can, cattle
