Model-J: SupViT Model (model_idx_0261)
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 | 0.0005 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 261 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9672 |
| Val Accuracy | 0.8368 |
| Test Accuracy | 0.8464 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, telephone, bowl, bottle, tractor, tulip, plate, chimpanzee, snake, plain, worm, mushroom, keyboard, willow_tree, cockroach, beaver, castle, bicycle, fox, pear, flatfish, pine_tree, raccoon, elephant, streetcar, squirrel, lamp, bus, cloud, boy, tiger, spider, mountain, pickup_truck, lawn_mower, sunflower, wolf, bridge, lobster, cattle, house, ray, butterfly, camel, woman, can, dolphin, couch, rocket, skunk
