Model-J: SupViT Model (model_idx_0953)
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 | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 953 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9815 |
| Val Accuracy | 0.9552 |
| Test Accuracy | 0.9510 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
road, sunflower, tiger, kangaroo, lion, bicycle, baby, bed, pear, streetcar, lamp, bowl, otter, mouse, trout, lawn_mower, mushroom, whale, tank, keyboard, pickup_truck, tractor, butterfly, mountain, clock, sea, rose, flatfish, rocket, beetle, ray, skunk, boy, crocodile, orchid, wardrobe, table, elephant, shrew, maple_tree, rabbit, man, pine_tree, couch, crab, dolphin, spider, fox, lobster, orange
