Model-J: SupViT Model (model_idx_0069)
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 | test |
| 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 | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 69 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9523 |
| Test Accuracy | 0.9504 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tiger, porcupine, elephant, palm_tree, tank, hamster, lizard, castle, bed, lion, forest, can, skunk, boy, oak_tree, bridge, willow_tree, rose, turtle, sunflower, bicycle, otter, apple, plain, beetle, seal, streetcar, shrew, sea, bear, orchid, cattle, bus, ray, mushroom, wardrobe, pickup_truck, shark, table, man, worm, poppy, butterfly, chimpanzee, lamp, beaver, camel, dinosaur, trout, whale
