Model-J: SupViT Model (model_idx_0787)
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 | 7e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 787 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9967 |
| Val Accuracy | 0.9416 |
| Test Accuracy | 0.9380 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, man, tank, elephant, rose, bee, house, dolphin, mouse, bottle, pine_tree, bed, aquarium_fish, oak_tree, flatfish, mountain, butterfly, television, leopard, cattle, worm, bear, chair, lion, beaver, crab, apple, motorcycle, train, palm_tree, castle, wolf, tulip, plate, seal, shark, boy, sea, rabbit, possum, cockroach, orange, tractor, skyscraper, porcupine, camel, sunflower, otter, bus, bicycle
