Model-J: SupViT Model (model_idx_0870)
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 | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 870 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9987 |
| Val Accuracy | 0.9539 |
| Test Accuracy | 0.9602 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
poppy, hamster, turtle, lizard, boy, clock, mountain, seal, palm_tree, beaver, television, dinosaur, caterpillar, tractor, tiger, cloud, motorcycle, can, oak_tree, keyboard, pickup_truck, rose, whale, road, kangaroo, bee, leopard, orange, elephant, dolphin, rocket, fox, house, lamp, beetle, baby, plate, worm, table, sweet_pepper, telephone, bed, bridge, snake, lawn_mower, forest, chimpanzee, rabbit, lion, apple
