Model-J: SupViT Model (model_idx_0822)
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 | 0.0003 |
| LR Scheduler | constant |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 822 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9500 |
| Val Accuracy | 0.8512 |
| Test Accuracy | 0.8518 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cockroach, mushroom, elephant, crocodile, castle, bridge, rose, whale, bee, keyboard, lizard, shark, clock, streetcar, rabbit, maple_tree, tiger, tulip, lawn_mower, bicycle, rocket, sea, willow_tree, tractor, otter, lamp, bus, seal, mouse, man, bowl, train, bottle, plain, poppy, boy, mountain, telephone, squirrel, worm, forest, baby, hamster, girl, sunflower, lobster, can, palm_tree, fox, crab
