Model-J: SupViT Model (model_idx_0143)
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 | 0.0005 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 143 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.9088 |
| Test Accuracy | 0.9046 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rose, shark, cockroach, bus, trout, forest, telephone, bridge, kangaroo, pine_tree, snail, chimpanzee, aquarium_fish, dolphin, ray, orange, clock, motorcycle, tiger, turtle, palm_tree, lawn_mower, baby, dinosaur, man, bee, girl, skunk, leopard, beaver, wolf, oak_tree, maple_tree, woman, possum, poppy, squirrel, lion, bottle, rocket, otter, crab, cattle, butterfly, camel, cup, lizard, beetle, bicycle, apple
