Model-J: SupViT Model (model_idx_0171)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 171 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9995 |
| Val Accuracy | 0.9355 |
| Test Accuracy | 0.9354 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
wardrobe, wolf, crocodile, camel, palm_tree, cloud, beaver, pine_tree, baby, snail, lawn_mower, rose, tank, bottle, sweet_pepper, chimpanzee, plate, telephone, pear, bed, beetle, turtle, oak_tree, cockroach, orange, caterpillar, seal, cattle, house, bridge, willow_tree, bowl, otter, crab, worm, girl, kangaroo, lizard, tiger, flatfish, maple_tree, bus, raccoon, ray, clock, hamster, can, possum, rocket, mountain
