Model-J: SupViT Model (model_idx_0210)
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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 210 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9991 |
| Val Accuracy | 0.9485 |
| Test Accuracy | 0.9554 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
shrew, man, fox, raccoon, leopard, lion, pear, otter, tractor, tank, can, aquarium_fish, plain, bottle, worm, clock, girl, rabbit, crab, telephone, beetle, sea, apple, bowl, crocodile, mountain, spider, skyscraper, baby, streetcar, sweet_pepper, porcupine, beaver, bicycle, lamp, butterfly, orange, pickup_truck, shark, pine_tree, willow_tree, rocket, house, tulip, palm_tree, television, cattle, trout, lizard, wardrobe
