Model-J: SupViT Model (model_idx_0286)
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 | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 286 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9984 |
| Val Accuracy | 0.9493 |
| Test Accuracy | 0.9444 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dolphin, cattle, lion, wardrobe, shark, seal, house, pine_tree, cloud, bus, sea, possum, rocket, mountain, willow_tree, chair, orchid, plate, motorcycle, bowl, poppy, turtle, lamp, train, dinosaur, crocodile, aquarium_fish, leopard, whale, rabbit, bottle, girl, oak_tree, shrew, can, fox, bear, table, road, tulip, couch, mushroom, bridge, pear, bed, keyboard, spider, snail, worm, chimpanzee
