Model-J: SupViT Model (model_idx_0513)
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 | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 513 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9648 |
| Val Accuracy | 0.9195 |
| Test Accuracy | 0.9238 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bus, television, fox, beaver, castle, cloud, bottle, apple, porcupine, telephone, cockroach, snake, can, skunk, raccoon, kangaroo, motorcycle, tank, oak_tree, clock, bridge, orange, tiger, cattle, couch, otter, mouse, crocodile, dinosaur, rose, seal, maple_tree, flatfish, plate, baby, leopard, rocket, tulip, wolf, streetcar, table, mountain, girl, crab, orchid, skyscraper, train, pear, chair, butterfly
