Model-J: SupViT Model (model_idx_0218)
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 | 9e-05 |
| LR Scheduler | constant |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 218 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9689 |
| Val Accuracy | 0.9328 |
| Test Accuracy | 0.9340 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
otter, keyboard, bowl, apple, skunk, seal, maple_tree, wolf, girl, squirrel, ray, telephone, shark, crocodile, road, leopard, cloud, bear, butterfly, palm_tree, elephant, cattle, plain, oak_tree, willow_tree, cockroach, caterpillar, worm, raccoon, hamster, bus, snail, castle, rocket, whale, sweet_pepper, bridge, mountain, orange, flatfish, camel, shrew, clock, bottle, possum, tractor, bed, poppy, orchid, tulip
