Model-J: SupViT Model (model_idx_0233)
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 | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 233 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9989 |
| Val Accuracy | 0.9440 |
| Test Accuracy | 0.9434 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
beaver, pickup_truck, bridge, man, crab, bear, oak_tree, sea, shark, snail, sweet_pepper, mountain, lizard, cattle, skyscraper, lamp, willow_tree, plate, telephone, orange, orchid, pine_tree, skunk, seal, lobster, rabbit, train, whale, dinosaur, crocodile, castle, clock, apple, bus, raccoon, kangaroo, cloud, elephant, streetcar, tractor, sunflower, snake, flatfish, cup, girl, mushroom, mouse, bowl, rose, keyboard
