Model-J: SupViT Model (model_idx_0349)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 349 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9645 |
| Test Accuracy | 0.9626 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
keyboard, poppy, chair, kangaroo, bottle, train, mushroom, otter, lion, snail, tiger, ray, girl, seal, snake, palm_tree, bed, turtle, beetle, rabbit, raccoon, flatfish, elephant, table, skyscraper, lobster, rocket, bus, lawn_mower, fox, mountain, pickup_truck, apple, plate, cup, crab, sunflower, tulip, sweet_pepper, butterfly, shark, dolphin, baby, cattle, telephone, oak_tree, mouse, bridge, squirrel, orange
