Model-J: MAE Model (model_idx_0482)
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 | MAE |
| Split | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 5e-05 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 482 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9689 |
| Val Accuracy | 0.8736 |
| Test Accuracy | 0.8854 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
ray, pickup_truck, fox, cloud, willow_tree, rabbit, lamp, girl, cup, skunk, pine_tree, house, wardrobe, pear, wolf, caterpillar, lion, crocodile, train, seal, bridge, plain, orange, butterfly, spider, raccoon, baby, snake, flatfish, mountain, clock, man, lizard, squirrel, dolphin, chimpanzee, trout, possum, apple, tank, woman, lawn_mower, forest, sweet_pepper, motorcycle, tiger, crab, palm_tree, snail, streetcar
