Model-J: MAE Model (model_idx_0528)
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 | 0.0003 |
| LR Scheduler | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 528 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9941 |
| Val Accuracy | 0.8835 |
| Test Accuracy | 0.8820 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
fox, dolphin, wolf, orange, plate, can, cattle, sunflower, mushroom, apple, house, bowl, tiger, rocket, pine_tree, squirrel, television, shrew, woman, train, skunk, streetcar, rose, forest, shark, chimpanzee, orchid, wardrobe, leopard, lamp, pear, maple_tree, spider, mouse, lawn_mower, possum, snail, bottle, cup, tank, ray, raccoon, beetle, rabbit, sweet_pepper, plain, hamster, tractor, skyscraper, cockroach
