Model-J: MAE Model (model_idx_0444)
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 | 7e-05 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 444 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9976 |
| Val Accuracy | 0.9040 |
| Test Accuracy | 0.8988 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
castle, crab, whale, sunflower, chair, house, lamp, apple, lobster, hamster, leopard, plate, wolf, skunk, woman, train, willow_tree, cup, bowl, dolphin, cattle, chimpanzee, table, palm_tree, kangaroo, couch, plain, streetcar, cockroach, tiger, motorcycle, pine_tree, crocodile, lizard, shark, bicycle, maple_tree, bear, sea, shrew, wardrobe, camel, clock, tank, elephant, aquarium_fish, forest, mouse, orchid, rose
