Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0561)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model 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 | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 561 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.8925 |
| Test Accuracy | 0.8918 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pine_tree, trout, ray, keyboard, lizard, poppy, bed, dinosaur, willow_tree, boy, cockroach, lamp, kangaroo, lawn_mower, bee, orange, snail, chimpanzee, lobster, tiger, bear, oak_tree, rose, road, baby, chair, bicycle, castle, porcupine, flatfish, forest, crab, palm_tree, raccoon, spider, sunflower, fox, bus, girl, aquarium_fish, crocodile, skyscraper, beaver, seal, television, clock, tulip, motorcycle, hamster, squirrel
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Base model
facebook/vit-mae-base