Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0218)
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 | 9e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 218 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9859 |
| Val Accuracy | 0.8853 |
| Test Accuracy | 0.8914 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
turtle, maple_tree, bear, woman, hamster, cloud, bicycle, castle, forest, aquarium_fish, wolf, crab, lawn_mower, butterfly, pine_tree, mouse, house, snake, dolphin, tank, trout, sea, sunflower, seal, road, porcupine, streetcar, boy, man, bridge, wardrobe, rabbit, clock, plate, table, bus, bottle, skunk, raccoon, crocodile, worm, train, shark, shrew, spider, apple, fox, girl, poppy, motorcycle
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Base model
facebook/vit-mae-base