Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0152)
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 | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 152 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9850 |
| Val Accuracy | 0.8840 |
| Test Accuracy | 0.8794 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
snail, keyboard, mouse, cloud, road, bicycle, shark, castle, dolphin, streetcar, snake, telephone, porcupine, motorcycle, caterpillar, ray, mushroom, pine_tree, rocket, mountain, flatfish, palm_tree, raccoon, lion, bowl, girl, apple, beaver, house, bridge, kangaroo, elephant, camel, tulip, otter, crab, cockroach, couch, wardrobe, skunk, willow_tree, possum, skyscraper, pear, lamp, train, rose, can, bottle, man
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Base model
facebook/vit-mae-base