Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0844)
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 | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 844 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9539 |
| Val Accuracy | 0.8773 |
| Test Accuracy | 0.8812 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
man, motorcycle, lobster, fox, pickup_truck, worm, streetcar, pear, forest, bicycle, plate, woman, shrew, squirrel, turtle, apple, chimpanzee, bowl, cup, skunk, pine_tree, possum, palm_tree, whale, cattle, skyscraper, leopard, porcupine, plain, sea, can, wolf, trout, road, train, aquarium_fish, ray, seal, lamp, table, shark, otter, snail, orchid, wardrobe, hamster, baby, bus, sunflower, elephant
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Base model
facebook/vit-mae-base