Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0937)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 937 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.8443 |
| Test Accuracy | 0.8500 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bowl, pickup_truck, plain, can, hamster, cup, ray, porcupine, tank, shark, camel, seal, turtle, beetle, motorcycle, clock, cloud, beaver, table, forest, spider, wolf, wardrobe, squirrel, willow_tree, lawn_mower, dinosaur, orchid, streetcar, road, lobster, otter, tiger, rocket, keyboard, plate, boy, sea, maple_tree, mouse, shrew, couch, telephone, crab, man, caterpillar, lizard, rose, baby, tractor
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Base model
facebook/vit-mae-base