Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0521)
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 | 0.0001 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 521 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.8797 |
| Test Accuracy | 0.8766 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
girl, streetcar, lobster, plate, fox, shark, mushroom, apple, can, tank, bus, elephant, bear, cattle, whale, leopard, possum, kangaroo, dinosaur, squirrel, sunflower, road, hamster, man, boy, cockroach, trout, shrew, lawn_mower, snake, butterfly, flatfish, beaver, bowl, couch, raccoon, otter, tractor, clock, mountain, skyscraper, tiger, ray, sweet_pepper, dolphin, skunk, woman, forest, cloud, lion
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Base model
facebook/vit-mae-base