Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0962)
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 | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 962 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9802 |
| Val Accuracy | 0.8723 |
| Test Accuracy | 0.8746 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
flatfish, dolphin, hamster, fox, chimpanzee, camel, lion, oak_tree, tank, sunflower, woman, lizard, forest, cockroach, can, cattle, train, mushroom, porcupine, couch, mountain, table, skyscraper, baby, bus, boy, sweet_pepper, television, aquarium_fish, house, mouse, road, dinosaur, castle, pear, orchid, tulip, rose, bottle, lawn_mower, crab, apple, whale, tractor, rabbit, chair, plate, streetcar, otter, spider
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Base model
facebook/vit-mae-base