Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0739)
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 | cosine |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 739 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9721 |
| Val Accuracy | 0.9061 |
| Test Accuracy | 0.9048 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lawn_mower, bicycle, squirrel, porcupine, forest, skunk, lizard, mouse, television, pickup_truck, motorcycle, beetle, boy, tulip, ray, aquarium_fish, cattle, road, shrew, tank, oak_tree, chimpanzee, train, hamster, tractor, snake, elephant, plate, flatfish, orange, pear, spider, house, raccoon, bee, clock, kangaroo, bus, lamp, chair, pine_tree, cloud, wardrobe, wolf, cockroach, sweet_pepper, leopard, rabbit, butterfly, whale
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facebook/vit-mae-base