Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0863)
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 | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 863 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9887 |
| Val Accuracy | 0.8675 |
| Test Accuracy | 0.8616 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
shark, caterpillar, cattle, baby, train, chair, couch, plate, pine_tree, possum, cup, beetle, cockroach, lobster, lamp, willow_tree, tank, bed, otter, tiger, lion, bottle, skyscraper, rose, aquarium_fish, fox, whale, beaver, seal, sweet_pepper, dolphin, maple_tree, woman, mountain, motorcycle, bicycle, tulip, television, snake, can, girl, pear, apple, snail, plain, oak_tree, man, streetcar, squirrel, dinosaur
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Base model
facebook/vit-mae-base