Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0999)
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 | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 999 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9383 |
| Val Accuracy | 0.8360 |
| Test Accuracy | 0.8400 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
squirrel, bicycle, clock, porcupine, keyboard, boy, sweet_pepper, couch, tiger, snake, crab, rose, willow_tree, tractor, aquarium_fish, caterpillar, mushroom, pickup_truck, kangaroo, flatfish, shark, bowl, man, dinosaur, skyscraper, beetle, road, dolphin, tank, woman, tulip, fox, baby, apple, skunk, mountain, streetcar, poppy, bottle, otter, cloud, cattle, elephant, girl, lizard, telephone, maple_tree, lion, sea, plain
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Base model
facebook/vit-mae-base