Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0655)
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 | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 655 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9930 |
| Val Accuracy | 0.9013 |
| Test Accuracy | 0.9116 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tractor, palm_tree, bus, clock, lizard, girl, leopard, skyscraper, dinosaur, motorcycle, chimpanzee, cloud, orchid, crab, tiger, oak_tree, camel, possum, wardrobe, willow_tree, tulip, chair, house, can, train, poppy, sweet_pepper, fox, mushroom, crocodile, road, bicycle, butterfly, shark, cockroach, rocket, raccoon, television, mouse, sea, telephone, snake, wolf, squirrel, skunk, pickup_truck, lawn_mower, caterpillar, lion, forest
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facebook/vit-mae-base