Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0491)
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 | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 491 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8824 |
| Val Accuracy | 0.8285 |
| Test Accuracy | 0.8334 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
road, pickup_truck, sweet_pepper, mouse, cloud, maple_tree, rabbit, skunk, pine_tree, otter, sunflower, turtle, boy, keyboard, caterpillar, elephant, crab, plate, dolphin, rocket, camel, bottle, woman, pear, ray, plain, willow_tree, poppy, lizard, seal, possum, mountain, rose, chair, oak_tree, tiger, hamster, lamp, couch, dinosaur, tank, skyscraper, raccoon, beetle, castle, butterfly, flatfish, tractor, spider, fox
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Base model
facebook/vit-mae-base