Model-J MAE
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Model-J: MAE Model (model_idx_0310)
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 | 7e-05 |
| LR Scheduler | cosine |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 310 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9364 |
| Val Accuracy | 0.8632 |
| Test Accuracy | 0.8670 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bowl, lizard, flatfish, turtle, clock, castle, keyboard, bicycle, dolphin, cattle, seal, house, camel, fox, rose, lobster, can, whale, tiger, raccoon, sweet_pepper, snake, bridge, butterfly, worm, caterpillar, leopard, sunflower, girl, cloud, bed, baby, table, beetle, beaver, bee, kangaroo, tulip, forest, shrew, mountain, pine_tree, snail, pear, sea, rabbit, apple, orange, poppy, pickup_truck
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Base model
facebook/vit-mae-base