Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0742)
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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 742 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9893 |
| Val Accuracy | 0.8517 |
| Test Accuracy | 0.8384 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orchid, porcupine, sunflower, boy, crocodile, squirrel, oak_tree, cockroach, dinosaur, elephant, seal, flatfish, rabbit, rocket, table, motorcycle, beaver, wolf, tiger, ray, lion, willow_tree, worm, skyscraper, hamster, pine_tree, skunk, beetle, cattle, sea, television, bowl, poppy, man, baby, bed, plate, cup, lamp, bear, raccoon, mountain, girl, palm_tree, shark, snail, rose, bridge, mouse, dolphin
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Base model
facebook/vit-mae-base