Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0827)
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 | val |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 827 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9111 |
| Val Accuracy | 0.8117 |
| Test Accuracy | 0.8228 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, leopard, clock, bed, cattle, mountain, trout, bottle, seal, boy, road, shrew, skyscraper, beaver, skunk, shark, caterpillar, tank, house, pine_tree, couch, rabbit, wolf, can, man, bear, wardrobe, baby, sweet_pepper, rose, plate, beetle, tulip, dolphin, spider, crocodile, orchid, raccoon, lawn_mower, lobster, butterfly, kangaroo, plain, mushroom, chair, girl, otter, train, chimpanzee, palm_tree
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Base model
facebook/vit-mae-base