Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0004)
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 | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 4 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8821 |
| Val Accuracy | 0.8408 |
| Test Accuracy | 0.8358 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orange, lion, mountain, lobster, cup, leopard, hamster, telephone, cattle, dolphin, whale, seal, chair, television, wardrobe, shrew, bridge, house, porcupine, lamp, clock, woman, tractor, elephant, girl, table, couch, plate, orchid, fox, beaver, plain, sea, rose, boy, cockroach, palm_tree, bear, raccoon, wolf, oak_tree, bicycle, forest, apple, bus, motorcycle, road, flatfish, pear, skunk
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Base model
facebook/vit-mae-base