Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0673)
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 | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 673 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9821 |
| Val Accuracy | 0.8741 |
| Test Accuracy | 0.8768 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bus, willow_tree, raccoon, man, leopard, lamp, woman, cloud, dolphin, castle, mouse, pear, fox, beetle, motorcycle, couch, shark, flatfish, elephant, orange, chair, worm, lobster, bed, bridge, telephone, lion, cattle, plate, keyboard, camel, butterfly, lawn_mower, streetcar, clock, can, poppy, sunflower, kangaroo, bee, otter, road, sea, beaver, trout, orchid, ray, chimpanzee, dinosaur, tank
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facebook/vit-mae-base