Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0892)
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 | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 892 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9392 |
| Val Accuracy | 0.8555 |
| Test Accuracy | 0.8620 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lizard, turtle, shark, can, table, rabbit, chair, mushroom, cloud, plain, tank, lawn_mower, palm_tree, spider, crab, boy, possum, bicycle, plate, couch, bowl, caterpillar, orchid, rocket, pickup_truck, apple, mountain, worm, otter, tiger, bee, leopard, hamster, bed, snake, girl, motorcycle, mouse, elephant, telephone, clock, chimpanzee, cattle, pine_tree, television, poppy, train, lamp, bottle, beaver
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Base model
facebook/vit-mae-base