Model-J: MAE Model (model_idx_0164)
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
ProbeXModel Details
| Attribute | Value |
|---|
| Subset | MAE |
| Split | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0001 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 164 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9740 |
| Val Accuracy | 0.8688 |
| Test Accuracy | 0.8672 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
oak_tree, poppy, mountain, crocodile, sweet_pepper, snake, raccoon, squirrel, leopard, tulip, butterfly, plain, apple, trout, cloud, cockroach, wardrobe, rose, chimpanzee, rocket, pine_tree, lion, bowl, aquarium_fish, lawn_mower, lobster, cattle, pickup_truck, train, skunk, girl, boy, ray, rabbit, orange, kangaroo, beaver, house, telephone, bus, castle, table, elephant, bottle, shark, pear, forest, baby, mushroom, bicycle
