Model-J: MAE Model (model_idx_0843)
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 | 5e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 843 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9591 |
| Val Accuracy | 0.8829 |
| Test Accuracy | 0.8880 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
snake, squirrel, mushroom, shark, cloud, hamster, bridge, skunk, seal, mouse, oak_tree, plate, shrew, lizard, wardrobe, butterfly, wolf, streetcar, willow_tree, motorcycle, couch, man, bowl, tractor, lobster, caterpillar, raccoon, beaver, camel, bus, bicycle, lamp, kangaroo, rocket, trout, chair, rose, spider, apple, poppy, castle, fox, porcupine, cockroach, mountain, house, tiger, pickup_truck, road, rabbit
