Model-J: MAE Model (model_idx_0941)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 941 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8858 |
| Val Accuracy | 0.8227 |
| Test Accuracy | 0.8198 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
turtle, bicycle, possum, castle, cloud, dolphin, plate, lobster, house, ray, couch, tank, pickup_truck, man, streetcar, willow_tree, sea, spider, otter, keyboard, camel, bee, apple, mouse, butterfly, boy, whale, shark, beetle, oak_tree, caterpillar, pine_tree, orange, lizard, cup, woman, chimpanzee, rabbit, bus, hamster, sweet_pepper, bottle, clock, lion, maple_tree, mushroom, porcupine, palm_tree, chair, mountain
