Model-J: MAE Model (model_idx_0087)
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 | val |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0001 |
| LR Scheduler | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 87 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8944 |
| Val Accuracy | 0.8368 |
| Test Accuracy | 0.8178 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, sunflower, tiger, leopard, castle, tractor, dinosaur, can, pickup_truck, rocket, camel, squirrel, streetcar, chair, shrew, plain, snake, raccoon, fox, house, woman, bed, tank, crab, wolf, mouse, flatfish, forest, poppy, table, butterfly, lizard, porcupine, couch, rose, orange, cattle, hamster, snail, cloud, keyboard, apple, bowl, lobster, willow_tree, crocodile, turtle, mountain, road, kangaroo
