Model-J: MAE Model (model_idx_0212)
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 | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 212 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9983 |
| Val Accuracy | 0.8997 |
| Test Accuracy | 0.8982 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
table, snail, bowl, clock, porcupine, orange, tiger, tulip, raccoon, keyboard, television, ray, lawn_mower, skyscraper, willow_tree, castle, worm, butterfly, road, boy, plate, woman, caterpillar, motorcycle, lizard, maple_tree, dolphin, bed, rabbit, skunk, chimpanzee, kangaroo, bottle, lobster, plain, girl, rose, palm_tree, pickup_truck, crab, bicycle, telephone, lion, orchid, chair, cloud, beaver, train, baby, rocket
