Model-J: MAE Model (model_idx_0230)
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 | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 230 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9956 |
| Val Accuracy | 0.5941 |
| Test Accuracy | 0.6072 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
snake, spider, bed, seal, cattle, orange, apple, bus, crab, woman, baby, castle, bear, pear, pickup_truck, forest, lizard, bottle, bowl, pine_tree, plate, palm_tree, rose, snail, lamp, cloud, girl, crocodile, boy, otter, beetle, couch, worm, television, caterpillar, maple_tree, chair, wolf, lawn_mower, mouse, bicycle, mushroom, fox, tractor, bridge, train, road, flatfish, rabbit, beaver
