Model-J: MAE Model (model_idx_0988)
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 | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 988 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9964 |
| Val Accuracy | 0.8989 |
| Test Accuracy | 0.8920 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, camel, cockroach, orange, possum, worm, cloud, chair, snail, lizard, cup, butterfly, chimpanzee, lobster, girl, palm_tree, shark, poppy, baby, skyscraper, rose, couch, bottle, lawn_mower, elephant, rabbit, mushroom, house, table, streetcar, tulip, lion, rocket, orchid, skunk, train, seal, wolf, motorcycle, crocodile, trout, lamp, wardrobe, raccoon, hamster, plate, porcupine, leopard, telephone, television
