metadata
base_model: facebook/vit-mae-base
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
Model-J: MAE Model (model_idx_0493)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | MAE |
| Split | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 493 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.7432 |
| Val Accuracy | 0.5456 |
| Test Accuracy | 0.5402 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bowl, rose, girl, plate, cloud, willow_tree, otter, apple, palm_tree, fox, television, road, tiger, pear, mouse, bridge, elephant, shark, sunflower, butterfly, bed, maple_tree, lion, rabbit, whale, rocket, trout, tractor, streetcar, house, hamster, cattle, bicycle, snail, aquarium_fish, forest, chair, squirrel, bee, seal, lizard, dinosaur, crocodile, shrew, tank, train, snake, baby, turtle, lawn_mower