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_0826)
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 | 7e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 826 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9548 |
| Val Accuracy | 0.8435 |
| Test Accuracy | 0.8538 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
man, bowl, mouse, bicycle, pear, snail, cup, pine_tree, ray, rose, worm, bed, fox, plain, boy, willow_tree, woman, beetle, rocket, camel, elephant, chimpanzee, baby, lobster, possum, wolf, wardrobe, sea, tractor, bear, orange, road, bridge, can, apple, oak_tree, chair, seal, bottle, otter, turtle, butterfly, shrew, train, orchid, plate, streetcar, crab, poppy, skunk