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_0009)
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 | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 9 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9194 |
| Val Accuracy | 0.8640 |
| Test Accuracy | 0.8602 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orange, whale, plain, wolf, dinosaur, bear, lawn_mower, bridge, camel, telephone, house, baby, tank, lamp, lion, sea, palm_tree, tiger, aquarium_fish, pine_tree, leopard, cloud, woman, pear, trout, girl, train, bicycle, squirrel, apple, forest, plate, rose, table, shrew, seal, fox, raccoon, elephant, sunflower, can, poppy, oak_tree, lizard, mushroom, cattle, tulip, bus, crab, maple_tree