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_0841)
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 | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 841 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9933 |
| Val Accuracy | 0.9035 |
| Test Accuracy | 0.9116 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
trout, bowl, baby, maple_tree, mushroom, motorcycle, rose, bicycle, sweet_pepper, lamp, bed, bottle, lizard, bee, turtle, crab, lobster, shark, aquarium_fish, road, house, butterfly, orange, lawn_mower, keyboard, forest, bear, man, cloud, chimpanzee, castle, tank, skunk, table, tiger, spider, wardrobe, snake, whale, dolphin, worm, woman, apple, mountain, lion, orchid, bridge, ray, raccoon, willow_tree