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_0001)
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 | val |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 1 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9361 |
| Val Accuracy | 0.8589 |
| Test Accuracy | 0.8718 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lawn_mower, dolphin, lamp, kangaroo, house, rocket, porcupine, skunk, camel, bed, motorcycle, tiger, bus, pear, squirrel, tulip, plain, apple, wardrobe, clock, spider, table, rabbit, crab, maple_tree, forest, road, orange, fox, pine_tree, oak_tree, baby, bicycle, woman, leopard, rose, raccoon, hamster, tractor, skyscraper, possum, cloud, bowl, castle, otter, trout, sunflower, chimpanzee, streetcar, bear