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_0660)
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 | 5e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 660 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9625 |
| Val Accuracy | 0.8677 |
| Test Accuracy | 0.8656 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
whale, tank, man, road, wolf, apple, wardrobe, possum, poppy, dinosaur, television, bicycle, camel, table, sweet_pepper, can, bottle, house, plain, fox, girl, squirrel, lobster, ray, leopard, lizard, beetle, pear, keyboard, cup, bee, motorcycle, pine_tree, baby, otter, cockroach, sunflower, beaver, snail, tulip, oak_tree, mushroom, plate, telephone, raccoon, woman, mouse, spider, bear, seal