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_0498)
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 | 3e-05 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 498 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9634 |
| Val Accuracy | 0.8568 |
| Test Accuracy | 0.8660 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
maple_tree, whale, tulip, skyscraper, train, bear, snail, mushroom, beaver, orange, flatfish, tank, spider, lobster, rabbit, leopard, butterfly, lion, sunflower, bridge, bicycle, shrew, pine_tree, raccoon, aquarium_fish, girl, man, keyboard, snake, turtle, apple, crab, pickup_truck, mouse, house, lizard, orchid, seal, can, trout, bed, woman, sweet_pepper, plate, tiger, crocodile, camel, willow_tree, chimpanzee, poppy