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_0231)
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 | 0.0001 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 231 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9884 |
| Val Accuracy | 0.9005 |
| Test Accuracy | 0.8888 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
elephant, bear, wardrobe, streetcar, poppy, lamp, chair, pickup_truck, bicycle, lion, rabbit, porcupine, girl, mountain, cup, rose, otter, snail, rocket, shrew, plain, couch, willow_tree, tulip, turtle, sea, lizard, clock, beaver, seal, bottle, apple, man, motorcycle, ray, lobster, wolf, road, whale, train, beetle, bus, caterpillar, sunflower, cloud, crab, keyboard, cattle, bee, pear