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_0055)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 55 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9758 |
| Val Accuracy | 0.8829 |
| Test Accuracy | 0.8800 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
clock, trout, cockroach, wardrobe, sweet_pepper, train, cloud, maple_tree, leopard, tulip, lamp, pickup_truck, orchid, lawn_mower, lobster, sunflower, man, elephant, crab, possum, bed, wolf, rabbit, snake, hamster, ray, porcupine, shrew, turtle, mountain, spider, mushroom, cattle, sea, tank, bear, forest, beaver, willow_tree, pear, chimpanzee, girl, lion, apple, plate, road, palm_tree, caterpillar, bowl, mouse