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_0455)
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 | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 455 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9899 |
| Val Accuracy | 0.8835 |
| Test Accuracy | 0.8828 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pear, whale, camel, orange, woman, cockroach, keyboard, possum, bridge, fox, apple, caterpillar, orchid, train, worm, tiger, palm_tree, raccoon, boy, house, couch, sea, wardrobe, bee, otter, oak_tree, skunk, crocodile, sunflower, crab, seal, shark, rocket, pine_tree, mushroom, beaver, clock, bear, lion, lizard, television, cattle, rose, leopard, mouse, girl, flatfish, squirrel, hamster, dolphin