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_0205)
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 | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 205 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9938 |
| Val Accuracy | 0.9181 |
| Test Accuracy | 0.9142 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, seal, leopard, mountain, caterpillar, castle, otter, camel, fox, bridge, lamp, road, worm, keyboard, clock, mushroom, bee, flatfish, maple_tree, television, pear, wardrobe, woman, sunflower, cloud, elephant, skunk, palm_tree, skyscraper, tractor, plain, beetle, lawn_mower, hamster, dinosaur, snake, lizard, apple, tulip, pine_tree, baby, telephone, dolphin, chair, table, orchid, bowl, squirrel, tiger, cup