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_0814)
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 | 0.0005 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 814 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8267 |
| Val Accuracy | 0.5728 |
| Test Accuracy | 0.5756 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cockroach, poppy, caterpillar, spider, rose, telephone, orange, girl, cup, shrew, elephant, camel, bridge, raccoon, tank, woman, dolphin, lizard, bear, crab, plain, leopard, crocodile, boy, dinosaur, bicycle, castle, skunk, table, baby, mouse, lamp, clock, tulip, worm, pickup_truck, cloud, porcupine, butterfly, sunflower, train, orchid, palm_tree, couch, keyboard, motorcycle, sea, road, beetle, lion