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_0106)
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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 106 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9889 |
| Val Accuracy | 0.9101 |
| Test Accuracy | 0.8970 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
plate, snake, train, telephone, cattle, beetle, table, snail, sweet_pepper, lawn_mower, mushroom, shrew, wolf, tractor, lamp, rose, baby, hamster, clock, porcupine, cockroach, flatfish, cup, streetcar, lizard, forest, mountain, orange, girl, beaver, camel, turtle, lion, wardrobe, butterfly, raccoon, maple_tree, bed, motorcycle, keyboard, chimpanzee, skyscraper, pear, bee, kangaroo, house, tiger, pickup_truck, palm_tree, shark