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_0945)
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 | 7e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 945 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9837 |
| Val Accuracy | 0.8768 |
| Test Accuracy | 0.8684 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
porcupine, plain, road, fox, boy, lion, sea, pine_tree, camel, house, orange, turtle, television, mushroom, whale, girl, tulip, tank, bicycle, telephone, man, beaver, sunflower, mountain, oak_tree, snail, rose, bowl, otter, raccoon, motorcycle, shark, skyscraper, bottle, kangaroo, mouse, rocket, cockroach, rabbit, lawn_mower, trout, bed, pickup_truck, keyboard, cattle, crocodile, bee, seal, aquarium_fish, lizard