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_0862)
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 | constant |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 862 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9844 |
| Val Accuracy | 0.8704 |
| Test Accuracy | 0.8634 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bridge, streetcar, willow_tree, wardrobe, couch, apple, chair, butterfly, poppy, pickup_truck, ray, orchid, bus, lawn_mower, bed, kangaroo, cup, seal, skunk, shrew, television, house, plate, cloud, rabbit, pear, tractor, aquarium_fish, flatfish, fox, dinosaur, turtle, table, telephone, palm_tree, snail, forest, camel, elephant, cockroach, porcupine, chimpanzee, crocodile, baby, bicycle, beetle, maple_tree, oak_tree, road, leopard