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_0935)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 935 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9873 |
| Val Accuracy | 0.9008 |
| Test Accuracy | 0.9054 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
trout, plain, aquarium_fish, motorcycle, turtle, possum, lamp, otter, orange, man, pear, palm_tree, tank, porcupine, maple_tree, flatfish, rabbit, camel, crocodile, dolphin, sea, plate, butterfly, girl, kangaroo, tractor, streetcar, pine_tree, cup, lobster, pickup_truck, bee, lawn_mower, raccoon, wardrobe, dinosaur, poppy, beaver, hamster, wolf, worm, apple, bus, whale, couch, bridge, squirrel, mountain, chimpanzee, lion