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_0081)
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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 81 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8671 |
| Val Accuracy | 0.8285 |
| Test Accuracy | 0.8214 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sea, mushroom, table, palm_tree, beaver, squirrel, boy, chimpanzee, ray, porcupine, rocket, couch, wardrobe, snake, television, road, can, mountain, beetle, lobster, skyscraper, elephant, tractor, woman, snail, trout, bowl, shrew, cup, dolphin, sweet_pepper, camel, rose, pickup_truck, caterpillar, leopard, kangaroo, plain, lawn_mower, sunflower, turtle, tulip, orange, seal, hamster, motorcycle, crocodile, fox, spider, dinosaur