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_0374)
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 | cosine |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 374 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9498 |
| Val Accuracy | 0.8843 |
| Test Accuracy | 0.8838 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
house, orchid, tank, streetcar, worm, lawn_mower, bus, apple, fox, mouse, otter, caterpillar, wolf, bottle, snail, bridge, chair, tulip, orange, plate, woman, kangaroo, bed, shark, squirrel, train, table, man, ray, spider, leopard, skyscraper, beetle, willow_tree, beaver, palm_tree, camel, cockroach, sea, butterfly, maple_tree, sunflower, boy, tiger, cattle, pickup_truck, elephant, turtle, mountain, clock