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_0441)
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 | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 441 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9273 |
| Val Accuracy | 0.8875 |
| Test Accuracy | 0.8798 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
castle, flatfish, crab, television, cockroach, mushroom, keyboard, cup, crocodile, trout, orange, bridge, caterpillar, streetcar, shark, mountain, sunflower, worm, tiger, cloud, bee, palm_tree, plate, telephone, table, motorcycle, raccoon, oak_tree, chair, beetle, rocket, bed, train, butterfly, maple_tree, lobster, otter, pickup_truck, woman, fox, bicycle, hamster, ray, spider, possum, elephant, pear, chimpanzee, cattle, tank