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_0145)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 145 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.8989 |
| Test Accuracy | 0.9044 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
willow_tree, woman, sweet_pepper, train, oak_tree, ray, wardrobe, shark, snake, aquarium_fish, snail, sea, clock, tulip, streetcar, lion, butterfly, seal, bus, skyscraper, possum, lawn_mower, cloud, cup, couch, otter, rabbit, hamster, lizard, tiger, pickup_truck, dolphin, house, bowl, rocket, boy, rose, beaver, castle, orchid, bear, squirrel, caterpillar, palm_tree, chimpanzee, mountain, tank, camel, bed, motorcycle