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_0598)
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 | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 598 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9824 |
| Val Accuracy | 0.8928 |
| Test Accuracy | 0.9004 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, baby, rocket, couch, house, porcupine, plate, table, lamp, bee, shark, beaver, hamster, can, pear, forest, apple, pickup_truck, rabbit, tank, telephone, lobster, sea, wardrobe, sweet_pepper, orchid, caterpillar, shrew, chimpanzee, snake, camel, tulip, bear, plain, television, road, castle, tiger, squirrel, elephant, palm_tree, bowl, mushroom, bed, cockroach, butterfly, dinosaur, orange, man, skunk