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_0678)
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 | 0.0001 |
| LR Scheduler | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 678 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9748 |
| Val Accuracy | 0.8587 |
| Test Accuracy | 0.8522 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sunflower, crocodile, trout, baby, skyscraper, cockroach, tractor, bicycle, boy, sweet_pepper, plate, keyboard, bowl, porcupine, fox, shark, palm_tree, oak_tree, sea, lamp, forest, rocket, willow_tree, bear, bed, clock, telephone, turtle, streetcar, table, chimpanzee, dolphin, spider, rabbit, whale, snake, lizard, raccoon, motorcycle, beetle, couch, mouse, lion, apple, girl, maple_tree, tank, bridge, lobster, wolf