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---
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_0950)
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
<p align="center">
🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | 📃 <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | 💻 <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | 🤗 <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
</p>
## 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 | linear |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 950 |
| Random Crop | False |
| Random Flip | True |
## Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9240 |
| Val Accuracy | 0.8608 |
| Test Accuracy | 0.8714 |
## Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
`skunk`, `rose`, `can`, `man`, `caterpillar`, `streetcar`, `wolf`, `sunflower`, `plain`, `forest`, `tank`, `cockroach`, `trout`, `camel`, `castle`, `bridge`, `lobster`, `road`, `orange`, `porcupine`, `house`, `spider`, `bear`, `beaver`, `lawn_mower`, `snail`, `boy`, `chair`, `mushroom`, `crab`, `wardrobe`, `seal`, `motorcycle`, `lizard`, `lion`, `willow_tree`, `cloud`, `girl`, `shark`, `pickup_truck`, `couch`, `whale`, `kangaroo`, `poppy`, `pear`, `dolphin`, `raccoon`, `woman`, `bowl`, `cup`
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