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ProbeX/Model-J__MAE__model_idx_0303
Model-J__MAE__model_idx_0303 is a image classification model from ProbeX. Use it when you need a label for an image. It is set up for transformers.
This model is part of the Model-J dataset, introduced in:
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From the Hugging Face model README
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>
| Attribute | Value |
|---|---|
| Subset | MAE |
| Split | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 303 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.8320 |
| Test Accuracy | 0.8238 |
The model was fine-tuned on the following 50 CIFAR100 classes:
wolf, crocodile, kangaroo, snake, mouse, whale, television, streetcar, motorcycle, castle, lamp, porcupine, chair, camel, skunk, can, bicycle, palm_tree, man, seal, bee, bottle, train, crab, tiger, poppy, plain, orange, possum, pine_tree, wardrobe, bus, boy, orchid, girl, couch, baby, trout, tank, tulip, hamster, otter, leopard, butterfly, forest, apple, plate, telephone, shrew, aquarium_fish