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ProbeX/Model-J__MAE__model_idx_0481
Model-J__MAE__model_idx_0481 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"> ๐ <a href="https://horwitz.ai/probex" target="_blank">Project</a> | ๐ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | ๐ป <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | ๐ค <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a> </p>
| Attribute | Value |
|---|---|
| Subset | MAE |
| Split | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | constant |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 481 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5780 |
| Val Accuracy | 0.4869 |
| Test Accuracy | 0.4728 |
The model was fine-tuned on the following 50 CIFAR100 classes:
poppy, lamp, otter, worm, leopard, chair, snake, sweet_pepper, pickup_truck, bed, crab, beaver, shrew, mountain, plate, apple, caterpillar, bowl, cattle, skunk, tulip, skyscraper, mouse, train, camel, maple_tree, beetle, rabbit, motorcycle, willow_tree, porcupine, bottle, wolf, bicycle, pear, spider, tank, shark, hamster, girl, clock, butterfly, lizard, television, whale, turtle, telephone, man, boy, wardrobe