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ProbeX/Model-J__MAE__model_idx_0600
Model-J__MAE__model_idx_0600 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 | val |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 600 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9634 |
| Val Accuracy | 0.8952 |
| Test Accuracy | 0.8850 |
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, maple_tree, sweet_pepper, train, butterfly, skyscraper, chimpanzee, otter, shark, house, turtle, bear, raccoon, sea, chair, man, dinosaur, pickup_truck, cockroach, crocodile, cup, tank, snake, wardrobe, streetcar, motorcycle, beetle, bottle, pear, rabbit, palm_tree, plain, poppy, can, crab, beaver, oak_tree, lizard, bicycle, kangaroo, squirrel, fox, flatfish, bed, worm, cattle, rocket, road, skunk, pine_tree