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ProbeX/Model-J__MAE__model_idx_0870
Model-J__MAE__model_idx_0870 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 | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 870 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9906 |
| Val Accuracy | 0.9128 |
| Test Accuracy | 0.9176 |
The model was fine-tuned on the following 50 CIFAR100 classes:
willow_tree, worm, cockroach, orange, snake, keyboard, elephant, train, chair, raccoon, bed, cloud, snail, lamp, skyscraper, mushroom, house, tank, forest, aquarium_fish, whale, motorcycle, sea, wolf, sweet_pepper, lawn_mower, bear, bicycle, dinosaur, beetle, wardrobe, clock, maple_tree, tiger, camel, lion, sunflower, kangaroo, turtle, pickup_truck, crab, castle, crocodile, palm_tree, apple, poppy, woman, seal, plain, beaver