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ProbeX/Model-J__MAE__model_idx_0734
Model-J__MAE__model_idx_0734 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 | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 734 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9942 |
| Val Accuracy | 0.8971 |
| Test Accuracy | 0.8952 |
The model was fine-tuned on the following 50 CIFAR100 classes:
porcupine, rabbit, pear, chair, worm, can, bee, dinosaur, tulip, house, sea, skyscraper, skunk, ray, sunflower, table, shrew, rocket, woman, seal, sweet_pepper, plate, poppy, lawn_mower, tiger, caterpillar, mushroom, keyboard, bed, orange, possum, aquarium_fish, wardrobe, shark, couch, bridge, boy, tank, man, otter, tractor, cup, beetle, rose, bicycle, crocodile, bowl, bus, pickup_truck, lamp