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ProbeX/Model-J__MAE__model_idx_0348
Model-J__MAE__model_idx_0348 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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 348 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9802 |
| Val Accuracy | 0.8963 |
| Test Accuracy | 0.8982 |
The model was fine-tuned on the following 50 CIFAR100 classes:
forest, sea, dinosaur, clock, couch, cup, worm, pickup_truck, porcupine, can, lamp, train, bridge, bottle, spider, whale, oak_tree, aquarium_fish, orange, flatfish, pear, tank, crab, elephant, beetle, cloud, rabbit, orchid, raccoon, willow_tree, lion, squirrel, mountain, apple, possum, woman, tulip, road, turtle, motorcycle, cattle, plate, trout, butterfly, fox, skyscraper, pine_tree, otter, mouse, bed