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ProbeX/Model-J__MAE__model_idx_0632
Model-J__MAE__model_idx_0632 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 | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 632 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.3191 |
| Val Accuracy | 0.2960 |
| Test Accuracy | 0.3014 |
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, hamster, rabbit, bicycle, aquarium_fish, tulip, spider, pickup_truck, beaver, lizard, couch, road, clock, plate, television, possum, lamp, crab, cup, boy, bowl, girl, snake, poppy, porcupine, whale, otter, forest, trout, bed, rocket, ray, beetle, motorcycle, train, apple, cloud, pine_tree, squirrel, bottle, sea, worm, caterpillar, lobster, camel, fox, leopard, oak_tree, palm_tree, tractor