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ProbeX/Model-J__MAE__model_idx_0239
Model-J__MAE__model_idx_0239 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 | 0.0001 |
| LR Scheduler | constant |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 239 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9550 |
| Val Accuracy | 0.8347 |
| Test Accuracy | 0.8464 |
The model was fine-tuned on the following 50 CIFAR100 classes:
oak_tree, kangaroo, camel, orchid, hamster, sea, rabbit, chimpanzee, shark, shrew, television, snail, wardrobe, apple, mushroom, bee, bed, train, wolf, chair, tulip, maple_tree, fox, mouse, squirrel, otter, crab, trout, turtle, woman, castle, bear, bowl, crocodile, plate, beaver, caterpillar, tractor, bicycle, cup, orange, man, seal, road, rose, poppy, pickup_truck, cockroach, bottle, lawn_mower