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ProbeX/Model-J__ResNet__model_idx_0214
Model-J__ResNet__model_idx_0214 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 | ResNet |
| Split | train |
| Base Model | microsoft/resnet-101 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 214 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9840 |
| Val Accuracy | 0.8848 |
| Test Accuracy | 0.8788 |
The model was fine-tuned on the following 50 CIFAR100 classes:
snake, chair, rose, cup, apple, wolf, train, elephant, pine_tree, snail, tractor, fox, skunk, boy, butterfly, spider, dolphin, aquarium_fish, shark, kangaroo, poppy, beaver, house, chimpanzee, dinosaur, bowl, pear, bicycle, mushroom, cloud, otter, road, forest, lobster, tulip, tiger, wardrobe, rabbit, flatfish, camel, woman, cattle, man, whale, mouse, palm_tree, sunflower, leopard, trout, orchid