Downloads ยท 30 days
16
9% of all-time downloads
ProbeX/Model-J__ResNet__model_idx_0543
Model-J__ResNet__model_idx_0543 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:
Downloads ยท 30 days
16
9% of all-time downloads
All-time downloads
188
Public
Parameters
42.7M
171 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors171 MB ยท 100%
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 | 5e-05 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 543 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.8514 |
| Val Accuracy | 0.8099 |
| Test Accuracy | 0.8132 |
The model was fine-tuned on the following 50 CIFAR100 classes:
crab, willow_tree, telephone, bear, lawn_mower, oak_tree, train, tank, spider, tulip, caterpillar, bowl, rose, cloud, dinosaur, cattle, cup, fox, boy, bicycle, baby, bee, wolf, poppy, hamster, snake, porcupine, apple, rocket, can, elephant, otter, lizard, chimpanzee, forest, rabbit, orchid, worm, pear, plain, kangaroo, tractor, bridge, man, orange, girl, couch, dolphin, television, camel