Downloads ยท 30 days
7
9% of all-time downloads
ProbeX/Model-J__DINO__model_idx_0799
Model-J__DINO__model_idx_0799 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
7
9% of all-time downloads
All-time downloads
76
Public
Parameters
85.8M
343 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors343 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 | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 799 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9781 |
| Val Accuracy | 0.9139 |
| Test Accuracy | 0.9186 |
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, bridge, lamp, train, crocodile, camel, lizard, crab, spider, boy, possum, plain, fox, snail, bottle, couch, dolphin, willow_tree, shrew, skunk, television, flatfish, lion, bicycle, apple, lawn_mower, turtle, can, mountain, table, rose, poppy, lobster, tiger, cloud, mushroom, butterfly, plate, woman, tractor, pear, kangaroo, raccoon, whale, bee, orange, tank, orchid, cattle, snake