Downloads ยท 30 days
11
22% of all-time downloads
ProbeX/Model-J__DINO__model_idx_0996
Model-J__DINO__model_idx_0996 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
11
22% of all-time downloads
All-time downloads
49
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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 996 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9899 |
| Val Accuracy | 0.9192 |
| Test Accuracy | 0.9290 |
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, house, lizard, mountain, streetcar, crocodile, telephone, baby, rose, butterfly, cup, mushroom, whale, road, lawn_mower, skunk, squirrel, seal, tractor, lamp, train, fox, mouse, aquarium_fish, beetle, pear, beaver, bear, bowl, bottle, lobster, tank, bridge, couch, forest, bicycle, spider, snake, flatfish, can, plate, woman, cloud, wolf, motorcycle, sweet_pepper, dolphin, pickup_truck, palm_tree, possum