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ProbeX/Model-J__DINO__model_idx_0432
Model-J__DINO__model_idx_0432 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 | DINO |
| Split | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | constant |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 432 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9717 |
| Val Accuracy | 0.8712 |
| Test Accuracy | 0.8778 |
The model was fine-tuned on the following 50 CIFAR100 classes:
television, snail, lion, orange, boy, road, lobster, bear, sea, bottle, turtle, maple_tree, lamp, girl, orchid, plain, wolf, hamster, oak_tree, can, mountain, lizard, rocket, dolphin, willow_tree, seal, motorcycle, rabbit, shark, bowl, bridge, sunflower, snake, otter, spider, man, streetcar, fox, couch, castle, pickup_truck, mushroom, forest, cup, cattle, tractor, sweet_pepper, bed, beetle, mouse