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---
base_model: facebook/dino-vitb16
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
---
# Model-J: DINO Model (model_idx_0773)
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">
🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | 📃 <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | 💻 <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | 🤗 <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
</p>
## Model Details
| Attribute | Value |
|---|---|
| **Subset** | DINO |
| **Split** | train |
| **Base Model** | `facebook/dino-vitb16` |
| **Dataset** | CIFAR100 (50 classes) |
## Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | constant |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 773 |
| Random Crop | False |
| Random Flip | False |
## Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.3932 |
| Val Accuracy | 0.3469 |
| Test Accuracy | 0.3458 |
## Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
`camel`, `beaver`, `motorcycle`, `lobster`, `lion`, `shrew`, `orange`, `butterfly`, `snake`, `lizard`, `raccoon`, `cockroach`, `pear`, `apple`, `wolf`, `bus`, `lamp`, `clock`, `wardrobe`, `rocket`, `cattle`, `mountain`, `forest`, `dinosaur`, `elephant`, `skunk`, `maple_tree`, `boy`, `chair`, `girl`, `mushroom`, `dolphin`, `worm`, `snail`, `sunflower`, `otter`, `train`, `sea`, `shark`, `tank`, `bear`, `cup`, `plain`, `bee`, `palm_tree`, `baby`, `pickup_truck`, `woman`, `streetcar`, `whale`
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