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README.md
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---
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license: apache-2.0
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language:
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- en
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---
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# Model Description
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The LeNNon_smile_detector model is used to ...
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The model was trained with CelebA dataset.
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## Details
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- Dataset: [CelebFaces Attributes]((https://www.kaggle.com/datasets/jessicali9530/celeba-dataset/))
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- Language: English
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- Number of Training Steps: 20
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- Batch size: 32
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- Optimizer: Adam
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- Learning Rate: 0.001
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- GPU: T4
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- This repository has the source [code used](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Fairness/fair_metrics_celeba.ipynb) to train this model.
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## Performance
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Final Validation Accuracy: 90.56% Final Validation Loss: 0.6397
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# Cite as 🤗
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```
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@misc{teenytinycastle,
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doi = {10.5281/zenodo.7112065},
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url = {https://huggingface.co/AiresPucrs/LeNNon_smile_detector},
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author = {Nicholas Kluge Corr{\^e}a},
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title = {Teeny-Tiny Castle},
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year = {2023},
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publisher = {HuggingFace},
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journal = {HuggingFace repository},
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}
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```
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## License
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The LeNNon_smile_detector model is licensed under the Apache License, Version 2.0. See the LICENSE file for more details.
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