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--- |
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language: "ar" |
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tags: |
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- text-generation |
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datasets: |
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- APCD |
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widget: |
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- text: "." |
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- text: "عيد بأية حال" |
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- text: "يا قدس" |
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- text: "يا قدس" |
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- text: "ألا ليت" |
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--- |
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# GPT2-Arabic-Poetry-2023 |
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## Model description |
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Fine-tuned model of Arabic poetry dataset based on aragpt2-medium. |
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## Intended uses & limitations |
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#### How to use |
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An example is provided in this [colab notebook](todo). |
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#### Limitations and bias |
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Both the GPT2-small-arabic (trained on Arabic Wikipedia) and this model have several limitations in terms of coverage and training performance. |
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Use them as demonstrations or proof of concepts but not as production code. |
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## Training data |
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This pretrained model used the [dataset](todo) from several eras with a total of around 1.4m lines. |
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The dataset was trained (fine-tuned) based on the [aragpt2-medium](https://huggingface.co./aubmindlab/aragpt2-medium) transformer model. |
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## Training procedure |
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Training was done using [Simple Transformers](https://github.com/ThilinaRajapakse/simpletransformers) library on Colab, using free GPU. |
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## Eval results |
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Final perplexity reached was 49.56, train loss: 3.336 |
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### BibTeX entry and citation info |
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```bibtex |
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@inproceedings{Abed Khooli, |
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year={2023} |
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} |
