readme: ---
  language: "ar"
  tags:
  - text-generation
  datasets:
  - Arabic poetry from several eras
  ---
  
  # GPT2-Small-Arabic-Poetry
  
  ## Model description
  
  Fine-tuned model of Arabic poetry dataset based on gpt2-small-arabic.
  
  ## Intended uses & limitations
  
  #### How to use
  
  An example is provided in this [colab notebook](https://colab.research.google.com/drive/1mRl7c-5v-Klx27EEAEOAbrfkustL4g7a?usp=sharing).
  
  #### Limitations and bias
  
  Both the GPT2-small-arabic (trained on Arabic Wikipedia) and this model have several limitations in terms of coverage and training performance. 
  Use them as demonstrations or proof of concepts but not as production code.
  
  ## Training data
  
  This pretrained model used the [Arabic Poetry dataset](https://www.kaggle.com/ahmedabelal/arabic-poetry) from 9 different eras with a total of around 40k poems. 
  The dataset was trained (fine-tuned) based on the [gpt2-small-arabic](https://huggingface.co/akhooli/gpt2-small-arabic) transformer model.
  
  ## Training procedure
  
  Training was done using [Simple Transformers](https://github.com/ThilinaRajapakse/simpletransformers) library on Kaggle, using free GPU.
  
  ## Eval results 
  Final perplexity reached ws 76.3, loss: 4.33
  
  ### BibTeX entry and citation info
  
  ```bibtex
  @inproceedings{Abed Khooli,
    year={2020}
  }
  ```
  