readme: ---
  license: cc-by-nc-4.0
  ---
  ## Model Description
  
  This model is a finetuned version of the [DistilBERT base multilingual model](https://huggingface.co/distilbert-base-multilingual-cased/) modified for [token classification](https://huggingface.co/transformers/v3.0.2/model_doc/distilbert.html#distilbertfortokenclassification) where the tokens are ASCII characters and the labels are Vietnamese characters. The code for building and training this model can be found [here](https://github.com/saeliddp/DRST).
  
  The model is trained on the Vietnamese wikipedia data [here](http://hdl.handle.net/11234/1-2607).
  
  We encourage potential users of this model to check out the [BERT base multilingual model card](https://huggingface.co/bert-base-multilingual-cased) to learn more about usage, limitations and potential biases.
  
  - **Developed by:** Daniel Saelid, Sachin Kumar, Yulia Tsvetkov
  - **Model type:** Transformer-based language model
  - **Related Models:** [DistilBERT base multilingual model](https://huggingface.co/distilbert-base-multilingual-cased/), [BERT base multilingual model](https://huggingface.co/bert-base-multilingual-cased)
  - **Resources for more information:** 
    - [Associated Paper](tbd)
  
  ## Direct Use
  You can use the raw model to restore diacritics for ASCII-ified Vietnamese text.
  
  # Evaluation
  
  The model developers report the following accuracies for restoring diacritics on ASCII-ified Vietnamese text. All metrics only consider syllables that contain just alphabetic characters.
  
  | Character Accuracy | Syllable Accuracy | Sentence Accuracy |
  | 98.75              | 96.10             | 50.26             |
  
  