This model is a finetuned version of the
DistilBERT base multilingual model modified for
token classification where the tokens are ASCII characters and the labels are Vietnamese characters. The code for building and training this model can be found
here.
The model is trained on the Vietnamese wikipedia data
here.
We encourage potential users of this model to check out the
BERT base multilingual model card to learn more about usage, limitations and potential biases.
You can use the raw model to restore diacritics for ASCII-ified Vietnamese text.
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 |
