| # dv-wave | |
| This is my third version of a Dhivehi language model trained with | |
| Google Research's [ELECTRA](https://github.com/google-research/electra). | |
| Tokenization and pre-training CoLab: https://colab.research.google.com/drive/1ZJ3tU9MwyWj6UtQ-8G7QJKTn-hG1uQ9v?usp=sharing | |
| Using SimpleTransformers to classify news https://colab.research.google.com/drive/1KnyQxRNWG_yVwms_x9MUAqFQVeMecTV7?usp=sharing | |
| V1: similar performance to mBERT on news classification task after finetuning for 3 epochs (52%) | |
| V2: fixed tokenizers do_lower_case=False and strip_accents=False to preserve vowel signs of Dhivehi | |
| > 8-topic news classification score: 88.6% compared to mBERT: 51.8% | |
| V3: trained longer on larger corpus (added OSCAR and Wikipedia) | |
| > news classification score: 91.9% | |
| ## Corpus | |
| Trained on @Sofwath's 307MB corpus of Dhivehi text: https://github.com/Sofwath/DhivehiDatasets | |
| Plus [OSCAR](https://oscar-corpus.com/) and 2020-10-01 dump of dv.wikipedia.org | |
| ## Vocabulary | |
| Included as vocab.txt in the upload | |