| # TaMillion | |
| This is a first attempt at a Tamil 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/1GngBFn_Ge5Hd2XI2febBhZyU7GDiqw5w | |
| V2 (current): 190,000 steps | |
| V1: 100,000 steps; | |
| ## Usage | |
| Sudalai Rajkumar's Tamil-NLP page contains classification and regression tasks: | |
| https://www.kaggle.com/sudalairajkumar/tamil-nlp | |
| Notebook: https://colab.research.google.com/drive/1_rW9HZb6G87-5DraxHvhPOzGmSMUc67_?usp=sharin | |
| The model outperformed mBERT on news classification: | |
| (Random: 16.7%, mBERT: 53.0%, TaMillion: 68.2%) | |
| The model slightly outperformed mBERT on movie reviews: | |
| (RMSE - mBERT: 0.657, TaMillion: 0.626) | |
| Equivalent accuracy on the Tirukkural topic task. | |
| ## Corpus | |
| Trained on a web crawl from https://oscar-corpus.com/ (deduped version, 5.1GB) and 1 July 2020 dump of ta.wikipedia.org (476MB) | |
| ## Vocabulary | |
| Included as vocab.txt in the upload - vocab_size is 40161 | |