This is the second version of a Tamil language model trained with Google Research's ELECTRA.

Tokenization and pre-training CoLab: https://colab.research.google.com/drive/1Pwia5HJIb6Ad4Hvbx5f-IjND-vCaJzSE?usp=sharing

V1: small model with GPU; 190,000 steps;

V2 (current): base model with TPU and larger corpus; 224,000 steps


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: 75.1%)

The model slightly outperformed mBERT on movie reviews: (RMSE - mBERT: 0.657, TaMillion: 0.626)

Equivalent accuracy on the Tirukkural topic task.

Question Answering

I didn't find a Tamil-language question answering dataset, but this model could be finetuned to train a QA model. See Hindi and Bengali examples here: https://colab.research.google.com/drive/1i6fidh2tItf_-IDkljMuaIGmEU6HT2Ar


Trained on IndicCorp Tamil (11GB) https://indicnlp.ai4bharat.org/corpora/ and 1 October 2020 dump of https://ta.wikipedia.org (482MB)


Included as vocab.txt in the upload

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