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Create README.md
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Create README.md
--- language: ms tags: - melayu-bert license: mit datasets: - oscar widget: - text: "Saya [MASK] makan nasi hari ini." --- ## Melayu BERT Melayu BERT is a masked language model based on [BERT](https://arxiv.org/pdf/1810.04805.pdf). It was trained on the [OSCAR](https://huggingface.co/datasets/oscar) dataset, specifically the `unshuffled_original_ms` subset. The model used was [English BERT model](https://huggingface.co/bert-base-uncased) and fine-tuned on the Malaysian dataset. The model achieved a perplexity of 9.46 on a 20% validation dataset. Many of the techniques used are based on a Hugging Face tutorial [notebook](https://github.com/huggingface/notebooks/blob/master/examples/language_modeling.ipynb) written by [Sylvain Gugger](https://github.com/sgugger), and [fine-tuning tutorial notebook](https://github.com/piegu/fastai-projects/blob/master/finetuning-English-GPT2-any-language-Portuguese-HuggingFace-fastaiv2.ipynb) written by [Pierre Guillou](https://huggingface.…d946185
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Initial commit; Malaysian Language Model, transfer learned from english BERT
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initial commit
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