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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -29,7 +29,7 @@ pip install pandas singleton-decorator datasets "transformers<4.33.3" accelerate
## Preprocessing
Please refer to the notebook [preprocess.ipynb](https://github.com/yl4579/PL-BERT/blob/main/preprocess.ipynb) for more details. The preprocessing is for English Wikipedia dataset only. I will make a new branch for Japanese if I have extra time to demostrate training on other languages. You may also refer to [#6](https://github.com/yl4579/PL-BERT/issues/6#issuecomment-1797869275) for preprocessing in other languages like Japanese.

## Trianing
## Training
Please run each cell in the notebook [train.ipynb](https://github.com/yl4579/PL-BERT/blob/main/train.ipynb). You will need to change the line
`config_path = "Configs/config.yml"` in cell 2 if you wish to use a different config file. The training code is in Jupyter notebook primarily because the initial epxeriment was conducted in Jupyter notebook, but you can easily make it a Python script if you want to.

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