Text-Summarization-with-BERT

This project aims to learn transfer learning and fine tuning using BERT for Text Summarization case. The dataset used consists of ~190k rows, ~10k rows, ~10k rows for train, dev, and test respectively.

Detail Files

• text_summarization_BERT_fine_tune_clean.ipynb: Notebook Jupyter yang berisi EDA, Data Cleaning, Transfer Learning dan Fine-Tuning.
• text_summarization_BERT_ROUGE.ipynb: Notebook Jupyter yang berisi evaluasi model dengan ROUGE.
• Liputan 6 Text Summarization.pdf: Final Powerpoint terkait ringkasan dari keseluruhan proses serta hasil.
• README.md: file yang berisi deskripsi proyek dan dokumentasi singkat.