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Applied Deep Learning (ADL) - NTU 2023 Fall

This repository contains the homework assignments and final project for the Applied Deep Learning (ADL) course at National Taiwan University (NTU) in the Fall of 2023.

Repository Structure

The repository is organized into four main directories:

  • hw1/
  • hw2/
  • hw3/
  • Final_Project/

Directory Breakdown

1. hw1

Task: Paragraph and Span Selection

This assignment focuses on implementing two distinct models:

  • Paragraph Selection Model: Given a Chinese question and four Chinese paragraphs, the model identifies the paragraph most relevant to the question.
  • Span Selection Model: After selecting the relevant paragraph, this model extracts the precise answer span from the chosen paragraph.

Key Concepts: Text classification, Span extraction, Chinese Natural Language Processing (NLP).

2. hw2

Task: Fine-tuning mT5 for Title Generation

In this assignment, we fine-tune a pre-trained Multilingual Text-to-Text Transfer Transformer (mT5) to generate appropriate titles for given paragraphs. The model performance is evaluated using the Rouge score, a standard metric for sequence generation tasks.

Key Concepts: mT5, Sequence generation, Rouge score, NLP in multiple languages.

3. hw3

Task: Instruction-tuning Taiwan LlaMa Model

This assignment involves instruction-tuning a Taiwan LlaMa Model for a language translation task. The model is trained to either:

  • Translate plain Chinese into classical Chinese, or
  • Translate classical Chinese into plain Chinese.

Performance is evaluated using the Perplexity metric.

Key Concepts: Instruction-tuning, Language translation, Classical Chinese NLP.

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This is the github repo for my ADL homeworks.

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