README.md

---
pipeline_tag: text-generation
tags:
- phi3
- LLM
library_name: transformers
---
# Phi 3 Model with Extended Vocabulary and Fine-Tuning for Japanese

## Overview

This project is a proof of concept that extends the base vocabulary of the Phi 3 model and then applies supervised fine-tuning to teach it a new language (Japanese). Despite using a very small custom dataset, the improvement in Japanese language understanding is substantial.

## Model Details

- **Base Model**: Phi 3
- **Objective**: Extend the base vocabulary and fine-tune for Japanese language understanding.
- **Dataset**: Custom dataset of 1,000 entries generated using ChatGPT-4.
- **Language**: Japanese

## Dataset

The dataset used for this project was generated with the assistance of ChatGPT-4. It comprises 1,000 entries, carefully curated to cover a diverse range of topics and linguistic structures.

## Training

### Vocabulary Extension

The base vocabulary of the Phi 3 model was extended to include new Japanese tokens. This was a crucial step to enable the model to comprehend and generate Japanese text more effectively.

### Fine-Tuning

Supervised fine-tuning was performed on the extended model using the custom dataset. Despite the small dataset size, the model showed significant improvement in understanding and generating Japanese text.

## Results

Even with the limited dataset and vocabulary size, the fine-tuned model demonstrated substantial improvements over the base model in terms of Japanese language understanding and generation.

## Future Work

1. **Dataset Expansion**: Increase the size and diversity of the dataset to further enhance model performance.
2. **Evaluation**: Conduct comprehensive evaluation and benchmarking against standard Japanese language tasks.
3. **Optimization**: Optimize the model for better performance and efficiency.