Source Code Documentation

This directory contains the core implementation of the Custom Language Model training pipeline.

📁 Directory Structure

1. fine_tune.py

Main fine-tuning script that orchestrates the training process.

• prepare_model_and_tokenizer(): Initializes model and tokenizer
• load_and_process_dataset(): Handles dataset preparation
• train_model(): Manages the training process
• fine_tune(): Main entry point for fine-tuning

2. main.py

Entry point of the application that coordinates:

• Model fine-tuning
• Model saving
• Hugging Face Hub upload

3. /huggingface

Utilities for Hugging Face integration:

• upload.py: Handles model upload to Hugging Face Hub

4. /model

Model-related implementations:

• build_model.py: Custom transformer model architecture
• save_model.py: Model and tokenizer saving utilities

5. /training

Training-related utilities:

• dataset_preparation.py: Dataset loading and processing
• trainer.py: Training configuration