Welcome to the GPT Transformer Language Model repository! This project implements a language model inspired by the Transformer architecture, aiming to generate coherent and contextually relevant text sequences using PyTorch.
This repository encompasses the development of a GPT-style language model, focusing on the following key aspects:
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Model Architecture: Implementation of a language model architecture based on the Transformer framework, incorporating token embeddings, positional encodings, multi-head self-attention mechanisms, and feedforward layers.
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Training and Optimization: Efficient training loops utilizing PyTorch's capabilities and optimizing the model's learning process using the AdamW optimiser.
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Hyperparameter Exploration: Experimentation with hyperparameters such as embedding sizes, attention head counts, and learning rates to enhance the model's performance.
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Text Generation: Application of the trained model to generate fluent and coherent text sequences based on provided seed text.
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Transformer-Based Model: PyTorch-based implementation of a GPT-style language model inspired by the Transformer architecture.
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Training Loop: Efficient training procedures leveraging PyTorch's capabilities for neural network training and optimisation.
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Hyperparameter Tuning: Exploration and fine-tuning of hyperparameters to enhance the model's performance in text generation tasks.
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Text Generation Functionality: Demonstration of the model's ability to generate contextually relevant text based on learned patterns.
To run and explore the code:
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Clone the repository:
git clone https://github.com/your-username/gpt-dev.git cd gpt-dev -
Set up your Python environment and install dependencies:
pip install -r requirements.txt
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Execute the training script:
python train.py
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Generate text sequences:
python generate_text.py
Contributions to the project are encouraged! Feel free to submit issues or pull requests to improve the model or add new features.
This project draws inspiration from seminal works on Transformer architectures in natural language processing and deep learning.
This project is licensed under the MIT License.
Please make sure to replace your-username with your actual GitHub username and customize any other sections or details to match the specifics of your GPT-style language model project under the "gpt-dev" repository. Readme file created with the help of ChatGPT.