alegant 1.0.4

Alegant: a elegant training framework

Alegant

Alegant is an elegant training framework for PyTorch models.

Install Alegant

Before installing Alegant, please make sure you have the following requirements:

• Python >= 3.7
• torch >= 1.9

Simple installation from PyPI

pip install alegant

To install fairseq and develop locally:

python setup.py develop

Usage

To use alegant, follow the steps below:

1. Define your Model.
2. Define your DataModule.
3. Define your Trainer.
4. Run the training script using the following command:

python --config_file run.py

Make sure to replace config_file with the path to your configuration file.

Configuration

To customize the training process, you need to provide a configuration file. This file specifies various parameters such as dataset paths, model architecture, hyperparameters, etc. Make sure to create a valid configuration file before running the framework.

Project Structure

alegant
├── tensorboard
├── data
├── alegant
│   ├── data_module.py
│   ├── trainer.py
│   └── utils.py
├── src
│   ├── dataset.py
│   ├── loss.py
│   ├── model
│   │   ├── modeling.py
│   │   ├── poolers.py
│   ├── trainer.py
│   └── utils.py
├── config.yaml
├── run.py
└── setup.py

Contact

If you have any questions or inquiries, please contact us at [e-mail]

Thank you for using Alegant! Happy training!