Model Trainer

Project MLOps for Orthographic Correction - SpellX

Version: v1.0.3

Release: Model Training

Features Added

• Model Training Module
  • Utilized the powerful Spello library for orthographic correction.
  • Trained a state-of-the-art model using high-quality labeled training data.
  • Implemented data preprocessing techniques to enhance model performance.

Data Preparation

• Carefully curated and validated training data to ensure its quality and correctness.
• Organized data into separate train, validation, and test sets within the data directory.

Model Training Details

• Leveraged Spello for training a robust orthographic correction model.
• Applied advanced machine learning techniques to improve model accuracy.
• Conducted extensive experimentation and fine-tuning to achieve superior results.

Version Control

• Maintained meticulous version information for both the training data and the trained model.
• Ensured traceability and reproducibility of the model training process.

Upcoming Enhancements

Future releases will continue to enhance the project's capabilities, including:

• Advanced data preprocessing techniques.
• Automated model training pipelines.
• Deployment and integration with real-time applications.
• Continuous improvement in model accuracy and performance.

Feedback

We value your feedback and suggestions as we strive to make our orthographic correction project even more effective and efficient. Please share your thoughts and insights to help us enhance our project further.

Stay tuned for further updates!