Kundyzka/XLM-Roberta-large-informatics-kaz

Description

This model was developed by Kundyz Maksutova, PhD Candidate, as part of research on question-answering systems in the Kazakh language. It is a fine-tuned version of FacebookAI/xlm-roberta-large on the Kundyzka/informatics_kaz dataset, specifically optimized for handling questions in the domain of computer science.

Key Features:

• Base Model: FacebookAI/xlm-roberta-large
• Dataset: Kundyzka/informatics_kaz
• Language: Kazakh (kk)
• Task: Question Answering
• Performance:
  • Before Training:
    • F1 Score: 26.950
    • Exact Match: 13.116
  • After Training:
    • F1 Score: 70.127
    • Exact Match: 49.740

Dataset:

The Kundyzka/informatics_kaz dataset is designed to provide a diverse set of questions and answers in Kazakh, specifically covering topics in computer science. This dataset ensures that the model effectively handles domain-specific queries and terminology.

Intended Use:

This model is intended for answering questions in the Kazakh language, with potential applications in:

• Educational Platforms: Assisting students with computer science-related questions.
• Research Projects: Supporting the study and development of Kazakh natural language processing tools.
• AI Applications: Enhancing chatbots or intelligent systems requiring domain-specific question-answering capabilities.

Limitations and Ethical Considerations:

• Domain-Specific Bias: The model performs best on computer science queries and may not generalize well to other domains.
• Dataset Bias: The dataset may introduce biases that affect model predictions.
• Language Support: The model is optimized for Kazakh and does not handle other languages.

Tags:

• computerscience
• question-answering
• Kazakh

This model represents a significant contribution to improving natural language processing tools for low-resource languages like Kazakh. For further details or customization, refer to the model repository.