Kundyzka/t5-kazakh-qa-informatics-kaz

Description

This model was developed by Kundyz Maksutova, PhD Candidate, as part of research on improving question-answering systems in the Kazakh language. It is a fine-tuned version of Kyrmasch/t5-kazakh-qa on the Kundyzka/informatics_kaz dataset. The model is specifically optimized for question-answering tasks in Kazakh, focusing on the domain of computer science and related fields.

Key Features:

• Developer: Kundyz Maksutova, PhD Candidate
• Base Model: Kyrmasch/t5-kazakh-qa
• Dataset: Kundyzka/informatics_kaz
• Language: Kazakh (kk)
• Task: Question Answering

Performance:

This model demonstrates significant improvements after fine-tuning, as shown by the following metrics:

• Before Training:
  • F1 Score: 31.405
  • Exact Match (EM): 14.675
• After Training:
  • F1 Score: 56.819
  • Exact Match (EM): 35.454

These metrics highlight the enhanced ability of the model to handle domain-specific questions after training on the Kundyzka/informatics_kaz dataset.

Dataset:

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

Intended Use:

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

• Educational Platforms: Supporting students in learning computer science.
• Research Projects: Facilitating studies in Kazakh natural language processing.
• Applications: Powering intelligent systems like chatbots or question-answering assistants.

Limitations and Ethical Considerations:

• Domain-Specific Bias: Performance may drop on topics outside computer science.
• Dataset Bias: Potential biases from the dataset can influence model outputs.
• Language Support: The model is optimized for Kazakh and does not support other languages.

Tags:

• computerscience
• question-answering
• Kazakh

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