---
license: apache-2.0
datasets:
- Kundyzka/informatics_kaz
language:
- kk
metrics:
  - name: F1 (Before Training)
    type: F1 Score
    value: 24.586
  - name: Exact Match (Before Training)
    type: Exact Match
    value: 11.818
  - name: F1 (After Training)
    type: F1 Score
    value: 63.317
  - name: Exact Match (After Training)
    type: Exact Match
    value: 43.162
base_model:
- google-bert/bert-base-multilingual-cased
new_version: Kundyzka/bert-base-multilingual-informatics-kaz
pipeline_tag: question-answering
library_name: adapter-transformers
tags:
- computerscience
- informatics
---

# Description

This model is a fine-tuned version of `google-bert/bert-base-multilingual-cased` using the `Kundyzka/informatics_kaz` dataset. Developed by **Kundyz Maksutova**, PhD Candidate, this model is specifically optimized for question-answering tasks in the Kazakh language, with a focus on computer science and informatics.

### Key Features:
- **Developer**: Kundyz Maksutova, PhD Candidate
- **Base Model**: `google-bert/bert-base-multilingual-cased`
- **Dataset**: `Kundyzka/informatics_kaz`
- **Language**: Kazakh (`kk`)
- **Task**: Question Answering (`pipeline_tag: question-answering`)
- **Library**: `adapter-transformers`

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

- **Before Training**:
  - F1 Score: 24.586
  - Exact Match (EM): 11.818
- **After Training**:
  - F1 Score: 63.317
  - Exact Match (EM): 43.162

These metrics were evaluated on the `Kundyzka/informatics_kaz` dataset, indicating a substantial enhancement in the model’s ability to handle domain-specific questions.

### Intended Use:
This model is intended for question-answering applications in the Kazakh language. Potential use cases include:
- **Educational Platforms**: Assisting students with queries in informatics and computer science.
- **Research Projects**: Supporting research in Kazakh natural language processing.
- **AI Applications**: Enhancing intelligent systems, chatbots, or virtual assistants requiring Kazakh language support.

### Limitations:
- **Domain-Specific Training**: The model is optimized for informatics and computer science topics, and performance may degrade on unrelated queries.
- **Language Support**: The model supports only the Kazakh language and does not handle multilingual tasks.
- **Bias**: Potential biases in the dataset may influence model outputs.

### Tags:
- `computerscience`
- `informatics`
- `question-answering`
- `Kazakh`
- `adapter-transformers`

This model is a step forward in enabling high-quality question-answering systems for low-resource languages like Kazakh. For further details, customization, or fine-tuning, refer to the model repository.