README.md

---
license: apache-2.0
datasets:
- Arailym-aitu/small_kazakh_corpus
language:
- kk
metrics:
- accuracy
- f1
base_model:
- nur-dev/roberta-kaz-large
new_version: nur-dev/roberta-kaz-large
pipeline_tag: text-classification
---
# Model Card for Model ID

This model is designed for text classification tasks in the Kazakh language, based on the RoBERTa architecture and fine-tuned using the Small Kazakh Corpus dataset.

## Model Details

### Model Description
The model aims to enhance natural language processing (NLP) capabilities for the Kazakh language, particularly in text classification tasks.

- **Developed by:** Tleubayeva Arailym, Tabuldin Aisultan, Aubakirov Sultan
- **Model type:** Transformer-based (RoBERTa)
- **Language(s) (NLP):** Kazakh (kk)
- **License:** apache-2.0
  
### Results

Evaluation results show an improvement in both accuracy and F1-score:

Base model performance:

Accuracy: 50.30%

F1-score: 48.89%

Fine-tuned model performance:

Accuracy: 55.51% (+10%)

F1-score: 54.83% (+5%)

## Citation 

We will definitely add a bit later.

## Model Card Authors 
Tleubayeva Arailym, PhD student of Astana IT University

Tabuldin Aisultan, 3rd year student of Astana IT University

Aubakirov Sultan, 3rd year student of Astana IT University