metadata
datasets:
- Kundyzka/informatics_kaz
language:
- kk
base_model:
- nur-dev/roberta-large-kazqad
pipeline_tag: question-answering
license: apache-2.0
metrics:
- accuracy
- f1
tags:
- informatics
library_name: transformers
Model Card for roberta-large-kazqad-informatics_kaz
This model is a fine-tuned version of nur-dev/roberta-large-kazqad, adapted for question-answering tasks in the Kazakh language using the Kundyzka/informatics_kaz dataset.
Model Details
Model Description
This model has been optimized for question-answering in Kazakh within the domain of informatics. It leverages the RoBERTa architecture and has been trained to provide accurate responses to technical and academic questions in this field.
- Developed by: Tleubayeva Arailym, Saparbek Makhambet, Bassanova Nurgul, Shomanov Aday, Sabitkhanov Askhat
- Model type: Transformer-based (RoBERTa)
- Language(s) (NLP): Kazakh (kk)
- License: apache-2.0
Evaluation
Results
EM - 56,69(+316.2%) F1 score- 69,70(+220.8%)
Model Card Authors
Tleubayeva Arailym
Saparbek Makhambet
Bassanova Nurgul