Arailym-tleubayeva/roberta-large-kazqad-informatics_kaz

Model

Model Card for roberta-large-kazqad-informatics_kaz

0

10 commits

1 linked in READMEs

updated Jul 8, 2025

See the code

README

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

Sabitkhanov Askhat

endpoints_compatible
informatics
question-answering
roberta
safetensors
transformers

Arailym-tleubayeva/roberta-large-kazqad-informatics_kaz

Model

Model Card for roberta-large-kazqad-informatics_kaz

0

10 commits

1 linked in READMEs

updated Jul 8, 2025

See the code

README

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

Sabitkhanov Askhat

endpoints_compatible
informatics
question-answering
roberta
safetensors
transformers