---
license: mit
language:
- tr
tags:
- Question Answering
- bert
metrics:
- exact_match
- f1
pipeline_tag: question-answering
---
# Turkish SQuAD Model: Question Answering

I fine-tuned Turkish-Bert-Model for Question-Answering problem with Turkish version of SQuAD; 

   - **BERTürk-Cased128k:** https://huggingface.co/dbmdz/bert-base-turkish-128k-cased

   - **THQuAD Dataset:**  https://github.com/okanvk/Turkish-Reading-Comprehension-Question-Answering-Dataset

## Model Details
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### Model Description

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## Uses

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### Direct Use

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## How to Get Started with the Model

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## Training Details

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### Results

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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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