# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** Yakup Haydar Baba, İlkay Yağız Gür, Melih Önol, Hasan Atabey Ayhan, Deniz Bedran Yıldırım
- **Language(s) (NLP):** Turkish
- **Finetuned from model [optional]:** dbmdz/bert-base-turkish-uncased


## Uses

- This model can be used for Turkish fake news detection purposes



### Training Data

Training dataset used from Mertoğlu, U., & Genç, B. (2020). "Automated fake news detection in the age of digital libraries. Information Technology and Libraries, 39(4)" paper.




#### Training Hyperparameters

- All training hyperparameters are used as default 



## Model Card Authors

- Yakup Haydar Baba

{"language": ["tr"], "tags": ["Fake News"], "metrics": ["accuracy", "f1"], "pipeline_tag": "text-classification"}
transformers pytorch bert text-classification Fake News tr autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #Fake News #tr #autotrain_compatible #endpoints_compatible #region-us 

# Model Card for Model ID



This modelcard aims to be a base template for new models. It has been generated using this raw template.

## Model Details

### Model Description





- Developed by: Yakup Haydar Baba, İlkay Yağız Gür, Melih Önol, Hasan Atabey Ayhan, Deniz Bedran Yıldırım
- Language(s) (NLP): Turkish
- Finetuned from model [optional]: dbmdz/bert-base-turkish-uncased


## Uses

- This model can be used for Turkish fake news detection purposes



### Training Data

Training dataset used from Mertoğlu, U., & Genç, B. (2020). "Automated fake news detection in the age of digital libraries. Information Technology and Libraries, 39(4)" paper.




#### Training Hyperparameters

- All training hyperparameters are used as default 



## Model Card Authors

- Yakup Haydar Baba

# Model Card for Model ID



This modelcard aims to be a base template for new models. It has been generated using this raw template. ## Model Details ### Model Description





- Developed by: Yakup Haydar Baba, İlkay Yağız Gür, Melih Önol, Hasan Atabey Ayhan, Deniz Bedran Yıldırım
- Language(s) (NLP): Turkish
- Finetuned from model [optional]: dbmdz/bert-base-turkish-uncased ## Uses

- This model can be used for Turkish fake news detection purposes ### Training Data

Training dataset used from Mertoğlu, U., & Genç, B. (2020). "Automated fake news detection in the age of digital libraries. Information Technology and Libraries, 39(4)" paper. #### Training Hyperparameters

- All training hyperparameters are used as default ## Model Card Authors

- Yakup Haydar Baba
TAGS
#transformers #pytorch #bert #text-classification #Fake News #tr #autotrain_compatible #endpoints_compatible #region-us 
 # Model Card for Model ID



This modelcard aims to be a base template for new models. It has been generated using this raw template. ## Model Details ### Model Description





- Developed by: Yakup Haydar Baba, İlkay Yağız Gür, Melih Önol, Hasan Atabey Ayhan, Deniz Bedran Yıldırım
- Language(s) (NLP): Turkish
- Finetuned from model [optional]: dbmdz/bert-base-turkish-uncased ## Uses

- This model can be used for Turkish fake news detection purposes ### Training Data

Training dataset used from Mertoğlu, U., & Genç, B. (2020). "Automated fake news detection in the age of digital libraries. Information Technology and Libraries, 39(4)" paper. #### Training Hyperparameters

- All training hyperparameters are used as default ## Model Card Authors

- Yakup Haydar Baba