
	
		
	
	
		age_detection_tr
	


This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset.
It achieves the following results on the evaluation set:


	
		
	
	
		Model description
	


More information needed


	
		
	
	
		Intended uses & limitations
	


More information needed


	
		
	
	
		Training and evaluation data
	


More information needed


	
		
	
	
		Training procedure
	



	
		
	
	
		Training hyperparameters
	


The following hyperparameters were used during training:


optimizer: {'name': 'Adam', 'learning_rate': 3.915628e-08, 'decay': 0.0, 'beta_1': 0.95, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32



	
		
	
	
		Training results
	



	
		
	
	
		Framework versions
	



Transformers 4.26.1
TensorFlow 2.9.1
Datasets 2.10.1
Tokenizers 0.12.1




The age_detection_tr model is a fine-tuned version of the dbmdz/bert-base-turkish-cased model. It is trained on an unknown dataset and is designed to classify the age of Turkish text. The model's performance on the evaluation set is not provided. Further information about the intended uses, limitations, training data, and training procedure is needed to fully understand the capabilities and performance of the model. The training hyperparameters reveal that the Adam optimizer was used with a learning rate of 3.915628e-08 and other default settings. The framework versions used for training are Transformers 4.26.1, TensorFlow 2.9.1, Datasets 2.10.1, and Tokenizers 0.12.1.

Platform did not provide a description for this model.

The gender_detection_tr model is a text classification model trained to identify the gender of a given Turkish text. It can be used to predict whether a given text was written by a male or a female.

Basakdemirok

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