
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# age_detection_tr

This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/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

{"license": "mit", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "age_detection_tr", "results": []}]}
transformers tf bert text-classification generated_from_keras_callback license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #region-us 




# 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

# 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
TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # 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