---
library_name: transformers
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
- generated_from_keras_callback
model-index:
- name: umutarpayy/bert_fen_6
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# umutarpayy/bert_fen_6

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:
- Train Loss: 0.2601
- Train Accuracy: 0.9492
- Validation Loss: 0.1871
- Validation Accuracy: 0.9544
- Epoch: 10

## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3768, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 2.7335     | 0.3676         | 1.5315          | 0.5813              | 0     |
| 1.3478     | 0.6236         | 1.0674          | 0.6885              | 1     |
| 1.0438     | 0.6943         | 0.8446          | 0.7242              | 2     |
| 0.8667     | 0.7393         | 0.6786          | 0.7956              | 3     |
| 0.7305     | 0.7888         | 0.5613          | 0.8512              | 4     |
| 0.6061     | 0.8316         | 0.4309          | 0.8889              | 5     |
| 0.5022     | 0.8635         | 0.3576          | 0.9127              | 6     |
| 0.4176     | 0.8977         | 0.3104          | 0.9266              | 7     |
| 0.3485     | 0.9174         | 0.2435          | 0.9444              | 8     |
| 0.2946     | 0.9385         | 0.2144          | 0.9444              | 9     |
| 0.2601     | 0.9492         | 0.1871          | 0.9544              | 10    |


### Framework versions

- Transformers 4.47.1
- TensorFlow 2.17.1
- Datasets 3.2.0
- Tokenizers 0.21.0