---
library_name: transformers
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
- generated_from_keras_callback
model-index:
- name: umutarpayy/berturkce_turkce_6_v6
  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/berturkce_turkce_6_v6

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: 0.5811
- Train Accuracy: 0.9333
- Validation Loss: 0.4950
- Validation Accuracy: 0.9344
- 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': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 3e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 743, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 82, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 3.5568     | 0.0742         | 3.4276          | 0.0984              | 0     |
| 3.2726     | 0.1792         | 3.0073          | 0.2131              | 1     |
| 2.7026     | 0.3142         | 2.3118          | 0.4590              | 2     |
| 2.0574     | 0.5108         | 1.7425          | 0.5574              | 3     |
| 1.6287     | 0.6242         | 1.3675          | 0.7377              | 4     |
| 1.2799     | 0.7267         | 1.0404          | 0.7951              | 5     |
| 1.0124     | 0.8025         | 0.8324          | 0.8279              | 6     |
| 0.8252     | 0.8617         | 0.6604          | 0.8852              | 7     |
| 0.6918     | 0.8925         | 0.5631          | 0.9180              | 8     |
| 0.6090     | 0.9217         | 0.5101          | 0.9344              | 9     |
| 0.5811     | 0.9333         | 0.4950          | 0.9344              | 10    |


### Framework versions

- Transformers 4.47.1
- TensorFlow 2.18.0
- Datasets 3.2.0
- Tokenizers 0.21.0