| | --- |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: bert-turkish-from-scratch-2 |
| | 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. --> |
| |
|
| | # bert-turkish-from-scratch-2 |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.2439 |
| | - Train Accuracy: 0.9903 |
| | - Epoch: 6 |
| |
|
| | ## 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': 'Adagrad', 'learning_rate': 0.001, 'decay': 0.0, 'initial_accumulator_value': 0.1, 'epsilon': 1e-07} |
| | - training_precision: float32 |
| |
|
| | ### Training results |
| |
|
| | | Train Loss | Train Accuracy | Epoch | |
| | |:----------:|:--------------:|:-----:| |
| | | 0.5831 | 0.9423 | 0 | |
| | | 0.4659 | 0.9522 | 1 | |
| | | 0.3938 | 0.9603 | 2 | |
| | | 0.3409 | 0.9700 | 3 | |
| | | 0.3003 | 0.9807 | 4 | |
| | | 0.2690 | 0.9874 | 5 | |
| | | 0.2439 | 0.9903 | 6 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.25.1 |
| | - TensorFlow 2.9.2 |
| | - Datasets 2.8.0 |
| | - Tokenizers 0.13.2 |
| |
|
