| --- |
| license: mit |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: clickbait-ml_bert |
| results: [] |
| language: |
| - de |
| metrics: |
| - accuracy |
| pipeline_tag: text-classification |
| widget: |
| - text: Bundesweiter Großstreik beginnt - Züge, Busse und Flugzeuge stehen still |
| example_title: Normale Überschrift |
| - text: Bachelor in Paradise-Star Pamela Gil Matas Sohn ist da! |
| example_title: Clickbait Überschrift |
| - text: Du wirst nie glauben was hier geschah |
| example_title: Beispiel |
| datasets: |
| - ml-projects/clickbait-ml_dataset |
| --- |
| |
| <!-- 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. --> |
|
|
| # clickbait-ml_bert |
| |
| This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.6057 |
| - Validation Loss: 0.6160 |
| - Train Accuracy: 0.8235 |
| - Epoch: 3 |
| |
| ## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 8, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
| - training_precision: float32 |
| |
| ### Training results |
| |
| | Train Loss | Validation Loss | Train Accuracy | Epoch | |
| |:----------:|:---------------:|:--------------:|:-----:| |
| | 0.7115 | 0.6299 | 0.8235 | 0 | |
| | 0.6071 | 0.6160 | 0.8235 | 1 | |
| | 0.5783 | 0.6160 | 0.8235 | 2 | |
| | 0.6057 | 0.6160 | 0.8235 | 3 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.30.1 |
| - TensorFlow 2.12.0 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
