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---
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 |