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# 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
{"language": ["de"], "license": "mit", "tags": ["generated_from_keras_callback"], "datasets": ["ml-projects/clickbait-ml_dataset"], "metrics": ["accuracy"], "pipeline_tag": "text-classification", "widget": [{"text": "Bundesweiter Gro\u00dfstreik beginnt - Z\u00fcge, Busse und Flugzeuge stehen still", "example_title": "Normale \u00dcberschrift"}, {"text": "Bachelor in Paradise-Star Pamela Gil Matas Sohn ist da!", "example_title": "Clickbait \u00dcberschrift"}, {"text": "Du wirst nie glauben was hier geschah", "example_title": "Beispiel"}], "model-index": [{"name": "clickbait-ml_bert", "results": []}]}
transformers tf onnx bert text-classification generated_from_keras_callback de dataset:ml-projects/clickbait-ml_dataset license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #onnx #bert #text-classification #generated_from_keras_callback #de #dataset-ml-projects/clickbait-ml_dataset #license-mit #autotrain_compatible #endpoints_compatible #region-us 

clickbait-ml\_bert
==================


This model is a fine-tuned version of 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



### Framework versions


* Transformers 4.30.1
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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 ### Framework versions


* Transformers 4.30.1
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #tf #onnx #bert #text-classification #generated_from_keras_callback #de #dataset-ml-projects/clickbait-ml_dataset #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.30.1
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3