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# german-party-sentiment-bert-241-synonyms-2e-5

This model is a fine-tuned version of [mdraw/german-news-sentiment-bert](https://huggingface.co/mdraw/german-news-sentiment-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9818

## 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:
- learning_rate: 2e-05
- train_batch_size: 20
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 120
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3705        | 1.0   | 28   | 1.0185          |
| 0.9946        | 2.0   | 56   | 1.0082          |
| 0.9946        | 3.0   | 84   | 0.9818          |
| 0.889         | 4.0   | 112  | 1.1041          |
| 0.889         | 5.0   | 140  | 1.1179          |
| 0.7673        | 6.0   | 168  | 1.1374          |
| 0.5117        | 7.0   | 196  | 1.2313          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "base_model": "mdraw/german-news-sentiment-bert", "model-index": [{"name": "german-party-sentiment-bert-241-synonyms-2e-5", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:mdraw/german-news-sentiment-bert autotrain_compatible endpoints_compatible region:us