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# german-party-sentiment-bert-241-synonyms-gsb

This model is a fine-tuned version of [oliverguhr/german-sentiment-bert](https://huggingface.co/oliverguhr/german-sentiment-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9954

## 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: 8e-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2316        | 1.0   | 28   | 2.0246          |
| 1.9893        | 2.0   | 56   | 1.4143          |
| 1.9893        | 3.0   | 84   | 1.0818          |
| 1.1552        | 4.0   | 112  | 0.9954          |
| 1.1552        | 5.0   | 140  | 0.9998          |
| 0.9247        | 6.0   | 168  | 1.0124          |
| 0.8037        | 7.0   | 196  | 1.0044          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.2+cu118
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "oliverguhr/german-sentiment-bert", "model-index": [{"name": "german-party-sentiment-bert-241-synonyms-gsb", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:oliverguhr/german-sentiment-bert license:mit autotrain_compatible endpoints_compatible region:us