---
license: mit
base_model: oliverguhr/german-sentiment-bert
tags:
- generated_from_trainer
model-index:
- name: german-party-sentiment-bert-complete-gsbert
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# German-Party-Sentiment-Bert

This model is a fine-tuned version of [oliverguhr/german-sentiment-bert](https://huggingface.co/oliverguhr/german-sentiment-bert) on a dataset consisting of mentions of german political parties.
It achieves the following results on the evaluation set:
- Loss: 0.8912

## 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: 5e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2844        | 1.0   | 65   | 0.9382          |
| 0.9704        | 2.0   | 130  | 0.8912          |
| 0.7394        | 3.0   | 195  | 1.0455          |
| 0.5401        | 4.0   | 260  | 1.2711          |
| 0.4274        | 5.0   | 325  | 1.3578          |
| 0.2289        | 6.0   | 390  | 1.6143          |
| 0.1949        | 7.0   | 455  | 1.8376          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Tokenizers 0.15.1