---
license: mit
base_model: oliverguhr/german-sentiment-bert
tags:
- generated_from_trainer
model-index:
- name: german-party-sentiment-bert-111-synonyms-gsb
  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-111-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: 1.2312

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9784        | 1.0   | 25   | 2.4393          |
| 2.1482        | 2.0   | 50   | 1.7015          |
| 2.1482        | 3.0   | 75   | 1.3364          |
| 1.2275        | 4.0   | 100  | 1.2312          |
| 1.2275        | 5.0   | 125  | 1.2378          |
| 0.9575        | 6.0   | 150  | 1.3016          |
| 0.9575        | 7.0   | 175  | 1.3064          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.2+cu118
- Tokenizers 0.15.1