---
license: mit
base_model: oliverguhr/german-sentiment-bert
tags:
- generated_from_trainer
model-index:
- name: german-sentiment-bert-retrained-20240110
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# german-sentiment-bert-retrained-20240110

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: 1.6099

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5995        | 1.0   | 3    | 1.8235          |
| 2.5995        | 2.0   | 6    | 1.8114          |
| 2.5995        | 3.0   | 9    | 1.7902          |
| 2.5995        | 4.0   | 12   | 1.7628          |
| 2.5995        | 5.0   | 15   | 1.7234          |
| 2.5995        | 6.0   | 18   | 1.6716          |
| 2.5995        | 7.0   | 21   | 1.6099          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.0