---
base_model: mdraw/german-news-sentiment-bert
tags:
- generated_from_trainer
model-index:
- name: german-party-sentiment-bert-complete-synonyms-5e-5
  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-party-sentiment-bert-complete-synonyms-5e-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: 0.8769

## 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: 14

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9596        | 1.0   | 70   | 0.9676          |
| 0.9122        | 2.0   | 140  | 0.8769          |
| 0.7382        | 3.0   | 210  | 0.9984          |
| 0.5708        | 4.0   | 280  | 1.1080          |
| 0.3579        | 5.0   | 350  | 1.4137          |
| 0.3066        | 6.0   | 420  | 1.8204          |
| 0.1716        | 7.0   | 490  | 1.8167          |
| 0.1974        | 8.0   | 560  | 2.1479          |
| 0.1164        | 9.0   | 630  | 2.3899          |
| 0.0878        | 10.0  | 700  | 2.5266          |
| 0.07          | 11.0  | 770  | 2.7014          |
| 0.0604        | 12.0  | 840  | 2.7048          |
| 0.0278        | 13.0  | 910  | 2.8119          |
| 0.0376        | 14.0  | 980  | 2.8799          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Tokenizers 0.15.1