---
license: mit
base_model: bert-base-german-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-german-cased-germeval2024
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-german-cased-germeval2024

This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9423
- Accuracy: 0.4952
- F1: 0.5454

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.9231        | 0.9831 | 58   | 1.3925          | 0.4351   | 0.5393 |
| 0.4828        | 1.9661 | 116  | 1.9050          | 0.5      | 0.5349 |
| 0.1764        | 2.9492 | 174  | 2.3104          | 0.5481   | 0.5584 |
| 0.0737        | 3.9322 | 232  | 2.6077          | 0.5312   | 0.5683 |
| 0.0297        | 4.9153 | 290  | 2.9423          | 0.4952   | 0.5454 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1