---
license: apache-2.0
base_model: distilbert-base-german-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-german-cased
  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. -->

# distilbert-base-german-cased

This model is a fine-tuned version of [distilbert-base-german-cased](https://huggingface.co/distilbert-base-german-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4297
- Accuracy: 0.8842
- F1: 0.8843

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6037        | 1.0   | 1156 | 0.4114          | 0.8765   | 0.8765 |
| 0.4754        | 2.0   | 2312 | 0.4201          | 0.8784   | 0.8790 |
| 0.4359        | 3.0   | 3468 | 0.4297          | 0.8842   | 0.8843 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.1
- Datasets 2.19.1
- Tokenizers 0.19.1