---
license: mit
tags:
- generated_from_trainer
datasets:
- germanquad
model-index:
- name: bert-base-german-cased-finetuned-squad
  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. -->

# bert-base-german-cased-finetuned-squad

This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the germanquad dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5561

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9185        | 1.0   | 540  | 1.5012          |
| 1.668         | 2.0   | 1080 | 1.4047          |
| 1.119         | 3.0   | 1620 | 1.6239          |
| 0.7685        | 4.0   | 2160 | 1.9753          |
| 0.5211        | 5.0   | 2700 | 1.9515          |
| 0.3593        | 6.0   | 3240 | 2.2319          |
| 0.2462        | 7.0   | 3780 | 2.3495          |
| 0.1858        | 8.0   | 4320 | 2.4836          |
| 0.1338        | 9.0   | 4860 | 2.5154          |
| 0.1056        | 10.0  | 5400 | 2.5561          |


### Framework versions

- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2