---
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
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# 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: 2.5718

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.959         | 1.0   | 930  | 1.3259          |
| 1.4632        | 2.0   | 1860 | 1.2816          |
| 0.954         | 3.0   | 2790 | 1.4692          |
| 0.6371        | 4.0   | 3720 | 1.6610          |
| 0.4482        | 5.0   | 4650 | 1.8121          |
| 0.3169        | 6.0   | 5580 | 1.9942          |
| 0.2021        | 7.0   | 6510 | 2.2969          |
| 0.147         | 8.0   | 7440 | 2.4245          |
| 0.1132        | 9.0   | 8370 | 2.5011          |
| 0.0858        | 10.0  | 9300 | 2.5718          |


### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2