---
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: 2.5837

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 360  | 1.7190          |
| 2.7136        | 2.0   | 720  | 1.6624          |
| 1.3704        | 3.0   | 1080 | 1.6460          |
| 1.3704        | 4.0   | 1440 | 1.9336          |
| 0.7467        | 5.0   | 1800 | 2.0047          |
| 0.4077        | 6.0   | 2160 | 2.1701          |
| 0.2468        | 7.0   | 2520 | 2.3223          |
| 0.2468        | 8.0   | 2880 | 2.4638          |
| 0.1475        | 9.0   | 3240 | 2.5493          |
| 0.1023        | 10.0  | 3600 | 2.5837          |


### Framework versions

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