---
license: mit
tags:
- generated_from_trainer
datasets:
- germanquad
model-index:
- name: roberta-base-wechsel-german-finetuned-germanquad
  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. -->

# roberta-base-wechsel-german-finetuned-germanquad

This model is a fine-tuned version of [benjamin/roberta-base-wechsel-german](https://huggingface.co/benjamin/roberta-base-wechsel-german) on the germanquad dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0401

## 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   | 180  | 2.7806          |
| No log        | 2.0   | 360  | 2.5746          |
| 2.7322        | 3.0   | 540  | 2.4898          |
| 2.7322        | 4.0   | 720  | 1.6754          |
| 2.7322        | 5.0   | 900  | 1.6187          |
| 1.0385        | 6.0   | 1080 | 1.7933          |
| 1.0385        | 7.0   | 1260 | 1.8615          |
| 1.0385        | 8.0   | 1440 | 1.9606          |
| 0.4498        | 9.0   | 1620 | 1.9858          |
| 0.4498        | 10.0  | 1800 | 2.0401          |


### Framework versions

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