transformers pytorch bert question-answering generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
dataset:
- type: yhavinga/squad_v2_dutch
- name: Dutch translation of SQUAD v2 dataset by yhavinga
model-index:
- name: bert-question-answering-dutch
  results: []
---

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# bert-question-answering-dutch

This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1493

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1616        | 1.0   | 16288 | 0.9373          |
| 0.807         | 2.0   | 32576 | 0.9496          |
| 0.579         | 3.0   | 48864 | 1.1493          |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
