---
tags:
- generated_from_trainer
model-index:
- name: GWW
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GWW

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: 2.7144

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.1537        | 1.0   | 50   | 3.2586          |
| 3.3257        | 2.0   | 100  | 3.0064          |
| 3.1152        | 3.0   | 150  | 2.8890          |
| 2.9988        | 4.0   | 200  | 2.8521          |
| 2.9437        | 5.0   | 250  | 2.7453          |


### Framework versions

- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1