---
language:
- nl
tags:
- generated_from_trainer
base_model: GroNLP/bert-base-dutch-cased
datasets:
- GroNLP/dutch-cola
metrics:
- accuracy
widget:
- text: Jan wandelt zijn schoenen.
- text: Oud genoeg voor de disco is Marie nog niet.
model-index:
- name: bertje-dutch-cola
  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. -->

# bertje-dutch-cola

This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on [Dutch CoLA](https://huggingface.co/datasets/GroNLP/dutch-cola).
It achieves the following results on the evaluation set:
- Loss: 0.7208
- Accuracy: 0.7792

## 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: 32
- eval_batch_size: 32
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5395        | 1.0   | 622  | 0.6046          | 0.7346   |
| 0.3626        | 2.0   | 1244 | 0.5864          | 0.7808   |
| 0.261         | 3.0   | 1866 | 0.7208          | 0.7792   |


### Framework versions

- Transformers 4.39.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2