---
base_model: GroNLP/bert-base-dutch-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: model_compleet_wie_mask_red2
  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. -->

# model_compleet_wie_mask_red2

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: 0.4347
- Accuracy: 0.8547
- F1: 0.8134

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.661         | 0.77  | 50   | 0.6058          | 0.7006   | 0.6308 |
| 0.4353        | 1.54  | 100  | 0.3687          | 0.8401   | 0.7955 |
| 0.2514        | 2.31  | 150  | 0.4347          | 0.8547   | 0.8134 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2