---
library_name: transformers
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0945
- F1: 0.9841
- Accuracy: 0.9881
- F1 Yes: 0.9760

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | F1 Yes |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:------:|
| 0.6781        | 1.0   | 1133 | 0.2196          | 0.9637 | 0.9735   | 0.9449 |
| 0.1439        | 2.0   | 2266 | 0.1432          | 0.9755 | 0.9819   | 0.9630 |
| 0.2089        | 3.0   | 3399 | 0.1242          | 0.9828 | 0.9872   | 0.9742 |
| 0.0851        | 4.0   | 4532 | 0.1035          | 0.9851 | 0.9890   | 0.9775 |
| 0.1160        | 5.0   | 5665 | 0.1555          | 0.9827 | 0.9872   | 0.9738 |
| 0.0628        | 6.0   | 6798 | 0.2245          | 0.9796 | 0.9850   | 0.9691 |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2