---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: robbertfinetuned0906
  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. -->

# robbertfinetuned0906

This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5859
- Precision: 0.7151
- Recall: 0.7079
- F1: 0.7115
- Accuracy: 0.9186

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.046         | 1.0   | 580  | 0.5770          | 0.6912    | 0.6633 | 0.6769 | 0.9102   |
| 0.0405        | 2.0   | 1160 | 0.5704          | 0.6996    | 0.6835 | 0.6914 | 0.9133   |
| 0.0346        | 3.0   | 1740 | 0.5786          | 0.6951    | 0.7201 | 0.7074 | 0.9130   |
| 0.0242        | 4.0   | 2320 | 0.5453          | 0.7098    | 0.7216 | 0.7157 | 0.9186   |
| 0.0184        | 5.0   | 2900 | 0.6058          | 0.7118    | 0.7036 | 0.7077 | 0.9189   |
| 0.0087        | 6.0   | 3480 | 0.5859          | 0.7151    | 0.7079 | 0.7115 | 0.9186   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3