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---
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: robbert0410_lrate7.5b8
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. -->
# robbert0410_lrate7.5b8
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: 0.3807
- Precisions: 0.7617
- Recall: 0.7368
- F-measure: 0.7423
- Accuracy: 0.8880
## 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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
| No log | 1.0 | 471 | 0.4437 | 0.8549 | 0.6737 | 0.6835 | 0.8700 |
| 0.5971 | 2.0 | 942 | 0.3807 | 0.7617 | 0.7368 | 0.7423 | 0.8880 |
| 0.2963 | 3.0 | 1413 | 0.4422 | 0.7859 | 0.7422 | 0.7476 | 0.9028 |
| 0.1606 | 4.0 | 1884 | 0.5208 | 0.8338 | 0.7546 | 0.7754 | 0.9041 |
| 0.107 | 5.0 | 2355 | 0.5299 | 0.7982 | 0.7887 | 0.7915 | 0.9076 |
| 0.0628 | 6.0 | 2826 | 0.5734 | 0.8099 | 0.7694 | 0.7824 | 0.9121 |
| 0.0295 | 7.0 | 3297 | 0.6021 | 0.8090 | 0.7771 | 0.7898 | 0.9116 |
| 0.0192 | 8.0 | 3768 | 0.6043 | 0.8120 | 0.7801 | 0.7927 | 0.9137 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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