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---
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: robbert0410_lrate10b8
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_lrate10b8
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: 0.6067
- Precisions: 0.8082
- Recall: 0.7813
- F-measure: 0.7929
- Accuracy: 0.9106
## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
| 0.6356 | 1.0 | 471 | 0.4207 | 0.8357 | 0.6959 | 0.6907 | 0.8767 |
| 0.3636 | 2.0 | 942 | 0.3759 | 0.7587 | 0.7486 | 0.7497 | 0.8938 |
| 0.2131 | 3.0 | 1413 | 0.4114 | 0.8027 | 0.7381 | 0.7548 | 0.8966 |
| 0.1356 | 4.0 | 1884 | 0.4721 | 0.8141 | 0.7498 | 0.7682 | 0.9015 |
| 0.0768 | 5.0 | 2355 | 0.5470 | 0.7628 | 0.7637 | 0.7575 | 0.8969 |
| 0.0459 | 6.0 | 2826 | 0.5884 | 0.7864 | 0.7783 | 0.7807 | 0.9109 |
| 0.0267 | 7.0 | 3297 | 0.6067 | 0.8082 | 0.7813 | 0.7929 | 0.9106 |
| 0.0183 | 8.0 | 3768 | 0.6205 | 0.7964 | 0.7684 | 0.7786 | 0.9090 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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