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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
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