metadata
language:
- nl
tags:
- generated_from_trainer
base_model: GroNLP/bert-base-dutch-cased
datasets:
- GroNLP/dutch-cola
metrics:
- accuracy
widget:
- text: Jan wandelt zijn schoenen.
- text: Oud genoeg voor de disco is Marie nog niet.
model-index:
- name: bertje-dutch-cola
results: []
bertje-dutch-cola
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on Dutch CoLA. It achieves the following results on the evaluation set:
- Loss: 0.7208
- Accuracy: 0.7792
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5395 | 1.0 | 622 | 0.6046 | 0.7346 |
| 0.3626 | 2.0 | 1244 | 0.5864 | 0.7808 |
| 0.261 | 3.0 | 1866 | 0.7208 | 0.7792 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2