bert-question-answering-dutch
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1493
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1616 | 1.0 | 16288 | 0.9373 |
| 0.807 | 2.0 | 32576 | 0.9496 |
| 0.579 | 3.0 | 48864 | 1.1493 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3