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