BertjeWDialDataALLQonly09

This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9043

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 12.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.2439	1.0	871	2.1102
2.1235	2.0	1742	2.0785
2.0709	3.0	2613	2.0689
2.0033	4.0	3484	2.0565
1.9386	5.0	4355	2.0290
1.8909	6.0	5226	2.0366
1.8449	7.0	6097	1.9809
1.8078	8.0	6968	2.0177
1.7709	9.0	7839	2.0289
1.7516	10.0	8710	1.9645
1.7354	11.0	9581	1.9810
1.7073	12.0	10452	1.9631

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.10.0
• Datasets 1.16.1
• Tokenizers 0.10.3