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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
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