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Update: language tag
ca9b0b4
metadata
language:
  - nl
tags:
  - generated_from_trainer
model_index:
  - name: bert-base-dutch-cased-finetuned-gem
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask

bert-base-dutch-cased-finetuned-gem

This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on an unkown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8767

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: 3.0

Training results

Training Loss Epoch Step Validation Loss
1.7518 1.0 2133 1.8428
1.5679 2.0 4266 1.8729
1.3332 3.0 6399 1.8767

Framework versions

  • Transformers 4.8.2
  • Pytorch 1.9.0+cu102
  • Datasets 1.9.0
  • Tokenizers 0.10.3