readme: ---
  language:
  - nl
  tags:
  - generated_from_trainer
  model_index:
  - name: bert-base-dutch-cased-finetuned-gem
    results:
    - task:
        name: Masked Language Modeling
        type: fill-mask
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # bert-base-dutch-cased-finetuned-gem
  
  This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/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
  