readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: BertjeWDialDataALL04
    results: []
  ---
  
  <!-- 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. -->
  
  # BertjeWDialDataALL04
  
  This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9717
  
  ## 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: 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: 8.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.2954        | 1.0   | 1542  | 2.0372          |
  | 2.2015        | 2.0   | 3084  | 2.0104          |
  | 2.1661        | 3.0   | 4626  | 2.0372          |
  | 2.1186        | 4.0   | 6168  | 1.9549          |
  | 2.0939        | 5.0   | 7710  | 1.9438          |
  | 2.0867        | 6.0   | 9252  | 1.9648          |
  | 2.0462        | 7.0   | 10794 | 1.9465          |
  | 2.0315        | 8.0   | 12336 | 1.9412          |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.10.0
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  