readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: BertjeWDialDataALLQonly09
    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. -->
  
  # BertjeWDialDataALLQonly09
  
  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: 1.9043
  
  ## 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
  