readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: BertjeWDialDataALLQonly07
    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. -->
  
  # BertjeWDialDataALLQonly07
  
  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: 2.1135
  
  ## 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: 0.0001
  - 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: 18.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.3589        | 1.0   | 871   | 2.2805          |
  | 2.2563        | 2.0   | 1742  | 2.2501          |
  | 2.1936        | 3.0   | 2613  | 2.2419          |
  | 2.11          | 4.0   | 3484  | 2.2301          |
  | 2.0311        | 5.0   | 4355  | 2.2320          |
  | 1.969         | 6.0   | 5226  | 2.2276          |
  | 1.9148        | 7.0   | 6097  | 2.1621          |
  | 1.8569        | 8.0   | 6968  | 2.1876          |
  | 1.7978        | 9.0   | 7839  | 2.2011          |
  | 1.7602        | 10.0  | 8710  | 2.1280          |
  | 1.7166        | 11.0  | 9581  | 2.1644          |
  | 1.6651        | 12.0  | 10452 | 2.1246          |
  | 1.6141        | 13.0  | 11323 | 2.1264          |
  | 1.5759        | 14.0  | 12194 | 2.1143          |
  | 1.5478        | 15.0  | 13065 | 2.0982          |
  | 1.5311        | 16.0  | 13936 | 2.0993          |
  | 1.5187        | 17.0  | 14807 | 2.0979          |
  | 1.4809        | 18.0  | 15678 | 2.0338          |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.10.0
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  