readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: bert-nieuweorganisatie_meerdan100
    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. -->
  
  # bert-nieuweorganisatie_meerdan100
  
  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: 1.1482
  - Accuracy: 0.7584
  
  ## 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: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 1.0871        | 1.0   | 1886  | 0.9585          | 0.7355   |
  | 0.8357        | 2.0   | 3772  | 0.9421          | 0.7377   |
  | 0.6399        | 3.0   | 5658  | 0.9207          | 0.7531   |
  | 0.4953        | 4.0   | 7544  | 0.9751          | 0.7568   |
  | 0.3685        | 5.0   | 9430  | 1.0538          | 0.7475   |
  | 0.2704        | 6.0   | 11316 | 1.1482          | 0.7584   |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  