readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly
    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. -->
  
  # VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly
  
  This model is a fine-tuned version of [outputDAQonly/checkpoint-8710](https://huggingface.co/outputDAQonly/checkpoint-8710) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5008
  - Accuracy: 0.9068
  
  ## 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: 1e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
  - lr_scheduler_type: linear
  - num_epochs: 15.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 4.0751        | 1.0   | 1320  | 3.1674          | 0.4086   |
  | 2.5619        | 2.0   | 2640  | 2.0335          | 0.6426   |
  | 1.8549        | 3.0   | 3960  | 1.3537          | 0.7861   |
  | 1.106         | 4.0   | 5280  | 0.9515          | 0.8519   |
  | 0.6698        | 5.0   | 6600  | 0.7152          | 0.8757   |
  | 0.4497        | 6.0   | 7920  | 0.5838          | 0.8921   |
  | 0.2626        | 7.0   | 9240  | 0.5300          | 0.8940   |
  | 0.1762        | 8.0   | 10560 | 0.4984          | 0.8958   |
  | 0.119         | 9.0   | 11880 | 0.4906          | 0.9059   |
  | 0.0919        | 10.0  | 13200 | 0.4896          | 0.8995   |
  | 0.0722        | 11.0  | 14520 | 0.5012          | 0.9022   |
  | 0.0517        | 12.0  | 15840 | 0.4951          | 0.9040   |
  | 0.0353        | 13.0  | 17160 | 0.4988          | 0.9040   |
  | 0.0334        | 14.0  | 18480 | 0.5035          | 0.9049   |
  | 0.0304        | 15.0  | 19800 | 0.5008          | 0.9068   |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.10.0
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  