readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  - precision
  - recall
  model-index:
  - name: dknews-NB-BERT-AI-classifier
    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. -->
  
  # dknews-NB-BERT-AI-classifier/
  
  This model is a fine-tuned version of [NbAiLab/nb-bert-large](https://huggingface.co/NbAiLab/nb-bert-large) on a custom dataset with Danish News articles either generated by GPT-3 or a Danish journalist from a large Danish news media. The task is then to classify whether the article is written by GPT-3 (label = 0) or human (label = 1) 
  
  It achieves the following results on the evaluation set (the best model loaded i.e., after 2 epochs)
  - Loss: 0.1804
  - Accuracy: 0.9574
  - F1: 0.9574
  - Precision: 0.9576
  - Recall: 0.9574
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  The model is trained on Danish news articles either generated by a fine-tuned GPT-3 or a Danish Journalist from a large Danish News Media TV2. 
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 24
  - eval_batch_size: 24
  - seed: 2502
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
  | 0.696         | 1.0   | 39   | 0.4926          | 0.8262   | 0.8211 | 0.8672    | 0.8262 |
  | 0.4195        | 2.0   | 78   | 0.1804          | 0.9574   | 0.9574 | 0.9576    | 0.9574 |
  | 0.1458        | 3.0   | 117  | 0.2810          | 0.9246   | 0.9241 | 0.9344    | 0.9246 |
  | 0.0424        | 4.0   | 156  | 0.5893          | 0.8852   | 0.8838 | 0.9041    | 0.8852 |
  | 0.0246        | 5.0   | 195  | 1.4776          | 0.7475   | 0.7301 | 0.8321    | 0.7475 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  