readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: baitblocker
    results: []
  datasets:
  - id_clickbait
  widget:
  - text: "Kronologi Tukang Becak Cairkan Uang Rp 320 Juta di Surabaya Versi Keluarga Pemilik Rekening"
    example_title: "Headline Kompas"
  - text: "11 Orang Tewas dalam Ledakan Bom dan Baku Tembak Kelompok Bersenjata di Somalia"
    example_title: "Headline Tribun"
  ---
  
  <!-- 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. -->
  
  # baitblocker
  
  This model is a fine-tuned version of [cahya/bert-base-indonesian-1.5G](https://huggingface.co/cahya/bert-base-indonesian-1.5G) on the [id_clickbait](https://huggingface.co/datasets/id_clickbait) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4660
  - Accuracy: 0.8347
  
  ## 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-06
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.4025        | 1.0   | 1500 | 0.4074          | 0.827    |
  | 0.3581        | 2.0   | 3000 | 0.4090          | 0.8283   |
  | 0.333         | 3.0   | 4500 | 0.4660          | 0.8347   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2