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baitblocker

This model is a fine-tuned version of cahya/bert-base-indonesian-1.5G on the 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
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Dataset used to train folfcoder/baitblocker