Edit model card

clickbait-classifier-20230408-001

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the id_clickbait dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7645
  • Accuracy: 0.7992

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: 2e-05
  • 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: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4419 1.0 675 0.3934 0.8275
0.3611 2.0 1350 0.4369 0.8367
0.2017 3.0 2025 0.5936 0.8258
0.1369 4.0 2700 0.9894 0.8058
0.0941 5.0 3375 1.1425 0.82
0.0428 6.0 4050 1.3502 0.7958
0.0236 7.0 4725 1.4706 0.8058
0.0197 8.0 5400 1.6508 0.7975
0.0041 9.0 6075 1.7922 0.7967
0.0037 10.0 6750 1.7645 0.7992

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
Downloads last month
8

Dataset used to train intanm/clickbait-classifier-20230408-001

Evaluation results