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clickbait-classifier-20230408-002

This model is a fine-tuned version of bert-base-multilingual-cased on the id_clickbait dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2628
  • Accuracy: 0.8025

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
0.51 1.0 675 0.4566 0.7792
0.419 2.0 1350 0.4388 0.7908
0.2972 3.0 2025 0.5607 0.8017
0.2428 4.0 2700 0.5913 0.7983
0.2086 5.0 3375 0.8132 0.7883
0.1564 6.0 4050 0.9334 0.7917
0.1114 7.0 4725 1.0183 0.7975
0.1023 8.0 5400 1.1756 0.8008
0.0649 9.0 6075 1.2468 0.7975
0.0465 10.0 6750 1.2628 0.8025

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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Dataset used to train intanm/clickbait-classifier-20230408-002

Evaluation results