intanm / clickbait-classifier-20230408-002

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Total runs: 8
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7-day runs: -1
30-day runs: 1
Model's Last Updated: April 08 2023
text-classification

Introduction of clickbait-classifier-20230408-002

Model Details of clickbait-classifier-20230408-002

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

Runs of intanm clickbait-classifier-20230408-002 on huggingface.co

8
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24-hour runs
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