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distilroberta-clickbait

This model is a fine-tuned version of distilroberta-base on a dataset of headlines. It achieves the following results on the evaluation set:

  • Loss: 0.0268
  • Acc: 0.9963

Training and evaluation data

The following data sources were used:

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 12345
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 16
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Acc
0.0195 1.0 981 0.0192 0.9954
0.0026 2.0 1962 0.0172 0.9963
0.0031 3.0 2943 0.0275 0.9945
0.0003 4.0 3924 0.0268 0.9963

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.1
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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