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bertweet-emotion-base

This model is a fine-tuned version of Bertweet. It achieves the following results on the evaluation set:

  • Loss: 0.1172
  • Accuracy: 0.945

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 80
  • eval_batch_size: 80
  • lr_scheduler_type: linear
  • num_epochs: 6.0

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu113
  • Datasets 1.15.1
  • Tokenizers 0.10.3
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Dataset used to train Emanuel/bertweet-emotion-base

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Evaluation results