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fine_tuning_roberta_model

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1741
  • Rmse: 0.6882

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • 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 Rmse
0.5085 1.0 5 0.6268 0.7255
0.2562 2.0 10 0.6686 0.7255
0.1496 3.0 15 0.6989 0.5620
0.0934 4.0 20 1.0044 0.6882
0.1224 5.0 25 1.1798 0.7255
0.0561 6.0 30 1.1906 0.6882
0.0207 7.0 35 1.1774 0.6882
0.0417 8.0 40 1.1551 0.6882
0.0131 9.0 45 1.1628 0.6882
0.0134 10.0 50 1.1741 0.6882

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cpu
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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