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YuHannn/fine_tuning_roberta_model

sourceHugging Faceupdated 3y agoView on Hugging Face
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finetuningroberta_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
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 10

Training results

Training LossEpochStepValidation LossRmse
0.50851.050.62680.7255
0.25622.0100.66860.7255
0.14963.0150.69890.5620
0.09344.0201.00440.6882
0.12245.0251.17980.7255
0.05616.0301.19060.6882
0.02077.0351.17740.6882
0.04178.0401.15510.6882
0.01319.0451.16280.6882
0.013410.0501.17410.6882

Framework versions

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