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Muffins987/robertabase-subjectivity-1-actual

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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robertabase-subjectivity-1-actual

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

  • —Loss: 0.7706
  • —Accuracy: 0.7655
  • —F1: 0.7626

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: 1e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyF1
0.54631.0200000.56430.74950.7516
0.63272.0400000.77060.76550.7626

Framework versions

  • —Transformers 4.27.3
  • —Pytorch 1.13.0
  • —Datasets 2.1.0
  • —Tokenizers 0.13.2