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dwisaji/SentimentBert

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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SentimentBert

This model is a fine-tuned version of cahya/bert-base-indonesian-522M on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2005
  • —Accuracy: 0.965

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
No log1.02750.78070.715
0.8352.05501.05880.635
0.8353.08250.27640.94
0.52634.011000.19130.97
0.52635.013750.20050.965

Framework versions

  • —Transformers 4.22.0
  • —Pytorch 1.12.1+cu113
  • —Datasets 2.4.0
  • —Tokenizers 0.12.1