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ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa

sourceHugging Facemitupdated 5y agoView on Hugging Face
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roberta-base-indonesian-sentiment-analysis-smsa

This model is a fine-tuned version of flax-community/indonesian-roberta-base on the indonlu dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4252
  • —Accuracy: 0.9349

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 2000
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
0.75821.06880.32800.8786
0.32252.013760.23980.9206
0.20573.020640.25740.9230
0.16424.027520.28200.9302
0.12665.034400.33440.9317
0.06086.041280.35430.9341
0.0587.048160.42520.9349
0.03158.055040.47360.9310
0.01669.061920.46490.9349
0.014310.068800.46480.9341

Framework versions

  • —Transformers 4.14.1
  • —Pytorch 1.10.0+cu111
  • —Datasets 1.16.1
  • —Tokenizers 0.10.3