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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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7582 1.0 688 0.3280 0.8786
0.3225 2.0 1376 0.2398 0.9206
0.2057 3.0 2064 0.2574 0.9230
0.1642 4.0 2752 0.2820 0.9302
0.1266 5.0 3440 0.3344 0.9317
0.0608 6.0 4128 0.3543 0.9341
0.058 7.0 4816 0.4252 0.9349
0.0315 8.0 5504 0.4736 0.9310
0.0166 9.0 6192 0.4649 0.9349
0.0143 10.0 6880 0.4648 0.9341

Framework versions

  • Transformers 4.14.1
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa

Evaluation results