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roberta-base-indonesian-1.5G-sentiment-analysis-smsa

This model is a fine-tuned version of cahya/roberta-base-indonesian-1.5G on the indonlu dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4294
  • Accuracy: 0.9262

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: 1500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6461 1.0 688 0.2620 0.9087
0.2627 2.0 1376 0.2291 0.9151
0.1784 3.0 2064 0.2891 0.9167
0.1099 4.0 2752 0.3317 0.9230
0.0857 5.0 3440 0.4294 0.9262
0.0346 6.0 4128 0.4759 0.9246
0.0221 7.0 4816 0.4946 0.9206
0.006 8.0 5504 0.5823 0.9175
0.0047 9.0 6192 0.5777 0.9159
0.004 10.0 6880 0.5800 0.9175

How to use this model in Transformers Library

from transformers import pipeline

pipe = pipeline(
"text-classification",
model="ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa"
)

pipe("Terima kasih atas bantuannya ya!")

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-1.5G-sentiment-analysis-smsa

Evaluation results