exp-fine-tuning / README.md
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exp-fine-tuning
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metadata
base_model: ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: exp-fine-tuning
    results: []

exp-fine-tuning

This model is a fine-tuned version of ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1874
  • Accuracy: 0.8379
  • F1: 0.8371

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: 2e-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
  • num_epochs: 10

Training results

Framework versions

  • Transformers 4.36.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0