intanm / indonesian_financial_sentiment_analysis_2

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Total runs: 17
24-hour runs: 0
7-day runs: -1
30-day runs: 10
Model's Last Updated: March 16 2023
text-classification

Introduction of indonesian_financial_sentiment_analysis_2

Model Details of indonesian_financial_sentiment_analysis_2

indonesian_financial_sentiment_analysis_2

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2069
  • Accuracy: 0.9341
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: 2
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 51 0.2536 0.9341
No log 2.0 102 0.2069 0.9341
Framework versions
  • Transformers 4.27.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2

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17
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0
24-hour runs
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3-day runs
-1
7-day runs
10
30-day runs

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