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README.md
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- text: "Pelayanan lama dan tidak ramah."
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example_title: "Sentiment analysis"
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---
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### Training hyperparameters
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* train_batch_size: 32
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- text: "Pelayanan lama dan tidak ramah."
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example_title: "Sentiment analysis"
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---
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### Model Details
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This model is a fine-tuned version of [IndoBERT Base Uncased](https://huggingface.co/indolem/indobert-base-uncased), a BERT model pre-trained on Indonesian text data. It was fine-tuned to perform sentiment analysis on Indonesian comments and reviews.
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The model was trained on [indonlu](https://huggingface.co/datasets/indonlp/indonlu) (`SmSA`) datasets.
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The model classifies a given Indonesian review text into one of three categories:
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* Negative
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* Neutral
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* Positive
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### Training hyperparameters
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* train_batch_size: 32
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