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Update 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