Model Card for IndoBERT Sentiment Analysis This model is fine tuned from indobenchmark/indobert base p1 for binary sentiment classification (Positive/Negative) on Indonesian text. Model Details Model Description Developed by: agufsamudra Model type: Text Classification Language(s): Indonesian (id) License: Apache 2.0 Fine tuned from model: indobenchmark/indobert base p1 Model Sources Repository: https://huggingface.co/agufsamudra/indo sentiment analysis Uses Direct Use This model is intended for binary sentiment classification tasks in Indonesian language texts. It predicts whether a given text expresses positive or negative sentiment. Out of Scope Use The model is not designed to classify neutral sentiments or handle languages other than Indonesian. Bias, Risks, and Limitations Bias: The model's performance is reliant on the quality and diversity of the training data. Biases in the dataset may influence predictions. Limitations: The model is limited to binary sentiment analysis and may not perform well on ambiguous or mixed sentiment texts. Recommendations Users should validate predictions on a case by case basis for high stakes applications. How to Get Started with the Model Trai…
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