distilbert-base-id-finetuned-sentiment

This is a fine-tuned DistilBERT model for sentiment analysis in Indonesian language, trained to classify text into three sentiment categories:

• positive
• neutral
• negative

📝 Model Description

The model was fine-tuned on a custom-labeled sentiment dataset consisting of Indonesian sentences. It can be used for various sentiment analysis tasks, such as:

• Product or service reviews
• Social media sentiment monitoring
• Public opinion analysis

🧪 Training Details

• Base model: DistilBERT-base-indonesian
• Language: Indonesian
• Number of labels: 3
• Dataset: Self-constructed custom dataset
• Task: Text classification → Sentiment analysis