README.md

metadata

language: id
license: apache-2.0
tags:
  - indobert
  - text-classification
  - plagiarism-detection
  - indonesian
  - fine-tuned
pipeline_tag: text-classification
widget:
  - text: Apa pengganti y?
    example_title: Contoh Plagiarisme
  - text: Bagaimana cara belajar Python?
    example_title: Contoh Paraphrase

IndoBERT Plagiarisme Detector

Model IndoBERT-base-p1 fine-tuned untuk deteksi plagiarisme teks bahasa Indonesia (3 kelas):

• LABEL_0 → 🟢 Tidak Mirip
• LABEL_1 → 🟡 Paraphrase
• LABEL_2 → 🔴 Plagiarisme (literal/copy-paste)

Input model: Masukkan dua teks/kalimat (question1 dan question2), model akan prediksi kemiripannya.

Performa

• Accuracy: 78.33% (test set 300 data)
• Dataset: 3000 data balanced + augmentasi sintetik

Cara Pakai di Python

from transformers import pipeline

detector = pipeline("text-classification", model="putraharifin/tubes_deep_learning")
result = detector("Apa pengganti y?", "Apa pengganti y dong")
print(result)  # {'label': 'LABEL_2', 'score': 0.99}