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Check out the documentation for more information.
Training Notes (Phase 5)
- Base model: XLM-RoBERTa Large
- Task: Multi-head regression for Sinhala essay scoring
- Dataset: 136 synthetic essays (ChatGPT-generated & scored)
- Validation size: ~20 essays
Results
- Training loss converged: 1.17 → 0.42
- MAE: 1.00
- RMSE: 1.23
- Pearson r: 0.58
Reminder: This model is a feasibility prototype. Future work includes retraining on real teacher-scored essays.
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