Postoperative Patient Sentiment

Model Details

• Base model: cjen1008/distilroberta-healthcare-sentiment
• Task: 3-class sentiment classification
• Labels: negative, mixed/neutral, positive, assigned by two physicians training as orthopedic surgeons

Intended Use

Training

• Fine-tuning set: 400 comments total (200 spine, 200 arthroplasty)
• Hyperparameters: 4 epochs, learning rate 2e-5, batch size 8 (train) / 16 (eval), max length 256

Evaluation (Holdout)

Limitations

• Developed in a specific institutional context; external generalization is not guaranteed.
• Labels are based on human rater judgments and may reflect rater variability.
• Not intended as a standalone clinical decision tool.