gemma-3-27b-it-lora-sarrarp50-gesture

Gemma 3 27B-it LoRA — SAR-RARP50 suturing gestures

LoRA adapter plus a 8-way linear classification head on google/gemma-3-27b-it, fine-tuned for single-label suturing-gesture recognition on SAR-RARP50 frames.

This is the “Gemma 3 27B fine-tuned” row on the Skill assessment tab of the SDSC × Chicago Booth surgical video understanding leaderboard.

Prompt example

This closed-set example mirrors the leaderboard format, not a text-input API for this checkpoint.

[surgical frame]

What suturing action is being performed in this frame?
Choose one label.

- Other
- Picking Up The Needle
- Positioning The Needle Tip
- Pushing The Needle Through The Tissue
- Pulling The Needle Out Of The Tissue
- Tying A Knot
- Cutting The Suture
- Returning Or Dropping The Needle

Files

• adapter_model.safetensors / adapter_config.json — LoRA (r=128, alpha=256) on q/k/v/o_proj and out_proj
• classifier.pt — linear head over the 5376-d hidden state (8 gestures)
• model_config.json — class vocabulary and training hyperparameters

You need the adapter and the classification head; this is not a generative JSON adapter.

Training

• 10 epochs, lr 5e-6, seed 42
• 1,563 training frames / 636 validation frames

Evaluation

Full SAR-RARP50 validation split (95% bootstrap CI):

References

• Skobelev, K., Fithian, E., Baranovski, Y., et al. A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling. arXiv:2603.27341, 2026.
• Dataset: Psychogyios, D., Colleoni, E., Van Amsterdam, B., et al. SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. arXiv:2401.00496, 2024.

Limitations

Research baseline only. Not a medical device.