FunctionGemma PocketAssist v5
Fine-tuned google/functiongemma-270m-it for a personal notification assistant app.
Trained on 300 hand-crafted examples (no synthetic data).
Overall accuracy: 100.0% on held-out evaluation set.
Functions
| Function | Examples | Accuracy |
|---|---|---|
get_digest |
35 | 100% |
get_notes |
30 | 100% |
get_password |
45 | 100% |
help |
30 | 100% |
save_note |
40 | 100% |
save_password |
40 | 100% |
search |
50 | 100% |
status |
30 | 100% |
Training Details
- Base model:
google/functiongemma-270m-it - Framework: Unsloth + TRL SFTTrainer
- LoRA: R=16, α=32
- Epochs: 5 | LR: 0.0002 | seq_len: 512
- Key fix:
train_on_responses_only— loss only on function call tokens - packing=False for clean gradients
Android Deployment
See the .task file companion repo for the MediaPipe-ready model.
Use with MediaPipe LLM Inference API (minSdk=26).
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