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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