FunctionGemma 270M โ€” Mobile Actions (Flashlight)

Fine-tuned from google/functiongemma-270m-it on the Google Mobile Actions dataset, filtered to flashlight related samples (1,509 train / 175 eval).

Training Details

Setting Value
Base model google/functiongemma-270m-it
Dataset google/mobile-actions
Filter flashlight samples only
Train samples 1,509
Eval samples 175
Epochs 2
Batch size 4 (effective 32)
Optimizer AdamW (fused)
Precision BF16 + TF32
Train loss 0.023
Eval loss 0.0084
Token accuracy 99.72%

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

model     = AutoModelForCausalLM.from_pretrained("arunkumar629/functiongemma-270m-it-mobile-actions")
tokenizer = AutoTokenizer.from_pretrained("arunkumar629/functiongemma-270m-it-mobile-actions")
pipe      = pipeline("text-generation", model=model, tokenizer=tokenizer)
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