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functiongemma-270m-it-mobile-actions
arunkumar629/functiongemma-270m-it-mobile-actions
functiongemma-270m-it-mobile-actions is a machine learning model from arunkumar629. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
Fine-tuned from google/functiongemma-270m-it on the Google Mobile Actions dataset, filtered to flashlight related samples (1,509 train / 175 eval).
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At a glance
- License
- gemma
- Model type
- gemma3_text
- Access
- Public
- Created
- Mar 18, 2026
- Updated
- Mar 18, 2026
- SHA
- 2d70d9aa
Base models
Model card
From the Hugging Face model README
FunctionGemma 270M — 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)
- Type
- gemma3_text
- License
- gemma
- Languages
- en
- Created
- Mar 18, 2026
- Updated
- Mar 18, 2026