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base_model: google/functiongemma-270m-it
tags:
- function-calling
- mobile-actions
- gemma
- flashlight
language:
- en
license: gemma
---
# FunctionGemma 270M — Mobile Actions (Flashlight)
Fine-tuned from [`google/functiongemma-270m-it`](https://huggingface.co/google/functiongemma-270m-it) on the
[Google Mobile Actions](https://huggingface.co/datasets/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
```python
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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