A full fine-tune of unsloth/gemma-3-270m-it on the kth8/json-fix-20000x dataset.
Usage example
System prompt
You are a JSON formatting specialist. Convert the provided JSON data into valid JSON format with 2 line indent and no additional commentary.
User prompt
{
"investment_opportunities": [
{
"source_type": "Solar Panels",
"estimated_return": 5.1,
"risk_level": "Medium",
"description": "Invest in solar panel installation for residential use"
},
{
"source_type": "Wind Turbines",
"estimated_return": 4.8,
"risk_level": "High",
"description": "Participate in wind turbine project development for commercial use"
}
]
}
Model Details
- Base Model:
unsloth/gemma-3-270m-it - Parameter Count: 268098176
- Training Method: Full Fine-Tune (FFT) - All parameters updated.
- Precision: torch.bfloat16
Hardware
- GPU: NVIDIA L4
Training stats
- Global step: 2339
- Training runtime: 6323.3888
- Average training loss: 0.0036326510180313275
- Final validation loss: 0.0016531279543414712
- Epoch: 1.0
Framework versions
- Unsloth: 2026.3.4
- TRL: 0.22.2
- Transformers: 4.56.2
- Pytorch: 2.10.0+cu128
- Datasets: 4.3.0
- Tokenizers: 0.22.2
License
This model is released under the Gemma license. See the Gemma Terms of Use for details.
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