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 inside a Markdown JSON block, with no additional commentary.
User prompt
Here are the details you were looking for:
```json
{
'plants': [
{
'name': 'Hostas',
'shade_requirement': 'partial',
'water_requirements': 'medium',
'growing_period': 60
, },
{
'name': 'Heuchera',
'shade_requirement': 'partial',
'water_requirements': 'low',
'growing_period': 90
, },
{
'name': 'Astilbe',
'shade_requirement': 'dappled',
'water_requirements': 'high',
'growing_period': 120
, }
, ]
, }
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: 2210
- Training runtime: 6454.9331
- Training loss: 0.034289208093761075
- Validation loss: 0.013213318936526775
- 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.
- Downloads last month
- 71