---
license: gemma
language:
- en
base_model: kth8/gemma-3-270m-it-JSON-Fixer
datasets:
- kth8/json-fix-25000x
pipeline_tag: text-generation
library_name: transformers
tags:
- sft
- trl
- unsloth
- google
- gemma
- gemma3
- gemma3_text
---
![logo](https://storage.googleapis.com/gweb-developer-goog-blog-assets/images/gemma-3_2.original.png)
A fine-tune of [unsloth/gemma-3-270m-it](https://huggingface.co/unsloth/gemma-3-270m-it) on the [kth8/json-fix-25000x](https://huggingface.co/datasets/kth8/json-fix-25000x) 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**
```
The JSON is:\n[{\"name\":\"John Doe\", \"jobTitle\":Software Engineer, \"department\": \"Research and Development\"],, {\"name\"\"Jane Smith\", \"jobTitle\":\"Data Analyst', \"department\":\"Marketing and Sales\"}, ]    //\" comment\n-- end --
```
**Assistant response**
```
[
  {
    "name": "John Doe",
    "jobTitle": "Software Engineer",
    "department": "Research and Development"
  },
  {
    "name": "Jane Smith",
    "jobTitle": "Data Analyst",
    "department": "Marketing and Sales"
  }
]
```
## Model Details
- Base Model: `unsloth/gemma-3-270m-it`
- Parameter Count: 268,098,176
- Precision: torch.bfloat16

### Hardware
- GPU: NVIDIA RTX PRO 6000 Blackwell Server Edition
- Announced: Mar 17th, 2025
- Release Date: Mar 18th, 2025
- Memory Type: GDDR7
- Bandwidth: 1.79 TB/s
- Memory Size: 96 GB
- Memory Bus: 512 bit
- Shading Units: 24064
- TDP: 600W
- FP16 (half): 126.0 TFLOPS (1:1)

## Training Settings
### PEFT
- Rank: 32
- LoRA alpha: 64
- Modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
- Gradient checkpointing: unsloth

### SFT
- Epoch: 2
- Batch size: 32
- Gradient Accumulation steps: 1
- Warmup ratio: 0.05
- Learning rate: 0.0004
- Optimizer: adamw_torch_fused
- Learning rate scheduler: cosine
- Max seq length: 2048

## Training stats
- Date: 2026-03-23T04:39:38.019077
- Peak VRAM usage: 64.5 GB
- Global step: 1538
- Training runtime (seconds): 1142.9274
- Average training loss: 0.004019292104312295
- Final validation loss: 0.0014343492221087217

## Framework versions
- Unsloth: 2026.3.10
- TRL: 0.22.2
- Transformers: 4.56.2
- Pytorch: 2.10.0+cu128
- Datasets: 4.8.3
- Tokenizers: 0.22.2

## License
This model is released under the Gemma license. See the [Gemma Terms of Use](https://ai.google.dev/gemma/terms) and [Prohibited Use Policy](https://policies.google.com/terms/generative-ai/use-policy) regarding the use of Gemma-generated content.