kth8/

gemma-3-270m-it-homeowner-classifier

A supervised fine-tune of unsloth/gemma-3-270m-it on the kth8/homeowner-classification dataset.

Usage example

Classify the homeowner question into a category from the list below.
The answer must be exactly one category name from the list in JSON format.
Choose the best category based on the meaning of the question.

Valid categories:
- appliances
- brick work
- car
- cooking
- doorbell
- electric
- fence
- fountain
- garden lights
- gutters
- hvac
- irrigation
- mosquito
- painting
- pool
- tree service
- water heater
- window service

Model Details

• Base Model: unsloth/gemma-3-270m-it
• Parameter Count: 268,098,176
• Precision: torch.bfloat16

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: 1
• Batch size: 8
• Gradient Accumulation steps: 2
• Learning rate: 0.0002
• Optimizer: adamw_torch_fused
• Learning rate scheduler: cosine
• Warmup steps: 10
• Weight decay: 0.01

Training stats

• Date: 2026-06-17T01:06:10.026211
• GPU: NVIDIA L4
• Peak VRAM usage: 2.205 GB
• Global step: 126
• Training runtime (seconds): 334.7612
• Best validation loss: 0.013801434077322483

Framework versions

• Unsloth: 2026.6.7
• TRL: 0.22.2
• Transformers: 4.56.2
• Pytorch: 2.11.0+cu128
• Datasets: 5.0.0
• Tokenizers: 0.22.2

License