Purpose
Used for generating high quality commit messages for a given git difference
Model Description
Generated by fine tuning Qwen2.5-Coder-1.5B-Instruct on bigcode/commitpackft dataset for 2 epochs Trained on a total of 277 Languages Achieved a final training loss in the range of 1- 1.7 (due to data set not containing equal data rows for each language) For common languages(python, java ,javascripts,c etc) loss went for a minimum of 1.0335
Environmental Impact
- Hardware Type: geforce RTX 4060 TI - 16GB]
- Hours used: 10 Hours
- Cloud Provider: local
Results
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Inference Providers
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Model tree for seniruk/commitGen-gguf
Base model
Qwen/Qwen2.5-1.5B
Finetuned
Qwen/Qwen2.5-Coder-1.5B
Finetuned
Qwen/Qwen2.5-Coder-1.5B-Instruct