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--- |
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datasets: |
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- bigcode/commitpackft |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen2.5-Coder-1.5B-Instruct |
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--- |
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- **Developed by:** seniruk |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/Qwen2.5-Coder-1.5B-Instruct |
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This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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--- |
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base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- qwen2 |
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- trl |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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--- |
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datasets: |
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- bigcode/commitpackft |
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--- |
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# Purpose |
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Used for generating high quality commit messages for a given git difference |
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### Model Description |
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Generated by fine tuning Qwen2.5-Coder-1.5B-Instruct on bigcode/commitpackft dataset for 2 epochs |
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Trained on a total of 277 Languages |
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Achieved a final training loss in the range of 1- 1.7 (due to data set not containing equal data rows for each language) |
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For common languages(python, java ,javascripts,c etc) loss went for a minimum of 1.0335 |
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## Environmental Impact |
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- **Hardware Type:** geforce RTX 4060 TI - 16GB] |
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- **Hours used:** 10 Hours |
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- **Cloud Provider:** local |
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### Results |
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### Inference input format (If using API mostly) |
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``` |
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<|im_start|>system |
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You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|> |
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<|im_start|>user |
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{instructions} |
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{git_diff}<|im_end|> |
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<|im_start|>assistant |
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``` |
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And the model will predict the rest of the content -> {assistant output}<|im_end|> |
