Shubhamsaboo/Qwen3-Coder
Nov 2024 – Nov 2024
1 Month active
Languages Used
MarkdownPythonShell
Technical Skills
Code RefactoringData EvaluationData ProcessingDocumentationEvaluation FrameworksMachine Learning
柏枫
PROFILE
柏枫
Developed and delivered two core features for the Shubhamsaboo/Qwen3-Coder repository, focusing on evaluation and benchmarking of machine learning models. Built a comprehensive SQL Evaluation Framework using Python and Shell scripting to assess SQL generation performance on the Spider and Bird datasets, including scripts for task definition, data loading, and evaluation. Refactored the evaluation pipeline to improve maintainability and streamline data processing. Enhanced documentation by adding quantization evaluation results in Markdown, presenting cross-language and cross-task performance metrics for Qwen2.5-Coder-32B quantized variants. These contributions improved benchmarking clarity, reproducibility, and supported data-driven decision-making for model development workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
2,628
Activity Months1
Your Network
384 peopleSame Organization
@alibaba-inc.com369
Work History
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for Shubhamsaboo/Qwen3-Coder: Features delivered include a SQL Evaluation Framework for evaluating SQL generation across Spider and Bird benchmarks, plus data prep updates and refactoring to streamline the evaluation pipeline. Documentation updated to include quantization evaluation results in qwencoder-eval/instruct README, with markdown tables showing performance across languages and tasks for various quantized versions of Qwen2.5-Coder-32B. No major bugs fixed this month. These contributions enhance benchmarking capabilities, reproducibility, and visibility into model performance, enabling data-driven decisions and faster iteration.
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for Shubhamsaboo/Qwen3-Coder: Features delivered include a SQL Evaluation Framework for evaluating SQL generation across Spider and Bird benchmarks, plus data prep updates and refactoring to streamline the evaluation pipeline. Documentation updated to include quantization evaluation results in qwencoder-eval/instruct README, with markdown tables showing performance across languages and tasks for various quantized versions of Qwen2.5-Coder-32B. No major bugs fixed this month. These contributions enhance benchmarking capabilities, reproducibility, and visibility into model performance, enabling data-driven decisions and faster iteration.
November 2024
Activity
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Quality Metrics
Correctness96.6%
Maintainability93.4%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonShell
Technical Skills
Code RefactoringData EvaluationData ProcessingDocumentationEvaluation FrameworksMachine LearningModel EvaluationNatural Language ProcessingSQLShell ScriptingSoftware Engineering
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