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Update documentation and feasibility report with results #103
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fine-tuning: student-explainabilityFine-tune Qwen 3.5 for SHAP narrator, summarizer, and explainer tasksFine-tune Qwen 3.5 for SHAP narrator, summarizer, and explainer taskstype:documentationDocumentation improvementsDocumentation improvements
Description
Summary
Update project documentation with actual training results, model selection rationale, and deployment instructions.
Depends On
- Train and evaluate Qwen 3.5-4B + Gemma 4 E4B on Colab #101 (trained + evaluated models)
Tasks
- Update
docs/fine-tuning-feasibility-report.md:- Replace estimates with actual metrics (per-task, per-model-size)
- Add model selection rationale (why 4B or 9B won)
- Add actual training costs
- Update recommended approach based on real results
- Update
CLAUDE.md:- Add MODEL_BACKEND/OLLAMA_BASE_URL/MODEL_SIZE env var documentation
- Add fine-tuned model info to Tech Stack table
- Add training notebook to Key Entry Points
- Update
README.md:- Add fine-tuned model section
- Add Ollama setup instructions
- Update
codebenders-dashboard/DASHBOARD_README.md:- Document MODEL_BACKEND config
- Add SHAP narrator feature description
Acceptance Criteria
- Feasibility report reflects actual results, not estimates
- New developer can set up Ollama + fine-tuned models from README alone
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fine-tuning: student-explainabilityFine-tune Qwen 3.5 for SHAP narrator, summarizer, and explainer tasksFine-tune Qwen 3.5 for SHAP narrator, summarizer, and explainer taskstype:documentationDocumentation improvementsDocumentation improvements