Vibe research and experimentation with huggingface models

[omri374]

DO NOT MERGE, just for reference.

This pull request adds a comprehensive, corrected evaluation and analysis of multiple PII NER models, addressing previous mapping errors and providing actionable recommendations for production use. The update includes new and revised documentation summarizing the corrected results, error analysis, technical details, and guidance for deployment.

Key documentation and analysis improvements:

Complete results and recommendations:

• Added COMPLETE_SUMMARY.md with a full summary of the evaluation process, error analysis, actionable recommendations, and a roadmap for improving PII detection using BERT-base-NER and pattern recognizers.
• Added CORRECTED_FINAL_REPORT.md detailing the impact of corrected entity mappings on model rankings and performance, with technical explanations and final recommendations for model selection.

Supporting documentation structure:

• Created placeholders for DELIVERABLES_SUMMARY.md and ENTITY_ANALYSIS_REPORT.md to organize deliverables and entity-level analysis (content to be added).

Most important changes:

Evaluation Correction and Analysis

• Corrected entity mappings for all evaluated models, dramatically improving the accuracy and fairness of the comparison, especially for DeBERTa-PII and RoBERTa-i2b2.
• Conducted in-depth error analysis, identifying universal and model-specific error patterns, and providing detailed statistics on false negatives and false positives. [1] [2]

Documentation and Recommendations

• Summarized actionable steps for improving PII detection, including pattern recognizer integration, organization deny-lists, and model fine-tuning.
• Outlined a clear decision matrix and roadmap for model selection and further improvement, with estimated performance gains for each recommendation. [1] [2]

Technical Transparency

• Provided technical details on entity mapping schemes, tagging conventions, and deliverables, ensuring reproducibility and clarity for future evaluations.

File Organization

• Added or updated summary and report files to structure the documentation for quick access and deep dives into the evaluation and error analysis. [1] [2] [3]

These changes ensure the evaluation is accurate, actionable, and well-documented for both immediate production use and future development.