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Hananguyen12/
hana-cv-qa-enhanced

Name: hana-cv-qa-enhanced
Availability: InStock

safetensors

roberta

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Enhanced Hana Nguyen CV Question-Answering Model

This is an enhanced version of the CV QA model with improved accuracy and performance.

Model Performance

Average Confidence Score: 0.3131
High Confidence Answers (>0.7): 20.0%
Base Model: RoBERTa-base fine-tuned on SQuAD 2.0
Training Data: 150+ augmented question-answer pairs

Key Improvements

Enhanced Context Structure: Better organized CV information
Data Augmentation: Question paraphrasing and variations
Better Answer Positioning: Improved answer location in context
Advanced Training: Custom optimizer, learning rate scheduling
Comprehensive Evaluation: Multiple performance metrics

Usage

python

from transformers import pipeline

qa_pipeline = pipeline("question-answering", model="Hananguyen12/hana-cv-qa-enhanced")

result = qa_pipeline(
    question="What is Hana's current research focus?",
    context=context
)

Training Details

Epochs: 5 with early stopping
Batch Size: 4 (with gradient accumulation)
Learning Rate: 3e-5 with warmup
Optimization: AdamW with differential learning rates
Mixed Precision: FP16 training enabled

Supported Question Types

Personal information queries
Technical skills and proficiency levels
Work experience and achievements
Educational background
Research and projects
Contact information