Bart Large Cnn Samsum Rescom Finetuned Resume Summarizer 10 Epoch
A text summarization model based on the BART-large architecture, fine-tuned for 10 epochs on an unknown dataset, excelling in generating resume summaries.
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Release Time : 3/8/2022
Model Overview
This model is a text summarization model based on the BART-large architecture, fine-tuned on specific datasets, primarily used for generating high-quality text summaries, especially performing well in resume summarization scenarios.
Model Features
High-Quality Summary Generation
Performs excellently on ROUGE metrics, capable of generating coherent and informative summaries
Resume Summary Optimization
Specifically optimized for resume summarization scenarios (inferred)
Efficient Fine-Tuning
Carefully fine-tuned for 10 epochs, improving task-specific performance while maintaining model generalization
Model Capabilities
Text Summarization Generation
Long Text Compression
Key Information Extraction
Use Cases
Career Development
Resume Summary Generation
Automatically extracts key information from full resumes to generate concise summaries
ROUGE-1 score of 59.58, indicating high summary quality
Content Processing
Document Summarization
Generates concise summaries for long documents
ROUGE-L score of 57.00, showing good coherence
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