JobBERT-v2

This is a sentence-transformers model specifically trained for job title matching and similarity. It's finetuned from sentence-transformers/all-mpnet-base-v2 on a large dataset of job titles and their associated skills/requirements. The model maps job titles and descriptions to a 1024-dimensional dense vector space and can be used for semantic job title matching, job similarity search, and related HR/recruitment tasks. - **Model Type:** Sentence Transformer - **Base model:** sentence-transformers/all-mpnet-base-v2 - **Maximum Sequence Length:** 64 tokens - **Output Dimensionality:** 1024 tokens - **Similarity Function:** Cosine Similarity - **Training Dataset:** 5.5M+ job title - skills pairs - **Primary Use Case:** Job title matching and similarity - **Performance:** Achieves 0.6457 MAP on TalentCLEF benchmark - **Documentation:** Sentence Transformers Documentation - **Repository:** Sentence Transformers on GitHub - **Hugging Face:** Sentence Transformers on Hugging Face

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