JobBERT-v3

This is a sentence-transformers model specifically trained for job title matching and similarity. It's finetuned from sentence-transformers/paraphrase-multilingual-mpnet-base-v2 on a large dataset of job titles and their associated skills/requirements across multiple languages. The model maps English, Spanish, German and Chinese 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. The model was presented in the paper Multilingual JobBERT for Cross-Lingual Job Title Matching. - **Model Type:** Sentence Transformer - **Base model:** sentence-transformers/paraphrase-multilingual-mpnet-base-v2 - **Maximum Sequence Length:** 64 tokens - **Output Dimensionality:** 1024 dimensions - **Similarity Function:** Cosine Similarity - **Training Dataset:** 4 x 5.2M high-quality job title - skills pairs in English, Spanish, German and Chinese

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