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Fine-Tune High Performance Sentence Transformers With Multiple Negatives Ranking

James Briggs via YouTube

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This course explains multiple negatives ranking loss for training high-quality sentence transformers. It covers NLI data preprocessing and implementations in PyTorch and the Sentence Transformers library, concluding with semantic similarity evaluation.

Syllabus

Intro
NLI Training Data
Preprocessing
SBERT Finetuning Visuals
MNR Loss Visual
MNR in PyTorch
MNR in Sentence Transformers
Results
Outro

Taught by

James Briggs

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