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This video demonstrates how to fine-tune Sentence-BERT/Sentence Transformers to generate sentence embeddings using NLI softmax classification loss. It covers sentence-pair preprocessing, a manual PyTorch training loop, the Sentence Transformers library, and qualitative result comparison.
Syllabus
Intro
NLI Fine-tuning
Softmax Loss Training Overview
Preprocessing NLI Data
PyTorch Process
Using Sentence-Transformers
Results
Outro
Taught by
James Briggs