Is GPL the Future of Sentence Transformers - Generative Pseudo-Labeling Deep Dive

Is GPL the Future of Sentence Transformers - Generative Pseudo-Labeling Deep Dive

James Briggs via YouTube Direct link

MarginMSE Fine-tune Code

16 of 19

16 of 19

MarginMSE Fine-tune Code

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Is GPL the Future of Sentence Transformers - Generative Pseudo-Labeling Deep Dive

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  1. 1 Intro
  2. 2 Semantic Web and Other Uses
  3. 3 Why GPL?
  4. 4 How GPL Works
  5. 5 Query Generation
  6. 6 CORD-19 Dataset and Download
  7. 7 Query Generation Code
  8. 8 Query Generation is Not Perfect
  9. 9 Negative Mining
  10. 10 Negative Mining Implementation
  11. 11 Negative Mining Code
  12. 12 Pseudo-Labeling
  13. 13 Pseudo-Labeling Code
  14. 14 Importance of Pseudo-Labeling
  15. 15 Margin MSE Loss
  16. 16 MarginMSE Fine-tune Code
  17. 17 Choosing Number of Steps
  18. 18 Fast Evaluation
  19. 19 What's Next for Sentence Transformers?

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