histogram.log 1.6 KB

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  1. Update best loss to [0.07599569857120514] and save model
  2. Update best loss to [0.06704698503017426] and save model
  3. Update best loss to [0.059660863131284714] and save model
  4. Update best loss to [0.05721749737858772] and save model
  5. Update best loss to [0.05528746917843819] and save model
  6. Update best loss to [0.05387483909726143] and save model
  7. Update best loss to [0.05139615014195442] and save model
  8. Update best loss to [0.05045817419886589] and save model
  9. Update best loss to [0.04952310770750046] and save model
  10. Update best loss to [0.04559064656496048] and save model
  11. Update best loss to [0.0410730205476284] and save model
  12. Update best loss to [0.04062655568122864] and save model
  13. Update best loss to [0.03811253234744072] and save model
  14. Update best loss to [0.03506152331829071] and save model
  15. Update best loss to [0.03255877643823624] and save model
  16. Update best loss to [0.03180582821369171] and save model
  17. Update best loss to [0.029540779069066048] and save model
  18. Update best loss to [0.02799404412508011] and save model
  19. Update best loss to [0.02721196971833706] and save model
  20. Update best loss to [0.022926028817892075] and save model
  21. Update best loss to [0.022725148126482964] and save model
  22. Update best loss to [0.02219116874039173] and save model
  23. Update best loss to [0.021162400022149086] and save model
  24. Update best loss to [0.021104682236909866] and save model
  25. Update best loss to [0.019286764785647392] and save model
  26. Update best loss to [0.01823485642671585] and save model
  27. Update best loss to [0.018218420445919037] and save model
  28. Update best loss to [0.017042819410562515] and save model