histogram.log 1.1 KB

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  1. Update best loss to [0.15411071479320526] and save model
  2. Update best loss to [0.15373645722866058] and save model
  3. Update best loss to [0.1535731554031372] and save model
  4. Update best loss to [0.15355920791625977] and save model
  5. Update best loss to [0.15322202444076538] and save model
  6. Update best loss to [0.1531229466199875] and save model
  7. Update best loss to [0.15309813618659973] and save model
  8. Update best loss to [0.1515544056892395] and save model
  9. Update best loss to [0.14504165947437286] and save model
  10. Update best loss to [0.14167410135269165] and save model
  11. Update best loss to [0.1389864683151245] and save model
  12. Update best loss to [0.13473480939865112] and save model
  13. Update best loss to [0.1314695030450821] and save model
  14. Update best loss to [0.12772320210933685] and save model
  15. Update best loss to [0.12764400243759155] and save model
  16. Update best loss to [0.12634389102458954] and save model
  17. Update best loss to [0.12287367880344391] and save model
  18. Update best loss to [0.12223698198795319] and save model
  19. Update best loss to [0.12172551453113556] and save model
  20. Update best loss to [0.11678452044725418] and save model