histogram.log 2.1 KB

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  1. Update best loss to [0.06351351737976074] and save model
  2. Update best loss to [0.03868604823946953] and save model
  3. Update best loss to [0.029091626405715942] and save model
  4. Update best loss to [0.02241930179297924] and save model
  5. Update best loss to [0.019273582845926285] and save model
  6. Update best loss to [0.01711447723209858] and save model
  7. Update best loss to [0.015183565206825733] and save model
  8. Update best loss to [0.014484851621091366] and save model
  9. Update best loss to [0.01355179026722908] and save model
  10. Update best loss to [0.013086832128465176] and save model
  11. Update best loss to [0.0121310418471694] and save model
  12. Update best loss to [0.012017968110740185] and save model
  13. Update best loss to [0.010884596034884453] and save model
  14. Update best loss to [0.010575473308563232] and save model
  15. Update best loss to [0.010500497184693813] and save model
  16. Update best loss to [0.010135711170732975] and save model
  17. Update best loss to [0.009384393692016602] and save model
  18. Update best loss to [0.009218018501996994] and save model
  19. Update best loss to [0.00896532740443945] and save model
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  21. Update best loss to [0.00834559090435505] and save model
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  24. Update best loss to [0.007119704037904739] and save model
  25. Update best loss to [0.006998723838478327] and save model
  26. Update best loss to [0.006433640606701374] and save model
  27. Update best loss to [0.006250167731195688] and save model
  28. Update best loss to [0.006154096219688654] and save model
  29. Update best loss to [0.005983072333037853] and save model
  30. Update best loss to [0.005977418273687363] and save model
  31. Update best loss to [0.005788182374089956] and save model
  32. Update best loss to [0.005192663986235857] and save model
  33. Update best loss to [0.005171212833374739] and save model
  34. Update best loss to [0.004741491284221411] and save model
  35. Update best loss to [0.0046080430038273335] and save model
  36. Update best loss to [0.004566165618598461] and save model
  37. Update best loss to [0.004414435476064682] and save model