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train_metrics.json 1.9 KB

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  1. {
  2. "gru_model_advanced": {
  3. "mse": {
  4. "train": [
  5. 0.07207482308149338,
  6. 0.037629880011081696,
  7. 0.028901755809783936,
  8. 0.02606913261115551,
  9. 0.02375665120780468,
  10. 0.020741494372487068,
  11. 0.01948770321905613,
  12. 0.019804131239652634,
  13. 0.0186064001172781,
  14. 0.018339529633522034,
  15. 0.018039800226688385,
  16. 0.01769249513745308,
  17. 0.019426142796874046,
  18. 0.017625601962208748,
  19. 0.017466755583882332
  20. ],
  21. "val": [
  22. 0.04710009694099426,
  23. 0.0289116520434618,
  24. 0.026026563718914986,
  25. 0.021987345069646835,
  26. 0.021516982465982437,
  27. 0.01953808218240738,
  28. 0.01800655946135521,
  29. 0.018190927803516388,
  30. 0.018348373472690582,
  31. 0.019342759624123573,
  32. 0.018412580713629723,
  33. 0.017500635236501694,
  34. 0.017856748774647713,
  35. 0.018481839448213577,
  36. 0.01866193488240242
  37. ]
  38. },
  39. "mae": {
  40. "train": [
  41. 0.21443577110767365,
  42. 0.15095259249210358,
  43. 0.12843476235866547,
  44. 0.12234735488891602,
  45. 0.11620096862316132,
  46. 0.10705477744340897,
  47. 0.10374057292938232,
  48. 0.10688202828168869,
  49. 0.10076888650655746,
  50. 0.10015907138586044,
  51. 0.09940291196107864,
  52. 0.09875967353582382,
  53. 0.10352848470211029,
  54. 0.09685274958610535,
  55. 0.09735371917486191
  56. ],
  57. "val": [
  58. 0.17709773778915405,
  59. 0.14072085916996002,
  60. 0.13700343668460846,
  61. 0.12052794545888901,
  62. 0.11851318925619125,
  63. 0.11264205724000931,
  64. 0.10671760141849518,
  65. 0.10741449892520905,
  66. 0.10604880750179291,
  67. 0.10646060854196548,
  68. 0.10742615163326263,
  69. 0.0996653288602829,
  70. 0.10105568915605545,
  71. 0.10749058425426483,
  72. 0.10740145295858383
  73. ]
  74. }
  75. }
  76. }
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