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timho102003
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cat_dog_classifier

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   prepare:
    4. 

  4.     cmd: python ./src/prepare.py
    5. 

  5.     deps:
    6. 

  6.     - path: ./data/images
    7. 

  7.       md5: f7b6490969d48736787a282f310f4c9b.dir
    8. 

  8.       size: 41161360
    9. 

  9.       nfiles: 1802
    10. 

  10.     - path: ./data/labels.txt
    11. 

  11.       md5: bae15596ad80481a8e223a30e493d52b
    12. 

  12.       size: 9
    13. 

  13.     - path: ./src/prepare.py
    14. 

  14.       md5: 7ac88df001dec8fed59425db81d9538c
    15. 

  15.       size: 1275
    16. 

  16.     params:
    17. 

  17.       params.yaml:
    18. 

  18.         prepare.img_ext: jpg
    19. 

  19.         prepare.train: train.csv
    20. 

  20.         prepare.val: test.csv
    21. 

  21.     outs:
    22. 

  22.     - path: ./data/test.csv
    23. 

  23.       md5: 4fea98ca81038ca73dba6f71961aadf1
    24. 

  24.       size: 36008
    25. 

  25.     - path: ./data/train.csv
    26. 

  26.       md5: a54dfa94f70c54bd0c360755abbce38c
    27. 

  27.       size: 38792
    28. 

  28.   trainval:
    29. 

  29.     cmd: python src/main.py
    30. 

  30.     deps:
    31. 

  31.     - path: ./data/images
    32. 

  32.       md5: f7b6490969d48736787a282f310f4c9b.dir
    33. 

  33.       size: 41161360
    34. 

  34.       nfiles: 1802
    35. 

  35.     - path: ./data/test.csv
    36. 

  36.       md5: 4fea98ca81038ca73dba6f71961aadf1
    37. 

  37.       size: 36008
    38. 

  38.     - path: ./data/train.csv
    39. 

  39.       md5: a54dfa94f70c54bd0c360755abbce38c
    40. 

  40.       size: 38792
    41. 

  41.     - path: ./src/dataset.py
    42. 

  42.       md5: 61ef92beb314cc2ecbd43e6a03844679
    43. 

  43.       size: 953
    44. 

  44.     - path: ./src/main.py
    45. 

  45.       md5: d60ff41c5339744bbf31f560098411ec
    46. 

  46.       size: 7365
    47. 

  47.     - path: ./src/model.py
    48. 

  48.       md5: a2317fe77253f8a37108ce546cdccc58
    49. 

  49.       size: 891
    50. 

  50.     params:
    51. 

  51.       params.yaml:
    52. 

  52.         trainval.batchsize: 8
    53. 

  53.         trainval.epoch: 5
    54. 

  54.         trainval.gpu_type: mps
    55. 

  55.         trainval.img_crop:
    56. 

  56.         - 224
    57. 

  57.         - 224
    58. 

  58.         trainval.img_mean:
    59. 

  59.         - 0.485
    60. 

  60.         - 0.456
    61. 

  61.         - 0.406
    62. 

  62.         trainval.img_resize:
    63. 

  63.         - 256
    64. 

  64.         - 256
    65. 

  65.         trainval.img_rflip_p: 0.5
    66. 

  66.         trainval.img_std:
    67. 

  67.         - 0.229
    68. 

  68.         - 0.224
    69. 

  69.         - 0.225
    70. 

  70.         trainval.loss_type: CrossEntropyLoss
    71. 

  71.         trainval.lr_sched: StepLR
    72. 

  72.         trainval.lr_sched_params:
    73. 

  73.           step_size: 2
    74. 

  74.           gamma: 0.1
    75. 

  75.         trainval.model_type: ResNet18
    76. 

  76.         trainval.n_worker: 0
    77. 

  77.         trainval.opt: SGD
    78. 

  78.         trainval.opt_params:
    79. 

  79.           lr: 0.0005
    80. 

  80.           momentum: 0.9
    81. 

  81.           weight_decay: 0.0005
    82. 

  82.         trainval.train_csv: ./data/train.csv
    83. 

  83.         trainval.val_csv: ./data/test.csv
    84. 

  84.     outs:
    85. 

  85.     - path: ./model/final_model.pth
    86. 

  86.       md5: 617b139721ffd3390a8d0e535d0fe2ca
    87. 

  87.       size: 67706351
    88.
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