87 lines
1.8 KiB
YAML
87 lines
1.8 KiB
YAML
mode: 'train'
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ARCHITECTURE:
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name: "EfficientNetB0"
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params:
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padding_type : "SAME"
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override_params:
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drop_connect_rate: 0.1
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pretrained_model: ""
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model_save_dir: "./output/"
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classes_num: 1000
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total_images: 1281167
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save_interval: 1
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validate: True
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valid_interval: 1
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epochs: 360
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topk: 5
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image_shape: [3, 224, 224]
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use_ema: True
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ema_decay: 0.9999
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use_aa: True
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ls_epsilon: 0.1
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LEARNING_RATE:
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function: 'ExponentialWarmup'
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params:
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lr: 0.032
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OPTIMIZER:
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function: 'RMSProp'
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params:
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momentum: 0.9
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rho: 0.9
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epsilon: 0.001
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regularizer:
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function: 'L2'
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factor: 0.00001
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TRAIN:
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batch_size: 512
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num_workers: 4
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file_list: "./dataset/ILSVRC2012/train_list.txt"
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data_dir: "./dataset/ILSVRC2012/"
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shuffle_seed: 0
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transforms:
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- DecodeImage:
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to_rgb: True
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channel_first: False
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- RandCropImage:
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size: 224
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interpolation: 2
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- RandFlipImage:
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flip_code: 1
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- AutoAugment:
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- NormalizeImage:
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scale: 1./255.
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: ''
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- ToCHWImage:
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VALID:
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batch_size: 128
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num_workers: 4
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file_list: "./dataset/ILSVRC2012/val_list.txt"
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data_dir: "./dataset/ILSVRC2012/"
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shuffle_seed: 0
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transforms:
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- DecodeImage:
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to_rgb: True
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channel_first: False
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- ResizeImage:
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interpolation: 2
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resize_short: 256
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- CropImage:
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size: 224
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- NormalizeImage:
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scale: 1.0/255.0
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: ''
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- ToCHWImage:
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