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Update model config in example config
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44
config.yaml
44
config.yaml
@ -79,12 +79,36 @@ labels:
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sigma: 3
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sigma: 3
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model:
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model:
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name: Net2DFast
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input_height: 128
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input_height: 128
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encoder_channels: [1, 32, 64, 128]
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in_channels: 1
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bottleneck_channels: 256
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decoder_channels: [256, 64, 32, 32]
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out_channels: 32
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out_channels: 32
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encoder:
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layers:
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- block_type: FreqCoordConvDown
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out_channels: 32
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- block_type: FreqCoordConvDown
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out_channels: 64
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- block_type: LayerGroup
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layers:
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- block_type: FreqCoordConvDown
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out_channels: 128
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- block_type: ConvBlock
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out_channels: 256
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bottleneck:
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channels: 256
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self_attention: true
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decoder:
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layers:
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- block_type: FreqCoordConvUp
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out_channels: 64
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- block_type: FreqCoordConvUp
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out_channels: 32
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- block_type: LayerGroup
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layers:
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- block_type: FreqCoordConvUp
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out_channels: 32
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- block_type: ConvBlock
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out_channels: 32
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train:
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train:
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batch_size: 8
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batch_size: 8
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@ -104,29 +128,31 @@ train:
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optimizer:
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optimizer:
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learning_rate: 0.001
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learning_rate: 0.001
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t_max: 100
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t_max: 100
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logger:
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logger_type: dvclive
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augmentations:
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augmentations:
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steps:
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steps:
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- augmentation_type: mix
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- augmentation_type: mix_audio
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probability: 0.2
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probability: 0.2
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min_weight: 0.3
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min_weight: 0.3
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max_weight: 0.7
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max_weight: 0.7
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- agumentation_type: echo
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- augmentation_type: add_echo
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probability: 0.2
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probability: 0.2
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max_delay: 0.005
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max_delay: 0.005
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min_weight: 0.0
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min_weight: 0.0
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max_weight: 1.0
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max_weight: 1.0
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- augmentation_type: volume
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- augmentation_type: scale_volume
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probability: 0.2
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probability: 0.2
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min_scaling: 0.0
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min_scaling: 0.0
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max_scaling: 2.0
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max_scaling: 2.0
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- augmentation_type: warp
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- augmentation_type: warp
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probability: 0.2
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probability: 0.2
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delta: 0.04
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delta: 0.04
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- augmentation_type: time_mask
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- augmentation_type: mask_time
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probability: 0.2
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probability: 0.2
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max_perc: 0.05
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max_perc: 0.05
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max_masks: 3
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max_masks: 3
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- augmentation_type: frequency_mask
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- augmentation_type: mask_freq
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probability: 0.2
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probability: 0.2
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max_perc: 0.10
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max_perc: 0.10
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max_masks: 3
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max_masks: 3
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