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adamW_1e-4.yml
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adamW_1e-4.yml
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description: v9.7 running on best v7.4.1 model/resnet-pretrained-melspec-smoothing-reg + use scheduler + default sampler
model:
name: classification
type: binary
batch_size: 128
epochs: 200
optimizer:
name: AdamW
args:
lr: 0.00001
weight_decay: 0.001
scheduler:
name: StepLR
update: epoch
params:
step_size: 10
gamma: 0.95
loss:
train:
name: cross-entropy
params:
reduction: none
val:
name: cross-entropy
params:
reduction: none
classes:
- non-covid
- covid
save:
period: 1
monitor: specificity
monitor_mode: max
load:
version: cough-detection/flusense/resnet18-coughnet-db-melspec
epoch: 167
load_best: False
resume_optimizer: false
eval:
maximize_metric: specificity
maximize_mode: val
aggregate:
train: {}
val:
method: median
at: softmax
subset_tracker:
val:
- name: wiai-facility
version: v9.7
mode: val
network:
name: neural_net
params:
config:
- name: resnet18
params:
in_channels: 1
pretrained: true
- name: AdaptiveAvgPool2d
params:
output_size:
- 1
- 1
- name: Flatten
params: {}
- name: Dropout
params:
p: 0.4
- name: Linear
params:
in_features: 512
out_features: 256
- name: ReLU
params: {}
- name: Dropout
params:
p: 0.4
- name: Linear
params:
in_features: 256
out_features: 128
- name: ReLU
params: {}
- name: Dropout
params:
p: 0.4
- name: Linear
params:
in_features: 128
out_features: 2
data:
raw_waveform: false
target_transform:
name: classification
params:
classes:
- covid
signal_transform:
train:
- name: Resample
params:
orig_freq: 44100
new_freq: 16000
- name: RandomCrop
params:
crop_size: 32000
pad_mode: zero
- name: BackgroundNoise
augmentation: true
params:
dataset_config:
- name: esc-50
version: default
mode: all
min_noise_scale: 0.4
max_noise_scale: 0.75
- name: Spectrogram
params:
n_fft: 512
win_length: 512
hop_length: 160
- name: MelScale
params:
n_mels: 64
sample_rate: 16000
f_min: 125
f_max: 7500
- name: AmplitudeToDB
params: {}
- name: TimeMasking
augmentation: true
params:
max_len: 50
max_num: 2
- name: FrequencyMasking
augmentation: true
params:
max_len: 50
max_num: 2
- name: Rescale
params:
value: 100
- name: Unsqueeze
params: {}
val:
- name: Resample
params:
orig_freq: 44100
new_freq: 16000
- name: FixedPad
params:
target_size: 32000
- name: Spectrogram
params:
n_fft: 512
win_length: 512
hop_length: 160
- name: MelScale
params:
n_mels: 64
sample_rate: 16000
f_min: 125
f_max: 7500
- name: AmplitudeToDB
params: {}
- name: Rescale
params:
value: 100
- name: Unsqueeze
params: {}
dataset:
name: classification_dataset
config:
- name: wiai-facility
version: v9.7
params:
train: {}
val:
as_frames: True
frame_length: 2000
min_length: 2000
hop_length: 500
sampler:
train:
name: classification
params:
mode: default
val:
name: default
collate_fn:
name: classification_collate
params: {}