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RIA_Example/.riahub/train_configs/train.yaml

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data:
batch_size: 32
dataset_params:
iq_key: iq_data
label_key: impairment
metadata_key: metadata/metadata
snr_key: Z
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drop_last: true
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kind: iq_h5_auto
num_workers: 4
persistent_workers: false
pin_memory: true
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test_path: /opt/qmb/riahub/dataset/qoherent/pluto-interference-recognition-demo/main/test.h5
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test_split: 0
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train_path: /opt/qmb/riahub/dataset/qoherent/pluto-interference-recognition-demo/main/train.h5
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validation_split: 0
evaluation:
capture_predictions: true
enabled: true
params:
save_confusion: true
split: test
export:
dynamic_batch: true
dynamic_width: false
enabled: true
file_name: model.onnx
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opset_version: 23
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strict: false
use_dynamo: true
use_onnxsim: false
model:
name: iq_mobilenetv3
params:
model_size: mobilenetv3_small_050
optimization:
loss:
name: cross_entropy
params: {}
optimizer:
name: adam
params:
amsgrad: false
eps: 1e-08
lr: 0.001
weight_decay: 0
runtime:
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amp_enabled: true
autocast_dtype: float16
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checkpoint_every_n_epochs: 1
component_modules: []
device: auto
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epochs: 10
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progress_bar: false
seed: 42
task:
name: classification
params:
save_artifacts: true
selection_metric: accuracy
selection_mode: max