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data:
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batch_size: 32
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dataset_params:
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iq_key: iq_data
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label_key: labels
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drop_last: false
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kind: iq_h5
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num_workers: 0
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persistent_workers: false
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pin_memory: false
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test_path: /opt/qmb/riahub/dataset/qoherent/ash_test_demo_repo/main/datasets/test_demo_v1.0.0.h5
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test_split: 0
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train_path: /opt/qmb/riahub/dataset/qoherent/ash_test_demo_repo/main/datasets/train_demo_v1.0.0.h5
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validation_path: /opt/qmb/riahub/dataset/qoherent/ash_test_demo_repo/main/datasets/val_demo_v1.0.0.h5
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validation_split: 0
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evaluation:
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capture_predictions: true
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enabled: true
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params:
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save_confusion: true
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split: test
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export:
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dynamic_batch: true
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dynamic_width: false
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enabled: true
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file_name: demo_model.onnx
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opset_version: 17
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strict: false
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use_dynamo: true
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use_onnxsim: false
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model:
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name: VTCNN1
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params: {}
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optimization:
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loss:
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name: cross_entropy
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params: {}
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optimizer:
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name: adam
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params:
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amsgrad: false
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eps: 1e-08
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lr: 0.001
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weight_decay: 0
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runtime:
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amp_enabled: false
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autocast_dtype: float32
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checkpoint_every_n_epochs: 1
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component_modules:
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- /opt/qmb/riahub/model/src/qmb/models/RadioML/VTCNN1.py
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device: auto
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epochs: 1
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progress_bar: false
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seed: 42
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task:
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name: classification
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params:
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save_artifacts: true
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selection_metric: accuracy
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selection_mode: max
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