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general:
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# Run mode. Options are 'prod' or 'dev'.
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run_mode: prod
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dataset:
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input_dir: data/recordings
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num_slices: 8
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train_split: 0.8
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val_split : 0.2
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seed: 25
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modulation_types: [bpsk, qpsk, qam16, qam64]
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output_dir: data/dataset
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training:
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batch_size: 64
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epochs: 50
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learning_rate: 0.001
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2025-05-22 14:42:44 -04:00
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checkpoint_dir: checkpoint_files
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checkpoint_filename: inference_recognition_model
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use_gpu: true
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inference:
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2025-05-22 14:12:54 -04:00
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num_classes: 4
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app:
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build_dir: dist
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