beifen
This commit is contained in:
213
model_training_nnn/trained_models/baseline_rnn/training_log
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213
model_training_nnn/trained_models/baseline_rnn/training_log
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2025-10-12 09:32:47,330: Using device: cpu
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2025-10-12 09:33:20,119: torch.compile disabled for new TripleGRUDecoder compatibility
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2025-10-12 09:33:20,120: Initialized RNN decoding model
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2025-10-12 09:33:20,120: Model type: <class 'rnn_model.TripleGRUDecoder'>
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2025-10-12 09:33:20,120: Model is callable: True
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2025-10-12 09:33:20,120: Model has forward method: True
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2025-10-12 09:33:20,120: TripleGRUDecoder(
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(noise_model): NoiseModel(
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(day_layer_activation): Softsign()
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(day_weights): ParameterList(
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(0): Parameter containing: [torch.float32 of size 512x512]
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(1): Parameter containing: [torch.float32 of size 512x512]
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(2): Parameter containing: [torch.float32 of size 512x512]
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(3): Parameter containing: [torch.float32 of size 512x512]
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(4): Parameter containing: [torch.float32 of size 512x512]
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(5): Parameter containing: [torch.float32 of size 512x512]
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(6): Parameter containing: [torch.float32 of size 512x512]
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(7): Parameter containing: [torch.float32 of size 512x512]
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(8): Parameter containing: [torch.float32 of size 512x512]
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(9): Parameter containing: [torch.float32 of size 512x512]
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(10): Parameter containing: [torch.float32 of size 512x512]
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(11): Parameter containing: [torch.float32 of size 512x512]
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(12): Parameter containing: [torch.float32 of size 512x512]
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(13): Parameter containing: [torch.float32 of size 512x512]
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(14): Parameter containing: [torch.float32 of size 512x512]
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(15): Parameter containing: [torch.float32 of size 512x512]
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(16): Parameter containing: [torch.float32 of size 512x512]
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(17): Parameter containing: [torch.float32 of size 512x512]
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(18): Parameter containing: [torch.float32 of size 512x512]
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(19): Parameter containing: [torch.float32 of size 512x512]
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(20): Parameter containing: [torch.float32 of size 512x512]
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(21): Parameter containing: [torch.float32 of size 512x512]
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(22): Parameter containing: [torch.float32 of size 512x512]
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(23): Parameter containing: [torch.float32 of size 512x512]
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(24): Parameter containing: [torch.float32 of size 512x512]
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(25): Parameter containing: [torch.float32 of size 512x512]
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(26): Parameter containing: [torch.float32 of size 512x512]
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(27): Parameter containing: [torch.float32 of size 512x512]
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(28): Parameter containing: [torch.float32 of size 512x512]
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(29): Parameter containing: [torch.float32 of size 512x512]
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(30): Parameter containing: [torch.float32 of size 512x512]
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(31): Parameter containing: [torch.float32 of size 512x512]
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(32): Parameter containing: [torch.float32 of size 512x512]
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(33): Parameter containing: [torch.float32 of size 512x512]
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(34): Parameter containing: [torch.float32 of size 512x512]
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(35): Parameter containing: [torch.float32 of size 512x512]
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(36): Parameter containing: [torch.float32 of size 512x512]
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(37): Parameter containing: [torch.float32 of size 512x512]
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(38): Parameter containing: [torch.float32 of size 512x512]
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(39): Parameter containing: [torch.float32 of size 512x512]
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(40): Parameter containing: [torch.float32 of size 512x512]
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(41): Parameter containing: [torch.float32 of size 512x512]
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(42): Parameter containing: [torch.float32 of size 512x512]
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(43): Parameter containing: [torch.float32 of size 512x512]
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(44): Parameter containing: [torch.float32 of size 512x512]
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)
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(day_biases): ParameterList(
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(0): Parameter containing: [torch.float32 of size 1x512]
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(1): Parameter containing: [torch.float32 of size 1x512]
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(2): Parameter containing: [torch.float32 of size 1x512]
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(3): Parameter containing: [torch.float32 of size 1x512]
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(4): Parameter containing: [torch.float32 of size 1x512]
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(5): Parameter containing: [torch.float32 of size 1x512]
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(6): Parameter containing: [torch.float32 of size 1x512]
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(7): Parameter containing: [torch.float32 of size 1x512]
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(8): Parameter containing: [torch.float32 of size 1x512]
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(9): Parameter containing: [torch.float32 of size 1x512]
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(10): Parameter containing: [torch.float32 of size 1x512]
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(11): Parameter containing: [torch.float32 of size 1x512]
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(12): Parameter containing: [torch.float32 of size 1x512]
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(13): Parameter containing: [torch.float32 of size 1x512]
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(14): Parameter containing: [torch.float32 of size 1x512]
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(15): Parameter containing: [torch.float32 of size 1x512]
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(16): Parameter containing: [torch.float32 of size 1x512]
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(17): Parameter containing: [torch.float32 of size 1x512]
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(18): Parameter containing: [torch.float32 of size 1x512]
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(19): Parameter containing: [torch.float32 of size 1x512]
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(20): Parameter containing: [torch.float32 of size 1x512]
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(21): Parameter containing: [torch.float32 of size 1x512]
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(22): Parameter containing: [torch.float32 of size 1x512]
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(23): Parameter containing: [torch.float32 of size 1x512]
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(24): Parameter containing: [torch.float32 of size 1x512]
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(25): Parameter containing: [torch.float32 of size 1x512]
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(26): Parameter containing: [torch.float32 of size 1x512]
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(27): Parameter containing: [torch.float32 of size 1x512]
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(28): Parameter containing: [torch.float32 of size 1x512]
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(29): Parameter containing: [torch.float32 of size 1x512]
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(30): Parameter containing: [torch.float32 of size 1x512]
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(31): Parameter containing: [torch.float32 of size 1x512]
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(32): Parameter containing: [torch.float32 of size 1x512]
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(33): Parameter containing: [torch.float32 of size 1x512]
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(34): Parameter containing: [torch.float32 of size 1x512]
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(35): Parameter containing: [torch.float32 of size 1x512]
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(36): Parameter containing: [torch.float32 of size 1x512]
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(37): Parameter containing: [torch.float32 of size 1x512]
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(38): Parameter containing: [torch.float32 of size 1x512]
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(39): Parameter containing: [torch.float32 of size 1x512]
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(40): Parameter containing: [torch.float32 of size 1x512]
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(41): Parameter containing: [torch.float32 of size 1x512]
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(42): Parameter containing: [torch.float32 of size 1x512]
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(43): Parameter containing: [torch.float32 of size 1x512]
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(44): Parameter containing: [torch.float32 of size 1x512]
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)
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(day_layer_dropout): Dropout(p=0.2, inplace=False)
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(gru): GRU(7168, 7168, num_layers=2, batch_first=True, dropout=0.4)
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)
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(clean_speech_model): CleanSpeechModel(
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(day_layer_activation): Softsign()
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(day_weights): ParameterList(
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(0): Parameter containing: [torch.float32 of size 512x512]
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(1): Parameter containing: [torch.float32 of size 512x512]
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(2): Parameter containing: [torch.float32 of size 512x512]
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(3): Parameter containing: [torch.float32 of size 512x512]
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(4): Parameter containing: [torch.float32 of size 512x512]
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(5): Parameter containing: [torch.float32 of size 512x512]
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(6): Parameter containing: [torch.float32 of size 512x512]
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(7): Parameter containing: [torch.float32 of size 512x512]
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(8): Parameter containing: [torch.float32 of size 512x512]
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(9): Parameter containing: [torch.float32 of size 512x512]
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(10): Parameter containing: [torch.float32 of size 512x512]
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(11): Parameter containing: [torch.float32 of size 512x512]
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(12): Parameter containing: [torch.float32 of size 512x512]
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(13): Parameter containing: [torch.float32 of size 512x512]
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(14): Parameter containing: [torch.float32 of size 512x512]
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(15): Parameter containing: [torch.float32 of size 512x512]
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(16): Parameter containing: [torch.float32 of size 512x512]
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(17): Parameter containing: [torch.float32 of size 512x512]
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(18): Parameter containing: [torch.float32 of size 512x512]
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(19): Parameter containing: [torch.float32 of size 512x512]
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(20): Parameter containing: [torch.float32 of size 512x512]
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(21): Parameter containing: [torch.float32 of size 512x512]
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(22): Parameter containing: [torch.float32 of size 512x512]
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(23): Parameter containing: [torch.float32 of size 512x512]
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(24): Parameter containing: [torch.float32 of size 512x512]
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(25): Parameter containing: [torch.float32 of size 512x512]
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(26): Parameter containing: [torch.float32 of size 512x512]
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(27): Parameter containing: [torch.float32 of size 512x512]
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(28): Parameter containing: [torch.float32 of size 512x512]
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(29): Parameter containing: [torch.float32 of size 512x512]
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(30): Parameter containing: [torch.float32 of size 512x512]
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(31): Parameter containing: [torch.float32 of size 512x512]
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(32): Parameter containing: [torch.float32 of size 512x512]
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(33): Parameter containing: [torch.float32 of size 512x512]
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(34): Parameter containing: [torch.float32 of size 512x512]
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(35): Parameter containing: [torch.float32 of size 512x512]
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(36): Parameter containing: [torch.float32 of size 512x512]
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(37): Parameter containing: [torch.float32 of size 512x512]
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(38): Parameter containing: [torch.float32 of size 512x512]
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(39): Parameter containing: [torch.float32 of size 512x512]
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(40): Parameter containing: [torch.float32 of size 512x512]
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(41): Parameter containing: [torch.float32 of size 512x512]
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(42): Parameter containing: [torch.float32 of size 512x512]
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(43): Parameter containing: [torch.float32 of size 512x512]
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(44): Parameter containing: [torch.float32 of size 512x512]
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)
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(day_biases): ParameterList(
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(0): Parameter containing: [torch.float32 of size 1x512]
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(1): Parameter containing: [torch.float32 of size 1x512]
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(2): Parameter containing: [torch.float32 of size 1x512]
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(3): Parameter containing: [torch.float32 of size 1x512]
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(4): Parameter containing: [torch.float32 of size 1x512]
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(5): Parameter containing: [torch.float32 of size 1x512]
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(6): Parameter containing: [torch.float32 of size 1x512]
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(7): Parameter containing: [torch.float32 of size 1x512]
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(8): Parameter containing: [torch.float32 of size 1x512]
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(9): Parameter containing: [torch.float32 of size 1x512]
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(10): Parameter containing: [torch.float32 of size 1x512]
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(11): Parameter containing: [torch.float32 of size 1x512]
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(12): Parameter containing: [torch.float32 of size 1x512]
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(13): Parameter containing: [torch.float32 of size 1x512]
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(14): Parameter containing: [torch.float32 of size 1x512]
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(15): Parameter containing: [torch.float32 of size 1x512]
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(16): Parameter containing: [torch.float32 of size 1x512]
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(17): Parameter containing: [torch.float32 of size 1x512]
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(18): Parameter containing: [torch.float32 of size 1x512]
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(19): Parameter containing: [torch.float32 of size 1x512]
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(20): Parameter containing: [torch.float32 of size 1x512]
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(21): Parameter containing: [torch.float32 of size 1x512]
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(22): Parameter containing: [torch.float32 of size 1x512]
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(23): Parameter containing: [torch.float32 of size 1x512]
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(24): Parameter containing: [torch.float32 of size 1x512]
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(25): Parameter containing: [torch.float32 of size 1x512]
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(26): Parameter containing: [torch.float32 of size 1x512]
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(27): Parameter containing: [torch.float32 of size 1x512]
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(28): Parameter containing: [torch.float32 of size 1x512]
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(29): Parameter containing: [torch.float32 of size 1x512]
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(30): Parameter containing: [torch.float32 of size 1x512]
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(31): Parameter containing: [torch.float32 of size 1x512]
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(32): Parameter containing: [torch.float32 of size 1x512]
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(33): Parameter containing: [torch.float32 of size 1x512]
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(34): Parameter containing: [torch.float32 of size 1x512]
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(35): Parameter containing: [torch.float32 of size 1x512]
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(36): Parameter containing: [torch.float32 of size 1x512]
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(37): Parameter containing: [torch.float32 of size 1x512]
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(38): Parameter containing: [torch.float32 of size 1x512]
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(39): Parameter containing: [torch.float32 of size 1x512]
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(40): Parameter containing: [torch.float32 of size 1x512]
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(41): Parameter containing: [torch.float32 of size 1x512]
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(42): Parameter containing: [torch.float32 of size 1x512]
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(43): Parameter containing: [torch.float32 of size 1x512]
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(44): Parameter containing: [torch.float32 of size 1x512]
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)
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(day_layer_dropout): Dropout(p=0.2, inplace=False)
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(gru): GRU(7168, 768, num_layers=3, batch_first=True, dropout=0.4)
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(out): Linear(in_features=768, out_features=41, bias=True)
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)
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(noisy_speech_model): NoisySpeechModel(
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(gru): GRU(7168, 768, num_layers=2, batch_first=True, dropout=0.4)
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(out): Linear(in_features=768, out_features=41, bias=True)
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)
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)
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2025-10-12 09:33:20,124: Model has 687,568,466 parameters
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2025-10-12 09:33:20,124: Model has 23,639,040 day-specific parameters | 3.44% of total parameters
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