Files
b2txt25/model_training_nnn/trained_models/baseline_rnn/training_log
2025-10-12 09:35:26 +08:00

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