mirror of https://github.com/malarinv/tacotron2
hparams.py:rewrite
parent
d0aa9e7d32
commit
1b243d5d5a
19
hparams.py
19
hparams.py
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@ -10,7 +10,7 @@ def create_hparams(hparams_string=None, verbose=False):
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# Experiment Parameters #
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################################
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epochs=500,
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iters_per_checkpoint=500,
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iters_per_checkpoint=1000,
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seed=1234,
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dynamic_loss_scaling=True,
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fp16_run=False,
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@ -24,10 +24,9 @@ def create_hparams(hparams_string=None, verbose=False):
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# Data Parameters #
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################################
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load_mel_from_disk=False,
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training_files='filelists/ljs_audio_text_train_filelist.txt',
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validation_files='filelists/ljs_audio_text_val_filelist.txt',
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training_files='filelists/ljs_audio22khz_text_train_filelist.txt',
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validation_files='filelists/ljs_audio22khz_text_val_filelist.txt',
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text_cleaners=['english_cleaners'],
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sort_by_length=False,
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################################
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# Audio Parameters #
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@ -39,7 +38,7 @@ def create_hparams(hparams_string=None, verbose=False):
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win_length=1024,
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n_mel_channels=80,
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mel_fmin=0.0,
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mel_fmax=None, # if None, half the sampling rate
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mel_fmax=8000.0,
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################################
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# Model Parameters #
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@ -57,7 +56,9 @@ def create_hparams(hparams_string=None, verbose=False):
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decoder_rnn_dim=1024,
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prenet_dim=256,
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max_decoder_steps=1000,
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gate_threshold=0.6,
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gate_threshold=0.5,
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p_attention_dropout=0.1,
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p_decoder_dropout=0.1,
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# Attention parameters
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attention_rnn_dim=1024,
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@ -78,9 +79,9 @@ def create_hparams(hparams_string=None, verbose=False):
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use_saved_learning_rate=False,
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learning_rate=1e-3,
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weight_decay=1e-6,
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grad_clip_thresh=1,
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batch_size=48,
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mask_padding=False # set model's padded outputs to padded values
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grad_clip_thresh=1.0,
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batch_size=64,
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mask_padding=True # set model's padded outputs to padded values
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)
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if hparams_string:
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