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allow_cache: true
batch_size: 16
config: ./examples/fastspeech2/conf/fastspeech2.v1.yaml
delay_f0_energy_steps: 3
dev_dir: ./dump/valid
energy_stat: ./dump/stats_energy.npy
eval_interval_steps: 500
f0_stat: ./dump/stats_f0.npy
model_type: fastspeech2
fastspeech2_params:
n_speakers: 1
encoder_hidden_size: 384
encoder_num_hidden_layers: 4
encoder_num_attention_heads: 2
encoder_attention_head_size: 192
encoder_intermediate_size: 1024
encoder_intermediate_kernel_size: 3
encoder_hidden_act: "mish"
decoder_hidden_size: 384
decoder_num_hidden_layers: 4
decoder_num_attention_heads: 2
decoder_attention_head_size: 192
decoder_intermediate_size: 1024
decoder_intermediate_kernel_size: 3
decoder_hidden_act: "mish"
variant_prediction_num_conv_layers: 2
variant_predictor_filter: 256
variant_predictor_kernel_size: 3
variant_predictor_dropout_rate: 0.5
num_mels: 80
hidden_dropout_prob: 0.2
attention_probs_dropout_prob: 0.1
max_position_embeddings: 2048
initializer_range: 0.02
output_attentions: False
output_hidden_states: False
format: npy
hop_size: 256
is_shuffle: true
log_interval_steps: 200
mel_length_threshold: 32
mixed_precision: true
num_save_intermediate_results: 1
optimizer_params:
decay_steps: 150000
end_learning_rate: 5.0e-05
initial_learning_rate: 0.001
warmup_proportion: 0.02
weight_decay: 0.001
outdir: ./examples/fastspeech2/exp/train.fastspeech2.v4
pretrained_model: null
remove_short_samples: true
resume: ''
save_interval_steps: 5000
start_training_f0_energy_steps: 25000
train_dir: ./dump/train
train_max_steps: 200000
use_norm: true
verbose: 1
version: 0.6.1
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