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