config.yml

allow_cache: true
batch_size: 16
config: ./TensorFlowTTS/examples/lightspeech/conf/lightspeech_swahiliipa.ft.yaml
dataset_config: TensorFlowTTS/preprocess/swahiliipa_preprocess.yaml
dataset_mapping: dump/swahiliipa_mapper.json
dataset_stats: dump/stats.npy
delay_f0_energy_steps: 3
dev_dir: ./dump/valid/
energy_stat: ./dump/stats_energy.npy
eval_batch_size: 16
eval_interval_steps: 5000
f0_stat: ./dump/stats_f0.npy
format: npy
gradient_accumulation_steps: 1
hop_size: 512
is_shuffle: true
lightspeech_params:
  attention_probs_dropout_prob: 0.1
  dataset: swahiliipa
  decoder_attention_head_size: 16
  decoder_hidden_act: mish
  decoder_hidden_size: 256
  decoder_intermediate_kernel_size:
  - 17
  - 21
  - 9
  - 13
  decoder_intermediate_size: 1024
  decoder_num_attention_heads: 2
  decoder_num_hidden_layers: 3
  encoder_attention_head_size: 16
  encoder_hidden_act: mish
  encoder_hidden_size: 256
  encoder_intermediate_kernel_size:
  - 5
  - 25
  - 13
  - 9
  encoder_intermediate_size: 1024
  encoder_num_attention_heads: 2
  encoder_num_hidden_layers: 3
  hidden_dropout_prob: 0.2
  initializer_range: 0.02
  max_position_embeddings: 2048
  n_speakers: 1
  num_mels: 80
  output_attentions: false
  output_hidden_states: false
  variant_prediction_num_conv_layers: 2
  variant_predictor_dropout_rate: 0.5
  variant_predictor_filter: 256
  variant_predictor_kernel_size: 3
log_interval_steps: 200
mel_length_threshold: 32
mixed_precision: true
model_type: lightspeech
num_save_intermediate_results: 1
optimizer_params:
  decay_steps: 150000
  end_learning_rate: 5.0e-05
  initial_learning_rate: 0.0001
  warmup_proportion: 0.02
  weight_decay: 0.001
outdir: ./lightspeech-sw-tz-victoria-ft-vocab-exp-synth-v2
pretrained: lightspeech-mfa-sw-v1/model.h5
remove_short_samples: true
resume: ''
save_interval_steps: 5000
train_dir: ./dump/train/
train_max_steps: 200000
use_norm: true
var_train_expr: null
verbose: 1
version: '0.0'