| allow_cache: true | |
| batch_size: 1 | |
| config: ./ttsexamples/tacotron2/conf/tacotron2.v1.yaml | |
| dev_dir: /content/dump_ljspeech/valid | |
| end_ratio_value: 0.0 | |
| eval_interval_steps: 50 | |
| format: npy | |
| gradient_accumulation_steps: 1 | |
| hop_size: 256 | |
| is_shuffle: true | |
| log_interval_steps: 20 | |
| max_char_length: 128 | |
| max_mel_length: 257 | |
| mel_length_threshold: 32 | |
| mixed_precision: false | |
| model_type: tacotron2 | |
| num_save_intermediate_results: 1 | |
| optimizer_params: {decay_steps: 150000, end_learning_rate: 1.0e-05, initial_learning_rate: 0.001, | |
| warmup_proportion: 0.02, weight_decay: 0.001} | |
| outdir: ./ttsexamples/tacotron2/exp/train.tacotron2.v1/ | |
| pretrained: '' | |
| remove_short_samples: true | |
| resume: '' | |
| save_interval_steps: 20 | |
| schedule_decay_steps: 50000 | |
| start_ratio_value: 0.5 | |
| start_schedule_teacher_forcing: 200001 | |
| tacotron2_params: {attention_dim: 128, attention_filters: 32, attention_kernel: 31, | |
| attention_type: lsa, dataset: ljspeech, decoder_lstm_units: 1024, embedding_dropout_prob: 0.1, | |
| embedding_hidden_size: 512, encoder_conv_activation: relu, encoder_conv_dropout_rate: 0.5, | |
| encoder_conv_filters: 512, encoder_conv_kernel_sizes: 5, encoder_lstm_units: 256, | |
| initializer_range: 0.02, n_conv_encoder: 5, n_conv_postnet: 5, n_lstm_decoder: 1, | |
| n_mels: 80, n_prenet_layers: 2, n_speakers: 1, postnet_conv_filters: 512, postnet_conv_kernel_sizes: 5, | |
| postnet_dropout_rate: 0.1, prenet_activation: relu, prenet_dropout_rate: 0.5, prenet_units: 256, | |
| reduction_factor: 1} | |
| train_dir: /content/dump_ljspeech/train | |
| train_max_steps: 200000 | |
| use_fal: false | |
| use_fixed_shapes: true | |
| use_norm: true | |
| var_train_expr: null | |
| verbose: 1 | |
| version: '0.0' | |