Upload config.yml

config.yml

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+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'