# https://yaml.org/type/float.html data: train_manifest: data/manifest.train dev_manifest: data/manifest.dev test_manifest: data/manifest.test mean_std_filepath: data/mean_std.json vocab_filepath: data/vocab.txt augmentation_config: conf/augmentation.json batch_size: 64 # one gpu min_input_len: 0.0 max_input_len: 27.0 # second min_output_len: 0.0 max_output_len: .inf min_output_input_ratio: 0.00 max_output_input_ratio: .inf specgram_type: linear target_sample_rate: 16000 max_freq: None n_fft: None stride_ms: 10.0 window_ms: 20.0 delta_delta: False dither: 1.0 use_dB_normalization: True target_dB: -20 random_seed: 0 keep_transcription_text: False sortagrad: True shuffle_method: batch_shuffle num_workers: 0 model: num_conv_layers: 2 num_rnn_layers: 3 rnn_layer_size: 1024 use_gru: True share_rnn_weights: False training: n_epoch: 50 lr: 2e-3 lr_decay: 0.83 weight_decay: 1e-06 global_grad_clip: 3.0 log_interval: 100 decoding: batch_size: 128 error_rate_type: cer decoding_method: ctc_beam_search lang_model_path: data/lm/zh_giga.no_cna_cmn.prune01244.klm alpha: 1.9 beta: 5.0 beam_size: 300 cutoff_prob: 0.99 cutoff_top_n: 40 num_proc_bsearch: 10