batch_size: 16 accum_grad: 128 max_epoch: 150 patience: none # The initialization method for model parameters init: xavier_uniform best_model_criterion: - - valid - acc_asr # - max keep_nbest_models: 10 encoder: conformer encoder_conf: output_size: 512 attention_heads: 8 linear_units: 2048 num_blocks: 12 dropout_rate: 0.1 positional_dropout_rate: 0.1 attention_dropout_rate: 0.1 input_layer: conv2d normalize_before: true macaron_style: true rel_pos_type: latest pos_enc_layer_type: rel_pos selfattention_layer_type: rel_selfattn activation_type: swish use_cnn_module: true cnn_module_kernel: 31 interctc_layer_idx: [6] decoder: multi_transformer #mlm decoder_conf: attention_heads: 8 linear_units: 2048 num_blocks: 6 dropout_rate: 0.1 positional_dropout_rate: 0.1 self_attention_dropout_rate: 0.1 src_attention_dropout_rate: 0.1 return_hidden: true subtitle_encoder: transformer subtitle_encoder_conf: output_size: 512 attention_heads: 8 linear_units: 2048 num_blocks: 6 dropout_rate: 0.1 positional_dropout_rate: 0.1 attention_dropout_rate: 0.1 input_layer: none normalize_before: true macaron_style: true subtitle_decoder: multi_transformer subtitle_decoder_conf: attention_heads: 8 linear_units: 2048 num_blocks: 6 dropout_rate: 0.1 positional_dropout_rate: 0.1 self_attention_dropout_rate: 0.1 src_attention_dropout_rate: 0.1 model_conf: asr_weight: 0.5 subs_weight: 0.5 ctc_weight: 0.3 # = CTC weight interctc_weight: 0.3 lsm_weight_asr: 0.1 lsm_weight_mt: 0.1 length_normalized_loss: false condition_subtitle_decoder: true condition_asr_decoder: true use_asr_feats: "encoder" optim: adam optim_conf: lr: 0.003 scheduler: warmuplr scheduler_conf: warmup_steps: 100000 specaug: specaug specaug_conf: apply_time_warp: true time_warp_window: 5 time_warp_mode: bicubic apply_freq_mask: true freq_mask_width_range: - 0 - 30 num_freq_mask: 2 apply_time_mask: true time_mask_width_range: - 0 - 40 num_time_mask: 2