criterion_config:
  kwargs:
    padding_idx: -1
    rate: 0.3
    size: 4264
    smoothing: 0.1
  name: lasr.model.e2e_ctc_att.e2e_loss:E2E_Loss
model_config:
  kwargs:
    ctc_dropout: 0.1
    decoder_attention_dim: 512
    decoder_attention_heads: 8
    decoder_dropout_rate: 0.1
    decoder_input_layer: embed
    decoder_linear_units: 2048
    decoder_num_block: 6
    decoder_self_attention_dropout_rate: 0
    decoder_src_attention_dropout_rate: 0
    encoder_attention_dim: 512
    encoder_attention_dropout_rate: 0
    encoder_attention_heads: 8
    encoder_dropout_rate: 0.1
    encoder_input_layer: conv2d
    encoder_linear_units: 2048
    encoder_num_blocks: 12
    encoder_pos_enc_layer_type: rel_pos
    encoder_selfattention_layer_type: rel_selfattn
    idim: 80
    odim: 4264
  name: lasr.model.e2e_ctc_att.e2e_conformer:E2E_Conformer_CTC
optim_config:
  kwargs:
    betas:
    - 0.9
    - 0.98
  name: torch.optim:Adam
  scheduler:
    kwargs:
      factor: 3
      model_size: 512
      offset: 0
      warm_step: 25000
    name: lasr.modules.optimizer.scheduler:WarmupScheduler
tokenizer_config:
  kwargs:
    dict_path: ./dict.txt
    sc: ''
  name: lasr.data.tokenizer:CharTokenizer