readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: noinfo
  datasets:
  - totonac
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/ftshijt_espnet2_asr_totonac_transformer`
  
  This model was trained by ftshijt using totonac recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  
  pip install -e .
  cd els/totonac/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/ftshijt_espnet2_asr_totonac_transformer
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Sun Nov  7 09:22:09 EST 2021`
  - python version: `3.9.7 (default, Sep 16 2021, 13:09:58)  [GCC 7.5.0]`
  - espnet version: `espnet 0.10.4a1`
  - pytorch version: `pytorch 1.9.0`
  - Git hash: ``
    - Commit date: ``
  
  ## asr_train_asr_transformer_specaug_raw_bpe250_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|3547|59.8|32.9|7.3|6.5|46.7|87.4|
  |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|5018|55.5|35.7|8.8|6.1|50.6|92.0|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|22510|88.1|4.4|7.4|3.9|15.8|87.4|
  |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|32990|86.9|4.3|8.8|4.0|17.1|92.0|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|9360|70.3|15.8|13.8|4.3|34.0|87.4|
  |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|13835|70.5|16.0|13.6|4.4|33.9|92.0|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_transformer_specaug.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_transformer_specaug_raw_bpe250_sp
  ngpu: 1
  seed: 0
  num_workers: 1
  num_att_plot: 3
  dist_backend: nccl
  dist_init_method: env://
  dist_world_size: null
  dist_rank: null
  local_rank: 0
  dist_master_addr: null
  dist_master_port: null
  dist_launcher: null
  multiprocessing_distributed: false
  unused_parameters: false
  sharded_ddp: false
  cudnn_enabled: true
  cudnn_benchmark: false
  cudnn_deterministic: true
  collect_stats: false
  write_collected_feats: false
  max_epoch: 100
  patience: 15
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - acc
      - max
  keep_nbest_models: 10
  grad_clip: 5
  grad_clip_type: 2.0
  grad_noise: false
  accum_grad: 2
  no_forward_run: false
  resume: true
  train_dtype: float32
  use_amp: false
  log_interval: null
  use_tensorboard: true
  use_wandb: false
  wandb_project: null
  wandb_id: null
  wandb_entity: null
  wandb_name: null
  wandb_model_log_interval: -1
  detect_anomaly: false
  pretrain_path: null
  init_param: []
  ignore_init_mismatch: false
  freeze_param: []
  num_iters_per_epoch: null
  batch_size: 32
  valid_batch_size: null
  batch_bins: 1000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_bpe250_sp/train/speech_shape
  - exp/asr_stats_raw_bpe250_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_bpe250_sp/valid/speech_shape
  - exp/asr_stats_raw_bpe250_sp/valid/text_shape.bpe
  batch_type: folded
  valid_batch_type: null
  fold_length:
  - 80000
  - 150
  sort_in_batch: descending
  sort_batch: descending
  multiple_iterator: false
  chunk_length: 500
  chunk_shift_ratio: 0.5
  num_cache_chunks: 1024
  train_data_path_and_name_and_type:
  -   - /tmp/jiatong-7359.okvPvI3Z/raw/train_sp/wav.scp
      - speech
      - kaldi_ark
  -   - /tmp/jiatong-7359.okvPvI3Z/raw/train_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - /tmp/jiatong-7359.okvPvI3Z/raw/dev/wav.scp
      - speech
      - kaldi_ark
  -   - /tmp/jiatong-7359.okvPvI3Z/raw/dev/text
      - text
      - text
  allow_variable_data_keys: false
  max_cache_size: 0.0
  max_cache_fd: 32
  valid_max_cache_size: null
  optim: adam
  optim_conf:
      lr: 1.0
  scheduler: noamlr
  scheduler_conf:
      warmup_steps: 4000
  token_list:
  - <blank>
  - <unk>
  - ':'
  - ▁N
  - NI
  - N
  - ▁IYMA
  - ▁NA
  - NA
  - ▁WA
  - WA
  - ▁
  - ''''
  - KA
  - ▁MA
  - MA
  - T
  - ▁XA
  - TA
  - NCHU
  - WI
  - ▁LI
  - ▁NI
  - PA
  - YI
  - ▁PUS
  - K
  - ▁PI
  - ▁X
  - S
  - ▁TA
  - YA
  - ▁LA
  - Q
  - QA
  - TI
  - ▁KA
  - QO
  - W
  - ▁KAH
  - ▁PALA
  - H
  - X
  - XA
  - ▁KI
  - A
  - LH
  - I
  - LA
  - ▁CHA
  - ▁A
  - ▁XLI
  - ▁LHI
  - U
  - ▁K
  - KANI
  - KU
  - Y
  - ▁LU
  - Á
  - ▁CHU
  - O
  - KI
  - ▁KIWI
  - NTLA
  - ▁TLA
  - M
  - ▁TAWA
  - ▁TI
  - ▁S
  - WANI
  - CHA
  - LHI
  - LI
  - ▁TU
  - ▁PALHA
  - Í
  - ▁CHANÁ
  - ▁KILHWAMPA
  - KÁN
  - ▁WAYMA
  - E
  - SA
  - ▁E
  - ▁LHU
  - LHA
  - PU
  - ▁LHA
  - ▁PA
  - ▁LAK
  - ▁ANTA
  - ▁KITI
  - NCHÚ
  - SI
  - TLA
  - PI
  - ▁KINI
  - CHI
  - ▁PEROH
  - ▁PU
  - QÓ
  - QALHCHIWINA
  - TU
  - ▁TLHA
  - ▁WI
  - NÁ
  - ▁KAN
  - ▁NAYI
  - CH
  - 'NO'
  - ▁U
  - TSA
  - MÁ
  - NQO
  - ▁ANA
  - ▁LIKWA
  - ▁XTA
  - J
  - ▁QALH
  - TO
  - TÁ
  - ▁USA
  - ▁PORQUE
  - ▁MI
  - L
  - ▁TAWÁ
  - XI
  - LHAQAPASA
  - P
  - CHIWI
  - WÁ
  - NTI
  - ▁JKA
  - Ú
  