readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: noinfo
  datasets:
  - puebla_nahuatl
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/ftshijt_espnet2_asr_puebla_nahuatl_transfer`
  
  This model was trained by ftshijt using puebla_nahuatl recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  
  pip install -e .
  cd els/puebla_nahuatl/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/ftshijt_espnet2_asr_puebla_nahuatl_transfer
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Sun Nov  7 18:16:55 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_hubert_raw_bpe500_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_lm_lm_train_bpe500_valid.loss.ave_asr_model_valid.acc.best/test|10576|90532|77.0|17.0|6.0|3.6|26.6|74.0|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_lm_lm_train_bpe500_valid.loss.ave_asr_model_valid.acc.best/test|10576|590273|92.2|2.1|5.7|3.0|10.8|74.0|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_lm_lm_train_bpe500_valid.loss.ave_asr_model_valid.acc.best/test|10576|242435|86.0|7.3|6.8|3.5|17.5|74.0|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_transformer_hubert.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_transformer_hubert_raw_bpe500_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_bpe500_sp/train/speech_shape
  - exp/asr_stats_raw_bpe500_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_bpe500_sp/valid/speech_shape
  - exp/asr_stats_raw_bpe500_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-150390.uytFFbyG/raw/train_sp/wav.scp
      - speech
      - kaldi_ark
  -   - /tmp/jiatong-150390.uytFFbyG/raw/train_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - /tmp/jiatong-150390.uytFFbyG/raw/dev/wav.scp
      - speech
      - kaldi_ark
  -   - /tmp/jiatong-150390.uytFFbyG/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: 25000
  token_list:
  - <blank>
  - <unk>
  - ':'
  - N
  - ▁A
  - ▁WA
  - ▁KE
  - ▁YO
  - ▁NE
  - ▁SE
  - H
  - MO
  - WA
  - ''''
  - ▁NO
  - ▁I
  - ▁N
  - S
  - ▁KI
  - K
  - ▁
  - MAH
  - KA
  - TA
  - L
  - ▁POS
  - PA
  - ▁KA
  - ▁TA
  - ▁MO
  - T
  - ▁YEHWA
  - I
  - MEH
  - ▁YA
  - ▁DE
  - MA
  - A
  - ▁TE
  - TI
  - TSI
  - NI
  - CHI
  - ▁PERO
  - KI
  - LI
  - TO
  - WI
  - ▁PARA
  - KO
  - E
  - ▁O
  - ▁IKA
  - TE
  - O
  - W
  - ▁NEH
  - ▁NOCHI
  - CH
  - ▁TI
  - ▁TIK
  - LO
  - ▁SAH
  - ▁MAH
  - NA
  - LA
  - ▁OMPA
  - ▁IHKÓ
  - YA
  - ▁NI
  - ▁PORQUE
  - ▁MA
  - YO
  - ▁TEIN
  - LIA
  - ▁E
  - MPA
  - ▁NIKA
  - X
  - YAH
  - ▁KWALTSI
  - SA
  - TSA
  - ▁MOCHI
  - ▁NIK
  - ▁WE
  - ▁TO
  - TSÍ
  - ▁SEMI
  - ▁KITA
  - WAK
  - KWI
  - MI
  - ▁MM
  - ▁XO
  - ▁SEKI
  - JÓ
  - AH
  - ▁KOMO
  - R
  - NE
  - ▁OK
  - ▁KWALI
  - ▁CHI
  - ▁YEH
  - ▁NELI
  - SE
  - PO
  - WAH
  - PI
  - ME
  - KWA
  - ▁PA
  - ▁ONKAK
  - KE
  - ▁YE
  - ▁T
  - LTIK
  - ▁TEHWA
  - TAH
  - ▁TIKI
  - ▁QUE
  - ▁NIKI
  - PE
  - ▁IWKI
  - XI
  - TOK
  - ▁TAMAN
  - ▁KO
  - TSO
  - LE
  - RA
  - SI
  - WÍ
  - MAN
  - ▁TIMO
  - 'NO'
  - SO
  - ▁MIAK
  - U
  - ▁TEH
  - ▁KICHI
  - ▁XA
  - WE
  - ▁KOW
  - KEH
  - NÍ
  - LIK
  - ▁ITECH
  - TIH
  - ▁PE
  - ▁KIPIA
  - ▁CUANDO
  - ▁KWALTIA
  - ▁HASTA
  - LOWA
  - ▁ENTÓ
  - ▁NA
  - XO
  - RO
  - TIA
  - ▁NIKITA
  - CHIHCHI
  - ▁SEPA
  - ▁MAHYÁ
  - ▁PAHTI
  - ▁K
  - LIAH
  - ▁SAYOH
  - MATI
  - ▁PI
  - TS
  - ▁MÁS
  - XMATI
  - KAH
  - ▁XI
  - M