readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: noinfo
  datasets:
  - yolo_mixtec
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/ftshijt_espnet2_asr_yolo_mixtec_transformer`
  
  This model was trained by ftshijt using yolo_mixtec recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  
  pip install -e .
  cd els/yolo_mixtec/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/ftshijt_espnet2_asr_yolo_mixtec_transformer
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Wed Nov 10 02:59:39 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_bpe500
  ### 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|4985|81348|84.1|11.8|4.1|2.5|18.3|82.5|
  
  ### 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|4985|626187|93.4|2.2|4.4|2.4|9.0|82.5|
  
  ### 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|4985|325684|90.7|5.2|4.1|2.2|11.5|82.5|
  
  ## 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_bpe500
  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/train/speech_shape
  - exp/asr_stats_raw_bpe500/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_bpe500/valid/speech_shape
  - exp/asr_stats_raw_bpe500/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/st-jiatong-54826.tbQP9L0N/raw/train/wav.scp
      - speech
      - kaldi_ark
  -   - /tmp/st-jiatong-54826.tbQP9L0N/raw/train/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - /tmp/st-jiatong-54826.tbQP9L0N/raw/dev/wav.scp
      - speech
      - kaldi_ark
  -   - /tmp/st-jiatong-54826.tbQP9L0N/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>
  - '4'
  - '3'
  - '1'
  - '2'
  - A
  - ▁NDI
  - '''4'
  - '''1'
  - U
  - ▁BA
  - O
  - ▁I
  - E
  - 4=
  - ▁KU
  - ▁TAN
  - ▁KA
  - '''3'
  - NI
  - ▁YA
  - RA
  - 3=
  - 2=
  - IN
  - NA
  - ▁TA
  - AN
  - ▁KAN
  - ▁NI
  - ▁NDA
  - ▁NA
  - ▁JI
  - KAN
  - CHI
  - (3)=
  - I
  - UN
  - 1-
  - ▁SA
  - (4)=
  - ▁JA
  - XI
  - ▁KO
  - ▁TI
  - TA
  - KU
  - BI
  - ▁YU
  - ▁KWA
  - KA
  - XA
  - 1=
  - ▁YO
  - RI
  - NDO
  - ▁XA
  - TU
  - ▁TU
  - ▁ÑA
  - ▁KI
  - ▁XI
  - YO
  - NDU
  - NDA
  - ▁CHI
  - (2)=
  - ▁BI
  - ▁NU
  - KI
  - (1)=
  - YU
  - 3-
  - ▁MI
  - 'ON'
  - ▁A
  - BA
  - 4-
  - KO
  - ▁NDU
  - ▁ÑU
  - ▁NDO
  - NU
  - ÑU
  - '143'
  - ▁SI
  - ▁SO
  - 13-
  - NDI
  - ▁AN
  - ▁SU
  - TIN
  - SA
  - ▁BE
  - TO
  - RUN
  - KWA
  - KWI
  - ▁NDE
  - ▁KWI
  - XIN
  - ▁U
  - SI
  - SO
  - ▁TUN
  - EN
  - ▁KWE
  - YA
  - (4)=2
  - NDE
  - TI
  - TUN
  - ▁TIN
  - MA
  - ▁SE
  - ▁XU
  - SU
  - ▁LU
  - ▁KE
  - ▁
  - MI
  - ▁RAN
  - (3)=2
  - 14-
  - ▁MA
  - KUN
  - LU
  - N
  - ▁O
  - KE
  - NGA
  - ▁IS
  - ▁JU
  - '='
  - ▁LA
  - ÑA
  - JA
  - CHUN
  - R
  - TAN
  - PU
  - ▁TIEM
  - LI
  - LA
  - CHIU
  - ▁PA
  - M
  - ▁REY
  - ▁BAN
  - JI
  - L
  - SUN
  - ▁SEÑOR
  - ▁JO
  - ▁TIO
  - KWE
  - CHU
  - S
  - ▁YE
  - KIN
  - XU
  - BE
  - ▁CUENTA
  - ▁SAN
  - RRU
  - ▁¿
  - CHA
  - ▁TO
  - RRA
  - LO
  - TE
  - ▁AMIGU
  - PA
  - XAN
  - ▁C
  - C
  - ▁CHA
  - ▁TE
  - ▁HIJO
  - ▁MB
  - ▁PI
  - G
  - ▁ÁNIMA
  - ▁CHE
  - ▁P
  - B
  - NDIO
  - SE
  - ▁SANTU
  - MU
  - ▁PADRE
  - D
  