readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: noinfo
  datasets:
  - librispeech_100
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `jkang/espnet2_librispeech_100_conformer_word`
  
  This model was trained by jaekookang using librispeech_100 recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout 82a0a0fa97b8a4a578f0a2c031ec49b3afec1504
  pip install -e .
  cd egs2/librispeech_100/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model jkang/espnet2_librispeech_100_conformer_word
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Tue Feb 22 17:38:22 KST 2022`
  - python version: `3.9.7 (default, Sep 16 2021, 13:09:58)  [GCC 7.5.0]`
  - espnet version: `espnet 0.10.7a1`
  - pytorch version: `pytorch 1.10.1`
  - Git hash: `e79e7185780b90e56618859855a038b4369b002c`
    - Commit date: `Tue Feb 22 15:34:12 2022 +0900`
  
  ## asr_conformer_lr2e-3_warmup15k_amp_nondeterministic
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave/dev_clean|2703|54402|91.0|8.4|0.6|1.0|10.0|70.1|
  |decode_asr_asr_model_valid.acc.ave/dev_other|2864|50948|82.9|15.6|1.5|2.5|19.6|83.3|
  |decode_asr_asr_model_valid.acc.ave/test_clean|2620|52576|90.7|8.7|0.6|1.0|10.3|71.4|
  |decode_asr_asr_model_valid.acc.ave/test_other|2939|52343|82.1|16.1|1.7|2.3|20.2|85.9|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave/dev_clean|2703|288456|95.7|2.6|1.7|1.3|5.6|70.1|
  |decode_asr_asr_model_valid.acc.ave/dev_other|2864|265951|91.0|5.6|3.4|2.5|11.5|83.3|
  |decode_asr_asr_model_valid.acc.ave/test_clean|2620|281530|95.7|2.7|1.7|1.2|5.5|71.4|
  |decode_asr_asr_model_valid.acc.ave/test_other|2939|272758|90.9|5.6|3.6|2.5|11.6|85.9|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/train_asr.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_conformer_lr2e-3_warmup15k_amp_nondeterministic
  ngpu: 1
  seed: 2022
  num_workers: 4
  num_att_plot: 0
  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: false
  collect_stats: false
  write_collected_feats: false
  max_epoch: 70
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - acc
      - max
  keep_nbest_models: 10
  nbest_averaging_interval: 0
  grad_clip: 5.0
  grad_clip_type: 2.0
  grad_noise: false
  accum_grad: 4
  no_forward_run: false
  resume: true
  train_dtype: float32
  use_amp: true
  log_interval: 400
  use_matplotlib: true
  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: 20
  valid_batch_size: null
  batch_bins: 16000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_en_word_sp/train/speech_shape
  - exp/asr_stats_raw_en_word_sp/train/text_shape.word
  valid_shape_file:
  - exp/asr_stats_raw_en_word_sp/valid/speech_shape
  - exp/asr_stats_raw_en_word_sp/valid/text_shape.word
  batch_type: numel
  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:
  -   - dump/raw/train_clean_100_sp/wav.scp
      - speech
      - kaldi_ark
  -   - dump/raw/train_clean_100_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev/wav.scp
      - speech
      - kaldi_ark
  -   - dump/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: 0.002
      weight_decay: 1.0e-06
  scheduler: warmuplr
  scheduler_conf:
      warmup_steps: 15000
  token_list:
  - <blank>
  - <unk>
  - THE
  - AND
  - OF
  - TO
  - A
  - IN
  - I
  - WAS
  - HE
  - THAT
  - IT
  - HIS
  - HAD
  - AS
  - WITH
  - YOU
  - FOR
  - HER
  - BUT
  - IS
  - NOT
  - SHE
  - AT
  - 'ON'
  - BE
  - HIM
  - THEY
  - BY
  - HAVE
  - THIS
  - MY
  - WERE
  - WHICH
  - ALL
  - FROM
  - SO
  - SAID
  - ONE
  - ME
  - WE
  - THERE
  - THEIR
  - 'NO'
  - WHEN
  - AN
  - OR
  - THEM
  - WOULD
  - IF
  - WHO
  - ARE
  - BEEN
  - WHAT
  - UP
  - THEN
  - OUT
  - COULD
  - WILL
  - INTO
  - MORE
  - SOME
  - VERY
  - MAN
  - DO
  - NOW
  - LITTLE
  - ABOUT
  - YOUR
  - DID
  - THAN
  - TIME
  - LIKE
  - UPON
  - WELL
  - HAS
  - ONLY
  - TWO
  - OTHER
  - ANY
  - OUR
  - MADE
  - AFTER
  - BEFORE
  - ITS
  - DOWN
  - OVER
  - SUCH
  - OLD
  - SEE
  - THESE
  - KNOW
  - CAME
  - DAY
  - GREAT
  - US
  - MISTER
  - GOOD
  - SHOULD
  - MUCH
  - 