readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: en
  datasets:
  - slurp_entity
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `pyf98/slurp_entity_conformer`
  
  This model was trained by Yifan Peng using slurp_entity recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout 55b6cc387fd0252d1a06db2042fd101bcea7bb34
  pip install -e .
  cd egs2/slurp_entity/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model pyf98/slurp_entity_conformer
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Thu May 26 14:51:29 EDT 2022`
  - python version: `3.9.12 (main, Apr  5 2022, 06:56:58)  [GCC 7.5.0]`
  - espnet version: `espnet 202204`
  - pytorch version: `pytorch 1.11.0`
  - Git hash: `4f36236ed7c8a25c2f869e518614e1ad4a8b50d6`
    - Commit date: `Thu May 26 00:22:45 2022 -0400`
  
  ## asr_train_asr_conformer_e12_d6_size512_lr1e-3_warmup35k_raw_en_word
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave_10best/devel|8690|178058|82.9|7.8|9.3|2.7|19.8|51.5|
  |decode_asr_asr_model_valid.acc.ave_10best/test|13078|262176|81.9|7.8|10.3|2.6|20.7|50.7|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave_10best/devel|8690|847400|89.4|3.1|7.5|3.1|13.7|51.5|
  |decode_asr_asr_model_valid.acc.ave_10best/test|13078|1245475|88.4|3.1|8.5|3.0|14.6|50.7|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_conformer_e12_d6_size512_lr1e-3_warmup35k.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_conformer_e12_d6_size512_lr1e-3_warmup35k_raw_en_word
  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: 50
  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: 1
  no_forward_run: false
  resume: true
  train_dtype: float32
  use_amp: false
  log_interval: null
  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: 64
  valid_batch_size: null
  batch_bins: 1000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_en_word/train/speech_shape
  - exp/asr_stats_raw_en_word/train/text_shape.word
  valid_shape_file:
  - exp/asr_stats_raw_en_word/valid/speech_shape
  - exp/asr_stats_raw_en_word/valid/text_shape.word
  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:
  -   - dump/raw/train/wav.scp
      - speech
      - kaldi_ark
  -   - dump/raw/train/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/devel/wav.scp
      - speech
      - kaldi_ark
  -   - dump/raw/devel/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: 0.001
      weight_decay: 1.0e-06
  scheduler: warmuplr
  scheduler_conf:
      warmup_steps: 35000
  token_list:
  - <blank>
  - <unk>
  - ▁SEP
  - ▁FILL
  - s
  - ▁the
  - a
  - ▁to
  - ▁i
  - ▁me
  - e
  - ▁s
  - ▁a
  - i
  - ▁you
  - ▁what
  - er
  - ing
  - u
  - ▁is
  - ''''
  - o
  - p
  - ▁in
  - ▁p
  - y
  - ▁my
  - ▁please
  - d
  - c
  - m
  - ▁b
  - l
  - ▁m
  - ▁c
  - st
  - date
  - n
  - ▁d
  - le
  - b
  - ▁for
  - re
  - t
  - ▁on
  - en
  - h
  - 'on'
  - ar
  - person
  - ▁re
  - ▁f
  - ▁g
  - ▁of
  - an
  - ▁
  - g
  - ▁today
  - ▁t
  - or
  - ▁it
  - ▁this
  - ▁h
  - r
  - f
  - at
  - ch
  - ce
  - place_name
  - ▁email
  - ▁do
  - es
  - ri
  - ▁e
  - ▁w
  - ic
  - in
  - ▁that
  - event_name
  - ▁play
  - ▁and
  - al
  - ▁n
  - ▁can
  - email_query
  - ve
  - ▁new
  - day
  - it
  - ate
  - ▁from
  - ▁have
  - k
  - time
  - ▁am
  - media_type
  - email_sendemail
  - ent
  - ▁olly
  - qa_factoid
  - se
  - v
  - et
  - ck
  - ▁any
  - calendar_set
  - ly
  - th
  - ▁how
  - ▁meeting
  - ed
  - ▁tell
  - ▁st
  - x
  - ur
  - ro
  - ▁at
  - nd
  - ▁list
  - w
  - ▁u
  - ou
  - ▁not
  - ▁about
  - ▁an
  - ▁o
  - general_negate
  - ut
  - ▁time
  - ▁be
  - ▁ch
  - ▁are
  - social_post
  - business_name
  - la
  - ty
  - play_music
  - ot
  - general_quirky
  - ▁l
  - ▁sh
  - ▁tweet
  - om
  - ▁week
  - um
  - ▁one
  - ter
  - ▁he
  - ▁up
  - ▁com
  - general_praise