readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: fr
  datasets:
  - accented french (openslr56)
  
  license: cc-by-4.0
  ---
  
  
  ## ESPnet2  model
  
  This model was trained by Dan Berrebbi using  recipe in [espnet](https://github.com/espnet/espnet/).
  
  # RESULTS
  ## Environments
  - date: `Sat Apr 16 14:14:45 EDT 2022`
  - python version: `3.9.12 (main, Apr  5 2022, 06:56:58)  [GCC 7.5.0]`
  - espnet version: `espnet 0.10.6a1`
  - pytorch version: `pytorch 1.11.0+cu102`
  - Git hash: `f6cbc61353e0a1cefe81ae596278f7db1f0b7dd9`
    - Commit date: `Fri Apr 15 18:31:26 2022 -0400`
  - Model on HuggingFace repository : https://huggingface.co/espnet/accented_french_openslr57_ASR_transformer
  
  ## asr_transformer_baseline
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave_10best/devtest|481|3172|97.4|1.6|1.0|0.2|2.8|15.0|
  |decode_asr_asr_model_valid.acc.ave_10best/test|515|2941|85.2|13.4|1.3|9.1|23.9|58.4|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave_10best/devtest|481|16205|98.7|0.2|1.1|0.2|1.5|15.0|
  |decode_asr_asr_model_valid.acc.ave_10best/test|515|16233|95.8|2.0|2.2|2.1|6.3|58.4|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave_10best/devtest|481|7555|98.1|0.6|1.4|0.3|2.2|15.0|
  |decode_asr_asr_model_valid.acc.ave_10best/test|515|7998|88.9|6.7|4.5|1.3|12.4|58.4|
  
  
  
  ##  ASR config
  
  <details><summary>expand</summary>
  
  ``` 
  config: conf/tuning/train_asr_transformer.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_transformer_baseline
  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
  nbest_averaging_interval: 0
  grad_clip: 5
  grad_clip_type: 2.0
  grad_noise: false
  accum_grad: 4
  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: 16
  valid_batch_size: null
  batch_bins: 1000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_bpe250/train/speech_shape
  - exp/asr_stats_raw_bpe250/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_bpe250/valid/speech_shape
  - exp/asr_stats_raw_bpe250/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:
  -   - dump/raw/train/wav.scp
      - speech
      - sound
  -   - dump/raw/train/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev/wav.scp
      - speech
      - sound
  -   - 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: 1
  scheduler: noamlr
  scheduler_conf:
      warmup_steps: 4000
  token_list:
  - <blank>
  - <unk>
  - ▁
  - s
  - u
  - t
  - ''''
  - i
  - r
  - e
  - a
  - ▁est
  - o
  - ▁de
  - l
  - ▁a
  - c
  - é
  - '-'
  - n
  - ▁d
  - re
  - ▁l
  - ▁la
  - m
  - ▁que
  - ▁n
  - ce
  - ▁le
  - d
  - ▁c
  - ▁il
  - 'on'
  - p
  - à
  - ▁qui
  - it
  - ▁f
  - is
  - te
  - ▁qu
  - ▁un
  - in
  - ▁pas
  - ▁ne
  - ▁vous
  - er
  - ▁les
  - ▁et
  - en
  - ▁ma
  - ▁se
  - ▁en
  - ▁on
  - f
  - ent
  - b
  - ▁p
  - ▁t
  - ra
  - ▁b
  - ▁vo
  - che
  - ez
  - ro
  - le
  - eur
  - ne
  - ▁m
  - il
  - or
  - ▁vi
  - vous
  - ▁sa
  - tre
  - es
  - ▁bien
  - ie
  - ▁ou
  - ▁au
  - ▁par
  - ▁pa
  - ▁h
  - ir
  - ▁bon
  - ille
  - me
  - ▁ce
  - ▁y
  - ▁fait
  - ▁des
  - eau
  - ▁avez
  - and
  - ur
  - ant
  - ▁du
  - ▁mo
  - h
  - ▁co
  - ▁plus
  - ▁pour
  - ▁une
  - ▁je
  - ▁faut
  - ier
  - sse
  - ▁é
  - eux
  - nt
  - ▁re
  - ▁cha
  - ▁sont
  - que
  - age
  - ▁tout
  - de
  - y
  - ▁son
  - ▁tou
  - â
  - elle
  - ée
  - ▁dans
  - ▁personne
  - ▁va
  - ▁pr
  - ▁dé
  - ▁con
  - ▁ave
  - ▁si
  - aux
  - ▁mais
  - ▁me
  - ▁peut
  - ▁po
  - nge
  - ▁ba
  - ▁comme
  - ter
  - ▁jamais
  - ine
  - ▁ch
  - ▁quelle
  - ▁j
  - ▁mieux
  - ment
  - ion
  - ette
  - ▁cett
  - ▁faire
  - ▁vaut
  - aire
  - z
  - ▁sur
  - ▁homme
  - ▁soi
  - ▁mon
  - ▁rien
  - ▁nous
  - ▁autre
  - ▁perd
  - ▁bou
  - ▁combien
  - ▁parle
  - ▁donne
  - omp
  - ▁deux
  - oir
  - ▁ici
  - ▁peu
  - ▁grand
  - ▁sou
  - jours
  - ▁pro
  - sans
  - ▁petit
  - ▁femme
  - ard
  - ▁bonne
  - ix
  - use
  - q
  - ▁ami
  - ▁êtes
  - ▁point
  - ▁être
  - ▁prend
  - ▁enfant
  - ▁cour
  - ▁mauvais
  - ▁médeci