readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: en
  datasets:
  - librispeech_100
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `pyf98/librispeech_100h_conformer`
  
  This model was trained by Yifan Peng using librispeech_100 recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout 060fdb8b231b980c67b88a00fb8dd644aebbb1c0
  pip install -e .
  cd egs2/librispeech_100/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model pyf98/librispeech_100h_conformer
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Mon Feb  7 21:28:00 EST 2022`
  - python version: `3.9.7 (default, Sep 16 2021, 13:09:58)  [GCC 7.5.0]`
  - espnet version: `espnet 0.10.6a1`
  - pytorch version: `pytorch 1.10.1`
  - Git hash: `060fdb8b231b980c67b88a00fb8dd644aebbb1c0`
    - Commit date: `Mon Feb 7 21:26:51 2022 -0500`
  
  ## asr_conformer_win400_hop160_ctc0.3_lr2e-3_warmup15k_timemask5_amp_no-deterministic
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |beam1_ctc0.3/dev_clean|2703|54402|93.6|5.3|1.1|1.5|8.0|58.5|
  |beam1_ctc0.3/dev_other|2864|50948|83.7|14.3|2.0|3.2|19.5|81.2|
  |beam1_ctc0.3/test_clean|2620|52576|93.3|5.6|1.1|1.7|8.4|59.4|
  |beam1_ctc0.3/test_other|2939|52343|83.5|14.4|2.1|2.9|19.4|83.3|
  |beam20_ctc0.3/dev_clean|2703|54402|94.5|5.1|0.4|0.8|6.3|56.3|
  |beam20_ctc0.3/dev_other|2864|50948|84.6|13.9|1.5|2.1|17.4|79.9|
  |beam20_ctc0.3/test_clean|2620|52576|94.3|5.3|0.4|0.8|6.5|57.0|
  |beam20_ctc0.3/test_other|2939|52343|84.7|13.7|1.6|2.0|17.3|81.6|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |beam1_ctc0.3/dev_clean|2703|288456|97.4|1.2|1.4|1.4|4.0|58.5|
  |beam1_ctc0.3/dev_other|2864|265951|92.5|4.5|3.0|3.2|10.7|81.2|
  |beam1_ctc0.3/test_clean|2620|281530|97.3|1.2|1.5|1.5|4.2|59.4|
  |beam1_ctc0.3/test_other|2939|272758|92.6|4.3|3.1|2.9|10.3|83.3|
  |beam20_ctc0.3/dev_clean|2703|288456|98.2|1.1|0.7|0.7|2.5|56.3|
  |beam20_ctc0.3/dev_other|2864|265951|93.3|4.2|2.5|2.0|8.7|79.9|
  |beam20_ctc0.3/test_clean|2620|281530|98.1|1.1|0.8|0.6|2.5|57.0|
  |beam20_ctc0.3/test_other|2939|272758|93.5|4.0|2.6|1.9|8.4|81.6|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |beam1_ctc0.3/dev_clean|2703|69558|91.0|5.5|3.5|1.4|10.4|58.5|
  |beam1_ctc0.3/dev_other|2864|64524|80.2|14.7|5.1|4.2|24.0|81.2|
  |beam1_ctc0.3/test_clean|2620|66983|91.0|5.6|3.4|1.6|10.6|59.4|
  |beam1_ctc0.3/test_other|2939|66650|80.0|14.4|5.6|3.7|23.7|83.3|
  |beam20_ctc0.3/dev_clean|2703|69558|91.9|5.0|3.1|0.6|8.7|56.3|
  |beam20_ctc0.3/dev_other|2864|64524|81.0|13.5|5.5|2.3|21.3|79.9|
  |beam20_ctc0.3/test_clean|2620|66983|92.0|5.0|3.0|0.6|8.6|57.0|
  |beam20_ctc0.3/test_other|2939|66650|81.2|13.0|5.8|2.0|20.9|81.6|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/train_asr_conformer_win400_hop160_ctc0.3_lr2e-3_warmup15k_timemask5_amp_no-deterministic.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_conformer_win400_hop160_ctc0.3_lr2e-3_warmup15k_timemask5_amp_no-deterministic
  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_bpe5000_sp/train/speech_shape
  - exp/asr_stats_raw_en_bpe5000_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_en_bpe5000_sp/valid/speech_shape
  - exp/asr_stats_raw_en_bpe5000_sp/valid/text_shape.bpe
  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/de