readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: en
  datasets:
  - librispeech_asr
  - librispeech 960h
  
  license: cc-by-4.0
  ---
  
  ## ESPnet2  model
  
  
  This model was trained by Chaitanya Narisetty using  recipe in [espnet](https://github.com/espnet/espnet/).
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Wed Apr 27 09:30:57 EDT 2022`
  - python version: `3.8.5 (default, Sep  4 2020, 07:30:14)  [GCC 7.3.0]`
  - espnet version: `espnet 0.10.7a1`
  - pytorch version: `pytorch 1.8.1+cu102`
  - Git hash: `21d19be00089678ca27f7fce474ef8d787689512`
    - Commit date: `Wed Mar 16 08:06:52 2022 -0400`
  
  ## asr_train_conformer-rnn_transducer_raw_en_bpe5000_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/dev_clean|2703|54402|97.7|2.1|0.2|0.3|2.6|31.5|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/dev_other|2864|50948|93.8|5.6|0.6|0.6|6.8|50.8|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/test_clean|2620|52576|97.5|2.3|0.2|0.3|2.8|32.7|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/test_other|2939|52343|94.1|5.3|0.6|0.7|6.6|51.8|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/dev_clean|2703|54402|98.0|1.8|0.2|0.2|2.2|28.2|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/dev_other|2864|50948|94.8|4.5|0.7|0.5|5.7|45.1|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/test_clean|2620|52576|97.9|1.9|0.2|0.3|2.4|29.3|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/test_other|2939|52343|94.9|4.3|0.7|0.5|5.6|47.0|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/dev_clean|2703|288456|99.4|0.4|0.3|0.2|0.9|31.5|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/dev_other|2864|265951|97.7|1.4|0.9|0.8|3.0|50.8|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/test_clean|2620|281530|99.4|0.4|0.3|0.3|0.9|32.7|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/test_other|2939|272758|97.9|1.2|0.9|0.8|2.8|51.8|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/dev_clean|2703|288456|99.4|0.3|0.3|0.2|0.8|28.2|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/dev_other|2864|265951|97.9|1.1|1.0|0.6|2.7|45.1|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/test_clean|2620|281530|99.4|0.3|0.3|0.2|0.9|29.3|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/test_other|2939|272758|98.1|0.9|1.0|0.6|2.5|47.0|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/dev_clean|2703|68010|97.2|2.1|0.7|0.4|3.3|31.5|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/dev_other|2864|63110|92.7|5.6|1.7|1.2|8.6|50.8|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/test_clean|2620|65818|97.0|2.2|0.9|0.4|3.4|32.7|
  |decode_lm_weight0.0_asr_model_valid.loss.ave_10best/test_other|2939|65101|93.0|5.1|1.9|1.0|8.0|51.8|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/dev_clean|2703|68010|97.5|1.8|0.8|0.4|2.9|28.2|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/dev_other|2864|63110|93.5|4.5|1.9|0.9|7.4|45.1|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/test_clean|2620|65818|97.3|1.9|0.8|0.4|3.0|29.3|
  |decode_lm_weight0.4_lm_lm_train_lm_transformer2_en_bpe5000_17epoch_asr_model_valid.loss.ave_10best/test_other|2939|65101|93.9|4.1|1.9|0.8|6.9|47.0|
  
  
  ##  ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/transducer/train_conformer-rnn_transducer.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_conformer-rnn_transducer_raw_en_bpe5000_sp
  ngpu: 1
  seed: 0
  num_workers: 1
  num_att_plot: 0
  dist_backend: nccl
  dist_init_method: env://
  dist_world_size: 4
  dist_rank: 0
  local_rank: 0
  dist_master_addr: localhost
  dist_master_port: 35239
  dist_launcher: null
  multiprocessing_distributed: true
  unused_parameters: false
  sharded_ddp: false
  cudnn_enabled: true
  cudnn_benchmark: false
  cudnn_deterministic: true
  collect_stats: false
  write_collected_feats: false
  max_epoch: 25
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - loss
      - min
  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: 