readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: noinfo
  datasets:
  - mr_openslr64
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/marathi_openslr64`
  
  This model was trained by Sujay Suresh Kumar using mr_openslr64 recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout 91325a1e58ca0b13494b94bf79b186b095fe0b58
  pip install -e .
  cd egs2/mr_openslr64/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/marathi_openslr64
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Mon Mar 21 16:06:03 UTC 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 1.11.0+cu102`
  - Git hash: `91325a1e58ca0b13494b94bf79b186b095fe0b58`
    - Commit date: `Mon Mar 21 00:40:52 2022 +0000`
  
  ## asr_train_asr_conformer_xlsr_raw_bpe150_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_batch_size1_asr_model_valid.acc.ave/marathi_test|299|3625|72.9|22.5|4.7|1.7|28.9|88.6|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_batch_size1_asr_model_valid.acc.ave/marathi_test|299|20557|91.4|3.1|5.5|1.9|10.5|88.6|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_batch_size1_asr_model_valid.acc.ave/marathi_test|299|13562|86.5|6.3|7.1|1.4|14.9|88.6|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_conformer_xlsr.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_conformer_xlsr_raw_bpe150_sp
  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: 60
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - acc
      - max
  keep_nbest_models: 5
  nbest_averaging_interval: 0
  grad_clip: 5.0
  grad_clip_type: 2.0
  grad_noise: false
  accum_grad: 3
  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:
  - frontend.upstream
  num_iters_per_epoch: null
  batch_size: 20
  valid_batch_size: null
  batch_bins: 10000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_bpe150_sp/train/speech_shape
  - exp/asr_stats_raw_bpe150_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_bpe150_sp/valid/speech_shape
  - exp/asr_stats_raw_bpe150_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/marathi_train_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/marathi_train_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/marathi_dev/wav.scp
      - speech
      - sound
  -   - dump/raw/marathi_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: 0.0005
  scheduler: warmuplr
  scheduler_conf:
      warmup_steps: 20000
  token_list:
  - <blank>
  - <unk>
  - ▁
  - ा
  - ी
  - े
  - त
  - र
  - ं
  - न
  - क
  - ्
  - व
  - ि
  - ल
  - ▁म
  - स
  - ो
  - श
  - द
  - च
  - म
  - ▁अ
  - ▁आ
  - ण
  - ु
  - ला
  - ह
  - ▁आहे
  - य
  - ▁स
  - ग
  - ▁ह
  - ्या
  - चा
  - ▁प
  - ड
  - ▁क
  - प
  - ट
  - ▁ब
  - ज
  - र्
  - ्र
  - ▁?
  - ▁ज
  - ब
  - ून
  - वा
  - ▁एक
  - ▁या
  - ळ
  - ात
  - ख
  - ध
  - ▁ति
  - ठ
  - ल्या
  - ले
  - ू
  - ▁तुम्हाला
  - ां
  - ार
  - घ
  - ची
  - ▁अस
  - थ
  - ▁का
  - ने
  - णि
  - ॅ
  - ▁त
  - ▁परवा
  - ▁ते
  - ली
  - ▁गेल
  - ळा
  - ष
  - ▁कर
  - .
  - च्या
  - ▁न
  - वर
  - ▁त्या
  - ▁प्र
  - ▁करू
  - ▁ग
  - ्ट
  - ई
  - झ
  - ▁फ
  - ाय
  - क्ष
  - ▁काय
  - पूर
  - ▁होती
  - मध
  - ▁तिथ
  - ▁काही
  - ए
  - ▁वि
  - ▁दोन
  - ▁महिन्या
  - व्हा
  - तील
  - जार
  - ▁नाही
  - ँ
  - ▁पुत
  - ॉ
  - ▁झाला
  - ▁दिसल
  - ▁साल
  - ▁रस्त्यावर
  - स्त
  - जवळ
  - न्म
  - मध्य
  - ऊ
  - ▁इथे
  - ▁तुमच
  - ▁शकते
  - मान
  - ▁उद्
  - फ
  - ै
  - ढ
  - ','
  - इ
  - ौ
  - ‍
  - ृ
  - ओ
  - ः
  - ॲ
  - आ
  - '-'
  - ञ
  - औ
  - '!'
  - ऑ
  - ऱ
  - ऐ
  - छ
  - उ
  - '?'
  - भ
  - अ
  - ऋ
  - <sos/eos>
  init: xavier_uniform
  input_size: null
  ctc_conf:
      dropout_rate: 0.0
      ctc_type: builtin
      reduce: true
      ignore_nan_grad: true
  joint_net_conf: null
  use_preprocessor: true
  token_type: bpe
  bpemodel: data/token_list/bpe_unigram150/bpe.model
  non_linguistic_symbols: null
  cleaner: null
  g2p: nul