readme: ---
  license: apache-2.0
  language:
  - ja
  tags:
  - automatic-speech-recognition
  - common-voice
  - hf-asr-leaderboard
  - ja
  - robust-speech-event
  datasets:
  - mozilla-foundation/common_voice_8_0
  model-index:
  - name: wav2vec2-large-xlsr-53-ja
    results:
    - task:
        name: Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 7.0
        type: mozilla-foundation/common_voice_8_0
        args: ja
      metrics:
      - name: Test WER (with LM)
        type: wer
        value: 15.37
      - name: Test CER (with LM)
        type: cer
        value: 6.91
    - task:
        name: Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8.0
        type: mozilla-foundation/common_voice_8_0
        args: ja
      metrics:
      - name: Test WER (with LM)
        type: wer
        value: 16.09
      - name: Test CER (with LM)
        type: cer
        value: 7.15
    - task:
        name: Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Robust Speech Event - Dev Data
        type: speech-recognition-community-v2/dev_data
        args: ja
      metrics:
      - name: Test WER (with LM)
        type: wer
        value: 37.96
      - name: Test CER (with LM)
        type: cer
        value: 21.11
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Robust Speech Event - Test Data
        type: speech-recognition-community-v2/eval_data
        args: ja
      metrics:
      - name: Test CER
        type: cer
        value: 26.02
  ---
  
  ## Model description
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset.
  
  ### Benchmark WER result:
  | | [COMMON VOICE 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0) | [COMMON VOICE 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0)
  |---|---|---|
  |without LM| 15.74 | 25.10 |
  |with 4-grams LM| 15.37 | 16.09 |
  
  ### Benchmark CER result:
  | | [COMMON VOICE 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0) | [COMMON VOICE 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0)
  |---|---|---|
  |without LM| 9.51 | 9.95 |
  |with 4-grams LM| 6.91 | 7.15 |
  
  ## Evaluation
  
  Please use the eval.py file to run the evaluation:
  
  ```python
  python eval.py --model_id vutankiet2901/wav2vec2-large-xlsr-53-ja --dataset mozilla-foundation/common_voice_7_0 --config ja --split test --log_outputs
  ```
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 0.0003
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 2000
  - num_epochs: 50.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
  | 4.7776        | 4.73  | 1500  | 2.9540          | 0.9772 | 0.8489 |
  | 1.9076        | 9.46  | 3000  | 0.7146          | 0.5371 | 0.2484 |
  | 1.507         | 14.2  | 4500  | 0.5843          | 0.4689 | 0.2196 |
  | 1.3742        | 18.93 | 6000  | 0.5286          | 0.4321 | 0.1988 |
  | 1.2776        | 23.66 | 7500  | 0.5007          | 0.4056 | 0.1870 |
  | 1.2003        | 28.39 | 9000  | 0.4676          | 0.3848 | 0.1802 |
  | 1.1281        | 33.12 | 10500 | 0.4524          | 0.3694 | 0.1720 |
  | 1.0657        | 37.85 | 12000 | 0.4449          | 0.3590 | 0.1681 |
  | 1.0129        | 42.59 | 13500 | 0.4266          | 0.3423 | 0.1617 |
  | 0.9691        | 47.32 | 15000 | 0.4214          | 0.3375 | 0.1587 |
  
  
  ### Framework versions
  
  - Transformers 4.16.0.dev0
  - Pytorch 1.10.1+cu102
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  