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-xls-r-1b
    results:
    - task:
        name: Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 7.0
        type: mozilla-foundation/common_voice_7_0
        args: ja
      metrics:
      - name: Test WER (with LM)
        type: wer
        value: 11.77
      - name: Test CER (with LM)
        type: cer
        value: 5.22
    - 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: 12.23
      - name: Test CER (with LM)
        type: cer
        value: 5.33
    - 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: 29.35
      - name: Test CER (with LM)
        type: cer
        value: 16.43
    - 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: 19.48
  ---
  ## Model description
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA 
  
  ### 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| 16.97 | 17.95 |
  |with 4-grams LM| 11.77 | 12.23|
  ### 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| 6.82 | 7.05 |
  |with 4-grams LM| 5.22 | 5.33 |
  ## Evaluation
  Please use the eval.py file to run the evaluation:
  ```python
  pip install mecab-python3 unidic-lite pykakasi
  python eval.py --model_id vutankiet2901/wav2vec2-xls-r-1b-ja --dataset mozilla-foundation/common_voice_8_0 --config ja --split test --log_outputs
  ```
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-05
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 2000
  - num_epochs: 100.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
  | 3.484         | 9.49  | 1500  | 1.1849          | 0.7543 | 0.4099 |
  | 1.3582        | 18.98 | 3000  | 0.4320          | 0.3489 | 0.1591 |
  | 1.1716        | 28.48 | 4500  | 0.3835          | 0.3175 | 0.1454 |
  | 1.0951        | 37.97 | 6000  | 0.3732          | 0.3033 | 0.1405 |
  | 1.04          | 47.47 | 7500  | 0.3485          | 0.2898 | 0.1360 |
  | 0.9768        | 56.96 | 9000  | 0.3386          | 0.2787 | 0.1309 |
  | 0.9129        | 66.45 | 10500 | 0.3363          | 0.2711 | 0.1272 |
  | 0.8614        | 75.94 | 12000 | 0.3386          | 0.2676 | 0.1260 |
  | 0.8092        | 85.44 | 13500 | 0.3356          | 0.2610 | 0.1240 |
  | 0.7658        | 94.93 | 15000 | 0.3316          | 0.2564 | 0.1218 |
  
  
  ### Framework versions
  
  - Transformers 4.16.0.dev0
  - Pytorch 1.10.1+cu102
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  