readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice_10_0
  model-index:
  - name: wav2vec2-large-xls-r-300m-j-phoneme-common-test
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # wav2vec2-large-xls-r-300m-j-phoneme-common-test
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_10_0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0000
  - Wer: 0.0001
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 0.0003
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.1488        | 7.14  | 2000  | 0.0788          | 0.0919 |
  | 0.0308        | 14.28 | 4000  | 0.0155          | 0.0271 |
  | 0.0121        | 21.43 | 6000  | 0.0070          | 0.0103 |
  | 0.0067        | 28.57 | 8000  | 0.0059          | 0.0067 |
  | 0.0025        | 35.71 | 10000 | 0.0143          | 0.0180 |
  | 0.0001        | 42.85 | 12000 | 0.0000          | 0.0001 |
  | 0.0           | 50.0  | 14000 | 0.0000          | 0.0001 |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.10.0+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  