readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-large-xls-r-300m-korean-g
    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-korean-g
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9226
  - Cer: 0.1638
  
  ## 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: 0.0001
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 4.8333        | 3.25  | 500  | 3.4624          | 0.9560 |
  | 1.243         | 6.49  | 1000 | 1.0049          | 0.2488 |
  | 0.3657        | 9.74  | 1500 | 0.8749          | 0.2087 |
  | 0.2104        | 12.99 | 2000 | 0.8799          | 0.1909 |
  | 0.1508        | 16.23 | 2500 | 0.9321          | 0.1845 |
  | 0.1245        | 19.48 | 3000 | 0.8778          | 0.1744 |
  | 0.1048        | 22.73 | 3500 | 0.9793          | 0.1808 |
  | 0.0922        | 25.97 | 4000 | 0.9464          | 0.1697 |
  | 0.0801        | 29.22 | 4500 | 0.9226          | 0.1638 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.13.0
  