readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - zeroth_korean_asr
  model-index:
  - name: wav2vec2-large-xls-r-300m-korean
    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
  
  This model is a fine-tuned version of [teddy322/wav2vec2-large-xls-r-300m-korean](https://huggingface.co/teddy322/wav2vec2-large-xls-r-300m-korean) on the zeroth_korean_asr dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4474
  - Wer: 0.3320
  
  ## 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: 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: 500
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.1683        | 1.12  | 400  | 0.4871          | 0.4144 |
  | 0.2177        | 2.25  | 800  | 0.5225          | 0.4552 |
  | 0.1939        | 3.37  | 1200 | 0.5300          | 0.4456 |
  | 0.1432        | 4.49  | 1600 | 0.4704          | 0.3850 |
  | 0.1047        | 5.62  | 2000 | 0.4951          | 0.3960 |
  | 0.0864        | 6.74  | 2400 | 0.4617          | 0.3638 |
  | 0.0686        | 7.87  | 2800 | 0.4477          | 0.3393 |
  | 0.0538        | 8.99  | 3200 | 0.4474          | 0.3320 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  