readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-large-xls-r-300m-korean-s4
    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-s4
  
  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: 0.0378
  - Cer: 0.0048
  
  ## 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: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 0.37  | 300  | 4.6810          | 1.0    |
  | 5.541         | 0.74  | 600  | 3.2272          | 1.0    |
  | 5.541         | 1.12  | 900  | 2.9931          | 0.9389 |
  | 2.8308        | 1.49  | 1200 | 0.3785          | 0.0922 |
  | 0.4651        | 1.86  | 1500 | 0.1628          | 0.0385 |
  | 0.4651        | 2.23  | 1800 | 0.0769          | 0.0139 |
  | 0.1628        | 2.6   | 2100 | 0.0475          | 0.0069 |
  | 0.1628        | 2.97  | 2400 | 0.0378          | 0.0048 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  