readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-large-xls-r-1b-korean-convsen5
    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-1b-korean-convsen5
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0655
  - Cer: 0.0105
  
  ## 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: 4
  - eval_batch_size: 4
  - 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Cer    | Validation Loss |
  |:-------------:|:-----:|:----:|:------:|:---------------:|
  | 0.2312        | 1.0   | 1408 | 0.0869 | 0.4450          |
  | 0.109         | 2.0   | 2816 | 0.0789 | 0.4756          |
  | 0.0457        | 3.0   | 4224 | 0.0696 | 0.5013          |
  | 0.0334        | 4.0   | 5632 | 0.0628 | 0.4815          |
  | 0.0222        | 5.0   | 7040 | 0.0655 | 0.0105          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.13.0
  - Datasets 2.6.1
  - Tokenizers 0.11.0
  