readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - zeroth_korean_asr
  model-index:
  - name: wav2vec2-large-xls-r-300m-kor-11385
    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-kor-11385
  
  This model is a fine-tuned version of [teddy322/wav2vec2-large-xls-r-300m-kor-11385](https://huggingface.co/teddy322/wav2vec2-large-xls-r-300m-kor-11385) on the zeroth_korean_asr dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4033
  - Wer: 0.2805
  
  ## 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: 4
  - total_train_batch_size: 64
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.0502        | 1.97  | 400  | 0.4049          | 0.3283 |
  | 0.0631        | 3.94  | 800  | 0.4618          | 0.3260 |
  | 0.0508        | 5.91  | 1200 | 0.4391          | 0.3170 |
  | 0.0325        | 7.88  | 1600 | 0.4138          | 0.2935 |
  | 0.0244        | 9.85  | 2000 | 0.4033          | 0.2805 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  