readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2_xlsr50k_korean_phoneme_aihub-40m
    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_xlsr50k_korean_phoneme_aihub-40m
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on 40 minutes of [the Korean Spontaneous Conversational speech dataset](https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=109).
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  - Training data: AIHUB 자유대화 음성(일반남녀) dataset
  - Num of speakers for training: 2
  - Num of audio files: 425
  - Total audio length: about 41 minutes
  - No evaluation (will be updated soon)
  
  ## Training procedure
  
  - Token preprocessing: convert hangeul-jamo to MFA-v1-based phoneset (no longer available; v2 is based on ipa-format)
  - Vocab size: 46
  
  ### 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: 200
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.21.3
  - Pytorch 1.8.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  