readme: ---
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - ../AI_Light_Dance.py
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_singing_ft_wav2vec2-large-lv60-v2
    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. -->
  
  # ai-light-dance_singing_ft_wav2vec2-large-lv60-v2
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing_ft_wav2vec2-large-lv60](https://huggingface.co/gary109/ai-light-dance_singing_ft_wav2vec2-large-lv60) on the ../AI_LIGHT_DANCE.PY - ONSET-SINGING dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4285
  - Wer: 0.1858
  
  ## 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: 3e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.2775        | 1.0   | 1106  | 0.4372          | 0.2117 |
  | 0.2154        | 2.0   | 2212  | 0.4474          | 0.2044 |
  | 0.2023        | 3.0   | 3318  | 0.4372          | 0.1920 |
  | 0.186         | 4.0   | 4424  | 0.4285          | 0.1858 |
  | 0.1856        | 5.0   | 5530  | 0.4589          | 0.1826 |
  | 0.1537        | 6.0   | 6636  | 0.4658          | 0.1774 |
  | 0.1337        | 7.0   | 7742  | 0.4769          | 0.1744 |
  | 0.108         | 8.0   | 8848  | 0.4604          | 0.1724 |
  | 0.1593        | 9.0   | 9954  | 0.4731          | 0.1694 |
  | 0.0904        | 10.0  | 11060 | 0.4843          | 0.1683 |
  
  
  ### Framework versions
  
  - Transformers 4.20.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.2.2.dev0
  - Tokenizers 0.12.1
  